From 17c7a9e0e749fb63649f7a5bcc418a07c99665eb Mon Sep 17 00:00:00 2001
From: Kevin Sheppard <kevin.k.sheppard@gmail.com>
Date: Mon, 4 Nov 2024 12:34:36 +0000
Subject: [PATCH] Github Actions doc build after commit cb9fe0bb

---
 ...ison_multiple-comparison_examples_17_0.png | Bin 48044 -> 47386 bytes
 ...ison_multiple-comparison_examples_22_0.png | Bin 51350 -> 49465 bytes
 ...ison_multiple-comparison_examples_26_0.png | Bin 51750 -> 52856 bytes
 ...ison_multiple-comparison_examples_30_0.png | Bin 27855 -> 29883 bytes
 ...ecasting_with_exogenous_variables_11_1.png | Bin 28805 -> 32766 bytes
 ...ecasting_with_exogenous_variables_17_0.png | Bin 72262 -> 54028 bytes
 ...recasting_with_exogenous_variables_5_0.png | Bin 110394 -> 102868 bytes
 ...univariate_volatility_forecasting_24_0.png | Bin 186537 -> 87009 bytes
 ...univariate_volatility_forecasting_26_0.png | Bin 89473 -> 70908 bytes
 devel/_modules/arch/bootstrap/base.html       |  10 +-
 .../arch/bootstrap/multiple_comparison.html   |  10 +-
 devel/_modules/arch/covariance/kernel.html    |  10 +-
 devel/_modules/arch/typing.html               |  10 +-
 .../arch/unitroot/_engle_granger.html         |  10 +-
 .../arch/unitroot/_phillips_ouliaris.html     |  10 +-
 devel/_modules/arch/unitroot/_shared.html     |  10 +-
 .../_modules/arch/unitroot/cointegration.html |  10 +-
 devel/_modules/arch/unitroot/unitroot.html    |  10 +-
 devel/_modules/arch/univariate/base.html      |  10 +-
 .../arch/univariate/distribution.html         |  10 +-
 devel/_modules/arch/univariate/mean.html      |  10 +-
 .../_modules/arch/univariate/volatility.html  |  10 +-
 devel/_modules/arch/utility/testing.html      |  10 +-
 devel/_modules/functools.html                 |  10 +-
 devel/_modules/index.html                     |  10 +-
 devel/_modules/numpy.html                     |  10 +-
 devel/_modules/typing.html                    |  10 +-
 ...casting_with_exogenous_variables.ipynb.txt |  18 +-
 devel/_static/documentation_options.js        |   2 +-
 devel/api.html                                |  10 +-
 devel/bootstrap/background.html               |  10 +-
 devel/bootstrap/bootstrap.html                |  10 +-
 devel/bootstrap/bootstrap_examples.html       |  38 +-
 devel/bootstrap/bootstrap_examples.ipynb      | 196 +++---
 devel/bootstrap/confidence-intervals.html     |  10 +-
 ...arch.bootstrap.CircularBlockBootstrap.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.html          |  10 +-
 ...bootstrap.IndependentSamplesBootstrap.html |  10 +-
 .../arch.bootstrap.MovingBlockBootstrap.html  |  10 +-
 .../arch.bootstrap.StationaryBootstrap.html   |  10 +-
 .../arch.bootstrap.optimal_block_length.html  |  10 +-
 ...ootstrap.CircularBlockBootstrap.apply.html |  10 +-
 ...trap.CircularBlockBootstrap.bootstrap.html |  10 +-
 ...ootstrap.CircularBlockBootstrap.clone.html |  10 +-
 ...strap.CircularBlockBootstrap.conf_int.html |  10 +-
 ....bootstrap.CircularBlockBootstrap.cov.html |  10 +-
 ...trap.CircularBlockBootstrap.generator.html |  10 +-
 ...trap.CircularBlockBootstrap.get_state.html |  10 +-
 ...ootstrap.CircularBlockBootstrap.index.html |  10 +-
 ...p.CircularBlockBootstrap.random_state.html |  10 +-
 ...ootstrap.CircularBlockBootstrap.reset.html |  10 +-
 ...bootstrap.CircularBlockBootstrap.seed.html |  10 +-
 ...trap.CircularBlockBootstrap.set_state.html |  10 +-
 ...ootstrap.CircularBlockBootstrap.state.html |  10 +-
 ...CircularBlockBootstrap.update_indices.html |  10 +-
 ....bootstrap.CircularBlockBootstrap.var.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.apply.html    |  10 +-
 ...arch.bootstrap.IIDBootstrap.bootstrap.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.clone.html    |  10 +-
 .../arch.bootstrap.IIDBootstrap.conf_int.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.cov.html      |  10 +-
 ...arch.bootstrap.IIDBootstrap.generator.html |  10 +-
 ...arch.bootstrap.IIDBootstrap.get_state.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.index.html    |  10 +-
 ...h.bootstrap.IIDBootstrap.random_state.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.reset.html    |  10 +-
 .../arch.bootstrap.IIDBootstrap.seed.html     |  10 +-
 ...arch.bootstrap.IIDBootstrap.set_state.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.state.html    |  10 +-
 ...bootstrap.IIDBootstrap.update_indices.html |  10 +-
 .../arch.bootstrap.IIDBootstrap.var.html      |  10 +-
 ...rap.IndependentSamplesBootstrap.apply.html |  10 +-
 ...IndependentSamplesBootstrap.bootstrap.html |  10 +-
 ...rap.IndependentSamplesBootstrap.clone.html |  10 +-
 ....IndependentSamplesBootstrap.conf_int.html |  10 +-
 ...strap.IndependentSamplesBootstrap.cov.html |  10 +-
 ...IndependentSamplesBootstrap.generator.html |  10 +-
 ...IndependentSamplesBootstrap.get_state.html |  10 +-
 ...rap.IndependentSamplesBootstrap.index.html |  10 +-
 ...ependentSamplesBootstrap.random_state.html |  10 +-
 ...rap.IndependentSamplesBootstrap.reset.html |  10 +-
 ...trap.IndependentSamplesBootstrap.seed.html |  10 +-
 ...IndependentSamplesBootstrap.set_state.html |  10 +-
 ...rap.IndependentSamplesBootstrap.state.html |  10 +-
 ...endentSamplesBootstrap.update_indices.html |  10 +-
 ...strap.IndependentSamplesBootstrap.var.html |  10 +-
 ....bootstrap.MovingBlockBootstrap.apply.html |  10 +-
 ...tstrap.MovingBlockBootstrap.bootstrap.html |  10 +-
 ....bootstrap.MovingBlockBootstrap.clone.html |  10 +-
 ...otstrap.MovingBlockBootstrap.conf_int.html |  10 +-
 ...ch.bootstrap.MovingBlockBootstrap.cov.html |  10 +-
 ...tstrap.MovingBlockBootstrap.generator.html |  10 +-
 ...tstrap.MovingBlockBootstrap.get_state.html |  10 +-
 ....bootstrap.MovingBlockBootstrap.index.html |  10 +-
 ...rap.MovingBlockBootstrap.random_state.html |  10 +-
 ....bootstrap.MovingBlockBootstrap.reset.html |  10 +-
 ...h.bootstrap.MovingBlockBootstrap.seed.html |  10 +-
 ...tstrap.MovingBlockBootstrap.set_state.html |  10 +-
 ....bootstrap.MovingBlockBootstrap.state.html |  10 +-
 ...p.MovingBlockBootstrap.update_indices.html |  10 +-
 ...ch.bootstrap.MovingBlockBootstrap.var.html |  10 +-
 ...h.bootstrap.StationaryBootstrap.apply.html |  10 +-
 ...otstrap.StationaryBootstrap.bootstrap.html |  10 +-
 ...h.bootstrap.StationaryBootstrap.clone.html |  10 +-
 ...ootstrap.StationaryBootstrap.conf_int.html |  10 +-
 ...rch.bootstrap.StationaryBootstrap.cov.html |  10 +-
 ...otstrap.StationaryBootstrap.generator.html |  10 +-
 ...otstrap.StationaryBootstrap.get_state.html |  10 +-
 ...h.bootstrap.StationaryBootstrap.index.html |  10 +-
 ...trap.StationaryBootstrap.random_state.html |  10 +-
 ...h.bootstrap.StationaryBootstrap.reset.html |  10 +-
 ...ch.bootstrap.StationaryBootstrap.seed.html |  10 +-
 ...otstrap.StationaryBootstrap.set_state.html |  10 +-
 ...h.bootstrap.StationaryBootstrap.state.html |  10 +-
 ...ap.StationaryBootstrap.update_indices.html |  10 +-
 ...rch.bootstrap.StationaryBootstrap.var.html |  10 +-
 devel/bootstrap/iid-bootstraps.html           |  10 +-
 devel/bootstrap/low-level-interface.html      |  10 +-
 .../parameter-covariance-estimation.html      |  10 +-
 .../semiparametric-parametric-bootstrap.html  |  10 +-
 devel/bootstrap/timeseries-bootstraps.html    |  10 +-
 devel/changes.html                            |  10 +-
 devel/changes/1.0.html                        |  10 +-
 devel/changes/2.0.html                        |  10 +-
 devel/changes/3.0.html                        |  10 +-
 devel/changes/4.0.html                        |  10 +-
 devel/changes/5.0.html                        |  10 +-
 devel/changes/6.0.html                        |  10 +-
 devel/changes/7.0.html                        |  10 +-
 devel/covariance/covariance.html              |  10 +-
 .../arch.covariance.kernel.Andrews.html       |  10 +-
 .../arch.covariance.kernel.Bartlett.html      |  10 +-
 ....covariance.kernel.CovarianceEstimate.html |  10 +-
 ...covariance.kernel.CovarianceEstimator.html |  10 +-
 .../arch.covariance.kernel.Gallant.html       |  10 +-
 .../arch.covariance.kernel.NeweyWest.html     |  10 +-
 .../arch.covariance.kernel.Parzen.html        |  10 +-
 .../arch.covariance.kernel.ParzenCauchy.html  |  10 +-
 ...rch.covariance.kernel.ParzenGeometric.html |  10 +-
 .../arch.covariance.kernel.ParzenRiesz.html   |  10 +-
 ...h.covariance.kernel.QuadraticSpectral.html |  10 +-
 .../arch.covariance.kernel.TukeyHamming.html  |  10 +-
 .../arch.covariance.kernel.TukeyHanning.html  |  10 +-
 .../arch.covariance.kernel.TukeyParzen.html   |  10 +-
 ...h.covariance.kernel.Andrews.bandwidth.html |  10 +-
 ...riance.kernel.Andrews.bandwidth_scale.html |  10 +-
 ...ch.covariance.kernel.Andrews.centered.html |  10 +-
 .../arch.covariance.kernel.Andrews.cov.html   |  10 +-
 ...h.covariance.kernel.Andrews.force_int.html |  10 +-
 ...ovariance.kernel.Andrews.kernel_const.html |  10 +-
 ...ariance.kernel.Andrews.kernel_weights.html |  10 +-
 .../arch.covariance.kernel.Andrews.name.html  |  10 +-
 ...variance.kernel.Andrews.opt_bandwidth.html |  10 +-
 .../arch.covariance.kernel.Andrews.rate.html  |  10 +-
 ....covariance.kernel.Bartlett.bandwidth.html |  10 +-
 ...iance.kernel.Bartlett.bandwidth_scale.html |  10 +-
 ...h.covariance.kernel.Bartlett.centered.html |  10 +-
 .../arch.covariance.kernel.Bartlett.cov.html  |  10 +-
 ....covariance.kernel.Bartlett.force_int.html |  10 +-
 ...variance.kernel.Bartlett.kernel_const.html |  10 +-
 ...riance.kernel.Bartlett.kernel_weights.html |  10 +-
 .../arch.covariance.kernel.Bartlett.name.html |  10 +-
 ...ariance.kernel.Bartlett.opt_bandwidth.html |  10 +-
 .../arch.covariance.kernel.Bartlett.rate.html |  10 +-
 ...ce.kernel.CovarianceEstimate.long_run.html |  10 +-
 ...e.kernel.CovarianceEstimate.one_sided.html |  10 +-
 ...l.CovarianceEstimate.one_sided_strict.html |  10 +-
 ...e.kernel.CovarianceEstimate.short_run.html |  10 +-
 ....kernel.CovarianceEstimator.bandwidth.html |  10 +-
 ...l.CovarianceEstimator.bandwidth_scale.html |  10 +-
 ...e.kernel.CovarianceEstimator.centered.html |  10 +-
 ...riance.kernel.CovarianceEstimator.cov.html |  10 +-
 ....kernel.CovarianceEstimator.force_int.html |  10 +-
 ...rnel.CovarianceEstimator.kernel_const.html |  10 +-
 ...el.CovarianceEstimator.kernel_weights.html |  10 +-
 ...iance.kernel.CovarianceEstimator.name.html |  10 +-
 ...nel.CovarianceEstimator.opt_bandwidth.html |  10 +-
 ...iance.kernel.CovarianceEstimator.rate.html |  10 +-
 ...h.covariance.kernel.Gallant.bandwidth.html |  10 +-
 ...riance.kernel.Gallant.bandwidth_scale.html |  10 +-
 ...ch.covariance.kernel.Gallant.centered.html |  10 +-
 .../arch.covariance.kernel.Gallant.cov.html   |  10 +-
 ...h.covariance.kernel.Gallant.force_int.html |  10 +-
 ...ovariance.kernel.Gallant.kernel_const.html |  10 +-
 ...ariance.kernel.Gallant.kernel_weights.html |  10 +-
 .../arch.covariance.kernel.Gallant.name.html  |  10 +-
 ...variance.kernel.Gallant.opt_bandwidth.html |  10 +-
 .../arch.covariance.kernel.Gallant.rate.html  |  10 +-
 ...covariance.kernel.NeweyWest.bandwidth.html |  10 +-
 ...ance.kernel.NeweyWest.bandwidth_scale.html |  10 +-
 ....covariance.kernel.NeweyWest.centered.html |  10 +-
 .../arch.covariance.kernel.NeweyWest.cov.html |  10 +-
 ...covariance.kernel.NeweyWest.force_int.html |  10 +-
 ...ariance.kernel.NeweyWest.kernel_const.html |  10 +-
 ...iance.kernel.NeweyWest.kernel_weights.html |  10 +-
 ...arch.covariance.kernel.NeweyWest.name.html |  10 +-
 ...riance.kernel.NeweyWest.opt_bandwidth.html |  10 +-
 ...arch.covariance.kernel.NeweyWest.rate.html |  10 +-
 ...ch.covariance.kernel.Parzen.bandwidth.html |  10 +-
 ...ariance.kernel.Parzen.bandwidth_scale.html |  10 +-
 ...rch.covariance.kernel.Parzen.centered.html |  10 +-
 .../arch.covariance.kernel.Parzen.cov.html    |  10 +-
 ...ch.covariance.kernel.Parzen.force_int.html |  10 +-
 ...covariance.kernel.Parzen.kernel_const.html |  10 +-
 ...variance.kernel.Parzen.kernel_weights.html |  10 +-
 .../arch.covariance.kernel.Parzen.name.html   |  10 +-
 ...ovariance.kernel.Parzen.opt_bandwidth.html |  10 +-
 .../arch.covariance.kernel.Parzen.rate.html   |  10 +-
 ...ariance.kernel.ParzenCauchy.bandwidth.html |  10 +-
 ...e.kernel.ParzenCauchy.bandwidth_scale.html |  10 +-
 ...variance.kernel.ParzenCauchy.centered.html |  10 +-
 ...ch.covariance.kernel.ParzenCauchy.cov.html |  10 +-
 ...ariance.kernel.ParzenCauchy.force_int.html |  10 +-
 ...ance.kernel.ParzenCauchy.kernel_const.html |  10 +-
 ...ce.kernel.ParzenCauchy.kernel_weights.html |  10 +-
 ...h.covariance.kernel.ParzenCauchy.name.html |  10 +-
 ...nce.kernel.ParzenCauchy.opt_bandwidth.html |  10 +-
 ...h.covariance.kernel.ParzenCauchy.rate.html |  10 +-
 ...ance.kernel.ParzenGeometric.bandwidth.html |  10 +-
 ...ernel.ParzenGeometric.bandwidth_scale.html |  10 +-
 ...iance.kernel.ParzenGeometric.centered.html |  10 +-
 ...covariance.kernel.ParzenGeometric.cov.html |  10 +-
 ...ance.kernel.ParzenGeometric.force_int.html |  10 +-
 ...e.kernel.ParzenGeometric.kernel_const.html |  10 +-
 ...kernel.ParzenGeometric.kernel_weights.html |  10 +-
 ...ovariance.kernel.ParzenGeometric.name.html |  10 +-
 ....kernel.ParzenGeometric.opt_bandwidth.html |  10 +-
 ...ovariance.kernel.ParzenGeometric.rate.html |  10 +-
 ...variance.kernel.ParzenRiesz.bandwidth.html |  10 +-
 ...ce.kernel.ParzenRiesz.bandwidth_scale.html |  10 +-
 ...ovariance.kernel.ParzenRiesz.centered.html |  10 +-
 ...rch.covariance.kernel.ParzenRiesz.cov.html |  10 +-
 ...variance.kernel.ParzenRiesz.force_int.html |  10 +-
 ...iance.kernel.ParzenRiesz.kernel_const.html |  10 +-
 ...nce.kernel.ParzenRiesz.kernel_weights.html |  10 +-
 ...ch.covariance.kernel.ParzenRiesz.name.html |  10 +-
 ...ance.kernel.ParzenRiesz.opt_bandwidth.html |  10 +-
 ...ch.covariance.kernel.ParzenRiesz.rate.html |  10 +-
 ...ce.kernel.QuadraticSpectral.bandwidth.html |  10 +-
 ...nel.QuadraticSpectral.bandwidth_scale.html |  10 +-
 ...nce.kernel.QuadraticSpectral.centered.html |  10 +-
 ...variance.kernel.QuadraticSpectral.cov.html |  10 +-
 ...ce.kernel.QuadraticSpectral.force_int.html |  10 +-
 ...kernel.QuadraticSpectral.kernel_const.html |  10 +-
 ...rnel.QuadraticSpectral.kernel_weights.html |  10 +-
 ...ariance.kernel.QuadraticSpectral.name.html |  10 +-
 ...ernel.QuadraticSpectral.opt_bandwidth.html |  10 +-
 ...ariance.kernel.QuadraticSpectral.rate.html |  10 +-
 ...ariance.kernel.TukeyHamming.bandwidth.html |  10 +-
 ...e.kernel.TukeyHamming.bandwidth_scale.html |  10 +-
 ...variance.kernel.TukeyHamming.centered.html |  10 +-
 ...ch.covariance.kernel.TukeyHamming.cov.html |  10 +-
 ...ariance.kernel.TukeyHamming.force_int.html |  10 +-
 ...ance.kernel.TukeyHamming.kernel_const.html |  10 +-
 ...ce.kernel.TukeyHamming.kernel_weights.html |  10 +-
 ...h.covariance.kernel.TukeyHamming.name.html |  10 +-
 ...nce.kernel.TukeyHamming.opt_bandwidth.html |  10 +-
 ...h.covariance.kernel.TukeyHamming.rate.html |  10 +-
 ...ariance.kernel.TukeyHanning.bandwidth.html |  10 +-
 ...e.kernel.TukeyHanning.bandwidth_scale.html |  10 +-
 ...variance.kernel.TukeyHanning.centered.html |  10 +-
 ...ch.covariance.kernel.TukeyHanning.cov.html |  10 +-
 ...ariance.kernel.TukeyHanning.force_int.html |  10 +-
 ...ance.kernel.TukeyHanning.kernel_const.html |  10 +-
 ...ce.kernel.TukeyHanning.kernel_weights.html |  10 +-
 ...h.covariance.kernel.TukeyHanning.name.html |  10 +-
 ...nce.kernel.TukeyHanning.opt_bandwidth.html |  10 +-
 ...h.covariance.kernel.TukeyHanning.rate.html |  10 +-
 ...variance.kernel.TukeyParzen.bandwidth.html |  10 +-
 ...ce.kernel.TukeyParzen.bandwidth_scale.html |  10 +-
 ...ovariance.kernel.TukeyParzen.centered.html |  10 +-
 ...rch.covariance.kernel.TukeyParzen.cov.html |  10 +-
 ...variance.kernel.TukeyParzen.force_int.html |  10 +-
 ...iance.kernel.TukeyParzen.kernel_const.html |  10 +-
 ...nce.kernel.TukeyParzen.kernel_weights.html |  10 +-
 ...ch.covariance.kernel.TukeyParzen.name.html |  10 +-
 ...ance.kernel.TukeyParzen.opt_bandwidth.html |  10 +-
 ...ch.covariance.kernel.TukeyParzen.rate.html |  10 +-
 devel/genindex.html                           |  10 +-
 devel/index.html                              |  10 +-
 devel/multiple-comparison/background.html     |  10 +-
 .../generated/arch.bootstrap.MCS.html         |  10 +-
 .../generated/arch.bootstrap.SPA.html         |  10 +-
 .../generated/arch.bootstrap.StepM.html       |  10 +-
 .../generated/arch.bootstrap.MCS.compute.html |  10 +-
 .../arch.bootstrap.MCS.excluded.html          |  10 +-
 .../arch.bootstrap.MCS.included.html          |  10 +-
 .../generated/arch.bootstrap.MCS.pvalues.html |  10 +-
 .../generated/arch.bootstrap.MCS.reset.html   |  10 +-
 .../generated/arch.bootstrap.MCS.seed.html    |  10 +-
 .../arch.bootstrap.SPA.better_models.html     |  10 +-
 .../generated/arch.bootstrap.SPA.compute.html |  10 +-
 .../arch.bootstrap.SPA.critical_values.html   |  10 +-
 .../generated/arch.bootstrap.SPA.pvalues.html |  10 +-
 .../generated/arch.bootstrap.SPA.reset.html   |  10 +-
 .../generated/arch.bootstrap.SPA.seed.html    |  10 +-
 .../generated/arch.bootstrap.SPA.subset.html  |  10 +-
 .../arch.bootstrap.StepM.compute.html         |  10 +-
 .../generated/arch.bootstrap.StepM.reset.html |  10 +-
 .../generated/arch.bootstrap.StepM.seed.html  |  10 +-
 .../arch.bootstrap.StepM.superior_models.html |  10 +-
 .../multiple-comparison-reference.html        |  10 +-
 .../multiple-comparison_examples.html         |  78 +--
 .../multiple-comparison_examples.ipynb        | 180 ++---
 .../multiple-comparisons.html                 |  10 +-
 devel/objects.inv                             | Bin 64203 -> 64203 bytes
 devel/py-modindex.html                        |  10 +-
 devel/searchindex.js                          |   2 +-
 devel/types.html                              |  10 +-
 devel/unitroot/cointegration.html             |  10 +-
 .../unitroot/generated/arch.unitroot.ADF.html |  10 +-
 .../generated/arch.unitroot.DFGLS.html        |  10 +-
 .../generated/arch.unitroot.KPSS.html         |  10 +-
 .../arch.unitroot.PhillipsPerron.html         |  10 +-
 .../arch.unitroot.VarianceRatio.html          |  10 +-
 .../generated/arch.unitroot.ZivotAndrews.html |  10 +-
 .../arch.unitroot.auto_bandwidth.html         |  10 +-
 ...integration.CanonicalCointegratingReg.html |  10 +-
 ...egration.CointegrationAnalysisResults.html |  10 +-
 ...rch.unitroot.cointegration.DynamicOLS.html |  10 +-
 ...troot.cointegration.DynamicOLSResults.html |  10 +-
 ...cointegration.EngleGrangerTestResults.html |  10 +-
 ...itroot.cointegration.FullyModifiedOLS.html |  10 +-
 ...tegration.PhillipsOuliarisTestResults.html |  10 +-
 ....unitroot.cointegration.engle_granger.html |  10 +-
 ...troot.cointegration.phillips_ouliaris.html |  10 +-
 ...h.unitroot.ADF.alternative_hypothesis.html |  10 +-
 .../arch.unitroot.ADF.critical_values.html    |  10 +-
 .../generated/arch.unitroot.ADF.lags.html     |  10 +-
 .../generated/arch.unitroot.ADF.max_lags.html |  10 +-
 .../generated/arch.unitroot.ADF.nobs.html     |  10 +-
 .../arch.unitroot.ADF.null_hypothesis.html    |  10 +-
 .../generated/arch.unitroot.ADF.pvalue.html   |  10 +-
 .../arch.unitroot.ADF.regression.html         |  10 +-
 .../generated/arch.unitroot.ADF.stat.html     |  10 +-
 .../generated/arch.unitroot.ADF.summary.html  |  10 +-
 .../generated/arch.unitroot.ADF.trend.html    |  10 +-
 .../arch.unitroot.ADF.valid_trends.html       |  10 +-
 .../generated/arch.unitroot.ADF.y.html        |  10 +-
 ...unitroot.DFGLS.alternative_hypothesis.html |  10 +-
 .../arch.unitroot.DFGLS.critical_values.html  |  10 +-
 .../generated/arch.unitroot.DFGLS.lags.html   |  10 +-
 .../arch.unitroot.DFGLS.max_lags.html         |  10 +-
 .../generated/arch.unitroot.DFGLS.nobs.html   |  10 +-
 .../arch.unitroot.DFGLS.null_hypothesis.html  |  10 +-
 .../generated/arch.unitroot.DFGLS.pvalue.html |  10 +-
 .../arch.unitroot.DFGLS.regression.html       |  10 +-
 .../generated/arch.unitroot.DFGLS.stat.html   |  10 +-
 .../arch.unitroot.DFGLS.summary.html          |  10 +-
 .../generated/arch.unitroot.DFGLS.trend.html  |  10 +-
 .../arch.unitroot.DFGLS.valid_trends.html     |  10 +-
 .../generated/arch.unitroot.DFGLS.y.html      |  10 +-
 ....unitroot.KPSS.alternative_hypothesis.html |  10 +-
 .../arch.unitroot.KPSS.critical_values.html   |  10 +-
 .../generated/arch.unitroot.KPSS.lags.html    |  10 +-
 .../generated/arch.unitroot.KPSS.nobs.html    |  10 +-
 .../arch.unitroot.KPSS.null_hypothesis.html   |  10 +-
 .../generated/arch.unitroot.KPSS.pvalue.html  |  10 +-
 .../generated/arch.unitroot.KPSS.stat.html    |  10 +-
 .../generated/arch.unitroot.KPSS.summary.html |  10 +-
 .../generated/arch.unitroot.KPSS.trend.html   |  10 +-
 .../arch.unitroot.KPSS.valid_trends.html      |  10 +-
 .../generated/arch.unitroot.KPSS.y.html       |  10 +-
 ...PhillipsPerron.alternative_hypothesis.html |  10 +-
 ...itroot.PhillipsPerron.critical_values.html |  10 +-
 .../arch.unitroot.PhillipsPerron.lags.html    |  10 +-
 .../arch.unitroot.PhillipsPerron.nobs.html    |  10 +-
 ...itroot.PhillipsPerron.null_hypothesis.html |  10 +-
 .../arch.unitroot.PhillipsPerron.pvalue.html  |  10 +-
 ...ch.unitroot.PhillipsPerron.regression.html |  10 +-
 .../arch.unitroot.PhillipsPerron.stat.html    |  10 +-
 .../arch.unitroot.PhillipsPerron.summary.html |  10 +-
 ...rch.unitroot.PhillipsPerron.test_type.html |  10 +-
 .../arch.unitroot.PhillipsPerron.trend.html   |  10 +-
 ....unitroot.PhillipsPerron.valid_trends.html |  10 +-
 .../arch.unitroot.PhillipsPerron.y.html       |  10 +-
 ....VarianceRatio.alternative_hypothesis.html |  10 +-
 ...nitroot.VarianceRatio.critical_values.html |  10 +-
 .../arch.unitroot.VarianceRatio.debiased.html |  10 +-
 .../arch.unitroot.VarianceRatio.lags.html     |  10 +-
 .../arch.unitroot.VarianceRatio.nobs.html     |  10 +-
 ...nitroot.VarianceRatio.null_hypothesis.html |  10 +-
 .../arch.unitroot.VarianceRatio.overlap.html  |  10 +-
 .../arch.unitroot.VarianceRatio.pvalue.html   |  10 +-
 .../arch.unitroot.VarianceRatio.robust.html   |  10 +-
 .../arch.unitroot.VarianceRatio.stat.html     |  10 +-
 .../arch.unitroot.VarianceRatio.summary.html  |  10 +-
 .../arch.unitroot.VarianceRatio.trend.html    |  10 +-
 ...h.unitroot.VarianceRatio.valid_trends.html |  10 +-
 .../arch.unitroot.VarianceRatio.vr.html       |  10 +-
 .../arch.unitroot.VarianceRatio.y.html        |  10 +-
 ...t.ZivotAndrews.alternative_hypothesis.html |  10 +-
 ...unitroot.ZivotAndrews.critical_values.html |  10 +-
 .../arch.unitroot.ZivotAndrews.lags.html      |  10 +-
 .../arch.unitroot.ZivotAndrews.nobs.html      |  10 +-
 ...unitroot.ZivotAndrews.null_hypothesis.html |  10 +-
 .../arch.unitroot.ZivotAndrews.pvalue.html    |  10 +-
 .../arch.unitroot.ZivotAndrews.stat.html      |  10 +-
 .../arch.unitroot.ZivotAndrews.summary.html   |  10 +-
 .../arch.unitroot.ZivotAndrews.trend.html     |  10 +-
 ...ch.unitroot.ZivotAndrews.valid_trends.html |  10 +-
 .../arch.unitroot.ZivotAndrews.y.html         |  10 +-
 ...gration.CanonicalCointegratingReg.fit.html |  10 +-
 ...ointegrationAnalysisResults.bandwidth.html |  10 +-
 ...tion.CointegrationAnalysisResults.cov.html |  10 +-
 ...n.CointegrationAnalysisResults.kernel.html |  10 +-
 ...tionAnalysisResults.long_run_variance.html |  10 +-
 ...n.CointegrationAnalysisResults.params.html |  10 +-
 ....CointegrationAnalysisResults.pvalues.html |  10 +-
 ...on.CointegrationAnalysisResults.resid.html |  10 +-
 ...tionAnalysisResults.residual_variance.html |  10 +-
 ...CointegrationAnalysisResults.rsquared.html |  10 +-
 ...tegrationAnalysisResults.rsquared_adj.html |  10 +-
 ...integrationAnalysisResults.std_errors.html |  10 +-
 ....CointegrationAnalysisResults.summary.html |  10 +-
 ....CointegrationAnalysisResults.tvalues.html |  10 +-
 ...unitroot.cointegration.DynamicOLS.fit.html |  10 +-
 ...tegration.DynamicOLSResults.bandwidth.html |  10 +-
 ...t.cointegration.DynamicOLSResults.cov.html |  10 +-
 ...ntegration.DynamicOLSResults.cov_type.html |  10 +-
 ...ntegration.DynamicOLSResults.full_cov.html |  10 +-
 ...gration.DynamicOLSResults.full_params.html |  10 +-
 ...ointegration.DynamicOLSResults.kernel.html |  10 +-
 ....cointegration.DynamicOLSResults.lags.html |  10 +-
 ...cointegration.DynamicOLSResults.leads.html |  10 +-
 ...n.DynamicOLSResults.long_run_variance.html |  10 +-
 ...ointegration.DynamicOLSResults.params.html |  10 +-
 ...integration.DynamicOLSResults.pvalues.html |  10 +-
 ...cointegration.DynamicOLSResults.resid.html |  10 +-
 ...n.DynamicOLSResults.residual_variance.html |  10 +-
 ...ntegration.DynamicOLSResults.rsquared.html |  10 +-
 ...ration.DynamicOLSResults.rsquared_adj.html |  10 +-
 ...egration.DynamicOLSResults.std_errors.html |  10 +-
 ...integration.DynamicOLSResults.summary.html |  10 +-
 ...integration.DynamicOLSResults.tvalues.html |  10 +-
 ...gerTestResults.alternative_hypothesis.html |  10 +-
 ...angerTestResults.cointegrating_vector.html |  10 +-
 ...gleGrangerTestResults.critical_values.html |  10 +-
 ...GrangerTestResults.distribution_order.html |  10 +-
 ...egration.EngleGrangerTestResults.lags.html |  10 +-
 ...tion.EngleGrangerTestResults.max_lags.html |  10 +-
 ...egration.EngleGrangerTestResults.name.html |  10 +-
 ...gleGrangerTestResults.null_hypothesis.html |  10 +-
 ...egration.EngleGrangerTestResults.plot.html |  10 +-
 ...ration.EngleGrangerTestResults.pvalue.html |  10 +-
 ...gration.EngleGrangerTestResults.resid.html |  10 +-
 ...tegration.EngleGrangerTestResults.rho.html |  10 +-
 ...egration.EngleGrangerTestResults.stat.html |  10 +-
 ...ation.EngleGrangerTestResults.summary.html |  10 +-
 ...gration.EngleGrangerTestResults.trend.html |  10 +-
 ...ot.cointegration.FullyModifiedOLS.fit.html |  10 +-
 ...risTestResults.alternative_hypothesis.html |  10 +-
 ...PhillipsOuliarisTestResults.bandwidth.html |  10 +-
 ...iarisTestResults.cointegrating_vector.html |  10 +-
 ...psOuliarisTestResults.critical_values.html |  10 +-
 ...uliarisTestResults.distribution_order.html |  10 +-
 ...on.PhillipsOuliarisTestResults.kernel.html |  10 +-
 ...tion.PhillipsOuliarisTestResults.name.html |  10 +-
 ...psOuliarisTestResults.null_hypothesis.html |  10 +-
 ...tion.PhillipsOuliarisTestResults.plot.html |  10 +-
 ...on.PhillipsOuliarisTestResults.pvalue.html |  10 +-
 ...ion.PhillipsOuliarisTestResults.resid.html |  10 +-
 ...tion.PhillipsOuliarisTestResults.stat.html |  10 +-
 ...n.PhillipsOuliarisTestResults.summary.html |  10 +-
 ...ion.PhillipsOuliarisTestResults.trend.html |  10 +-
 devel/unitroot/introduction.html              |  10 +-
 devel/unitroot/tests.html                     |  10 +-
 devel/unitroot/unitroot.html                  |  10 +-
 .../unitroot_cointegration_examples.html      |  10 +-
 .../unitroot_cointegration_examples.ipynb     | 142 ++--
 devel/unitroot/unitroot_examples.html         |  12 +-
 devel/unitroot/unitroot_examples.ipynb        | 170 ++---
 devel/univariate/background.html              |  10 +-
 devel/univariate/distribution.html            |  10 +-
 devel/univariate/forecasting.html             |  10 +-
 .../generated/arch.univariate.APARCH.html     |  10 +-
 .../generated/arch.univariate.ARCH.html       |  10 +-
 .../generated/arch.univariate.ARCHInMean.html |  10 +-
 .../generated/arch.univariate.ARX.html        |  10 +-
 .../arch.univariate.ConstantMean.html         |  10 +-
 .../arch.univariate.ConstantVariance.html     |  10 +-
 .../generated/arch.univariate.EGARCH.html     |  10 +-
 .../arch.univariate.EWMAVariance.html         |  10 +-
 .../generated/arch.univariate.FIGARCH.html    |  10 +-
 .../arch.univariate.FixedVariance.html        |  10 +-
 .../generated/arch.univariate.GARCH.html      |  10 +-
 .../arch.univariate.GeneralizedError.html     |  10 +-
 .../generated/arch.univariate.HARCH.html      |  10 +-
 .../generated/arch.univariate.HARX.html       |  10 +-
 .../generated/arch.univariate.LS.html         |  10 +-
 .../arch.univariate.MIDASHyperbolic.html      |  10 +-
 .../generated/arch.univariate.Normal.html     |  10 +-
 .../arch.univariate.RiskMetrics2006.html      |  10 +-
 .../arch.univariate.SkewStudent.html          |  10 +-
 .../generated/arch.univariate.StudentsT.html  |  10 +-
 .../generated/arch.univariate.ZeroMean.html   |  10 +-
 .../arch.univariate.base.ARCHModel.html       |  10 +-
 ....univariate.base.ARCHModelFixedResult.html |  10 +-
 ...rch.univariate.base.ARCHModelForecast.html |  10 +-
 ...iate.base.ARCHModelForecastSimulation.html |  10 +-
 .../arch.univariate.base.ARCHModelResult.html |  10 +-
 ....univariate.distribution.Distribution.html |  10 +-
 ...ivariate.recursions.VolatilityUpdater.html |  10 +-
 ...nivariate.volatility.VarianceForecast.html |  10 +-
 ...ivariate.volatility.VolatilityProcess.html |  10 +-
 .../arch.univariate.APARCH.backcast.html      |  10 +-
 ....univariate.APARCH.backcast_transform.html |  10 +-
 .../arch.univariate.APARCH.bounds.html        |  10 +-
 .../arch.univariate.APARCH.common_asym.html   |  10 +-
 ...ch.univariate.APARCH.compute_variance.html |  10 +-
 .../arch.univariate.APARCH.constraints.html   |  10 +-
 .../arch.univariate.APARCH.delta.html         |  10 +-
 .../arch.univariate.APARCH.forecast.html      |  10 +-
 .../arch.univariate.APARCH.name.html          |  10 +-
 .../arch.univariate.APARCH.num_params.html    |  10 +-
 ...rch.univariate.APARCH.parameter_names.html |  10 +-
 .../arch.univariate.APARCH.simulate.html      |  10 +-
 .../arch.univariate.APARCH.start.html         |  10 +-
 ...rch.univariate.APARCH.starting_values.html |  10 +-
 .../arch.univariate.APARCH.stop.html          |  10 +-
 .../arch.univariate.APARCH.update.html        |  10 +-
 .../arch.univariate.APARCH.updateable.html    |  10 +-
 ...rch.univariate.APARCH.variance_bounds.html |  10 +-
 ....univariate.APARCH.volatility_updater.html |  10 +-
 .../arch.univariate.ARCH.backcast.html        |  10 +-
 ...ch.univariate.ARCH.backcast_transform.html |  10 +-
 .../arch.univariate.ARCH.bounds.html          |  10 +-
 ...arch.univariate.ARCH.compute_variance.html |  10 +-
 .../arch.univariate.ARCH.constraints.html     |  10 +-
 .../arch.univariate.ARCH.forecast.html        |  10 +-
 .../generated/arch.univariate.ARCH.name.html  |  10 +-
 .../arch.univariate.ARCH.num_params.html      |  10 +-
 .../arch.univariate.ARCH.parameter_names.html |  10 +-
 .../arch.univariate.ARCH.simulate.html        |  10 +-
 .../generated/arch.univariate.ARCH.start.html |  10 +-
 .../arch.univariate.ARCH.starting_values.html |  10 +-
 .../generated/arch.univariate.ARCH.stop.html  |  10 +-
 .../arch.univariate.ARCH.update.html          |  10 +-
 .../arch.univariate.ARCH.updateable.html      |  10 +-
 .../arch.univariate.ARCH.variance_bounds.html |  10 +-
 ...ch.univariate.ARCH.volatility_updater.html |  10 +-
 .../arch.univariate.ARCHInMean.bounds.html    |  10 +-
 ...ivariate.ARCHInMean.compute_param_cov.html |  10 +-
 ...rch.univariate.ARCHInMean.constraints.html |  10 +-
 ...ch.univariate.ARCHInMean.distribution.html |  10 +-
 .../arch.univariate.ARCHInMean.fit.html       |  10 +-
 .../arch.univariate.ARCHInMean.fix.html       |  10 +-
 .../arch.univariate.ARCHInMean.forecast.html  |  10 +-
 .../arch.univariate.ARCHInMean.form.html      |  10 +-
 .../arch.univariate.ARCHInMean.name.html      |  10 +-
 ...arch.univariate.ARCHInMean.num_params.html |  10 +-
 ...univariate.ARCHInMean.parameter_names.html |  10 +-
 .../arch.univariate.ARCHInMean.resids.html    |  10 +-
 .../arch.univariate.ARCHInMean.simulate.html  |  10 +-
 ...univariate.ARCHInMean.starting_values.html |  10 +-
 ...arch.univariate.ARCHInMean.volatility.html |  10 +-
 .../arch.univariate.ARCHInMean.x.html         |  10 +-
 .../arch.univariate.ARCHInMean.y.html         |  10 +-
 .../generated/arch.univariate.ARX.bounds.html |  10 +-
 ...arch.univariate.ARX.compute_param_cov.html |  10 +-
 .../arch.univariate.ARX.constraints.html      |  10 +-
 .../arch.univariate.ARX.distribution.html     |  10 +-
 .../generated/arch.univariate.ARX.fit.html    |  10 +-
 .../generated/arch.univariate.ARX.fix.html    |  10 +-
 .../arch.univariate.ARX.forecast.html         |  10 +-
 .../generated/arch.univariate.ARX.name.html   |  10 +-
 .../arch.univariate.ARX.num_params.html       |  10 +-
 .../arch.univariate.ARX.parameter_names.html  |  10 +-
 .../generated/arch.univariate.ARX.resids.html |  10 +-
 .../arch.univariate.ARX.simulate.html         |  10 +-
 .../arch.univariate.ARX.starting_values.html  |  10 +-
 .../arch.univariate.ARX.volatility.html       |  10 +-
 .../generated/arch.univariate.ARX.x.html      |  10 +-
 .../generated/arch.univariate.ARX.y.html      |  10 +-
 .../arch.univariate.ConstantMean.bounds.html  |  10 +-
 ...ariate.ConstantMean.compute_param_cov.html |  10 +-
 ...h.univariate.ConstantMean.constraints.html |  10 +-
 ....univariate.ConstantMean.distribution.html |  10 +-
 .../arch.univariate.ConstantMean.fit.html     |  10 +-
 .../arch.univariate.ConstantMean.fix.html     |  10 +-
 ...arch.univariate.ConstantMean.forecast.html |  10 +-
 .../arch.univariate.ConstantMean.name.html    |  10 +-
 ...ch.univariate.ConstantMean.num_params.html |  10 +-
 ...ivariate.ConstantMean.parameter_names.html |  10 +-
 .../arch.univariate.ConstantMean.resids.html  |  10 +-
 ...arch.univariate.ConstantMean.simulate.html |  10 +-
 ...ivariate.ConstantMean.starting_values.html |  10 +-
 ...ch.univariate.ConstantMean.volatility.html |  10 +-
 .../arch.univariate.ConstantMean.x.html       |  10 +-
 .../arch.univariate.ConstantMean.y.html       |  10 +-
 ....univariate.ConstantVariance.backcast.html |  10 +-
 ...e.ConstantVariance.backcast_transform.html |  10 +-
 ...ch.univariate.ConstantVariance.bounds.html |  10 +-
 ...ate.ConstantVariance.compute_variance.html |  10 +-
 ...ivariate.ConstantVariance.constraints.html |  10 +-
 ....univariate.ConstantVariance.forecast.html |  10 +-
 ...arch.univariate.ConstantVariance.name.html |  10 +-
 ...nivariate.ConstantVariance.num_params.html |  10 +-
 ...iate.ConstantVariance.parameter_names.html |  10 +-
 ....univariate.ConstantVariance.simulate.html |  10 +-
 ...rch.univariate.ConstantVariance.start.html |  10 +-
 ...iate.ConstantVariance.starting_values.html |  10 +-
 ...arch.univariate.ConstantVariance.stop.html |  10 +-
 ...ch.univariate.ConstantVariance.update.html |  10 +-
 ...nivariate.ConstantVariance.updateable.html |  10 +-
 ...iate.ConstantVariance.variance_bounds.html |  10 +-
 ...e.ConstantVariance.volatility_updater.html |  10 +-
 .../arch.univariate.EGARCH.backcast.html      |  10 +-
 ....univariate.EGARCH.backcast_transform.html |  10 +-
 .../arch.univariate.EGARCH.bounds.html        |  10 +-
 ...ch.univariate.EGARCH.compute_variance.html |  10 +-
 .../arch.univariate.EGARCH.constraints.html   |  10 +-
 .../arch.univariate.EGARCH.forecast.html      |  10 +-
 .../arch.univariate.EGARCH.name.html          |  10 +-
 .../arch.univariate.EGARCH.num_params.html    |  10 +-
 ...rch.univariate.EGARCH.parameter_names.html |  10 +-
 .../arch.univariate.EGARCH.simulate.html      |  10 +-
 .../arch.univariate.EGARCH.start.html         |  10 +-
 ...rch.univariate.EGARCH.starting_values.html |  10 +-
 .../arch.univariate.EGARCH.stop.html          |  10 +-
 .../arch.univariate.EGARCH.update.html        |  10 +-
 .../arch.univariate.EGARCH.updateable.html    |  10 +-
 ...rch.univariate.EGARCH.variance_bounds.html |  10 +-
 ....univariate.EGARCH.volatility_updater.html |  10 +-
 ...arch.univariate.EWMAVariance.backcast.html |  10 +-
 ...riate.EWMAVariance.backcast_transform.html |  10 +-
 .../arch.univariate.EWMAVariance.bounds.html  |  10 +-
 ...variate.EWMAVariance.compute_variance.html |  10 +-
 ...h.univariate.EWMAVariance.constraints.html |  10 +-
 ...arch.univariate.EWMAVariance.forecast.html |  10 +-
 .../arch.univariate.EWMAVariance.name.html    |  10 +-
 ...ch.univariate.EWMAVariance.num_params.html |  10 +-
 ...ivariate.EWMAVariance.parameter_names.html |  10 +-
 ...arch.univariate.EWMAVariance.simulate.html |  10 +-
 .../arch.univariate.EWMAVariance.start.html   |  10 +-
 ...ivariate.EWMAVariance.starting_values.html |  10 +-
 .../arch.univariate.EWMAVariance.stop.html    |  10 +-
 .../arch.univariate.EWMAVariance.update.html  |  10 +-
 ...ch.univariate.EWMAVariance.updateable.html |  10 +-
 ...ivariate.EWMAVariance.variance_bounds.html |  10 +-
 ...riate.EWMAVariance.volatility_updater.html |  10 +-
 .../arch.univariate.FIGARCH.backcast.html     |  10 +-
 ...univariate.FIGARCH.backcast_transform.html |  10 +-
 .../arch.univariate.FIGARCH.bounds.html       |  10 +-
 ...h.univariate.FIGARCH.compute_variance.html |  10 +-
 .../arch.univariate.FIGARCH.constraints.html  |  10 +-
 .../arch.univariate.FIGARCH.forecast.html     |  10 +-
 .../arch.univariate.FIGARCH.name.html         |  10 +-
 .../arch.univariate.FIGARCH.num_params.html   |  10 +-
 ...ch.univariate.FIGARCH.parameter_names.html |  10 +-
 .../arch.univariate.FIGARCH.simulate.html     |  10 +-
 .../arch.univariate.FIGARCH.start.html        |  10 +-
 ...ch.univariate.FIGARCH.starting_values.html |  10 +-
 .../arch.univariate.FIGARCH.stop.html         |  10 +-
 .../arch.univariate.FIGARCH.truncation.html   |  10 +-
 .../arch.univariate.FIGARCH.update.html       |  10 +-
 .../arch.univariate.FIGARCH.updateable.html   |  10 +-
 ...ch.univariate.FIGARCH.variance_bounds.html |  10 +-
 ...univariate.FIGARCH.volatility_updater.html |  10 +-
 ...rch.univariate.FixedVariance.backcast.html |  10 +-
 ...iate.FixedVariance.backcast_transform.html |  10 +-
 .../arch.univariate.FixedVariance.bounds.html |  10 +-
 ...ariate.FixedVariance.compute_variance.html |  10 +-
 ....univariate.FixedVariance.constraints.html |  10 +-
 ...rch.univariate.FixedVariance.forecast.html |  10 +-
 .../arch.univariate.FixedVariance.name.html   |  10 +-
 ...h.univariate.FixedVariance.num_params.html |  10 +-
 ...variate.FixedVariance.parameter_names.html |  10 +-
 ...rch.univariate.FixedVariance.simulate.html |  10 +-
 .../arch.univariate.FixedVariance.start.html  |  10 +-
 ...variate.FixedVariance.starting_values.html |  10 +-
 .../arch.univariate.FixedVariance.stop.html   |  10 +-
 .../arch.univariate.FixedVariance.update.html |  10 +-
 ...h.univariate.FixedVariance.updateable.html |  10 +-
 ...variate.FixedVariance.variance_bounds.html |  10 +-
 ...iate.FixedVariance.volatility_updater.html |  10 +-
 .../arch.univariate.GARCH.backcast.html       |  10 +-
 ...h.univariate.GARCH.backcast_transform.html |  10 +-
 .../arch.univariate.GARCH.bounds.html         |  10 +-
 ...rch.univariate.GARCH.compute_variance.html |  10 +-
 .../arch.univariate.GARCH.constraints.html    |  10 +-
 .../arch.univariate.GARCH.forecast.html       |  10 +-
 .../generated/arch.univariate.GARCH.name.html |  10 +-
 .../arch.univariate.GARCH.num_params.html     |  10 +-
 ...arch.univariate.GARCH.parameter_names.html |  10 +-
 .../arch.univariate.GARCH.simulate.html       |  10 +-
 .../arch.univariate.GARCH.start.html          |  10 +-
 ...arch.univariate.GARCH.starting_values.html |  10 +-
 .../generated/arch.univariate.GARCH.stop.html |  10 +-
 .../arch.univariate.GARCH.update.html         |  10 +-
 .../arch.univariate.GARCH.updateable.html     |  10 +-
 ...arch.univariate.GARCH.variance_bounds.html |  10 +-
 ...h.univariate.GARCH.volatility_updater.html |  10 +-
 ...ch.univariate.GeneralizedError.bounds.html |  10 +-
 .../arch.univariate.GeneralizedError.cdf.html |  10 +-
 ...ivariate.GeneralizedError.constraints.html |  10 +-
 ...univariate.GeneralizedError.generator.html |  10 +-
 ...ariate.GeneralizedError.loglikelihood.html |  10 +-
 ...ch.univariate.GeneralizedError.moment.html |  10 +-
 ...arch.univariate.GeneralizedError.name.html |  10 +-
 ...iate.GeneralizedError.parameter_names.html |  10 +-
 ...riate.GeneralizedError.partial_moment.html |  10 +-
 .../arch.univariate.GeneralizedError.ppf.html |  10 +-
 ...variate.GeneralizedError.random_state.html |  10 +-
 ....univariate.GeneralizedError.simulate.html |  10 +-
 ...iate.GeneralizedError.starting_values.html |  10 +-
 .../arch.univariate.HARCH.backcast.html       |  10 +-
 ...h.univariate.HARCH.backcast_transform.html |  10 +-
 .../arch.univariate.HARCH.bounds.html         |  10 +-
 ...rch.univariate.HARCH.compute_variance.html |  10 +-
 .../arch.univariate.HARCH.constraints.html    |  10 +-
 .../arch.univariate.HARCH.forecast.html       |  10 +-
 .../generated/arch.univariate.HARCH.name.html |  10 +-
 .../arch.univariate.HARCH.num_params.html     |  10 +-
 ...arch.univariate.HARCH.parameter_names.html |  10 +-
 .../arch.univariate.HARCH.simulate.html       |  10 +-
 .../arch.univariate.HARCH.start.html          |  10 +-
 ...arch.univariate.HARCH.starting_values.html |  10 +-
 .../generated/arch.univariate.HARCH.stop.html |  10 +-
 .../arch.univariate.HARCH.update.html         |  10 +-
 .../arch.univariate.HARCH.updateable.html     |  10 +-
 ...arch.univariate.HARCH.variance_bounds.html |  10 +-
 ...h.univariate.HARCH.volatility_updater.html |  10 +-
 .../arch.univariate.HARX.bounds.html          |  10 +-
 ...rch.univariate.HARX.compute_param_cov.html |  10 +-
 .../arch.univariate.HARX.constraints.html     |  10 +-
 .../arch.univariate.HARX.distribution.html    |  10 +-
 .../generated/arch.univariate.HARX.fit.html   |  10 +-
 .../generated/arch.univariate.HARX.fix.html   |  10 +-
 .../arch.univariate.HARX.forecast.html        |  10 +-
 .../generated/arch.univariate.HARX.name.html  |  10 +-
 .../arch.univariate.HARX.num_params.html      |  10 +-
 .../arch.univariate.HARX.parameter_names.html |  10 +-
 .../arch.univariate.HARX.resids.html          |  10 +-
 .../arch.univariate.HARX.simulate.html        |  10 +-
 .../arch.univariate.HARX.starting_values.html |  10 +-
 .../arch.univariate.HARX.volatility.html      |  10 +-
 .../generated/arch.univariate.HARX.x.html     |  10 +-
 .../generated/arch.univariate.HARX.y.html     |  10 +-
 .../generated/arch.univariate.LS.bounds.html  |  10 +-
 .../arch.univariate.LS.compute_param_cov.html |  10 +-
 .../arch.univariate.LS.constraints.html       |  10 +-
 .../arch.univariate.LS.distribution.html      |  10 +-
 .../generated/arch.univariate.LS.fit.html     |  10 +-
 .../generated/arch.univariate.LS.fix.html     |  10 +-
 .../arch.univariate.LS.forecast.html          |  10 +-
 .../generated/arch.univariate.LS.name.html    |  10 +-
 .../arch.univariate.LS.num_params.html        |  10 +-
 .../arch.univariate.LS.parameter_names.html   |  10 +-
 .../generated/arch.univariate.LS.resids.html  |  10 +-
 .../arch.univariate.LS.simulate.html          |  10 +-
 .../arch.univariate.LS.starting_values.html   |  10 +-
 .../arch.univariate.LS.volatility.html        |  10 +-
 .../generated/arch.univariate.LS.x.html       |  10 +-
 .../generated/arch.univariate.LS.y.html       |  10 +-
 ...h.univariate.MIDASHyperbolic.backcast.html |  10 +-
 ...te.MIDASHyperbolic.backcast_transform.html |  10 +-
 ...rch.univariate.MIDASHyperbolic.bounds.html |  10 +-
 ...iate.MIDASHyperbolic.compute_variance.html |  10 +-
 ...nivariate.MIDASHyperbolic.constraints.html |  10 +-
 ...h.univariate.MIDASHyperbolic.forecast.html |  10 +-
 .../arch.univariate.MIDASHyperbolic.name.html |  10 +-
 ...univariate.MIDASHyperbolic.num_params.html |  10 +-
 ...riate.MIDASHyperbolic.parameter_names.html |  10 +-
 ...h.univariate.MIDASHyperbolic.simulate.html |  10 +-
 ...arch.univariate.MIDASHyperbolic.start.html |  10 +-
 ...riate.MIDASHyperbolic.starting_values.html |  10 +-
 .../arch.univariate.MIDASHyperbolic.stop.html |  10 +-
 ...rch.univariate.MIDASHyperbolic.update.html |  10 +-
 ...univariate.MIDASHyperbolic.updateable.html |  10 +-
 ...riate.MIDASHyperbolic.variance_bounds.html |  10 +-
 ...te.MIDASHyperbolic.volatility_updater.html |  10 +-
 .../arch.univariate.Normal.bounds.html        |  10 +-
 .../generated/arch.univariate.Normal.cdf.html |  10 +-
 .../arch.univariate.Normal.constraints.html   |  10 +-
 .../arch.univariate.Normal.generator.html     |  10 +-
 .../arch.univariate.Normal.loglikelihood.html |  10 +-
 .../arch.univariate.Normal.moment.html        |  10 +-
 .../arch.univariate.Normal.name.html          |  10 +-
 ...rch.univariate.Normal.parameter_names.html |  10 +-
 ...arch.univariate.Normal.partial_moment.html |  10 +-
 .../generated/arch.univariate.Normal.ppf.html |  10 +-
 .../arch.univariate.Normal.random_state.html  |  10 +-
 .../arch.univariate.Normal.simulate.html      |  10 +-
 ...rch.univariate.Normal.starting_values.html |  10 +-
 ...h.univariate.RiskMetrics2006.backcast.html |  10 +-
 ...te.RiskMetrics2006.backcast_transform.html |  10 +-
 ...rch.univariate.RiskMetrics2006.bounds.html |  10 +-
 ...iate.RiskMetrics2006.compute_variance.html |  10 +-
 ...nivariate.RiskMetrics2006.constraints.html |  10 +-
 ...h.univariate.RiskMetrics2006.forecast.html |  10 +-
 .../arch.univariate.RiskMetrics2006.name.html |  10 +-
 ...univariate.RiskMetrics2006.num_params.html |  10 +-
 ...riate.RiskMetrics2006.parameter_names.html |  10 +-
 ...h.univariate.RiskMetrics2006.simulate.html |  10 +-
 ...arch.univariate.RiskMetrics2006.start.html |  10 +-
 ...riate.RiskMetrics2006.starting_values.html |  10 +-
 .../arch.univariate.RiskMetrics2006.stop.html |  10 +-
 ...rch.univariate.RiskMetrics2006.update.html |  10 +-
 ...univariate.RiskMetrics2006.updateable.html |  10 +-
 ...riate.RiskMetrics2006.variance_bounds.html |  10 +-
 ...te.RiskMetrics2006.volatility_updater.html |  10 +-
 .../arch.univariate.SkewStudent.bounds.html   |  10 +-
 .../arch.univariate.SkewStudent.cdf.html      |  10 +-
 ...ch.univariate.SkewStudent.constraints.html |  10 +-
 ...arch.univariate.SkewStudent.generator.html |  10 +-
 ....univariate.SkewStudent.loglikelihood.html |  10 +-
 .../arch.univariate.SkewStudent.moment.html   |  10 +-
 .../arch.univariate.SkewStudent.name.html     |  10 +-
 ...nivariate.SkewStudent.parameter_names.html |  10 +-
 ...univariate.SkewStudent.partial_moment.html |  10 +-
 .../arch.univariate.SkewStudent.ppf.html      |  10 +-
 ...h.univariate.SkewStudent.random_state.html |  10 +-
 .../arch.univariate.SkewStudent.simulate.html |  10 +-
 ...nivariate.SkewStudent.starting_values.html |  10 +-
 .../arch.univariate.StudentsT.bounds.html     |  10 +-
 .../arch.univariate.StudentsT.cdf.html        |  10 +-
 ...arch.univariate.StudentsT.constraints.html |  10 +-
 .../arch.univariate.StudentsT.generator.html  |  10 +-
 ...ch.univariate.StudentsT.loglikelihood.html |  10 +-
 .../arch.univariate.StudentsT.moment.html     |  10 +-
 .../arch.univariate.StudentsT.name.html       |  10 +-
 ....univariate.StudentsT.parameter_names.html |  10 +-
 ...h.univariate.StudentsT.partial_moment.html |  10 +-
 .../arch.univariate.StudentsT.ppf.html        |  10 +-
 ...rch.univariate.StudentsT.random_state.html |  10 +-
 .../arch.univariate.StudentsT.simulate.html   |  10 +-
 ....univariate.StudentsT.starting_values.html |  10 +-
 .../arch.univariate.ZeroMean.bounds.html      |  10 +-
 ...univariate.ZeroMean.compute_param_cov.html |  10 +-
 .../arch.univariate.ZeroMean.constraints.html |  10 +-
 ...arch.univariate.ZeroMean.distribution.html |  10 +-
 .../arch.univariate.ZeroMean.fit.html         |  10 +-
 .../arch.univariate.ZeroMean.fix.html         |  10 +-
 .../arch.univariate.ZeroMean.forecast.html    |  10 +-
 .../arch.univariate.ZeroMean.name.html        |  10 +-
 .../arch.univariate.ZeroMean.num_params.html  |  10 +-
 ...h.univariate.ZeroMean.parameter_names.html |  10 +-
 .../arch.univariate.ZeroMean.resids.html      |  10 +-
 .../arch.univariate.ZeroMean.simulate.html    |  10 +-
 ...h.univariate.ZeroMean.starting_values.html |  10 +-
 .../arch.univariate.ZeroMean.volatility.html  |  10 +-
 .../generated/arch.univariate.ZeroMean.x.html |  10 +-
 .../generated/arch.univariate.ZeroMean.y.html |  10 +-
 ...arch.univariate.base.ARCHModel.bounds.html |  10 +-
 ...iate.base.ARCHModel.compute_param_cov.html |  10 +-
 ...univariate.base.ARCHModel.constraints.html |  10 +-
 ...nivariate.base.ARCHModel.distribution.html |  10 +-
 .../arch.univariate.base.ARCHModel.fit.html   |  10 +-
 .../arch.univariate.base.ARCHModel.fix.html   |  10 +-
 ...ch.univariate.base.ARCHModel.forecast.html |  10 +-
 .../arch.univariate.base.ARCHModel.name.html  |  10 +-
 ....univariate.base.ARCHModel.num_params.html |  10 +-
 ...ariate.base.ARCHModel.parameter_names.html |  10 +-
 ...arch.univariate.base.ARCHModel.resids.html |  10 +-
 ...ch.univariate.base.ARCHModel.simulate.html |  10 +-
 ...ariate.base.ARCHModel.starting_values.html |  10 +-
 ....univariate.base.ARCHModel.volatility.html |  10 +-
 .../arch.univariate.base.ARCHModel.y.html     |  10 +-
 ...variate.base.ARCHModelFixedResult.aic.html |  10 +-
 ...ase.ARCHModelFixedResult.arch_lm_test.html |  10 +-
 ...variate.base.ARCHModelFixedResult.bic.html |  10 +-
 ...delFixedResult.conditional_volatility.html |  10 +-
 ...te.base.ARCHModelFixedResult.forecast.html |  10 +-
 ...se.ARCHModelFixedResult.hedgehog_plot.html |  10 +-
 ...se.ARCHModelFixedResult.loglikelihood.html |  10 +-
 ...riate.base.ARCHModelFixedResult.model.html |  10 +-
 ...ariate.base.ARCHModelFixedResult.nobs.html |  10 +-
 ....base.ARCHModelFixedResult.num_params.html |  10 +-
 ...iate.base.ARCHModelFixedResult.params.html |  10 +-
 ...ariate.base.ARCHModelFixedResult.plot.html |  10 +-
 ...riate.base.ARCHModelFixedResult.resid.html |  10 +-
 ...e.base.ARCHModelFixedResult.std_resid.html |  10 +-
 ...ate.base.ARCHModelFixedResult.summary.html |  10 +-
 ...nivariate.base.ARCHModelForecast.mean.html |  10 +-
 ...e.ARCHModelForecast.residual_variance.html |  10 +-
 ...te.base.ARCHModelForecast.simulations.html |  10 +-
 ...riate.base.ARCHModelForecast.variance.html |  10 +-
 ...ase.ARCHModelForecastSimulation.index.html |  10 +-
 ...ForecastSimulation.residual_variances.html |  10 +-
 ...ARCHModelForecastSimulation.residuals.html |  10 +-
 ...se.ARCHModelForecastSimulation.values.html |  10 +-
 ...ARCHModelForecastSimulation.variances.html |  10 +-
 ...h.univariate.base.ARCHModelResult.aic.html |  10 +-
 ...ate.base.ARCHModelResult.arch_lm_test.html |  10 +-
 ...h.univariate.base.ARCHModelResult.bic.html |  10 +-
 ...RCHModelResult.conditional_volatility.html |  10 +-
 ...variate.base.ARCHModelResult.conf_int.html |  10 +-
 ...base.ARCHModelResult.convergence_flag.html |  10 +-
 ...ariate.base.ARCHModelResult.fit_start.html |  10 +-
 ...variate.base.ARCHModelResult.fit_stop.html |  10 +-
 ...variate.base.ARCHModelResult.forecast.html |  10 +-
 ...te.base.ARCHModelResult.hedgehog_plot.html |  10 +-
 ...te.base.ARCHModelResult.loglikelihood.html |  10 +-
 ...univariate.base.ARCHModelResult.model.html |  10 +-
 ....univariate.base.ARCHModelResult.nobs.html |  10 +-
 ...riate.base.ARCHModelResult.num_params.html |  10 +-
 ...e.ARCHModelResult.optimization_result.html |  10 +-
 ...ariate.base.ARCHModelResult.param_cov.html |  10 +-
 ...nivariate.base.ARCHModelResult.params.html |  10 +-
 ....univariate.base.ARCHModelResult.plot.html |  10 +-
 ...ivariate.base.ARCHModelResult.pvalues.html |  10 +-
 ...univariate.base.ARCHModelResult.resid.html |  10 +-
 ...variate.base.ARCHModelResult.rsquared.html |  10 +-
 ...ate.base.ARCHModelResult.rsquared_adj.html |  10 +-
 ...univariate.base.ARCHModelResult.scale.html |  10 +-
 ...ivariate.base.ARCHModelResult.std_err.html |  10 +-
 ...ariate.base.ARCHModelResult.std_resid.html |  10 +-
 ...ivariate.base.ARCHModelResult.summary.html |  10 +-
 ...ivariate.base.ARCHModelResult.tvalues.html |  10 +-
 ...iate.distribution.Distribution.bounds.html |  10 +-
 ...variate.distribution.Distribution.cdf.html |  10 +-
 ...distribution.Distribution.constraints.html |  10 +-
 ...e.distribution.Distribution.generator.html |  10 +-
 ...stribution.Distribution.loglikelihood.html |  10 +-
 ...iate.distribution.Distribution.moment.html |  10 +-
 ...ariate.distribution.Distribution.name.html |  10 +-
 ...ribution.Distribution.parameter_names.html |  10 +-
 ...tribution.Distribution.partial_moment.html |  10 +-
 ...variate.distribution.Distribution.ppf.html |  10 +-
 ...istribution.Distribution.random_state.html |  10 +-
 ...te.distribution.Distribution.simulate.html |  10 +-
 ...ribution.Distribution.starting_values.html |  10 +-
 ...s.VolatilityUpdater.initialize_update.html |  10 +-
 ...ility.VarianceForecast.forecast_paths.html |  10 +-
 ...volatility.VarianceForecast.forecasts.html |  10 +-
 ...te.volatility.VarianceForecast.shocks.html |  10 +-
 ...volatility.VolatilityProcess.backcast.html |  10 +-
 ....VolatilityProcess.backcast_transform.html |  10 +-
 ...e.volatility.VolatilityProcess.bounds.html |  10 +-
 ...ty.VolatilityProcess.compute_variance.html |  10 +-
 ...atility.VolatilityProcess.constraints.html |  10 +-
 ...volatility.VolatilityProcess.forecast.html |  10 +-
 ...ate.volatility.VolatilityProcess.name.html |  10 +-
 ...latility.VolatilityProcess.num_params.html |  10 +-
 ...ity.VolatilityProcess.parameter_names.html |  10 +-
 ...volatility.VolatilityProcess.simulate.html |  10 +-
 ...te.volatility.VolatilityProcess.start.html |  10 +-
 ...ity.VolatilityProcess.starting_values.html |  10 +-
 ...ate.volatility.VolatilityProcess.stop.html |  10 +-
 ...e.volatility.VolatilityProcess.update.html |  10 +-
 ...latility.VolatilityProcess.updateable.html |  10 +-
 ...ity.VolatilityProcess.variance_bounds.html |  10 +-
 ....VolatilityProcess.volatility_updater.html |  10 +-
 devel/univariate/introduction.html            |  10 +-
 devel/univariate/mean.html                    |  10 +-
 devel/univariate/results.html                 |  10 +-
 devel/univariate/univariate.html              |  10 +-
 ..._forecasting_with_exogenous_variables.html | 383 +++++------
 ...forecasting_with_exogenous_variables.ipynb | 613 +++++++++---------
 .../univariate_using_fixed_variance.html      |  20 +-
 .../univariate_using_fixed_variance.ipynb     |  88 +--
 .../univariate_volatility_forecasting.html    |  10 +-
 .../univariate_volatility_forecasting.ipynb   | 165 ++---
 .../univariate_volatility_modeling.html       |  56 +-
 .../univariate_volatility_modeling.ipynb      | 228 +++----
 .../univariate_volatility_scenarios.html      |  14 +-
 .../univariate_volatility_scenarios.ipynb     | 100 +--
 devel/univariate/utility.html                 |  10 +-
 devel/univariate/volatility.html              |  10 +-
 960 files changed, 5913 insertions(+), 5902 deletions(-)

diff --git a/devel/_images/multiple-comparison_multiple-comparison_examples_17_0.png b/devel/_images/multiple-comparison_multiple-comparison_examples_17_0.png
index 28e5d3af8a61c6272768f9341595c3c0bbad61f0..203dcb0082ac2e3658daf0d49ce00d42dfed992d 100644
GIT binary patch
literal 47386
zcmbrmby!s0_Xj$FfJjMq2nr(7(k0Ro64Kq$-6<fTv<L%IDhMK7(jh~qba!{>5O?#c
z_`SdT=bh)7M@7z=z4uvrt@VjLZx!SvG4GJxfj}Ub(o$kd5C}3p1cGpR8wLDi)5V_(
z{K4xauI{94YwF}`;9vrgGjOuAvURdDH>7qkad0%Zwc%jqWoCa&{mRM7&XJFW#rozK
zm~9=*SnkOqje?t?*-2?QLLk@%*KdSx!kOj}NO`cdn8-`Fq>V{ex534W=G|iw-ckOi
z#0geWn0IiE%YW8Lma67znw5@?X-ZO*cGRrD$ko*THt+^dY}B*$Jr28ctFBq(_IBjc
z`$5r98`{eChMn_PT$6i5_wFw&k<h_dF~n|OAAgc>Am02deO}?yLz=&@u8gOOH~;lf
z?)8_Dzpp2Wh~hYZU*=rM@BUsw(`R)DU;OVy>7)1$-~GKts+d6m|L--?ro|{#enYCd
zx}gTQs@}oO*hLHtoq}zHrOZBEKJ4@PCj71hdo7e^Gx#h`3f`M=Hb3=){COriK4t*c
zRa-!JKUQ@2(+kD)3k6?%bE*L%@iFW}$>^gr#zRRtcfx<4qWu4RIz#$IcV&I*BA-&<
z-C!qWOQ>ITm_78U>{OlK!z&&QYwG)2_4UsbOB{9BEA03-M>aW6yi)X`MS27TOD;rC
z?Y%~&V<BN-_XGskNB;hD$dlehMDfgid1q%5E-fB=`^f_J$9@bWCY*+a@jGx%fx>mR
z9ry(gx${dkD8j>+f0i!VC9?zhor@<XxMp{Ek~LvWEvg(kXwkgff4eE~;r(0BL}6Ju
zkDF}r6>p}#DGwd{(6oI#yYCK0YEfqJC8W(5JTctVo`C6XbQj*gPcPgl>#6;AW#D0d
zlK5DD4O#IkCb>UrX>O}2uy~plDP%bKUBzmo;B~H6+1#Or`$4ZH?{@XR=0Va^>iW(E
z4)^Vv<JPXO2Q)PP^O3?S<F<9lA3l7DiyM4Kn*4AxxmMy&aHM-%*nc`1P=2APt}f-}
zB`{g#npse=Q!sT>3*Ryt%F#I3o=#=VEBAl@9#`n<+>ww;v$1NsR>s5Q%s^1>Z-9x7
z$%keN2%qo3Iup4gzsf)z+8#j3hZ31}DnDoxo3hzV@Ccpnh;CJ`Ghd$e`0h<O_9&{T
zG>KvhI;r;%+=R)G!8x3FEmXeeICZNz8pV+E%^%|hqgI$L^e<963tK2V8s4CfmRb_k
zcpUQ09pm0yH-z^=P9u&<OF~TSR+?m_je|{Jx-{gmUhVlS=->l<f=wDm%g2!ddru2w
zZmz-l)<laR`2jZjsifos0usuGYuRE+$rFf!qa*hEX-2??iG6`1&1Q64dj7cn7~Cws
z=e5*M*8gsYadwOVQd`bb=TrQV{fFNs#1wax8qRfX68HFi?3@Hy@+<pV*^oted{Woa
zLVx=5<$zDmwqWgXW!!VwFrgV<XotA?8<Nnbz(LXvKNGr!R1Y;CANFu2j9sOQs1e?d
zXHD#CY>~tzBqZE$sH_g~*29TTlL1@JTR{)sTzG&=JR%IXPMyycne>s|A=|MnH_LZ%
zU_oI%Yjj(181C|m(cB_tUMEYK^6+V4ZY*@zkQgq!eCToe7UIbTijdyS3gHl<YIa4}
z+CF?e)slD<-t#GYAC8Im8WJ1p^6XjlPv*=H_JlQGYVr;EyAX1UwMd%HfU_@B@XsJI
zcuo01X<C@?Y@EWY_gc%Am6sj~uGF*%QJL#ft?IIP)10x|%`7&GMSjiM$b4;=oF%+v
z-SL_H@F^Q#W$m}h%F2tBX-}_hXC@P3@|~FBUg0e3tn%`ZVO`Gzla4qA6%}bOFT@r~
z{uI57HNN*TF=Tn3XR9r4+cjmUbyuDNA^|~9$gk$9d|UjHr|sJrG99PAg*W>^Ts*g_
zIYh~;J>vuK%Ak3y;N-IDOO|OLeyC2>ox;&)#Ow>iKBpa)By5JpX=66Er+h<sI$aYL
zp>7w4Y9~vHETc75@r?P^A1(7LYBw(x#$E?_3wHFT^#uH$xX?G2cO_J7k$t1?=afF*
zv?U9Rzlk4jIN%SxQ2DW}yzrPt{{-93TUP3^H;u9s+O~9Mjla*E?ACA0G=s~uoyJX*
zS61Y-KH+ua3Ntem%4(~Tl7b3hAt9f%%53oQ@n??Vi8*QIuA7ZDmJF0~K?XAxsA)$z
z2uP`Q<`f3192s2kQK?X9M>w~xjEc$wJbHN=+BBBYQT~&S;z*5>R|q}ASH9^PL%u>1
zk(3>t+cjNlgN$T|O&}?Zm0J3pLG1M`hjJ{+ZSy~Vw6LjM9p0Eo=qfOv<ylVJFBso^
ztbIaJHsv9REqLH6&tvdBhVSZpdAise&K1FLgQ%$3d$2ZGHF)*-&%VE3{%C^WF{4Ij
z-}|PV$668n+dOk-K^hG!cnQx^TL%QGl%?LvesvYQW531M;OiD!5Nm5N#nHukmo(V%
zfZ!zt{K4zi1yO;Tb+q;m%SMrcaXmutu)%CK4x5Q`iDkma>X2UxZdx1|0hZGmEoVCL
zRH|vpuoVJW2Q=)}p~9}-mB)wg-=Bl5@*>Im$Q`pq_}q>#Quxx9(sRRB;BWx_kTZ-p
zeALSHa4lBbWi%FIHU1-ZY>c!yj5kgtJ1zza9l!fDPq*g%uU`s5SQJA$6Z9!3^!%=-
z`@zEJ2^>8FnX_&tCdk9uj>uOhEwtpW6CkULk_~F8s<yA^*U8DsT4n#x`?D7QEvy(n
zhOJD@+YIAAJT{a$%#c{ddxl4Hm;W|LSBGdP9l9W`#}*!C#(Vsa0}o%YRXi$O?4o}H
zH@6zq(;wsT?<Io1b!^PH$E=1tYtYJ%PL@qXc}GA%@KRM3mx}7evuDp>yP?dLA=gWk
znd0$IP0yPku?wZ%b=tdSZ?U7Tz5R>pcAD^64xUwWzhP5TQx2He!GUZy-};2aayRd?
zm(a<K4(L~YZcR2FtVGK?IX$_6V;fIamY#SC<)~W1zBO9r*Q9`jDfT$Lqomw#SEXY$
zR`PllCW(uSi}+MUg<yZlyDOe;p7hOI$nGv0SW*Ik(}g<q3I|>gh!#$lVAH6@|LI%$
z(0IJ%RiXLD=4~`_agQ@5bcR;W>qkVwwuPe6Ch7ZFOd+QII5v+hiPhVE8{^=ZKa$)7
z@$>7A&!6xQ^n22DN7psSaA8Iq)KvNrqP{CO?E)3=%sdC|6KkFyUZ)O_<}ec28zSA?
z|CPI=QL~EErNoNGI4#l?HlK4h=IWhird=PK+?SJE7TRJMn3znulXx4Ons%3kuTDeA
zhLq@H-a=VOdWA9sv^piN+xL$)g%MdD7FOtbxDva<h}qsvOpyPu9)BK5c_`{73AR(D
zu#IU)oE*7hryVGa(jFctu%K{i-U|9`wfwmxM`rztGiSFNU5Rkg{+-UQMDDp`_^z8k
z^<KM-+#18fR#a+k?o8=VJZ?L`RIRK2^eW^!ly!-&uC-0${8NpKuAJo9#ep1j=Hz&l
zFBZye@T4$g`1ZK>D{haLe)yGSTd>&Kq?9;);xtDsU`{`~=4uK%3+WSJ!opX})oj`r
zEheMTs`20i<FPrps(C&4Q{ZGK0E3v-?|8~Hl6%T6ASC3rywIt!P2GiylCrXvrfN28
zf^1;0I+nKqS@!he=}H*1WPB46E)liG$W~a3#7}+{WCTj;>}J`tG1x{JlmZ`|*N5!Z
zvigsc$U5FX2=z-HQl4<VXdD|mV^|bEFNmP>QFpDc)Mhq|F+xLo+hqg&+m%rT85E=&
z<Mdejya%NN@*d{7Me@c?fEHK6pg53njsexoVOT$F>TRhL(vJ!Ek-fT>1vrBq>*LRE
z9#oO^7x%%8aYI%e#kPlIOL-K|$EPowr!SAnOm#dvn981zCX}-jk9NkY>9&FQXdiAm
zfw+VO;$eUPapspV<bEL`twBb#5@8L7g$1BYG>7wJRZULaC5<5E4B~YZy2tN{YB`)o
zBOs7;Pc*{3+;!WLxnhB6!fW4F>!qcZl@#rt=FB>~KBdPoF~wM86&Hdl8gtS$qZL24
zpB{IWx9w__)!n2NThn7nKlI(Iv%4<?DtS~N<AR%VfVX?l<{uR@^hyaz1e%rfi<Mzp
zYRLLfZZm6`1jQ&T#!zndbWMft6#`}p_$U${JJ##P1jSIFJ%JRliOpz@yZ<`DCvw{w
z4t!%%&lUDgz@!wo71P$(9KJqYZT)9_xB~L20SWw5`a|7iyC~J_a;nUo<sbA8;16bp
zOi?@~{0gWpMPF@cKUU#q8(uJK;F(!`y<>AS$FX~q5C~S;OIlO}>4Ro6ViPknFK<F`
zT1ydFE+O~^Z8y(+QjjB+_rX10UVah|Q*GGUThDMx!8o}@uANKxc3-~URZy2wrR%mx
zst`jpd`s3#NH1-*TS54Z$5=^BJpZxfl*c+IbIrj!x+~H``+1bJqfJS5b@lNlntzh$
zSeOBEC(FkUbgh)nohrf>J0mvp73Mp((r+y;*<I-*8Q7*Lf|#!05-mvg6i?>ibCF&3
zRM3j$*w?~bNVHEfRK{uGnNJnV_q(eqcAG6v;nP$Gy<d>iGtG(|m$3+$&r{0F-F%L#
zsuCwSJPy<^;nP>3*J#ViOqp7l_@-!dx)3vpd3E7f2cMi=SX|sY-+!^c2z4apb0P-C
z@56@;u>ZU8@fUV`CG{TuMNzBzE<;;03E?jaethxC4^Nq`DYtL6CZ86}7Vl3K-6OiY
zf0!Ge{FQjfZexC{9x6bpr%fl}_FjSlB>_?V9w%q=6}*ny{czB?*lHA)kVRKYTU($%
zGqr6{O;6Inp@;4mgGvZDd$7_Be-2bdP}gDfshxBJ0{$WaDBKm?baZh<dS0>ELT-^2
zj&)0*Fj3#V9TgQNR_Ak3vG(0EBs|<Qd+87SlVaREnZ)P2bNcwo=n@J?K!8PdS<M&K
zsyWy%Ee8HDE{^q!3|WlCD_kRyB|gDLQF2^EKfyyGKhx#4kPR{*cbjuZ1r@2|wdTU1
z$3qqt8n#0Ed-r~%X{n<RZ10iZb|JwPqgb>oE#^p|W?(q`G_5AKu=2mykaz4nC>3|v
z=FW!u!uUQz!LqV`Pa4=!HfC(iLhGdRYiw_(F>2o|gk&Inz-rbm3ysgWp-X?o3+cWG
zRpwqrC<rPuRo2uoTZ{A@cX&wp`35D2zpP}8kGVqA`pyk*X$DP$*w%a2uhZs68%rF|
z6J6vPYM0Gxp8NbrvJJUhDvO^~x%KSJx5P8oiHjbg_jFQZN;f!-2C|XUwG@!Ny?2<$
zvWp@R-u)(CbcLWdSSXqyT`c1lJ$tN>r%?0woK}g1AyQp%>jPg}!^t{?9TzhBE`}bQ
zkd9a3OHyS2fM4GmlAxdMMJAnNr&x>~aopro`22x*p2@NnFZmdvvz*YkBbtoOOOH9#
zmT~t7!vjC$Al0+YX>Q<M-e%Hp+<oX_se-Uy2Hnpu4!(;=h`Zt7|NMpokRn>xtvdA>
zhE~_@>o}~tAnG^Es_vm_N7*xo&PSL}eG`S%Td_1-O=CW>#SxKd;`%~36*;ObL;WOf
z%sg_wP2ljhX8#Ywpr6??``=tnAAWaXRKRdS_zOiH4qlcsp70!t3U$My9=#xd%*Nf$
z$V_T;UnT0}_%iIX%>f#jmz#}B$vRhskH}<HxQ4zb$9qM<zBeTb{P20_=(G*9?p7>J
z>y$6;kaP=4sFlX~$xOfUkC1ReSR5R8HyXU~T5WF<h4>je@({f-wR3qzsyHaGe%vhN
zN*qt|0Q2YPQ5E-kGcr2#*R5N>CK!6@(DM+MXNcii1tnL#KG}QO2*kbogxO8x3l{z_
z{w)uES&lKAuimcbciBUcIaX*QqooCJ+g5#hWS38bFguB_w&?{U*L>zxgfv2EZf-kv
zrOK%aBy1IrY~tA%+CN4m`2)+$d~7buuFa7w>rd)PD8C^+s{kLRvMU~Cy<-$S{1?x;
zz4vaD$y}rys@8(y_v(w=#3+_`)+8TBNWVq5VcQJ6;cBAgzl|t1!YsFqlm{gs%(;1s
zXCig?Sl1-5Y@1+t=F^9GsK+69TzEJA|L2k=_}uBa<we@Ssl{6^SpjvWhJ_J>m*M3?
zBVV0)G=&Qp{%5R#E!#_Pn0odUw@@J%rOwNR6qYM*!rz%kzOG0}%#cFLO&$4QsPYF3
zN6S;!F-ImswTJK0>5i>qOpO#qPYDS-<6VkTGt;&bxCm$p+h5^7d|m~O<%~<Ttz{lD
z`CHSqrty8+4nuvKjy_s9j?K9_bqZH7dOqMv#e1<mZ;uH#DUjKSD)E`SWKj4ZzX=NS
zH4+Ey2}V0yc&`=7*d+Yxw^wQkQ-8W>KJLt(HsK-R2EE}6WaxBTNTA|5|GIMqzV&^O
z171f-S!4>L(1||{7G0;`N*z-8;9|Sfd5ngMiS9!3Ct^3-``(KSRIN(8@ZMoFn0x0_
zH}~$cu0gdlruC~YYQ4~|5F#6cNM6Z&-`U&iS}|5rQgWaVrT%?+pAG&Px|_|u@?$2A
zTTcyN;rf!g3#Z|>Jgt{J;I3<0aGjS<4zp}E5y|^;eFM~tr-h-KRW6*{wfr%dWImtr
z^5RZTZlPe3HZ&3Gb%)^4BG~aIS04_Mbtc0JnwrD|gM#ck*<j^!@ATNbPFf{;JQri3
zZkwf0_p?<Z21dsD+_EWZ78dBr%EJtK!G!7ar6syFjOCux4)}JRjC{8|ITn9!FB>Rm
z4qFw=9475=F^5e|!c7)hdj;Sdbz~8PgM+)>{8uKI=M@`MI$>?bbV5QY1~3V`%~I~D
zq=^{t_##Rz)sXDgbGe^PB!ZtDPhX|aUNJH<y6txjtAh^X!Go%|AtCzUmfDV8hsLHy
zmM`~_iIULj$!x1T>aH#XrhVX;oScK{85#D2D#Pr~YtrF)Ow7!PGY#lH7Ce{xKmJ6=
zli>d4g<J~TovH4!9ngx%5;C`z2Qr@NhzD}w`t5MC;3^fx`7s5JWnJBhVQ5ux)z%c=
zt;c`pA_B-Ot{#DXp3k2@C)qW;^f-{pC@Bd%Tpwolz0{TnBYr!+xiq9@tG~Y#4!YYA
zbe8H5?d^A#x-Z@>c0e7jE+Sd2$E4*_E@p$b3qesWDx%{s?NkR0Q3F^;QD<iYFljrO
zbFo=nk5S}Bcw^&zfOhW`7TSM+LJQsZC2FsHeA1roE@QxE0Pr>K&%neW<MN-6Nc3wn
z&Hy~c8}z#60p-jXuzaii>##boqK;>)W?+Hw{8m<0g3JgA3GF(VhLx3y5{)7$deWtp
zzvbl2RBbO6dYvkzc<mtvVF_mR!r@**Tjlen7M7Or>?Wkl&`?mp=W5}XtwxdJ_8W!s
z2<0nZWD+=*m4Dbyw*##6{N>9F?$i`PPl_co`QJTLB@K-Ar1nHhcjO%7LEa=JOq#TX
zNz{g(^HI$#pUf#C4OAHG>12A{-H^WRRLN)S^px?4P2MCZCrLl^5HUDT5alAZV38+!
zgaGQa7xxGO{uh^}dgpnXT?Z>hdq)Sv4MfUFwL5KQk^|rI6r4IkaNF}IGLhrOVci_n
zm0RHMJpEl9oY9q2Mm6T;ShcD9oSYPX>v@hKHlS>-TWS+d{nqy%I3vx(yttH<lDd6$
z+N0IjLjS}=!r6IHWIQUlCIB>$tmb|Al->t=;oa^6lwLwq5YPchEB59EJ+(hrDU?e&
z+<_e{>gqNFmH=koBKL~tvO`Z7RywTPCVaWenqPM*pXS-#{+vX>?KTJ;+<W)#L6W@o
z%+HU?xc9pGIgZirS&YVi<XTPF#sU=mQsfVZUZO6)DW5WVa4WlGottbEC#5qyz?L?<
z1r4(<8)@cv=!G+un_XsVnCA?#$oKO7U;k}+dlne=7R(Wi0jt}lzH4@qH{!dau)r6E
zT|mp;zk7RUUGFMGy58ivZ?6M<41V@tJ0|zU#0uGfA3^}nW(mg$XfwU8F1+OVttHaT
zwB2UEVj9pqef5f%KH2F}e$5fP)(<N>#%wJZZ}#B3roICiRxYkQ4Qr6+tQ|T{iw%lL
zKRRCx<!YVG1|N3D+pDIr;!tyPh6BbT*mXKt+U4koPC3=KVlg6!6-R$##7J6xt1XTx
z@#EptpCpNDbUfy61ZVV$=RmKUrEj#F@9WgFlb+VQYieF;Z{GOb>^8&rQ|c!XV+_8-
zFPCZ45Am?&U(eN6J~bN$q3{&;u=1jCe0`)eJL=#719beo3+F4nM%VKK97`zxxpp(3
z=!UnwC3JMGVTCdBd~cRheLn(TEk5RjP&fb;tX?NlG_=??bRwFXeBSV*WssQC!5){6
zq2sU^P(M4S@*ABvzt>8}Z39^wR`3F8@?%m@M+d?+h*tbWOh6!)uUnI-J)NuN%4Ku@
zd32lQ_uO;>`j?GOMjfgVUKHo$@4aMqgp<AWcm#<bF~Y4Q@nWo@`FP2EN1y59b%@Ff
zBn9qMoUqodTxB<+jNfzArBl9GsdHgn9JSz_w@hQ`aq*-8OhIE~dVsbO>MM2v_xze;
zKJp{FWgj7A(t5)}$lcrL0~s<bHU9DO>X*lL*lx?oS9?d}wuXi3JeMbrZNPK5KymTZ
z$W=}8IYZX<KAi4M6^=AZ^~UuBXrx>CiYBjmZ!PFpApYaWGhcJ{YPWl#L@WX`&dkv4
z-m7gLbbH^;iL&rNk8Uu<!l!J*w8+x6<YY<+hhakCz$IeSWky8gWKyiBhC;bMxN6&J
z;-Z^xr?k%sB-9!Fhg%)S0DJ1IA*gc1kI}`yd-u*pov~1>?BXg^+}POrp}K}f;q*QM
z!D9U-47S9cAe&_0JbL|psiszFGpSj7x+JsI1^;+{?xpK{u^ABL4^riX4}AM{({`JN
zn>$z~TXp9r>h@kcBa1<)W(BBj6h%Qbo7ERbRXkVcq1aVSe?|{iUd~;_?y#k=azSOg
zS7_XPU_In*+8MUamEzdXTyM%-U!;p5JoLUaFy9x`@{|y9_U(YYPl-%ttpF)#BYrX{
zY#5?oQ?`R>R<HG9;4s~|(qjS?=*nO=H!|`m5ICNoQ4Z&5AV0mjMAH14F*3q)o!RM=
zSl_IzJp$~Ph=GAmS}8GhqcMAQN{R^Ja5OaN?JiHv3hZW&F<;MJN=R;T8cSVlb&+wM
z|1y0&H^neQTJalY^p)~>xoqj~^8XmJx;I4Fg4ZG_>EYCjBiO%?_2B+C|1-yB!;a+O
zQH?3PJeR#R;@P*7nm;}r;w6e2aaF}TcJoq&HZ^px)IGJgS4?vZGEh)ey;HxMnfkhC
zdA^A#wTU$>$Py&_X0TO2qQ?h=UMyHwukkQRTSh$bstq!4<<jcMR6Ba~XiOZWM!J^c
zh;I|F%5f_z#E|FDUAQZJTBD4v3GV-%SNFyDw$rE7zwV|`=EcXK`L>PJRGoyR{NXVu
zf;+b7Qex}Olm}71h<-U8E_^}Z68|czoz82sqtV9+?QK2=?NJBW?QwSW;^HJfCQ`L&
zj&CWKq$#!iS``F3(4iLsPr|{|02sanG%Y_tb`J$QQHXR*#;-I<b`VT}stZEHD*__U
zwEd`wT9MoCv)Xe9tcnWWFcOZ4>w4V<C#{?A+4j9!rv12go+&&jEhctfG#HB(aB4!S
zkpzr!(J?Vy9~kK0Cr#}89oqo<)^n>O^k+cud+_W)q5Asu!DDq+D!}`Ic5BFP6XYPa
z1lj6?K1aZ7%NZNr@9piyq{XFjo58u(1-9z0UQ{1XjbHZ+fb(_PW;UH~ruz2%yYW<Y
zQ}ARr$V=B7cQ4ZSJeEN@1BZ}M;u?S_j{a_Fq?TuPt14^<Cv&pZMbkOo*F}2z*RowC
zUO`~>nkD|fHdqQ4eF91!RrQ(!h@Vmtvy+}0Qnp;Ek7m9|7;?Q}$nSK1oi6LiN=WEU
zxtr0+K$)9Yo$gYl)<@kFP2k$R4*~r0btjm>yYGD6%>ddi^w%#|i3sv80yXU}&`(Bw
z3jzoqh$Mu?picp6+*3C<VxW7>cJps9g>iKAuG9peU@q--__lrI%vLWl#&LEoy?_5c
zyURwQw#RBLATJAoEIHWOPy181mXlpCJ5Z^rLtEzW@m83Lej3SEv(@!>rn_!uk<php
z%(`3Ry9jadVu;xc@s%@@+{8AMSPf_ZlgJ2EI^ikz<vKtfgW=`=QK-}L_E4(NO}c7;
z93UV6AW5=CsQFX*y{_76rC7NEe|W)Smo1NJe6E{kcuR~AZc2&y$vpe`Cx_Ah;wff#
z-#wE;TSJ2h)gpR${d0A7NMmD4U?91^V!z9bUzLCiv{$iKm7hNb?fv^N*k|72Vi8!^
zdb5c4e-gBn?>Pb$c5Y4Tc4%Fb>5tvv!Yf0kzLBNLjY7PNHS>nyOETs9Py?)=lUI)?
zR_W*Eco6_;WE~1cL4eJCScWQW?(MF9r6n0!|K)r1N3(hr_*ZUk#n~bAxvag!sb#q&
z%x-HBFuEM7X6<FYJ$cC%9ZK0?n6KwK9mDsgQX1RhzG2j>i^ipY6o5lK=q2A`Ud<%x
z=oxZpl-mx7l8;-T-`g(!U`w|K_blAhyyGWK7h9Qw3Zh0^SXR~_^lDs@{{SFNpBSab
z#>1cYG*!R3Q;>Fxp3!|zWSgxb`>pyV@vLxlMB9#$`ZN2m3gnh=>pw|-K0JaV^`5=$
zO1p6nq`v`!SfoldbJ>DJCOFSu$Zk6KiP+q}TWLb5D0BI4R0GS8f8S}1Zc37xZt>NJ
z$H8|2F^NAAsX!isOEh6P#`_OrGR++Dx*5SOs}lwB{Kg|s1v8HlYNsvbQZ%3K)zTVn
z$^>rcBKfh@QaQ&^HYPeWC}wM5$$=TA{+p5ML+3bFepkZOC2!f}d_uoOl<DS#tmP+_
z-P)xwza}b19BS_w53|c6us{IxBcHcv;XSt~7>RH>b+`=x@994dfxIzNCDC1YS!ao;
ztI75RVFfR`f#AZosjcP(QXMqv%i@T`l3~XMilvH68r<7H!L9E_Gw&WBVzi)t?=5o_
z0EfN)*(H3MZBI0cJnt2|)WWc1*GVHHWr@3xSBV_Gj8Q&U#Tml)xJUMujE)Alw2l5x
zBnN=IA%MHF|GV3f-5I%;?hXmnQgsWn<UI&sXOiK1*J3Se(1H!Da*I?}NHPtMXn+QW
z)R^o-GxY(F^_h{sVl6q{|LZ>K9oa7U`#;;^r{8SwN(Ww8M(n~XzWs=hu~=J~?J;+%
zF({gOK^(#lX!2G1xpg7j&bTza@{&9M=O%k(K0+PvkYO$%k;4>fwyyQXcWav6ImLLS
zy-2=$3Q6_}C&%96nSKxMw+_l!g6LuT7d@5fn6bh;2hA-by2S*3my|4Z@=1+>l*+do
zkDDkHBPIz+79M@gHNR+#`{(x1dH$v<$=B9BCI5~vD)kuE%u@TK3~V^llp^;Grh~VG
z)BpK(f0h{|m+r^9)0cO!QjzfJy6s6Oes~foX3;Bg?49XDABuo_swICz?>Kp6cc|`l
zX0){Bb|C2MZ|GmDuN%qsYM(3CWC`rrvnKd!rQdop^up?2<o20wx)AO+ESX)SCWxW6
z{kg}CEl=im|B=#T{rKF0q%#2tb+0JKSbfm#2TT6@C_bRn9J|zZb#CU*W0kWREp3$S
zms`}AHmWV+6z_0B09_Zz;w~GN9jgx(E?5!|RuzA(EC9yCamlN1VFF08ZSABTpbH+b
zdklWcJ?%vSz;?yer7)XO^V=l1IWeF8#B7a1LyZ_Sfj{&}L4jWahu-pgnQoJ@lKG0A
zhT?0wVE5Duo@==|Hh6w{T*d(|mQCh+EyK(U^}T|-YcmfcSf0-YJA)QYF3DvKzo@90
zayAvH%-1g`LKzp9IW=_V<-y#mW(qrw$3C}MOlq2$M7OD%S#kE84&xCiud^fh?z%pd
zQRKS!kCb@01?)=NKEt0`tc+AUPrP2!wZI-5#QPVdh+11S)tz>60%^^$nPmBzPp@{@
zb6id?+xsQzyBvs@@uXsTHIr&Sm}-av!1BOg$%0qC$Jesh#z<j!Fx91Gnx$EfPihO*
z6+d9vWs`W`0uJSe)o3Fi9NIr}GJ=W-y^V%u?$i^6x$X{F3SvQz$7adS%vG*LWs6j=
z|I7>W<_Ixm{NTQf3=vWk@yABY02@=y{Frs$R4$A!wHJbMAO8!B!OFKfDWDh&+`&I)
z#R$-XPSrQJQ~B$(BT(Q8CuKI**$s#`QSkq;-)qaXpZ3P)tUd<FyFK66`@tU-*bR7l
zNGFSdfN{B>TDCG(g9;heaiuMr_QBg<?lA(?i)?}e4dhx#UWmC$x1GKOV)TAvb2F#F
zd>8i>Oom19n$GF?3cdW&yRVj`-VAUw6^CikU=S10f23S=ME$Dc-cZD_yY2G08<K7g
z9V3ykb|=e!)Jf57WkI+t?vD$++{A}|U?#Yv9TnJkXKHUR3e_KL`(DU}`*-?WoH+uK
zE(`QFZSTe9wm{&>kT!_<MMd59xmYJdi04@D51PLgbA0MjfjcN$G5)sQ>7p7g5m66_
z%h82XBoqv#KVoiQ6X37Uzqo53UVQDG*hK;6k3#8|J>QtAg-Q`_&O3OyU&%r=cOajf
z@xD%d*#Jq$E&j<fdu*UhDbMS@qEb%D-L!0XJl<-%Pk(IX;MEwS=ykR#X*GFf1Pg(A
z_gqY{wP3)2FlRj;iP^$slS74531}PDJng9k%Iv}Cy1Mc)^8u*X=H?u~Nsn~AQH{hd
zjzmf`>r;zsCDCDiMk`@tK9H`CKT)7mlUtEA%ii7nAki9<#9a+~3#)s`@8H)`rxq+g
zN5cD)RR2>pbs%dWc?t;CUY1Yl4(E72CPW9YW?=Bb$=li*6JlGvYk_Y0+^YBRH+Jdc
z9dKWFGa3h=87}l&H|eWYvy)z8xm_B_RU@)a*X|>5w2Ae6T_C+F*b&xPq7Ut#eF$3Q
zqf5r{>1|sF8{ePQPsPQXd?M9Uho~aMtoR<6fBE7+FmNEza_%EMIH(fdP#+R<HoL6n
zeW(NT4gDS18`<4j9q;-~9y4e(7WFj^cvvE|uCXPMp-w+{5bM`)_B5XqJFVFM0cA5&
zMl;2m@Ev>F@a*wV<}8@vr;#Qx$rgx$rY1-~L%G6SyeJAvO0ocd#F+O0@ex74-tV>C
zmPVNkCaq+Ijgu8Dhzgk94z{oQ4@HB>VSr;8Dc?nH4kw!~YW_VMsZ3*Hl+z<^U~(`8
z(mt@jyr@4h*Oz_A6g^GXGgJQUQlSWKq-1(IenREH=iuOWx;}iUob1cS^~Rva&|h1z
zB^|J)Bu`$k0$hDfc!6eB`qiroyPflM0n;uIv%2Gx3m;vN)e4C!0o&=?aF)6xQJ{(8
z(aBml^yFx4+X1TWiB;#d?d^1N86jTiA}nYf^uLHe+2(p7u=|42_ni0IG$fe$<44?=
zFV9dgh@BR~|7<On4ziu1T0<t8=Y)kN#yC~vZ^FAXgYUCf<i%wzo`%^i8(i4S6{qGp
z<C)~w^-RjYfytN}-WsOL&*~1Ad2L7(^I;$y5E`+7bMgl!p=(wUcq5RfeT7rOU+d3L
z_dibbm)ZIb<?D4^^HU>*ElR(0;`}lE^kRGa-jgReZGxh~lrR-Fo#qmAdOS+X?l0og
zz>m_g(56ggJ@Y<cG;;c4%jVk00$diSvhj8THJ-;mXYC3s)$ReAdg-9QXC|-eav;N(
z`FC_W900q;9g1r!S{r~IH6CO@XqrFZC(T1+3udLUA*OeelO3;!FBv<7^cDoot_vaB
za!hwnO-F)`v&81h&SB(Nui{etP&7&&Z)&b=E<;}JJNQ+fs<tmVz^>>_JmxGm>!Eq@
zAiQd;GB`aw{Q~7309WVxsV{(=@5Npl{S|D{fla^uX<o%rC6c^y?cvb$E^rO(fYe{;
z>B{!@t+clHp|iGqQ~pP7&moQFzPc;OH3$M>c&*WjiHrBvc(N1eIFV$g`ZW7YiTvK`
zV;p+*lF>#)$VXm4Gd!IAoOWrHknL1=d_Rzmy>@(;oN5%Ba~^v?2YxrE2iZ^f3u^al
zT?6NVLvFxBCRLl`onyf&zN@wJmng>}SPtS8iEXSHv?Jmr8AU~!SOYZq!=mo)IB(wy
zqM;R1Og3oN1J-B1G*Ty}xTu-kVc}JZ_tA7$<z=)a<;;GMu*pzP<mza#8kyR#yYq+q
z!R~Hj|Mc{g0H14fp6HD^Z%oD)gBYP*`zt0b=5bIks7o%quAG|3JIjX83|E0U>bdbF
z2F0u}Y4VP!F$bFAx@WJtxiN>`V}j<$Pb~p=gBa=~{5}pCpQ?n$8eRF@Nq#ZCztR?Z
zcUNXTT;7W1qL6a~*y;X36LKX$WBTMw$-Wkh^zyuLT72dywB-l)I}W@tW1U6fFdV#<
z{p@Odr|^e5D`Na+Qy~6hy7P{4G=}jJJKKxO;NiJV@9GT34xCdjN3`k9hb<OdyY;I`
zTAZ>Q-*0;DR*^0s(2H7b!9K0-Fow20>j|0iM1%>Yi+$w`43YjU9WP5KoA>;&%BcEx
z7ej{lfUl3pELFJT)_^M59b`r_#Ht;@+`xNIdcNx&X^QtX=24dOe!e?D<m52$$(d{D
z9S8B`fE$d!OAVcF+D}YrsMim95ce}qU8xf%{Ufb3n`B=HdBmVG3inLj>vpPo^~g~b
zMJgKA?Z%Do0yF!VG048!C|d~2^8!mmnpBFK;ReJ4dxxqPlR`oFB^?(F89;jM2OewG
zQoGr9LLJ{8L2NtlE|FvVvz-RI+I<q)T}f)Hg{E3hU;lz>({@u0;`v(9U6y<6k({I{
z*W>n8iibj|Y#*BLc0acw#KTVFx|^+`ysQ;^GyKtfb~OguZ8s#pamMW17_}IZudIr<
zIIY-D=GfN)U?Ui}(QG@E#7P;x+wV4>TS08%<K-m`#iAJ3wEr!*PtA`*6Kw=;n2t>b
zUD#*S_UTfQcO{+xvVLYMGdw;anPLp;Xg)x5kxrH;njFdq*q&w5@%!WOy<ZMYX^Wx$
zJ&^M3B2suG9G~ua@XpUl8r20A91BjzD|4j6SKl48*Oh4TyOz$*2eyy#zATcYQ|!aN
z>tE;<|6UHs7z5(!f>RO<4Eg+G4%U5vHC$BGs>jht-<?levz?-Jwq{nh*E0F01sDPb
z+~i7a(Sr#d=IPa?n5DP}aas<|?4J^|>O<6YoC*3fU)UaTxNJ{#0Vb?-t||1|&<mQL
z^sis-cbkYDmlDhXaf+2$5>TX`qn^t}9>E9NEw)uX)pQDW45VOK#GnPta8)Ux?!S6e
zf_I(AGrS0X`2A!mrQG1y!f=tMDX;dq^Ic~_g|98!Zoqe9|GSe1nGQeQgSb!$U~T)F
ztQXq<?%JiiSvqW3JQ~ktgc2Pc?R7Y)20G?Vd?F%8@K>rmlGD>uK+eB;siG1c8{0IH
zrJR+WZL~E}aXyRft3O&~B5<~n7CiV#^lez!=gP{k_I4$(T*tS#HW}41ZpofpeB2v5
zBtE$i0-_ydWX#A&x<1kU{}xmy3W&)~T`!RA#N{y2Xl)vCMg?0{q}3L8PTZH^R)m{5
zpURuPe<3%#r?F0N4(_khx~~@bqABOKv30XCu|#nUV`@(eU=HQ&?b(1<Mj3!QjP072
zo4e?b&itvMAd02#{QXpoC)EKjw!jX=w(f$<_pCqlWRb;p)UG-sBM9g`i8@s-Y_?O?
zqC#fA?d=x4FGG{$`GKEZC^fUGN0_wJl;ibN>JbyEDDVtuXpL@TM`E}z=%lpWl9ul6
zI;*9jvHoX99xD>|iRTD4;}#V0pYCaiMM>$XMas?yZ|^NDO^*=vsZ6MTZU!s-rhsm~
ziv#AvUEMcFyMjk0k<P?Ze9qV3(^6y2`+@L6ng#g9tE&Y-Ew2XB1vMYvM>3o8*T8R{
zI9hDxxZlMMW&|DzL^egBqIWkwo*1}cy7F|YfVd`*^R$q+0Y;049oe{jTv{~)QuE1)
z)FZ}Cipx+1&2B3$%a6tXh0HCv+_E6<AD2`RZWUD{(yMO`V!UgB7zuC|7hv;6rK}S<
zen{ralO+uEkia9N{PJL9>^0#7q7EnvDm5cxc3VYFi)xO#ee3eIvF;5z(cYx%G~kk_
z{##iP?7wogxX*xA`MwV;w8`)*W}Jlp4IN(Kn>RSPb1HvLCX$1`WmmzZdQ2Arl-(HH
zGCEhq0XpxU*h-nHuzgEo-N)M@t?jZim&&NPM4u;}$72YQ-|_PDLcliR<Q)c|0OAPv
z`vn&qLA@ni>Pl<@;#0dnGCDDjoj#28oq>S?5QK}tr<SIdpil^=Pigr|{(p~kNNOFl
zJo7{-b~Ht>GZQD+T4m8^Pt@AR6vHwQRmAi?Gv=tWm{9Mcv*EoL0CJ4YF)c1Xcw9?A
zK8wFL)X||(5N>k!{qp6@x7=JXl=tu7yB$xuR;=e$od83aMu9$pf-w8`dl_bfU!O#n
z7_y@q8%2Bew{G*v@Qd*wT{Cz8il%0<u+Sb%<^)3+k3yc#GzkTkQ94#EjzxEu)y-s9
z{_?Vk&<i2pL!ezsh0_yS<vD*H%}}SWsgWWYIZWK#(Ca_}?ncw@q_&x#0a;)#fO8K^
zZS<+evkh-LlX&qu3_2y5S++;e^*_oU>iJRBP|zg5zCP7*?PvdO>&~5|8jj7MO{}hn
z#|)TO8O`EZWJWXzrewYEkp7)qm-1vzlF(EQV%O()|I%v>^5q%R2j{5#pWO%h_O@DB
zU%`?9+P)q^^4`$kAPyOsXY2BW_wnS$SZSzj?P-wBWF^8~5|TFOVI4^g4HD2l@}+to
zkpLj8D$|Zs&$_acDzGB3d3O~9nEQX9qxp~5d=-94%!(*bw`vYy{+63|9K~4JlK%Rv
zqNI=$dGP$Sxa-4!dx3`Rxs8QhH^mfQOxwUc-|p*`Vba7f*hYB-*P<^hDZvkh6;2-#
z9IL3QwX6+hua1}5ipH1c&qwfM`2nwLS^ASdb`V~S>5a4ZxtzkdB)9DX`ooMmnSL@$
z^Hn^`ghGjy9blg853}~82&uX)q2Y7YI5lGz9&eTM#cA<d!pT~I4Auw^X(X^2Nu)WV
z6ERzrFX>n7vVbE6v2Z~>MMdGpLDS;Wo6j=82g>`EwL7Jso|+0C*O86(=in6ghkdxf
zDw;O&vw>pqacAC4@E1}<Pl>%Q;<13~7weLNxr-fB(mN#&6#y5F$iTn=uw<sT`{K1Z
zmH1mK;>BDj3xIYFyvs@bcHYv`Xr-m4PTNy82DH$V6E}8t_K^xldf+FXYd~kQDz63U
z@Y+j#VxIn&=q(A?7`0ViV$OsPw>(&)<O$NH+<2cJV+Tjf>CCsdjT34)8Qy&?^KRjt
zy?4A&x@6R&5462sp7vUl?(M*^9YIlXI9-GSRtAHHmiBZlJOAP1#|zlLCrI9B2j=CM
zyDd~^M;oKp#Usge3fR^Gtsv|$AI`l8oXH8-{_dXvsLIO9uxj`HZ{NPnfWtY9C-afE
zHL8D2e6%KcN>fw2D3CHW)!D?ohw%YLuGvnw4@zwaw{rAnBOE|+pWQ<y?S7-#6($pI
zWGI2Ck$`r;B@nq#iC2l~QvTW?4ZN64K#(+F>P!geSvIQoLzn<wY1vev8jYTK0eAN6
zs*zv4cPCpl*Rbgw!H5+Xka{}gxF;LGLUqUHf_}rn5Gm!GqafGEU`mLhwp(d4xyaP&
zyX>HeS!hPzq!S4@l)fVEoFd_?R)KC|Yu_PCZ8bf;yMJYDOOdOH9j~ojR$tqK+~D5F
zp$Uz6j5NnhVP(~!!m<^vYZqZ9tV}eW<Jv@ced=Wl^-w(eXny&EP5;(I=hy+zT~`O~
z6x64@h%OHCo1NZvG(7jw9n+D>cNA_)<vDp+_G~QM&p<(Q+5GmMV{Zag-d(C0Ge0z*
z46`R132$XPW%ZwywK5mBJvTc$EiYpV{!-ZayXm2!@G~GDaLWdGO8He!nt(00mQ2|;
z8utF~EdkVO?g`@uu?kAwK7Glh#yr{5`)92OZiN`NANbz9)lrJ=A7^b~^?jiqueEx=
zu5a{J<zCMljV@68Vo0e(EWAciB4^Vd1mfWlI^b(j|NQcoqF;D;miLNMMuw0Z?qORm
z6YU6akAOu@DQb1M|68F9yT0?Nt)iH%Z}%tHA9Ss!B~JJBw7fl~t(@;5m)r~#rZkmF
zPa9R)oEtQ8H-?V3WjiTt?osS$hK`DDj}!?0G~hAEL@?x;{9>hJxbT@g{%@liot8eJ
z(LifSRc}Vl)5`mSGJ~}bgM);UJIgsX-BUZ=-TUC^^yB$^ssi!(7vzEb%y?I|`6Esk
z<DWA*pD!!EoS!>$9p)UhuJHU2J`flp_}ah?)(X>Q`>f8iM6JTOnf&jA7ABK9c1eWJ
znhwk?dSbAA3JvZmmG~F<zd3Ljj9xm7UfajHEEXTbka>7HQVYbP-A0p{$gajRdY&f@
zc<V&sG0eH?LtVC0S}*K#69-Q0u3KhJFCK>7*+9!Qd|r$j<~_pyjw^ENqBlmpGm@>L
zRhbdCTW*_%$ic)oT30f<p8-2wi2P3~=xbW$n5WuwisqtOtcQ(Mqj;Tn-WXp!BB!+R
z@D+SB$n4P+w0r&rwu(bRx>1xKa6@f7-~+=Y#RLL3k`XE}>`x%%gQIC-EBQ7JhAhnm
zfl5$k;k=(j0gIV;TaEp{rN2TnDgE`+H8%E#^5TI*e-2e^mR%n$-v=Vlk2BuLM19Q`
zHJn~a$M+z0E3Si=+$Fb9-l|_b#_6Df8Q<DzI{dmcK(s@T$=g2o+)QD8&wd?MxS*y}
zUMW3%nT1?Ff22Sk`XKqnXBf@J#lP%LE`*xU>z(k++c0LI&JztdsNd!4--G0d5GnDm
z8Wf0AZYq7nEAaH1IGRP_+Rme876@EsCYP}Aax3U~FE93&|CS<iIN9)u+GmD9k1rmW
zD$gf7itg3XFRg2_@prK1%nrz3GH!_wp`^WBy``-y?AkfiiY?CB7^vaC<!@k2_b5JY
z=<DAoPsj95Iu-_D4FKt4V2ZLYAI=U=;W-<Ps$eJ@lHT0R8AJE(g}+*k(<>W2ziSM<
z=5Ik`O_(C&ON>-0iCpz~HSh)>mEe?3cjau9A(ZEA6R67`R<R{oy5j5~$_3)*Lh5-B
z?yMDUfoAk;`|R#1()n(T+~cm?`<)g`S^E(NuN<7NCwb$hl_E<37UI~HJ05}bj!OB;
z2nCDXv}a(7RoS;kzGNkzy%4zQzU}a}FZvV_<+yva!GGh<vs_b3Vb_PW9xW(fT#f(6
zg<xCX!9RM1JoCO&PoGl@xa|SC?i}yMTs<kN;Ml%@%dp>HJIl%VKOpD3keF)%8m&wF
zp}Wmrn*q35UHEsa*ZJsmp9WN(0YhTuaRNe+2#``)0XFfVkUZ3|4QL|VVE-B(J5cFv
zyU854_;QXrOx3rxW1YUP{Y}%Y$P~8tc@A973qdiT8|6fbaUa#Ix@KMu0*(jVN_>E?
zbwm`n<P~6m_1R``8lTR^LCa-$Z|M88+OtA@-%p1Djot}zJ2M9&va6{B8QZi)(3>r-
z%2oG@@=XLH;5K+U4#{^$-fG%WLAs-d=U=Q)O(1@iyM+;e%>T#@n3%KCzmr8ouHki@
z!aQ+_DEsKP6LG1o<Ce?)N9*N{quyK`fwsPrA|J`lr&&Bui#A02oHede2Y~K^$Qq_r
zg6Ecw9v5Df_T1Y!%=h#A(EOUL<`!O0mRrf%q8$IS>FBHYpIe2xuux~(&_@qRb<0&j
zfFrJ9_<{=JOfP_OZ&oBvL9=7(5XUT^<xBG-5;fmIdj%kqd%x)(gkWJhyrHocy@`KD
zHjIFT@pVc1lo%Hw#UZILb#S~4KWx_}b0FPeIJ|M7Mpluhgu9?(Mb>Ey!;w(P-dU0j
zNy@%OpMT%$&13Wmo5m{c$77ZI|Gdv7?+HvgMl_4xu*wiGXX?qW#AyWLGqn^*C_oSO
z3p!$ufIfj*H_`sldq~hKPtn`3!b{c`)XTznIctSvDfo>xmma%8k?bbX4kVMir6&fE
zjg~19>Pj_MnV5hRtA3jy{Fiv9ock>?aHHb*L}xt<FCMUsO6{F#Hg5#xXw`x|Lrme9
zd9;n>4dMw<oQe~i&b;SdXh`;0b#x<(Z3r)UYXlA_<so_eLgA~T9=9rJqL1?3qi;?!
z4FE)g>eqjkB;sI#HJdn%@X4ipx*iv|v3)^5MXMkNG?2jjt<6{ITF`;BdiTk*KZn{E
zZd>P#HGVH5h?gT|mad9l>B&Q>=RGm>5^O=P;Ny)ttg<+n#%_X4cpLiWbS14l?i<X?
z{L_7qe@^g}pih}tf5~3v8&T?o{`wcs2HqB$je*0{TECyuwWBEY38J2?MK7$P7;#s5
z{(UGb0k6xhNVn%>W{nUuJSctY^MxyB)Ow$DLE>375EobrHJop(7)$ZUOc#gn*aLJT
zq=IkCbUHEyOy6h_Wor7A3q7=s{wd_!^r(C5ny=9w?+#sL6X(eswb~=pqN<@TnNSCW
za(5*ZdmPPqrSu0kd-_R$@C-P>a(aCx0GwIiB&UKpkzb2EyUxymro!O{MGE|jimc|b
zg-2^|Px<ZKE-=<fU>dOZ|BdA4$uCf^RXcaKUBzQNnkvqXVLlBRZEmZPUpx;BZ4KE%
z*QM{(OS<jn*jRdkhl*Nk%p20g&lq1-iV=!->E<BZNvB*OgS%>XGb#``hd9DLSNNIJ
z2v3ukB8vOFmvaUj-(p{wdpCxt^yp``!Ken&;pP1PDn;b}9qY?fj%7%8yDL)%+k^xQ
z@5K1%ZY%=A``r;&d%nW8BLzZ+nlDj^Otl-NYvg~LqFI-BFFd66f~||?xFh&gO8X*c
z87o-CiF#VQ3xSebDLGocbpqrQ+CGDu?<yE=dDr)~`g|Upm^e(1FAkl9*~F@^F#afk
z)RN&UddHas?}sxNT^$+3b$Zo}T^?O^)ZsQS0oIgy3U>W=#vyHAhLqTXUDolRz}Zk-
zd$gFpPT5#L(>dT+aS>nT!)Hz$xZo?<I0h|T^c}Vv8TY;qlGyAPKSc?pUKLP1d{e6^
z^y>9NH?0hRfKqio8tdk}7;Ya{@dy_k`Fs~tISAkCkqfZR6`pm(0YjQyzr?m|ii8l;
zainzi+l7^5>Fp6CzulaGYCYFTP!s<)*qPja#zkuVh=vK+(SMWPw@!L~sHy7}#@Wf-
zI*#;-S8!#TB};kW1tW`3UWD9wMq`gzfxo<yjn<fsQekKwp$UzoU)qMutj#N}0?Ok0
zISBoI4t<Nc4|UqL_@^K<uCU9e)71~ee2-g#4sk9NYrxhf9gdP=1C9fY?<K#`Lmj@^
zxk-m&FB2KTZ&i^;%ZvO?e@^DYdfdB>frVn;d<ZeqHD=z8>-NWj6rE=Tm1(0dwL9RJ
zt_VB9F=qzF9|N?brItT!2mNlN`%E@%CmX?`B7>u$SsC(YgUD0?()V6UmK1&q0@M%*
z5|6c=>whKhezg2ex^>c!8<KNU!K=Mgfo#nC=Cc+e-62M?&3&{mip;-@is8``v^(CG
z@RM04UHPVc(&_6NmfHaQdgJl2;a<hg5pg*EW+S!QLnf8QojoXvud#s(GK3y;rCBiZ
zfd0|T-C!w8rO4mkBM{BJyu3~)zwXSwH1@24yZctX&&2jm<2w$qeYl`(l^+)~{U4ky
z6iJhNQ%{{3;9A@`)P_xXKs^_ziEK%HPXO!?73T;6!*Pqdd+)UoQPSxH_lG%90Gs!+
zKn8EM<nOMNg6{1*<5|Zk0Mb0rIsw_w`<%*O`|}eujpRg6;j8FacNIwIU+~+7JJBG<
zcVlPhGug166!W`YUiS0ye)&eI0A2ip=NwF3Su?e~!b+<LxRi!V*z`wc&A%wGS4-yR
zn?-aQE{Ei96#)N{(|AjLN-5q~o&8g!>T(|FFmxH|7vLOyliA`A8bhen==z-hR@7+u
z{2?tE;Qy_QY-pY?6!{u7)DIqGoKFU!6h7xAhOw%@S8nT&aTry2iC%w7>#+x(QsA3c
z?}}S{)BlDyUuigSlKlDze`vo+*KpQf`4%!XX?c6{^g&Qt*nByEfOghKB*-nHT@R{D
zE2EMZu^^!P+Y)q!&||F-F06@F-ej3R2IMfvwn-ge5xn2}&1SlaQEgEiD!{-kqdP9q
z{5)q)!8t+X?3bgF4pqU&!&`HJ=6lIk0}%^U=kZi$hla1pImoI<G2*XQ-aL;?<<-0y
z+jUAq@lke2#-TvMwZAF)UNq)#AU^ZYxGTXR-dphU@c@<Y=bcCF{I>azX7;-txLu$?
z+Il~03siD1W601wdZ`#BRggvW8?;Mh7X9$zjLh-&b8sd3yrf`5;(?lZ%!?G$cF->#
z)XU1(%ekP0$d)DYU3Dh&5NBFfrL}LOJ!oDuCauEDiYnviMS}$w#R3|Q!;`-$F<Sno
z?TNeNxaGMk-1qifYNkg4a0x*v38!hg;h=>sdT?SU=mCDqh}QA`6LZE(KM}?7&}$yn
z(!@sv92+*plif^h{F>&;QLQFBPpvLChJ2GUW@9U!pRSM975p&dg!IFc+PXw-={t*3
zosW)4l2^!G2*A1hGz|+Vu%s=zV7sfx?>$NiZ-Dt*n898yd2i}a?auYqtWc0q27VV$
zuee#);2+ga43T-BQ5G)<z&Wxlo~7fY5%>orUE7Y!q^Q2b>%<mTyZTUdjC12*vEz0U
z6DYt`J0BIY6NKyy(wiltNU7u{p52OpKd|r?i^h5;sPa2s@}*n6;M_L8g1Q!)A^rkK
z%a1Rth?eOPeQ2N;=#b?QOST5Q2#G8me*<E#>d*1M-Q%yviR!KVbqm2=gSl@7XYI}c
z(Y{}h55G8rJ=974FN#bT1ua-orPcM3esHp%OT~uzDZ~$0m1oXGxQ&WOu+GAMSzp04
zD`KC%dJL)sMR-wFAYWNzop*6KOW6lRRw2QZx+I~fz>ol6A+dC$n?r`1aV^`X)=eJ;
z@6FM;@Q0Em_k?Y=u)y_T=?iVaKJn8s3wtdHc423j60fYZK1?iHjp}ry3QfxT#G;3y
z*>twg5Y3;xy7fhh{^q-Z#$tii1ek+jAZllKsLkzFk#>)Ea!JrfES7JzaMZ$g4{qCD
z20b#+nrc#tk)akq0|jLK%K>u}E5?*oacE|3PxCsrR0P)IEJ*-yua-!zl-W%|ir}l8
z&1|elMD(OYKJpi&`tRiC!o=XpSbBkt><U-(?j$|?BXbO#yhm0Q`vu;f*!O@_ZqM`M
zX@(7i+{h*f9DTM?f-24L?fruOKb*Z~ToqdMExN%#KuWr$ySq`k1w^_9B&54lBn70q
zyOHh=0jW(1f*{@9`PRmB&b|Np?(cnge$fx^wbx!T=Uj7+F{XAxYcr8A-OaO$Bf1BH
zC}@cGCg52AXJELE@gD!O@P6wt$PHtO?jfSM@F4;I&{cD<Ur@W97~Z@WIiSZ=a?nS8
zg_4%9cz)Vx3_zs2`BT0Hqu&u-hIF>*8{Cu<>|Qu>bXQxyWTdthAd3Q}pN?$0A#z>+
ze_t-<PA$ISd%>%0mTLl5CDRr2mM?#h9S5(ArG3XzAy)+|7P8=9&`kEg&X>~d@Ky}^
zl$>THre@}yUXQ6gg(MecL=crWvEU5{=L`7IryrnxvkTeQZ)0_Jkbq-hoDG`y1*i7<
z<V*Y0T@2!FsQ5DNf7yeQTwp}=+(_93&b<0{PRP;+t&Ckeq`|imzU++t{<`6_ORrId
z!Qr@3!AuaSpvsL3z6@4>rc(ECOqc=>ke^*uX_gcPFqCFqe+jg1w=jzPgNBDS)d13K
zk?Mbz8;MtnzZbzTM1Pn&U+TLFLQ*S!4#h55`->>~j=@lcyANVtPvw2{PHOstnukL&
z0%;to!(>AQA9DC>g*kudf6lSMi7iagD5@X~6`qX~p+<4(>2rlDcKq7X2xYW-0O0Gp
z`;qD!&&xVANlD&-N}IjPtCg-T9s*rbP*+?VZ%Gzn)KpEDXkh)<tk`RSsM%{p3q;MR
zAucRk>B64<Uv>u`;m5I-to4aUTR-3Qi8ElD|I+t_XkYW5mCk<9Yq9_`PBc#Rw{`Nb
z-c3-0%#5B!eCL!%EGT`Vxuy&nWh&|L!tQU6lr8XaZz(Or2qQ}WbIetNA`8a1-jh;-
zrN17+_-CU*#%zY@EvNJ1%r}JK0hgavvpr8p&|`9Y96Z?eBoy(DLj#t6+rp>nMprvK
zRHxm`=c861Q`ro&y8@zcT6qME(a=4_1B}=h#<3%M{<CeB*aE?>t~*{<g)>ja%fek{
z_r~}{mW-g8P&ih;fgnIR_FMHr_AQ!E_(=ocwd|S{sGr_By}-UpZv3=k;tYB09KKi^
z#Q}=BkCP^dfRD?j_%E&*tVll>xUIh}gK<BrB<+-Ya!$4={CjwGFjeaO*2`>qjOIfP
z5p%4e`nD+bIxmdSVYz_IE31}SmDV>VR`D@}l~6tp4W&?FtccG4UNNZsOD;!?v1{l0
z01o^#jIcjV>h^OgMzePV?E;O_#F%)oD|{428}58~qN;vd8ZWQ3TF4aXLW$bvrV38n
zJRXolwGmf>CE#>irOO8}BT(i44Ht=CeGp1Rn3^3pO)P=vB)joVJ*^`ty2#U~89bd6
z_whom>F9>kJ=PW9K|~V^<lcJ{OT~wMZTTDZkUj+hd+6*bZ4acAjJ_z92Zf@44^V}^
z19I!)0m@z5h6}o7$kOhgGkcvg#L!a2z9gj|Jhg_-vBnw{`6-9$vkzFFsC27n>@4?P
zO#hhILlu1~{-iebYu|=ggYjgQ1BN-(|7V4I)B#Z6+%|IJ;zfLfB_v>CSzl9Aho;Ta
z22J90oq2NrLlXS?j$wbHE7*8|xQgWo-?r};G0Snt;)uL;Iws-G5;1Tm(Y3h-*{4Fy
z1$n!J-ZK=*KHXFh*MwqUG=0m2)Ux<?Kg12+9W0~C#=tK8CQc4*(7M(&*?{Kgc<fYz
zjJxTN_!of10N`NQ09_~mR9yguW@6BN2o(J4FE@({3JMGlm-~|4Hw$=)P@T7bwuApx
z^iP;Y`NVnB^k^Z`qp##w5F)1f@fEiEaU)X5ba0<)K#n_2Y@t=hRI8-)fh;7s_d2p6
z=<FjG<M#;{A%DaDof`Yp<knBRT-K1D+#Wk{n~xQOpV~W-Lp2kgcCsdVd;^@7<1wYY
zy1ICnwn+P@E!?S+|62jt$;m0%Z8f1zhgr{KhYK)c$Ctf|Cp)ijqX7UXaX$03_Z~un
zI{$wt$qDduvc{|KBMw`8!n?F7WO4<!b`cGKQ$zsM2HF+hc%69~XbeJfoi{}ejs+;B
z)m(I`F<%o>?_L-P$vM!&tz!`P@2IjTOo|{z<?@6Oaiwgm-HX?Ss5FAoe`H)-FDQ2a
z$}_yUl$1j!3Xd(QTyl7vS^-U{)lb4}fYV|$RjLbMxD*N<;tS=S;(w8urTr@|%I{dx
zM^cr*5%=^Ukr>iFhyQ&uzi?)7Sl_<avFxyPDllz&2w@%lvm611fA%0LaTe!^QWt4l
z5R2jSFy&S<^rXqy!N?nsbZu(j46jwkT|6Q5(~#F;t3gvIj+1o_r24rMB#k?gxomxL
zxB_`=V#38&d-gLJn*sGAna^PrNP_U5jH~ty4VjK+N`R$h=io@-G=IjOR6=F)_hdS1
zkhBKy>+4pQxtwofZ6l%}Z@Zz~=`PNAttX-NJjCf-nCz!7b$rPBEMPHspo=u=g9!73
zyVN`Gj>WKTujO(8_yiABm<^HL+U%T{NkE(x&S3#r_7|m!;ti4iRin9XaPvW76Rgb(
zYwO(?X@3q}e>ONVAR;0*0XZJQqaPd(;Xn8vfhwKg*{s7;BHnVU9Io~CtcJ76`O#lw
zP<)ueAkfo-X^R<c0rH4v`H|4?*;@kCv@Eq${P##?D1_#EEE{12D!NX7#P4oX`aX(e
z3Vg^Xc}TvcZ;sfxksz2_7`TgYExt8IO7u&1>wImNxR^Qrak`QYo)6y@o}_d5`o1co
z1b+jl(|)Ue|4unwLtXu@%ye}0Dou_U8(ZT2`<)kQ%DTD$q?uP(7!2rFsQ}~_0zeXk
z0A>NO2%Ugn+-Bo_L<m#B0~8%?6%t5LP(bS19EM}8bD-m6*!=Gm64P5;mvL~JS4UUE
zBUPiu7Cpoia8w2jv#;Q@`L?7h)gyLKB3Dl^aGzW=?sL4bB9-1o4!SvYJNf+cb@{vc
zf>U~QR@y?lZ<XUiQ%S*Y4(7~o4?14{m}M^!nR;u2p1Uzfz9XxCdEq+l<GxKCx_)+5
ze|<PWxP#>N>wWDvhc!jm1Y6D*k%xd_3yw%@Q<E`^uQ~gK51jMy|7)JX#1gQgGS2ob
zs;_Hj*N%xvvaVUL=fhzXKbpn8h#&#xqr8nizz8rNYimd=D2Gdjx;@;ZEoo<cT9~Y7
z&ycdL#@knPy%D3o(zS!k*>IZ;Cv)vAOWnt2_|uZe52lre{NJU6@6OMs^?eZbvbd;-
zf}8s^efXz~<5HFRSYmP-_j`ggpIbgcZY$nm(b4~V9sJwMtT)e|=`f5>zJTajZm<}c
zNMK!DOg=;8PqQ>`I?TbrnBg(WHH!&6xq%<a@)@gF=?qFOOI!anJ&uWbc|l!llPpcO
z^*mfzZK6VU*XO8M^r6ob9(Gn*f+KZzu-TI87Kqf)zLHl`f=M;S8He%Zj@Cn=DnzIV
zodIYf>l`4Vu|ArG(CD&9O--HKchTHCYwaQ@i+OJu%w0fqW7h|Rpks9pkwbbKysitX
zqHpzBN^i|n?XHC$X1YJBS21URm1%d14L~Ylz=6T;#%eqRQ92Bfic2_o{5(*IbW0yB
zpvGW|figG7hNBi1Z5Sa>Se%}F5P+Jn8~1zx!f4DoKWzsyzL1Kfh6`T??)<9da9kge
zTm#%eR8dgq)>cWp_fFD{k@|7H4oPWm-8NJp4G8kHYH#`roDpvQKD<uZNB{l17olF(
z{5@Q!frA|ra>bTd7pWY<-ol(ve@}Kx5GWi|Fp+%}{${9!tSru-46Zyt;6A6K`m7{!
z6AefVk)TZd;6ycD-}68M$ddsHIR}DL7CO2N0J`0sYvf7X^aLu9`=e5%2ZsYJ98R0#
z{>ni)IXO)SJ%sUtriy$k(Qn?R{`I4yfEP+NpE~?;@d8#>^Yjl#m%pwk4AxhlK*xFZ
zS!j!eH{j;kj~VnF4$Z2{kM$z474OU*VWZk~+F{zt55N0cL{9gqm6lI2WYECafNC9M
z{`mh}kOyL4gJs?)3^0!c^wSt~6;pyii5wumfIfgjFR{zlh=@`5lD|@*=2X_LNdQ9w
z3bjZ?0DpVda+rVknyZ0(U}a?&ssi;CPX5H4Yt%7^hcWk2wXQ0`MIHCB%*KWD+9!Lk
z<NVka%$--5;)CB4ZS*2c40A80TbgeNOT9-x;NSqbSU|!f0)%(~$6o-rsJEBL8-w0M
z0CF_w3-<u<OQ-=Xx92T8o9n*8?O|N2EkNSdRx$qdRoq7>hgS*OHGYD#+dUp5UWyGE
zFa4)_S?Fcs7i|}}xRd)aNjl;LSMw(rq=s`BwNkH{34QTFy4=gwMe-zws>`18$~h#k
z%7(ggUFT{zI>u?6sX>8SS~hrh|9{|AGKx;SuRHe6CuSNEw>cEJW=NmI3e;;9gIiQ{
z+IMUdTNL)gq>9fONv_Tt?NC}C{?MW*;{f2n^KKvY%A%R>Xz!rwrD8Iv_xuj(JHVJK
z|0D3DRV8-+!e4&=TjPutE-Gm0n%jF~2}`Aftt+APl#mEtl-NL{)AlSS3<Jk!d@Cjk
z&{Rk+Ef^XLb&rD)S6WmNEZ&P_Y_R_urxS@f4-u`ZeClJZ^IjIp&KqYLUPiLledf7W
zGTmMKtG_%^;riqUnRvj)lqJRne^ow^Oap(u!!^|$*g+K8XgK|X$gfJ1Tz@Ug`%{y;
zyQc?AoBbP6zZK!O@d%foMgZ=$KjI8zP|ay9bcJuvH%tL^2|Re~U0;_O#8HylkN=y*
zx!~(us3uKAFz~NN5b_`)UH+IYG|~`6PJZ(5jIVz*Fx?sEOp65?+Fq<9eAErA!UVv2
z@$A%p-mwv0cpo5TRzBFi4)5t4x47Bs9?3KUDu#r(_kR;3W#ASZejJik?%UpNObVoB
zps4TW#4-NY`(+#B$+;`l88L(zX-~@Yy6w3-W&7m2xvrnAfMi1cuMSPb<B&<=9&S0`
zeBbtqUSXg_lui88Wv)wV7_S)ih5zOj;eF@V7AHEwA$6Rac$rzMAS3+nSIZXlt+PF~
z7(kl`K1u&4NPXyQqkb2ogWUB9J{iP?irbs?M5+Exn0cp4i{!AchKd?j-)q%o4;;B#
zy1hS}GGIFh`Dq83!U&C&d`N;VkVg}WhcIu%-#2%}RtA-+pL-x$_LFs2$i#P20SjX~
z;Gc!sIBd~7crJm1Id}bdEZmFr=ZZ9;X1wkYG`Zh@p}ej~qK$X|1iT~#*^R%#K6rue
zrG9_MBbWzQ3YSj~KO3;wnHb?1W*h)S)J)s2B4oGgU&IPwQZtMojkI?Z{O)`&|J6-D
zBYB0$<?dh7xb93c_L+()+vu2$ZGYYU_I*H`!sYS{8VhhVd%dTjg1On**%gScV1|QX
z4rnU(S#zifA5r&ptp%0FkL$wTK0iNkP;W3dNqav#IN$R7aT~VrmF)l`J`y@$z<zc9
ztF#=!yp^@$liP1ZJ%^?$bw>w&9>bM|93q<c1;u0AgM2+CutQow|1L(Ph2@cJqxAzw
z>!uesjwMKeMou2jowDyHRett`GeeVG4J+`%rVb9QdiL+6sJzOrNj86&K0Y6mC%R|^
z1)7p~2SZ4(^L_m|S-4KXN3cM|^fNfUC6bnZ6{n>G)VE6hj5UR8XtyLnK77)%JgjHq
z8_?Wigj5C<jWM@dO_oWfboV#Wd*2;UH+g@;M4+^r2cYEm`>&?H8UMQjs4&?*1irlk
zlXkPZ>(bacD{eMH^o}}XYpbNi<$P^*jX~nOU%tO^4OC3w(G*Di)C@BNrHlSexDW>$
z;uV*HDuuwj;lb`_JUj?c1v8fH*Ax#B|1|ZX+LL3l0!3qh+whRz+ugVC3kx$Q#Ri@~
zTI-`IO@<dvkCTEe>vuX)c$?wE<U*E4IRem)M%UhmXEXhiwTeJ(C)_{O9Tha)@eFv+
zCBjWaI=|z}yy-@797LJ@mbhlN7LiUXsBa%U*`I`VNAY7TUCOws&=~u5BV-{$C2L~G
z?FJA;3;>#YjwaS8MJW1JQ3tr6HUHk=nQ8(hl(f~m@Vk{CnLl(<MQL${Si2oGQ$oBS
zr5WhmDn?y_QtbgCoYU-xH}x5dZc#eRPOmsyd*2~g=m`6teED<W5bzAg2+>)SoIEAb
zJM%s-{asmkadr^Mw_d-hN405dybF0MLS6PCsyD1pJ78YB*WQP!RA^v<>f%~QOLgFL
zwNn>@^Q~i2pZs(FNBS>)1nHu{S4uypKB29W{b=rykfQzj?t^Sz+>5y^*Ucv5z^aWY
z9q=o1_p1ILYigkW#-x^{p;Zx|LlrWu+_<w(^7i8gYc%!AaeMpcNOH62*UcOSAp>2l
zXV_6lINDp>qBBfD;RY0dVdSdW7Km3Ax$EjjLtvrR!O&SR=HLG{4-<f%rJ-4qoI{1I
z`KBV?!bYK!uM)2FhMIbE0)0)O?TJKNxj)7er9vMG%19D{uZBW-=z#;-LpV;HiDWw(
zDZhHN^lg@kNaf(-zmg1p%0nY(7Nq<h6BOu3{7*J`IdGd^v%4aNv^?9L!qPM6{EQEG
z2aR=fWBFk~6k}e<xhMqE`7Bt3Im_G8(2BaH`Hna)2qP9kt(tYVPXV9gGIf}z#H0FZ
zrNfBZPW26cT=>qX3p0HnTmr56$J$GW0Jh&`T$!=kkQGo(B}Y@rI>IMmi2{h&`q`&w
z8~$|Gytk<*hK6c7)VDvM!jCq$W$U`;xB>X`99N_3W}_8wG^uPEz=W}Ox_3Wp<iv<z
zmiZ?uL!^?^_;JNVPP5VwKLp5YlGySjR}wtVdca-Lamgxd{jfPwlDpVaqsR$m<%ya=
zv*7W{o0eb7t(|AUJ<ob<LX0{%yEVlrHU6C}CJd(O{3{hj4d+|E1?FSP&WnewX_(2@
z)Lo$lKLfQ9x7c$3B%Ar50bJG=Qc?X{CDV4P6Q&UxtaPWtTY*chV26W&NdJ$0f%hHQ
zGg6qQ2S41%e8Wgqmnw7!&Dn#u{m<LTdD&IpfrER+U=mOx;ji>H-0wN`)YFOnH18W-
z$4Vk({N#bhJ5>^lh*QzOzgHUf&Eo7FE0Uelg{<I*v>sf4BcrCy_O}6_WKeNs*zh$f
zcXNx+p6X2QKYzp2zIuXi{w*6dZJzhIn`xQn>1`!rT26foB$+>-&_}RdB!c_qlAau@
zw=Pft3kalf7kRF&3TC>Xi+h?4R|3wwNCYW+8)&v4=Y|kbX?h!G{qP^B3TyHzopY&e
zsLE{OAOir{C10c?x|}`z`BW1z@K?W%y#RX1Tcm{4jATp<<VwY7@c&s0;=r-B^tROb
z{lcRO;&Y?Uw&jBE?b4p*(#(Ff{%1CHYPq7FRHmH<e!m70QE_Q_laJ5b+2C#icU=(_
zGmJpFKgu7HE}v(~Q0#oTd~LOAQ#MaTML+)XrT8zahA1N9eqz-tC=XqQLMk|ZQj-6y
zn7|T>E1muJ3?{)UmtVlesbK${iPWhrrufwZc}M<)<qroL&4EE%0U}hGK04HDu(u%x
ztCd!f;%0r5_ir8Lwk?K3yDNANc^D$#+WjSga>iwhig-2y)WruDl16a9+N3wpyjKLK
z&a+-?XW@P-?~O}chM6`mQP9`s^L5ns08aX7s&%nhQQmv+0}Hn{pu;2j^%x<`8N8jf
z^`}(o!kQ<gV1$#Wwm>Tjg7$$#h0Cu2H=|or=ZQKvyd;9&6aqdFHmv*;VVOSySfcO=
zZD4W&si;B#cl`vIoYFgVk|$qxPXOXDvS!V=VM?lSSk5Z_0N&sKuWi%0q3!fnw|e|x
zUC)4>$BmHb11&<7>Ys&gHZJ9ydEUm+0J&<N28{#m%3Mec1LL1ut$p3Lo<LE5Y$Xu7
z9gvHAwNYTjYu3@VP)7#SJvKa`C{JY6ps&SHsd{F4AX}^^Kp@0`9t%W5c(416*Kwj=
zWOA9dwktsLXV>mfw4dJo<Sefm)N+Pa{}d9|(@pHvE<!qZ^b}MyO7VUL6otuA33ff(
zJ`@+vPWdPF0t(Ny{_q}fjm|7t#jg1Ne{3ebyq`{b3}`Mfb@wU}CW|M&#IxCI7uRN?
z{uvp>6Y#<Wdv*5iS)u@1Wo6YLtp}JbBox4=`w8r1Uxq53BBCd$2T5<y)_R;<d*I*I
za)v|s(I5a#Jj?c9I!Jtm@b9UG7S!KZBkepwNlF6Zp0u{hs;}ads%tj`)6zCi*r)%z
zt?2A~7ng+YOte2EDvkAfysvIdsRKAe3i6G>dHrQuJpcA^DksM8r3T8*j|fA2v}7tl
z7RN<?V*orzUlhL*7oXwy=c_hgmoI>C?^}xzG0;6jXs&4-mP(wGve$4ao(wc?l`5o5
zW|V_B|AT?9>hq&^?ZiRy9cOAZovR0NQ9<7`PQ|jcm3lSCAIxT>L&5$LfgUKk7~Opj
z8tq2&fBR`Al{V6mlm82H+rR>DtGf~R@OH@MJi}f$%Rw0k`F40juG&Rt)}%Z&Ljfr&
zuX00tPr9K$>X?BtLd9n#mZ6IhGt!{u3b1b)Rh7x0itl<Y^1c@n)Z^=_V6VRT_y|#z
z*YD67urVUS{sCG#zC%q*VL=jJ`jmV|YrhTOW>LXjGS!znY4+Hw**lV_Md7?Bob_T3
za-QYBMC8F$N)~72*YmK_GlE<B&;I`G#}rWDJa{q(u($G?Nz!jj;j^x~49BEF_VQnB
zY_=G^-L5H+0P##b!*JHW;cbuqiZ`_F#lI#Mo*t0(rCcK1aNw@=4~flL1h14{c;nuN
z!6c{$9f6bgTfZ?R4rlGvTIu|Z+1oulY7^?n37!vM`~q)wNdOfU`s`9W8fG6IX|)Tv
z54=ycJ=FzC?^20lRTT`cJ1{#myCuY}Z_Ki`P@?daR?T@Obpn89LRLz&1b-9|-h`C^
zYT~Bh@WzFL8x^;E_w@)qGk|bX?yrF&f>rELx{);wmbSLb*9;AaE~(QWi-;up%$zRs
z=7lg6TE;Ise%tF(@DWG5w!=Sn|I+35BPO6(I8$1x9H6nr=1q<!!gC;9{+jh{3@McX
zCtXHwe8I#^{*eqN!dBarjg4bAF>l8$&esS{x!j1avPI-6GGuKY8d_2ObQ@uQu3BN+
zW3o7Z6|B%(E>Z3M0GRD?miy;`i8-^P4FuEncVOx)D_ct4{#S!I8W3;&gS0jW9`mbi
z<0laNXsA>K4yq9nhKkGYUnSr@F>?)Pw5s`TDm3PoU>w<lKK~v|QUhKsv4v50d@%(Z
z7W~}TM)t5fb;mB*^Q9cWGGJmvl>X!Fs*nH*mRSnU&8fbaS-%@-U`98{66kXL+%b&o
z>^nH1kS6tF_@LKIJelY}nDm?pTL1U1UC&1f0w4dkKB6$ReB3@)Jq<!bBCfwdPxdsB
z)af2F0-YYP_zz)F_<Oxxr632FsA}}ir=Jc`X=r#;-nz+mp*B6aha~0hO)E->qxNi^
zR0`GxO9%{TM(e(iNkM>wOm}r>xgTsHnu~wloZ<&3vf(&N3iiGy0N6?-7dNkW8a4j9
zjd9Aa;^at}k@gn^zBen!%W%Eq%`J`WJLL~^sz(fx@8R2a*AZjsBq8t^pCN-PV^7p+
z#Ot<qY}>zCRr_;rhczCcIY^Wi(RPA4_FdlUw+c+mw&X8VOBz>gtt1ELSNm(%Cc?Rk
z2fFcXN%vbuM18T+!X3-PIm_ZW%fgR^NS7X*5Q;%u8^hZYPAo01h9Du_f#`hbK5Yho
z7=?W57bwtA1Xv)!h*S(55kU!vUu1$P#%DTGzJQ;j1%#bp-j2BgJPO3R`R@aoJ|mDG
zLTH+_!UI@(>7z>-M1^eiSp$_$k4U4?tVSxNBe+S6qF+a&ah!Pi;iCc7;LMt-EgeSc
zZ&21kW%RP*9^{?nNkD$&UMjr#o9}wg!S-^CA~;aG@$WMs8?(q!y&PaHV4TPbD|}S_
zr3fV%{{+X{C{Skbj?Nf{S;gIE#Wp-!q}1^~Jdvc_ZN5YlbaNV{!ej+WRFW@Kr0MB}
zcD5QD$0Ylg>#rDk&AOsu625~p)nW%%A!ztA!}8Yvrvw_}ZRgMRMCu-Cwp@8|1MT_u
zQIQKE0D^^BQO3H=M(`(QUO}Jsj|C82E`z{T>@lf%m<LC`13p>YUuL>m2oKm)Rs9@|
z64TP5X!G~aXJNZP8iNF%!P}YmFAF#VwSTKxRi(kdqoNw?jSW?A#4x))9aV1670o}f
zA#f_M!Vx$Y!Z$-%Owg;%$M&;Rq@U+1*%FXJQQdCfT4q%Gf2chIP?84*@Sw~}-UV$M
z88+e`W#Il2U3b~W$|U?T`rMY>3TaD1JbUTylMx#B2wu2<fTz63itAB~Hf_~f#2y_5
z%Ys4NblcsL(}X;TA8eDyx)Jp_dIL_W*-AxP#^r&<c?}Z)mI?T}pI#-EEmUOheqpPN
zQ8~Gr`9n{nUIf6-e;7yBzjd@xS(>l`C*|+$m2Tv6*$@)c<3?K>&U=vvk-PEnLwKr!
zf=mb8%u5eePHS3<NE$;0yg&>bG|`<=W}WO$eFe7rLz^#!=jsS+%e?(;YH0~^L$|vD
zeEC_?$y4woBKRAUKv84V%#Jjs1$9g@-*l!cwTTDwMMjV89tX+hC|w)4I}yrx&OVnn
zb%?qOy%AIu-^BNS5i>ThI_LC5tFdVGGVoJ_l-=~t-^rZmgk-U~UUFd8f8+luxw5hb
zw7BW6Cuu=GslvELxwIiw@tsRFtxy^3oUBpn0k;@Mi@6s6E%`P?FU)#Jc^k>Ipzh<N
zoQGhHY>dC>Xy?b|q0<k$T}V_=5|mjjo)-F44V5LtfnGyfV-B4lcG3;iUCG{&HtLcZ
zV1B@*!ugA#frbGCCTDs3(U9G)f$$Qgk?bc`P?a2bku?7p>exoY+0F+yb<jKSvNs?A
zh8vQ-{yi7lDH9qFD-0Qu&Dd#*13>8C_q(|i4)&mNXkI+91Nvrqk4$fz6yCDLO%20}
z2d3)ftc@S%s&^&Vu3SRizH}D^Pf(d(nB+Zv=3=0EQN(0!YX<B!U4;p#P(C*2xR6#`
zf-d5tB9KIbUT%|+N^n_Ue^`A_3^1f1k)Ziiw>`M2&|fzm4n+R|`N&4c@c{tzK@q^R
zr~>TVThhO_cP1#@c__0@T>+44b8brE<=z3XE+3<wk8cM(Zheg6p?3|LY{JdL76FND
z`1&hg698q@z)Chbmk9tp9)9?1gq+iRR6CP?={;Up<tJS=E=96_K|c6;=eUA0FEX^d
z8s*QQQVU!JLSH;g({58Xo+}~u9zV7M8?V5hEOaW3tgw;(F=x&Tq3_FH5!#N;Fa3#z
zQ~xtMGz3)y@pl-z0J8IIut>=Os(ngGBI&0=!2MEY&P)ue#1h<O=)vDu9I@iMK~T8=
z2I4zE;eLSHNMH9T==uvt**LwpF{K4tPM7b<%|FjV7im1UD6JIu?g=U;#d`u7*bp+r
zZ_?|$Z`@PeR`Egejei(xI!+U6fU$N{9-LoV3X{J}&(8KME@spNY`{+UFxWdy>UfW7
z_zz7RWk6KKgVHv`5L9Ow=nLLvZ+hb2fORlMYM}6f3%Qa(BUL?U>}t%EmOCWqTY=qM
z5ZJ^dh$_8@p;)0gRlKis8XW0Be<CLCq)^cO07m2lw83tmZ~-G>gMT`Ogt!6`Oh6I0
zJn({LJBa5J57ijyHGR8T>zaE)9lE$+S;P8|^fbs73>tM=$rFzz&J*jk4<j~lOeh#Q
zK5S52vC=ZXPRfAAPlilLSYE=Upt#NgWKt41%-BJO9|BtTP&3ypzypO7J4K<B*Y0P#
zbK7R#fNlsQLC%6^FtCmvOhtOI8}{Ic&|B~4F((9fd~(!d#N=n^;wPP$Djs1UU#CV3
z;4@oI4HYGpHhMDNaJ*;x_Vew>A6?S0xHLN9yYFs9{2(<@*`s49>gMI=%Y~h9F)*h%
zW?i7iLjt4&^~B<zpc4}h0&UwiSUm!?AAz-CNjhl?4n`tzU4R2cNGock)Y*!DScZnb
z4v<(3Ja)J<;o-bhm%7*%8$c?2M;sU%5Z?fvr-8X5D2?fN@_{%ZU-+9mILiQPZH|cX
zqWCrVd_yLvK>Z&i?9uJDIiI^54MrTGhD`!wl(kj*;hc`0(*8$vIpv!Ozn7xk#Q_zh
zw5X8UXoTu#Rzq!{G{**B(=9~*PNP3yD>!jGnFyDpqw9++^@+k;Pj^A(jP_~mZycu*
z5n-~h4tMMFH?ZpQ=)AbSy*)%)PR`Q46f~m&Gy9s9^sCs+3$$Q^NeIB|+(7H8Mk_r&
z{wE&}+aBY;rIPTWandyXE9#Y9c6Sdi9lfnC=fxDiUZ>PknIknm!KP}#@G0E2^2VMy
zTTk0zyj+yco~jo@cnQw}x@Wz;<u>Gj%3+o&j0f4E;$x+pUgxqDy}o{P2L}KuTnu=#
z%^p0U$=MULWV^>eNLWQqmN)zGFswN>r0@0Jqo4n)+MZG(65Al_b`qctSC^F;*_Mt>
zd({0xbL;v+k>gWfvw!QUwb2kdFC9+or6=Q=FJ&q>$FpS%^j&Qy>u8P&bF*$+ftgU;
z&xBvqXZBaD7-GLpkO)wA)+l)cb|UqSPmSTo9}%|^HxQuxE%B%1h_qC!PyxbRmJYL`
zeM13}lWN|(IHE)l3^3=f0#Fg-PvxQCN>{$t5jxztXf$Zs{(~039p3M63Puk>aV7rp
z#X)DmUT_YSm6ag~M4v$+U&_jA`$ZZX0B*G0-Fl?DZ_)wouh!w|{SEv*xyj_I$&29I
z*k1(VkPuNF$*)C`H8n0?UA1qp4~_ejvQR47G3z|#Nqe%pj5ePlvjF&nblga$D4UQF
zvG44xP8i>6yyTj!oSYpm5opA54GPy)=9rM$Ip<&A!z?;=Uq3uRV1GCATo}-KW1~T=
zPYx|znOZqm_V<Bf%^DhF4G#!r<3XsWhe2@L{WA%0-m0^jjadVkD2SidU@}`3Lfn^K
zg$Cz$pj~1FYQDsW#X7qsR{%ZIsIw&lvgPj_tpS4_Ws2xWzH*i=FOfo+01+x6?TXpk
zvukQ<9)oK~bq`0ncYc7w1Jf-8@jo7(pV4YfF#T*o-XA3*tnFtx*b@z&jC}<LqeDob
zA`ZkZxsv5(DuoweF#|5ivo3nrH4T#wf$v7dr2ZNi*#U%j`e6-q0HOZFCEW;1%Q-m^
z)=maWwkT6^(b2E8wdH{QA>_7C5ccAS340uFfBXm!n;Ymo;<_9m6_zdo+lTfw6xWNI
zbwU{M@0Vo_7m<jtH)pNY^~Y3ikr-oZ6r;~jf~TF&YoUEG$88!{S(8q1Cu~V05un8<
zOp%ItNzGpE^Nb9~VLuqwEYO?^*rAd)3}_<PtT2llr|-=N7V0@Wdt_P5WpGEw%iH|`
zk&!&5H2*CiQ)*{AoH__oM}XmdHoIXM$SNMLR083_E7D4b`Mg=($D;Xs(W+PSYfa<G
zcomD99dpcr1yKi1BIhb>_Kv)Q-k`h$z?Dxp9mt%(0{}ov!6c*fS1cTvDcC*&Yz&M=
z>{_N#Y+4cutNNtKg}Atph<FRyG@syrYB{IF>W}udBcP51*=;%+x(O466*V@H4z~`^
zpReh*FvfopSa|%LjWfvMD!JWFl5q|R$5`7LL>^R-Q?@I8C9N5M5SW+uOIYVbHOV5l
z#SHnYC(JpB52JpI#~Y&wD;6R%N~_y{QwVFMlkLThFS#}|(okGnBW5%Dp8bW2%Kz5V
zvuf>DW0UbuLFk>4U0;X4@eMh&j*;^7M$WYOw$=wwp-4vd>sci7<_a_R!Tn+{Pz>PA
zIeamI`rff|LVEeQjWvB{g{lnNSGxHrT=)wbT85bw9vKs!LVPT`;u}-)-rQ~sbIXI)
zF&F8bdX`{EE*LmQ>YsY9?vjl#>_ogz|Do1TJYbzWq6}%HwB#wxr!~GFdbCX_cd>Z2
zBqM?WE009=e$@1NWElo<8_1Odu&^odqs8@LO1LNF51FaT5(RiQ*tq6&2Sfo9p?o~I
z3|LeQbLN}(Z@?-nvx0^&b(R<JLARUr736(SJ2tOoHwfM;x?nTSf{XwLc#{AI<|l0{
zgg-|JAlU5uxNQ$s98lA(9EF*Llfj#gQer0Y=EwI}4CWpko!Qca)KQZhu$|*m`5T~V
z<%7^lcfd!^S{GHwQ&^8~MxpHM!{nRXiSU=(9EhDb*xT#^4+DCKL17uV+o8y0+3nP{
zTn_C)YFK$4xcuTD;wnqk+%S(X?eVuJn*9hcx~>hoZTd>*6eEX+@33ROvM$F(D>ae+
zh&70t%CKTA{G*g+ZK@vH_(#Lj^$8{i%wxBGGd}>&>arr(^6rG*`cs3yq4J;^lt@Y4
zC(@!?^tH1idpks#-dl{T?^~Pd<*}xS|2v~5GD|E$xC$YP9TP8-C{)uY_I{wmzd@v_
z?bY11+Xb;z{)}jqNSj<E!@BSaV)BC_L}zni*_h6O2m06FGgGi3$(+xFJQVTMBLZO`
zCkCx{VDqql0?=qzaq~log(u>V;RW^eq{_x_KQ#__8N^Ly0Q<lAd${J6%38ZA+d*T2
z7oUr(()(!G0MPco0Xp9k{kGoD0iS`x{%Su2ctO=2ijyyA`_w3~@Anrm*iTz=yY{dH
za49He$Hf-@r;T|9!YQz-fsW#T_X@Sm=KSJUq_&1eGpcsm0-_Xcf|-}E2p}WMZL#)m
z&dy$4gctuP0_}4~NUpuLM98gX+CV>1@$9U>?~MvlkViH~_UUYzLD4|@<a7B9&vjBB
z-q5a{xujDgQMLUh?M@nK#eo(#BFR6~0E*&a<2?+6@8#bKc=xbAO}*K*XtA~GHp07}
zNbV`;xcy`ZT9=p;e`GP(hh`GpRtl2(-p-L<Y<+3ZrjdMD&whWRQSJxG9{c98^EU^h
zY%rV$1P?NrA+__>X+<bcT-h#!7Rv6{4;sJoT(RLlJ_|rI-X6zoe=EGXv;HJmPvio;
z76|lExpAf<RsTF(xW*8=*jbkEcnPcLfZtdN%N`%z?aaA(zCLNbJ2*>_p^oZHMX%X@
z{sK#x+XS&Y1*eK0x8$8o8Tq7EHFmZ7UdiO-q(#|{Vaz1T`}f#bBPwS&*vR7I=&wYT
z-}a%toi}42;A<7B_^t>aB_BI=bP)e>?FZl5QHgiLkEA{LbSVJ!o7rMkRu=n!M2Mv3
zDC(*){o2l+r&h+_WW#5XhRzJSmm}PQ{7uB5u&!qehXChIBLJGcd0~<zyVWe!MBQ&V
z)r@Pl)$ylKSBD7#f$$T4AcsKKYvA9An(V4zbK&F{7Qfby^)6ZTC&%W-dgrqwoWLIL
z{yq~U<0*qYzFrwSVNuNVc>cSi?|Ze|s0qrS-b$jWJa4#|T83MD*S3&6WT91StQFh8
z*-W2rA!tx#cvMt3Q{wA%Y`H|y8Iy|cHnLS5%}XW0*H8)vzJHzlVK4-eKIZyB;nHC5
zs_@_q>5-Rz*$e+h6>gW$7EKfM`%{IiuZqZhN}76~py*1*vtwmEP18@<<u_@tjM+G1
zm|Ii*;$#bNitqf$Xbd}$)c!kzoauO*Fh@@P%#I}hk@BnYwf2{E(ANsyX5IPhJguzu
z`^=m}BT1h{#Va2Y{#xg)D{c*#3M4}^{RvnRiIlQ8XYZS&wCP2J3a<RLW1(KcCg<0K
z?S{YhykyxGi23pP(79fHSSGV4B_Qg_mN{*~@T~XxV3SKz>laXRr?YfGdcxm0_)0dp
z@_n?Sq@`~>dcpF$fG@(rCxqZ@2A^QTK}1Jl8qT(MQCw(Sy~8sZ#n#-fD=xyT$YeR>
zB0F>|h}eRW9O&k3YnmVTlX>`&nTgj4DztnmJ^I=4wkMYXok#rkoD8YUL^dp6@x8W7
zjQ(_fuln9-+|^cCL#bgA92*9Lg3{1CL==Q>N!lO3c_c01A&`YG3|e@IZ~BZ{qw1Me
zofx*l%H|&0dXQHR!LB7L{NVTH)dd#et%cD~-!@d@j{?suUmvB?4tcW`vXn(ReW|{_
zEUaz)Sr#yVrDZ+OqZ+%EY#5-RWSx@vBWwWtE?#`tRz82nt!_2WB3!SH@<9^i#QkKs
zg`Fx_Kfmx>Egiau_#1Jne7SA4*%n_CH=n%U=bo*U=2lwC)~U$_Kg4mj2*5Pc$I$Pm
zsiApTN^-jmcTwWo<0|OhR4iE|b5?ZvWh*HFk38QwmTTQ-ezsI7CbR+{Iva$a=%CoJ
z&3)SndYp@{k-vHffzWhUFfz?GODp-D_)%^wUOpCD2#s}F)n8E%rs$eD5so$4Ak{wG
zxbrHPQ}9;p8%4cwzbqg~!Xe#+f}b-Ybw3SEoN{<~`+>WSy>1)n$QFIoqF>Kib9#=v
zX$CMb7dPG0E~#6+uXd;0&x+V(pxMO_Zw`NT#w^(T)v<#?j;Ua4vfu}fx4Y|{(#c*T
zQ)G5y;U=fU@$dxeqD3yR%g3Fot>ac3Yjx#nDd(gNZF_d7ox0c4=XV6)^SWO|F(42}
z4PDjhUHy}^%W?e-)&Xc4A#vjIj{33;0m&xRop_+)_;B@^P>V(Fb#Bg!Zy4^jJx>4y
z5yct|fKC9Lz_B6RSee(Z7rg~-w7`P!X%ds1f0<q(%P6vk9@IKXe>At?E`(PsPw%=8
z{!fIisw1h&&gsU~-Au+rBR!?e8p>9l2MbBA28{sk1F*%8uoJw#!U#0@RO^EYkkrOs
zrFZyu)Xc|m;xHII;`dff8lNW}*{igEwTUnC)O*xRr>*LEX0q9xoJWa^q_tzme>Fwm
zb>$Ed<tMr!Fv}-w@DdP+d&b90!RERnx0Q)KVBsPJd-1&1zv`Mx`YpnH<9ml=?UP)s
z8e+&Ig^z`<U2Dla=s~Erx1uYUpxE0RkIOlU%+9#cxtyp~n%IXMB`bXj27U*-(xNP?
zuhPogwyf1+YAbf)b^RaXE1JanvkQgxTNSJ1P8G?g>EAqnn?|h<z)#2)y+*%S@~1^l
z%Mrc)x~i_@kJU52I`r!I!UXBm_NaE+UL2)_)K90eZ23Wc%kmDZFS6jMiJrZ<{~{Hr
zMsefhow(X>S(LL&CvB4)=#6*I<u$+Kgb;_I?1wHZx1|cLmz|7{76a(f<ERGkNrMls
zD1F+-p-OVcKW03+T$A$Bd|Z|xbL>=dLCjKtMPR`ps8aW%D{uZTYZSf>>K8I0*gV-x
zXwH%Ss{5f%{?Vd;{y|%W|AE-shD*8PUR)JIq{8Fx{kk)%qqH&vY|pjsyxQpq_yUQO
zfz2K9f|-F4<kznKPHVlj7HJ-3?4H6*v+DG{(|09@qau-3p0h4IR~AC<Ruk6EwOKlm
zSZhzmN>nS3=QtksOMXX&KzyykZ1BLjvYk*+YuH-SR-4r*#!AyiK2xV%oV~D5<7XJp
z`2ztLtO)Af+?u7sVnZL>YtwHkeP_37Fvm$JW)~5lD2o7oS_94f)|YG9lz7+d;;iss
z<+sk4ne}gBUF@{x(|K9s%YCA(Wl2A|nCPF=%|JVQU08gZL|ip28#FOIBqA|=Gu@02
z#t}k>IWnQw&1HILo{p8yT+4KQq$3@hzD6yL@-52|8O$Y03<U?YE-pFtF6!@$4Xc~r
zigt9~)+wyLrF=J2aO3pCSp**_VSvp<6NfD~+VUyS=9;AqG!DfBi}cBQf&Y_k-P_>n
zZ{}dE;e({unwW8V7bS<lx}v6o^rKJ46r3jSBJKStE#xhlhzx7c)sVov9wOY&OI|fy
z=B%Xth4$P<Fk-xW$CT1dsjG4>2ibVe34S$6+T@Cw`QWasS5=-07m3d=z9g~~KHfKc
zVv*4toXVO(%#!3V%cxEU>{>bkXi$1N(b`(3pwMlfkc;y(;N5~tY7{mOKClK{0~OKg
z8*g@Zkyds~$IZIA_zkEljZzE~;}g>9#3DJ#I6k1f0rMIux<3VC=MVI5PH&2;hV<$4
z%q?0hi=o3_Iu+Amx>{w+CrL9pud}$A$c*el*V2zPWtbK4BlDBVWcZD3i^0i%2|M}o
zqW6o1{>1g<doV-QOkrea)p27Na*WWy)H7A{@cf}A^%rVchefmW@7%D}8dnYyc3OIG
z8>qQ1;osj8S@UpmGwG><RXhADp3}ufj|C>@g$Y}<xn%RplK>a94c#JH!`K`I1pN$-
zo@<x<0VKYGimJv;D$ZgnD`ZsU!r4OmtB;3YvS|ar>eJIOD4Us4eqS-*qy<CW&yL45
zA@}z9_t|l*CUc|7hB}?P#kQu4UqkWN!*h6dGmiqj8I5A#Nu<2=?W@E#5F?ma;(*p7
zHu31KDC;DCZpKaKTVpKPaJJ~M<Jv$sz*%j(!lku4&(K-nxYs7f`3)@~D94FJC@LvW
zUHDhgW-LbF5NneEX$b#w-Y>5uKgty#DoXI3v%${%`qS%d6o@F#TQIBBy{(gqTG2>H
zr9+8C{?j$GQhH9{+uj}IlHXW*Bs6_k<w6Hee0`IR?sE70hv2Y<Uf6L@XE?y*1xqvn
z>c|^qsby3$E<H+<5@sUki@^=C=9-tZWwIe6bkNI>n>9;Wk9#dn<FQf%ib)&kVfKXV
zC2Y@lj?TDhHxhb=sbp%q!^XbIg!|QHmO5mgV7&Ktye;=`xcF#gBL2Cr;-wBH_|Qo2
z{fP-}sy}7E`DUF(xe=gD;UqD%L{^$_8O`H*(w|4=e&TzAkwxUJ>)a#iW#bsEvY4_t
z#Ui<~;zU*o+gQl`zIHW|&KF%wSW?N{tq|oF<q2ah2J_DkRXk?;t&#2Htx2z+?zT?0
zMFEaHWR6fI=K*8{<@zdWe*Mqk8CB<qm6X4??XLbyU6nk(nae=4r@<3k#+szSQ9{;t
zVXo=Px9YT85uv&}CQbj0yC;Oj^=mAVhLxWiiqi!qF9R!kb1lXfexj>`Xb+MubpMGA
z6z#igeVo=zU&D13?F#Fb{S^`n>PvXjMjokxgY)CF;nU5Stm1H9-l6HB7}&&~aKlc*
z%eQl8J|j00asd0JYt^+ygUb{(I4LBOcmt=JhBIX`cz+LHzlgc=+Xd`#@Hx@pUZq0_
z#IH@;@=iPaO-Y0~9={S>!&Zm7Nv*(3-N_e)1kGBFd9wA549CiPF$7H?Fk7bZKN&fK
zs6avJ^9cqp;l8P1ATID_{`UZ>4^KrJuG?Qh=Iq<$Dgr)x&y<;HUN#iJ0E5IdHmdwO
zo!o5G97K%xlPE~347+TO7RenuJ4uP}Yw?4h*19N;f|)@Yh+x~J+qGsnvb3jPQu_l*
z28yPex8*VK&QEDc&3&N&?yuUbiR=C%tMSWg`j|-%H23-a+tGfIZkBrbC1TLPkqnG8
zGIf7a9?gbcowW5&U;bQ;n5%GfX+?JW!`HeyZuVGS&cjlOzSy}a{V-|2JiSoa!!pS+
zTS$$(!-`)(NRLk}ij$8)`GFBRf3+lRVnS%JiKP@5+BbUN{t3N=TGK<Tjzw2}%(uUj
zI&E^y-x{@gpZ!+kx(sXCHH_{oJ@%8%p%JI2XwMmY-180un91@=z_LSZpTfc+$IQ&g
zi3X3Qxfx5IXuR^{{qJ|9bei)!<7U>h`OpU-?C~}4GvtXTAf0|j)DS)T?0GJDE|9V7
zJXVc|Jz5;m@2B(jYD(_7RbQx(piyB1ZsSiS=~x?_nad`}5d)#q+14*?Rwe}jF3r}<
zp@NFaB3L-+`y3XSrek^@PiMKO+ZH5Rafd$j+nAbn*R!(|<3CB5uufZLn$K;ZZXLqI
z%DT!$p^*nR7J}{woA$$LZA+ir3$^+REB{;#<;%2?*!~Uq^>MRH_}pE$C1mV39-Oq?
zFT-`58^}8vywBc&PePhWVRNO)|E->v>HiX&3#+j1&;eWB>W!gTMhklrI5tREqBrLs
zyDI|t1gcR%EV=KYZ)t28nn~n5*lLs=nMss#DGwXT3l}z0FDwWtvuJs(EcQa%R|7<T
z^fnWJY^)Ouuf?V|E`Qgi#u{#2D}QA1R>_{K-H99gN|Ma>GVeHK^Vkd?jI!PcyKlVk
zz=BtAax_<%1qsi#YQ+{)w6IL?srwI?IkxJX54|8r7SzH|m{+@Nk7~#sQWF@cHaH=X
zfi^h=06)>i?8Xd+@@)x$-GT?_3axK;v<uWvn~K52tOUFZ@k=v8x%&6rVDH1uHPyty
zoc$_?6`_-tZeznS6Mb8hB%4JyCk<yMEG9CS;T#AX9$5%38%MCcJyw7%b-tTW7Z0-j
z)L~N&{ZX_`Bst>-w1NM|?0t&=`E?|v&&!&o>9v6*w+z7ty?w^WgHq<2UQxT}z1(is
zxkG({Q@U#?F#zPr0h{FzEO=WV3nmP%@?4ugR_tqCuJMe_?h+NPwA^x3d*A#Fi(0?`
z?Sxr!S?&*HlO7YlI-|ZN<n<vR&r+y+89OG$$p}>*-H)L#Sf~tXcnr27UFp*EOyszK
zS3+y<HDi&9!91N_nfEKzJR1ZZl~qSK8ol)3ak>hk(F~?jNUq67+}*Y8ud^wJA^cpa
zGQ0vj8q&4<u~6ql!N&IgZniw>%GF;N%ldZVOSZz<;1oKll%;Cc&$B^3L6b&?Kj+Xj
zKSsK`aYMX<REh7tTrn0yK#IQ^2^-{?4Xl{2aQjZd2(;Se-8YW_Pk-1eg-Y^cDUqNq
zU8iZ^7Xn(B{18E~>92n;sJ)2MCPXeeSqn#|k`ZZjjhD>p`CP{j8_H`Gv<?Pc97lm7
zZ<X7T>BWt=iJ93}!&d3o@y1xVM~R81R<nCG=x|X0nqL-VXN!Bc>f__%CklHtl(ycw
zgG_v~v?c^X)Wfc@;(ZyIN_!h{`U|Cxm9sr~oGHsEC%T<4l9Ho~OID?%H}4~TEmGlZ
zf0=zzI<(|tp(OU3#+6fIoj*=yc^i>q2>$sh_jA$>c+l;%HE9lbO!mA)iEPIHK)JWd
zs2d6Bzbajw?u-F$X_#B{)Yb$LD;47-LQU~Ho$l}J1Fg8!tgTBydrswMP>*!~^BETl
zzYmKU($?3<;;H0wz0EW8?nu^I?9+o-YlT*=wPd@br`l6W=BMZI^o6JS>4o3;I0YBf
zc20>wI)Mx&%z<90J;!e2puyBi7WWMbY;p)&uhIdX(P`f63<&fyX;n#6NPhWBIcGn>
zl*nZnyE>d!W<HinN42u9?`XxHWZin>tm`ny6&!M9S{OULHuk=DE*DMsTr>oS2|8Qv
zpj0jcZdGZ9VHu7Wr_w;;A$B=_Fe}r|bN6ghMNa@DI7qp)0-LC_r0kueeW4agpKo7O
zPQ^K^KIQnsGAfH$Rw>ZRt$xNE^eTVN+X#CsLe{DIv1mcbPw~;CM~Qq6rrPneGHh&Y
zm!sj{*`O_*6sS#30oJhlxQAarz}9M#jqu_@l68X&sptL&ZmXZL_-&na?AUUJrgc*F
zN<F{A#Qn%Ecoc2;w&d|K>937pmNFaY&7Nn@$)gD=FC}^Lc=l&WpE|0}SM@ob>B!0j
zMh_V79TULr_QG4B$D`Bg-AqYGL$g-yP|^#&z;?0Qk1Ni&_UJPbWJH)mDdse`RNd~v
zOzX{cZq3Y1<lHM$(T4ZmPYAp&Lv>Ypd)?G7y9M+MD@OBJlQMpYPr+rOv?8J|k#_=x
z@wjoAwT7f*h<z~9(@UkKqo7zScj)Wuv#;0bA08I@V+8tGs>wi?`=XT2NrY|$v@CCg
znu$eiM18h}uZ3%62Y8C=u2r!owqGfWWgs=j(3cAi5|&g|$T5#Wlk2`+?sm=72?`b-
zS#mH5-592(-qpQ|%~rjX*vOERqGjlt*cjfGTMrjK6V-p%fObhS;&q&R`|~%qBkil=
zva+~w!R`y`%&aURW;_+4U87lT5fjU(nVBILu-VU0CYa$Nt)c>ru-r0tmlN>)?R)!^
zi*f9=`84-RT(P<y_-krgxux;-#jQK`G~)%@&D%;Dm7{MOV=B2s{BvB=4#PJomuPs?
zR9v{~jVDoY+?K}PF_arK4p66gs=Pk@A?d53mp%_05H86_yhcbr>}Ii?^rG$^&f<fn
zMVW3#t8~=VlHo$9@kFS-i1S66nToO4U5gFzhMac@KgWK-9X~$qJw<%jba+89bK_lB
z`^IB{yRgnaDR}cV|9hp<qg#G#Jh=MzQs-N&jg<KIiLp?oMrfx|^eRz$^tyZw<(KgV
zxFu{tkNxi#hliL~10`V^)s-(>FW1xyPtLJH&&b~)l}@7teT8M_uf6g_n)fn9;O8EA
zVXO<oR&+G!(%4cvED!9gqhl2%u@jb&m)Fe;0iN1k(C)<vFyX(OR&D^LgNbs(PJYLm
z3`RMjTm95=kD2?4ua172sBWyPb^H`u)bdK%D-|h8Rt^2#tBk?uy|=xmwSNB211iDh
zv~#N}TH+Ndnb4R-+r-B-;mSrGPo}M;Zhvm}`-teZ7Cf>%U0+e?j?Bh*ka_Y;PLh^O
zxMKLu1&aMYcRlC!XND*n2Zw58bXr<j1O-~E;+r>ba(j9tLkYMF=gxjLI2D0{BgGi!
z2~bb27n_2I%z%bVCzplmx|%!Jjz>wtJ2tc`5oT#fH`Vm4*M%ZI>+N9#=;hJYyfK^7
zuM-*6=<KFtH(X*b&j_>1_rIggmla{DHJ*S(*3{|EpfP$Gep04(-dnm^Yh*hU*rgb8
z0(KybR74L{_Nwe19Jl}}_tVhI>S|4Mo{&~&m+15KwNwv9(E7ksN)`@66kw7#({g0e
zTyf-9QnC3qWu3Moc4VZS5rsX+u`{PCkTORyhmOj+P9?IJmYZLdUuD5H``0wFz28|=
zwZt1w&BFPXt7?KKxNg4A;}9FPsak*P&kc;QnXKCbY6^{Fa(-16XET6aT(+Zmr(;k^
zN?WAD-vHTYaKm&!an$YCm7JU$xGQ<LH&>)p5d)yrGbdn`0;ePdG~x+_+#PMT9zed%
zuT9P{g<F{S30!uNyc2$h$4`My9XEO_a*E*BOV7kEL1)()9qE|+m@+(ug1jcGaF-u=
z<j%PmcN?jM#B0;W(t@M&>Xvk^NXOL$jT_UR0s_3P?Jjzl#Y(^0e3g!egOdwdn)4(I
zxRjPQpK1-pvx$L9zScLR&%q%fPC$Txfs3np=LU4qnmSw=I2jQ`gUM4zW^Zm<3?^_$
z0U_^1c9Y=AQr)6z%PErMWY7UX*JaL$W}Y9iF1ERabW%2mwiT18Fk{0**@$JRl}I8i
z9T$FG09DELZ|J&zBOe{zxSOkf1OAe@<@Z;|8$QtRSS7b(hK~RfwxsS^;35kec06R#
zYtjf8xvl%{ef9ny?_Jus3%&Q=US3|!78VwiGM1CYqrg3(dML@tB7tb8YV5Zc=~i{g
zostbFHuqkn6)Y;}WH8Nc;kfj{!sVeHr}BRd0<2gst;|-R8g-CDq@?5TDBTMq${#;J
zEt_(^Y{N_8E?-lafCc%!1{}qwr6coV(Q#*hd5a<jo}jtCwGY-&8Z3RP<W*zT^l5Eu
zN`KRzU%l9(Kt;xDuy1>GIho*c61>qzvjj_7Reh7byR4A+uDsAUkWE&t?9E<>Mm$)t
z|0$+J#-G`EDwSTA!2&;ra09G^yQ+`X`+);TS3eM!S&mO&=Vv=M2Q#$3Ql7KMb~`P4
z{wfci;`#6gRcjQnD8{%_BKuHDlvYLmlD%Et*#_ao#ZZaM?DE{5^Yv(rL6W3G8x)1e
zl#PDavf8SEVEMV<Y%0<Y!;N@1w)ShCMpcR3XV~W!uiv?<d1V`voAjDAn$UG~a&jAe
zWfr-i@v`?42OfIql%cgy`SXPJih4seD45rrVC?ui{@H&E`-ZWELRfMX@<I$a*OVW7
z4n@VDmB9ldYRZGCpafJnqFn$#FxKSOpRpY|PDG9RL_?M*S=ND)ej+A!yv{1;SU|4t
zMv{TC>1ONh<ZbA0U!<ZrSR?=<mX)bh_4fmbfe682<(8}YFB%Su+qb*^pVGcO9Ll%-
zTcor~DxydzOSCZ7L<w2Oz6+`Bdm#-%g*Mb+h-9o|-}k)~Pb6b!gh~oSk{L1#?|F~!
z^S<x#{+{0-@A13;a@0N7eXZyA`CRA8_*!xZSnKzj&!J6>g9@>wXt6?4VOn_LK~!8`
zvzvZNCw5#;NUmJ7b9I|`NmkD8j#SETxy;LZ4P9o>WC}(0G_Ow_nAVy3Q~3~JKLEFG
ztC;^qdzqWgEB&YdPcioOz8vuS_RRAaI1`o}gDxWjoVpCADRIl3&7i)^r(ITAB8q73
zX`J=+5_hJ;b`jwdMxr|eQU1;T?^|y^#0$Uqy1;5|JYhiRP~XXiju}6H?Va6ie{;hL
zgD>1qx!N?stHQz|Hq?IQkue71ISab-Ej!p5r&JvL-DUyHLDZ?7&uQoGy!PuqkV`Zx
zxbIi!n&5F;RN}Zrj=^CqP43h;Fl}cSq=(&<7Nb9hI6He5{KV(976`H}_sfWyCnd<Y
zxJiVjYEM7zOtrHNydA>Lb(k-MfDDC6*R*TRZx_?W@;mdE^dNHJL4R>lMWNjW%K%E}
zcBWXSy>-hvy_GWLyGH`z@(;{bwuglSW(BCiy~U{#JD-Qv5KgX3Ip`o23&t5~i{PGK
z&f{@M=AL^`^?4y5P^p6LfY-Y%iz9#1`_*@$&YM^p?wyt6(~)}0@%}dXZDPVpu{I@z
zcFAo;_aVL&9=AOrBC@gBpy(-ESw-X_9YrUScg8otmL1HDNnwXzC6UlT>7FAw%1Vn|
zn+^{hH_-a#%+uF&*IKpZIgR?%;O^bz{A-=$IpzW~&mrR)6aC@ys2bnSx9#fV21R9u
zd%nmy-ge^V&v|y)%*ty>`NSoeOR7j;L*QIc>{i0&r|r8WKb-Li__2&ye`W<Cp}G~c
zHiWLnbqoq2IJhUes?hFMdAfwOn|0Y4K><V21>LZb=wfvwpatghG3esSmsz&aK}*1S
z2>)c_Q?;8@&(FH$8Lnandtj#UWwG`*{B-2q5YDzLEvBHJc0E2KK_=x@R%TMyO4IWJ
z!=DSV@fV7}6#teZ^C--Q8?q-Peyj~={H74hSA17aLB}9xrnpcNTJ~L}$*n&Y$?G2l
z3tWe2xwoo3ty?In>PPlovt|rTg$+=rsoU$NOMWIJZVJNJrb>52`?O1m@zm42^pMc?
zOb6Y!&3drdHa6W|>(({~WCmU#f}jMoFBQelR5ahy?3ruvG&1+UssGE>0@o;3Fqk+R
zNAtRqd12h_&QO5);69{xMBd+f4ymMY{0^W*oaT?8?a8dXnT!jfYL0fz?Q#mbR{>v}
zYEg<4%UkC2x%V!_X>zw_Up2+wUbyz(Er=t%l^Qd@Q`K0R^h63hdS-?Fq)&811s_D8
zjUfmfWT-FU`6cP`#}{8^l4D-rUkN-;d=-~{ubbmy?h(cm{d%Cnp^~C+)2Oy9Z%|uC
zRraJUeyBR%&zkFuM3CjxbW~lU>O1Sn$nDAeM|e|3RbyhMgbZ#NPE4}hXxN;xc>sCv
zdj7ZQUEeDY^BiRB4Vwt|{kS}U3ABti%lr%@7irS!j~t(U>n4>UwY^Qu@d||LPl$<k
zzn6AE`k;~m@lgEWNHtY62(K_Kp<R`-a(mcq`$o5;1@4d7C;~hn&E!|BZ~u7HG+#;w
z$RpDBSFk5;o)D2dSO3%sX=M`x!kaDn=Tai-xrFK{4UYucby5cWKJlNSjz!%<qMHEr
zvDZq9f5;S7-S7J$K{`_-?87G!hOlB10x2>zi7QMdT(6Tpc5RxZ8LjE^x~D#{<ATKK
z)%+e@^2?UF@YbyNuI<k+qxrDevDH@&hxZlPK5OqF-?V7M>|}H!2oQ%5o4o9s6*fM>
z!iU4}Vf`}OlhP=EG!&_{%Ah}g(VB*7;#bWg`SLfoQRWMhS?3Txjmhgg2uqA`hcxwX
z*6L){VTF_Xa?BPbduEnpvwiVji@%F>^2MYf!qt&6YfK6t&{c{kZ(7G^IIUui>uB44
zw=UT487Jg?%QUSJ?7xNSh1pLG+26baIcat{`<wx@^tX&SRQ6Pe?Ni<--%$-3b$_0Z
z`;EPQXsT^4mv+vY+{saU-8dM&mYXkRMo?l{7$J@DwW%9Ay+ukZ^Vw-0dUZt$2^S8o
zh?z_k=-U~E?QA%hE2VVO>{0iUa`K5hO@*K-I_>?GU4AqY<z-TN4m&j{q^`s`<(Iz!
zd8wes(l$qI_RWqz+g9l9zgJ?vE{gXqcg|a9-5m;$(0ImNG7a#$$i8?1smhf>m7Aq~
zp*d|1%?Qj$GB-}wd+KUzIO;=O3H9dSiQ&mRo8!$R>yz<n?@!GtMt7M4VOvjSF8x|H
zPnoq$t1wA%N&kv#LY0^CJ~=00Z}D}GkDvR5Xn(1AOF2LY;-lr_ouwVan22JW+08}e
zL<5!skNA%VukB;Cw7GSn-GjUI4t|e^txA}Q$HDUYM#;Rv+BLC$SyoHF1fjZ4;#8j;
z0?mA|c-(&FrWO)*0x$G2^gtNA%Er(1+zXO{8m^-O<pfksnI<;1JS3L$Wons`<bX5b
zYUc0X*)f>cgh}7hwJk>PQLihB#rXDu`z}>G#du9DgTGgB19t-@FMbj5C;*Tyc5|#5
zAchu`irH5yIbx@IR*qhkGQn)oW<VzIqN!pV2Syk*Y^foDz&2&42q)f0_YA8R^?bP)
z^T5(EX583-x<%lcNjg}QV);w|A}a^BFLp~~=sS<x@WjbECiH+}0(JiEa(rv%dvbZ`
z+0v1rR0Q>43ekssRJ+5|sK7Ls_6QeS*e6-nUvK-^j!abghBk_Mi$$ew9EkkXXll?c
zsu5^w7iX18MQfbDBgEH~la~9SrKO<)eQ_jR{`kj%Bixl+Bc^u%738v*gn;3~3%4vJ
zK*^+X2c*G6b6=`%1AV%M7BKoVx11Mied{Go^6`~HwU&Fw2!e&y%V&4jLHt3yZq$27
z-nO~#M;cF1HNg-9?k4(^d$r~a_O8mNZ)a!QVjZ<q6w7_s!wit6%DrwM8Q);K6rsYw
z_Tv8AILr0-%ncLcCyVT^_^Gn6;2hpZ_m+1rAMy3E3owzvR8$J9Tm>n%%@aR&HK9}A
zrQS$gkzf=tyeIRW{K(su0gi`{3%w3+4Mlp+L=oNkM1@PiE9hN?dWXox7UJ}lx<aj&
zg^wLS7lM<<SyyF0O)lN`k8E}yvARQy{eIc3`h=sfn4=RGB9~^d4}P&T+ER$RyhUyc
z)i;c^Mtw?i+K8Ziw#`vdG~;x`8r#VVsg_#cvUo}oQEpM^dK`0$vo!f<3jyfM*=aQ(
zmhU9@N3u<$XG#i*Uir-S0Yq@P=g9FW?tPu**BQ-w^{^cX^()pfQVSS#qW`j|WjiEY
zkV-sorg7N7V(yi~DNV^<<0yIauS*+!pJ)QLu9>is{H&R}jtOXh_e318q(QH9gLN+J
z{{lc79^w-f4!NC0MY<{T{ucc4^@NJomkw6^lDZxvq^imiexfeiiSlLf;9-u_Id@6k
z1#Ly`+fu}M8giW|Ii+KHPt=QYM{Qo>j6X|XDoWfTA)DtMU=w)r?-thsGV}hgjvN)R
zQY_O->LfnT5K(*R>*mOat}}&19n-&DWM)u;&TH~l2mYX+jh%B<ojLiVWsUpzvrD_H
zPDRFOb8@Pa`}!<gilg-*_*paA*&DMfFDcmlPm)GMnbgNDN(K&%-k+q}g5VbKHN+&(
zt$pYHXH*~94s^TDwFhVikFRHpp~Sx{zo=kw563d&)Wt36Z(Chcd{dYD<fu-stt$BM
z3J3YU>zI{M&2d*eUKjiNi`&RSd3n;C!hbQQ2(KXsy}h1zFQ{~GhlKdwIvJ9sjP%*v
z$@bx{*@7$8g8^$>`m5=GWNM7{QM!ssH{u2d(18*~4q#yKeVO+82+!Upx5e@s7Gn_$
z58OU(W;M!A54|u`4_Y$L<a=(j<cAYs7C6ab;TdJ!22H}vpyljA8d{q_(7NzF@6&R3
z&(VuNqsj~IEISU^J66+0?rdc=G}Qp3OgAxh>*Y<Mr>u8Zt5(P)-HgAkqaClYw?ETy
zy^2QV_3d*dC#_-J$rmJsuja!+#%6fcrOre37;QcN?0lh3`Vh2t<h}}rQWW^*OV--d
zE~Sn}3;u2gBTJRqbIw>vIWnJGE$t|khUJOIxk(PVS}o_i;eFnBe!us?%Lmfr{5M)p
zZuyuPG5W=XIRYbOL!s&_yxX2ynytSWV9hlduT@XAb9y#SjB_?~`uwjX`zn5=-JcB&
z^I(XSH-nSs3Vz%G%-&i`Ms1w0J4N*4W?OSA_(vWeATrI>kVg%`xw_ABkz5u(xQreh
zb`TM`CVH~IN%H8u7CW*ajV0@e>v@Jt1<W;<s>UHR0$2_sV^RWw7XiL>y6(VSC&|#-
zOg@0A)<$M!xwwy(n3I<pi`bL2%E!m{Q-*~<5PyfDW6~m~Us1GC(u;<1sIA8OlLL7v
zaphqVte{EE>JAp~Z3-qMm}tgK?Dy<KH-vQrGO*|({?T)>qM=+pzf%JmaVbs@Oit^O
zjUDO)2+q#+90iXbPe@Cy@~E}F&Wa2}(N+QGY;4k8B_~E<Y#kE{>>VBAdpKWd>3KO{
za$w#>a+#Q32{Ehr<ft^~CEqO~PprvSRN4{zhB|+6h6}Y2n?o``aEK<JnPQIo__~0{
zGvn5>@k~{oczNR&LDWiTWx%j|xZ$@~5^wA>&XJhkT@lt$OlW5q7fi$*uzRL?c$b|Q
z%}zUwuA?l;;zs>jj9%{P=sE0Aed7J=tg<qwS<)UxvLWG7b>gVt50Y~tu5wd0i026Q
zq`c~Wl%&M#NaM|ws^tznuF%QLFG;M+ESl1eFuOOAl=IObD~AK!{Y17)zhQ2~rIau;
zAvT?^rEObZVG|eGSQ)^LRp0xhKQ^^f;F~Btjr%Uc@L<|^Y3mcV+PS;@<gTQ3Gu~tm
z(M#Cfnf?+~&nu=TqulPE3Hj`adga-2Q#6qXYfh;omUo&KJG8t?ehF+Y#T{4*d`>}8
z-`nNjwB^~lzVFgEt4^U8_7a_0eu$mIxQ(nf20ROZM7}fmvF2gJ?#Z@iHiw}A?6H%b
zySGwYe$7|Z)A&hT9#_u!B(@dKvo~pQ>ZWka01%Bl`@m0@6HRKu*ap+r21(y2T3^Fy
zD`@LOD0CTteo01=H*51niVVCc5LdBE{n$QIey(2s9sz-RSQ~vt{nsb7o*muy?<R?w
zuqFZy$MEm@*R+ac3-xPSPJAGWM5}K2(t>!D*6!=aBUA`b>ALFpM}8yLrRZSuJ5MX+
zgA5bUEI~MjR@>B<y}xc^HjNn-ewYQnyAv&}n8sT#a$m`)CEz4?zDnageHEXO{Z~Jp
zVUGYLei{GhhRdH?YD87h;FI5h7Jf<R>U#<Z7w{znn*$7DAAEBkGYliQ=#T6ad(w~T
zJT@b2s^?v-Puu%o6E~mh+1i^YOXbl%k#CP|EU3YllBN0F$YRlUY19bHdQfLWExTh=
zkE=Z55czg2^0h)|@Xx05bJtUDRyjMxq^3N>Tz1@@y#L=HB<|TKlGce!&a1da-f%K|
zD6CnFcgFt+`dM^K{>G)N4BG~rxLwR@SFnegHnb)DHjE-UWZrMn2~zgUazJm)>&LTh
zPM1fxN=Y;_U0p?WRyCi*J~;ILK9S_XznBp2_>A4xnei6WR5;s#)$Hi1hE!R<^ErDs
zO#aC4IgHD6Zrn}xX|+A@_0ewMyZ^kI1#iLyZG!B8Byqd_22qA!drJ$OI(s5X@~D4-
zgHFACpYY~j@kxUEvn(!T@d}^LqKYi%<ef*uzsI`aGE30iiMRz@h2Ys`RqNxM?P4Br
z?mSQhk$u)(hnyCFbpBbTw}1LH0A(Br)4hbMRX&>{v##@t&uoI}zH_5>X5QZ33iI`g
zKC5$8;-aF{m)qY8_{F>R=JDRktEe2!Eg2Dt5QuknNjt3;pW+*@+m*;Yvwu?y5nFuV
zo?(?o@{do+;t?&WaL-UgOiWAMG@n?1cd^`a`~pNle^xJ_K^w`A2bMwX*>}LgaT@9!
zn%=wDh?B6&f_#uywBsdBu3!JQ1C?Dx3v4?+H?*;EcAT^LR87zp6oy62hs#Ozaz)_R
zaG|7ae|08@y829Ff>Xagj4c%16q!s7x{xsqxNEDw>h!|xoFK(4&)MrhJjGdgbmv=?
zNe8b70%(aA6>Zy_k2`H!2)CrHZ+#G^(dUCtx115uJl#OS-dpLgodFo}0bB$O<#aQg
zpIEM;mK_a_ZF4B!NMjk$c*S$4#KGpTl#JEp*qb%We7|=>F>s@c7egg$zGExT7+|ko
zzfMW#r(d~{q6g@j@~<Em;|a}LC|XH+ds(v<G9bs{a9Ofr{;GV@1i?(Ii`~~3wQ^@n
zZ_K3oIuvN9M=kJJb7d|>cGGZ#lwU`G-%#>ZD|ATN*!6bPQDxey7NL$5Dz?GK#>Ctn
zsu{R}WFh^bl$e-E0SH7?T%26|;u%arPll#t>CMLwInVN*X!Xsgx9RY-#1wc{&LlBo
zGydh3)Wdld!3+cJg&0P7$*14@%r*_5kg@##21Wa!v~%aqn~7QHq@<$#8>#*_He&!A
zt8aH;y`xb;<sXUytAK0c_Om63sR^Dnq^BL(9yz;}C?D0wzvbaJ2-)&YJq5xhKvB_S
zef%RM;d@!1P^naGB0-K{6TqFBnVG1&(F2Q6s9mF>EwpPUJ0nAIaG>`HDGILAYSe|i
z&aPUkVFo-(10R6@cNmyv7(Dx1vTM{@O)dG9c%R8DxfZ8&_F@7OcSgV&<a_@I`jVx#
z4OAY{i(q~~(EUJzH_Y7Dwy3(g`o>tgug^rc`mstrWfEKKM9C@Y-{8B3^Um9eya;6W
zV4cl}ouY<c#RE2_VLKCjlr&l68`L6L5M$23cUlDti~R8bYz(_qR#Lgy`!Q=yuBSGS
zFB4lbjC7(cI$j817e2p2syR6zs&(4Or7zonROT2BXac(egggK#5RdQ3d?Bdemm$4*
znwhNes-fTBJ?3QWobf;-D1_>%XanE~;Wb9<>({TfkWqIeDjtV(f%MN2=ogJMxp_jG
z07=CAHk%UxPO%6J3#+B{Xixem=w&GV)2f0&#DM<pUAuabG{K$8ie_*ztpL(@r$XA>
z0`rnfkh;4T&Qn}sB57%TW$~vgBzDG3rA8oE!zw4tu6l<dKm!8eh>3~y{9TwZ(bvZx
z6gL$?p-dpBcL0%RQwcL2^H+c(R@f6d3HbL<xm-UcoW+2kq4sD)=2cNmIRDvznDjPA
zklZkk3e*?!0_T*L8g?mf)XTV&GAzm*oIhZNwRCi5y%;ek=)TW|mQu{%y42*PQovIW
zMmTeNVU7vIg21lGT7@>U`S8OQS)D@DODZJVdcSf2vxM=`BoXcy<C$YzIzax!k0Q(%
z##7F?m4W;j;wK1<A;v@WK$t0vhZKp>!jVU%4xw5x9;d2eeXf0O;T$tNb#?zYuDpo@
zD-pRiHxGXUB<ro(6K-!|`V;rh5Ajvk+BdcA|JUba|A%9cIMv5WVf}B}9wR~QMT2<&
z2dYEK-`b^Lqj}ZUa>-EnwU)j#5*HiW_qd;>q2mKZ1DHe@s!PGu8p9+RcSB9h$7}bR
zpj@qV5Y5Lrm`;Th15@`+nHp5jT;OLnHZn@rmaMr9`E-Gy(S5s1iR=55&@oZ-ppvw-
zO9(Q#4&vAqvH>HA{l|}ekhVU{wXh~DCU-j~{u-r?zPjuR_ew46{0g+Rw7%b}iGA@R
zbv|f50NL91RU?WetSa-rNv=iC6RnY?O7|qlE-#SMMTp?TT!ECdv&0~s-o7-or{zA=
zhLb;kc1+%K1{s+s>-oB;r$-@&R%mCAvk$9%H0Cy1>x%$>NA^bi*YkjK{Pb#KtVJ3<
z>OT?L-r3o2;h3BW$#2D#m2Kx6R|^e|j4I#*!Y5AnU33k3J$G~UhLKSWV86nk9w9-u
z)$s7}A4~)M(gbJ<pX4TXH~fCP>&dfcvuTI6D48KM<qKEUT_)S(T-@A*^tX~=hP;96
zk|^aE1^2~KzB9&qjw%>OMn;k<T;t!iv{ZO~eXHxSgSg0=u6*dwp&8&482kEGz@2aD
zz`tJogM(!H^0=9W#Y?C(odc7Ry~~n?;s!ax8$syAJ%4@-<juEl-@s&m!t6E@R+Ty}
z;d^?acD#wDWiBkb1_F43CIOkRNZ4Zi<`Q9HC2$~&%f>14h<pzXbU7(%aA3fa%QmpY
z7w+_1!R79@hAzmrd>t4>R(C#o1D@<KvH*u48T<egm>v|RvNUL(p`{O!D_;A5+mTmW
zODmp`9rcNcOHOu|xLRFoG_xHOb1mos-&D%R8Ugv&hQHsQn)>-wA`5UWeh)?A&CF9s
z)jt52w_VW*XWoz+gH}0GSiTJ1@8_Ry+PEjKs5pXIU-`+dU}I!-BN_NE@N2&a<r|@m
zQ!VVuZe(#}&oNpCt$eh$O@lw^CemR<4)*u;_4%!hZ>--b`g=DHbwIJZ)|YGy0uI^1
z!1HlZ<m2Q7JwK)KXC=_GF>u9uzRYbHZlN5#^I4$f3@Hi<AoRl(>|S2adV%OR&b4h!
z4Oh<4Zut9GL$-bgkgZ4k*0Pd3utM%b#R7ldvoz=wU*NYgF*TiuZ(7TgteZWDPFARp
z(%Oc}yheQwQ<n#fD_9Hy<WT5q`4kaW(!Ss8{F|9*5bao>p`UhcZuzax4hw4L=H~9a
zKB+P<?c5`jnUV3TPsy_ERmwVr00b)cHiB+)F0u)0YHGwpMdfoGAMOvme$w*)=H*0j
zU64khrr|9kQ_}&vjkCPrshTk-a!N`JMk?KR8TPBpA9%Lzf2zP1XCAXnuJPJ(+v<Fi
ztzVrra-IHx(J`XN*1Xe=ASur6R_)C~_d;fEDip4Eg0qX+pf68SF%PVyiQ24r$_|c>
z+E~*9OJCvwiDc<MR&N1(9fiqQBi+iYOmn}X>@*zGim;XK2!@{FNxP@_&X&tBt-k)e
zrlGoetKCm*Ow1(6fs~Zsj{ye`9Qc=XXZoi+Po>xK@dU7Wl67iSiVh)tg-h1CLe77_
ze>fS)jxS<!2o8jj*9eb{KCKsQc=hTlusiNsh!OKx(@$d>Z03eaR3ATnjL^o)uf1V@
znKkTpK|%r@OzTa7BlR0Uu$Ln9hUQlPHJrEn)})pag{W!?<+(4qiYO%O(iftGV|%A}
z`>inT?H(G+E-gI=yNchNsOf5}{Bj<j+RFA`*Vxt;LSYHC7f{N9fBC5%d1VSp42(@Q
zJ8qFH1zDH={}P10@`N@XH>Z1VtkW@&v%?qiluyB=?skb(vEBEq(Hw*;usDEqptSIg
zlQ!ISFAMkvF4UQR8gwT=E$#Sd;9@5*0Cr;NDxUlEyISwjX^38BuoLnv(j8NROiwqh
zmBK{$KyD6xZwqFoH-lrR2q!n}<wB1$y?O|O!D+1i?vuxlyKh7*`4LInObUa*uFESf
zK9i-uBG9M6b9Nt_6VwSuBo!8mmA=-@M5hpx`>UGh?gzQJ$Z(P!ABnTl!q?UUJ6|hV
zL5X$Ca;F!FmN&^WWf<$6dgoKgg>|~2D#!ZlnWtFU;N&gr|4F0K(%1JG=M5}s@P-b7
zU6msn;_zlFI)Vgb8jtF)+lJj_7{m}Dm1z#{ps>RKA>=kF8&7>|yLJf{^I{Rl)UNw0
zWw}Dh!Rsp#$(~BBnDOQkR<dJ1LWL6+7KV}}1Zj`Yav;8(zch!^zOn~r&j)X;lIri4
zLFw@VSoSYobDg&oXh+Kx1@vbx7m#`RoOJ_1vhwiqMpvu1hJqrwSvE`>=#w)hFQgZg
zu;DGv&?Z7FJw|h(2*$sp(MphNg9qheT&%^4X@GTx1O=B27Ypw~wtmk5Yp*w~*bMMZ
z_V8c03N>3Syq<2yytqbD0|C8-W!n{(F|{TAg0_S|yN_6bECEUfGIc;96O)%;DPDwZ
z_EAF4peat;o(Z`DN>oc%*VMqEn?r-OYKa;ZxP8t8nNG0Ogi*mc^2X$nf#oBSz0+WU
zrk6W*@xc=D`+O=rRbX9bDjBaWs1ddMpTj<si_+P>l^L@%?CAUBrQ^0DeLOpxdhih?
zOu0j6qVJF^q<F_>Kw1eGNOV&>mG<=hRV8A;R&ts5+lM=_8Oe%w7#6RVR{M^B76;rT
ztg(rS@4H3V1lV``l~lOof!Naz=LH<KqkbNpi6|^-119=7Of=_7U1Lkj#4*^y57rMs
z;v8K)C2B0FK3~|XRYy-tNc0z4*X`x~aj)OROcM*#%hMgDq^Ksai^Wcz>VxX<?Yh>@
z-dppOJw__gV86Z?pC5c1whM)!OclB?6J58aE9<6Qum(Ej7rP=TpJ9acX%{6-z1hy+
z2mDBq{TwqU@mi1!FbMmx8Bo<Ax3aQw&L0+jeW|MH1CY-^3I6)r%A|A^*5%Tr`=zC&
z#)gJz_8qvRJ{us~=qp{pI7;UgHKsQP78W_yb$%6LO9dd9+xP->Y>KMp{^pwGm4k;f
z`TaX(s>w?#pM_IwE0`f<={vu!0<ZPI@{U|Ty^?pIZvfs_dEm+|L<AuW&k^rlY2S%R
zSut5zGsk3KTx&Fc5hS=k?0GP@Ei2s)lQp)?d6m*jYHJw^8$^P%eS556l+H6a*bpHY
zG(j_C@~;J6;L|iPc!6Z@fj&)vk|obNFe%v-)4qZ7%x_woJk2BR^c?d0p9ii{!^Zk*
zZgw^iv|lO^NOSU%wo&BZ4Ca{@^h5`*-GEonujC9saq7Ff7a$zs_I54ABL}{czewVC
zibw}eqPI1YS6EZgZ<YwQN#WTWt>tI~K1IL$!umg2nms^ErnD)q8vtE3&!cXx^1-j$
zV6M0fm)i5lxFtZngIo}_4WM<NJbBX7ak?oVo<eu?ec<_ojCsI5w5<0pL6Q(5@B9-G
z0VY<zj0D*q=((>0|7a>f?H3Fv2FluEm-vMXHXzb_kZef_Y~{TlmfC1E444I1T=>$)
z6m;k+FrR?<C~lot<Y@k|%ha|WmLfJexj^mdA!l%vK>5LNiAYff93K-&l$-87)0cyR
zEGd-Fx4Rf7YO&n|FfqgT9?iA#s8NHe2*19AvD^aFP!YKD=RuS^seBqg-BA$wt>pag
zW)>ub)03%91#yao^T}oH^8$)05hxT2esDC7JM|xT3qNYE`X4-$|EbIHAKjk++~~UU
XXY<_~l_hirw?$J;_j2K-Yxn;bW~{vv

literal 48044
zcmb5VbySqy_Xj$(AfeJNh?I0UDgr89(p}QsEl4T|C?O>Rf^>J+fRuoA58Vu%!##YB
z_qWzv_m4YkjV{M$o_WqWd+)P9al#bkrE##xupkf!&Wq>Ilpzo_0tf^NaSI)MvhDhY
z8vG^bEUDqFVrS;;X6R@Nku!9*x3+V(wlKQyYU=1@VQ0(DCdkIca{slnv%QlLJG;%l
z3)t)&&Dm+>Q6|7mFzugfIzb?KhBt4d9Pw-m2&9hm#j_`>?#Wv-Ztkk4vz_qWkB54g
zbRX_`#<EG?QT<4m&p1lBnVVNw=;Bh4XEZfZQB+u@d*_*?dV7Wc+n-*$>yI}w`{@#0
zXT^~RSvpWLxnJxIxGW<NIQ1vay;z~?-d2$fHY5rC_u>hd7(@H_ujiZTkCmSNeSMY<
z`1<d^coLB%@BV#RaG{0M{(TLZU=c|E{Z3{#0b}^zFFlWCQY85MooITMFN}Y`Ln~)?
z<bnj%valcwUf5)gOzlQ>aJXB55PUX?d?bDMIvv3Xqy9xKc^Pt^5qkYv<_g|icKMl)
zn2`*<01<&<v-<yWp~97tO6vdrhxzvZJ?fD$w9^>qV&~@3dF?wXS^AuUf{ta!%A|tM
zWplGK(ugcwH<>>}ggb3>)#Q9HF|JaFxeEK}{-Bw#Hfy>qw0v5kg@SoIf{u=^cP#7g
z<WOYJpoR1Dx-v7ryoHTTBP4_r(Se-ct^4W$Q3Pg`bQ}H@HA)mTuuVx$QWDeu>EFqR
z3vaV2mQOvx1mB^jM~dxkdee@Q|BBnTN{X>k8VTtR0l`yEO-@&@tbgkTzGA6D6a{@h
zwN1yvGi}%Q>~3uLv)8XlY^(62pxc{{e;1F;LOlQ$;DWiCEf{fHghF2SnpN)a*!cTW
z_b<;@)5<)LEct9E+aoE3?Q3*I&X!_j6S=Z9PvD*ny$PIwQDWzz$;lK?B_v2iJ$b6;
ze1%hl-E3_&`!WZ^V7rG@gn#aL{cGzn{4KGb!9c2LdwctbgoLhCQLo62x740%G%LM{
z5>Zs5)v)kKjLgiiyrM=UIIN>LRWzx*ygZ|}=<gJUmM5Djc=%qzp_<k9G(B;wi!m~6
zg1N-HmDZ$AE4_xNdkfy@>)F#jCo`8<yMC*m)b-Nq>yx2WURyakkN(9XYu>~I0_iBK
zt0aBr{$xSOwCj`&DmpqJ1vS4d1w*PkEh#DK)=XWze2UQ3%GkYs0c{LrNGfH~Z%qFA
zQ!yBu)KPJ2yu=tuqr|8K&X%V;US-E_+=*>`ekkp&`!6NRpY~CupK1$I;D$#;tWT7!
z(zt2M%gLeLXJA;(*|8I9)gzL&#D`1M$IezYI?p>56$OOueisiv#W<4uUs~)>Ess}n
zICc0C)ci>Dmcx({a7#X>33w8X1D#a%v)<sQIC)%>n~UYYx3?!zNiE<zU%vu=O2As%
z#)g$Ii8P`kXk;U{B~flv`AC!H=!7@%^4jTVsz(ETuNgNdry(i^#zk$i>+bXG!q6^w
z*8j=F=LZwIu6o)h%+%H%c>Fweh(e{#zQPpemsEa=Dqb5=P*Fu|i>xd)lFsxg9X1BN
zBH}1$^Y$^-T<hl+OWrCCA1Z|_ADp%(ag6O0sPX)fC)1-c{5$jeE`r-}-Ky6(3%`Hz
z|EB))1JdA@Hw|<9lcVuW1&@#nk~1QQhx^+I?u=%7(McWMr}buh_)r`#$m&mpSfpZ<
zdiIN0O;^{a>lg)!mprBu++x_|UT_sL8H0s&3_qT-EA~E9{?XGD8Wy(PjxX(aG%^<Z
z@#8Q1*$8&A9%*WyuIsBgufv_0s)bV!H{D+)#T`3I&G&ywi0=+HnDsH+HXKP6)~tAf
z_j&LlZb%BA_@)1DlYaATgBM8TFLrYX9gk%fYzl!KC7Y^gN72pE0>hR!9rYJGN!}+j
zV+2G*95$1@I$qm2tS2wvDAJzdJ@Aa8z|d<&KLR-3Mg%QF;z}vg!c~0-*3mamT4F5<
zNzrB7VP!S`Id1-a)4{fE$0c+6d&40Vj5atpIOfBL$G*N|R8gy6TnO;;Q``+$I~Kb+
zur03)ex;6B%^y?fNEeU1`;JDxw7RllKP)$<q^H;Ug5iCZ)tIe`+0IH2`*j<vBf|Y?
z<T^tp{=5kKfu`+rEdx)p%uG$<%i58rW|b|gBK3X5&}2m(d7<!^($Y6cb_f(r%|vVx
zjt>X@NpEIs86GT3gQ-CWxn&_Q=5hJNMQpEGbZfFA_U;3zyHr$9vgNy>mrgW)vd%`j
zA}`#{6+xZ0>>WO~cgF;4-cy@N{nf`sDp%o1v*0l00S1*+1rhkO#>;(~(R|Iey@fXN
z3RbQ1Tk~HQS^GG!3zI5Ral9TyZEo^Go8_bH9lD#1shAOq)C$UAcr$L-pPU9#hU_ng
z6;}7AofHnX$`s(Ox36=H4Cn8FP`4V*hn4nxLn?M!#m&uSCKWn-_NqwliLI@?1f&Km
z^P4ws*2e4}xA|P34K&4m`qZtD*oT;>`RKL5OS#C$^t{jpM7UFK#zsK!E2lpu#%R{(
zM1uA~M&$ZI#P0(2d<w=}@0}u^#$Va=vZjo}-@$>waV`#xPWZ?7ZC~8T1-H}6u2=bz
zZp+0J)?2d;<Vk&_Yp0ULx~R>!+3Wp>*R2H*i&5gGMjcq4??@#a_u<q&qv(8#7L{+_
zAcHB9)Y1}KO?L9ls66Pe^Z)gW2Mpkap&^o@IAMcylwQ7m6K>TM&ZP)5ymr%e{Ce&Y
zQchl;X-}No;jSMt5)u;RV|;v>{X!KsrBJ<6!mT^__&uiax=%bjNb_D52;_`f6*W9D
z{M!Lg3`U0AOxGTwBO2kDKT?*RF=dvi1HT<y7FK}q*gwSmx>0UE)mhmqHnep&{HFRI
zZJb-=3%hQ;7N|6m^nvg=uPJ_$Pr+(_N6PJfwj5ux9H)IcoQC*i9~J#Tn#*NF6_ow9
zk4!2gpz3yXbo8c)r>(8MrgEPTn7cISGv!KjUyKPra4t_6iP@^8x@}M5Hh*~{fm>Sz
zcG>ynmZc?=GO(6H&N=!r4qYD%t>+p)*-TabY`VtG*R2aLFE6|a*38Vve9f}YV8TA&
zkdH1p){uy}zitz)vYmMcU2Iu*-d{;7qE=P#^`(Lc3Qi<D4~<LN_?#aKe;Z)?6S)Ox
zh9pZ9P8wR}L0OWd*5w7z=KJmUetZ%wT)6CCy(@mLmA_mE4|4lzG^A~S19zDy&?-ae
z7|B!TcH5bjg5HGkXI?8Z#Kq$;?sQ<gWEAx}Udo6PgEgGYKH%Z`IIJL^GG*74!lqlx
zQ<ZPrYQlB*p267>zP82{+W?f|Vb#<&q`k9~s#KJXjVfpE*|I;4MDYGX$Zi>k+VjJ8
z==qUVqJYB?qSBB>x0dA8V+qDSrjVbTo2K08u;|HWtK&CbYiVVLD?~(2KDM;_XFrRs
z>{)gxX{n6Nl8n%NRi4lgDf)hr!C5G9(`!!FTTx^|d`7_lL5pq0NEkcUa!ck=X~aev
z3@kg<GaS5gU#ue575prDxZv?1yN18X8Bdm5^szpPOfN1zw;8;4(>h1u(`JICr;FRA
ziP_H^un^q_IcRjccXxdIIQXai-h6s*+BI5YVjU<qyfid4huc$43zH}(HA^vbPCcxC
zwyz3UOK9Hz+5F3KO<nlnh}lgw2aR5R%5Pq9<tax?Kp`Oz4vG$A;N)`Pp_C9tx>LWv
z`joFBBp~buw_Ydy+?e`u6_eP+N6Aa+lbr^LMw2g2uptlDHg=oA)%p2MlGowdguMt4
z&pW+_^I|YtaqRlx-6oc|2tsfR=48#`FiGo~+P5u%Ax0I5OTNwFY<BwCu)ZYz^3$@g
zKS{r7OoG1L&$Ykpu{3qiRkm6T=Coj0n}dU_KLYcesR``06n$!Y@##X4h6MQx!~IpS
zR&FY!X0eSTfx1)&5$X&%l`rG{4<A0{H0k01(b5sG@7u3wo-+3H7_?t8DJdO4)7!{L
z6+{eff_$PhEJ{38?qo-lj8Eo;?AGI#FU`#cQUj*8ZFy!$H?kGeJU38@SWe>-x#t##
zWQqh{FD<O}C9RDX2)DGfupa#U6V)&$+^Q6BFR`=Z>8k}pHjfL5XLWVwAI1(tw>omJ
zGVXXu9d%j@9s0HrP2tiu)nLXhWPLm7_=VkA@{l@fM(GRVw98n-wDYiw$km}U5xd?q
zP@6P0>$<y6!`9YFcIppi0}DyHOh~A`_i&e&O=Xka%`z&%Ji<GOoyZZ0CUAwGqmvWZ
zgNV=0H_r|?`9TA7D?A))qSEHk*;$P@;>?fmFS01VmuBYIp5IIAUcW=1vddYoTFZ<(
zW!w5J<O7{@t5EE{(YJ@8w(p)($UU`hEt;KDReAX<Uft03)xs9fn+>>vrSz&Xz&1a#
zWXP^h{B{pUwXe<2_On<tW1cuWW5?2`^zn}AC@3pK0}BNgf}Us;jDi^m;kP8`GGWyB
z=8XUFLDBPM$LVK9bhJ|a@uar*ez!D>#vbdO?}dK79(zd%+<A94Ft4ySE+=O#&Qs@4
z$0!&aN65Oc%sN0lQZX1Xm>J|UK}|6l5|Yv;G|a^F_P)#=cO8w~eU6bh2@k3dCy(5C
zZs~JT%9ygHcBwM^ouF$VN9FPfio_a{bQYzJdVc(<>QK$#Sd;uQZs!48;R7Tj#D!Vz
z-15ZcCRcliR*zRj0e9kkF)>)^|5~~K+gF`Nz&_I=J~%x5RES0ICKhs_lFhd+6pIN9
z#1Fj{irUt^#n`S~NiO3-6t^$SLYR2u_iDw+5|#ti-$$2H_FeGXYj?IguIL+yJ6{Yi
zKjS4!|A*}QR^YWB-ZO1rN!F<1eu%o_w<N9dY#X%&)>z_!yX7w@Cis>ZA3Vv{3WNvK
z@pw#@@-t#xyuhQ3=O}4V{tqJd9ryQN8yin}K4qm5iLZF8aq%^yG2XCrK5Xk9gV5D#
zRF1O<=em1a%sfX@QK%i`KcpFLrm0!~j<jwLWj_5SzwUNcwXxTNEa`ALd4jBan-GG6
zO3HOqE2JRwA3(ZmQ5rL8l&W*h2qAWVkf2jes-S_v+>e0RowktIy`0K`fBlmtv_o`M
zMM>+MRO!>2@_0@HCo8rs#po)6>o#x0w*T)9V@_Nf`aGw!p2{JK#Fqscw0&`Gji|;~
z*mJRPr1%dNN9$MAnmnZ5^2G4Rh`@T`R96ypdb{5?)>}J)!tFm;y%hS=O2*x2<^c(b
zY{{6zD;M612DWC-Ln8fnda*D6fmhrfWA}tc#N8jsrib=zJ{^+PLb%x*AI+Oh_FX(+
zDF5e%#bV<}xSKD>?ieMUO1J1Cx2og_99%cwTiP6Im;MjJchM9uX?A!C&mqsZ#25|T
z`ew8*OhV%zRw(P;y|Ib>7dW<Gk8fCulpyR#NRsu{`ZSNVm>HS^84BZzWbmm0?Dw_n
zO)$hJ;|Yq_M^qL4#mg3D8zL@SE=#fMDKd?sQE6Dd&9Bs7@@Gd}yzD7XJLKs9rQ)Oe
zZGfexvP7up&8BqrJp+rmSYJZMmr2K9n?3-&{2nZ#2-L~qMa21Vws@<$exGrF^7YRW
z<81KBpEYY*;uIkmCHP=B@L(=gW)>lSu<b!GLSSUTBP2d<wP&rwdDxKr8NcvIX{1qo
zao_$rekv#5g*#mxx#3=$k8X?tSgt01<4!0l8rnrI_U~kle$`{;p7`ku39MbbmO`K5
zz-@lC4=?Y3X9E$(N3W_jRMYmHxl?Sk(9IcPq(bwl!dCff;5rrc%BG{Ye8AV!2GFnR
z$KU_`j6;^6Mkd@HuQKwPHIW|QClX3}^Ww<;MP5a$8T*62W!jNt`p(Ve_>y$tLiS~R
zeH0mgyYLefs-l*B-ZO}f5FKem%@ukc2BV^N_Gp22+tvj4c)7)ckr6cjt%vH|^w}Cu
z9no<qP#??5;c%NbLf@dxDJm96efeT=enQ<$sIJq8$$)L?+@vqh%ErWGxYB#l)z=4F
z^<))!!4z=>JT6d*6tUNaEQWCBo0!lPpl}7x{X#}&_40t-;PP~stY7#SS@_7vNblz(
zB=O5)|JGJyS$Y5`Id6Kd&BD59(05Hc_8jGFSE2iB+clIdOoC6mFX6;E*SfFF7Ozg`
z%)sVKKuCCxjO+(!>#C0@$)79i&gQJ#W)~s%KbcMHYr4K-p7Xn={Pc;?c|GQbnz}BO
zDO>inv+a`>F~~Q0(d>ol(ZJtyQ}m*#&AR2cA}>^JU8WZF%Zkj8PI=pxyIB6SUtWuZ
z&E!PLL-9XF3fDeLU2_&G5p9`nT+EQHlj(j`^pI=($HY~vw{E2V>$%-f*A38`EoH^0
zK44@Fja3kPi%S{9$i`;W7VL5fCIn3CGhJQEs#(tm+EupS%m-#=Q#_eWP5Ho<8%+2p
z4!+kmEO_(_6JzEA^mRsHlL6gtWV%F12>_vBHi-xcmqjl37I9YlQZ6_L#4ZRN9N@{`
z`|e-Aeq~~1HQXHSyF47mdym|4ZAyafHtld*yVBaI*+1YN2`5%;w=5Vs7niRQto;Su
zLl={w%=10FnOfdtj}=YuZ&VOnUl;U1dwGy8KJ!>fiH0FnAg06^ssd&lN=*!a1y`yc
zLjQ1ctZ8twZpL<}dXeY`3yC9CL4&ASJWo#Lxh9tC!<US&K!Mo|kjanBvxD&pD-4xv
zy_fFpSLaw-GJp6&t<TWCy_P~ZcfZvsclc1>`VzHdR%TM0y-U(NVW9>wj_GSdROo4~
zNfWQJ%hg&t6N57yT{CRa@-h&)L!S%Vp4yi(U{O7Ubb2;0N?XGBz!Oc_ZD)Qt{`!TE
zj>z@-Skn7e);11CR#qef5TE0<F5KqH4)l0pr;OjOio6!y5<9iws2}ul50eTy5~QcU
zAH&h8utc+KJQLHc%|x=lI;zld88HRhG!FlqH#r=R3Gs$^n4_Yi?)3|EhlPdNI7fwt
z?>`WeFk7*$w4P`mFIn{1@Al)dbP`Ibp0S0{%Lyg<TpaVEhKEdkT!urbzm}H=0YDfA
zFd#2Q)BX>unw?q;k%Qhvfb{dF#y)-|7|vGE*YjL=K}OyP@lNwS-#tA@vojjaCvCb#
zz;3+SPYK|0U<6yO>XSbxi-I_-;-Rem3CE_j6_P+x?q@F>!h~}K)l_I50To}{iqEI~
zDV4AhYuMM8^9BS2EgXXceK0Lm;c*MIzPh7EVPqSV`1SA{0kbdSEZe<753v^_PDNm!
zDElqAc{i_U#jrxF2HvSn*80pJux$r*b15Cf`n}89X}<GrO-a*hRA5~v@6aQIO2=*3
z`fS$s0;keu>PG@6CXUUkJi>_O`6>fdRp;2$hm4GCUyK6+0&aM+^>a$$$`Xe~bb1A`
zYyc!dU&Rb2hN{eb;6At0*b|ks>%(l}n;$i7lc!_){$Q%o#$w3o4@xc%`qa_m;n;`r
z(Q7Nny+K67XwmJiPfnw~&`uDd$rr`Kq;o?QBD<CH_~~hj;4`nR$ME>c7F$V>Z|JW{
zB;6QYy?DJ&c4$}&9)*Qb;#yMwY0?1iNI}4OyfJd|<p6Iwqqa78VLS-ad~YL<oy%sj
zBN;3Q3AmIYnIp8gSbxq{l$ZCt?TqK%jGMlSj?T^U187Jh>Ur31jhIurk85|ZBKP=;
zEF47C`IGIMnh6L%ocve>ZEX+MeleYWIl#YnZ=&AAI96Z(_qMpC0e7FNuUk*+?MjP4
zI?Q+4KY7Uxe~|X2evE*F_v*y-dsR_s+*{#rq-yKe;Zb>Tb}Rxsj>HY=>$8@R=6NIU
z>fU}6nc5ynkfn#gU{Uswl=EM{cVSRek1iBb|2l3``GUj}cYcIcKbw}e4qE&BTwLLx
zf&^)niOsj+%|VSyI6MzY5Mb(YNyjM-DzrS{9e!}o>#l@Q6YcN!44~Yhq-;YY)@d)d
z7~`p5iB^5}3Q}zH0$nD~gyOh<a&l7Y+Q)#kT|#t~J?&4HFS#@3_AiG$tSWBNZF)EH
z>xZT73o+u|%)0Nl!w(%?3dZtzz4l1#jpAQ>(j(3xImgceVC;#qckXO#GB;bItMs6%
zEG*o`v3f{PM@O}v44|Q6ael9Bmupf1fq=97xGI2CW&J|&H}CLp$I&8vsN0-RU+des
znD}^T-L9{DyCMfO^Jf5%L&UGoY#kj-H5)u1rg?KEfvl#?8~Fh?v#UH_3ip0+Nz!e$
z>eHOGKYBpB`YYQr@zgHw2rTX(uZHQ}Fyq5@yM-`ecl2}~U6+)k0e&Kg{RGE*`AdDW
z-O2vL^<g}JP{S#Y!E@RRxxAzo7mtF$z6MT?73$(V1_X7~3ppjF!JBeT<#YHV7?)Ds
z)s-HUTi$goK(K3Rsk2qj(<06W)FEA6r{B}B6f+*+txZ+=ZimVxY1w|>4`3Q6tNGJ8
zLt}b2VHG$7d+}T693@3PJxRKDChdX;1oTuWX*Mj)JBL4c***?hOt!E1F)3P`_Y3bL
z0|;$b55flPnAegUJ1{2ZyaK6T<bY+`mcOXsm<u4=<T9%<`Nnfgs)dCG@SLX^g~olK
z)!y&io_DPy|3-s>PUV|E460hG-P~+oBsGcBS&y71E$v2#D={G<m9y_$<JJ09mH3>`
z3GZzpZzsjNu}zy>3Q@02Ob8%v-=a0Gi~VV`FbD*W;j5<na3zE}L}vqgsU}Q6`sZ%0
zYl-+X87Hs$UM-a-(w=3BSaO?JkB)ejYf{z$1O@vh#(?-WUSTziwlk7aAq4luxOEmF
zuHuw3I_;-y+#DxNhc!y+0*jhb73AglBtmer^Lsl%IKbfU)vKu(zQZ3^n-E8APbJy_
zTL*dZg3_UGCSRu}d236yGfMnDXfi??TtTIs_Pd?|3mOGzp!SZAn*;~Mt^r?C%_*#h
zte+AfQxJJ$`hIWo^JQCGTLG4TodCP+dN5pbG)nGqy3n*gC`~<7W^M;~K}Hr9gM*d#
zfITa*Ux>-@?FR%591t*I^HJdNz5EU+^w^KT;9vTz|MbV7VcBn}PocpK-(A)3F2MIS
zUNA{8`1(K6$XJW~geLrwF+cYKACLdsk)V5-meQATHeLIc4(IL3_ke*dww}0WX-RR@
z$W_^i%Zs`oL!LZ&Qhy4w>P>*NfkkPPrtYI-WK4Jx7;N7`IL2W=|7A|K4Tpcab$?mr
zW}A#4W~Zg2OOQ`duHG#465Px`h;+Bvo%N}{+<&B5=gKP+&-SghHhg?sAQ(qDT82GE
z>KcJU*1tW;n*yfR(5&y=UqLMK{qQ;{-Nq7M#=om@*){M6PL!D!zaGQ`oDFra*=^9a
z0LD83zNl~^Hy~*F>jmHf3NBa0(>Se0F~IhTjzjkKFHZT~vF@-xSs8!EvT6)LCwX#d
zY)9{)+yA9>_!hPLm@7$e%exWK)(Yg{KY1m$BT5hpZ#t0Iu8E0Z#yxq)79Tq_<kQ~a
zLU;fE-cN?JfVQ1|mTf63kD^K!di-{%GzEN)@UEcPFKWrl!1J#+th%-S@%Vv<^LF4?
z{xoiLmV<GP*9dn03dA~|t(|;k1WH&*X|>-|V|a}ICf}^_v@NVX2ywo<Wb<8|$~{g$
zBSG!YGPW!DG@S_BYIqY0KdQnfz0-j&k+zcBtA+~UMJZHHaDUgQq1NOITWX~IOh8|$
z{&}C}PjbM_0nn*0UG`X6_Q7rTPY4j<ShI8PzeLZo5e5w@MVsw`!zUY=$i9}ZGg+XY
z=b3<xobvxCvHH?g2_;F7i9I(Pv6W4zuD|%CGjT<hzeCm<cZ~vp?ui?tN?%m|<XdUu
z_2Tg7TrbJ&2tKc+X!=jqY{vs+)G3`6-*w-0jF25AX8`9k|DIv+!{l3!yFROPj(wbu
z+;}N>Z6Q`zX~R_Hz-i}118Jg;yXnu;{=>=CoY;Xlrkke%Rzxyb+#ES`BgW6CIS@i?
zhDL!f2#5MMjq^+sQgKuxHH+5VuEx2^mEOj*o+m>vH{HV@W6P(a|BVTnIJLO~^|_rG
z%Ns%YX^Jc|N>(K7yDqz-;?^BmdX+YKv8jUL{x87TAe)bcH8R%pIo39Km%Fk<;_+lG
z4n5)}{*#j(lU3_-6XH*(SIh>|t1EB$KX$s0AIsqIWGrIsUaIR)-qBVU)ZK*J{#ThH
zPXfj`kLGM7$0^wEwV@>b<enW{F30*08EcK}L8-+05TR!t2RTQ-Ab0RddOR$M?d9VS
z!m!?n9li~Iatf11%Gq{7+G)p+RO#3bG$iTONx^G=C=pYl)hkw*<D&SF#c+H_8vG<x
zG~V=oq-qdOrHeZp`6sVP%I!M6R*MvQhM)JG+b>Yfd?lM32}wo`wjLlHMPAye$1Q&>
zscV1o+W+kVy7QrnU_tP|MTj<T21M;(W$GWIRy6WbYP)SwnxkSf3;R9wY`M$1h<t0j
zEJicu8hZWR6s@mYu02*H-o>Q|E9V`5I@&jcvAmzeRQ|*!t@QW$!gqunJ%G?oP<z-@
zQn!s`gR}xc@5D7TfxUS5QY0)gz3(=v1YcuB78i!XYud;be#*_EsfQuMZTrbwTwF5U
zUFC*O)f`FlFd8hYB#D2ff#>+DHO$>rtI_5I4~vB2E3)z?v>HiKG8U2(nn|SSBF$7`
zB*C3{4}Ouksur2%vOaJgIe-XAO``=!yHN);5LTF&#Ff6TdOvcuTrDE**U*a0dTFT2
z+^s|-mS21XILALjDAiBNj%<kZ-roY0s}nhLySEn=VgJ5_-mqvXL&iM?BQTD`@QwEq
zhg1B=w{*`$R%)@P9U8uG`@roQ^}S$lGV5vW?ys`sq={K3aYAGj4AN-amD&`>L&l^r
z_ay!Kj4b&61upC)IaR1}>H<f9$ychTEMHQuZQI2-?~x4;Y|pO)gW<!y(Zv3A-L<<T
zv3D^uUfg;i^36r#2RG)#Asb|bK@`=jhqJ*?8-O{d(e1@KnbPk$F8mZ#2?hp^1UJ8z
zL?vx${d{<|_+#6DT$pcOet)N*<LbUgKf_0Av!MABBHQ<0oZN{4**O*xVtC}IfGbDS
zPBvM}zVrQoHGDCl-gcul`AyzIH|vF`%`?-22x#MM3trtzq)_Ziu39S=<6&dcL?Q_j
zd;h3M*4qE^J#*cKKVY$26W(R3P1W`Ckb8l`_D?1y52Glb%e-UfPU@vYce~HbQEMt)
zOsdyAa#8%zeCK-neT4`<;0jlAMP!4C+e}(~hXPsECCE!H^dFuKO#PVsA(U^1Ull21
zzVSs~qmS(ExblC$sLz2N$eWdy0LlPihYWe-N%%&aq%QmNQYKuZw}9aXU_-BHd3xKm
z8ojRP$~ZhWaJ^Fa?_)zl>)`FjB9SANV!?(S#z$0odLQ3Htv*l?_Trl#rQ0b770Fl~
zXeqFNG&Vw9vb)2=n&4wiV!fF!%=s;~%ghLGAiKK$6-HshF**duYn^~}a9>M@x-Wks
z2Eb9UqN3t(Ya+s`uqI%kO`4|`dbl37H==%!AbP>=duoWJ?+quFlza=C32uv_2_1)y
z5sd<jrtKU0r8jZ6%;Nx^0vCf)h|Xc-dp0-FdqGn`UD^q7bhozMRZ@XAzlyG|oK$Bn
z(doP2%E5CPC(mS-=@V9J^FG=#OMVEwZ1S%K6SfUcrYj@#)7{T*Y#4FjTUP;wW*Lw{
z9d+OF9&9H_YL2Ri(z^TCI#`&z-RWL1{hKDSqBO=L2YA&r&}4_vn}bp@r~RbxS_27O
zDDlo&uHP7v{PMK)(M5mNTRj7sJ`C+QKKppD)zk?6E*C4FNki>NHCJyGV$fwdj_FqI
zj~gpE?RPKY)vk09r<pEx;v@q};px+-n)Rm)v)%_TuDi3{K&BjCo33#ZU#VG5r56!-
z6Dv<9BP+`Sklq5&wT!kW)j-R#iHgdjw`nl^4X6GZF@;Ua_0FkZFs-%qP245HANAz6
zrds`*Y(A0Tf<oWzIs=(o=HFz^UQSBVg=FzuNd*&^H9%xMUM(sPC`~{8M4n*vvRHLj
z7^a!Jw{-PnVIVzSScuZ@8CLn%!8nA8t}oh&U(KhlmJ9(z_-?5~?++B#)|%3t$TQt`
ze1i?`H%rMUbSekOvM63%C*ZpqE;U7ZVN5i5F=VG9gaPwW5<HeFbfgSG^bM?cmU>6>
zLQ&B^!-~&twq1C)myWXp1p-<|eBg572Bg;qYF~}!Q+PJg2cQ-o3|yz&pvl(TMfV5^
zXY8X+=KMmy#fd<z>C1{oG!9;=7wYu;oQSqBb+4As$Nomc&t;hHw-yI0@RYX;X~hHr
zn7*qdPA^l?BGck|z3<k1-%*JoBS{}u+M6bg{>sGAaf|}G;kSYldFByhs4BFBvS6sH
ze(M(eg`7?F7>B!?Bvlc6f2Z-|_=G#DB6)bC_<+yUs>^r`CzfR`&9vGyFVU!82u>nL
zOPr}YF#s%5Z_<e%=m%|Y-NH){I*JMAxO@NpeSh)G1$x`YGoh7%v@v_cYMNg-baCN$
zYS)&49$Cltj0Xr#EdZwZD1I3S9rD|--*velp=Z<b7XF3Q$zsjjqC2lKMJ~~Hw4RPN
zO09j4=d8gKt^3KL4S(ipaqC!Q5D@vXU*7u8ouErEhRH*3MOs8(^bA<zGT;r&^_M1d
zLHf61yBhF4?~uKQJD6_AB6nQL(&MwgyNvgf^{6}_`?%WPP8Sm+MCI%awBVaz2)kN~
zGb&OD*zY}AJ=qn9M0B+Fr%aJY+RW;R(>entE?=tx_Qfjy)gyrAF(`M3v+bOyC4RSh
zmtEI3*ThrIm3QvmX+a637WGbeO@eCXC+*((K!e!{vKQpij6c&bSR0tSR_IPE6!>ud
z=SlP{D>+|5zm%%?%5|~#^Af$}H~S~9gkFc2;V~&*q5(u0I&vZrT>!jVxVQv95Bd0x
zKR}I*HlhH=m#ghGD!D^QDCcrCu&S=6hP*fHWyf3gt=cSw{r7Alj2#weS4{el=Tq^i
z?lUdTKVgBa?6Uyvke<<;29jD#x5Xg(O!uU$!s3OnlG^4<WKB|uuxKXq?S8wa&l(XR
zo=Yb||Fzv4a5%dNr}*WXV{oV0tc-HsT~qT4UR)eF#tdu-fLR?~OMot>fBjmoL_$KQ
zbsg2rKX*C4=k}ZTwy49hJcjoMLy@XEwvFUBIF9FIb#R}mH_5I|j&XRTkgPx~(RHJI
z)(Y<A%u!Co4)E=?{f4e??9{UM{@(;HP|AvKe^`7(`_<QQ>VI(Bb!*)BC#V0{ugF+f
zxU&_OSLYQFP<uCvZJNq0hNVQP@I*Z?y>GB+Kw7rgpG28jJ_b6|wuEX;?i%Gty!c_`
zcQ|J7llelA_I?V5@eN{5j}!snsEn<c-QuWP1w$j@#bfux3NyT$w)QK>U=$$B&4G#+
z*ll9e^2QE0Bdi2c<Kugh1<P<f-h=o)8q;s#co%G3=eoVLS+t4|xRM+t21@5Xa0PIs
zS)ba)_jHik)nhe-J%yJdjcfTSz~k4Kt8+|@i~?(7YHDg*<0S=Wc+9^S(08?uvZyS}
zo7-^Io{Hj<5oslDOt^g9_1;lhPw4r%6w8Pg{8^@=!wR`-@)c5Qf~{D-miO`$We0(p
zaM<nJOKuJLKDv>YZ@!6CaRc^JHi0ABuIY;X#)<Mk>fP7+=}raltLD(V8K(;&Z!vU-
z3$*e0tTmu6V{*ph#rRC@?8XbNc5ru*X{UiJ!0%Bz%Qg94)okSU2ps(y#>B)lgu~JR
z>u)$+twLrqACo$pBD`B44|u%r9=1Avr3|Uq<m5MP3kJKhqJYH@<{l7<sM|$YMfmFd
z&Y4V8)<;^sTfL-^X{XjJXY6g&xp~Jsl`zexeDz`7o1Mj|3nZ7)6cV<<khxu_`;CSq
z=-jVHqU7seD>5J#km0W?5HMCsoXlQ80H?yDbIR(p+Mn*Us=Cv7;R{<_#3KdHu4j8E
zP2vNOibMv8^}VHlp$&K^V3Srw=BInnA>QwSun@c3bRFq&AeLQR>|b5&{y(EuHEbiW
zUvxG3V0|!y0k|Z9)L+4(S0B2!XMYbrwtDSrkHA5187>^__d*S60d;8q*EtlD5X1MW
z<i#R{V<IB-eE%hK_-1@du8eTX1}EO)`<Dl5-(d`+OX|f9IiEqgGoj!$SVWyhB6qkl
z0yqxXDK^CAY8|d+PnU*Em(@Ld;k~LR(TSxoj-<Xz#EClmVorY~^WXwFHs%n=?M12l
zK*wqu{nOMUpxZ77r?ny9oz;f8OZmr6YDvMyN3W!RNd*Mq*$)D_@;*f7lc?0{j}Wjx
zwKGWaND;~)4N{Y1C57ETG?Up;->`_o_sQmdFIlIA1l5C|_d+WSaFq1*-qwr;GjM&{
zFB5MD5O^#rJgtk(<wLYZ8>$W;PsiAD7tKFGHJYfT{xuV|StDMvF3L`Z%4@EGiMhLH
zNADA+E2{5dD080azWeD;t<H=vS^0cE7{=fhks<SLbnsC6-*YS_JSt>e`Hpk6NuQeJ
ziL@w``f@KWG3eT!oxV**H(n(t`IHPb_^etP&R~kma8N~nWPb*DxI=X;g5}W9b$Sa|
zC*rN(J;c@Vr%%Y6zmb_i`U~`|Q%%H*AJ-=SBpkR~xi1K@^wgI<I?ZnWS^>{2i5lC@
z=-<v#2(d?hC=D>NAojmb-m!P9WR?5T0SaGS0mCn{A8jbqG_HezLDpw?AQ#0`_Q~$V
z39@2^s+V#pQ$5hlW8}RHL#Bj7D!BH4<I1UNum#g=U@>R}w0-)4)Ty7Y=4n&w2g46g
zP5nX)xm0}ioh>i)7wU{UihL@v?j*HIDnGlEeJs1@BIt;^&7;WUt?S=a^wUfAe_3>?
z{<iE5=!0(@H~^EC)a8*+ve4f~F~)E*3vozpy5vR18Z**(lOwXImb{Mdqfv3nU1Z4N
zbVLPVBaL}Cl0O)R$k#;+2hL<j6jZ`L&f<>v3cNZXZLaKha5u(jr}V*EC0QP6wXT%D
zcZc(pOQK0}a~bkHz?bIcu@z7nxd=`6V;v1=sedx4D(j2k1~nAR*Snk<+Ttp;#swHG
zS@?c82#_Ly+{X@W!8rAYLo&c%MN~B<2fVzXpyVa+SSZKtDrsnRf%4cA^H65I&W$}i
zJw5Z=H^&>l$MJ-@afwFcxAF(28u=Op0Rj{wsAz9r1CjD!8;8BX7WhbmWt;hc_<viD
zxCse55LrX2+!_bh+&$gZ<*|0VNn|LltSoP_^mdkB?E-kkS+@moZ;ky9b{8P$c`MbH
z({jIBMzIHYw>9vvuDHqSSpD@xsi}_Jj0=z~xIFev0Lyo}l4MtXbvy+M_WWn7!m|;t
zrR8N#;6wxVP*QF)?CfMmEFfyKXcYT5T`sfVSbZ7Ny!Ugc*2aR~N-8TU-8ik&(+w|B
z$gi=88uaj~qQ2Evilb9Sk%zQJ4r@xNs@50X{-41r+O>bt<p8#_dP=*?4UtO7Ak|+r
z_12_e(iBG)r`i{4GwB?$Kvm0b3gVZ|=v(TlBvvcqs-lR%WTTAP+H}ms{7lGLJ7Y`b
zz4rw4J=|u!Ulh{BAk*FleLC(7Z$(a~on(^*qL-E)_`&DA59EIQ_;I?afBgeEo+s=t
z0av^P%KkEtAc5)5_H5*W;{AsY9FVQ!mp^)BBG0a((8?y>jcr~X;b+N}YN3RMhugUq
z{q`)MJ}t<OgN}){$9%<>MW0r;TpY@smRfaxDm)*y6V4#i0GBo)E=E1iakQ{8D=ef=
zan~9^jiC+n(Rt4!S%%yJ{D#p<Nj<>VcOw9WhTgKRhfD1=oan9er}VG_e{A~&m~<o#
z+v#d4=z|9jfJx{UkaM!~^YbN<C3ElyC7!nKxlj8NPXieNA74r{ky0X%V2ZMABHyC_
ze=!YnBJ9W7(Rbn3{=t9ubu+hQM=}hzS?tnPgmY$7qAjP8Bw(SDO--xjYpzh^>?`bM
z(>7&q@N{ZrF%g81UO_m_dJ_UCaVfNG9G8n`v&{!mO-xMo0HTSBiyO7CFD;F!uo}BD
z*`DmoB&kd)m1yLbH!Hty3hPD%7AjQK>c3#N%Rzm99IF3nRvs`u&x=}Q&?K?3L$kbp
zT)4wLFKR_BjK#F7h@-{~>>cT@VrYTH%%cQmXlu(FqO78VXDRdi`F&sjOioVLZy2Z;
z)9Yz{dmBiQ44UPy?=}G2y@mv*fItGUgC)+-XOP1tCr>m575%LIaHA_9Un#Zw<@~jY
z4=P_dn0L7D=z0)W)+)zL>*+mWywCfUoY1@}ivMeD+V<o71u1Ro3&TejkZN!Dmw8u+
zp}0nIz9Ui)Wv|rLQI1rS@g9nZB<JSl>NhBOdy4=mZ)K-$cLgYgMuT4^A76FV%dpi1
z%{D|KuHD-^D&F(d6^Mj9*Zu<h;^P0PSAn=IhxOU4>BdXfEjD4%6gE9p#;+1To>!aD
zm(UDCw_Kj#x|=%?skzwJc7|{+xAXL_jHYx|Wba0aY38#sFob~m5&iS$&)_~?@Fb@L
zeu%b%0dWN>DRhtk&5i^I(K0f5T1TpevELCm<CAF;nXES+YU+(BTEr6{Fe4P3h|}%V
zA`j22MR#mGhS6X9-iDk3>#>Z2S7^oB&4|swkY}IU7J1zlvt=P{RKM;f6-+`2DH|#e
ze;+t8LknM6IEpBsvL!Hbap6@`Qfl%{^V)5QZ}2+VpK+Uu{_p|vSVMyZ06S6O*aO0E
zoj0(yCIeX8$AkxI`!eDO|FZr6o|w~ut3eKIGxPrWxhZ|L`Cd!mDB^e+l|An#V=AOF
zv|n>sXqUx#A4Lf(o}p<cPFG1Joi+}oHi~~va@r5TQN^v0H*#>`#0^>eu=xm~44w=)
zDbs-<iem_4e^0`R>|dZ=#h1<V$9HCd9<{LWsbGLVC~TOS*(0}_U^VBWB+92;OqRfc
z=6`jvr8yE6W36FylE*3t2AtL&S4U&rU0nwIOWp4$0mnzyFL*D$2ko(@<^;`@4IeoK
zNWXnda({?%+?I8R(jqhVvtu2=!2z?_YK+}LR<GuD-I;Edscc?hx@GI_Uq`jgP(m4P
z(D!AzG6<UTF2#*}FwUc?>Q%ZvDJ4T@q5p;}f9#UzNC1K`l8iUJKSh|^ZdT-*T#{6p
zn2-NC(@!93kpbUwvfHc&&MFY7l+@HDjf{-iq}YJd1n4E7^7C14OvJywtC05><>xOI
zRLvs$QhonR6v~we`ypv##eZ03nYlL1XjY3n;W&s3#BndL4hoaUCp2#e0hAfE#>nE)
zmOOui>r_|C2u3i57zNvaVNs$`4nEwFOmUQq_mN_`R)GlObn#|80RVVeHdQ3CxR|5y
zY=!)IYoZNU#fg=bmC5@3c4}4=gx%N_#LnnczR6k$_yQ%(VOWkI-i(5`w;ZoOl&wI`
z{OHlm@fE(L_hI-9T%Lz(#wQ<tZ`QOn34kO|F?HiC^X{OTl4#Hy(qU89wH?y2Rn}z#
zf7aIOpkhE(91s`P_~+ECxmg9pg2~eyUZN9~p93d*>DLGdWdZiDZ4cVH<_`LmaOb8l
zD;7}P?weiqSn7)IO%{v=opkis!Rn%G9XO7{00u-HOD|_RB-;6&92!FH+m&S3*u625
zr&;6p5G=a$=IDFyNumsUL-_>WpT``cBK);wd_JT-p;L$9Kgh;CbBlhY_=Ba!8m!_@
z6e&J^vEp@!I20cIP?_%>sXkiQ`&Co9Eg>(PZE9JxwKfjiFyP&bD4Sb&D#lNrN8-{q
z59PCpWD;_aN=;4reap;ru^Y7EdgAT<Ebsqa>m0s_`&L>|DHL6ikIZV(is(_@+UVFD
zo<omCrm*lBaj~`iTozF9cBK6++J0vT$~px;Y_l}7?q7yS{qqgZIeI3GG{7vx#?O%;
zD3+V<EY5eL@eu_aN|6y{@gd@VwPD~s&q7f5Hhv*(bIDp4{Vn{V<+NT~XCjq5G_I=F
zDDywUU)sJCivB#Tk5bkF9eLrUxVdi+HBZuPs)`A{|A<|m!~d|FLqGl@H2N>AAN>jz
z;&b~H+R5NhP5I2DL6)7_Q1$W_Gd<!q3sNJS!X#2Ww5LJe+EmR}Fdd0Vul|d8gHX^#
zEsJ3PzlS)j5mKNmvh|5(cU(p0sP6CMe*3oFg+%Hs@fsuUKD9dIcEFU?jk`@F+4Mn|
z<w}~$`CyZAW>L>Q>VJX-4C<KY<PM}VlULiVL19*TDbqUjcvkxyFBzI{BWYF1Yo$W1
z_PW%kPJPWWk%;g?!y84zG}y={<NfR(?@!H~R|fa!&-VU!L{pJU_7#QJ<7;(Li76Tg
z(zadkmSXKMpLUraAqK2SM9ya9!JhoC!y5Lz?1GDywR6lg4A3QiP7T5zOsHvkCyPed
zop`_R*+ez4SM^Kno_?%sinNoEs+!ClTm9j6vHDr1hQ$GP+kDNg+re2UaxcBRwX&W3
z4$<mnX*=}4`AIM&$!F8-hE9}eDAngLxbNmP>ik-l?bp1dc=GA2I-^$EVJC!yrbI0N
z)#U9q4tEbFqO!3awE6U~27w0kH&J=_{Qh|@+ohAK7;c~V^guPsy7DJ+{4w#3h29xk
zo@ZfmNZt{>Cd(%jbf;C$5pd(1Eyhjo)~PDTyRPDiKY6u+Vm}wOBfB%!0woM<`Zx2A
z$!Y>UX9_zyVm*i;u528Cz<tIFrFEQrS9wvuOy_*o15~27-Fq<1&BtdoWpF9yeTU^C
zDtDYfV&7hq6=0E>786ThLOGg^P5U>0g1EW5BfwMG64NSqsk$fHf3^9b6N7={p$l`Y
z3O#;&Rl?8fS=q-e8^N2&DGJ}tm!NQ|tn*xF3+ZHAc09j|lwDT>6#J=aXEyTBu*KZ=
zxqqP0g68a4B#wyH4A}4a#zz-8MR06HX}uhj#$-sT-Dnr4#OY0r=~&b}AS5e~Exl3{
z`kFWQ+K=FBXG8s}V>LCK2YvbddCiu5@SnS$j%L(yPH}<%J+{=e9)HpgKAxaZkK<{n
z?Uc4!4lX!drz;5*VnvZoK1b`0ut`Wcs^j$vG|pKUfBzYwZWQ$J9CkM|g*i8Ou~LD*
zB(Ggw<ICIZf%TryUnC&cd|&>J&n~50SGAIC>)Re@w>9)C0+)FwRCm*UU>mgbewjCs
z$J+j}_Os9#HxvmQS-nC2XQ4;Jag>I$v|EPRJoSz2hZ=OcW|7(OgQdc0lOgFwyJuth
zK>Y16TivJ{B$N0*)ph9>kcy54j(<B(wXe-PaQC-sK6+T;35j<u8s=vN$5QgXEByYj
zwF{ky`h2!K<2$J{3UIwPo7hfZ+!YLRIU}5gPnhLyOgo2RE_B>JkEO^`)Q<djEVtYP
zECM3-fa${WnD^|nmI4kaL%`~4U;z9(s8vb*s9Znqb!a^J==;rp#gP71o?Ve}JMU~U
zo#ll>TguO-L<L&MEtYA`)<AvRj&)9wpPX-2`!^MwU;7vJ#Jqa^cf!hF1RLI*Vi44%
zE-ilzzbnzAkH2#iv*8%M;TXH(IM`uK`|ukzWo@$j<8!+DyWKdelTngzTGp+M3a>M0
zt1d}%_Y5pStcJe@2^f|i76kpRdKM~RoyB*wyOQ%Yw{oUO?JrH@6JsCAaPo7iV{_Cy
zyVksLsR=#sga^AeC-U6|bVo9i@%{S*5IY%>py#)N7_H7->R~Q<6$x8S`_L|$eFOsP
zteVS0?r+jRPg2~@HPV~)OGpw8flbmvko%C5w=tK0h-$BIIPzbl7Pbcns3>HJ*gU;D
zG%0XmEYJX8KXz_szK8YbYB6~5yN+<_ZTi^OXBJd{iG!isZI`Wu;jO5IH2x?s=MW&K
z%T~}ioJCTHx{Mhnpx9$09sox`CkH=V-O!3dO3~!@D>g^(aSC}c&8jHD&12<Pi>*d)
zF64JxYEXpEYk4fP{ylG=s*ZN=BW=VBsTKwI69thSvef>E3qFE=i>pDZMHtN!XC}E&
zv2ccOb?iNaf;*)zDS`GpaLM{sK=jDzO86P7!(0$m@<*!8#f?nfe+qd)WI^Fa;rQz?
zZ!b0o1O2<Duhk{*<^+<yye~qY$5i;{x%EJx4uQ*)r80@x#-Wj@-47fXEZxjj0<-)~
zZ+b%Loh+l=^NHkU;^(CPMFsN>?9%fk2VEbK3HREYn>Y<F{BE6{yUObE2S2<8ohNs|
zu0cb7>aAPY<*?xFb!O&ums@?;(A?olZ;{?W=R|;w`g3dZ(({5(jL>)gf`T_!S8cis
zHejM=evg;{Dnr?yK1Qr=TtbYj7|$25!5K9VxHp@0T4`{`vDAilJVkEmSr><anw}ta
z!Hi7U4CdqFkzT>8*lLsKTq(u`xjiM>f1M{<Z^^0xz0_yB`+sad!;m`2<$v2KE^^Bs
zFku@der<_-El{;^9{qxzw%mG0qV3A)Xw8>O6$d#xv3IDtIs#(_uY>4l15qL!KGBN*
zn_S<beii6d-j1Qn8GUQPLcJEg{M<A<hpZVzn;n$%G|B)6bhWf{uQb%4uwG>%(@8MD
z@+nhOKZ#6u@rjAXm%KVc&>TSro;>>~08$Xe2o3l<7jP^2sMwIPX{gW?88`+}uVrfV
zxaA(U6~`xh{o$Nv7KHV|Epcy{!9Baib$>)&ZBkHuAh_F}aH!Gg9AT`n`ua^i7J3Kp
zi~ZS8n{G&R>lulBMm?!w!BBN;UhK+c7*1q5u=Q8R0?){^=m*R>`KHH{4ZU;9p?wRM
z0=CHL&fzAqo<K5Q1S&$VoJ!`%zfH@x+t~faw$8$K8TL5#6Y<L*q_33TF?{7FH23po
z_?A>8Lm-&nho;u6^J(A>WrzE_b7R8*BB`tn4tmkZL0#ieOq=s^v%7x(tU;HNV|)8s
zo!O_pb8Z@PM5&LMO`ToP3QrNL$wyRD8eea27z(v2e(lD@{c5$$R>8ClZm9dU#`!r{
z#*k5YXL>p2UvjR!2pEZEv=QBY2Tkqo!m@8ikeF93Zh3QkYP#T;GN=Z(vdHXQUWkxG
z^R70-J6o=RX!Oz3AIr}Vr86DA{N?p(lIU;B!}vjWab#1p2L$*8e`rLwVB5}@%2k3~
z`6~<!9!b?pX(csE>Vm1BX`Bmib^zrLskP}3Ov)R`5O(*8SfOI3>EE3*+PKr$ow1OK
zb|CfU&;v+FFA6Vv&yCN{K7eSkA=HMr=VX2?+r|Y<d8gRE-p^n{7y~fTq+a;)r`a(#
zFBa(EFL83_h{t}hu!W$!g;{)B{WLl*>u-pEE@;)1*K^rnf72$iza_Zku+_5cf>^nj
z)3#iE!;GP3Or3EYlo$1+gBB_Ud;xW0bFGt?SP*muX~(l-g3e5+A?KsRxZ@{()0{{1
z{Zz~Cq_pKEQGLo|ioEWZjv81@hAA&FH=jDb##%s<){yAe4e6-Fu^N=h??`%H7XK4!
z{B7T@Xkm-51}*jJ(i(y4sN+<2QWuNM9irC@pwHvrVjTs2-hU@tGGBnx&P#Sy)O2&H
zw;vnXV+e(~&^)ZaopKTq0)A`#&NNcQSyz+o=e*-P31$Ax`F5DoWvIjK-=29%z;Y5U
z?Q~M4%GVA;d7y>&gsXf?qk-m&xe!p#ktHsAuY4lBT;Xq2EQNxVjF=v9H{HAq3=ZJH
zle_)T4D3+K@xvr{QH_Yvy9rm6PbTIJS!X75Ch!LnYs)bOhUw>DQehI=n9(4NUGxOq
zd>Rusgz$8YB|PA75Ok90pbx*B_Ro(JqPCs8GVxvkZrt(|B1Qjhg&l<&cqY#Ghy}Mb
z9+d*i#HioLZ8{Ed6el^0Hm2b2cfuAVE*9Afvci-KvUoPNw7%<g+Z`f@BYZkkfdMJB
z9>?{*&)%Y*-u%ixQ%Fd8gZHDTLaz@#kqsKMM1{L9_{6RasIlFsRK#()^=T4q!BI0B
zTW>?^)A%{=nQt(GZLTfR6HCgz*TI)IdgVq68}Ml&M-j-97Kuuoh%nfmXZe?hWWY|U
zP$muoF+a~Y?R@J6EWIUakfD}(^vy_6;RSzy=A6NPEv^@yojuFV5sJa}>WpCr2Aq~p
zJQOTs6Ay2C`}#{2qTQk&7zV)gG41h^e;dY9`p-*dp}3yEl!y~mmdS|X&q>+o;CAg5
z+M_MI=5}&dvHIJBP8-=9FTd9s*Mo!#s#j@bK8yvQdKQ-li`@3+3M3)ZBJ}ScDQxM8
zbE!WAHu&E-v~&(I+9H+5G~t%FF*z{ypj3YIF)uOF%Ldw&)x?#1I53o_HoYz7tBDkJ
zs0+LpZC(P?uNR{1?WdY$jb3^xkqm~|3zt0?O<G^+KjHse*o*`{QLRp+`b5~wyszEL
zeT`r`fFXZ|q~2c0%$!hB{B6y*YaUB<ov^!~=NEG&BXO$64D=;gYXHCTQ81yZ=0i${
z>r>=j5f@i|DYy4WE@8C3FaF(JW%au;IH>Zcj}EtrAe)rumprK2whG%TL~W)VPWc=#
zrZlyQTpWCwYZ9FS9_FFzD&l8xu#PrPjVZ2Uk7ZX;PRAlISqe2dS@VGkI0YpU6va#g
z_xl_0lL4?vqc~z#GmF7{qaX7#`?be@5(T}zYm09_g_ZDnpaWGvrBji64-do#QtX7=
z+lVdo&3z6(8JaX(#^x1!zB3`O6pWA_r}1MTa<OsJfL4@-m+#{N23<4(sW;0@B8#%W
z-AlQWFmq)|CPyH!rcG$pG$?6*W%}T7OxCF$=V)X@*%BOJi2J2*?5zMg0!iViIJFw<
zkVe={ce0DunaPYEv*nDm3tkzfkR;kJ9<Ib@TiX?lk<qg|W(8=>LoENslOTHRtv7Lw
z+!Id3Pr;3J_1>UU?IXvmo}@zdZTur)Ug6>XFU;FK8$<GA=b<ouS0Z(8Addi$8Pua9
z&RV0Q$`OzI!c5VTj{Y+dGCEqqi%2Z`=C9F}w9xQB+io=9*HM+8kh(eZS1Z^$dJIIe
z@0>IRvg$u@Mv}oA^dKS&-M@~LAL~w{>U3u`=dP!~sKNPR3s+J=rIpcE)i0c4rqI@S
zzvf!3g&K2O@uY_q{oR2rmcf-u3sLp8%V;1<kw`REdVI3@hIDPQWx)oloWh4>K55}@
z<Q4eMJ)HWxlh>K03=Q|#7ERtSq+bduVinTJ@i=m3kF%cxJWtz{`KRh<6804IFD&;B
zl;oECs;|&hC3(H<Ntn-R`Q&}?Q$sdPRut_4T|e|w_^*(;EL`;~ww_8d$DR%G(cOZ~
z`cAaR04X_P&^f^8O@t&Z4)a6B|CX5{tdVNU`lc%!vHrwBa(1NPmXYO8Ix1>`S^p1X
ze;w836Sa@RU|<mf(j_h3ol3WKcXxM*N|$tl((s|XL6I)$5>UE9x;b+z-{<{3=e+Bz
z;~&ae>df4GW_DitnoF)&qy|DcFJ0XPsvV`YSt*l(W@6TUDo56jfi7!bT(x9F9xp}{
z_ke0q@czpV43ZmZzJE2YYz*MI6IHD4&zwxYVz+?D-pc=-PR;SeJ6E3Pmt>Q^1b>Ob
z3=AaeLAE@h9`8inJ&_=3fMOlnU9W59LOY?c)1Q%(92Yhr_QD+Fe~unnV`b}dbumNP
zOg_TPj+MpTnU?{ljcGGFSc{JzAKUwn=vXrpnRIS?wM^@Tb!oPeIx3aL9o4-BxiQcY
z+8OW(4dcycWghy_DwF??+EwD@mdSYTWMa%E6Kp^h?tPO^$%!aa^=)zD$WZn~ww-8%
zK&gHi=V&MJmO(UY#>vk~9s;~&779LD9_G+0`TrT|t+h4Ivq}Dr)M$}qH8>VEqz|J5
z_F8QF$Y|Udn_Fl(X@$=2XAWSiRriQ%ixA*KpHLi0{;B|uh)l@7y+6sw$bTPt7R5ZP
z(xP_C>PRq~&zSP{9;(iV!#54~C!brN6LGXnl1uU^D`<E9y;Ilx)F-8p*n~#<cg~1J
z)J&9mcJqJ!+v1}Nht}0my3+mXJnY(@2PQ03go(HuAx}Q+l9I8`Lt|A})+HywPWO*%
zNVL)~j!}6;9y)G(G8)`n@GBD(c}B7m?$P|OB#TnlM1R6{@+pNclA%(-xW3+}%S4(2
z!To+>vI9LOa^1sF@*lPSl8vC8CsomxSWlgSQNM!JCAa>fXQf>Mds1eLG^EP(KZ$7s
zP3|jbX$t>yk$?pZXvN|@`Q4%En~6gk@U>tSn||G$fUi;JkM-{noALT)uj-snNtP#{
zlsDnptllenlG&Y?8C|%B9RcYrqWmX4e4*LC+5`CsX@^3`DZ`<xK~2{wN03(qN!5Ul
zu1ni~zQj!S-S$OF%ckssF_DuyD@)FouVD7@kmvFfUP6nPGf7rngGgT3=f5z285<xN
zBP&f0J8M+!@pc22Fk}2>zx06aZesEx7HwGQM)SGhhy^SdDJ*C62+Q7?e>yNu$}?Ww
z!W3j}z_OpO-5jIFki3WDl{I8>5?=9gzaV_+Tjqaqy%LQZluV!B=adR%hQprK=QVZV
z4;|Fk7Jn-7&7kIe-|O#kD9@XANa0d@vZw^E$(!^Eywn@2SU}7Uav-9);UbOJRzFpz
ze@rkyp<IrgBnai8FNpXr!0)y#>#6bUn&gv~w<d;P6|~uOq*-&~B8u5q6YNxINb4@W
z4XU<!1RNE^vmMTW`KKnKC^QKtnS(pVAm|EpNr;Xz&nnwoGe4uy^NMr>L0vykfOyTe
zBErc38Paa~eOw(AW1lunp7}OQH}NMs{Q!@U<!LmOA;*mPzIKqrYxn~I6o9(oTjx%x
zx@fV>5<7FO5ZG3CcU4rBxuJ+GPPL7#kmjfH{$TA)oKd<6CT&BBu*V1bIV2;v|D#`X
zE4cCGihaZ4$ot?qi$_5>;jPV^Vtu5w#ME&JZ}62z;C|b*F@9WL^E*`Bz0l~KaAw30
z4uL7D%#VQ0Hk!pR>ZUT)ly}ZL1n_X2S-Obw4SU2Ld=a~MqFo`~!~aEnBZ#1Rn$dfX
zG<G8Hxe@ZB-1Y9S{@6-fIeYqf>E%fdgW~RQjOt~Pbt%cj9DY69?Y%i{j+}hUag(1k
zRfKkL_U&xrV)_>?s4eFnrP<yC2USnn140~cL_N>l=qGXL|1V%LzXz%}AGG)OZw71s
zERwVFh6l>JCGG}bNS(NX%J-H4HS?3HTHKh)V9F-aIMb$(#w9!51cu_bAS40l%atu_
zk?;w=D_x40RLnvD>^B65kd=%iXJ_3%!=NGA`5(ha3XZb(%B;K15_(a={KK|sQL@vO
zRkW53MCpLFPm|+0GM_iAd<`CS;SV|FAWf;Lb@Y#Wo|$+u5ta_y@p6;t`I=$Bv9Nl4
z-S{2NkSz)yqlgN8iq?O-17D~W_m31~;#NIP%4dcCg!7;v$44mid1=BUDeF}2v{}0}
zeWb4hX%TA)MCE+;U8j#^nBpi7a1n5l*iA|XO`UZ_+W!z!$!jr_C4oPHTg-~j0kIss
z2kjw<OK)9Ypqg{tDUob#U}*Xa=Za|6Wo4By&m(vNDF*<I04QY#Bj;D7Q_azhpVnx~
z0DSltKih>DpZ)7?ga!!zn+E)$pb(r0IN%vl9EGhN=u;hSJpaA)6dY<7CBMZ0Bs{l`
zoCLK-7do5T6wpoSFs`i1WImE@GM86X6$>hYX+%C}exSDs6&F`hLj!j$-IG2++huw<
zmg29w>hL@-FQPifQcWZFYegpci*ZcCgQf?ToCVI+PSpu_sWm2h?DG4z-^6jAQJ|kJ
zX*E{KkdHg}tJfyTP3&bE+~!jMevO%%`Xj2~12^!-w*RiKblPvR!nm()w_ywLQ5k^}
z-ba7`KLZ>Kc9%P~if`Yx0dkAc>`Opo5(m)D0lmGFP^ss8FuFY_K42kA0SGFcI}i1W
zg1ou|f{IjRb`()*ixlV8e4*>c|NiSt|0sA@YOU=-1BTV-u8E<b{P}zD^q*wbO!|)@
zHX+Mdp|EBtMPSrU{>sT<J~!LZ`FS}hCLQr~bp&_>a{|FX1dIJ&k=&H3`(@7VtbTn&
z^xcS=39zLB{+j!3V5$9p8m`-Mh!0wpgsd$8qIV$-R=<&(0(Z6?BexFFs;^5)|B7)0
zA1Jyk13alv%*rY=CeWF~VIlWe*645V0{+0SsV^U=o;{vEL;k9n{%yOE$aNhlIM1Xl
zZtN%{02OU5wCfXl5y%3R9@YRYc3)2~Pn;ev{#%`my;^@VI|E6v*#9>S15`-^MPX*Z
z74+eoFdR%-isvtWLVR@0ee=v^$oHJglbvgP8mUVraUFd;W%xHAj$v?4Le|r*7Ft?O
z-!_GG|7rDUyAqxnEVlc%g4RQaZG{E74%=~{pa*im>^m?LP_r49Xy&RGYXWIzR4(cP
z$z7EqHTbqfCPQQk9y_a*-Z)U62DLmx=A=YUdy=H2Bmi?uoSD%W86CypaiRTNw3Yf>
zw4M0^6lKPmSFf*wK#tdK05vfMO_sELSn;8qgFA7sy6$~lq63fn=p}=O_J|FHs%!Q$
zY9boaKJG}h-VMP&D{wR47xQ}R2p~|1orAbEDr=%hkco!}571DJeV9Q*Lwk&bL=HIZ
zf==zY(*O?g!_<`8yzi|yXon_m(y<ltTpLVtUx`y)2gFE@l9oSad=WVRA6N$8jZk&v
zB(GGq6x-7)tc1yjf|QX7eSI{E3d%Bd!)_fyw&M8d>qj31G8OPdNjEdF%&BId!s>Qn
zWMa9soWc+nbDkl5!o<2r+1p~cmKUB;f%x%QY2Fr<lpt*8aT0+Rc1{4(6l)R_5qU@$
z8F+BupyPe43=oGlgM6o2pp6os1s8R1FR%bKp6GlNR{HqqQwv#lxbGbV4K)+F|2N13
z!$qb(Htk$(?CC`F;Nl`1QrDxg38vzTkS8vWCO(U=v*Dm!zR^0pCfZ08GGM$9-_>kk
zzUMO|-%n&}3-x#A8ItX3@uebnxt*GL+X5WJ4(LET?Rbh3CVJ$?3)Pv!UHn^iYG%88
zdm&Q9MZk!_0Mv?2<({sFhW~I#tsYC#=EA$;>;J`$={1a%M*m2_$}@%wH1Dqz6E*2E
zBg#6C*%^zFUw`0P-1I>{DM7b$#z&67Rp;+Po{HpMf1OS4RbT%}taaY6%MxnmP3Nj*
zz|0GcMw?`+Z*AcSIg6|rBSPWrD>Ya7j7><0Y&Rtz1fWvFA_VRPLAnt(yvJhz(INnT
zhr|ZhC`RQUh6KEZ-7dbKb^kvBD}jb{SV*M_g@yPhFN%%ircF+iOrumah12swv|<t(
zt{WEu+?rE$cYbC5vT<6!;Yl?|e-*lMBEZ4p;v9^R1j=-_#{3Knz4!DC_8t)4XfxcS
zUBx^n%-stoxyj-??g9`Fb8~ahtG)cA)%RA^8Ze7-;v>s){{Be%mu?H0fcveQnz)hC
z^6Q;P5#STp?r;<452?2=r>Yzg+%b5%OQ*$3VDGhJVk9fif5p(jQK0eZ&?B$+FCP^=
za83(CeIYXNhh8iD39rtFwU&heu{*Tj)y8s3;_SC?79=FCKZ*qH0U>46&BYeL7csgY
zEQ?wLVo9X6t7O1`b^uXpT29hm9B)nLTZ0B;I5J8~j=QD&5em@%q#W0Cz;|n`KCf!!
z5NB}3tW^#-78p#xhoCJ@?1UUfN>1y)oUh{)LL_bQO^^06kGVF+j|jwX_07DjzIe}E
z<Mr;{@bahi1>{1Bq$tc`u%5Aed8gf<N$!WMOx823kn$aq^YhuMo_zfH@vo-CK}*io
z{QMw534w-=jwj>XvK%dSc6B)9z7)>Exe}|0D@u-ug>^XZxu?&b!nG8}67hBEZ!=5x
zpVgzW^1+&Ts7I}3@6prL9087G=_5O#p*A;#H!%{y+oBFX1*6ddQ1S7X8Z$*AqT4t0
z-DPozih51k=OqCc<i^FsR(3D$*Vc%zu!eNyJrU5`4KP`Q&Xd|*05~zY+!OQU*|Q~p
zMbHPZLx9fnB_>~4yS;x1fNo5#yISd92NJo`Nh5Y%-JgiHypPA50MHKt=A=6GQh|n4
zOj<QTb8{*{sqsj=(S^@Nj_R*Dp)0Ja`DolBr3L_)<K#32$7AeO58a!?@{0|n1s?^R
zw1gxQDt@*4qhC$ZIxrui0ovcxt7bbluN**lR9*?p@r}KWK!8iciM1aI30={2BX1-=
zS9B7K>A_+s1GDdq7tksY<6BANuE9vQgiOm2=#P;CpOD04hyWnZ9Y)N<02Fd_Qrl_|
zxJx-|Y5$^lxCWa75`Z+%K@TS&hrq2SZ<q@Mci163<~4!bS8UJwyT~8Bl?u9Tmrii4
zX8!-Rvtc1`i(6RbM;5+7<?@jZ7_K?VprSIL({xIaeojO*y!pT2Q@;gu`)OV+Ze5*w
zMIWP{M>GYT+{mIVZ7YLGe~doPELm6?L#)HK&7O#gnaJy0(I4JbU}m<a?WvHL-?A~Q
z{ND|2k8_ur{)GH5wQ=(JAET{#hNMMkQvIs6iEWBZ4h-$x<NLWPN_OVPY!ZYh=|L|n
z0v2S|7o-^P`Cen8q53K+DR+U}#q8S7Pwk6JB8s4iGshNRzEK_~9ZJm1*%qiA5_A@S
zm&oDDoQva0s=U09xvTjOj{%N~9!ph8$zG>A?fLzm1c8cNzbrNz(w>-HClePBoqV$}
zDd}0;vhHweIu;6x&U(*PY|3jmvV{GE3JrFC7V+i<>L1k$*?;{QkN)85sI2raEzRwf
z7uwhYpR~GK8kWCkl<?3t!G0`_({F@6Pw!*rWtm1)))E^cz-lMfb7v^KV*sm=Cv1QI
z!wAZ?%Llz8ad>{0z`XaaYs*Ax16ReyH&VpdvZs73a-;$qA#avIYxjxa+sJ46;@n9G
z5u|Ns>q{Xb5wgHfP0)OrRPO=#se;!HLFgXjcGEvzTu_)dv;=iW-9-@QU7(;=M5{Ac
z;r&cqr|P3*J4oL8F_tDAHls>!a7NYbuKf<*KzI^WCt3J8j)9xO8g#TSCrmCLxurO@
z%vzS&nLf!Vnw>4{k#zgyfB490IrD3pcnG3RkAsNt%zt?5ouI$8h!AkuSVU^dOfxVr
zqdiePGB8HVM3f@jbp1)~bKG>qcYzmaL?T|r6D#1lbAg6S+QABWtsUONOQ(=K@38g0
zzTd^Tns7GPQE4s|1B>IS>=cqLq>BMq<qpQI8u$jN>2=M?k(+B;zE9#Sl@pO2`n*j{
zRe8u+-1}Z|DXoo+X4K+TWz#O#p7Z`NAgRLf)0?b&OONw2*nV!Qnm;qBTYg0D$=@qq
zoI0x5Mc767m$A?B^j7`$l-YFp^_nIUwvJ{yrx+6D<XF_yiW5F*N!Oe`woD2q^+*L!
z^q{T<8dQPTXlPpAEbrOX{SxdbQ;jCAkV58@iezvZgTycIGIZHE7C(`1%Ku0_wRq}t
zIe>^lQH#!7o%qu^k+=Gn{rlmghfl337%ruC!blOTLQa##*=U`LVZXBr9Yn{+&@7&O
z$=xF#OSPkmlP_q!Ru}fk+T`ZwbL>@%H8+&V4X?me6-t?YaGzV0nSw8#X>M^H6Dvf*
zabHB(>#kfY&T{2B3-fBVecjjGCXZb8^wa~C*2SIcB^>L;9qaLKc($?Nb3g#eMq2u%
zYQY%$wR~5;SyWbxu1>pL<CYk4$v|n_&h>dSE~c5jk_N3|V+S)gUHtkFI3g9$-|}A~
zGCLTgm=_O!%E8xF@1>D_1RNi{F^ve8Jtjr|TTfoi2lc4CPkG`_ylwg|;r1<hKY;u<
zlFS3C(GM|pQjFU7mV(Pa5;%O1$ICzKu&n0}H=DQ?i693F_3QMI>n-B=Xlt1H*gQE!
zw$BR#584kgS!Eimaq7a~iS7bS^LvebgDiNt_n~fWE{2`=qC2Z0R_`lXNf|xi;XM=d
z4{mt1M?oVBgj{aG+XaP-)-%TUh7l6pCAtD4%XP3K=O_@Kn-qM&;4%jF@2tYXxgR!6
zDcGs_JySOJsbg&MV^eR5Q~-Ch%w5GT`-#rN3A0GGKbgPNa=<*the;X0#&hp9FleG8
zEqu^bEC;IV0O*1if!tWWpn0W*HsJw{MGqZ}cyje+UQzDNo-teOBtE{g*h5V&DzJSU
z_F>ZD#3X91@gYG~>=y}|ki)*L3f<tQrXl#cJRn(GkB^_{bPY;C&asP8)83i)FF3*+
zeP1~5vQR4uvzB$X6NKj7<y^1wi<ZP^ACrH4G{VLG5k8Fsv=~d>MntLg&%6~8{vV8h
z!-Me>3+RBt4emMcFU2>D>-iwS&HutqEdc4`w0D(#Ju}O~GrYB3eK4HqrdI0K;XnH?
zpA|5D0rdd$Gx6{zIgZkgzxZJiDFflqiTn#7yHT$!w?bb`Vn*R7_Y+LxJ?<ZB!+S0|
zj#Ik0%}m(;R4UthN>#n@`mm<LUKaxnSg7vr^TFAj0nZ80?7C(AgoU%M?^4kY*nJ`K
z`^q=G(urr9GB1a@77RffMCuiC$+A2E$Sv2M>zh7_^lAQ3$jyQJT7@uiDn`-sJ5-rN
z{eya^U<2Q-6fT3x9K2ltR}^Za?{`oUV%m`L4<51MoYT?Ki0uIMHE`<*FTO%O#EME~
zku>P2sJj2H;4y=(d-_NNT0`QSIzC5?fN9B<J)QP(<0imz$3=h8XL+{ORBT08gz)R&
z3)N3v_Hek+>8?275dD|_KPL)(=DRq{ciVx;TTU7JQd&vI4b^m##Y;Q6+y2kai9xP!
z<^9G{A&{94^qmYXpIh|Ojt>etdvdq_*0;Zle$|H$!PyzRli%M;RZ2gR+w@3XTIv<n
z&;i!qP{8D%=fWEfQ8HrrPmlNdbJS(<SHj;j?kvH%e*(LJSkkCy!)V9A%8F9B=lh0v
zz_AxEUI}=%chMfX<TXmHP1f-?ohf4SgzhB1gNZt=UJRS74a_vF3k&1kWxpyG<StuG
zf4A6{V<U`)O4*0|1kK!xg0+fQ8pm;;0mx5LHyz-IEdK(3wbQQyOf%n!e{hg^${l>}
z!K+f5rSs!Rcsm&pa_vV80fs-0`Aa0T-2v*>mVUr^HJQ(?2?4+h2}n~~NF5_TGVXHc
z;QjfXya*UI0`Jfq58T|RGpJ4{M%p)wG-ixJUUG9QS~$6%5wT@jrT>|Lv4Yml13fDb
zTG!N(@Ywa|M5>e|B-Y{oTm$n-s~S453K#BYTNP!v2q?ml9c-JWdLs??Bi!56HHZD+
z69!7*UXpVs^2lv;COYl(f~o25xDBeLlDKr4T(@9eJ5*nr1$dh%Ud9bBr7I@BDt@C}
zoHChUboi&C*$we=MRL7~Fcv*g{F_hX+gk_VI3wMOa3=uN7Is!S&R(sNsw8i1q9jWr
zo**z+AG(KO+rhpG|MApm|J66(-_-Q#SxWoEwgSGzdT%doi2*eRK*h9d_D|zQv6q&V
zr0z}f52P*<^;E!_lmT}k$uMzb3*|^!U}2Ix1YaI3=qK|dE@L*YCL1EWQ{{V~F!8==
z=Q)`QYlKD8yg-ct98G`e$EwtgS9p?IPbBz@=OvRm9$-E`#Z5&|9jw2<M?tLr3BpUf
zT|0?Z)e*8$N2+HRyUw^2=(W%aA4EbbvzyDOhf;EIp}8EP5O4gy!qg0YEi9ncw<#cU
ztHM4>T90XX*w9XXTU?gt3hRv!Alb{TQY0*W{aShF=Ewe88)IJo>(|Bvov0-;k5RIv
zq#yI4e>=Y}dx1v!K0<R280-J+%uFn<*pt!L){o>Aj}oPiPSxsPtyqa7ouOmGCK6)e
zO|cP-+2|dtkD-=ueWddhwmROxNTl|AbU?L?kW&C8^rvgzfM_&yX|>Nj-r$bke%=#@
zoPiOO*o3`BKM~c+jz!`r%YD7IP;9n+7l2x`j-A_}*u&EQJ){^*pfu@@?5X{^Ls-(u
zTWyM*A{Icaxw}4o!o_<dEe=OvjYvj9;saP7A@8N?iRZI;`-NVf?n=R`$-Wrx-AvWm
zXW-IR!P`V89DCACE4&>y({4v=JS>|`d>0}AHCz;z@bPni<pNL)R<J=6Qg<VH@Ko}z
z&CAHin=lRc815ha@cs1DJPg9>6*YBsj9B5}G+NUR&;zUG-F;{vbRXB>|Itl48o`@S
z$|>O83GvxGZ$zVdJVj^e>$Yn_b>jLC6N`6$%J=U_2hQpvz1RV-;~^Rvb`aQ1m(`-}
zF~oC+AwSVmTYEKPAhdzjD8L(r3>hZ{aGx);_I&<I&BD8OQ9qsj1|f3#`(s;1lr;9x
zPd|kJV*N&Uj6qj4$ld~w(v+tBY<{!Y8*GT_B8E_`HT$uQA|@*8wA|eXatBQIiG|*D
zZ=HneG27=-#S6%#$_NT30tG9eYT;VJ+1CjeazKW@>-UBGVXR<iFaZC6k-Dai)S^kM
zY3hQ4y1)EWc2O!FOMqqQec##lW~_JSU+3x_u6PprHA-cXK^2`RWSh2^mYj67bM<|p
z=nep&BV|38lMbf<l!RH5fG|u0<)6+Su^1bVJ3M+Hdgf;#9q@IBiPC;z-4{gAe^{#N
zQD_|cdb(+i?Q_F3H#-}dPB)$pP91Rq>{X7c0jEh!E;DFWW(~YkIT#^Un(hug;YA#c
zk6953C0jlXf7m?&LVxqmnFOA&K4?(5et#VTODpQ7$s63U=ESsOV_~KX0GvLM^KrKS
zIsO$;#MyIqB|M*jje?~ZXSqY4uc~9oGQw_1>D%X&7bi{Np^+XY740<>br<#P?r%lR
zy_Q;H-lY*yuL08D5Wu;Fc*M|+#$(-3QKJm+to2#3@xxFz=eew9&mBExrYY;ylP{wZ
z5`=48Bg@#3!$MjaE0V-Mv8wv(4=$25u(ANj^@)%uBsf<_3K^Nv(ZB+6Zt)G1IdvsC
zY@z=x(KM1TLzRQSU163Q4(+GS&5MzQ7>cG4D#o#{@oJQZan-R`LrR7*PcrdssHyR>
zJN4<U-d{uo9b4kB#*VXENQEMqW2<wPDUzv#ieiGK>KWd@ty$!-;H&nkyYx2M^C8On
z-D!b+)zT2(hcF*necI7NUpfZ`Tx-7F%N#}lGA6)@i$?2!ka4+P!(0^0oK1z`a$aHn
zs}+1-`+wBs+vn0b7byqZ(9?F8p3Xih)!$!?RPR?yLlF!NdP%#Qk%yE5SK0A#((o#`
zY}kUG>9Zmk#Htd7E9CachYkeo<}ycVe|<ME>RRr=gxaeZWpWxgafinGysEI62H6h&
zRbt)=JtEa9e&Br&UVHH9+R`BWk~3^{=-7`H-Flu3#pSOhB*tz3QAri2{5wg1lH@Aa
z_Q8`Fc6c`T5I?~BXzCj}Lrt#)%3THeCReKQK-a_W%@C%_O1vRcikq2%9L4d@udNE;
zMt+yObComB%ok3ZnpQI4!kowKY|U{93@_!~Ctz+_3f@}Um-1TLUDg>k2Bzg{Kj5AX
zrH&?`nlk~EKN#XF@!u-Ac0selQqOVZJv(&~jMM2}JH)1l1Nl=w@@}xNMCv)nHrGa^
z50#z22O#V(#=;+MKHvSfhM_y-wNzMFlX$5*CzMtj5rfb6Q+*|Sv7f^}SMJE!e5dz<
z?=Scn6v+O6;Aet(a5a}F|NH;B0H*N)w)>^3<fDx&<<L~2y|fRC>cK1Bgo%=?vdWK-
zR&Al?U*E3BH|{#VnL_vfx>G?_X#X~SxenAM(=|>xT$F4mJC}avEIw^&y%g{d?wSVe
zz6YoNjr+I&s2EQ<v?*lwt^**}z_F&e!$?Jh*1BG$WIXjHYhye!wa1A<*XfuxPA%=T
z7;g&jYu_+GINvMoU)ou5hfC#n84UOl{Kl;;3V;tFoE?7WQPS<ET$Lu4U-H2b(o<!1
zL9cswG(^HI<|?d_cW=B{Ko^gRuIKf-QVHJl!x#yD$eys?L8#2-Q>?b!UD}=CO6W>|
z#iB;aPcB&zsg5^TPigiLIC4N~m<eZqw!Gn`Pdk)dpLzp%qT-%+E|`Y2pCJ(n!z~Ma
zQ>uxp-SNBDx09ZQ(CU4DD)(ON+T;Mi=_)+9<*a3h`YJQ~w!?s3fB1zdIM?Ul|ElTY
zp=FKRyr1mpj715&H&cHu?0BT!&pmG_QrQ_j_H_67I)qoqYp+7|rs@k+3c<gt?Jp-D
zViTsTIngEUIskQ$zUxGcSl=^gT&)qHzkd;pKd%-4tgRlvcTb(H^C9cfa`z@xL_G)Q
zZE#L?{R8)AUII_*-=w?8&JxA(vr8*IdoBkVGX8LY9t!J*ky;rKy4yiRcb34g)6(tS
zVWr(msUG=VU^_yT%ScQMT_Fa{-o0)wv>4L6>|X)5h+PZ25|nI%7^|U)TO|PWv2byv
zs5`a2;s7Z&xe4y4o{aJGnXjMd2mwY)d(Vy|M`h0E5CDv#9NcUNDEEH{?2ZWByaizM
zXz4WiE52o@={8_u9TSsKJU;fQf618^D(kJQzbN0!Q2Kj9jvY8vQo!l=O<%|W5gPCf
z!0I30?NoBxk~2gbaaZ8t8dndWQPiUE9Cyb_VvU&pa1%ye5gJKteO>cH$^P=E3?Me+
z7D4#)?csg#P^4o3W&^*F{_R+|K5+9B+;4y1*0hS|z%qZ=bueOUX?B4ehhaYx*~u-b
zvp0P}8zYg*Y{N7_tLxMzps1`UE**@p5Ql*d2TFe4?#Ub|!^?Vi3y^zuD-M6==A8q)
zE}Sr~N#_&{doN$#Nd}3SKsI|dTi};8PZ~GW1y!TdD7EcX=YgVYP4|6+368T|id8OS
zG-3bcbshAy#*LW37iiPEUjwzWR$h%#(G?Zh@lLa^H&I32zr*ND$))-j;?;c&0)+F1
zew98(M3v=O7DH!#smeawh*Oym5OnpVPO!j-s&C0b=gs%-k|6=WXJx9KoAp*`9U=$8
zoJ~3vwf^U>Hv^yX^0|KFf_{Y-`pR)YE_das3E=5#m5txw-#x)zAWesG?{D(NrDwVU
z^MvqK>OZ{)|G8JWXMuzFwdij-xKsnzeYN25&qtMIX-9DL`?CBcWyjR6b!SHHI{X@q
zSip4`6n~fGctL63^T|jdQ^-pT`bzQ9J2hMrZ@XHqe5&w^w!;GZr#a1<ffU+FrS2E%
z6*Ap~NowVZ2DN16&dh!VpDAU@v{`_Sb$f}0BD>mz9vy^;ybo~b;Maib|64seiyClA
zzXyb>p_!Q^fat0nq|DuwPN9PywF(O4k*-ZWt*))%k3PIe2sO1rZa{ANZ~(9BC*r57
z2*~RqiUUMImaey|Twm_t<*6F{XIBGGK*6W~W(afyRPH^6Ui3N-PbPRpuUQiYsJ<iG
z+5{=&(xpLLEa*f>f}Q|-`0$~Y;{e+L{URXI%xP$7n4W|VQTH$`zxq!kIY(t3`=fWG
zJIFV<-e|c`P~_1kz5)}1OdpxRc8&oudEMQ#<gHCL@}9M4Z=oDpi6;IvkEofqFqqmL
z{r_WUd@jQnXlm7kT1o-86ER?H9bQ%bo6H?pErJ;hoVdCZyJGsAd=M=Cn&$lV%H~Mm
z4_Rc}*|BDoRDiyoV_i4!fcjST01&0GqOXjH4{7aznlylh3_vblcGn0M^;94R#7<Kc
z28vGLH8N5Tjsz;jT-J}laA2W7-Il_Cg5Kf&G@b-aoBAAy)5>Wp-h*z^RL|Y|Fg%VD
z_c-W3i^oh`X{uE_B1lQ9RD8?NoUppblHI^}Mdwbfjc|(-sorOKA2d(_rgGv*6(|zp
zf?%MVw>N$J`|s+?1UsF=je&bdncE3bCA}Vp4oH_=rH_SHxxqs?!_F|S{GGP)I2u*<
zb06?>6(eS-|K(n52I#L|jdf5f_Qve-yU@IJ461qvbx{jlm!CK3a3oD1s;6Ibg~D9R
z#w!FKv%piJ6YwJB1!OyP^!QSeWmd{r9zP0YvGyvX&L~oN1Td=lLoD!VneRcn<+pbc
zs9`&pVtdHH6K8u;6rsLss8c->6cAG`5C@*VsI07n7nhOY%cmnI_5*LJIXE~ZJCy=n
z*i^u^9H6S>?w_BZZ;1J-vqJ<w=JHHK^ZzIy5+-Fe1m)n(ujZxhofVi6k;h*PplY-k
zVIwl$<K(IlSi01b9@>pzOsZxI0{G!QUE8$<0b_P<LLx$84=-%(rS|pYx3{L?$23Es
zC&)h@3*Wu7wkR;8=xe3&*-dXLHYiBQ_x-o__LLWhn3$NL#_u%9y+unQo%kaa%|{u$
zVJJ$YbJk^4=zG8BWbL{6GpGSR@M5WSHjOWXhl5|T!|xNwL62E7j^KCXe?&#xIrlWk
z^khxdwWz$zSGX;&&5UmyobAo^J{D+|B^V2?ymb8xqTk=I18<n>8@|2voR@t2e~JyN
zyZ-5U!-c}T52pf)1N(QIxG>9TcC5>5#xq1bf(gkN<+w}8v7yk-qTPv_)`Z&wu@k{n
zU#VC4!YM;iuWd-+`KIG(<(_N&{?sH-exV~es?o~VU_P!KF)yJ;epRvDmb*@VG4Qk-
z*rfLMc6el-r{xU|$zV4~=M8s%)&pvKxh6ny2A(5gUt57_mY1LNYdJk@q(vwv{NS6$
z8`GU%(n8;3%LTG)S5z_6mZ$fAv>HAbr92(B>Hn*`Kvk59jt=P^cr)<gbZ;TQxULR6
zu>I>3%2d1Wp5S$xhwo->8h1YJfJ*7n=6EQ0W9<-BN;&d)A@${AYPxFLq+5Aknqqg`
zA?n+A(ry|U1m&nG&i5HP*aKj<!$j61%wlq=xHp0iJ|hr?XmG2vRTgjv#8ArFjKxPq
z4ciSyArkU}Y3+a5gSi34y@aHs0eH>O2>=(k{@S}Lp1}sm^qDKyCQNj68Ky8?x5iSb
z1I+~+29pa89-s_BpT7GtNOeg>9{w}A#R>p80$7uV>m5zOgF9WI0=_<)hw@h7;RT>}
zAO);yhl4z&zpsE&26s<fTH0!=+ZYrCrIT4VK6|dMt+9YwVT0=)L__V{P73MEDik84
zpThASFXs*SyZ)3y46jOC2m3=r%;!$+{BVHa=HP6Z-zn(vfxR&#++x+rRadoQ6++)D
zdtd|)`WV&#(q_3JFMSadNy&M5Qh0XjKE%ex1{`L1?s8GcB!36m+Oz)|M7&}?RI_^(
zgj3xJUq^GSKtc+_f~eb`8m_w4c4w~!eIklq$*5`PlOp#qC?IQlCHnu?Qa(v6MhN|@
z?s8>K&Cb!;^schRM5~CU@8~wbh4V4JiGP!RVMEDA&j3<}ydEaDqS+l#l^X0Z`&T1u
zYfGW6=;%U~W)T2V{qyI4y%Rb$g}0#H8#suM#*1JZaT~NBGzguzu{vJfN<FMYcC34h
zMUF2bWj1BJ>O{#2pWVH$_uaQD=f>@qx{pky*ehshL3>uyOfl-t(;)F6H^b^5+*;Q7
zeb5`gf|NG_pma+#$6+9d9)Q8XlPl0+%KhhDnv+{tNV$7l_F-e9n`)wAbN`A2(=&k9
zBVTrmeGozb40kZfGmwsL#+l)o`R6@VN&E{yG=g2RuA_LLk+~z55S=EM_WgP0l9!U#
zGTY%>iwO_9WCB{#rbDNG2okCOozvx?*I@pT-P$)YQtKS<=jaaiw{P4RbtDV3I!Xh&
zYu4ldJskSPhL<YboYJM!YUHoS9u@yD@$-FXoKw=xqN}ydVA0D`4B@zWVv_tkRv+7|
z$%km@whS+?>$8yXb8tOP^c-SA(givPSpR&-v-(<Q8>7+=VX?@s&P%r|;2D#`hQWcQ
zg>AjB5omBAsy+anyr=|dzo3+}u<*=X0>#JbdZPAk4yN^}E(&CYh*X`ffE#*}X#p}q
zX9kM!m(*Kj$ubaB0(!|LCYKX3gZO~@2~sFmvF-A0qmA=$p}__4J*ht~C3O>=evUQp
z(hgBkf_y}WIy=agAX%r8d~jPV;y>EL-e?C9JupARzbt`I=SJaTUiGb>%Wu~gYSP(m
zzY1L#$Ll{=#D_tIuk0!-af)jv>{b2`5<%?V4s5yX7KR*13x+|C%^!?wGD!4`l+-j8
ziLJX5`~^S73!vQSA@0w~OP4oqmb|s+nN|+mrWJLhWT$UyUDt-?Cr@v>bQhAOqm#DL
z@A(yxJr{;of1v)x9;Wugf~v;mR424%!a}p-#KN<BXJ<%f)>G57c*0^>$Ci%%tyFRR
ziGoN}+2eapABUiIBR`o=kT5y-@%1(GE2CiSA&XgCO66Mhs&)5`@WNh=8(JI=48&D>
ztCl5KnB1t%Ld`Gf=ok~1u{1GuBrGC2^+t&fJT)94^7%0w+;aotm4_PDmkAm>bgHm{
zPul?jk7%_s7?lt6ct20og}qI1Q<3gdFg8pHvEZZL^{CFTo5(u2P)Slb-Lei~HCJjn
zaGVkPo@#`(MS2eo4pHzy2pF4KFDch$&r`?u=k23n4sOxaX~Z<FvW>nh{yeUjc<OJz
z5v`+|$9`;%u70SVvHR>@rEg!HH(Rx`RFCgsOu-eGwmnj`O*Sy-LNnZ9GXMs>PvA!a
z2PY_SaGqTK`-50@=Hl&9)LblLPZ{liaw=xzxv4he2?b8gSElO83R;YDx2l#hjfehh
z7oUrC{FX!sM5hpQC`D;ldUE>7Oebk*dJ2{k#YJC2D}M8L#onLiHA_cU4dU1n@~eI;
z#u2&e<_w5XGii=lQ~|iWwMGLsv-YG+lUSDM;1lN_zQt#WGx8dx@4w*|GZd+qYg^VH
za`n&;49HBxRy{DTPm>IfRQVYG<2fAM%hczuz&xor6N0ebWT{AmzyWgVjkEf%s=fy)
zh(hi6;xW5)^I^F@a)0dAuQi<l7d0aJ3oJJO9ETVCSko7d0~uMIAT&hqYzO2TlUdkA
zXgWIll$65O8m)qdgZtt6cl~*&jMv=DTw@q72=NG2Y6$svnhShdE4+M+FTHy0$Sjl&
zjKcey6xx{uXgr0T1gd|%>Z>@?kx0{-QptV)ExFPsVs_=N4;b1pnvIl3qD0*DIqU%(
zT$`X6bV>qv`&gAVPosKa^NQv>I&th6u<xo_1~8c%3q`>Rs=e?8?IZ^?C#mKNO}^ff
z^VpR`n)X-{Q61X7M4GX9=lcHd!`D-pyI$~$w`X;deG4?>ErlmYdWaHOVPP@t^OeWA
zq*ej+_!y;EKaIkPP-*ZiiJ+}fhdxcO+svlq?fGw4WtB=z<8Xg!bG~c?-wz?-?=)m9
z2X$l3sr%Mc;};e%uuaarz~pgegmWEJVJ>~3Ini1@0Y<*WQjxiMnWdhmwD)I2j)$ho
zK&(E3)stLe7?oX{g;<$GT1L?XZ8YY8g!$5{8r;RTmKBd$gJO1f8mDfb=pR4mB?7GC
zb67{;1`Oncb?Zw;$|~oQzD`2@gKHDYwGz}sAyF~Cg2yCs^E-xIb3N}CbJF8z<b=7o
z=JJ!q^^TvZq*Znct9xt<qj@%3YQ%F@Al7$Z!vs;`;6BC`7M@lgk7899n54{CCXY{W
z9h8wu<71Y^nhR64M`b&yCNrZQuv$zRg^MRq1d^_14_R%ME)ES}<{V$Nd**nU`Z`aN
z?UYk7HLPShdAn#yM&@zc2iGP~2--b_YQZ*`9LkNz9%ge%_&|n5Mzi753gR9{R%Sga
z0d66z$c8s-;WtfMC1al^X0c|ja(&KEe3}nli%gbZ;n&(E$LEGJqZyaY6N4e&2SH0l
z#Pxfp8mGJmYqALJ1wBJ8opM#fuEN!6ib*@s0~M@2A!9{nhiryNSaC@%Nr;+f5&blU
z=EJ8t3otoucFlU1H-$F!ue7IoN}j8NH`L$R{Z&Q?FTgRIEYrn^(^OVz6w8r$r2JE*
zAX>0e(kj=hE3&2%FNB3|po-F5rI%KQz%z6a{Y`C_gYU)ce7naoQAYO?OWeBC`hoz5
zY^7MEkTxb*?l*i$aXb!=j~6QBY*IF6YgC$1%SV&*m%KuvX1}uFo{s1vNXZk{h-a2b
zVcst94U-+Os_Jvr89WZLLrfzG)%1qH_S*4jZn*qJW^Uo}o>0dvUBMvhjTR0VJ>cFw
z5pV_bkX3C)zlPk4WB1A&iD!;Gvrx9G-sm=W(PF2S%90jJV$WkHiHReODX=%kq8?^@
zZFBmtVwUu>5$C?BzH?>E>5LABN^SQir`dk#Id&Q;RLW=i;55GD7lgL&;-hi0$Dg#)
zjih+KIk~Cq69UET<r0Df^tj*BiW=Y4!X4xkHupnc;9x8`hw6*B2Xt(7M~SM(2atg)
zJ`)&toMG!z$leNRyzAD7ORRh>RAV_{c)cLvx8RDu#@esl4Cb&MgZZ^bXWPT4RFEvj
zp{5m9)#2w*%8hjY9>qXsVg4S6j7&HG&gW#6QlmLfA)1wxMP5M1E<M^XU{_oQh~gvi
zUqMsLSyua8tRiXHvi6y%Hw^K~WuzRBzD-~=+ksh)oa!#XGBqNt0-U<Gt>!%J1FX7i
zWub$5gboSvIqUJUzsGu-X7%i@YOMK&7!Jq!;<HwQ%?bp9(uJ{;5$@sz-7JB<!cQD}
z=5AKmggTr$iX-T6v<acT;QTwpi$I!%(d#`QsSX#audK&JOYs(0Qw;tMMX#5{D^>BH
zSwfa!4-)_fSsDiiaCRmlOK|gq6G%T|0F48;^Y{fkTpQP{?|!L=-eh}W4IVB|*-@qW
zZNZUz#uI1t`^m=Y7j+d9ThA;Z`^p!H+n7d#iC)0PWi!wxGm(nVp_mFp%cuwG{CAEO
zOYO!U>uq~u1{|@#{t2vJso0#Jf1$S&v^aiPl~X7C(0`ozRgt`MOzrIXA5sH04oda&
zdYf=OLa87~Kfnh=mo2rrcK))Qkn4)$+&aJ{QU2oV3PbOTBobIo@0S1-45zR+UZvTx
z);C#-Nm-;;4V*L*j*fH5EHlOW<?_TuFTi)L<NQ6SmhtABaqk<CjYcn{_03wMvU3hq
zyMG5gaW*G5)rjXWGE;i3Up;{}u^v;nYO|)elo<=0hMzx;WctLFls?i4$3ZeO4TKhT
zB>D2!ctv%snSZHLw3FkqnfFS?ZQKB+&TUZ{Ev##j-Shs8f)ec5pKS&RN+Ys#D|O%#
zMMRh?Ff!-$J-sq6J$lqEU^s;G{fh(vutapAQZApWZp=luT6iD&5R_>$(@HH!rWRPP
zT``ZXJXCJ0I=Y?M9^FJifvrUuxH3h#4D`BK+LUNkR?ck?A_94py@4)_Y+-%<8y<ci
zofMi$%dA#O=bDIudKaphs-tUp-M2SmzDU+l-oMJ7{V%ox13kTUO`<EksU2l2DDpaJ
zz6~mwfJJ?z{41}VCW8+(+qz%Eoq3L1hN*qm#<Wso{^S;@pBN3`@{1`R*vM;XnV5y{
z-1nVP|AJMUAQA1;q?c-9T<__WF+kBF#_|-13Qp)gbT@<&7uJU7uW62KHf{^r9N%`F
zM4+=vFtc*&nMGJu(GQ-b4)&dAZlewp7uDEW)0K?-wwxD`ZA46~U;I2nB`yJ928W#p
z9Z+lo+)Wg-S;`?x#c>L2<gtRD38tsR^df5Ux$3e5vdKlE4y{E|1z3SKQ$7kxqnVet
z6{_%~BUgtCK*Q|gc|QRoJ$MGKNq>-81|zPyfbP*vw#>0-)#z&6I9uHGTZOg}{4P6f
zUJ_l!&g&Rp7=B>>9NOgLr@KB3w6Hp~T<qrLWA(*vWc+JoUIVEMCYDPpIy)1=%C@bW
zHOp1-W+avM1-PHeGqcj`je?-Lf%6bI9Ov47+Dhm!<H60lf=9p@0AEL8Df38oQs;C2
zV|GPwb>L)8&3rt8+l0u<p_+fS-$)IcF0SZ&6IVs3P~Q5wLsXEi#!z%>8c8H6J{ONE
zd8I{sv}-<Fzn#LrWFP)p1?~0PjNGw~eVP_>qtChj6Um5RL}zs{ZreM^l@S!MG^15G
z|6NQCn=3xZB{`SYjod3f<tY5FnrF}l!@ZQqU2zE$tWu93kru)d2_Nf^N-$rXN_jz$
z_M(dY;|H+E=Hr7x%w&8``@G>2!B3neps_zgnp%*^%({5|OD`QYY`&l(;F|hRENlu4
z+Ya-X<&rJfnetPQ4tPjwj4Ka3GOG5tlB191xNKGxqS?|h?XLx0sPUd!9!)j8kr=66
zTQRe-aR{P;?i&IMbQa%#E+`kCJ>@HviNibcYZVQY<?<-wlg3AdoCF%a5xP9OhOWJ(
z5Ibr<dNK3eU|cSPi%+wH<k<XtBSpTKTRKVcPCMU~=2+?I#>gQ#e|QQV0MoC`GI0dd
zKjN=xstbG)<~e3wtpCKRBb5&0kTF(|>UAP}HOD1s{>Lyjo>!uvogtbf8P)#F+tJ1G
z5#`45Z6q@d(f7NpUWh#0&`D?(hQxq!?lmxTxY0MG)gX$e8LDis$2rXO&|SLi$9AHY
zcC1Sdv)F*LmzK(7SjQjWY_uG%@fDhxDVjtp3N)^Iacys}gS!lOgbA&WQa>rz!s0Z)
z$s$G4;?zuR=h2MS1gzfi)TnW}j8>a0!Gv69_=t(a;`_e&7dl+Z$BFUC95n@XH6p$<
z?&6KqxG%6UzKE4J3O<n)%kP8Mh(Hd++4gB-OfB=E_k<up3J)be`}mXORX8>CJ&S4r
z4vYztS6q7LvdfPLq??7YBAP{HC(C}kh@g)*E|^$Sv=0~Ss3yc1_fXQB%>?IHa*Ou>
zp{T@iC*Ww*vXiE7=c#@Nn5ONQD3ArV0`2J7#GIU&$e#?SHVefaDh@fO7y9awEJ(&P
z2C-|sKf;QJXgDq{rmeiZ0^TU5=n@gwD9Ov1noXTs$SZ38iaq7p4q!%0>y>ucY>)s@
zOqv2B81R_jzM(7x0i7Z$(jj{7afwnjY__3s`ZhYib-OMVbwee9M%(;}yCfdFdV8RZ
z^2c_Zk>o&J-8Ln4Z_C=UvV6nk-%%!eRC_FB;bD;qCecz!5<9>3a~rQ)3+#t0hy-RJ
zqtT{L3LJ!we88luSZNhv@m?;oAac=4ac~{7a-1TBOD7Fht@xN|#8czVMm#}^3<z8~
zF6K4~ICv7B8d1{5*teq~8m*`<A)7<Vje+qMfd-5z==%~Hldg{y#BsXolR3U4`i;am
z0VbOCb8N?5xLgh{`F+nkj|p|Vk^|@{KL%R+90C~-)a;TX#iaH+@UW4))_KttSIDAs
zLYHG53V+^}DJfjUr@P&D%~)8*YzK%wr1hrR5|zoYt3|{koqnG)j`dbzZuoOq{={fG
zmt^Rs=5=1vkPS<0`tvzd?1tD48zS?>q~)=)L~$I^Q>xwoV)8nC?vat1Nf~GkJA}V;
zjEp#lGXObYSU*~>#R*}iyH?zOc(GWNK|@W=G`50dk!x(e_nQJ^yL4jk00Cpt!zsUf
zr|J|jGJHEZ-OK6w7pbhptQY!}QxCzI2&CW?3aXV!D{j@?3d^Y!O+-a(3?#f#aqT}t
z3CH%4&+o&l(rAKj)>MMM|7L;lVj@4c!}S}Ry*z5K0}%^fy<vj`5Uy+>-vednRIf`x
zYkb|YWjXe{cZXWwphXgoU*23QNz$vD+pM~v(?;AyC<%T;GwW7Fk@6?%ro*Eg5XNJ?
zP_gvZ53h+E>v8R;r=kzkW~q#EvUiDgh|%tqbfEf*WB=`iF&H22cPOy>j4#2}zNoW{
z3n>(ME8$o!*(|1H<)LI#X+%h*Gfmd>X|&48^2$h?XG;KMBj}mP^!@jfwuM#mSs?-J
zNhU)sj7)S=;7(Ti_*OrKX*Q%uNd-af#mZV88#&$UsO?<n;v<?vp8}uN((-op<ob0A
zjNQCaJ&$6R>FXEbp81;(eO0l>BCl9TbT)<yBqN99lRYy>MEm1M*=U8wPZ>rloa)MD
zI@k#CzTj8JIEV<rJQ7LMW9L3m<dB;|v9n`z+=>hHJ;*K#VnLhGt(IGmIpS;9=cha~
zRVLPG#jl?BHE!S&kKV>T%_8Qk02)4aDRYT68tXGBa*8kl1s*od_?+u;I_fFi;^x2<
zC8gQSkp`9O^8v+qbaeB{{Euc_9so5fYEZShN@i)|5)I-#y;x*0;Y&o+SNGs9;%bXu
zH}bo`-ivQ7K(fv$EOUJjM39Bj_0TGrfJX((R40omOMoH8+RR6(`dr4Ep?LJ-nhp4g
zDkAN{jZ|V&h{j~xk<)zB1=6mU^u0awkFuUZ8vQ8v%Q+nq+>gBwsfo=vzQ_%t7RhQC
zS>qZ!a99Tz4cPj;qv&xxvjUJ(Ud+4^S{GMLVaLyxf2|)rPgfY%<?8gnK<T5*C<{6p
zAB+6-?umA+;!+ldJ}E1R65xJ-_etU5ygQj?np;o7;}E~3W{lisP-YO3P}Gvq*(6!S
zbaI0YZ55oH6wIC>MVXZ9J}T6#+R!VWaFsUYpV*%gUs<cN4PXXC4<ma9QA3yDT^2Ov
z>$PLH%`}4B9E`w)u{;+kX0rAQr(o1lhKTc!&dBqTPwMxFu^5$ACOy7&QUTRVV1ANr
zcm1%yzISg5k=)h|aWo$KdPGj>*nBq67x+BRb0bvBx~oz>_h~yC97!3a+>*39B~nEO
zWar>!6@{(gfctEP{1Rub)P%Z%<jy-^^xdyFT(w*p@snApb)XywPgk)%Q`GBxTre`+
z1r*!-N{x$e%~Eb88nv*kpRo!s;$S7wGq+!4)n;4q3<;Kb<{ZqoijsKox#^1~OKhgb
z5SPH{N?C@}Qf$9)-eTtYD@bcI*6q_Fz`c}sn&`7rGMgh4$g%z*dB@^eY8|YMRw`g4
z=AI4?e5sL#F+vl!*|VyQS{!Z$z0m|QZ&^nQI-tg<Tf;e}oC!1735tfnnV4}Z6P2;{
zD{*v5`9ihv1US{lZWrb4Ca?H<3W_4&?A4^n6cZrfd_)2#9s3(@6Vi-EwR#FQhndv4
z3EMfI=k0UN%Zs24ro}3^{?_#?CXN6jZ{gAfCF4<vH$N23Y@V4p$`?O<3ahSc`Z8O!
zESx9gC`w5sK&cM&#0$KRE^<gdPTVkCaqu$l7-+^SA>eW8-aDmXV2}gPDZxNXm0hPN
zUEc_JI3f#hW?NjI>`*f>BrNQys;I<+zx`b5wL%jT62hHQ0lX1C_4trvWDCa?1Z)1I
z8kfnvxPmMRjZCVQTDPO5coXtR_b9ysa8OBET#ULbWABxd#xXm@iz2q>w<Zs-{NK*A
zY5H+xCt|2P6mW3a$YA3zG=`)4L+iC;Zbp8=VLM+0-UHQ+ii*;xv-<)#gR4viaOXfZ
zmfLClQ#`G@!^~x~PHD?Ybtx4yvjSk3e(U4Y(xg-R^y$;1KHVDy@XTfacq-YQEA4|}
zGCmw4!Xv4P^}URn*Lb`g)QYDABAsr{4cQ%8?sSAQR)@XxJryF<pEw(q;<5zaL|jSK
zKP6l34snqpPHwRTu~&(e!q*!pnK&`uE;BbMCNgETr*94RH8^WAHY278Bw|E6#ZE<f
zpbvQN;(_t%;@XGr=!Xz9qEKG~!{phYC2|SC)SH0Gpi?A9<gIkLHl(UCQ-HNlJ8jhf
zIzpWQ#V{2y@t3W-p|w$t)^nNW;|WcT7O#4n*6Wi>D>S&zii(E8=?hItrEXHjE)T4c
z`$iDuV5`+t77=vv1y7ci<%Z;6GKqx;@7%H(ib=402ElCC{(vwxUv}#mtolots940T
z_4)fTPDr1FNY=gGPz?q$px^?jmEP+ZNa29h)v1MI(rrFPC#RyPmjzw4lgEJd*lfH|
zxdHHG%bg<zwtoR9<uJQzuWkt$TH#ECGYz<XsrN^Zw!(`A#zx~Tl`T2Q+JEGz6s=Oq
zjF0`Ud=clAe(#C8f^gNQkhWFeJM#@Ykgm4WRMOg#w=Wj+AE$%T!1Hax=F_r)GFYbM
z<~FhwCSZ-U6wDw0TF<s0qcA~xP@a#@zPh?XA9N<1ZE)V2#zG&~iJ0SO6zza((>s#*
zopB69@%@6b1K(rwic)WV*041<c<owhl8sWApnOj~K8HI}?#?$<TH1K}TxyGV?tQyq
zcu3^P&z~m+J&L2~7&ybXDJ_sp;AW1g-}1Wce<q`%q1pQANJT~EP_IQzP0hV!pyR%R
zAu*E5<v4hO^T9h;)Aag7Gl3u{w$*hxu!^^p8~oQDzT)w7Z^O(tYO+I}2Rb5OeH(7w
z8mV!+PmqPE+3>A>G5JJ3Fx>h^aUM&bB{phZDSoz~Kl^0zW7MBsf>i_R!{;1R7o^Wi
z)<fIcUi&^kh_Ks?<g*q6`;?n|(y_O+xG3wv&(5wA9v<H8Zj|7>HL(F&ELCi5N=jO9
zE-F0&$jB)(nrgmMXwATX{NOiFbl;~`rKwygQnjgARP*v^b%;m7Y0uQRSf6TX=<1zg
z6|72Uk1$^a_?-m#788D?1KeXjJbJf~gmB}2DalHPiK6ga^x|N`s>moCX_l%GJbWJn
zJiQ=cwEIEi=V$opxJzg6;3t;L?#}{nMOE$X?LD^3yI$b9pKR$Xt8(;mpNG}I{>nIW
z3x|B-0{2^w@u-V0qp3)D$6JeNR;I_qOsg%|HvBeskm%A_VkC;x^i(Q6opWR?w`-p3
zbL&n4@5VV<o=_42DN<#0D)6?cSb7SMzMF~g$W~POW4yJN84d1&M~b+4jQH?KMDN#U
zfqVDGIFGvqYf>eE%s?l*1oz6T@430THar}s-%GR`oo20TdrT@fl1$Twr^*dIop1lp
zN`1KTO@G0^1NZH<?{OCjXrH`w-IqI1&r3)1Dxw&Lxmp)TYl9r8_W+-&s`gdc_DMH?
z@gx!B@j-+G-K<i!iLGEjc71&hZVK8c2B8TV7Y5M|=L*Z&C6a0AkeHs{XNG(CA6=tj
za|S5*ZYzIIOiQDa04HkX;}i6TG+1Gwf|OJ!DCv$Zt?kTIOG(AkMwusH%<cJ1!aU($
zYAGo<m*&;-f3CJzp9^OPr4?^}66M;#bAL26hl|`cLn|mJ(Oj?l$U=im0xP?7qcI_J
z_+f#NsToM$00ZpY{PabhTt*3a5I_UKdw^EeuXO}JXipvqn<ipEesHv1Ikfrh8N;>=
z6&&Nb`z&si#i8qQYdFui1&dK7t@qcc-0i7hKA+CBs=nBm<9hz0iaC(r;;Y$xH$SCH
zE+Of}?R5In3QF47*r~Z=L$m%c1hbkBB<F;MAvS|P>Weks8`E&2g_bE_L&L0ek4-8r
zd}M8)7_}#X#VIT=mv0Y5*{g}_+nsByHtIn;2U-+7(wod|ENQ24AMV3<&&KqzrAN1)
z(HhB8z7&{b@1`H|8JiBGIGfM8UFXKz(v0u1W5LF4dribc8Sry>R*lkJB%wqW+)FQT
zqr-xNezc<q{537$`RPhbdaeA#MC@YqN>O9u|Esj`0E(j9)<sMl1wjcC1eBmiMv@{)
z5s;j7QV=8xN|Fqss7R2JpyV_|oIzm_$tVgxAQ^@vpdykDFr>kOw|e-`x#!(?Z`FJE
zb(K{X)w8>M@4e#p?X?_hcDA>YGBYQ9$$9aL#U>@Da|!BPy}7DS_%wWdeJ#sxJZ5KS
zmx80p9-rPAaLC?TTvLRdUITityWW>dyvg`PpqZWr6c3MeY7<586Ap107$kj6{Mq($
z<g$&eEC>C->~YT}Gthb{pD%@XL)Moi*k$Eq-X|eW0M+H9p<4Ow^b1B}b-(U~u9n!j
ztj-TEZ;_$3Nxy%?3a5zq%g-_EveME;4Gp#^d?+~(YuC7a->t8&4;;1oNd$r=`F6h{
zIcJ(TfKKITGMXdT+jpu|ecFeP-Zx-5E%}HvzPON(2T}2BrorOumujeQeiw*K0T&>H
z_2u023B<jpQpvn-@uhO-V*+nv(34xuPowCba1arZ5GUn1rjFJvNGKT8U1nZe6aQf^
zY3Z*+PUuq)IequTT0TpMq3;ttRcR5yA2dhC>_h~yZb_4i6IW|bg#@^!HpmHSy)vlZ
zCNnY^2P;zV-5UaeFdN_0bX1r8szT)EJJ~B#G}IkZgTv<e<?WCFBI`Q>!q69Jevq0@
z?pn$X*+ll2KK?ECovA*ajXIv9CF_OP!eS2{a>JM8Uh14^I$IVS{qihtFGY`<Og$9x
zH`i_)K$2-xtnx5H*~jIvgL1~3neD~?#ialu2DY1gD=~ZZ#iY6I@?|7nG5%FfZ>T%a
zxVKj$#4>9VkFTw}1gT^sB@NzkO-2=4-(MTExE^r;Dogna%0KDS#XqrcMKY39O>7W5
zG~NEA7+)N>sBf{lRlK}7v^^Rr_?u8T>^gXTOM_armap<5VB%U9QATVDZJO~KW|r^H
zPv_g=^54G-G4*sPu}eGhI{xyfyV+{1*zG(tTi*khf3$bsMuL=bly!6rt9e=@@-V6c
zNNA*ja!f5Q8qZrU_JG;CiU6W6C5Ep?O3$V7@BHRnbw>?^3cr;~a#R&;PAH_E5kP;K
z5flkP89wZuT{-$FBX#soAi23YaI2p;un}(?;Xs&s6d%_E&~C_SS&9eAy)>JWN_ilX
zBMpB^_+*SJhXh*L2)2)s^D}+icu7@FnQQDeGz*IBjf%?E(Rz_=Gm`LI^T`Pue)t5s
zx_b!0D7aIY?<M1f$~*@<F18craVp~kl@ov?e>zdM4F3FW<2s%=PY%kXE<u*~T9ex?
z!Tz14jiL$Mma^>&g_>5B&y_ucnRlYgPt`iQB)SOne>V*LChqv&>8!|ac{E!4*;q)!
z;@YD<6-Gn2<pcFEvBqvn7jnBgpR1p#^%;L}jC|AF<E|bSBvDJndJc93tvP~5WGQV_
z+qwxEKIxpLp$^JZ(ANHkdAn3@;+&VzcoGhOUmi`DR{G_v(Kj#JPc|`R4B9t~t9N<5
z9kyN0!o~-S$2FU|KAj&mQEyKRB14CVLTc$+)8=fy(tJ`#_pC^XE#~@F8I|fiDt6kN
zF@{sE#ElELamKOiiZ;4KzZ6SlHd5;W!CH7~J7J4ij*`(pHQ$;oUWr=3xXiIXJLjdM
zj|{840qGv`ll%T)K?ZMQ1wwRc7ddO0IHH^^bVa%vE<J0VJl)KaS<AS!7t=m(Wn#V1
z`x+HU4lq-NqKg0MJ!&Z*kjSFPg@(B46b{KBQBlDjI`!S9Xdsm{-r2F!DQRr1K>DJv
zmYFK;Q0_`&QE80OWgB~a^JH}K>9S}y1wovLfdRH)>SlcVy!^PIOL9I40RlhnpNZGU
z=M8z+Q`Fe3Bt&{78!M{};20RB2~PB|dse3+5m_SBOT2(z9gFs6ChAygRE@R<%Ehv{
z(9^^qwt#n^yMaYWN!@m)#}Qr)h@mv+<(D^fL-Zi#eW9W2SZibHwe8i(wUivYdX(~<
zy$rA=Lk(=|t*n$Ra5{rOT}lS?O|8_;og@=EpEe|((@W8<wlgqzOtwvPv?yNL0Ecr<
z=FUq<KB9fGt_!Mn@5=e9XlnTgO3rPhXq|nPun$spuzr^!l#eQBiR(13aR=L2MQ`WQ
z>1+`b>Uk3-`PiZi_a=Y8f_Cv64YoPIEmS^2+Aiab7wZub7B0TP&L#7DQ!l{oey4tm
z#HDM2C?lM$wo2S%JTM!I@b{fnhnu}QuOiQA>Vc&ENrBPPd7r{%1!gmk{vZ>M%3iA?
z*Pzx%7i({rC!c<Pq%)4Yj4ki@*^A@~g^3&JqRukV+=A?u%;H$d$&+p6`MjO#L&Czi
z)xz?&pwS@6)W^lK`_v{b`MKWFjpo@KI>M$v+3ewbu+sGmG<QvWzl9{3E$Lg3TLnGN
z8r-(3j24MMGQzho+|zkWpan10pPc>TtfaKZqKKyU3GeosL1c{P0xbNT;`AG^9H}gJ
zJ)=)&eSFexr4LF>pI49|-S5<+RbfwF1fMOoJTTb-$;eSLtkEz<ocexsRTR7Z`M98G
z$>MJXEXEG)^fy#IP@%E3@*I7>-w?x`b2wMs#gr7Bq4d4u&Ut&?yO}N)qd|oRpm>R2
za?~h^x*U@Nj^O7f7%7veMg+=)z0dt~<G8q<o}!p51(3kunxsb_Or;AcZrY<;^mQ1e
zP-5bQl-swTOGFzLR6Y6O)egfb7bA><DVsra5?315K;yW8$9vijt&UlD*u5);%KV?q
z8^3I{<Tx^r?lW+G#xin=_n-}@QT$kB)3CsH4du(Oo&3xp$IznPU$*Y2RK)xttk2J?
zl@t+`<KmS6ozGSvt+%2#^yurWu`%3v24{_=g#&WIOXM0iGyQ1*0VE^}ovmClf+O-&
z7#w((QeR}`v%PrSuIqPJsExm><5XlNB~?Vl+5;0P{>=qT7+q58Z=a`T9^)U$r|Ias
z>Ct8>wXHktBt}aLvP?#&vSb}9NvqtvmO(gfx}fZ<Rpr*lm`4FBA*j~Sdm70ZPmvZ@
zA7n&BqYCx1`W;Df^|Zs_m^-RI#HLy7eCzCd+fMQIHpcEv1uzPNMHg!VG!0shv_rHc
z9kh2GSIO~DO9Y`Am^}(L2ht^ffz6Aw{#(*Lldy!;ri8WCqaHHogZX0o-Gu39+)w+Z
zOU=58`?Zq>D~k&q3Z}c7AkUjO|F86R-+P1KscFwjE%Kf*ad(~;pe*Bk0GzKe6yqka
z*eu~8%=|ij(ABU6>oAaY-MM_OXO(TprR9FDZY?3l#iH2VeSwDVq8((&|CuJ@ym+Rz
zM#iAc=VDUwXJcbAzw1bL2S6422p(~o=NP*!`Uaf;6WhTSIJuNC?yhwG>N#5U0pZR#
zcC=9Ir`)=9F`wG1t|=n}oel|T7FUwrl_%2}(7x_-A@0YU^n`E5$y>8s9gA-$9#d0~
zsvtn*joo?0ycY-N-Q-t3B%?8}!!?Wj-TXTbcu1ERd;Da5;G9C+(YJrkLyX)?VhSmM
zzrZ>-oR)d0s`#4s?JAdcu=qv|vEz^&I%R3`!$FN5h*nA8jPGdkEpSq{UN|G5)|YPl
z3vg+7RWj6Axs-%ADH?V+c+qM2*_~QW1vUP(Ln>+PYvRax-7R*pUQCmK2P!`UMcj7b
zmf#Vcf78^1j^Qg%<G&*GPR*I39;gE2l#iZ2$oz0(aI{_z2>zG(x7C<A_5{Sy&(dnF
zt#N}<mng7G|8-uszvpVVcz|U=(M#XVH8x!hl!&EVXc}|#Q^VSO%|CdL<Z-TfyPT%X
zHIlvkEQ|-L&NK#XIkB8j*V0?`7b=IQ!!Q-BH%nejArrqkx}@}!i6=9<cvw=?WWK?r
ztw`p)hMt!oicXg@N)r`uWQg|=$8)7|^-7zj$uJ!-W5#3pO5bZ}YW-z2`m&8((Y=`G
zgzgf~xd$=J?l(<_;@a}YMQxI0wJm<cQAzX`y>YHNMH!D({_44KE<qu&9>%e-Y$Tu?
z@A)enT`P$j`lzw~*UQRyKHBHWgpj~19aSNv8Pjw&>$d4hg=rWx;)J=o`%spG>VO1%
z9Id=aQlLw}Vf}E8U1-{=hmLbBLjg6RguLiDT@;^m5IN9e{d)bIdTqd6Q28`zIVCOh
zLpuF^QZoE9i3lkJE*f?ih)KBL`0bWbKci!qfk`XzdvFK3OphGKE`2ANuc&LP|7TUA
z^C0e!bme|N4Y1^-uip%6w%;YNvv4rC?@l(=K49Q^9aH7^oPA8sMUY7|E9cOpzdHG`
z!J_}n#Gr2{kTVpBL-EEV-;(%%!spwMmlBZ=+gB@ypc8=5sAfMpRfe8^+D`9jV9_a>
zB*QeHU7+o0wR&inRy8eo`@*eUmd-!bJb7RFE6bj3d`h+_`#B_NYXJ%|Kelp5>P%}V
z=@Bv%)yc)90`^ybk=T9T+^KDkuPf_|(lZ`4#2mB3MwiN%jOiVtW{(mzN&oTuw-Ft;
zB6`8gx57-xoSg8QX-EUbVk>@mCvb$dnujf6cXLJ^pjN$)ZBF{>(orDhYSg(k>V*Hx
z|Ih5DG`>o1ts@jy?aNhTK-6Xmx&}91+5Pa_OwP4bz>|0f@f%E>*Zaw4F};Jw^Vjqo
zC@)BLfCfg44R18zKE7>XrMX>vFZnX_D0YpJ^KH(5fnKN`$-+H<o=^~so5T}8VtB~6
zyk7}xR5x1(ew$yBmKz!5?%drJtok%e5{1&TNiJIrlWzTA=th~&=LV)>$@gu_t&&e$
z8KfqO8}xg#2!(vJX3LlfDlC7cLyz0OdQo$MUt>r|doU#Bd->cU%1g4A!&m}K<Qoq{
z*MC0?oOCwI_7<$@#N6#4aNiQ|WS3AkYMICd253cSeC$D2Vsm3iDWtamA)4G-H1FhA
zlD~?uNa12lhmmIS_!E7R++@Q_KNVC?dU(zSTyM>JhlrMGVUz+7DLwNiq{cg=c*vn{
zkNM7u@vFsKdpDeWmVT)a;qCw#$%|M2eRhTYN@FqMmVnSng>zGlNpkir7nCHgS&rKD
zW&@EVaN!xRAa3<43YR6XIhmP~SNLc`Cuvvl(wOawW;I55SX!BSkR8mhkj*f9K0NS!
z2oqTe&<P>x9s6JvskZBb+Q{nXq<|WEF@9D@%HE_T$7uz-J+>n1qH>;m6wt}~6>B?b
z2mURIjL>rkaped0YnLoo2m9Q2ay&!H9>)6#iKhOb7(Oa5`D2W<>|1L)8ap=!+aYZd
z^3Gqc)}aD?!dq*9$HQyfE(CZJ8>1H&WBqD@R%059vwEh+FYwNZ=u62SK+Gjgtx9_c
zC_1u1T+bH!E^m2F-w=B`py*NkhF3}$=W*ft&G^*%2*ymt>ylC;yq7jFv_b49q>vD6
zN|{5dz)0nzk?*4DLv!dC6%nDD{+cz5UUCe)rS-Ttt-heH)#)nlR9@1HZ^i(&LpD+h
zsGhG3{=7O!`Tcn-J|Wg$bq#6?HZ_{%TC%O_Wg<yuNgu4Z{WJ999xooEtB~7Hd-2WC
z@-m)hBm*J9fixDv>VGEtf;;~a$w*|#l1_yzbZ_x#$m(egEmfRjyS*!BJ@HrV#j~Xc
zxO==;t@zV&(w>R-ukV<i@@(qkcR;OT1M(athp!;85EWInk_0!?-qFKWKg{wv^=+Fl
z$Cc_Wr9~8{(eHuY=g)PWhjN=T4TFGv6QXOg>iALlM8X3SezX91ZVIFa|G1+%s$$Ja
zxv#0`O7^2YZX<Er9iFVIqbyjnCo=+q?=W`O{t;^LRUgzyQEm%A1sLbvK3x2^*-us-
zkf<ZcAqFU7UP;T`y@59rq9WWUjtBMABmteWSK7{L^yQQIm@9P#I4dfAKD<f%=S>j#
z(4P172r}m$(fM#dd#U)(@lGW%)vC^qyJQp?2b!|XQ-?bQSeC4gsqCB?p^GhI!`6HW
z2z1^)&$df}fQOxgFI2XuoC`I98-Bfz8zz~ESOrJq@~~b#OnGT>ePj*_aohS~&fEIs
zZ0xoQM*d={Ip3cDrJu4po8b-&0=eB%QY<c$ZyVb^1NDM394%abrv~Qz@pO%qlEMu3
z9G}@vYr(u<GeT1arJ6lUt-3GPF;(zvkd@VuKL#8eiUYdMLKU)Z+<vrbAN4k(6(y57
zGj{j?0Um1AbjGqWgWC1_LjR7*o+!exq_K<CSJL>{+KC#y7@g!n#bdvH+@o?<cv|MO
z6#cEThUh2{3a?Pfeq?*mu-<HcQ0CC<QS9g~H&iR(D9<RJYHD)JT^{D%#5^+H3Nc5i
zV649AwgF^jUpIadMM&b{ySN79dE6JjQJf?y@t&gsUt>NhD|7gj^(9A!5n8|R31J_U
z=o7z;qUGPxag;h!SbZC{CezukZg9)-bhVU6y3vcry1>>(pl$^TO8_PX(sosCxHoK>
zXT_d!xnb^G8Ga^>c?w6>jXAGBJE7h^gJ;)V#dI(Syg2sICa3h1Ir28(vgP*Qo<F#&
zQm*Oq>R(BTkACeu{;+!?k6=R*DA)0jQHf6GOH0QT{kBbMY1KB_-U#a(j?pMzb!ukb
zo%j3usXv_h;pLl<DYntDW`5A;r9;Z}8bfanO;*wGh@&-L?;UI0mm38{PfPeb*nQJ$
z$|v<t<o?-{wY?tubFOTHdhmifiZ9L4rE~~)d+k-~i&}HZu3Al*i*8)IKlm&F&u|{!
z5+c5fXeDYS@{f45|FWzZkk&J^zMIyk9z*9Fu=_TwO*BjopY}CpIgdmInJ}1$2(^Rn
zCvC^LI#{x8)!QqPBf1+DQAJWkd}a8&S~*uO+fXvNE#ms<H89&Mq;;#hH^ip%^$z`O
z$SX8V&7U}aDwG}93eDSVfLfGs3_^>=*VwGw6b2sR-w(duC8+<Y+PeTbrnEHtN+q<>
zE+8NP$%9s2dwY*dsd-^_zN(Ro-Cj;<EX>Wl487`Wpy#x2x5B!>g$tYR?e8Rxm<AU*
zrv2#0%pN$a8GZP9O}nCw7Rw)NgM=>qlwE}veyMmU;wzlQ@`WnMLICm|J}zpktsO&v
zSOEbU9v<QBL-F6_+H^|A{HR;eWoBY>hSJG3%k4rY#>V+@VA8c8qhtBX{=uhP>lV@i
z)?{M0oneB>#MFWoXQ;G#)z69a$<+KYryXmHqN%N7`Q5LhJqjsna%dxR<diKcXSyTB
z?a#(q_&k(<?ECuR$?9xgyzBO#O-(JWi%Z_7SWEQ1d(<{it&+6a9VXf=&Zi;Pu#p=|
z%;TPG+}Ubeo#Niv5KdzXwX{kzVK69VNy8rZA4wc@n#GiQ&h{0_u3LEgJ*$?08s3_y
zvw(W1mUw3av*!XDkX<H`h8l4Px$Y{Lm}2{&fo;g>OsRFXAqwv^*M}1~K;3%t<$%K0
zVnra-040)thS~M@_ST;jb5~VwomJ}E(px%fF*y}vpNI09CXO-9J(_QB-+i9=01;NP
z-0=zDStX^N``#I?uWyY9j^4yqR?bDzEB4Ix=IODvIkQGNb!TFsg|S7g|4)MIahrj(
z<#(g`5?Q_Q?;pOqW`>IOE4)0H{9S!iVp5XtyXwS5rfO?ZW@hG$H8%L3b2>&NBO_-N
zCIkL_ej9lcZk7CeTYtVZ>}AznnuA33UBu>pO9>Zv%$j5m4-D`Xg+#Bk!Ffdh2Y%zb
zXXUv$ID*=5p4hUjPf8D79zBre<#LeW2$D%gfU*Ps36qlVLExwI%QhcIBxBZ;!YN1{
z0uLcT4C}wcYZ)FFp4sk?&d58cCw=HuQIQ7h+JX?Znb{VjSmj0e(Bh*pH|;Ihi90L#
zzy7-?s#|%A{;;0>bz_0g)WoC+jh@b55aJTz<yDbM!@4Q7O!;yt4YEJkT>z@f1!fUn
z;jkdT2EZ_9(ih|j0i8ux)YaYKP@$aH=Wu8VUXxKFtOZCzV#hQB69pPk7!OF2u?HYg
zkc9TX{_26#kvOPi?Z@fq?ml3or@#*|Egb8{E!=f<M6dmv4132kCl)fNg~~^eXM%*o
zB|E6;oRpY23oX<Qe0+!__+5zuj^z9xdo-M)3f%be5D~it=(kRQrq;}ikX3La6qc51
zuTO?GLUrm|To|!ez0!41PytRvBO7+;w^;C(!<O}dm9}AI-=ySZS13;_C@M-wm3B+a
z%*4T==`+rB2wMd%2KjpS903i<n_UBk#p<$)j0#)<?FfWs^GWIHrO=Ky1>hEq?uh}X
ze$UVqj*ykKNn;(I*i1O}=rP$~^W?Y~p+l@uxN2;CA!>I-Ae%)wJ{a1TRF9+mAyNa#
zrHt^cp8s}#0p!rPa1>6kP_8IZNRjPc3J5cha%Hz71Q^OiWR2K$YN*1w5ZWE(>T!Tf
z=k66K%rmfmU)uHiHTS&xEq1PX{#RR)H=X35H+IcD*>Tn5?B73px8Er9|MnS_<0#1Q
zl;aVi66KnONObpqRR1q8el$n)n!xb?ScO;9mmGZ8QB72bGYrtG-Wl-9(T0#(K&qzK
zw~~^Q(EAUw%nI3UMnfS3QVz57U7D7esaNw03%;v^W+mn2hMSw4fomf-BdsMEGVcu@
zFDWTmg_Fq(OI4Gms;UpHMN`TvDttks&12GT&F9TW{5lr1eRt#6brGxA+8_?b0Rf<1
zQp(HAiBLw^V#wM%cF`}0`!y8}eOUvk__fCvX1vzlZL%R`c{4chTY@^?xi{BVp;byp
z#IC_w$h1`7z#stzKvWxIO5m(=h;hh{xNrw(iYw>G>H;c&cj2e1rsn$P-Gk`Ik9%Pc
z8=IP9;NZ3$0J9gSB(?ho%o<51e;b`t#gH1H$q?hi{;15&&FvZ;e<l0@)=yoPO0O#`
zq0N9sbWF@Z44Y(PO3InCp%O3~oS-ln&*%<7i*&Jq{t-P9>H}rhf)%-bHf;UqAFXs7
z?CS$CgsA_L^c9X#BY3E^l$7&CT|j$hrwM??AlqUf>y91CtGBhn--@x4U*+dtfkp=P
z^YinGSy^Sbr&@|Ylfj{U3>;a8N#H?*mE6OA&8v2?yaV~7{Cqx`N?5ZDlkAPpk@T)m
zlb-#eUn$t#0%$ZqUh)hx0;6jiy6Nb6^X9tFUQ*-(#i^CeQX$-%cd6pn?^WLH&csd8
z(a{l-%xqn3yx#6Nb#a+v%UWqw+U|uNQIRZa<N5+K;`;|W1iV~cUM_ve6<DY@fAF0K
zK#D^Pl}O#^5*+Tw{V6Ez{4gmc<tD6hDdmQjirn$5>y10($T-`-9x9oGpFu$JYu&Sv
zVeo^E!@<FUg|_zZQ!jX9D*b;>JZqp2?>}rB_U8+InDg}Xv<0{v)>TuhtE&Y56l;6<
z%PL8dg*95neYj`PEHjkk0#vB(KqzY;xEiCACS!q&58VvhD=RB~Im18$Hh-NgDa{#v
zC<BC~uV3vEOV6$p8a(v-&71Qf<ORDF;OhWX4Ce#D;m}0E#|k!!*ThYFHPa!w*{!S|
zLm&`7%Tm$szMYLf@=yg@p%*~4eckh+t(^W>QDAi0|9p)QXDsb*)s>c(CiTXL=EJW{
zSH5>HJV8agWGZdg093xPuFiUW+&>G%t&Xuv{mRSsV_v7<&c{O&dz8<+nd`y9br{_Y
zL5*T8md<`!`EII0&}%@3yXM$3EV{rM^MK9l$C)MTnd$WLc@AtonCPtjp!>%n?72t(
z-3#bqQv7!pV58Z6*9AyUW?7o3zj)PT@0YWz<ljDWjl!=^(|I|){SmJO)9qL_w(7aF
z=K1z411k@#j9HnjNVB*U9EoRUVVQ>t07KB>f(YiMePQ)LmGepM{Uu7@r>8Yg1gzE2
z(p?pmNWaD59Pk@r*(ASPckJ)k3sQiy7Bw?_9#&fIJ)<c%x_*#1)MohM5iWTF4X}-J
zU#vAXqd|&6@N~CgU~yhx0@?#sGg|4n<O`pO*34SB?|)}0PMVsl1D_C;f5H2E`l@7j
z4$pJ)??E%WL6B+Ug58cK7<yNCcUq?+W%I*ocErH?(JIfZPq(TN`j`Urj6bJSu@J1L
z78MH1?e^)-?Mqlr8riob_c|!-kM~=$q!_@)(2y!=ro6no)%T2g0&;S4!_#}u>w=Ji
z;DN;Z_gy-Z5kj_Zh>T+AW!lm=GJ2N3c76T~BX~0{Vu~3v4h{}_n=uZPhnw2==P6~j
z1H*|3=l_LdWz9gK$reL2w9K&FPz`~g7rM-d?8BO`(L(nudBvIb<%to7hJ+Ys3UN4H
z=v<%Qur>bEb*d#ca3;f_80#6Vf<~ijpnAa|fxto}MR*-6?QXf=9EEU(2;j(90+#@x
zSp-6Rl!4*lLU0~_<aZpSqG`x<x)8aU@&)Xi*OC83?y14X?#cF40G$Dc@vjw2GF;Bc
zJGwU_{8rs>H4%&QD{XCU>=O3(8$g3B6qn!(Ei7JaZ?88#d}DacSpZlsv9c3|sj2LU
zLLRH~9D?ul8M5)8Yde!QfUTM+RzArve{RqHJ=7l*eK7B<i;CtF8zbfi0=A8L87{_W
z39cUK5ru7dx7Kf|&!cMmbXq6oW@dnzLu;JEj9f&{NmlZ0;H^<6Ad>r!@~x_iv(nTm
zm&A9lf*MFumw(J$jDIyD>lOHxR5ibsUOpRINhm<`gPPggCrse&3=9~DEV<eBi&TBe
z1=8efSs2+(-|e7RE=);1`H0+827$Glu2nicnKKQ=#hM}_B4=!Pr_8~Ul#jUExVfGv
zTiGZgnD3*!CG?zGf>=fCMk*#VWX(b+RqCucn)*5@?AuUB9yRLU2}aF&XaN>Hg%2?)
zu*+)JM%^N<<QdfN^&YnoO;L+sJyjHPd<0xbhjvML?b&!89Ua8#-tqQMLZR-w+k7I{
zV2;9r7W5WlZE^vvj?T|7#N&zidG{`E1$s6_9+BD?9pVgL8EUj~0AA31M!Mh_Cnr|p
z+3C5ah`oZqbo1*f7e?4EqA6O8r?qJe2bJ$0QVUxgU^{()dJnQkYM^>Zq?v&DzI}O0
zx-ZVDf+wc<1;RdR4MSJgVuaq<9lBO=3CBgl4I%<0ISk)izn+r97wef<cs#xW$H;o<
zUN3iuVisS~>(^`fGj6V~e2@79!$Z$OH<?O2-WfQkXVR@2L+kT1!wzyjqG8(VDYd9b
zOi0K<EZdl81Um-@ER<f`7q8ix1>Az1t%XGqd22mO{3BV*j)dZygPKK2jutkp|K{di
zFA)7qdvA~%W(Ui!l?)tMw~=y3gjW<My@!SaX7ezMa1Th<Ge%oP&GNZGH4##qUTALZ
z&xYE`(fzbCh{S)1;^5N&CZdswiptP$XtO|uEuGTo)DO0Aq$+mLf$D3-RxqitTnd(8
zY%HtqI9AQbN=eQ7H*RI*=kYS{*{2R}EEw)d=28Fok9W9&79|4eCvZ~>1Z;n@h!t3E
zrNXc;PUfwrjcICtl)11r=4p20M*jcFR04khg>&P+`*{!6vQjf%e)$oLh~<FqCn=o}
zAP<>bx)cFLol58W3lLtX8==&|(lXT)XWd3JP^M3J3o9)tLEgHEL<;Q8xVWCr%LuGO
zp9O5yn%T4POG2z!@n?)IEsMd+w*K2&+p1w}%03R}s6T7lcxOdvClA_S%=c-DB~AVu
zf*Mst^YgAEHZ{gz#?`}Q=~#VWorkbi1)jlE9Kd4&b(`E0&s`Q3bpUHqYYMh5RVl0i
zAv!(C4QR?Pzca1rG4@&qh4-9P41xF~RnFISh-uoTA2UZ<C`;i(RB_<f$7g(CeHPLt
z|2S36$b<HQIYzg{ah5<!j3N-k60<T>#9x632Nt0wjDzJ0IJ+l5b^f=+stlZq#ZCK)
z5h9GK)(Glq75bmdSI=Y`+1uwL8yW(ahvG+PbG(-jkt;4MOBqnSQt$no^ol~gir@n8
zmN(oRnHiwV3IMknq5OhVaDz1p`QWgf^{|_Bd$J$Ge9VAbb=)r4pj&aP6me6rR#k$K
z+NiFshOJ!d18q9iZVQF~dg(DH1FKp*_G)RY%0I2)6PrM07dV#=u&G==L^G2h(icnV
zKqInNvpx}&^x_2@v1W^r_dfy_xBt%&;Xh)V|54mAymK&PDj7BNXzLjgpJ=G+Ucp_y
HcJF@y8l_-H

diff --git a/devel/_images/multiple-comparison_multiple-comparison_examples_22_0.png b/devel/_images/multiple-comparison_multiple-comparison_examples_22_0.png
index 6d5ebf48f862724634958e90f7a3568089c9ccb0..84bf3f5b106f516a01ab4ae8dbdfab35265c0a7f 100644
GIT binary patch
literal 49465
zcmb5W1yIy&_dX8NA|a?q2`V8XAsv!}G)PN>bc?Vcjev@Dm$Y<um!Q(!v7m&oEGf;h
z?C)OmdEe)q`Okdk&&&?X?&t1vpSZ4b`1o8|hUhBQRSXOaA~{(pH4F@#yBHXl7x=i~
z6Vu{8Q}9dBMf!z{x}$}Qo5^c)3?&nnS9XprcGfTHUCm!RTRS>%vkS6wJ)*aAae3t|
z#KB?zp9k0-Ut4nARmPeDoe;c|)p5qaATdF|F!ROotT8a!bLFHYG~T3aBHdGNPBa`N
zecec0u%JA$V}94}eZIZ=-~loJb!)t94~X{?zbI0@ROC@vdL<R18smJRwXgm}r9b2G
zcV;K~Cvv2W^itGe-|??f@npQDCdHrT8CBvQYdPK_nYSnL%r7+PEG!&C94?W#PL&#r
z6&6BDY)j%~bJSQc!OXyqpG>g-!k@Po7$eU}$^N|e%fpwv^5^aD4GG!552W40C;0QW
zT^;-G-yYrs(=+`2Ugdfq_Mf*uSo|aZe)vR_>;M<rey;Xbj+%tyJAN{P0$)_G?9P2-
zu3mc5C%t$7^J>nI?>z9)xsISWdzd4edak%s9^u#XAV7Tg!H568mh_2X;Y9!cry>2{
zwaKUWI8794HXbi{9-hI=ifU>!O}oM;rdp492NEB5jvm|E+SXW)<)-vKIa~iMv|Ya}
z<bAXh!m)9I*qIW$*dt*iBk<l(PamyoL)xdhjLIpy;apCL{&Q`u7Gq3L20zx_1X)?n
z<L!yJSco`zoEF}On>TM3)K5EgbF#|VdacH3^LQTF9j=c&<+dEu*jZ?)G3y~SfJ|u4
zR+@*fw;YT%!%up(TeITh;~ml+7h4S?M9=aI3kzKiMr7R1=FU&|AyCK^Eb=Mw2o8ll
zy_|0St4#KW6*A-y>O5jl2>yt<3F~r7!#!ytP1Uwj#5J|sBp&Ld*Xg`9ZY2A;%E^%&
zZbM~6Jda%MQ$K3-8lKmHZAd@ux2!hryCt&sm7Ge<r<tK3Cr6sX@J%M4{cQHP5DMGw
z$h+Zu>)LH+aof%N%HF4aMw7>FDCE)5r%#_CXRy4Y`uZ0tqNmxoL{toN=(P+A?>vzk
ztr`+73J$)i*ETgh{n872wm?d<u(UMvK=caJ=WAEKe5U#5HCtyn#LmmlUnmoiwlPs8
z`R&`cXfg@MTau;q0-3dZV}vI1_V)I(EuMKtJByzS3pY~Ub{`<WU7bscENlK9EPC<-
z%iz@)oGnaQxx(V&@zn&QQg~UL;r_3Iu{do*YqyE$>_ybYadb8zM|1hu+R&5zP}j}r
z%pI>aVRRcR9;?XKgB%Xng6GZznDpG8$UhSO>g7}^?Z(LGyt6~<3@QH~_vcmB)UqeF
z_POsWDCAUDrp>l`7rAcD{?z5m-uh@A&tb$am&|1@U)Po+=6N`wO>5uZ8^@|?WK{M!
zTu5Gq#wl=XQHkTv5&e+T(<{=|J1){LyLu%us6^^sreTXmQ4OSRc2?IwCvQu!8v>t{
zizXJ{EO+pw<}~*6INZoNgii_2Cc4~OX+t5}=FXr8mdZZ-y~i;Jt<vsvm@%rjZ-1x~
z|MS|C%OSQXq}}u<`l{{mI$7gk(&2^4TI)+;{08SWWjVYiBTF?^)hMTqBrmXt9O;l-
z1(ri;LWs>Od!&O0jVyE9Tw7a>58UL|2XAb}XO!6fGJ^lSsx5%{f_rlBCIv-7_E%Rt
zHTpbG1N9!WsNmq>@iHUFxP%0XX3^udIajNn9q+)|)eVZFyyjy1ZoHhUT_^7UBunGf
zE#*$9G#Rf5I}97JnXfULXz^U1&eVL!o&|fX{J$#Th(@5?sK-pr-oD^@=;DW6{Jz9U
zYkPYZ#uz#K#a4x!96T=enAWxzCc^kh9Pn3bgQ?)&R5s}%f0Fn{j(bZcE4Iy*8MQgI
zv6v4H_A|z*tvGf#P0Ngpm)MU(Av*;oYZpgDHV-}4lV?W?Y1L_e#NWk_m7sqU`}Cie
zt-v#JO9!a1-I`zc?Z=X8zxF8V9H52JCO1o(y2lAXt*Df>T{J!mrzuzt7aly?$rY<Y
zH2G0%O!C<bsuv04&@+Njd<NWYYQRUh)#iVchpe`tds41q4-Fz%XilPgIYP`Z`e0On
z1A@>yt2*G)%3;p#iN~=%bYoUYvxB=~*3~eoH#Tjzr1bS0=$6$oDA}U>@q2aBhC2R`
z%(W^okm!^Qu1PwIP#m{5Ad)%NCHg%PbuJF!EvtcK-mUby>gx4Y#J0M%bpg1h%|}Dj
zR8$&9M(H((qqkUiJiZs_4vX*&?)1~phpeoJ-S;D``r_HP(j8|ir6ZpF4mvx8=Z&d|
zLASRtN<B=~o$Ic3mx|iW<ni<IBC4e?*CbHqdCbmca8^wAG0=6>YBGdFly3Ld-C{eu
zy9)C1F7T4NhjH>Spjs!D_@UXt+x1V^(mYEiOZ4)J%35`wejv6t^4XqmNPcYk{^ER1
z%u?UTz#vuhZ2i8{Cq5-4;&|w+NmEm^5tjR@+8g1T>U(i|wu8EGL>~L1E`^MjmlqbV
z=dcHnq^6Jg{sdFDsqfNkWfid{jRq4b={Dy|u=4Rx&e(1@tX&iXZMdEl(wd)@b&u@@
zr`WoZq^w{vE#fP=%D8ESNG=`fqzkQRb@lXkT{mACcy868XI28yfd!|!f*uNu+I$*O
z7l^|yu?y8`mvL1YnBL-9yt3%28AA9<eQ{&fhoZj|V0lEI%>IJY2q?J5lclotmg7mA
zZ^7C%=6x1KR6H-DtKD`CQ=JEsHm1tb)85>3_WNCAgly)so6g8fH!NOgAz_LHRvZaa
zQGu!WCYPO^c>w)w^ED_+2z5>fIht8>J-Y}XSt$E($3q;LEN`HTt9($1MH}Q9gi7o}
z{j5jDCo@&pZKH?Tw+slL4mF=w#;;#Ynwp0bPF+fqISGcjcb~p@oy*P5WrF&mR1TLy
zhHQt@phD-ns%O6wI7Uhhgb#gDJ0yqcDEAPHeu2C(w*^nfk~=;p+8)bcaW)PPTBwT&
zAcr>$JYeQPRqG8qIoR7z?D(Se*mMt=?WcF&$}1@FxNcrQn_pv}jAhAl(dA20+)(lL
zkXI2ol(C<$S4A9cscUM+eGjF~8}hw)sg!cklNd83hDt%N#Twe^YjeD9P*}XVzvpyO
ztSoX^?O!{?E+Zi;m&|G6?*q)!FN5uH;q75sxA~~U9g-)zekF?{tFh`Xy)1bvMx^-d
zkDnH5sE^#YOxS!IXD(zBgrr=#l#r3gwBhQagTP$3L7~wg@f9)DY3s#a1V3a{4khz}
zX4J?smG>#D)}yKPi-XwKi$h2G=-$3Q$VNepZnf3h1+V=bp|f>gcy)M<?V_eP(o<-w
znp+5m-uI+)2R>s-VY@#3Q)oF9_K=NjqNt30jMnYEZn6ZCSK9pB6I#2r*F`tk8&_uC
z8(ScBaYC-C;Zh#3(+EM0qmLAbqH<memy(EQye&9QkE5AyXLE}eg+|DYsH2PmhOLDb
zJ+vyBEb%mwp%aln9XXQMK;R$FzK~p~$1tZS?!9O}7$s~x{Y4!s%fMsat3gB~@Eksg
zR0p#o*R9>WiCm&UrJo(Zme&RH)L5V{V>B%%ON3N>cJ=J_KNf4;cJ7EA&!<C>huU!A
z#RmCw#Qe9dzD2i1m4j*1wvouYPa)qa$0mxj9qpmB8Ja~GrBjA_3wHuj_;-#Q5!=G!
zZN4?if~y*6S*x`V)2;eNch+Z=MxsJWChqo4n!rF^SZKMEVQa(svxa``u2a#aF3Bwy
z%7l%pBC*PZbDIoR(tXOO;Nt}~$->9VZ2BkF!26-zl4ysGSz3)`;pjHMQLUq2S^7pO
zW@ur7uv8I4W~X_(RscDbnKE$uEH6*|K9872AOlFF5b~%lV*Ow&4<2;?yPNJ5wPW!(
zhtHmE7!_~h*xLPPG^MBe>8k0XspLLdrCv&lh=saCxRF@CpmXcu#p&mW3tjkROPNm9
z;1pyEI(>0!De4^FdfejZCQLjqpac|BtB$6o_u+oJ*fdMV>1I{PVF2BHJ|11Oinam7
zptLh-f_vy(j-&O&KU~lv3#gGiAQf>8-Y|s(tD{X0n57t^B3ChKHf^NA_=}gOHpy_A
zFH#R!RWR3Z+Vp;jy@N58!s==b)FSFQ@$67IdrtIp;3zQ?<8=|OdWo<lZ9y`-K`EYA
zJmpyOrK5`f>;)4K@S`Tc{!BEvIeMRs<;h2*y$W?@K}|ZJdg-#3+Gg*WkK_?!ewe(v
zjR!+E;BnLwa65;5eV%zEj^ME-Cm+O~WTuIDZY10Os>TC04NM`y!1Y~rz?YU%ivgiF
zJq)$zhYue%;?R%HK~8?&7q%~AVAH9T&B@707D4=0PN#F5UkOc$1YQ{P)@+T!;`y(e
zsaGPSUCv-*K*3)3*lu8iwpw0pPxQf-BTDQaAC0|nJ;cV=b}Suru9&wI8y{bb_f~kr
zgGOFnUPFIg1g~Ovds#V>fZ$Drt71)V_(mD9NkvX;KAPGG!{EkWar|}}-C(l<E!=vt
zv~OcGTMFDgZF6(;t@L!rq#~PPvn=7Qen*mN;J3p<xd%s0BaqL05pxP#5`8yW<89|^
zpBcRQxi%XRhW7FiJ8gLz8<-v|QATbEs0-<S0Ldf-F?X_;-rLy1s@<B4LN0dIcpU24
z*x0D)>FFUBg>a96r&TcU36*pG{<Dq9r;RF+UI!zn+|@oK*ue}?+3^h4hZ}X()??ot
z7H8Ug+me%$$H&LBTfGq$(C>B&-p8~+1mM6bZyeRROl<%?V~yIZ9vd8Qc1IPJd96C5
zRSvJyl9SLz{%1|CNkP`%2V+CyLq12Q-m9$XW0aODIUmWHtvdouXPdqu!sr=(L@i|n
zG7-V44=gTk+%>Xz0wsz^Z{$b6WSGjtFeyy}Veo+EP*j`BID7tr>R1j8qqil5g2RSH
zQgmOjk@bi<=5}56=JSVfqmv~>9_yK#`+=J?Re5ukN&fGnHMEb59U4|~4>xBNfFjEO
z5<p_VliO@Ha>ah8vcY@CpvhG(8n_h+P6h@|YzpZvP8Z8`D1P{n{OCf9C&S@DgCbLt
z+m4#jKzpb!d=X{r*n8lrFzVLk8HP(DszFF0T4IDclR%zLk$?b#Yhp63l(nq6P=xgC
z9fy~W_n8K)hZ&WzcyV-H<l?0BAv^nI53|aMTdQ*ov4~61mOUG`gls#Gea{V@2=oT{
zHFt1k!amSBj1-mK>BnvU-P>2mUiW729um>!YZ%S*dc`V?l3R<T?L69bd%hq#nhd$h
zF=TtP+bLwud9)4Hi{^2de<O18qqEd*r_AS&5FPK4h@O-KFKhwkXwW2==j#hB9OYDv
zH$ny~s^GiE-*#H^EPQi;w)uIB$Kl{fQ*<>5ot5Y4X*XXYzj65J7@aRAOib5nmbJA?
zqStGgb{ZpkX7%aUAo3#vOO)*TX4TNdjAeQeu;obPj^jEoHbte|L$l>30X|50m!`h{
z=GleWQ&O@A&!Mx=pa#c=d3dr)(j-9XChyT*+P>646Ui|U13XAlv;oq=<8@*Jy;zu>
z%mtrWeepltl8}WNe_vMd`7P!F)ZN5qnWUr5nG&GIz-2tzn9xJ(%tJV;AU^(<rk2*N
z<`&f1)U&YLk1O>sDk~~f!C$$`>4)0}nLq$0a+Roo^Cko3qFeNG)~q|Eb6-*Q`1vl!
z175-}LLeDVE3C|_)m%7Hw74<Jh&Y_mmW>APK*C<r!~~YhcS=hbTIMO*PIOw1W?yg3
z)z#@uZ59@`3IQt*0am`Sp+OGa9(asaC%e~6cU1Tk6|rt)IM{#w^`xdzk5H>~5ShF`
zZZlD0f6c1zkE!8ummJf0m?MUSS%X*~`evEL1$oF1LAWi4i4CjDC_VQ^>b4+{n7@p3
z4+<y%AI{@f(mV7^o`Ed2@ns%bHK08>sQX$8Ws?C4ZuF_zeZTFI<9_?w0C1&oy$?oe
zkA{x6=JJ|$T3g1X1ZnHQS6CjqUl79Ht*=*Ybz9FJq4DXDP2+)DE&-=*>48F?IruI%
zxs@$=z?J&u<}@4o5XfUx_1KZm$<JHJZMTR*5Pe&wIK^iNEUUDh{#xX=>%6lyQ>Dkq
z$SBVcJbTO>ClApr1&(5ir+dU5bLiwUBiCKb53|uMXgL@(|HWQ11uQHq`4V4Q|2j^f
zq+R?*^Ao@0=;JQMabVc1*!fMr3xcE3)Gaq|4HsCFmBZ`eNa3-rH1s|Ms`4gUo$$Qb
z&4jjkZa1V)p!L`-Hr)*V#q*|cVTa1XB0MX^QAD*5QmDib84r}fWa#3+N(Z4>p6B){
z3Kp%vK3Q#@S5Q-<1Wb@(frk8NnTQF`ot8Q4Qx0!f5fBU^k<%5r1K?zz)%gl*5fRbZ
zz(y?(eJ_Uc4yW2$^QD$z_J_-i#E?Jm>OfrZYdu<_HJ@BrK(6yc#4tc(YTWlNTK2xn
z(?Z6v2U0!Da<;ZMimNO(IDB;qDU7@%fETp}`Q4K~2`n4XSC(7TBgL#`=Z1)e={m>s
z*29uA+v)P3RQwLjxWqKsBA%{r05Xi$+Rq)Jb&QAy%{2$qny+CI2;t%C=|Z{zxI|jE
zwnc{CkV}UwFU>=@E~&KzKy9zq!;}UDyLKb9N%W3j;JxDWOF&@#`&YEuP2_+XM?Ov%
zQx<-T+Ch0Hpxu|&{nVn_CR7?^@*11b1wS}R2s}77ez5Y%-dEJ;y!5oZ1S20g&!bJP
zHlGhx>%%6EOTjxE^~=iT%>xwrucCrO6b?R!oht+PIvd1v0J>5?7;rQ!_~ej0W`ByF
zGP9Vw`0*l&96(Tn9*8Yo;O<8?uEx(Dl=<3^0_FO$jxt+C)IIo)$GWP>(R8QBR?Vu%
z;e`1^j-7(!WGWDHhUcmbHJ52IkP(0|Y_R}XzQv6s%UkOtz9*@`J_Exp;C-=AVGDfQ
ztv;YP)ECbt-Kt-HE7GmmAhKV)h<eD105`Q0J+aI&mGp(yP5w6boOm`*9oxzCr@lyd
z$i_^S{)an48dHXzErX(nCtY*!H)84r`&_2E6&2E|B3C{JY8V($!o07IF7XnbU3Ap#
zv%A4V@AG(jg^}oCk3Iiia76HxaT_?m;tM2RQ8mvrW#P{@)LGf5YO|huBEP#)Agby#
zFmRKTi_+DLDJ>mS(CU>uyLgFXDtU!iQ~QPIZ5;#ROSN(GxuOC=LyT6<Ln3ujoge6a
zd0>#abm7tnTgb)%NMU6&TBN*EvFlpF@4rs1xF~9m4i(Yc+so^5@B-LHb+j*O-gl7;
zVo-nw`eL`ZM@ca;{CMu9DmgVCKG@JdG4>2cG@tWw#Pv<?bV0q6k`lD5<gxUztJ-2f
z?BMb)jHO?wb<z309R5ThXC`?CC;zW2*aTmI$6gl%)6iC-&Y68Yf$2bd*;n@pI`j=;
zKLbs!vtr+Udu1ZLU=pZ<!|%Bkyxa3-8^L#kz&bu(>#jBHjXS(-gpn8s{09F&euLhy
z5Wq8B`|^tm)-!EwWMWkRz{QebkMCk)q4AZJJT13RE4lvxKU~vm2rv7ge*^$$Ok0Iq
z7dNP<U_w$;wV{1atcu<x`WBfVaCdv24GYZ4uce}(K@ZnVo33_qjQUfu_v}4%`=GL{
ztboku+S*#bI&6F`fTv}v^h#x3_SsMFSKUN|eyY7;X^AW@_F#A$DjX*tMfCBFe2yBx
zqY~uhJ@V_PQ(4Rt6LIlhK%_~u6E1J!ja;`KQ4q+EA8qM@aAqeWfb(MpKjGa3MW*pd
z3lC%A9Dw(Na7zJkyrZfa=SjXw7KnYtwLkLVgvLSl45O#9c~Ur~+Ul|v+OCRwf%Dai
zMuV}uypL5M%&Tf>WSenO9$36kQyYD%sX4J_{v{65Sj&VFeuIM1MQO_lKtzy9^U^dv
z`ESzIjp$DNj69AuOMq@FDk<URd3!&RH7XK#OeI@$ZaoKv7t+$wrI0V%LG%p9e&B2y
zohPHv5Ro!v6c%fr%VD)@A?>o^8TaLGG=kl@NrBgL6TeAH@*xL@wlxfMIUv&TE<VBS
ztp88Hx!dm#8k#9X%C!WnM$3@|xkO3i19o|<(ehRaM>KT;rdWh8`RoO>DXekr-RkUo
za~-lOIrvUvt}74J^U}Y-`0*(#gCAodUvDlSo~8?B!C;Xi5<a#C*qCNr{7ef5eL}67
zJiukF_mXi-riZg@%@pw*E}K$B5>QG2$=ELS<XGc!PMEaa$iHwI!1cR^mb_07f)!t*
zr|>FVu^S(aN#zAQGyO|c@FN;)!ho^ga5z@w>OuF|F6bY5eLRsF!`e*{BZ#mlX$AC#
z?!pr+;`tv@@T;efxfG!0FNu-YUH%@gPSl+jI=QCrHBRd_@c<MDhO44-+tvncXt}e4
zomen$2mG1MF0Mp3{zG<oG@^+1G#DAoH+bHF!)V1rC9Y%o!MYjn&_g;7(+X$VbZNk4
zs=~)J3PFHGQv7HvwJQ8TWW7s@1fzpKRW428dD05{VNwe-u*+N1Hr_{Hub=HxQ)6vi
z*g>*B6ns7#<E0kQ5VDB2B$r|mL_Zryn-qCnTR(Q#sS{yyc0#2@HOU_t%uOzWfgkf%
zN}yc#0(vi};rD=^oGi^W3lGCYT{u@)UFOj89vixsR|FEWZ^A#`!3b0Z$|&ajA(6+W
zAkmYphZ7Aw9{Gc2i#J~n3|t!}7g^~5Q@;EektXHJ`XeqezuGF~%DmA>`fzy51Pp@y
z@jH15&Z`iJ16n)r+=u+}M}>xs>A)N>f4-7SbO#lHCj?bWwvXKZ_-q^PRm4f_e`Jc@
zXFZ(u?!QF?Z-JNkPvbpFQZC7b>GAmjLf3zb!{xVr+tX2_e+1yGiXPXu#MH}=+acI@
z?`Jpm^^d({|M2E9MDqUS$D}?kUEz`7)C-tY{G9&Y@3C8VAB~bzLAD0d(}wdM>`le>
z{#=DDKYFvkKX-XOrB7eP{sz=`gn*pt&y>rq2Zkp8cmF|v4ja^w87;X5<;=W(Iod9j
zDUiagL>ndA2_r{4o5|L!dvT00ik$w%iNp99q!7hsFc9ezAj6t}j<>L}Q7tTtO@1V1
zQkF?0`0^?9%cqQS{UgQ26$@_UF!S_IFbZEIr%ECn#`!_pE07|q(mbi@vBdkn5X@|s
zL_(GxgGn<OEXjN}jc1IRhl??Tu$?;ANx%fMR0AZ88W{>sJLoD?E~b~olHIsT+VBI~
z;jQGJB;xhSKYn!mTQ1_f#5cf`Y<~pok7$)TOEOP!nHY7>AUPFp_2$@-2;O*^WkF%D
z!g#zQWfG%gJRzxltkVtuk5gdn{gR|)yGcE9S-`X;AJ=X$b6jvc*2$26x8&vpbD{m;
z2jzsUjxTBr;^RrO)XX5o^6KC*!3@HTSKzUG56R2Gs-$p0Y=@WR@7jQ^%2GMI^*Bip
z_8!N!5jjvM2NAL`c9^r@dK0~RC6GMH?t#<|CPVZB$^0Yzx+={nevwJ#blcQ*38xb}
zc-1O?na>K0wI!yj)c4!H7en+;9&F#?%;P^c)%@Tq8i-c~A=YkW+-66(fAI~St-<N)
zHSxhVPhL^IT4RS+xvxF1F*`yO`RX&5zuHQKn_dIQ=mtnt5}h9Q*zB@&0mUwo9SW<Q
z?t$%4hln8y#>6?^`&^|u>`aQcvFksg8`eMgvVw-$G4JCO43S=|xDzUT9=Y&VJG|J%
zb91UnV{YF}Qhxig?I%S!?NlK(q~~GK)}cjjpoHICw;B4rc0|xKJTbB1{JPU_mB^%7
zKDxEnI3@#6%Q<WX4S5si+O$cO=!}*(96!99NE#5%%ET~{WI|snQU~n2KZTgTkhazK
zfyUF9jVm5R?RtCFa^g5cUowkZK`i#e$#IirpM&SYZZi2tzKV-6md%CKr>5T2FdiR}
zySa&*Gun4&v`B+RZqALa+~vtW#PixquiA1PXF_xS%PtNAC35+0Ty~KaLeHRY&VPF}
zj$%f~0s9%@&u7DfgHAowb~0MwmaPsEJ`qE=@+e=YV&j*%YCFz1i0%IVGd8n~M7L&<
z)+MnA7{SuXNv$wiVJ#!X>=cjb_iK9anOgf#+ifTx5!CtqY_oe68Vv);%=*0Z&;*Ds
zzbW^HQ}eUKJ<!}0)TxVB*%gPqiu@X^w`j9i66>?W0|qP0wR$r>zQyB|T~DuCf&NH1
zkGNG{QzOCZ<#i_&0~`#Rq_h}HE4d@$VfCv&X#?6+7yn2ntEjY5Ua!_}1fcFV)*`l(
z#prj1w8E}d8{-AZqTY?JI}0TM<7YEytkxq{i++ENGHZWGtZi;>xhtZsiF!9^tOC*8
zKlqS=bAyRlLRh#<T5Z9c+nYmi#z8gx?v%CPu(I2s<>HKuwO%v(rCRoTQ*krU4q$+2
z<^@oWGIZY6A}4O&ZfdW05OR#qH#qZppSciGaxtuVpwSIS0DeVhi=F=@5n2km--uLZ
zdiwqvz)tpQg+E<O7o=?(>f0>lRIz!vRxjJzWS6`1j%|*umwQEsC~*!}dgs@lbHFdV
zCrsG(yO;IsM*xY-(Tt^AuW0dKq81B}*lMBK-F<3*+B5<NVvU5-hF{4JfR=s8Vv^rm
zE|2&0bq|kgdcsUFtlf$|R~bE)fFPe)Q&LVOhDl?S$CRzNvAIrO>9NV*HSSj4+|q0H
zYG43JIt%n7{$g`N+i0LE?HwV-!zfuR0C9t;`WVEG7n*1ouRH4gA)r%qMLf((>360p
zp0**NJ7{JJkWAJ~Uq1?V1xs<JghJQMUE`s0O3jI>b1Y?5lijY|3Yk@YdSID(az2;x
z_N)A6pnjc0Dg&&%lNf$fhlz!ouU%%S+vejv2-#e0GumlIloAWBkcyn|cA^sz;uM+Y
zP@;CzoXCSbv4PwAUWlza$o>Go+u0`Y<g3wa`{B;w;$UgDf>eE4>Ovj;(Oz}Mgb>8V
zx23g0C#>nHsL_ptR+z_=b7wkp(x0P?xa4)USYBAkWP}B6K@%7Dv$7;U`5IHPwCPpo
zcZa@ljf3Hun$L3ydoiiY_gHo+lUgZOxk!1M%*(R{GHq>T;Egnx9k#h)YWMB}A1t=Q
zF75`i%lvMupl_Frdr%gL0e*WEjF7HWk+w_x!;Px4eQ-TujskAA7DX%IE-!ahA^uU%
z?Vxk8t`b0z+I|bZsWVjpfomxxaY+N{1R%tt;8aSSheWhNBy+aq=vxGE-8G?u;iolL
zBlqIs;%a<%06{sPWSLd~u4F#InQf;^CjgSk4FEUakr5fXl0|@j06?#{b&Ye7+tGfq
z?v4(N+{PPKCeaI&W?sZd(8fYx!K0~_P7<dZ0#*vS)#vGS1)1iKb%)u$ZMJV^QN2TL
zJgSzoywgXHLU9X|Vr2_iMo5SO!l}E)U?x2Cw-<?p`>&FLv!7!{H4W~L2+M$?UPzyy
zjJ(=p+l)whL+{fYt3su*m-zZ_{EkF7iP-t`yp-3$3@}!s(_n|@z3<AtsD<O!Jb<FX
zWW>&*1_6nZG8d!BbU0DwquH0hG1YRsP{cj-WNf3fdakxadNM-1o`FmabrGj?Jn}U(
zLoq2xa}|%=_0zErmr2yz%tzqu44!_gY^MC6;%!>V(e+@=>4Cg#5AoV#y-D5N9oHKl
z?D*AJSOXf&9;S0N*Rff~uK;1_aUaOqhCT~7P`s%|j9DM>8Xr3Xyf_M1Ia`dhrZ>V3
zR8{ZF*;rfmoE!s&u(0squ^Db$T)N#0zyZ{?O-)YPjATgz45;om?%j~!-~&Lp?&yMB
zrd6sBdw`!L&!WaG7NdxGQCC|rml(!-Qv`%E>!GH6XXdksHmRc~icLgHo-U|9XwwP*
z=6o4C1hDQ1lWcAsnSC@~=6K-42Lo<8WfxolkG_r5DJVC5dr@@KXv%r+@b-U9#X8S3
z<MA@j7=ebN8;n9jR~A6>KxyOgYoE34oI@dV4OBZdxngHUz>SDC5o4jhX-3Tg2~YK^
zOd|kmAI%kxs0UIA!Z%^l_hvExZXE>(9HX2!&<aP#2bKVst*TZ+o*l-Z8MV35-zN;+
z6TIt_<<4yYIMjvMQe(|l1_Xx?;~FW`@r&<k*$*~s&gUH3DBLpiXh}((3kN}r+ZsVU
z2z>j6b(GI;E7KW$UM7L(^?W!SJJ{m|?huDWe58kIOpW;IWh|Su`(qkyE5vv0aPCHk
zUA&P4^nc6vmLqIvv~T70(nn_b=mpO*&vHiO3;^RE*^hx_7B{)k;moIOY;<l~{`w9$
zM^{%Zf3(AO@=NZ$@V8SWi2ZQA>k^*uw`9e4AC+Uao-Q{5;N9EFVx6%IcLjxz?WP^k
zxcK;u=KVoiRC8vg#Npu~w9(P`Vn02BL1ecbYqr8v2C=4B=P=>uvri2`KFEeH5?si2
zuwT$x%hlevGjI(HMn~0BA(J|;u8g(*S6_pONVg(WE@X<w>f8I=P>I3PKA!3qeeWUn
zU%l#&45)g(#&rpW^oY!hXX3}xQ>$NDHThbBc1rwy%utb6W@k&)EqD~6tz`&D>x+No
zN!ia<%Q^q*hs8z-xNYkXeBxKBTl8rH)TIB>5VLYhz5;uL6p6?|q{TpT4oKqyV4~)b
z$Z-mQcyiHc1s~{q-XMOXA4v1Pa92v^kqf{h(UOz<I9X~?)OK-L20&auj(+0xI(bDw
zEOUT!eWjA?!YtSPEMBka2^62^uR|Yd`Z(7>#6EV-Ac-KJ{*z0_lf@M|L%iP3Ak)jR
z=1bMhz*u6}9G}gKt^>ehydb1t*8ou9_i)-G+p-odZj1i%<}`GA5<2_rbA)K2`~EKg
z;ai=b?45yRm3)9Le;%vMOLa{~=O}?S>H(^u63tp}Y}gE>2&x0DQk&PL1G}l|x}FbS
zL#0w>^c~;dAcl}v`)-~r)c-y;?9<zTe<BS3%)b~wtK#(2a_pHzvIivh!!N-fY>p`T
zZxH3Q04nOwyu2PVm-yL?HQih^%YcWm&I0|^`AiI9X{6q1i3`QLm%-O6CtKIe@Y(2s
zqof?+L8h$)ySH;Z97mK3-5R)raV)meL*nj<PMb?TA+PZRm4<it{$(Lx$jS~^CWelI
zp-_6(Wfff_(W5P$!d#K`P{IxKAM_$sF3%Oay8|0QB#e&k-)b>+2Aks1hZkQ90n+gU
z&p-0<igsk*fD>bxC?wnFVc$z~0s0sI`u@bRZZ}=thtcNJ3S;a>$C)_cO97g%jWjTn
zMGRaG<uo;Qom)-qm|w^OF)8^ljC0W!bgCu6IjKPb&I{4-HKh&*m#_K;P75Z!vQRfK
zfC~W~20tUT@`#SpM+0~U??1l4;LhQ;Ya}j;94rR`>FwcoObjr!eUm;>08Y*1v4Jt2
zWJt-<<RZk9`gm(T@3VIn*Z8>?TTE9o-sf53!UznSFmalv5d~60PvIZAtKo6pQ#un4
zPG`33Ze`^)jH*ZzEDVb(p-17LI@iF3Sm{WN+)atwV@?YC=4q1r<ZF2Tb^@%s9227|
z=fk(23FEJk{2<O!0UkLaYfLfc^$@o#A$M7gW7cc`d5A~YmFg)v)l+PQmO9Aqe*l(o
zYns-4<vU~($g6~`<SJ2M^e->FftPPg#&!2?WM3SS0N5Rcm=B7y6Ji=kq*~0<1am&`
z2*4(i5?^x%r=lpq#6bG;v=Y;|W-~xm`A$dn0}J|2T#SypA}a%bbsZ+iBPGR0cUT!s
zbTSwB=}`%*UCakgmSDl|@;wUj$7t1u&kCYcS)Cr-`HH%U(Z&uwcl?;F#CLKz=U=20
z!S@&)q1)5ofq~y}^|YpvyP@a~t}ZcMC4an{ERF^f#Sfwg2m)g#9<^~O(qtiw4AT#H
zOj4eF-OhgCVj`U=ZE}yPQUE;^X&|=b!&IWgB88*&UM_>z9k0TQx1nqpoPXlDo3j|=
z9%`{(2<hF<YuNs&RovHOK0=qqbW#j*ssxh0;)5=NfH1xa^pmvkxkDj5<ENVXgkjO=
z`Z*`o+aKGT^Q;|DuB+epGgy59J%io-j7S~Qu5UJc88@IkPb;@5zL0Q};%^Ubx7_O|
zfBa4)gdFtg2au<ZTUV|o;kfH(C9l577r+)%9Fk=sollMNd^eFvp_mfH(yx;O9>tgk
zS*`KcpLh2ME~{C^e};W|#GG~K9RKOF*C3<PRiH(CIyI<=!DMg=jobZT_m3<O1(P)q
zW0%0GY9{u2CU|l^K6E7?&wuOTilK?+I!;WW;Gan}fk|+INxVC)$G+MB`~EKF#E%aI
zNp)J%f~1>Lna9DL#4V)19x0<|vHkF>2Nvla>>FIpuk``WgNE$B*-}-%d>RA((yskB
z=uv`OH9uQh?ee3__7x}XNwMDCdhbql09`}i;}a9+PwZAO@mK67*RX|Gzl-pQ9CZ8<
z8OH~ui!Qe;r)*6C(310>xNJKCJ>I!A6T_nr8w;Jx%{vrjl^9#4{6P*YK9+k)lkX<N
z*w;;Zn;8j9s{|IGrdl|?H`!E2H<~033^Z50`k-F$PG;)zlIF1`Go0vN;!UX^W3lYT
z4mj!^@lkfV^a8S~jUR+e+^&?AhkB!v!`rFAt}$N4#NptwEv7*amkNe6)_Shv^=|Nv
zVSb|<lrT5&@u$I9@p6K!S0sl|6Tge1y+C6kiS9(F`&gX)pe?uUZ`%L1ovu8Y9|ryk
zJ4FDC$v`fl5UE`>=i*Z&nbaf?dajND7`o2SjS+D5!3{F0!~0cCQ%-vi35Q`G0r(d0
z9*2}Y??atN!N1(7gmpw@*g2R`A<*%$A20S@(|cD<ZEsRZ5eZd&FM8B2ISF^;WGx1B
zwX&MAwH9nbw;?rm>Q82m{bWjuwzh`!_>@?xxApqM=xv6Rcn!@lZ#5dW1?V{SEfp0!
zs;f?kF}^zE5>zN)p+w=Y^A+42Qd}_3kHfH^cl7!kNO|@6WdF2ltU$M;#Y!h)LsWYY
zVIIPD3JZUe0Z-sNZf9zu*U8=Qc<PEh8C>SVq|Kl^;hXQ$(5?yk7Cj!WXPq~-oq;`r
zHrMgm@^zy#eMoTK<8W?&-|YAo2sFG&TXw|=cDOwUk_A<67o#sYWQIO~CD-hEQY9^?
z%<UappAbnEv<d!-C((U7f17r@qNW&E#^{aXr#nUs1#@e(RT7Hb#e0Pa=jreGJa;|2
zirTev506+lR3+8+7bcH}{E2fDUlA+L5+^d-9rL!~h)g~P-5I016L7Vv@0zTnqA{q>
zy}P!!1}IZt8^iu|_u@a@)gEr22%Nl`>G@#&W-;w8ShoNklRaMl&3J?^ssA1LZO~tN
z0KM6@KyN!XR`MGMV6V13iC6Shgs21ilYii(wk&J@=<D@ZYip3+w^SiM_aHo@Nvx$6
zzx~f_WK@T#F?_STCJSL|*C}7<Sa@l7xsdWERDGX%p{p%K&5)|Y{l|h)zY%}n;6J!f
zL4Lwz(qf4Jx1$_t*z3m)d1xV6dZ*ZZo4^^@xRu~4K;*c>@n+%*X6T(h-4s~A+;Eet
z`8eLhigU#Dp&bijX!VH(RV_N6)M}N|+vsuKoOR+@7GN!pV?Q!X;{Yf0-v-5r(rEPD
zM1qtoGny@kYSJ#Ue();I!RhaZyQ|+lTKa>x8n=s-X>+J=756kY)0s1^+hPX!a~`{Z
zR^na^Y6Th(*TeADOie?wJg`CiKw~4<C}LVOw^&lWN&;w@OBcm2jvyxS4P*Cy92-VT
zJPU>$qxia63vC-*Q_HRvq9T^{EM(CEzqvoKVDp~-(#a!i#ixH$m?<V+CoXU(^pORI
zPWJ3PD5Q8JYC>t`^zA*9!Nu3Y=02#~NZ_z*X5GE+eRJkrb7t{%h72v)U9NO5cq=kx
zZ)2*8XP1jSzB1(1M|c$}C&4Ny{vGf#)ac7hrDuRvnBG&4LzIVlQs&AjHs4q|t(<)~
z;!t-Q4u@)MWLKJTStk9%d(}a<M?C=4yXe|bQ@M?Dzwo}#<<P0-+Cr9xKr05nle^%q
zLU#BzN)wg5$Z$=PzcTdx#%WE##SaM~6LNTCq`+nXVB*0UHlygjskn2*qwWn3^~~Yq
z8iF^wjO}TTDM3#oPXU9I=5AY68uIfivq^h#`_CUTq(gnhFSr~AD5eMsQ-Vy(`N9zZ
zmh`hitM?zNz+({e5<&>P8vSyuwAL&T_db5qL2-KnC+n+SLvXcnR<9B)xhLJ6E7LBp
zgcIxPapl~kPOg5V6rg2ib#=9+-zL}o_VIu{%-DYF*;|+L+Dn}LSE|5v6-(ADUm#MP
zM1ZC^I{R*6@38R6nX=IYw+PTs+bIx+sw>omAYlXC-k#CQci4N)y}>1DwjfRKlUoC)
z#r!iy;n3~hlWzna3JaF%hjN2@kw68v^8g6H*ogwl+1b9a@?bY14ntfwQ=-{L%dV8N
zc+2A3uTR&TA|ZHeM#rmYU!mYL;zJhAh`~a#0IuzF{ScG!8?@cr0S;vO#)6_3*)6B^
zn*!<dOy=ce7_!dygVrpxiYG8O+Jm_a45&*(^;i){C%sA@UaPs!&DbAH#PK>^oBZyS
z9`Njl1?*!TV3Yu+RK!zX_ypvea=La(m2YBWZ{d<~v!NuBwc?H6bV{auO_oTfYCB7c
zUld`E>kU#BfrxR<#Tm<lS%Bt!KO<9qB~$p9S%Gcm;cm2<*}Vn0C04*K#XE<OuSOL2
zH!4myn%sNg`n{*Oc2jfgS%J~esDnhUV&5?f$4Gcf3ADB|?1x$_M!`fda(o0yi}c}h
zF#D!Ul;Km25SM5p$7a?sVzOj+AGs+OymY%bY*`d9?9zgwjZ%G8I8`y-fRLKo<2{0_
zW|k?%`h5$#2g%CmfbbkXxNmc?YfIh4md=7P6E*fDI?mW85eq|gFynRQK&~a&5lx@J
zJ92B)lezik*K(j%1Fxf%G_78V`n9x^Knni-8A@h_=v4xP?0~mDikPyjDcA|cxayrW
z82HW@ymYLH_>Zt81;yuaMl=C6PV;N@(x(dqJDi_{fQ<)JBoH=ug1mP1_tGt5um{m*
z!r~hE!e1DhVu%BIF-U)5*obN!vBhwr&*wk0Aw$pRi`@nW#xy|fw}46!soumAX??Ap
z=TL5lgX8W*ND|Z4Q%SD>nhPfW0t>^0C_^{OezEedGmGxuO=9dlR;~}38OOvZ2beko
z?KS*`+7*K#CQMjwZ^#_FupmpOqIO4=G`U?xBS}a(9{MAC%-H5{XCqFF=sN@ioCRKK
z#*SHjAKl%Df4Zx*U~pZvu-yhJ>+VMLRIb}oH`{!xkSLci;&7-_WlHGGS|I4J;EM*w
zJ6=B<X^%w^w-lMa*NSSuZs%2Pb?cyIIwr%!Xx9Lidr<z_%jAj4c`s9Wz}1Y~hb&gK
zl>E1+1O-j^kIBMjFd-uL$1rghoVbRsUv)7^Rh;amu`x29U-qCK9saxK*RM}j-)$z%
z*&Qs*$i&MB2L*IoyEbF8Iq3K`fU@nbcc}AMP!uAy_W@^LaSMZd&taK_itloV%=%}x
z?nM{z@-Iqp*QIkC9zQCnYY8)G;B5_`z>q9WIIVA4pX=f4tKK|<;<*g%AL;}oYI~jS
z7Q<ax>%V4Wy}}~5#pJvmcK;&N1bEE|GGHWb9z4S?_*Vi*k~5vQoz>{7N^xa%D@gB7
z7V~`lJ)r<7vZ^~T;;VS;jfT|h7oFQj9ao+IW``{Ato3y(;*q{?=~q~iUc^+tQs-m$
zA&x6(x8ikMAEYg??ZF4Y67TRy1icpQKPZ*$WKz7b3SwMojXo2Pwqkm6u3yD2jB<Sw
z$+kIqb$Xbx1?78?;?Mv=H|v(@o>+$$<+*c<qe;q1kvMVbECI+*m9+SD7E)V-vEOm%
zON(3Q>UmR$L@#CW1z_3HofSOf81YRL<g<J}Fpz{gJ9?z49`0wJxeR|nL_dF;QbXX$
z^;4S8;a<DxEznWucDnek6%D~HqE8qYFMv4fbalhk4YP(+XtESkZm048FyZAMk@ws4
zRF|>n7guC;@uDqy`&NH0iG<_q6(Q!Gea`zE%(tmyo?S_N`yJ4bXm9Us!EPyomL+~Q
znQ<}5Bgx7Nv|NUt+`Romn(iGKm&rm(BxpOGhpe532Sm_*ob>n~T^kysSNaahg`Q?i
zV0=yhvn8OffBcb{<Lp6T4`y1urO)I08xl@C7jpM86(yHJG=-1lAKBe!lPgo}09D2c
zH4G~=W%PRmg?)w$je01MADMN8h+Z|f@%zwU7Ervfll5p2DyHPX;0IB)d7kM6G<6`R
zgzSnL|5)b^#^<rCfpHj;s`sMy%|$5;4^$thUwJ~?H~l_Wq!G1x2#x<J|0@BCkej!Z
z3UfYIQKu#_Hn>5pVMPPXQ0{&FkHsk#9w)p{jWcfsd0_^6aqLIG8TnwTh`($0(6k{?
zaK8_RWEkYm`rd%ZV+q54#nfv6TV4<Vk$?X$0sID=iHA^-v*v+3oSK-OEvzu@+ORc3
zBwO?+n%IiW)!L6Cj~C0<(tQm<W}Q}<VGGa8ulT7TU+!#)qHWs#6r`c49xwW~fqDbq
z2Oy<WJ^d`U6}jaI&yG=k-N@SAv7$&)_mK4T3jV3#FZYp%JL-*VIJ7@{w7$P4u>GYS
zi$!J_tbROHdi>6(MV`%@BUmTHgyKW#fs+Gzc^1w$0{`y<L^TDtPL)L%C`DA;0!B+c
zPkG`1Hdf<#>@YDkWeXe4f%-@8uML5ecZ0mA#DY>FyX-B4HK^}uT!~gV5JT;Y3Bil2
zQZ|VzIeEuA%dSdI$*;kdaZmUh7>R!i(_5(>H`8N1(dvD{XVP~b{8YR{!D;;>3D(M)
z;dV(0gCGEYoRy42<;uigegz*-ovIj<J`~gqf$V9>m=Zra)fM3W6DNDijB?ugPVd;8
zcO?f>g|)}>RHgtn`nuE-RDPWu)wQw7opsV(WZVxI$eP=68K0jo)^lvp1i0>4v->`e
z)iAx>D1Yl7QL5X5JE)NG$zV~>1qDDI+w6A<$r}SKmSk``vW+!v2)OI)BWMy6i6}Ju
zy5uSQa^cAK1Bycd9EN5g3f1k4q^;I+$kf~B#W49>`DQ+XwVmU*S{OgYX)!UbnhN8e
z_Oh0(2at#kgL2K`JASd*y}j}VKBudV7iVx@$Au>b?yGTv|7E@$nzm~HFki4{>;J1t
zv1or#cnHilB%>+7Vi|(d@zq!(QSi@vQ-~;}{JN}XU>;)logp6jSI7+0LmpVX(`(?+
zh)c*X&VEp-lc6TiTS1%4SAK<)4uXyGKtBq~@yMuEKN{4A#5(vY_#SN(mHjdp>Uc*O
z2MR_2E!YBzoIFl`emHE$B3W-(OB=gDLRmeveE3_g%|~q$C-)sI)51KTfA6~*IAN@z
z$7SvbbpipeHSnp~497BnUwE)7tjD`nFaf<X152nu!~Ih~j|IzPh$sSG{4D?Es7&p1
ztyTYqKHg_VW;v|Q<J~33{8*ksIQF7}gJ;Knf@F{?55b<Cp=U{xiT-_B#VnIcM)l2>
z8QPvqXaEz2pV_U^;yX!!BbYZ4CVvfWghXd|5(^j4E#h9godMDvt$`Q_PF47#d|D9O
zO+qV?PY-rGN#LORQ<E#n4uvQ;={x}Ro5u3@u&RS5*wAmJ1JlP>M@*FrEspOtm#s~U
z4nOP2Y?MCYURkKBHvIN6(5CB5`=^j=e$BN3(+^rR3vR++@|WKq*VO$ED)OwWn1e)f
zXz>ACpiB!DY~l=Z9<J|u$v0n$tSx2X?=>bZj;#pC1$iLJ)}Lp0u(XWEo6->UZ`{Qm
zOC%1y(@u$hT6Fv_;)rHgXW7=yA?`HGV=ET0a`szR1_`FkP&8X7=k(^NM<FR~3(dQL
zFZ6bNOuX-0u~yB${~XkVO4rcL&d`DKLcr|E3r!=1VnAJPO?CB(zKpYT)$Hsny2c<K
zxoLS8fjS{UD<x3*F#*V5JtQc=o2qL)WMk8<mIZ|p?!NpY#AdCF1KGZ)e#CXgcblfb
z<u}1Pw*3|O#bbSSTVkPv&hqK`xdJ(4QZ;~ZMp5qq-u(HXL`F+KTBw#kw+u;_hF~Eo
zhM9V{Ao#Y+YxPy53X1|7T!H_^hFX)cv6?AL?tQH!dLG%%>NnI}qvM>WTT*J@c1jf>
z2I>rt^@!KARgrUIgiAD`LgTvSCgYjjng#~e2%5k>(U_vp90mi(+3m3W?NlceN~>*P
zG{j@dneIl}HZv3cT*GcO^tIJ->kmA!9h7RTD|=z7M!M+gfB3z%zx>|WnW$-{-O!Qb
z0<z=e33m3Y@$1D|09^}l7IXoaYUZd;1fa!04PS`xKrRxx<D(6@OEENYDYD<sEp$BZ
zECP+UpVN&Ewwm<1=d`=z+8B|f+twssb`*b#8m{1N@g{sv%bzdlX3;%dd@67sUN3Re
z#;%$!mK`1$^~q6?8O{-_M@isd1Ck^6V;mtx*)KFvWlUiOXW6#;q-(}z<^?%+^-*y-
z9!smfx}tdR;=j<ZvYOH!Ll82;!rpZkMoRHMpWzK8!P>{<<bhlIZ@yRyRy!N*E}!ip
zF6a(z*T8@tzu{f*|Eayj>zX67b$3%QwQP!UYvU9n!R$E~^1q43@d3+wiQ$uS8BP8i
zOce$NdY&|?;WMEi9~pXK2(mBH6lY1@0;mdcJ%{>$A~nQ7DZJ)koLaWB50moI<GJ>}
z8L#O|6+rg69Zg%C7DD9X34~M9)P-aAPQ0NjRM!xV7<ipN-k<lAVi^k>-6E8`MmGcn
zJYLa(oWmH_n3@}m#Nocl@Z>g+*#{!11wNTI`r>2CJoDnlx^GUmno<z-?oQy=+#Y(T
zy?J?SvI38%WJ!-v0{X(zAGgULzJnOeTddA(uRuA9hn}{t2>BbJ*XG3jp_Vz9^6|^S
z?EYmA2WX=vC^#7ua4`KhLFlrx6n|m2*y<hc!;jQyU3|x@_5E!xL(q&VG_Aa|*X#)`
z^WttuPk;%<>jiG23&&NO6hQ~SLEl#m?7lDKTHAK*0kZHA4O>XWFpPsNTae?o$!GEf
zz|c@ZxGWk0n0Efb$ZX!f^O0^ondi$6f!}#M1I@c0H>2IpKbi9pVpGb^I^MN-d)s)}
zU&e*5U<8J3(XW8AK@K@kpp(#uWJBtBB<U+Z*^`nR_1uB@Rw(=OnRS!uwF$fbUTJO%
zIWNA}oFX?|)zx@2h%<9^Ca$N7AI!F@rFc~c&q&lE|BjFSXXdJ!NiaM0MS;7^igirs
zSWV4ou<;>^Lv$A9VLO*L)~KpvPQj~&Z9*UXjfKt{a!0N7Er~V+rVm#Ia0E?En}m<#
zm{YS&I^SD=@y9ts|4W0t<t_!GX{ED&S01l|%H#3T(JWBoqzuggwU$G+7w4xQKi=Z;
z0J86Bv#Ug}ZUfZDgn^QBmtRSiwH&CVA+Kj{P)NcZ_m%6Q+~OU&bf3W*6exotEE!OC
zE|%(Z1`8*aoCok@Y9l>g^=2O`huwehJv!^Oi90k70`hBRIIwF>3we1Jruyj<Q=*J>
zJmt0jl4OEIO1aLj4t|IVp}wpNPKf}Wog4mIRL@q3x|B6$=q;^7LY&<w$A*D#UvER*
zLv4x)K}=#*V=A#h>2dQWjvHC<D*iccrfyG?DP=EUey@K0Xbp@jJ~hz2pi&45`152D
z&sz4@lb2{Juf_9tGMZ5V)P^t(Byr39xAd9cG0mY3>3aEJ4boLo1XL6BUw;JI_jf@F
zx58Mik~&}%(>%8YL79+}wvl%YvDo?U(P|O+R}sKVf;GZR$4=MM%P6@mWTS7f>*u4Z
zc|oSd*7CECMn%kzt*b|CtXH|HJBq{uDdLp#6bEHxE&E<jK0P2L|6sMTei3gp*_ajp
z4E7^S>;~^`MNvGhQ`+kN-_lSUiV4Xp==1M+<VuC*-+KIN>uXG$rEpSt5Npf^NKWJn
zx9AcD|48Bxoz4R)qASqj|INDsnfvyhuZDyF5B78JH@Y4iU1$y}?2LTRm+2VgWN0C=
zpbWziwi2V_TFF`w&qhB|T{rPt2%K$@0)59pXds&L1jt;Y(-*4MjTybVTGho=q0zkt
ze6IW52hNcy&&|ITQ9y(ZGzuQjNagfgbEU>otVhqEJgFSOM)u+Uk<mPWS4I9#XzOp9
z2gSpgpf>$Je31ii%*vF}rzx*{S<nSWk2oUwQ<OzxEcibUu=?QMD|StF);n`kp%xa8
zD4UOkG-Pm-ogF?Jp!AEqDn=n;f&ET|mBB`$Dc>bRrdh!H8a|>0@8>h7M<BU2W|<yP
zq8lsR-k$M=)<bWPP@g8xwzTOx%A5|0&mB}HQ~kYjQ^<jM4O2=qR7$qGZOCfIC0LDY
zkktIe+LL>^Qk{Y*JEa17trFNy=v*i!I0*_daiD_s*XZvPNvwP92zbw9Yy-+SgC2zO
zy*3#?H`HYcb1VC&dyDkm2I<EgWH7aLA2q=+vRP*Gt$nZoER5e9d$ZE}7!z7mEo%D8
zWOvC8GBF;NeCt&teW*l}{udO;2gO^Eo***B!w;|#m#}!pgBuxzE9SHVuroBdpss~Q
z#2aV+%x%EsJ~z8j#{D3$B9|EucuLou#^qRn4A-u`5s<&V0rD{`*_#^N%SyS8bAM%2
z$!_&hoTKKyK80KaenH1=I#VVd6q;qMr~P*v(j=*|ZhyM&^J4)7HO*=_4shvj!~CS!
zU9reOUJSq-(X}7CAO*qx6c^t`LWr9^LH}*gL5S;AyW*KNLc342d>%5W<l4BIlr`*Z
zA_KB)MGnKrT^6OuT>u(@{>|fiWVXmE?fP9SwW)d`fh#I3eJ$^~Ryce|>q6nUt=Z7K
zS3yH_p+UqR@KbwnD_+NGKr`Z$EN)B(NEpUAt$eGZctw5;IF28n(8{!T%b`TVb<Qc7
z(sETAQ76dc59{7?I_MDcNl(`aR_5}b-#)W}*lG5J${8tk->c~ubb?mYX-2#JWf3yh
zvo^XES0$9BzMjN1BynbAM=FdnJqGx_1;B+(9dH;F*K3!}iXX9Z%)&5aL>(eNQ+(e;
zj4IOB^@oTzK<Uc~Buv$ZRAfLd(7=(~ufNQKi&!!4kMsN$ypc$g(c7;LhTgG|OUeDT
zz9#OYdadz8&2_*n1!4g*i<O7|r_8emO;_&a;#P5hC-zW=9%RAwr@!yOd#j!Lny<#r
z5ncI2#^VY<f1`?71{7@<n+3hw4Ht{>RE!k5IIlKpE=8-*je0hNA?YrHEJb{pcbSjr
zDagZ3h83?iHnH@FWq|wVg?(4`x%j<)s4Ex-jfXBWw`KIDc{X2*)g!o-mqf$k+7WWK
zKJ_slH^D>hE(eUk2>I4@B1$ISXXe5bdZKCc8+~0w6H9f}q4+dOlP^p)H3A%66K}Y<
z=}l8hU}E^qfI1Hx0_Qr~B64hf!21HD+wIWjA#y6+*q650Hm6D&L)0+PC+AbFcocmr
zC!<0;rf`~)kSm6s%Q;1H=||TJgO9S5S+A6C!=Uupy4d;bvmqv|V5~A`jjI9qD)VHy
za{Yk1IEf_q=pWcH7oKX@nbA0iGh@#2aE2XZh*X8`#Pih`Hn&h)-FTC9s3mJE{X9uf
zx$+CL*X77|Q-Yl8Gw^|t+lNXxI2Fj=$!n}JT!sNRe%+x@GTYD{s?YiP?Kvo|`G1U^
zby$>NxA#FnN<tBk5-dPKYD7vvL{L(ZZjcrjq=rUXX{5W9k{){KkcL5O=pMSHQ{FxP
ze4cZjbDj5k-#@(O@(=dj_ulv3_u6ZH*Jll0_kAJWJZ;t97X*8wv+R95#p=Mfckj(K
zkNRXk{Pn~U{hNlAOdxw3q-no4d>95}qwM<@2d&Nbq_!pX?&`6j_1w#g*nTM?)gPi5
zPb-&1pft-$ph#RVX#Bi?>d^@;UCUFbIlW}&uUlB;R$x)WS%Y;tf?%eK-LPNmZ&Dtr
zC%t05+1^3Q#Xbvb8<is#f@FtdCFvdAE~4Z0whZnX(VtgFt;ghNyngZUSoL$7&la>~
zeDoID(>Cfw?!Ou>X0@LnT*t-M{j6Cbd-DpK`4{{O6s_&PH7em?rsC|HW!^7-haJ00
z6#W30z(6bRFfsCcTZ9?6)0@rEPr)ckx_y1bH~%h0pS7m4x3wRUD;fDimyi&f_7hwz
zUy!p<<!#x#^7-AL#<O-1S8i9>89%_PG_=kuJibT_#Ze!-q6k_W@D{KJ%?+vi(_Ca<
z(an%qtvf<7Eqg52MlQIDkcj+M5-mjw%V6O?7Az(?5FzI?qL7kMF4ZB3s%Z(!uPjc^
zbBm<N6eQF)CVr7@(~2c>I?k--agVM>!^tC+zmo3x0IGmcLy{R+ye802)j7*{G`sc%
zp>(gS)`S?OyyROR>ysyKG|LoN<jg<|Zhr%9Nqq&qwR3O%k>xTQgQr$?x-^PQ{VM~*
z6$%{<5`8q$3uB^ZLMI{G4V(9gk;uIz6NwJ~*P{9E4c>ihymtr^<VSg<r@{;9v$~Is
zSs1hC++AsB)CUxm>F5>$_Xx2FC;+ERD8R0Q7`~oB$?u?i`No+26e!EnGcsQEVSO`t
z<f*da^vMsmQ?94EyH&<Vy0<-gt3ddOeFFCYbHVH+Y?-)Zv{(I-DE@}4E$W(9mhGMV
zsFo9J=uZ$8l_<YdG_!ncUOSW~Ip=l-YaWOoJfZV(o8B98bcuaNP`u*FTigB8;XR8S
zwT1bQ<Fu88H3=VX^D-PgSjoRzS$K!5yFiPkC<{NryD#uSW|WT3nc0Er5RCjY5YAxn
z1}cG(6U(Y5J)9)cul{1ZeE$_yMOskw)yNmmPfuc**Opjj;6ph#zyRq`Z*Fy2-MS(z
zZu-OJVSY%6K~;qh`3R;dM$i<TXrjvPgIXMXUT#hmE3cnJI9nXfeN_hxD#>9;pFwL-
ztH`=%2Gf*c`k$uMuSlzQ&jE+xZR-I3=8@4`{uaWo41`m4;!|iyus+~}B#KrigCJ50
zr12<dbygLtTZV~^8Z?_$b640nv#C|#t4z3tq@S)tR_p{fUPOLO3kYTxeHpF`AxIjh
z^lxk1-?KS6-IUUsU?yle>A8O`{--CkoZBUSEyx}vc&Iy?(K2L5)0QtlQFXl$e&ci3
zH`Y5-PwZ+J)|podJD3T1^K!y1I?SsN^6nbBgqPhDM)yZGnhzPdh%U829%?s7&}=ea
zc^%&4{<p<+f%;;}=+0$$cz#t?gMQ8R#xAPQUFeF^_VxV|oFpi0R_BX6g^}u)L5mLQ
z>Vwj|H!IpgFt*mlV#|I|ENWT1540a;<SM#ksG0QyPOM~7rbX~nocHX4afcSnhtd3T
zGnGnKs%*A~O|3rTq7)Xp64U#$EgZ!1i3<`z2x;;XOwyKsbr;M~rgOti7^f?<GtqK{
zNm5?X%ZAK0okO94+{RKhcS60gtN3M1-<_U)ocs`S3IZ<AANKJFRn-+s#;-09NULho
z>lN3<JS69{k}GF9YTU0ocxLfdOu!=PZ3HF;Q*&k+H}<enT-mpI6fG9)HCSA_>(+B$
zA%0wuyrO62c`MJ(i?8-3Sq+!%geWs^g6DVb=RHb44-#t)`ORsMcLoM65X0Wot}rL9
zPiuBq|ET`S%BtFJMNWB#3vur19^%LIfffc!bv1hbNh#^dxef8tpRCC`x27)_JS`pz
z;NH2;Hpwx6&`jlEAQ-FKo)t7f42yDdunuwksu-RhHIc^l911%*TA($|SH9G6-*Ufb
zH4yS}5~JmR&ZdC<TL3S`EUNDj2k=|8@zHX4hZB%w^9QAsewh4yApoX8C$29ux~E2<
zPXA?q8rQqWw0K;4)g<t{i*1YY9=e9X(Q90J$ad?b$KFKmKL2>w$e7(o5i(Hiw|XJ=
zy-LalXo}M37EP|(Q-xADFlJL%<OGdZ2M=O~`0Fm!C#t11x~fTXd&!(|13d4lwn>5{
z*iAo+4t7OX(YrNOxW_*AGp7MktCLj?cwrWg)xp!!!mO#pP3N3W&J;fy1S$RCkXhzc
z;2Kq&{}H4<q!s4_osF2Re(hg<_vR4a(uh+&v$h0tr@hF_)sxSYlcYO|tUX6sHQ<rM
z&a{gE4$xrPWX{3=MSWK)BMq&hyFrk|kNoum2spuBC3XLKa%!%3ickYmgco}q33Q63
zMe{n*9-j#~vLoD3b~jVPI*>txC^?FevjUyRGFmMcj|8;8Hr*u%=r6V_-QksJmO&$n
zu8~maj!yPy221?l7(5uPtbLIxXqyJ~$VG$gBm@WDFST`xzqSTZm*iA%C-(PF2Avt*
zVt;N>*Osp>QTfPOjZ!3#&s<&aE7FTDUl%Ffu#N>KT(}tFq|GdVq;pcg{BJ$7Ni?r@
z+r~j2Z+w8zwflCtXIa_qJ>Z!*7%Zz)0hfty?P}1#7bB+h|J5V@RPSW>nb9cQ-yVez
zE7k&M8fXHR#W|TpkFdpjH$B#ILk74RP-Y*%JFJ{P%~9JCUc3jVAGt;%JlWSqh_IcB
zo|tMb&=z}Z4;Nk7@n(1cZTKu%?kBi%m3eS0Qk-a=&t!T0bJrddU7;z{xLK6{Dp&!G
zl*15hGAHTpn;eTSHZfC2OCCP&k3I{nUD+~2pRRu1AUp2eq~<9Cs~gwI1{#apiex4*
zr1FWhxc4221KK+Mr>zShl}wM?{$JX9T!i>ER`BA>g%?xR#oZ+p;?iL`w0)ZGOdA86
zEHm-%%{00=x$4&m_boN9sTQUeW}H5qb-9Yg<bgq2HnOi?3rOJPDgxJedSm#Qy9Vs+
zNPZrS67eo3h;i&I>`FdNAQ#g*>nr>x*<nRC#u*{@S+*$Kgg)g$t%=e4$$b2n)m;|V
z)tUx(iCD1`Ow@4Xw`2C1Es(P(bvunU8g;qzvi^_DMrYLhqaq$IjcR}1fcZV9EffUE
zK|u!h-QM17ge)}N2HpL|T|paoO7NF;Yqyu~pZRT&r9txIyE=_z_&L-EH?5(;CDcaL
z`eNIW;`WZnADcEVK2e*rT@M10I7%sJz&;iOrWp4i8=Fq`a9#gux9!dL_?_>v8H5Y2
z&ch--T?d2L#~7bEszRc--TEeI9DOYHcNav>H5-vZpsAR8e^sd2zya}yS^M-zez(+#
zvwpK3BNo>2pS%rm>lfj)bXqru?}fj5H9Q=hvh~%Rl2XiQd|9BL!!++^7UkQA*LaJk
zfHQvtr+fFR`Z6*l$uW^Px=9Z8n%N*<8An$OK-FgSjw{&L5!)GrQhelNb=%Gksr$Rr
zTfT`$MoRIpp1Sbu<e~kmR!l_aIdm?5uDBU@d(hmm`yLvaF-%5f3LY<Y^=56H%=`TD
z=fo9BIuH(4rtChe>&t#e73Mz^uJUaP_W!PAr59^t2Wi5XMXH7uV&VX+3l`cMYUy(3
z{Scm6(}N^@8s)xy1*Xms*XPQq*>67)W&{Rm$1@RmLJUYe;&y{^C&@=_<HG*vbml&*
zK?puc-bAR^Tz?g^78k4QNG7W%1`=I|9kWA&Cx7A8zB6Y1>>(msUMHb1MyJ#^3dzkY
zNe-yqc#1>pJgv^~(Gh&Ey(YyVDxqglv8;D;t0kz{-6)rGL|+r$#$xrAM!v$@Vj>`X
zS^GVwkrAp&ltCWe+ge0qpd7|Hi^p!5r|WoX2JYF@2Rs&a`kFo|)D(7<r?n-t9KVO*
zB$_*6WbPzT<2-s(+L@m+euD3jINtbJL<ZxK8=k_Lm)<uLJVA@=s*E^_$OZBCO=Sg7
z+9Swo#B+haI<O$>r2i29f;3#;Q^G3N(Du$KcLh^6ls%yW$v-*AL#u}Pn1p3PltEW;
z4UBgGeD<(a8~W6GV5~^>_=LXntze(g*1+lLBv(Ez+586%ECItm1L^Sfy{FsDbj|u_
z#%Jx7C#LfBVUgx%NnA=}Q8bQw4iZla#E~+Nj(Hm2pd!}!Mh!w5*6I1mp%9yK+54z+
zqj`bh{W$D5tb-|EuqMGd6I!LA==Cw@CQ~94qBmaMrmuZy%TM>VtkRL79%?w$tBZ-b
zwfIIAAEwnt<a?^zL}a3+IQltC>+^HAI#@&Ex@LrtGLE>Wx;MUo8!5KUKhp(__v`%Z
zY&);j+3<GM$Z6nN#v>XA@0m+t+Xsf+E4~907=&#O+^L@Dd1+D5?N4^ybvSd5BxMuZ
zsdRAJi6$v5K;>dOs88J1?7F{l^~yu~CLeCmPo4rizi0^4J_HjIw(o{?{~%6sZhrI7
z^YZ+*9ZUW~M1sJRFR1o`AonN6mYs5wqfdkl=Q8Q`Z3#2Pi-6cE<rJLBVAmiV+OA`M
zfn)(*u#BKaCISg$DC0Ep;9x0YGocuwYWxz$)}zp#EJtkHBgx**(lINpo+|MyDeg2F
z_suQdJBs8DCglFYW{NMEJxn_M`AQ1`@-UClva&2+FTT}-UbeC*L@xfNd$;U<{5|~l
zz}4p^DmK{_2%jJsi~7Z0!)BjlQk25)A=<vHLji059<`wommDe_Pqnzi#(We<xNb-A
z`JPhh7px=@F88L?1dAkBc#}y0)0vI-fE@59op;?oTu?_iTN$mZj{nzJj3}S|TjGMQ
z5aFa$i8wNEIYbZ1lZR^ETn<Ks5Rb6xHP8JKR9O@?Z%Fw_g}3Cz(LN<uu*<pER`O!<
z1(@7c8emJB$QAtQjmpnTd%)7`v*mfupWYm-)HhXWTh(DuQ%OORNyKoP>08fc&<hI5
zBaCVVZ}lt4KT5+5%#8?0BA{natA3_k-``;qe@z}OJ(?oH@WX&!Hgd}#D{z75?ke7A
zQlLq{243gT^PX^$!K!ZxZH9Z0$k8yv)sb?8O0C>fojX%~fkd{W#1uF;bw#Xe-9pFe
zm@!#Fl9GfdpA6N)Ol>(D-3K{@8F0cu@Fe_@3VGvsk)Fr&_pl7W2k`Sl&6_{J=+OXe
zmu$kLuZ;?`9G~UhHH2o;q5P+U?~2ttM<i2H4i!@~<FnSfOgok9Dj|lns$*;ooT7W=
z+(^+BBQ_kHMjP>NWDvY|f@e2@w%s#)2XPj{2;S@v*#!2lv(GFB281|84B|M2oqg9Q
zlD6H>oH>Z=o+KIFJQ=1O2+C(|_*6$=;n}P#?wGsHI#Yf>U{1x7cT><v@>Y9ES!7AO
z2!~kcb<Z4dfMMO4RXd^+<290}iG8dm)dXhJ#9Sm2DAlA@6QlPwmrFPn$3F}d3>6iI
z>l#a*2yRH;!nw%|d8EWSQ{KA6b{M})4`;JnP#^CdUAP^?2!^Z-hK$uBS#l=dzYw9>
z$?9Y~y!7nKbr{mIzkPtHW=iJb+Ky8^B^p&sZ9x1cuCG<DS{rqvB~O6D-_=wzuC2sA
z;@=}=1%gE^Uy1)vAimY&o&AC~1V)zIE#ynY{L{b59Tq>3GE(AzCm{5(c{ZurZF}fT
zA+&OEk72Q-j4jz&*)Tm~!_kvvq5_<Y#FF7+a@c{z1PgpkcH{Njlfs#=;dXXB#`Lnn
zG_K~8ExQZ1us;(4rqUwir}*RA+txoHB4(Ug-e)xy*NZ@4W3n}-=5>KL2vJ?)LrBN=
zp0Cu?6IqfLv_l{{{A|W&gNP<8Kc`S`P1JI&ZYY3Thr-55p*=oeta_{q5g9Ckc_rsD
zJ%IPIXS9IHznZ;x*qyI>SL%q)dbE=@4kXzBTVyoFi7%dPEr#=QwdbpJ%jsGT(EFTE
zrCrf5*c^E;<JsKnn)|RxZm=*wt{v@nYL)J;&>|GsR??#~k_=uXTQUgE-&J|n3dQ5;
zf&9{#QXBNiw{Q66pB(HBJ|jm@^-}HJq0v4}eU9Pc$8y-WBkAzusO&LKn`c?1z1AoZ
z6*JEPuUwT4lCHr>h!e*p_Weh#Ehs8WG}|DRaIE^I>lAEz$EXtOeG!gp0#aBROdxsm
zoru2Ne~Ntx*5P%Jvy8tp6@t`)?o{<?$EhQo$4xnM*YnQC|C%E8tjJW6v7f~CbjJPb
zR>6=wR6r`aaeMCqC=DPcPFW`mzK*u3T`W-Kb9NeEs3{G?d1|TVDo{J`r<#V6SQ$^O
zmLMIqcL`4cjLY_xifZ@iQC6t^xh2m7;&CH|u<QS5djC;*-S~{1O%r0UL1byF*TVh#
z_LOz4A>Y?Vr0wkTiO1no0pi!|G4_Cn1{!69zS<|!^;<2vMhOT9u5w!vAYCYr(f|<o
zmerC<TkTz*Rl$%QxaP>&0h>coiRm~w0rUJVLA90ArdCs8@+Sa#bL)eq_%%Z{ec`h;
zwGX-A7+<GLZYb`*XcJaNRGjFLo(s%?Y($5a!D^iFhz9Xv?#D#F$!aaHtN!%&4Ndea
zaWu0b+|U~2ryCB~(asrX=f7suqi{mmq<wv!O2RCv<;e}$?ya7KMDK2y&X<-JdEmxk
z)WJ}X-2!htb-7#kY~Oc{Z{jMF);^tqm3}|(N+U8{a)@(^H(wj68|tg>r3!yylQi=@
z%sm|i1S{sgu~YErgA>f!0L{nO8N&|ypsc@L75}@dnky4yYDGS>4%@fg3|56EKMhh-
zA!cyz<=D;+pHw8Opw+IbyopEI<bH7Zr=zXvP1+<#x$MXE_WFK{>9Xa=&3WPQ+x{GI
zZp(Wc?E7Q-Yo&Muc^JBk=g|OHNVSoxxtt@(=II5H|4CJxj*X%0KRl$)j;;jnuj6nX
z>Jir1&p$bvE|9x6LKFJ`0B07*w&VH=7RW1X!-JCZ*~B0@MAfeaRX`jGTmiDc`<J=R
z<)-!bN{|Iy{u&JwBXG2FR<733TXxj5mpVRnFmHDcw*65pK~5F)gD+KLO_mDXE<!>1
z7AJE2T}z1N(+Afk2uz9GpTwP7VmAlMy<)mb)VoNeq^4hUwl;k1DjsV6Quenvl<^aH
zw2$_Nk;+NDI9jUBJS)E~V!o$acvX{f366Hi%BB0$W%~h)<W=H$W<$TBHM;72Io{A}
zDz&x;t3rwNx+tt05zPS?{#~njMp~AeC2_AL6|6@ESdT2Q^ncdlMLK0Gw*y{9O_45c
zthbASK~I8Dbik(=_cY*>n%T7WyNwx#WxjnjyUeS~Ui$5`^0yuCY+9Z><KsUOISBY5
zT!AggfJ@6G*lMk<?y)<`B#^&uj!q;vRLfzTE3qiqEsSbCqEp>^t$THFGfJW+<Ej1g
z(ZgN^jmiPm8W6#ns$F4_jxUld3L~TV8sC(+rwz8i5ZD5$m@N<>!yHQqI~v}ceM`>8
zQMSmKk2P~JscALkz_e_uC`MYX-uWG|x$#TLeFKZJa*aY^OR4&bFG{3b)BQ9GBdOR-
zohbMqm2P>$R{^GMV4rWNA5OLp<l4#JU#hPRWGQ4Vjg&Yp&}<oVPeBFCYPO0^?kq=|
z&s^Q-96q^(<@g_Mns3x348x(7CFSeoEA7=RgO8kaQ<lLj`gw?1hFtSR(c|4wE6~gY
z(myo}09^AQPPF@`h2CH=4TQt}GVJ5|S7_CofBwhIUTcr9085uXXbMyl<7MVbZD_#t
z&Iie<qo<@;JXC&ioO#}psD0w@k>s<|P~ugXvB1`&lQFi&_!lPv>T|=~xX=<MSOG4<
z$K(C?A}0q6Dp3N*1J;$zG|_N0+S#!t0)vFvh$J0+z;dl}IL>Iz=slF-?0Jd>Sb*dx
ziM$P5g%;H@WQDbsBSSxzkkQ^J!P&L45=;)lgUE+d#rpD<4b{nB3RzmkwOi(IR!Y;u
zw_jFc<9+CYk?#VU{!ak*1nft${}#TsA68Mr#NZJi_y1ARdfA}DAQ0%)xQiNfga>!4
zsj994iuHFi8k>m~!}(peGZyH3bfU`Es3ZAHVDx%)j~P35b8jyw%h2}viZ6^kNs&!U
zH_4HUT?6I=WyT-%;k5f_@a$mldO0&x-@EFQmsQpM-8))ks5JhteUgzUkzUaER1WmV
z!-I{TrRf%5+cr(ZP$Ec_)^Cr|Pd3=K@7M{(fG#r;ijWR?@f?&^FmuKF706!L??<hh
z1Bm$VK?-<`k9T&e2LfajU+Hd`$$rh~zAQXbQre02t|LnB^LWYdzx>O)nY{GNF>dUX
zvxON>^c#WCP0G+%bA_*CO10*KHOFlCY7^BviG)UDWy6j8y7du}wq}0Ajk#(ISgxI&
zcHKb+jI|!7aLAmpn!KwmS;4&ORYa%8km9oGYaC&uzh#Jpnmk=5xODD$h!M3^Vd(;F
z2S&cR--OS&;!VuC64j)xp^@9o)u4^i`&hTso0tulrvnEhcv$S`TZiG>=!^WXSJy`q
zrd`~>9!1XyR4z^wJbrl~(E0_9Ww8CvFzv>=ek{tU-n_B_JxenW%S0#PVqOvU{OJis
zy?E!2tj84WXA0hRP_naGl(13-$7BAgXfLQOl|$6Y)L>&*=^eF&agx_XKY@^C2;}Yw
zqOM09Xk&4W5<TbqpF%=S-5F5XVHn8FfEIv+K}Z?HrN=;D9ZmqzeI2t!XaR>_Q868)
zL~8<g^`(g^HKIh2Lq6x*(W9<20(<2n=vHtNCJmw7aLP3x-?dWF(KsHj3})%zI>!D`
zVWn!$UFU4dQYMfLhTXvVQXdWEbjok(>k_@EWbBl~B<KMr<D=(?4=UBnq<L%mPoG*@
zmU}z~F+gJ{5XdczfAW2>?rxtkJGF2$huD@^N8#2~n}Xpr69^__owNXcv9(f0zhrnY
zonpc4@bJ=MG)9iWlH=cH3#Lu`gnE;pljSqfj;;+e@d|Vxx#8szYMm}|xY#ariPK%o
zG|Lc#=EhT4DBcP=(NBF}x1Va;tRc(MD|!op`mFIXG?cBd=2k>{a>`W?%gW)la;2Bc
z(4pdlgH2UuDW^Df(kXq@kAM<@D$rt)7TPFoL0nihdSZi_jU6dMUV2B4IPk{r?%L|u
z{Gdc^z`J=l8$b~WD8)EEK#wK}I~MwrF+xuqh1X^p27Vqj-zPmIC<EmL0I^NuG9}y|
zNxZ#Y$`bkk{a`n~@(G5_RwFM|daw|Cl={&;qfh94@%@k8vy#KnYlGR^Vs0+wPx!a3
zF5SS4LIsyQ4y^(cAf&ndvp=@q%kE9*Q(#N~6eAsIf*1co-6#S{+k7WG63_K)x|SRI
zgk@%2j56;#2wkq$)uWT{sX)?RS8nSl>*OL+1eyna1zL=C83V81NDMpMTL-@FyW*Wk
zZgR4(PUosq2O1N$j2{dN)x^+c0}qnh(V_3R?<twiHJdU6w;z;MIDf2!|L)OB#CeEP
zP1Vu~5h}B8LU(REW`*{h9-n>}{N~uVj;`1X8~Au>F5hP-mh)ZPlpZp4VXEE2d2wE}
zEp@27ec+m#d_>M}JXyMz)HJhJsqtRhwE^v^Kszk9&ij?LoXXe!>(hHl^YmZA-UQ&B
z>~B6(MUdQ_oHw$vveO6Gz&p-AWgiI`-WlRPS97bYH2_Oz<}qLwOt~LT0hncW{W+S;
z@w5+UgVUrVnawvwOa3e*sDl9b{jV@OYfNz(k%J+n?>RZerNR;4Fp5I>-XhtT7xS|}
z7|`yx1G;Bvxr5#B)E+X>-@HUxTXG28%LcY$@9X;LU&aqF#vbimrU&4-=9xTWoavsm
z@nPFvM1>*ahJTL6UEXF;Rg-6khbV0({<#y=-(Fn^=Mv`s9!jU2E(|f^8&Qr~9UoT|
zTF+?`?4FDJew$Xwft$_{C=Bg>E6{hVJ~8h6hDOgjxygOmK8b??!NMx|<~k!)3eV*3
zpt%#Zj}D{0AsJlF+I}(BU^JG(c<dHzE@r3K`CN|6L#AS;CTrDV#oz-6mW_qGB9#bQ
zz}5qrM!Z-Sv6*;yr^8IW$vCULXc_Nzb;J9$j-(??mbGcCp5sIh9SYsuuh5l6k^7(b
zlH@NM5;(YGJ*+#7FuF(s?MYT7L2OQ&*}$2x-{x4!6u0xPk$lS2>WfP>8ZES4ySJbF
z+Fb@Ccs+<rJ%6Eh+)S<fcDHlMfx*-k!(sRt=5b#-LF{AwZ%|W04Wqr<w35!enH!lZ
zO@Da37?LHIj-J!!Pd+dB#?JqEJs;cs%0nL@Ff^QgaUsgxJMW~R%lIjcS*nZA|EGfv
zvkABHZdM`DSm7Vdqd)fYpw71`wof)3T4SR$?2y9t4qv#*!HGb=HL`ZOv&(%c*E(tT
zy<m@{b*j+!hNXh>q@(IdJ}o#XQWA{a5xS+TS)}xoUY2*F-q;QR1=(co6LG%wsE42<
zHtTh??LRQ?C7*$=bf)St1}}OwaQ%R94!>wxcC+@A{o;{x-;cGba!_n#aWX5zx4a~K
z3QSkFK)V?@Sq9_%$KVW(0R8lxZP^DNMgx%o2=D>$p~(j%st^Ff+IAE@sz#avrJiQB
zZRS@H+cn#<JJc*P!Iqr!PN76?2YeaWkR#v4<hE7tF!F~oM1DDD&!I7vC)m)qK6H`B
zUYQaG+k!x2TilLd*`-{7X4QIK=g3N8Fa;{EQpxi2*Ix3&RJS85vD9@r=6UUOifFux
z-!V%|FYFDHHdr~3YQBjDOpBkd-@7lpjw(VazGN6)wZ?!-wx((T7{k~539ATCZ;Hr>
z$&M^n13)}^dr&{CIuUd&P%HIpW)R2A0Cl~3I=^7gUd^M-2G(wP$wUU@M4W7RJE`BV
znh0YVeJ;kxLUS-qaeOn|sfldBlDAHAi^Jp*58mffW#RAqQJ~>$w~DZiP2!#$eCC<D
zEeG9MuiiS6>s6d@yJ+(De^E(?k|QkCydJa6-dxnt*9@?%wfBKaQx}li_f1!glgt3h
z9wa3^kj5~N9=V$ie^-h42C8oe{MNymi}f(?_)!p?wBPN@xk@8-olF&iH6Ag&UsJ4k
z2a{@;^zq1+u9Wa}H2nk6G9C=^EA+cl%l8*RLjU}NFuVxivpxV4tqg<;6{}TN{2ZRK
z>ngJtFIfJXi=FUS$~kqpdwPgvlnQ^R1KTw~tPOp^E1C%dn{l8i4mi~xgD4gXhYGw|
zegV=n83u-H7fk{73z{fL%*`s4HoTS-3Ef%v*M;w|$ls|bh(}AjBT_*~y2YPl&>N2!
z@M#kcky@IX_A~BBn1TVz$&R{b%OoTu-;0X2N8E)O%r<fg3gj`$&XFR$B48nlgCZ`Q
zAM=Weka08`pny`%7D6_{zE5y@bc_<~`r@Ii#FN_Euk6A!Sh`?F*5d9&1;kFo$@jOD
zZtWl<j5YPSs40rf`BTD}ubRPCk{mZI2Dx-~i$bWF7dwA^vwT*0a?p2^S(PsStBd^2
z=GHTbJLm7UAzq9~l)d3kkUKVTL|tEix$|j|aX_+uk^hDdGt~S);WR%1lV>6}6?|wh
z7TJV#gAT}$5kFhToHTsUNdd5b6aer{8Hnydv8Y1uZ8q;u6Gv=TObA_UfkcagehISG
z<ApF(`ls990q*rZNL~O%GJa=(KUztgIX4lfiNnfhDT0z2&@ban6AIxp%AgQHBjfB7
z9&xEbB+e-8E77mxwaI;uz`1{7rb(^KPPxpYX4O~ITm7O=oJUSa@`8Lwpi)tP{Gy43
z*`Dmk2ZdCN^k?y+u|$Tt1J=-5N&D?VV2&9+(yn>~$Xv9-u>8WhL(M-m(u6RXL4c!8
z=W>FM9R^7?fc`_mD5?!$&Xx9^4`S^TCzpIF6yCVI*8$MbSD^Ql2is4j!Q%o`dSxX@
z?>qy158pZRW4(ye<07f8z1RD``?r|bI3{UWyFnpeIZ0H^=Cj8agQp#ZlU;9%g{qu~
z;4HHwN;t0Zac=U|yKavkJu}Rlp9DOndgomOn)YV-vt1jB^5aea(I>2J5BlFxhV=Bs
z!9MP2MlpZ*wR@tu;w$+%>jfJnDxit%y`^Qq#?Z>YK+%|@R>5K5j06{a6TykLJg<5P
z30q2`0MKHKZ9gFeF%b*_$K!e#q^dgFP^|-|Ncz>_KT^aSaoBYA2F1G_QafR<_cG`?
zL81$A69{kHR`v-z&wL;$SScujjaPLq5ar8=lwdjfR2(pl%c(1>*RsEHD62dpJBay4
z$pK1Ae|+>c&(PX6?+7koR2T<d%@lM#Mg-e5A9f%NB=CT*ano$Jv5W7bPU)rpVZxJ4
zYR}~0LEz+Dnlyo9|D;6uLb4_qYj6B0{GkiWBvazLdfYzJ3NpwcJPX=8aFX5BAZiNp
z#RR6-^#Fn-QfMD8VMlwHufAz0UD_U_Hng?z=wu5Yq-2sEc%C!&9KLtFah;-q=Ce;u
zOgXoFxXGtj3TVR9r-a@T%=fW;wTBRXz8dY<Jkjfw>uTLk7PUn`2RyFrdCO|_VK2w@
zb=rsOw)etzlUO3><DiyBNksCzN@X|DjmR)7Aq<*mUrzW<c4S<g&Binxt7e!kWz&53
zW+*5t=&OFS#?My=yxWVMthx>mcKg)T-~MjAczI#BCtog$RXtrkf|Iyy8{bm^zFyaq
zBF8cv#bwpmSm_s7$3GU2g!r9)-jXxC4wO*9W&I=A&Lqf?I!a&*a*pCtuLF3JuNyau
z=xj2Q_>>4LaT<&iadsr=r)_G@u4R=F=zwa5p5YnZ78L?8@qh)<drk^)rE{~^0GE+q
z3WseMisJ`Cv@0A+6*kg5Ud}87?eKKtR7`f}U<!^#Z24&@#g8$RU3v)t!~d-ziIHFi
z5Ix?y>&m#JU17O^f$o)lQeG)1OSnRe>-Xq5W>tOZ9h!lq(6D+?-S;t&DUrWb{?H4e
z!%=Cv`>QaV2Eoq8gRj?FR(kXY+0FnI<oei|XS*#4#AZq<@8DyqPF~hjs?qKV%{h_Q
z&ZCKvp4K&CQp0LM(#B>g^DdliPGCZ$;a+6CuB2O+BfjbPCGwiK7_E(W&o$E1+u_m@
z-MX^fU+TyN42|OgLa|?UHq5GxdRwc88iUIV<{R<-<XA^|rY@;u(#z*hAxTfjDiM^^
z-knbZLEQBZ#HDB%y8{F5rAkt0SV0w7?Qc{H@7krdU=sRGM2h7wZZu4|7?T<S{@+t+
zck{vOwaEld@fPrDp<%CFl}gf{G;1xX(SdTKZ}+Rn8&_wdJErlIN_cx-JOK=7P|VBL
zIfxWa>$bOclw54fQMoOc2E@?a+X66uZ0w9+u%`%k5cL`N#5Bh`C+%L2!k;%cDqJlD
zs#_0}tBFbG5O5g*Ek0F#MO6|jamUx@t|XWLhCYYmEE8tZZSCD96Hr{I%&=eA?ls^@
z+7QuC&>T-ArRW>3F7j8y^?;)VuoNA1Ua=I~YKGRbeY9ai6=(Hx%=^c<b6QE8s`|Xg
zXl~<}zEMlSxMPGrkb|O{pRr7md={<Ph2vefenH;6m=&nZ;hV3rA=}}tQW1WVG<K%Y
z{Y4EOW*Z`xA559jJ-IxireR*PjtU=68((1OUyVywk<xC_4X)`^-)a=cROI|jP^39l
z*EboYB^9Qp11F%@qR5m=dcKYAfm_*3b?oqGY*7|QnDx|7IHdnzPl9&!pCAlP;N=Md
zL&Fu+h)2yI-u~2#iN+iUQd4d_4R>uBFX=|{y5#Flc-VLHI$J&y`?2Yv)FIM{oK;o7
z((rebo1v^T)Nm4rqKa<DQe8pJh`}-~eD_)<1wEg+<ts3qpXb%L6kWo6!~m8Z%dI6S
zu(I~O@e!LHmkf;vtk6mfVHE%Li9RRvD*n7vgN+Lr>-|xxVg1m>T6$-d-_4qZ@;5%6
zJqO#QVaR%r0a-BovW9f=ynfiCqYqLGLZ|hB6o|>6-#$!y3?3$a!l3&q@`22@4Tfj@
zLUl+l*sFL>@&}`C8Qk?tHFak2?HW`CqYk`TfH*s`$xC3yI%yIo3Ab{dyvOFxJSm{M
zg@1|LAh?XWo)iK;!9a?L{qXj5$JvD&Dk0MJ7|;_Q;oXr>jQbJPV>JkGN}jxzv40!?
zBT(hu|1tOD76FB>@;MsDUPB%4%51tn>P+M4V&yvZfZek61A>Nr*2D1fwmyFqWvqVa
z@NP-EdDz!&2OZ9ty7o>NXBN@VXU*b1r%_s(AY!((NYmHKVPfkN#(g3}Y61eT9Rb}z
zJmk!^ImgHX)kFKt<FXPQTNCcl-bo0b5^}5C=?<zQ7Cf8sn4Pdd<HZt_@DY}9Q-J`U
zUA{t&&1LsG9~|L$Cekc@Qfj+hQlmQ^AlBqQm)7}-alWgxsT1<Fi=xz5<<1d-(#(Q>
zJ;tB@A##{{0YE<i-;C*3Mg*wU_}{WQgBz$p`IMo*f|+uBrkW8Fkj5zZy(1wmH`aq@
zTT@WBAsB4_jl<;UMVt0%W`8q0%e&MN@YtZKt`s#?QSz)O<)rn7EPkb}G(PjBs2+3a
z+t2}_dcE;SA62(SU?bhaHl~x*q!^UCCUpvlLh9VAE|$(VzrxIeS?%;A0*aXha#Ew`
zci)<!aeIu$gJj4T4E+jZwJSz`?bobOGn4+r5HA>o2YC;YOdR83R*s7%vDREgdX+vn
z%&8PgW1Vk^T)Eq~E*il5#3_8jeKC&)`Jrb3?N%_^{|%5hP`^dk(a5d3_BF6ZTft||
zEbrT?ep|9G(%jAr&}h!@cl9;jwjm(%4*wig+;9s=(RcuiqN%aiA)xf_Lm(^4*#?=h
zRRj8(l^oez3%c49(5szOIUCOI7YGJ=?o|&8W>p_81JWgdx=XU{iNS%>BE4cM{uIHA
z!Qe)n?wOxHXDhwE!hotG;d%tCIl9e`PH>#>tKza(1^(H7(<*a{($+6@B7$-*VG>T{
zzAwJ{p8UA=nO8|y*_+_1zs>pM241t;l%yY|pm(U=gf4C;aqh;6&7a=U9u!ilS11ff
zmTuZ!R-R5*8CqLZIyi8A#6*{V`*aI4)QB4Yh#5&<osP`Y-cy*2k3MTYQgE0qrjqiz
zdPUyFzeSXP>$*112XChPcOT?)wLPN;AD0`-+}y!B^XH&wai*5)9j=A3!cAbPo}Rbf
zNdTAHOozlcp7r*Fb;*A2l{5J`G_jm7PlwjZ#mpKmU-d|If!p>d%EUYw=HpjO;TXGF
z9}WXN0Llk9N@~PzMz~vdL7uXm({pwdxZ<L)Hh_Td72yKd8!Y1WIk=S9%INxu-_>>%
zp7*8kq-&|Bb1ke|oTVExuKbElECUj7*oM_G<~o3}j1xP}-nZrJVViS#`zr_6QdBTm
zryqS}-;S*wG0t>bp1-edHXvL=h%7JrxABqy{RnaRe3SnhvZ+2qSUE<nA{B=pzAf+M
zFKeP>s&Fi#9i9j_Q6V-+pm_B{VN^HRtBP<<@<Gn8k`3H_x%gV<P@2ck+Teya4f02(
zakb4dKSqXvHN<cRba6>?Z#lPjo&eGN{;AZZ4=!}_a&SAg@{vdT+rxM54jK<<ss%`>
z#+_MUw2hrdB1$P143$SI%j<TW3o1UZ--yF4m-YYcUm-K(9w}SzDNJ*D{>EC09H;>!
zIy|t578WJP_Ni9V+S=i?{S)<Po;>k1%*Or4x#6+Do<nHllV3D%dp;I#`A}k4|F3}H
zGjCkz)TKqcavmU>U?lVvBgW;EfS!fH%WPgc-XqsXCy$zAvCJIR66N3At-r4PXE@r+
zOiEbrdxLFxeQmAjavKB)7Tg1qV^DbPZcyO0+2BZO<3X)7fSh~~nG2<?Ev)U>Diyl*
zTSV5Uv!{c(uwX$!uZ_51G(jlfg*MK>2eqjhd>`Cg&eSu?`yU{2qTq%)u@2XSZVR~9
z1_s_J#J^%&M<GlyyLdJYV$4U2)v7CJQsg9}9(bLItERw!%uX}FlA|jUicG_Cf^w(-
z8B74MI@6N>83{y19sY|gE`lpfO-1*{F|ir5jTM9AF0ZcHkC8>r9UGEYEq~0n@2*9l
zuGPIFutH((CXPC)-AAnk;NH`qNjN+CYq@;fF-@M2apq%S(2bb-qpzkj81%g@r{Pic
zQrnsT%%2hQ)~)Y9;!;!!^;cs*@2juu_Qldom)j)7cJc!wdKOXoXKqSW)Ddg9<bHkE
zaxV0o2I);PBiCDrSqm0MZfchBi7fO(pN;R&(abU`fh7V_w!-eAT`TmY<&51kelC}n
z11vP3RB8KmK|Q{FQPiZ%%uY>Hd)T_zM2$i^pll0$Q_BTuQ@n?|xBakEaz*Z76=AG^
zSGI>4mNIBw3U<mEux$|+8^03vZ4LuaQ(dKa`%c&-V*G3sS*G-wB(H=YzQld>wfh^B
zSK`<d3}yW8q{6jlkmi$KoIq>2Rq?5|-MV|rwr4R4^)Ve%wEPxW3XD(pLQ5nzU;T9Y
z$Xm^VyRqQTECx(2Ea^VoDEaT&FyqW-IM}9O?l!SI(h$*mS7<$;DwZwNc+;!lq|9Lt
z>8N#8lH`bQRK-tOIqGCZTW7bQ(*%v3VbbUxzLffwyqu7@P3Ljdx32y-ak8^W?9#RP
zsH|({kyL(1EJ~0}1IBF#U<3YrPE9oYo-k!hS`DTn5==+qc+=8?yzX*iRXgzcDAF62
zQ`KVYRpD9qg!%9r9elZNT7<Jka1g(g#ctb{XUP2nF$)I0PHfZZ;`u`4Nf(U6^ZTWy
z|59;QR1c5JnITv249dlCJYd^?&1@pma(mh|A5i?U!WZ-T#ull}gej>g{yZy5ma&k-
zq677v8Z_(5tQhGoVjh&l>@Ror#w4y{D)Sh21yUIFc$VB~>|BB@SYRTWz=Q7rrKEhI
z?Of>mt9}mlOkjeK`{FY#=KhsG!+!sj$$?I`MSs<TVAcHKCr6hj7|;Lwk@b>xs&r)C
z3-m?j;t~F$$+COax41oNP&b{aQ^Nw@`KTYp#(}Ia9Uc&>+fwZ#HhUZwwHmeb(z6xn
zC{5vgX=BPyzVSF*N4P>$>~i46)cK-Ta-Xx}bD1oRc6k6;tTc>e-ON2S++$Y+PUIM-
z^xCf#bkQB#tXHdoXHv-ywS81NU{zh{^+|6cj%T4igeiX5F<DI4rFMF<R^lu$5S*_t
zA$*-w4d&M|v4AT38p^jDfBd`g)~Ay(=Tt$!Kl}KkOCMthZzh#7CyrmSVtMxdZKW-R
z-m~ja54=|!G4~?dqevoBDMf`Tvw@LXab-;BXd&3pf9+3v%&_z?gh{%S^P;qcylkC~
zh^CGKM*si~A0M3@JqkgqYe%i@*8x&r4uA)NP)*LG_%7N-+YE4-*>bKIT|dM<sW(8=
zs_*ux_MV*@)m1xx$}^r=t5FDxxXZv_Tl77TeRy;<L%E{ly3yeq;cDE2-#6Ph%<?j7
zt)cVoZMVU@@2LO=k3V%K*`g*N_m%vXD(TH;Bv!zb?ah(E!r1e|9gPC=Odo$8V`5s9
z@vx?#nPC;Bmupdq7Y=*Pm3F^VR>f;VGa`OY@OUbzYFbu*k^t3OK!(vlB=zO$m_uU0
zod=t)*`e1SGrc>Yb+X$deO-uMN#|2A-Ho|aW2zw^Osf&FkUTT!^X_BmI$L@&ZMuQE
zK(Dk(TflQ^+*Gf8V|HZ!#Gf%x$2#L7K$HD*)uu!%l;F1`)eAr5dp|S9l&yFMAOEpK
zL)krDoui@m7?<J~0#H|+2d7QpP51ixh>S$n<<rahtdK&|joZ*>zF8B);%L{C_=T%0
z=lHQNnI-z9ao*g7r<Dfm);oJ0(Euju6|B2R8PB01DEfn*GJ;xTj7&J%kUumi+4jZG
zC55=kF>o1yT-)J8dL6q=AMuuGx`g}EK!ne~z`Ht~+R)1rFa6ShaQq}1d%>|KAUZ9E
z5mhkkABF$BLIIT8Snjmxbli~d^tLVK5kS?Q_t@a@DwI)-TocUpvTuN=`ItQpk@2t8
zb4o4w1WsfuMo77q;3P%#mZa)Y%lk}6iNV_#7i#T#X|sah-Q$mM-cX9NQ)ZX$_IM}3
zF1-21ODg%cZB=8wG!I(!hF!Z=LxSreA2HYNV8M6mVwRn5AN<p{egn7NDA2}{Bs4$U
znrw0#G(yBOid2OGa)5K+w%<dE!tiGZMw()AzJ${fYsJ+s5p8F|piT`o)=DFo7glXB
zFJoh5?9mIL;8H^6`_jyVvDE~ta{BA%WEH}u^?^zN?Ul*&ZFn~0{sBnetagh-6gVei
z8&=M>BGdf9giPs|C6dUfhSfz|FvUjzT9uTfWWXD|dx+_7fYJ(7_Se4SWnTo*_py9@
zU^tV}e=n0A99<7FdON^n)z5|-@Cu)ODWqSvo%U_=VvMzybo^Uy2*$M`?zoJhM`hRB
zcyHC1c|((Jd@;XE$dr6wP;Giy^1B<%hbMg`)2b}DXR2Jc0YM<uH))OUeIzE@2ZOVH
zsC2sRgv=Cy3;QR`XrbL<egAabNjs_7bpu!<>xXu2>@&s_zl8rok)NBkc@RXnpoho}
zzbLV_60&+z;(7s+JKgurMA4O14M=r>E(Q!zzZ~V1jjfmUa+Np*(rO>6597IW+yOz4
zT|*ak4Y>b+hyvBIHvMI-VoCC9aPrkpn95HntDApD(H&K1l6{sPd94}*>Z7@sqkby@
zj_4Z`Z@ek}`HJU<?cE$JY3)Y)?`JXw?&0}ib`#dSJ8aP`EN5TXpTXxB2qh;^bw*83
z(+<b3jGZ7<9HaW1I?V^puK$2qK*^SW_QR0_wjsht_&3US))Bq13-n;gTr2eGHA{%9
zYQtW$>jW>U4Y_|wfV>&EjZ*sA!mxlR^Wy}U5^HgMH3Lxj2cV{@GTu7dA{fW6+*cIj
zG{E!)YO;d4!kBO|^_a*fhymuB>zKUC&WP6l#X);@G_B3YK-o7hyhrB<sIczGZj?2u
zD8{PeEZM##AhP5j>G7fZMPCLViQpyFmN{;fgc(*{BBuK|CvL!O?XW(cTw8JnvvWPw
zKg*yyH!nVS*#uk}EXAq0N-`0VTZ_GcF(?+2ekFKpa9drPWxrh_bEU4b6fcz<Ai-5_
zw-ouuB<XT?A4@JDDO!KxegSH0$q@hkm7eKOkv%1r{J2m3L;({@uV*>p7|SyCj-S?l
z7fW}x0P_iy4)K9*B|dCY!3AYwz!HamC7zrP%b|~DB~XH;MPnU?n1&87ww%&Xyy8oa
zPSbd~di4ssco1OLUd+Zj+QOt^LKX$7sDfnwNN`L{D`KV_qFQe^a!e~*+MAd{XyW1%
zpp&)vTA2>thqQ3qO5ckgfaq!`?$Oa{-JQ6b_$P(p%k;}eqbPAEr?D;rW!)E3m=RDP
zvn$PhH^fR@PIvg5!GP8&1fLY0k8N=ZUgE+uQ92kDh;-M9`(PVekK@#s;BAZ_d9WQd
z`kSO?LPbUQ-Rk+Y<4;_a4<f2%$Hw*|J|BF9pjx}oz7pR$1X93C-$v^Xm5$?)EIF?x
zOT*V3-PvdA{}ey0lkA6oP!#m9KD=j%=I*eA15PIZlWf*@U!Y9eRv|A*Hx8XE0uSp)
zz9rZxpIeA-{f^_3F#o;LDW#J-)~5petsov!`t*x@VOnbBdV2UKCSv>dTir5j!EK2q
z$ImRv1P-wA`ejdWFst;ok9jjk|8U#oBLe8D6)`0Jx(3!j)YX`r7zttVR|rFJhBQ8@
z(ZEy8eO28V)pL#CH<!+tQ#_R-&oF&hImY;WauxTvs<#7ks7l->qLi1|TC;vDRiSXx
za;9XU_YfS}_TZL!&qnXr9IzMPPfvVLtvyEe>r$xt$Fs6O9KaxjPpl$Yd;&8t9t|vV
z>;E_@q^&v$_=vAukM3hz(d>MUd;-7`B@?^<lKdr7*L`(O`KX7nr2mx-WOX7??0RiZ
zgbNukY^vkZQ>LANwKprQ=;t>B_i}f~t$;Th-0u0!kA){zk49Zqd7NremVs0A6vQbG
z04cMYD^2HS3Z*J7z?^MWK5dGbXh??Ydx>=ba}<|(C71&1aIBZD14Y87^M%){R*>sU
zyuoeISF&kxBE{QprC~EO72P9;OE+RPEDE5@AoG_a{7fM$c=#*+(a#eyPUMNm7V)ne
z(WZXGQrKLyg5Kv=MpEFkV<J~H8^fFLP*C+sj`siv<1l&V$MG~vzt)ljoJY`IQKhu`
z+i~vadB$|RoO((>zs_Ehi&XDqEdX^LWfg914N^Iv_zVw#BjQROS3l&(Q$=T0b*q~@
z8DH*o%t(R4bilty9UY^?6uMzVIZ6}T+xly%_PL3_bFBc2-_vzo<1P&bvEfdRF;LMm
zCdw6N*--O{x>-hQ70~iS##5QLiTCArl$28_SEan%D0nr@7mI}zqY@iP96?QQtQ{R?
zO_*1)UBt;dmb^yjkB<GoD6Nhj?l9`*Z~dk^C^^AAo#Fx$M%m<2_EKa05kMxzDE)B?
zI^P&~RDV%i%TC)OHrR^4aj?;w^OSuc<Vv-=`Ql34+{J~TwHB?~c)^UnD`p9fIoTf7
zJc|?Tbt{Qf(XYJIgz1Q=x2HIf(EGf$BZhEZ!<6srID*3eyEXDQ-~cNFsVBIu0}Fj6
z#;Y25^gzHqU$3^d{-Va9E1doQ*CA_hBTK(>QyH**FxpCtU5vRjr+!);FS{$F;RYVK
zaGT*Tg2oxCQE|<heL+U+#4084H|DGH_u1JNji>usX;j(Xm>Yo2k{;gqa^=Y?2|tUk
zG%;pSX(yi=tUGCIrA_rQh|dcK?=W+NL^-xPv8=s$+Mad=fE#Ns{(D?xuk$~$M45<+
zYg6djj<e266+cB;?`a=UPnBR})tB<>yCq$@;hCCW-?O|nVp5*?H5v-K{r;-DNm}hE
zw`1ZpoXVQ*tH1I~Y5O;58&_ROs%=s|-8~%dR3;XzzdTyjZunA<Z$k78b~DogR3s)^
zTri3wtn|0(+Mjr;cJUItkByFs7Grp}JOx2vTJc<}5L&o{k4)(}W%ncIWHMomI|iFi
zXr4e}Gv&Man2PqGn0pP3VZ2kc@4h>UACCkl+xf<GD2o;<%(6tgfd`Z-=w3*c+8i%)
zk&oMVvx`)d(Av=^xe8qF&zOi9=&lmrP}Ce(o$y+hCmOaBDNA&V0t)D}3zwMhOA8#_
z4Z2(MPZ?Fi?ug&HtQvFYpC~P4z4Jf`bAMR{P9yCa(gIvjJ83<M;3;~J21K|PgWU&A
z3bR2Ia0c0xp4rtKJny@uWyM}~yW9eT;=6vp!&^r??!Ek;8}li=LXm~NfL%jG<M>ln
zJfxF$zsfQzg)EPN$WN`^bc%S}Y7lgkYw=o<zo^C13yF#7)|AM+|9D%==2g+#_KEn{
z%B2Vdk*!z(Zb1WJz+kW}%PvH{RHYGL4woG_9fCr-tLANP-5bm!ba5)Y3R3Q|nBIuv
zGh=bZP5xk!DYeox-aRP}B&=(GB%(OjOFYw8ouq{_$dbZHMAXiI_twtH<2UEqum5g>
zY&%7m8^0TYQ_GDa-9(gtR{klHs#GYiMn%!p-+1qjvOWifM(y?Hc_P$W1b%^OrWgdK
zU{z0n_)wj`F+46Or1SmX{*c@2#q0O4frPqpHxi9x<*uMkx_MqjU+FUqP-ybC`vNXN
zZR1V}Ef8RSds9U;z#Z4UlgdtbkmEhFST4ogF%NpK^c(BjB66?b{}MhbUmp$n_k&}3
zcFS$gQ<RTA+2grzQ@`FmTS9jp*Ngg|RwPk_dUGnuljiuF69w&+qR-N(Ca$iKn?zcc
zQcbKTZ0|c&MVqSv$4{rJy4pYTdJ6=}dU#MQlE2}~TD3P?q3T4NZ&kxk=+Bp{isPD&
z+x%l@i(7r4DCJg+!=?%gp$-pvDsEF0V)_Dj8I^t3zKM{Df=;?-Ud0#bQ#md0)QIvs
zPcbP7KBm()ZcmAlhjk+QPKKUMIW3L85^WKJ-)QVJ0(T3tinhx+g~{7(4<|%QfSHiY
zS1<L?VPgxeA#7p8a4x{K$NCvh{-_G>q>b4#kWBJ!_bV2@{zWUgLwh|Qcv`Qc(x)uU
zz`GhVvM!aS(m$4=TE)|;a_bP%+vViei>DCyb|rrcU>)9F_l!ykOLhJyPEffnUc!wx
zRJtnUJPJ%b%;y}$S)?(5qdg7sL+NerXO5Pb&VM?La3~5hjv?gdnQC-&rq*QQtVOtn
ztRYK6Wp*Sd@lEE>E6g~d4qu-b9NGxON#+!leoCmItM?M}VeCjgxsKQ{x`e$N@KFfu
zbuSKYETh&rZ@KvfnF*5dz-1kXU6}bcS0{HO>OUcMG-q=2$^*cYW5)yI7VCD}dcKAL
z<F8+N#*FHHJ%XT6F}n_7fvOb9Po+n!_ao)r4VK1Cb)6Eq9NMrX^;JPxh&k0_wiG`d
z5~@`HlDUKJ#Kn6<-ddozt4pNT!sHtxr2XZW1*XOCDtY$Xbw_IlC_OcR+QJm?DFTY_
z1Rg{G%<W4+XdNQqpA0|PZaC?+wr?h6srp?5hU1a`XE;BB+(xm%$+<4mn9gy_@llSE
zsfYnMK<uL(*nI|(Gq%kI`CNHZVe;z(V-5siplAk%J5qs4yTahP90xx%<etUL^aWEy
z@)t9g7B3YTqB^@94Z;{DWwomsX&(Q7AlL47q0O?v#~$a$&{Q&-feT;6$)6E^?yd?l
zXgVRlXNh*Lp?IRKw*LW)&k-}ei=O*W_$;b{daz<@q^~p@I<$IGyIx&Bj$l8kN`xwG
z%rQ5V&dRazLlvanEqkb~9LGaV?<Y)u(2tIMHV2{d*~v2XI_-s#!$IjKjP&tFfbVUf
zJ3Yjjr&QBUC+4bsW4GLg0m?$IUWW)?><>CL;ZYy|nK`T;!*bi1@_A6tOQX+7+H|QF
z6xA8nJz@KzxEc``lp1fAWn5>BV74n64;kMcYoDTu<`AfvObTw5=7wmc)wA9~(|Yvh
z*%`cV@nTTe>cvoSW>PYz+QK(j1A*TWAY}EN(Uk5xP56jeZ(<>1ZdD*l-|gl?ffX(S
z6_{25sny;=!sk>6tRvR%V$Eu#vdy-Vs^y8}K)fInPjUW6@Gl5OZ&ZGzCCZ2s=B?<_
zC%W|{vUIj~jm^s8T#Y?G&kq*@!CR}`7EQyr15aI5k$#berkX8YItn$_A5Gjs{(!z`
zTEg+x_yG?N-5o0%0pu_Pm`Y!|?guK}>soa#<$#7a1Z3*z5}(!p`S&f*&OE)GDtqBu
z^l86d(wPxEQt@vcbB#xzRN0Smm1R(3Q*{}2hI)yan<q;^gIQLB&wlve2ceFZuqFyk
zkf9B+ijoPmv#!-z55S~w6<J%VE)-sT-<pzWCp{1&pBs5Hx;Z~H3{ql1Wx*}|sAP`u
z=PAazB4n?DhWQWp-MGWM21qf7Ll4A=F}i5zgc8`rsF6@kC)bVOOBYZfP$Ra)1;DZ|
z0GbqWA!VbOk!GjZQPN!|Vqk#2oze+na1I;&Y~Afozi(&44%=bm|0|i*#llBicA$k!
zY;qN&)dZF7+3m-SW1UZH%rDN=#(yh}wi^7mIY6_2`j|Ikl52bU72(o8!JYFuzEJo~
zDVgnnT1D;q>r~r|oz>w#)u{KHRL}?@GsaL!9~Dd#9Qclbih-m?mmu`;FYc&ANX^0V
zE?JrJ%ee_4AMZi8#JIcsTk~s5|27@tcZ*r7>l%uDa>x9QN_C%rNe+9H_Wx<^E1;_S
zzAzsksEB}o(jwAbBHbYJ6Hp0}l<w}3MhOW4krGfqknT>A7C{7Qq@-J=q-I}~f6SVh
zwPx15wOAtW-gC~q=bXLw+3|fG$$`+{668*sik;<+nN0xJ6JJ9gk)H#`2$^?<LDkmG
zN)see>q`tyL&zwX4M-rCmR8zEmJZn`w)#}5=bM%dOsXw+Hsq^c-l=I5?p}Wj#Gyhi
zYcCuN$sOr|ehs1Kt4T(dMMk3amlsUR2#PT;AKx;-v?k7VC*{<v*K3M+Z1=}D92gCH
zSL7hc!kt{!l5undXF1jw*J*UQJFnpjBcymavxNvi=)g`d`@F=PoV%27SE*K4w)g&(
zA1pFBWLg(KHQ?U#4rV)4T{<ywXX%IRgC!uT{zc2et~~crb5wULp{pXCOSP(mvLHc_
z+XCys(oBO%we{-8j2nMOw(NfWmFhZ0#Lc|dQNfMn(3djKeM}`-o>4J_GE?U^bF0!a
z`nFVNH2b@wd97+=X6T7To5wB~Lmx-J3MyBX+IOY>)=Bur!9wvVeD!HZG=s&D?;Weh
z92^{jZu3c*cRiPsf3KK`<)j>ZXZYPjT>m<Xz=n_O58SBT(BI=X0`Ixkspn*~LvOVR
zi0G7nx^$e9d`)j8ZYg*4-irlMtT)m7Pc@g%NB>Ed)o|bW;+{191E<Hi&7!pCqP12u
zk}4~5-1kF%C33mCjD;2QxMm3I>w7iS76<tRQ@*!#?-p2(t><cqK{n*j6Pe#vk+>8k
zPibegJ?TsP1<cV)^#Hgl*O}l{=`gRTswzNb>(&*=m2kr>O2=!@2m#j~tF)^>U<cXb
zGx;!UYzHBR5iq{4P&2c#$;|vufW2P;XEBdrvL+f1!wm1pI96t~YWmm5!WR1w5OOQ{
zP<R)_GXu}9I|B^sOomZZ74$P)R@^LN;o2nk*~irkcP`M}3Vog)`k&~gX_Sk>X4@;n
zGt29MVeX357y{LR1^_vLb0Uk4w9nY~n!n?$Xza2gRbGNHp&Q~6YmO*+`1h=v#p%u(
zgnAm&X!7P{yBIyPPy$m@!P9$cwE7@e6#)x{1c9zS54#5IzTrIW9xM0O1+BJq{|piJ
z<AKPp9X`cbhx`s@%XOv*)e~tioyFkG6dsn*_-jnojInFQlmWs=y8!jg0cnR74R6Kn
zaLh<+Y9@YjUuKj00y&aPqkl&JZ>zA={s~b~;^Ub8zBXLW?CEfSzjM0$7fnaTpFSQm
z%xF-Jp<1yW8q>Rt>d?5x)}7l;l9Yv30JnQ>+8+g*k9V^FZ+w-OKyG12`2>q+JgU2^
ztEHz)UOIMlZ3wAid3upN1M|X_1%&XkHG+y`QI~HKaHa3Qeft(kH6Mw!F*SvnfM@3B
z=7I{$KL<2z7T=|XFO{y9m){%*Bz2&NtyAQmIs?TqNa`;NrEExE!KzKYRa1->$NFfe
zVnldm{{G7YV(CF81~i4t(dX+4E4vj^?lDVedupQ{JRup%BKzZvf$<k7trn=j*!Z=B
zJzJ{Tkd(h?eN!o&=R3CEKQ50ds^c;ChHxcczId?!WB3YnTuz%U#1?b^CL~r!ylK|`
zN`Oqz(RBX@qN@Qb-4Q5hm!aaw^!T78<uJE3j6BnBrqyh+(bwGCdf><G$1>}2!HZ-!
zZdZ&uYf3Z#7n?46PCTWT%5C4mcC{+Lw}0n=w4ms@RlAdd^T8-Avik6dcq{Z+`59(h
zorC=R1VN=foQwTJs{=M=7DwRG=xV=(&F2?y9i)sA5gi;ci7TsoH^p^2*!};&s#qEh
zw3#Y4wVO|oJq4062QrO61mc~*S8LmM(2+94+s(KDZsY+`bHGJ$iZ~@ZyePTLW(^o5
z571L|Y^3PD{tRnTwtr!2@TRk-7ZS=avE8ogvp#$fF$?9~RyN9G&2N0$7Mo>lWv|DC
zEH_V{<-J)h?QH%_S~5F7KlGO<I(-@r`g@)?|5Gj~`0&1K<DMfY?9?NQ*NEH};!IfO
zf5oR)2sMU_9{5K8l~(HKw*WCWRe*+>S*QWW0D?(LgMNpyAl6ZB`|<ei8ta-zZ4^_n
zR<5sZ6kz<i?|C(2=Oec4iBVkml#~Ij^3!)a<HPQIylf61BR08GP7YDgB>?WGxb2yN
zvQPOjMjaxrz2r|4eS<u@IJ%eg!%Unn;xP3Il+UI>%izgFw;9<^uLurtG@*C;wB!D`
z3zEjGr_3O+?*?DBKk;?VYo2XwJRxc^v5pDa!fLVZ%JiySyh5aBxrD<>kwY)awf#ls
zC0)Tj=8X)iyJVNme!B6BW+bV<{&}8z|68Zmix{HCOya9~Py+SP9CglJ>2h>QwB2*!
znX)<acb&f~qV&IQ{b`4F;ot4ZdMQ3ep9d5!Yo{v<kNqHQUQBgSXeXzVQO_dx`|Ikt
z=p+hUYrKf)oHsy-*?<^9#Of46T-hg0?KT2rB}zH&fiItxN45T|;SJlGMAtXIvjOQZ
z{CetlxSw0k#?^>)p$~UVP0nrb?~!G5n+;Vx`j48@0X|{<KW#Oq+kMm(C2XVl<!5%;
zwXZyrr8Pc`L&$gbH0tY^gp<uY2!T3tjmF^}39K)5B*wlg-)(IzTwh5B%Irc(%ofz+
zsNKKr-s8Y>(kSXFmy@t0$G-=-TTI}?eo}plz)yX?oFZDQEY*67?HKdJE{*3L^YgW@
zoEHokT#W58639Qy5DBt2&CS)hdm210(Law&1qzGH?O)Au>%AIwg=Xvjl+OBW&-VF-
zOH01QkkC0B>31&OLjZaHlyg!T8gD+#RQ962R<hKq7a<`h9~$}!M+`lq->v~VoF_}f
z@B@Fz=65I5$g^uo89SH_7>hc%CF0IMB=pS1Sqxn%_{d&od$iH8+(b|ZQH|xCrEtID
zzwiIvgxs%sa(_MCkG`mbSAxH@@|~aewYu56P9rEU3#TMI%pI~kc|n>@{a-Eyge}fo
za&IZct~DFQaGZ5U?vDDpgDHl-=!H{)KfhuaP5yaot;*o-8|GNeZULnhnc&7Y<BQnH
zfmv7ml}5GiwE#U~$$~%c8O2dWDa}3WNlobk`16_dB6q$5Hp76?IEgWJ{%}Xe&DU;U
z9T*--#iWONBX)2SfCIv==RaC4L<0CIR-UT2<UxLgp|T5?PgXnL<mC$g+w`>@hS=h>
z`kkB?^bGYe5&%#72d|3JZ%sL_LE@8<#AmUMi>m~f2}`1Sr=0Pb7IvOkqP>%Ey3ysA
z6^))S;4`O2Z=L^?nXHKWZ%0MY5m_tEnMpqAK%$=G;dya{aSxc(vJxV8Is(LXMCtEh
zn`&SroR6<;4@Gu#VOQx(>ucF05%@kSW4PBb_v&@&PzZc5xYwW1qb@&{L-RKk|M-%W
z%#ohG_-{XXZ^><+1#6EjbYeE%wZ@9{d;BO!1J(Hg;88b9(Ad<B8AV*W05lHRlO)yd
zONVu6j{z4ca-lnNA+x3SvqNY!mehS;U}mw(fbnGZZ&rs~XKwo3auId#-58%KXa_S#
z`~7JI`uHkgSy#8DdI!#7%KXG2qy~JscwxX$`)RV!djx(2Me!zwv58$CdTLht{6U83
z_r6yH$HPTzuenMz1h6~VsIkVaJN4zTI%7`!n?v`QFAi<u$f`x*-_cv1#=7R^ca{D6
z!h{R6n%V{rY^Dzdkef(Z!96)HYHSxz^x1rJK+$*sGMImjap9c!R+<T*w>Z{?sq216
zhmuB1*j}gL;0<cGv1*CiSaGA#N6wFpe8PD<AFh6q4h>PabB=Zxy39ErWWf53Jn*bY
z$G8Xb-}Fmiy*tF-Kay@ZySa6JiBICyPL>7n9*T!GAB{WaEW)waXf;04s+f|=Bjpe*
zX>6(jw5A}FABNl^=DWu3cU7oYK?0BX(yw)omXA2D1rh2*4497GHytRrrP59&8>Jr{
zf`d<~M_I#}_&V^}x!*f=(?(deRBc@^@>{Gi50bE~9m4iH(s>}E6lr-V^*TntqoFqT
zF4~ia^ek|VN2B^`Fc6c7b}WfralZ>E3@Ca)f&}q0bBntQEOwJ({d)+z@2-}FkKyhT
zlU4H4@emDgab1K<^$V82W9nf)K-n2*3Yo;E`x{lc3TR1xZdj))pmz)Y!4+K_?;0p)
zJROJ>J^*Mgqm0vvB-1YPmOVM#V$i5&4dz;!g+f130PGpe9}4w`Xv=Q*&-Cp?scE~V
zxp&oK@5&0;K3n@EH&K#IxHB7=B5T^88>nvG7dF<xf|}yWnCc!{uU6{I5;jV&|6cgG
zuS`kjcA@XuD<831++A5N+e9<^&A%xX<{I)m!hb|2>TzV2k`8jt?GJYzTa8+KC2oA?
zz(3lGev|E!hf|V&d~@1$KrYF>t4$;k7RDB`bm=xN9P2u7|L0k&lln`sYG)sI-isPi
z+hDRzy~;{EHjhgiJ>@za7)N@ngAk5_40u+Xfdzz8a)OuzYL8fuNCbRbv%x3_8nIa|
z<3A*U4X@?%-Z{-nA5>lv?z*yJ1FFdZyQ}G^!@;cr^emm9`t+OcPJnQbyL*i@mBRf2
zRQSKRS<^XhX$!gzmF1@U2ZD?9XZ{EC#)jw1Oq3fbqV>1HPrJp6QeP-K7ox@!Ec?gL
zhC<!F&s4#XOR8(zoo6}4XgIYODX>b%VM2f>1h_XyU&*OT*4lAAjgzl5hnw!7+a<PV
zm2bbM*h8Cqhngoiko3effp*@q%<j>f2N}GrO)E6<c`s1m7YJ7iiCoDr#Gg-)6Q*W*
zyW35xh(zZ>TPQF7<Hl~6_rj%lD1LMH!3HO`y6c087N{8dn!Fmv;lDfVQsG{drT+CV
zoq{tvmTJthET%jTkuwsIf{$=){tK5+DoCI*Co?R>3OZ(VeEWpQ+UUZ3XVabiZ&@^+
z@#7;*ENzleS05YsBR>fI!%_Lzc)pER;jILwBvEUh#KZ*UjQHjrIPjNymnvt)b@QA^
zKS23@CLd$phki{WL{d$|aqy-5Y~5Vm8N58>3-j2!ke}qUrmjKd8au0%OYtncd`<AV
zOT6JfNC^xiYdv01NJ>UAM&4UlcM4Wv&fgpaGH%W5<i3jktA(Vi{U-qXG4UcF7=)Vd
zaXR&ESHhL!%-k}Eo3#B?MqQ{rpNPyO#ShizO$4tzu~+gMBRHYDJY7<aC~M;n)UJzm
z*fsw|D914^%o~^6wz1Ya`Unv>Fo<-<QjcstWPQ}2-JntaW^zJ4A}c|Zed9!3!P~@n
zKNR14uU&qg(m&9;h-Wd9ydjCB(Ue!}h9~P7#o4mYPU?#~5nX?Gnl658H;!0?zt`Tb
zz~cRSR9ZC7eZDpcHbZUan!&V^lXxsLM~*MMQHg&RA03L6JL8k%+F-iuBFbP8WhvOW
zyHcacW)xITCxn*}m&_#;3;D>MYVx^VoXHCHo;koOY+7e0iKrs@G|Ir;)^tH?w|x|g
z2QUw1d*)J1>655O?z`9aYgxY%RRkQ96bI5wgKUjeoe5soknX>OMOC&(yiTEf;OF{8
z5h~L!{Dy>0Agfk>Y6^Gew>jw=se2HwfeqGP6H4e@JxC+e`e&1(ist76Xz05g*S6AS
zt)1C=UQ#Cj`Y{rYO-yt#1#}rzwO^kh4y{e4{Izs#OYiT(K{Y1;2znfUUsY`MRrOVk
zZxtq43HFB4b06_n`8`}A7bEF-(!Pfwge%X(^C8p|ojhRCtYNuvj{K{|S_AwZg+=y-
zs%kboIG6)$QUA%@x0*kF7dxNFlCwXjw)4AC|Br|T73d|;PY@g5ofj^&*jgFpb(d(S
zEiS=M{LfZH1<?r+hPy_JknldJc}<)^P1fwjQ{>?}gk(t~pQ7dfnza%#UDkBX%E5WI
zQCb;#=K{PFqYl2k_A<_vR*a$KsR!?xVM6RY+XStQ&bsD{e~lXMu5#nDs3flywDD4O
zCX|(zN3w@NR|KDzExvR1do|YYFKAV8#z3=*=bQhu-eEl*gjg@|3CjBwK=Y()fPz==
zTzi%0w-tG343mX$MAN|iY@LMR{G@$ctR+ut+`i>1>X$q|+-}z*_c~E<$Q2wRa0O)_
zmpokIgk13xV%(*ZR8&}^?8YR(jDFJ4HGOPoCA{QmCPPh8Q-B@UhtvMW1Be7O(qeqH
z`i(DEa1Se}Nklv&1&pQ>!H2q@{#ow9w4jA+d53keUMks1)*8~HbkNr#GT<N99B629
z8rXnrC-)_ChJ|GY+>+AT^E3KSF;Ajqr&m%zcm>IgB)b>-BX_Ebh?vgtV8aVR9dwHg
z`%)RFbNW2^)Qen{Kb<;W;)YuQMf-8CZwq5Lne~$x1Cla3uDV+%aT!qU=ZbhbuxH4O
zuMEOpzcZdN)OpU3Pkgp(qs%l27q~^N?HCF491E^A35khYi+8;>fbyzuu;FMc^kXQL
zdM`HsQ^&VWn?DmJtpL$1$koEX^D*IOz8;7oDB3(_dbPw_stkX&czJZZ2ywJS^|hvm
z`>)Sk@jPE^Tx{6Xi>1}Honp!@hg0E@-oJh8V9@(8)_H9#-lYmko)->&_N;I30cwoZ
zG5yJ8h`&&PR8b__<RZW_Lsm|wTpxN-9pWl3gLQ*h<c<n5c-qQBg3n(+(rRn@<(GHO
z5W+Op)r<6W1m{J5FQl!$Z(zx<lqA-1eS`Q$7yB|T+VL$So#ixYU5l=;K75^MQ?Gu!
z_2@XpVHg>J(8OMNk^<IA-$8U0t-QZjI3GfHKt46T`txbhK0;gOYed!Rq$OW5ycB+T
z%Ir35k}}S;UsznM6#K}l3YUWaHAEBCbtYt~JkzNTCeI>VP`pk{Dnf}T+6d)CF-9`T
zNlCIo28@$f%L6y7i}Sz&Sj+d|nCAvh&e;K8@+T!R=c^v?*~=krUWC<WIH#cA+|9FM
z%>G%(vu92-VSL$d-_ouB5OQAmyzaFlWHnK*t*WY;z;Bld4jPla9d0>kevg}VHuq1n
zkPtWM3#m8+4iW(*skCUw_SpGcB$YP!DaxM2CNnH=Ai|h3tESqJ8!3C`1qxYb%k3_}
z!F;bQYm%Zpnho*y`J_)mBEj8uANH^O(v%1?7bq<eEBAZ8JdhVnOX)nMH-2<ew-L3q
z^z{zZ<yVyE@BN&&=!l~G4J#`<JDd5AM0>@AmnPrDV~5Nh(Zj{N%iTijD#u6gfYxf@
z-530=6Zc=<{rk9jsV3h>a;Ze?G{6B}?hW(_S{1Jx(gBLZ)<<*hVyE8Yzknf<2sb*J
z#x~HJXhq|R(b`OI*ldlmVq#6$2)vHICGhNH`s!%qhY@=jne2Sr^)kp+G-Wv#pDdhF
z%>5HB2k<qB<PU%a&S})DVsWLUXJ9ci#d@&<aXcou&Bc=eHPk<M?vy#NYCtKsSl^?g
zAH<$N6DRtSw||+KSaTvi!fJFNRYjV|jWF1s*yY8}B~DVKKb+9O3!RY-a5aNQBp%id
z;88ki|L4$jAX0#*xhcRtsFX`p<VMEQB<+n+u}(1wTLjD^4<YbcU3SW5jW4a$GB7wA
ziZ)Btz&)uI20V+6!*%aRbaZspP>RjwZ2~^Kq$6)|jV&GRuMes<{8nWH{GA?=ombt$
zKjlY9qyAx1Vi1ewU-^#^Kqs~Q7a*h07uJ?vNAM(WUH;b6Py0e@NOgQvL$?UXxBLp&
zgrXM$_5{Nn1WI|i6l7$c&>DSm2B;I00oIOEBxuIrz4y$ze$SZFzMb0Ht3EL`_4?s{
z!*LC**=%PFW*#^L;pm0u+?tFr%}Pnq)zY~#0>S5C+%995a{@qrDc8xrHZzc?2@I2K
zp))ehrS4nr9e3cJ){ya8Ywb7mDGDh>0jd;-8Mw!hoy2CP3;{7(IiTk%uRammJ|q@h
zgg&J;6!@xMXR(ls&~9~E=L?UKRSdX9Dywm(IFa~j<<$mM-Upl2Kw-Frv<F_#q@!*4
zt&Ai3Bb2-+a_LqA%_UOw?vHixB)sBUSSI0fe6-VWC+aCKrMa0K@-*VLs`DKy#n7G6
zV&mjEsqtVvaFGpS_(ReHFXW)qfiVghn>p2~f#IYCb?VDA?GNyOKp^i6unLyyzDM_*
zWqH(#@K;i<BzyiR9KsKPLx331eFX&t5585PZZd5RB^@8Avzxhvj4DkwV!*0md|=TA
ze9Gas!YQ)8eEFi7QlM3()Brd#su~*ECEbD_yYrDzqVzkvha6A`7jQsuCV9>Lvcoth
zdMgN|q?}x^b=}qjL_P!IXpwREtE_Kz9>^{QG_q)TD}78fc57o*3ID-B70&kqeC=O;
z_J|cAI5iuS@0ppHdPmAEwm?;=0+tr+=n_B{T5~-_`u5qq?ZTB5t>?UQ114S&XsVHO
zZ*pD(P=8lgeuO0D>I~-_<ApR$+bcs1$*!qaJyy65ciY4U00H5YId#OM;8Wbx!c$}g
zAW{yn6!Jj8s-MNBxaZ_lhK#$wYbz&#Q_qh9aXN#MK;KXkhu)qKy|mu){VTCU&yrq3
z>}o=Ps{WxNg5j)Q!oN)N=i)-S&z*^|Kl$l%T0J6dDVk>t<W&D_Vhag3AzT*PH`D%Z
zyT4{sYSS`1_)k3ylpTO7gVq!H?0|bcBloG+{m*~w2$YYj`JW~E$3KD$&i7sZ!qk#I
z=cyTuIx`(dt(x6Is7nFo5+td(RA%GEIfYz(CKYlYEX-x+wdR)0(j-NgF5&`uBJvH&
zr}30I?&T!`0H$*3M)0t*F-Ev6gNGq=3;E!`15*PjvimmFpWB+Wud3ZE)rOOG9fMo)
z)YQFZ3rK7VWCMH)pL}FbEh#u|o!T@g*O0%q7aZA6Z8+2<(}^Ph=|lL`hDG^go;Hfw
zAUg4xAm1mS4*377QB{IpSZCNG&$(Zyjs8~gUm;5*YzaTLNZROr^zFAwOzSs+2_5-}
zkDZ!u|6d35zj?y;bDHIr@kks55dSJ(Z}krhWS5r@yv;*zdd7`;x}uPOCyyt-CACT0
zwb-GKC4Gl3_h<BK;1?<I5N%?iUB1v?rt#X9sNXezM_rR3&(vy0J#>q4QsSB4=DYjm
zjcK~3wa;%b#%i$X<J}LrQkZu}D?oc^3$IwYRXg{(ruv>2f#hx-Uy04lJ>ytD9-G|A
z@sg`3kra0A>VV2hej*|w@q$6AC|c7SWM|Hv6<dCDNj(W-Av7Euc(ELhTFWd3U-vEI
zQ&NWYrpfYED>ymvPESuikBsz%IHluK|9L=e`2ff*pUbT@qmQus(e}4jKfL!p3!$Hj
z?^Kv^DERRsBO`5LCw`y0ROSlApttYdl{Ge|_u60O0}XL@b+kejBsHf&E6%UA@zE9M
zF6#R~v-0v<G87VR_kI|GJjaNMi7_3_r_|EczI5r5Z($+l(CBEQWg7*7`T&61g#lO!
zItmObA5qWWaliC%gWH4DB$Y}&c6Yae{EUo^4Ro3CBnFH11F)LnladBEH#eJz2w%@3
zBqa0)z?4Z)EDQZvecs!H=4EmGcGsO(N1i~#lw@I81$EnG1cZcKMx8`3e+ia9!Hm-b
zZasWS-7o2KB*Lzo+}zywSFeUoPwQWxxE#4PRAPdcnwEB7Ny!h;y!4j(vo?PGXbL7|
z-~?Eg^tW&0Ek95Y@D_j`(*uL1u&78vSNB?mViI<lMi>CHv1*p%ILvkVzSq5nT&O+(
z6M#=ld^YBvuclOU&x6ROW1jct{&E))J^ZCSG&H0;QSZ62u>s7|DPmMpQ&U5wW`q!D
z#3Ck+H4#?2zFcJdiLA1!>U~R#j9qyZ7f48PJw0lWiorm_*|Bwz{N^=kYP1^X)g}n@
z&AK}~-;9cm?rre)rlqHEdjB2`g-=En0#wg>V5|)Rc9{`wcsus5rLPw}wpV;3A|g_g
z6B93l-SWT8@<2TA!N*~=IH}aRfj3fTzt7Dv+hg^6@4OOpVlFN&ejXnm+}J2y6(&Gi
zOp&A*`0gE}tE+3{r%xAU!zs8%BLrwupSsc+@|ac9%X)c<(kmnc)O+qX_4MGeJjiVX
z=sz@6=G~Omp(2A`KwCuC6_}2JIt6MgcM1k+n3&G%>FF(e%^|L>t>rZPLi<YC?aPYA
zM1waK`Ati4adDLU_Db;Q&-W;VT{j|U*qE5!Go(EBg8}_o=*2iXItmI2ku)<~RIbAt
z9v-fA`$;b;B{h5gHp<rCzUh^K1MGq4QBgls3MBF{c(w|BG0uu^H`n2#cXV{z%TkF0
z9hhqMt=0{GzpbeFpg+vp8|aTiyw}jt(I;nS{Bv_z$Eux{nIimhFF8D12Qq1{c%L&U
z8ylP5-@j9fiwR_8WbBg!(&w5f21?4xc#$uKgoFSZjtFH7JE^LhLdiiNSD~e?Z3c+J
zTj3`hPAu;&ktK1pRj%FGd2?C@wlKedfFA4^TW9Ciqr?3oI2yo`(*xdZ<S+2<roMj<
zfK6~+R8;4i&N<&F7l`!%IS3$?S^~}!B2x{9Syz$}F)RqB+T{1Tjj%-{pFj739iay~
z6$|4ve6YA9U%cpFAdw9td(z*p;_B|M4__gx97F`NL8GFg=&6purbk1;o29pE)lgJa
zjNZAMch{n)Kbo1H{g#`X06;pL*jt4D^Hvge|2^0(qZKwEw;-0>VTDHy+sengL?MsR
zVTd2zLyL`%0PROz+)q3tIQ$;ltWfbv3$G-Kjx%s8U#rS*ch{BmVIc}4y0_8}<D{;0
zQ@>L;G%>j#7ZpG&Hx1m7vCB?QPSbTe-w4;%)|v(f)wF6|?^^>4CIJQ(4!)?UXlj1G
z;yG&RfBp%1PAex5G@7v4J3RrP?@2*H!NRw?8dwq;T4Ih1&ynv_M70;T+^f8{mQ<$}
z7nx|~2#Sh|LN?D}Vg|#S4PjBsXAGxiV336c9yDBH!m=bGA#t6NaiQp2AfD*1`0XfK
zuY*n5l2y;&zb>Jnp+%H&n2*OX{jC4J#6m3>#Sgs<Zv&<JdAX=&$S>?FFVHCa2f1l?
z>MV5t{?6JsVH7R0m`e^LsKnTz`$rJRj&8j(5GL@r6p)r+9`Lvz>8FK1Udmjt>y46?
zRbEh7*kvv*E`6}K^>;U>B%^3AUB3Kwq3vX09jj_;vPeowHZSz1&2k}!aOe&j8=J^8
zUh29#NkM?6aeaOLy_~N<CbqY?Np4z_1mK^;#+C$f`tLVoWo6G`VNC<38URv>p~UM|
z-8QFNLO%8+B_+M-HGMs}e0kX_JtG4u^k`@<$G)$rsWE5{x<o%C<oWvsoRzqMG2C(e
zn|ANq>S`Dqu_wV7@D8$Lzig6MIM~~BkFG5&1i`V8el<}eb09ejcyD9V($a>V4aWJC
z+g5wV%B{QJFo8&k5IZ7)d45=G8ma%Pi&`Ds;o;rPK0N@O9jbO>*<KwD1d(9?=IcYq
zo=c^2xc#z`VnB?usIrozx3@R!+f%D%3WDAbySfR+1GbdXG&6mcpURw8hAyG*>FD69
zsi_fNxiZ~C{7B`o59!|T-{`1(ojT@0;GBJ}lr_1yX!d1dbd-F;Yd<g5d8!E$)ws1h
zc!`+Uq!<oFm^fG%`HvdH0jle!bDZ=sxpBzCumNri{5dr>^?7u(KbJwP?)Ub{yLER{
zkDDk4EJn-Opk-Z766iZTn&Gbg&$&;Pwo~W?1O#MBwb#sX^F#tMF)?q;%Qu7iCHhE(
ze@TR0QSv5_!=uNcCP7_gq=V17*&l+=4C_u3N*u4)l**lohb5nVYro;($4B}ypqNKB
z!crj@!9u;u%5pRGFgRLXQ2`A<QeiWZ?y0=oKf<$>9;!yo=lpc^Az!^q#AriNPGXjm
zF7B}rCrP2@FgJyeGY$yehgJ4(<v<p(`U<E(Qm4#(cM_M^fom<C$aWXfA__hComq8i
zNl@_0dlMYq4KBml!*p?R=}O>TE-D9&y`c9hz*3Kbl5!LDZoE~E!+iKyTYE>xdGF)H
zis2*gqrJ@GLyWDvJQuLB-AASp76$UjeST*WZZGso^**?NA1&{J#da4}<lBcH8Obja
z6XDAzji0y%!qio>R2GJcXuOUOT|o3VelI7RiM|!KPiG!7PZtRG%AHtt8FO=H5cfrp
zpE5L(kPmuS>CUg(@1H4VKH!my=K2Ywzifw5e>I;S6F%@x?gcrDh5{JDCmMOiU~HTj
zgrN%y3*S>#_J`KuOGz6Z*6qzD+J71!r_{*1qL#14wV0BaXraWTh$7?oYGV!B>@3RA
z$OtaAXcd({K8wi3C3qx3r=@^{gU6<28ZwCwa%4acRy!{G0dFq=W$x~_TjBAD+P$cH
zo4G0cy>RM`p{*?^px{j`XgutqE|cz&!X;ORg(|-H!hP<!#&wJCH~#(@O&>mdIwE1X
z1nbf&ATaPlOA97UgLDS}`QfHeGG1&{A)Ff*90jYq_P4EQ>FC~fcjLm0+K*RW+XQU7
z&B^x|RXQpv0bmm*t~|<n@L_nER8CF~=7!5`aM96N>~q)FKIF#Q{hU*f@dS)nu=QGs
z4BGBJe8@Nm%MG833eUsCBR@&zm<4&vVz79mrO%XVu$5blW|)qaTam->aDq*HM}8b0
z94w)&ounn^Fo)BfB8KPf?Y;Mr_P+8%58SW{-OP*(M05d{I>*&25;2F{Y>{R28*td;
z^0;88pl}g16B-KSDWXY{85_z_AkWpV8CbasMiLsT#H6Pc&Z4thTqi=!rp;RKRw#*Y
zXeiDremit{=5shW($LJ8zCOF1HEn4bnfG76s;-Hd_cJ2P+@vSDr9F~n6H=nyfX0Rs
zIpx9Oq1{qHQ_B%01qD9XlJPty`qRz98$W;g)5?Kq_a1nupC=|h!=)6Q1WPo6!bDx2
z)X(34YI@oawsfZx=(b$-5-c9$u0}-v5)k;oO93f~0V!b*iw)1i?0>1XA?u}qWsSNf
zAVBKo=7#dI7|ieBogsCA{6=YM>GngDt~g&p21Ue>d-CK7Xe%M$wq}6!^#;Zq$88j%
zf9&Pu6%-UC4$|~i#MLk#AC!uU$~87Nz*lx`gw(8*4Q&Rc;%y2bG{4Nm!~|vxvcbx2
zCajC|H1Zw@zwm)K+B)J8mz*4)o=)rP<^~2OW_WlwBMXZZ81rl2>MnpW0|rP-eVmlJ
zS*}Q+!g~sW`%=iRwzRawCntY4UgJVTM~4Z9?~}SZ5n&M#&<&ixIWFU^si|oR1R8K!
zdJp2L2)rwft0R|TD?Ld}Ozb#Ic+WfjD3V6D(4Y<1(AfC8m>3l<F0LzpT)%#hbBTc9
zhf3Sz{CuEI{T>#m;oEoa`0Eq|(#nAvxCHMy#e72g?vh)(ijK}zB_$=IGT2`&R?HU}
zs8yLSZ?BC%gF}#^q2VMLI*6QrQ^!-VT+$%JjlQ7B{44YAr~v=7c>17p;jNGeIx@oa
z^ny{INhSuXuduX~Nc=F*U~_ZRc)zl;l98SoR4(%TzP`SU92~L|5@_sNm8iT27eGx`
z*3{6@(w<pwIIf>|wnW}(+la#uQ5W?kUPGDy{2q6Fn9o0-UkB3(&rkm&ZFv7x0PXeD
z&$DS-TClVJd?2n*9Sn1O@@Y@yKQH&MyRNjz-9EkNdNHG-B*E!Tkur7!QKvTrv4%wd
czjSqkHeoFy(k<w9k_j&-qbQv(sq6PY0J4(VBme*a

literal 51350
zcmd431yI#p+b+HlK}u4(Tj@|jO6d|LHYvF&k?sbOmJ}%^q@=qWX-NT*2I=nZ|Jv&F
zywCf7=ljl?`Old-%;26ad#||Ho!51*U+{AUsk>+-Xb=eGu8g#}G6aG|4S^tBqacI-
zf#vtWzze^FgocBPwTXkXft@krnSq0ig|&mlOG7FrV>|no)>hnX{A^q-RAvqiHujI%
z*)9M60GqX)DLb_S;y4%t)ka#=9s<EKfd3+7i)6ioK)MiR#Gk6VByLW-d)!-^=Di-U
z3Xk-|#=AwNU>DSZ$a~AzMI|c8_fz(Ft%6FX%#exe?KHJ==%jE&!=P}8XL%KV&e2OD
z=qm|qe*AP*IfSL><>IJHRFWJlizv6>O<!HT#^ZIbFC6E8!F}M`r0dzR&NZGip76?P
znR|Al)??0w4}<3KpXk#qU4*~i+3^NMivRUv#PomfO|E>Mdb8CXtV$ZPN_W=YxdVju
zcBH}?Nt&3FySU>KTajH}7J=f&Faf&K6z$2>N*x+OO3{E;o00yAPV`CX46e$jG#4f0
z|M=*Eoq&<E#os&O!WWbN|Mv#^d7AmjA6aDN>KEgsKJVHdp$a@W^Ep0ta&RD%;<GrJ
zpj$b)h>9}sFv`9lud<#EXH0gvrCntuVQR|Q-P2>c5XNhGez?}Mv$qtdXSg@tuF>Qr
z)Ob3Nez-Y~_vQ{(M^)36<qM~A<F2l*ptFz8vz~-+30Pa2Zmz6PJ%kf&JBX{dDknJ%
zT5dOd6#cW9?|p;mfwreM=#K>=CL5R*aRV{W$nnffO-yLniwNBgySTT7jxGlS?viqt
z_LCWzn!-9liMx7wT0cB`#bG@oxH;QIS!Oz*a7N+i=y>|0s?q=RX9oF1KAdPqMM-UK
z(iyi6*4`8mN>W~{HeV$4+N-{yOgY<=Y3GHEXoZ%1%`ymtSuMZ$8Sk{;?Bz0VJdfpv
z<UZ;@!d|yKTs3&ednYn!8nMCs<SbXZ+w{ads@2%&6dQv{7de>2_X|}x*-J5dU=|qY
zG@f(CFL2C&wAgAEap5Z~s^3RrVq$_o3JMCU*K_lp>*+;|<f*6U=d-L`T+S0VHOsL#
z_@!JQW>wDxkk;y2zkK-x$Tpn4@$?oH3f0*eo|+1Mpz@iDmKL$7>H6{c(Z(IfSd+I%
zVf8#3q<Ny^Ra8m}dl^5<ZLJvgHzPeOh_bS1FB-zcnP8-JrIeG@QCDM_!JC~<_t~+>
z?lg%YN=SJAJmB=8gBh8e500;e%68fCg?4lxqWJsXf3TKf!@qS&BkE@O;VvnU{?1H8
z_2H0Q-7RUz{rmTur)um62M1r%%f)7Rq}0|vhBRl$MAtUV<f*fVQV5YizKxBI9i8Vw
z^S%uY`EC?7H8T6$_VKzppF7_ul7hi#e-!F4*YW>lk2=0z6dar=qz01DFsQzkc?eUw
z9rucvuGrpwlN3;&<$zN2a+m?q+!l-nyME@rb#*eUcqY8Gv;^^S-1y<>-jJDz1lP<I
zVNVW^Q=6QDk=VZuZAgr?jD1EBUtBlsnF8!PU+fS}bbF?O6vE-M`!n8qV>k=T?RYa-
z$o&}XW5@gEB0D#?1*pdEcHPeWcNN7g5<D(mUc#oUE$gU{ADItpCSK8`koNUqJu0`f
zKj6X53AOx(K~qkqCKfd@dKoM_GEVpm#GPJJ+v`SQQcq4yKoVEI$Q8Z3gtfG_RT>p#
zWKeaz&WtY?8AZO#-dsD^Uu@Swe5R&eys+<k#J5#G>?fj5dPjNDJ{_O%?UA-K7rO;*
zRJR-95^UHs@Y}bE@FCw9p#n>EMyIY%#f<2$3I6sMh7*&MwyTkp#KgizCbG^{^s?PD
zovQa2-^}hvDJkhzi9T&`=nJ>>16$VLo~l_LFJshonL|=lRsB>^f!`C$+G_1}Kw5t?
z<L)x&PbkmsE$s5G0rBA6gVD=qsvam4@De8{6?3mgMMT9W_X<bl4$5rRmuysH<Ho9;
z#AljkMgQ_&AQW}l`iWBCeq+!nPb1p@Gb8vVgo+4*_8wYl$sR{(>En5}^dvoT>A=XG
zTudOO=NcOE`<~l1D-<4k?SvY2POQMgAVT04-p4x|`h?0y<a#f{<)Dw3(|)-(et?yU
zDdbF^%GS|@YmVcEH|}u@IFW2~Q^-Nw))R+=S7rj?b#YtGt=x)IODM=u;%Yyw|78RL
zvp5NBfg<(9la-cV+;=?nPjXSX*Qcm;5FZ<LVMF#h^#pBxLc+=Tah<0+q%AEi$4ZUS
zf$RB!|3s2R#7hwJskT;Y)xKg>*^><?3hJB6L6I|okM~4U>(q(Wms)oY8wdPEO<Z3z
zc?SpMbpmgRZhLvU_uc!+y+8*P*M9yL2xP{6ry<^ZSa&#9CL?`89Mu#CgH3shIILnr
zs00MG*X=vQNaGIegM;!*3mR**2{&CDErbFrkNOA-;G=`_>uIGh7q+TKTUHKIGc$>I
z8ZW~8UWqHvlZz_Eb08qz!ED=K>ZyY=RaREc=VT>|s;LnGe-TnRN=icVTw8mx;KE5s
z2}gl{=^k9>r#*VtLt9tcT3Wk-B9{owqxew}o3He7pFVwp42awa9`DS~9-UubUF=;R
z45Vjgqo{nAkD4Z<p;5W5d^@tV=l7Z}Zi^XM6uxR%Uq=Qn%B5M~wXLu2N<~n#kEna!
z@oJ*%iDR#DkLgOy==AID?QMI5B^<<Wzx=ayqp&rUm^(5qF7VN-AD<c<DGpW!I(-lj
zYh(4QZKz{eG=XUn=>N#q)G3+;l7mMOn_173IiMZl5)w#ST3XMcP=B#NOoR3BIea_y
z2eq;6EG%unVMNsJG?J?8y3&7EOu>X`lo%p?`0!zO3>M)SMk*t2RQ2w1^E<i>i_|Zd
zw5<%qYfgvO88VdAm)TV-!#dgZ8t)Mk6IXB7?ih>~l32`K3IkCD0*{8s$NBNpI8G-t
zEsdsrU-r^xKY+CGsg4f$j0^11{=R|{@0<;hbz=<%_`O$AQGtRiz-iR={Dtch6gbqL
zx~nVh0hX4s0k)2X2oe9Qi<7w#^_x&3cc=8Ud5p{BD#i4Ig1f-oGx1nxMAX(cm|0ng
z8W>oIk_%v#na+lmmLhO&eE<I4PvY(M9dP)V;S@r?Dhk8_J6<OYWWrMcH`hCQ^I0NS
z{GSz@@+W6EC!lXuk}nV|Ehl}Kmrd>w#_7+u9dNoI_uXgNO!{#$H9j7!u6M<)R_KA}
z=;$656BE3@KfJqTtrr-KH?UJ_asOV+M{Bm$Qsbhzg8`Aw5?Cj&+8`WSh4x3IF9HYC
zJDpfB`UR}PF7!IKr&H#-qFV3YUp*Q*xqSA*=8ON!f-)AJGFXcHc8v?rx4qMa2v~av
z{_5tYxT`DwHqd}V8;%&6Xok7WINcWR0l_zYA9)wR0ZKVJ@c`=!n6z#pAJuiY?45n#
zb+&Y$iK!(`;_dFlt0DwQzu<xVl-owZ^es6Wnz}G1X7QI^JecL=ihOKFv%X}ZOmad|
zgugVjMh@B+EW?uisGPjh!=It#a<fcvZ^zp^2o>)dk1<I#^yTnp*unBM;A)IduTQKI
zAdAb(^S<azC3Z`89;b6nHa|3P2DgOF&7IOJoe0_Lchjs87TLXBDM4ThLqJ5HOMCm7
zhM5_Cr>O}COX#qv#QntdbPmg#tW21_;gGD-;tYbvsL;Z{l8D}PBYtOgx=y4Ot_S0$
z5$$Iyijol&HDhI_yztSyuMa3sTPc%w(4Hau?24iV!&t*5JD*=BIWKYzdx%MPiraMB
zuE=RMRb$)q_GCso@D4>ap>PTom_l^6(eu~j8+v+QI>JbI4~K8C8r+VCj)VeR4W_(r
zJV5Aqj6ueSQfA_bzO^N__e0yeRp?~uHRY8VMdQ`hMs2M3dd}>8JK>EVP`2vTw4Bv(
zZmc_)5A`pOz31Lw@i_WN%Ei`)NKtyCw71jq-CUwS*BB$cgN6KD=gRu>YG;R!*6+4Y
z6s^?!Nz;vI_Y#HMDz)I@H!;-Ng`4Zy8|I^$l@xE`evzBY@94NV<M&&4T6JPt7j!ku
zw&Mjch`mz$UrGEjODFVz7MF5!^&w+|MxD1Zts$08df#ew6_ec3ep(D=$g;dR<xtCa
zLFAo2d{c;Rv;KWeqsES3tw@&`Pqa|CVLs2;#G&E1gR}^?H8Bz|e8n~8c`^{0;7XIc
zzPj4%c`_X)a&zV?pTLEmm83Sf)d07Vtdwh7pmsA`N7P~pUxqUCzU8T(&_u9m3pYo2
zdyrnAcA9c{Uwi5lHSM-g0zqfR^B>5<$F0?ET71{DyFfWha3J)Mmv_$lX6FuEFijWJ
z+|#%EDqg8C5H_6>C%Y~`=>6#ITw27P3eB5otJ^7T%~nd^8-v}v0huAB`Dk?3kKewq
zGg?tNJQ$DB5$eDOoDn^}=WeISHE~T%&GbxO=F*1iof($}M<Zk7xtpsdLM2rP<z61m
zXKwPKR=`!!)b*X!5h2M`(kZ+kSiFB=6deTr$zOUe!y+IcP~vukwz#x3M><;#fqW}7
zRZR50MmpW^xjOy%=9x|pa47_y=kMpYs%`@M`}+$=#Zs}akE@`o({<U}{&RXa=V)$+
ztFHxi5@+$B+<F2cj8)^A6NIs)!HnA!2p{~PmzS43B&T5XK^DeVWg(>4q)!$s)u2DI
zW?Gk0!0E-5Y!`g<bFG24J*-vE=u`;$-S2bmvy0rdZm3{b-Vra*I%0tQtem`VDum!d
zK<XQqS9FaDGH&=nrmq>8ne&)$hu^yrGBPotp{1=v=A7PMa9b_(qoYat{yAx!(ll<_
zU}L2ZrJP(!#*0TX27lsO{I?V~=YSMI6d`~3=+XR;9J`c)g2L#=@aMkf^%3S0kF%k|
z=Kh_N1z^#0a3cWr*iiV*4tNJX7Y?7i!gD9}v9Xz%a7B@6|99_%U9QhWIy?#q47aE2
z1eRx+nEIuw8?`Gve3~wo=r_mqa6sI_#z3ySX5|_a@Tk6faqRh;S}b5bBRT{&vyxwS
zjrftra`kuu6iPS{{m$@+=Xy7;y|ZK@US!XnJu@>m7X_&}ULlM|z}d?eB#en(=LwuQ
zpB)PdbIvk0D$v>MiR5B0k!CMus%$|52RmFX;XCLpi;Ny_V6y9e|8{RNI%2_n_JW74
z){F%BnK!^N9Ub3Rk-)3UXya2)BJSd<>Aa`EEDp`4n=TdvYeX9whtP*6y?lpjDj{$O
z6C1l+*j)#_<N{nIpo($wkIYkhsZ-LFERs=Cfdpb6@DM-8O$iw<FVm$WI_e47AKv!K
z&8;{+8`zPEpb&z4tJT??#X_rYW_7kskW$pf3VEDzKt5$>-`{qZaMng{+@8Ojc;ziq
z-3a+M<8|-JPDW3g{bHBF``F{K3+wiFMz?P-H||1ij`W<<yl<jQ4BJUh7bsJ{P~Mzk
zl$O~)*W^bMxtyynq&l2<)$~@k0d4Pm!@E7@=2B4CZH?c^$mnPN0mHnMNG&2`$_s{u
z!Zm#qnP1x$7dOJO#O*QCDcwqL+wWmN0Rc!+74dpEkeBg=)zNwks4WW-AQ<G2$!I0t
z!>-OxzWw+S(Az5y_jdZ<K7E;HB0AXLhd{EDwO*ShyY@#OT>%d+2|^e!cYfe)vnQJ*
zoTGmTH<grdZo5C?p$Kt(cJWc<YHfh%@xw|1ms(H&y}hV`*zErNVzmK^2g9qR9S_3U
zvwmkB6td<Y1s~zN)u>p1M)ueN8=df)0P^$T%w{b!ZUL^r_V#$!M@5z(gMO5odmR7@
zw9CB+c4}JM*4-@`KbR=)uPBIvqe%yxZBoqFH!O9GB`<)p6ivmJ3@01GH<Y;Ec_+t)
zw0qR{=tGW5*23u?%w;91;`Cy6wqr0|%4V-U&O!UL=>Txhc4)_&XBeQU4anai)bj}c
z@<uTjl?w4Sr13PZaq^X`>lrv_qwk}m?RT$*FKyg=Uup5KMF^jNi#!Tb)AeEk1q;X`
zq&ROX9XCuM%|SR>9aodUl0c|=>2f&8$f4i-#AEjh1DU`Nin13V_xa_W^ln}ubcFKX
zsdM%YIX{04<E2CT7pOy!OQz%-XqsHONEiDn{W?PiMWxqqncmN2_w9(Y*#WO(^hDQX
z>F+;&{9K4|cDUM-Abch!DT%CBp!FJ>r`Ei3;J6V|P_v$Eo!-zujwN!bKV>zl=b;qg
zdC`ciyVB@+k=odZ8Hh=~>9#di0t4$rnr7$@elZXpjwyK1n`TvHJ-&~?V|i}cyFZ*Y
zAU=@n>T<ruxVM&7!Fe+?Gn1_LB*)QJuYA?JwqPetZ@aUHy~!su6yt@%;6n&wN6O`H
zt9QF*U^<`MAqp2a_uRo*T_qzKrn7coSy@@0yQ`CvLhnU<@N`M=FHas6#G=NZb~`!%
zAEw=)6|G?fPf)k=Izc2+QsbeTvm4IR3y2V&2w&=nn=c<$xMO2@*}@6yn7caRZQeP7
zEp{ovjWNEd;d0-49#o_#aH9;Qyhew0hKtF_P(I|LXh{~TgC7*IV9L;os=XJEBUSJ)
zb%%G_ft*3H5j!dADL5xdzg7bbO5JdsIwvRX>+=ok=2}On%hgfS{IKGyJ<1zf9uktq
zwn^)vcJJ#I-rWfAdi0c?jjQLXs(yNx^Xk<%*JsshpLg^xPf>{;nxQ;?91a6H%vhx*
zdcUAO9RZt%sF`Q_vyVK8pjw}FIhl3@Xvr&^8Q0lnpqEO}Bi{1zhYO&1u^nyXbJ`@b
zYB;(e;<Le45URN4d2!qdK2+>=<<94_OI6r#T-VhvjAM0knB|-bbQz#hnyaHlB98?G
z_O35T;o-dcr!P9p<eZ1}U!WUlHeYb&k9N27!=86+&cMgcfiy;{*lElBa#iY}*2E;4
z$MP{ac}Cwa`ts@)VQR*%+ch`AyfYfUM;o*71w2=Ez(vL&3YxUOVF!u4u1k_>Uo8nS
zal$Fc(mFtDo&Jf65|2T?jkW3$`(#!`#N;el=wNqpmaQXAqN&||r=YcyQhnjQO2GVz
z$PGTQGm4wj&N@zR=@jP~alwmCbdX!G?0&iPaTjbO>f<D0W@aWl;gL@w@z$0A_}k^q
z%@xP>ew+wwBzFlutE7nuL3fYhuOuFxWw1`BOJRXzI-=P1;9{)Nlaz!MEA`VSLgc$7
zq1sk8<e=``(mIaS_6iCk9Zj!2pFQmqnE`&ihVN_<p?agx9rz;kRb9R5N#gLrp2PSj
zpYW}&fDwMm$Y>t<U%;Gp;G7qJe(}7|wjGhr;%=JFuyIv%<0t}Zz2KFU8}tAS{`PMt
z{k@0jW!y%q?jK|_Sj|=lameuA{n7s*L3(VIwtBb^sXzKbf<f|dY!~uwjQr!@e_v)4
zIlGCBj($7W+5-*&Yjfu60gu%s<E59#a^FSpbl!?A2K8U&)TIJoJ7oX~qJabiSt^`N
z^668A>jROd*8t5zHBGer{GXpMY&;jJK40G%YamH(;rx4`pf1&ajr!leG4z9@)gOr`
zk%|8H&YtZ%A~-R(-#q;|>er?FMW4~9Xi~iPAAhH(rNv7~80WLgxI4#@NB#9<%Nz#)
zEJAyGEkJZ5*-!4MNB`sLqvRHsjzj@885VX2WOy^`)S(00BQ$~N{vIgEP^`*UP?y?*
z*b4HDd;b3P0S(-LD|{M?klP{x1e4P0sftSTas_qO?!^^~zo=7DKqQ#y9zm=_1(Mjz
zaIy1Wu(Vw;h0y-DbSVme>vi6i%3w>uy3f=t23s)5p6Qw0IU)UlB!K&`@o#f+aRH?H
zL@RRm%;Slb6&pZ?-eXbswFJNX>+t@2!Tmq+mjtIG2#zN!5gJU}llzusr_#HWFePLE
zuHB1GUDiKRNh{~@qf-`#K7&N4ZT*JMWC3($3ZS#_`z5x0e{FTBb$d)4Ejt%g|GJcX
z8sM#F0LD7&ar%_Ypg;WK&vD{pMo`m5^}#`>f{7T11b^#M8X`39a>+mWi+G12ii}Yi
z0E#&ABM1KjGXkhl3DBZ(mPi_(_d4N!CYF8#^wdJ_U5e$Z-Cv{R&TWo~^N>Q-f`%?P
zGjvKp@u07&nF<OrI`;o*v&s-~x*tI@SzTtwx6D2nWs@MlfCY;elg-OT{W+McGu?7H
zbZIfA$xjwTD{JwB`?rjg5$a%g4?fw6qf#WhK9)_deR0Ct^##Cpra`~H36}`xNc~;Q
zPEPM}Ox2Ow7FvIO6N#BR_@2`55LhO_%rDDvuLB@B@7T(Ax3uI*)OukFzxLVH3U>Yg
zp7zAQZrIYjOJgv({xLe-6b+(RNzqz)ZbC8nd-D_>;26X+w5cQ@59-K%i@gR9uCzl1
zbmnBk4so=<7wrrrEiPUQ;D*qI=MS`g0S(OMW?{d@DlJjl;WyRjDUj?kk7_Ypi=UK~
zbf2BQGmLj8Xl*zP{mRqWn0|d@Bbx1?1)W`gbF4(?#&bO<i{Zs_H*-;&7?u!S<vz$q
z<1w1BoYgQpFO3Co+3Y(P4HDl6{NB()hFBLIq3=)R@9OUdgvej`nf^?@E1VuM8Awjr
z7iv6d*h#IZc(i=f(IHvC+k$={0Are_N%#jl#>U3g``yei-J<O5$Z0^KaY-));R*^K
zI0$N0<W15&@<g|@0aIp^DH$$I{1!zNT81c?P5~eYSG#8(aICntr3ntssOvc56R^Dq
z0$F3)FKT1TWg*N~@1~XV8Ul&uw`Z`kvopMI$j`?RIUkHLQUmA0^8Byd<)7A*??d-n
z!jN|`QLC|H1oxBec7O^^6r2|WIMRNlUqVXi4gdwy+>LcTkD!odsJc$(g-}pX7X`5w
zWe3J)SPp(BC}(&P{}5*DG*Hz4LM4n=&}dg$JhilBh2uwwP7^O}<6Z*l1tesE43WG?
zKwx;dIw;c_a&OLlPpGug((1n@^Lme^{Uhs~caR|%6oP!qvjDw*lPu(JIFKyFWj!vD
z=X(h_sTiAt2$5?dEWzC;Rill2Vb(wA0x2bJZA%IVSlQUV9XTt^`&-f}6Hik8#n(t1
ziByWwT)5Vd%lbzGAR40J&=k%nA|kTw$DKna>_Nn=UMLPqDtP+ep<{BqIbMA_{}!N(
z*r3Kv{rnkOQTUAR`ue14Ay(V!*S<iaxi%o|Qj9-We3-)TJK#M3(+SRI$bY_z44~Vq
zdg9luz=_3$mEExsl%S#At@;Pc@rSm|Fzw`N4Z&x&S?t0AXl6{;z(7P@@8#J+-POss
zX-b&HTLM61Sv7xt_Hp-zw)NcnTlU!NO&g-ZiL*Ty1JYpC*xb8nBexArV%hozI+9{q
z`O6+gJw4U_vs*X?I?%KA+}x0al}cW9YwX95*kW0(geFkfKo%J@_Aah;rmLzf#%Zo<
z#KoO}U-_T>C9xEf9~qYs3Z#wvWUu)(BA?x&^wb_r^mxT9!b+>@kW{fiLtuN#-slhs
z2?>Y~tyH-54J%Gm(!YDy{Z$y(Z=JNen}fZdXy1<jfm0=*0B`urN-O&@QnC_F`Jl-A
z3LOH<7Ko0wqPS7qf8&Lt_<;$b;xXv|Y<{iL=)s?xmsh82ZE4xAqA27KEa!!7JHAd4
z@56_mDl2&mPPRa0!J<?9aCs-qbN?&j>gsBct0&-VPOo;nBf!VyKk_^?Q3(pNAe6>=
z(#`f8$rjIG$_ai63W&X*Z?Fu3ivS4r1_!JI1He57eIFiW7Zr8Fj|@u3_M#eFE|%pB
zK-f86{m73$$pcIn5DTdE2-B;p`Q}!HFE-0S4d~2a(o1x>GfSC}kdU2|^94{cSRkVm
z+-*h#`FdpUXKbADLOPMjZ%cmyiz>a4z;Vq=@>@_G;sDj>Q_I(Q4P3|jxVVMFy6u+3
zwc*SexpL-Xe?r}$*jNIO%e_uGnf&<i<LAoCzQo)nKjC@=pig7oH$h!a>D_2bA5xOa
z<(&TbTAPADGlj082R1zBJVkx|B=1$0<jI-OyLY$LtpRf;KJkf1z=;NHK#&{+9C<A<
znv;cpaX~=ksw%}S>%^tQP=PP+_)|TG4`s8B0^djU<afOs^-9{glYxc?1`WUeCBvY7
zObu{SleX^{O<}5<)LfUsb?Se-eit@8=erj<cVf`nJmXY^{KsiN_(wh(B;Stxck=pw
z{${)+m<)va|0&UU4?-OOlmBg^p$r3E1?|w0+Z^8G;Z_KAkcR*b2l3@O6tDQ@-|0vj
zJZsVTXEX)m&f6b<BpxJ90Yaj`WuA3-j!)>Z@dl?wo^|D4!7nIikrV#yf5uRpC~|lN
z&i|)|1Z_5hZQ-H>wEP#5%8eQT*@8qV+Ue`IcH|q7RS^`%d{7<J`;(*GqZE@)<I6R_
z1xJRfc8ea0kb*cV1p-*l587YoMk`1b!u@)tI9=mcT6v(yzbOD5oc2x-;g!HQ<C`p`
z<c|!*CT)B5DiNWN5adR){%a0$;?eba;`+Ds)1+zS`_YA9WBBixjTC0|uz1uFfZAJI
z%TwcbBuj~BtvezjiE#RqEk%H4&y9oOFQko{v;Oz@w}B8Oz-|*AE+rtRrAI`SBfK!6
zD?jqTs{>7XSmiulwd2)c)u~rv?rmEy^LyU3LvR`)*wQ#=U)fCQ3MOqI7EG29)|qIR
zH1W;Q{Z=xib3TTQK%{>%aH1UdD&1o&)Nvne8`ky^OO#KRj2@?sU%Xv-_6G?feiIW(
z(Y{`I3V_kHhav(m31=IT_=%uuW^-CO)6b?9Ot#s>dH<keMr3NDZrFKsxIMcUHl|Cv
z8NXz^lp5VV-L_@4eEkm9>rWYVpFbdyqSdM)2W~NN8uq0s;S3nKGORA!oYxjVzM_ff
z@~<TXPL~J;OuMy%bQo@3-MvBi;4{$pl7D`NI-|3=R_;Z>Y?eHBo})lGuRvu-xYaxp
zr<*tDDgAFLabecM+%fX%66HQma+(S&rsOWX`7;SW4l}h-z=%#i!_ZbdcM7Q#x>tJB
z09a8qY@fp`<&RGJ5{bHD)Ezz6E4AvJ=v^5sPZ-$xpwanNm6Y=RZ^iEl9wVQ8qndb?
zFw~ha(3g(Xq{1xAX`*k9{8yLJI}Ow|rTlF>%6<=pKf~r4qO2J(^<7(J=-=N=uz6&s
zEh6Bcv1*;jaZnR?O#R145OVlA)ac(2#X9D3W$4`-%3#^6g!-*>r?|hQ{Id&JBr$2i
zyb0oF*anY*p1u3%D=SR<`iBqX(k!3R5B9F)s#3W9>%*vG(sBD*@wAU0^Z>Dj7v07m
z{~<o#=V4{EWboMF^S@>u1v69Awvs`a7M0=i(oB*RSU<%CEDQ^Ssyt(UxG)b%gu~Ag
zXLHBE1l@_iKikr6#UAnxMYB(Q$dj^a#H<kio*sYDGG54wDu7^x9wTBHHBX{5{e4dT
z(U9<;jBcN#3A7+}aMSb-GA*WwF|exU=Avd)giGQjSx6koXo?3}wN`(Th}TjI;Y4)r
zEYOWX&7-A%%=1nY&aJ1~3>nv#WBt*w`T*(-^i0y_AhoVcw3z&dx%t?c4=M!)Ggv^w
zN98(d-ch&|F?(<5a;B&B?-ehCN=N7ZG>4S6e_|3aHc*BLu5s-#7~9fBSzhfSiK$rS
zB^PTAxV-<Mnws_R@=5LDU{rb$&C+YTKIQ>J$?k6NFznVC(4fMPcLfJ4%_-dLc#Pv*
zg$x`YU%a3@Jp9+5aTVkjl;L05NXS|!aZE9UpWH^UiA?z7V#yhk)O-D*VneCk)uh61
z9C{T0mTG5L$KIx3d6abjkv)^nAL4-{ZYMSJyyom%Vt?FFkv__rVayW!>2i(OZk1(<
zoIk&o|BF(qDyE3OxVaPhq@zh7E)EL!ES@#4V3VpJW-)<-+&YYCc@p7aE=F}q?#7he
zXaOx4roV;R6-6Xk3ydqU<c%9G3uj<xG8%tra_?Bu*IPmf-C|KN+IP}Rtid_CsBM1j
znP=nh@~%nm_hOVmBnXkK6b;WeT^vi|iV6H09!9ChaZf_1R3pc<IQPSosh{c@lR|&h
z4@9EMqGTTxEuF%rzrtD{e|b&>>SEbi`CO}$KZ@l9Ly?iOwP-BL;h{*GhB@z#6$dCy
zZ~r;>%{J_J(mo*zd$yYj)*PjO53F+uit(uR^1aivyg~3UaPT|@<D(1Qv67B8AcVBq
z-qLC5|9cY2K^@c@&kHBPy*9kDT1RGp{VD0{hLc*?;|ymh5}sdlcgq6ono(yNq$kY)
z>aA-y2F*c+gJ}|{fX}>}G7!k!&xcqw?L^8TAOFc&WtBPCk(VcWweqonpm6v={D<fW
z%euO0yx;pKeyWaAW6+A+o4|c%e0)5f6NbFMzYq8@lHQNJSQjTdotxujDvg~djVD6o
zm6aX!Gh<^xgt{&W{{H@a8~J6mSCjuIJ!{$H(_<`Llk4yIPWgmkh6*B;<6FtUUDs4I
zA!cAJm-jco^vki;+=kD|TvYEH5`qSK^6C|HVeL8-*f8v9edInf^KgZzH(;N4cU!R*
z>SnLlz}6cJM?Zf2$Z6bt4^E*Rjp|7?d0jyu@Nw|fUm!r>eLMRH2bsd`*k=Ayyg$i=
zDM20=X-8VI-4R@!qg}LFSy*V*?8z*waMp;WAaWPD&byjYT;bE5m1d;(aM<OyK%fVB
zf&H@!I<7ZSTaiJB2B2N?R|nhF1ZKq+F0~NDB4A~Uop*F!xUFUCfaK-gy?ej<nE;df
zj$Y1awz4O$s1XeUZ?vmzXfz*TDlaep3A)dA(5MhT={0#(188~>$hP9u==$}GBHS%2
zGK|boQD7}RqmK+69TCAx=9QP*=u;<ceu@-(O-BpuOpq1CUg--a*SgVBBzlp+Ut{};
zJ0XAaII^d;0>_}<fxyZA&@<kxij!Gyz0q!q@lqtv`T=-2Zrh2MSu&p6c#49r0fy}e
zm3T+QTuYiaM6NbaX(uSWVkfKaM!e~y_}c{FZ9M<$cC}S4;sUgN?b-9#?<?j-YiBP~
z-UccSSF(=tAY(FOy`+g7KG1<~h0c<zebhW31(Dad=F!uPWXrzZ-MPZ<xoQEKxETRP
zEHRUSw^($6To+>m)I-R@T`&IXP5n#Q#+6c!{VZO+LbOS{a1=Z{JF{g>lv&!HYX#Ig
zJ)HFgJ&UUA_7%2NM;=zTB^phRjBlqpK=^u=LM|%yN<bFf&Q{jD1g+74@q}P|f$~f<
zqG0m<?yM(-Li^-Fqw6-d3d0D8xpooTgC|A0HK$9Y0>wo&4I4+-{xzp(##yk5gsZ!H
z&a$(`(e0wrLY<W??1`p9s+~^%Q6`RVj+wx_dI0?C3$$6;%`U-#OmMXj;VJEz2P3AH
zC25`$@~*UM)vB<o=KbD2aeH^umXkH0XsJk=D7P0yXF$AlMBhsDN7#I2)w#~<xO?G=
zLM9ykuHGV1=o81*^PyEs@=12eBJUeAP$2W02pKmKmUeveWl1eObPKms8nlcI%K!Iu
z6>L49WWyPvHp<Oy1vT6~g6@cjlhLMY{3n}!5BG$t0Moh5{km-=;j7=T24F@q<Qds-
ztmn;h;qSe@0phZI;W0F;Le=i#@xeV-J)NG0NZz@=OPre~tFFLHZ_~xYO2ml<p6caU
zOMcqolie@l%w@SM9+US<fulu=j|D1cVA`>S{oGb7<qIi>|Jhgk9+Nr{gZS3Zw$rzO
zrZlPY7Wm!r<_kz+*@l%uow{Pj4K=`X-UBqyv(p+%&qEvlFW}*cn!}!Ukg~sPGeKno
z!c_R&q&=bm$}xD7z0L95p<^{RyIb6{z6+3WY**t>mU)voTs4vTAhNl*EU$5H^j}%B
zXCb*M2wnen=c+X1qRICC{2JwEIG`y`s5hQ7eX^+m)YdvZUEdfoWK@xI8dg9n+aCC<
z!S`$>TM_4}YFp)$4Sa18MIkvGdw0g<`t^Lg>9o6O$l@lk3MO-t74Z-AHO$GyO~iR%
z+S4pb#xEZml*IfMY5jGrmdl?EtaXa~a?Mdpm!;nDeq=z;Vgt?_u;PxR8-Uhy0dQPo
zOpHHsVRhQZQ9uAPAPpHd8>d14Yo=UW$E8j=+>Ih3Apz=trNsN@x^VPlXEp*fwNL;o
zA)d=PWOLcYca`N!V7P-mNb&z<HCg0CMyHAnfg>9|KVYB|U^(JV(`gQyQLDnuVbS^3
zLkKhf`sSbhi1@e>09z+jx5}TepFe#~unLMd3$3!#eBnP*oRY7_1;sudmhdUna&N+$
zjlw!iZj;_8y1EpANO^O9?gnpvMnuL~)$*Ea@z*FdLM33)@X;(YX|LCVLh&)lAN##!
zZzO7OZ$}lWDlP`(lefrr<AoI*;E5OZeC&gVHv!rt=1Mv#${a*V86SMb+aO?_@YIq_
z+b(Xf<A&85bkdSAnTuC_3AJ<tg|{**OE?9)O6)MxqI9^~Cr0fn3kK#0@82my)$pVL
z2^m;NyCV_o(Ej7UZS;b7_$~6b(e_hB)@nQaLIVUiQzHi#D%v+NNiqCwFY+iqUuusR
zKhHpSS*%pHOQSBf&>#!b(VZR$ew_^M6j6Gd$kV|DKY!P_LTp?JAiskF`+4#p&V4mC
zaQB-S7X9T(`&&Xe&+W67lnBuArnhcgudqRoWFGqyqiLYr{9%DWJ_8ZjM_ht#3+7A{
z3F90*=0)jbJj4cv2=4$fBObL#c<7IcmX1J`>CbR{%NACv3DS^ZsIkeCizUs1#QI%y
ziOQHZvzW}U8QPjmD%4W_OKqvRL;Tlypf;^>p<Qk)B|j-RC9>BW4^Mc@%f!1)&mTA3
zq4BHS8PWm6Mq9+{3*-*I3nO&xTji1`iFFBm9(A%D+O<}eR{A{{-;Qn|Sd4yE=$gMC
zk`RW!2#+p{;`x4u@#1B-C!t|*?zqQ`gQ6;tm#D!`(P*A^E6K&}D!Du_fRDD6v$v4N
z(a@jlD|gxXxO{1+i0O9*=3?JOcs`LB6cc&7dB(ilvEojN*;R7<sOF;#Om1emBn@h*
zbGlqFc+n1Gxk_bH57~`EqEBFA;9v7&P^0>Ij+kvKFOv;MqZ6MsCdzjSBtBO4UELe7
zk@mET=Lq_bkLHu?2dMI1DHKH7bEo@$5Z_t&aolSoZE2P8?8ATgsGZ2*N3Sfku9_&N
zr(xQ+D2Xuwze6jAh47F|{#rZU@N>d+Mk-VQJiHk78yUF^f6>2BcA%v+z><1mI1<VI
zvh23h9j=LI-iK{sV0~Vt7rmP&wj@~!%?nQOoVD7bg{qA4?k_Tci-egvhcrERa31>P
zsJqV(>j{W5qpv*oOP|Mo9N(%iv&tv2YmGO`v8h*F;WSTi^_;bLK{&EF-;87qyw*qJ
zhbtmKsMkWGwp}c>kW|ZK`JOJkZY6&(J75VF(_KsJ-V;vh%=YZ?1Oj?=w_r=Ohu?M;
zi#MV~7Jj7LE!gic=#>%h6%DKy?6|H9i%4YeeS2&xU#iMClXXB;F;KmusLz)H?;cNG
z;yb(ppD)UlNc3H*IMb*3msUG%(dtP^O|vT#xzu%a*;>;`iDkD1B9tydFJ}1bIUe4I
zz?;r<P~X(=H~eaE)(obmBW6nK{wyZ-n4==?dvk@-+aw*;t<_uon!fOrnjAHn>Ssi#
z2LwPAR5NFw{AAAPy$oBKJN|I(>5@$(|A-NzU>rS}m$tc{W<JW&o=89D3W~DcI(>~H
zWAWpJn2W|-1|OjJhTF`OwzDA-oF_3`z%0^P%dGGG6Xj5L`)thKudAz>?8ftw-HRPA
z5pgvGdOBj+j9W|;O;~1v@7&&zFh*~snTtEdP3tuC%N3Ua7HM}(pu+a%nNx~p$qtkR
zHX<`(@03Eg`5v4syEnVI!!70w5TtqmT!)bfebSDO{0`OswR@a;>(0po=T@tG32eEN
zNF+?X%DrIE)JmVS&Oi;BIr%x^LN~KnI+H`y4{ZfWfc^tV*TyV*)F}U&0jT4nR7wPR
zh!ygDLbmsRFf$_Nr1=06k7?SUlRQmFb##Q{VZOj8rm}mlc&~m#3p<6mv{?>1jsj6n
zc6fI@a$ixlPo79dqK5X;kp$#Ac;wmXKEK;UNV7Bl90P3phdw=B0*x+`DuC{`ioD_v
zcY3qAlyY7@%Vo=jw}~vzhsn%}eXf-o(G1bF{6xU0=97a<#J^Xka#XKRxWzj^{3g&p
z_N4nnbP=Bk`UCi|8gemdu4fK$RlrU}y-khGJ{gY1<iA~Cu4NEIyc@;#Q!S!%t-LVL
zsf0^Vo&H;Ns%+$P+fF$5s5k43wK$jVnQl;hTQC;9=`JyZIz#RyLPyDfb|fC!15V@=
zoYdFy9O-srF=p~y>0mU@#|2~&(Id!)`IrMx)I+0e+>EuW?alme1pMqS2FvHF3!ge*
zizjKyF~U)C{CmG8$_elb{Ja~VLovjJEj#luV@V=a;MvgG@|p)?)oI6z9n?H1^LeEE
z!gpW9JYi38c^#JY^h2fa-Ga_<by5T$!Wjw~!mqbg`J~)Em))XfgQO+B*_p@?#T|U{
zDBIw+3GQCSDK(rcTANYT=_uT->qUDL;$}pDmkQxkBbFK|ovFG@p_}oG(&mnEs%Mqx
z){D+rL;Mpx+@o(VB_Yix1LQ&W$oRzP4cQJD*iqaR@G)zUOgo)$7<-34m@RJt90Aq3
z{?H;$rIl@vxZKz}0D2~@TF6suSGg^oV!RSM;5P9YU%5{M4FdPqiaJ8L@Cpk4Dz_5K
zZRt7cWk<Dr-iCKIo#PVD^Xk}cBsh6Pf&an4w;hRgm`~S6Z|yM%zHt1~0VhlK=BwK5
z>Ns0WYoTiIDnm~9Nve6p>lhu{XiqgMQ|VQqUbMFh6@6vrCoO>&TE(@sU-o7B6S|)>
z_rHAQOwl|rldn)KuN1)ojP<^3)8la3Cg!Zf^oHg_dzuIYnn$jlL1<vIJb)|VKy#<X
z=|05MQwU9FnvdbL4z}HvbdFYCx+t!lEb3~*QgaHEKhoq);ni66?8SIXJ81#{Y<1zX
zua&kNs%RFVimyHiTZE(36kAVTJ`JbGQ;hO*O2Tu+z|QIE5mN>3NYkG><88L`mdQh*
zNqSr-9WS+}@=;duoZKBF-w9P!l7oR<bHu21N#;)dduREhRXZv)EXd!9suW_HC7p1i
z#W!G!{2#cPvpNgy)3m*_f~Q)#Ua^DqhqQB2>xk!VN=y2$i)hkJjxh7$eR*Cz$)^?E
zQ9Uf!;Du$vHWQTl!6$WtnP!B~*(5(&7IqCFPfkZNk-?qOZcZWz;k?u>zCyBbku@$g
zzxLcvZAOwd52sa|7F)qEq74-XT)by#M?C9fI^gC(Z#ya6$5mUmcgA0IJH5DEbYr<*
zp$MnH|0VqQ%HY0Jycl;#LN(Wk`(2k)MY;3*vARfTj>B;655YQHc7lRgyaQ*aUP<#&
zj4mH7ov_|qp2#z=g8Xtk&xq2N7d;)BvZ~LrWO>b^*vcTgy#bE}%Tn1sUy(lgk=1*x
zNI*qw8?K<5I$_5Wlr_5ZrAK>xZ}@EwzgNPiRr`4vp)zdbZ!Q^#A2&W=h=|l4Ie&mJ
zNcuJ~4%?09iQr0Rt+eO1UynUyX7zXu<+7MFrV%10>qxE)7If!;JPM=Ic1m`W6m54T
zXp1-REZ|YVBpuqJuD)bp()xH0O0N((@&#(ZI`FA7?ZXLB$39L9uzDBIJ52DGfLNfH
zf8KV;`MmEu$%N1oo=GYL&qNrKzsa|JLd$s1uDvg)Qb&9JgU!Icd3m`r!wViR)rXG{
z<*I7C*KN1!9bj5O$iucwx(ld)@p!Ltp}~WkZU)sG9t_W*eup#S`AUS}$33o7p)_si
zHb2SW9qcIa4(s=>yHuq+m%=~QxtaWqU(bXXC0NawKvn8uMqr;vbYiSjN7!rL#Ce^7
zSka{ka5UB5I9hr}2ITb<<`$U%RQsWJ^MKhqO|x+ieQwtVhDZi@Nls;JX?m_?lB$e<
z6$AAf>lVoa?GZwDajyAO?YaYq*RjdIW-{~x)tyy}F^h@eAQ6jvx!QW^=ZptGpBl|x
ztq-BeKiG-hZ=jh~sie_d{^AEM3#faoBW6SdjVWxQQ_jF-zuE@gJL<s3kR;+Q@0Zs)
z(G@}O?&61`U4?$gZ_N!xJ(Tx?wb4;HMdjeWz4R(bOccGypQ*`7xe-?kg0=0b18Fr_
ztJ02GL5+PArM2|A%lQV1Pu`;*DU&mDA!O*5Vlnh?v+WS5DLglR2xW+(c{IkkMh;Ic
zFaS{yuad`j%tMZ^rBG);xF-7m_ndg7U@~M~Kqy8?Aul<o@TaAj5W{8F;A~M0-Z32f
zFA1lj&^VLnHs;-W`Ou=2Xk2#ib%XnT{>J<$oo3_Np6%cy@w&rT`KxR@$ZA+o26T0u
zL=28&{J-bC4=9JF?{A@loHsOL66vBMgQVXa>o7mpk8``<q8=wz$wC_1yQLDfE()n$
zs{dkJ)xL`AULJWkw!+G}P#R0Hh|<tW$@9bDtf}dtQ7KV^tkO?$pGN@NH#Sij4Z3Zs
zRbg0*MS*)4YM>rZJDfS&y}hqsx`a(EX>aEv+hIuc3<O_=X6&K#M4J*4a!BGxQ=ARG
zdcACwgBW}%ah2a;-+fx%@4PgD#`K2e4BuK4fBjM=#8&h*-rV<R3wIJqw5Bt1nPPIx
zxXr=z*ffvZ)Yk%_bU}3hZ1p)UgS}D~a(Q0Cr6CY^W!~4H0b9_T)|vSlnj2g7CK^$d
zivaN@FbTU`Kn$7t?dBl-myw>#XR;nmTa~)6n4lp&3uc-gx_f2ho9>dD6a$5F@qSi7
z$#_(%6Ouly$v<_dFIk?eYVwYR>gubZktoUtBFkVPnj58Hwk~mgQqO!6;}$q<@n46{
zcqiM41$hYUc=0v{wUF#id+s>*OZAc4xN4_Cw<DW_OEz(37!RY@(1^(=G<Bf#_OROH
zXhhMS9MK~`v$**gq0(;-<>?zu1!yKlxw3djFN5JEB<srEjx@SfoXb<+RESTX<1<c6
z)y4ST3m?6{Y#VVO`u*om2j1MtQbjgB^^E5>;IJYQk<QuPSL0Z4?%Jg0>YZPN#Dum#
zfqSJyAL<OLwHl2_0@8A-o^(CES(gBUx7k|dsxQwJUMkfxGnM*v4$--c;%~kQun~m}
z`I7a#As)|FW~I}<9GG@75!2~DQGBQwYVu{)eD~X|`8P70F{#Qy)y}pewt`}#Skv?%
zLDfjl-JcoV`cE3R_f4X&$YptWUOlX1q`<{t_i;4;cf~MbSL?$Z8rm|+E17?AlQGvW
zN^K<LRapRqrh%i#O~$?}Du-@ofogJyVGk(exx}XuqSP5Yn)3JWbu{$k!LEgLk!&4E
zp%3yo>Poe+Vghq_ACJ#c3t{!EVmhi=Myw++B`8+d3jzyNdI;2j!L7txB9cMC-kL^D
za48OTYqKyHw}#VE`N(hmb<Rw#a>5qi09-bcwALKoZXy?oYNW2Wu`A?a9OHsvM>>z*
z)7J{+B4-<sL;Lr@S&Q$%uhy5U1CEvD;){!*<B_x=-_=9-D@zi0;bdQeeB|di3#if#
zh352io%PdjW8N4ov$#-#iJa%qOz5$E!Tom7ezh<YWcJ$OrE0O^(g~C3a$VIM0tN;=
zcDk5xwuaZ9Mx^-s480jhOoNlDNKC(2S;luWp3=+j&d71^vb;$xj><D5sj|dM7});3
zSDJjkjQ7(6`6xq1xgqBSi$5#ISAMp7vQ`Q$5f;!mDnnzSBY100U!XO0nvbEGX_GMu
z0xGHKCF^)id^ucW7)(x4cNV<@Hw&NeeweHbgvYe{x72i*MnHH&<WP9mRagJvq*oa|
z?nKUvC*Ozhg;e4ZB=x0jlQq8#nqR|FZz}LUFQK7R;a}y6&ed5&sF|h4XZjYlSh@A<
zPVx@u7JHzHlM$>+iN9<zpG6oq>BUX<0BW{!l$$Fp88P^I|2A%v!8~V^$WnfNl(J=<
zygsE&OtC=HllJaN`K3>j7)%kVL>T@!X#RuDyxiN1av!=%TqLrwyWiR<OZ;M2l(;}!
zta7P2S)=#@?s0ctTOY8eb#2D`_)kLYx?SFy?9a!Wz&oTc*TZ_GVhlE^7CIJjUq<X@
z<2r5JRox_#8e(3^&6yJZgFjfgAGKy6(Cr>^Zdck0O;-xRbzo5kFyPc`j*8{A=Uusb
z1NCZ9{62KphjxKjF7Dp(rr-&f!FI5Uo4vS3x)!0KP|Qef1nrswQ{?~vhfR66+tZHR
zmDxx=L$!5YTOIG9Ft5Xbz%Eu$jB@1pKFq5f*Alu;=$;PjTR!IO!zGt<hGKS(&?9~J
zFiAT`d9qflt@tU;P<ojmw_+go1BAjg5BUzJGo4PMx)lS#3oV=~*^%5krY1MxW(X@F
zps)$0vtR4F7i&von`05fk2dI?0g8<B6mCY2;B^9N4%g=dVtl!;;hEsZFdT^{nq(I#
z7?7q@a#w8#>qZvO^*6Fgm%X@+Tb1RaH6aiM*fopRwa~r~{k0@V0=VoyzaMsgZGHqp
z);~UdDl24E{5H3&7LNQVIb%?Nwa?$4`1+CdkqIhqx}nUX#yP;bch64-UeB%+cqWI)
z8&}9ugGGE3MkqPH#|que59`xXR`vm1(*|z>Djr@q(?N+Q|0H9@?*s=#I8<EKe)Zd~
zhvN-Lu5>wU$;a{Jv`nd2E;Qm(!a%9aX}>3_!Z7$e0UAw8Z}=mFfu?h)aoNe@O7IHy
zHB6k*Yp#uKxwOvHTzo?1VV$ojx3`p0i$>M6Rr;QA)I7L=q(yY77mv3l_uf!mLI42V
z4sH|J9F3^MFKiC&*zf*)dU@h~!^_rqYMAKwLz4(xiUt=3t-+Nby->|#aC`pQX%o2T
zDK%gcDf4f<$^+*&M$l1(qA9ZAZR<K96Z>VoIoKLU9cq?XOk{80rg=(~(Ljw8@_@;8
zc$Z&Ej<3Rqcf@e&e*X5Nf|V7V98rtf4sZD1@o4@tS+%t!;E52Da&qVl&p!Bpp2T_3
zN0ePq&<<J^!*)DY1US7_)YJk1Wx%z31SqiaKB{QGRPFa>OTDInm@s>t=)&z`-Gn}M
zC+|s4x$1=I4=B!f{V?7+hfIM%lt2kkOCA%;ROSx${~Yh7zGd{LN4!U1?u3s#u{b1u
z@%R`l)d)WayR@tf500gRTPWbRy?^2E&heymC+Ju7_eUo*1ecWo)h2f?44V7kcbXv(
z@2d?xI91f{p&$s_GfxL2yy(ihji|Hak7>BBi6J0c#~iT89(Igc^Z!WOa51_5HLN#Z
z1D8McoN#%56Je9V;&uZyu{A}z=AbYhQcK#(a^o3)b^6c@acUo#lnPIEXjQ$6SH$oa
z)VwYxU9;aJUH>K0&FMPAI9<1wRqL(3zPEal1PIB=$pKU>(|zI!zp@LC_h-MrPADoB
z0u^`k!BRF`tz7qBe<Z9HptW0}8Ce(Qlh)yh-|zPKhR{dB)>h(@`a=W|gTrZa_PUEv
z6rwB=rvO?wI72LZegX<UA~|o4{$o-v?m!f5Vniq&`>Mmx8UHT<{*3t}z;f&1&(9z}
z;ATR{<;UZRi=C#FeNWIwh5+bS_@NFfinPNU(aNi;V5{F!Pdj)UUvF-n5{9y}vbvlt
z#le}rmKIU?vnjHY-Ew;wA`#}H_(%PH;wtW!Xlh}yG2X$oP7Jieo^IB|N~tFf>wQtt
zOhSFhXS|xcbATvoE$6<V#Wou`nt4xAgz@(0y`0?OcMp2|+7#K@s)Rg3-*00h1e+n4
z=I-1MqI7t?cA1C?HF0EgK9F?>*;r|aDoTy}i4~;z=a)CI>jK3TVfcd=0F@GbC=^a9
z5}qXB3~m4_wAc>_1;QV+lKO2l1`B?9|K@VwrtL1F$n_}<-eEVbdja2CAf*=^qv!fK
z)V?x*p<p=~I@OVzv}aADf)x3od2XTGV}&p_?x*iu``EcFH_w)38zs+odL7-mE;4~^
z=b@!sz=a*2FK$8jZ0#M6eMF5Lv53>~3N%WZ0N+sQH4_TPxc{}MV;r&8dEjr#@ax^H
zr076uZn2vXNea2BjnsxLyps~rt|`IK=A-W^5{Oe4zJ5Ji0JGLkyd!S%{~&HDGX4Cb
zWgqv_ZF$Xw?#mmlEov!aSBq~sLucdiYKfCy`En)<a%b)8Tr!2Cc;nC9rNs>a!wX19
zrhg+H%`Bhk?!g~_qR$Zo9_b=@witc-Rnf~A^yrd-hU(LUl$+4mt8M4%qaWJfini?H
z;-bUVG+@$gfwscBBB{H&yG5TpyPNE>F9YuAd3Ul_P5H*@d4Vha#9SW{A@|wBn^>(3
zzw?0ZSHVgv6|Ei4&BdAf50o|pQq(5UJ1@PcBv4QxotM`c8|>%gXOPSNeeQ2n<#D~a
zOt7)9hJ;HdJ3COytycEgvDcn`TRKHY?7i&+>;mM&{hPB#6CiG_jxej6jXTK86^k_3
zBr6R9=&LPOZm{ry=S{xQ{TGfDilG0@V`AbpYU`np&Fx;xz~Bk5$AxSUnt2DveF2-=
za=o0+=WxoW&^_?93B)JoZW&ZW66XE^fI@#17Vr!B;q;z>PLGm%O{glb^jh~`5qZdU
z?Bvs!4RRXVz1sI(Ub<F+u~?1SP$A?uPhU7sJ5HMnUl-k+vwIwmo5JZ_aQDq0NVI-q
zc6lIWcFVJ0_`-rks~m-Q$_A0ga>B1_#tj|xaF!gNlL?N66w3wL?wu)+O-WiV+;RU{
zt3%bj{+mv%t^NGr%1@B-y$4xo*V4O!rd4N$1J^g4m3ob^x;0GJF5GqGENAbx*%QP;
z+6ZMuHRSdwv%Y!*f(_a+-^RSoT&^xw+JwS;wWQJ~slIaN>Ij5|;7e5KJtW?zpha5>
zEVgkIAXADbFPjbvoWNzXK0d24H>LV4S_bd^gJMQ#C%ohtx34qb*uf8;NZquq8BwjC
zq2>x1_QndHYW_{iDpMPQhp|BD@|^&=EoNY_U*b%Y2b?f7?7E?}6c=<<w}A`o-&y@a
zJHg#wz_Sy;CBUj(xr#>JYEW&y(h2*{^I0Icn>;%3%g%vJ(OZ1($?j0r7>g^3rgTuQ
z@|{;7Tqs9qes=bj8ZsFKHEuvhI{E$eD1T62fTEC)LT0eyV6f_yt=D%AZ$ReuHgRpl
znW@dH)&up3Qreo3QB6Xvr(?g`vzFU09iC9seHmzyoDv<j;aU||cKdDeBvi+nJ=h}f
z%X5uU>zbJS+8OH7cj{hP!K%wkPWSOeF^RcuLyAoYD8NO>gz4+8-)+w*fZ|Fx6oNnX
z23%sC2j?wbq+2o_S3Vj}F2GQ(04U2}?awHzis!)!Y4eEK<H<wB86qR%$Wgo)ZiqBb
zENCE62?`AlwX-y%xy<JMACL$zh$=stN^J`@A61~XZw!s?KU49Orb@(MB#MG{oQ<#H
z3GsVgO?N$rZjASAK#cds1YNYs{;Izof}#&PX<T+1PC!?3sMXCepm!Zvqr2h#!hl^h
z94*x0TL|R_Z7+p7jBMCF-Q9ja*1(N(LWq8|4}xe<v{xE$lorGl6m;?=y7?EPvdaMm
zI$K}L5!1v86W}dMhDP2F4gtkAg%8$_T`Vj60R;_c;jvxx6>)<QNf(-ohk4E_1rgHK
zV#n`lTvfLio|||Mp=#u#j2WAFgm*qOD1n9wi}WB%=2kFf-PYBmIVZLJZteQGw{`~M
zG!mfM^%6{ei5v#EkTJ=E!1YS_<!TD}bDk1cldnJ$L=7GTq5i`5|6}Ye!=mcKzHby2
zMUd{4R60}|gCV6;lmQVW1cq(_Q9)W#8l+(;X&6#!DCvfwJEbLk*4FE~>$soief`20
zkG<DkYtP#2JkS66`%91P;^X6+Sy@Sg=7I{u=!l*@{uds204OdR?Jl&#hd$%nqHO^5
zC-z_G7YKOn!{Y@KsPL|<tBV;n{U17Sw|V)H4JBicA^m;dJbP70yazEEC~a$!HcUb&
zZD2fnpROf*^Az>NDRHB**D6YfNhpl!ViaMs>S-ccvLYjpI;UyuL4WcBKg98h+KE=f
zM&$WA8I#awB<4y-!RM)WEgkP9v>5Rk1{Iij1$NK4NGNlLlS&T+>_ilj2i!hWf<^p!
zn;jHQKWknGGH`z!hPQ-($n)KC1pW!=wHbMN34n(Dv4@8Qw3FmB+5Y!pvtzBK+rHVP
z!+??t*m?lVM^Q0JoC<8@F6;Rfpym1Tq%E3Gcrj7~uqVKO*a4@Fmp~A(GF|@=RJYYM
zG(LEp%`-r4Co|qSd}h6j*mbuQq^te)zL{jLVhp9Nujr4fC+|<cuGTT9hy|e|d^VE|
z<COPuL@8Y^hN&?-KqKtHTzuRcN89sq!v&31fQrS)^KW$^H32tVK#hM;n7s04y&N&}
zy>hwCcs-5%Wl@^@8|0(WJOyTjWHUm|5r@HVI3Hx}p3f{^)nAt&4wkw?NEAjP-xC7S
zivTObpc&9yLdZC^zk-7wAXR~m$Z9^16NlL&@M62G0)ZK%=>mFt@1A8TK(6sT?lhQ7
z4dhuX-}ry3;N?Vau~Ov%84_5y>L=00{W*6CYl+PGZ{sN)HTHHP#I)rOj4zh<t{JIr
z(`Q;nt7+Yl(MsqjP+15*^hq!;3&e#B&R<;z6-gWMn75i{oQTU2!QLFjl5UsDt5I2O
zxoiSy{eD5Wi7BI&OpX3zaM1;-E$iOV0h7b-F!E2=8JU=P!*AWb^m3ss3~D_{wyXL?
z?{*zPPE;GclJ8q+SKzk8cu*^;F)zb6w4R4Dm+Fa<U1bu&1L^<`-_Un&Lyen#QZ%eH
zr7u70+gf#NqZh1oH%?hKlO6G*f!iXFDD{E%frnDxvQ1Pt5e%2)>N*JQnsrfPCDxZU
z{vE873M&<pcOMz^sq?9a-#=qSPWHRQ2$DYd`?Uo+_=Li=HA(#@`Sb))T#NVwj0`NU
z$BnAxVx@iX4P%o&NMtr*lKg?-sO*kV?sjxO`rE;ti6ZCb>rs?&816irioZKs*9yLk
zk}mw5^v(yPA+L>W$W9Yv*_U)WcXAW?sUADv{&}Uvo)7#Gh@|BDTaW?oHHGj%b#4A&
z^AwLjs`jm6_R&&rHjk442_uHzm9kjyJX3oxT`<>r=G*C$H&n<V=hw}`X(nZkwd>^8
z9>&<@QK&3rFFd)K<z^5Npxvnblvtmrk6)v?JUGR?s=7+62*ne=q3Q8jWLI+#lwH^V
zy-6F7lYa<z@Q@Z~&M<pexcEAvR142mlWLm-gX9#PKqWaoEteFy6v%<m*jy_pd=+mS
z0P_yh@D!`1bP03Q6u|+pDpbwQfS$rw2+!nWihdp6;KVtlAHF6Gu}i{D;%a%nlwNAS
z?-uDn+mlrtp>Nt=M}6xhAdz1kEKLPTg}dor{s=C|HR6$hP%U28X}!fJ&Oa0@);hY%
z3rsQU`JWXVUO68PmL=0RK$$Fkq3Y^71*=vi!|Z4;G5`H<r+*&szJV~UvLttQ=he&k
zHtRw&dzV;Q0YkA>ZgsMa^<=_D2&rGm7nyiRYHx6exw?@cEdFiOdo10YI%X>;%aVz&
zZEnxb;T>K3cvvd>j^t;a$>z5eK^_#;RU!)hDUE-ra13)SdF8Qjy>WO;{9Q74q0Alm
zi52ipWZ1W6l=1Y{`*4&|u_t3k?5tU{vo4icsOuu!C?BuA`VVm9lTLw;4kO*47lyGX
z&2kWzYuya*(6C7Rf|vamEAqzWeFeufD@__j2fTnQ&tyIdr><kS;f(GyJ`{WcK8yVY
zwsY$F6J=?geC94ix!n>1X!(UEd<murL(|@*2PB^r46~_fPA24ccH+R<4btV=TZl#8
zxIIP}FRtXUq|X~dM}`@yD_Ffl&Km2lxBiM<fXctkvO!z%SvU`;FS8tZIK`65bIGMw
z#RsuK2j!NzymZ(dGt#vZz&XD7Bcyz*Y|Eus@IB2K+#t$UK`XYjT@gX&95xHdVZuB?
z(xRlsh9st7CB7|%)%ETNVlc~LYYLq2v6y3A(-JvY>YW^7drv9J=F*=h$M?{1>506E
zOAa<lOsTw`-nw#_wVPMTQ5fH6Y<fk=j_q|{`O8D$4CKcY7IZ#l8OrtK0kwj7ppf@2
z>^(8F_0*4Bmo?dl!wZoJLN{LKC$wP)$9rGgQjX$)kR0men=m-%TeUMOeHfKnqNy*$
z++J#tW~xqZbyMbAGRR!{_TOL{3Qm<^hcXv;_<chcbZc%5vTLcnTKG{t_V`@~?8z=T
zfURJdITyJwU^$r92g1{l{QZ^Rr7gYa*#-)NljL3h_L^vf+@Qjk1Z};~RiIROH59xd
z0^v}M@gUK<F~!uCIH~G(l}ykku_z#;^GGDv?3a_gw0Xam5Jxi+JXyc0J=x0qG-|V_
z8rDtZ$?$EaAGe9K^FM^<eO8(OtDu1y)HqQiQVSq4B+`rf+|kJ4PQI4Vo6~2R%U8gX
z5V5v``RZI3@`eul>v5nOdkOp@#G?|Fh;CE503CE0AFv9E@Tb}Ed0RoV#b=Q(pkJ4A
zTtd~sLp@j{XH%!J;vuh`LkN+G>={%y5-Iz9cRfSt3QNBUOo~I-t+Cf3#<9*>pl=Nb
zIJ-KmpwilhZ(<Kzzc`UlS_iQQYdww`DzS=_sH|JDtk;htdiF)Jq7SH`_T`meBg>gP
zA3n12spp)B?WiXjZ6p!t8NYo|Qa$thfX+rB>X$K+Mz;zoju_*CpZDSZ{LlZ+1Tg#P
zB4nn0%}{%qk&Rl<z{vO@L9X(RBbLSDa^}Rf{7D^|!p|#57S5;4^Rc!G=~C8WlR&If
zRcNVFH3?KJKK9orR`nkW)?*KK-{#PTW8R%=zfG{K!pTbZy_<FT9sKw;BtPnkn$j{P
zuryex|AiFx{D}rqUQ<0mSuD%itzSZ1tA5XyYfT8^VC(dk@Shei8cptWK_iciH(ti#
zWIg<D6DekLPzCs5b){YvpGu2I3UOcPaZax6E1>N|c@?^Pig}Nu|0m&9@p?PxGm?{-
zFQM9qvC_yqjUAf)q(zL8dt+3?U72?o=;I@+3`tiXtnD8ZrJaX~OoA2Kd_K`X<qx{P
z@91c)WO^808;k8fa7YI70<b2jQ1j4Oa|jKrkf4B<`0T>c^*+<GrRuD&T3M)a*}-iK
z*4z!d0TCIN^Z?_1sWgWwbAy=2J(Z;b1cvGoKh?QQ!SS1^_%hU^J!<=5<>32)^!w=*
zc_Y^*x&1QDC^$kC?e|eLOf#3mVW5sLFlkLD>=U2Uz5^rEx=qYgCZ=<6e=519RA>le
zTc(Hz<*%opF2c7H84;SeDr6IUhe&^h2A#dFo?dLx|7|XEnG#ap^xr-|cIthCG|0cW
z!i|1^H(DnL*}J~%u4aPA|GnTRY^%kP+|RGSi7>p4v6zC@X_9em)pLn$^$IFjR*Y|c
zHMsI9m8hoe9u@D;V533jyBcFrYqTV|*hf5tzSG<G%@=uq`f|2`H+ix4>29<ZxOnce
zyF^NLpOoS^PVv<i9Gf@ud^cgRRU>(VuuG+Z;VX~Ss_#I}3}?YkA7X;2g#4brRxuy^
zVF#pyBL?E;-wXAXWW|WLR0MpJ%3(WH$M6nKC#aR_eJ4lg+F%)IEx(e6eyBPKiWwS7
zVw!mz`{T#|7q!yjGJck`55a#`nk~dQtvMiR>q(PWnuN<Km{J#>-H?yWbZGVL7o?9O
z(u}tq<0v+&VQnm`>H2Ov7-Y2XeD}qe)*v&d$=e|_<+YHt1>}>$gl#RPs-2yVi+1XS
zRL@Q)Qr^NAS|lUTDyE=;0`rJrbaV8bhkY-crVzWU!~|v#2b#e@S6gh|%65{tC-8ov
z=Ljj$VDrW-Up;i4)h)!pw`JIVew+Glzg|YWUm$VCG$WEt|K|j#{DUbc_ax9artY~(
z@ykT309J1;wa%YXPjb%lnzK4#itav9p(dGVZ~y^c0{L?qqJ?4s6^60-Xu~3j$&+ds
znDKo8>oK2`_7`lq>3QzSK%O_|pLy6F>D6;?E?!Z=TEd|-S8KhkSCs7Bx2;}Y+}Vy%
z)0mZFKFB`7YLZWJL_Ox=+}n>3@zlyaIUpALU7+htaCh*#$785x<cUkMLJ$S(7K8&J
zQ4zTzm^9^=nMQXbdj8_xCz6Tqm8!nHjwskRCvkeGXS6^RTzNA@p*wvS8!rn4mshHo
zmMd;{Qo-1m?9Y(T4%W%e-~*rkUY!FFqVDb(N73>sByj8dIRO1a<wL8P(sC9z#JyZQ
z=>?C7zCGwA5y=<h5Q!!u;G4YQ)3y%fbn~o!=~A@iXfGB!@4U&5^Koh*0BKNB;qUUR
zn(cEFPWFe>_nO}c!^7v=74X2t@9O$BpPLh8m9oa#r|Cv<GHu_)0>@;>+zq9p>d2f8
zJ9TGGJDw7TmoBr0c~gu!`)B3<9A4W{sNk-hT!o=Rig6gz8Jq+?iw#W-2dH-3*fD1P
zM8Vq4M9jnu3U^yQEM3U=s<qthNi@N<g*>}rzc+dfQ;urq->2N+Zd*NsUv2>6uBUYd
zSq`$Srcd{=(m;kqCurkyNH-xkow7;{&nFHH579fcG>vL5Thu--_<6kf&7PgK<oyb^
zFqtp6yyJQ4OfjTTFdARZeOGVsO8D(N(Mn!9R=nGHZzts~?4&kR89!m+-B6J*OdZoA
z<fvdBvrkit;@qjTC(5`gf~kATtMhHNB@jctNqCNx22ML)ET=yKP0H$Xw!R|zLim1r
zXXDOG;Z@VPbG~6eBiYg)>p3tA$@)bR`zQRI{^IXS+((JS*0aC~@0tmghO(nGp?pq`
zsCf*9twE>))Py9i8}@?#<?pzpM;+@;_u9Z*Wb4WACuR|!*Xd6?JM|8<Qa)eHl4yXC
z9BQy%+5XOX>~AP=Zm}nQRWw?%_8}s`GoGliWJRqUZ*E*#Q@oQY5Qbypbn69^-8t#M
zyVLx(KRQR?Ef%=x^M7s{5L78*+Ti)V>qpLEtxzd_Q=_w_(n%eHA@lL!WDH_aL6oEy
zR=2&=O-O#0&$haYn0D44AUP>kzwaS1w1w3lH*<q;xuVez=bGE6p|BiSMYTXrF0oI`
zyDBNGHrn+wiQ8np1bp!t^we&K2BG$RAJad&6f+G`I@))?gKsT4z&9V~AR1(}ujRPd
zW-U*~C@%)AT)Eem%y3)>LT0XKB_v9liSoa@ImsGQff#xJ%A-6@C1nS%HqC16P=rBW
z&_zDq8%0De@*+_nC1wKlsYP47Ayj1e*!>B@OKvv(lP_YLVu9=LO3SgzOeF}uq^KA1
zaGIa0gi~wqrwYgo1&Y-!%hZx=`FTc{pb46L=W1er@~I<nWlt0D<B!O#9d;TlTY<_2
z<HJu;LtA0>WHMz$X^m2x^*CB=q<iD83PwZNcwlwq5Zh``a;gq)`;ahDqZ|!F_rT+(
zyA<1zSLnZ`@qnKAtaS#6AW%~eF&&IUyj%N8GzW^6%qQ>=8a>jzDL0fI`czyC+pr|v
z{S0(e)YMm~t(26Ow-vo1iNG*uYgb!<o0mg3&&|EqOj7N#SiT$F=6V5OCT%_4kLJTd
zN(%_23zC_ts$_5YYb@UOQA;@M?X^06p8!Qw%@I+8mB(`vLGkv5I2)-#*SPPZwp-_q
zE(Ob~tE`0jY4B|2i3(+ERB=v3iA|km(_g3I#>}fYk=y5U+vSb_+TS1;dl2zvtZ`Ct
z!T5yaLYopJ6NF1pt9h_pwx`Jww)YmKkD(7A{C8safgx0y2WN|iFZ6>|!`tUEc9voM
z8=i88ELjilfp0paDJVmOZBjjcg17DmO616{fyd5%oKr|c=X&f`SBx^MvSbc=BML0z
z{X7}6t~AOhEdPqwJfU}u=q`FQKTz_}ctR2R+RM$>wQ(9(aNJLAHbn<{QR|WvkiPsK
zh8p>#(Q%3;sC+ieKIdx`c!yr{9*e@~=`AwG)O|nww>S|J1=<O*Ld(zn?v<sI8eKa)
z?7CXwWFOacKdrO>1g{oN$Gi2)JgPcF4ec`hJ|SHwEY&JCTULAWC@gWN34fp7%MDd0
zJC$znT|+=WkE_4>q49W7Td}_<XO|f>)3RybJK623CixmLp2+SG{tg8MSqbClBD6LL
z1HqP-2l~&zA6WzDh=X6fp?4&J6#jZe2$@_rl6s(19^R2UF)q!%I8m!`BV#RG()<~}
z{&bznQCE@MXEFWBmaHs0o%Br*1vl=-qnX7753ABCunlX`$%-RKE=`gy8E=%dMVGN-
z9~d1rtGRI;1XBw%Z)*KUCTDfkU5ifSVp9hbq%2-O$@i9MdwpXu{gjxAjQ`{QJ7nS|
z@wuN2FBB9H0<D>|o$QlV=6I)ktbPxP@mu$+Dr%SJXP~@8soqJ_OF&aZ9I<)9-S4zj
zWd@tXBK~Q@n0NFmBDUphY0sAhudzm4+e$oDN)|NiUy+)P+1ASZ5hG$7ne^b5al`zQ
zp`)gxiY}2$yD~WmH)dUmo$dvKvaSvPHgX`x$>7Pty^WAfyIjffPoN;~SLHI|X$j;2
z5Avy~q!+>1a{4p!{`V+`-r(r&658D2G=9RiV$O<NH+mm7?G8kuDM!N-(o@+5ev$eU
zJFh69`Rd|YY7fDHjO??+4?8YvYhf-nC+5)KXQHMFua||#5CJC67NlbgpdX>~e24(5
zX?OONnN$!J-lAfX8rq8_chR-QPg)V@ZCoAslnN#^EDBA^n$_WPBaGy@arPU^^!d#z
zf3gUKxSwoW1h<Vq*KOl#pbmMtnqXU#t@RAaLjeLRK?-X{-Lm;F=a!}vq+{~zOd=i(
zFt2UXgKZzq<T2wlTZ(P-`e@F^{)~#vbkQxX`q9Hbbcxkz_p$jN{N-0;xHO!ccE%=j
z6(=zcZZt*jr=0F6lzD`19Y5MW7Tw)eUW@gCgo}O4EX-DbjSVXGS$bO_Y~auxGjFyI
z8r$p*9KD}pTvbN*W`ebpOG?gp^Gr_pcM<Cjjrb5x9Y$_pj+d;W>^^4*cm;F5w|m=&
zQn(kRlOuXsiq{e7atPd#W6>zlncLSt6>B3R_MVJ++%LYzS$onU$012!nR>F#X1aZu
zB`yD-?#rsl4+APqg8}L{hvh<ujvNvA5B(CFK}5v%aUmv@hg{fl^O-lI&ZYcASLJ<L
z*{-(&5y~uc3$`NjMRS$*{m(QIOU>;#L5%KaA_sb0<4U%mf7$q#M}H>`YtuI1%|E4n
zboo%R^$UV#R@iz~V^uuExdxGj=5kmQX~$D$sB61v)Ibs@1k}MrAYbKa>AGXdB_ZU(
z0e@Q^MnvI=)E~|KfCjt~Lh||M2e)@aSp`NT;F3fV1iV^xL?aV2lYF|q9GW63t2b)8
zaF2o|*+t4$8df8wL?mFWO#RShOK?b2y$lf@{I>_rixyi-cJ`-ca_n|CWmfeEb8HMP
zhJ!zFpc6H$gW5ba%}G*?KS(gYe^g7ri*aH`=xE)IeX26^TC<Yjv)VEXI|W^gL|W0<
z2%|EAn!n#Y&_d1y@Dfms4^*$hZDJivW569mGz<0#XIuH8)uLy3$G4IEW2{~17E{oq
zq!4}m>deusr+a(|E_c>d_tk6OtKu~d6Ty|S-$}+~Rc10y%93dUZgs6CAzJQ#8N1B^
zu<}4hItfb8^Pq(j&CC{jwJFflUbw2iDc>-<t!3I7eXC*ZGY!hhy}nVeEB+p7gw>>z
z(4;Vn(ZXTX!LK1^O5FLeVE3K=FDD42pRNa|Hn~76lcZnIzGxTrU0?L^OVpo-EpYp}
zK#G*$0*x@BH?kQdrM?xTE`itwb-~?tzp`V*6Tu<MhjK?njXa~BkMNrWsyZA%{GWLn
z(V8^}o;u<A>g?gSrweo2ht>)G`T6jBZ?LEd%Elg?#zr7$_a|Z0RURhv^+*h37Q|LB
z9Nq{LyX5y`T+qLaLCN@Av@)StbJJ5Hj9)ITxQNdig3ojLD%+EadUkFGpsbVd^Q>^U
zEO{c}RuGsQ^!+a+XgW5gfM&ve<}T{w0E(U^n^zg1A{q-E(ow$xEiEJ&ET^@zCWTjO
z{qNbm$14dj7(#?<$dk6p*h{$|iiRCxV}VX5;iYFoG*_q(e)e+<&2iwUIEA^IrHwcB
zz}5!_r~LowG@B<<cgq+8Z_SmgQ+Jxr-y$KB247C|*_IO5jlBI{jk3kaZ=KhbQNQdP
zgQY};!ep$Hb<u@HLT%dGY8{%b(w+>;x%=rPu!)|ADT%qd0`}|oc4sppx?B9SX~oAL
zFQo*-2_BLpZU;SM(8_(Q>p+-HQc&dQr<o@9|A2-)t?l{#0d!mSG1csKi;Y%T1G|h3
ze*h7l0jyfIbKPEI%p%|!!=c(O=w+)1@KBppDpNpDMl^lAL9&m)&F}_uR-D!^Wj#dB
z+dP<l5-f!hvI2vrf(D<it)mv8-D(a%c62(c@&<yb=WW-#-?~se9hzx>Q%qpB;qohX
z<E;*juw~mx_Or!KCz|B7k!LU%M?cvgP!}i#JqD~>ldc%=ni_EcQM|Ud^rHzNegS9R
zGUX_zpr94h=KFv(2mrnRLG{}$Tz_L>u>*->K88Mx=4rt=PX|XRi{2<P`EeO5?^)4h
z02w9m+>4)nIbLe+_TW>0Gx#Cs>aK<<|Cc9#rXM`PN_lNf8GVaHi4o%7=8DOk)6lO_
zmb4{y5cUFnHCpSXf-6Is_Gdg3^szSq@4N=TOL2J8rw7^(&lDY%$ytjfky^*anAWV5
z`{YDn0RXS|-#KThYHF9TD$frmY=^XT3_)cpM%0m`qoX6dPUXc58btNx1FQy6q11s;
zV*JS@IaO6uP(NlsK)^TScH;f@5dy5AkfI6{1+RMU1RA`YYxW25tY{32z`GINBn%@4
z31Z6}`2(6y4%SS;<C20Q27OlU8z9YoQLn8gX#T8-8-w@y$uJ=3)s%Y}^uP8juc3~)
zq$m>gI6YuP^kMeyPxUgxE1EZx^3s>RBcli&zV=1Rwd4>OX_;4WsGU;>`pHT6-~P9Q
zzANs2E@aR0kJ#sE(w+cvT3`UUWBKW2sFnqa{@w=XYdZX({leJ9$)F4na)H^zRS4jQ
z0)#@qOl2sjzi@*X3Q+eyWJoin#Pq@Ccuu#BhDxG8UvAzf2BleN%Qwf?@3$#9|7*xT
zEk|o`^6k{i7p>38ZW!JFZEMGSW@XB_Dv-iwv%UM~*SX{f<|}HphG5j$^V{hx>n9@B
zz$6@XkP4bPN)+y4c{SLiGM2*8rO!}3ia}_l@BX`5ps)TC7MpSc<(~Dp#diH~&yFKq
z&>0S-SDDI*0V)sANq+-aX)i!_1H9E7&GfHp#U<6#H5n(9kn#r5w?TQ!gXiMMVEK<9
z6WQ;fGa2!+4B%bQW^*}r`^e6Go52VAm>ZvSZgxI}U>@kV3=ko2dBHH`L^9~BI!(>D
znky7|ysg7M@kGLJX<1#zgvHvq617F#-#xoJH-?QH;rUs{GPw_3*jCQEyUcy?q?6U+
zvzxKWFB{;bGMUH{#0_@gF2U2;DgsFg&uP#YHurw^uq)k4M$Dnp)gS_S4$gEM-E^^3
zl0kHXVw*={T4jQ+72`ldfeAZR`>1;=K$d^*(+Exkf#+{yanvQJ{XJZ^X@>4b*W2&%
z8Jncnd!&xY<xrMMIu++)WQx~?m0?2`d1f5&XkynW;7bKicAx%tl-=k~3KJcmk&8KR
zHOsRnegyT*TPor^SDvJ(j?@!?-s#_a4}X6E3^T32<|qhpV1U){HGfZkRHi!b#Eb#(
zAiY;U{luw5g&kuK()c&KF3R)b^9<Po;V%iqs)Q62h#53=qDg1smv4Q~?75YaQbw0?
z^^f4C1Ma6QpYcFAzcd<?OE~WZw`D_kc;3Wvuy{I7wAb0$^T^=)fwJ>ykfbMx)e8=A
zYRsW{vUZpa2}gkdhob(i5zgWL3g_A>(C&pe>A78b@P0OC-)riNTMzGx&xSgCw&1;+
z=)NgaCMA@3l-6SL5S)N1?78;;%6Twh6I6itG>THX@f(9P10XJQV34+$ZS5M5u|l0&
z1$08!K^KRjbu<u?2Fl<+0tfe^`YMU7s(zfW28KL5)c3Kl!ndTbfR=q)UyOP{c1=v?
zLyAqsw714dmO-tswSq{2<aT7~G<scAl0C;InC!E{NCr%Q5hyz7o|KoBT@vm)7fm`l
zdkf$oY#yJ1g$LlnLLJ%d?8(h4p1UMavovtiXa<;b)3Yt-`lkGfsemX>9VT{m_QmBl
z^N%u5CS7jPTS`A$>h68~wvGg+BEF(e861HLYA)0!17B~JCG(yOb@TkNZw~H)@CE^;
ze-H`k6=g&|W0Yzxsl_Qfs_};Ft1OluUbP-}qMK|v2%pv?AJI<m8mz<!hO42iQ>{oK
zb+S3--2wX7!JE;aN9w(lCy^n@P0)sL0mGa$E+Hn2j2B-PBPp3DQYN}jb2K;cn)3rN
zBa<OjJ=V6yEi*t=6i#1nm@rybZ*{6yIsUW^ndd^h*?G>5{y91xSMd8mZtBry9M+aT
zHO-VP{nI@*e5GeTbl3Pmq;!w|&C@CZZxVRvd14}}`|}P*;_1Tc6h0x6AMXkLQbBQh
zJ}%6I`!_eq?8kYX`BwYzC>OZGzZkfcI65)-^C2TX%4VQw7_oY=`TL~sccW>thcB4P
zS3^jx%Cp^0C3y6I&<r=f9oQG~lU8^lK#t#J=d`)CdGGYCcoItye&z#L*o|%#zV66@
zy6Tmp%RLO*lU5VA=tZWi1ma)?bZ~O#CG+61&A#nGx@95S;fDj34qwN6ooJnD_&O_A
zMm=Rpr79ARq+3hyKuwjU1xEWBxL@qyC(*WV6g_y|N>3`HuSx$x{gj91`DeqF1`!;-
z0=P^e`nRivPXC*qveN}E{UY<>A^AeCF#kajIR^$Ag?reCpsU!<nsl+dV;0ptVp4$<
z^?BONDKTQw54>)Nz;X_tAvCn;z#EtHjn6gOr|nHE_{7C{73SqNcYyR<pDY9L{Rm5b
zp{Yr_7u&b})VSQi^gxRUXM|0x%FvE8j0OdC-V~C*#9t5XfUXupGx;RD&Aydb_(1HU
znA*#)!J9__on)Kht;LTJ-VXG=wW_RbvV_WLYNLvh4ykW*vR*W%->G{_wOZO~CV&oa
zYi2k35x^~g?ew>|*|w)03s1rz9z$;&Vn8-(s|-pS^YWiUrF`)&0l0Y!u#PF2sHYRQ
z!2<B+??Ch$Q3w3RB>F0>4c-DlDA*00Ht;sffUMc^bP~|$ue*aY)Q#I^MU3;o6!OO8
zB|PspTVo0Q_las#B4Yhtv>e_M{7`<qRw$Us+xx-o5VZu)spuPY#@HhcQV()36NSy|
z7+*8$o3{o*P+qQtnR%IR>bAOXm|@69QRJF;q}nN8oLt+`<di>qq3BJ|dfu%f9{W1w
zVUsQdfdIOYW5g>J-S<Ka8|&q%H7kJAEk~b!06YvFte-#;)dEDXapj5vV6WxDdO1=s
z%J68jthiVpr-x1mq1VyFDiGjAln|5@_>#;_2<smdnSL`-2BVu41zzHcbBY$7Y_b%H
zdYdQpki+z4gj%pdy&}^@Hx3->+*d&H$#p*EFMM3X>mJl`r2wS=y7X#@Al?8dq6L8(
z8yb|))U-(WUSs-i+nv23xD-w#agl_nqySD^e!AK>BVhH+YE07^chWfAf^TgHkALce
zRUGw(g?wB#?%Q)Leqbc+9-70U>9ex46K!Q6m;3=}{YAkU1e{0tY-S#D8Pw4Z4GqBy
zEB<$zDw+Y0(>M#@xxl4gLkTp!@InT#vR)?x$umc%kjT@y*7N^|O%<jKb)AiAxzAoo
z=O5z1|LCCAK%Tx}@_#Z2!HM5a%@l0v+L-(Fp04K5k`@$*TI!9MF?XN-xB4sIjbT_D
zeOjuw1(X5=uL3qv>?bULKYA}-s~nY+Z5f|j>acC~NHwzB@uJ9$H`$;+;eE=tpU#HO
zl0ha~8710_G1))PKxgE@#0Qd3UkF9mrTgo8z$gE?TLCMv;Yb-4VC_~L0TaZz?>G$2
z2_p737{?LA|8zctd<2j8mW_ZO4&KT8-!YyABfxblI39tz(Ia`vWzwDC-yXr91~f_5
zwFl(4=*9iSwkol+66_R4b^%}tu=h{@*dapbVSwel1lb`z($FBGci$)~ux0koYvd=D
z_Z>2NALh6})hpsks~A==_g!@~5)ttZ_A=Dea%9D!`_xJKa!S@yOQa#T=iBe9;)hOF
z{YNCL{pPZa;ajRWsc3^@s;x`&=x>5+VgkjfLLiEU-wnz5a;OaDFV#1{ugr3Etu4{X
zr+4i1+<k8mJmo<LSROz9MyHYYN<X%V+)V<(**r+*b|_a$P0gp@Nb&3XYT>j2#M2bO
zERl)c>&zAk8GxV+LM_9cF+*gx0xJKX!m9w?3lKa3hdd&3?&lwY!4y80%~GuC93a=W
zxGpDVnQHj;XU@e~rPJ%%JVS?k8(B5Fx)#L&i=z515Vdmdru|$0iTC$0?4WJx{N)<!
zBNoC`^b}~6#Y*^9chg?b7U&c6@(_;(`U*{PhA)qRG_Dj|z_-+M7E#_6{NDf+*|3cr
zPFA?z@k5d7$>mnxT$x0ppsjYbf1G=uZ*#wqOt}Q*F(bNdPm75u3dw}V`)X~_srW2?
zu9w)K{<6QSV<X)zd3E7cKh2r{8wj=Z!LN>!9vkQIcxrtcN_4?DA;1y^EP%V%ML_uC
zx_e2w=A21`Kgq0KSt6gb$K$7KWBq^$y8N_4)o0#lvm5)@*zQ_-3f0epBh<;fFJgT{
zOo${pVTvNcm%{m~OKvWW4L~$#cpm;uE%kr=jW|3q+IM~IFc%F(B0->XBVRSCq4W73
zmmJA4PoSHz;nY<rwdu(a)`_DG%V-(#(LPUtdP}qKOSMXsrml|t-+pxOy+$qP8pA-w
z8S6#Q5wn<KSjPz4IREi*H`Yb*=FOb?gI#O>ZT!uQ#xkt2za@Pl6bB%%%0aRp=3DXJ
z{W%+NQI^tIgCjD)!&%l#9(`Z_wKaN)-#hk=)T_22*E`fQ?N_A0#y5E?<2dORnCVg2
z7dI{jGAC|9)ISfFDYd?vnVj;U)G+oZ4sT<7-cP$6Asab!kR8e!*EeLsG`%Q65xg?K
z6yHjq;6_VDH)Hb40}!OXIBP^3nh;R*J+KFF0G9&s%g%C~*c*YGVqUEzx|cX<o{YO%
zhS??vH-}M;T!twFrk!6K49K~gZ{E7;*Ud)FyK#T*$rqz$wydm)^fpiUUi&4k;|t-p
zm4(t{@kD88@yHv#K?&ScD^nrH=-#Kp!(C<%R}(0RiK_hZe7sYWbju|YLXUYO%AS_c
zZwMQzla{oulUWH01v7jEs-7pOeEQXwdpFBo-r*Yba0M%|vsuy^DeA?>yz9}L*8fqA
zr6)&<R%CW^*;pAbvo_#13sIOq_45gzFY{Mr-S#En4^Ey8`{7dS!#tE60936|dX;dx
zji2E4huh4iPp_dWm}5hg((|d{-X=0b{u@f^a02%JbDkg9ZSD)qM<5C;?1rjTGk^GP
zG`Vad!Or*=D~=hd<i2QpJ>S5#$5Pe<?Z%#KJMpVae{O-FtX9;sk}QE*(H&qIn3zbS
z$QN+A(Kkc(+pb}QJsD_VX)3B;peTx0HG6+DA;p+;uYtCsa!-U+W$x9EzmNy*igtLa
zzeDE`30~~ZJLX*p=_e0j<7JpRd%Lnl`|L@~N3J-nzKu3<q9M)E=LAt0ueQfrhkeRe
z6mkcJs-V4zn;%b7C~eH1t7h9sN0#&J(O}mnX6?{TiAS#zX#X8qFrcJ>ec}-tB`6xs
zgjKw;nX#FBbp6}KlP?r%ML|gFX9s<CF}kiluHR#_9$$+KX;nN43zDnQllUG=mGWfY
zo$cn>MveKsv^ChaQo1h2{l_blipODVWlO@3;|6+s`cjldo8%}Zx-QRbScJ9N_oCo9
zP?GOsr<?0r6E&nHq2ozR0PVv`7iEHfR}Io1X#vpX#%RrqT(TJ-)WCnlLlOVAspF=u
zKCFek*uZ_!1fYdM(hz-)KsqH|cLr>nd!oI5&I4>uay{ej<q5wY(Evl7;vWdlx32lh
zq}FD#tdvHj#jaoFf3JGtW$IcP_;S*&<F(-5zOO7!!FJOz{0D8aUtbd!)-XebjLx|E
z@>f9g1Rc;%LVEHdItXAGzDy=GfzX$M59Wm+wFWaT?y%FhiBV#q`~@f~JEIe2>f07W
zK3u%1b0lMh|I`8Iwav{+24rzU!-B5gBgT}nst+>X+=F^|3om~Iy+xo-&>E@5?)Lt6
ztx+Z`6OHDm>wuZ|%N3t^IZhOQYwlNk-$tmO5OI+>(CuULQFOI5TE8k5gR%rgv^coA
z=?LNVRLzaGy!>crhyt0ZYv`<q%G)uAOhC5)BcHkY=~(?Lwog@Te-yJeylt0>gTHU5
zZVuD?f@o`Pm3+*l6dP2pAuBD-M=3&-3j1{AOG%Y@mLa$-Jd$Mu+Fp|{<r++ml+tv)
zQzm*=wYA>L==1_ABH@WxR>I96xQ_kiyae#)m+GfYCu}XWG7{Seudn)gyItrH6?DHl
z0b{zCnL6ORq8f!6p-d-$ehz^@-#5K&e}Abj{zY&UMRARvg7QS+UkbunB?+$?ll4me
zb>{=8K)h1A=v#OCZ}<|I;akz9PIPWg3%7*6Q}T(IDY-0FkvNcs9R<wwG_F<3=r~ku
z>X~V0r#Z*?05l2Z`B2xPQ!h<N2d!ypXC}?HwPW|FYEkU9hlB?mHk2&NJ{EZ4Xoza9
z$EwE1=sxgf5n4EPzzGJ&wD4=8kB(^EI4|SZ3K_8;kD)FHIB=X2mj$~NQjvYju^U(^
zZ|F5^zZ~`YAti&*pgeoCJSpja-2ZAdHnqgEc<j8Q!<a+UBMGlUHyzUkDuPQje6-g<
zy_NdI0ua0~F{u#d)2_xRe-PuyuMJ(4j->3PIjC>~?&nY`2YNZp#FA|E+8nU)C4`K|
zO$*K!-u3SGO>CAHG}M@D#wR_JUa(I6+!v_av3)XO{5UKgydS=z#Z6q<y~D;*y0JzY
zf9_xV=l+j2M056Yi(csH2#p?2%$H6-68MsY^iaPEEy(Vbu&>*Y6dN>zmg}_%WXmh<
z%bfF0)HN8Cdw7GPC_-OYFYtwZJ%E32-yv{NQZVsdqj{7^jk#i1i0vxVZ|w)FM91;J
z^-D-To19da1zzMjzv=+i3=~-sGC0x*5sEnY*j=%%_m}`TlN;PwO6n|bmX`_jA7J=Y
zx2JQbhNuXul|_fC)*iS<!sm5GH-$ojQnKD84+4pmpP#tYLHvtr_uJdAc>+g`ok^VJ
z`7e7a-@~~NGB@mF5n+AFtK|h*IX^S`ztGM1OZSsx`<*G-Cm51|3<?^bk=gul*o$r-
zZOy7qypoq$e|vD*7VXAGRF+1sFxFV248Km*J3rAeWpwqi0w65KiE=mbr(z7_p|zR}
z8d1#v4Gxw|?R@FWW2IMa=*KS(3q4#sx`i!&r?y0TB&}rT|D!f}T<hL^uISWs^gygN
zBQTR)mA^!tQ{bmVXO-%~Cj)IchrHIb#J#R;+QIJMOvK#mCr8P2qCo%~5JJ0s??iMp
zJxTXh3sNQgBA9Gmcl^B9cVqq|zm`1hpGBgrn4EM|OQkt629ITQO2M7EWnVj6K5-cr
zI8zi^=%L!`rvc|(g@B&?`E=V%%Z38CSan*QG`O<~v52<!=uXTJaOb)shsH;J0cWNU
z24`dO9ao|vye(Ss8a8%5&>r;O-4!(lour%dy2zistvN8yXszFyPK_~0mJskk1y~`4
z1^jam`~B)H=T*N@n)!D8-FM1ng8S0dT*c<G`#f}nUJqGG=-O7OaI}2;Zf9`_jp%#)
zVztY=+|ZL1HJ|WZ8vdJ`hCF~L9&r_%ay&bW7(tB(hu1m>4cZf(7o^y$(Ius)DZvr`
zXFOuF6%$)Vp+OLRzRgFoYL!Xg=>mSO+;!b>({14wIl>ZOzZG{h<1Y(Uw`N4FlIQy0
zGTy%x$k@2Dl`S)=mupuuRzxrJHgl!OZADJD;`bN)o3FnpRa}OvNP7YZBb42P4tflp
z^P~`}2NZrIWj>}Mi{1aMy>M*Xwg8r_rr)>+UO41JLsS(+l4M3qC7u2})60+tD9C>c
zzd*cx9p(R`+gdyLDMeL+S;aG@;zuSRu%5J=dI`7<^xQ-wT9F`!^UU<lR`WfkppB3>
zFusD09g_n$kQfC39P7z*&ePac+I0cL6w7Zhh^uZ3)7F3KDI_P=kbLOm_xO?dAiuS?
zs@0Lp7bl5Q{s1@up?c!Bv?qaP4q@3TC22|rHYYpe3An(dPrv6|BcJ|!2{f~Y04tW+
zZ$6wRBw{@8^N|9!1IPJ0W;kb(jFAg5iq3kdm3oRz^3!vBoH;;lxbZpB#rxSprStk5
zf>w-*B$gr8G@Te$?n4A$nHZAjdnE@terO%U)=*JwgIqFmFLu=z=igzY4v*ZLIGK-9
zVjq`bBC^MJdRy-}Nwg7)Ob4FPXRF_SbHpDLz(J6g&}e;x3tCY4Vb-Yk?OSgCv~s!c
z?gpd0Aw@gL3PXK})&p_6x&M339w?79JqyUR*bt)ifGKGMGR5-Pa*r(aL}TkI&M#C%
z?iN}&t(iS%B=^`u2D?`j9KLKk94+Lds0Thh7xnT|MS$Y71H||{Gy4NS!QUc>Zec0w
zLF4y3E}9}!dHMuazgurI9(ZOZ8Qq_9526~S0Z9rH`gpf5_Z3jHTBuV#wd%nq%FLeF
z;pg3PbZr)oodlQ&toAQz^|d#mVL^Fony(Y2#Xf&G-k9uBZczZ+YxK{x7$MlBIoy~o
zJZlG^qLMeAK^ze)0o?$up1t=XH9#{=wf)aY{mD_KgFh1Y^^wN@gFiSHM?+(G%fAhI
zl!Fx%ZXcz9^+4ul?>Gc_iMDg1)^88M4Gskd=su`9t||{lc1uR)oG2X~^%lqv=EW$s
zt#F7|vp4Y<BQ-K?$+hC!dbZ9t{<wVUHE!`+`)w@kx5M{~PnkwnisFbJkH}IQkGXX#
z@){?*A|FfN!6QBBB0k}Yr4fidC$*+=TQ*6(EA69a91}i!lu}hoQtxpj*jb&OK@*g_
z>;7iZ&Ch8>Wj{8@_q{5&IA1tX#QjywCxOQYqmOGHJ!Dv_JxzbaDYoS?>TP3RN%Pet
z5}CFj^WpehLJ2a*Zb<QOcGS?3h3B^0fEH+5TDX6^SZ81Q?60~d6AbcMc?Zjwl6Go9
z_ZOqbDUL<eub8!@*FXvQ<CH90C}Hhw5{!y}tAirhBLI1<C=nIHywr<|eU`6BFh<C=
zD=3YY(zq+m7e{W#O06PDR(q-%)i8-Gqs(UPL|9;2PbpIHwe47+hVAhXm?~0_^Zs5p
z#g*;J-ix3=u?{P&8k_rhJ&x4VUE1k$|2s)86g%fS+s!rdQv72X=o(z1lvFLYc0@57
zKIfOXT9N0*+39PR>A6Unk5ip_Hk?DyvGk96V_mRxYtKm=h{ey<!T6+yo3^n5u0H)-
zR{*WIP@XH`{Ta73lyj<Uu07qJD~CAdMN4-3$1b*NgDx}K)cQ^YJ;!%Bf4A#?Hcw9l
zaiMQRbm;1><{kOAU}AXlwlxBc;i;q2USzwc6(x_1&jXuWp1b1xnRQk9#W6V=VD;eq
znd=^%5-oKs9fEa21!(j8$8p9{6Y#{F=_CJ)iJA1;7F-`65TJ&4xCIMR$~T=p{V<U`
zx+DW&Q6ePQ=7ESFHI)UGEAyu#ep>g7e9^qol_M5={>ns*IOoD)PxXe3yu&$Dztp=;
zUUF!Z6gfck{3o=I(A&67oBVN-eN4LM!E*Kh!dE)Sfg}!qco*2#dtR*hNT%r^Oe%2G
z+Em-Skz9QW15Y^=cGSbI$~YziDw6y2zYGn-eb)3CYvV1n*fgN)f@<lEX=g-FcGA|d
z63b665D<Yc%J#SuS)&Ov6^8DCUHqpn3$b?4d}=rgoJudus)%mNrJoG^kYY`LYSLfe
zGJ5d}`qJCQg3tJMZZw!rrAa42uBID8DNLubrR#H2(b^5awR%~__DXR}!j!4?gVeBb
ztq3aSh%mk@Z@O0;buvULew{2m&$W4R+J0%4Pdy4ZC6!(m>`)Cc;D<g_1_H+dD!A|1
zJdWdplNK0R%sH0S{<D4!{~U#v${7DG3ZXLQp;dE()Ci}H6L@;zp8-)tAujy#<_-c~
zhOD0ipG-mKX8SsVys{-?eqVCre*8R*yk3#&k7%+e>G=-ucf<wN3PV+o+{h3dn%8w*
zJtJ=DW9(`Thp>Y*(dwe;91d?0M-W6!_J?R@Re1O(>1<a5D&9@I(Tgk4$<&T&2)bWG
zpi9}G+eK(OjMKq7wbPM=2x$_G?}nmRzoSl$=m<VZ)-w-J5{U=U)sL|88e--(TkLT&
zrg#zNvK&vdpi2Wj5V-6y<Qd2$@Wp8_ItT+7^bg8}H?z<C1iEaRn7)y|+scwnS^Auh
zROSw;4DWYcmU)1?j@V_>^I?3RD;F$DE<OA(79{DxLFpN2mjHjRXRgJ^UrQ_hp11wP
z*UTqAb~=klQ=*>Aw$`wvC~-}2!}Hzjm-)f`E=d_z45GkcA{x1Dz;46}k^(n#rtU|y
znYD8iz7^&d!RMXJrzkv)$aAH@YpLkrd0MrtnZw49Vj2n=s|z0YZ95YAgK8@-71i;<
z6=KfT)TQQ5T*v1Ou?p)U^x)eWOKAcqR^wm%8{mGyd7{5}Q5f;na^9$(dgaBNpPG_9
z(}}N_Hs(*i>%obPB&~D<eo~oFXa)tb1j8a)sts2RVgg+wd|wIh&T&U&gMmP8AixdG
z_iZK#YD&hg^KkUQy%KcL0Isg^qMZObCUGutTJy$T<3gc4;d1GRAP9!iVvPh(gKnkd
zi7IPV@;DNUb=TJ*gp$-YJG1u+L6Ni^&IA<uu!UE&41P6i`d3G!)2@95wXs~DLrsw8
z$T9uGAS?Rh?)1~l)6#gPyfJ&{%nu7LGSmu<{GzSF>jI&?nCmi!f=h5dJV;RQW}Vhb
zGBm!Cg+p+YdpmM|5I-+2?@ru6;e^&1oxqy&qs6_#fj>bGla7Cl-_dcyO&E=zgO_MO
z(G!4LG7}vSv!Rl}WMS;m7zcdvs%i&zc_x&<Do~uutxlzjNu*=tt$K1zcmg{J?GwTN
z8!5(s9MvCVFJRT2*Bc05Sd8s+#Q2?CENs7{>8^*g?x0%-=1ZK|FdH7A4)L;P>(}W_
z+wp~PQ>SM^%3<E~lXBeo7+0#1>m^7}IRJp~tw)++T}Am7bXgOguoe82eLSt%kNnF)
z*Mp45{bD!Ux7q^|TK&c_^R-z-r_n~D$WJ9k5GE%q1y=n~iCW+C6t4qGe11zuTZrY{
zxv&QrZ}w#i#O9U9HQ%p$+^3)UABY>kZ^eTXY_dt9sAa3=g--S~+1xDaOEdJ3j$Ub=
z%1b}^NW8j4(|&ik5jaqcZ^~r`$6%5sA4GnL?TW!*R?g#BoEz?Lc3MFT2|aE2>O~~z
z(oH=ry&kJ@J8b(KFz}&{a4^LgeNFfa6?pLvOwG)E8}<|+$AOe;Yga}mZ2W#*0umNt
z^+U=l7XsKRFn3ePc=*cwJA#{7(+`~)yQwr6{OnVRv}^>duDn~_ly6C))qL$R;#krh
zji5rd;Qu>{eiS(HkDbe}OG^CJ$2u)4d0S?LwmAzc*<|W*R^vf(KOiGqTe}AS2xQ=D
z^q7LOlb`hZ(btSxjbHXbNT#SNdFKzBr?Ly9!{8*|fX(?ZtRPRY_?#t`{UfneU{*rp
zG8l{+G??aqLl(O;Jx}e2c_1J*Ulz&YL#?A?Pe*Q!P%Ae;$1SkWB*dE_m7}K=QZ%Ox
z4H22WE>7BxREqa}N8nLSwvO`NImrO+!Z*hAjXDh}S9`B6VdVn)hFHi(%Lk+HyhwQi
z)&tffY=>B1vd|<;pt54Y97eAEy4xi|lmgRMcel0F3GPFeMt4W+|6`4%_<c)d)tUS0
zAsu+!*C;%;o6ooP%du<S7GGJ`za5Zd))i(Qzxsfl8R38-7iVRv_5!_c!(^8`99k4B
z&YL5;Kal34j$3I?ZVNX3+AC1=4x_Sa_B$l?I2!~l@~Og2!Y-~%d|^hY{aho}k2>JS
zt)N#6{4=I5boLTRwE#6d)$)mIUD*3!gSsN-e4aqGnAEeM6>;gEENh3c%Asb>!39nc
zNkIeX=z#%lodtJ)*>X-3(M?$mkdYb*;b{V??q*Pbb-+>5E*<+Q^>E{!=Pq;FW#-ri
zuN>X`Lz1E1G|;Ob&a>X?-w;HpKl{w|ItUeTJ(4KEaQ-AyK&gzy#F<;ea9AbmtD}Lv
zSh;6`bx=8oxJ|gm-?4p{cS&8vCk{sSX|ZxWh)DVdXS)()qN&pb+spzHG(_0>ml4Ye
zs0skaEx7PFAlB-^SYD$uh}N_iSPA-!smLhXONpw-BSu=Ct~R3uhC^2Mt9Hc3A5=Kw
z_Pp8L-^(DIXA+|W2A$x?N)+21Q1IHx*`4CnbAnDBS%1{8j=aDw%dW7Xnm)%<${e?*
zLrB$Yqk9$7CJ7v^$vCx?rk%&^#HNz9Llz3ZJX$T|$thVa(o&({<Y-?~%>(U}{hzo^
z0Xt@y4BYZl8V+}^W+m|+1nF)_|Kp&m_-cXDW~bFPFv)Q8R^wxfBt4sS(<iYm>rBLv
zFpj@x6QQ%rzAfN@u=;Tmbk?O`mJ>w18t?NAx=@S_FlK%@($)ZO_Y9L%b5A>^t?CHK
z_c52H)7b9zr<Zs|oNLEPZ^yLgLq}8aFVYwt{IM?xNvdAe_=Lr56MR%kaN4fQ7L#<a
z+{`Ndy6`u%yNkex#CiggQLeIr)D67AACbzVJTF8t?Q|5yVs*n30>Zq%D$*1cOX%Lu
z3B`qV*Fx!*jn-NSU5I7RA$_o6Am+*Wn(eEg(fd1DvoYYf4xC46`--v?K-c(8c<>&Z
zX!n;`SnJOd;E3@Qhgjy52IM0Y_*D7nu_U+{{C+_^Sw9t8snjkHY*)Gd0HMaD8#%##
z+y3O4j{vNvHgFh3yyt2u>VpN-3cMi{akrqL0NjOiNJ>Zoazq#-Xq^XYWG5x3+X9^h
zNxGjlL%Gb(54r{*eNO+jxs33T3yUjRdMo!lN>|=`lt-XS9>n%s^{(RBZ7i@lSqZZC
z{rhBWmrLF&s%D>Gj7sE|CDupj)9~JdZ-hX7pRkV5)!~KG01^p!XAr$<r=mZ~cx}^@
zt^Zu@W>&Fa%NtJ3>|t9$35=bzFIVMqDpBL<XfC*LK9fk-4R=TTz0m^d*!CJGFR!4u
zbU6YsFV5p?rcb7J(B7net@^&>aw+aj=4#^r2d_x{tc`-<oy!vFcRCzhT_!Tp0xhpb
z_O?o=8N?=vz_8BXVNHK`HFe*CCqgBzwT+E!vCfy~*>IWWT~ivnaAkB@B7~q`KM0;T
zuzr-T_h9!3UEpN7Y|ZMWvj8wK71q-skYemb1wz`?l)a;~({?^s=oK*ieB$+c+@f$6
z6z-LNZ9_$BKF_mXh(axG?bNzD$*tY_*5D>ktYojd^k)rN3O^zGYVI*xFv(00Qqx(6
z+fItQR}R&jNq}7seRT|3um|!;KTi%l`s*J$(Rw-k*4}lNPH_1DHWKogUI(tSFu-)_
zS_c?0+i2c9cN*}8CK+oWI3$rsAV!E7Y3S2(1KhZHEu_r@Bm($vtD1X0*vg|Vu)LnW
zD=M~nB<th2xE(-gAj~DnWd)uTIAarUOxH6M*6b?iyc-=K56CS*;T{|uJgaqc>`+zB
z{iyft<t39Jajg4eQBhG??~q82z9BMjU_&{*)CXSBckkL90JqT~t3R%y-RVC<68+-Q
zeor-tNVa8$?vjy1-R^=Yx&X~>s<NQ#>=y{(*NKVyr)eiB)WH$tsiGbgO7p<7VXD@h
zAAm*>WI@1wBSy@b2hca@xpa%KJUp8vSR9Ule#9%B`kTX%NG4x0a#&;tIPU_Z7b@ak
z8OSNYH&lI_ZooFM|1~*~)PS6Kl!&RQIdrG_bjJgZ974PQNgd-o^AvO1fJ)-PCyF09
zd@9E9T>{g4Bl@A|nXtb5=KXv3?lC@m$Y7f2NPaQ@@IuOj1R8`KPA)occRU!D8W7`K
zJ`Xt#>PQETw7P0I=G|k;%K5KeZf=(!hS`&0Nqr%L7Xs^0`A<Kw-a+ED7ak=7%c@!V
zB@wMuj{PXNu>T8FOkTo0oXt%jc5+g0((`n)@^~qJp2rKAjK<us>K0w+;sO$Z57+RC
zFDB(ADGZv-CYF}|({DCdtxWKp?3`vUs1?yhEiP%Xnwb3Jb5gY)m@*(sCF7^StEgZC
zeiugT%Rm0Z9_JAk;o!urP0_7vvD#A%E=M8F*X|RoO}v>c7Vqgo-~cn23G3F%xqv%R
z#oFu7*zEH0+KFft;3QObM@m-cM|W5Pj?CEb@U<D((Yg!pj_Mm9kK6UQhDZ4hklq-8
znGy_GO!Wf(m)FH!^0P{t+w>m$YQU8jdm2E$s?UD_i816#3LHh#OnZ_>Yu$yCJPvh%
zTPms0lne70?iap5F&F#e5*8^%;K2)L0bWaBO)`4Te*^85J&pW)Xb6m@{pe9E4LU-F
z_0^vDG84z9zc|_ldJWT)BK?j_%dkm+yJM*~CLib*J&%FopqA$OP5Yg_PGyRz-vXPV
z=tSzE(QOkoR}9wP2xN^tVEU=IcN{WW0FDXimELerh;DR#!1|Vf;T?L|BfvUIjOFzV
zyIq08!FFnATf&}iA{Y4zzF1Yo&q_xV`#I4F+nTp<4hgYxqSj!VPqy=|j_1z68Xc0>
zCfK%8{aO;L_n*Evtf)L3w+M?pK3J3fEU2rd<_(m`BUtYMI%$sA>-Z)DwaT{YDB{u!
z$9^xf3(>m%i+eGj#6PM(MZzmz*Z-CMX&_JTz_oRFhdldOY9{>}EeD2~!(dvPr*RYf
zN5|ZEbF+;nQgl9x4W(C4|483OU0NzkR*d>Nci{f5K11S!8}+gNc_C2jiN9W~TB+)|
zle%03^n-VP^e9s!4uPFFkQ83IoD-Ot$5`AAzR;=~(|$`!%pF?C;gX12o}u!mA2qM%
zXi>8v{~>dwbiHsAeARp%7+YUkA1RatM$O6+2ZNDbdz;o?G>}#ttS_Lw%<}1#?al8r
z{^!PWVtKA-*@etc&gD0WA_|JT^H@ec>Djku;n7ydwzNRUDTmyO2GZKM-t9o4pF#ni
ziLz=sIP=dl85HwVZHG`lg@EJI>n*-dZ<f-jj7duOXvq*sEFXLPbq!P;a8{(hR^OA=
zRran;ROrtsTk_J&i)}*P&d!kx&sZPGUkS?=?IHfxS&7)WMviK{`5utvL_NO%vNUrK
z9%w6eq##@oU@u8nD~&&0!BV6V$_IAu9m^pcoG^3G-S|_e`lgln+pu0=AcCE;#R8p(
z``?h7hM>N%cnXiCL#N{jj;J`Cje?SXsbzXN=`!P^4Lz;6<U~6vqT=P6e;t^T;Q-bF
zrH%gf^4_LYXFrxN?cRww7lVkE3T=@1ERdYL(S5rXVmdjTRsb`mLJO+e_um;MPga<*
z8i3@KYhP%h!WsuFGAe5ILJ#^92e8^{aFir;z^u2}V^!f%vlO{=MQO;+kVm~w!Jy~<
zPi<cvR@K|JiHV|sfCxxQhyoVfAl)U6q;x6>hXxY_>5@jekxl`BqNJpBN=Y0_x|y{B
zzwdpgu5ad=*?++~`|SPXTI*SH-ztY2O^sJ}9`n4?>lQYLrn3LKO5%cd1$Pfb1aMYi
zUh(*CLE_x%1QyN%D7*t+R2oQzw3ijnH{9jtC0E4G)D+d9<UT2w6$Q}tH_g%OCyoBE
z(kZ9zmRw^M!#e-kaWY68!ASF^6re~+Nzp!3g&h7;=7N%vYXQ6~7chPmG~Wy9zl!us
zN^lB`FR5Q!J1m_#^{Jp->0+2_A<dPwP8*X_k?tBmG!XK5Dt;x~S;A^^M^r7Hy@-Oq
zc?k%DGXj<9mI=7j8kM(1r8i@Mm=R$GZfIIF=-A;4S1Um$<UBVMl<UO6&ns>Eu;y)9
zPdTrWb-fn{v>c#oIWGT$$z;+>hCufH3tu3@(RZ-7P5eObVeiT%qI=(f_AXEFpVLS>
zKYINs)Jkx!cPZHbc~#=m(P~p`>pEbj%L5QfqynL4r~6Zd+al0+FV7dYjRTSOKQNmB
zkLj$pxj4MFJ9_93bkjq&&3DaI^bpoj#XDh)Yrb^Owbj<Wf<No1d~?U?8{6vAnO$zt
zw4eS*nSh^|<bv~TSz(B!!>}pp+&?I?5N2P^8b`v+s^{OWM~zPRJ#HnvL%!u5lT~D-
zGol$#KeEj_<>G!g^pev=A&6?4mxf^wK%J+ipCo0PE~q>B+}Gh*tZ}~eTlTt7qmS~0
zrmXY-F2(EZ?9a4IRS0`xzSSUmwr&kYOG^vDK7Rcu`1%>ZijAj6Tl+)~8SicV0r*!@
zdwVwitzTyVFElAV{Q_`x@k80n5>kp$5RHJnh@39+37>gC1N#o4hBc}vN|9bm-G`(z
zVz!U%MGHL)Pn7l5Zp?&Dw8~L;*EIGKp3S0oM4IpJO&4!wz9h4~9Ry&Y4~mcjm>*^6
z3f}}CmzvR*+tx<Ek>l9wHYLvjfrtm+^4#c@`YE20&PRN_{2<k*C)Ykr-Fx8A!S9U-
z$>h)9h;Ur&<>ClVpK_4(qiCEyBPE5URplqbU_gq{Atu-i>1Y76Fj5tnpa4q}2gnGg
zGZ*A<j`-!6-iVOnvD>vVNdvkTgi3<`13E0)JN(_Ubl45fSc6V1=U(~WT36-Q=KC7I
zDr5;=$?6qe>vM+!Odu#5SYYF+VF_}Jp9h=Qe%gs!wPLr^tZ38;uQTlE;4sOTsWL+%
zo9rwZlKrYKXMT=haRY`TQAO=IZ6QtT%g6EMb3tpl@uqLh5g_n7TwkJRnU54L*PUl_
zZWld&#eAcRL9?<aHtfTnl*fK(<C8<)vvINQfes@_GikRbqlGA^Ub)L>hehq?zjmB)
zVI-IrRoai}Ds)er4nM|fj|n|xVo2=#V@X`@wxP5-BWY8rl6IPdmK@D%nkw`sj=W-;
zH7RAM4B3N;uEjbrWz==H>NL`$*fTZtPSX+kda^dl5=0=^^9ie@)`lJdXc-wD%oQ<D
zdg(%K$UD!1S=HWIz7o+h38kpG2n`-Z&alNDbVgzrc2y_#z<lm?w)cu*v0}bUv#KYZ
zs7~DZQ7Iz!D5dhATTAZqK!%AO5*6*V>Aq{&Z;+I=J)=P)n_Bv$9^DcjRk}5)t3@r*
zyq7^8zVScBf#P5<C<y7r_x{^TtgPAw3uVg39TxMPm>JBu@g3dv1@$Eo&#uyQ#}pKD
zE3mGa^L8SXMD=@*kvi~QvCZBP@-x<GYs<B2=^lSKjIYa!#cz=MYebSg@>Ug8x~`(p
zS$ad<n<@9-6bTjac-K-WMb4Z#;z7R6dp=oB-3g~NvnH{Y@vdH0=0)NSjf@86UhiP8
zlHy+yJzq;LDj6jGbUYNP(FYTkJja0^`0Xgm2-C;?16Sweymps}?%}?fQ9+gs?L^cN
z5;Ii&rTO(9pob$(@kundk6<8_7BRfX*eaOmhfWi+*G{w^YBU`S9Y)7zUUCLc(=xkg
zr~gaH>q)65Dy$%Ve}L0;nMtpw`hBneeW<7a6i`dj=x*ziu^(5k`mJ5sDl(^>>6;+F
zXtcp4QEaoX9QlKWnbX<A1jD0$L$s-;qxB5+53NJPv2}2vX)kR9b@>T#3eCEMu^q>?
zeezH@J(J(n?=9>3DR~ch0G;E=lDElJx#L96_$byZ!RAgS<7Q$8Yoxg0Gg^Eh^ZHOM
zbo}kla<}$e&7`ZA3yftgZ|?9AW4$HtcZr;N8OyNSdWn+`iTL9Mjn9)=_*O`>d5#Rk
zVp?jlNG1PIL$gUK6Xcl^Z=0$ls3)##@<n=Gle?MpR*50kgEq)YGC8G+Wr`W`ES^x2
znl#lCcZ~kyH7Z4}EEYhOu~Yq=;P|93;-i%Fq%li`!3OcjSP1A}$;fx1z8OZRqv$7b
z8$e|)?LHp(Gyc0R-?sik>XL9b-T4sgH08&K63(|q@cf1m4xujZ91)MvD1Q{~{-y}-
zyz+>H_19y6*?&G=NdMQ!R5zqP#?_b=R}OM}F-gc>N*VXdPeT9~b+ZTh7uX7cW{BW*
zO4Rbr9Tx?w{iI%5)Hr!ZLwW9O`T-$<-sIBb#D_{#ZqwIJX7p<PpUkcsN@jCY&n_t#
zP~Yr^MhC?yH2Jut4}8-r7z^z{Kb?$7{ZlgaYiy#-<9oeCT7y04R$|RylL02G6&`iy
zo*z8})yv73spj=@gU3#E>PImW-|_3ScA_*w0vnXa9l3@crJU}#SWBG#Kwr-Ac6Yn;
z<x8X6tVR%^auKZ59t$NQ{N6EG08pYi7>`0`A|8x$5^a-zc4>MBNzOUTXLtw);(<i_
zXkpu8^xu1_V`NOE7bF!Up+lae6ow_z4WnU~-Fm#$?_i4+DVT%ZrhsvAX4LDl`!@|0
zMa!;oh7l(HNiK~^hxVn_i+p*7E@c;vGUGrgO<p1U#K2Yfv`>`5hPt0iEG<^B4gBzL
z!$U6euUQ7b<kRw~F1aOD3|gq3rzy}6onK)%Cy?otpsIQ`nr$SJWO`D$<~6lo3RbPC
z<53bNY(dO1N0mPs_O&|yNtJbLq1tqsI2LuD4>DrG@vmd5(eX=oX(OH6_hm!=^~NSW
z5q95T4V{!<_1S<XkY{EjnolxuH_Ay)Zk;FMPP(!Yw0UK)>NKKB0dOg}TwlI7bcKJb
z+t(+#xsOdO?b@1%2a#sG64Vqd6dHYH>j-2YUg*e7luG(q06Mosg~yvL>(3q6%4>o&
z=NF}gE+vUHoLxx#C!l{2Gon`v{1iX|_un%k&bbS8Fer62O&At^;g76LyDaZyDMCS@
z8W%Fr@u~^JKah~;(7WBYxW2-DvMVMXRpo`4r@Hu?-abZQ@-dG^Nk~|99nsJfQ2N#*
z-diM-`NWHBiMGzzBrc*R#=Drridg=?z9rK^&NG58J65f5bBig<F9OffM>Vp#C}kwj
z>r%$)UHU1vM--$%3!2^D3Ch~{Kj}GGB7%?FmY0W)O3}(!uJYC!yecyUO-}*CbaEq|
z)mM<a{-feQ5(U<^-gR9+O%2ee5KgGK6|7nKdl4OCKjualS@6OYhrRrWpDHHJeN)KH
z{h)TT?x^bvE%5QfzTT~TP0<m(AzAzWZFr%J%MWUvW@lQOS9n2xuF%w`d-fQZ!ghox
z>h1kZ?3^sV+icZIGtM5U8HD~g^4jlc8<|MLgJzjGMw7K~?dl%;Cc|q~bJRY66kvI6
zAj5pT$f@g<?D6p#`?bdm)>^8D2Mw<EYxJ;*ouyIX`F_hw@~YTu#vTE-PJF+D7bHeS
zvIhl|)Q67fDH-BN!#Si30T48lSM~fujjJo-zY1*OT`N+yjP8v1=k`zN9x6tAu}?%M
zUimAZkU(`w!$){5i~%Bb1fk{SrO>m`8Fg8@VLe)?b;mnXC)~wSo%BOJ<b@LfJsad7
zWqwlFi0CA+Y?66Gqsf*1ggAaaW^XwE%raz_GL8NN!uL%b37bV#=YEa^JO9jZGfJ;p
zeAlj~lr#_jNZ`NI5-zs6o|7!Zmi{BcCL=wM&)CNyo1J3zi@{PCmWKm%w_Oy#b2BFo
z=8ZJfC>zMu8FZ<8eer%aGs2OnbnljnOrt7>1(iyXh<3lqLeCwB4jcESl|HwQb`-BM
zWuywBMcvc45@E{-bU0MW;q397#FciQ1VG+tiKf8IjSVkEv~mM-&!?{&5%eSZ+)&EZ
z?r@8_#2^`9zZ2}G2$@rVrf{wF^%bSzdGx7&SmX1(j#i*0TRGy)3FJ>T{A$am-9LP#
zPMl&IPW=FParIzOWGuS_ZFDw>VGJ<K`*zB?LSA#7LUIa_i%2oydRIfV3t>sU6!mDV
zB^x<LC?s6Fxn~A44L9*x?PkX~O3;#F9c7tUjOeo7>E-eEBdFaHQK_IF7339D{T?N{
z6~RBB-B@&#>w##`2BRTW?75N!Nv}9_ZVUv&+|v%tmdV`K<n5JxfmihFid|2wq`qqb
z!?1sAVD2WX?fGYg7bt%^&H0U*5z5I39}ASpE6#MDr{vyvIgqg01mY36sB`@ZRC$?p
zEnNPXTE?Kd*{+wSdpGMw|F=6(qx5AYHK}5Bu!-c$`W3F!-6M_!bN^AZbE=Smc64#Q
zF}?B=1U{r~RAm0X$4yTeHdSYjmMw+0<>RPC4t>vE4~+bBd$>(fC1n?UvGg^sMU-Ps
z@dh_A?Smgk91=M4{)D*mAh3GJm)8~SC)cW1=|N%I?K_-cxCmFS1MeN+zzx4@Q-;iD
zb+1gB#V7U74RU&+I6(}<;2lJ0snm<y1G-$Yc+WT{8`iG@?7lt_VdGsW8YuJJSb1Bk
z)1oVX;jE^1^ut}(hmw*nvr2;`j4WRtqYfh6-T6iRZ;comT`|7Cpf9|9X7;VNs><B=
z$KpJ64*BMM__BJ*OgrjG*dGeKPEZoFWjua31pa``9|V!KU_wvqy@QO2@s`%MOZtB6
zrMt~nI<<KO@b7QEoBz)KpY+=#_f^V5WdJb`xPMxg&3PDWbM4d#9S5o?sP&6G>c2u<
z_=lU3OVbo$q98z?$NVp{nuHl|r>_@ga_0Q%85NGa5=`*(h*A{K>0OTz>X?9?irBVe
zI8U55iZ~U(f0}CiILu_ZMNH7DQ=CdhwnT-!!b@kxX4_f%+mAwM0N8FyFa#0dwOqRX
zcLpa@>+~jUqBf{}+;5=|<`*}6k9KO*JY<kq(eD-kO4OfHvd(AZ15^jRIcRMlNi(Yd
ze3c7@uK^&$kaAQ~Y*E6XQY;5hrO5Jq*Kh{kKC+wPz49Eh^pnI}p8Z<Av}+EK%<Ort
zGm$DhNT0}_=&9~TE8%+=-#8mh<AMY`|BIEct@ztJypB>m!SZYNMnx7^7QE|BviFi@
z!_k`v!WpXk%>8?G?JV+)4t=87z?m^2B^Q&X8a9hMvksEJpL}%lSS8yJ#RdG2!_*>^
zwkTg*@t&U*wRK6~1q7<~ZbMX`eRj9OcP!n6>>;yfL+x8b>Pj(ES;HUFK?b)-cwSkh
z`Mu0MN(MtV(Y^Y6g(E?xol)*Uv<_h&#V(rW_J`aW%Na~8^DE39OoT4tvg%#P3BjBX
z9)MT*3VI=ldlCS|D<`Y`;Vk`mF^|aa`inYYEA`?e!5Kco(`J!27{hg~jglgp9pprp
zMS-d@m>`{&8-?|pr6VR;y1f4%RN{UUCig4=(jD#QN!vt&a|O-WE+TT86RQb~c}$Ff
z*T^y3W#{8!MC>S`%HuX4i&LV32>_Noezjn@8-{C#fJ7co$W)Paz#lrL_Ppk7jtCM7
z@wT1?V+I+y@l>x%e*n?`)q?V_{Xa&8x!bJ^UzngI2)TG~bf~|~M8@wIvHvWrq~H@i
zk_z9Sn<))vImGb#Kh-!*D;<;2#vH^(dmkTrMMNmZzTYdn+T3iwd0o)h7Qc`|m_TLT
z3_6DpB$nU5`EIcns%|U=xK9pm)GJr++efB+BbGp$Y);Zr6S^G73N4$aE5m-c$7(7z
zZ6uxfD>D*l=VMOw|7b%A-LRT=h<~RN5<)wG3i7D}v5>0zq#|hE-Ck%{5&J*xKa1SI
z*#BW6b#CJ^6O~MX)sh4gPI6tgluVWK<xrY(vqVZ2n<v+gB~l`1k<DhJ@I|ZCA)u>d
z6nK1&;b~2O$Zqn$MwP7i+mTztQZh7<0Qvwt3b1K;79am%LfEH4T@)D!{9DSwT-3vN
zA?%R>C#xDy@hXqWLsg><qe@Qw-IgdT9m7H0(dzrZ0p~$EKkd=S7>3Ji7B!t0Phx>0
zB3Hk+k_4(mxb@4)^}DmsZQ_wH{RxL`d9d3reo#z#BG0N22RQv}>$0p#W!F5-sc3Fl
zF&|YrAbm-^jcR>ixjEmAdfvG~%E#qB!;U>ad<M6Tm(O^p;jh<*VMF<1s8Owg9Jc|^
z@G+OsHv)M*bWaYH$cs2Raan)<BPJ8iuRXJ*3$dFa@O551+?V&*A*c(We7ZG#q8n14
zbYE`BbSuI7{CS^wkRP}Jrx=kZt6UVWl2iLX4#TCoAGv(NsYZ=z4MneOIR6}W?>5nw
z6GIKEeCkuWsi1oE@;dkI|G*lAaRiX^FRVc}!rvTIWg=ezfxE^*IqW9u-;?j3!tfB9
zvP{*H3d<Svl)0eXORzfo4<P+ThG+^YY}Me>ioDm<SY|bvg`b{<@97*1KA@9un$2v=
z2UM2c9f%VSl|SzQj{BR^;lvfeD5T9nKa-=@17HJv>*G?&?KPS0F5G8m`AS9)0gva}
z1gdHrde60$nl!40i<XKN*hm<KRPJ7ut!wH2o*9_?W~j)F00Z%`F&(B>Z5-?_U8)&{
z9opX2^#%Y|E)ze%AfS_ZsHhk;8!rt<9kIm11LUAg%wy8DzH_IFc`&~9&JRu8;D5DU
z83Ls?D|;SC&O*K3+f0;P;zS9SQW^kwI4q4|V-WK?KKoI#KKm1s&t>CV9G`cZcfiKb
z^EUh4rGE*I$?j|UwSBMuP-1lw8wu_fxnF&sn8M}Hf+`Y;G~l7-X!x<LKmT#Wf8X*}
zsc^@_he$`-m3@RpM?#r1mA<8|4su`=HFEFMW(`E{jV(jaD{if7fp^gtrSEhR(CmG4
z;yGxZZE;Gi6xeKFtO|GQ-5y$Cp{&S0eQ7k;@1pQh46n?l`?aY_RD|yl_6ATvVaVCN
z_P+(e#GITQ`cacFFHRu^x=c3XB8UqY+?!j|0*Br}AT<uv_@V(6e9Oa2?!C)xeyUnz
zhx<d{E)7Z~GnWV!GznPXVrjd29FfcT+|^`c%Ol6{4_JWctF^UPJ^xd@$E{1^l8xR=
z`e6D#@aV^(og>S6`}QOfrfcp79wLgzrSxMpyBNGBi%PDmLsW52oR=|vO1WrkXdHUD
zI8YKA#ctZ{y*@=EG!UEUoo>Z7X~2MGUh<-2fI*r+HCod&9JhR-!a_1<P&-w+*f=Xa
z-y);FKu!}=mZ)+z-H0NfE!d1dbo*)rb=aM=)DL?1y?8=uFEjtTyt?Kd`*U`y(*3!1
z@5lIwt=Q4^U3b^z7#*#{uvS9t0{`KjqI?~Rh3v;sL+P)^rG0!&v&#k#(*!+m_qe=@
zGt?X`)!w~-ucW0Fv)=1R%Fz=@CEQj1+ytAFUkl<JoliY>AD_dl+`LwESgl@HTxzha
zAt<PJ@N9S0<?Lq?5)ok@_l?A#tK6*EzOto_RKJ`iuPlFl*f8d2T=;Vp>(YA_Blfku
zf!A!;Zrr^rd04p^=q$pXp_E|WHv69a`+f0gJ~cbZ_(`{Ejx6$66*v1t9#s)*epOJ?
z*+R%yN~6P13$fPgDW$ZW7oxT-aPBTOli24jzxDExe&m;hBP}J>Rb;l$u`=JD@cM~?
zL9yE|3gB0?n3$NXt8(=lKDn=wUwpH9!I6deooDA~?-1?7s5j?_;w5b_I8tz(<!#e_
zu5QF`$WB^OZj*QLJfon_DZGxxlWO5GccZ@aZY$9Ti$e!dA3y8gYkY*<PK#fIo87lv
z9))<$=;#=+vwjM{>!UMht5su{CtxbP+)Kut)H<9GF`xUAIGehkpN+kel9nc498@O?
zuVaN218iq)3=CHi?L!QVhada*>=Pb+SnTS;t^RC$>QR9e@3>`9dt&Ztbni-JcJ69s
zmPNhQ({_d7W^{qT?dz(s?*pq`Hp6MH21{BNBaD79r}1ZIX4(NEh~y)X*`)Io7#LgJ
z(!Dhn31~_TjAbG=!s1K|5}PC)$pyp0&fMJZH5IK6(;sTXzoI9*F<BX>-_d>I|Jaqn
zqpkYwIi?Be?TW+*%?~Q+rt0?hgn-#j4Fudkp8jhbN`6c7`}gjts;Y(y2??<pHe5kF
z3JSgiYA)+d;^LHc$70A~Xo=>KPm_y%<m&pFnuZ4L20cC9@dBr1UCR7cC2o~Jzv~%j
zAA^aHCI<&j&p4iTvGtRfVUrssK5wqA(_gDVH;;L0%FdW$mveUvXDKLp*pCn}b8@N!
zTvo?7Zvr-mU}ID8s>?>PDq36TLKvJ4m{E$&e%5h&K%l3owN+J2%+nK_)R>%--?i+?
zlP6aR2$CT9nVFt0QHfgUgwlS1CSh!e<=L#ry#(Wby*;5Ef3Zx(X<L-xPI>n4v4lB_
zsU7T^Qy3V$-y;)yJnpH?d5Q_*2%ORIdBZ}^dOst#T0U64nk=^(^GWkN()Idep1HlL
zyuz%D1iVGPW5ukKb0X3&w>3TZ`w|;i=DM9LfXU2xbJ(Hy*_hDO<Yan5!6Uj5NfzTD
z?GSc};jRaG2MEfiEew`sK_jWCsLTgTazJAx{+X!fv1Fd`L7&FBa>3g4s&ZNjzztxy
zdNcZHvJqaqJNNibwmY_(8<*CH?l&VFTzOP#x44z`jNenYU10WoxX}1qR6oI^Sgb}<
zA+YPS(;M9y@h{Oqf?rk}j&~@p$B(fQ79uvM^_QB{Mtog4J+HLF`pX{uV!YQIU_@9k
zm3l?=z#%1ugD~@8>Df!;DY6Xvkr+V-Grjr-&1tq|hQb6`HWu2kWiW@$?!W!HZ7LJ<
zv~&+5glDHWr+l4r-kiliuH~z0{I+OD`M|9e9j`d`*oJGOBWbOEW=CIQ@HT4u>3)vn
z;j!j83kFTm)d)<Kud<~bOU=&eulMQ~FCN|I>Yqhg<H+ODhYsxae(6U|d-UnD<V)4A
z6|b*ZpLh>&dXs>E47prYKN1$7&RNDf6vV?n`s9n(S<NxRgO_!zNB?4A4EdZq0Ry9S
z+{W_w)2&d3!m%JXCO&&@kB29}#Nanr?R|?P|4LIUyq<Q-p`uv0EG-v(-;s>;_(%Nu
z@O{*FhZ_6ahms7p%d;aX-BMa~iFUf}_b-Y{9N*+v1%uVg?(w{ZYqgY2Ev$d}J$i@K
zC-C^&WoKA@C`P<29$l^6&wJE0Ww|v8Cw;;Aq^2%Sm6yBvdB5Vo^Kbi?om*;!wYlYO
za|erga!KFa7CL?Os4r;y0Q1a-<#r4H>%+|BV({Nw*LKVTYGDq2o`IqsYCPe3(Oa3I
z7<j<?tJR`)+n|#i#YjS)Azf;rro$1acrs@%<cVQtfY3;8Fc07_^(|BUl#D9S_(wft
z$F36f-Tn-DfB|e}xW1TNo@v**=rE*-*70Y9=b-y$jPF%ifBZWg81c5kNjIWT>uYlk
zey{jgrsdM6Rm8~Ivsv-d|L-iE_AJ!Sp7z+uxfiaY?y-<=h8<HMcQQN|h{LUWi_0r8
z=((&l&rJVq;lnS_QU}+Im7l_A3MZ|8_%I`5aQ!aF+pZl=>7UoTuw70D=Eg71Ih3}7
zR_-(hMb3J0D|_ibZGQ*t#toGvRMqAW(KMZD%jcwfzV-RA&5(<$w<y)<o8KHochSqm
z29LjQ!I;$g86`kBoIra099uj2Htyev{NmBwb@U78o5dmL?MxRFcvh|EPgXF7)_299
zQHzSQ8mFAd|Gpce8`}RGT|3ct{KkJ<n2CSaz?Yo=xc?dB-<SRWx|N~tC&w={LBY7{
zGn@IJIXv70UU1O7elZ;+{4bKDMPGYFK2V?7bJzOZamycmocOzsFsw!Y?w%Kq|4tXi
zFV(A5C*xX1_;+Lc-`~1s0O)GUGBUnEcl8O)d*=M*_7|tlXxXW~SfW<?*VewckF~Le
z{Y3z9jvhj)z(9>h4Fe;i5p!f{czCMd>+?=KJs9zY*2CNj!<A~7xD;La2KCB{iV42H
zm$6CNv+H_8Lql(~uqc(6msfx;2erlqXgq+RCkt9AKl&+qbg_9iLyk_BCZhP%)gyM+
z(P<EAXXNG{h<%E?>^$8T-wO#!#r9}bx7~$OhC6qZA!n|;&_rG~hEvgD)UC9(7Y5fJ
zvLo3%4qVB39Tku#ft7Dvy=^QiE^YxlQc|+ADiRX!hS4Crbq@EY1=b;bQZjhN<Iv51
zX=K<MhwH4~KT;B9LvUPJTdu{mSQ@F?S^wmb(~%^em6xaRGflp?z^Iwm&E-X#MxNeF
z<cG0*E~-I6LB*~2@80e1%Qq-~@*Qh`oTx@YQ!~oCW*-Gqelh_2lnxDB&{^GEZL?^N
z;bOil47r&<t2Rfn;DF#q%p`P6KF+ST^0aF`@Wtl9sKs(U7XyUE05~6h>g!Xt8Yq%X
z5)V+7lk*?8fYxgY?5~AD-X|aABhoW5DNfV}sM*>UU}0gc!MVc>h~Ai^Ti8EQdA)EU
z=RwK9lwn=Elw|`Qe8#3K^fd)0Z~a5fo~WRppk}do7&mJEwxsh)<1IEwfNF^s&;?3R
zWo6}1ucfQY<X|=^g4(}INNBWb^;~wubyb#}-&H+8;GhhUH}%QmIiAJ=!(1k?kePNS
zOZNPMH=4FYvCR!vmV(ug+TN}p`AAC2C(d#FV%1uwv@>K$46Xjgplr{1%uxmSmOk&_
z7m|z?ngn!qcCJAl>1{5q{wQ*9veUUe*%~Yh{e|^(CY@nzanQ-$605-?SOYid=rjXh
zzTJQTFElPL7bYxIyAriClN3PKO5=r*TPGz!RPHSA@3y;PHdJOa*OBA}3A0JSh9>yo
zo^~*;+s<s-bvE<R3Wud!_x+vOZZ%yMBcqg-au}In*KOOB)YME!xb^Y#>n^jIC~{gg
z_Uf&+n+^Wm5}o$u%~|_}0Tp_Bdd({5b+)C=ACW9OKn<Gx?VE`GY^Uh{?xvcva|IYy
zpU~5J2K6|x{BD|XchBi$T2T=ZQ<xnvr4&%84SVe~FJH>+Ll%j<9MK|nZF>}(#no%q
zQh{oAfGnEZKJ)9>uSLc!*Q0HkA(?%5bZ~Ft9u<|Kjg8GfiB)uK9G^?<(&_4VWIBJc
zboZNbG3X_sL5ST5AfR?@Gm2<Vt~ZQ9wT#eHL$w#7$-jQ-4SO8!2PZ3~$!XL#QfYaU
z4FJ_)XRoeDPR+skr;0I8QnFSmFO1Bj3$ssjUH`m=DY=S=mw;>ldvuR8@F%ib^xOdx
zY$hWu4l$P5%)4$wr)B{D?-5wF>+7ES$XA^}_?W%2V(Ul3A_iUOc3w+I%rRIaeOhgn
z>=sR-^qLiR8OY}3TWO%F*j=m)3kpgAUc+9;0AVkj?tx;9Za6(5Um}wL@_@~DQUbO`
z>d2A@ur&rJ1J3Ipd7<yZNLA&?wD_-!Yck#4V4A8ZD13y08Q{B403!*1&B63=J1oZ7
zyH2;p_84>zgZCxay_Nkm0av!hvuAlNhc|66Y~Jwlk8Ck^JJ_BMrVVK{B){eL4Aa)}
zJ3x0r&RL4t&(v992h6sCqmEwv3+eg3{MrYRGM<fw%=|#0h~9#R`;G4X<`4s6ibqNL
z)D^J8dJKR&S8TM}&9AJCb7Ezx*;Aib423GuXO8p*`FI`p`g+Q@x3|S$!a6dPZcP9b
zR?i<?fxUKkbe%x}pRuy4s%Cuv8P^lL#i4%W!>?~ISuNh8r*E8r1#L6aP8Ge0q*^5b
zyj)$fWQb*5NN})kax!h2J5J5+@X}@I34%h0699gSVF?L|XLDK?EDf9T5njWi#_uf)
zd)1d(_CJY`p)&xUV4MH|uNy>O1;-Zb+6TVz?mLa}uNZ9L+HFdYy?mtgHHZ64>lM0N
z?6!_pNC#j``2quX{crx`HN|lMKF76tTBdi@^S(I3Ncdq=IDSE%0^6d6*Y<)MwU+=R
z+;bk6!tydH`wwS%7L!(18M=^sk3;w9^2sX??Xv+^duz+_=B-<gJ;?F#6JMUeY<h6{
z=FOWKuq}HG#>U2^WMsO4)pC8w<M45Cb^rs2#GmZVZSZwYQ4uR7!4J%r=A#xgB|BkU
zt-}AQ|MqPLkj;uJYXF;78Jg`ppI_ev;~s4QyQb4^b2tsa%Vgjc>&}Pay|Ab`c_}C;
za>vKVonuK~(zmmysD-=2d6|dTnxu3npm4R(N{_~C14Pi;50<tWnBXWT1J4$>VBxYe
zT%QvY6NQj-|M>U!h;EDJv=IWoQ@iy2Dnph4vajR~V_}}&Aoi8T#Kim{>pD;vqq`%b
z?tAVCX2;jgmY$A$KnRlv29bW1oII!23l|NUWd+-peo*uC>jc|PHsGQAU|SNxB5#f5
z8EjeV&ia6)nnmXW7P4d~P*{gXMw)F#LCRi(B|91pesi#=WS<h4J}|^u=Cw6#wq$4I
z<I}EmSn3hR<x2)!XRS@Hmji*dj8Uv+iJ)zoEZMU@eta0s@w5m1sU{a5dsn-nsBZk+
zFRYhwwIJmz`U{Mr*sY>kHZU=M-SG*$_j~4bz!WL9c>Nt02@Uo;_vq;rvs81);s#ef
z^mUJF5fTygavlQISurUi14A%vj&4nL-R2ERIM4U;>Vynb$1=b#K(C|it<R=DY*W_O
zP^Ic!!!9)%S}A;va+l4D#v^VRYx`kb80WIcW!0A_n30j;3=3@GcOWw8McwI&G%(sy
zu!-`l%crjGkKuZ>lRo{NkQVQ*iO==M<*Y3Zkne_p%7};{<^vpIxhhYx)9L=y$saD_
z;`YMtel4r(>nGUz!~DN--}@u(wOVs{;Nms?A=i!toFo+^gT+6q-CQKqDhN=so!@`=
zfn!WrQ*&-PTHuSeE1!~mcdj;%q#FBahi}Z*jpks>Xcn0!ELHEysi>%+0=m_?{WM!I
zb$QiHw!^gao5UlcE-W}W5qP3C{I2&eSqkHf`R(2G@>h?d)EUlxMfR0++ZIP!S~{mZ
z<6w#Ry<(D>Wbn27I@yzxhPD^J;J64mM<V(!J6i^*UGsR1xAg!`)Ip;jPVUgKOpvDi
zEr@y@j!3~U)yP~j|99sHrs;+1xQq(((dsI&%Zi_l@`r_o50Ei}Jp;_WU8%C9!>B>4
zo<AVO(D`$B$i*A)=6VTCF3+8wgv0mRT-K+aGNNl-Z#Y)G$a<1t!30}<aJIehbh4T2
zGB$SiJ3Jb)0~2~`9O4HLX~cXLz^tH!W>bht+-I?yQIPDk_*9kZ<Aa6XDt|s*1giHO
zCMF{rTQ|3Lf8f@7udbSkN|^l~$UDta>)7G#kdTn>3VVyYy46~+a!Yu06cxvo@3V@p
zf)6DZ475St&HtsprH|(lc2h5GV=#NJbJ-??OQ{&3vZD=vAXU-KEQ7*%h6+)&M0eCb
zHh;MPxL#m)o@HU6SQ^%Pse8oPx!T_6rcP&F;3H>Xgk3AG*<Xl?{u3hXNTb^}#xd$T
zv5eOVaG6Gih7!T}`1siqlUGI>K0NO$voQc~N$;2kpYvKEEttHL&!=097Xu`5PAS(<
z^y&Ntxuguf7~p<R?&?wo>js%kQVwfGz#)ruX2uk~2fE0-))RXNj7T={9PO`sr~w;0
z2=ul`hR5N-K!MTwmTh5S;bO?n<vZA#xXy#h2BU{2q!DK224biJ_NXEtov;0=r_^2L
zZ;KcB1hzXp1A`Ro@e+SbOiaW$jpDRP1k}eQz<$pH-1MfF78Q5*YQS{NfaaBLc%9dJ
z{mDcs7;Lj7SV&UAu=b3}3tbH;NJ+DTXv8(A<-sBcc<av26lwddWqtd(E=gUt^)N8q
zQggK{=fH_v%;gc!@5TxWJx8NZ4Em%bB=qW@R@ujx7&11C9vNt3=7c<X-V~Zk>odfN
z3kwl32O0_O$1#%UVg;tItkP*%V-sjDu<nw=@9XA*l?(+k^t`-U$XTH$=dt~tanbd;
zZfW2_W}l|^T4t|~tKGQ)wxJkaXY<)}=ga_7U9;Ra1)jbRy8SjStw=17gDTkVi<L|K
z(c6C4**YQDxd`y@K~U)cRk!kBiPbvfF(alX%7aN#EqvBvtwY>-wS@yYn1J_5J|Q8&
zyuTnNI3$G4arqb88P{!Rt)p_OIt!!(!>wE5P^ZKkDTC;V^Vrwzw5QL{HBmAbJ1prK
znV1av!V}tlGlgZn57gJ!cb<-Q01=)6CxnHea;3YPMeX3`TAK`!&xA4!RBr^IO9`k<
z)lWJ(fEElVBALxmkD65Z_*@uio!<R3&|fG=kyN7~2OH0p^A-a`Q|bjtoG~j`J}+-?
zZ-(2q+rfqk1HV~k=OfT-jC6EjuQ73Zmd9$XDC)x-s6GdLn$F{Ipn8#Yj>J>nafj~Y
re7$vl<HT3+|N20B?Cbh3Jau0{6|heRDDS8uZITp~6Ui0Qd-dM{i8@Yk

diff --git a/devel/_images/multiple-comparison_multiple-comparison_examples_26_0.png b/devel/_images/multiple-comparison_multiple-comparison_examples_26_0.png
index 84e224a266396755ca25d1dfa36745f2b0538178..cb91879059780bec8cd445e9ac98f07dfde43959 100644
GIT binary patch
literal 52856
zcmbrmbzD|k*EM|6-AYKeNP~1Y9tjbpQ&PIS6zN8!Lje_#PU-FxN$KvEu6J$m+|T{K
zU;Xj%JLll>y7t;@ueIi!V~#QB4tb^|hlTzC9R`D8J&~7w4uc_4!(i~LsL0@NPCI@M
zfL{VmG8#^*wx&+5h7Kk$MMEb$D_bY4*RQBtOdK3v+uCrm39xaoP?<Y9**OZbvs?e?
z3v9LyX6)2T2$NtCG&^}sM;Hvp5c(G`N9^ls7_5KgiL}HEx76(!cdz@S*J3y0^_tXZ
z)O3g(EdNm9zAz>j!3mYVha@8%=E)o!s;%7?>Z6r#@|ChZ>eaV`w=d4s+6&YWnNTSs
zerX{Z6U0zaqrXE9grT9~$~)}sMe%c1_fB&=nh9_pd5BVYzt~OdOWWz|bI&*x=p@2K
z_NSux_lGNFZWrr+{@2wAH#Yd+ABA=*I=p{>l0qfq|GkKY>%M=q^uIsGkC3TD{=KH_
z1*Rnazt_a%62GJS&qb=7s89aAM*7P?<(>%JF7x87ZzXE0TF68xqtntBHofU$NqVVb
zt~IbjwmTi<jm6@nXfCTO$R1tNw;V}y8Q>NQp2xTuQid3JaQ*$XgbaT&Y9+eMM~^LN
zJ5up~?(pjW_oIY(+}a(j_Pgy?uNB)b$v)=g&HVTg#y8_c&=En(`1@2wMkXgG=b5hQ
zLQ4QKua!p1;LY`(uhDFs``N`-(ZbQW-Dd9B#Ymyurb)Am0$26Fi`2CM|Ayf)56@&h
zi8S81m$<jL$b$z;RK(?;mLuoaK6G^J*d(%_EhE0E7j=}s{u!N`8h)_UNz2NL#jIY~
z7EZ!lY&$2akS55pD(G`_l#x|g$-8|d6@+aFrqR{c*S7IBV|KN+J&b6n;c{2%t5O=r
z>tQ-rQ>jTWhe^-9tAi-twss=@d^6X7=kw`pGZi+aXs}UdBrICEMk?K9|0Cra@uuB=
z+}Om#@bYqO^KrKRV&{vu64nRf9UZbd4&C$<RkoC~K9|<_2npd~7M7Owqc7DzWoE)N
ztL2O9>7^H9d7Q5#aC)9tO}i~coXza{j32ryDq?knllZ@Thgf$y>$(1`f*EEo*WjJV
zZ%+f8Z^aRl_VB3rGWRVn?}I3OLBb%)^0M)FkN<PC2X|KX*MA6-iF&~{HppXQW6_(;
zP8slI;-crJRNrq0a0Gw(!aydX6-2-oNzKhI$Ag<YtuJjp@J^@RgU4lWHsZ;9h6+R~
zI4W9Ngr8rPJFidYqGZAd7Yb{4hifcgO+tHh2(a&)dEb6{-87?6&hIa@e!twU)rOCT
z4OLjGPusO(K__B=A&9aPk?!xw@0tN?xVf1Zlbjs*`?o?ZUy%IESDBO%5r<}y4D@hJ
zOgnb#Lq22z4im*z^8Exq^L1+pVH^(2UB!EGgAHek7`miohONkPA3iLU|5TE?y}9PO
zEiA?SYf07mRJh_)L+?gLPF!r!W4@hviI&@D1a@=~m|IvpHcm_Crgq((MuV-7ep8=t
zO%rmJy*$||u^ea9CCxIHxY;%n`}w=J$IQcLd~K1%+GK9JE=roqh=i_`vX}bK*w$7Z
zh%tGUrI$__C+g^>ce50f2r!W|XT{2=)gPl!Z*6YE9=kS1(us(OEWYC|0S|)Mo4_tt
z>#}3F@j1cbLf3>$UZgQ4jdjd+rn|2A|1x}sgND9-lt0R~yn@vYWz2S}QyMb7&)Kz)
zvB_s@9v+_EV-m5sN~PX-*47_ca`x@_)y>m&7${J%zdIV}eH3_*_QyNKX{u5MM|fI1
zb6!St7>?!q?#Y0E#b)J^ouh&L-wvaijQ4S>I9M}P)ge5iotP>C69su0RaM+K;;<lW
za*5~9rP@s5F2hj!CAu^;gPfh6yZS~%iMPdW4sc)#1jEu7Gx_=X#dC<6W@dS4$O|<o
zb`RONv#dg&e%p6Cz<x27W`54XCqlv<cJVRCHZnq6*2Um|Tg?uK^~!7N*cg>l?0$id
zj2T{BeqBrKyK{|{a#0i!{5Dz1<U%e6OC1sGGqrqySfpRhT|W$#->}7yfLm}_c8~GG
z$-{E;h2CgBt<3yh-t&c(_OBl;4O*pIPBKeJgPm=c4Yo9>imJxreO8bsV8wX;+cgM>
zvT(ySBz){1>f**Cd0ubd`FBi3INtHQgQRj5NiGzquIEmo`c*FqgI$;?OD-dVxsW(W
zXg4vi+VM6#G*raJmIe<-F40vsC`u~g@w;jG^HY`Q&xa4)t*u#C2hzf_v*{F4`Ab%g
zdV2l==T&B>VP<H^54fA4Yu%iuY}JS)BqVM-73085HN+2|?o0)Z>v>{nYHAX5n}(0g
zP;-rZ2~94>?0P0PLecpp^g&qVUq3Xxx&DJTQPlg9p4WjpnTW?dB3&o6!s=DzRPPht
zg^7|ZFzRg(7U|ezeUdcHDI6^+F)>(<()-@eFN&?l<N8tm<0YkKWROhzlLK~VYO7ep
z%m&C<w8~MV#BTT*6qD~&HY_f_A`^DQ1>@tDmX&4Q*qE9!P<ZW2OuNo`e_sq`=CGOO
zhxHTudZDhq1lGF5Ns=^EKJOJGRRx>eU4S{UL`N*i%|w3b%ozPXJzT=wK|%Q9WXkqq
ze*V1#U0%G?nN#gEFYBs}%RT0yAzXJ!JeqGC$>f*$Wdki+MU9bW8Qz58uuB;k(W0ZH
z+wIk#RwAOvggCXU>G+(lboKPK)VUw+@7C_Y!<2+}9#8vR?(narI+pLD#xy$&zsJ&z
zyj!$w`lGfi?Mf?Tm_qXJvSJt=EY<0`-h>$`Z+<HZ<rRUx_c485-U$NC<3yN*fI;U?
zFFTGh1*w1oF*4SJw?ULX_k7QLGxpnwzS%EIBY?jP*T22s>+0Q#OcQEst#kM7_@YSq
zV`3s0k9MF%<g`!ntI|TZsgO(D;;6bl^w~32RsZd6vT!nYiZ4p__mh&y15U4}Y+VhS
z-!{Hl>Nw_i$i@~BNaJ)^emL#)v)^#5dNZ#V2E!n%i#$Kd=rqf?#z4V-VK|mQXE^=6
zm!|M`?)C-|N7#;i_xqCi_uU#&ZBgILo$-V1GRL86M>axMt+B&%u+jG2^jY>Gye?I*
ztyXyXY)^33-CQuAt!I4zfr<V3^XK-zUVmNcApL4E-y~t}bM!f3)v)>Px!cKPHS~p9
z_cg`sUljxa0bdsfeSPqNW4OIq!)MVvWINfO^k3?XqUGi$@V-20<r&wBqL%tKP*(c-
zCo;IlHxS$V`8|F=tZ~{1&CJ9&ILc6#v9QS7FX0U>q@sgilJVpEUT^6ev7NRND9?v5
zrUzeKU!5QET<^NCr3D=g2r2)Z!__o-rpMs$^Zm<OW7lr^=8wWV++75Jj5MYqE<{d>
zi6Ckqoug??+}PCAamL|vcV>O6Dr0D_?&R0pGZmFcRb>(KG@-T3!a_pJF|Wwm>$%%z
zaM<lmXSiE#zEoBcx=wRqr3soWErzknxS!kPYaQD{&#Nqa@EEKt;qNW=;DaT``4roK
z_PZI|`Mu6K(!E`5QjWb&CcnC^e?pl*ItStDq0`1Nl8~!Uknh!!b-rfV1NMfq+o4ZV
zL5Y|9D+wtaj;p%n=H^Z3Yx;gRGfFM-tSJYljg4<!e!GcqKf0k5blIL*wFTg2UcE6n
zGD|LMq48!*n2wH)ius%B$Q=JtIQ9PJ^~863-4v?q;d<}en}6aG_GF_dMBrfhzSsAa
zQu%){;JRI%*<T$d{8V{<$b*i4v9$TEsPzp3%Ki^I<`S133*oDMqlb^sDYf<^`1INX
zv9_Rjr@F6d?q8<Jsiq2@4!T_*t4Ak{lN0Ij6YflXH3YY@n!TbQE6|==ts-LeKyh5{
zllAaGzS(LVkWo`(w3@2CUsQL<#cQJzWR{T@l%1WO*!fGo27umsY|VSEeVL+ol+Qyw
zW!Ij@R4U&&gdZVF!h(;)rYZ$z*MArlziM~rOTT{j&p!<v`wM2D^c!#TNCE)n@zn@4
z1~%_=l%l_o<~rLp=;Oj#<FfN>^|G||xsLa-Gk_YNTB4qtxs3a>o_q6=LN?7KxmB+Y
zmo4F7%?7x@uULBBocr$g^GyvE>HEUO6%~1I8gKWgjZIzJFxczf73$Vj<Zrd&sL#j9
z`Gh6tC5Mr4@2bwMiBtLAo@dBC17Y}Uh7UHaZ0gM6%+cU2T2bT8BR#hTP2v3}DeIfv
zrZ)&(gX~Qh>{q~wUYWtUtPjC?U)-DTW#{`;Qi2x}5`u~dKT-agHV~UU@_1|fRcoL#
ztAso~|D+%;1baVbFI(z3{h)W-Zx*9sVuFi^fYWgv9sRyj$>es}-Dx+bX_n=ES<c&7
z582b%;#_pb+}HlKrwMGbN=jx|JGQogCR`MvS3jo-=Dbf?Z_YYzWqf?}uQrqitEwsV
zypL}UXY0h4z~Z%3jL+g8@e@BeYI`i5U6^BwZK_P{HyzD3uFLh@%9j3b$mCQ?baPtn
zQu)4Bs836bx!BLA-zsuC9RQrj{N^{tR|Bb&583C)PxxYL%o!ONUM;pU{}>s07eU&}
zSo(UrP{gKsC6YHo*KI)q)<2mjb~(wznsMnRs$<tI1M?#ns;q)w;%!?Dt(@JIwQD7s
zIDAtgr;*CDAxcW`a;{ZT-{aAQoSX^&vH`)biZFbbP0a?O(|UBs?PcSAyv~-orAU2r
zB&z#TftV2VDYn)=YU`V-^7XH&(b935Tv;Ff%*<<bmT58xA|Ew9JrV+P>e%7r;mXq(
z5dJoP?pgfQZTR?6jIH79`N-(#BJkgI+pdfX-)UH2x$^(~W6>RMRUj3V;i1E(cg2>R
zoXla=VcP;fJg$H1=(L>}fFq_u?SvWLrXWv4aPPRkIp@lX35AW}58TL{NaZ?M=NX^&
zLnA0`+8oU=>WybFvDQYbw3&J9I(ID;&!+oU>}tUmm|RZ$3b5O^e6wy?w-@7#XE&E3
z{4U!XDaTAp(v@St_KW*!x3^ajQ?9NW43|_M%~j})kL%mQ!K`L#knZ32Z1GuY3n9oU
zER+RsOhbKhtkU)t8OGtZKUBQ;tI9U&<{AUC_U+mFZ;Djx0s{0F2JFeyQh^K5es)A`
z*#UoFWh{hE?!gd<NfO9oDT)Fc86VFA#}T;X@1MhtVrZSgtk6@v4w<_8ckm5oqz-N_
z!=7o?kQ3<(H}t!LSRgx{j=}aFHH`3@T<rFI^!xnVFb?A`j#QUl8-{O2fu*3sicS01
zG^%W@Cp_>82ueIpl@vQ$P(jk0L<c;>5C!?pEan|l8*Y9=5LF3adS)gk>k`J;=qNb2
zjRrq58<#>DZ^T%%oUmhKV}}5Cs@<)@nyRvul8_J!CkIa;XiP&*4F@26JJ@9qm))N6
zl-F{=fZv3{hKDnK$0sHx4wHs;&t_b23v1Yqk2?Vxy0`|<2g9`=CY}EZ%PCEzVP<At
zTo$ny;5Wj>$Hy-=Y!w8V*gdQ1@7P~che<Ux)1W6~(Qmj1nOR=mqaR=<)KWg^;S>T6
z%bjx(!n@g}X#lRGU9$aZxZYIf{!uXXM5A)s8`voOf~~J7T6Z_o!$%MNYj=}>;MWxt
zh+x9pRz4)~>=aFcyq`;4m8vUW?rtrJ><`<rHa0fCuccq^pRZ*Y&Nb9OWS)8hHuYf7
z*Ee)$s%l~QDLcr;#6Z9hy|P1!XV<s*#mm&(1JEi#y{Bcbyj5+w6RfG(ABD!pcfRQj
zZ!c3hGSvs?d-r~Ks_T1)EOl;`xF3Cq&u?$`PwDiTE;iJC+F`bJK=t8T#A)52&6#<M
zlBtPQ@zpCDkm<?lxXwi6<o$|@ARRZFEImDdOc;#KVK$I4mG8LHqs&t<XGKO3`%tO<
z^UFjIU#u^U^(2kjl~_OLX2a2r#y<j7zN`4x#iW6dJ=!IFkTbX@Wnodvo53{mQQLJ;
z&Fg%HLA6SbgxS6~zGzWPSwiB7WuBC;5a)7tqQvNIHKjoQ$rFje^!mjM^7d%zR>(O6
z2#O*XN!A=qZ3Yhmp&_)cZg--10RwCt#m=t^%byW~tgPgWX>ma!o;@YLz9thMA9nVp
zs>H`#R+gPQ0*Lg&A^$#8d)idvY-xYxCgPV7SuxD2O$ZKY`={^a=w<O%Se7K;?y?Im
z+&fZc*`QQe_+r-cR{Tl#I9}uBc%x`@q3#^DhzLTx=Nf`|Z~k}+pRGmNHZV2FY!qh3
z?3WlmdS5;UKK$tHWU91yZ)<BS06q@f9r^IE#^`wS<=J8wk9EW4)SRB=UFtu@#cNa-
zx7`tdaf{qIH)qPy11#9^`oj4k)A<AFLVSWL7ygFj*ryQYgc1@1j)}wbNb=7b4PH#c
zKY!W-;D%w{8A8Cg4*+POx1PQ)W@jY14A@n#hE<Na>?i8fz;*_Oj~W5Y)1R0d85?_b
zd15WuXi4YN$uOMDgxmJBUFbzZ(vdxh?26gbDK6Q&0KRFQ?&j2={L*bRxARB6Cr+x*
z1xZ);MmQivK9&C_1zRZ#($&6H0gUeMeu<IWi=v|;U=R?t*q?DV;a`dK0@$S`?`6iq
zwBukW$oY(aRhpWZEX2rBwEE)=w8Sxu8@2_P{U}@OHaF*gQ}22D>gN|M{+;qSiQH=f
zqsL(Mt5aXGw@KW4Ew(;K%;6Lw$hx&ItpHS&*e`i3uQ+%9-f$(YoIyarmITk6_YLRM
z$B&ePPU}O5GxN=@`!|<+6<4k~TZNYbY6TaV%xWyHg}Orat4Xc)^G$H~h;Au?_qUt#
zZY0=c^9Gm-Bo+PZKe8Avj+vzs*mUi;CsY7TB*7-*_p>ajFIf==s1t?TY!<=`@Z-9!
z^aG-oWY9D~m^!#Vy$?VD0$cU+^Q%?9Tk>1DVL!kSrt!WU$%({*hy6|Nl%7fbSzd6w
zl!QGlcU+f#{~T-r>{Bzy9qi}D9c}9d(u9^`pR%=oP}hq9{y;k(<c%UXzrPagUmf|j
zfUiMMpX%_Bt?=)m+o1e>r7y_TaPz5-vag!o20+VSVl$)Vb<qAG`%9&ijSX8zL@lOK
zryfmtI`;taI|zmnvLr^aH)urE)CevE6M-<7&p}wqOSAE@yy}!=nAh>>YJA~D=$MhX
zY;u7Rh_QpBLPQuuH&`Ho<J&e=<1#Vj5<fOawW+gz1pI0Am!0p|C$%L$*F+O_?gYSL
z2Zx7auTPc{+0^bR0fMfw{}9Tx8oV*~S5q(!RuV`LGH$O(fdd4AC$#&0Q7e6dPTr0<
zaTAeM8qTJ~%a;{)TX_5DeyORL>U&vfYH=?XU3*`BWfv1H6zd>d)hd>uBaN4!x%>~=
zX~PzTg~ez$-=t@3<|_3(_PXo^LGBZU-&rM`2B)T|1Wfup*D{Em@92h^7<ISd7;DJ>
zQb{q|fQHTf`LV9AxH&}18OlBC6#kQf2g@q~FR>9fe`;u|LOE)(OOnRkZqR;bA=1(=
zfKz>lE#vLT;o0I>9Nxu7!jvdt2n)SfohUc?_e+QK+Y{3Ek2X{MRn8|TUa0uz)ev+&
zQSJcu(ItsieDjfdi~28_5sL;OHM0EvB}chj=l3xc9j$<`VXhxbccpvHsyDh5HAjL-
zKKvbb*&MLDbZ-`iAN6UKRzN`N(Uy|ISZu*Vwt~{vy?;4`;KfcVx|sfCcnM+MIw|KQ
z0m_6=Ot|IdVgG&}4oK~oesD_PnTQ8od^+I=f7B?K`FHXi;0e1-Uvk1nYbE?kxx`|D
zS@QNiQRa0L_&af$Ne<K}#$^)jNnH_m2HUYQZ^0i4t^ckuUQ7uHfTfym=Yo=Cyk8_#
zn>mT%Uy1(DDtBpsRel1fBM7nL#^X)W(;}5IVv4KGk)>3I|DEbXpAZ*Y7#<Jv|J_QO
zir=y9Dla@weWEh1tt2Pba&vQ`#9bvT)UKb054h%&8sDY7Z)^y#x}$+h!#V4TV(iAN
z6(@xx2Mn8rbKaRoiQP`B>|P$Ew;ENo$r7wVcRL|h%jbVL2QmisA|bY#_1Jh{;Ac=R
z$MRcx*&Blaw(10#!+kU~G+rBOcXIz|HnqBX^g*v0LQl(0ZP8vu<qnV|ZO=ZvTh@F2
zjg{~>7yc@ZIN2_eRJ4OFtf6e|MRFPpi@=d{fb7Bxm@(u|0<lGYekq`Rg*#mFmk28!
zWWL*GGPCI5hk;+jqg!cl!8*Gqf-%zw(^2$)9^~{Q5<IutzwmuR5RCZ&(B;kkL57zn
zw$F5RXI5(gGY-fKqIm%5_#QF)iUVB5X+DHI?R8`g*f;mXk)gs_S~+aX^F1b28#ow?
z21nz{?T1@rzs6f{v>In2G#G@@KmyE~uTxD{>$>-La7}Km0SO`}0IiY3J9Ru^6lHLJ
z_}Oi%;B>#p*ZZySjU(ryM<)h-i6v({wv?RP6Vb=S@0>n;5yw>~+5>{YK&J`uhm3x7
z9y}F9fG^x?+)%)2F8AtCaDYyj?ZG(Z3oLPXzoHHPt7DYUSdzSt9|OAZc>mlB@BklI
zjsQ;wGR3K9n&$|CIAR!U>7JsH8&Vcy?f6yk?VwYv!4FUbSQ{H8iCim$SJ!*CFqqFt
znWgp^r`!HBSW|<yXNlMObIb>ivsbub^2&p-q0|Tg$JH5-jEh{Hur_^8(2E32KNJvl
z8+{o}`_8Zm>kc=It#6koZ;AAM>yZF;qYrUXF&{>|<BX)o3~`48fH9Tl^2;4c?buu8
z<t&`}OG{HHK2d^>fzk^=TYz+Q{BUn`(;{E@Qs887E^5m5mfquJd-QN7D@ybo0!rRK
zh!0Sh)E2#MXSV_Rhgj!(Wzo>a>m5a7W8?YN6x&t+is7g>+qeM%-9FzeMeEaO(Ch`l
zBfgo(SbTF{qyPyR=YWi3KB2LW-1p{)lGEY^o`Zv6)p>1cDY@JEN&t`^zTNmsK0lbM
zhcm9rBZiYN=mlpgz?{KdmCF1F;U7Z|$<3MgIZW>XXd{jC^*tzuGi(i9>f;WoVyW`J
z<ON~FRLAS!4B~1b=g(GaMbp#cGCyTIIu|B`2oDED4l%$x)I-kdSCw+BBA=p^loW#K
zbvggGZBhM+EHagDU{W+&-1~H^bq8r_z2>{^cgS049qdRI7_7Le{qp4j#NmN>_|^V$
zhi^&QH#rR2S!f5uj}oH`xEb$*Gl>WT>`s}9m3%!=I0AnCYVGRoZU(kWd{WP)v;ts2
zYXdWjFi+te!#M})hNS-?S4>KJzE;fcU)N>xl3VGwI1mLG1fXZHmN7Mz3nvpm2Z1k<
zb4jT$<5n1C;%oM2c33cj(Y(Q8i%~O`+lGb)(Ov6jK3lbW4ebE9e%q)LbY3KmwrQox
z#-Km*1`Zqrpv?dr@oXjk)9`^R;j_*ViePz{J~~F|oL31PkNkwerYd=&Jk#Ujkzp!~
z?>L`pX$ivSua3g@*Rzx@E~dtGtGdbg8M2?=2ifU+0_2aDrWPrKwZ_>KT)A(#en^?S
zd;$NpfBoU}l$7+nkk}`M9ff!6NF#zxS%?Hf^dTGfYVuqCxE#-_k5<&WcS?(kDt*O9
zO})^09OOIqZM<9l>C@IqYkG4ltC8}VWl>DY8VwZ*Y|)gL@2cOUEdH>+=5#$2XG!Os
zK7`RRdQj1Pea6*2IuUbsvd1uhSL2|TaZWOjM2F9Ha3%HGDhPo2N%$ipm}5&~6Wcw2
zG8)kfbCZcfKs15`!1hQp2s;TRyB&aqXpJB2T89C;|B8CMwyjNCA=T~v$<9<5a9B}z
z2r+X$wFp487-=wC=HHIoaX|B-3_RWr{upr}0&SVn^ASE25Ij&xMKhnuqJxM%xIhcJ
zZ(*9~m>~c0Ta25Fb+}S-3r0k)Lzd~h^+%6-rW78lYI_o=@cD*-%!`^f3*n1$W9>?<
z9ECe36d?em=DW00H7711;S0#G`5?-Z1;AQMIv-QtBPz1c^y!K=oT#*B-mO1P03=?s
zyn;g8M+qqo;8uTcI&%S2Tgr-3qhVq~tFG3C!PIq~u^{Yz)L#YMvbEb<8s7m(0vE!$
zk!hK~5rEuNMNKUbP$@>c(@0%Cu|kPY4}cJ@0G*Yt*8p7@yzt>=9EMKJ;dgP_^v4n%
z8jyPhhRJ%Xq@*OfHc*|&fA9!MbBe&SEqh&|^e91JFSu$}E7<q;l7L0K64A#OzO>BI
zu7kwi{^p#hT=Nt%N1$l{tjx!2JNxd-7X~OYLcBN-D1}cZZWjZH(%XY53)=wTg~31~
zAm!m982kSH!HDYMtBv9Ivw45t#h=PyQ05G9DgXKMERZts5092o0#Z_&i7<a9(V8{p
z<!Nb`A@(mH!3hYERPHTZ99k&&dOG&4tSV7-DabqA*X*H+N%((4cKD1qbk+0>7e6M5
z-K`W!LgLt0ZfM>bNycvQ|3LWTrtt7$ssN_@vLuc3FN&G%pvr!F7uFwy@x3&d*|nH5
zOIKs?K<y8Pz{(^6vRx($w4Trp(Nf!Ewih~D_j$ir+IVo85+0ZEOh9Y@_opsILOy|s
zt)L~JUb|Ja=q_*kmF}E4e`<e7ayJGIO_ZUl713*S!~-CZjhd`_>6m(sTmAdtAt5rg
zuCc0&VhY<t%+)hbvXn;_EWiH!l!nHo)8)gR7mhi7jP#bQ?ERm6lQ9w-M~Ts7k?0nJ
z@EMaDo%D4{H?mG<3@zerZkbQy<zcW?etR;&Mey2U#nh(qtKc+^KOb0Zr^*h)?CF)Z
z@hG)O*ak?II4<G!f?5ngm*}UvbyJ}ON8(q-Q#sukYM8i#1G<;!$tsNi61?bRp6;{?
zQcPq#)W@G1ZXRxKMSaw*bvnDolzbkH*oXsUKWR(`CdkxwD@Fp>-^pejmbvdhumms0
z2_$5QFxEHnG@3xn2T`DwPbzpW!w;Lh^hcp?vf-97?yw1Trcd6%8O~S$KQ^EK<Gjx_
zi$jay@q=GkSv;h7Xq2vN?Fi`Cq$DJoK;<p>bPT3BJO}6OF`1wfVkwT{<|$*--YIGN
z%Rb<2A>Rm?I}mi6?HehX-oO}%KjrZMebDMRb9+H^g95nnN}$dnIXN^t8+pS&+7v|W
z&j6QVZcXBWqnVSJcf5_nCPZSIwfYVu#mg>S!nTmST^9)wyOb_2(h6;c$FGpycg<*Y
zJYm;NuY!)79)!2CjFTgNVG%qidHZD9hGi)`L19oE+T5Ze5MQPBXaz}~Rhw!=fA_qT
zt)|v31kWt5FQNJ<@l#UjKS*VN^-bF1@b`LLqIb6pPl}c%eDBP=IY#i{<rqchCnKyb
zi-dQ5Bhuh_JU5jLRpXEY*?aZ1batdk>LT^lQ9PJw*Ea}vC-#-8FrInm<l44n++OSU
z*+g-L4|bq4#MG9As|p+Y%tFxF9S?wdLY22Ja}@kE<#ps`Dq)dn^u1?R`3Csaq`my@
zQojW(I`2jegGLq4{+RYa$TW*^=Y$v)@t|oqws<f9!E&QB^6HzcSDo+gE6|v|!VOvE
ze8^4!a+kb8J)yrV1Z5oEnI=SeB}Tj!KWw7P#7b?wD&?DX8gZVbsQQ5m*Pshy{w7^!
z#pHiiZxJL?4EWt_R{aB$IWo1}YLu4GuJuSV`ptisc17^yGBGDg4}3<9838MooY^1%
z<zfy}r6xOGcaM0Vn>s{+E>;&6#+NaQV0O}1YT`f?5Hmv(L6M<Imq?oYC-DGr`BVo<
zH4x1|I6NCMMzZW<y;jGQS}-02Q9Ws)L){Nn;3o$$4Mn)nXVv5#?%Gf%&pxmpQk-1W
za7&$L1Zb<sZ=1r8JZWpaOU;V-G#M~yxE}b+-z!3F96VWLfyNkzoK!Rq@hfM8ktgpT
z1&60O&n1ewtuAr(f&s8rO{<hUCR%i)e5aVC&3J7iu#lGNFloS*cz6P&{?W$#BF(tp
zDtkAZa(*(r#N9YqKRsumT%LQ<tdnJqh8sFyHS5trrAdl@=NY=vz?7vn&;q5kf__YD
zx**9$q$a6aKKn<rQuUG!5spmo7nPH+k+WyHkr(e*B*&%CJmL=p%g%uyjk)tf<yRp5
zop*9zN2cz6rsYrlsjq8*i-zL?4((ePt;na@CfWo7=_NHHS|Xw;G0i%Y8(<DD>P2}%
zhMw+!3#x2~@4uU_bLUR?+!X-$6fYto;^D)GO^SRo@9dX4UTX~k6^p}mR@m#Xn{lGn
zl^vqF0oWx;(DxAl9Ayn}@5$CU`=&?X_eFH!gEj&WmjKK!^u+i*`P=z!2wAehjOJfg
zzDsNKj?HZt9-mq1B~q)~`aOH<>P*t}H#WFOfpUS((QlmAzaG;uG8$c-9Y9#8=L0jR
zQ3vMsR27cuSEc(}%1@r4eNjpaZ4JUP8p%;17II;Uq!0-$E#>mMI_NZ%kcV~k_O{+v
z*TFk+H#Gb-HbeD(oxFCi56lBTOLmx`{HKEstWAe^cus(6s(*)jc@qoQVx#b8f$uV)
zvVHqd{4O%hW-_5p0%8w^(hFBK0|$eM%?j;i2FRjNxecIR$pHOL=<e>Gx0U<tTPwNi
zG#u=#Q|t!N#Fs(WN_5~8s1m2bic3>rZ^GNu)J(wrIRR@Yl6ap9?RDDE(wS*tslr*m
z>iFGFCAPoOa9PKP6{AS6{sBPA9U!au#c;`SSNS6cusG0@?>UM9VqdV~_Qn&id)zEA
zG+0OoS>AANoI!B1ywPb=Qb7))>}Z!@Zb<x6=Gp|ulp@;!BI<|T%}?VV3E^?Px_fCl
ze}iRL^<$aKu|i!87_oqZ@q}xSnZDP7Oy4oUADG~Q0fcC;n)3+*QnOf2QIXu<Y`r}w
zC87}!a6mc-bw(h8tO9jHK+7|I)fG*hXCxCV@;iLS%+w`*?1^GuVwyI4S=m_P4nu;Q
z8643@;qK=rK6l4mo+9~ew2<pABJB6(DD!qLAk~1%b}~_6nXoAcWYjkR=VgJdb~_$b
zKLGqBH7;to*Ibqy&eaOLZwRr@bfq;Zg~$3Q-i$QQ-ReXUPhL<MQL+6GMn>4yWKY9n
zNfgn&<@qbo$%*e@kzdLwQ8BWT_}9wetYYo55qgnKi>Qv@=sb(|XJo`|QpJPM;+9*>
z%9-yB(XCVuV11vG9_|@-QO;sS|DVlD>Ghi_k8f^6q}*lQ^uK%o{|;Qzx`r^8pf1Ov
z9fAf$C6!}W>0W<Q0AyND=^apnG6JMW!l6<>mLTa9M@xZ`Qn3aD4&r;dZkr>yXM?^s
z{vVjtWih3Jy;VaB{aBGcr8D{E>0W173~fwwG^}wh3VehD+1CS7(gTo80*I&A^n@|(
z-AZo)Ej|6`l|9qJ^oTIF8dRug2k0};w6sFkGJGk3rqyV7vGH}OplVi9Qu6It`g<qQ
ziBh7f#!5KY&_(9&>$5!)ql?Am)W^%F*{{x+(wva60S%RZy-W4Ta;tSL>&nOc%`=~s
z0Mfwu#h*2=Z~EPG$rFZlLMvHbU6FUM__KN*T%K0FvQ_l%HJjm5J=ixvfKhF_Y7KtX
za<`+cSn4Ugvm#@*UjJyZt9^t4p*>+(6L@ULtCOlm>!a%;-)l=C=#VLkp3|{4UO9~J
zpdrGawX^%YsjwVhtX@lRl_Aolt6^rvCd&yp!?PpI!08$o2(F3ZGDVc>k?vElR+=ct
zy?xz6lT}8L0xzL+vY4Dm67<xD#AcGy!rP|@hrBhj-!q_ejE1~*tS)+oAxy*MnPT?g
z`9>r{o@T7F5^>Yf1DS)9M-)O)p<l`HV>tg)$XOLHWzr~Zz8RU8o{kO6DJY0I^VZcR
z=i(k^<nHP^d)*ou8rssp{^(K5;Yx3bNpF0jggn@;jO%SPjanC0UaN_Z%%~)oEiW0x
zV&yM2Ahc>~bca?$_)W83%AWQ&yBBnnGZ%>lx_@h_JyRb`Yw~_tS(#)<OF?=X+%H*g
zAH`GlL{3mF?PsjrmO%YbnNcmT(RD!j)R56ct~dT$7&f`}vuh!)sPxP5xp5c5eTc5P
zzxV7q<*OK5tNZz6B_BgqAgGbF72XRm{!e+Tdo`H_sO(vOuZ-*$yd?T>kyj%1q!yr>
zetdpP1QQ4OTT6qwsF2Uq_aR;r6B9TXaIcTbg?UiEo3c(mAawex#@y9<S;o)XVmE|u
zjFW`%?!DA?0c?>udYisSe`=ccH}f^K+Zg1!?-oR{_}9b$FIp5!3j`WrINF;Qv0(0f
z2q+1t=DdwuuE>>SdDf7d*^$ZWfK4HE7tJnTqf4f{uO`9#21PGfwuM%>O-Ojm(wqrl
z2Az@nefL(%>gt3)SzjFXvcth<YF&x6X15?Nm7JEgE2l}XE+3ODQ3RvnA!8b4X}rQ4
zhp!7IcPwdX#uut(P~{pyA>v`MG5q-<6VvPSI#7q=xHcg3{5d{@QtHH^yNL;X4=8P_
zvDJ6%=Yjd1AFV9`ug99P2MXgr!3Fx2k8euh=$zLP)`JHRS}M(21F_Dw^lt%Pr2|Au
zyOv9P*>(@A1t`60sC&Tt&m-_l@D(nrQ&NvsiIoN|Jc|Eeve_rKpMXyFKO6}n4JP8Q
zeE2{UenqLx=&o?fSWMAKl7WF?@rN8`J1DNTyFMQOub`-+qVh(w%(S9gK9$=H8w7`U
zos_<0?->*=&b@#`PUJE{CuGq8YB+<z@AV&mE@%VwXMncCo(DdsnF$E1rB`o}FhEI7
zhQa#Kr}eP{QlJv603QOme8Ap;(wd;5GBafa?4ZlZ7(6<z8{=#f!7rh@>9UB}0E_pr
zZ2D_HB2b^^7M%NC*w;6aX&xu;p5Ohx4?9i>FN*vR9E!Pqj70rrwQvNATj|~>noxN8
z3ohzUXTt!vKr31Ua*&*a1RNooPB18MZC*S2R9uYPczeBPzYsuFsd@4igRN<yHK@dT
ziZ@@Y0v!tr3*wB<4weqW^snH-GmX@crkgm+Msqb7J~X-N21z4Kyv-y}yFZXTBIb?%
z9pDt#;3&VN9c;Vbi9qu;M*HuXdNqGkUt4~y_Hv~#_lNcoByoiEUQXOYebsWs!^!=Y
zP??m%H9%*%DvoWaq=rh)Xk>e$0C;>>?x$7hioej+(kZ$0v$=?i<TYE>kbBa?I|oww
z9tKG(8Lib~H95%BA^cB?xTGTkoj}S55(%0m(okedp~|O{$0ZpZNIcwjANyFWQB18=
zSRnBNl<AE1WUC%b;KdMyV1_{ol`#@BwMbW<O{Z+6w%g!&eN0NsVo1{)%$b%aHZI6L
zv?W5VvKW(*<ajYj(t+&@o=9LLGy^2$qe^LLySnT#9J!wh-{&{zAQV92wh9hj9{KMA
zOpqO(`$&Mh#2eraxAqO7;wQzZ87s&a4QTa-v&NGDxq_aHWdNt56BHE&?vX+>LTj8M
z72o|FZkuCjs*;h|YlkUKa~^Cu@fb<x@gf&qjDIk8n9=gS00gZp0N7P!S|VKybm|9`
z-f%2EJt!XTmU$Y81?H*jq(Md-Gzh6K&s%pVj0Iy3umq4Z&r=_}2NT-NuupQf1_sO9
z(6lbPId_qQZ<V3|yp4AEE%#|b_h9YQUbI9*DQP-B6OB}Wi5~GUgMslhLuN`sbUp%2
z6_6VF4|Bn<P2Qz_ruRYbOeG(_54xA2rdeMdXt(7f5D;sa6-dG>Eq$^W%?D;oM_?+6
zFOaImI}g&<Pu)^LixqlAAnEk{-q)Rk_Z(nCT_krm>3$1xL2N>1()|^lT3rEmR7RN?
z1Zc@pB}fiUtqj=$Pu9C&P^ZG=pKsE~Vx6r9qJMH0us+093Z=m@ozMs)-~^w8Bm`<g
zSbjz`=@+y`8Zfp}-Yvz?6sp6Y8^^<scUONWKvHW&AP{FBuOIZ{xDuIBiK69+N|)s{
z2j2T%h+5EMOE3HMy`yt@_=Ba<GHBUwHcwZj(RFc|T8mM}kVwsei%+4gjYa8?!-dqO
zPjOb_6>O8BCW*sDTKV_D6ATQP6VTm6vX00}Vb2(3LMrqzeY)PfF}N;QXrnW#a-$F9
zj*D&YesZS-)xD9B9}a*+x_sS@?6kE^U2+oEj3dB-OQzH-GSW@JSxp^w$CiXQQ_;Qd
z@RM{>Lot&ngM&L&qQJLqB)*D9KxkelpOs1z#(V#>jQ>x?dKW*YWGn;bLuoU0yRibz
z$b&=4eW{ahW8}B38`VLf*!5IP(h5ogi+AlCMqt%ih@S-y?9N-&X-1Z!l>N5z+;2rA
z>DEI<wET2Rk>^aqki;+W??hIrJQ2DC$`S9?Nk1+gx`(P&F7peV1w&x+i8m*vS2mNp
zfCA%Y=+pNHdY-Cp)qkHLi`J;96o1NphJ?z6A4%Aj4W>P;LU~&ex<-+QSszX6Q18+$
zA0vpM+r9XL){>C%&%Tm`B}LPP!v%DurtX-iBY(ZG>7}&WlGpKsq}v7?aSLxxWF$n2
z{eLFdt{{&OR?64|9>dfG&O)<Dmn2oq<bbIeherw1ho6ZyNz=}n#2)8mpdPVyV%R4U
zLBYj~2)?kN+xf5mY-}kqH}#W5ZSLO1&pgEjYJ?xhj(^28zjh|fh@WgNFld`dQR<O5
zCDhT@YY5uxUvz4j`1<GQ&;?4!<F9`4dmBSgVvfd=IC`x)=&^%pI*E4{_Zj1xO7p$1
zCUm`osFm+ic0YNTr-}FOqBZ`3_>g88%V2~0kT^|~_JIb>;2*+|v)htFZ#7*^4%&r0
z-ReTCNQo5eU-71~yfGm8zCdAt#2DfI&!5}AB7XOqn3fBcM)r(@xlER>xVWM2R~(CY
z{bYa(Vp(c@yV*Mk?2r&E*jw<X&Ac&4;y<UbxX-A3cE?4<aH4Kd%bLP|-G3I$7;NEU
zs+iyOR#Vf@W86}Xqc=p;>p<&rMxxc9sqc%UD6+|@!0T<*KkI}KlmNN!hE@e`{yA#K
zV>w8KeLe8uX7y?)WvR*SL{UAzJU*?IBdaDV%Gs>8=Wn=?2#j(5u~ZT;Wf)(0fr&Kk
z=x*PGvQpTRZqaBnOOeUJifJ}F>sQ9a7ArvqW_DA>PXDrC$arH2fVKfgddlx<#abXS
zVm?XbVm6le0m;10qX65q0^3XN|74Pekz0?6eg0wG@MkJDe%4(|ZY&1I+gb@s$NppJ
zSeTL?;-h$GQ3anrlR7JU8;w{+168{c#UDI|(<>K4An_(&$X=b#%}plP8>!7d)!aJ}
z39@f*vPrD6P#-bb!Tiz{D?#7u5-ptSreBs!>LCcxgfXtrOa)#KP-s7W%zpvkvzw8W
z%*0wjnS^myKIgZ~vY#EOanzoj`AzEC$1d`U?{LJy-FwYkP*jciQMjy8x;tN=@_e%=
zw1<}20Uty!13OnRPx=RBx_ZxZFRoLgdW+qD*)efh_HEv5$8o}&bj@-y@87qs5Awwn
zo%K*+|GhmiaAFXOxhDQ)hss@GrNI=Xwo~v=<=^mI33(j5iwP}I6KGuVv<1*_d0Q%_
z5{a5dVzp(iedt~x`K|}*m(U%iiuh^=-&jpaEK9pYIV(WxmK^|fm03PCvRny#AzcIL
zzPV8qw9LHf?;Pspy8rM7$7*s{au7**I+cr1E%UgT?U|!_br<V#Pk3V+PhrzAK7X(=
z(l!0_4RrGB0+OOB7MC%bG{9WGFvybOaK+_MQt74KpV-|dFN4=tLeH7}d!2)a@*i3o
z;+sV}x{WMzkyJn;(;4Zx(XRPMre-3=y#Y*Kfa#;@sX(-~P;hGK-=m`n1pP>S*5J(%
zE8L<1bgR>IF6MocHjn<kP%Pck@S`J$@yqGeRx#afAPk;v>J}k~Cf6n8)oj3FekwbW
zo0msuBLWWy*7xs0BOB&@rf<*2tfGNg5v&%4kQB!n;uDljxHn`X`Q49!Z=!*d6xp)A
zt}-=gm(@O<xT)4CDHuNCTFNec3b<=C>KLp4J#~5)Z-P6l%h<?Mr8i%~Z{pQ{yfO-W
z>1twcf12=6iSD`#7`q%1{DXRoII@VQ*MV<26Q!>fobU3aGJ)i4oUQ|5ktjxpam#<T
z)mflPmI_tMx#c?S#o4o`Jq`&;+7{N&)FrNPNwKY;UGfoo4i7iVHU1aOObM<nafSB`
zj_KIQj9qssH+-O38e=jUXVI%s{u4Z7PN8GnKJ{%su9HF39-dM0)uL$$yuJs*yF1nD
z;mB}BZl-L7wkYhc3h)?ZqfdvAq%(}*MGQZ34iucaumIU#jZ?YZ?oE+;)`rH<T+FS3
z*T&7w98Xepc(jT5(!-sVsuRWo`H5;IP<;TkyPWRHQKDcE&9%Q@?9_adw(yf2<z0Lj
zW3ZX2nw8om-On*=K0d^(zU|OGSv`y{PH}5WzG;1E3ypz`3bUS8^{?kS&g(5E{Zjvz
zolm{5@f;H8jidsGN)HeZ`g%fHfeNBZ`JqE+AcUmK22Hl4wvN9DX_@$AWt8?VJ9P9*
z0jb`e7YT+T2v&-e9K%P0JzT_EOp3WrYAL(zHfCL=(VPRph8G!Da&fdS2}Dcneq;zE
zC;M8(DbU0J<5SD$*Z2N?M~HH&WD=Rl9l%*n{-<08q7&GQIznUr0l#Eb#ZBUg{DTo;
z_hb<d;_@e^qYo$OX=NNgt3USpMX!5Vv%^qoYipI$^t+1B2t;0}PR6|V_X6U}SLKMy
z({JG{wnC6=3*3<ZEF&H_wXT)jse)6l!poi5oi>}qWir|DTod&w{vV;&6;g+oQ`lLh
zuVfH%aP)QjxIIlaW^}a8(XfT69YY9SgdDsQj|2m9UdBPspaTi0z%>T3llpBGSqImI
z|Ew{Ly_QA@`|&o2TXv21o9^?rMjYMKPgz)Q2Ctt?)I^}Nwg18acghi+tnm?hK+nue
zk@+UkUyc-%MhdN?adl5CCj8HR+&L$pPETWcAS>+xHf5n34PpNtqbM~(uql0BMDB6Z
zrL})(&m01(wrl?Pu-W<8E+2jY*!-$rM7njn2sGvP)#bw+B7~7K$D{i9eeIJY;OMnM
z$5#ePfM0nrMEPuS6*JTS*fMG8^YNS<zU2g~NHhJ9YdZ&6Q$HMOjCYvyNgut^v(E$F
zE1VRV&$N5{PnEcE%v6E0jStFd<jgk~Uz<FOX15vmXkx0xYIH&(@zn0g7G|vy7VNu#
z0d1*m3_rDFcW~jE&FaV@F*|Zj!P2THW0HSaE-<FotyFXs<{;BG=(njW`2-K}s<tQ}
z^TRG8zO^APjmA+DGp)BzJs8OCK+9r3T#ET6Ar^PSbZhPkryiJ0Cp4M(u|P!-9RLXR
z0rFlzr<#o|f!B*fynFZD?L9%s$?$suyLEGavq#CL!(hk{U`YR`9*qAEId*ySH!zKu
zBvmi7DX~T^li4)5#@h3z2!a^q0_3of@U~~Nm8*s9MUm%=YMQR_t_?>odmASer$n`o
zx5kA`Gbq5AdZ|v(nwiW2s2(ga!<|$uEgfhN);+xW&$^cz;SMjAE6~vVN+z{b=mwZj
zxN?!Sf2zmk*U1ksvsuo|kuz^=#@rvII*Zu|yC&+Z_>5yf4Q62HwE}8Rdl<;XehP-j
z=Z{Tm5cCI|>gI8B(Y}X6<kUjh8W%LxXNl6)f;^#p2BVVTyp5U}oBb<RnpnI!>-^?F
zYqSH<27iIB^oW+Dk>cZ{Gm`*FnCPD(?#VfDCKex(-7>h2;ra;}q9*Q)IGHO?SiIBM
zm23oKM5TNgX|BcE2<M4nP)VDe#!ifhY{b5*_un;rqux6DdJ!A8wuD;x3E}rZA%XB>
z?+eh&2nvaFDv{0ZBCKTN{obsl3nMGT!rjKG4>6O1ejnpi=G(3O-A*;*mtMEqhQvuY
zP{drO{ko3LZ+DQ_`?NCCVF5}3W8fRDCg@12tI6;M0<?QSmFm+ZqHWk~G2p3K_TS$a
zvwi`?54QCpkFn?Yz&4i=Pad4C0()n+>rOpIHOp3H;cIK+s-+|-?qM%GVy9;nO&uE&
z?@Ai4Xk^dp3=WVzKtZYU>ajq5yE>IY%6r2@Yj(3W!G<>a2(H(ya~uzgibbQ0^hj+7
z{ZeVeh6JtlRV)edd<=$}v~}2w80gIG!1F9I1X+qarhoK3=kPl0+>r04@)Tbp*GahN
zsgsi);u~BY=gdOBV8mpRTwm@n$9_j3`b=Z96#^GJg7D!&c#hb@M4}ZPl|ZrmJK$qd
zLA5D7uCF@&4-$A8_;8Tc&!1i@kV045eQ!`XwdI)d3vYr&rSj8SaJ$?Z)53N8N6-SF
zv5W|gEk;ElT?v<nv>EC>ERJM>hDdqXCn<|pIui1JlgRfdlMsaU2Co*wbNcIMuir-?
z(h=}R0@w!O%O{*6rXJE;V+DLo=3{4qG;r@M1D6-tQI{kvz+6Lv^5G~<eRv4!=c<zu
zYJGdA<;54LM?SW6;6X4A9+~>dhcN}5ZwTQY%(x}+sDK$bm|d-xEDMxt0aqumz@?9w
z<kwv!ZW=2p4PFg<h#g#n=jiR;Fj>;Vg*Y1dqm#;khnI&;?}Z1qNPaRk$1J*ZK1?z{
z9G<6-_oG`k?tI9LjuC!=qo;e<ZN1!?9@Up$St1a#qf%;zJ?sCh-SX=AWe}+5?qIE&
zehW&P42M2SBnrE8#j|REaTh_sCTqIA8oZs)3}b5nz2uR2w6dU4rl<o{fKb?<gK~<w
z?+byXpfke&lY|QqG<?vC-d;J@*GfDpH}=p_%oTrUlkxlw2sijzQTXD2^QTJpC+b}2
z4pMK0p+wlT1va{us^$J^b^h`{)PV(%b}Oxd@aI*GO#K+ONK}o+uc`E8XO!z?H*Rt}
z3b44i9^*%gW@6>L%v?r%JhAyh+%W1UMgM<w%D*%hp{J)$6m)(B+T6ocvSbanCrTiN
z0I-q!2c48lHCu(2Wmk*sVfLUI;uFwG5+A?DhZ#(knn08vsC*Jz1dViKWkUA?@{=gk
zBHBmqq0(^k;JK!GqGOX=imTPqE#DCTRvGKHLU7a+(MwR6Ioc+hdzu|CvsB*49=StA
zS>$w!Sx=NUTi|b2CY~0lyAkqG&*p)0d~laVvVSyS??A&83V3HgvE72?pPu^Nx+5jf
zIrTCTFp(XR<Y9oB9X$peJ`3Q50x;MWD8my6ZQ`vyUn`Q69|&KpXF*+~nKEHelRB&k
z+FDRtxd^Jyn<4chJ-yI5;UT&vI5RooIY?RC>mIvK9(rT>*r+`dB7=pnD0z}FhTlF^
zmti#t@c5=_7*(#f;V$eCro@Pf3a1E;_om~J9(f9kNsb|_(KsL{J;)CUPL+4WbvWJ}
zov8QZ1D&-a_<o3f;o+DH8KUH;bG~8_e+p#Gr_TQo*g#c{ks&CT16|;?uPMFu;h_Bh
z#bdSfKy?Gf?(JB7(|(|s5u4KIj2dvpIe+HddC64^Pi@4})BU?HUlTz6fxt4_rmU*%
zce6OD`<c5R{N7EjwSe<sahj<<zSA7hT4U5+`H#BU8^KRxmeiIA%y`{V&WJRbXRj#;
z96%EV%nx*H1$uw=Isq?2Xww-4uSS6S9YMR2*X2$Xq>*v@-gtTa{vik6Oi)+Kcv#!R
zWsDhf(BR|kW83S`WvWJ1$DtONB-yEYwV!gG-1)0)iL6WbhRNXiOwWUPu7JBSm1`iA
z2p(TafT$F&nyBE)RE%&&n9Pw8rwwxPyUTAhgss0@KKf)+=dw*<J04<8!kpBlln-iK
zNu(SZmVtf;2dnouM!zfs47xd}hzCuApKBrs7?liws<1wiO8{EoUJ9R1JA!sR*16O5
z9|)k6S0D5QihY`UDH?WM8*`RAnIa!tYJ0G~goGsE=FkEYzHbsZZ6?Yl^>#2Q6MpNF
zj(=^Ki8=OedanCi1!5K`E6cH7VN<WGf3z(aa-TT`^hgZs{p773igbMDEX_f>+l8h$
z9*1W#giT|TUjbEr3kWu@h*Di-Qh4m{7_44PBP$6Knf}nmmf4fh-x1mFS$m^hl=dHy
zuVX4rK#(#7ZD5j-TgIbu?F-}5Y^G@P>~-peFx~U-pCSRFYb*w&BG$_+0aQ(Ob(D|Q
zm(FycZXO6mFLmWW6A5Tx0A;-qkR;c5-fwFMUNVsd+7fLW&KW=xBNEgo4O&G6Km+ir
zn?f#Z<NUb@Iw7G$pYKnEA=WulE`fkpteBKAA06j#_m-1%@vk1&UY3-6Ww`kI`*j5t
z%x`QbqNn2avR7FqVH!Jm+|z5&uw>=RXL)(TaR+!Q4M29h7#pMIqrKm%ykYE#v=7uf
zPRnk!ca_&27MM4nth}MXx@q!!k~L$}9{W%kAER<5V+5+QNgjMdu*Yp-!h&khk=Vd5
zz{t9I<E!T)zAhv3dwQxp|1tzK)rGAuyMnCeOt|>)W^dKf%s~lR&`G|1Z*DFW<S48e
zuDuHFtqEAgzrAHmf28jm)LjZ3xXUAUohuB5{e2TkjcI3OLhSJbXk-L#yP@CeSL4NK
z5olDIGdw?B0flQg(8{IMumYN&W_>u{J)`J+ajZ5fMypYZ>6^FP!8mbhim4`tmBzSJ
zUu5*Bq)Q{&vEsswoV;O*IHlJgVn{6oM7E+5R7lWdfgW=(<f+~Ah$*wDp-6VFFQcXd
zJhg`z9hyn&@qm2G)VBr#QIvyt38D5!Mg^zGL(Mh3zS<|=6+^b~(miVvoyB6_{2T}%
z`5iAcnU111cRS;=gSnL)d1@m{KzcgzakC3;Ih)?d?sWCQB~5EKBKyQ@{AhP=d5s#6
zYK~h1=f4#ITrRaS!#iQI^T+G7evKC|?wxq6sNjKyvPf3#%5p?%?OPi)HMI%bz(VyG
z9H{DPSMtBNjmqC7WSv9p0J|kFClf!s9qshu(1d=ctFpd7(D0tg!3y-wi10VGozC)Q
zFoAVFd1~XxA~V>$F(U|7*GVy09$Y4OioL8|-6KhhQg$I5a>h>e$oQe%;V_KYsfj6Y
z>cX|;LxaGWj!|aL8pI`nv;F<nbK%#)WeejAhs_3J#pTJuwVA=(K`EM~bhLw40(7Mr
z3B8|ILtZP1o*TnrI`yX;eZ_!k_`rU;V+^VkVbiUF!9Z31-r^T87tqf0*X-$JjmdK4
zw-ZIi*3pEd8J1p)oCm%%roa?RKcaZO?;GQ2r_wm^eerX}|G~r(jMJh0+u4DJ0XQ3|
zKn+v?vF-?PyieycJ#NF1RZKQGMif_@rz5-QJ`^tAx*4?WoRZGiajCn+o0Nz*gU5^c
z`5OEGMPVee{G%``HVS#2?I$)qEeXM_BMX@+>wIuOIQV{eDecs=)yb44fxRDkV<Q8Q
zBVQVI_EbnJr~thZ@zY#1iwad-83+Y^=^G<GM8_aeP)Ka-81gGmDIUH@Ns^A@GUMsC
z<Cd~sHnZz0M#J2_uRulPAlN@s0`yKRAlV^+KI3*sGKWH}`7VQq>#hzRJ-y*#TL^2f
zx|&)hkSwdKtF3FELK3A$og3%sU`7<E|Ew|=gOuGnl~N4!L}bRVuvahR3m=cDLT|gU
zgI<4QIbI0!17#Nr72|qRYHEbwWj9${RBpPeR1;q?UYYD1O!(ew*|iFW5*%{F{Cv<I
z;#80Or|b5iF82<VqwHJx)3|2<A=wSCdyP60Y>=hS79bS5y)M|SS@Y5fR5`yevwT^)
zAldDOUCvRHFP&AF6Lb^bRZaAHOvX7rLh4>uN2ue1si_E#WJdjuvDa($LF19GuQxpY
zS*9-?#RIrm))AMBlM^pW^y1+c#gsq@)Pc7h$Z2UkP%G342@OT>OXk4<(yy(i&p@hx
zM!7j2h3}QULh|F>l_P4YK!ct*CXHePI0l78Kd>y2@1^wqjR!T2L8TR6L8DghVNy~O
zgk~TxwGhf&*!10g2?m2+cj4^J1If?v_OwrQvi+nxU+f&+pG?9sRHLHN;^@KVGNXGq
z$wgxntS3Z=lXYQ?(U||gDErEQD7$Z88Y!i_97;;08$||02?YdU2ti=zmKG$WbLgRz
zQex<C=}xJkLqaK$QW3p-^nK6ypL6e*`)NMSes(?kS$nNtgk%SUOjjp^qRMMo<XGU1
zl3)*bTVa%kRtyjOJ~v9Nr*CIFFr^o(`B1*aqvifb^r*W2S3czDD}Zs3XXmj8Sl1-~
z?=tBEB{Q|l@5}Q%py>pVNZlZG0ztqdef@ACL2=&jrIVy9rTypEAw+U=i1+c<8aO-g
zu>cbod?L;kTt=n0chEEsqiEv`%bci9!j{nFCPdKwY{Vk~$HwH{R&ELg!p4@tQvbAl
z?6kDqIU3E59#a(XNT#VanW}xRWvQIQz^~ytK2Oiyg;^y@VJZxUG5Rh46(TH9e(eTK
z?%A{<c>w(KT94q#^}lU1nJ>YRP?_nu>@9WJa{MawUH^%uLf&}#1e}&1mm=4AJNoU<
z1AP3fqu$WS!Xb1PB7XYjeQ_+J?w2?BhOfB#=!Gu?c{qMzeYl+aPWb(&b5>Ugcqh0&
zBM{FCuMeQ1Jg+}tZgqW(uwR0PyY;$(S4w&(sJ<JwUvmiZtIDL}9}QVzP_#9;-mcIt
zDWXGF`C|8))N>TJ!G1z~1|o<=c0gGDl}@n7M9^;!Pc3)KX2wT1GM9U?;Q5HGG$ITe
zNCl+F@}Rh6=b0-^jSRe#dL}W%&_dnG{q&!Z`9nTzRf8%m8a=!ai~cK-Ni?oI*0|Z<
z8w8#?=PX3-rwJEJsw^;bIzJoN6#RA@RB_L47OUKny<`0Zmspwhp*fc5WWTNbdkp$6
z4-_o4asxvbqp6Dw+hh8pqiA+2%$em8H+_#{%dN#qs;Djduh?eMXoJKEVM+?r*uzOf
z{vgrxExfr}wKkIGXS+}T{f1|zlEa3z{GVkk4s&fi0^+N~hIsytM|Um&Q_+Qg!7xa!
zak1y9*xkwfA7w1D9!B<YtOxK+#@aitwC`Ud8@`czk~+Ibdmv-QDQJ9VL2=kPp8NM)
z!}(u<;U*1-pn1vY_lDsF5sH}PZ5|Uy-)Sk?ia97Y?!>2u4^P$Y+kj&t|5`;)(>W-u
z_0;-LR1)sDaJTkHTL~d1hTCrcDKiLDP3A=(%-C8*H7*ZJAs+n5;G^oOfuBhEXtK1A
z4GJjBgEz}lkc!2SCf<CKj-g6b*;={`B%83Y>a#zP$jjEbK~oj^;e7RW0HwY1n5QeA
z5^9TT_^0(NpUhP7IW2a+zOzCJARaVPu7>yQxSV84`M<t9<1#dSCCQEqXNX)Z<@9F_
zCYhA}8~#t#!0=p249iM6U_3UI6xrkynoVNB9gdUvf&NZqqwtR76I@JM(i=B8o|Vq&
z&fT}PZly?<+~h-$I4JH=6>S=ocKF%$s4B(~uJ^{sj$A+GO{La$Uo^3oiw(^(`S2ab
zk%I@7DOi~_*mp~qL@cbMZCeF%wsTMMv_$Y?Gso%QsDzqZOCo~~R9tNzVhH=L1O(T4
z%K}~{8V)P-ugqQ@sDAO4!~-oFiwtx{m{#81dQ-^?fBe2Sx{@KnIQdyAwiG|kD?JH|
z{waEzeWSe#m!LwXF!#Plhh%NMSPMH8#pcXv2CWGGQq0!JY<jR$IB#pJE4jG1Mm6r>
zVe6=zbng-2cBY8?ekCaw%ARgtNM}hTV;C8}?+@kn)oS3iwx7wzhxG<UcgH@c%qB8L
zrDb*xMub}+Rn_*5Zru9~K8sRl6=o^3hzlOS^^X`5w*@!+uC`I;;<GZYh4Hd7HxCcA
zn_68II`FIYMl)}d<=eXFxbC>3)ywNPsEQJ86c5v4vAR`BFKbeca531rhD`kH#LwKS
z$lOINTjmD_<nKTtrfRe0g)^g+xX39Gd-SjJ8>Ia9?g}P9Z*CezA2mCEwuLLdX>qS;
zs5+DS_Z|$-U+q*}a@jFu2^v+8Br=EN%VoQnJ}J<5!Wu2c%Ap}+@Q_qdw!Jmcbw7|p
zwn6aQ+f-6T&%8o$3D>Wj+b(Jw!XT>;0Ke39lF`OHCqy{WTXptyB{-XipdJM_W|!!i
zTh%yameCp^OUdhAIL>-YzQd0F71hFgu;2)joLRx@NdNV>tA=uWSDToW^DA8j1UbAe
zWnX15#zlnpFJT5@kUU||{Z5nIl%U?Sx#9Ywn^dCwtB~!_pF4Qg@`tBV)ODKqdmz{i
zV7Gx3>;(0dPzSq~b5@2R3y<VVFCLM|{8M*+B|QY`_LH@gRl}CdWn8@RnYo=;+by$=
zrAKMu;fpbfsv>yRL`z*U=$npLl7>3>h#NkPCaYo{IQwxNyx8Vn!bVvK-T+M!%Z?hh
zP%(tq`YjE{>vDehj=xCpBI@3*tJi;35iOnOTn)|hW{+M_QXmpR5-QY8B1g7Cd?6&z
z)m$HOx>e&wW9JG9$;Q&Fxib}VDQmvgM6Be`!B}eGrT1DgkLhmGu3jh#!VvT(rzKOD
zwTSsYN{UqyDX(13&GS<Kt97VDgY<tiU4XYLk@RHaR{@vQBHt~F2VwyQwBeD|0aM3J
zw(X@nBx8fea0{h=hwT$vv`}+(q{WpW6_Cxf<bd*rJz!`*%{19TS7x2WaFsUJR!)?7
zDS&0T4*)B<5-pkgcPB#NJu!o09*^sCX#fD~+oi%Z7AHIH`$*50F0UX95%`)iWYRR@
z!o0xu<q{Dz<Bb9kUIXus{rCDM17#Hg#Swa)NgL$g5jk&IRQr5b&xcT1+uuv$b2mPC
z6?wRIeFqSRLsOsy+36*`5R#kdU@wDYpm{IytVKy)Q3P52<!*#n8h~BlvXQ$XXD*(3
z>LIjd<B^*)h0#yYxc5D*deVD7#l*beuH8I22Cvz2Cp#yF^2Y*uy2w#p1DC2>d;ylw
zl&oxa<cFY}5HfBBwlAGzN?*W*=oO>x-YB2QI-~2|M)$ky0|zL5QE4y(M6-1)nLe0V
z@WsqRVWz}QHin`5f7_yQO37MgM^Xi2+M;_sLl*4zp~B_io(c_^+4a`Y%tww{l&X}1
zVVl!^>dTaFQl)<y%*ymoP#VZ)09BD*%wSb<MA}}+3i4|bsNh#XakOkt2nO~JB2lTT
z!4WAcG_rr%vJk4*B<74r>GCe|$nn%nrw-I9%^aUAlw+Gckl{S76~yJq98=AV|F_lt
z4hvEvghv%<Ss2qY9;Ri)H^2Ah8zk;eB|SWqQzEhql#h&*e1=MO$EeW3`K30zVO4mV
zOWc#k!n6vBnLWJ736=E=Sza%}c)CAWoGOAcRVL)qwybm-9$XF_{Rz-n*5(>=b7Gm@
zCHsYD$WZSn3eq|opY3Y5dE9Li!vt<A82sj!^<v}Vp#e%M_eATlKK*a%u2*?1RhU8!
z5A#=R@0eg%7q|n=4G@>A_7{Mj(U)Ruj-!vj(F%)|SVcY@RNv(uCc64DXPa>n=2+^V
zEmi4~XVvF%_fLzsh;4IDlYuD@5=@gFQHO^w*rJD{W`j^(F|asARaZ`-6#<KDMhGeN
z)3#H1Po?E7rs=$ktu)tbj}J=8VzA|0U2gxO8LT#5pb~9(>pkQiX3lM{L<H)*qw-cz
zSuap`kaUK@pUbs;`!#yr(cj`F*dIAtC=d2T-_eheyJzodBHTKM>Ss_=b$hU`Xva?5
z^BFJyp`jQR4+=p{bHh7dozBF!y5ARlu<<(()>%NdP_LfPU&yWy<{i)1vh$ndotcp*
zFo#HzSmBkaM(dcgDfhiKA1ZT0x;vfv<RP-4gQdn}R2<De4P9bfP>**b6u_Okgm82Z
z+0#oF_EkGzMGZ6b$J+&Vih3<7`(RR~Lzgo`mJFm+ez)o1JfY4=1dWOu&Q<NI!&}2E
zC;I&>2TQX+o7_%SUl}*_i)JYO6qa4j22kuWX{k6rO?+N%U%ZhKGA5~77q`WbD}+xL
z1@=Zeg*VQ#s2d>ej=taFLuI1KBgj?=ExehjA=>o(m^0f9f3Kl8`buWqR;XRSfTOR1
z_Hz@WFAIL{wUjG_)83z8@igUHzF<ei=A6RKJZWPM+7CnM+=O(87f-&9q!?R?Y$y-!
z3l4ioI%D@P@?`y#tK4N2wUyIjD7%h?Hf1lJyx??KA^c|f@#96Q-v1tQN=68pfwGeC
zCH!|=#?#@}N5Ukn{s6MpyuO(s*gR^{8<mz}n6~e@s$JJnc#*FI%1mv&77d{ml)FA2
zUB`%LqUN3AXsJ{G5}Fl4^W(w4YXb^%%t}Keox`L=h{4x142)GRX-vr4osdXmMli}A
z?anP~(!Ds}DWD|jCVG%qCHJt#`Lj5;E17(qt1Kwq0o8<iMPq>!&~mGK!gu|$nO^PF
zk%z(0TAcsvq}HE6KLBxK6P}~eXpokCJ*Pz=Om8MRbral4G<IVom6UA6Sq;<d)GP~t
zDhxm=bbw0nhUZY7*^h+`VY6T9DI0G>tT)?u$)}nd(=l{HP{g9)N(MhH=T3c1{#!5G
zh9)mXgD0ypn6!@$6A<f>>{U!QjrEb*I2pE?bDgMyzyVVDGS9w$w)N(eo%%;c8KaeO
z*_H1P&X1>fEnXZ@8Fbj38_IuExY0}U=jECYL&kr+kz2G2w@|en2yn3t4W(7F+US=E
z&75F}g3OLZm3XYRj`*^?rWr^v-WF~$j5h=me}E&f;5VtM+1guU#N_xHpPZ=N3gWqO
z!9EcC&l^PnreLD=(a=!ULLc&0o?7lw^2N;X&cO}W%kB#%k)zHzO-J*Ss5JBj3tBiZ
zd5KJ2WQoUewOhFM#E41r^?e0KlQHN)-??G}OS#rAW}i{-!p&4dU!|m4zJptbi*WdM
z91OO0qJ&p!^l}$rpEw&CE+KF|knVX~MOi4<wtY(*C$Qn=!T|xd!9k*k3ye0nUz~cd
z6dll#4NA`~VSv+V#~?o%Jd<iE87FF{auy`8;foaC%9weOgxnaUFc{c5iiP%VImpBJ
z%a<3aXVYp+&wF-`L~G+W6?mC=Vv4w2$&}Z7?eBn|g6~up;FgMWh;p7-yq6MGQc7Y#
zlT=y6rBBPNKRk<K;?IH}k&isSiWl^!0Pm?n>S=04XUcz==<(dsb6w&S#Xh6<258J6
z`vMbNvVic|vFZtN^k<X8b4zs0hI-mGmsaRe>+ok*?mu$~b>vAelDpv82zzWjGD^VB
ze~_s1aM%)$p`Mp@P`oCmh4EZSuw(5<Z{bjrG}EKdZ3PhF8~o9u_HcTYRa|VlHp8*{
zhb8;=Aa8*W9|GC0rhA%_r?H$H&hw#v^u5R5ifK1##Z6E_-I7q|3&!9xKIdug-JX2&
zqdvD?@go<2g&#FrE|40`E)L)p*s@RhtcdO^*le{L3o+CWs5-9PW<QfH+9R8XI+`jk
zjSIBgi#L>NWG>b^Q?oW8xW456)ll>T=e$$RP3#4^gqz)+nL;~R7=!)aQat81c(B6$
zHQ_J(2Cg)7y3_Cr)VS>Wo7TD1g0m4Zw;Y$bDPSv9i$CP>VH)I{=S(7s)D)jKrdGoQ
z##A93Qnk#zo$UDpj<VlNk=}u_wc2-X3-iT)o(Vuv&~)lsj*ld3LPW#me5>ZU*2aZT
z)y?l@tE(azPoTjqusCD6F`@~FbQgaoBYCN@l<kK*zgT4E1FRHyKNy*LY#b+b;6l8m
zguh+?AezvBMN=RQ0y3V`+?=0sEeXsR_`Ii55Xm@_vED@bqFWh;JU1aCQT=np=P{px
zL0v%f#V|}XT(gF1>{~J{O<4Fz%NWzdiqBS}Q>F6~>rk*E;!KDVaUZdGCKp31ck5Zu
z4T$S)bT$HNL5cw@k6O%-c3LPDXp_UtwE6JC+DJGcUnCK)0a_m*)lDSPG4uN?MFB|E
z?odf(ZayXWnV@#oqRI+v@yfJ7TUkP)7ULr_{!KpWjAImb3(J&J7(8pmb__apA{wK;
zmaUO*hCXlW*Iep|0zA^#q7XEQ5GXrB^W*Hn{EA?ZnRL}~a&EUuWk8Kw$fOry<w2iG
z>(N#Uh#vHQHsLo6UIt<`AK&sYB`DiY9jjPmoS-C4AQyBI%O()p*@Wn&2DEu-_&V2u
zXhJv!Rr~3gg>ne0>jAd1`Mr8+2L92?{`uDNVRPPHg}%>C^D>WY`d-mP0u9k%k(!#L
z;0VUk778@C{BBHY|1agd+D?>*Aa;Cl;GK?DY>FPWIx9{JhG2l|?dgvsHV8|`iR_Lg
zH9(8(Li^M2+iz7SxxZEh>Iw8S)p?t^0Z{~wmiFVKd{I;V+Zr_vBJ1a;kye*5zTwKU
z0@Xc7cC1V)Ip=5Q^oS?@-=aBlzk#!<X<%|Grdzr|`_4?2jFR5WaFf2pFsH<YetPAY
zWBG|4+2Y{b8>{Yo1C`rONe(`C=J?s)KN@z;Fsaq->K^{6eVlgc@m+5YeP{L6Y9JL;
zS9l9_2K2cnOi?wG#OmCgmgg~XzmFcgUq-yT4BQ;)ny(QF+Uasv()3O4*eRVoXs5u|
zE)6s^U^-dPDndtZYXC4%3E{TcT9bT=T;EjLEC5la_Z8#S=%#Ia`bst@+Y-6gf%{G(
zl)^g(1r~7<#8{DrEi^P$v3tolRbj~tRU&YzUP@l_oZe#fXZ*1Rh*=fXgWsjwC!JFi
z@(yGV=qcEzsT$nPgR>3Bm`bwEA&Pv0=DHsDA9lzq&+`qdh*{4`w?v};c}OzTYXsD!
z7lep?{V-nk3w`AE-5QtsdH9grN|D65NOPO1+Uwe%Ub;-*Y^nDy7c@Yqz?DCdEiz8O
z;nDH*tj?B%-|mA3KaP4w)(7tKU*-n)rHoeS-3?l?JvbP}_E=4N4v2CgF3-&M?L?AY
zs>0~XvAJ8x8v(8!%Gyn<Y&$YYYQPhtR%|6F!7mz7DwU#Q%#^$IV1I|$=DA){R+mZt
z+|m+iI|ex>EU3t5DNBn&$4E*%t|3zCWum5OOquEzX^AwZf`amLZ^ev-z=q24vj7be
zAtPMqM@Jwo<V|fzT_j#2VqwXgDh3O=H{@mSVL@r=E)dfoQKPq2y7%Wf#^5<}y;)$!
zs%J{XRg(b&c^=)0fvGD6^FU@37_XL7A`=<AV2O><Od;43?j{Wc;r*8&LWQ_qsjkLF
z^~WbW7-`oMKU6ZmW6h#-@8o^ycBcI|i9VSXJ=P(wa<bB7Z~o@H=?EIj(+WD~jZu9M
z&mt$mnOeMnt`cibb8~$GO~DP=vLU^x&i0gDK==)6FhkI*rn(*hGz?W$(Q14mT9M&v
ztySs+wp7x88Z9G}UwTmbnb<~8FDbdpM9ME(7Tr&qAL%aW;zi?NVMj`})-6)D*&2df
zH<#%}MoyuOxv?QWE~c@Vo;Tz}XtK{G4r{r{b536@_z5WQeA2VkeWEIgtEorkyY^A|
zz=G2}{=q(M{R`jxz$88QppB)`u3I#wF%L{*0GCBUw039h%-PK&AdAKdLHy8iiD=P7
zQ|M2oPz0n#>vQ^y55IfdCBIvAa{E+^_l(Wvk@3u+fG7j5CQRBrS{5lSsEYqZx-^-J
z(V1G4Z^I|soV226D<4dNDn@LII+2cmIJNd`?;e(0xSoa2b9*{r@*E5z>6@QI*I?kn
znCC9?)pSs^9^qvsy|b;x+k>vEWwldh?f5~GF&j~-9Bjh)l4$;Q<doovbT5{ny@&}e
z6zT&q2OouD{Nb7h!~#v_B2SjVlw1|0$p-j#2>F%uzydC_6(-}WdtmhlVv~@se7EzJ
z$$o&_c`pEIsNvq$B$f(E;L7;W?^`6$p^grEjEEh2XGzF>k;yGwmE;mak=Ru0A1nNx
zHp6}vivnSS*@)pY#JP#hI8g^Bdy0B+!Zandkayt704S=Wvav!})4uO@{8!incg}6l
z*qCBYiV8LwM-w)eHDdFzRculmeVq$?mUKV1h{NZ>c}wMk{EbOzK_Z^?pyHQ2yKd<<
zmCe!o(dkpAr(lgFgsZ>{06qGGAFOyPNtX(o1VRks0{%4;xNlUGs-m1vy#B8Qhx=HT
z+@s>i=AAYP{2;TASWM*w18FuEYEwy4tgfFJf|gV94+TzdUvxR0-5dV$SfAz9tlR6z
z9=ox-vLaVvS{%)dagjw4-wvaQnGMl1zW&cxQuX)zHGNB&(+5Tc%n()C7v|1dW0&mO
zZ?drKoPEl%|GQd=p{uaIk<6QjFb=HUE1~LLG4}}YhKdrS1PJxA53ki9_Bs7#kjEm@
z&rsa_IBbUuw{T-*>Av;ZgwK_1YD$vWQg3iFt699&pbyf=MT^Y-K+Ptp{+V`Pdh4T^
zFzVw+lwWhtg?;=H`tC<D%vuC26X#Mj<Jh5}lmw}11hPvUO#JTbJdoU?DEgvrd=(|N
zf{CYA{Z6qsO&!RWiDGaZO;yf)^9~9ivjKMn*#$SG+K-+;nRPYFMSPOh7^OMPcZ7@y
z6U_As94Rnayr?6W#>gtLzNrt|=??4!W1{IOzyNub4jm#cLPF5kTM@czm3ho*-fgvT
zU4vxB&F*2lcfxk0M&KE+QHPp<n&^$6y&0QKhvGsDZt0n7yZMfqFPzNYX2||K5{$#h
ze~hF$SgmIv<Ej4Lu#54F&dxn7-#Oi@!!j$d>SEO3n=1a}d43vA(dK3*ccEz?N2Or5
zDvwWbl0%Zqb|!V(V$!KIRjfalF>3B@EwK3uLD8i}-es#`)EF(~-B*lyg@wXqftE%M
zaqgtJ*vTPAx&r<Ao#oTy)da@Y<odr9(JLf(>LfrcB8ETAfYA4zc&eox0RqIgm$7@%
zGFLVE32kdEbPbS-G-G}b%KsKE2{1aMD}oE502SE#>bu<|z-T>n%7lReb!UyppB1j5
zWy}<HW80u`N-6Jm8Bo`F-g6o8k@lg%tXq3+Lc%9npKDr-v6g7f$(#T7_!&1Rg0MSd
zU^Bn$J?wlMb#x9;NU?(7N1_$3YV!Tt4NGXRO+Ko(`xTIj`vlwkSY_$q>B)gv<U6~k
zp#=Gs`;%;cp7|YYYq6!*!^2oJ+E)j>Pm)gc&le2GK80knETGSfEZ=7Q*<Yt%fBjh%
zXbTOL#~pvBsT_`%y60oImL@)u9D#4=aW4}oy1cQP?@At{>M7HH&CC8p&gSd`x$`1x
z>`p)pH+9ui$*??qER|(ahuS%C>~4MBNWf~?$O0-6c{k~J*#&nkY*n5=p%Y|+ob!kV
ze}WC>=sB{=bl6<HEkH#rIz6>NZK=yM3!}<wG;A3oFnBEp)x>0g!Wy^|)n3i`iOV!t
z^pTJle$C*2|IqJo<mEla$Ej`?E{`}8bWi6BLg;nI(Ve9~BC;=%U;$s+xC|$9l=wp3
zHJrX1*@b){vm7cWN{Mbr<(qvUB;JfEuSs;M)&|s|5{nqb%TN?!&X_(8<;=LtijzpE
zs9wx~GwMmEOF}6+urfTwy>x^8UK8!e)k%>L8du?2+g`89j()X%U}Oj%2Iam+?_)Ry
z$pf_4H~=qQ>(Qft496xSU=Km{;{wQP(Or}Ka%bxBsrM#LG`(={h}B=?nec|6fIWKz
zpm~vpSctI3>xpVfSr^4E6?^5f6z)c<dHh`_P6Kgz*s<LseTuIPy2$C3)zCCV<iCDh
zmU<m-iLRZCx1ZRRIydFmBjr01CX!J=+~&jRK?pC0kFBkGg1d-#-k_1(m^c`m&tT3C
zL6ExAJ<Ho)_{Bk1XGO@U?6j)cNPAmQ*3<_p9qD)`TAg!!*-A<7<>3|qHKbLH@cNT-
zlNg&1Z?6O3%YPJ^8ARcKY+q#Di@!A8Y*@ts#rROa?9@~`m+t^R_H&)Co!lfly#FR3
z4II=qi0o~qyg(2;-;iV_6kJST5Ts;ZG}MWU@%1Mrw*|c~ut(CokZAr|$hE`m7O-?6
zVg<it{7{-Yhs)VkxnfWimTjoXaCV)tHL#h@HZDV==D`hv>cZB}$TiIqIi|Zz;;ij8
z<YO<i0Z*_{Q(z3LGEV)<9#DIOuPI!4Jr)*1LRW`J4(hG{iN@n+re+p}lLF8i=g$ik
zndk38b-2_rF`_@%V&K&czWxppNzx8*>Q(0d>3!)^E0!lKVd-K#gCH}z+}97TF#b$O
zK0_74P79O;nq^PN+zKfwnpXCXIg*?#6Gnp)Nyy$#VdzpwyBy_oZI9WCAw&3f@J7q9
zidbniXC-%KS$j)B?Tj*nW!OOVm6U-*_sq;Fd>9C9H2R!kRI-^ctmVXxGz22>(}#B(
zfDPOSD%{RM$CaTi2MUFt4$jDTH!lHr-ptvNQQ|<j{clf`;q|P9LX=m@-(J>a&Je#_
z7);R$yoKa9aJ*8%<luQKoU?g?_u({2i6Zyhqa;WdsDJE<`^*vYFC%M)eb^p2xbnT9
z+qmvVTbp4ZzZlV9tyt=^A9${Y!F)yw4(l3+F@?HZ7l{IVaUj)&jm2><mh?jN`(Bh#
z8@b5}(B#(w@GhV{`22901-N8LR8>{w-h8><P1FLUKMGMO;1MLFdHeEtrb{ma%;S1=
zubB<AGFnpdkVDI^XJJ~@H9PYbmNI^CE0or$yi-RDjxEU7Z^P^RS5ji4VkL%KIH!^1
zn;)Oh4<I?gA>837iC_A6)QpSr9sw1GaK6x!e*0s&mN)E#K+}L+FBBa6rdvBdCC-V3
zQU%3fd<J@pxV%m4`??Oj^wDnt|CzvZZ0hGhVLfv%#K(z_Oi#J_Y6ecnR&OT<@CQkW
z?pPWb%bd=THg^B`>iXfCUYn?L^Gflj_;mW?7Mxy|Yj3<|#|{%6zSo-4Fzklrq9;_c
zt;BO<?6%LfoTlO(+ErOaQj|EX(QF!u{lMM_2g~R5GtHUt_Gs1wP;%Uxr@6qtM<Ih$
zx3%TNz(yB+c1tNzSK42`oO>k!)O%&NhLOS9^1j5s9qrI)hNfSm_c0zlAOgt#{@h{e
z&<`v7`-!2E_sl?Oi@JY>r4UAxK;qNzFSe)4PaDjx+*BxK!m=A${g_D#l<Ol`+S_UV
z2z?%=AR__CW4ubk(ar4L^XG<@EEl$)^EC1B8h!%<6-%>yPeLsN!??xh$E3Fl67BdN
zP5c+eZhY$}zwadwxrkqARGM4S7#(<@Y?USOyrl(JH^sc-rf)CZ&L%DWg04~xwVl^V
zxO$%YI`U@YnkCnyjM7ldvTGstOzRRMd$loTah!O!(X8;dM=&=C3iYzWvRrTzcG5`0
z_d7q<C6%XS1sU+=Vt=$a@7qS$0yebG#F5pTIQx5r*p^R>6l>1S(fx7PnDSq3Gwx&B
z)hlYXEny#DbJC(jH{|Yp^+sdo^wv7rF*$qqdrVncEC?mUrJ9QYwG|*!kCop1^j<=C
zcI^E8eA@1(<yKjYiww|Bqy$)2Wq?-10HcSIqJ$4`Uy6a<9>(O<QaQ2$z%)cal~ft9
z^D#g!u%JN77#{;R0^R`J0tQuh0PzU(AjERU_@lwHe_mZb7Js_vxO@-N)3h}0z(<}F
zWX($b`?th?ge(Upn#ROe`ZkXgd@;biNiMR+ELnXMf-rZDK3~b#43%8%#e8S-^F{FJ
z&!y=_9t+Z~w@y*nWeQg-tK61s|3dsM69Iz5H|nd)k<HTMA+wcXi<1%i(FZcmD>P3%
zTlDL4?-Sv@N<CgbLMVgvSf6q8G1H$tN!xy~uR!%sI$C9anHA6ZbTttYOUUr~{LsmP
z3N;LLU;(qu%Y7-k!t#7(%KV2N6X~HM1>cMt|6{;|I2l!qY?d?lK1%(dapl*O^Q${E
z3c~BBB5uzWR89waJExnUT@5ztKDx3wV^u`su2kAr=Bbh}?#u(v+*SopLs}C}Z>Ml*
z-6h1kL0lzoFZIeuwK<d7w=Zk-3NO5d+I4hvgn@j1rqAc1hOdMCN87i5GXO6lK}xEZ
z^DW~p+$1C<M?kg%2a8t7BpRcP0KndnTMoeRsW_1>g6<5VIuvkmloA%>+ug+Oc%!_d
zCrfrto8YqTi?Gw8KO4QERCXe|ucIsiG1Ysk>EUDq!`&XYy+2AM6a<-1npBx|ueO4j
zn-I}^`y>uQN>vb{z~&1sbH{QKi&g;6);aD<zq_o!cbf?aeZ+h>x;m1ALdjAHW1;6i
zu%)iaQS~K6*Evl9F$gyQ*FpzhEjDEn)2+`PHoc;vm+ZQatVhVkCiRDXgr?p0ekxQ7
zr^hIaO@zl9W+bMdn&hkY=?40Sgc&t}JI9AxusZWUu*lPEgUdh}os>m}x<s$^u7Lr=
zkJDYcW2dsVAGQJ}E%Zzh_Tx0*g6~=3dIqb8V;6iw%k!5_Q*rRtXp%#eOgWP%`eG9i
z`a@+5mX<C49F@EN<b#FVc_|ms6PveYT8$68c`EgVU7$N{$xqlwNQxQdr6ZFM)hi2^
z>Pxc)RJI1{Ea=866K%BFIe2mtZQ7yIo8KRdzU95*4P>xzu>j6F<b$Sc>4+yrxCcPY
zgn`O+gM=zFZEH@rlHq3(#%6+X_K*@$Z6NJiYET`JAiPHmEwaQK7LoS7JA`*#{4_=z
zPX$(eJg4;nRc0|jITxk;)@~m3ajCkscxeF$$8FTP`K-l|(Kv964q#-=a5j{SCq$!a
z^>QvGK=wli7aJVWJwt=N%FX32JW=O!=%sMfttJ<ZluOFBq-}ob*H4E!t+Ktju~vai
z776%%sT-)oy?x7VkFLVUa-O`;Lv%T^HIjji1vIOgUZ#d;KJ>PEWd2ws_UqR&6{J~G
zi=r6r8(ve*c9Mw)U*E}I#RyrO(cp940(d0L-mRjli#e^I7#<=3FWds!qjEq99Oy-c
zgX(q$WkAyYj~Hm(pCP5(Y|-NbtVD2yxaBlmmV#vwmV~zm*uBG2?VgLf^$@08Nt8*<
ze@X0&tQ8esvj(of*{+44W*eyJUG`8iW0f~z>~ao&fV=N=arS|#r?x0B%zgO3t34y<
zGS@y(zmmJys|M?FO~AN`8qg^OU(W(<{e#6uU^3DPtUC;WG$aZNe7^M09k|BlU^+Tf
z**>3nfi5ixhf4GvM@PpYPau6mA<8iXSQk?|53#XsHt&fDHs6Kbv^Y^y64Uhc<~g<*
zz`7M|&E@TVzu@z^2j0b=f`<iZHNQa>{@GN&mj=_(i=-lwatN&F`<Ekbj0(=#74`l+
zl@$9sqWY(!A2~%#HZ<4j%&l}c(n-NM_+pg**F`JeMvl|Y2Ivq0_muyC^RTI}-+@kj
zg#YCa;OXNJyje(WZEY(&_F;RAjZ_!{gL$0%%$8@WpkXLJ3GM2z=vX&KT?%Y!Gw`wg
zHrxIyBs7#@(PP2E#nO}#;j2Hr-x0CV67Rh?noa%*#xp565$g!|V3Tzv;Bik(It3u;
z?>7wTOc0UBz8UAei*RvAr$^7VpJ?&-d&I~_FvVp(=|xIheCPY{g_DyI9DlFfXAFQS
zKE^O>>>1#%0F4?b_|5>OR+DHZNllQXd#Bk0fS*9Xmv3rn3OMu-$@`vl1F_dwUY)nE
zG#o{rbzcFtZaMk+c!1@k1k5Qx1m+BE7uEntrVCI>Y7Yn~8q;)z$X<B!gjf&#@+6Ei
z_4BS>n~mtFSD~ZZS_kiy@T}!yQz$S+t+#v_FKt1#rwln3XBj)5D2oWsr6`iZh%*7a
zNN0;~bM8&Ijfw*d`?;Dd(uAlcJbs_ild_yeR#Id2+17D#qP!L-Ajn|d0w2Slr{ynW
z8W(|!RUl8c7i8}kX!Y3qXay=Z=HSpz{{=)th(WLJ2;gF2nZS%=Q}t3aM8-W)dy9a&
zmcyP;5lA5zoY5@o8x+msW-64FQEr3u!4B68#~jLT8HaM`)U$ZhHxxvSH#9er&A01_
zjD}yd$rRDy8r*yG$4=BAl7Ky)ZeaXqs>%%z%hhl=V9iTjg1$i~6l8mV+=J0CQ@h>#
zxqR$!f6fk;VuA(Z8wEV~$4hXD8`^eNMjM(R&&;=b%X;7vnbMesK~5b=usZA1lfR2h
z!G6;lee=cy-v>RsixZFLqX%brpLkp^O{U64F(6=SG;ier;n)i!g7&fPIXlD9H(4{0
z)uapRqaC}-x9eGD>w!|%@#XmaR{DM!kS3v!&Rl2;kuumN4XACty0$64Sv+L8gx|Ag
z`c!VoaWPw7@kpoHU+D8J1BT*rCJ90F!o}AC9$Ar{yc<_d?YRS8kvXk6C_RoCM~(R0
zet!IgGoS5GhIXsh@w(<a3#|Tm{GMUcr!5zIGkZiLn)$ouCyp%6J!*Ekzi+}kB9Spt
zf1=EM^;wU`EUmz&a4jl?u7zK@Xe7g7n7u%*>Yrrtjd~9f7ZPOin>3oeMDN!F@^{Nu
zKmw(yN@v)y+r@20T`v0SPm!qfaMWsuC$s4CHMBl7=kGuDoHw_6Zr(6iw5ocYy+_Rt
z@bTH=dH0Sy+;G~5bGdE#wd-7-;ou%0-TKPXXJ_76T^SC;xZL*V=yxP%&^5pDa(O-A
z?^C6NvhF^*I}=Td>F={M1q7&=F|8O*5hl8c*e{A$5v;(Rj%je4|LDD>(s=hBebzs)
z7k~i%IY?Od5SRVj+Y5R&8>P^^6hD1p@lJmt+}smhVV`_iyTW1t+8dY(MK(AM=;gnA
z_kLy0V#u!}qN84QVez^+g#s4%W(mHIXxnfW@PuIObeV?^h;K$z=8;4$3H{jf;LxnQ
zgP{5}@V+*eqHlEAwD}Ml0SG80f_-~_5I-nrcsC~I3f{{f^}6TyJOnGb4##V3!EygU
zIH~+S+yp#x;TUFlc=(AHUxV%3sqWPWbV)!f3?m`-3A-N{O@`vXOQyR7>8TI?&Eov$
z=pu{+zu7NFbs*K^UvJNZalip6fyzDR#)yQ#3?@o3pe0OM=~^PTUMQSPac|dyK{3Vm
zP9cc)b2igjALhsP-=ZqTjSmn%$Ddd=)Y<7pt6F5xy{x@v{==Qtzi&c>^a>(Fm<p^#
z$J}W$tU5P23+dbI{7f%=uf}2(hAgnQgjWnBB>=~!8;p~xCsEmc3rrgoZ+hhj^H5eH
z!=JhDD=W{xb)o#U_hz=Hh5MU+wLo)0+!aG~xcPLzPmw2QR6i9K!8)ExKVRoV4<hUr
zl+L1fqP~UAZ_GV1i2+o0h6d#kXt3?;11WY5^2z9c>wT^~wxBpffgo}2mBtx%u(aCB
zc0rL+3p=Am9b%+Z7IBA39cgH!M15~(yIS-fSv0;?h4vCZar-?<`SUCnr>p$>#G830
zCcayRzHg~#D;ThqVmCFXqA{;JB=uHF^3vY0e7WU`{xnxqpt-Q4ZFj^utEsZ{kWJu<
z*C2wSFL5(Hmx2L)cVz8{it+3tlvP8@YM}sCbsEL38n-GDAT}%?yN;<uP#8oC@ofo%
z7KexBB`r_FO&0W?4<vZo-{JS(_oo_@e?PdIqJz_Zl*Az#%QI9fy!hg2xWw?Q6*>i8
z4KY~Rb;RGM&6Uz=Zav@7KXCMk<FEsD0w7kk78Thz>|-Or?>45vAP*~Z;BT@Rkdt`B
z$PtWd(z3GCO1MMj*eIQbyCZZDj!%*WE3;e=xwxBezoB%G>C5{`%A9t(*3cTcuBabd
ztMk{rF%l=kE2);xXsdBTHHQeEY`i^}s=A6<Lkps|LjA7jRJf?f`C`&U-syZ@u38F}
z)tZ=y)avF%Otx=8_G$`UkhISb!l2`B>%zvFY2^)}B|3;D6Oj7-_WC!!@@Zvg+Do=w
z*oR|MwrL*28&`NgbPK@oNiBy6X5HePKlm~m0Gha~V4E|=K(G+sjL44ybo8)1Qq-qL
z?)Hhv0^D=JbzUG-g@DkjeZv3RIOF2i2e<CkyhwV&W_RpV9Teg-SW6ew1MzxlolVat
zB#Arw+g)SW(%jh2CwomZD^0mBAZOxanZv?Aj-wG2VavMdZbBNrDEIiNw2JX3uagkV
zl)!IUk1QsN>pa{&=E$~N7`|zsS-i)<!n}I<7MbE3kg}SR8YG=dWeZA4B&}|fumcJ(
zv9&37<#<ubU)sj^P|N60Ii?f2t|d9)D4ia+xcF1~*pJ&lZVB)P7S)y5$_7Vj{^}`z
zz1dbMr32v57?mZEWOgLF6FNf%O6xnt{ex*m@3y~F9M+cNMFM-7XV!7Cp}K8JgV~Iw
z$*uphJkKdJq(}-2!i9iI(Ij##(!!xqc`byDNaE-L3Nx_5S1B7r;VZs1Np=&am0Fwn
z9xXy*YF{p#%dy7@TF0CV=<Zm5AHTS%_@l=+F8)Y9HZu?aeE3Xkvv^!7(I$`g7|S~D
zcR`_cEKin|%UKe_wEU{v4}<NIK0dG6s*D#(8PJ;x!>j}<goG9fJXMnkIUi3<V`na$
zfmI47$^{W%>Sv#qh4Qgvo6}O&Pg34)6rC<}z{-%{XK4>fZu9bm|3;IKi7skTRZAJP
zoL@mNZ}dxpFUONL5;{btg^yOHT>}9R8P#=d-kTtdE>}67F}8^>HB4FF4r7?DLv+}3
z@cF_$KZ(gmv46Piy$=mG)V#X2(|YZEZ%)(t5(8;*65<2SEt!RVq5zpnMd+cVWd4RL
zPk*=dUcQm6yuQ8IGTnUSIhy=Xba8(}KqinvUfKe@W!nI!X%r%41a(c=RPHG|ssuRD
zR9!L|_`}iM5b*Sg**b=f&t81KdMCGTfu|2$_C`Q)s5Hs8y4~1l$qHG^ob0R1#y1R1
z{7Av|(IHV6l*$yXmk<Z?wwv<<9nVC=7wP={+J1$K^F&IL-}oS!StGj6+F=)P^6!(s
zR$YK6uQ6syslQ4llc{<>6bZJ){`>);7yw$k*<=5@@g_@BJwu9k2@Y%P^UL0WXZYNi
z^dDo+6$E4yHS*ng`+$5m@iFB2CxsU+_pP&FE5=!j0unkk7eVXDxS`ea?{c0m!+9=D
zQmmwGtfu6HX0dEQUcQm|X+!u&_;ysJahJIDr7=TqOih#Gy--JkBZb>ZcD^0yOW?G?
zzd9?q4&c%zMzth|4$DlUiCQzJwYu0gqCuf3dSsuC;<DG_Z%E*iTK9+~Cvl%;V<68s
z^u<W$zayB=w!~V`Ac`b6XF%c12Ta-R_u+fK4B2Y|Mzcs0y@O!H`4xjQYz+E;K-a=&
z4U*fx_jgYSw(}1)AWZDXh1b6y*`Nc%k(v-1LxVoCIuUjUmGO8Qj^iEar+<oQl?tk+
z-Iq^^S`>h4Mb2K&%q}JGitR~Tvn>&A2F=g-&BnI?Mt(HRV_7_uHoa>8Bwk=%n*JYR
zbzKWpaAlRTmCsz|HBGxm5KqkFgh}e;e*5IDmC}ko57q}d`^3ag-4kob+QeZz0xXde
zcOJ@|(U2t`K0a<xlUe>xjjfVP)pY8z9dJr8(jMEgPi<hS){XmMHM>B3@mpejNtaWf
z`QaC(eYDdIIn_~%(;Vo|cD~odsA4{rg<TaH4OL9E64KgoTcKhW%K(7bUAdOkBThaX
z=L-0eJO}uzJM8p&9VC`29<No&dBA@Eqfi<*os3;Bv9sgn-)&f#?5=KJPLMyK56W`<
za~<(xrNor<4C-tk&e(E~NLk>yDfnvTQ1s`LuHZj?!BBaUu5+*ZtyJW7^p#=hv~*$3
zA^ggdQJ^c=yA&$0<53?mXWVe^qI%!o^J-GTE8HTt<wlrZSrQ!v(WvyR_W`J0VyyZO
zyterPh}=~3mNL<LAyTR$!x?Mn0e}rxd`zK8ll5k2WtnBeFmBdux{R3u9`AT#`mGzp
zX}k9sryMU|slHrIC6Yr#z25{A4Du~g&<5B${83>o6r^B7TvVh~j@6W@)x5a&X<}m1
z^U1{Oy?i&SUG(p-=}V!vXQRDVDw;ZYvdvN3_252Wu6&;h^W*33Zq$W^HDk46S5Scc
zNY8PO5F(gH1U|J`C$-&!<31(aurtNN8MGh#Ie%QT?%X&%IV_GP8M`hvDx&@wzi)5O
z45=16%!+-tUu3xmfnI{ma@l>Sm6trey%Hhn3$INwM_B#NVB&jKr+Cr`pSlR0R#Mk@
zzq~g{z8|0P#@8=Wb3YL%zrp5x8!=P67V5{2QTl>FaNZm$8>9?cazbcQ0O`T&=VWI}
zG?i#`atXc*=sHPh*XObZ&e8D5(mmr<W!y=hL5kp%11=r>h5j`kFcZCB1$~B}{=IS4
zCv6N*b*GK}(wDzRojWF;w=4-n1`J&;@7X!iAn)AQfZIY?zppacgw11rWEq5#Nbcbx
zFy@356j**jgCe>&l_DPNgI6EYacD<$CtV({Q^OuhXO-u{l*d=6$@W42p>%?ux<O=|
zJ&ip_b#rZ*THV*u(=`6gZy?CHJH#Y?wHk5Aq(|^-r0v%R%ej_@#w$0T1q&fZua~Y}
z3gZvw3K;>t1PaBwvl3NhpFA{E^H_iHK<}pA6Zy&B!pKsc=J&h2_Z-uvrv!(KrFd!f
zF5P)@V@W<05Z9@18ghQ47$D?IzB^<LIEp~>B=SdV%69t1Arl<`mD11zAOxo|no`<0
z>;7}C6+uz#c$u?5BiFt@^lu*?iAoel0%Uf0IM$9`L~`S)o?3`<sN<%H$27;j#n5xx
zk-Zu3(#`&Z)!Ucd!;v}wJ>_fuxB|pcraH<oVwTE6?=0Vk<K2cx1M(fq0$0uteWfW&
z3~X*NJbNcA5#H}M5`9jVhub+ZIPp&gw(uq0!+`rW9pYmAwWrbz$BR1iM)hEOW4I{O
zrvqYcbxg~z7b~ur^r`3q!IwX)Ay_F=zieAn@#5Qve~x?lQmN4v7Hvc#?}z(l%DXKy
z2MHp0zwaCN+;@sEEo3JYTD*mKt+l>jMEd+9;0`(F0AHSaw6+sX@eckTO5)$`df)8k
z@+0I674I{qQzH;1+}im0Law5QbIWO7v6Q*B$?;)#v=Rr7dM;VnLnGLg_LZ<d5@dlA
z+w3RE+Pk+t=)R56-t&Jcl8fDW;1}L&6T|N@K3SNa_TC)WP*70Rj(?!!x7#gE!75T;
z8nh%e1v$cLnetlZ0lBxREEMXCO_7uz%!9p*eWB-_d)Mlsm_5+_dg#gg9>nV8S3bSo
zp8}n=dS7$ZAGPFuMW~!N?z<%5p_)HBAO6CC)S+@2iI)QcXpY~9!?$4|w#xpVFR<?E
z(e4zUl$X4+*O!|Swo%d=MkcrbhM?s09QrKi+Fxr8<y-S}SK@sOS;ReBZ!@5=t}n>G
z(P4UmdRw67u0Iw#W1rNGxzFZGoYZs!QAB=5_T)xGX)QU_-d9vDvvh5)9d`-;i(Hy_
zm})xn!b8D+T1NHO3LP1Yfydxbx6)8u(XY3OO>51T`q*6GFfJ5o?Y|TYnL&6ASllt-
zZyO*n15j$1Z-Li8z&5j4hZ^?s_1W$7I&nb3jcuFvo%@27$RMu`J=}cfxf=j3;o7a|
z1|y$<p8sNtlZts>u>@vwXwl0HR#w$6^FeX)MLhX=+!_jewNRH8RYTP?uHCCI4Lu%z
zgYrXdmmCB8sjh|)=rotk#WLji<SE(amViz==wp{|e)~{`n~pmL3&->R{cWJ0eu<~A
z&bMI+`%0c~ez*}X-RW*LzX@!&m{hv-5Z}=zAiR6z0!|=NZ2RZt)0nLq@OZ{?(?YKP
zxez7#T50lzS8z29oJ_xOSC(}0z^==nMAUAMGg~Y?G9hbUnVp=LnQBY-S**9<FJnpI
zImyr*ps(b^vb5}qu$Hb{Z%V%2&$K%?L>_Rf>0ac#IEE)r!87mT8k(7Xj#E;mA<L*?
zdBan)Q$^PSvs92D2-MQxfRy7W6V4_!7+;?XzEy1!2f^<QwC);JkyOZNG1JJUn%d)3
zozOQIcbq3l-dRNJQv^)HBudjcyCQe>#Jnyh&iJry{X`17?kNu<RtTA882uz%IOvx+
zxF*G&ed@1bi2B7Zw`)kHTMzN|#O};ZTif=uH5S|>ey^fi`llPV%3u<xZ-YsgtYXV8
zJqG+1Xr{ZKle3<h^s_H3Z3meUns<Liik2LdBJlXISH~*}p4+Fs`fNUdE223_FD#3z
zVi(XocwYq7;HVs2|8nI-{#V;4UnN|z+&+_hX8fS{AQ`m!+ojj}-IZ1X@Ih$iQ@RNz
zrJ9L-&t9zd*~;QLM}asv)BgCq0Jyl`ctS0QsNhA;<Jjq+KYlK2S!L-Ce{Uew$kAb7
zQZ3qv6&&sXUdi$_0eE}+qeYK1U6p2*{+b}Z2YAk|wy0UIkjCN_SzdE!e)Oj$wh62V
zZHeSJ$~%{eL@>a2wOJ+**E6br5dS1e>!SE{jt=<WY^2gaW^5!bOl&2Z``X1|a)<bk
z*|*CCS4wAJPYf?gmK^HnVQeY6>Z9KSZ1@oXZexN0pg=u}WpM?QbqVjMTGaNQY+|bn
zQU_IaBZ^FS5mEjZkSRV*h@wO(C`#$Ia%bt8Md|jQ9K@wyMX)H6@Ru33&OXiebNEkH
za@eW<4w0s1t=e5w*TN5{8v8f_3;N%asz)t!X=p4n&%7do3%IBAG_i@(W15bGIWT1(
z!R1Qs6Z%^1%`twwzMVvQsa*?^Xr6+ZQwf-)=)@7kP$x*6$p1BXdoqMkcP#f^ayE-U
zYtD(373zYwc=w^kPMhuiuOc3)f=#E)d6sDhD(CJC6H`4pBL+r|kvU0CFC{F@XAk<3
z0`sJ$IBP}jdOWKv&9kF?2tFE!3od>ieRB8Zq0;e3vC?2|N2cJ}{!5JSQ)b+B*!@Qz
z^LZ9%YbriBIrv@r)wB|WUE(*~u63q6Hs|AW5S9B<2V6vsA<@;JUlC1OSl<#(pg6>b
zi{0t}Y9!&aVsWJ`;SX>W0(t1HwmGnK>8$2FLuT<hpGT}8=r{JZcu*UQ>Ij=Zc8X3B
zYk(wLD^{x}Rq@UXRs+8lpm(U(+Ez0PvzvBb`0;~^=q_KNt2|ZQPNPudPYqxLK<ltv
z;_Yhz@ePikRgr%f<M;^isnPyp+W@5z7lsuChMm2ZGMI?C0EA7Hp%ky|qmT2A9;&RE
zLSsm9)5ds*3|^M(R4NxV2wuu-sl#cFK&FS^Q~0J*OH#4y*r{hy55o}?Do2-=T)fM^
z$n9TIXPy(>vOm_`iRHsQRiurs;k41-(^=OJmju~GN9uE-`=+>frdCMlUrkWX1co7Y
z#AR->QhiG}V<Q_P=$a<UXoCDRW7!w1k%oX>1McaujYdFCYVoDniiD+(8i8dYMt42n
z^UBbahSW@3<laNOxY*seN(#8ctlQJa7a5_wSRgr<aj+jjIFuv9utKtUW`w!Pn)BC}
z#B$ls_^G70=r6&pCSOv*QWRA^vwqGj`UFx*<72v_f3<c3MwD1Nxh3W(9cp{AR^w{D
zEp4Es%}bsCql@d(c_84X+3R~H)@)9sZ&V7_%ZFWA_?2vqYSt!=UfW`)0~j|5xMRLR
zB|tbGo$g(@?Gt_`nX9<9T`t4o-##{OH*T{TpUyk04fZRu44^o8-0yb~??~0@ww3Bv
z*XVxv^sy-nOFM;t7Nh#3s0uuqL5d85HQ)5uc7)GaO?gnY$^uT`aet|Qdd^Q1+IM$o
zL^a}D<1*1JXpnoAJC)upWebRCrLY(<>tZK6zd}Flkln)3aj2x>$MNgu;UTlHMmVV`
zB4MWwD2*HX8=isb04mHt<viK2DgZ#+ckQbYII_e%y7|%hR=p-7smN{UiGfvjnoSON
z1>ie1)k#yL;iWOOdmpN@^kPeSL}s4mN9!)rwG5GsMQYH93p3#Z_s+D*{_9^Cs>CZA
zfFUYKX)!g6YKE)ImKxw!HYrLMK`g1^@czDGx7<wwtB<d!AFLiP;NBB+C}(^(4C8Og
zs?Yi`^z}lsCgKsaY2>(VRnXB}FI<8+ZKB_7+eydbZ|=6`K9TyXI!!+82yo-USjA3R
z5AcnPd^iNTm~m?739S2kHOxv?p$6N~v1&~s?affUNe~uZA>57n?_92li4LpV_r;Ts
z6)Pl`Tc}zU9gzpqfDK^|f=5~hEyMrEMX8JKTnG4(ZY|UO4-L|@;Y)q^|LiAFMu$L#
z8Vf8_`=e?sXu==Ap*Hz^wP%?0dzy>py7x>`j3<3mwn3E@?J4#fg^ZfyrIZb>1TC5B
z!no3ly!wR}hI9Ngbwr|JHjN6YXwJAybRwc%qt}!hlj|H66l{i?<a3qWvFlMii%il=
zLtbYS1z?sj87@`vzly@t2SI}Aexx-cWzi{tNZ>q!!7GOL2IPr+jPActn_vtQ<mc)x
zzGrX2BOc@hFd|f9XBd{-|J&NV&?HagQi1_6(ZDK7*VpV(N@rz9<bcswJE+FDLM)TK
zL;=J)^=P<1rE<f7C*4oZ66y&)sL`0+t*!wD*JQkQApzX#mLK%sV2Yx9vTys{kjJvW
zCsE5*Tvntmb6&Inpf>(O35l5<r$d(R&%V7PX?di~L{j_LPJ!(>vqw}huHWgn(H4-e
z09)AA(FV=sD$=@iSfieKT{}=)ssLj7%8Q%Ltp2_mz4Z0y&RDA~>pRD6PY<FPTeL)O
zVb;7{_lwqA%|L$c$QwZ>(XtNxOer^K5V-<yW$VakiSv9dLln#GE98j;F+GLAlM4rh
zC#5}@50Zs60(+yCI-b1>*0OX6ZI+IF9;__|wlSW(v2xa;!z5AkL7QD)wWin`2FCY9
zt)Wo<OUK<`wvr{y@pdCKwYeA7^G-L;->YKx&n!N7ka5rt)IT8=HJiGniSW-D)7`}+
z{=)^f>r#v%;#KZP!o?R^)+$Ohj*o~Z%JfwbpI%rG5WCpc-+w1uby3z|T?Vomz+RT#
zgT;10Ar{&gnwfTen^w=``fNg}opN2;yb}n_X;}}a9A@9{h+qG3JfaFGbLiME#t>>D
z5W{X+2~uGGH`mkGzZzsM**8N|I5@xYuX@RaIV~t@o{MB(n=tQx6Yn0q*T%GOuzijl
z$c_=B1PZL36}yi(zZ9u7hDv!<x1v7Zy(zP``mcVir;5kRSn;hDz(<*+Hu7AkE%MN4
z@QYTj4y{{tn`XsC%m{}}F;h8&-Vtf8BX@HUiAUTJ_wIM{o;UGswf-}HO&eI?vJ^O;
zovUIJHi7e+MVrdp!yJG7s~qh_kzc~WKIcUQUg=AqKPPwWg8b~WK0-@1pz3=X<*KoJ
zGT5+gLeKF5Mdb6%sFo18euMFTVqgkY^$>}Bx78DoW1+y7+v2sn2t^it%G<xtO%?qt
zBk+HRLI4Q)XvZm;phJJd0Ovgi+Y9sgG#kC>+c$8V&qZg_g8v{5;~vJSs?1l027LL^
zB2xA(Y-KOi7L2sa5^+>;O1jYvX8cc518Q*#+59anS&Lm1ITm(9C|k0=@`nuRh=L<A
zUI-|VI4;30VFOangBUE(4{Nh|0dX&6hT>se+5{4ALjUAv*Z#%P!pl%kL|k{|b_RO3
zilIyDsL}Qs@Qnb(K?e1$n+kAC>VEaD<LiS_+ap&ztdO<vbN9kiMr}S|2KLOeQ9|Uy
zAaC__udl;E-RlXTxB3V{_~W+*aNFFCX4WVmP}zxlnEHxr_f7Bcc82b(Yd+~Az*p=l
ztf(kFvGkegkHwq-P$)rSYgF7UcWA=pi}0`W-chMD!_0Z`l$bhJhBBqn*+(E1ozKIw
zI_lY`ZCtK})YC+kN-U#<-tF<QXA63OARZtoN=trr%a+KFzbO4RRuEFhCR80^B#Qv0
z1yM6QRC`Jc>r<I|dEpXc%9}Tbl|h089JA97sa$zz-aoq+B9cbc^v%oW*$tk|Yg#5U
zPDkT1|EIUNj>@Xr!be{)QIrypMnDlMDN)iOBn0UOl?Lf<5ELY(TNDxLMmnUsLnH;1
zMi3Are{%zVew=ge9ruoL$9?}e<2$(bT5GR0*PL_BIoI>x1WJY8&tC(n4;$y|u|Egb
z04ej-saexwu3J9C30A%Jm>-`?Z3W5hDwO8Q+x&iMBX5I>;Mt&&96BYK5qtl8`j_V;
zxAb3}s*SN^6vpGS`}{LV6fx3p(P#|LiYfg$-Lz%7$AAw5neY}mHQh2+mJpdX&#Rd+
zoMm|u0$Q>PRf==J^X6UI``?BcHZ);Ml$4~^Kk1=Sh#%BYa!|D$Y)QCb*LsNKHO|D}
z=}Zkl!^q^>A{hyN0oJ=b{pCb>Jq_wQ$c48gU~Ghg_(P{OqiP>>#`fQZX%7?(ImPXD
zPaQ0Jq^p|lx2lz|WZ;J}LP_~m=I&P+9`T`_2<XEiR~~Dy;tQrZ1K*}i+~M6@agIJA
z3CHO&eC`wFA!k`QOQvqxC>M_l!L4N&vq4xwFmd2GetW)&kWl=*wtPqfFAqB#D;r1W
zveFyt4zm9n@;;269e}O$IYn+uIlGR4f(iLve7x}kkxZrM2ZMA*?oz-x`>l5Bti(kE
z*{&S&4{DxNYTABh&>Q(IpGhfc#A{Llr{k*>G2LlfN4N}m4y#Ilctx^Lh~`~gU@z6k
zGMiu9{gAR2@2;*^wMO4k>-(=ee&*=9DL+uy$K8y$VMGjkv@Fiswh8awKmOJf8o{D@
z61amslVv`f$(#d<pWBZgKmI&rXZMx1r(yImxK=sOI^C0G9Buhx?nr)9pYu3(Yo_tV
ziO{@^dj0;la(5`{kG)ogyWTfVW#@Tp3^MuN751@UYeyzr2?<p*(>^;wa*OC?*p^!9
zgf4Mx;8lyr-n;D_n|DOscbM-F%mO<HAi=QsHYgqWD1dwDGwy9*pXW9Mc(liWCkD)d
zPirWj&}i2Aeo7DtX4q3h+&!wG0KIQ~dE+A&PM^`uxf*#3=wUs=0_0v=iiHbs$e(c2
zYO(jRe2`){>2C7m<hzg^N5^m0vi+PX8IpZWvGN-0Imdta#rO(HUT0G#THZqCe?8UO
zbU!4!#o+xEG4DZ)?782ifhfG3+v$n7{vVV`7r(XMVS>ek<-C_?PLVu50=bn9n-JLf
z#kj@q#hx%AqiVAEv3`((b501MUtNB2g(q)2I$|y)TkJzif0>fnd%=1a{6<wj+6ba#
zUm%=xMS!MucsqRsc<Ut+SyMenj2FW%>=(=cgUnrmq+TeQ@6RwIx3!*Z2z)$B7w5EG
zOIS5GSZqa~lA78H%!!M`B@<BDBP1^$HdBEBY6%GZ#7-YNh5pG4f1$cQ+QWGYO55^f
z=ly0yr^A?Dvc9Ap)0ahw8WQe3r1}J@`3rBY8Y2Yh=d4V$6lNX@`B57RTxXMpNpmvO
zrm3@-*J_mQy=TI?4tY2hNM66oJ(w_yDGAhVU{S0ppBpM-L#kHQN@`BJpLA8waLR8*
zDlN^XVr|CzR7^P5Z1DLAD^6YA`u^SN@Wg{q8PF=97o=a$<?o`n&;)g%J-PND2g1&t
zF<+YWK(oDe_p<r-X~zrrUUF0bu+a?yc!X$BCHkBkf=WsXZt6Z{XuDfj<25R&XHwPn
z*1p9pV~bA)Jlsok>(&_9=IpKxT4|K3@s=zBD*X7D#1!gh6OYJmy|quvKhD;h5%=(r
z%CNZU%|N|`b!Wymy%6)rv2_dzi-PiSg8_=xI}OFfT&ULJH`F4MlEOwtMlEYdIXWWM
zLjI&LGt^4r6BAFyx$NFT3ag>OnixQ3tNl1f^frFHXlnB><>Oqg;=^t9)jlLE^pQIs
z@Z%Ok9(n$9LA=zguuFt3aq*<}=`Cl#_RQd!(>kOH1llR@uOBSCNO{-{cqP_8g_UjW
zY^h`yB$j{6HI7WS-N->J+{iOd+%X0p6Y5H8_Kb!-!}oI8=C^kEPfDp5KK4pnz%IKY
z*Z*~$npSw{%U*R&x9OH42?~|&xhj(pHLBrkP%|fw#rE1WM|B;^Zv009cyR&a9!)l-
z)~*PdTzkoM{$=wW0rTv-xms_{spILH+TWbV-4%;^%v;K~)l&?upHgE|@R0&-sL5{|
zC_V?sUN2y$$5&9dySxjGXA@rxGX<Z-7e(75mCV=N3%DZN`yI_n>?mGp)v*HBD{>hQ
z0BAyPS7wdQBYCRyD_adaEcAv@lq@SJD5*Lf9qC&h**dI_MV8jRvn7;XFXCOG@U{H3
zk}Q;<vjAFaqPCP^lOyJPRckEfU1EUC@o>K?q#8`;<~qx93RPX4sA=ti$<R3`?}6Wb
zk2=$VmneVETA={L)$>gJZ~N_v2M+Aogdh93sYR|@<U@V&>@B>qj{+GK)QV>FF$pF*
ztedZg@pf_tNtBs}H`P;+Dr21T)m2NBSCo~af`Vs@_|CC*(7A+A(p{S(m--O6%%MIo
za<k+UrK;6W>i?1i!7C>bF5`RXk*^M-+=Mr-Q2sdf9mx^O`YtcL-YvwO!VvF!`@By?
z(-~6RP=Bl&*~hK)oNB#ZX^{W3GLgm8rUQu5m%P5E#<5F0J={!hrzd&ktY|GMj#WrL
zB^9rb+$q(M?5X!&(XP$5pvrA}kJt28X<K=3?2xID`43a!P2+b2O*QQG{$#nUHV_1Z
zFc^7L4a#7Vr2AA6%a!SAU<|*+%Y{@40MG$KhE!a<^#(J~*F^V1S#X_Rq_*;8l&nQ5
ziz^^|ocY&5>P=yu=-PUz^YAsdZyj?YMBxt?HWo7Y2-Zsa#$zWxfJ3h%c@f*1c^1lu
zEQBndH{@%7OW=#I7pTJsYN<2VXMl~!*3N^6S^{Rl=K$B7$nZ`W%1S>z9Y9CjoJj~~
z*xENAxks=`{1RP-qd&cj_mV53km*oL@#f~}4iePfAL_aIn&K<ePT`SXhQ4Mc_P#>7
zDpIyK3+Vd#ug)`oKj@SCL{c_Yi?A*g1_uS&|B1_&IPl8vv<|UgV~eb2Pd2ql_YfHr
z#kLDUNphCujPy2$yzt}4mt4Oacm0d_Fvn3_`?7(dVPJIhppJATpwN!xbxRoLE<(XD
zf*%Sjt%Tq|xD5@d4(}^<8oaXMX0Osj7=)1E%x<D1zeAO4*3TY@kOEt?u3e5BnUbtM
zdX&BU)$EMMzELZKI1eOLW#weS$5egQy(Ce%>%!@e1K-bbzmMK@Sndjv8Y~to3rka^
zCZP+#EV8XB{+Jf8rBgSn({_^FJN!GP){`ex<W8$n;?XzG^=r8B)&)=m<mIuasTSel
z<Kstg7!nlQ{20mEj=5!#rPoQtv%4_?5b4s*Q^-z-0&-8JA{MY!laiA^!9|B`uospK
zU+@EXe<`XSe3FmeL>QeCi@Yumb|aJgH}x=NU0BOwrB;u#Phi9+sRgH3KnN_I{#Bxa
z-Ww^pQ-Q?g#Ro|P&Afzmk}{(Fc%^KJl880wrsI4Pr?yRYqg5`tv@#QAznPZXRs~3=
z{%~Q40Kpm6)TBOh=8Wl&vh^oJg=Tl>5a{<CMqfPSQsv)*<`xkVnI6ccHLlpP7LR1T
zJWj(Vw2fH%z)*pbaHT-}dy`jkWQP`L#00<iGhAZ~u2Uou$j&je&%@lx-mzGoE#`gP
z{3A8F-U*k}ai%p1pErz`>tlE61NDjLC&_<_XNNOiT%C>KX-!EP;^441{Ezsb)>TjN
z^;mWmT3N!Qx$WLe9lJIu!5VUpGbo#iOh38>6IBO%qL9nH*h@RuMd>ZKzKvBe5CG1@
z^yVOdZX?LymTvE%P6uHYij*QLUT|y+N>W_M%ssYh>_mQT>+)R%Bwm7p^D<kr>Lisp
zr;?{_7MG7`-QqiW%LjX=Th80R;x^G=xn>W4n!t~0<%T?5@0dY?uQK<GV_rgG^IB)>
zU(=Z*Kw_W_1gynB-=36BtE|7`Aoyk0_-Bq41xJaYJrYH*)o?*cU%FSVkoR=t5dW~s
zO<U=TTp$Z~q;tH@I5jK5e$ZLqN)X*W_xn1m@?+YV-Z@lc5+9fEv^I70u%5MKu;z43
z)?O(uHpU{aNW+FxrbqMZVWsRG9olXHxr&Vc<?FSo_5_`z_wX<j$UsCaz#5#5&aC<H
z!WcG|1OV|QPBV05e;!`Cj4Qq~K|5+dUeJ}1rZ|uroE+K7E7S8D2Sw#<V<JT%PC&}t
zd5}4wVvQXB+mP(1OXM-t)0nNc$C~+2cRr6UY3tm`Y+&K!s*W6JY<r~D9-`Rpbsr*q
zV}I|55{{aN?<aD-8qjn6RD^y8XVYg9X{A;+U%X)CcaO(5Jgm|@!3@7dC-F&L(#S<4
zi|X*$fl?i<n{3<zM830;xIeN^!#yqfk&@ry8%~Q3uYC?@ooc_ip!~z;2ritfy+mFr
zMuS>dM+@*{u8DAtHJd8>kf+~JX!_8GluOa`QAd@Ze`Ur~^<37N$k?H<mUDVStKu(h
z6g>bn{BvP_iBk4{UKa;PMBsZyrOvB#bY_)@?6~Kb#~x6jP1iFq)<isOV{E2(J0FKt
z<wlw7e&1SaB`Wf3%lu><KngI9yrvTx+Di4e<)nv5GPvzsg5Sf8sXhdi{WD0v7x2x&
z1890|&+Z3~5T><#=Wrku)uH81MPq!u|GGt2DR3cS><dLgB%X5d%b5GW{uzzzIZxZA
zE4k<$IzVd=@3(yC;I1B+8)#HFxQ%Bglr#f3&OQw<xHx|X@=as}H6o0|0umD*NDIlx
z_k>)<eRm9bU0{R|xndLaRGpqRrYt6w!Qxm{C$EjbYa9de@~0@sn-13N<e%Li2u+I^
zG-GWls_=-dLDnst?y9KPiFfYzm0<{{MU_Io&iBr1DUo!v%ogFz5us6z+rZVq3Aj7?
zHYG)V-GqBT;wwNSj!Xxqsr0{ExdE-@lrrbFJuCSGCY#e@+9z3el0Da9vBq9VV3Uc(
zt)K8<7~*}<K*1x0M@0=6E?i~}?z}@oGy+AApRE2;z)3WjhFMA99w6>Wn=N|x%Xe&r
znsq;Ubw9!vKEk*<qf$VN1G=@YU>0b8#=Wh%v<$bk-U7It^ogHO0`2zS)oQGHZ@MoI
zf!7CM5r(|g++H?_3Y`j^chtace5SJ9%LhC)LoDmEwBl#<gpVobwLBzZHKY5}*Hh?A
zC@|ZHq{JNbrY|Pd!0+<0j|?|yADq$CJ{F~{lQbMzc;R4T5->`<g9aOhYW;xUO6X+Z
zyuF603PDWwvlMyuH?>WePTM(me+>ohV}A%F5W&MLH{be@9Jae$P8l`am+XWKiAS+L
z@`;ac3`zx9?;$DU2s39saz$laE23XR*$B7_Fz}p(*Sl{e!|Qh8!_|T{TU+uK%wE32
zkq7ylx;#u<>UN?Mf`ZFYL{YtbFL`ZfYLMaqfSV2KE-u6gT>s3g>M>lA>Dgc#!olAb
zG#n*Gv?N5qmMMPbDsf?N5E0kM>*4U$1X7ZO{N^i}j0I@ev<tmD#)5Gf=$X>Z*M8LB
zBMM;Uq~X4P81GO7(|k{cGHK4H^`?&KLpi_h5(2{i$%%=#Y^&djDaUGdSnA}@Ct+N9
zI6~YK7+{)!r%wk7L-5YJAA&Xw{M>Fu!KcPM&30Ijt3r-u6<$iO(&>nnlq2n0;!nuI
z?bVyk^G^Vf=Q5kD9|`NdVQ=7VMO1rmX;-aZ1N}TXcjtX;EW*d@KS(ZH@-#ux<F3mG
z+G8X0n&0b0(AIog8M=l?W+LAjBURDJOySbA3M_uD$v)eAFj*!9Y;0rcH+6DAR%9zR
zOvdCJF~23Swe4r>;dughzU_nM6sC5M0JU|NL*eNXmr({CoywB6i07=VV-%8OeSVQ|
z)&G1aG4lNT58NN{{?-1lJ-}0OjZr}BVJ#1F>tE_4v){0C)8R@WoBmAO42^ZW*VFYM
z(T!;$>O+n#D2pp2UuoD7Bs3(*03g3K1^#NMKl3BYYjP!*b!^zNr6t1FQ<KdBYhQRk
zekSi5Q+T#7ex;h<bz+O`4ed{_Z%K2lh(1<u!GB-n?6<@0TdliZXk)!sj#soC5lOUU
zV>m`|I!<J}N@B*^B<Rq-z@yC`@=X&MH?p{C136mGZ<Mf@lIUMqHm3imiI{_hPE5)D
zy^DMYZs4_VMKg^NN<G3h1!C4yG~T{wE?WZ8B90mWP2J5BT&S|~?9-c#9ziBqIk~e1
z<Y>U(-q>im_V1IX<}Dh*JkcVm5z(SRG{S<%w=4;$Gql;zcRTwGbt*?+ek+E=16&q+
zqT>f3YO0$~IB$nE1g;~oc;qJz#5UtI<76q#NV*>Ai6)wQ%vEe8ev(r^gRt~&s1@yX
z`Zfk0`g#*~`d0=w*mQ7h&LY@fNF+i)U@`H%v_$KX9FdTWE1j?LhvQiHn!Ry(z{&P5
zI^XH)!qXp&yF_ttoQNWD^<7u|T$>hIGwga0bA|lFHTkA|GlP>CXLMyhW|8D9r8UId
z2##cX$xX(Fr0U_<Ae$EAV`2X15%k?<(z8UYUZIgSy)|sXg~9t72IN8U_p(iz4|>LG
zMePhF+ELUyzGujbFO6lcD*`!Z+Ku2stlQWlu_7^l`+hH-QI{I}v+t&Lq74x~kL5jr
z*VEY>i(`RdPwN$lYAB3HP3jVb<Y4#Z(qf+GCWO@WvKA@cv0Hx!XDRxghg~N5Ae-}J
z0J=7w78TpP7|NIy_WZ-f+V3*P$YEvXKut6hb2?MKSZZ_UKCn$siQ1mEKE`$Oi`|*I
zfzc_~y2Qr`&(HebJ2i*BI?W?<Xv1*=FH^}iX`gld+;~n+pH5YV^5RMqAqKg(&e_xx
z+ep+G?g{BQgllt9)yL-p-o+Cpywm7d42*80KXOYAKeD2|YCqLJI)@N+Ph^6tYM@5q
z_6y<X##H!09oV9H5_r1~xgyOVPyl7*cx)ubkot{!M#SLxtCLIOal*GXowJ@N`LTc&
z4Jt(9nfO(5jH?3u1xr^$DBcz3lY%RXfZQDXaIdqH_|JdvmANQN^x?X6M|;E5uW(sS
z)K$f=H<-M(3ERktp>L7PBfLMPekZyqBBjaflHoz_9vYy*@Q<B2zuaOu!ey&>fiakz
zXn8Oj-8Y^nzA5{<Icbk=|K+Z-*Hp;Wp8el_DpKz5-)ZMJYoB~e5QZo1Sq1z^PjS4q
z(qB-QH2S?Tf<jaR{0zhzQ6vYF$cmb|p3`b++?yaQ>dL~7N<Ds&f2dsJ>b*R=4(kp9
z?YgHNWYW0UsS#c+*U2BGIf1J0%2#JT@Boo+8*anvOt>{Zw6{-rS>18@S^XKW^(s+(
zI^D$kl-~=Voe|`dSyuacS^Ncc3Syr39}iqwWE`xo@bB<53Ouu2mawPkI<W&)I&ZB6
zo3Q2T#Ln?%!1YY!V$*<`{#)N!?e%8VB|FXjs5PpeJk+$Lfo6#oxwO2jIfiz5n4R}0
z-oJ+HXi(5~5fUqb!LNNGSN|d)`I^eQ{RaRZJ(wgfo>pHBVXc^%p%#$<fs!yAs0uO&
z^=(ju5$j?x!-*K5Ii15P{^CG!KR5m#6)7;OWUpgLaCt&}D&5^yNV@n<s+9`Rjz7}~
znDyHS(-&gD*VD2>AZj_9Hmm+amh_K$@#1Op#t<%L?Jk-w3>NYo)LRo^k@roWIkBHM
zMkawuvWxYr7tw&bG4+=dyd#)W+-=dm!*j9w8T<VQe$q(Xe8SU-(&QPgTHrEawa&Bw
z`r8AI02b}$*ZWWHb<S}b4v9P;n0jCo*E+(<`Hxh1@w~+IPh!*TGo_BO8_^op<s7SF
zKa|f&kr-1NF70149k=6Hw=B){Lm#N<jM%|_v|%8d+wU7F2N|@h0&R5+tw~aK<NB(n
zSH62VS#uqhEg-|6@Srxjr48-3M^E!r<Y%KRV70Bx=i^}g9plOn*H^FCFSTRX4GX2F
z9$0E1=z9#R1)iD$vxf!{Y;54!nOLn_pWGLQ1BBYX_cN{g`+YR`b6<!BE)wSnPP>{b
znQAte_LXXj)LT>FpezpgN1Q;P8tz7KLfvzO15*#13L_BO>BA48BJ5<%7H3zF;o$kg
zmm2t3Rs6$P#GfrHz(hrSam%tEtye^?^rm59PP>Uw8ZaI@l33Vr`uXVJILN~wT@-og
zJ(@?dM4I=|`CIvT53=u;Rw(JfvGuRBpX^?f5OzQPqpXnU!$jn77Kv)9lfvJNpS}9O
zAfR)gh8wk}i$zoMaKX0l_xEUOrtVCQiln`gz1=OVy&Fj1@C%IAi_{XVYm_@;Y(6sH
zpRF}xX-%*bZ|F@`(EO68e_ukPZew{OFf8mvD80fHpk(=6U_y~75u0L1y}RVe|0W}Y
z>AN{x(=HtMrmx~-W?<;qjy{wK0b@kN0~tUyq@|uP(X+nLlA+XV{QL?@?G)PzN58Z(
z?+#{x+6Bft{LKD7`UHT_0oWxxK(Ms*+flL5^s(5|k2dZfHF64S&u>|Le+0a94b9DX
z>QmnM^hm^rXSL(rMm5Fmo8qVH>g0>%TgHsh`xMGBf=LmC0_DUdO}|U}a*wj$o<(lh
z({o#;Ig7^upTj`q*IQPmE49KhHuK1*t}hN3u6BtHYEkHDX+7Fpozc_Ns|3UskA9n_
zu{%6J8>kC`%!I|D=PG0L-9O)VO`z_DFGrC#?!`3B#xPlQ_v|YlasF`uOt(dK;oi4u
zi8UkY(UFXV!^T(7z*nzaM|Xb}+-;`dbG&F$wnp&1E!GF<0FRA2uJ|pP9IO-0^C0c{
zTU2Z{+(q7@Zl9o9=CNDbLsowck#Tmb`jH|FTGSgr33@zgwKznyFj!Cz!F7+meB0$G
zNbCurG<y{p`4Yj`aLF|qyn)P@5g#{zC9ydCda9+Xdv?e8YMf8W68(Rq8^Cn2(vPS=
z|3GEQQdW?J<$Y#|?d$R8w*_hsU%AtQ%`WLX0CjQfHB=LOWC}I7W=6WbfuAR&uQlIV
zR<<_0)sw>yFdt2mEJQ>^I2DqTl7wfj>@HPf+0JLzo6fusf6@}ca<_ulYF1X&vQzNp
z@5$i6kPwfqE@_^<?Untj-h;*^=a7lP#l@|$`7S&#5V&6Z06|`1)g+?Hp=iE@RA7nR
zpm;jq1NSef*j)_w0@TD05m%xa2XzR-?)`|033j7z=OQw!;P!&b;7Of?CmVFJPb4zT
z;Y!QfHH!7Ez+k-5wNRHJMQm0C@nkP7wp8^zN4vj~$LP+Y&3$q43yUw#p>lOv4OV`9
zazCXxQfjwR%k1oyZ`eQnE`YB}kWekbPUSpll3>UCfnR(YE42$pQa8w4{vr87e}z&$
zfEkI2{_ag=s&rnYlar0ei7mR`i^npH>HALzym#2kprgsk)k=uUbaPW<fK!_i84d=l
zgPWReaddNUuw?yn#_U$WM5fG_yCy@E=gUru(rHni;JR(hxOFT^m60j>46fUo>aU5-
zdSQW#?qequNg2@HUy6oxc<0@`WPYkSHq-}Axgl))>ix5K_4RSijE+)lKhl(C@?UXs
zv1wZgWau;r_-WkKonzC!Zoy!iUmYFSzhnF6vewh5X*5oA!~Sw|at1xqgIH{#2@n+2
zAN*)!4+*TEJpJxdzrX#!CLl=6)~q*Zf6aT1fni%htl{?U*PG-0wODb~*iCxaS;C&K
zyj%iT2V8#cjyx&e(|Z2lwU?Nu?L$tArxuyDV|Yd+JN*>}RWT$}3Vmyq^U=<)NA5iK
zU*X@``rJ;&*Ws=o6cj|0+-5=1+}tdurlvM!7r3|B5J*xH33u}oCnqOW_DFbavuKjv
zyt&=j*hqZKeA214CqV>HMB2(~ZO54yh5RVE9Rf~Fx~reE?RD9D6n!dm*_N&BR{RQ?
z<f<`|f`*CzbeeB{nT32R1#d^}E1(nX0)-&^@Zp=5mX<+2`G*fp=b}mgw#Fg$Z1wD{
z0f1=;r7P!4S2*wV6tC^XmYIR(5RopiURa#7NBVQE;MfW{QSahFHm1!<=x#A*o7LLh
z&CRn~`>1ZBl|8GPn(LwR+gv$?9)=szl6gjxFW=#8FS>=ja@t&#a&#=+-R!S0fPk#1
zh)AI2#KHj3F3AcAcnJ9sTg`3e<gm)g%cltX5EPK>us!{J{T#`Sd4HGn#$eifomOJr
zU!OIjI1KxYDCn7(<beYb9|y;5aPIl@=gK)+FTuF6Yc;$&^;;GhCyH;4(uCy%c4_Tc
z{+!#OvmXTwr|$3ROIUdxm{?f-fXKrExG=mBx^HS}krfyB1=y(%uyJ>OhF6p>_}2j4
zlYVcCTokXvN3a(wv7U|)NzT)5CRm&9yqB(0Aa841=ug3)0s5-hjI=d^<sJqG#^~=+
zETr$HfM^qzvi<=J27XtUWWw)-_Cm9X6S_YN2Xh3UCa5>t`W8HPs5!<@Rss?A&1Q|=
zc>e9LSOB%+2PuNyY)#>^-OV|xk*^!qG0Axp37OSprKAF_=Rdy%meUjfJb)qhfI;g8
znok91HKa#Z&J$aViKy~n=w@#F?QNxA{2lW(oHqB>)3n%2b8L3THy!#^0)+N#{HY<5
zKQ+^ib6T7I^yhc?D#^*HdUmD;`O9p7k&;n`sFjd+c=0ckPc5JRjn}>VVQ|&JlaoJl
zYq`?qE;`cH7`|~u?S;x=va9KZbLi4RZL-eqj=jgv+vI0z*%uLbW}|z+fq{}@mCJ)E
z>=p773U$4c;l|Im>Yg37xVQ&@x$;_X@IK>W_M@jDs30mA5?+oG{PVaJb4#ZoQNZw8
zRNM!fjX3A4=Zqg=U>v;3Miju=9Zk(OY9_4JT)1g(A)u?xGt#2R$|KH028mAOm&i(P
zlITW8-s#qLCN{k|UMD-yKHi9W(RCI3pFR|rTciRu>iRS*FPHv#&ox!?;5$($Q+%=e
z2aTaJp8V;%QjXyg+QDB7y)V-o{<}i9$MJ*z9J}_Xd6eoupZfo%(Q8BYC_{fuUN;A0
zXJhqUQn!af?x1Oo&v#yW6mTBRL49HA4j%<A_UYq8Bqt8~bRAu`etI~P|DQ+7<LK~f
zzUYTxcUPBc%<(1Wf5xf8ews4mrrT}GN4&?$GeSZx4F3qvPfBX|rjK%oN2Ct@*EDvP
zpgZa=hRt33j-F(hxoshfnXb!_Y|`(~P@C<~j4QU9)45JIhGlsusOTT{uy0@eDsi9U
zOQ~Hh!hQ;gG;v_61H8JW%SXD7P`ta@1C7c_NxjA5-|n!#P+0)|?JMo$Pdh1HAAOzq
z%oqCV)f>oMs|28J5FZQ(9$+Lsj?KVu$tmgMM|s$w@;jSr>B4A^J}~zO10gtve)<Zz
z_{1GRPfA%?`|?FOG(3C`P=I92%(9(V-%*^fW3A*r(%ZwT$XDbcK|%4iDJkpCj2(8q
zhkr36<%P^2D6}vtYHCKI<2=af{_WxN5XQ`%T;2AJm9><VYsjp0Cq59Bl$?sj9HTn&
ztsz++t8akPczA8X6N{oRz-3!gP*~UyD4p*_Vl0syeRk;)F~w}xdmrZ|cM83)RnPn0
zp~?jjQ?@T)J}1$R<B8pmGw6(e?(O4~UXOD0J2EQRpnR6FN=5@Yf}Ne6|Kn|4Sj}fA
z&dxfP!Tf#u_U%iKwhwUGejwCvWN8RS+r9Je&OC4tK~D3mtPTwdGVc%IH0ZexpqJet
zbTStR>RPj0N&aIRal71qEe@+p&3*m)6&a**zQKDy!aHGity1GZA3fAFuBkWix~hNv
z{23A+{^6Z)KuSuAXm)n?Y)^79WNp)7;*<hTZJ-}n|1*VnUG5ng6&aA+6eQs^4w<-V
z(DBBN+-?#Fu-YWTnKk4ou^$Qvy#Q{=_VjgEvH$41F_(Px(<ur)ShCsf4*}-p=6NoA
z&PJcJ?f|5fg0XQ%Ibe+$!oO|;4{Mt637(_UwZHZNi`WBheLjFWKKC5`?Y{+rc8-Ei
zH83!+slA;u0(*(?=+c_fCY%Zl3DJXvw{i{+H0Hrz<mFWZoTg7?m`gZEpG8E*%j>k9
zg2Lz;5b6>O!evN(s!Est_zsxvV#}F$a1&=&XS%JNw^K9AyFg@niY%rmB~NagIx=gb
zim>(`7<iV;<AQ!fY(hSS%zfZ($|)<S0Gpv+XS^UWuYKONYuDHxR~?^|LTmpIMSzvK
zoCK`V8YUGxAHfouI1HPS!VE}OfUn996>jflP%dwd=#CR&_p!L`ekSn!p2Q>LwU-TN
zQj-Q_4&1-&jvJ;h>^6IzO2VTbRr$vNA%gLbj8vtca^*&MbCpk5e!so#2>UJhKu$y@
zB>Ix1-m%-S>fHjhd}U1kh&oCdTlh@A+R8aP{XSg1%b$#U@}_@$d_1_3GEM-(l#-k*
z1(FiS=adJm-o2R`qxPzm!AA#FHJHt-2k?JiiYz{y#Ju<>fPYsJoSH9LkKNClJ(~|O
zP3K5&KIFDp?AiXklK#Ji#r@<t>FO8fKoNb&%Hm#cal3u{osgfjpx|>TmB8IbL!&r4
zar;X5_sSH<qe@q<ipKjv6E}&kKXNSx$K!vm>%+TupE0Qxn)VyQ|GufIsTspOzJdMU
z%MX6Z8c@ck6c!e?1yJxitHwERCfE6q5KcCt_KuE0q;L&oy8$Po9^e`UTrm9_FPz!l
z)bKyM3_Ls;XXo<Qjz2{%U%7&K;srao`uh4pGRH>l9@Qd<Hm0MaJ98Y}oK(2Wulj{a
z@$WA#<<2tTIBgw6=evFM@kNk+sE_RX{owfRrH%u;3ac7_2ldv2`>%OF)qQAGP4P|Y
ze`V1tWaxo%;sO9n&>=lZQq)#+eGdSr@eJ0K7}oJ)M<(OUMy8)IQoI*+!zfB3mg_R8
zeKH}^)5m)fACT<qu2(1&7!Rk_ALlu$U-4r=>%&}tyPp72kkzWQ%t;RGi%|eeh(M|3
zn~bVMjYTL8DAr^E8>{O^9}zhEZEf&v@5RDrK~@mA7_pLw_ymPSL?nf)+lw@ZGxvXM
z4qsa=`9Ums#+LBNsP}g;xWc`#B5U&lxorV9vppj4iC@4geMNh0+x>_&xXf^gcN!GK
z?C0zWwM-Fl@t%QPU3YezG5#Za<mzMiC{SDGq*EFFAz@)DpmXm;onE5&Z=Dpzr~-;v
zW^{A8s_JgKMuqy$);iX>tZT*5RiXhWiN`THIa#^FxeQbVKKX7Y^D>lRS<QcDF&ZkA
z@+0Bwqt7gTa`W<-(b2Jh`+$Y``~Z$?xit1kCG(d5J48Fd$|5^JK27m0)QMb_z_2Ab
zIyEu3DY3K2(H92`OyXdNhlGSAL_}PiGec<{QDbRYe_g>5|8oZtR4K<3QRmLe%38j{
zUjl~Q^Crfa#?f&ha|D&T<7&TL8IR73>6L%nOtZiL`7e(XS#mhLh)6@>3qE;U_{FUM
zkay$(aKTQXqag=8IJ5k>!xXag4jap0@MAjYKsZXJ{g=lBHtEp)Mn2}`q38L>TOKn*
zLO$2%>8%#NaLh@eHZFi4098%>c~A$mFkGSlW(YP-5KV1e-8DKo5!lAF!zBf<-F12B
zP$(=7YwM2?s(S~!vdJu_M7`v3^+_@w+lTGE>wt*<lqdlM?FTSMXWcLvNqc+GGX*N`
z)=PIm#=T#@l+x1D!cIK4tqrA^O|7kRPoBh&*iM|Y`Y|$WPlMvCj(tU*@33xsj)+wN
zk5-~*yw)e*c$jP9bM`%M>-i3FGV>tTRJJkhL(Hn>1vq`$yi8-a1_lP8t+Gr*o5i7I
zfTT`WFZ=Q>8RgR0+}usEw;`;pt2?JI{D{+dNYQ1pJ1!62qkM2`qZ*=mt0N9Sl8pvG
zu9toU7YH^_6t|5r_LXDXjb@~^H8s;v%GNt*Qjre&L^0rar7&VO!8>~U5|1_|ElnJd
zV)G!5mI|>-gW+N;<pSea;AKt*iwn~$2D%~Yrdj-XGA=FN8)I}3wS@3QX{KRtP>|*3
zsy?i3I}CI0B}|LD`s+l=IOl#rEl{1Iu>ITl_jtUz(MAfu7eUUk=ZM)0Cp3F|dyBz^
zO0U3zgYkO#IxiWY<IM<a^m5$O$3vo{Q{#45KWswKi$ka7V$?BgcG&ZJF!SENzCG}<
z?1p^|a7-5mw@4n&_u~^2y+szf$Y0oW+hipq{E6B1-hiP|2{^YQ4{(CL5W(0*oh}^v
zJr&oV^|(4DF3zQ0P)k`kYIixn<+vGF<yKQuQ~4TGLr;$^qiW&O$9|+LE%v4v)x~#c
z<#L(oybmH-1;O=}wzSN1hRCS_3??N#J)iuXYrWZ(gi{Nn6&gT44QiyDH}e5lZ|KE#
zi)ifG`1lh>_0o;<3_ox0E{N@@zCOJax3py18p$T?KXH|xU&DVw@7Mf*)oYvqFyCNH
zNyIU1`$3srAR$qis-K<B5(&PNl9XiXz<>$@Gw=qVUS6*;=(2LwBR51aA@X^TjN3X7
zMk1UITMisHSnr|rH5L|@?Vhuyp8~0cErEi3t9(~ow-0T@xT>m(UAK)Cj6EGQvm^vT
zd!tRtlb4nT_b$pxOUHxR9K^)1l~q-Zfx>x<`Z-RG64S3$MwuF=wo)*~n00z6%Lz|3
zP-W8Ki#o5RYS4j*0KQ}IWMgo;@UgKwuvkf&_5PbsqPY6AnHd5niy8g$a&r10S=)JM
zP45^OqyQf`(HskEx^Ax#P@@ZEVT!*^P0c}!1o^*+y%OnyFfS*fS0NBu7mPj<6cdvM
z5<c_uTXR9|Sp>Zvv?z!GKqxerk*ZZVt3fzT2IS#ujcWnKXh%2aqNhS7<M_(jxC8NU
zaV<ejw?=aYzyVqTaYZrku1xFlZ$$#oB)fLgg|#1}8m&<rB@0n-07`)X7!oGZ*H2b=
z*|B=3kM=_pEDiW%Y4xb3J<|G4z*K$<6^Qh-w8HmZU`maaJ6WyG$}NnPsq|-R^aC(y
zI@sCEY-}=coa+PY5*izu4u%G4c;$O*H+Zb801T`YOe@*vigql|dB;99ENqsR|M$za
z&#t<Y-@Xn1TIUR)MMIrMWWV9nrA<KGXEzxsRpI~b?eAZ1MJ_2P7Yg<HmqozJMe#Wm
zzc^23aDy3z`m{PYx+@Rxnmw?7c~*1sB8Zo^7CpKx1lF75_4%bRs2x{^xK1A!uh7Uy
zySX)x`?6nO3_;F1nnLN<V4pyQX>G1w5-?P+$6Q<r1F0L@oP#KtKG>|L#zvNy)2?y1
z(9U04NrR=Q1388>c_(NSStTX9nYsZUPzH!!g`9T4wv&L>mjrbyEhEEWJ+BDLdbFvz
z8QzR7U%O)jj$>_YZL#%26qogU666ReB~NcugD%Q@I>2f)Tr8KLpD!vVhMdrhV;`3r
z_A`-zlLx^s;+v*#mh)U~kXYEQTerZ=&mlkIDtTz8Dkr?Xy=CDb0OtXf0QAZa|BABc
z-bKHS4d%4Rj^VDfbkM>h*MI|S4>5#FT!_J#iadDW7sj9z59P6;p`pEY4}1t10ipCg
zY)3lir~was<nPJ;;itiDw8|3@-nEAulB}#OVy53GCSGG<kuozg3rc8e5(RZ~7j_+-
zZGyP0W)r|48nyT4b=^A}mOytsOTeJ`2K2^**E~wh727$W%pOiz!SSyT?*63K`Vbm|
z@@Z;oJO4Am)#e~Tvmf{{rKLd?Qc_dj3*g&K3S&~U*XWmwVi$4Q+ZxT+@4gcL*ONkg
zP8uX|wiN&Kr@7Tk*SGRaNf8k#JG&wuJha_=`_3H_uy|Mn=N8qDQacOK&l}~L{N|Hh
zQJf}=;{vXG|4bJp!~%|^2m#tz7TlD65IR{InU(bZ-ku&k!0Ekq^=ikfOZT4Lyfo%?
z;C&#mjLR`#*_o0uGWw9S+jPezAeW%y;E;nFS+K5wG-}0`B4ED3&d6F><%4LXXg7z^
zadCaIHLv78ILaU~6Yw3;UBxm~i{g<p9Ebpy-A}F9{+jxFdQeKtrAyBs&f(5;q-%T#
zrcs^-<@PQp2p3|%qCw;1<A`Sk+mrb3`4YlJ41fKd6w^60R3$UG$HrU97P7J-%m1E&
z$}@<>biy^6(BR;Au=SEkOSeA;aF~p!g403FZJlPnzG%dLWEdxq@Sp0>IgLH#qM{-=
zLP$wT8T4nw!eD4bK;qy_5O4ef7(|ddB&A|bT5oGmsq**huNA^sQZ>u*x4F}5r!cbJ
zkT5<uul>-nXVGoSH{i~e!7ZrG>30DkpggDITt@VsR66`^Ky<%>>u_up>8hu2NrSCd
zqOPK%k_v#!VnN6Ow_o?z_Ok>3`(IK6Vkr&&Yv~llFB&=?9#uFAc7<y=6M6h|-rA3v
zJx12p%imvKNol}ILqlFZae7*hkQRO0^KXkDppFaQn2eSymsqENG#<8ZH!Lt3OoWho
z68!N_1m+UffoBR~A`jd)MAEib;`Vx=LjT>$R6A%f^;uvBfW!tEOnMRU_oPKcUP2jm
zo^Cri2Y5;_x!wT*oUcij&i|_+2$+rqfoG-%{u@Z>E6a&S_r1mM!5DFH@;eNz--*Ln
z;`;l}8RVUu?hlfNKSs*9%*H*yHM%SUyBjP6XqhMo3uzybw5+<nr+(Y(hh91A|HH8D
f|BMBv>>c~A%t!QHT3QS7mqi361TyYEdiH++S97wX

literal 51750
zcmd3O1yGdl+wKA?A|fr_rF000l+ucTbV)AV4bmdrh|-~mba!_Oh;*}bcQ@x*<rm-o
z`_9anIdf*t&LFPtzE9n8-Pe7+Z@?RAakP7c_aG1m+Di!$ISAx71q6a9fA<dfm*cj9
zpWqjdov4bPyrqGiqmGR}L`uib%FNQv%vhJ)LEpyK*wTW7nTMI3k=)46&dT-~3yb;R
zA7Hk$F=U~TMj8VbL9vohwS_>?b>Ke;8G`A?5J+d_OOY1}P6-=R?_6;gr?__36LP{s
z!Z8{O9!Zkl>j*vhA|WFCMkMe&G$W&w$wYL*Wa4-T`B1i`zuimaUG|(3gAk^-?&PD}
zpG4n27gD&3dH;QmclbiW{?&Wz$l_@Z!zdSnyzS)ynZ*T04#TCS#b@>Bb^Pz2lS3%~
zetmGt)%@qJ4VQ1Y$X_qLNB{5MWQb(rHJJFJk5FI~I6n@a-G%V*5QJ)qQ^ppeVX1~~
zhIcrd`H2ied8vz%<R`usX;Qu=6S{+FHQ0vUj<zmA%~AG(a=nn`Umvx#<<)aE`+HsN
zIKmSDcW)F@hESj1>;(=>Jq$Uy*YHpm!)I|95)u+(WMLshu6@`qvV7<q5&p$PFXNQN
zabxuTZPbU_6J_Q`#>OvRyg;z1*%f=8#HV_~?|w3i%&1v|PsC-`a18SZ3nk%AaonD+
zm<wdE+HJ+7qM)Ey;3V_7V0*}<=FL)nfkhgIoSx`FxK%O#Aee+#X*~-A^Y<%4>NX<6
z;4o=pAygbeB55l;n}lc12ew`A%;rr^OH0MXgiZ1+b@ez&O|!&$UaUKg6ScFmGlpIN
zUVndofy1U+cPs}oGCFAs_zkTSS5+louHIl*P*#RcR#?Zd>L9MIukTK~Z0l@IR*se!
zV=wi@k8E*vMYFWK9Z&iFOyq^09jrn;6|<FQ)8Z|f24n<7P?;;9cdh+BKN4OCoc7Qm
zD*jq*IXO85ryNb{lmaX)zMWG&^dCq&r>;gu8RAk>G?0~tBF=~i_M%^yn3yVdnozBG
zW?t0nwh=vIWV{6#92(MT3nqBP!qOhcX&RoKOm^sYwc{r^Go-B5YU#dDG-=h0mK!!Q
zJUsVNlDQGSr*m_2!^fGKnT;(0*b(93p5-uiqNyr-BnUB|6UIQA6cQvyz5K!I>Z*wn
z^5@U?{n3pk;4mvI{|Cdfwc)*g3-PI4261O+=E~sXk+oKeKzg>mps0r~3cwH%6ckCk
zVB5kL7RUa*@}Vr03No*Y!FF#<l%wNm*vXngP#^>Z1Tp+BTygR7g=S+#G28M=N_Qam
zg6^)>?Hn8&Y_2C(kmrhuitF>+b?3|`rl!`Lr6Xl`!XdwM)w$ogY?fwZWi?gVuMg%u
z_;d1@W1nE#eqc}&6Y*?3pAK0*QuJpIuZ1Ngv0dvPYD~-9->rPNZvbhiu$~vXO5;1~
zq)TpbP4@Cagf#e(xsPt`j*qLEO_ZT&RN1|#cfV9{%iANq@evz=`s)^vCz_Tk30NXH
zWcoIQwQYq8{Im;>FgIk#%2c&u2dv6&)eD%d?)G#o8*F(g-croknhltTUzp$(KGL20
zMkLtmoSe8GSNq8kadGqql|P`A$wb}rGhZn`+1u_t!|Dt+|F>U9PRz=zFExCoDw+&%
zSlks6aL+Jy&Jyl8J9CE6RcZM}CMAVdRaM1oN5;nojc9q0)L$Lu@Aiq4&CZ7j-hrg1
zrOo|d$Zu(QkK`k$On@x6VEbWl!T(UboP#@uDx&+DemZo&T>Opfh<{D6La@Mh4y>9Q
z2}*YCUZ0!5f<2)Fg;IqQ?^04UerORHO5_iCZJ2&JxP9EPen`p7o2&8li&C6H`*8Dg
ztqYsWk(u4bD5hjIv#5>^#oF3hfo|(PzRQCFm3nvnC}xd7?^{sGEOau5>4utnVaqKq
z+dAQaDh&B#;W<C4^Es-*Aa|)iQgl+VOVHWZ3{NCOY=V$wp+8})w{x?gvJ%C;o=iZi
zfeYI`+-1yImk_dZinw!rnUVD@Fg10lpjQ@dXnx^^Sr69N*CRfE#@%<@s=s!3y}mqF
zDYqa22ZRWbkd$oBEuRkj@#EFSrlm(S?{>|HO!;(QR|^LRhYmx;h-{8;D7R)RK3K8B
zw<$Q#QCW8@Fdt*`f_^RD3Kp2ZGdd_QJDB`}I)cE7nYxH{f+FHDVe~;_nScm;|N7|H
zsyhb@kurBM+%H;%{T_V%`juj%BE)=XWCXfCoVzknZfOb`8;)UvLLj`3TR3NL7YkLA
zB}MceCJTDf1s;3f3ODcZsK*fy%#ZVjza*-m?V+=+cv=nJu_H4z`#+n!QJ~hV-y^Nt
zNs0@sW|L(#>tJi5)QDdwyootYa3I>3XNMFX@}%-f*e`AO1F(K(Wn~q32-+;%g^=^`
zs17ZMlJY-WTgJkS)pvO(Rn0s)d-2ARc%sYnwb~zJw~6!h{RTXfHpyj6^~sYbGZ*_T
zEuWP&g9@S7sO_PgGmFvJWMvkYgKMo|)UUipqlM7EVndmnx0P7H4EgV&q9P=$(AHYb
z3Q^P0=!};b=l14jWIWf<Alcj7Q>&IVG&G$5Brn|v;!jZh_2qWOMp2hqvX;7f5T2$J
zLW2x$1jK6A2X8KbE~%l5r9PN|!{Cd0xdp`Y12X#DVzic+g98_>bV9}z5jiFMbNyh5
z+~)r8z3O---~j<Ed7}#Ro;=XI-_!e1x2ThQ+6njjcbbZmIpd1$I+$-a*45?lVy=(2
zh>|>s5G^h3+^ip2TaIe6RS)Ng_K#1G;U+R(YAUO#8Cq$(oFX1Zn%kQ!=phirr0)A}
ze@O=f_}nnTod%?e`B2`SYS`t2?V9}uVA--@33GG0#5^{)B59?XVhxkV&MtCt82L_S
zK7gUmtyaHB>+UUd{!R~HtEvcP_zxA<D<VWhl)9v3LNBRtd#Qe(fhkV3!d&MZKSiX}
zwEST29@}*Ni7qlk`|O}g2vGv^bT#!Nyd4|?4!Gz8f$Iwn1tn5M$ibRDdzy4DPV`%L
z{)N-|wvd)zUz>N&VS>TemoUNENExn_%uE7cl+F3>ho%e5#|<EQ1&Ib-1#eE2fBpXb
zHnc6_ef4%y(9c9$p=rzBB&?c)e$>%AHwF_ElkmvMAnW;`ZQZfulnmLCJ5?V0J*14P
zdwgZ)6JFoM*CXO5Zi6A)L%64j_XIc$-rk3(6fNK~YF;o7=U?CTLkDg&3DenI2x_jo
zZYT5bL?*4kbDZ3jeCu{-pBq-c+s5Fu6nnbTPlMhSm22X5ak4uPk{-&_&5}ly0&Us#
z`SwtfW`_J4|Kn-(AYcjPG&Hy$?x3~Vk4$+}2>X_uch_IpV@5Hm1{)@+`hyS5^l)o|
z$OQXZu=C{Nw70i$`*=RlQAxWsu)M(I+MQU?omf>>bp_@D$*b8TyiX=jG<9wctHaH&
z*~6;4ut6pyB>Yus%8i4Y=(nDqoY`eIVqzReavsd_vjI%Q%P{HPoouCCAxTNpd-v{H
zZPy-``F<!2CKDvhuREi^Ivc6i?TTVL0kI%FAtAWV?R@Sh?{<r#vIg#6oFsGQt+BB&
zl@cS&Y3Fq&NW+&GAFR$d%ga$21N?Kio(Q78TkU+R0K>6<+mT1`7(b58g_7mBWfX~7
zcLsFQeo!3b*2%jSDMgQsv<-6V<vBWrb59q`HQM5$K77mI`*?V0KU%UXc#?d5Y6%iA
zp5qiJ-2$h*y*;p7)s;yeWW2Xlm_L3T=`{O>6*_J^Ivw=Ufv8fh-QX$oI+h(*%cB;X
z%=Jw$NQ->?-AxYL#qO7WPAgxLXLg-fEhe4pHpg*cZpTblyJ6e~#sgw}$CKB>1_lP*
z_9q*~n-$AR$=?8YSWd8Iu5uJa(Q++B^0+?F9xa%KGO8V1{{m6hA>Y`-qKU<WhX@U=
zeMjrso(l^LD?D+EXU;Ie{mja#R?}?a$haCqZgtvy<;`s{*RO`Xnh;L_0Ewlfq&B@8
z=G(*O@#<qj5_#)IUNk;`Yu!5Z)b)gQ+QpKI%W~Quc7273gX?p&=5{y~U0}bSj?Znu
zCl>MyNpm}(4+oF=f<yD&qA1)I-YrWBwTBu5NQ21h;OZ+QI5oLd9L?l{y}vBzdvI|7
zV#FiSXJg~%Xz4mb&B+|<XxXMb*cD0;;#x2A4pSd{-|_@zICHw39ClhGPUeOaCU9od
za(pt7e3iOp+beKxmf&_YmZd2yqE~h+ANly<A*xGbN`;G%*5fLx-{4U85j+P39gDdA
zyf~I*tFsK%A34OPecckrnY}v-MTai`WMOkYAi!tU)*cLOa@npGOcg2uehU&m%kENq
z{%lcKo(Tz}jI5fP7eihJq2rXj<2qD^Z}-u(`?=JlbvsiG&%V-I_tOB~qUYqE=UeBv
z0E~Fdujf1JG<d#;c*ez<T)?i+F^Y<w&9Zo$G5~lreWnTWRwLQfj{3!6J}R5xPdC|-
zG2lw|*XQU)W@assGRzGiovB|RZ4`Sn0nhNRzgQ&T+i4Kq)O0-A(K*;u_XPjq5&jXY
z`W`C>2lnL|?o4rS**7rpfPesyzd?i{5(~x;VN&M;IZ{SlSb`?OjObR~-jATs%6-WM
zk1HRioyO}Asj0V0N>13IZMYSiW$`;F^I<c=9BnDk_7aEWTDNm0V1KY*<(BmhVfk+>
zi7P8LcFOB(AIf#AsGkqGBEj6x(URQHJisSBE>>lF%O=P)oma1Q`ceevL8NF0o=LRt
z@+)#Jz!+rR*Rn5|uWUB07H->DZpB6Dp0cF<u61w{NoeDVff2c1?Q2nB+?^>M(QKP?
zye5`Ud)<Po{JQz#H0*1RnO28slYO7`>(?zM#)2Pumz&GXzhaNst^C3)pR^ILZvV+^
ziRFns6cerCpuav3YMJFE7XgTNZ_*S9h38wmPn{1QSyXTSbU>hnyiRzEa{D$CC^}4`
zdHc)B9=>~fmrv(|IVNt0L#*aQ%E>u6P_NHM;tHTT)7I@Q-iQ*dJF`@MzpQYo9X4-4
zHl{B*LD2%rsOT@IBNn4ohmpg}7E@=BLG@v^mia-AOug2b1`8V-K)Bus`)HO&`2L_|
zxeLO_$;vl$Apys=K}lgm2~qHQQ++-4*jT~CBK5iprW03z?%4hH@aJc7rg`G&(qjN*
zh5T~-Lf7*dRLM9Kw?9-tRWu39Hlr;uOn*nOz;5P9Dd2IXG0zU=%qCCBTz6XyM@voV
z>dw|sYYvBDg*J=#E|RbJVZcva*Y}ACL+3y}(+1qhbGsfE2B1)>i=ci&N15}{27%nW
z=t$d?j1)`Q6~(+Py@%<!rk4BZZOBY^e%<qTr&r;<MkXdg_V%1v+1bKXa^<Bi$0HC=
zon|rbi(GIe{HFyN@!Xazb#5*bx8HSkKF0h|E8&Yy7BHgeLNHP07Wm@BopL4KP<*y~
z&3<7mX;Rk+kSAPRx^OSl>nIpz{wW?dJb%93Wxdy#PR^2V8goqg-s8%a;MFUKc`wwo
zl5=&PS!12(<w@J#_9A_c_QMga_qM(KWbmtjfG_Md1dn475IQ|}R@38!r|H<(Fwc+N
z($}hgA;HV@4>V5v_<hBZLqRWo8z23saZzU|$-o<hCx!N|ji3+!fwW$wY-1aQ?&~1^
zuAd@ua#*0C+TBlv`GTV4>lbYZtyElacQ+$7HTBF)Ba#X@>bN)|;h~wWCP;XAI0OLV
zpo{XTsHoxgPg_lvwTH(U>;0on_n)Wxdk8w0kV2ZIoslkZJn4Jo^$ZRD5^Lz<24u(r
zy}fUl0Tarr-l7E|`mr?6cl4rSUg*hA1bl?L%OfHMC8aMQ{5Shu;{=oPJ0G<7q6u!L
z7A2sei3?vnG@f!l?Q;25d;U_TbS?R00(KQxf4P}2Auatvwol~ZV%b)$d7`RH4bl+A
zQuoEgEu;<O<8O@T@Bhf3eN3-}d8|m9D;AVM)!TLG*QdSCpooQh|L($SrA;Albt1em
zU5g4TO%zZ7G&<y~mRq1H<!c&`vOm^Y1XuJGa2r&lF7rsXgET}?`88i%?#woCCZ)e2
zdQQJB`-T-G+2e{Jl+3avlw?9Z`=K8iFWb@laBgy$l4}_Wx|}L3D~n18rmlKrg<wey
zqFBY*+Pc-@(8$-KJq$P?Qp~;zfR~2ip~P($rydr^Nv0$28EcmzZEO?)H|y}CcH*x{
zf8?w}yRR1sLO^CF$vA(S-3N;ae)Zik!wEDEQvIA3mbw$ZyyM4@p0c5yl$omwT{&!w
zvbkO!Doeb4`66GlcK(d`x3`au`j<~TV*{`X-hP8XKw&TJ?v4%)2?ai(2PDr**2NN|
zqCz93f3#m+>Vrf_x#0GBaT`|ue86UL$)WMxvW6#J@>@@ESaSn1-18^9Vh};Mkyqtr
zs;u7Be`*8Dd*3oVm`UTEvq~bRz$ptB*e*xwTpxj|Q+s>bG9oGIy@1;p;`8;K5ncx~
z%i~G&iL#mG>$e6gMbb%pxFo!3vz5z9t=zCrz8AHHg|d&n5c8eb!Sioh2+>X_UHteZ
zD9X;^fRojFE_Jw&VE(%TH?zhWw^Qx3161|_nE;l0nQI_O_boGx=~QfmZhrHqEH!rl
zMWRx%(|h+8Vs6;>n7r3ewlXC@KZ#+oTj(#FC!CzK`@H~E)fDdHhmx2+*VU!uOTuP@
z9jtNyAMi|1IwJ$-!}=Q>jn=wE|5{!Pm@541peP@$B?s-g*%s8kt?Q)aHXrw-ON#LW
z+oZcQGXTfE0GSHE>>L58$9%`R766}0326b$lq&!kLbj%4;7QTnvYx5+ar%L%>X@e4
zXaT8VqWuGblNtWzC{A8pB9D`1Dv;tTD^}C8*$lc>;7A_0vDHiif*C-h0OmGcoT8@G
zg^jGkxgBH>QF?dRwXU%MIuI$hm;wwLZ-M#5L-<B+j5)5BO$z(o7X_;Xk?+kLR!D4Y
zY_12O)~K&ed&||Yc}GD|4MQUuhW5lMj#eM@1`~1;`k|AFS?|`*?4Me}-0HEnm;nU0
zo^(I&Ss5$FyL11M$VlFl)rJZZmzhdfvmg3=R(780)K9mwgJ%BY$uPQPR~%)nOO9X?
z7uvmjmoHzxBEUSfLP23M*M!Q_l<#pFe^O75i!X$AL)M5=tm{RB3J~uOx&TSCYY_^l
zjGJehKSMm3HL7Od-|2OCxP9jVqnVpK*x%iB!OPnKMA3o$Km!C~BiPGEVf0HaJwr#X
zCjfhK^b-5gNJh<pLbWM9*`kdu*-Xg91bJa`5ngk!8Tb1LZQGu$3KtsnT{nNE3EJ(X
zBa+q93Y(l{2K8q)Aj`PL6E)Oxv8QrmT9=czjWz>wjd<_qRg6{1%gOC@bD$R5t-^Ld
z65bs*m5liKG4QLf-+a}&!Q8=sUzS?vgk?P{uuLx!-m-65Yj@e%+557UEhil&5@ViP
z%T+JSBsxDnJ7#Gx&1Y&gOg3)@g)dwGz(7Rw2wJq3J129^4yC=8_XEE7Wrtsw6;xG`
z)7_Cs(Zl28XIJd0KN3ukM;wkm2*_!7kkI3&D{o#}q9qn^1+4H?#3#K=#vzeDYFg*M
z{y8|!8BoHqctYs~{d=!5BfkE#@&BK{!TJ~9-oMoFe%pFXUtXA0MoLN)gtK5WEpOmW
z4*`cdcma3;P-Qyp_jveTm;>Or8>H3UCdEDF6>nK5wQm@{4;bH@uvJufaY6d@`T|w`
zT0>FMM=G9c#s@E{8RYcF;$DF;kj+q|!zV*2sBf%O7Js_R#)&9Q<f2-zl;eWnl$Kdm
z@AQ;km>x4eE{@gZNa|#-tG5t<&R~4DA1U9dbnm|Wiwkd3R}TFt+3VZx$Tw$;i1PTU
zO^<m0t%$~tk&$d>qY`j92HbMuG8dSMrn521)#Y}Wtn4n*Glva-xJ?1(P&irO65{P}
zNXl)Yx9$P68(@NX(nvlmzpCGZL3WPo^PeAY(IG(KnLf;;CbZO4849bb-Epc}fz?Bl
zwcJQRG=*7IlD=C&ho@srk4tmcgFa-Z<;2BDEU>TuY`WR<`pXX%FtpgPf7Xm)IUkV$
z0H>2{`>Z)1rTN{l$;n_4z#Hawzj$1G4Yzl79na@gTL_D`qT}<Q-A}L|<^kNB7rG#0
z+fonF?!kaZqj5T#khAk0i>lR!7nj@lh!DV@XAK|YbD7<O{DnV!ACOF+;X_i>4Ixiu
zL*DiBJL*i7F~O$}PuOZ|Y6UvY&XXS3{4pHMBPV0Md3RNh(vz>qTu&GA@Oh8wt(Ia9
zDR`@kDPWkfet%CtqUUpT^lZL|#^BlZ+M0>k^aUC5GrPOxuq)JqwV~=mOLV~tj0a?S
ze-|ud^|QY5Y^KA9P8Yj=yP#C?4Gz9P>AG(Y-!h0uf|J4F+Gj9vk<oe<)gpX&&<WxG
z+0?@gyA#%q1Tivt8mM(K=K!b$8R*3c<-(GK@o`muKflwg&-az#-1s9FpVX$mQA@|t
zkFMkL^#{36_q&T(O$JwnJpfURn(R@B1WE^Uyyu9|K{mJEZ5`M-TbJDJ;dW80);C=|
zKHoi>xPI>L9tJN3>^5S2i7XR*&bRA{$lO(k<<Q;@DUPst+Ts7xisIsSK2YgSuK#if
z<K!GVx!CXBNf+b~0P%^y<7_}E!C{;nzL5~=V3e^k8@WPDm?Olq)}=m(*L$+uk_BvC
z1mKea6UV%;{p0Cpmt%Llz4E4}fw?oYkLdq2jr=-)ta)3{w^0Ea#&&5kpfxDD6*N17
z#>WXE4ZdjWg*we={`r<>X2C85pL)-ZCM<V0%V8O3IX@G5?xYU<gD7k=2Be8@LEv>Y
z<hhy}A=r5gF&SfH&_uEQ`M9YWT`+I0)V$gvlH=d4ICe2}a}r3yHaY|%&3`EJ=(H6t
z8MWSTWF546(9g@gy}ij`f(P5RF3G_qB~LcSOR)h$$cl<j_{U&mF+5BRZ(+%$2+)Ox
zBYI>_PWftixIKnwul&-1NPCB;Cq26hFMVCMbJ5<_!M580{2J$vijDOFdj!}czJ*f)
zf>?-WU?7>$Ra8ujzwv+p+{91zlan71iMRuP40J(c>vi>bH$tWUiViKw5n)s#uD2|q
z3!dG{;{;d1uGrD^MSFWi4%j`QsiWH-+FRgq%&e!Ur+c(ft#*CnC&=feb)n1Uetiy`
z3E|ch1w2P;YU+$1*@L+*7C~`)d)&Yv?h*kH0KVb7IO(#@Vs*CK91f-g;t6!+*X+vF
zxgM}j_)<U>hqbp?g$Oa|uD}Alo{H0@3HW$5r%R?My&l8!Ae{l{;-F_>c%!Bk$nW9+
zoo%A&_!-69{rv<4)Q|qXWDQ4qgbKsl6x{p-!u!SHGmB60|13{w$8bRso4rj=vyMzM
ziqYcI(Z+_o%C57y#F)csvy?jp(73rCysN3MH9JjmHCJbHt{1z=Dy1g3Yo>24EG)ot
z>1=}SPxIqx?&+tffU1JCMH{1qBm&9k+*5X_AasO+V9mGJaXrK0@$L>dA5r0ESx7_b
z%SZq|Ll+kG_;y=3R4Q$FrrnN7Tu*e^K#+_`oFbr0o<s&cE^%1hZcmfc(G1EhM1*X-
zrdOcRWwpjV^H-mX?lE&_OJu9d8(G-knTn<}`_|(%zm%)Whs*@Vtz01YmI?otjs!qW
z&!wdu0SlyF`&2}h2A+hm+|8s2{z<|wzf`1R*($pZF?-(f3_PRl*4V`jl%!`;W4}pG
zDe!$QiUIoy22K$$ygL8Bb4qd)Npq8oD(?Wd3o>WPN6GZOe<VC*ZN`$%X8adA^*?CE
z_}HQQnGI2*^oBmBr2L2m|H@)o5Ly!B8Q;w~lw;ItwGa^t?mzsZY_*<ak3{3I3r6hd
zKnZ@pJ#8*>X5?53Sva%%E*VlZt`|BN{;5?Y5bsk2Fh<QB&LpL{$5hW{`}bA?;>wqY
zx^(X2D?Zhlbd8wbotr?=x$(&Jkrex55A52Y<&1)J*xL$~ml4%`6TJ@DOeeFo%=^|7
zCapA|;g<?Gnf`B^ViWWnG><7UctWQ)0|A-v@dkm9CVn<+T}Gb))VORi$MvOL@OFH&
zTP%E%cG2)+*2v@;umPN)Xx|RixHv)tC$$OH8i0LXQa7$Q`X?pkXx^vP0Ud&rP{Vr=
z!9kLCV98q(@X4m~=5r%}&hWRox_c17*dm7c3A#rnT)3mV3RGr0AialNxRVhQ5&ar<
z!T}#^Ue||b{D;}Wn9sA^NZ}_Hp%xpPi13BepZeqH-*E_z#hhwUI=Z`G_&qSLs-=TR
z&wfU3BjN$4WbxmFMzznsP*Qrp&R#UTU#bEuNar2ja|Z{)tgKL>BZ}9x)3*QzI+Yzr
z0I*zy0o>W5lZZ<t9Y%t2KzD=PIupM1j*uEnmKx2g6DgZLC(pq_1!@{jNircqQTe--
z(Dnz6Dg_Xbyg(oHH&Hzw!VT|12<5ZT(+j<O_ik{RQKJfnN<7r;^4JpriBjOWUy`Nu
zTbKZS*$&v2csN&ybJ#qIt0n6Ca|-*+Mvm~0Jw=1=iN$0EX0bt!5ODLf*Rft8)aGbZ
zKeS!yZfyL3%m#kPY+GL*j(p3@V_w+J%A$u41xR;%J}0XV*#7=LXk<nE@@cB5WH@jF
z){Rc|(smd0*LL-GlN@j(G&tm}j=k%^;hWC(|8a(h`wBkcAe4h@33+zcslaZve|Tpb
z&a8tr5v#|Q>+85DD5s~VvasbgBFp>dC!jclKw_TR(*yQO=qf2WIjnlCO0tI%8#4kW
z@N8Mv6-Er)>4m-<w#`5!+Y`Yc+#7|*EyzyRyFCD;K!y}}Yu6{bnT5{5&JM7j*%NMV
z=va|{9NrQD1GgaEF>J#7E*O{*oLDua!7F1Zk@xmlQw-_u++1n!l_JdoXaplbK!XJJ
zG=6UsR7)wwFUl;Y0{i>r?h`(_i-i2({&@l*+CfZQ2aRnZC8dXeiXyeo0VZ?vDoV=2
z*aK__669cOig&>h-lhhX5n%2$rBG88UT8Xu>0>4rn~pH^9sCmBB;{StDc%`{hEdSb
zi4QEV@l8}H{7-%6KMl<B2SYhwSr|oib)*deTO+fn>FIunR<u#y#KUwC*M?SpeMMrf
zT1hGBjpebW{V90un&7(EDe>x+(94%7Np44~0A7j%R(1k_mwX`BcyVaByx^^cM`zs(
z`r5Bk(atUq%&v~^(ytLlL`MYnrP~=e8c>q#zWsMZ?b&>DxG^dQ(g7~$y}+AgpoHh&
zuwD9@II#t5_C;$>5e<SDYTEltJx-wEVs&-8oPD*??6;0_*GSE5^&KCbg9TkaXl{#4
zXzy;l;=_DWYzL3wOdy6M{$!NGK~F-xsiEL;oTrq8ew{{0@owfV?}#jtKTYHBOH2rm
z>yvgtNJesa+xp>LQ5SPFIK4vqbtNeZJ#vV+`GwVFL8u6O(D0ogNqRQNR%MDX<w5S*
zI$W*U!p!uP48ac)DNg@wZ9^OIb7zNmlN|5<`YLQ>WOSETQ}2n((MBU+Xnv*3kOdR-
z$PJkykOM{l^6S^HFK4BoGq`t(<W%G&Gq~IhZwuE;_P+TOTNm)NggRuui6KCS^R>wK
zxEI+Lc~U;17!NAFpcgpb;D9_2BjtZmo8;d?4+7q}edB{=zpD9BO-*S3Uo|*^u;N`F
zhYgj3jWKKn<-8W4UQs8@&(3ac@<EOG^vT<JAgxqDQ&#ppkjD5=mB$06hU@8G_{i;Z
zaLRp?lf-)`!@26a0Af--evAUTN$=wnDJYBH{;MVH@2~gW<aI|&iwNJvPIC;W>BGFr
zB|^|$x@~N1tWxd3^rNeb&2eke0XJZO8BUXSv06^^y-pV3U$_hm3bJ14zy$pNX-8*g
zz)2;56phGauAZ1wVqaX2w<KP_76Il5>L-up`Q4eXexyPGLJ#KL!;Dx2&TRiDEQ7$D
zqtF}b)<$4B1IU3!j$XbGK%E2ccY;^N@w5xuyFER{ZJKf1bHJ;Jnwv8@Y>xY&5pluk
z%gV}1xHib5V)o8`0(Oy26AVmM3nTZ3d;O8$96CW~!0YSj8r{W>i+&8C!?0RU;G<Je
zdS+^JP{v0}&duH22iG}7aN!#}nB6vPrwv5^OJVVs>wP}N`fBnTo*a~Auix@<9V*<k
z9hx9Fq$jbkJzTu?`~N}C`|#g0bsszvfR|k(C^;k$Q8dxT4mR|FAnQ-uB=Gu&&+_kh
z1Je1QkAv*-fBGhYB))^z^$JoJJ@Tcf4yAIn6F)B5=T?6ETI*jSDlmY8Is)ycd7Y7A
zY2wDn!cPFwhcH+dYIN|;n2)#|+G#(&wSGynly{P)0klB4hf)9wFo18WmFWGkZxIn)
zc;fE<ce+2hK!}X`YvL08py<Jx(A311Lm=4rPus@KY{&R0@gK0L2oa><fW<Vr^?yJS
zgO!6>%H98IU4#1Y1=buaWM~vs8>DI*xkm*^($Eo<;r-cDOdl}Bqu{>~&`C60yYdGC
z8FxkeCs-QsGcPjx)5N8uycY(J!wW1It}PMDLT6ZuX9aQO5p(7f`*$EM&4D;V$&%4!
z4-!4x9!C7kip>B1a_cLJ6fQ91B*tm%L!NyYOY2D;Pnr_hLjbhE-{=gw@_0kDpgkR1
z;odoeB4F1>l!Sg%)!yt}27KepLDma+c0~!fQGdV_mhHneabP$mgz7uXVfFgu^JKB5
zwNIySND*0Aa2}<y1XRD|&iVKsPlbK}KU1Te6TzFUyR<j<G}q2Xp#jcJTT+#Ccq6AF
zs>lQkpN-dPQ~6?^x$T^<*585GVS?+4vx{}j%Nx6KE5Pdit}=x?4Y26KcRKOSxd~3H
z+W_sneoJ3j9iZOX@vjjMnqNua>Dnvnftdnuj(5o8D6?Yfyh3fuZOuSXSvz>E{>FfC
zNQ5P#b;_ql|JhJfOR%9`Z5p3S<16k5k89p{znS+z^VTSHvqi1$4JI%)5QzexVGJJq
z_h&Hr^;M>5m>bt4X#EwdNc`eS)OAF;tz%beYw<5`qUx&ORH26Nkj4=Wl-rsv(%$vW
z%_@0yX;Qlis=B5{s!7f-5R9unPQ+qe-07u;fyII~bj?KnIUos)-}BZy4;tF6s7Pg}
ze$pi=)5b4)i63W7K5_EpW_b=RV9G5PwLcZ#$^}$1)ZNRp%gwNC0zmC+MQVQvO))pk
zNuolGA0|I9o97J?CKvEIoVj(4d3pEWS!Mow$%+^I24H343suFuE*4zx%$=vOfE&p$
z-CstM3fr=n^1T^fx)q~;7FeOcl=5aAYrFY8MH$+99lwpj3g>4wuUFZX=0rDJQi&ie
zfy^+i5s)r08H~gkk{iau(=FR3d_OJNZ>40Hx!K2_(&j@O;^%;gGK!mNs9Wh0`q6`8
z%#ESW1h6AN6TgVq@rfi0YWHIiF!bMgQfT+Pc*zNGcLOo$lOnX|=RLE>*~1t7t@{EN
z6MxOpqUn_ca=)z?R&{XCa_TMy6mzUDVv_%>WyjIL_$7}MEW^a8O`hzN$(Gn=nz_WE
zwJmVnry!BYXKj~;?gxb0K00^urxYo(ECAIDXxPKTH`7Ybi;a}6IHxkEO3-dhXwsJ=
z6=@Z7Y1G_IpwIe&J}J8Fr<J2bo;13%g;dcT?IATbB4gN_bAiUme|-lk^z2QIPAEzH
z5)nMu;IESy^NCbrPSt&LF@(zLkb)?V!*wAq&zAjb9GCCJt;u?T>*g?Rh<w8z;8@0d
zqe&=I^BVa8Vvnesbj2>lri9-4(xu8Jen?cHDw9T|s9>+uMED=$>M+L#BTlf=$-Tv9
z>MmR#b-lsd!iZI1dHwceVSW-Sjy0`e=#uE-ZlO_uV@_q29m|#af1f5=ySH5isEM6i
z*D{^fnk}uqq!k|SN??B~(O)h+y>TG*?iCVrnj9CsO^ZRUGVhDpv_hJt(ZpAx`XxWw
zW&%}nC*DeNo0OXg-*^YN&fQgQ(c6_LV+3^bS`)|F_iRhN<=J2EIH&wP+r$ATI@2k_
zV)BiTZrqy{ewCL7UJM4JM`#hp0j*3EZ<vw=8?0_}gINGYYBRidI+l%%NWT=`hb0|x
zIv6}f@c5TJJ$*9c^uSgvrDAvB29bGy!t}?OxsN}>H$VM}-n-{Ce`d7G=ABwF=qs-$
zP}{bpFmcH<UbmZVdq!R@jKy$hr}S2ifa?VKTj1Dc(v92Rxli$!GPH+|o4+0Yh1hf7
zcYg=zzN)Dk2kZ2tpcZW{Jawm>aB@`&o9c9HCU&-~ru#E$5h2J>2<)Nl?S;HkFY+yp
zZ=6kO4_>+#$+yj;=81tn8JIImj5^&3li6;vL@4$OhO@)pmkC^Y)d5Iy?MAQLqh;nq
zfK+|+=8Y$jWesK|oy<dLH(6OsfV{p57_Rnz$LF!pt8NEPQ=rQ!xvS-VN&}R$(!85b
zfMSFMpVuL0Sn(@a=kV01M9R8}-|op%0jQb7bb0QUgUp}Vr6NmFEPzT0kg1H+bac>v
zG;}~NLJU_Ia~S>%J|%^#1A#D9h%_Hacl*Cf0*R&%s1wW2C-xS*tbvs1tL^g77y-9u
z5bdEXMbHe3-#HkN0ljqQUq#Pu@l+ELiS|^D>+=bO_TtA*9h?8XT)LfGi0?h)@JdQb
z;H{$;a8aO>w)|31fB|`<tn3F@5Z2TXn-1r^aCfguyX_3*h49j7wrV}EdE5QCdbr*6
zcgIl#-X;e;r5I?cK_GA$c!}`<1OjL#VQ1&6tlsRLoDWr&4FbP`9o5n^`l%2qYq@gG
z()B6>!`trVCd%E%Zccm8U(<IF=o7pYRN9_MF@Gac!CGo6c5f@`*9hBYWXD}+P<-_J
z{w3nKHQ`klmh@g@qu{of^mjWynoS8}HbEmtAg7{2DmLsDv$f>_(!;bPbM@NOrFe)Z
zSWSt`#groqj#cw&kH&`~SP&r9@ion_eFzlOK!%aH)N9Ysx78-#;mXwV?`*tQ0h3v0
z&(Kf~Z8y|1*qktU40@Zm<-v_jU4ApOok)c{dlV`HrcaP=>dvCuLsNy^mecnkK#}pb
z1NNz1;B*073bhziL!Y9ebboz$f&bL%OIEK&fi?nATurLszSQkrv0#*RRAE~Gv3s)7
z#jLS9q+RZEW8Vxz6#pC1blgL+Os^WC1%(T*W1@NwpE}`l>QANQLKpj1D5NHqjZgCe
z9sRZ+WOp-Oo&XW9g0?h9roIL?HeW?~2H93n|M%l06t{?&nHiGKwBYG-QU8(`l<W`T
z0^Pq`XX$0aoa^77dFSNkBU`1M+dl;qs1991z~V~ZH^BRIKC@f#3}UX57+R*Ee{OO*
znLu3VzV0yWKmw8smxs$OT>FrYE{WF1Q?2wTXGw!EE5bY`dY#vrdoZuJ5OxOrU^9k>
z31%IsgwDC^i<JZ&-LG58u1|3v3_d9nnC54|t*<{(c*~kmz11bXyYBK)<!+`vOsNa4
zoq%%eKX2C<e8O9Xsg$ec<Li6pt@G;lEV}4`_Sxp2gcv1EKtKI6HwXH=#vNp;l2pSg
zlEaoA7{%Ikt1?LaA|r-H&oJaulf0E}fj52|74r1WfIp{t*UX{wn|CEBmByX;!&D4g
zZ{)V^NyeB+EMa{2CXPnD8PmtNeY*STs9t6;)JD0fD_9XxQ||xQdEFQ*2D{Rbj++~Q
zQPE&n*m0Q01=8~s?<cbY+`PQJ3moq|hGP3}{k|QA4g)eB^o!~2SKm@hemx)!o%l(I
zVDkFGyC*ou`I7<TT#ec_^P*yLm^{<=ht5Ln^R{Po15y7$GS8z2g)AI8S;@%OXB0zC
zr^<(Hnyq~$9R9iq=65AEIr%`*FC1QDdt%SCJRp3MF$Dv<2XC-{@Y-$2WoxV$8P0?y
z3%Ie`EOhuMp95Vr&@I$bP^7Xy)T`K~d}$Un0}yj6wey5xh&=!pfbcSTfFx=doQIb6
zTA?k-6_A%%f)iQx_Rmyl@#M1qs3A-`ifmofyDZ*wY4_^W{<idw0c#jGgBh}LjVCD3
z!yd~6LD0n6;ktVAH(z!NsZ@H2MSkVHw*iOiBY>j+sw3!lu+o<$Fv3)}8OASZB?U!I
zN@P0`DK|>AC=xY@3N-+<Fg}c1e2Cq@+uy9E>X~ZlkA9~nT@KtosQ-RAwNCr<iO{as
zzk@P0QT{j{xHIM<zspg}kIxK+AhZs*uLD{BzjWDQ$_ff!0BNUtyt%Ywz^GNnw_x80
zTG2wF`v7F#T5TYZs*?#i?T~A_pXvks4|J|2z(lznSHuuSp#N7efR;Kp7{yT{a)!T;
zL@AqWEfnhVE+lKj-vMF7MI-T5YLVS<M*A?6=J*t8R8A>`lb503dyZQ9vDA)pMJ>&j
zTjPy_IFH^tSik%(D)}&$B>Fd_>n|ae#Xy0LjlH|mj1C>nQLR{tGiBBPfs^|EyUyl#
zDg4%#$x7QkKv4}Z1A#UfklQxbyxV65nuPFU24?2A2r6+nMMOnMM>n@@pszm**n<}M
zZ90-HwKyOT-m%gZiU-XczQaNJG-)F!U8S+^RElV|Og3gFubF{~t_1gnm58vY&&o6W
z!aQkeIn^xh*2a1LtX2~aLu|B?Atgbg&c8RDL8=&<Y~4oSwD?&W=mmP=Iqc>>r>)xK
z>0zrkpCpvcT4|!+dTnf&!BZ_zTRntmgAiJAc{E`Sx|&&9n9;y99m-dJtA0Ing(zy<
z1yDywhCvnllUp$CRIOC!s|4Oo+4`%#0N)0a<~ePL?LDc&SOTN<Rxp#T=G|9tINHJd
z#3vlWs@H+RcYU$XmVCVOEo=^mbV5#!TZ8bj&n7|Fn+S+w%Cbf(68o8+4Kp^PXol$w
z8NG5;@#!UFrDjwp&clf(`20PG%NDs9(VV}vy8FIghfxmsZ=k{}%TG%^774z|@`!OQ
zE}~ye-(YFfkaAws1PxVm_;bsn&)@r6)K#<6#)CJyLWOBsio4-_f0YxqL46@oy?QBX
zF>LgGW)Qda{g?e{?F_#`S9RZ8l$S@?=26-VS$!!Xc<&Z>T!XiX-UYvjI9>|w*yZ?E
zG#H9&lbS^0_v%+wH?gK?aN9i_xVsfmDG61*PF3~F%@Sj{$!O+=M`8wR0k3Py3UBwC
zj}kc!VHk=G`}KYP?vN8sbr_uE&J`G?&*dWa&W27Y9FEQ+ND8q&LR8d4j&xRa7{?2^
z7p#@gI-5Iw$nh$5L~uo9B?B5@W(&pbyV<fybZq2UIDyIwX}G&Nv|xZQDu=W&>mOnA
zRfZ>RcXfJCHiLy{s2cbR@7XqazxZqGfK&jIlPv}v3g>O9S}lkABn+(L4vILFRhJs}
z=^H$y=1%XX?fGk6zTvkTs!X0Jq46ZINY#@tEF`?j|I+sOeHh_=zXipb2_Eb_g<c78
z1iImmJ@AI1mW~|McK>)8p@0YZLg7Z}OQG%7ED9Gn1C$33^ghL3%>?*8jSW8>wBYy#
zYq!{ViV#Kw3U$8O0+bKINl$(=H4>IN-l+};Sz@Tl2%lr)?xK6fwE>x6RVoby183nB
zv@t=2bHSUfQ+L)W`RLmSm+g7k@($wO*u^HM_=C&Fn-yUDhT~99?~Z@Em!Vy%<JBfC
z9uKWc9?0^Y>=*q!?=~K$IT1XOG#hRPxM80p!}hO&8&BKl;Z<NIwy;G1XNlViPgOGm
zBwijot222d_uRDopAqNF1mDkw^X;+A`6Pia{>I_K%@`l;Xyg!ZrT>Ibe9ip!LPcRE
zM_JBl)Tf3hWn{Hw1m(4E6*@+DA^2{u3>C5OR4%$uz|DvqKB6MuXDM;QIJQhynfC7y
zL7z1ga#s+4s(NjT=bIZGl^JTMhN%1cLZlVGPpc22AER{BZl-Pfz{l=*4LCA8Tp9hy
zf$Wr=wG@*f#?}OyQFqW5=;lec99;G{<KQTF1H4xn^R)Mv<wnD{(q_{Jw}bZDoK#eI
z-R3?rh>L`#4oZMNDIMfss<uAbOYs^lep$VHGeJ}aikHfixNl~i_@65ZZ@e_w0NMdX
z{;cYpt>1I}4tk9;Zf^*WEKSN|2_`ht*pxOE_ze%O8(;O&-nZF5780Q=C;}Brhsu3$
zrB}BVDzwQ7Js?ini_%WDq^lOAhbd`6S(@*C?-%3PMrphF<E%V(x0faxG9TzLXOY*Y
zmdB?T@}2kkOeuxGaJ22yvAJ;o1$BOeMj<cPs&uC3y{)~d*pHqnvJF7Q{(Y+nAH9z`
zi!6$CIG6VeV=)c`_vN4VNcwOVRkfXl{j-SY+pFkxeI+4H<}UmhD8a$hguXvYJi2V&
zhNIQvQ6A5|xeq*SNt=e6fb#9_PXHMtTDp@S+KVZ~b_|x%D&Y+QZ62%rZd%6n*R(3h
zVbwrYb8<XhCC^SQ{IT8Y$ioV4+(qKup4o3gy^dYSLJJSs6^DVl^8k8?{k2teIY>v|
zn(2l{<j_&v+@Li;S!p1lMKI48gtZ%&=VdFgaqvac{E`=rBJT->kr?J(zpStod17&@
z=|9;LDo6_~bqrTn!cPt{c>dfpVh%|6?<A9ceIKVSwp75-AEW1tOh^f}i{l}s%SLO7
zAxY}OTFIo43{N|(E-n&MU#OVzja`R^d>{->f(5-+JQJ}nXeWz=J9Ho*6gpKdkz2?J
zGgMiseKo|qUw~?zZF^4W!eLQbgedA~@b-tHJB6y4@QaFKGZz%HOUOs1r))iaW-lRh
zSlBVt(g;hu-)>ai`<BHf)JSrBTh!Oh(_gw^9^D!qw*ZHuqnCd*KuDOO@p}ZH7h@zJ
zQ|^R&^1zU@(Nc=(`J!vtnbowRqTy*}sFoAk(rM6=c*8tA9&t!RkKsW}hUQq6I}7_J
zl89ay*&LX5f>$w=*Pq0|IOK^fXjFdk=hjpk?#k1NUb#PRV(F`YDxjCg#cEr&C6TPZ
z7~HEio<^YCqjC?zU_tP~CmOx6ITBfSc2T&%b=asm%5iGMuZdaaDOg2tyU{lTmgvNl
z!mUp~jp1W%A&FQR4wk~{SRX*HeHi_ICS!gW5_R~IXCtuH-{NDDD_M~eQOp=8`?w)z
z`H9bTb4J0_w-dyZ{MgB48Le@NxM|8iGBfXU&c~El98+8zB__%yM@~_o*#2DoP(yY+
zUk3ZE5!z>=J;WAq4v9#Z6cD)$OkEXFDE^E?7L=4y-B_VuIL?iG4~=yZYpY-W*mH}S
z+Emt?L*}R!YdgzP@7-WJ5D@ciHJ>m5e$RZlZqU`18~L~Zt}{To4kiV<pP@p71^v_*
z_FWuf!#@MnO!EDgft&}5G>gKlkz4ZW<go|aC<l&pluF-A*nf+KvIe>iPw+mFz<h{g
z6Rb`rsr}6XD^jBC+cH}m2Sa;%7Boe^cR)n?>+;Pu-CZRwQm9^)T6Y$`S6#$QJ?quP
zr}v$<X&GI`X5K=yfl6MP>RUFNNWB&Z!={Kpc1j&edEyvR5Z6Y?2{A{LuBt&a9-1zo
z`Eb;KWHoOIJA2!wM8>qJS=5I1%_1Ikf4cRSCk5FcbhVXLE*!UABt0qpH$NuA>TQP+
zn>BSnU8MQy3l1@B30k$lq%D57qtcf(6%NfQwNT~qsQB?x1s(lAlgL6Fbgef~8V{%w
zcUQ_XZj?y%l#a6aMfn~La$yf8xT-2-Oyyta98QnhBx8EsKaWrHSUaD8tJ#+5Xznm~
z@ucVUHgWyyH#=;Fw(ZonAPSsM#P65Q&kpWCfhU)UyMR2Sk}r)<qRfpRK{`S5C#0u!
z;?FQPYs^;f5}sBzUDV+lQdC0blioHtXi9Tyg5}3*P>I5zSIDrL_xoqiRwgLr7Svhc
zxRdWis1S95akjb3oiFO8g<w7m&jXk7nXn2*o|MH5YfL}>1l0wnf3>qU;v4qfWbj>_
z#sPd+Bpd+Gm|?EpZk><!*u9?0Ld+|hP-{x<fyb9i+os$1os~)3)HU>vo;q4ou`vOQ
zv6Zc2FINP&HwGY8#SC-Gm1O0gsn`x;ybN2bv)3YPLShi6Q;jh8A{I?;pe2mhB^oMu
z7h%492nl=r7-#&B8pFpSJ5=s()iseZ{35>7imT3wmmfJQR%_r)&QTLa|5tbmdt(R%
zw7xQOa)ik-PAeU%Q~*wA1)>r3+;QB)cjlH2hdF$M^I}8YYrNc3F<FUx)ZF}IgLx4q
z*=J2Y63!bQ>ked1maqVUuHx6&3y@8u_#T(+ou;&+j9xsHwLt}<AhT+5X8M*EFJ?Aa
z_NGf#u7uKlv$txoFYkLrVZ9Z_&&<u#a@6SDiN|1<I^1iNSRks|AhXHiS;EuhjAOQg
z&JhtW2>P_}mQk${W+n<Q!X-VrsHK8i<6`WKPgz+;2X~!55e>|2zp7+ID-ZcEByngZ
zGrO!j&G6B=BK@XU`Ag6g5Y9>lvUd7s-`lP((>Dd~uM}V7f}1ekdu-j$B!8eJ3-gxr
zvkN;TE^g12M~oNX0eX(~xHl}r?kTjMgReHxvBeyt9q*Mc<HWAmYf>8ivYCbhWp-=^
z&<@EP!Y13|VLaelyz@5yhj1-DeNRT+fZQ0gd@W$+-gIEqd{aK!m3vP@K{}`>L%Gj)
zey!z01swOM>8EIeWYr&!7t13*ZjT-+My(h>E^^kT>tnvW$5GYA`+f{;SLYg=?@Ll8
zX=k{mgc>9b$+1J-QqVZqxWzI1h<k>TdyDe3pYwDEA^-dEaU%KZ+x@eM@)2u7kc!Rj
zX`K<#Z4{SJ;Rh#I<Kfn-`|NVw)AK%3`YNZ3=vA*DeoK?XdD`a=XlUvlv$cB>M>z@%
zZ4*mWXo@<DG2hZ8>tm-DH-C0hupbyKLp~q0K8N47yx|F-#H=poQwaVfzkJ2V>`k-^
z&Ch-*++XyE+P#wu^%OtH{hmk!;=o#4R7`#k=x|6uoe2t6He0gj73KTVM)cTBg#2fY
zs0ProC0y##Gsrx5ilGd;rSDW3K71x)B~`5^DwREYS6tmS5vwVvpxXEofqpgUJ>0v;
z5CBE}c#K7<IYg01zfWxTRi4$9`8>(7j2@#nM5RP0f5$24RRc#RD>{|4LqF4#H?~ld
z^xa>B4v!x=$jAyde;|lptNcVRg{EH=W0Z26#zg4u7!qT|5wT2swA<TKKz^&ZoU2Sa
z7+C7vQG^h&MP&{Il!&WNc&kG1M_%Ad0C*8W0`F>-Xy(MRMIKe<qtCwo{I&QvP@xK;
zL9uzidD^pG{ar>HL+a2xQ&#4N>hU4P*W*uLorOvyt<xX8%n%r!JhLorV^fe<B+Qg_
zrv@ET_-TQ;Ted7;tR)CQJel-|D9$T71ZID`cZsMcO@C5p$-8QWJ9JL`F`Q-G7K8(m
zSzCJstaE&N2N(omY|vnxB4l3W12|rD0Rj0j6JEB#E#p7#ih@Qygb!n(n}f}5s;LbM
z;*}?j5%r3qctO_N)fM0yw1(10ey{~Na2Bf818uQQR^(R_Wha8L*?gid-8zrdPF<Y+
zD@8ByYela(uJ>*eT!f~{P75hQ@&@mQgCty(CYCl?6-3pG?4!Bk#`oWp6smqu<=+kW
zw?fF#KvL+(Lo$Y!a!9`6%-@f6hl0s-fy<*`aMVHigSAdw?AOQ-__Ev8acbF0<qy4$
zFyf*kbYHT5(~tQ8G)mu`^-+Dof9SEfdyt!zT2-(iewfI3t>Z)RdB~(wK*1+IlONsq
zboTYq8}8w=4$?0lclCJN;6>kU=-pM_l;8WX8+w?|I<M^htxf&OT$}Pj+o1Fib`f%#
zTK21<oM-?%L7yl~v#e~YLH{m;UgAls^yfy4lp{Vp(c4uKA|v9%kk8#zU2O1vz$0R?
z3ObuY6R~jGXT!-&S!~yk^N{jK!0DscP{xqtb15?84#(w`a<g(DjhD%0XV>aI@Yh4H
zntIjq&Iojxnc5C<^rNj`0mmkrhvy1Pox3mDSd@BJk}{S`fih}mxLfw*;(0Dj{T{D<
zjc9Qe-Q1=ZgRM59j0Am^ra>vkw+_;b4pKWJsW#?4&#L|KA>0*b+wn8FARxj8G&f?p
z@AePY9D#B+B4MTUz@RH&o(Zu{S!QMEw(`=J!LD~I<+{ESFUPBz_kjcyvE47qBlI>Y
z(KC3_dCcF+r01f83t?8`2}=Za29rxIaMX~_L_GG1g576G;F?b9JJ<rVaV#!7Z?n$l
zUdpL4Z&hQ7D8mY6)N$l{9~k@lf|z<+l-v8rGsno`v2pkgdo(^pVU{fUn9f=RLhmpg
zvNC>?4S{W@hlt@9pU9cwoIX5>=!KiqYvNy``-b>0P=aZ3mr6rR@m^<U{XngHu>tPY
ztnS1t!P@j%-$w?IG?>5X12GfCg+<ghZ4;@%xRumV#G?w-O~0gg>ov}1V|@gXeyuDR
z1h>sw?B%_nq5oQ=2F0=F^xYr?>%^E$+3U<m4`osGsks|C2>*^+e4&pR99|_V$!vws
zuOa>aCfH4yEsBDGt_+}q0>Gs^fo1?>jqBa0Uc${l2-cgC+ar11<I$cS<}?hPn5vnZ
zsFV7r)up%S+5PmS$)V>5pf7tR=+b<rx6$j^n#27ms-_avMBUiBFo^9UdN@Ehp<`et
z^Q0Ixb!<MlbJA_pNSbVbvA@pFQdaP7QoK%wp_mB+By~$DN8cY&x?6{FY}^n)k0hu3
zTYjNj;%=G-CX`DW3ixHfq^<cw1i~IczmQsjp2I-Z+_(PbO?sh30qMu^qvb&rmXK==
zChrOE4S#pRLHAMrH3t<fXFwUtRQVi(o<W+fUim?V0M$ncbI~JmY4hjQ>Jm#&ib`b2
zZCvi91JVUWQ>KNBxOX&XmoZy&Il>AdosxqFK{<5geJs@Z<ssDvMZLtKMEH)5L+`%K
zqZ%)@1!_DE3tcB$>UPFiF$Kne4M~rSWo4)HCD|S4$<iLEto$LPyu^|Sdx^~R9RAxu
zxO@!IVnAJfDJpt^km&r1$c;1rw{4j8c(xMFrH`At=TI=FlP{YWzMfJbP3W}mCcb_h
zs{lt2JJpKStmh#lfRu`)h&1ZxUSsPCjvExw(|QKja`W>|-r?^NB6RMvEyQg_Rc`bm
z<MOQ8UWQb?R3=R-<zYT1t=@|8LrG0c!>|EDyo$vrbwDdi+$VX418(Wz0o48XGdFO@
zTJZJN_H`Tl#&AHVLV;Qk{#2tK@N5=uKF0=61k7tk@PHCiRWzH&#Z?Yfi%SxAa(A)~
zP`GX6uxH&?A628Y3rB@_cjlNRn`iPbsS)rIy(5*yZX0(K%6GDAqGykf#r_39ug_~+
zqeR>mE#OfW@J9{+#+jUn3C(mQuQh?k)(Sj4s5^m2e#OmUYce2~!!V_+>>;>&z8xs1
zf!53u2oY<pug<}ZjM>7Pkw7L1IMOEzyG>0(rP(j;e5^e$G+OK~7Z241%tYEEcXd~}
z;-JF^4%;~jpNPn~yN=k>Q0`f$R^C4UjdmIWl|F$9IrSkU{T;If3<Q%8T}Hi*d+xm`
z*&VMpjsVt7MOUQI1A<gi*PRzme561YTEclzz5kOJ+}(Y@8*sVc`58j)?(T!fnfdwc
zB#x5^5TMArdjB2?+1FM2DG+#8tmjn^GP1{ZKfp7loKHq*(Bh7Q=b<M|^+Xn-CDK2%
zkAMj&!A)qYSdJ|Rxf*5tg{g#r-~30$Zi{5|0MhvCwDg%RN>f8`E*oO0(nkH%WnQ=X
zWp72jhtdW>2#`vq2wGqNYRM_P#Y9BBA1gM5Kh^+{%|WLE;8_v(>aMR`fN+eT0^FcM
zO>0v}Jm$0hQ8#+4ol=8$qQB@ux}K*<p8F{kLzKwTcbJxI7L-0rkNjC^Y7=ui4R^rc
z_uc0HW+Ss*aktG}!=wL2*;|K2^|gK92r7~iA`LPiC>_!%3}MjSAR#%F3=JyXB_L8#
z(%lRpIUpe24H7bhND2b)8vR|@_1y3C+|T{K{ONJH_nNiWUi)0<`Tc&*?w|T{`o0|w
zVA>#NA6X$c(qL12!lq=&ZAz1(V70+NvhK__dGKMF03H>Z^KuRd6E9i@3pI<-SO)76
zChvm*!PAr0tH|zdxx??H*uZLdH!i-zn0o@SpnwNiUQ?5-va*sJ0G9A6xTOYIV+h+d
zwO>7XCLPapcH{l?`DjMhod~&spL<0T%!ldlW-$ERykWj8ITW+^U_eW~iHe(s)`YdE
zLs+zakZgIp!njBL&GqG6<r8^tLoFMKuZ!=SwPiE?eL`ZQP!dNuppqfx+<evN%hgxB
z`^^sCxB!xEl~|hpT_I3)F}t7u2jR9SxA8S?AE=Q{K^6PQxnH3-up+Wtp7>n}+SS+p
zA9bz+h1EZ&PR>M`E#?mmkSp`ch#VS`8JdHdFS0W|MrnuoAB9r&W5Qj|)=XwEsq7ZC
z1IYyvWqn#Uf0FN&cDhh!)nP4l4h)ym>DJC+%d+Sdh|QRvp8W#i)mdZzFWHJciqE>s
z>2?qs%*^hNV8@*!UkkeYQ*`|3^LTdmnSGLshq5Tlj77!e;6a~LZ!aWG5^#e+J_REt
zZnI1H!ue6nea5eWVG8z=3yynpZw<sGjx@xGmxFoN<fF3Q4t*TuIB%vz!bg;g;S?wX
z7+G?uTgZyVw_h<KokBIVg}U_M#Q}A<*QE1h9Z!^%<qZuF!!m%>9hmU}q-=HiWkwe;
zTiO~p_udD^hc-|W4g&NAE_8*V!t=-m7)PpGVC((KzzlZ)jO#3D<>vkS_uY@DU;bf7
z)y~2?P-U%Xmj!<j7Di7mPAjKU)}#m!@QNKRuh%cE)=!4d88oyU;Qi!vnnT@q5fCG_
zy+(c!C5Cb7-fO-2A*sMpHFx-gsUrMm3yUl7E3ek`u4}*dGmMv|6wOd(;BDML4_EF2
zbbvYuxCiVeFQ0l~I(0N2#7<d|=B4>7Z@-eM112#}Va2A6XkZQSR-cTh@Ts|2x<xTd
z$XIjX4nA{lGSZxQ(e+qt+o<K9Vdhs#%8%>%(G)9}&ez=$7YpE%{BO9`W}g{T2@<ZG
zxER@9BQxyMKxW>sz%W8u_AIn`V;ydFwiNz!JR3k7_$LiUVFEkGmp_wEfnf<fUrpz`
zi284F&-AVY&??nEKD#Mybm>NL&JhcgyCZ;n^fo{;v}~;jd)E_Q3npA$*-xEnIMPEZ
zpJ>)0q{bj!dy`}Q<D14k>c5AP47TS@R()J&wDX>p4iVdluvu864{uyRW7|=$0<Rry
zxSMuR$!lTo{h8)+=vq}*w%5M@s8U~Kp~XXE>Y^v#VhlkLC*oOSi-@hrQiwi~|9&#Q
znUU*z3lCA(ajDzOfHHK=kyts1T-ZZjO2cYBmt}P!%h!~RFY?pz6zA+uglrBx|JVQ~
zKnWJs;fs?4hFDUtu>R_xfuEibgShCg5}M3sJFQmpovf@ZgCFn;v~P_U0iUsPH6BC9
zK5#jMLVY>FsoBjpYO3F&y!Ba?T9T%Df@k50#=DB-G0t#GKJP+Geb$+u;lA?XqORpf
zz8goKbXD6R-dsL%U(r*}kaWzlHJx|TptY5Q2Qz^bn2F=bb1`DG{wfwAX`Fs+mhK^*
z$#+$#D`DX=*56<39h6pA2gC%WJJ1Qr*rWFWY=RuZr90me;a1;#>FpDj&e>D%>l{vT
zqJAQt%)&Phupg!M4VX_H5ymFZIZH6bC8x}00u4RbFmGaP&m+izuiECM?k}b58gNX9
zp3wo#3@|zy?gQHyz-m;V$NikzUquEcKKw_MeeckFgcJP6>i#=aJ3*$fAp-x2*SCmL
zZb_N{nt!C9ry9@upgr(mm{LJ#KFluk%(EFgEQx<Ev**xe5}vv4PRX9Wnit|8?U8B%
zO;tT_o@Z&QIR7acYsl=wbLNT7eMtezw@i3oZ_HQCF1H$n6dSkF0fV6RNgXH@*GaG>
z@_iM;LgNP0#l0M7tn+HlXVb-5IEjFnA~5kgDC+@xz~->b=C7PI1y@-iJ+6_lIc{$q
zPodq{4@P7yfg1i3!S|^3yOKaMC*REdYSu0dol*v{nO*X)vF&$ci!szP<&QM0*NAc4
zdh{&k#HeHk6s^Usg|m;Z4+}kH7w{)OZ=U(AP^;3#`6ekPBt82`BnjD(kD`4o=?q*d
zh<scI5DkTc@x564l28u}4XQdix0awM+ktrG5U||<8<wq)udM71paqIaN}4RCJ_f?<
z(6zoKv;CDWz*v;FJz53MwI3_tT<xf%T9h8JkQiqxXGj3UflZwlFp+fuJAZUe4wHdn
z+l@l)^fBUsQY$t-e&Pd=RRT7jM}|3}3*79})wjdj`{hdR-@|R`VK0&hvJfS#PT3Ke
z3CtX2ErY@!q)nOgODh-sI;LR{#95VO6E}wa5|-SnZhJ`H?1xXcz!*Fa9;jPo9e>iW
z{rp1fGpDm%6U_W}@wBEXqFhJIGnm;1laW$}O!S5k3<ymbJ&pG;e#e5`{hYk!tz_W8
z16)B0;E!nsJB$B+;xSnd4`H;ap%mhD`TLhntsNyA6Zm~JuTDY&e3j>3jVkI?n&W&@
zN(;jwW&Q}1>cH$khmItH{ewC$)%hvvAc<Y~?QMxu3`V&KU<RI#1viU}Bl&&4col?P
z1<rW!0HbEl?>}5s*q^#~HPs-@w6ezqYVWn7czy?MjF+sbUX|8*B{;|G8mJXKoU3+O
z)700RhlT|_gd7$Mk?E!b`LMgy(IiH3>+q)^@8BiZBT+39W1R0|86K%7?sSL;chF5{
z(Rx*1XSZ}yCKDD|@R)cwa=lII<4Y?D)%65T`q7=>$Kul*Kb*1Zj_7c@88E@YDe`|7
z;xC^xfG|`Qh}CkRCA|PHn;-6C0C?F+e|0LK>bBsq1E_Qj8|dH_z-`)t2&jjENqKJ0
z0BtD%o3c#5(}O3*U`0DMO;1uaLP?cn-)u%om0UB!>h?0VGOwfM>pZi#oZ$1y*3Kgg
zDo!%eeBh~>T4<PFD>$>^{7JI_ic7^p(BJVaWB0a4OLFFuY91B;K+$6>9G&9LbSl)8
z6*QOly9^We7m%^4q{RkM2F=W{Su8F};gXXOJsQYs@bnd2Z{c8o4W$h%Q~CoBK!SQe
z=W{q5;s=x`o(SAt1z=ceiZO{RPDqM{95%VL;zD5*yy~Q8K{2n-?mdadlR+#z55HcX
zH9uOTf*5?Y6%(*!Hc)akfmqQ%Nr(aCTk0s6e3FGDW)VU}9&e)KMvOfr?T1b(EPkDO
zv*^UvU4^>^aB+dgGzF7K_6jHPjbO)OT+KN;_uelLo8_yQh^|4Q-{d|>D?s@E+`E(}
zo&F#QTZNvf;a9tgy_;2YQP<dWlVPAtb{L=u9K1b7br)uxrm~8b+1Iw-B>!fyRm%>y
zaMj*$M^f_hJ{oScYeUj;T*E`;#pzXGX0P9E9Xi)>-F@Y<be|7#LN^?SG=V^z8G~YS
zLUqY*RKO^@PX^jR;bN06s1e)}HIQjE{=$Y?su4(pm{>dsO7c}j8PxR?<kNu4=6=V=
zbI%Aq8x5;0*Xedzud$o#yspYMjcSRVvUm|-C&OzFPS{YYyJ=MEVis8a9DOfH74R4j
z^cOw|aqTdHQf#f`$&?5NduoNt&eYwp)Gq1NOIL6n?MDnJ@^r>p4Ecy-LbIhwIr{GI
zOl32h#O8VxY9>_j)>0xu?odpx&3*6w9R3X?ciw|#{2T~9IW0BsKoO?g5Pa8zz|4tV
z<m+0g`)Wi(@WsOXe~a&%=p9T3E_eNtUV@@QHFY?z4#+g)qfEa>){f7ob)ZGqKKc!J
z{CAPm_oyg8Sn1a4AnEw8g^$mxPx|=Wx?Ma+`Lli)45NmUB`^~v;YMO@dh}-qcIi_0
z02-K~`2U59uwzT7Zcr#AaLe8b!jq{XwRmvXNFvAZl-M?<=g#$fGL)#AB~qY~AdEeD
zdNKDya{4v2>JQYq2g}#MaL{Mrb<Sxy-(Z`>fgZDHvd2@6^T9u66GWGzM+AVh%;Z<`
zuoK6#9}Oy>1k5(fOdi3+-PFus2xiT`Cz5h8O=zLr#uz-mIBCd*Qd-1zwQg;U*1(|x
zhB@zPnlGS$ONjTvr;PW;HNCFJ;fW#wxfyI(Om=Z;8vg3*Q-fbA@XIF6tf<3l3??JD
z-|!<?*>MzKaLj^)DNl=WRCbiO&2jt^z2KP5ETO*l&uU5*8mw$5R6~6GD*wa3DnD@Z
z9wN0HdG^0+QycwJz261j?Av&e>T3DmhiCOe7mg8ON6lXm^+d|e#;meLL}gZjGoICL
zR;Dm;ask>D#&xew>Xqx^EO!VJ6F!8zgO)u^FsYC>W0N5j)Ql>aS6(T3XFp3QIj?R1
zBn5|g_4X~Mpyfh=Cg%J9pg@6>E+B@6G|u2z;uAjeyJEEl8FSU|ABXmwoSim`=ZEp8
zLrlKvyz%6Ae(SHp_sp1I%y`r1Fm+m3>p@{{pNpc|vmP_KNNfsQe0?^SBFE8)X5dnv
zbWyuETx&9Bw}~6O_n8wZCFo>x;sF-<pH)7&qWIAhg1!Y6+iML9+Uq^fnfiU)UIq?%
zeJ5MlBn!i2fz3tNopuDp;4=DNkMYnlNKR5zwwb9}h{p`Ay^(DxquoOi6j!f<l&m{R
zy$3E!0&GME;eu~wI&q&K{%(mN#58B7T8D4N08s!8JT7sWVd0I#$E|aZ=6<bjsAeGP
zucbawL`--wuVwzy?RlmgHBBH=Kd?D}LpzcCol;1R&$P>1km*sN$7krRaVNFHAKvRL
z{?T6w?U=*EJNU6R@iWA4lC5)??@sdz9f=7aAB9bqUyQF0Lax6ty8WZ)o%B3gAE-^u
zsgH4Oy{~Dr?+)Rt*XvLj$>=$@7{o!(gwG#7K+yxiH^V}|n1}vLQttHkSwsZeS@T!%
zI^(g8O~Y#zf?1}!r@q2yGcv=X2Y4+F5!i(|ve~M&Y<|}rTNIEK_ish4$A;tbI7yMq
zBm$vdsbh+2<I+uRm8ax$AVsLyckd_drU(9`Eq4dEtl1=S7IY@-u<faWGY1D5j~tIz
zts*1#B>9CANC$#2rruJ{q-IRxDac0#DcfW*-=UphWLt+@+<#xyCDQ%i@kh-aV{>o)
zY{b%sBU(q^gdbye#+O#o=mgVk<$Fsxp>5+XGh>_f!mej-&4Gx=e0;a~&TsOJES=#t
z7j8gXwX3jn__}6q4$Nplfb1M7Oz!YKG5}IuFl(7RtfObKzGHUUd^4>R@OmIJ0rD&2
z0}t@VMW{Ac@pEOwE?%3}G0&QH1EqIR>w7l7A1%HA;oV=(_+N?gbvB0HBPi>Oh!@9p
zDVBt#TxZRC{EX$a?aD<(T{CL>!t9lX7J8B+!82wN{d{l3;U&#}Yf8V5e`5}u7pX2@
zV^I%PQY1&Ydn!#W8=&)<=68V+shs&%)ymD`?Y1Ke0*Wln3_UUh`4<)nbTHjRLIQBP
zu#9--A4EHP`m<9ndZOj_okwc9-_CGO=tcQ$<D$!!V{||=AFku%-_v$vrk!D#%bfM8
zBKOFN5=LQx>k@hE&qX-&ERy1*cp$5ZwfFTkGvjLmiK`=?6|JAXgezmCSC6R4ttaNh
zY%rpEiTW0WBkNfVk|hE&A$)>)Hm$$^)zEP^uB342$!z;AJ%mm;&D9iHde5{_KPGW3
z+^C5Bbx%og{bLPQ$t<Uz5uK3nyjZcbGLlC%r=T1d_FpvEz!61A)i7=D>67%-LfesA
z?d=&@Pnl*BlUSfgZL4>)>Y<?{pE^lEI+wa;=4|u{<lPSSZ*d?;4MhdB@Qc%i^cVqv
z01v2s_WPP)1JyY>T2u#$qtZY@IUX(tHODIsU>b@2U@TYj>PEP>m_JJNvDmf8KxpvX
z14c?GR3^y=A?S7*JItPREBI8&Ho?<Pk3px?Knk={cW0|W5ppD+)Nvyv1L<A*Tr&_R
zzED)6!uuiw2Oh{$qGQS;NLVEWy(0;po`|YfmBTneR?17JD8YN6YSkb9+<za_Sklus
z$%YkyHiIm51)lDFNej_>Wu3R159)2a7xIka^*iom{I4dxLO`M?@FkHY!6nAu%jVoh
zUv|jz&t>&rGHHnpLz$X-9^K^nag=@HR#02XhLBMMiTM}@{4T3)1I^9E)#m4tCOX5T
zkGb&Mi!&{*EOhKR*_hukL7XArT25gnmWzedP(dZmEO=I^f_tnrzR?m&es53B-Xe(<
zkv-E;IP@LqHSPPk+}4UiJqE?BcWfNgweGUw5gF2h3%rsmImm&QQ3oOml7|XCPZjZ#
zDMhJ_%(n&!$WJXbOE)hJ3rn^uz1+qW=F~K;1bHuCo7N5KMc+$G@R-S;_oKY4-%+r^
z5B6%nc?gTAeoLAcdWQ*|$tVsccI9fMD0;)6UkG1dF7|v$SW3A<YxT-VFF41w;L{DF
zHtfHL6(lOtgLm%eA*sJr@+yn+pO@Kbw!&7v9ekiXWxPTB5M7Q)7lOEWI<9CezYPG@
zNeZ{8FVT;>Fq&W9n}drt(iDm3J#3a8o4~dVyF}#N?<(HaJU0Y|$4Xl_jY^i}!45c1
z$tsSsY?Q;sUG9(w=)fhL*?5`$kETzwemOCCd#GL;5cM#p3uRTAIZ8|7xIuiEnl77q
zs$b7@{*aB1l+!AOHvW=)^~gD-bm-@wE9-+RbMbxcP-?XvrTP{|xA^sYQntr*s?xwE
zVizSNy=N^qUN$-l6%s2eKrUl_Yd`ml15UB9FqWvP?YpT%%2{b49<kO02!o{}VF4=5
z28i=P#@}ypDTrOZaEiLh-#_O)6Wb0-5h!_Fy18!;l6nR)Nd<kCB9R|1v=a-B1*^dW
zHzNJl<!^w?hp-Sj!Eux}Ss*Mc!1=H&`{{;x>t}5*yD^uh#@YmyVCoMq7JdWe#?myU
z|MG>C@Vh+{w81Rp=fzB}DC@L-&Vl29IYt*POr|-H-Yv3Gw2fi&_7?r(RFO^G9Q7{q
zM6p-^E!KL@zWHKmqwn<wKM#$B6kSspOEPyrPKf)8iv00XfN$11bUVmL-!_Sr5%Hqe
z`%T&LRKE7w)A}!@#D8^&TwCY$xo^8zVcWG<flCLDx<@?hvrZU5)H-{XYIW}U15Pz3
zK1wWTpJi{<ce}71S@$R^oHo42HD|op0a}{ji*RP)zVTk@^Ymk;E@o7YDXbGrHO}9;
zI5H;$b0J221+~4mwtnx~PK9dpmjs0b7RXG{b)|x>N>UE{z|36u7Z2b?Bnh7hhz?UY
z_pIL;d&o~buFC9&86m0NiQvk&Kd|vrAro&QK(#ql$c7lm>rJ1_eLL&@*TxdOL7EhA
zaf-3xBi<VbEKr@K*u4tTDK6<D$|^1{Gsj+BMG~L3))%bD=%`mq42TQFLUZivr^i;1
zO@0YbpBCD}#%<`cP1O2pV=fy+n(T~H1*Srv>PDFR$&Hfvy|LdPZCowV^<{CxubBnU
zs8p35cuVu*)0;d({I=@(=jZkiun<;~H^aVqK(yRk&Vb5SbN=;F(|*kUic((%Px=?K
z*e~%4?^3S7e%!B*nEhGEi3ojpHA;d}p~f#Vyp#E9#s}19*JF%LI~$~<ecFl({i4F{
zBbUmjBIvotwozgkF{6Gt<)hI-|9Z%&zAN{<h7Z<LSzhd?jNVT<4lMDEI1&+uiJ3Ro
zk9yjTiNJ~zS&M1~uWS&`@@Ha{Sf-3!h^qpE*Fsj_uWV|AKiHhOOZ$GjXpk-w$eL_1
zu^ew@Uwwht5z6I8VdKZ5@@i8TvIAbYY(?LJpAW~J95JC4w+ZUXH0E5Mi>U`tc3(3P
zUOCGwN|H=-?N-xK*F;dW>3Q&Oq)POBe?Pa|t^Z7W*D-^|_MY7x@ngxFYedMx$mcu9
zD(X9QdliNDH5Eqo&@!L4?LxmIWEXta=_!MAs$Zr1ZSajy86Tq27GiV07)y)?8WJI0
z-<+XvL%&Dgz(an^z|{4vnlw0GxCZlcNQz5cMu@BfzRe9JboA_Ud1`ItYq43j)!Hsu
z$4?mveftFMdR&ufEYs%i6;~kPP6H!4Ur4BJudwMDtrQ>AK%ncwdQnQWaVkE=4f7~7
zO=??vM$a8QSmBx5tWzOJ?5ek{59zM=!NG(dlJqOu3*8isw~s!$+=lw5s~>ZW1dmIq
zZT5bZr25&CZvL4lE<ose=dy-UDF*k}`rH7^i`bOW{xPT`L(ZQMG1B+Nb$DYv-|7^F
z@>=PP0P$}LI8MOPoxMx)T^*Vyvnj8lG^x`Q!J-%lx#{}PF*zueEyC*0unNxHR>811
zB%gOue^p}N#C$Hyg9m3)nyL$FuQ>m+K#Dxju)DAfwQEG)q`3y>cmLSm&$xfC8we9C
zv-Wp@RF;8DTk%|~oC}b`EAH*wPOaw|Zd{zcSowPE=^D&vNMeDX@&1-#j#UaUd*3<s
z8M`i}L_By&{{8O=@8gGeM<&SX)dgFn5DVX35YOa_BW*SvB$KNq76<PQl2FtMjIzYt
z_x<}T--q7AUnsNR3w;c?KLLJ9w7^8CstOYb{rLT`zbXA5j(H#f0*gvvK@E(lf@ivp
zNv8)QdHT%?#9do)5-kpd3kyzC2RQ_KC!$7kfqA*k+BrMsZVK&R^pW?3c@Ev42;OYh
zJCWpHbqJz9ZsX9jwdryZBeLh)#~(C>QV)9>J9>_{ZX+LN2Y*o&)qSqNf6Q9G+Oigq
zE~7;2+snEA%2=8SWDq#p;uBn^3s8kxmGi0cHp<JKc8Id+Na59UleanKwH2^?WB5|^
z&r!a}a751-Jd@a3^dw_a(hdWso{wmv@hUW`RTwOOQ{>)tAuW5MeY)Gw*@y}5u6%*4
zla{4#yKcPndHuJV#+2@ovM)GJD4i#gb`!cvhuFAP&L<H~1GEzP17K!maj$e{pJu~2
zg!Bz~<b=0A!8-Ucl6NkX?pOYa_~ePNDfP}x$jAw&h*3`BMHIQ)Sy<jqJ<p#3?4pEe
z<Fj`W@FI5JGkK-h9aSK=0hErFOFItJuvq&}*!f#cb8)3)N_Sb2ui=g((F(&tnHw>r
z(i(X&Yb^miQDSeTK9BpGfI3`T!QyKqmbYg)U6t_y)xNNpZZFpa!2(b*gWyoU|3ugQ
z7t!o*HQLAo&E{CnODNhl{ZltPx4As>{;3ym<m_0^L@=daa2hQ2g^TV~*QV*5H*aqc
zM`QO445;|DXd|wK*K~?4C3&hKEOReC#H|EH%QPj+XPP75KeiRUbAMLg$DhQ3dcVn|
z5!W{ptFE(?uDkC8B%97_)-4>V5cJur^LZGnvzgQtbqob-f3gF&w4_DQ#4GwMN^$Pk
z3v$Ui(uTHpuu(kFay?h&ThJF$+9X+oPy1ZHUOuNSdVQE%vr~UG>05K2K^oO%BQ0CS
z<~#$7zI{T|4dj}{Vo3p-<5HeA#0&j4EVE9m>6y+eI4Azm2iuxIND(JA&K*CV!OioQ
zZ-tn*5skFf?v%B?`Ouv|IDBB<75>sEbYZCiRVWNadWFkP;OTSp&+NH7v0&HTY_~a<
zM9_zi2ZU+4+CKlc3ew{2C6dH}dRfR}KmNN=F8_}a(YYj!)S9?{v*56DuaKwE91~z?
zPLLlE)!kpwHMVj10isSZ@tM$K@>)HoRu}S{?G@8CiuvLjo0_rNYshEGMQ^HWiK7la
z(d$O3>tS+bxBE1A=pydYPBrVz?=r9w$G&CA@n8Ft>{7YXRdrcCXWpxEZ3((xOG?RU
z7g_HVW8GSXiX;{ee{L`RZpI~wj!an3uj!Q@e+(&e-$xa2MMf-mbGxo6IW2`@3G9$R
zWL`!C0s-+5HuVG}9w^EIoJrIPdN$0gntS7NF+YbwIWODyF>ZZ6gT0qq5b7yk{NCV;
z&o{ezl9`TgFC7Wy{;p@b^ViTi2unIWSDF?9lZyq5b>96SapER!(!+05$G0p4s^IiL
z{X-PcvknfTzb{wRv%f~s?)8R|4|bQID<+c4;KhcwqU4T0e=sE5nSs_7YxGktVw18r
zal5rg$~^Kc%}6T}J6s3W2=h^irp6kYnn;e4XvEREV<GrTgMTpCZ1^I~k{*`o{`UuO
zx5XRwz~`3_uwy{5SQNBjcJvijgWeW)p`Y{l*}APH3mNSun1glxM8n|U_aHXmz%6db
zoi9q4;mMlLz4>PjrhYN^^)f{DbS<X6OdHv4KW@qtS8>gudn5HuP#`7^MpHcp-D>ca
zTTtkM`_nuF3LBtDL>QjtJ3e(+e6b@xe4GkW&q_^_Mj|Ct3c$P0X^z;vRVS9FM(VU&
zU<k5VN}a2%{gb{*Y$8KNdh=nn?4pFf9z)0OqIVb8p04SeX~pjQcKC<|bK&L{!VsVR
z$>a8k)i-OiJ)DAsdJd4I)O#KI)Hu_y7_-o^DF0p(qj)%EN1oXG>#$yIHZnR%sqki;
zuzO|L2YP#O?~rP-@kkDLS6ktr<B%p!UgPtM&3j@+r4`!(->`{Q_3;@D+w<eexY8rd
z))W)R$*e1@M!Pa-VKgfZp<}ie5sk4!t2d|nS)cMJIN7(}MreAD;AHJ=6fXZVJyGW%
z6ZX7t|NhSAUa~(6TmG-%?m|?Q0#Z~wQGVienk@G6^fFa=h=RZeng8CDu5}~<V0zsE
z@dVIb^h=;^(dJYIqmslgb962Hk1i$sY9C2&Hk>63;HzAK{)Mi8Ek}v&eg++AYD#gt
z-hee#xx(DH74~Q(X<LwRf1&z&jj!CC!lsjq4V(-d8HAQPPfY8cDxZZ~om2kNI*wgF
z$li!ff}cHpK&9)?QdMv<+#QCBvO*$8zGOGDM@L)}4JT}mzd(;4B+PpvsRdsEFCqYy
zcfWh69+Q|DRAW2&;%lm~5O7IaeocLNC;|HVpu2~myTO3kq1i~z6To_svbKJ>;CFQq
zL*)GH=Nh^j%us{NO8`2e#VEHKXGPb1+|Rz}Iknv&x6-8zBLxq_VqGy2pUgUkYubTk
zrTNcOsE;KwtedP$V9Yaf?uq<FHjh7EJ6O48hL(l)tbXA|CpJm(8aHd)bNJYzZvWor
z6{GZL;j;!$WE&NwgEUu#^fBsx{tBl~-=5TgLV49_rE7s{9?W<EC>sG!KDt(iQUCu{
ziKEZY&+mS^92}dL7HQF!nE9tok3Ov72B`6MfSwW95!8ZzI*MtBzFImCf5{S)3yD0u
ze;z5*BpB;il0hs;l7%`R1Ih8rIyF^3P=&k?ep2;d)1i4&&8pPc2HNLhg3IlM;jcic
z>*^f?w#w-s;usEh-uOiNoc^X=6+R7Fc6c*kT<-iA=&>z31VULr_%A2@pH@9UmILgp
zCdb>;^`No@dX4b{yu4)e*}ug*fF{ZKSG-eeTn(u0<TW)lXnBzymI4L<xl#j*y&f8(
z2PgmlWH~xkO7gvPfPAoWzQ>B;nJm?J<#lRoaTw%CN0Jf7R6S?KO2!YQv$Ju_1kjm^
zmBV=6{j&K4)r{5K7$BjKQ#QF;Pp!d1b8-z8bzAGoz1Q^mx2!en0#I=K;i*LP5;BZx
zl-W@sljDlkEQZzb#{K%U^g!dUffPY341if62e7XSWr<%*>*vLKHMjsBkM1@kxajQ<
z`l~F0o*Yn6W^$a+eaRr)a511?{4Z~QKT+KCjd#?Px~wBT6qO4?n`B0)3SZAfg?yaD
zx6QR+BlYmS?Qm}-s!ENN$5lnJ>F~Sn@`>x091Yw&niH~$nP}BFMVgXEUj(u%lg$YR
z$1m@p(KFbW4SeedM~%BfC>>M)>K<hnq4{jIMRPa6P{wZkpOJMAo2M%FVC|TK(&gq{
z10U$baUVU!zOAiCduYcpS~B+nh~uO)ip1`sTsroJPUk)rr^HVV+jJqa7kkjMnLA`t
zt8#J!1X4LZTmM$lFn2b*ls2CACijdjApj~J?n-TzBJ%9C&g-|)7`XGS0Hc%Vo8g@S
zQ^r|zC^y(+PLP%Gw?DW2w=rI3HZq{6QC4ksisbxB$O2tW*jN;wI;qq65AQkdMwU<F
zt-9l0m!M~seqZ78k>|>#(fA00R^)sAqE^nadJ}@z+!*A)yPIV%>>ARuWTI0?2Zb{m
zAak|baft!n^D+X`r)lx+lb)U*U}H|{-SzaQosikaE-)3ZT)N%45CpQ_i{xZ029f9a
zgY;HzbepM(Ip2L|8iDxxLsGCW1jX~D+qT%G(lCjnAr|z0{BWd7D?Kqei6u0AA(DD{
z_zFN|WqqRme@TKme;ZiP^yp+zD=8_R9yyW-7H5;8(Iwz05?PN8WY50-KyXvZ0W<%K
zN{!mJg|C_@GPWPt{lwTzOb9ywUzA3Pqzy|n`ygUqk?ygqAtUf)@|?Z<T6;<u(JnwS
z|9@j4eD8bp*yt1I9;x*_6kY24U^d`XBVUqLvwHQ8ZbD=JSBe`v6WCl(tw(b$z|OkP
zBOeXltX}nH-}80C0Ay9N%G-2jJdPKAH60w*8T&-jetw_^=dksGr`F+{Zrd!$^i}a)
zCw)45m|(-ZSmeB0s}RwV(3RgOg7zIQha0cqeFfg}eofyVy&CAdGZS=)F@(^+>+CXK
zckb9X&B1pgO@uk~6T@#F;Y3*S!}`6f(VST>46p50To$_c;?F2G2&$oh*5(7PsL}tZ
zBf>XKMB@sFocT?$=mta6W_wXqKscu<Pe6u=0VokG0Dbf9sxSY=*Ha1NqFPMJ%jPYG
z<{_`6!KZRp#iZj2S!GUCwU3<`5xJ{7De{3OQpLp@S6J~0Z`rJZj(TkBV8PJ>H7OCy
zacn_pci`*RQa)Z|tOlZ-7cF|DUNr>w-jE`ZKwA`vaOT$1j7Z-ZdWgJmJhyV(Tspx1
zF*Iu&Kw$6=>D&7I8GhfhQT}ow-CFmM-PYVi?YiCb;U2w&8@~??wZ`a?zfW3;aR(1=
zlG+xy0Hmo;rXzc4(2M;!8GIqS`Jo*AnY@KX+U{(5$;y0!X_-Ia1fBMgMBA=JUfHMB
zn&F+t>lcFWHIYm#%dVhsmpVg;X5fhgL}<F|04RTP@urzuO^GEtD=Y3VFI81y(7PiN
zbi&Bu53oCL0G+cKGAMtyWMN(tvRMsY4RWo1`+?`q&d&?w5FX}*fXjwjUGn5|g0Ovn
zlSr<dJz?h6`UuV%Bg!YpZMggBd!x<x6lO!Oe#KEY%gH}lBPwKggh1`0k7U$N-YdVc
zY+8}!dM=Ulwa_1|@UErWi!;S2^KPA#taAsLo^!wbgUYKK`xDD3a`Ih-24gy$5>2V|
zTbL!~zpg3aAbn+!N^5E-ZsE1rK;WNr5K1xM1h&-JxJ?4D=Qls1_GdPaKU!WTydgs}
z<*lH9|Nos_!L;Rt?yP8tfOi3g`Ro4vAx?)cX2|HP!=hEt!!iO)3?{%K65uc-RNU)`
zB!6OlN8Iu#ff##|c|`72B_4mgQ12AoYO*5>O-Yq^5#_8h7hH0;C^<%U$J}B+$j(yn
zZuX?PPS*J%fXAJdAC?!8Qp%ojjt|Xnb`U4)HtuY6eK>`d+2>mb+X6J)c0?OXcO5}h
zS&^`jye*$x9X3cvvrqbEA#+aP+L*7`Hl6~&-C)u2jcmC{Obj4klK2M3`^6<o7&I-y
z!0<W_NXJM({yaF)^w|a26*FJXSfh90OIFne*ZZUzuD#cIKj|qW1&s||82a^_#rLO%
z<qDxh5IDC2SK7N0aaM-HkbaGdMUk3*F*YhYpv=rZYi6uCa5CPJC}eg-+vLW&Qqaoo
z)A>Tf_ZQuSXf;2e4+OF6i$RZ#V<{tKPg+4H&J@kwOD_s|lC>E7Aa+mfoe`gO5ka-t
zur0OC#cxJ}0pjT1EF{XxzB}UhBQr%};3m)az1dc6AAC?RI>;ydUu8~HAecj~0${aH
zy(2?hTpYLkO!Wkkjg=KZw5djX&VkzdItIGIEr=~jqUiyc9y~P&;PwKR>hB38*Z;`e
z2v*?B=6oC4<6Av9geHE3>35reQr(Xq-`?ne6Fz$ezh2?4Lo5_m^<X6436<QeKlyS&
z7Bsy8X&4ouDWO8;7|czVx&KPwNHS3jnDNng<XB>36(wrUCrYGxz$nE8RsuLwXI~nY
zIchTeGz=Rl%F;gcAryRs<45jkCsWc#xp$JKAuMOZ$7MJ3(%oxFltRG2ho^vJ?L76$
zx1a#22O-un#3SmJa&_DOpU|HMK(3a3^y|OUKbw#Cmpg)2(H(T-?my#p-O_mep8Fb_
z`-{fDg05n70OKLF_D)?dBLhIB02GwyWZsRQv-waB^b@B16H=q)umySPHnf6qJ?yeP
z-73{G@1@pxyq<IOMo&;T>dX^bFpp@?ZQQ09u_sX>rq~n<vJgZ1@O6ttKzAfqdF?)z
z0T*!I0$1djFT_x!<Q8;=c1!BjRgpc=^|^^7#IeqN<UO?xS(k@1&pzd^N=qEI3F@4I
znCbZAi6fbu>jCUp&X@ffinbbQRPFIEETOr3$9l;@iA2K8fd?QX3(l@{)n**3>{>?X
zxf<P`dYS5U6ST)71C8bQ&=}l*uw9_jTOB{m9VcKD$o}{d1GHG}0-#hN_g2x-36TWt
z_k=(LO6hdJ-up>tc5L`vj&^;A<{KCkkF1DbtrzfAkM(3dt-uE`-l%E0pUXFbJ&JF6
z?MP^S)T)ry;9oWFCTTLnb{o8diyw3})M{IuxZ0v?Mkfbp+yi->>)^<g_V0sq7`!Tl
z?TxLLO;%yW<%*#|^Q^L%Bqoq>22El?*^GLhD@IUCW1a;Sd4jn){-*H5)3MCNJ*QTD
z^OsCiI<iOs%Bm@QOer;6tHoy;8zJ)ydPb}epo`SYvMO%5doS+Ie+y8}C1|Nw)(3*?
zPeJ4~XBDj5NB?A<r0jqurS$h3$Q)c%orlgEp+xmQI7woje&6-W_LNozp2d_TH1XQ$
zcQ3=LqO5rr(Ol-0c6G!H@7C0b&#r(P_!~A}`aa_Vyh&i|A)l=5I=|TbwHmP5$@Rwp
z2hbr09(Y{zS^6=|KMgHGJ~P$j>|@g>;yyS{$Ta8C>8=>v(y0HD`{oW;02X&qRMI|O
zSr)N9Uj?Qe$71vhPPloCfa-BC*c?~T+sBcfU`DuygB1s5>5U#wCHvqno}oh;IDjVp
z0v&UePvgIXTdbA!S!xVT>57r94%ec97!B#l=oN6?vXUS)6Am{aw(-vde7@|8F8TwX
zggt&8S2H}cg*sE*_l%~Ql_C-*>3J!{Fp@Tbx<;3*7J>t~+HjQ~^5=Ute6f2!FAvV@
zN>6~_Qg%N2@b@k!#TaeJ&ygQ96V75_4Xb7pxe2=RM{F-cW-Lpo(xYWnG3{!09uEY_
zR?<p#SnFRa5(ubvUW8msIfXDXmfis95zvMs_6-nZ2awY+6QwCWGMFlw3}i=!L@GV2
zdlI|Tc#M+Kfgf0T`+n4#Ng-}VifK^e7nHmX`(!VwCK_Z^U2CavK75YEiA_=P!|2(4
zZ$2GOYSYqZwKEbz4+n{(Z?Ep)trVx;>B`^tl%4GdL(f!(eHaqJpDe|w_5z>ZTbdug
z3g_J}rAXu&-{+%>-Q%N4W}ag>+7{`IrDX|#@S@SL5G>6xeq8Zra+>|&GgRdQd8H?q
z<o!vX>=4)_5V<|2T|o)2XU>=?DBgG%QoEy|*uy+Baabx9zJUx?7+Zkq9j!u}7ITRg
z)1(JZb3kI8)|Fjj)Dl{2S`YsRks>hPfUeyqa^;y-mb93a#E%Qvds_-t9J~*M(Mry-
zH~H40E8NhVU-}ftJn6WER<Z>sKn7K((%N`x7q)NI)2;s4Y|{87GVA5|YY?{7UaT9X
zvXXa_xgv)PWYiG7hHpb(^^KF@hhA^6skvy8l@{O^jP%s{NI86@*r%AINjlYaU`RD>
zuae`*0Ze9o?kBeLba;`a8U%ug<~vRqLzUC}de9wneqN<|Mn+03T1Gz_9{-sIET*W*
zL0|%p3+a){R{q|PM@X8Fa}y{H_B*}q3xUe+z3cD&7;HDtL(?Arj4-CTl}yyJ8LrM>
zHH7(M-nr(wjGTrpw%_8gv;dm}RpjQ`rz7T({M}|bp32#e3P*a1@9z!lBHNc#Skg_I
z4oe+xZu@YI98(-Fr+0wFlt<@AqldSpYUNE4IK6u8YB04w7|v>q=QY5TU<dquaH7hR
z2nNqi{p}koH0G=@lM)^M^S!?A+Ze;|Z>6$&AZkS=eho6q546DGq_E-!&SNBXtxf#j
zx@8-LKxi;#@9~cl95AWS$l>L}ROF}hFn|#G4|>IQ>S&k*|GVMzorn1<(zQ<lJxUB~
zuDOCq=F38*ID@{_q*34H+^97QC*RJxfm(2-TK1&E)V_`mI1U4*(f{f$t3NDDL4(;w
zETI&t%XY`UMKoO5v<G7<QI7%hl^VXN7FC1Kn5B+M%l9?eM%eUumjY5^H)H0<*>t)N
z*c8mmvoMu(UOb95PVxg77O^AWg2EGil=Q@I>n^pdIbuSf7EOk_t)H9OuSCByqF%--
z#-9)kARgT40^d2$(0TbGH(Cu;wFP~~o#VO^q%d}qOl#p0)%ei>LA*-xusyfIjS{fX
z{$f?&qIaoOb4iuGz+P@QX)zmiF|qknv?xf5=)RfuON$2c-QDeXJY*J&k~;z5`E;U}
z%k`!uZlhw8du;rwu0&=NfyJc0^MYZU?#9co&4ETCP0{mLe<2qp&_Sg_Ok9q(n3+&&
z@CcWFUo$MX)DGmlmXaVCDF^p)IpdixhWWS6k4<hD6M3c?Mg__RitJY>$#by=Ork36
zTKS7mIXy(T_JiK&8FATazm&R^LOwBLov{xg)ZGV@hVFEg47Q=}@VodS3v;afO);)t
z%Fg9fYf%%GHgm1cFQ-Du@7OzR4%7>ciwNjj_{49$mbT@-!}0NIT-YaOp5b9m^Bhn!
zH(s~XT6{#MTeDeh=IQv6x5YuJe@|&Ij5CiGFA~?aT1yDsKEpA=u=Oa1|D9%4MyQ0~
z0=G&Z%7PxDbSxEY#;V4hm&P{->Y%`!_cX^uYUf5sGI^yIHa|RO=?L^thl1nSvEZSl
zL8=XH3WuP$uDVnvzlOSgL!S0$<_^W|(W1LYL>wx*PJQpo7Y)T2lyW}ySR<vgrD<!(
zzTy^PQE?!}_|KC!T~-OOYMP9WOTWGr$D|d+4}QFo3jgYehu&ts;btW;8jh+vy2Un-
zSMpxxhu`zezFgQP#oD;Nn;r@hZ8U`rVM3hdP2_octkUlW4S*9}F$0XFs?b?EC`B$$
zlVj`2vyYIUAC`O$o4$T8DT};&NBFyrm3cmCf#E~a^D!N<T{9sY8D0MKPk)Ef@@FVh
zu4)U>W_6|0x~9{&MSh$1&cF5R{NSQwELQIPvU6khd+PFCG>5#04EnYOa8e?HD^%CH
z0wSZrC^}4i)ar0W=eKw%4oK@f)+TgDm#_RfH@dx?3h#@lNbse<Zii)3IZ!cHy)bC3
zEz_jV4{2I&o!sq?4_$yGD?y6F?8TKq)16P^H?d`vgzr)r=7P~)i>WLr5MD2s7QA*#
z68*4HD2u%<{18JHT8I6*6tORb`|LY#LM9&&m7p49#a~hPeTV>%?~o7!nd21woBYEC
zwAdv8iNfX6NMD!cgPUm2A!wdbr2A=U@RhzGWZ_XzC3-y7*I6ND1vq?m?V!q3e$8C}
zsmix^W|@?lyRkC~5%%`L=kkxHn>Ztz=3s0)1tTDX+JPef=m@^Kg%2$&FR`}6v7WVz
zerdfHEnr?^HU1TS%L7hMe9><H-ak!@8p5^(>+o$LqauVeVS|KAJG$8wtLJ+2bqzhd
zhWujmtLJM0-pq()L<-sJ$c<5wd<xxyae*JNzEr3j)3^3#U0)x@R9MP0OD9h7|FUlk
z&DpT_X-@Nfh1;UEHOGSkJ{zd~G9ELrXGMP145$zdImrtU-vU8lS+X5q*aGi&lsXJH
z|6qi`=MlCI75d&CwH{&&{-c<<TFD_5Hs}YlXk_H?KuAxfw@~{gY&bzr3og$ewk_#P
z$)RSlp!I`iFyzbQHLqwE{5u{#zyzcLTCyZoZcXgi)zPQT7_rztEUNVudq(M7?Zi7h
zI1i^#Pv`_9DscYNxAu~`TG)O1+vog*$5`ECY|4Z&J*Ms9wHrmxJ9YUvX^DJAWl3pz
z@@elr=4h5t(uI}IpRFb-n4|-|54u?Y4eEe0v+0l?28}{)hBdVS2o0T{PnI+He>}?5
z$MP&i$g1iyd1^$sD}HrH!|aw%47%S=NY5MdhVKyGr?b?au|&Lr1E)^4D>#(fbSm$4
zEmi_nQ#4mcLN#)3;1QZv6NcZD-rLRhoHOXFY}Kux@$~+rU}EH2OqoG%Wn5A!z^-vH
z=iVX3Pxh+@>EjOTFluV4p=lLv{hTN%qAQ-Bn;<zeWms(X(U28dvVi@>82!%BbQ88(
zk$jiU(fj13#Ts-}?wiVy$6NKK^C41@tvi==TFG7(&m1kW2NXPXg;aIcGAj)IvODYt
zr@fa8NS{|ds&7cN@Z<9m22p3C-3&SWyzrvm9n+296a+v#3*6;9C^o=y1j=<N?Ox@l
ziW}ft8;E{SjnYK!f!0r?*sq59y&tjW*Ls3A;#)l&t|@8WDRT24aW&PExOo9ljVJvb
zhQ8Zca3Hq`>3O{UGn_fr2wG_2>$hJ34hKZH-q)MltyqCf6|<7E&@T2<BypY|L1u9<
zU=rCZaz|gH>h}WhI%nX*7v+bJQ#;?T5n(va_t5E76}1n6IlaDGx$R)dCI9dG8^z$u
zZtD6X9K7+H;rm)2*~%8xv}j%0X}bUwsP?ih{c&aN<C^hRT|NHf7`oy!2AOXZr+;MG
z6^mcg7;KItD8kt#b*2LakJW+DpAhQM=<Q3+#Pf~y>5b<`Lj+JD6h^0>(Fj-BXO^X)
z0*Ov8pjn2CB{P9&q#MXRs2HeOZ*F{0wOFZMoej<n9-dkO<d|5e?_*6yhv$;HE_$f#
zv9@<o>_Yt-jj6uCob|$M8zfSZdFf%sfavwV^LVRE1#N8J?mL=KFZLS|TAT;r-K+8a
zMDkvqwCL><oO8fHkew5(5!2?<i?)B7Prb(@qJ|hlUA)=c(9OpB<$l5-e*BoDe~L3U
zgwX$<bfVMUk~!?`3TM$-GB)&TY9BCLAd)S7{p7i$yfy_}QEfy%FHY$ufDzP+w8$1I
zMDlZ*Y1zC$O*swc@AwwNMQ@aKEbS(@j|a9HY8FNDXKPPBe|75=lw9%YvG^BE3=$6t
zlKV10AzD5RzH5H_<o3SSP}k_1rsB9m(}qk@chw^^UWVqA$3-k1!+b*TtW#yDyESS&
z!En$)dT_aCKQ*Li+Q*r^q`2kQgjew=g?S&@9!Kx+2@YHD#nkt+toMh}9a#e;o(&Kr
zf7rPLqZI+NUlF-LgIPz`Hq>K){=59WU-!vPHC&J)Y0cYa-8lq48GV>M{MHTe6_<l`
zfpT>fCvN=uIHOmA-<640+RMlf&wKKHR8Y5Xc@h*rJn^^37#?n^U}{BIQA9nT^sM}C
zVj=kF)ssGan_YbNzU`T`dC5}vKMI(j$}@<LeL`p=Yun7KM5aYW;|oSD*)3q`j%p|Y
z4qy#?wqa`C;hj6y&yhOUa-?zcii^KSg0WdJYw;z?*vCvC^T~G0#FxB%qU_mEQO2*3
zc%NI)KRq6YviY{nG^b}2+XGMh-{YqefYkRjWU#_3p>pAEnKA2D6khXJoE>H5f5w({
zDocHw1<po0Y_~(&aomU(eFk8ED(W<igME&qta=tC4hbfYw6yI)G;&(dRiEaF8Lf)i
zQIPxt_78P~jLcUVb(JE53%f~`{hh3pG)A{o#_tK#>OZo1+h2<+WwuK!c>BcR>1^1e
z0%dkRe{)?-m#R(hJ`In-$eaCuu;?ZbUj<I0oa_=R(;-JhM9c4v^T^S`2w~=Wl6#c0
zw9=jLkV{ZP*sYr0?zQQ0CZ#I+0*z*Evw{|JL_*YJS*esL8cMS4^MC@$$sP;v?HfhN
zL(0x`*;grmb43yZgb*xEM#=_AL4L!q1lKwdyTr(mTCj@+1Be)2-HAJ<Js6dZ@&KHt
zkT#SKE6pIcI7wlW3nG4f>QWm01#yl6GTHj0{spk(F60lco-%!VG|ah@AZ(E4$;Upb
zXqCfCDqeIQ6n<vs=ZXqyAMpm<EiuA3x-_x0D^i$!xPbfoerjAM7}nmpUZN8|n)&fB
zrLzEoYZFp1_A{UR2oq(yWpmd#mK@;o>zaA3e&T7?Tg)pyqqr;Ez!}am1fFu<@t7TX
zEWKZKE#t7+$M~XmtGSjVrH=m^=X<c--V%>qjgN^J+PBnsM+=iaDkkwh%#wEZ!*3kZ
z(*MH!>=YPe2=JIza$R}-mrRrrw+xo@Qf%)V=z&;n+3`stZss=O6ICn)sf<<qoF(+(
zNSkmF+0WBFQ-WYOtui|NeT`9Q?0bBQrOro=XC_KJp)m67Sz@g2469$Uk6(?H>TJlK
z0lg@AH)FrANB6KRAt<$;9jB-?x169!wU?{?eQm|NRIGZjo*=y*bdzMC$S}ChGOB$8
z+lFzWr&l8lualg!*AdHMeP2=W$5sxCAlvUV(S=cs){8GB@728^vt3Vi6fE@yv9gfk
zh(SQ#i?~xOdF{`lma9#Xgz)`<814SKp_S%aE$xoN0)+%u{m@bw=Pbc3w+HI3r3vE|
zo;>HL%v4PxYn~m&^xVK`v=1&%^j<w*XSVAhxcq)9HZ;1(gYu!B-&-_PjF|ZQvxZ;c
z-CL!}P)~Kvm29UD*(T?zKU^q?2L6YEjoYBb<UMuAyS<L!w9<(mZk`{c$*Sgm(&gA!
zW~q+`13WD11{^^ETqQ6rZfRgH@u%D)y*=#M+q0*ByOM74uzrEtY%%JH(#H2QcNj_B
zb*^BNH~=l9I-b6hHhlh|Y&Mc?&qHcrwJZ(5XVG!R-iIeSbyf-5bgA!CgUI*S@wBJ2
zCqT++Da`a2PhA@Oc)6#xupZBFlo4v^*eA-XSz-TNvE;P6QACT2S2OWu_=aakgpd9=
zKB(V&cZZYEdn$WAQ(Ku#4|uDhTAN^kN=+NrlA~MUYoG<9^VQ+Y@-JURgpR0xxWAs8
z!<R>Q&oa02-~akk!CY_|M$z~(7hQ{b|2f=UU3Tj-X9A69R5LZ|-vB=zeES|+Ce^N0
z$<3|{QJ_StWwc*>Zai296N1jY^JK6zM(c9S?JFk6Nbej4QJ&XszC=$LV7T3CEn8rC
zx4FU9<gH*}+JHZq3xCnIpES91Hi{DaIJrMru%n{OMGWMI5NGbF+fW#3>08ua5zc}t
zxmP7=!S?s}-(+Q~B-gz{wKzpe^xllC?#JhXNvMpvkDHG`PrKFuCB*D!P41+7*3+dN
z4V~_lvCwgI^YQ)3-N_x^pnT6XY;%dr8FaHmU`~8jOAfSv?r*HF#qKH-4EX*hM2Dx|
zXK}SwpACH8og!J(E3_=rG~2t&aKl7N(1Sk%9Pi(DCr(L*0M}T+2(Lz<Vf#<_0&7M&
z+LKh?cmBx{n~kN&<M9KrrGV8keDwJg5SU7#Y;aEY{tghEF<u%zTgy@}BpZ8PZPryE
z3%{pFi<i1dVtaVmzVqtsX3GUgkbH1B9ru>2HdA?|C-Z<qMsvz^1y3B4k>9?v=a{Jj
z`VvkuxIH?&pdP)0sx~4~`aJ!oeYt{m7MUnG2vG3)S4LC?6x~0gP1K}cEpAkWe#jLC
z`v5w_c}b5XNdsjPkO$>N8%jX3Am{v~dpg<=(&*3%1Xc$pkTXgEYP9n73!EW(nv>!n
zR2j?!Dk@HO=mBgVf2+=<iMX@3J-WQv?8BIbz0y2!&mNt<0Dp~YqZbd`P)^XbtXupE
z(vU?{kT6Ny0Toz2Vc0k2@rq{xJLp+Zot=6+(|uR0&eUOQ1I53d@pjd#HqR2j8;uiN
z9gz4|BW$#JL<tfbDr6Qyw}@?I9>l_0?59m1;D{G4ja3t41l6%n20O<jEErBkiWrIH
zCIyg|gI5aty~=&%2U3j|(WI>8W`L*1^pjSJdc^Q_eUM$k4+Es}DnR!JAn`9M^yT@<
zC&4Zrf&PfrR>+>ZjA`vbv(}mCabDQd$NK22g1G&5$)%pFMOx2G1EP(HO+D!c!(V#)
zg3<%f@KUt0lJMS9;al}lxqd5U$ob%Xe}pN3nBt3moeo5gY_0`XKT(dQ^>-QUrapS|
zys26Xx9f~B<p#?rx9wb|f|>g~APa+nI>i~~a5v8A%nhxwP?otzEvcKw=za}A(^f<k
zt!f`=Q+yns@FCwrOhHPY+!_qS1<%=@=UR}FrlVYStoy8b&IJqG5j0?=Hf|=;48eN1
z+qnB_HCO-d5egzxey;x8urJFe7)(K6Vq1h$U)GJ1laf>1<m3X1X^#2w!H~O31v{9t
ziFAUEFiK;konxSyl2^Y4z;%|@$Eyd}0f@l5aena|ZsgYI3|+;rmgOK{h37+8^+nny
z=0MY%Eq-H95-|VDAM|q*dfr|(VabvS4%r=r2^%$1BFxYLwpi1-g^MTAr53R*GHdHx
zRD9hWq&Rw4r-NlHTa{D)(*G;vz%ur)hkDL!eyL20$jQ|&?KvTdnkjuBI}`l@wj72&
zn5@-V?LkW5`M4Yq!i#eKtKR5C+z7BTs%GOWuh7IWD}19o*MSK$_rO&SUtqw|**utY
zY<eY%j!nSdO`b~IWXd-|w_-mYNhvbc?o0~E>4T%iC-#|;EsFRMC~jW$%}~$zzeBih
zH%WrYdbkxvX+1Hwq?p;C<<&Q};N-x<_;M>!py&r^T-1&*hTa|?8)4&C8<i`zQHD{^
zk`dAO=}hPGsdu<lgF`-X`uNN)@)=*ZY^^9@dx32T!W%Md*k?}Rr7mP8UML|HHrAy*
zP??_`*}x(0@XBIJNp6Iymi#~J_RMu7!@<(`%Z+yEd=A>FEf5hvETb8s#nkF^@W5UC
ztT>#6Le@4r3#7BDE3(8J?2DzxJJ=2f+Tufv#^gMdhcoYNdp3>nT2@g1voLr=(#<{x
zQg3j89<biqipwAQ6%8G8EToei`yeFmsuMstXff6J<GEt?_-wDje!vcRD>ZJ!$i3>)
zXq>CHIPBzJmf)kaVU0WbZ6J<?-Xpe;zkRB}m5pjvzPo2l{$Pv$Nh~CNhx)sLHB*V%
zT?Fx;9T*Z9M<z((Ia;LlKr1kC;Y|<~<gx8Zu?9XWlT%1dH1m12<5Qfce^F*~dlPAZ
zr~`u5!bHt?34e!S!-h294YR(_$QEZd%txdF-a$KMOGQ>DtXMM#;0{0sh#(5X;{K$j
z(RW;vMWs4${gvEvA`3xa*hOy?IgBEA6KFd{ZyHoPEkKdeym37gM(Ca$<8J~MmNh^Z
zyWh+0Z+I5-vRZmoR~wTV(w*j@Y)HV-t@!W&H=8w1R@jGx7ZI(QAGBHFHXPJkvO!PD
zDqA9=-RRUb<o-|B>w+G-Mr*X>`+q|oYi;YoYx+g(0<9jS0R06G$tm(xW^6Ag4BFI;
z!Oe?6Su&THB6_|tgBdUXIl+T}FPrEWU5y6QsB%QAh61zATj{mmW=F*nTIp=_0!CI%
zQ?x06epu!w{rGuSrRrB4qh6^TjIvvC1vTf%3McaSQ=cl`DJqG{)I;`Gzv?5StXu-+
zAv_1OI+9;>31QzbShmOed%@;0_I!Q(_;>asldPVON9i{YSz5Z@KM-50?TNAUc~<tr
z?YM^{7pnF`7Opi>)K=5jb84oRj~H3w9^OHu*X5=9726@fusn=ZgF#Q<|EIO@j;FeR
z|34}X$`*1EN`;6*=CMa+8Byfs$ljEZ(I9)JLKzul(?Qvz+c-pIBwN|pdyn7srtZ5w
zpYQMS`~LCs59fHF_j!%$x?b0MKcDb(>R7S2wXDNEZ|~TPGyB$+sifB(q`af(7PI8p
zoY=w8Axb?8$ir(r??;)^yKv7&uf$$&Yo?N%?!fIQKF(Qz5NEcuJbd_YUyt)(P^5@U
z&gY4K*NO8YvlaWvceVjQ#1Qb-rWm0Rk8s^~jD|3Zp5QKBe6mWki-Y*Ihp~vzp*1ig
zY|LFf-RZ5uy50EXcVmaam9b0?pZq!bs`3qW;mWu$n*oYywhi7UbStsV%;i_>o7n1Y
zlcmBZqttfLnfL!}3f;Ul8hek6h?rQ4v8jo)|1&QyFG6H`7!!wV&SdpCH1fXvd*DE+
zjk(Spxgm64kv$NX@{5!WlE+cX%YO*75PQPrn^(!({bQ50GH1SoMOO20C(InFd_w~u
zl!UF0kwFz$1*W?nsigy~o0rrFKgu(P>x)1Bj*E+m^7}=63nn+H)|S=4+mxDT)M=kk
zY(&t`MqFaX+s|S2>D9gir>~VBs%Rs^*bIiH7%-xo-SFS7L|9Z0n}y$gukIapwEpA5
z6-yu=MP}V!<_?5SfN4<^7<jZHR+N6F-xC9DMUUflHb;xN&w_m?FMM=VfWnv})wl30
zGa)u>o$RJXtB!$$bXwj)A7zFxwO+D$r)D*^6xXJEhABrwF!p@+PBIgIi6|jBCCjK)
zIi6L!NGYtj+G(cKdqwkbA%G5{DhlidCAZ&*EJOdx;qw0L`tArRJJ3J9k_%x3$|}yB
z++0?%a)1#-I5ybX*+YRG9MJcG-CXs0E)gPpNe?x#T7^GkCG%L=Qd5aoU6(JIrDmMo
z&^D94OO8fAF77@)wanp|;ZGs<UJUPqj_Hdf2q_mFaLAbUSDNZf{kut}eq0uo0a|%U
zpkvHwCbay{j}}5e5UT1c#hIvHJD|!I{^Er{Kz&f=_qkehj6&PTStH4p2nrzJzKnfI
zkC+{OKWx``$CBfAZ*&Pz%3|qH0gQlwTgjc_+T*mjY2!Dr)>J@n1Wab((=!$(T9fr4
z8qUEoBnS30BpiBZ-W~sCgCT}&=C0Gls4`)`UXT4zBUVkO1gHM$;q9DrtpHAt?}AH3
z8lTnymInxK38Ke57*t$cg#dfUuuK)yVfNc2QbWL!Lpoi}&CO?F;|?JL6s{`f2kbfD
zfFjFc<pqG#V5@w|&z?Oi4&Xj>Kt5$q_vEy8nVX<>$((G4Hf|pfDVb{>LWPD?dgw)0
z9YZ)z-%B7|>E>;1hY$CZ+*L6<V86y-(cX4-%&ap;=*5oc^#}sRrh_*UCJ*_Yt7ytc
z#kk74b9}#ByVd9_WbGuS5kYXwhjphE8_ZWvNW0UUs<SfA`|5W2=WZef{R1JIuH<4P
zb#6z4s$h~ub_;h>$2)OL7hD%j0~tk&mikjuQzQAUP9Q{Po0BG(N|>05?wv21@=BX#
za}V)RoPa7b7=j@|A+y-tUMWY~O|F%4`jCEQCi`5#@?^nTWwJ-*mK;kI?ihtm$kYX~
zBVUdg6i*YTr&-_U7F;H6&dE)4RT!BOj88b)+59&Z%2Y5oZKnR4#Sg0GCfJ&WexI9T
zxZa?FOb)r_`gyI7C)QvRPAHzZ?&tFND6C$(l3NYl6*2Cxi#q3_Qp%+XG+=3D*HSM9
zYE135!Ey50bgJxZZ}Avb9k%RvOYr*jYuXEci8p-JwX3E^#tj_OY3IC-9{83L#1u^5
z9wu*W`AE7QD|{)ow_LxOt3oT}D%-*e+M+Yi)Q8uT$=YC<e-=$SacffW?tur6g~b8s
zThnbB#q<5LTp@Hl9u4v-U9HpoXwt8AJ#Knw>|P>kL*WD{=q{^%CGn_hYif_UxFVEU
zYT(An+lDW&_~2Am4=JfJPJKkFq*>YmU)Ioz+xyE?q6iN$N%Jlw-<3Vde7Yv1S78>N
zDb6Bh;~w-3Zy$F1;Qa>A-Y?VryqmPLQ~(G0e*wIb<A`hWK|0(}wk-;0j+7dM_@VA^
zy75aQz7h)y`G;IK%FbsPRwlWuwG=+J75I|&ah)l)^10QQ%|Bx3Z|qpziKHoMsPLP`
zTy{KK!&F&24IJVyaG9o9QJnqo6<yD*C4d+@V4HAn`FG~y@`Qwa(9u;}UvD80^@&E`
zjr^LzkA=0_DoRy^G>Z13@zMGD`5QZ0H*WZcs|X!o5OOqKc>zG0B6C%gsQUrjW!j(8
zkYk2iK_bQf3^U<&TO%76wP1|=61R?2JCP>NztRYGAK!1(Zb)#MeEi%8T^2E#SoiK0
z^IHCTrAEqBhQw4>iZpu8?3#D}X=J=SJmjR9%?rk#UU*w%6&?gwFbU``YtPaPn4h<A
zh!Lg{1>tuG)3Shcxi`ENAZ<-nwQ=7x!EDeSJW6|?VE@5a00)|qn)(3%rw}DZ8up!s
z!sNQ#rvX6ntx+9C;0eAozQE1t;+a|C3yKG%%lzKEH+88a_qLZJZF$UNkSvRZZAg%-
zREOD~o`YRO#&d{FRExmWJy`yZzDRvizVC<T5F@eU-7cLmY+AyNkC(m_Xk8T*UZyjN
zesKMk3t^MU!cm0T?D_NKR8&;o`tHqC57mWx_hA8;u%pafnBTJFJ~S|&I(<6+diJed
zcBEEi0dFPii^dJK2<;pIL#~1;Z|>;u1ums%_vKFH0TCYSp38t%ij0)!tt7X`NclAH
zP|X8s9?W+SIcwv)-sV#-#GiZI^JeGd7PVh5J8RwR+qastv9;(*yzgQdO1u4AZDakk
zG}=Un_Y3nW6tIRJXacVDhEdV=u|#K}IG19K6L!i<YoZr*y(AmLm^sded>Iv!)|mI`
z8~Q^W`y{5FmMczP7Af`~E1UGVmUmkJE+)^B&hiIuhv4O$g`DtWQ=(n&<yr>q_)%*u
z!iPOGL*%;gZ{D&Wel9wcD<o}GJk9H-nq$M=65Ly^uv^20Dy}Pwz(?z9@z1?RDQXt=
z<DsfvbXKyb&?MWjIl_0OHSb7ujGmC0TF$xm_V&s!&2ZIpzjfzbEr8WU#+Q}cbM_2F
zM}`>%Aqy|*BRiaJ!PLso9IE!yeeOb%2ltN<(;5gS;1u6dizpUSs8knk8fyf(25X%p
zkCWRhHvK%3Hw};Ctwiru{Xm>mdd_Z~km3mNjrQ#|Iue?`u9*E-{g}J(st^0=Xn&`*
zPbu@CZio^ydOB2<A1YBuDV%jV&@%71p(Jd3BZd9q&uB}U3+rS3$%r#q%QLFfhU5EF
z#=xxkpyT4~o->P$$EFx_2gStafh-A`fzf_mP0p~3Z*S(hHDsvWv0tKDvDyO1B+S<N
zdhvp)ZG>ZP$FNB4m4({9^a}Zwd^`Q2WGznetM@Y0-UY{;IZG+z<PvVEB`HghPM=RF
z-SlYJ!C;ef3;sgMdyZ1N@Eya&-O3`%dRPX*{cw)wlQmq=E*t4*4CKld40=j_VZ5oN
z#b!S}kIp>&!~FcmaTEm^hV-uMJ=sM&Zsqk4T)M*V?H``i`RU}FKO#WM{Ozx?VPL9c
z-m$jIWYL-U$$#n;559DW^zQSY6O%qAo=0)!M}_ev>?Irf^EIC%YlW;C7D5w#Zk=>e
zBAChHbz8;9MA9VKS0PEIGx;xltKy>l#Ban-cdNDYxX5(6uMKKqM#S=lVjqj&U_{;1
zq$_ssjsh}n#Q2bhHTIybar>HeS_DKHm+eaP;{&ntX-ATcbhp1X@!Jo?EGma|zt^iT
zn~L`O`4RFTkEwl^$!yNvuHt`cr6l|A`_sPqY!ex~f;)5Q%+Gg5EQIqdI+sP0e@!F!
zq!i6xEabeC>33s~bt!3itIKLo`D7^4e5-vo5$5<;E_1iu<1G<%Q?q{x<<hLK0pOz}
z8!P=}&{-3QBYukpmuISmG)YZzBTe84AB|YQP#NQ2N*4@`E7&Yfp61A9_uryho8?<>
z-CUPn6k{WfIaI13sTqSy!?<K!AlZu_S?cUc(mFZ_R}XMJVhsB%QGZX!s+^|l`qrnh
zJ&|&_z|tCWK&2<yC~1X9XGp~NIh*4R50@T^*Yu6lT7a;Q49RFeI{Txmtm-5gclz#a
zzHBH^>DE;=e(>eQP|&_p)uFRw)0nbTwq>_x45ZcoP4POgX~g(TuJ=8?f=;Ya4T#{B
z2)Q+&$3%h^{{Rn#YxxXE?G)8(8n|)d9)2{%N<5kSDXip2=1qnY=@RLzJ5fG77j7lZ
zVR{!!Kay?ZH@01a^W~}b5|nV-QPWyiH)VuAucXZzg#cw#dy!|U?WiDGDof-um*s?R
z=YY*QZ$p5xLFOTyL{WKu%Dn03{gLU!wXLYkqNAPM_-TG!_d0rULtYU%j&D|J$6SI(
zJIIYPcHG-ST5d$q=<3v6=ofJf%&(o2!Tl6v7M519k~}GIB`Xc$tt;h~WECSmh)2ve
zDTo;LM7n->_RLjF!*${#>s=;+@Uc_;yeeL|t3tTHzxRu&Y|!qe@e?I*<h8I%0%k5G
z-0`&x2@eg`tEJ_tyONEgl3@#h?lT2Tqu9e7$D6lAdWs1Du^C;Zaf~05!bXYWw>WtS
z`z*vBa`(nETa^4<xUea^XxRy#!^bJD^_TVz{;OxUO*eY|v|8)_9{;9kG*7GZJke@)
zys6eF8yBabn4B$-AM#2Q<&n}1DW{9+D~#{Ox@uORaLFR;YPt~|M;r0%m)5u!x<|{V
zONp1-OlRI=V)dR(*SpX9HH&6_x()7rvZsuhLRRNP*2dGoMG>|M!ODW}CTgu;`Y?pz
z)p#`S;=o<G9;vWctbSAZ46*P5%ndf>Yn0FB7&z2?Rw5)a*!7y4i6|o;8~s|DTINZz
z#gy-POU#94QI`~ywX@E7<z1!a)_6Uk%xmW-54_Y!$PGX8zP;=V4SzXmTSr{Dm2ySk
zV?pwe+duzBv&EaMZXBYRAe&`7qUu5E7sI~L(`Zde8@BK>#RK{7NZar-XWIl}%TL}-
ztf9|o<{=7WFW}|AJUP$LXtpwAJ5%p}1>0%2kJVo6muyROeV-G6i+!GRJ-Xw9$ux+F
zqJEZhAl8`6r-72TI;}P+$?8sapk_1+Z2P&xj<z;$8-MP)ukR(lGn2d)8B#h$q4hav
zEp>J~%Cu##%#NU>DTmt`15}-5ooAN3%3o8GU9c%MLK+c~pIXApV$l~5Yu>ziSclCi
z?6zP=lHBPmP0eVWbaxpe>3tPC@!K(l#HY!BjgbUD_dS~R#=B>xx1&Z)2`T1WhMN95
zX+<CAp$nj#zK)elj(NY#>yRyP2&vq7^-bl7cdl9uIyrRm^{PX7!i#mh%WuL~AE_Xu
z_q$e<yih(vL4sDk`%!HOv9Wz+WW=V#8L@v>-1n?Cdf`dJ975B)_d|twEo^y-z~+g9
zqEt@qy|1P@OnXURxSgPQ-t=1tf)dh-2x1ed5$m+>{)V`QAg{P<;dn(vFZYmLda-Q%
z<<@%{3MQbbO1dXTf0`%o2FSh_Rl16x>@R*(%#xCn8PdVM^N4N56CA~>Ts*arvl0Kg
z{;zZzR_P>nyhEO(>HMkEM^^C)CfW+<-7@U%_>!W!YY3hiJT|h?69li0cD~P;sCdSa
zAXvA!Z!z?`X-gDsxX@L{UlT+J>lynkVwaBAu`s9f7M}08`_nans_tkzS1y(RgS;(2
zuUACYid&$+Z=9%|h<<GdSH(w`eYEn$3VZI?rTo{8=3H)!5AsTUJxw<J0)HJkS826W
z#0-Z_x|u`Yw^nhxwpu(k2LB1~A*V%@G^`-l9K!IAMItgB9%AKHax*+FkX=q`VtUu%
zmD1Edvc3CXEmb!|KKO5|vFY=3YVGNNKmBLhVFil9PpchIzo0Bz@$zU$`MG(A%RiKK
z|JiKvBLhbVmszz8y1d5Ec@8FBJornqA#El9n674jUs6hM4&6iZN(Ga^*MeR>IP9V0
zoZ9!Ty5GkGU@QC-00lLV%e+zi*Yc(Io6g@J9Aeqt0s!TzNFJ=?j_z*s!orf^tSwsU
z3>uhg7-9*T^+LNr*@hQ<#C3Ibk-WEwT3TA(-krJuj}sq4*r?&RcmD*S&C3`V7}O4~
zt;Gk)G&TKXEN2<DZRKpp=-Akq>U9r&Htd3#ov4`4Ddw~}$a9#}uY5isDEKV>C4b4*
zbCOCZzbFl5$wwrzmMvyNVLu|xl7(6hjOBeka?MitQVfBiwo)P`mBz!9rgNudKD0F&
zO0%ZiFMjJwJi6lJeNfMiS!7g9WOQLIz`e0_w6HODs|Y_)7`HK^;n<^G`~Lm=0+@25
z+Sw{#1|DQRR`t@l=p4Y=o>&<96o6R^$C%~&b;LG#Ea&pv{`mAs91Utd<%yWveiT|u
zrTD`BDdB0hAxc#da_;g?djNJFPN55gKn%D60uho0LwJCi$6=%){Dx`T!oG^szkO^_
zmtC$|i(UIc9~WIa!5yI&>G{=97oD}Z66=QC3m%$fWf^#)$hB61^$8J$n3ln#3}Cy(
z?#}cvSXo)|*nX=h7)uC90F2=%WHfKk7`OcusqDietix~T6t2AX*wX1yuuq`zSy=9~
zNSiMXE<V!P)<#86zO=N&<P6U^d0bV8R)P0c6SE7wKn5V^-dlQa1)(q>cua3yyIA5w
zO@!Y%pBz}3eZDE1{A1M7YmMx~E7wSvMFod6v?g7Q(UUHd#;RK7U1t`0k_}06H#?cO
z1s%=%7-RZ6C`uWlx5I>$XNs0rr%wsS22@tBlr}yscRF(uHyVYT=;FI-x;6X899LvR
zHPI-Nnw_e?u$<Va(@~r#CG1a=zG3`4T%E^<!A>N5wBThZJV!%5*Jt&4>IabLUJ?-S
z99lSvzI?&Dbg3P|Iv)tU*yxKqgbQrN*uD}M9zZ@%$;t|bN1~^b;#Rg)gfq8B>%*@&
z2dOn0g+2ka@^}Mx*RRrU895%@!(=VtQu5qi1x5OrB#J#L=LUJmt?<@VvL#<RC%dh7
z=G;Bz3nzEnES=4ozJ{&5cZl%i-nyJ1x5Mf~#Fs47-}i`@8$P{x_)MPgavd;JkR3aA
zOs;IYuk@bMi%aJk0lB4MJT2W2C;{e%xjhBb(sItveG+(?sNJwgRYyfMvt>WJ#wRHl
zE^#GuVcLD}1EI2*>DOs@ySEc_`US$&b<9a;d_r%X9-4K=9J<pt_j0WD!NH-8a_)3j
z_758-XUg<(>q9-peeo;H-->bRnOr1yMJING-^o<bcb3w)eER<V>lbo-@AnB<I_WB(
zMj=ZxGe3Y@W|(PZoIB(>dkA@gzY5sc2VO_q@;9h_eA~6pkjH*$BtMzr7VFcCbV+E<
zu9+mXq^temAH(N;%8Q?4NA-4kzt0Fa$4O{mibYD#Fuj588&iKwfA-C4=jeGK{2*)^
zf=}-23+APoY5O}9<5EXsj4&3`uXX^3ynRcCp)c|cJX@ADN{B+CKI+Tyd(<Uz@;9F&
zq(4hxw@<nDYNBj)j8h*S#Q#B%6^74uy|V}j6ub&%C2(gwd&l3`7xDv7CrjY-6{+#8
z%9$&|Uz`lYni=xrbsdHJY!C%O_}=H3cIKGo{wC%|3-<N&powX?0=e{xsvzMUjPA!_
z<w_P?6qyQw)@>8#oESu$FF;I>C`N#)=X$FhKpe!)x)8i-L67$d_{S78I5ebgf2T)%
zb1vD!FJQlZA+5<uXA&8H>43lZlI&x%U6WTvTAF{ib@BN(s&R~8bsdzIqA&B9TUcNL
zTpZ`VvAo*oR7Sb~5Qzw{2goYUZEe0_Fj&~|<I{6;!TONy<AJ;xEx)Dq;!HmVFaRil
zAtmt5n>Ux?S;PSV`QIsRBt|_OQR|JGYv;32sk`ZjLgm=LZQ2QV?-9qo=0d8E-cHd8
z;3831P%)iA6b4_uvr&%6Y_(#l_mcvA5tt9hvCpf^`Q;3hY)WIF9X31Twseq3xNz3J
zMIE^&s*XQeP9G#?L<{seW0e4^u2<PurN)KeWE07knAEz%C|imc`P|Rd2CJ_q%_U`}
zqXFR>=R7wMf)=>9JQ)d^cqrI&RJgxx5!oBm)Q`_f)hc?1P1FH{-^?miQ*_1#Y)=@+
zKhLJLmfQyyMEf^rG;q&Yt+jX^fS2sSQU0&h$2<M{y62OQ96>I))?<IqoJTn9u(CY7
z{6?kjr<|!?I%j^D<wYpGQE@K0<;9I>9nPoqFEJCq8!80P+Tn%JYc6<!Le&cFehzg~
zefM&d_?wK~`&OKb2f;n{av@2`Cf0O!ENaU_d^RCv7)DC(M>B3?k%ptzyX$N&b>WN4
zLd{eMa=)jgDjWSm#;g}u5^QH<u#MUx&l+C}{JQtv5bi7KP*T9P_x%kMqgq;bXZFgl
z!<6k<K6XF6uf}6}Df}_pDdc{k=k~_;u`hnwJ+Y&(n+H!N>=Yo?yD>6Q;)4C>pG6l3
zGcDSmT1rJV7H@CVmahcrQ^k;!Z1o8iEe9G-{fLSY$lm+*%cs$4!nsDD%3?`-d#3GP
zwnx+MeXaPR&b*PTy}6>I_7?n=p`%eEor;*n-U{#pzx$vJD!vtOAu+$vyf^ZMr}mHN
z`v&h?BIEsc9rwQNq|kdaWt>C)<+f5AKlYELdp8nC-)nuriY;1s7dv$1^X_f#@7!*E
zVOhXHkKCp9>7TRz&%54NGTR-{uVJEiU+?Z3%IM1O%Kk5Ip!u5X<U2{`JA|Ern_csp
zC*q^)P9o+s_NO`H^T98;5>*@GBK6K8LlS@OAk2^a@oPu^KaMHw8cjuAzTIFANr;uH
zY3*Bz6kV{Wd*=Q5(S5^7YMjRdQUksXo!~K)c3iaT&AF{u^F{pj6DfIB<ka=bGa@^C
z##nOXGdNY<TT;1BGkqO!4U)XIgC{AgTt;IeUJ0cf{o}4xO0`6bwX7jk`DII)1walm
zxVg}zsz;)6O3-U@X!q<>Jow;Ri&uu)MU%!r<P;TM=?O2QO40uPKCca(CW-i*XTNon
zxHv#jBVljcu#Pu)4?p#1Ga>{F7jTT8Upn8q_gch0YQ^0lBj4~u;?+}2rEn?WfUsF{
zzIpTJB;aRw%mwIIwP)TOtk>VR_v3i<k@?rAnAM$BQ^`0IB?UwQzJ@qjZ^`c|gFgM^
zlJR758$F|l2@J{7D}Hm9+<tFaett)EBz(rH$4;&ofAhu-L!dhXI+SrJtz}?%Lz#b{
ztbGDp2?!)YBZDsmY=RNP81&-Bi-OJhdc|v$8Ylj^))4!G$Po_lD#%H9!n4u_<JVpp
z{xSI{Y)0NfTZ^q&fLlqezwgiX`%Kthgi@PA?tKpU>}8demH+$Ge9R7};2TUa+Q0(F
z2s_mzhKQZ8DO)pk+nUhlw!5t+xVK9%+4FP<J}Sg(a~@Zx`B2AaSmlcq>r20$z54Nb
z83iPoeN|$V9(!}v?m7%VcZO2A7VQeGIo+bSfJG@e&cij@u7<9;&|#F~I^i>!-#01x
zmr=-JGYaP8=a<D|u_d#A6F0ZCP(YsE7oKm%L(&_82THAf<bU$_X_7Q}H2?tyN%bdz
zessE4ra$afZ?RKItBUaXKHzuiDEIWF3aF+Pu+{~#tp2upwZ3~A2rGH|k+>jk-jZZ%
zOb+A!CH*>HhDMJH>cc@WS|LV{)$a(*5Eh6P=6<Mp3IVVJ17^KB<XQw#;pyLppn?p6
z+wD8?9FziTwpRL?G&Pw@2Fo%t&u5j)e;fnv0jhp165gSnzYF#-C<q$Li2n85<t4os
zUh<hKFaEoe9j4~y>{bS95`QedADa;gluS=APjx#r@MLCYHUsAah30{0a{sZABcH+T
zqXfE(ze<+7ET+V^yZg8K86l*)yfK-ps7t3o@`sQi0to;_0r~wN!f%wKDByu;f0H<O
z{`WThj8J+|>H*b;$ZQBXo8de@e<wBc=AV<Oxg@v*_(d1WcD82ZZr<#^iYNA#be!%H
z+#b)~W-nX+lFgPz!v5&@MKAp9)qsQI#%YLZ;;M<cOUR&V7Sz?%MGN*v*Jbz_5@fUu
zOUQ)&Zh#K`I_36GP?S*``yB$KL~YKR`QdtOwLdiuV3mN#$&XRgwd$=wr6Gt5GW4@l
zM5*;&y5MU6Ys_e@@s067k#Pn}vNhWI)_PP#-iY5`=Dtw_&x2FL0$=4kK9~@|<qu3O
zvb&arxbV~;yWSHVBL$5WzCbpEhd6a08M9?(*_C$=5uA=ZGj&e=G7+xg$sFx+4|fnf
z%zrN(?0*rcexgZJER<(xV}#t_HtBL6N8}s_?;%wbMg5Z+s6Teh5F}x$>m5f;AYJP;
zQ<SeS2s}i4eo!}0uX-ji{KuM|c@Zjj39+3JVe#N6`$~n!Cnglt$uv&>aZf}F^tZ;Z
z4~}AXT!5zNT`%4fYyiH=b9({N@oNJgU)lem-Qj6%gtqg?7)35aZHGZUStSU$mdCs;
z<?>Ws>i{TYU~;T0yH<uadE8oqNkUnf7{7IobK464rAw#MPR#$Q{~eKRKC*$d<kf~e
zMBb9pCHWn*20kIBJF5ma-&@v|iKn3clsQ<q7lIDP#h%jlTf%<dS2&~)w+<DR!*gu!
zFwMt~b^sNg;g>YcIV2gNsHnI&{)Gc!6#)xvsiEmI5l{7psy*208fwe-SV~_V5h$n2
zE?YMT;b09QrvWPh1?A03%%&7VukznQ)ed$5>1m)ToAoxevI@#}pR%yqUK_;+(p?;I
zh}+P0n-7l*gx(Sk7M2tA^jJV{^Go-3`}3GZZh~BLcdCmzfQCER#(m<ZUFYox8EI*E
zcXy<B#}0rUfO>gj@DOHIV&DpM`5(haEQRQD2bRZmajXE0Xt%rD>g;zOFf53i|M!7+
ziP>T7-Pc<IU_==ml;A5sBj``39cB;tU1bHEVOVhZ$;PW)9*Lal&X>!+ReD8(T!Zny
z1ZityB?P)mmZX^aK?_6{KTFyDcpdTlEqe;*AG??Y>KpCGDi<8+!{~Yzv_Bzje5Y>!
z&*Uj`%WbY2Kpiv}r+bC1%hpD`G$qUaIQb|q!r3)Y<=3378i(+)g`hd8h~^qDHdR4w
z7U^Tc8Pz>OcI$6;=KepH=jSOVu^j6<o{FeEv(#g02u#N9U$OlD6-fy{J-&~7j<@(5
z#FH4T2@?K3qgU#>q>yodJ>tJsNF_$dyLgiM{2z;A_$vfx-}OZQbtXT8cIH7`=IcAw
zU+xK_7{E;UAD^s6BR&}%U`SGIAUtl<=sySglrlonehj7_2ri3Wk)whhkp}0VclqV)
z(zhZy@zbfjAAN5$#wnq&P>_UCB(jL=m81?OFCPA;o%os^awg7=7d(@M*RLUC29iXM
z#MF-;Kc*FRbwrH2-D{NX{HGUu98fGLL)<sXc-saXl-zAa;GD6WdiPZpdNC9=n1}kI
zem)o`$LPnARlw3HG?5X4E=MZsnVCT#PtU<^<V4EmoHyTdf^EV=+=-}6GS`um3*d3K
z0d0}t=IR`e`}(4Gp6S&L-9lb)-e|z%33$eF9l<~xn9$#G4P?TI#X1l8wGB&7Lr#zb
z`l{OFamY--?X8A0InGW~O$U^2Fm7ip4hyh^b5|Ar0!TIC?P2}x(?G8IfkN}pGo({z
z&Sq!X#%?6a#AB!f(sPKFfQEtm1J5LGvr`cPR3SYQTD$FR^oKw!odg3t3H!L1uD`{O
z#NEPoCw<eiir9g*iXMPg^pO#3W$Dr(f5UwQklY?}4YUd2A^R0kWLf*HrltltF??!B
z=y*@vx;ORCc|0|lH;af}6(sW#KYz{n{2u!T*&%P5TeOfxn*-N1$Lov4wkSA%ND@UF
zCW4uTc7Tlm=u{A$zoV(C={Bw&=MOk|5joN+XTh+-iX8Xc9`$5g>2XknOrgxk{U?Z0
z1DuQ;(70h?=5`xX`FO7*lmnBwO~De64kC>#yMF_<R+UwL?{UO8n(i&eL)(OU#4+lL
zL8cvN;LXGz60fbe^Hq-qf_h(S4lOq$)|~iwX85x0WMr6A9k@X$6NzB7An$Q5UFSBO
zs@ni14)QbCo*tx5cNlF%(v{Gn<I>jFRuxgU_&O5f>5=#D-D|F6wSpE9cC@Nu7%0!E
z1cD>zIn)7}qG}jrkH<l}j-opjz%iI2g-uUSAB2o?Ljg;Q2+W?xq%j%}ew<;oKm4)-
zUevr|StG~+VWA)5NSfDXSFw`~0;ki9@2WQd5I{rdaM6h%l&;b-iJ?|}&goYjK!bls
zNIZauE)bdGp`AxP;^5FzFt3n2l7Wr!!GCRUFB&JLa|VGOguNM?T@AUBOLCbfM(B>e
zpu>oCvPw(>4#(362t2DBkPAsk6I#crsjI6ahD|vvR2@>abL$h?p5Io#W1%fhY<#ub
zrknvnAx;@H@e(JVZ}87u3D)0P(#N-@sv~V5cF+!)1WUsV9`*@nq}d#xDfhK;8>GK_
z{kl^F4pNp#tIqY}llu|lnx0)Ibcas7WCf$sztOjn0LzW6iZc+!4c_bDxCO+fz+$t#
zfZ4eSeJ0dk;S_bx4b>wK6zDh3b7woT-P;WsUlJfk4QWnrxZn`*MO^L|d=^NS>j=kV
zw<tb~_ApPTTiKh>Z(5r<vCV(`@CezDK$nFPh^3>z<BK<IeN(N!S*>4%%mdsP<XEV|
zi!I|4YmhSs2PYm9=2-TZiI#0m*_=r`KA#SL1Do=Tr$tA<c~TR3LxSh7<3#)U=UjRx
z2Js;w&^L4$S=^4d22yC~7zF)`EmEp|23flr#Bji3@mREHAl5ZQub3Y!5e?$(dTxF7
z45GI#V1_|Zl8P>>Azx`-^y5w2Z7FL|H^!x<@52hHYsjDhmK1N}xzQadVAB`Ip$|Ze
za_xg=;AMi{h9em?XAow*Yut27QEFE_H}XB{X>K_iK&X6%@!lj3j5~<W=BNHmWh7hW
zm;T7D5VEoZ+Z!_>$XUmx674*+S{ueX$h|YqjRi5Z>vvzN=Js5xM<f>sufZ!@^P-k2
z<J8F+sx61s)kfrS1Sa511~THOIjGJ{KEH|hDM*w7UKTBqLL3<x@pZPbid|n{r{y!(
z0H`NHF@QfhlSMUe0@jbmeyDa8<OU3Xigr*?5Dz#Bq`fJb;7ud3G3*|asT%{7Q$G%`
zkKm3!*p1+Ec*X#*i2%~-OLx&2ty8(_cP7?Xe`ozG4|tgf(Iv%o;<csT84m$ukHC9_
z<47%jH&=6V^u1*#MR&eU2xdJIbLF4+QM>u7R|nv@>C!uHP#el@M*N6~W!Kk+5I+eL
zaiL*A$g5rAY=@i@;K?*kM}kQZMNH{eeNT6QuZk#;ti|k|dJy&NLZ0X3eozGDAgTe&
z2PAm>vcYINFrJ_!H00!;K7B$A5Mp(K-csN(DH9{`lg@<cO+M(4+dbBIvjGiW2Wl(8
z3K+t9gQ#7VK-pZ-7$n$>2bX91nJ}v#NDTpGm&bE^Gm_6j%a6l*bI+SY0%pIcP!t^!
zc!ITy^97$SU1~79e0$v)<lb;;{0rUngU_V?&9B5<qd|qr0U~ao1HkiC4$6T;46hpA
zf<@bNoRD}Gl47;u<sMsxP#<Do+<}ye9K7Pq_~ozd4ja~+*S4DaI?}Ys2<0C?SUysQ
zuU%ayK>LFLg|}vPZctI1dFZ#PLR1y{0ED_4a9aloM`Ht^?Uh#0-UvFoPC<r+mBkQ}
z3C&Q*dC70(k6Z`W&;tal6BzANS?KxSW&(j4ouKVE@y%HuOd!OmH5}O`Ez^<6i2|xW
zXraGx!x2K5Dr(8?J(mkfLP=6mygG0T`U@fc^+%-FHzhqi0P)Vik)Zs2spJ)YCgC(R
z$M>PwWh^Wvu3nFU1Ay}SuXq>|R`N2G6ep$V`7M2s5kOfBvHWtP?b-U}i1>0t9td%f
zrT-X21vq<jg;0<~qW-IAsS=8cgbtFRX~9mDlQ%;OA6Trf<h_3{i_;EFRZp(z-|Fp`
ziC2@?<r@n4M{2lsrKWVHj~=sDr)t=ia&_*LjmJf<f^QE=-6A=T2jIXGuHrp6@vC*J
z9u$?2j|D)zi0f)~DCXaN=7G`ghZy;`wDjg;GA0P>251LM$YCLx%))|1&bM#TYY_b-
z^U;o1^iblAr4Ude;ez{+PpPkOT3Q;CTpApX(C3o)C!qsrH^@Z6c7w_R9<-bfeg^QP
zAr<jIi4hRl;vbQU(S|@!As4KdYpjesF<=L8N4(-qLH|2q9NQ`JgB}Yn`>VcO*Jl9A
zNq?k}0;Qc3i0=qNIaHD%`ntr&R}C2vEF3h=aO44{r_Rw6m(JP^hcf+pFGR{~;faL-
z;8+d-d6liYCrrAXRVhsAF>*1^Z^mP#7%@0cz8-ej%c&x{Kw@S2`+=p9^_T<N+8X#Y
z;@q;ZfE**?=ZO<1kZPU0?r%~b`r?0djZy!)=>O|{?|&wYmv#t_8;RORou76_d~O99
L73nO=zaIV{+QG9r

diff --git a/devel/_images/multiple-comparison_multiple-comparison_examples_30_0.png b/devel/_images/multiple-comparison_multiple-comparison_examples_30_0.png
index 20ba9fcb7ec8240757b96dceae7a921464355973..912c45060faa838919c7bd5c4d4968f3f75e6ead 100644
GIT binary patch
literal 29883
zcmc$H1z42p*7n$m9s>gfwgM`xq_o=r2c)}Iy1UcF0u%(KK{|$!?l4i1W<a{6JBE&b
zJq+$X`<(AP=evHcvybQu@4W95>$%r`-)r$$N<xHeH^puY21ACuepLp8*~W~)Y~HkU
zJN!#>K~Mqw!DD?*$y(M-*V^uur4B~?mbJODnYFRO?VoIQEUgU8Oxam@SlF0;(zmuY
zx8h}GHTmTYEM}H^tfwTlG{Hr7nO|47!eI8_LjP@w7m72$V64w!ul_7&A2QnJpeAp#
zS~@vbn4I?LG|R4YI+x}Ab5&nq{kQe`bNMlsRo`ylV2Kg$x$)FX*7pYXY2QonSZ0YA
zI{MFoa&-(1b%PQfA7OFddH0ch?%bS5u~TV_PX2xKF(T2K-|>cX)g1iq{2a|}pHpR{
zc6yWXX1F2rb?-d)>{imZm`>yS{u|%!eNcUn^sRg3KU6l}eE#rdv5nUsUe@15`nE)B
zC-WxKx5suz(rvtc<y6MTRd1gA^`alMS<afYWQh+B4mPLhJY_oa^tP53r(yj$Iy$;s
z&dQo75l*LBW1L#9jK@Ao87Zmfw{PF(u%Ecu=FlJN<qALLxX>GrL^<4`YDVZ-o#ifV
z^gS!7AS^8Gw_-Qi+}ohGaU&div#*pBhZ`9=IptSZS4AZx6wJ-vq@|^Cn6_S|6m(Xi
zr>D=P(Ce=Z6~$s}CVNT=*=Cw#$If4hiHT{>x5F3BckhX-P80E_a-8q-V5HRRdiQ|W
z^82HM2M;m`xK;_w#T(Scj<ug5J*>O%?X)K2tY+IRC8oTEzF?dAiCZocZ+ATL_70#W
zKYG+?exj@F%a@w|aJQ7tpFbOx!l&0TXScpiOJl1D<x>n$vwU1`<LqKoDLXwqjc(<^
z{rmdFA;Q$$oZZQEe1=+)bMEWcuMM4^W?IhZry8!QPoF&FTmSl6d}BLxCv&`f3A<F1
zyIzFCrk*H?O;u7YDw%Uhk5w6&8}XX>Ej#w<e|vMwt3<}<@|7#Z&U^cL@4ib^xYo?9
z^yboz{Z#cC26bwi#ju&Xnds<gXs#T2dhOnh{kFTAsyKtiHCA@SWOw}4XJ}>)Dd^|k
zdcPf;I3sQB)bh#mgwe^f?Ci2<e6d@$@2!>;T8YjyYD`Q{zHwCD`o-eRpzJVaN@#7t
zo7UjNqXY7@%DI*?5+N5)xw*NiTi0A0YRk8~w>@NI`Ly;Z=m&;|GGh%piVDk9{h3u6
z&YioyG&hd7eKs{^xia75y?g)u#sY`wmtkQnNra(`RFsrBMGc2*78Vu+uXKaDGdg;D
zNml)pL*G)h{8qwTW|adRB*F#NT^45&Y?p^#-LMfPRFBN{;^ubP?=d8w*jvxgc^pP^
zK3=wjy*^99NVVMbfj_KEpGy9H8iCKB{{v=Hkxy7!`UL|6gPf95yrQOyytlyYtL^)#
zn4W%oJ=g9ei7%WD`t<C06rGs=xu1TDD6<$zV)EEetuZ)h+Lo7K)=@Onnw$Ra{d=@R
zm^BKN@Wrcn=>2vbE{dVNHi;D``SBH2b75aw#`jMg*|;M#x0BLw?t1Zf6&t6yiH@?O
z#I)D1FVl#4SvQ+3*N9LPid>d5w7(o=R?m}zxl6Hr=Hs*em!E(BSyWUsF{29q{_E^$
zi_yrpRKvEs%rNIEY~fTHV-Tm2Lg?6ARn67%a?edwmvEcI?x<|z-;%le7`4rA`-j49
zkIvH4UiC>-6IYgzdHv?i8^h9zPJX(#Z@(^|{P5u_vvS(imTWUTTgLK8dX@FmcPtsT
zpxWEFZ!<%SXblFcBOUt!^)htIk7QT!1!os8H~zE7;>@q(IdewXhrz{6M?)h_R7{M~
zrK7j$?%lifc{WB^nYvhUb+48diBMko-eY@?vb>aA+0HLNIXNi}ugI&Y49(_lESyS#
zYy}nD@pkoey{ZOyzLy~(Bi6<hL7ZNKoP&g<fFsN*(E?7h18L<fR=inyRa96RZEfwC
z{;}pvu@0BHP+r@S_{vbee0CRX?b~}h`~m{v_OKRIk6Mu;3qSVSgO3JVv?GcFD|8p;
z>(@@4YokcD8*hK&<<-#r@u>~OhI4{~8nuC?AN4AN=!ArX$d0pps1f4kR{Z$!qah*D
zuTHBgyTdgf-3X6WU%Y0qs~5q~!NI|CX*64hE7+#TlUsq;BZ#Xr)mtl5g_4nX)Qegu
z<%{oGF`w=GP7YM!wyZy@{WA!C10Npuq$!o1aALT)e|~Y1kv2LZda>nvIj*|4u~AVr
zPD0+$Fj3g+WWx9F+S_*QU}R(z<Kf{6;xO=maB^~`uD15&ix-iDb#X>0Ld>$L=jqQ3
z)CBR_rEDjoh<06B{Bk>0e_^VZ*KsEPlQ*^Ipy+4VeJ)d9&Q48FCr!Bo_{`Kv3enTi
zT~k!I@oR>qFfn0H$!mQ*NfEDb>sF*AaVTbKEWavLb;tTmPwYG^873tyU9`Ls9Iu@2
zKQ%e|Lfde};4Nd5oV0XgZS6twBYliaOxKA-Wh<vqUA#tN#?7~zD?)f=0|Nuol$f4)
zdJ;Z7K9tn@C7%t2eq-b0zN&EivuAq)Z=Cs9S~@%!7v4a|-6}Q6Q|`|!3%6iew4lpr
z)?QGS+LCD$7kR~FD1W@DE={Lg4pwwT#7{6Q2Aw5$C@$Rouy&Mb{Vv_@cr3be&@DPl
z`?Ce^WVA3{Sio-DByK&T6b27Y$S^2(JPxO5>YRW6)O1ouUYl&-4VkM~|0*1}$x7dn
z*3j^RwU|&+67eZ)UnPx>&ROea`#YykvpjE7Bl2RM#2Y{0+TN3v*iE%raXb5Whsi36
zj!U|jEMMI?Xgh7}nNE`7T!pNN#ne3fG7ku`IG$^~#Bz&mO1Pnu$Ino+yOoeG5z%!(
z<uapfztN{B0%gqfb{UzwCmZj7c<T4<!s`Qi2-aXQ?$ZanJ;M7HMk*VlC2cQm^Y?kF
zDwBc@AE|!Qw&2OZzWydmmEZGf@%=*1Ydk01ru)Q2uMfm>x4&|!Ou67Z&rBh>>~F>8
zYNKS}K$Y~SnM3PinBh{iORAy^Uq+|2#rhRG5A37ljXyxMUA`qwJb2Gc_?mO`CHBke
z|4<1l&FVXxoBU=uljdVw24~!L^{8OZuhFE>9r{^Y`=x2YWS^+_gNF~fCX72-E|*U$
zxsu(9$zNH2OUc69qDV7WZ0_mH%VfEcX4={ru4_v>D4ZzbY0z7*K5{FZC2f`Vs$i~}
zQ0{T&im;V5h}N;CR7<ikr4RS!${#u_*rhLIn|x`!VA>3)nyn(@byE7$C3n~!1iYpj
z;Epze#(0;<cw+-DI8(RcOn_EhtUwH%*b$?ycaqj`x0z6m#!2`MR&e(Z6tAf#zI&(j
z<k_>@M+fZAF)-wn4WHzH6$QIp_5@dQW2)9R!{&?x$C&|K$J*+qOarSsVrzsX#i5Qh
zS6QKz3`Gc>qStd2v_36IHaqb&?qsgg3Z;2p&+wtRS>%JN$M$$DZKW-h2&ZB&$NXHb
zbZDlV4J@@rhzT&{oaC9JGHIU4Ji@$qUBF2LXM``5@X63BwJn_d#PsolTC@n&@%{m~
z&P!QT4&Q&K6bQmIrVJztx}?Y|H(^Ix=6w4qf>pKj2jMJD#QJ_Rs*5EXs_wc?92dG&
z>V1@6KtNnkoq(&gDq3^RKXb!g3HEV4L2*vn+ByR!I666*PNmp2RJX!W_QeZnuT?RB
zriKgyN&1Tym9}iBrRU(dI^2M(p<bJR4reg4kWjH>VO;a+41Vv0SK>j>?JZ*5zJ2o?
zZ+vTBp1;0?FTJ16Aak*@bWO3;8!cxUj@Bql@ozG22wz*y5cbTw;<mPw{=~aj4u;He
zaZsq-m}@v8E|&hMpQ<g|*{hbXiFo%7PnL$)NBn#x^wZZ00h#f+H`arC%^3#w9A^tu
zs)W`g7v|@$`v^bFxss5OvMJ%??HXCh6|6#%xK-b>YHDi0MK717QH7PR{rd-E0(1u!
z`q${OycVyovKGzn=QOCjYSmYOvmI>~^BF64OJ1EX^_c1LUhqr#YP|Ele}C==uLF*z
z)iEsPc`$GK&c*wvh%E=!C(eA#zWHGh4^OfFSSybo)rkw;`-np}nY0Ny<qARk4o|}D
zZ@&(6(0!tkX&4g{qB%1Vb;xG&BPC@&oZad|%WtlP^4VGJVxmisPii2#?iUMiJ%i0#
zTlF}3Cx+H$z&v&P-s`n+5QQw_)$>&VMavlu-IIXV)E#v6=xEiF2ua2Dj}Ou9-nXwN
zQJ&GJ`@=3W>Qz3GoAlVCqN2R<A`cE*W5dD@SrZ5$k11*Dv#;zisi3c=PgmZgkaS8j
zV$b?hP<Y3g475avm;qpJOf(A@Y&7`%T$MOkN-gT+I9DW0BiuSx5BPeV4%?PLm)!AK
zL8~gP&9FB5ad$V11&?j7pJMKP{|>jcP};$gJ1c%EY|Q5_GQipkcN2^dW670snjP_{
zRk!#k&*H*bT;MA!)m*)k`PAUosP49APFV=GQ`1j%(m7|Jt>2FO3;U&qMU5IQRR>h|
zov;lqp9BDe)l<;rdU@!qXrkKNrUHi?F;$C63#^PngO6dUfWuU@)-t;mr`=#rPfygF
zH@agtvNaBDBsvko?FEr$78a>tPNs=)TE2d=J4wTNk~(jytaA76-L^BkcJ1<`?d|Pt
zSm4!7SFR1TlU!WnEw!ALnlXO+_7npXzrvtWsTX-pMpOS%tJPXPXX8wQg&@4NCgeZN
ziSVPG+_#8RqfK8uE#=pr0Aqg`o`5h}Pv#Qt<{IR6k|$Y&Iy53xYb^p+0f*KnD+w2t
z!WlMf?I%yo#s%KUNWHsN%gg+6wg7(Z<(7<(YPL$FO_`!Dlyh=vwuPC+BtXM4m)2lu
z)+95?dnGiqB`en}(`CsnF+M(?aIt^$k6g|0BLvbUO@Ynryd0OR$nxrGxM$Q0=CxcV
zKe9m%r3nc{4K90CLQ%6#B-|}5Avrn5%XM-xfL?G_#-uGzIo#Q&i%r5r;iiV=m%vVT
z_G#I;*}3*${1p#NwZ;9%p3`C-SBQ$Cn?Dpf%?(Ufv8yl64b~|_u&r4dXRU^~s_v!A
zbOd%=L;9j-TxaJ^m)WMXyyiEHWs7;NG;ouym2|!ppIY{`_2R~zIRZcMF>l)cd#E}T
zRu@-pGc#~1Q{Upw@^WQcJ{@B+7c5(ujq@Qhay;_N4$j*je!3<sJoxE^SxQ=mx}9h3
z3mOmNQb$Kjb#?6GTyck0@_l~Wkyj94)OB=p00!M@&hmUoyRtmJNnq;pma?j<IzL5?
z7!;2H2BD}4NHgZ^*Iuv5LkIH`tom6XKW(Hm*|trD)AIXH@}ty>uruh{*hJCBU78&w
zJUD8Lo;cII>ug@<-7KHV<dTy@tG7&=Gk&JzRZ9*Nz$?HaWmcWdP033PZosMHYNE#L
z#@*K3dnowqT=9<&twp?kecEQUSsk*f)Ej38C%WD@XPG<=;v%cNyN#N6kySZO2^~=|
zj_PhJp1XJLssRZ7eVjTXN@TjXzdvqmxs*p6_jRzY7qIT5ckflp8?%S1!U|)J-oePO
zFUHOz)ah7s9M5tj`uR>j?W+ux?VY^!UU(oOF04L5Hg3k-jemG2Qw;lwy5)r`Nu%X?
zk(rq~w+2T1*B5v^{&iFfoQNGY1rBBgqs{UvITPxf1_z_#<MrE|%tSq{cJDWf3}n|E
z><!SY|KvHG>5%T7XFV9(l-^NWyteYNeCT?5Q*!Z|fVf%FLf-09N6ccCTf1yambByd
z7n4t(JZZ?YNm5TaK<yUT?l`Q@taM&d(<M^@;5%-4dAUAKhmkmF6}mV_-C4iZ7rcYv
z;>D|Lt8*t*@@Ck#?eI8vs!PT5`1FpL=x523VU^?xDh+qCS8Y8yG&cRne(bj!lAjkG
zsuv*3tUWlNxu{|A<;T!q{w2rpe?px6)kSS)KAlKM_$-*)j90JGe!go7{x%xo86LQh
zaPVLrJ^OT>l`WawkEm8+bduLvYS*qd4%cNGPXY4f?Y|{vQqPj&5T@!TOXZ8)<cPAK
zh7xn-D>Ns}g(nn#yfgkq?nRNVX}n)Tx167gvEU|#W4UGKZ+qdaH~8Z7ak2B>HI;nZ
zOg6S7L)DS@&^&+t{xbz9gS>9~@Rl!-71WDRGou(4pF9!`Yj2>8k<aM+XD6GQYey9w
z3M+!S2lu<#OGSxv#376nrv)ci{i6f-tfwos5Wo9M@=!u(!v(ST%dbql-?y-|BVIL|
zih^&ph5@gY-Zays7e0_)b;Mx2y)ZHU&ABsur^#SjK>)KIbX&H6p<Cs8ElB|<XE3-+
z-Tu~&HkY{p!(uznn99iBERz;s5>l8|vp(NWJ;%kR5GCv>BO~LZ+H+FCQ4S@OWqyn{
z1J$RtZQDi<sVbz|4WV}JgZ11jEGcCc5BE_f!qOdQ83o2bR8mq=LBW4&YN{TNSVSxB
zhy8!|-o3UU#`QriStwIekTQWYH};7vTLAenmW&K1A|W8dW>{C<#fF+VP@{^*D%h+j
zr7li#_|A?`yhL%ywYYXSw<6f-vf+X*1US(wt-SRCs6Bc56wj5B{8T)cOTYVr&}U;V
z#tW0%uU*Zk=k74Bes!T(QD0v+V3jLa97q{G6kJ}vZXSGiV*BT+D#;Vvt~j`JWgWfo
zy7&9nYHEssvGL}ga-SV*iz;U=z6^Ln+H~x|3K1_EFXF91bYvw)N<{W95{LbQf*63k
zp*wq)5pbTevN8p?X~;fm!Q_`OU#fVfTlGuCL`M(IPxcJ8WaGE*Jr+@0D>K@buc+xf
z`9Msc9{b|O3kqKAcrhnu=K?WR1A~OIykVBn)?8UQUV*Y}fIOVo7i?zO^T{(v$gODe
z=FP2Zq~rxt(lY`HyICPI?DXl=wAd)&n4#GgkD>Sbg``BwRv<_7rNsgM87~&nL~#{@
z4LwtGpw?dCX?jYZ4%uiZB*|9^35k=FlRFN^D5Hbjr*f-r6+inmm_?ZYE5Vf+Ei_U-
zKBhH2-a_=69qbo6AW<gv3kjtF)g!X9w7;4zAmq!}zN)osG*+sn#{oHqSwCaHdCBL@
zjq~lX*GxV9flZT*z479UcJ1=QH07->V52yl=gk2&8I-thdh#q;P?{Ckz$^O&Xt9eE
z@Aun$p$o`Si(`Yafne9{LbFE1yBPpc3D9hb!=n4D$P(}o5x^V_;Ii9mx9sPas@O@|
zxf4gCgjd=RD2d9X>sHjqNooQ;qqJk+h@!_nJq1Z!ZKjvB0*eDz<A4Zsc5xx6YJaWK
zpJ~#fKnXdDQOaP?PA0l9+H8Zc*bF~DSxbEV`rTj%EZj@tK^!&rcljcKxv;P>xVlto
zIND55$r`Z|(a*Iuh=rK@GH58|0db^BRXu;U8WvrAqtha;wOzn@Ws%5h-sz5ri;TPr
z92|1{1?M9m1;9Of_Kc!b`OVEc`>6QicO5#Dv(?`xq^QZ}R(ey0dDmswWjybs^F62>
zuLFmrl4IUwmbWqW{32>0!@ha2Q+;UtULNLawjEp60FoD|HL-hNjjF<^>99Zq`jw}0
znXpK~b`NbXD=Pz@!s+nAgNb(S3)$`VT3K~M<^C=#SYGp=RDG<wuRh*KStboBq)Nu4
zc_LlNU709zzT>TLx^4^wJ%8S5`L#XEqURGu>6foxU&2(nZ`y)*4>;R085kMst{qj6
z7Iazs+|f~7JB`SixehnYQZGtbC8bwzuE`AMv!th|`vnIl-M_yTJsIVm-MeK1SkyCg
zD<}|Ka#YRyXV2+v>(l72mt^dAh?<%jYpL=@2{;PiKIQXxs&b`dWKLrZ+xZJ>dn$rG
zh9SIq;h#SBF4s+`XJu6crZd5^6(|u=A0SmH*Lpbc8JhO?y^SU}U==nsHTgsX0hoW%
zs3|Q5XtfNtwN=B?bF8e5-a@PKK-xg$l>~l0O$F!GQ&Usp2mqadjK*!gYsX42tDA-4
za9x~tn9~?frv7AcOztethYug*cs*XdI)+nD7lzBjhn(?MZ4-F7QdB@(#hCs4J1%jE
zsz{PZ1Je)4NGDTe_^?`Y)dG>Gt#)m5Svrv2*L}Pw8RM-BG_zaYH|FHnL(*D6(XTb`
z21$>o_tC?0u5EdVV^&HnRq-v6F)JrdP*A80PHu3rj$c#a<FCU`W?*8fPr?@^mQp$0
zfcWeWIi1sZVO*nzlepHWXEi=_Vj)~*SRnj8x!dF6)?qap%#F1<5($c#h6DzIiIOdj
zYb$e<gE=nyX4mQ%gZrE2dc2M>GZfpIb&dXsC$4LzXJnN9`Hr%n;F*QRhH-|Usl%IN
z#NlrVVffK~)Zy%nT*1BbRIgTr=%*(y<U4DA)os*5pd4^r)Ob<L>lF2TMW@2DO0x#0
z8$Q-E`eEh7*|C+H3ul)uEWIlPp=2n`NtlNyWIYf8q5k?}#|noDMdGVhdotbD1Vi~9
zUYCVbvM?nl07{jUsH}p#!rbAib4wP^%PC>F|C6D>w2OW_ztWvMcWfwnjEhG<zOd2O
zlvf6(?FEep?<m*mK$JHS>@F&4+K>HN)Dwa5<nw~<{>309DJ4%7oqC0H?MY-OxDW}L
zH~HyA)xxqj6|;YZZ6#}6=Z#o)p{;*4+X#-sG|Nlh^8I)lx3HC4X(gz<@6b=O9}^gs
zzBzBUZpP;(6P-=$<m5tfvj_~Ob0xED)M1cimCt=Nv=QL49x#XeK-j=wP0Df6nA3!!
zZ@{cWpcM!)oqiGFELkb3Hwt(SSjbvl(|dM%8IHBO@$_kryEW-34&B{zI@5O4&}F(p
zH?HlyrVCN0^hrf}zo7H{_{_UKZjBiRRRdqnhRgV#5f2#~?tFU^m_v2*pH;DXw!6al
z?7V=(s4$qDAUn~3NRaiBjD6kxbq+%Jp{Z#;bsZr@*Ns-!7F|wFB)o+4e)pa|Ni(n7
zng-4OK#be%W@gml3WmI6r^&ZBKLbv)z3)G3B$w$^+pa+n{W|o`cxp)KT;a-}HjD~i
z|CEz9nWx;_&+=>m@+;?3InS##RDZVOe!RUl-|p^MPLFBf(inf6>(Y63r%@Y-3u+Dy
zxr=?lo_Rf9`PMBab_xzf;o;$?g+wmc+lut`cJ!wr@uFgq`fYgxh?P$*EnO{!%(#My
z^F400THXSQ7Clrlx4X%nJkn1vD{6{|bb%0gMFbA)mcfv>_sj@$9cGO_bWe$Gb{&a;
zy3qTyN_S_txn<dod`l@_wMnGOD44Evn&}N-oEeNeURK$j#E2hx-P%f{lG<IIw>Y#F
zCN;Lb$c;G3W6hV5QA}gGwz`tHJXId*1<7<mMuwcCn#HwDEeMhcHp2}_aSP%y8M16`
zw;hrrd|7E4VLiai%xsg<)RAl8wxb{4)RN@bzacq>09GwL{W94zRg0R?8(>%KLG2ph
z#~6@QP@u-Fay4Eoz;vhqr{~$<Vb`&~^(VWpsbmaXK|I`8A-8;^TAc`^Vv6}-N1>Bs
z;Y_U&piEAb18>{9HPNVX%yG7<pTlNIQ*AN$#u<Ty@3KRLVG5T;gNJB013QlZ8PJBD
zwj)sz)5gGbXt*xeR0I*z6mTjD>iM>V@Ak0P)=5e>0{cRwP-)oVThXU6o9jq4jERjk
z1pYlp&?T=f6{u|SFn(n~V2`L==erC`9hN6cGxcju3#=_qvn0_YJTM4Eng{Ul_#IUC
z5ubPpVFUqlHs0TL$Qt687;n1sY_kzw9*ce4kfJ`EanByGRZ4Cj#RCryBiP89g*G0`
z&f{u6rfk>)2O>3`+}yK4JN%*lJoDzYsY2<Y<IHoFjGRlZuB)B`lp!J#;Vi&miX5hD
zS1BrzcbgsIR6ms6k=&GTXLe0Q#AvenV{@)mTvTCBjuHS6A6R@3_a5)oud1jZv==(5
zQ=KhdnQfuNTJ?QJiYw*lubM|_yJW6WBTJ~@=pz3z5RveRD`Kv$u6cv8!6!#SP^1xl
zCI!!+;X;&;vqJyx=kGt1)naNjH%rP`F(F!}LR4eJ!%2{xGJxs};+UMJWg38PKR-Vp
z(oRBH!%9m7HECdAQ1<zA^~_)$r}4M*B2I7)b2!fEBO&(Qb~2e_*A?wlr3~i<OG*I#
zJ*D1_4~}XK3<%kcsUck&CX%r2sM=4Onwq2Sg{nr4DSiM5G*_pNg4kJUkdly)paN=b
z-`Bt>0M0|TVypx&N<MVZ+YHrX0XUke7wK(eT9uK!qg3rlimXV9W!I~e)76dLki-G#
zL0};`hJfzF2-(PVf0d%J@WUHte7k#khyXr@AD%EZA97kDHVy;8UhMLq&M<A`4Ha}z
zIdI?r0?!b*RR^6o?%lmRQ^_}ePC!5%0Q%zMFrJX6BL=u!AC6XH+6pg)CP_#rW2INT
z`ly&!<l&c6V~}JvlmxF<*El-+xR@8o-$L=n8E4OBN4M5AFnrKFbdXiycIhMGkmJB;
z-o|b2ry+@`H=XMfob2Q1D8!<Q>kgiOLY_a(Ip|A?D9B#_mqxW``7&<XxzbeZB@IIH
zwn(~lEd#DC*K&6BX<_1<DWi*|7bUOg@A3v|;IqzyUOXkeU<?QzWE?c>FFw0}jbC4%
zxD-f}abKhif9j2OHud@o?Ip&7hloJ1aZKGXFG`4i1LvmRMD}TT+moFMZRPikTK2EM
z(X6wlhf!104c5}5!hjknW3FHbkMUUFOF#`bl)oaf@2)O^@ko$=<d*6ED0?57RR8BU
z+e66Lf7+AvVot)7CsQ_{2?3y56S~UAIh)bxXAFsFe8$ZEvT{i{ikcG&!l)eS;IpSL
z1aq94ye+<{E#l|$X>Rx@kZaDZ>l2l%;z3)*5Nu0%_ikA@jI44;QPHYl1Jh+l=;U2p
zEmoc>vqoV&e@fN5A9lhzK{xqZPeyl|jlMfvCIXmd&x?HPw?rZ7d*-cSEv*tc`4MGY
z14vB;ubPbgy}j`_hy|w4st-~z!zC7N^&?>%f1U5tcO<7rs6%Otx1?6pW^-zolQ8e5
z=#-iY&{Nj0jfp=yLbZ?d?f=B_@mIvfe{3W9%|++AkbC9Q3j5Li&yZ91S{U8TNsfF$
zc5!``#0wz9O2M-~lNL`p(L=kRnzV<trt#_5bexd#0U1}^KmE|%F#o~hcIqVG=}KGJ
zD%Vm9@W<$;{T5QP*4oqZ?GStlv7CY;;qHqhZ5GD(JjsnaU*`xm?)*6?hmX|yotAb_
znv;ef^H3(v&%Y(hMAp$UFUz>;G$gg(zA1T9aDtfyYwBq=Gay|NCZGz3Sv}~ThYuf)
z2Cz#;#jj-7?hqHHX=|H>z#b@1MsWNBXqJ0=gt<OlPZ9xOMB9{q`{Al-Y|k_bP_-gu
zCYb8;t^3w3CH3`k3rkCkJUq&vzd&+Tn`6;q4VDH7EA@sU5ce2B5ia$nRs?Lxd9wrq
zJIoL$nZ@p>tRa`n0Rdw{%|%i!u~8EbC?454R5J8m2(B$#tqg0f$p9*6EUXlmYmJH(
z56*K6-gt0|$EuMrfa+h;%WAU)a=5KJgXAmb^T~@csq4K5BQvu&I8UUswTa`^41Z3l
z`;Ec-QR6b#7AMA9Sf8+xUL{xuv6EOYD>(??C(Wopc*esK-kK}E@qwP7ads*xn#CGB
z_MNOQxwC~5q8R9rLvMFb*8>@l<U-qG`u6TNUi*oNGdEs!9#j(b!Q-v`dEsCQfHd33
z*O&azp(yYh#79I7QOazbRrdS9qhJbv(C6j<D7kE~Ld3>*3hQQc5}lO@d0t#x%#t^7
znmE?hf}7m9ItNqs<?@jcW2_7i&gx#7#!WJiLN^z?xn*j-3<wx5rFN6Ex6grNHg0Cd
zS{bKMIyo?)kL)18BPCe~!osQ>Ys)8~gS10+0gN4aU#-BtGXzYOXOH4X?ZoMXhq}eA
zW`#l}C*+h&nis`hl)3VxTnd&4weq`Gto|mN?*9J^GY#AyC~vgjybzfEro~d4Z!;VV
z&X+{UeUTXmmO!Tc<n6-M#bF9|-DmACbLw#Be(}s-3r9Je8!3lNjA_|FI4Eg1ASE3b
zHG22Wr4^#Tm`z>pQI77f7&(vd-}<P)<1{<gRqW>?uXF9%1MpD{X0*&lc?%}GEX@Ml
zNvD!$od9~W+Tbye3n=((lU)}F&w8HVmVg<z9%KieCk~JNF{xUmiGXJv!8buHW5nw>
zBrDtGc|?hTf<+jVyTTq=>HG%eQIc8RrOpDYU-kveUb&{@I1yUm=vo~k`pi@Re&D9~
z-9n1%810it=;pA<tW3jk#X~UFuz#?LmYh0(_TIgFmq^(&A|Lel@ne?KLx&D!f+@%Z
z98|T{Q$X804n%s)z?K6(k*fOMe!+oCX8k{ybSlo^SMSv#n+^xLLa>HXYFx7*d(pQf
zqjg2U#C<+@_XatBcw#S6KFM^Hit5lI8mwPYHXAFeB+y!ZMdMS(u;7r-h*o})O4O+Z
zR+5?*z%YZauPy*PjFXX-<#b)Pw~J-Pf&t_=7M|*3U<shljxJ~x6nP?PU?d^E5ii}X
zz|xZDG&klG&1uw-b22@<X-O_l5wGC`W*#-geN8Q=X=p;5%Yo;qzOo<jG7t(AW(52*
zEhajDhTJ0e*?x?$pXQaDgQi03d;3`>T<}-lP9~6*B2J+A>HfyF69$Y8XjXar60YFQ
z5%WQy4geuv^Yqlz%xsGpQk_9dvd(Cs-lYl8CG1Uw!}^|)=c_6x;HTuV{1CGO@dZTP
zG+Jaa$t<?O=wCf>YL(bb0w7UV!=e75x(0#s3yq28_v^oMsmL%GjrBcDPTo5Z?(ZLq
z@&d50y?;n%m0>qndo4=DyP-ALic`P(ClKi*foCiaU~NPWN*G#o`>qFGt8NfWAr)3Z
zApm&`Bqi+vTdE_kP&TfDP3EPK&uf(BkG5nhLOeh!J{$>2Z{A21IudIkO!m)m@4--9
z>HmBl>?8Qu1CtGrn}$v*ukbxsk2Dj9O~?N;^cw8zOEdU&cUgd@Yi{i%_#(P?GXE=+
z&V6TR=hi|SjQ(LkUEedb8p&9{5h_#eBF!CKUF)}HPX=OPyXsh372b8&R#NAe6emtK
zl~0phVZ=hkq6vh~o+TS85`J|ro3L8<{{eKR?>ug(nl$UmY2g$@hl#MDwS6Ylv5y(q
zQ{ukrl8iQ=b_1pWgwTjAuKT;SxDr(Jb(dq0qkrrqv^EQzMBl+zCFg%=m;EEoiHMYk
zcpD@ez3gLo?f!g{mG&#=ud$!Pj;w#&yc?)Am5l$w_cLP8f3n0u>*JU+Kv54_&>(W@
zdV^-Z?8AKv?YPcPa?I$_WNbCpi2tpphg?B*V>4pp;J!*6ZW&3uDBoSK$tUA1s%rIw
zLSK0OE+QDvUF=!l-0DBJ;lJtM7fI(nefc+zoQ;1$ODplzb7M-1h{_kYejs}(au~M$
zZ6HBHj**g8HSbFKU5ksenk4mKk_WqS2=_rg;ep(r1M-q{&`<YoS5HJhc*C}2&eicL
z41?i_hJPDsiF|;fN^!IrY(4NvZA>3#?|t+XrKQF)jRU%#0%YrVFSU(oKgp_w`K@pH
zHxn@-Ar^4}ronh8X{aU`@B3e(Q6{Y|X;W-&6i)t8F<P1H$eiS(a{u(Pr|S}p61>Y-
zu&L`XaP;ubGcIXYV79nxzpj5ah5~SRbqPZ<SH*hVHP9T9e?Vxs#7=TwpFeV0EaDD`
z+Lp?<7L0x$A2B6LJDKln_y0|R!<a$x#PR0QKh_*aNl(;ig5J}>!*&B_xRdsWpJ+op
zAYGtOi_740_ea9)@ecewSX$eIz_g-o3`arHLatQ!_*VkA(9yJ0kZ4^TUjXFoJ}rH_
zbf*CKfDGJnsex=5ga``wQJ5W$?h(M{S5#8@I(o;q;w~?9LiV#N0Z&?~ibf1OaxAil
zQbiwD(Ue#j`GIacEP>=VTQQydX}9f)U~JyU2xLdA!FWZ&^op8;-Mmr^{Ul^k^_+Ri
zT9PmU9CvpoiNmH&$dYV6>O=suifaOTBVR!sLe2VHVP%F;?E+c4TNXA>{rX^@_u|E8
zv}TzE*Vff#f;&~2>Bz@VpA75crNJy~X%qsX)o^yCNd*kbC@Lb8;D-<T6P<7KrYrf>
z7r~UMf~Zko`B{CxM3=MV-`FoO^W1T6Onq=3Fjw7E)}nZb$;02j_&$03xMnoFBZY4)
z=gOHw#i^iST<ZD!BU^RnPLS2lbzN};2B@r~L-Wg*FW}2j0PPUm)N$`U_A}Da#VGWQ
zfFuT%abDNuoW<GEq)l74#{*Rcry=2}rgPUp6&96@>p<h@fUy`+8dw?N5ztu#uS#>b
zS^LVaA;&8mSc=NZfyfUDY`3VU>q1PJ>!JY?<UpZHC?7@ZxmcOBOWhLz*%gRUyO&;Q
zg1ngTtP<0aHs|RIUg!BYg7ckQ)^Rt&V}Nmbzkdf?hma!pXfu02`Wx_9HI;@>0@pwi
zSb0A5@)i}XmCHSS@}wR>DCE`yAgCz>bD7X$!5iK1{L~d%EHZ0ezy7EvB!4VV>;$)I
z{V={b1+bl{Pg!|6C(twCkid=?&V{Aq4Kdi6YWlnk*JPS2G75XE?Q{C{<-*xt7}RUx
zuz|>erfo<md-dyjs{4ET|B<=dEE|>;%AIHQ#FPHvCVsu(n-<sN>tFryE#nz##jb_>
zPF{?-vt<V_SmJk+kr4nV#RKwXq@juWWO0N^DFT!Q!*}<0u|O(-q%@RD0Vo(w$se->
z4XZv@{6w2gqdIsiUV(Dcr{9rn7S3hb8XqR$gf0n|{zgEM3|NrL_ZzzPz?feWAaMiT
zhD*=J8}F1Hyc7zt7!OuV^M&5)zmF3Ux*)Wi;4*$rOGitKaF9uBPU<HMHg<L$NQfZS
zS^;h-h}$d-VU^x;AU|7)*%g_&DTR{aEBUsgi4hSIDitX8yr{SlLK6vis!e93AUbp*
zDFSm$5*VT1&@pM&2iz~@u1NgvlL~^(sEM9tcHXL>pdi>cYGEwYsIK72%-V`eT{YVs
zf8ifrXQg<1R@)rSuJ+e_^3v_K+JU#Lc??hHDmV`tlD8WIAk4&vKabupjDi!)=oOZ5
z09n<W8w^d1nntVBqNA^Z`T8y6p@RoscXxM#$i=`Q1Lz${dg4$Lekiq+s;=|xJ)Kmg
znRch~!OTXDx>pypkb53@-g<lWB`2n;B2)3{z5Dk06ATHD51l=H<cPwkvm5T()1dJD
zIqi1W-`uXLAt56*&Rio(q02;K#j?P5<!hfxp=#yM^(q2ITmvWx|I)8-`ix#-ctCpG
zc>({$y6@f}OA_pp+|$E!lM^&uU5R_VDNc|cH?dGt9MW+{Rf2t%kB<+9B1>4|;)M$r
zYI^NKh45!meht8m?{axMzNNsyD!^#fu{EgA0qlMtcYqaKk*~4ruhj>$I&?x@UQTkk
zS^yjq5MT~p^}>0#@n3NvB(|IY-~Wf}GBM-0ujS>kz@^5Fzu;GeN*$GKQ>fNxt|wkN
zwvPA>ZPcAwni_E_ZZP<+3%y6LUAvaMBDfBnFwZJWjcdV>oHWV~$gMqmPstm2mVCQ$
z7OYCTu4nlLr{F?K8*q=)VVl!SZMfN;RJFCERU1bE-{KbCrYpD^n3-_|{!N&ERx1lH
z=jo!PDQYVV2`x!DuOdXjw>Sf~SOUX`j)X#Z2E>}7BMA;#*g&l8BW?NFucM++w%BG>
zC4lO5totsED5vXw0Y}7@hkGq%fVGx~bO2nKy)*N(D1={odc>eIglDJ`AFgGCsubE?
zmrNiRZL{z3^jhWaa8B2-@7h)fM+AkSa}GF7X|O0-wmbAwg8y7?WogcCrg-4>)A~Xu
zI~U+>7pKZuQLPW?PAqPNF#)uQ<u*rzcK<GTrg#0Cj6d`;x$~BOKx)Y&vRnVgudd7u
zdmDj=?HRd0W^WaUQvVmWe>|#ys1agfx&a3Tazms5tpo%M*5_qlV8Xk1msh64*Q^Ul
zYsY}MPXcLbpC=`s0&r1=AT}2*Pl+L>+^)?g0L1X_S?;|UbJz0$<Z>r~ElKEp`Bi5d
zau=0UJAXZ6<7wLPtqz09t{;5hh0>6_+xBo+_1)0X)h#30at@u9u)hB|^Mb>aHafFc
zmluG{fBr>V20SF_IBPS1PsXwWWlhOIa2UZUz6cs8Ef%F1sL%%F;pP}O(B_Fi;S78{
zs#y=OB!DjkPWS;<w}q!;pkU>-@<M=wFL$f2|J3A9c-R#@7aHVdZsob+)s}VD-#?V%
zrtk#EAIgYER}8ynh51R>!<e)DFk@l<h6Ihj4`LrzxVs_JO0~)MnnfH(sZGhk`)uUW
zaz6k{mpm*97&-a5U3&vKInp-it#fq!J5a`vc$3VN_T@T@DO}Riwei{iaYf&x$q1?B
zuOJxs)V{R44Bo0+-s_Ng8kfNRJ@X<J44PNIdTMo8a7`tUK|;O>XwL}XH+QmZ!tCQG
z@y8eS;Jyjl{e83(FUpUK-hk)w`0vyjhOmQUt;u<F;;7d2uIHTR3-0J{#Y}81@)TIl
z4Bh9_9ttPk{LT<qzB_U3&@mPxeQji?ziCZ!x4B!DQBYvd?ZTMv@%A8r`@fr|^<n+L
zaRWXvQ<nf!=U?K}M8X2K%gl=~`|igK-bhg!YD(9`Es4nhES&+PXv?Gx(88cS_A)H7
zY8I)1=9L-5N?HT%4|{C?CEje%0^cYRVxpaa_p@i#i@Z?I1U4Y^7%k`3h5qJ3r|k7A
zNI~lXsenn^1So{e41-mPzTo-_`Ua^=96Du(;h3oi7wR~05#%ogfU=4zDnZ}@lQOuj
z6u7#wgbI#0XP<&L!O_YDHWa?`0vgcNz^<23YXzpip$tQWQqV<HbBPkDm~$8iSc;40
z5weetQBWlApmvsulMF}2pM{cX3>(!xfWmmMUA@Zj&1QYdF_;iOQ(Q*tn_KsQi#nH8
zXaZicOe!-70Kj{{{CHbhPVOZDcN_$Z#>M5e<$fWb=mRvua!q>h#zlb4P?3cwTo5q9
z<CfFVNV+FX^_$k+%wX!FgW8E~JDvv6)WFzd0DL-Jy}iIeLUYIV?S>$+fi-{0h@boH
zSrKp|_`#_V1x_KkCRPD~w!vW_w}-%rP!AB;P@qbaJ#ff5F|ujAT=g%j|4eWVS^jOi
znZ-m!X+s@O7O<T<b&3JphZZ66@#n+?*{*?Y&af`l6A;!6K~a+)=x}!3uTtQ1u%2tP
zQ{?+3LhV8e7JCTZWu>L1z4LSdYOjk|M$Lw5qC8N!0kBqxSOz7s9#R)_7-T@<MMvyL
z6R$lj8}CrHUs~DJewS1r_&XNxOmKy6l1cx|mxsZ0rvN&mUrN>p7>1yZj|e{CdIL5%
z+8e;HmUu=yNFUg_DI$(vHd6(c2V5;ORj$kxugP0mTjTJPaOVb4g9c@rQQ*O=<E@w;
zsJTs8&F|v@y9qTDVx3htid~Ul{W~&LLFFNMiDdke=wXZiw)Is$mp}!5;Ijcb(gs!b
z0wiP@%?7EIlHXnm$UR%eH!q`Mc9THZU4-%lc^R4RoU?X+4UI@uk&B7)*|z(=A3uH(
zE!v?P2o-|0wY8#(H}l>X9jF4mHfbas9Bf#ES;@329+sh$BIM6pl;`SS<9M2_Bc#X`
zR`=|Ib!6@V6}m7mDX@W!ph6K;TU*{NP>Myu^T4BD4Sp>;ESP|B8C5_aBSjjx&l}vW
z=J#3}&oMI-fTSlseE55VL@!({GnJIxM78=@il~zE8zn#r6c)N@5A~ZH#l);wjC_20
z)CkOkUbEfZx8Wm^$S#p@+27ZP^cfa!-<Eq{(&gpk20-(!hFwYkRS1&B#9AIE$T4BN
zH9*<&X*ahu(IrUq^g-TX8AVQcHk~IRUq%L-<|UNb=>lI-{}HOl5UYezBulX}Bmn~z
zQ2as{GGL7Tk!%@0*zMv_&k2G#1&?Jkl1fgVOioT_f^<^9HW~}7*m6cvOiUJJ?^wz3
zlw0o~@-&0tQvnM0=vi1Kz)GS3wYXfy-y%Tl$TX-EhEmWZ%YD?Y^O4a*)MTt+27|Si
z3^k((S3LGTdGx3nz+)zwd8q$RO-*$KUqxH44GfMU&^bY=w<R-OYJutoQsOfx;1S9w
zf`ok;jd}RbfCy9&%HTd-2SXWHK+u)JgN6VkEO3-lfU97DfqS|M0=et*qzDwVkjtCa
z(qLiS>%cmk08={%2HSctLy-UD9}z$`42<QEH>lgS#gvp>vNNMZP!{+LH3g;BW)gp~
zuE^@jpc(aGYcd`w>`hr-9?CYIlRM*k_`rdoOp;0Md~B6n-%wScQ2jSE!&*9ue`qck
znPWKkT~mIyUo?imIV!dP^koLOMqBlzO&9IHe&hi=@-jY>|GMCV7%x^FsFx3gx!wUm
z<xYv}MJ@>poID<@aB7txcp8<9gwim&k?nJTc#EY{dVbkRC-Gu$efx5<TlT`%csObA
z0ve%sp_-45(+EovW2<HoKDomCX4n4e&j18i?)2gTDe&Nt>PohbAtJ(nb*;9#$0Glm
zq7*r_mJQa|vR)TbLfsu-e!FlPDh;a}LQaRW1(V;*OtjKI#>j-GjT^NrsH6|5*ysA7
zV&8;O`$XU*utqp_c3WNql!hJw;xMn2%WQhv^lb#A*R#%hUg{3@2h8`VVqYhV;5u<f
z`wM})9oRJZ!OntPWP1ZD&PFr~a)o1*x4b`rXwL{X65Ukd@SddShG?+Y6evIUBKKd#
zd+#uw--dC|21*q!V6Kt+P?+~J))y;tHJ)J^)i8}ggNc&02_!_XfBm6#g1gnj-`r5U
z!7j{24~CYJl9>I$l$}h@Xh<;E0l~Oijf_<6b8qfke-`)BjdIfeykMalY1N&|q_rXE
z&`Pm^oM7>AY$q{#bTCety1%Rec^&FtN%!5tDcwS_Rwr&Rhr&IE7y$r`Xh7g^we&G9
zf`|D-5Gw2iN!R!<kmZ+fFe5tCyW+FFE6!eOD48JfmwPupe;o*hZA{T0CHLy;dA?1R
zXZyNO3JznccLK?r^O1t$i)I<zy4%?jhqr1WQ4<S|WpWmYWoYinpQ&9Ffc?<3A<Hw|
z0u7(*%}ZKH+6)zMZ^jJ8N-#2Ko3zA&%4*V-b`2C7h&mLUh9JE77}~7DX&ikv%>H#*
zk6H0bmgDTmV7>pVSMebsA)-rj12tEs`zovqSOFR#Doj#v;VPga8E_PX@jgyyb<*3g
z=JhpPAE_D?6LBk-a$Tr~a0(QY;;+^x@GYYnA*6>9l^QkO3c*06-b_QosHs2=Cp;Kr
zvlUiw3P~tCg7YOF#8hPT1c#|Bvs#W6LM@2!d*CsB8~G0;OPBiKj{@&MD)Azn7i~wB
zQ2jrU0u<+OUh<3V!4t<jG(oXSA`*e_OBA7Uh*of6XJbQlD6*3mrC19l?t-O>b`UIu
z1X)Re7{pjs@lW5t;Sn9*)8%3Xf3$!3y$BzwaQ)%08oVFWn~wV?KYg(0sHhKk;>N+o
zK8UzZs7wU_Aq%=AXTuC!Mryx(2PiY{c9uply${Jw&|(2Ev6POO0Nt2OwCA%Ok%Dq@
z@Lz!gpdLJJ>qX<MpdF$N@+C-tAhaS67kJBK#EPM|ez3)?7z(;H2GWM=z&8)%Qp3`C
zF&+S6l4`bTX4ntVZB>P<X5-^i^{Fp%aSDK{f-E`UOJ-qch9_MM9VBkvj6e<s_}Svx
zRWQY|oS3(U&w*hyY)lD_8U@%3wrpUM6Rb}<IoaCUh61Z|#MF^|$;Dy#7er>rzwCCW
zOe!g!)%js1<q*iTnK(joLz-$NQih}1z3(ZWfnE-9dUARlA}5cbmyJDl>eSD`t3rnG
zqG)l55!EEXDnLb=V?|4*aaJ%$u>hSIz<&mUZdqj|5*(2g5m`;bou?jOzI>VX%Y_|F
zjeZr=BTE*FPmlO@6lYJ&E^R5;mWhO7;z`E+fR_3y?nduiExtsEmzOK!R+%Du&O|79
z_>TKhMT@Xl#r)n-BP6^HB`LJE3ls<f`nw|FIAiWidF)vHsVfgruZB7V9wAj%wrjQU
zaCTYaE(CYyH-l&M^Y+LW=@X6E8EDc%A>e3z@9P>s#wKGj%Y^MZY@rJ`e=|zW=bd+p
z$rH;TtoAG2N?=$vTJ7bn6sl)PY`oD2HXL4MqLYP*_&c3U4&SK-_CB@9U+H1h$X>i6
z+o}plXKy`Ti-jzLkZFV}86|*>mse9$^Xy+9vn#H9eeG$6!?do5zJca06@sX!laoB-
z1*6;PUy{}$W_}$V!o~TuO@v4VX}>4WuhY|}ElN1sQfx)^9tmP*7w<_+n^Wjpx5j4F
z&Z+-Em~BIv(DOq7sh1bjMB5hJn{FH#l`ot|iU)jM>ak$V7-=uer!@emfmZmepbboN
zB&<v^AIK|JldPcJ=?qpP|2||XLr)k}s)1^M>Fe85-=Ujs07w~%Tx+2?PoqB<0(8XW
zUqw~S&^=Xe4>0PeLb-rSfqm*&Za)>01$d`(=987vzeA}ZOy0#s0GEki3B{>oS~eHx
zfj+`==N3?ch%6iJDAojNLJo>FPL@IqO%mJ|)X<!f=m&;Q5k&{uK@bxxcx_uuvJIeu
z91@B;AftY&TQd`1r*EO9PQ$qC9N)I>+w-iJ;Nj07Gt!TSlgB4Fd1$Tz-8dPps|LwV
z$DTmQg5tzjiO@taFnONjk@;0`v9z@00BZ?wlst=ZF)^qQ4v_whZ*ILmIhx(>m;`CV
z;iE_60Out^tpO15QsAOO*&L+5JnG!g_6FjnJd6fqmkzuFmfsjs;TDy-au*Mz%D`Y5
zf<tx@l{^9gNO{rx668sU3<oc7DX()r+~G}*hU)8=vG5&h5BN_0_pnnxpu!mrlmy6c
z3<2%Kefok+s~&h@@QP<570VA9kI10P5*0_FE;Ohe2|TD60;h0X5KDztrMtTLPb16%
zU&mg2(bXDfw(IRzEVjvyV+)La^hgT-cexl>_eKWpZsqykp?6?_e$z_oH<IjsuRqoQ
z$wfb|vv%vlxO@cg1)`t$O#w!(^LF<;p8Oads`9_U80LdNgJQq_(-?TeFJ*(^Q@lU<
zub%wdBP9Kf<RIuuf|VDmQhUz8-<~~O2Z)tcq!*)pwCi#&P22tuYBi)x5QGEwBB=89
zJAR1b54)#QdZ&I`IPA|`^j*FDVlXF%%r+XuNmo-=5<bRY_C_VzF>?zIcQ`b%xmEyz
z>VI4Q1KXb8+n%}iQeuy2IpjXjQ$k%e%lHM5Fwn(C*pmX>gV8FXYtYYV@bTHO_^Ej~
zUvWq_D-wi40HkQhCn<n&#Z|`DwFs<E^)X^cK{y=(N0s$)8n_y3@v@~~qtZsREKW_*
zpkc^LN2@KN5KUBE+z$+Mzh;`qsRat80;s;YQba|NQ&W%EQXL;G2(beWCx~6os~LL6
z7^UP2cXf4vgRU49y;z-ce{@XBZ;yqv(&o6N50ogV3_FlSdW`->=o<C=qQ5&mzc2dp
zdwAb(u%oybj#mY(V#bu5%K-Icy{QC3nz>Dyqot#S2cgVb2Dqf&@$qrXF>vgJDwx3a
zO9EX=D~6~(YLy~?A_py)zkbkST*j~Jc7Lg^mJ*onyoVe|Y;0^ZP)^u5Olwv!`AM_|
zdF5a%4Pk%7GX?P449VdeAr-nv{f4w2KH;h@0jl{#LycO1)@&9GPJ?3sC7*3PID+7T
z-~fRZUD=>5YD_=Yn<Nr#7CSUsax9{XR%TT}1_1&+9{g0GU)v5N%W%6FB{xKXo3t<<
ze_4K};>~T=&L4;0vSka@OenRvt*vD8u7NZMN>ZpwmT|(jZ{I|hqT}NDT-q`WWTE21
zmx4|EI<9}g=!|TrBqzu3;Lo}(ZNj*o<>txEl|Yr2JR8OgCVKi8)_oQeW%uvjkI%`;
z`D6jm4sny9oyLQ=8tSELp@~;aMg~X4s|#09og)BI_0eO9=s+?D6#0vXT$BdYQlgYK
z_xnNM%G}UIp|V~8h6cT5enC7|v1cU1l40l(ZJJqNrN^uy=epMZ?vK5$?#v5|6>ai~
z8M0$8-#|X`>LvO^!+MEdbkmy*TX?`U3-tu@p#R4tF)z&wMu9E?WlY>QL0^IEu^Gl?
zqr(v#bS8e@&Z;;C<bp&euW9}$m%!3UdS=ll^f*9sBx#j;Euty`jw)~&$}f!v^`HM?
zGW=a>o-Z)@vA%lknZ|6`ig$PAl;nouWmONsHa#Y8;uhPyMEHR7^9Q2QN3Pef44P^@
zc<>;XJ=zyYU8spkK~sg!?VOy80fJCc>$X@Io&l;F83o66s5Q<|Z5)6#gEkSh+p;uN
zG<Z2#dLWPC9?w5^mD5Vt`S|7K%KJWNe4`&pDKEQ`-<L{vKSgM)l1t|c)w+F~Hlg-c
zEJXfl?2Xw6E9f{Dpaq{R$v=4?Ry>D!=cSdEakqe`kp|{^dy=IGgYhiKeZc?TJXjAW
z{evvC4i>B-5Nvf9oNg`v`Ns&F7PN*bD0gBqiUNxTkaG$E)m!-dHspYdb3psTm2lvg
zMg80O?8dA!jzWh&aCCw<*Q(i%4;p>J8*CgxTB&Y?;h;?$f-wO0@v!?6A%J;l&5FDe
zTAkNwv#t|gM8~YjP1IZsETy>_0br6Wdr8l0(S6?(ieDHy0!fMsV6Ys&=7q&Y!=d^F
zh+~A$FKGNiLXx4$1JG~uz%B#JD+641lpE0OXe3+~t)Xo1YmF<c8X$=!pe-J9WCGyG
zfS!G*Hy&&Nh+IK+HkuB-<T~2g=b*tJ=*NzunT=|F4dB#R_jrJ8ZUaj&3Gy9e4ToxL
zYp|Ci$crK;1a2y~WsB@0>5W)R@vudV%n7=FZQFB1A3O+UP%ujh@Mk1K;!%M2d;z{g
z_<2Og!UjZTLTG(l(E5a0kFf+VeE<IaI`6dp9AHQWN=O!K52$bf?}@zY01sm!$jcyW
zIW%eFg}O*+=Cv*@Zr-w`4Qzp=FR~Jl?L@-<WpA!uS|u*2nr+N*3D1AS_rHD{f1~iN
zzy43OqaSkBrHa2`T->cTw6eXGe}xrxVJ3EO$ZXs7{=i3cV*mX<oqvae&R>KQ3+Vhn
zm`z>S`kCTbJMvU@wod&}2NU&vlr56WwVhqBT3oN0L7qSK-1ZnFecDJ`pwiy{_q53$
z@a2CC5uJw}yZ=cG2pL@E8ZZDe9}Y>%IV^({K%pv3z-`*b%F2oe1r5NC%fmXB0oy#M
z_UC^fCs$P!-WII0>t7LX>*?2RMPTrS;~f8MBR&wA>cFz@=i?(YoC@WWj<DbIGem@i
zSNnz`<r{?ZHuSp9dou2L2oB9~)ItxUYk-`@@kNV?z?&>}kUj&0>3`Pphr)<I(J?WR
zS~`o+KNEQLP~YLAiFbQo`#cYG9HMWtD5dnF4X%iVGJNQsAy}su?h*?QsJtcSjq985
zL-wB^SOX-uU$F+S%VGw^n;{z?n_N>!jlqdT4xKmwy0z7qf+gwJyRFz-q}7d2Z=@0v
zEjfj?|0dK}4aUQ{rvP0Thk;(Pb=b<!#wK%A!#<MBtUdY3ligq@t9LBgxXVgrX!`n>
zg%7w=D7_7<YlK2*<kBB2UR&+3R$nSEg(7yxHYkpP%vcgU19C`$>Sx5ZFH+q2GrE9|
zFu$-WEk9Tlo&OoDGRCXfxH>LR+z&8ms2|mqQ`h}-UCpNX-=jlLm^_i^b<9xWQq`(@
zy&8B!Pf+PMrmFR(o>0^Y4jvODLOcG9>DjyJL{HR+MEwQcyg6^@VKV@FTORnspiBXE
zPeG+1bvC1nOi4p-;2DZ@9edOCo!}<r_$LWaGC>yHD!}T>Q)NTuKta*u&c2yK0eOX>
zQlIh#^lWW}q<733R9;jckk|c$(X}pm<iunMz|_jd%;KfmRhF-s<&~BGa2BxSbl&aY
zP$W(1;EkKd|KudNL-DFjAo6dHbCXbfORkk3s_us~CT)eGy#l=Sz;K|1;fkOusfvx?
z8+zO{gF1DCJT6iF@vctPG8oCcyu2z;kFuiXBb1}SmO<Y}f9P<*0ef4-$<#Cj;Lh;W
zt1N+6{HlLuF@~JmfF%SI|1csZfLra?&u%gX*20&z4LFRkc0tmEfw5#%=i&dx`rqL=
zjDyLMRZ|NA@CEqdG^#8IfQ^)2(359_Qy8&_&fKU5suu^jlFGX53<oUWc|%}OkbMa<
zpteGnja}2P6dL9^hB~8yw-NfJFaVc9qN;-~TD(S7HK(ws=#wndHncVpfc*f?5D}Az
zFb1fpm>1}s-)I7jO%Y98IN$vg8JjY1f7}hNwuT^?LoG;eoRL*G1=le8D&f&iTUmVI
z9WM=jHq~q=24C!xM>~nlzmSF-Ui>h*xFUy+goPd4jo-$<nTTl{G$m}(-O3Tt+_3I_
zgSu4G1u-FD3*Pwl7n4f_mC~Q2fX>{Zj02?73k<3j|Feh2{>+Bp<L-Ey%yZ_ORIOUb
zmCoJof7)nfeX%O=ugonqKS9Ck`W=)wRQ@hS-#T=Nbn3yYf6#SEcl^r@WBx^-ZS%17
zKPBcN<IX3Xek7jI9^g8N5_DF|KNDOwlYBYKUCzQk`gFqs@1nbPYy%#^Jp2#(cK;n7
zfamz%H3R=Yx#-_@7$+DU1lW%(B$ifIz<@<?x7)uTwBNAH7?$P`8&rwe#VZw)MDRZ#
zVL@jNYykv=6w+K_)=wBX2LG<DxT$1!pkA0XxZnIroo1loirO`&RttI-*F(<@sP~f^
zoOBw?6#?{Z<Ai8Q^hM$EM>S;~d;h7fQ5#pfygXfne2b_nOAUJ!zpOzxN-XrM!dONj
z;-P2-|HXoKujn|2ns-36Kb0y{0RS+=mQZmt+=y?4;~gbSsO@89WTYcBE4P6XKSSy-
ztC@H2ZWe%=ND6-YH{doOu9Tz29zT8@dheotSzcLb6WrLy?vpv0q=Q^;FzVY6#-MnW
zh=;1K8ed7l1TY!c#h%7O_qJ6UEOgkt>gS@6qLu(2KIoOBiQ0mL_eQ*ABgZ-R3bYC!
zPiYeX?y!_13IMG4z!4WKXfcER0QgeWmInDcz{T{p9lkAw9rgZAH_d2p@BN1l6&(3#
zX`>aodSH?`Oqw}BoqAJdC*AO&sLT?&xBF3neI*!~@8MWr<mXpI#&zhjNrZZOBdBU~
z1cMDKnB-N@{})ynsF~8BUIm{~IXE>z)zc2GME##?W5mGA0r^q1=+ZLpS7WHzL$eQj
z^Dr_9G2#negFBTlxG3U%q+B<t4k|GJpltl6E-w=&?^GO=L;eRhjKb(Km`E`C_-Qx}
z(m^kXd@Bc!D#4{2sBI*0zTm$YX~+dqiva5?3S_GK!Db)rKZ+K=sgy#3&2DCtnq&X!
zlux7t7J||z8idY_+8#)erQy(G0U8A+Grm^vPi?&A<i7v5jrZkpAU%+S6FGw6$O`p>
zRzsg^;&@T3X*g2Vo5jS${J?<9Wzvk4EYw6Prhok3>*I|HaROcn_;Cf036HR9B%?hE
z{luZ!JBy%E0}}!dpP!%dTFuSPh4fhgDHOqTv~+Y((O3qh6W5@CIS<Y{PSDR7`laf&
z^VbH-hXWG<nXRp%5L9XaDa3?@SaWmKbfbd)(mhMYj2R-40Hv7FIxP{F8pAIo)G`th
zUSN)b9*O5f)_{<Lgj^qXBn9|e%)*SJwTs}w_e1EepbSNRcIn@#-<u2W-$-gBR&xuT
z?EkKrb`g_m)(zlx(629mMkdn?OVG|j0<8sTO&<r8X9D=@K?DToQ3rY?>SzPlJERWj
zL+C61#6PLJ`$J=qUodE&W5@~8k7AZ}p>+odlwl%V!99wk`KcUI!<+3PFE0GTa(kBi
zIq9`&-xl!8nZ~ghPQOg3%vg699IR9QckH(7xA9Ms@gKnA63v@GoxVL2KT=*uz-WGv
zog#(=Nv@gB<Y#w&Q2Y9{(7b1w?Pc<=|IgOa-~5IS<ma_N?VFIQXKwoKZ%v2dT)`Ey
zEwLL39ERxe-!qr|>t7>s|2=}Tz%a(d#jV9!96WT$@6{_M$@I+y)R{Zh9eL2L6aD%I
z_vZBp@yRf0;ez)XfhBaKV|=`H6xh}3zsYVXXaH??27F=qAVea+9~^rI8+ElwQz1Zb
z!cU?$`Jlt2X8ovZA)Me!P(I6oToQfIY#v(JU4nS02+Uwg(V`(z5kLa%pPI#Z+kO9h
z0R2(~2p6^J7ho(eJHw_*5DQ>Iq#g8*RUUMxr>}kkrZmJlLuvN^YwcQtnmp5}m##b3
z?y}VutqN?rh%0Ecic}+)jtUsCK|lf%4A@d3+^gI{K<%j0)?k}8LxDyFgg^o!<sz3w
ztX;*5P;-L~C=nHuOGG3D1xfZiv_G~p?e5IZ{$mIvU%t!xocBEEoQFs6ga$mQI4MX)
z!LoO^BZY=ov9=VI?d|75nKKDQP7C$M=~0?z!ALLlJ2!Swu~-m;o(A>uNMiXIIf<R*
zQotwD0U<awG{np7DR+IdUf7#yN+-D^TCmcp%<!Lb7MlTf8evDU$MhAl3#Ss%42Km6
zMqkFGmjo~H(}8LYiAQB#`OcK{fGQypi_`!3<khE^Xj&){qB8;O*Kls+1^Hun5p~1Y
zL32#=4L}6&IttiFPb6Xgh^VTjjXAp;5%5S^J0uIi!V0q3c%HZcj!ZqcGU84CVeq0w
zFy)~X?mb|IU+gQd*;#~(NCHC;9(4B6@n<Q1*-$~^dep<5dA(sccA6JLUhs^zeIoKd
zQzQ{ob<W`N<#Hn;nE3E;U=MXke`UVemTnr50_BJl+etbBU})CUqJ0h&K?YIkshGyl
z(cV5c=pJ>+u`sHN+|48gpto??1yhI0B;;vxk7nVjE+gQDSGKAP;|E3?$e@ki)F4?7
zlD>qj5M0iBiaw-BA84w<IdrYgKkO6k^3xZMvJPwcJ_KjA5hp7_?dM+xe>;7`UJl2G
zMP|f|$tEpAhC3RkhGY}Kfo&gEZ4to8WRGkjV%!m)b)5F_#EIH*%1ia#Acs@?jxSZg
zW<t^x1fi<ve8bITd=W++6}lqvn5koj0!pDDY<5TNlymuSCSCv(kL6vM`;DM`Iv-w&
z#?F>MUDQM&pRoWLIOM(GYLN!aOPM1$t<2h<mJGezU2NQOfrg(zXAGje2o5^q^`;~5
z6|#S<ht!A%TO5+P@~C5t{VddzZF07_u)tdu_H}zG<!B(Tl4!79Lh$ILd<jQ>yVTDg
z8B+=%1On{H+;bKg3OGlvyYn?Ss3AoP6#&~t=;PH8Jkb3&1(Qnoty{Yh>7Ka<Y~4hY
zc7{#h7nj%`CBO9r0#Y-de{ZFS7?~$wixnW*Hv=T&fIKNbFfg{cKi&xfYT~MK7g3l$
zi5_?<{UXZlg5NQ)e<f5}QkXFVvU!O)^eUp7{qi%W%G^#ZE6C3@Hgrt3(9j&8?c0yR
z=0sz2h8>;vh{l@@ckpOc+_|$aVNh|c|Mgs8U;O0iVtQE(Y3M_~30TvjHKPKLqR==Q
zHfPUU(8z;AV4Li`C45I!M1MJ8N@dVG7LrvGYJ6q<wW^`F5V78jOoL)t#GtM^D4M~H
zn>kVZH?Rx11P4tw1~5e<@-)*zhmKZVU`)d`^QB9}hBeg^9Z0-{m39n99p#I3;>HgI
z4rxcP3WQ%2v}|=SYqlj0sn)n_5wH~qT9hKk%Sf=4Wq@Viw)u(`k<)nZ*y@0_Sq3O`
zzf05{$kxzDLS!DF>xHnbD1vi3h@X-gPh#cjhCD6W%<<_F-!ys=OPowS+4q&ZWfdLl
zWn4#((@9V6XgV*&YPo{nsTS1wH$Xq#L+^<X_^`OO1+$w1(U{O-8&;-&4lEn;g+NdX
zVAg>{k3ww9MS3elk_LpEiaoPu&j3>WKN1ft8g&zM)~{aOnutfDhZ55yDLxWDUnQ+Z
z|3een@lALdoLW)T+R~Ne#e7R|1fVyfI?Z+6QN%Gl!jf4BinoV^BXKlmWu1dVXB|Ao
zlFPK32ZU>G&~1+G*|y7u@o^=RL@|s@RT=C;^5Cox@N)D>(s&_wCOm}?<bz1FycPZ;
zh4^JG)$l4yCgTo6yDU5pY2Vg$pPmLJL)VlyaOqIL2YGRE`!*vg-bWGw`b$X>JJd5l
z^DUt<b2<fgyvWjQ;X-e8gv8euNaHSdooyOPShjev&)~tdrgZ08omYAhQ&lD-0ShXm
zKQ20&H;?VThTaey=Q=&WqEBPEW|K_dzrxg)d<dcS2#R4&6mjGMrRq&9yhFpnB7tB1
zoXun0E9MDK3zC;>G@}P=sz>h!YG|I5hY*`^qKXk0G^_b>**}6)vxY@kW-FuNRi*h~
zjHZ!|*+%*vnZ|J|Ngb}DhY-Seimu6yL&EaMwcOfRtut1)GHK5%ubu3kPw{o3wcO2c
zh`}7|ed%su9&+fO<+Z*tG`}|04RgRSwqX?>V?1gV0ae?{^id0vxjko-<mR8}^Z)uN
zts(|`O_b0QB=CJG@pqWB0n<m^IGW&~k(RNtk*{a&`WcqKlYQn4b&*9`(WbZK46%j8
znT}`+T^D87VHsm7h<)pK+NB^%fK!ktH=~C}&R~cVQ}Bnqj}BKlC29P3_)p|Tr!~!_
z`S%$8D!yG{J*1ENl|HJc)$F-X2zAI)lff9{&?0*O-hi<aE<@yCMSP>pXI$3@Tk|8;
znAr2|;SU7VXC}45vN(bZuX9uDK}=FzO<n8aqLsHY5XOq#nXJYH4$saam|5L~0Uk3M
z!|^;acrvSt?*BV$D>B-c@uSWLr9Ghndw$b;>&jEjcY~A^^a7I~`8#17sCUc=(YmUg
z8J{qcJ;hvfsK@@XWD4O<w2c1Tn4LO-?{fBLU_|XkgJ9K<y~&?)k4v6C<WjDqs<YD6
zq=bTQ8e<`Vmb{^XD8q7v{JE2`3U%R3BCyy2@`RR^yhA^%%Blk_q$ogIJ_cJr31mB@
z?dJzegSCyn@RFMCx29u<hSD3*jI??9FQx?&qttNzK(=4Jh*5t<-itM^wJNxJw8SI*
z!M<lFm`>X+?)LCd0OADqZ>ul$O}33KRZAZZ40udwKi~Wr_xK|m`2;N807iB*t(Ht1
z8=DC51wbTcc2>-Dd!IkphiGtHR_?nYCs6x!d}O(Pi9%sVUZ>^uH{>yyePbAk=7qDj
zr5iKsiXmidIHjeuCPXu%*sD<?cv%SiZd6!p5l!^K!vcr;Jyq{-#x7cojvRYCB~{nZ
z_VGp<wFaxK8nt>TegxhcKfpiI3rG^Dy9gV?UT>kJEC4c6K>E=d{OZxT@07zT<F4mO
ziYkYtg9U+_i}bGj5hgB_o_iObkmA#_vyLe~SRt~lCv-hsa(2a4-;_fY3t)PJ+Dv4O
z1Abu%EtBuf#S_v#mf=O{&e8HoAL5e8<UuGAI9CCuyac!-0%1y&-b=P43k%(2oTWX~
zUq=W!<pac{Ck;o;uKaXE4$NnI_%^o)ppB`dC^5j(d@Pv^%**pcQ3A}QI4+O^=TY~<
z2NlKYj&W3Sh<q^V>pZ7CppQTKUpL{UQ!^!VC$1<Xy@ckBeWh3n+=LkL;==46X;}k~
zL56bP_c$NBc$n-X0R{+X(xR*TXVng(I)ESIfu@-PE%F@+)e{4Vsz6W-g?0^Cc9Pm*
zo=w<$EyG9B9Gls{(ueOL_DeaiP_@SKD@oT75{wD!5u`vqIE{7yhd==HO>=WZvc{0O
zTp6IUr9Y0~?UB9z;GG)%C&<qvOBboB5F$hdWk?m22eNr3BsBu6NScj-C38F;`A#fb
zQULfsa<MG&ax9?O=$H4t>{zQbA%I^`(VVos!E;0XOj1N5OB&uK;|G(s|3jALOi9(z
zxN9pSMiFZ74Ns4658gp+8Mbv>&1+Db!v9x<H64I;5PEkG_HJm57Q**ryJ5ra{^byb
zpF)YBb?s6M7NsGkzHb3-b#R>1AB_J#;{ISl?rfmYU-*EA(i$&ZZC^f1e051mYDEwb
z_)P?nqVOPOpM$607Gh|WK#IzQws=UNT)(s8>L&bYC#1{vjK2ZrY&KZ`Oi^6PO8URe
f!2F+R@0+H%Ig-o+=kkYN(jl>2**h<6-+%010`|ab

literal 27855
zcmdSB1yt4R)-{fL?7&7)KopP=P$_9dX#wd5m2T+{6$?a=5NV_viOr_L092$)8b!K0
zH+<{a;7QLt_ulvYkN@}WF&q+`{j29$YpyxxT2F3B3h&=TvWI|xV85uyH5mee?GywA
zTh?~%fS+ikRBFM099Du#R<dTgR<^e+bO<DFS=})<vobcgecDFH!qULZl$nu(@zVLz
z`c_tVEIFB&On!X>qnU*s6NTiqR``(JcSMve2?z*pp?_Nv_~H!+2#mQ!uU(O|3mxlp
zRP)zaTc29kCw%wgHR-+5;@du6nsLv6DfVJ}oNjZz3`3@Wu!%FPs!640o{`a5+=@h|
zRc9tkXC?z@?oHz$Bg2>%{lN-`PZ+{4(;PVSh+}nak}FGc+lSNJJ})}(lJT;otpppT
zdG_6(?$4j7yoqfe+Y0A|UQ8F+7Jk|Il3<ZtKxFev4Z&TzH@+-Q-bJxx<4e0^6qK94
zPe0?n`By#i?mnA8Ec7^dc;ibq#X|y{N0>}1?GNX-q-SKSG&LJnX5qbm#jw5kJ9cE-
z>UPYY#T|ynCigee^_)zQFJ*6xS0HsB?u{a(7_(WLW9M<zB=2EDzqpa?W)`WirJFx>
zYw@cL!+`dT|M4kpp7U^pA?AZ_7V82_PyAD%=&f4|j}RT+JooH7dex!LLk;oT8FH)(
zay<iEx7|NR=JMq2+qWleJA_F0Z+wQ=@aLcgItB)rJ9p^S9Sr=pZrw^r9PFqv$z`LQ
zst^zun3$a{vg1Bw5Q&M^<_&f`J~}%jyXSyuESpJ`_JxDIZyoR5i}CSM;53iAp`#N|
zX>FXH!SNC;LIQ%w2bn4inMz4Vj~~B6@Pzu-g%j`<qi3vGQ&W={8{_6P;osYL*}Z?1
z;R}Dmol}xp7?qPI*MB{lx4MtMnAiGTIWt9Fl#+?f*m)XxY2|=6!C#VXt&FyxSQ6Tc
zKU7cUE{eL_Dcy=O+ea2g?34qtQk}28CKDY_i%D){?fr~@6TuydT+)*aZ<n0~gXh-B
z0tsY%p9RVrG_N>jyJ$)?SM9^Ui(l;eX#7s{!fvBp*QGuiD(d-$N+zbcHpi#rt|8^#
zB~?bfEf2zc^lcPE)b}<|q-WK<l{%oWkIm@_#^2Xc!Tt}=-{sF#*ICaGeVMw1!%dL0
z)IF^|=nj9wwO6duhJUT`qGhbjasMQ<&#@BBwD`l;MqLxOt*>J5R_SH+``GwC>ux+;
z(x^xE5q^g@Li}6o%83qmcs+Yom+r!vmluC`#~Jr)Sw=*MIudXjXO3HHxRODySez6q
zu37u?V(;u=bV=$|+m{Sm{r=Atp=0MH{Rih-G#g$pL=1n)(Au+mw{*PZMG{^ocWTMP
z`0546$u}z)%YneQY=eS!Oniik7zc;ZT(j!LNM<FYZH}UX!eD^ni=l{hwRpdCQZ$_T
ze&dBRM8l1=am@=HPPzQ_3WZUrsxwyKu03JQ`+j);i3=hn%T3zWqjo{6>r#B3ku4gI
zg59pJ{9nI*6}w(|MK+#SZa}5b>)_$4G<cjC?_Fs#FGdf<9h`e++UcH!--xB_90xpb
zv=vt}YMvFh#oznT*yxCHUKwzhD6;kUxuC?}apAgewqA{C(dzVJ>oJE|7u?8D_1dEY
zq>bsWJc4Cqg2PS8*oXUw<2*c=m%l!mz*zK6&ph-A&uldgW;J@4W7eHy+L>?k{_%58
z>m<3LpuN_(Ih>(WRg30C^I3211ZKTz{mC8*k0(#+o}U%=4+)7bEM!p0{C-SO*w$jc
z=A&{lx>0aNBpjENsb$@Bj9X*Ymm+q`sjH_(Mn(#$%Q_zth-%$_V!s1rqN7*$>?z%S
z6V2ap?ruX5t*6pyEb_~}d*ntu9Qk@RMyz*wZW4P5@l3r}i;cwz)Ns!@mQ`q`PEOvb
z3R`i9jUMhWZ1BL{ol|q6pc}_`jEHE6y~JKETDW`sQvXzM1&Q<ik!IZ0cC4Aaz}uU+
zDQ{N=ettK~p=vJIS5NmXls4SX7)*?Jp%1A_)2Y;uH8v(3z@!(qB|ahxP8o>MjO1IJ
zs_~6!h_9S2SzkGaF>Dg6e35!%pjw?$bfKG1Vts~>aIj#)!?1&+^(d^*GnDF0lIX#h
ztk~|9eGFIDFI!@bk8!0$i)~jjwr^jro9?SLEVLO2E2%BLd!I^FT6&DtasCv~{Fm#v
zaa+sAVrR!=M^}Xj`M6~}3pD$js=|2+=Bn5o8w+g7v9L$muoJa|MoQRma^IMh3D;6$
zelZ!WX(y|Nc4l*$b4~1ee^taVY`IS#UVb~wFII2eGN*9++y3R*2G^n4p-T@Q3G4Tk
z@8@)0&Mx;}&trD;k0~wX@3igS7R<&FUDqO~2^;gGZ<=BJtIoEZ#hqXA%dUqIJ(n%p
zb{Kqp``KZR^pf_=@@GX?CyG~cC=F^OBjARf%bjg4STGWmSzp`j#Z|{S+Fc@*s)CVG
zQzOJ0wW!+`sqR{uYgvCmNy_Q3*~?h#>wCM^m<_ksOEEWSj+vk6J|{ZdG~$3QZc(#L
z6`yQvg!>uw%ZdFA->~%f{k+KK%11N*@Z>|Ts~^mJ$1Msp6cnh3Myo%@Su9&Ar*fTd
z&wgTM#2g|e>T6+XIecp2a}aa&RL!%d@>D5!=qlLaM!z98x*x&R(}$1zs1aMp+-TNJ
zW0E|*aw;2cVtq}tMZHD!)~&DAyoU}^i^|;kI<=$3yH4NVYQEL$?%lMDA!omHE85w)
zONMhx_bNdM$;EK=uZ(87HrKeYeJ`BZP3XN?lF`xq&JdH7J*(~aFm2!xTV=sU7L8Pf
z-J9x}PIh#qf{!;<tK!-4*GJ@a*#?A(kv)7WuX~gOc@;G~Wqq?v+6VT#koyf8`zXuF
z4c41xwT5DaB9a{!lCAnb6FaYrv75FOFB?8mZEsT4JS*B(<fvHG-)q<3m!>|hHP(eQ
zQ%-Gm@ao<FBdHUikTK?JQE3h9GMv;IBSm(!z-Fvq`MaMti__vRFA`P-+m0#A{bbzN
z$X#Bhc63-*yG%{-93ywd*o?2rOq4|Qu}M1Hh|CX~vwiqny;d5F^I}&R`tW=!cI~V%
zwYcxvbRd!X);HUB&X2q!%<5bwB)%j^%4yXYVwToi9j2MDj#WCpJe(XhFiRc>`xn<s
zJ~2}J$|=yL@<owd*PNZ-8&hn1i1m)Dl!OoGU03&=*e6q9LtUc&7wF&+m!B_IRwmq-
zGp4g=&vaK7aVndmClAg1W}fkQHXajVR*Y$OvF#3vL-$y*Bwv-ffy!YF!yd|YOe*y9
ztL*IENeKzH(|yU-OMP{|G32h?F`DZRnI0Z{tUIk+k|FfS%ge`-yDVy~%sVHKj(Ugn
zo}-?Zo#=9&eY@AyJSV{aC_U?(WKdN+i}r^L5c}%cyGQE?`A*dyQ?zP;>m5$TcD3jP
zsxuCa9{5PiOx8F*rrMOMYD-1A??tPV7`gN8tF)5hh#cc3IX~*ocukyP<_ypLI8KFG
zk2j{iUS@8rT~kq`Rei^OtJy*6u{O-rK(%_6WW|!P(FngR1t~t9|J!%(tb4uK>Cc=I
zP|Yz0*z(xJ)AQ)jqcJ7xovbX7Bw9M<6|EJOm90}T!wCb+JwclYkBCF_GEELzam7x`
zsVx;=1+r2+bGdZ%^mFlixGsn&dW44d-=5?JU+irO=33azpiy}J?%lf{Pli$yHSE<<
zPOS=Ihf7?GQ%HT=m?-<yWvOy@rkeIrX6kVUl_(;OMNO0T7x7Fb`))+=;<BxVlHukD
zcG@tJKro;AEKoH4NprTwHLan0eeEG*NueL4DPqW+LaI4V!}DaY@aBe-T^oj*=;vDX
zLgpr1U1K97PYViST6`$pvD|(y61ax#;)FDF2z@Tbw3F{B8QH7%?@zK=4__6NlH!>N
zE(BEKvK&I>lJ(0U(dmukaD${UpVGX-j3d5!zv9~;fq{VF_n?`?>OxhTdVzmXP$DUp
z&4=3=G;C}N1_lOVl9KcKq2IpUW>C+UJIQ8T3&{}RTpYaD@bk-y!I#aW#5Fz3qHMdJ
z70rs~UQEx-$SW%+Rx%b`fA?^ILyV~3(PPJ&d}8sDjeubClK0gQg@xQY+S)XiFDuc~
z((WN7R5UeBi<62-ix&2#<H4<-+bLS#Rpb~D9-bx}FKIAX`-+6aBIZ+NrFBo~7U$`Y
z=S(TS&ki*NgoGqBs^`;CQ3<|z^QJA&GG4=FNvCLiZROLaPiG$gLJ%6*q}x(`Pv%&F
ze4_fb*ABv11-H7|js|>)D(RQrWssr7qE~&2c;60)-(pi!Q@$|<4RHpmi&HAOcU}oS
zJC!&%ILKK+OHbdhjgb4asKd$_wkcYe5WB$9g6<WZfJTvn!Q61uo;`akG(y<T!WGig
z64|?*WC?i}BhOWCAyCt9o}jP4H@9M4nDVK$nfHv6H>I^=z5H0Pxh@_DbaOjUYinqP
zA0Xw7k&YJP*d`)+Dd>9eB^{5X<m7;W0P8Mug>;S7caI21o(q$i?>$XLd!d%~ByOsL
zoJ#cmPC}dAr>P7UC%^i}962XxmwA++bo=YJ(dBOye#>_z%$=utMU_qF`@`$)QvoC^
zPfVD@`-cE1>lT#=k1QNxZNOvX(sldnBNijgslGAq-(SNTJ<Bm^&k3^)9UV1>yW@3=
zL#Eqxy@<`MD+L0Fx_w^&$tCT__wL_UU$&j-Quoc)sXWfJ*mIxp%J*{-PG>|(SoD3)
ziEklb@nIUL&Tbo3dF|pF=6u}6g8ym(rmxu;UHRlzZ-EbR0b;)SRzu%x80hH4Zr!@|
zsir2~@@Y~Mo%2Gct;f@+jh_PO1A>BRL#p}<$&MU}F7qU!XJo8yJx)Xv?>JGUNUxA`
zLrl!WH23R{?c28-3{;0LFOQ_pjcBf`oE3UHsZA@ngAb?NkiqDR;;U1tLW`@d4f|Iq
z4x1xu=Ce&=9wzozzQY>9lKSvje^yHj+a5dIvQ!@zbkxZsy@~ElMijn^b9h*DBv@5l
z^M1IKv%^t=7XbmHoQ^Bj5@*hw(Pj%7ITf9qEvJwye@-gA(UYk-L73cGPOJRs^RnA@
zC(R091!_2m!b+Bxlzb*2AP}1FxH?tQlqh=+Hzeg+4;L6V29LJ|YJky?m(;RNRA*FH
zAC#mMP7)R0NQP>|b*-gYCH*8NZb`Fy<k?+y)eh6QpVmW@H2I=Yyj)#ps&#UDrLYBx
z&h$uyk@%=60V*n??Z2EjdSb9ncFt`_R_ne?BsDHYtO}_PPMq@(EJhu&RZ_(yB&<0k
zRv<4o6Y{M_hK8O>RmDoeX`2`Ke>@k_*oHBhdw)b~u>7Q%T(UyyY#EW};81)-bB*ho
zWzl?_5#Z~<iWyp{le?zLb^0&f|2j(aq$CZUwp?;MVOZnydJmQKb}CZZ)LK5<wfM3z
z>U|t~6}Y8k2ne`J7PU~PM1{Ma#Q37RiMgps9-w)q%2=k-@WO;jkAQNjjow2=#Z=DW
zJYMcS6lc$zp-gP<e5RwLW7wH*9i|mp;CYFb_T!j?jEt{^g+;dGf~nrFrTKO<qpDz5
z2e`$ox8DAu*Zu11qok{k4v;YGK3!WK;4@m9?h8LJ?5mBfOfMN)T3IG={kj*UVin#V
zR5R96-(1g?k7*PBrNv&{1^@)a3{!JU;mU7&F?-xpwmWUdsPH*GtL-33R^Vx?XvY{S
ziY86vc|UmYfR2eNeaim%z@EK(WuXY66b)3fc+zeytg53En`P2l?&TZf?*0pQjmKg3
z2JAD8p7#p#CjtVmc=c<OOI-G~>9m`bLYOnYPB1;Y6YUb$uhP3(OI%$=>*FLsI?_1W
zPB{->y3@liTEB)HKNrB+78M;GW&(w^Z;Y?+VeA?tbA))?pR^IUmG^y-P$H@@efxrD
zD9OgbX12-HXz=Eqx~%AQ(~NVDs1DIrVJaz<d-4P~+ZWhgG*3pzYgcmk$cnwm>gXt;
z|I05@t*zvCV?5k_(z`hHYfqQGf3FWKuC2f}J*(50&FG^q6-2&zs42t7D!j>C?rz)J
zVcKoeAyZ`BdMS)^uKV3qxF49?WqY8u34Eu!JUet&R3+akF)2ySEVlCVXaBO>iROWn
z1d&sV?@Zr9%|3)%Ih_4HO(Qt4<Er@haO}dR9S8YQz-IXJ{OqFuI3s4=)%?8pdwYB8
zm?^ex+s10vg-<4|tn$Al6F4arqvrG0!;K$XUBAA4012Ufb!mpxwBxd#V+5}=i$Ogl
zgJv<5Pu|UwU*G9uD9u7VP0r0#V%Gf(z((!sD4+SaYp~RYvTAr67_c2t6jvY8u&~H!
zx-7-ojJ3sn_#ncwI{D6Pa)^LY680z*`0{cJu{MX^43l=|3+@!v=Y7`c4m^Raeevzh
z3hBr#4Y#_;;){W73oPi__C$S~8v3$r=YdApN*MjRGdg;Dl^cl{icdLM(?u0QJdQcH
zwX~ohql2^gc=G}cFRzB>Ky{M@d*}Chc0fc%%_()6I+f@G=;`Uj*+L`$jMlpEJ^~0q
z&U*AqT|+E^4-g&CRU;cW($B&Z{@oHxup~&@QW@T`qBGg~w0|oxeFwSgz|Fm0{#8fS
zN30`@xeriKB`T(CEJHMP=yHLY^l7+#e~?PL_eu6@ok!a0*Qxz<KfioM%&gn!7)~&p
z0|(J9ns7;In98K9a&RTA`FJ(;i^MKCz#?yS9{=-XQ=c~~%0}dl{Ex+C*mH7EPeVMB
zk*ropRh|iFGh35WRyG5m{m$d5ak9UEotSu~Pu<|!(YJ^~u<f!J?{-=7qNA&(0q~Vp
zkcO3!bxovCPr*&eYP#g96Y{VK{s5Sjn6ttMMyk1lN19cIho&kbEb``?6uB_Qt)9#M
zAv}8y9FQ(?*~Vg`GG;r|HfDo|=;Z5mQacZv@@X=ZZb?%do^P)(YD~CjijxYXYpRd+
z#F+Q)2ndX5MyQu(;d;`HWs4fgQGu<K&Uikkfc$`U+JlHwwY8=utzUO!ALQml)v(t`
zC21Kw0$R}>MzK$iQ86&OTiH#O4Ir|Ggxl`%j(sO$(8VcgEO|n@XSJVZ2`ml@a&3lM
zqMj-+yV-~0YEzs<%rkPnxUqID9V26L^}$RE#9ah2ll#``%gNMB7`8BqX*y-d%f_#X
z0r)q?joB3RS33(J<jrY4oDyP6k_ed6q<uaQ9^V3|-Q-Tl)$5m66rtd1DG5(Ol}xaa
zL!#{jFQ?1u%W$XZi$LMLmTsv(v5Nxd)BC6qvW?8+s&c}_ggVHTfvT^KEH-lGsNFUd
z0<ti;Qi9wS2)zJi%@WiLvev03#VcVEVn@cXEi^nh7f8;czUUE~73YaT_-=_36mQI*
zi><zR{<x=P7@bL@Jt~r?yrn7)F~ds(frI%Y4&t0AS=N9mKmgj(u?on!WN+T(8y`Pn
z@#M$dyLws$!^4I^nwZU&pG-$w&T!pX4c~0TCL_)}H%m+l#%!vB=W;DWpP%)c`*4<F
z;vl)VWQ9;A7FMbd(~6pG^Jx7$v(ZL>)&drX)&Z50^n|?lhsWavxwpi`;|T1$d+T=d
z;mYp9e@@;Ik4www7{(N<ft+A0nw8lPg<oG^y!GIX;w&Ee5eCuvcZ4-oyHCev?Yt-~
zlmnLpu~POCArbIM*YJzr{uSWQWT8fHH|lb6^ishX#tM@K_3Z;tM?)jB(CuoYH~`pT
z&{z}8sCwnfl}{h;6!CCV-11qTC#_8wG1xciK6{qCn=o8|gZ;DH=`D%wy&(}1(M0p{
zV@(>qatgXOIb)qG7(i!D1-22?K`m>zZc*Q~f^i3|5h<5O-252VAZ)Vg9Ds7p>o^yT
z5m9W5rfbz0>v2y(U#r2|E28y74LY0_G5qQU8i_e3omt@{X(Opj#b4S^h#RoD`?%aA
zm-(95RhQbtdnUJ9HIwV5KqFVa^^xj5rBYLah-Z(q0b<P5<eB<Ih2*AI1qFq;goJrk
zGKJp#5XF3B*i6nC6?VbG7T;yS7UA1zs(9<GIRxaCX7id*j<ceW!e-aK8sf@bo<C<T
zF|$15K6_-<XOGkmGOa+56q2Nn{(ctbjm4*S+3zDHKp<Ljc5HwCtR?iMG3Vv26_$e6
zu8H_chSDUO7e?f8y=~0RwFAEJ(@b?m-TM0{M_4tOXcL#5Lypwo58&}oBtIz(kp^w+
z-(QRXA!*vZQ)SoYA#xWN!;_Md>Y?Uk8=QOAkmBjFr!#G=eIZp<bzwZiHwO5$uQp?Y
zb!X8o5?57H%FVYa5?ET|`(VsgP}Cp)_T5>lR-HOJnnmfdvhkY7>xd*EjZQoyu)Nzv
zMDQvVaB36Xfss_UbM=Ma$y6*9nTi50x)B`Kr#R&;nXniCtog5g5jd+uxGOQso9Fbk
zoZ1(*M(Oe8P}us;uFlltg}Iw#D9Opls11y8*^WoOetpNJExWF7j*6-bUzjd03^%C;
zsvl2fP-V;e<(^G}x_BUCnz?Y_;uN2vpx}dWXPfYuoDoY>UbP;Jy$cLj%H;ff6<6Gd
zOrVP@wjYx_a7C=+*%-TBF*)Nkx4Kf3W&XWo(MRBs_b{-@W<yy2q$ItPT98vK(t5p4
z;xhfj2^JdZlEpHf<@Rm`!?*6{`ClL2GHjrhdGMfOu8gRC)>E@1wO~A0X=LR7y?a&_
zq_zfqpZdh4N>rab(Ua=w%IuS!8}AebKGA&0jD=(_q<d8Xg23xIDOY|`QT9aj0vhM3
zGBzMY6IHRvRz0P>fh|voEgu!HIbba;nunq87Q-#?zfoW#4O+#urKO!1AdPvJzH_VF
zwD$SNJUKGaRI-NAAb0YKg=z%C&hp^ml$J`#S_BFAWoh6W3|FPTZ$G`U0twbCrv}|Y
zYbaRFOuSEfjrpOi*1#pWdXmq&9`l|)8N6{4j!KBwL;IV}cu@%enIV)?fPCUzaEGf`
zmRH6@k{}$Xs;`81IZl`$k{mdNeYjD*tJ$~SIbhdtE9VB61~lt4b(n_yq<CdSL=u+g
z$I{_Kl&eA();pF@?%Tn$wkS(-c~Wn==l*$<)=W{oYX4-35E1L)qtONpWHv#12(SZx
zQ|C*?gjmpJh|Shz#}p06JC-<|^Ha(m`0Oa?1bs`CB|hp**6I-RYZuK!d@);j-{16U
z!!R#(E}XG@^yl)qKTur49Z>ML-yl03BX3lW36t!NgWgJ48}2xDs$0w31_a2rs3bpg
zNF%fnSPlYIX8<xuoAQk$v1n-uwv%uew}_rPyk6&Yj3S17&jpgk^qJUI-AxIPVQah=
zo+XDW@#k#CUnM?%&x*t>yk;b{sRY&v5PRuGpG<CQ`^@~N?7bmI#21t<lHaLJbf-_>
zxO?{vKzF~+YEu!r2na;>O9tC_?4YNiNvJE|Z=C%co-Mp;2j9M9k~T1S4zWZIHa2_^
z)vuD-ali!%@=e5`r4<N~hHYw!k=u=$=+u0zmS<_hxRo0}XWcE?yKkSuNb^{zrmYv7
zY4o!VwaiVZB}qP41+yox$?$oVuF?2VsT8qS`FguS`{Iwwbh^gRA4xKmaxn7aoeP^P
z9>L#8nn3h;y*JD<(z}xA@hPd1@r+VYv?_h6zW%tuh6c&PB_I-c=<hYN+QY<E+b=2j
zuVP=(UEgx9GK{<pA`Y`4`#U^UKrnegK%{5u4?4k!PeUOVcm-5dP(OC}t5b{oAkY5c
zW~!BenPs(W`!)eN-~8vN@j7b{yB#&<oh>PB1;<mmHT5C@FZnd-nne-6ie*;t&)x3B
zr}J7Nf7~Ch)RtC&BujJ?E~Ap+3oD0iT4VLSdg|aq_~*f2d3D!rHMgjlUwp#nH<rqz
zu)9y`_RYkIf79wA3OE{~eO6|Ec}jYn0zva9x*Ixh?eszT_|v8OwP!^;M@E^o?ARf@
zNU)s6|Eb%HM+Xn*@{1~B8sNHY+7Gq9IU1!WteJ{rMMRl+y@6Z2^2*P_Oz&<EIVWv$
zRab{Bs#BaKZ(h~NHfmwi(bYAqct)D3bl$_uOI}4K*w@dGha?_q42ZZ*5BHz6`u^b%
z6po2TEorDYrIrjGZ0^?08Va-Rs%tkZNp)VCPlVVDY@8gFEVGNf-avpxQB-bWR095p
zC0kYXkE*B*|64Bx7MXdsgTyHTnE8yI?jMemw1S*=BV=yHBl{-Kg_Li=Eo1)B8xW+p
zO0?10a^HO2K1PP)<YQuzA|@sVV5|Ua3h=FnT)TH~D^$|rLqkJzBzhBFML;*UB+ACK
zSPkB=9%+{7>+9pZ)8lsU-o0$7_5xAq=`i@}(JXKWG>nXryLaz~k84KSSzus1z;|J|
zl38t9-xvru+$;MQcYv_oQjLUlr=U8u(^`U0W_sBI9}d0$XfaT+kw2;~vJwm^m86Sg
zb#=>*SlbkAV<24Lu>&7~9xgW~MN1Wx&rrH&E1k~=xzZZ=<5cA=Aw=X+X0@h(ES4M@
z$q(H2tElLawXb<8Dc7-`HX(F$blFZz7ITAj@5Y?BZc}GBSo=!oT5FVE6emn(e+^(*
zNhNDY6}9Lk5}uNR4$YFGDG5>}`qy4kHnH*2n9r*`@F8LtDrraJZC~aNWS?Fw+B61u
zkqS8Yx51qms(p2pgw@a=WG701CbY6~3GghHm6Zob^?)zrbXt5(X8-*V(z#R#>_@*`
zL<}TudCqb#z{jszSGR((!7X_7JWVPRuC)5a;8~kQ5u+VkTotV+0Mezrum8)JgEm!l
zh^w1<<`)*maQ{st-0$I)iISH7st|c;=~wjWg)&zk?vuXrdSnYZ@D6@JNuhE!GxJia
zW{HOIvs2RTIVP;y9}Zd%*1qx6fzNMD+=Rby2A*NU6yM+6-$^B^o^NGdaQxV@*w?Qw
z^bHKOa0toE2NbW2a|sFw8TNe&`1JX+RhJ}#=*5c{RSNAgzJ2=^YNF|i!%z+ZYo6ct
zLKVX1VBv8f?Sq*0z<f~U7kim_b@l*VMgFR_vs+1|!rd3Z(gGKP)8rc_(&t!o+%#GY
z%O;06W(ZSgD=P=ZWMMU1D52`r&C093C?+nhgHf@b{w`Xy_|4N{woaH;_wxzm^T&&(
z%1=5B#Rj4hxbORS8cND*^{ukmR0dPu%AoFgt>HW;52dj*$fYfz9F{DuYfkFsWyeT3
ztrE^vKBvT(sFtiWI|tx7IC$)t9Y={@Rr0P%3X9XrHT0V8^X1Gr&?HgBHFaGia{IT5
zO~Z$Nipm^~yYaqf>fXQwCMG5_#vAYfNdW3Ixxb%ZG;A6Jpv-+KD_S|8KYtE)4Do7|
zqKGFiw4bqB$1NasYX2SzPfy&;mE0ZgTA2>xdCLU($i86SSutGPi-wG`bz9suQRN27
zJ^W$6ze&${=YT9CK6Hpe6f<sfo}OM7p7+S9-VSwtQBhIT7C&EKbQYZjwp>?5Dpn4V
zaepD^=e!(Fk>|KDzRdLflug0va!B}(i=N(BvVnymR!>-nNNkW8abFcN(WZBgdz2{t
z>TYR@K9~tX%r|Cr)k)p5ij}biNFR9(jWi&~n>d7&lwNXL4Mu`KHRLPKXkIX`pPZ6n
zm4j|LV@tIT3&}AuvhhOsQ&2TzAXynG;wGpv<w?BuWVAwE!HT_!B0Sk8hx$C%^)=rZ
zi4e9tb<1py<wl*J(!0JfxRr$h_+C(0xFy+DRP>2t=;g2V<mlr-RRuOz#%qW))g_FH
z$_<5nlG5md7PXOAkgyLFC&qR{L$9FKxY?IV97#$US{0n_-sF5~z{})z7V`jyC<;)l
z(h5WyJ;z(OUMZv~QAF1zfbiDZ%6qev0ENN`=lLKY$48C9sDz{g%AsaevpMYzhX(;c
z@Z&e83!`b{Khr%nsj9&Hy1F&tsVOPvt0MR`fiAQp9thG4M;f|yt4<(d_#u-lLlTfz
zQ%eEHMSuGHM@C%9@-RJaI<Q2}+8Se;KSYfdwWib514L1U^EeKJ>q8Ole?^2_)R}ds
zgK2M0V~q5s+vm2d-TM{C{kF}}3i_WhQqAl6BWVq)W<{}|KVNsAZ`DI&BxAwoC5dou
zWvG2kZxC!^ywVl!uH8dst8?s3fct*4RQ+&H)qdfk;Bla)geQhxc0aXh{k!0h;P1fF
z&-`Ei?|dk7su2*dxZ|^@XljeetLK?PQ6YDP@V6|I4K#75XTJin6bz~usS;1_K7$8>
z`dh#i<yLc1!M_oNP+wr?1|&uCe_3nw19%ercNRKy3wbM!lh8Wyi-b9kZlTD0AjDSp
z6#wD;>RV4vN2wRs&@wa2a@mafl--s#HcqLpulElP9j&`uR#t`>Vm9M1k!OXU(VRbj
z9p2mY@}d@t`M39+nk(P^q=voNyL>32umw+v^nT?%1mxPxg2|ND(Lk|b7Iq^7^M{Ry
z05f&j{c~ldtdP({U_=6ZeWO5=@9Xb3go=#QVK$+@p<#rz`d`Y8)(?F^+G|Ei4kSPD
z$2sQzLf}%W>p`u(fmDU<jtZ!pKVB8YEDWFqV!DizQz4}R*r`bPTndjfswF^HrsK>X
zzZnS-gphj@j5%Z2ZUt{Lo{p|~Hr*`c65N;>tHpPbu*>EGs#w!G?af_65d2cO2AzKc
z$QUe!jWmcxqV^M&jk_)lTRt;0vzn_K*kkL($y+?rAI_R?iJ{!SqdDA*7dP90gnuX?
zhdwrL0Dl6OBi=RwoHnG?)YSP9Fab7<74~Wa>3s8o{`U{hm)BM%F!nRL^1uszqEBxG
z^6}`YQ);~<&FPxy5SbX1Uh~7>%xMqfA0))JC;tID@UPOf)bNI&`>o6qs`Y{Cd=M=4
zt3x?RF5Y$*@*?T`m_4F>fu-#RgNK&-T0U>7=8sT-Oq6#aTwQfGZ1Urrr*Vhe=4Ukz
zq~*11*MM6AEMj1gn4*vjR+U5|O($vK2NKGk5}yTGn!U^JDpS#{Z=7UU5-42Ypt`Kd
zZac0fuc$bZ7#}{Z{b`^n$E3<=ifFC)XNS~kN~(z0(xj<K6HabQYHXAXY{&*cc?&oB
zj_}jRk9GOhBP@V9MD@(NtKnNv3z8EO5`@B}%rlg29HS4ko;k5kuS8@M;%uZ$bS<ca
z-axR<uy}-krjki5Ag%oLsS!Srv*NNXkq*dO?Q=0PlmKA#7sfkLjessN&vL-<%j;Vt
zTsA4^8d8Z0)Ln2AHQg;c7x(_&nTqb+1|Au0!z5GE^6_Z`E8$g%dHYrXR&X-V`qs}5
zfsPNl^C0Lq`QLrTJJPt?z#2g%3aGH|qu)8qt#>=H1J^h&A1Jd2HCA16Y@=c&s9gm;
zZe?L2Jytx>upv%DOjOi7FUO#PS}$UT`0|}d;5B&0x=S>99Otd_a$MJ4L}je3vMGn^
z#hIEGr+SS}4QQ?}2Lec7g%$na;lpA0#hf<Bk5%Oct19x!{i7iFVvJgb;nS?gIaxxg
zR5G=nK((P}8pP|en)_Kds|{;5VR3REw2oPLlR;~y4tN@KEf=)@kfxP=fprTU0;wU*
zoOhwa(i<Jvaeh?DRbex`xRoQ|bmByU{Y*dY*|S#xy1^w$+u7xUze@hbjY#DzT_}7c
ztJn4tG0G_@yy&lqNH^~-=V)J<9f}t9qc#B8M#AHe{g9BH5f+^{-<lGHvEYkZ57TnL
zd6cVCZCsk0Ztwpry$)q>-lOarI|^{$cs*f@&uf)C2mNDSzh(SBZ!-$Go!oSW{m}sO
zzYy{_PVV=vlK)>m^llZ;#--kI5wg6Ca)Ji-fzT&i57W2ATljICPVd^cKy!GgS>NB+
z{7Gfy%MYG{-}C+07yN}}-zoR-<wSlACHj#L+T8?IPyTn{Lga%iI32QsGI~e}Gk*0P
zu?~~hZ(2%i+`z^vT@MA(VIg9AF~f-?B(x#4`MdSD6U+&35L<49uY;m?6K`2OZ(6ar
zA^*nH&N>+61Ku|oUEMgF(JvIRGQWILij9q><=|+IHU|$C#%f5$<jd<Ts0;*{m~S(d
zbWy8Z|J(Z~)h;^;$xti;-ZFv?q6b(T<e*Xv@bQU+(2xvCYQOU4(cP$f%y$Jrk^l7R
zzU@1A(t{xf*#A#eRZZa1K}C6Ne0+;hXp!Rr9S@IsykuBC6vrsrK_D6_y}J#pc~WWu
z9|j^^HCkI+fh}o*{GRam@h;>60l)9UEEG_~>8`ls<%NlfA?SI)zgV{1?=;1>V6&j4
z1rJ&hh`ENqS9o}P2T}%A>3Wg#X@Kgq41xL>srrI}Iw%kMV>#_|P!;!81||!8lbKE&
zIkDL7Gz*N2G~{BdxhBPeSuiZFAxSd<RYmZ%bhl0}4c(>WwTLa<w=Rf`wFRx(;Oo_&
z2lLtM$le4JtVpzwm&FbrU+qglEIOZ#Lc#%gcBHU3MWaaN5g|G97=Js?FJ^)KI~}>^
zD09cg#3Vo=)mGwKA|@ur4ZsHfa-;rMH}(bYcmO5Uf0Vf=IFRgSLCCnd^RxGnQQ5+C
z^{2ERsxKQ;k(2X>)&T#A2+e^Lz}_s67fc)_CQb~XSEK`M#uid#&qGZu<VnP&pr+Pg
zKad5i7O0R?;O0(6K5wZP-ymTR>M(@=f10oxIiEp!mZF@c4fOwDw6{a%J|dI$=80l!
z&Ay4Bb!D(9q_QpXeEx?rob?%i$5-I@8bWjl@{{@a)b=bLC0ZG{e`o*0EKSP41tE3u
z|E3{joaE|<PoKniCQG+1gE|BHuC_$br7}ON+>G|VmhRbA=bx>l@+5gsDaTRXZd&Z9
z*vQx|i-jL75nTvg7GJqu%TuH#;0`lw0Wu4*941|b%0S?ulyj~D?;HWrdf!HxW)cM?
z>etRH91<<1zT?0t8d0>u;Cofb%Hoco`jFZ6Y(bv@R3FjoDb!Qrs>?z|^Lnxyvvx6f
zZ?K~W{3!Q>ofX&o9}}}Y0A1i@^q7=0uYq2PKuOj*@NPP6Ax+@#4s3sY?)uBfg)T>_
z$`=d`V6_M<Am96|Bc#)5rmA}Fnd)nHFqWY-3Qw6RQx}d^q63GwXxe{CsdIwP{Pj-v
z1VH!3af2!=Xh(Q`j6Qhj!i5_%{Z$Cp%gD<9hU-CF;m^{ol7TQ2iX#H({kxJnXJM#8
z*pFJG9;#|qhgtpo<h*L2d6K)XW<W4x)hgeINQvq-Dc+?R<aJ9(pn34<5j`_=gNZ4&
z+ohlqd1lm}LPoJh8~e2aXk7xkc1OO!yC=j9i%j==eRtePQ2GEcBjKsbHvnceM+tiR
z12wl1e5*n^WIulVI7g;8KZ=iZN%G150RdD%+$}EJRfTaWvUghfiFe<-mxbMT?D+BF
z2SgeP=7r!#2euln+$}JpmxQ49;J?cL_nDduZ+<Ol(ydAz7_<GBc1k%a&Ey{O7Kw^L
z!=}I~=N&{In_wEPW6sT{9pHldrtq0>u8jE|y2~QSQe7%;r+Wf@w-cXiG`@bMtwP_f
zo}>Wq<VK$H*GvXK#<x4IdQ=@v^=<Ux_C)d^!yfz}L}cJ|mz|eZ#oSW(Qspxvg3`QA
zlrUEg-|=7FxKaY{xA2`?{N*3#x7nhV-s6uJ2*H7lXCQ<W-qU-Cg4><bsJ%<$-R7C&
ze}~>x3jINw!SBDXWYGuxKZTW!eW@ja@F5-)6x5cX^#~jmU?B>4@gnZ~cWv)-T1Lj^
z`dD#<?nyZ;u7T-t7(xxyOVLk`oXekEpKXvrxWE}V*K+B^zTwuacoZJ?ldvSb0!t_U
z)g!pSZ8ysJ@E5~ic&tVFclQx$D1Ag4;-y*;>pWpTKi-)PmR5tNB>Ca4q5`P!Q3Z>7
zOCp@6pQx^*umCX&i3sIhC*wi$P=}(T1uVnaKyN=hzkTCiZh^$3HU*u2L`vt6cRGxu
zqN*JNMKo*}QD4XmP*EU^4j#rEb#-;t&t$=E&~92FaqQSJuzlw_%np8?=e>J(y)!{s
zMJ4IbSs|L!r}?3wBaPE$ltvVNTKO|ldeLP_Ek_R>`ufpAPEPxU9%TEQ|D5d$k6Z%f
z1pI#W3DVJ_kivtmQ$vIo1VbKp&NwG7qX_Wz-6Jrcc!R#>tF~1{R0V4qCK<*VTQE`F
zj(S=^B(eseGXj1DbPn9=2R5#ofNAEkdq=)CRBsnA){O;6L+x!cKzfdgOBGlK;6@rj
zsYr)pZ3u-Ao*9&vZ;D*7p51&%wH9_x7pneU^8QcdxnlZ)b#~Z<v(fDfcB_XYdXxh3
z&d!a-$Hqs%IK2z<1$U>a;3wUrmFI%F7k<|h$&;uBE^m++pe!y)6TNoL{j;uRn3n&G
z7oWh~^Zlcr!&Dg&O6ABw4z#8NnEPj;1~eFMOoXCZT14c7eRs>$sSh(nW)f{Vsol;a
z#h-px;u=~{3mY`;_l?bj2TM_ZUsEKooTamnQRc@v00MA0CBU}h*Qy;5C|5c%?EQ(0
z*9a3g&v514)pGOlir}~O-_XRskvprxm_&MzZ^UCIPpwHSRK`kNiuXM9qXl#>QC>J=
zdGfM5cX!%5xKyy_=T~2>?yP$0@BiI~hn7~9gM$OQRj|zN+zZa_*#^Dy;e4dn;?X}h
zit6uk+HX((<72(#lgY@hHy~pvE1zq|>(@6xOk(B5PN|`NTKnog<!>bV>V%o!h=ZnZ
z`%)Lt#**Q0fF%R{NF|hjYa~otPMJL8wMG>=rNR0d4t-x&x9)t$*15~J)NRXvv*zYX
zlc?<dU*p7GMpCh#v@Z<-_1sbyEgUumK)Y!qy(Epzq)q?*<3r($cz6>00Eo%bx2`SA
z75a?&<Fs1|YW2BYsI_n2j0EWll@hUWadf|y67pBB+|{iLj)jfGvBIR5djq7jU_RGk
z2pj{(6Akg+)Dpol0PBrr2kQ_C05OkuZBYw|CL@S!`QJR~LvethQ#maA2iZ%Oyi7}Q
zHdN=%iTh?|Wg!6xw^ZY5!^@7BsZ}ohYF1piD+GFKK#VE!L>hsn;3RlovVsimC^F>>
zdLE~R-3SmOBO@c2!!nNfREl?NmL5H{P9PQ#n1X#f?tkm;Wd+8m)2czj6juRZ7Tt)U
z`dEj7Fk4Dd#L6IY3ic`chG0<p{m%e{U~=!jO8DC_9y7NTRV#bMF(gWhW*BA55&M;}
zTzcUb2}U6|h4>q$VpX;?>Tax9{aQ(c?+DgG(f=J~O6dmqlZXM&3`8FKa=p$Sv9*}V
zMJwaYH8S}N7fPkIw@*}U@2KAghM!0H+**6)PA)X#x~+e+L2u38^~b7tagVBg3^2gf
zKLqJ(%v%Xc3%=~eGn^7nk2Gx|AlhUk^ml|N93aSjd54Q_^Pqp@arjdm9x3?xXE222
zxFjl&`8{v`;Znb|+=5RhzlN%5x8v_NY23-Hzk!DTX$SfL?Fzznw(o*}!wckTq`Shp
zoc*HZ-Q?h0=5b6+MC6V^R{PlU0N*;Q42K_)yZE#kD?rvlT)@hBffPu-h=kvGp``Us
zd^=AwD)1qHW9J74!5X9&;jB;@$OL{=f78M#Au#O?g1lA-ZMxYuV=73@1yW$n>IXqs
z_&NGu{p}3I9RolC6J-E1e<+(taJe^m`h&ehhCpSrK77nd47@Ug2iq<eD4W3i)^e1T
zG!<bEYQK;6W6(|51eS0N7y&?W>-Ov0Jb(SIWIVr5>S{I@f`6aW4QE9`#D)(1A?P!)
zMa4UivH0d2mgN-$(czVQhivRGnR|}RtR|d?(|$SzViWjsW3JrakqA<zDGvHyqQDV0
z_9f#ga1<VoAK%eve|_sdr2(j$;XhCi|B)#gcW%4M$e65GJyL>#g0!HFEG;d;$AbFK
zNdD;ILqjO@@}d1ny$#Y$G|243NI?X(|J(HS4>f%2YCyO*LIdpBN14!l4|f!$lv$=!
zYW|ElPLN7<kf|Vh;Dg+n-)+RRui|s~jC}>D`F{PMgQB5J2x*N#CM}O<)nwoKDuC1h
zFfr8gEOhiv2WMxqV9dHTq`0TtyX<=R>p6B8J0rGt`wq6jNHY-Ff9-Mkk+XlW{k2LM
zLolVxFWX3h-vn|2SW#4aO+SDEKcTQt4b)A+`_x%x-MpRV6{LnuNdZWBJ$$}+^6g$k
z5R*9!Qh1T^sDMZU1P*${&{N#4Ul%2q59^4>rRLl1tl@RyNz&h|>%Sk^5XFnCxoZDL
zht4iK88%tm0U@Dx8-pI+MUUNorgyP9r#%C79O#yr*A^jCRJRTQe_k?!YR({#Sx`v&
zQGz8;5WqM16D;%O3p7hy(3uH6J@E=wdd?M!m`=u$wYY(wkQa^R`iwV1@cyaa$#o(8
zAVUbpYuS#q$@>~QjU#>=+Tn~kD28@dynz<BQ1cv<j$CP9e;=QoW<Kbog673o=)|)I
zk!!Dm*~Y45VbT&54Fik{_Ml4&jm5Hu8N9(&0l<JtG=$B>qM%>ja@JrM$Q)o15cg#)
zS+&q}1d)j{F(#&;DGl07pos$rCDz5FO@wLp=nqW2A$WwUZNPX#CH{g2{LG;ETj!AT
zxv1?taOzHhbNeBdaAfYz8wi(maVb80_%Lb#AHeWBFN^phM+P=yZ5~@PG*}ls+*yDH
zwT?%56AA;v_+NH=tdQDvyvof*sv=@ez<AQsoT_R)*>eRgUuZ7Pu3YJ|sAK?l>RKEC
zYy$`$z`gl?)UF5p966V2Yi~fyx)#x5;>K+x=-Ce&!<Pk`a8iNF^E}QVV`G!EQDd=M
z_Fo57(PH#;cGhaFBTp9Wqu?4$1l6K3&r(k!j8h)y2MewaYA8X{3#UEMWg~qDjN(aY
zX$r`S1H1&PAiyI(V@11p$Y8fOrX{&GQFL@kxR>Udx_?)gc+BiRzlv>3$(t+0Np=LB
z6>r2yT!{9R1>p?U`ahG?86M(2V?LaS0@vQ_Weje-i*~Em@gM;TXjS7leT089qGING
zH}z$O+#5gIt@Wkh_X0wEV8?@VE!6`~J&j8z>Fv=wnH@_MT;M0tC*CN*7b$;5RYUb%
z{h{kQcvk1^72px7p58Y=m%2y^E-+PsCD|QDI$<?Ofo+kv|EFA!-u7>sLVwl$d;EZA
z&)n(W*jhn$@QkXy_K~Vx;B=yXop%m>Ai@4yze0rSoDCD&^!ogUl6<NG&SL;iFc9=)
z!R6|G(7zyJsOQW2<$OVr{Q#7yYUckTVnN58q{G7#_-mHm@kdtSxd#aJxi{{wo9Dfs
z%J-4aHxJkobu)z~5t+>HV=}A5d<onhQvBP4ZvG`qA=>^|+~(#f{6nO0i~A#}+LYYg
zJhxH6^F+N(a7T|^+RD$|gNKFaXa6V+8P>jG`44bO!c-gI`jQmdg&^li+uP?wMMc5%
z2s0k2qw_~ID@iiJRD^$NeE(;K!Z8IDerYfdnvT`gL2q5_m<`y({Tybh*qdPU!oH^G
z=2k;(ZeX~RyK#em(`QVO%?|+qiU7<0&(Gi7tOZIhbj!DFg9a9tRXYYKRiIQ)xp*z*
z<KshTSxh@}9p=<CZa?U9nvswQy)2C~B)Ew?`ZvXt$i691ZS3vs!87H9Wbw@Vb=sE<
zKKaw400FOPsZ40_M5O%n>rcsCSIv=!aO<{{R(e115z`D!Ui+VTgTF@~P>rBAe6N%2
zlF&PrmzM_(LXptfwS$l>1=_3aG6Cx2UlJdp4^H>Ix$i5dHAwWE5zw&^P+`8)DH4(-
zM5cp>z}8?Luo0E0P_#6%TUwGm%K<n5(oAyKgd^kqS67&frcRAaxBQI@>1SrYrNUk?
zV2Q#VmcD&E3W%EoIA!E7LT;<$=anKAQdNe+9mmb*nHU*gP!_@bg?#u2rcg6z3ou0u
ziwLzqS`-Adikj9peSZH6hP0h0lsR?brW<r=^{ifo=08Yi@_^y2p-Ev7h}l{um#Mu2
zmSoUxMTz=%&@;ieeu9s)VWx&J9cgJl41HD0C0}tKZ|=-{zW+PO#kt%F2~``Q7G+cZ
zzlIo=_T5HldF9~WdtY8o2O<q1LBN#$NS5*LYA_AdbZwYf_}L9covWOr1<0=lDgq+o
z!Kvr+=F$7h2jZYOewsA~)(?NV6_cK4^Bx`^zoG{MuNtuVA^%-<xB^c08Jlp#!`CXQ
zh~c0dnyzHB%{fO&DdJnazUGK+kpp)HXnY{F%W7+D-|s%Tv4Y%e!Rv5<ghd3IL<?+E
zfgl_)X8%>#XR#So(pv%b0QLD}+p(lqdh@{50gsgf9H;aY6jwlfveg*r$jdr><VZk7
zL^`(1p|a1~b*WMl+4H<kTztE<PZS+%PVdk1MQH`Fh&AKG)j#n9{m={?9P+a!Mq9H$
zSczSl888A_u6iE8!$1VMBod&-8<tWN6zWYGTEazZ%OhYRG`H^tSYhzieK$1cHNU>~
z&Z;j!(GV61;4@i}SI{;Gux`J)n}%+>X6ILuKM(tu)B}zBjAG|$2;j}Uzmg4|?#wf%
zevm?&T$9}h6a?Ea4s(VKD%m0+m2P;;n_&D)Kxn91`bF?EL1&>PLZ1N4!C5E+{qU@y
z4oL*FB$mH3;j|r30UbjXFiSlQFG8a&lEGXBjo?iXt{QVpRHXt@38Oaq2L_`4+f_gV
zwHEe;N9wy5N6a)9s}66>Kf94Usdx9mx<UvmHXPgiq`*S^Nq)|5-NrjVKt0R6q=<L;
zMy(GY9RBZ5VcSSfJ!f>GAC>2HOf|YStpaC5^o0OskZ<1{0>?rgLaPFnHXX=<MN;}P
zAQ4fA9)sM<j!&Sag4LVly++xlst=mM|2<Yh`5);NM%e*60_J3$P3{40k9OY7RY<>Z
zHM%c}-QqxFLW`Q95LE}?lTL#2l%I{|7$_OrLP00mDROZ4;>90c01d4a8kiE{`UyHP
zI%#*8PHf64{|#z_L;mV4C^h;kg5tN_WjwxdYQN``eukiGuWbr3Zi>(sR_#-F)2FeT
z(&#mqq-Lu3@;7|_2b3UxU*H2Q)gf@4%a*v{P?m@BHR_+LtJ4-ny6p!@0pK?+4?xuA
zn>c|2LMYC5yrb0z04V+iWj*<Izkl#3`~d-2M?9W`Vi~y<fqF&l{aH*KpXJsM?eKq?
z9rB6zv}6dIL~n(6%i9Ng!P@X)=HcT5Fo2>q*SwcI_zqN2$lVK!2MF(i6D8}#!s$Om
z+HCH8Qm)@bgrD#Y;i%6ZyiO5olaKg7yeLhc0L+PAJ#T+9wxh|h5R6xYK(j-907l(!
z$9@v%xNK`|TL&5z`J88KuM#FgbsT=3bmMdQnK#J=%0y^RF>L`Hg=W00uC6+GV=el`
z0==(Zy~=9R#?tA!jx%*mPD(=U_0T|Z74)0%>jjcKu14=~in`p~_d5#xH%~8A&qxvw
z_>&~?AJ7TN8-ffeToZ*23D{fMzu^xigH(8yqUAKyR_0#k)W=?wU?-1!vN83-M(e~s
zrSk1N!o#|rk#fyK1{{2|lU&Z&*f_d6HW$Hs=|{$g_Wjfp@CH;>RJ6C4{o33v*-<2o
zh=ZZ+PJ)}I*PrKCV9s65&mB%mZp4~tqIeA@@(ne$P$(nOLdng|B{6F#zF||KvdUhx
z_v>Gn0vPwPUr%fp8izmLO!fbI{mJMdcb`cqq#iu*fqfD{2^kZby3@?_6qJ+_rl&2S
z>15;{_4ms!0S7Vr#=uVovS?hF!w&$2uAveI?9vSQlyMNZS=+NP!t;V&L?d9Tk$pf0
zdP>v4a{IA0{uLx;n~5$4(frlvN-9wpz5_N_Code<tUC=_DCt1^fc6HDXZ_gC@||D2
z_Yd<U@_~grMo!K&G&<HQ{^Gp!jT=57!HtZ%t}dE`a|ei{uD%N)z(N#^8N#3vhw;1t
zFsY=&{0zh?)wd1^B6}-qH4@PgTBVi>PXPz7BTT>9cuBnfFAW0Sz$pQPBMXlL^(+9$
zG=WANSb1{5cN*;{-Ml%AWZqJLuL3}$*9fZ+fC-!Njzpk^5OM%>#4z9%#PoyFLB00t
zCd18d3H}Og$X;{#3@p=8+!CEPvDn$HghH^9{wrr6j9B?e;&p#fy^$e?x#c^_4n~3c
z&cORPMJg3R%Zx(<8#P7``(HyjLl_kJsIeW~aGbVc%k<u6o943I6QBk_mids1;Xk`k
z1rrb?Jg7P<@nILs)*or-w?y%e2^QpqKXfpEpbnO<d^5CRx+CB}3+^^~-+XCEhHWeE
zLK^<((vJL?UFG#&*Q1!`YWd7RrHlV+@axa(;jJN#o3yUJ(_id_UvK~DHto@aB3>{p
z{|ZnSsmSt<Ps~rK-~7NGF6F<Dg3t-$qPkm-7a-7j{U1)OT_pZXrT(^z@dvX3V_^QM
z^lVh>Z_A!;5-X*IkdWP<>R*IzfQ{Yr`(e00zbC($D&#>9>%tfXUSej(XjL45-m5Yw
zNEjF-kjupZ2k|<(g3K|cc?1n=5)imI(+fou?YVQpC)rK$`gK&)8IVp@py6K{tUNHK
z0EB<wThNRD2*|7diI$+>(%Y*D1Gsc5UnIhel;zeMmpB;If<j@mH*Y;mR*2cY_jn^0
z!Djlb%?5)M!*NdtiD$uqBcH6mvF-gICx8tdKhvxWswD}#X@~s^1W|E%#k5AZE!)%}
zA$O-iUCT4qD2puYf8{G@rl(<=0tHMQ{G_up8W=@?T3Iw5G$kcPDB?RB_XPew89*~Y
z+oDhd!w#`tYsDKEPrw)|%tZn7F6l(Yu3xtTau&!z)uM{_EIn_qfzyJY2((ZbNqGev
z*k0#kWk5KsT>r6BmAS>np}~trbQngLv}2Hw>A?dqftPgkrmE%D_w@p+3EG1MI0#&e
zG+d#303{(X#DUO~y08*nc~if(Qic21-n_qh9nV>hO7Bv}52hSzVSV!WF^EFE6PLp{
zt?Qwq4muMPAd@CR<U_qts09M<d;;9z{DE-C;ZxDj3|X>NWhMu+2T?yDfEwrr{0CW}
z?fk+8!V?!t`-r_?y?TYbW)AbCiCp8kSD6YY@3~BQYBoA}Vybi-poGJiw6h_A2=6k!
zKOm!K{Gzj~ClIUjcdS2*Y39WY56Y60kzPOYTMJ#Xb)dGhnst->a62{~x$n`mo-Y-k
z{$NXRsm*EX$slnXjd$ejcj4Q7Ze0U)k{@6?oR}{n;Hy|$a@FY1pO*u6%3*HU`pOZD
zQ`dpUAjZN(P6=<G`IlYJ3+k{$#L#%1r$XKqa_noxxc1+<9e$Krn}+^3BY)KQ_us;(
zU|{x@XnkLx=D5XJ2f-x{4rSNXUh<Qxcq<<|FNunO)%5m#+Nm6{EArx+V$Hbjm0Q9b
zXwY#iVH%qvY+B^AFYM3Vz5;l-33ZS1!Q`@EHfJold0+T47S6MS?O(SLR~KjL)c}3<
zn|Hn!T0~v{nq}vJJEEtiE^p-n<c%IISX8aR1l(+QvkDN(QF8KbpPJ1)Ou#g~Xf+B`
zrwn0ds$}aw2Q?ptIUPNDG8wHZ4vstxt(f?DBPfI0GIcybk2wY{e$`=IMu3ZhSqyx^
zi!)YV0+vBvIp|je-J<cbu9X$b28RhX?^dXJ@ty#<hur43gvB>QQ>p!bQdY%~uYmg#
zya@51KY!j!at;6zyu4WGOG~6}e;X7IeIYl<k$HVF9w6M$+M_x;WVfx>!`!=grs73`
z0^5mZ7`qq`BXBmG29xJlL9s)Pr7%$u*car%M8o^gG(u?V?p$s+W<!m}Ff&RTBpA4}
zEOwJOB_ep$fsyG_BkLi8O&bS&GDuBA6aRn#0u#8=9QY;y>F1B<j~F_UV)n44f~yr#
zn{WyW@Ii26tv^x)(f|<!jo$G>-efQW`82jgI+=fFrBZV(3O2upFXBRAmPdOkA$$V4
zjX+c#cv}p>Y`*->lgSEfBQPFhH~3lW!Hhcx7@TEcmY@VpH5q|e*$6HwxSW-lc_t>N
z7FdX>iki;yNaq4ynH7w-fDzRibxf{H;_?a#`9=NfxRUjF=;!!oiX8z4sScW%(7Z-q
zmqviY)KEIsqlsoU0?jj0LGIdE<1)_-EQu&I-8aGaDPU%!;o@o^V}<tLS;+|ARMepb
zYBLF&@k?Yi0UH^N3F%!PGjmOb=5Ek~^9moTY!B{64+MH2A>1~#J%S$)aZ%JI0IdHl
z$I!wAFJBfYrjSD&8cG^JJU@Gkl(h3R^Y+zB=mTzy6(@pT)`Ha?xoj|aMH6+X!u2{M
zgGm++)UyUO?rS(X-4I$ptLMROUIaYnFhm6n`@Umfz!&!g-Z&Oq&6*|axQRI+=N$FS
z-695IULU$-Fq7tHn{^kf!*oxF;ly~DGP+C8Srjhx6q;&e(p}scdptI4y*dmw2x5nU
z8b%#Q)kg4^LNunzao)JBq9PeeMF-TgJSv>JwaPQh$Lo8C-c6^azCaY?t-wBL1bh`b
z0$A=TMB6~pc3GQ=NQQ}#s0Vv(v4Zc@?Tp-~uwhX<J`!z<9Oh&|D7LQQS<nX(m9^Lw
zjidqoZ$Bxg9I~CG3u85EZsh0&)2=l1+2q0?g*c!>g`PZl5)8A_fb?P<obiD|AJKA+
z3DOAD0-GIoJtzwH3G5E_T1SEdjh(JA064enYjLM(3u;$|#y;fIW^6%TM|gNc;Apfk
zuyq2<7-7Nc4K|p005h@pK_{(;g~)X0*ra0Purf^g%u<DpJUCZbh?B4l=Af^SvprFs
zh1GEGe01F)%J7hxQE#rO4D6JwFcm@BXoXG&Fifw^k2R35P43+O%P);z&{`p<&_25Y
z4;GAa;8BQyH8=<lucdo!o*iaf9RaeV`6?k#OeIr^8miiKE(OiP?-4st-O>(f1=RHp
z{Xu##MlBIK)lgD_iD{{*=77D@)Q2->3qjuiJVGY2x}t@y<dL)j$(ezg7H~uxh4sS8
zr=dZvz#lZC-@<+yzE8+o3k?#9$R!QA=TExAelqfek7XLR;iwLSF=c6>=H_;$9R~IQ
zz8XYZ3wj?z$0A(U@@CqkU}V;{de;&1g#8$m0vN{~xE_!o&q8j9(S>Xn;j)}aNz2C8
z+$xzGm3Jdq4_Q$0n!eNI6>AWen_XZ9Zv9e6Gd(>$3YM#RXlGeL5|ExF3?snhw3}vC
zl$Es}Ied6j(|ImnCK$#+5t6WcKyBLS9ndb)o|T!2|5N0?)KFF)8dbe<<EE5|$ZPnE
zrg>O29PMz^OdO#l6{lFT9ME|?<8ph+QvXRuAa%#kLBaKv_gN1bvgd(L=~@GyTS3Y#
z0B7?+@2mjpqTUAW9j4^GPIg7Sge7Zp>G;2LU0>;D)tCTb+ZhJh&XMfBOg@~Z3tI?N
zQC{8#ha4kGcZJ!u_-mSQStuY$Umv$E$wI%y8n@nt&hmM%*0yVDX^lZ=Nm9l-H0R*2
zWF6PNZc^*?bv>aeAJW^G^t^tO6%@|`?PZen4I7h^Ay}_~4Sf_mAcf8VR_0Yr^UBCh
zo-~Sp9V5<Xcuc}e1(y!*a)jX@&WQEq0JWwPy`vla!{VBT$MjuB-Ho+jrU!z$GrbVq
zQC@-ZQ82j_dI^g{TVNC_i}9BWVchmI;P?xm97z3y`Y<bPCeV6?SOaVnV-400tgcj|
za3!{_He`?yK_khnGJ_EabTl-z=`M5h>hK&GTbAcW;*lJ;zT8p*9e2%<b6gsFmx2rn
z$pD;XwRS{i+-*}EwH}}q-Ve=_jdq=N<1eM0S7h5SlN&av1K;K{6VjcKlq3d|6s>~J
zVLbW;Qp4o|d=qKdT|s0AsC2XM2>EEBBMC)G^=0W~ea6P&)_25&WZVgm7Frxm=0KMw
z3*Uh_1MLCcopo=_WlSUxHAX24BA_CuZ^+;b!c*SrgRee5KBq-twxC(43EFdzSsSzT
zq+pm6NI@{U$u=-2jLTNc*JbhRP8bZ6Ula$<PFV6V9^!r)3{!1;u{)clkrY8aMffp5
zrDhNrtzeqG!RVI^B5vy16A4XOkit=X`2_G2a*s-hOA&seDWDsb9Ao9wH^0=%G0v-W
z!XrbO06&n|TLg&vLjr7>!D|=4EqYy-XgO8mV!?en7Yr;gk0r(2xI&X;U@Z={(YBR<
z0m9S-qyyg=gczDxMe31@s8Azh2FC`C6v*;oTKk3HgmFH9#$PMm!lcC7CYy`bc5Y0w
z{eXVyT@@TtNL3ufD=d<C5Db8B)%>|v3Uz95VW0=XAsfNx3^NT+;%e4cy)_($sE}Ig
z3sE4#Gfx4Eu?_y~GGZF%9QLCJAn@ThHH`eAqM~Bepr@m=m^Z%=be$9Cb9&)CJw1(1
zX>vL`e1YB)CaZi?XknxKKgFGENRx3C#urA`mKv;_DAI)rDa7tqH!HFTLql-YRIHpC
zEf$J15_6QLS+S9fW;V6Uy6BoCbJ5gVBv}-WV9ghG6UTJbX4!@2yi9wJpXy6r^Yaw<
z?%nx6=bY#Hy`P6F&i)y8W&Afb+}u1`<T%}c?^~rsplMyMDBR62M@s~+3@WKyY!o@9
zvOLW^PXzB<xV%0MZv%bnUb2bPnUh<4de^Qy<J|lQY5o=RdRz6TP*MEIBKGkG&)=#g
z#<n*5!SsZH$?Akl&a`wIGqU=~Oe4FQ70+$DP@z;ZxR68z0$N!<1dnR_G{G2CII3|{
z8l8RZa?fT(r@Nxk|90fe5V5liTT^84{$TyZsIyAy@oQ=cw9^=>KXHUXGRv{}aISAM
z1XM2VzT;7S?l5DKlyzOBd59-FD2;;lOQH*gALSx_Clt^!Q>{2f|8oCmzJ6A4umrs8
z^^<w$FG7=2UL8c)We{#j+h%vaw4*LnQqv52O;2|Th(&}=1tFc%u8$qxS^abnHHq{V
z-$`>o2$^2n>!-OldXYx5<DxD~8J$iinc!&em0-$=wP1NhPcTN(RaFuC%vK@h(6T2t
zI*-zch$&h8Pj;-rz|`D_a~4k-Nv4b-$ioFDA4FmU3}B}mGIdg`%S9t$gw`xR(nvix
zmar47nR*e__KK0%@;E*ecpd6oqI}F+=PAA@FtW1-y~Y-7Fe6Wf@v-Sdh&OHzAzyGN
z<Jt_0LPA1p)|7-yR~-sFBpT9Me9RdwAG1@TV_k(q;h>$ard%T_L~8t?inib{fz(<6
z4>2BKkq#YgnWU@`^@gw)(azWwve8ccJustF`>?(ij1F+s-%CqNf04GuM#D;S7G2B=
z_=aKar*xq2ORo$78zLRcEI$#@28UgUeIlax!zaS#&iw$PsJeRf7S4I324i4Mz~-Jx
zC~|TD?%eMPXlL-=Fy7?Kz9Mfd2zk6pEpBE@x7#0END>Ps&n@G*V(}-JGNB8CvKcCq
zN^cM53ncnLLlT-N2IDe27Q*dJp9HB)j6pPIq0tS<qybjzr9d|~CEn@GjsB)FFdjtv
zX?F@SMYk*E?t3M>uS7WWt5~@F172e_05lZ7g#5guPzbT=riKFolTra5#!v?_pV4t!
z=)7F~Oc(`5Ni}b=n3KIKq8WHx{eee2VEZn@H-_3c__JuxgoOW{BsqvIl>DcDQQ+?n
zqL-rJc4aI1_h4dp8c1AJ;|Pa0a@b2b(hXAkgE;d<Dn{4jsV8TiN~Pk6+W)a%E#96T
z)Yl&-8^PTevvTFTyI*jw6_{iL_IYby#Wa{FTQCG8ZWdWBF-jp^7S^isBO?L&H;+4p
zsV#+gJqA}TdNV5szFIu1Nry=lZ=L+60PmQ?W-qOIHb{zYy{|%{D4esnKFz-*%V0a)
zUPd*a;yg4}Mg@RNmM~j@9=Es@TQj7uuc0<A$4kqAQgY{zh0<LMQ}^`G)T_1sHwWdJ
Z3OaJ;{qs=n5<dMydlHj(Htsld?l(ob`;`Cy

diff --git a/devel/_images/univariate_univariate_forecasting_with_exogenous_variables_11_1.png b/devel/_images/univariate_univariate_forecasting_with_exogenous_variables_11_1.png
index 9e48e0791de47d82ed3b2cea67e0f38463b0f2fe..767fb941e6e3d1ee4ee9d2ef65eaf7b7a731280f 100644
GIT binary patch
literal 32766
zcmbrm2{e@b`v*KdJtd{IDJ3LYP$>IeBq2-I>?He|HM>eAp)8SI_H`6e7?h+i_9e@Z
z>@$`yLq>S7d&cwpp5OET|Id5g^E#)~9PWGW@Avv%>*xAhcZiyb{NCNiccW0Ky$aW_
zs-sXl*ifi#8@qPGZ_Ems%-}y!SGilR8jcpO9;VLbC}mSuCp$-1JL}sg-OZg{tQ{Tr
zc|>_Goj+;i>gwbo#>;E}_XRwT&X&AvD%<<uOK6?0>$;#&^rpzaZ8_4})+m&}t-{qS
zn)ecCaGpLfq@;~ag4EfyYII=Wg_)B|A5S@4H@uvm@v8928>`t@D&jRQR^mx5uKn}h
ztZi`>w>;zupFBvt{W{>W6&u@mw*9;Qd^69sR-HJ^djH&;xa|rm&co=*(RTUqv9U4V
z1_O^Vv6Qt9#(lwcus_Pr)L9`N`mN8kgXh?`Q9l#86|ZmocKyl0gVc|gYhDHZN&VP{
z{{L|4pn+sSzLr*Z(})x4@Om9zMw^<y1}nRX+t`WXop1KVv5L|Z+%KrJQ(3>U5;U%K
zJy<r2zM3KYK(UzfzFXUMX__MvxA$D`F_kk2-%EXbs_{*kKd2w4bfTY8KcUDBr#Yw}
z1N`J@Y5$i?9g0}CuI=gU>q{#t;?aq?k1p=Bdo!?BeJNvWceMf54i1`TW=UdV{RWb|
zTRvd1venhw7MGW2D|=^3bhe({lK%ev&9btX#h*X5)zse2xL0!2b(^IH%O)iy+1S{q
z+1qDwkaQ0yY^@|<Tl=?LXX)u3chCek@ttF(VfXO(+S#e!-OXTQS3oE^7#RlIfc&)0
zi;0VOwYQ&PWtHCj<w^@5-RiGjdFkoONlDDUi}8Q$cgiDMC~dm>Po{^sT&y+OX6fW#
zXGV8Y`^vt(zH9R#|8GYpY$<Jut8i0PRn@Vu$a+&!(mga(B+ue`m6MaxQo>`MOzMAk
zH+>(gR6$-ImxB6@8&7#KMD;?0_v+7|KgVoTEKRoR+`QSYEBzudu|O+dTh#j;bq}=x
zcs#zNzbv2hfrbzh8_QjZQ#Sj|ffpZsudy^?c=z)X{fRGKd0M<yn;X6$E%iHhqK}+^
zr>zvr6P2Cad#n|mpWn%iu1Zyv#^o(8URouS@sUbdw)Ice1f0imHl%A^oGJo+euSLW
z)YQ!Q{@q0G>ea*&#^{W_OhV^`g>^KtRkW^N4Lq?g_|2O)#71tk)og#6*E*?J(4slc
z$lu=I-yi3@g0qxhVPYc8n8q1d8-}v1i^wM@JM4BU=WOoPFs)|Uy|knjhYtR@E^&Bj
zmM7r@)`V&vJ0H}IwDI~a6u))Az54dev|=PEp{u8-Xm&uly^em<pS%#UsXR>Xv6pP!
z9E-X@uIKgRs>Bs>7sa8UJyV+<u2JR15EDB(JBgnT`9BX1mTz6MwY7B}_T|>R6^B-c
z%CZ`&;?~sC%2k!>d&Mj+)q6-)qA=vp+4n!%l6cwt*9pelQc^~*U%&R6cxg$TN{>ih
zdao+65GWxj*?P~1gzqM=w)z)kCwnQXO0C{O*SKH49Kdq#`!-AYw;AiFN&Q}>_^Q^|
z19Xqb@3;r&n;%?i?k$;Y{U8+`Lp{8swuByRe}!A<8P(*x2G&iDR>jY2b8BgH?=5pT
zh}mZaJm$=wgood>wGH)Ksg%FN7_{+wa#GM?@SXxrZo({LUE8*&peMnxx+qgAmQ=N|
z)Vitl=+SD$>|1eS?RM!oPYHg0S?S*+7_YJCo9%GQYzg+?=i8=SX+=He292aw>~>^u
z82Yc1DEs*R+sCp-!pr)~?YKW;Z}fz`<r#m`o&PFLD<;f7&(2E2+$<q4p})ItT+LH9
zp^>S-Wlhgrb~lNnmV<6M_GtWQW@hjMUx_>AH?^sTn}}VWO}QR9S7Ezq9ji{WW5;xl
zzGH8cs#M-yrlHQpm=){I4Z7|wO+sG&5#r%zk+8iv%nFTOiA7mYp|`xpkZ1YRsL+PD
zj>BgXuvszO^Ww7vm3RR;mr0{6L|ZZ59=2rS%XPm3<8fEozN4TdTnZ|NPcA6f+uOsp
zgf%ubjZaQye~mh8i|@)^=NoCWWDK&Xr{O-|Y#b9qau!k9yeDrNn-|}&dL#<B!@U0M
zgGJ4ox_#fW4u#p{U30Pvnz?L6CVNYdsXtcr;5<f-d2ngwj_0wtUPJAQzjhfaT4t%}
zN_<&<<Y`FAbB@gHZ0qsHHP;`Xawk70E*OCRuddPLl$Kttua|og#_YaG;$~oE<X~k@
zS*otKR{Db2(b==|SS(h|i<kqOEi$bOn*Kn;>WX*c;^HE9rfd*P8$dw{;2`ObOZoiT
zfwh>(f2ztn&==m0!)E26RONQuQ(Tmuv~_hA)x;6yuIRS6k>wQnmTo1e2$bbEr6n&e
zR=FtbUXXM-Z60U5viVWfXg3Rflt);c>D~58m+HjreDquK;R9ZGvtra;<b=)i)bTh|
zo`BedLd*J*N4x3hA~|BB4|B4aezIoe=HYq4!EkuYfBb#DWtEDo>_a?(z@f0Z>M42p
zj+)xDy!`y`t}fSW2Ufd#=P%TWtkj5GRx@u`m)TgK_wW52#^k*rVco$Yx%|!SNoXj6
zWSfzZVfFdxF~u7<q9Y<AoLyW<KSFtJz+>vYwR_ovHs+O<md>`^vscn%o8^(C-cN5v
ze)h+@h*h4*v$4|h^v!R?>#3}5E>>vA^p@vT6=^Z-EyT6j+i7T-CG1O?6by@sy&t^h
z&3UO-<G@Dp6S|-3fi>Bus)?H;e#whY=>>shx+4ZV0}8flUvAlETWr&#ucznwBT(7B
zlC2#5TXJZ`$!gWsy9}MvBG>7QQM$dI_>sAjC+~3;vBR^!YLy+c+~1_AlHBdWUDw}#
zywGS}SV3J@7Be_#7cXQV@8i2poX*ydiHa(GZPq}lYT3j4yKFKgA%V%eI>lweAa7;Z
z7#(Zux6Hi~IEZeQ9_CSiNF_bG<}YMu7-T1u@Zh2E__*5y&tS{(X9pL%Cival+{Etv
zOl9%^eK#{BV=6a0xg$~3#fx-&W!Qhy+Mh+*ugY(2U|2D-r%*q;J733kb#Yv!Ra?t#
zBD2xLlo5CK?R~Lp2^r^96JCAv&G^Y5yRL{cH&=F9i{)A0_+b>oAeqmtuhsX>x3#e`
zXs+RnV#{XP!z!Gr@y))H#*U>ieB+$bCr)ltq3ua7sG=)9+m_fT0|akL5@u)ZAs(q)
zX3H`g>n=<=iDX>aki09B5guL?%EdO>T61l_rpBn!W4?pgV=zy*WFjX$T{gv!9P;3y
zEQdmnsfN6Ktb{}r;=MW?{g!NT-t(6XJ;%Fu)6!~LSOo23ZBh5}d9b+X>^%{g!N5J&
zDZRP+-pJcN=F+800(XDh(bCeg0iUXPoiQyjkv-DR(r2?ZtE3ajK(us(8*!NRf>u!y
zKaOd;m+F^*02DS^QomJlC9$Y-PE3;6Cfi@-Su%*j@%|EYteh1p)Gt?owN|Gd>==1A
z{ZKkCyxoFv_rikO<A~tT$&;Rj;d5^mHAQv1+p?Z~?&+M<@x-Tys~kxX#LkMTx8EB=
zvrdgK%PDx`rDBYEcvR=;<`i^8*ev+QPh8$)BLu8Icd0#I5KmfSE-_{FS{~3)_7{Dd
zkdWZFxptO>&*z<H-TYMv%Fk_VEN$qw8bfaJcmaW3;ii+5Q|prByAg{=K|uskuW@^J
zir=fEB9$;!>6;PK8%Gg!1m`!)$$Ogf)G2k?;FDzk4RrtOQ5SP_X0@wVGqj7URNLDx
zlF^&wK5O(alP_rr4|&n=-@gUi@S67hrC`ge#|3S=cGUFbIvQwbXc&hDU-{l-ZvMkF
zxp&+tr|5lpWvYaye`8)rQGuO?ceZTV1?D{aX*HGcRez&Dss<}~cWkO(^t6#1kJZul
zdOxtXTuTY+#pmky#_aFcSbE>PXI1}X-Uj|9FaMguRdP(1CKYGSDHTjMzb8KJT_vIY
z*}(CC`gAv2l7)pOEtqwql|Om&_maOPfk1yaHu_nlrjgN*WWYdu*t6%)*%Y3HNxJB;
z#id~R4v&o%on-Y0qm^D+IuSni$6|hLK#HE$>UdM#fEaV0?X;SqQgFCVQcVGIsg!%L
zS0l}m^IT2U*Kh`vSCr8F{p0#5tA8wqp)aY-cx~|MQw$d;XHTMN?6OTnbW4kh{m}2{
zkcbvlE#gCyNisxz+P=27RM5+?6QYYxBQWdB1C3w4sL9AY_%S-_&En|jsN?5X4VtAo
zFe?V`{^G@pkmgFwx;Z;L6W4|}jUrt~!-SVRpV!jS)u}xzuY6F26BKJ+No;iyIg#f$
z`%9e@7GI;U%6(p6yrQeEKR2l7472pzjW->=bweeG?&UbHG&Z7#>MjkoYDlqcB^YtK
zW@Zn4d{ue(NpIYXlKN$W`5cjw%3bsh(vrf0g0{`|VYGSqfLp8Nu=K1MGcz-OX69M;
z<WZ)tu5NDAs{URE;L#zQ7+^T!o~&iC{$={0Gh{uG#l~`&TUxG2yoitIQi#837WCr0
z?yLCt;};CxsYRVp?)dVYo#EKA-2Q$&a|;W6?fvbGOG}+#&k3DIl?4Si_8jHWw6iOC
zYuDGY^ebpD6A_#}$Tv6pX)_kv{nmb<3$o+2xk^<91%;!(l~F1e>14MV&F%i_+?#{u
z<Yv+nSA7wQ8^6=7qpg|DbzWbrqU&2v?&r4_<66QgD}=Ro1F8eJCYyGQ$8OFLOlzjr
z)F_7<aDN3i&!YkA|6^4COI@9;t}acfrE10P+qX&i#_K6F%e+U<f%6WMB2URGzjQ{N
z5@=W+BpX>hJx3&e|MX9OYxb5SN#tf`rjnzUdWT*8r%yQ;jBIZ1CR|uF(UO!6%ihc%
zrDM!i`a&eS78+JAmo~W14;A7nJyw2uevLd0uB@Hj@8|Z+tStOetF(@?av10Z0~1re
zdD9DPaMVwpJi&MOCJNfV0Og2|iODpqbkEJql>6}EL&fjKCbzZOa@(OQ&lZ-QPB-c5
zp4G%A{KgCloFdMM-&X=JZl*t}!?P|mF#f&J#$jF^Omi_mA!bw1JTo?7R*9QaQdQsF
zQ^79v_8*v*wN;8>Y6T}+H-p~Vuic{AcLxd}Sy0c4wYivz_2o><0<S~~&%EV1Tw$x!
znkI?l2B|<7L>spTW{;G+yw`KRSzmZA6}4@wuMt-#2gWBRvYxZcPp1X@70HEGb0%Qj
zm==!j3uag`Bg>eZW2`+gF41wGZyxSyusRcF&un}+YOis%&iHgDvT{%328-)U4S}}S
z9em1<7g<xMN4Wk`y+U>Zrlg^z6(S>>K0Y@$g1`Gy&}(U)(ADbd_|DGkI4XOI<P_!j
zIN^tE3+9b_WPHDvYEi14WMOH6m7T^-<<RBWE^7_<M?&U0Ru%@Sb2pxJ4hEX=3?l#p
z3dJK!OG|fAip72J%FmvkCi5kJ5|vd~&~sc}^1<At`Kj8KyKTTKbv#;5WZ8ax)P$R>
z$n2#`Fy4wC6{Ya>XXobm6WJa*XQr2ry<WUqPOvgh-&mUuc3X1E^>WimJFX{gAbEyz
zOYwfi>$MrL{-`33a?4L+=Fbp<mku7r6Veuggd`WfUc~*HQIRa0eaCfN&+xBXP;ko_
zIM*_}9;d>Zv%1nX7EgaX#B_r{(COGs#9C^Q^237Ns`9>en^BYSL!-&h0_5(!>vQcK
zv%-mRDyB?mT5IX0Ei?35`&zv0v3xQ8<~dshH>Zk*+4gUrsB$23!gFrh1*LIc3!Z+`
zZrZP-nXlu)fR9SoA``#S`g+X-o{?W8v}A}FUgXkrXELY40q^cbKMQ!I9JaTs>)Yk=
zWUCI_%H3rnCNDwegftS3pu{(QkLJhSA8DU2I+s^^X(D0>uof|pM0sU8Zc5%&y^d1c
zwb1Tw5S8P$($cZ0dv|fgRm0D%gr(0_Q&=)K@2LA&{@eGst-S^DB@|W$fy;7T;Ft<)
zY1yY>{M)<o7L@H?fva9qG)vc}5UDokglk6EWJ4xQ;7u9Ff420%w@0{Ws`viDU!+7N
z*=M-9Gs433f`WoyMoa|9OeUN}y1Kfcx~1=%^>tw@8!7%(LuzdFdPx#DVN|~rSCboY
zU_C#*L}~L&QCnWA40EnkG)LcF>kr?YE+{|g{I*N_sOql&f>bgmCa!h&XgAi?=}Spf
zpWVZ=%+4rr0+z0(p^@I-9}gA58Ar!q7pXNwk)1#glVcX;)8vKc6%Gc0?h{(JaAfLB
zwxtVdkAztA)E0l9#Kj!W9{Y9Dy^C^WK7|^Ov;j%6vEee5*xOQ%#g5wUxt?uY(rQE-
zV0|not&f&1K573eS#uJihC<9mYBqjh@Qu-obNQJHclG#$3>;>1D6o$Ry`!VCr}tW3
zNr|kXp<xjVjj?G-A9?2B4DYD3-67ul7B7X#8h7nOjZ}HND%LZhQrO5m!2CUTzL_yA
z;f&nZhKI~$G=EUQrtK5*kWil_@G)8PG-L$|-2Ex~-t=UbKsh1Fx8BRe<8_|uTq^VT
z@httUYlI%_*HBJ6Ed)+nqufMIkiLjD2OaF7wb&<hR+uj1#j=XM$gM2U#=O)lZyJ00
z$~3t{>~0NDO`p&&+=W}O{_9o%d+0=XJu20+K2K$RZ6|YNE9Q6Xj@DI2mmSOW5>D6D
zdAhH=BSS<vgw~0aL$OSg06@K_G~5%?R?R-Tc2B9zUdZd@w%*b2Hxu}lrLdzXU8{ma
z=(1AO4*|zJkL|X^7I0b(?m8M|YSmwSS()ibj+s`Nmtdh9t3`~h<ISYyBg|?tkIP@Q
zJneKFWgi={a3Q^;JS~+K6#vk0@O^J(lj2+}t8S*sP-08<LBY3fijg0EBwYte8GUVS
zp8m$%GybIe4`+x#dEeqbZ%IabZy~c@!p&F0?niU0(v%~|Mjd*w8n1{+)32XE;9Lll
zrTN#1C|*AsC;BUKkndZWhr9J?nscEdch~E@GYYts=qh)EcgRwwoQ#jEiu^(n)h}Wu
ze$=Ozn0nZuWFJ)GvY5_Xvu+Q(?(0{jm+#JS4wI_QwC{y&-3MnZ^MQg){!syT9<`kb
z-zfX!y8}{n60PHNo&K`lQ0&rG8bt!hM(_UH6S-ZJ4f&+i1)H!4VkaDhq2QSt4nmDo
zU^M7BpluHuKb`ZJbRPYap+|sFX86c!{_@K=jmL>4D<y{yO=XH(&~*x*m1_itjK4{-
z>C3!-3$>OGP>WJ8$Jays8U_6?_9>{R#wIu<9Z5eO`{~@bhPwJg6-WLh8KJDZ4_-cO
z{kqqpqhlzS^wQkx0!FRA>_Q}ms&IlsB4e(&#lFtsla5DKr;h)R1KAlceeeB%8=;gj
z^F~-tgFIImSK(z{^Sxf)#vwg-qOCUK_;4=|XNTOxh_6!C8gL)Nj>+}ACCA90!Gm0<
z)9|`ds6ETo22v^GtW-~U!z~DMRI>bRJ@?pT%iv9(r3U`V#{ri8vhJaP%e`me+5-4)
z!yV+cwB4CUySU&e(m(pRPBxoXxEllx&I;*7>_LtpAoD+hu~8)G5zBFMh!rT$CPilK
zlBW0d_9{4{8uB6~dv(Zz4T`#FZneL^h??xZ!)#IaSwMx)1uXbO9$sGzbo4gnb@nZ-
zF#AXjWBST!K|#IYWR`p<Y1N~u-#n=I@JUnrU~r$BjM#_f50hg%^KA)J9m6G!Wi~qZ
zomB;t@YUI4q)~QP%MQLUI+EK$;87|HO)V*(xy9|RG}|7)K`)$8Eh?%geB(*ivf0^E
z5UF=4o;Y;>62>F-#?rN*sUpyugG{w&geb~JWCyLuvgD^Tl;YBijo7Vq?QW8GCc_j&
zFp3qkil-^GZ|KDz&gQ=MsL>()DFts&MT3eKM{{1>M#d>0it%`*fX+OMf4JSe@qBKt
zEP>wUUUB(c+=2W@hfa-;J9uoli@2RDfdUJ@jPH8?{7K3?K0xeAK83-cuex1ej?6G|
z^uP&8UMs&5b~ClSGW4tjRUm(3?Lu}pM*rleNr_@=^H#P`(u>v2>jmFdTCEj1Hg3_W
z9F^|62EL7!2o`Kf^`-xDi{RU86(C*lwe%`@0m_y&qX;&v<}Q~$G^kNfzH-DC2}w!E
zvR^;<D`H`woIhJIVAa*1unveDa-DtWlsVCD)m`+*Y;%75XIX~+dpR;+>mHU0SjPcU
zR+3H?C*~@E>z1Z~o}K>FR$HccU#uW<kG+^dTG#L6nG?NMH{PLNoY~tce6ViZqWry=
z0p%2S3eM45|5)R5Ler)?GW5Qkas=1ra4kentb#+~=0-BP<>@V)gs7er%l4Xdq5sPW
zr&!CdvtE|QA+V{8L&~#}87N+1@Q9^g#QA*25!(_TQTi7D(U{X2hni3Ls5o5Sw3(gi
zprL6Z_7};F>j*1FO3VZuQF+|O%pc6j_9=VV^5nlXeC`{H4<&)KQ+#=_5JH)?zDf+J
zjg`LwW(a4T=eDNgRzIbN1o`MVluiWF$U+4ufzs5<y&0fG{FYAmzV7N*VwgznRMm*2
zHV74f0xN2m{ZT5wsS+Eu`*|318O7?4AR_hs#7Ad%>AYGj-JY(6yfc`J{L4tVFut3#
zTqvFzxZe>c>JnGP%F0PEyk+;dX#Q5V?_Pj%d6{{<?zwX~Kdnq75=kB%RYTj$vp#<r
zCj1!MbLwBa`^$c}J(QQV4epuc?Iuh=;&QZ#;#hq*;I<Tf4pAh?NO`8*zEVv7f0{3y
z)NGO=xnX2Cvcts2zk|hGqUa5?kL!tElK++Xm<r86FX>@4#0oGPxAkAU*7?izAOIuT
z^k1<;VOLK_hH3n<qZ|*F?I?<K<_ZXh$AmFxB79f--~l$VTY6|M>qq_088VyAg+0<P
z`GQg%sz@5X8ZzQsa`PG`*$oonX%JdCX!XK#yR4F_atY)o9pq;9GIv*nNT_yP8$jD2
z10I@N=9dcom&&XJx>8*}W4ui~bTE)`p<fU`;Z6w`FANT*>u1+PxJaLT|1Xb!jxEV#
z;=7CU_Mo?roFMK9J<Fwe(>|2rYbO?okofRpb%&46D7S12J-G$?AUO?Uynj{=&gwZU
zJXO!SN*HC2@j6Y76rk%p7SU6A7ftoz1#ajpF9uRthXMJJVbq?qEI)>%YdU9xtUXK%
zK|S#$qi0J+AyAZX3tHZ}UoC9;?#$IKne03Zj*#&bU0vJLcPFur_jI&3UIR5#^Ka$q
zm5$JwPHD(PoWT0eHwT{V`{}&p(h@&U;6Y1Un3yN>H>({AdT>!0(bKOlao9^}rs*49
z@6;Fw&rK_<>t?42zU?9Sl%V1q6z}>-k5Z}4v;g+$9!>phS#$;ieqvIc1Rl}N)&0HK
zRm$l?OS6{lvmBYws+2YLy8e*hsZa8N9+7b`PT-cEE8eo?Mn5cEp<K#?Sjic1JQHDb
z-2{);Hr1m~wI4@RLP<+<B+%olg;%C8TVwL&DgOJ`VQ5UoJx#!>HFhy#N=_+oTht?m
zASvgjx7^RN{`=v1@IvpX%Lu3kX$B|&z%jiBr9u*ef}X&|H<nBBr+M8SjWmWoP6#4P
z2)J)5l2~=~TZJ1TIyt$hx%mblANd%JVT8ouV|8`)mV0w#5~1ww=rv|3pId-GMrOpt
zF&cVJXX?Fo&OF7=o^)J@on2N{k`%o>)0Z9|zVGyzGd6v1%=O+mrD>p-%%Kx;iBQ-<
zC%b#kk}&DwAKH^QTIgd1rxxrRO1W#UMIN3S&+?x9M9|krAGes4<TT+M_4rRJMgcP&
zTB?6R>niQlt5Z8@Xt+<El97{>oAj9jXeBx!AwO3mn+txoFBkw1U9a&Nol^H%J<JA~
zaGc-b2D*AKoLSrzFhT?o2|aQl5{*U!0K&fht3g`Z+B#Re;MT}Y8YB)+!=M@A__Cli
zJf$rv<wWnoA!YJ<gQ%CS<LkK^yTGCo%v^PRTh(oCV4@N2>gr_5zZ+;Sr|;O>=KpsC
z%@&Q(h6dVLuOAk~gY=`gE?nr=cf@2aj5a7mLTkaT=|Xu<PR?~EVFv^_;txI*67vid
z^mY%{Q$ALfuo63kPMMs(s!_>dt!EdoG5+LvJR@_PYUdyC)PAe{C)TzU1iF&RmG509
zmn&w(^|x^<^cwqPI5?%HYjn^hW)1tGT|@|Ca+u;gdHU<{u<`KP&<X-YmD%<#<I7Me
zV>_b~3-d_rW|ocm2|@I{`O<MjMJ}hfkez3$i`@v?3V2fHx7^&^$PCY=iKK<s8WEY9
znTBoWEvgrPcD;VN%D64R@>}8>=p4<`L1JNUJGp7uz}G4D1{1xORnv1tB>mEEKF;IM
z8~ZyC_4D+9t^W6U`Y*%hh3&qjCMKQ`6c#2-wWs%2`&Pm+XVI|w6zilwPk~$ENkoM7
zsM*NK$l}7nO#n!DV2>Q{uRNVD`x5E(SA=3cp@iKKIdx;0JFk1w;Y-J)sFq%gcFqcY
z^t5piOZtFieN$Z+))uAn4@KifIuG;yo0UQigWr}W6{5~eziwdBFfcGcOVy;MT~S{d
z@3kC-ZX20Q-V<M#*I2b;%J+2cP{PXycxH8rXLPo*>Y&7x6lQb}C{HKU8S5+FG^CHq
zqh8;gh0xm!9t}_bo!LwvWiZ`!T2Gs$mlYLa%o6w10M~v8=0@z&P_=GJ6y1LDqp0YK
zOTIq~ot_4Clk8je8j78|TJqyznN*3U|N42I)ov`g+>ORf!7jk>(}Z9^(@$~czrq>A
z-l;OTZQHiROM1Ue_MQ{<^z;P0ibdVqd#%?mIVB~9Bgv)AOjfo|R7c?t6c5FrL{D`J
zq5Hg@m*O|?rGRjdAIxMVlMevp*3e$$;^roF@9U$brHyp$S(DP%)Xd4voi11j{S##%
zVN5UVyV>z4;*x}KJdI|XPOoFA7_S$QT>W~nyWDllBh{Xqd}Fv1fcw)54i3ita`)8L
zBRQ<smS-(}X1dI>leeR$Sf4}IgeH8p>F$_TJkFA_tP%{BLf4N;4btbiQ&7ik`PkZ%
z-Hxa4Kwl1Q+r8%>c=ShWZpMLu0q8}!e8ztfb(uKF!=o}^vsn%8doLC+{oYPh=?fkn
z9yp&R?7H&_R6u7~*w4-shnEEn8fUDp=0w;)>Oa*WS}~hx2=Q2bpM%48L>9kx*Nuz~
zAJIV@6$0+5pziMecHaq+)alObmFN(Di{`e-(@L7RZsqLQbHu76L*clna|Sp^Eq(ob
zaH-59PM7`s{JiGgPYOWuA-R|5{Q0hK9pl1p-)`CWy%{e>SAuooTv{c81k(0OE_94Q
z$d8aBUk5+uHI)`zdb|F~9`a62?RXD)uDWL*KmJzs1+{oDHpy%lo{Y6s5pWwGU5WgL
zT5n=t7YxDL21t$K3${=BZxyr@FRC&ho&+8qj6Hez8}uW}yjSLurFnJVTxDZpBY&Xx
zOYQ2?^xasU%*)MvURhar+sv%YuJ6(X<7$JOH*W$-qr|echk&jrI-BC7&Lm`~CNCd+
z@X#SrRLbwGfOxwu^Py0_-@7IRd&Bqi0&IkYVJKosf0Hm37IyFaoOB=D-j3PA`fBUJ
zfm#b$_^sUcxP@9`vJ>S+J9c*hfVIBe-1)k5Ia7tbUcrmjCmI2<mH7?Zg9<*pa6|cS
zF?fU!PuKTZ0EJo#`MJ`?Tm8lpn_sy*X3-~p<1;m`ndkyg79i#E7HhlVWU~}Mvm1;M
zImpm7pyv?xAa(lV{TRPqy7d_*v%^0|iyp)ukt7<unDaGDxuk?QkUWK4Z4v-c6h)3n
zz_$J1Y}YHfq`+-SADf+^y!ND07`@uJrpuLQ?@oG*TpQqb4Wc>Y{%RHn@=zwN9%2nD
zh&8YRx;j>G=;cGW*j-jyNsZ5!rICfu<!B`IR#muGM5;O%E$Mls9g$AS>h0XqS4F|S
zZajv}<NLvo1AgSu3sI!2jT}%!-h}23%YfI7@;9CoKr3z^qy@F+kOM&~={2jA(0e#}
zuxcV%c-h+jVgd!g4LF8u!(a|h$5!VIAvr3c_s-#7>-ynkeD=I~ZgCLR;!Vz_BWpSi
zH5bkUT!EtseyGYq!+m8!Fv1>dN(~2$uMp1GLltN-Z!GoCVQrz1%1v)d>+KBvMqPE#
zIY`QCQ)3uMva_q*ma(=%CDfJD9iuR(0+vL}Je8e&iicXy!<kR!7H7%P*TiOiZQn+2
zk6{-)eWrE`18sQ-aWH`G1J+_{0ulcyg_V|LJiNjQ2+n<)y0_X?c|`2$J`ywJxxqg%
zF5y^Pn}jU^?qoui^2`-9pm$EpcPT#lXoWD^nqacEm-EP8Wc%Zsq}LZ-aC$B3M+tB}
z-4X`hZ2;T@IGYuA-CX=>f<XlGN{^~V0UsW~!cd*XDIQDl5ABR7E`mn}*1?wq2U?)}
zG6Tx1q`|7JNa~l>${`QRVwjuEO)*Z$>79!&>Rb5mUpHbdj`(@uUwpO1RatbJZart?
zGos~9B4wV~H5x@yY%8pOb$Sh#(EA%qT|iK%jhdqdaJ~jjG2sMIFX4=bqtOyhbU`wq
zcW~*mlw>p2BHDP7CA=6LHSNW?jF!2ZM>@oxIGw;|Z$XvC)KP>HrnF~isjC&O&}FM+
zX{GY<XhQFKKPhGO?Cq_K_8=EsKh8Xtf3`+YSJl@x@>=j}UUivlgun9*C8PdK|6=M{
z8yp77qpI(?%RDwR6f@lPRDK0$pQgdUs}xL1W{m$pzOP(a5ep^r58|L)`_X})i2ZsK
zv9jSLCSFGm<e0Zq$AH30YxyvMD}rp%7W;%B1X0(pB|!|r)2r<j8JH0CAHZ(yS07m_
zu_IO(ee6)nKYu4;4U5voiNc~TP<80CBVr#;+h&AhhZ9{vV_Ee4)pm4meS0?Lj|Zx&
zJh9lb!stE-3+2^a7*FNB)Von&e<)wJ=2nf(yUMSODs7>z`*j<1ZL*WdMZKh01lb|E
zZHmuW^7$oQ|KB}h;J1@S-g{!@gBz*J8gLpaZB!dQfDkKoMu+BlF`ig|AE)cwRI>`$
zLHV<)ioMZN%M%WYf!?61iOChpR{0%0D(7AvLJM+7mECJZj?U9MmSro8J8~Hj5sG$+
z)Ye+P0Qp^#;Xcgk%Il#is@-{|f0S)GlPH9nX%gV;wiF-Kqayi!_ML<8MI>8-pSXj_
zMtPjUn2ZzqtFnr;HWxmyUGVosFCW>ueF<PYRP7^>qp+X(QvCKzQpF0^m%KuviD{)C
z!Hob=)PO7B?Gk!@d=NpFD%A`-YYHk;g>5oLS-^hq5Lki-wk?xgrmJtfEy4Rq*{>bc
z-SW92g5cW~wtK02lrxIhpx;vMsSMji*2pM>XgT92i~1C>c60P>drOs#P6Q3|Hw<E+
zwI@Ab{ep0g3wO)8^9!!5)L@KPYLe2RcTmJ~0J*Lu6j>tMN5UAm%Xx(k`_9{A7W}3B
z=xa*Gxb)3?(n^m6XEG4qYvM#%?PJ=7g*MfRh@Js%3w*`GflC~|uJ2^ZtKKQq;CwUz
zLEQRc6+l8!wfh;ErV5QOoXFNv%C=RJDF&L49;W;jauCMSO<Dk5Y}I=T$f?qKnz8>T
zj+LJw@G50l$wb%04^$Ed!+kD*Svt<}sO!teQZF~Ti(DS}sd?mz*YvUyF@dSU763h)
z_yH2+GkS|1Jic*SSv<j8Rc$fiq)|5zgeHlxNO(RuEyd65>6VEa+lds2>&*5{HmH8N
zatxusQkn)R6B!5h1gPe1v5g$-CPoi@BxisLlH;!%mCIVt(sn;mOebO&TwO~!1-^@*
zkS|(~7kSJp^vv?#9(NE%aFHgX;r!rX@tmqd%2c@o>_806WZRXYIr2hGIuW${LOdg<
zY{$fmB5t{ZM{+TO9T<9U)G&MFDVz>!PsqNX9sb6`+UQ|HSpZ0LI@t=po@>XpW>2>c
zL;zm2wM{-YWSi%$T;HKt^d%Hp2Zgkv(zkc@w`U&pI5LG4?|_{FgtC=bo<URuntagT
zn5^N~s;RMla4qmx&f83ie=DzgmIY-*UP)+DDUwVWNKn2Un6-u%#crU7C1nvecj~u<
zrrvO#@rI<nM}cB*wy2h~$T@b(^%O5~Qo$Lp@QJZ=NWM&OBqg(v?9iBN*HKgLeR<f|
zC1shRyMme{$VMlWq!c^g#DI3k&CjpV*Vkv`=-A61A@M3YI=VBt7mBwF`fsh8UR*%v
z7*Ne}SQDq(^{Vc@b^v})-|VuHKW=qtGCwD0s(@8VMWrWCD?d^4Fbd^##AwbP0r~)e
zB|6)rA=o2E&aGlH%(ueXHOG(7G4NU-`JLAd*d<E#ap&o=|0=+LB-Wb%;e*BJ=M~@-
zTS37RFYR9ql`LtYft3(j^E(q*4p}w7$9XT&rS}>SK(XmD?7MO-qT%yrF>gi`>bvcq
z_udokH_1=+SYPy7PVw~OEz#7E&_)nR=s;w8Pk!d^81AH|0gQhn^8BxKRgx!U)d(#%
ztv>W<Q^RCv_d#W4WxWd5T&ay;X6pzU59mX~1T^#h{i!r8_iFo|Z$s6}JtnSDLL4)H
z5TY!$gm$jNrt{sy^f83D))y<pMOA=}QN(fxQRI^oL`k;EmZX9Fm|);4SB!>>t8hd4
z+|VH36w4dS0rjuw+W0n9K<Lw5r1p7-c+eY{kgWQhIc4ceRD7s|sAzLvuV37dl2Qg-
zX`GIE=DR3|tEeg9UkQxPc>7kUP`BjT`1m+NBN_V|CFq9l+F%4%lvoEi>^kXfE_vn`
z?fOFJD554BDJ;F<4qfLH@8S436&>CV4Lj_Br3S3N&j|FHO!DARSen4P;Fta{dgYH#
z7dV3xH5x1?%>FD0Pps2|%+WkuM$qHxW2t7Y-p&CREl}Uhl?ZmEFSKGTBm+G}H~dhm
zi10sH_KB;yEI$t}Vugph;H(9_m+cJi)-zx>s-mM0W8*H$hJ=J51-gSnk&(}W96~h%
zE$sv>2|$QRqC{HShKhfSn%N`j8e(3^{W&$@B0ts5>`5MNkdN_xr7NxLq1G8pGo42G
zY~AxkO((+Y_?>^$xK^~Qh_dO_kYk`!Ayp2qx8$~BHaFH(*Oq=QjFJY1H?$*5!FURd
zFcp(VQ7t)nd9igP#O%GaLG8Y``Ii8Tl5e>fHz*-xu;<!NLQLr&n78@YE0=6t2l&O2
z)+Yk{Tnk>S@cP6STJU$PH$g+X6LZnz^cd7ZuK<@&OG``hS{;vNIB=l-EZTd(zT6s!
zo&6Z^l^rq9_66Ty_2E828B%!o2pybI?LWQi!pr07lkQ^#+|z^h((W=T%;IT)9=i@_
z(o!(WIN2lr7*>F?&6f?hzj<r(HO9b^K>)79N00VeqM1*eIIjSlcYH}Nz=KE6LjFO|
z%a|@4i|u;wiBFWn*QwZG*o#dWQumw68kN*2!52Wr1P)fX<s(Gy9Xog8V|0ve`uO;y
zRQp}K7R13RB=lC*_$auxs$ctAk(MOj$`rU0C~)ZPqtg>mihm6E5iIxE@=@DUjg`J2
z@K)&`m)O`ws#*~;n2Jg`=(4J}1eN-0DIpCXYBtyBPb&xy-7`zULhvN_K+|*G^Xp;B
z)j|bDx)m)m{p^iJ-6Es{5?p)I-QG8jKY(~mB762c?Rzhh4R}GNNEj~gW>HdBj^RMG
zOzFk>oA9u?noYm5vNBFlQC(J_pC68)5xx<)$Ykl*m>BDkkB^>&g>}EUpzp;pTx|Lf
zQOMJ$Pjj9*b8Tp7sPTVrvRYW6^TBu-THPu#kD<CDq{}jpn=IdR71_75Cxqk6h^G*^
z1LEcx1QFyyj8AI9mG<TTUS7w<#Ms!{MrD*7c@`O+nCPQN>&a7MfmMff11eE!+sji{
zT6#`I<Q8yb-#gT-yJHiCTl?zZTX}9nhfi2a2EoFy)dwYO*o_g~XL?OHe*ZX{hKC91
zj#44X0I547Cwhh=a^JieDiv2h7IgT?gd?76Ty)0=#E=#dQjue4ak1vDD!Y2tW5e1g
zR1RU0fAm0I@Rk+AJMTaP92MZQKyvEzm^@=O+js}(rSKGzI&tTGx5+#ld6h<&t3Y(A
zx(ybI3Oa&BLB4Z=WUr~=B9_AP*w(JH(T}GU5YX>yXeDv&g1p<STx|Uz1WkXZhNLMb
zYR8U@6&mv%M{9Ygbk6)TadQ<VP9)#H;K!rf>X)4T`R%@~OoEaGnW!B<I*rZ-ltvnN
zNq3Zey{l^|*K*@!Hj-ik`u-neh|<bK?JOGuHXvy3`uyHehNEMd&{sq7_Y0nPV}&eY
z@<S^tkdo~o3zE<>5`hZj_;hctev<`0EnlAdQ-h&g*#+`ykZc8^TeAP9{w!4y6KN=y
zUmBbd!a-M~r|3q{3Qt%pI@mC{iOF?Se2w(5`xx|c=C>~2LAl%+3R68%aie*-+#{=@
z5$AC3Ld`Xgnz!=OzPw6sp423$HWo>O0@%2}G#GArb)UmvBoy|Xz53-@DQBe&B}?ve
zy$YiWTPYKg<p$7x`qOJVwl|{F)<d~>D^nI<Q!M@UUUPlC#6YmroeI6xc2F+2eoDL2
ziDb;gLJa}Ve&Y+whF+%f)mxB5cTfA4!6_k0Eh>wjo##5Q&*Z`N<%C0rS!W8NTO|3G
z6zAZ1Q5jlWxg|{_)O{);Kn5xc<{OHRAIcJbf$eIozIbiKkA*AOw%gzL-Yv+Q3tPjJ
zp4CxPNxDA~eKE0d5RwhehEx)28UMartDgOC8Lw_i>m}sQV`9?Q>)oh3<&&gbO$+%7
zE{VcDvz=}>T`XqmH@ub40A-}VvA^1Tt*um&?*ip&&ig}iUO%5a_p+3Wgmi*4fz20c
zjbT5}*o|TNJ}$H)HJ1#SMr4js0tQJ3ZxK^|?|gh(ll-H+PBu(sjV32=#&kpqi;l0-
zRziLQ=>wr|_2)nl=e2ZIa%DC*{`jHPo^T#aqF!pkRw4CQE@|=w0aH-Vph#D1_4CeS
z!FaxcoGPa%Q&!bMyeN871Hp2W45^ib0VN#|h=N!=o-RWwue6vt+IxnpV_0K+uRXc@
zvmI_ju|i5z?{x6POUN9Z(-B0uYIVNZ2RS4j&h*gc0C1Zz7h1>6`8FM@J<M$w$C=LR
zS9(-4qT@uY4mJ6G+M+XwKX@7!^A*W+k{yI*xr;g_;nK~OxozW`LR7DAaviDTP`{3E
z7&%mIzB!;*c}W4z>Z`-`0p~o|HSTHh_%MBbX;D2DeRy~rS<GeLM{AyV%i-%?OdhRW
zT4o=+#-9yIt7SQ2o@Jet63yzLaNk;tB4sfuijXlm)`(u=9r6pwqNjG$fQ$$^JU%mN
z)y8_>m6Gw-rXoo>%IW?YIhv_y{p_iQXocg4=JKIFUAOiwQipzB|I>qRuCJqzZvIK6
zI7As7-U9dlTJ!T<za>X=FYi^F^5$9uJ9$~DvUL1<=81icpoXYhOq8{=79XRu&Ig*J
zh-jTKghaELmq2PGKh#?&$0+jV+@-7~poyX}L^g!5!7r&jKNM9EQxe?Ngw1M>^zxlA
zq+4%_UvK1bbfPXjfT9CaG=9lcOwe2Pjl;|17b>v``-S34>w{z=u28?dHh^MEQ}Qr0
z=4JJPvCv3JW0;YNCpd$?q|vP@)Y^+UdO}OMj9RRu4pX*D7x2!+5%F`R#-z?@0g3Cg
zNq-ggolD}2U4ui@6gv&@L#j^{U%+R1YHKoLIKJTS0Y4i%LKgt95ZTp9%R{&SZe*sm
zQojCOZ9$+3#%EGsy+&^IFw+#pmDXV8-3UsR#P&32H_;PRL!IKMoGK+|@$<;!LlmgN
zvKH=V^<d~KosyOk$$)D7rj1b<H4!2IiO4-5^!<Q6jKNTxsmJ8!rUqP5!JD1yKWEn~
zHfQOWx$-@zf|R33hLHoDX@!SMRnJgV#z0p67p#SqrBT?NL7DtYVSncK)6vi2NEzel
zg6sN)PvjL8#Ol^;4`PF%u>>;oreKQWJwma9Zkn~3_InjMA8ns!NP#+C_lG%SkkaJ#
zHjiIP$gpT|Un2SCT(=7+8<q)}7Szs7xQ-w`?5TR;fJR13ly1t2S+sdcknPZy{e9=y
z@3Tcfg9qqDabf(YIbzKqywEwb*ZGiw^?BR-y(8V4x~x3E?VaV#?L{mNx6tUYE}3t@
zZ1`IlL3$q^MWj)?{{Yavf{#3Hukf~<2FlN>*EhG)H#axmk34hmWK*`iq}YXcX@uAr
zz)#Ucx{HXed|y1E=kNHY+QYgEnDttk1Fz&a?p_s^PRT=<gt>)Vg_I-`22erJ$o42q
zWJZ%#&Jc{z$1{N!r6o{09ikdOozObhRRW0Y-!xRpnaU=WR~in#WXVSg`BwC?^pOuk
zFbvVgzuDXw26v3=N94Xr>!ws|wI5+l7j}dq2LUT0;fy>XDC8#6N#UJq?tT8`8s>#j
zPWkeY>CYiIk?w!pgDOKx26a9Najvy@5D1Qusc1)tDOsXik9Y1%Z}kr`q_nSGQzC}F
z9?^RtVUS+uyLHn8%1s&IH6i>Vi2f{RL3gP55~+3225IJp1#`Ks=BQmz3hx~Ii_#KB
zvB}~9>$*P#?Z4e&=CN&4%3bYGG|aUZ)#`ttk@@oOeLW%Dcagy~U-{^$G?+t_kXZZ-
zm_}Y>pJ^K<+cR|3_mr~b8vtjzEZ?N&%+*y}UFXCiMrJN5Uzoffh+W`bfE5|xcNcdH
z11_{&IrKU74rr7Jq<QG>5AbFKneY<D;*df+j%pH*VBT%|?2<eI;~iCYTRZW$#H^T6
zcg809XEEaI@R)jvYm9?C7=KVsG}VNa-q(L<7sg}${JN9Tg9jL#mU?gAu!B@yLb6gf
zckT`wt63)!<qisZk7}!H?Nn~E*xO6?jv_fO$#XUiYn+YmCv{~vkPw=6Y^$?YXV)A>
z)A&A7H0?Vb5`x7pXhR2Kx~51;6X>3JeQ_dG0|=LUePr}ROm}$&1u~#Jfbe1<g>)_%
zaIO1v?n2`J+(P+$Vn>UQd5j>!lR_AaN0c9T8GgNcoMmQ~!fWJvOz}A1ZTskCfh0ej
z*Phn@Ql~IheNVKJTE5%MOyEW4PDIf5zR|sVoM~i|debh-O{u-012cj9u`0XTA?jhG
z^-^aWRII36_^FNqY<e$FWGe;jsG#t&=}uAf`rS!jg_FMhxC|8Mwx--22=T|){db_0
zxSvet?d_#NL&qxYdSS{)WtZ_#z<AWVbHD^5668in%ZnVq?^1+B#`_7L$ZLD4j0pK+
zqG4JKPjG$%1kivz)WxZO+Tl%*E>h^K08g;?^p@xQKG%0uSCFQMzHxsh>1C$P{ERc@
zfSk4=84QY;yUSm7{a52nuldRn*VdU4Ah{x3alf*Q`hXO60*kh*13Ww83itvjTF}M|
zw(ka2B;pEKs(b=vd?huthx6p6TiS(Flo7Mg8txdO-h!gug7%RdM5tSYIfb6OJ=eI;
zv?+CCXUR*;29z@e$RW?h&V{nDDS0SGG5<fnDEI7Ycc?Lwz3`l~eI@cRj|20NU2n{r
zN}WbzEa{Pie0wv{Ssaza+5wg#MbwRZSzF!@*Ako_@A?D5s)d!GbR;R%9R@}<<?P!U
z02oTS_k)&!fq@eWr~?NM0O%n`Sc2k{^!*`yBcL=c6V2_vSC_PmjnU9!zlC5@W%dI?
z>*Kus&rKOI<O*^3nKsFlL3Vn2`U`rc*Q=|m$uJ5{9A(|S1>la}>)Ve?f|0`Is8h+Y
z3O}EWBIcuMsxEoNA1!|{pDXOu_YNhgTni~;Voj?A#`LMKhVFE@JT(G&J;F%ySs&=A
z0%bu5cpb@}6UQXs%PkFQb+xs#loN!k7k<<)F0B5LKA8|7U+Oxoj?5DQs)4{(n`Oo&
zFsp)4I24tXNHAP%{rlHKWCoe+g>!DY02}RqNmD3v3C(HOBe}Q<<AWY1Q+!*)C%bMj
z1L5$)jIM{siGD4$bU-_ivLo`&^$MFCaWAk>I)7dFk8Po$`?F;7#AN_>N~lfZ;X}@I
zgYPk1YtX$$Mqm=PFDpjE%<2nXV;%)q2cf%n@U>Ym2-vM|uP`##JT^a%p7)*iMv%$=
zGTS5(gf>WbB*^rf^}XVasyk1ND%KAgii&COQ_v6B#24wTOx-VE;l`w1Q>pgY2R3r$
z({$78wXx6&H~+q&p+lDh1+^jt9EYm-rQGqahmOR<*D+R|xkfYPA*`&aVxDfKa-j{H
zCS~ksJ@Lgn=oVgXiW~*J<~rJO8k8vD!-vzS$HeEW*r#VQfAoz_OejXelv?YrTlen0
z1EeE5HrC@xN!)6Uu_`l#zJa_R;vqwcl-Qt7jh=wYaHW6|F!+$<{8+skxz~f9!u|w_
zJ^19*XMcp8Rohh%=TiFwSZ<$Rri^dnWgGTcQnnv>tBiEW8FUQV^INU0te$oGu9EtG
zt*+))S8qI+pxrCDDH&9N&^ah`k#VGAK7VCq<}`n_ZTr$d1ObpQ1WVt%xA`oY7Tdd0
z#Fz=3v_)3}jzOr_#IindyY^LhdBt`;8Nc5P4diaLUnbB8*5^EGn7;7(s%U9VV2%}-
zx~6<<_St&I7q6AD=6Pk7tbwen_(I8g^1$4waj>Rr+hqbhD{~JN0@e%BR;%~auHCkx
zk}2b`xhc~_jKv2RVUWH3A-z;iTbmjN#<HF~emq5*B(JV2bcpJR3ke9E<Kz4JV8U7C
z4*9$O2sO8Y?C0xnry;jx17Z1CU8zv|RfH-C)AUHUns??)uYISP8{zcD-9&dF7uW8f
z@~>|_@2oU4ehdg99!80DoSce{JjWU8>+3~HtN$C_1Qj6aSvgP{`X%NoIl}SjO@n8#
z2xp^t(vv(<lIyh?Wk%^0Ai+)~cUb8Q^2PUQSkz2RQsIkZ_HgZqij3q?7$|oH8c{Zj
zIOzmjc`G<LL0MQeqz6B)K=u#)Yz>6p_<nI<ai=+W@o3dR?fpm)Ds{kwYZu97fxpM1
zQ~?K8Ewqw|U0!yF_oAGWmfkFFm~4KT{_dR!0z)=7HsU?2s;iAurPoVg1kP;<E4)&N
zG?+}z6$6_Va%A*{q@so+s$GEcmboE}^MklWnfMKtIyUA)J6DR=ePJ$gq6PQJ<R5d1
z1Q<Asm-6*$-Q94E-@*!J?i#;-Z3iH>0FY$Fg|T0IDl%FIplD2FWXICv$B!~F=h?jl
zfvI@^AA~sYp$JQ;;|T+IqSQTwyaIuFtjXSVZ+Qj&zhAO4ClOqiCMj3ub=UH~`<V8M
zgkL=*R|yQ+3hmo?68DK5qL7@oUcu7I)R~c;Z3{2V$d-KTz2Y!CgsGftMG!l4^UVJK
zehvi$tJ5{+78PABJ-Fy&(VAQc-p&xf#0()|fl;}H__NZhAxC%&re;h*bhV!#%o9zo
z#7mvOt_#CHqGgx$-*A%@RAQvQ=5|2qOE39EcE-q+OLTSJqu_?)k~_KCu%DafrGD<)
zvo+u`B<!3YPjuG14`{cJrOt}5^X=%G7pEJh7u(a`+`RVj(bhb`XtUy%ZGFs4@K~p^
zKsDC&UN<vJ+dSb2I}A$fi|!!|_po-A8>{pNJv7Hp{csF~OV{rsDJkm3LFVt7Db1{f
zkYpo?A<`+^O5&<XGVw!0`UQX+=tMw8X2L~DMv61`v(h6(Rj<v;65>No+TF|UIxvQ`
z;ka}YM>NO-CTz~@LU=U{vaLUmashQ7i)3+@)GRJ4{~9O21<-Buavr#g`*kBPdE>l}
zpz<t5YfY|GvR)L2Ck$^45N{P4zRWN-NXYqR;@Dm8KDElcTCvcV<Yi|Y-bm1=kaTLF
zjZs*#;7~u|96H0IUX?n@WWaz>my-A%*Blre1UMMH3eZZ`J<is1@_ZYhL_WG>l<m~&
z0yI&iLf8BIqG|tgok9peR;s3j2rJwBWv1RU#v=2Q9|C6vTd6mBQE&2O3`!G)S+1!4
zuYexl#aVWF0BGhgo=9vT*^Om7_R9S0-T327Q<U((lLGdjQe(3|@5H~Zzb|Gmlp3qC
z2e`sA$Xzf<A>ex}6^V5KFdhpUq29zm$**b^khW@#@KYT>w+BWF+-)>8jir^v+Le23
z1$jQIHd)qBH(oRabpUB!zm4FbsP7N<(l0~#qtI2k!a)%4G#iHrhP1_<2y4i}_ipS^
z(|Ij;-v%Y|a}uRI<@+f)vNs;7u~z1iG7+F)xKr5^Al#I&KE2;Q@i4Q4jC@hl;QJ+t
z2rjeIF5c~3;ZbfwQuA7Kc7&VMLDpV(Pzpy}5tLCnNQ)RrFBzS-ZdqD#?SxEP&qMVM
zONCeI?LQ;{a5eNFO3r6W?#q>SlrB1?49FpPFOynIGLKsS)PyV2=Lu;S=Z+*c5gKfO
z`UWsD39=gBr9RDdzowfpJ!O;zV1Qo(%nbm(BkfW$fam~{>)1m!f7|B%z85_NtYkeh
z`~y6GBm;`xj~}H7noNN|QGAz?K}*QypR}hbHlf=?b9eN|7^fp_Oqe{0Phrf0BL#GK
zo_Z5PafXbx7RJPZAQU<Ju&m~t3UB5SD`*S~S?buhxMy0N{S$!z<3%N|3)MMM#>|d}
zQH;(h?d!#DUc`wIF}=PV&;$gZnEg`N6Fz8Dzrz!WbvTiWidUqdxd+oC-ya-9QZzi9
z0f6R47VG;M{{fmKZ;C3+EY8w}5Y`o}I}RvGG{^gay;#;mS@jyP1VORrwB_UX{lnqm
z-$y^2*b8HPTN6dNco@$uTTpusWcPFV1!<EDF!699`Cy^kp;HV~Sp4-8>Uc)n-oFMq
z{vwFJX~dUV7>5Y4aOt>s$8vnFbC|+^a>~3B($n<~r7gej?iQ~v?JrjU7W1=#6Q<-~
z#KpjNIp$pDtJjkY&(oxkSr2G0jnCKH4+o$6_q@{9TeC*<;T1=4n6}E-;IVmXw(=|Z
z>)_<7FTVA58_Tfrho`b_J@sx@;F!HSoRZ077+gP;zFpv=*k$R8+tJ`pJL8`o1Qc-^
zSbScamtTGkT(beG8%j&b_$B|glm<_FL0cyN7mjAgblcYZxZ0V3xeb{XGTo=#7bBU^
zjv2H=rn=O#uGz|H&TDg-e5VfRH3uQ2D^x%|IEmcX_rVY3up0Lj?bRLEt3+RIP!+H?
zw8-r-e_>+~m~uoltOuG9<Ae{!&>XF;H9egXGVJ@E`N&`6UPl|@ttT+Jh|H|HxIgL_
zuk;V_8Jw+f@PP+kwYAGg3C#|KY0G?My7TXexh+A<8|PTt^sdn~AxREE_>vK-j~8_s
zqt78xeQ3`8sEU>S|8Yk0#?B%q08i`&Ng<##vms7evzo=-P`Y|;=(*WPU1rg?zXsAI
z5x54G7-PzaC_6v&La%Bh0BNqXfBiI9fpz=9nj&$z`k-?7K9~qN2cvbdNArPbaGBNQ
z-@9EeY#LG1^9uu2w1RfGTe1Q3^!zjotyJj9ha+=o(OW~Qd`#L1eu|nBOfa?5_9=$;
zSN@yV%Jb$g@X)Sg=q<w|=I)~UnkQs0LW!&pyJ!F?vQ7jY085PjKHHJqhWmmcQLweY
z79xes?f4p2#sGYO7-=oLr&xMW#>YTBBjg!n`f}@VQ9Mtud;-vlhS8Xt@a7ws;Kt+D
zGr95|VVFnGOA>RP|HmIOmrm=!BvKR&vfElusz(z+L&c2aKWl^pL}?dQE9jUZ#eBye
zn;3u(PQs+xJ!iK&2F2z14WJSa_ftGgfDydF3Ia=>C%decUhgZIfhyxE(PY?buUD3@
z22-D0*7u%)LJ+`xIhU7+L2P%WM$+%4fTQ6&tRHB%g!EcA<dvRDzq%=5R9FfVW8=N&
zpot``@}vVBl`e4paW}w{x0tC9+%sXp?^-{_hfqdf=u)q|<|^S*lV<m~EW~30RRH*3
z+~$g<JWR(<32Vy(F^19t13>NSjnvp`X~)31q(f+X05`DJw~?_n@NVGbwBZe7)uQjc
z-R`&sKn#K%Zb!(Y2z?(w7y<tqae$m?z}OI|0FZ1m^X%+8_lPf&euVqLH0vwyX>KsM
z`o0eUFE~o_G3sLd_|JdQr#Fz2L8>DC2=`%eXC1#V1RqIZmQDlU5SecqPCSu$-Cvb5
zf=Q;`x^dE>e45Fujs%chqj-CU$4V?7)2tpNTsr;Ie`5MQvuC{UB~4E7q~dJ1+$r1S
z3aT4%dgrxE=YPX(5oA>hxK2`1>bV}56ic&<-%c)^g9Dd1tvCz~5GQHdf^ZJXKp3Tl
zF_Mfu*inT{Wd8MDz}*1fS|fT0^VJnFCmV@-#>2#r7oFQ4&%k;<!E~tm`Tt?E!7-(!
z9yTz(P}ryQ%D3K4GNJ+cZWCW|`Rua3k_IBCoBx+1FTleK5{4w-i@iYx*zS}ctFUp+
zf%(%O$W*g*nH9E%$Nw5tMp51~^vvy+p^|sD6igqM9Xk!Pne(0!JYSTc|3U}~dA@u3
zSbsh{b$-o4mUfytUHRASvJV@)(E(s$;!1%tOjx7CU4cn$;~IzfQgZR-W3o<e99tpl
z@4>DuKYX8Gu*?mgE<3Ilb@Nrho1o-|(TA9rOM-f#XRdO!4d5Of5~EI)nF>WeqYlb$
z+ZunbT?L?iUYEIVaOkuGwB`_}fE=x$kVzZ*uT%LSQLarK-jC5Ar&T0)EK|&2qaOd|
zz~9m8@OMEG9r?&D&+ylL{9nG?DI8v$_n~91`#CFfo|@8DtUB^^)`(eDwBKK?@ULeA
z7N4On-HJFg)b>U`I_0PP+CEL85L~Sv*b%n;imm{!vz|ED3F#jsqdJI?$qNS-m&VX?
z0Ky6X+o9bLopcf@t;v9(m{rGM11H-7tsmP4Ije;(E9J*Tmp=UUtq@yGu|AkZg~x`_
zwjoR&LJT{+FyejB40k(B7a_y20BQn~nH|k}v%=jc&`0vu|5Msmhef$|-H)KC7@UKO
zEuu5DfC?zBATfk=w<4*4<e@QuBPigI(jp<P0>aQ76a<tGX%&zdLh0t)_lWQD9AB^R
zcYVM4M=zatp8L6D@3q%jI}Mhs8>oL6H<<Crcq-67&g1-%-AJYnhsKTSOa*Nd$1-$S
zIk?UjpR5v}v$U^zy^+B0I^2Bzn-qCt;#00>B@uPeJ)*N&{oK5uFhh+#JRZAu`P(3q
zULGd}{bHOCoQI<sB4QMbfR0^7Qr&SF5*a|j$cM9RzJ9ES?#AsRR|k0IV}Ldxp%ZBQ
zYRj(<tGRYKH;@+GX|{h9KJ@nPzi+oJx8TTb*hEcXxkAFBG*sOR!VpWX^9-V>VyqHA
zDekuGpToTLCmb7W!Wtlv0b{SE`7<)Jpv3hhY0UzwpqQAf5%!A86on$u2RI<ENt2|)
z7&QD86dZ7cABH`(Ey4}A#GNe7bgoSeDuHxz_gg+yH$uH~WR|oMizMl*i)I3=X=G%i
z=IvV*(1Ub#b<Msx8NiIg4c;FzzIJV-f<~m}7UfpE4`rKF)zu-*)l5^%u$ikhUt3uu
z<CIk#Gd$>o{~-E)r<g6RC^r+sB@n%8#cHO4d&3WBUbD{@RyY!%zRpO4_Dc4;5!$JH
zOfd?IiVtt!xdYUrn{`(d2)s8s6H3=+vuqq4+yDIiq>8Stn_|V%@-k_na8kJc>-+cb
z{hW2lPe}os;SedImf%B*B{Jo}14f%Vde)Ex0THvn@Ja&OsJ<9jp?%#`=De=x+ERO|
znyYIOqFcQ^TR+?=NiQ^Hn+4ut?_x#tf$#;&k;WpYX%6%Eo}L(?FJ+YbXUPh(270LK
z07=ul_l*K%6{c<wrj2u|0y3o6qxuv|ROX+*97o}82y8!=CiWm_;0I(E(e6k?{s+%i
zc7!1UuO|a1Yne=6bY$GV?Ecw~=X+4dSRWAEkhyYbye3N#gp;Ti9?2wWrtupJ4L+Ys
zaHz7huxO6pu>b=j4sh9%ixJcWQ&0O@4KxncYJlA%hm3ts#8iQr4yS((N46}=p#fRo
zOr|q+aD9gM&YRD&(3u+7w=;$IMSQ%d$m)o^yvy~ef$F6S`n9-^6+Ze67KbGCWqHp>
z^Yi`<nCuQ0yB-+kZr!oX&C#;x<zQ3;EJAWhQZ%u?>QJkQfYBYa6+AaI;>LJIX~K7v
z0{6cTq;QXD&){(4pe$0jawQ(YmY{UpukWfzYRhOwn7R9^Gf1=eRtp|KF7A?WWzPPK
z%x6PxB%V&)hYmi~9`aXkR}ESV4b5sTq*m!@NXnZJ9Ud>nfgNdsJ<8^7a*Q8rOAOpB
z>)ki<ES^DGwAW*OHF?zuVCJQ9D-SljR-R?F8YrFyYr_Oq3shCXQ*z1Z)x|2V0{QF4
z!V+bmutLrWT%7bEi>Vx)7-{5J=}FBkoSOamkX4m8XQcJ$qO-kZiKuJ0eQP+E+f{Zp
z?5)TCeIs1oNOVThZ)}O+zlB(OfDSF+mj2naxAvWJbI8?`+$=5HH2OV>IkyiXSw0k#
z>>$IPgq;)!FV57}X?rTTZ)gN|Gh=Tt+#}zPz9`k!tulm&hzK1)#9#)t?zuv_ja4S1
z+n_6DDXarkDK>dF?49Bs9+8Klv=}b#or|<*K+sCq3&8p(Jo;Rml^Ze8^^fx5X6ouu
zV`@C6tl{)i={E@W8yc$Z=~>O`$+Wex*}G@YNh_<#=9t)^peKFnYx9JJ!&XH%FPK0m
z1~S_LSq3K<gHs1&7(lHe2-EuqEty08RkEsb1J5HA$oypz>!wC%X=*xw=XV$jKjyyh
zF{XX_ot1m@bp5q!WOXep!(8yxim5`9Ni;RUPE6>U5il+h`4%p(2ROIV($Y3_3g|Wr
zq?XJXh-q;WktHfpnNU!TxX<}*+=Tq$&Oh*94hw|MOsmjg+$;c|hBjCOPApEte1Gv`
z>i&@X>~qerz@al1ZR`l`WMh+oH!8`<_`&{T5A;XUT$fclEdD4V2p=JX-vWc3y+@RL
zxz@|bA@Sw0$AO?MI_6zrIKCPV#R|E?lOcvuhK6fNKg^@jwKq<ZChcZkMmJ<6>#LxQ
zX+IdQ0C`Pv;AX1d(8@@5PjZ>nk(QdK0!xYSK~K28$50XY6^(4kU6OQoebCDY9Og3P
z;WL}jXZ{_ncrNZTs&i46(gWW6!M%hFv7iI}+k@wOjKL+MKDeU7Km_&`y|NU=Dw?$*
zCi><n^F2^2TcHxGE6ofn0?stueOO8yl?HG48^Zn_TWvxLx5;4}u#k}e$Ij$H*`4k8
zKkg-Xo~6=myX7bT?=UXB&!BEGMbrioQwVqyBR<c?1Sm>T)E#`Qxs_w{zu^J{cQM@1
z5F3`VxZ4h<7&ZQbptp3}t={;5!2?_0S}}iKAyHQ&IOgzPLYbNOm9|^c|3(quZBJo5
zYajP)0hvTDp9=%=_-Wa*{kOrhiD<1<mh0`@b}Q@WFRz#76H%42tjlZ(JsASu9v03*
z^1QTtWG~tO<3A58R?~KEP;?6X08-b?8Tj~RcT_4#{l)(_!d_$l&v&NwhR+LY@F2ZH
z>*q1e)~XXIIMS)C@kGw2URO#_h*uWBm%w!}?b^}Ll0OY;Y>2IUYG5~%`A>DgyUwwh
z9Q_Pe_s{qlVy4NtZ&%0PXy?q}g#0iL9KOtO4=BJD*MGi-lS3w>atu!PSAZ^{EOliV
zp#?wBk~fQs_6~fIw5WmG4Kwz1!b32A`T1rCistLorKtWOj!0AEcU}Qcnx6uExWG~_
zeRV0l)2YkH2zv<!*nc#T`g`))xPJv*NvF0-n#U1gM+T?aYSE@>QCbesw*R&u9!{5t
zGu$ip{lzV=4#7egvG#iDnix1UKi1n~yvYkowGCJ@|M9)~9&AEJu$9USs{>E$zm67V
zmb#Y_3|2o2w$bqymp-ADOkMr1BLphx7a8uki~Zt~%lly}*Gl?~!c@+`@QcBsk1ElT
zvgA`rNv(Vt6A;ac-H-J)Q*-6=!a95X;u7!Zn}mri`&#6Vz`Hn({NgTsLY2J+K39Zv
zu7rp-)i-B?mz<*1r}SUklCT||A>F`&3DG}=mGm+P;~Hwb)Cm$7{ePJ(M827%z#{(V
zg@H5HPXcpJKymixH5w2VDG%2Pz*(nV{--Ffft6R*xLq`ayuu!@pex6JF~PdKQGm;q
z+WdKp`bM2_aUkS}5wv^aG{2TZ7My<bq5F%2-aC@TJ>b&*+dL-PyAlIe224YwN!s$u
ze?V*u5G@azuoT4I`}TbpjK??9|6&L%<sg~Z!gH$gp>{^JQ!7AVir|Q7R(}sb^|8AK
zxT>ud5;}3fN6_IuwL}4<eqLGBW{#Y?m2H8l4@9B}f6r*X($d(G2yDCYw<Hc6O>i4q
zR)Hp9>IjsAFjF~xm51%|a?|+Nhifmo^6d_nHIzw9?I~R@6JY<2ucE!kM7gi&F+>xI
z;65j5nd@t=eR=s0&#*}2$}Q3CxI4gf8;6_GM!ryFC?DXh^B$b%5dI6cX;?gz1DVwE
zZBSI#0w*LyaDwVKRGM!W1s|bL2XQBY>;Uu(p)dPTPL@zX{A!>PnCHF43Cu38wloeZ
zsF@Wz45+g4WN9t?kyI3#<8MdM7H4N&au7rQ4%y}JAXg>c9O1?6|McCN?mycoJzv#p
zVD%_CU%XMjik(i2lwZyVCNjR_j<cHd?j2JELj~#G+%R=M+MwbE6pLO#v1lXK#o=-G
zr#hW%+Q$K{YJF*kFu@x_S~$G#_Ag@{9~c4i0vkqMK4Hv`pP)p5K>gQ{CJ&q(V|H1d
z@g=o1&c3FJcozu7!ujjgXZiRqOgKdDVB+P3U%zRL!vYwI+{QMrQ{-21^*CS+=8lFB
z9KfB)#4^`E)|7v|UwFa+EL>XB7YyD>Zv*V{T$ttj??2puwHgSMzhQNSoIM->3DyN2
z?jC!arYL7yC@cg@iemy`lMCt|sQ18pVsZN8*=<*t0-n=kwhIRH>>1!xZnjFnC44N>
z08RP_pEIwj-eoyQ*P5DMqDneL2LHShU>)?NVPR(D7%v>N)G65YfkY<qz%b$okZAHY
z$zMIWYUgMZ1-hQx<fm#tj1P%WfAS>cK@F>gf|}+XJ?T?{VUcpp^11~_>C*v*M_-b@
zaT#TrP=(`xWDlZIEIwpchV;9vM*koIt5{R>_6@T*yi$Iw4=gShj=tSrzgiD2V5olI
zn1~H*hLF9TXHWuuIH1_Wrq{04Q=N11HCJtHNTS(IF02p|URn3S;{lj9m?_MXGW2^V
zizwp*-T=!(fjbtN8f6^SMTbN*%w=PB?zt7K)=W{Sf)4Ieyb9G{FM_9HdZS?pT)W0L
zGOh;+zG;jlxJrmgD}niV)09O{|3F<Az@@0hchspB)gHYT^5+FTfLi(2ilDCRX3Wx_
zjn59-J}x<i5O$~_F+e5xs;V4$683D#<!@}s1d{8lp&AiurV=hM&%y^K7Vr<^5T*b?
z<QtZPnPIEo;%0rT4&HA-qcSun4J%39)Rkv(dYXQbFGLQ>qW~oa_W)EI=zx1-lvt>)
zOzbKPGzI|0C(Xw?@n1%lKQsra7zJyjkO=*ZmZFK;yxLK;!9gGi2sq2)fONIg`eUaN
z-VJ8xu5Tzg1`|dN)jFR369A@6$mC6@M!N9k<2j$I!i<DEN&{Gq5fXl95RM3GD3-Qa
zdUkyA59<+LuJ;?W$@5|b*G}Bs1!jg<l6i6gsC)>LXIMnG&vNvjpfR#=j}Z}{AWK!g
zLctACY4z9gL;F866+V#3yH)O8`&_PQbHugYA2+t);(}0zaeg9cuCCjBUwgFshy&WD
zy|>z1*#!NTK8)eqFXzno!?H4v2Duv);xduh)cGS&SQvpV0LVgMTGSb=n*v1{LIN;8
zg$ga}|J)HA%cQ#P12y(rx0jt@YR=5@Ui)TwZ^0np0H`?Z;u11V?nF}J>}#?t)qt_4
zHhC(v$Jo>+rxYC(0>T>oPgVxeGx7ZJUpBR^OUS#+VX%EBJ(&He8Q*xndyE5a*JSSp
zW7rX3@0=$IqCI&KRU{D^V@0sXZZMonmyc1FprX>19__><{Vq+-T<-xQCw>Lb8P^0j
z4c=eKg4F=q^T4F|4T_n4{|5GuyINTpY0PF=L32K{OJLeOSWzdrE|ZhO^lZXC#WkV%
zps2m$oaYM1<4YLP;RKCVXq#UB05FpUV(k{!Nw6hnC{3s4p3KvNV=39KyS*aw;LV<}
z8z8$;1GdV}3gR-J00AJGB@8!lzP!Cc4qW_Nf%%WaC)y`F^h}hv7J}#$*!DT6lBEg2
zc<acPK7+R9;vU$RxrU#^kN-$&Ah*Av%H!}611(Ap{B(*_D=h3}e@@+k8&Zep2eUf9
zUX=EyX#*UR7(3W>117*od+qafaL@-s6X2b(3J7SAkB>ty4ar~v!KTtS8#<nR^r1)o
z*8J8VJfZ19$VPXTX`G9ZkrCOKKSsy}TFg9t_39D`QIYd?QCxcvY;!v|>R%`>^bY+z
zcX^y6y|u1;LN_l!l_z@crj?_1ePS0x4I#gMI#t2-hF>;WpR>ySAB|YR5@|T9z9+{l
z2q8~3Jw3X>Y*Dbc&&}4)tomPFoo<$Ak?k=s4cbtVL-sjg{@Wg6p@RY|PwBEA!EBKS
zZ90f0y8L_(a)%6<5Iw`7u_Gzp)=E%=0K^fI^%dLKRaI=fylVA=)Ax_L%{1C(-W9YN
z_!H<W!QtUg!4n+BT9dccL>=txhL=cL>Y%~xbtatxt9m_x3UCg!Es0>_B97YMK)xRB
ztV?!w;w6KZWap;Ojf2+1QsU$t+|RtV&B^)M$yFh47XAxC@s!+ro%;PJRtHBMZVFgY
zW;SH8{R0#eNdx;EARg&Mn;jwOb+QOhpG)6z44?&uV9l)t?Gij<UCC^0prRU{-HE(z
zK=cK|UuCE;z^Uh8WgVoS@nqiv02`Gx-4db1E=}mZ?oE4g1^qTirMX!u^-piAn=IM2
z(^%}v7Hf0!RIC~JbCXSb%*@R8&vY8sO{ZMl&{LA}C*=HJR3tPOarVR|TZy}GxUife
zR&JrH@%Q7MfdSvV_K80lPP+0Y=cDWyNX&}EGYC&a>^&OCa(WH@v0ZU(>g%(@1yj#v
zzG)W=so+2&kw{2bSXekKOn2-U2R%JK$YpgKEPTA@EUSkVjK9f9QPKXJO`?u1J}Q%#
zupE1Iw-0q%WNvbtL?J9m_+zV|1>#10Us*<H6P_z>ir^KL0;#D*=a=ITw#|mTt1R4q
z;E?wv<a&QRWqFE}{dIa;+0AWrOR<A$h|?tT%7LEs->-ht&;I?RQEa4M!sp5*3(NG<
zgpbIZ@#7TLIOl{O3$Zjo@7ioe4Qq<B8a`UD?-3^+_`J;t%pP+7+ZzTBc*xzS4lHdC
zeCljKiy)4QDUnAY9bK2{rLOwM<h->ZKwT(EcX@v!;>giBa7$^rKT!pAoe)i}EYM3q
zrAQefk5MiD87IqJ;rfh;MKFXBj&Pl#oq#tV`hE1IKpO7!ww?EAo9gT333bHI=U{Dh
z>((twK2#`#-P9A=>9~5xLzK&i9~~ZRdRS8#6GC`|vq$A-s9Es4$Ky$7Yq5BU)#U!1
zYY#SE4-&9hW&@+y5FZM^L$o*}XbOO3;pCJDqkR7HtH3G)iE2|Yi?R;a!EZlO1~d|G
z;U;~M@qvx(L>2hg0)Ph%h4?j;vXWq@sL5)~T#1OOf3RbUUsK9Kzfy?ttvVPFSnS>$
zdKxSJCLsa43f&W0=f=BoO&jBzg<rZY&&3Rpza68Y`YgbQgMMEs2)U#QkOL#y)qMj0
zHM(||>;!bEro<(QLmslkm8L@&06o-QsnUrnXBaO8Jy`{RmXR8<TibV~(!Kx>JOEe`
zl>X&oh0C$nvnKwZK7E=2jv@)#X*7Yv7-z2^vpUl(4;Y~Cxjxryza+A059WX?<RPF@
z-~mP{)LC%&*;7Yr*fW%kZx+vm+3gRS1(JrcO0tl+y-@7o!O4znB^xC>&r0!y>WT-g
zgnVnLgLdBt_yHdLZZ(D6<_O$ZD|em(*Cs+R;Edl<!gv~y6$L{>!-BCFwa$8z=Smml
z>P7a`(T$F#WvK!67<v)dbhh^Za~C|QjyXYZipF^HsoB|9NqV;g@YO@jL4fM~ddra#
z6-~3=o}s_}`hIj}rMlWycx3lrtmy;`c0R0yCHaM-uKuI?9!t~fcl)Y$SrzzI4`bvH
zQbqP^bRZ(BwKLAh*}0%CQ`e>QD&UE2;5+5A=9+ppJw08ppQ!IPR*M^0d>bRAomIM4
z5aT+9zw!Rr#SLb-y!+H1=(x~8mcqireI^)b$js0px&5(l!A+%LY|8TtG0ntX;IRMN
zKGo7v-56gC#!a)8)%Ck(XNOs^OybKH;FnR<GoC4MV5j-zth?Ni<uemv`iJjNKEn)a
zf2;PAfeXW@#yuacpFVv#Xtcefc;p?dTYL9w#Dtze(0`jL<&-i?ZZ)-$^@QwB<CNKz
z)q;(96w?OYjS!SrKwgJpT0AH-T0TyBb2{{MWGX{_V|UoOVQZ&5y&dW&@YFLlBu$Vg
z^IzEWWOZ-|fApI8iZ<Dp1mmd;kuHi^fz~1v05Xagc5LC~DF|!zAP7V1f5c?KRtEyV
zTrx<0U(jjtaz31flMDEMDf>?W`|sh}M^t<zwDfi)j`>Q!q&HiyuFdze(6&oY#aE?9
zKzT!jFhDYF2l2I>FO(&N(s0oFM%RgXcq^Gq1_M283;7$P#G(c8A}y8Eu_>v~$7SY2
z)0<(#hN3bYpAspHJVLPog7268Tx2A+nyTbybze^pJyNrg;9$6pgZKbg4hq0>P$59B
z+wi<b;#z16%aa7XN3d0;S*op7uY=V&2Y$*X+srk%lrff_k?Hkj=C|!=Ct>=YZk6G_
zokqc6CKa606VS?=N4j9<R=<inD?>t!LWI0>0RilqCN^%0iLkTT4_n<DsL6wTBHxKi
z-p(Rx-r$}*FP?1Z(zTVmYdZ1gZ+NA!ipNEJ-u29fuxBd6ys=?Dj07`;0_xR%YcFgy
zOlaT`F;;E13kzyogN!n`Jn7t>Z=_53GOANRjse0P$T^22gW|Dxpk38K1-#>)0BkYP
z9;Z`ZDGN3<f-e>i@~nux<5?_Be$`(ex=%r8fG?)$$Y6&267!8sMzJ{?aOJVp<S8hA
zkV#$I7>24aUNPjs4dky2#u#|Qm^U}$N{e~*#Ig*e_g8WUFl3D;d<|qb|Cxng{~L_W
z&2b!6&=i}$)(u_S^mUSJDtV8xT0z22mC@U^N`&&BkQX9#K?{noSf&t7{eA(m*Dp9)
zeYMFW5e#n?7-_^MOtcc<(CXBmdYyF6r>2mzzZW^g(?gDZ1`FmptMTFYzp8`037&ir
z^Y_WaB~-z+ci)FZAjh~}y`GOv$#^2uv2Rz;YonXdusl_C+EXD*Mg%>egh&%W+!V35
zwHS6lSx-jsMK&NBg!r5t_(ti0TO$ZUlc~Ku#bytZs-y|5hqXeSZ0<z9CGbP!06fTK
zz)vhB_3Z11Dz~~=D9O%qbfd5dQbbE$HJO+l8;K{zS}8m>IrB(=3P9g@0)N4gniNw(
z;tt38RUAMkA&yfXP#_P&LOGn9A+<12P*v7@$vJ;Yf$AGu6bAXj5txXT5=&;l46`I+
zB?v0b-I<iQS)tcPFoA$NiAY8>w>#n3+CI|+I1Jcdp3Xev(eV8#VWNH;7|)cE^d4?{
z$UsN{i4gdM&!z{zWlw2-Uc-p|qbu$V1_zRrW@vJ7_(IyG5}qaDwKxja{)7bYw%ym%
zxtWFESG{iDwfp;kU!X_qPvAsn9=qD`jOdI$ie8_Q8y)%ee{FO5{TKcpI%59+zI70&
z#yao7OyS}>pZz~-i{BmA&rfGxha6sV{Q(&ggsCx_e*|%};q`y*DEfW30$gDOS^@s{
zulkg3eH1O=Xg>D-x$|gBvW^h7r@QDsdNDMdL&C=;d2Q`TB=pJ9FVzE+3DiwSRb4lc
zesx%qde<(YaU!(BTLN#AB+9M3hat5B`-u=>vwVIR$#eZZ*Z!lMJhS>`>jI7nB<<Jx
z<Km-7kH9Qe6`U?loH)U4{PqCKvOv;wvr!SVz+Y!n{Op;6y1v^ipFRl!lXglP!G^w*
zl-7i^d>#uQeR3VfJEu!}k&J_W?TgPU-x<#xA7tBbDKB5DAyoq63lIpj5auA~3>v{N
zp3tPO|Mp1?#}Qlt9=foNK<}m!)U;2AgLtW3$M(V0)Km^QajZ_quD2iu+rYrUm?3pl
z)sgkJ$#pCqdP%|!t3b~mzoe}VhwDBILQ=U7PP=y1xG>Ys95c`jDQjvz;<f5cN4gA2
zk)?+vU<*?C<xfo1gKSNaYu))bwVoN29}Hk(VxoEV9uxK9dfk3@jX2;gWS6w<;4F$u
zN@CP?=(tA7BkZYX!%J#yZC#qnE6wQc)&W7491KP-a4T}auox+FI7?SvBwdak{p%z}
zl-PDNC5!e<6gDF5((rugdNDK@!mdKCyV+xX-h+gcSL-YF>obBPpeExi`f{7`a@5nf
zxZ|i(DF{X!TNg0S<sDJ=KzC?|wrus&ms!}@nm@hvn@tv3#XEN2^r4`jpqe?4iHb!x
z1BLYTKQ?=BGqEi(D8HRuQXTl{QHsdg*8n7ZgOHf&x;v)0|9V?2NaCQekU4Zma)!s|
za;$W^P5`N|hD}74AN9IS3UyrXHlq=v6iK=B9vTtlx-QzFn?=5(G#(3L`{?NAMr|Qr
zJcVCs_gHOjruMP&Snh(}gUv3J#mS+eP$YJ9bF&{w3}a<xekvcZsSMRXg#-obn2+OF
z&YV$dPL@}9aVdmPa8ALacz410sHeqF@2FDf^hHR3BzBO(A9KNKr%~HEt6uiVcMg@2
zzRgK;&1h;rkqltv;mM`(r#^5XIPgvjT%bMJ5TSg%Z*4A*2Rb35j%#3-q;6qBauUhQ
z%~b{0*Jfa-)aA<p0QN3g0NO;!0gYy?UJUbvhf1a{EiEnAs!!O-#l@CJBaS|wl?3^o
z^LTFi48+?OAcm=_ub*u0r}*Mk{zae|x<?_8S3yBRyJop_x-+LYoo~KiQvBkD5*X${
zlq=LfdwJDy86bnD4{tngl@GqZ(}LW4s*brJ$YRWCtPgsH<pK)<T_~7D^A8Pu9$H@?
z?~#{k_Bc}YRbBa#kD}JIEjy?m%NU9t@=7Pf`5ov;`prH?*-q;5ov__oLelSqZ7vtv
zCVDAH&Cuhe*!9Gt=?RL|R6M%Q2k{NQYw0&i#hCA#CAyb(jm^78&16r$tRMQ)DO@BH
zJ87brsKf%lY}Q+4(#6EcsG_ZHVU)LtU9`mJ*u6{KTwHNRXHqoSlOzL<u^bB^brWq_
zIXU&`@-ap=>TN#W-rVq-Uk7V1XzP;zt#oV6b2;2DU|#I~t9uogDZW+x=GU(eOfZ&V
ziFMB6;$Fta#xp?aNEaO#o2UiaP9n{=H>Vv$>7Eu86x^rb#oG{d2<{mrE0+b2g(Yn9
z+nzlhE8?MNd2SQCSc#4B>C=xVCM;)XX5NryN0;X(3+zS+T3T9kLR1)!P*OS=?u@jg
zD1)DPXpD$Q=EskQv$L})1qE7;lf9~vl2wE%3Ilg9F2{N2V#2F=K7)82lb#Vf))48G
z!a{-mPV4jO23+A^3(BO+F2AA3wI{Wu^A`4S;Fo4blrsw{%Qi38IKggMSyeULUqvG)
zFHZsy<mm8lLz;S)-Q1XFbMO9z(i;0VgloNg`SSitXiS!tlq3PWF7;-LLr0HB=jmfY
z8T)MKtE=%sE_1So;pQ-YW_8tbJx#}?I3q(&K1Q$+no7=24az{5Pi8v5>dE=E)KuyI
z{{HEh#oc>Z(NHa_NkSttEIvhLG_PK_*f}@BOI^mKi#SgECd+lGC?Vle<T)!fu*mg4
z!WX}`=I$l>xO7y&vovfny&k-jBL$c&jf@5Y+9?-Y7VC)ZBvt<C(AvTH<D0^n+copL
z#;2T%Z3;m_5TWGZQTo@%XP0AzGlH1prI&ISwx#bKySuXWMt8m<o!_<cYzE`5{rr9u
z7e1clAA+$ia2Sv9_VLMeoYcF@zulnYKKYqrM@a2iR5QChe-DkEHaf!+Tb~>sA5ZKO
z-Ly9*(YVJrdjxhd&31jFjW{6(^sy%kw}<;i2d>98H7OzT8tpw(XJ`KY=XU%V$?~x^
z=DAabTha|Ah6L&S@C08!%}5IBdySejJ{5%E*|aFklnIfK#!J-q^%Wcb=ocN=iNj|+
zaa>aZLXTuedy8FIIXK#Y8TWSdjKO)|KsFtAx@Op3vv)s%*0v#7ICxm1FW2Ylm%8gt
z_LZtDD+ht{)V5O{BXd=y4*oUzW>5Oah}rDioHPMk=dV`&hFRJ2<b^OVFRxV_<t<Ok
zzLE?ci?%@f<MMCA3;T+klnDb4g>s`jp0CfalI~p+?JIGs{o{cOD=whwi4->eYL)-<
z1<!q6r#RVk)YZdWg=3*}w*A7FkHopppN)G;J@hFlDbcgg)s2pCd`fZ46N(8y_siC+
z?f*L5Ull+|fNfEVz@cBlp4Q4b(*7#x<;%8}i<{mUsMHA^3t(ho%5__IK)EfQpLnCG
zN&vlx+KGn^(2F?-e)~wk?lSf#FM2yVQcSs10aNT4cfbYVA3S(40={<8IZ)BWWT=~{
zg0ZQ6LoCF)EquB7SV0P&r@EM!n7_oP5AyeGmfpU-f9UXGkU4WgVdc_^$K~Z0!Gi2E
z+Gro0HL(#qW8lOry7q*f&d=G|xuvTsO~7&DX;zjzoQNS^<7%+^!?etf>7QTDe(ANm
zx<)L89?JONX_=4vy<2R2B02k^obrLczqz%w0t_JXv@$hS0I&O~%O)`r6dxSvB4_Vx
zrKy>mXFIZ+?Z8f0(ACD-sIOmD06hc<s_-TQ2AM~NGKBh}W;j6YhZ`9DRW_-4zBVo{
zD$;?Cr2WmCKW~@E!5IX!COX}G>x&#=GITr6<z2a^84@$;e)L<g2hN|@Y&ZUz6u)gF
z#w}CXOBPGOe}wy<KpG<SQdYbRGAZ;jVD&}X5%iK3|9vC-@=ReSiyhz}x%P>Z`K$2P
d|Mg2(w<h>4sa3z;eja@tUi|W<Oi_c|{{xn91u*~s

literal 28805
zcmbSz2RN1g|MzK1LW@L5p)ylO$cT(%@4Z7t$S%7Qm5gMRz4s_1dz3GV?3KeoN%klX
zGN1Q-IDPy5pXc{n&-J*j%GG_&=l<O9&wIY!ulM~_NkNMAF!f;+3Pp;RzNvyj9biDA
z_G}$G2>){{r}-BA!|x=a<)mt7?&NChV1|-6cDj4V&gqV&$ypaO2S-ag+p8S>99P)R
zS~xk~brj&_wE6P^4m*e2oD2&4`e6~`yVBZ@C=|Id@@G$mNV+8oW%mnx^M=~Jm|5(7
zJ$2`;#-A%?B<n1PSU5_3lFHIk`;&OsF;@L)Hs)PJ-F8t<@611)&bG9ozKwCzDQamd
zDkyM3vliCspS*cY;=qj%+PUTReK*i-N*qLUo<j8G^q=_0<JNyu(kJi@FK$xP1vj3D
zeIP#z#{>Eg?EH#au<;Gq{k8Jh(c?S6`e+^#+q?7Y0*jdR?sWr+L&Q73)@C1K*t7HN
zJqiZK-Rt@1eE0ACI-<^7NOD=%*f{e#U19bDSzU;U$p=rj=RP&bZF{yw^Y>K;3lnYZ
zt0FU0UE#-`^r9DYyZ-BU!-_xG-mRdWE33k5XBNnp1U8NZ-`cmc>i_>%cE0bkZC@7S
zP=Pg%d_ezJi>*LMSNIC!?v_QfGjrH9@85qK(@I?^``-S`ojr$11C{RHwP?l`*3a!e
z*M@IXlLM`QT7r*{k%WYESdUe>=_`H8sr%m@%G8vV)5QG`GiKI5lqQI*=-IDd#}Dk^
z&ni%!eB{x>TlRv1)Y@7j3JO}K`}ffSk3;Ur?LJ$+BWz8;`sDHBlBoWM(|(B|AxiwQ
zJPu_s><)^A<?iWYnYoLDjgoV-2V&AvdC3U^7iBe}G+l2m*pB^wIG5ei+IT!L+xzgq
zBJO8nK#{fPyBv+^(9lq4tg|Y&`RD#dy_)-r%vD=!XKV&b4Jarmo(0dREVfpN@(tcC
z+`I2lP+4_K%FX;LUMW^h4oxqwI5BZ?9@CGP<zw9{+;CH~n|tVpt}=LbZ-uhR8x~0n
zn^Q#TBSr>4jQ6k832iJK5yEwgs2LdK1#ni&jmNoHJ2<#lHas_+u38zgy}S90Le{xY
zzr?B~s)w52A&gm}Qs>yQ7j9$Wkxtv2uGwj6Y436VWE9hpHI>?SRXmy<9kkr`-+Baa
z-Caw#K2}__;ZRCTG+*(LyEI13DZ!XGB{vPtPg=C(nN(f5|D;^X|CRoZvilh7R&U6%
z8&<3BBO>dq*}@I4y?$OY>{XH`UvXo5bH0mOXid&}Zcw79M}4hP#Qf9cBSMRxo2U9X
zB~)xees`+|Pj9Y_PtTSNx0CV>>UnQR8hRPHFMpqivSywha;MJ_skZDoi1l2tiQ<{g
zcbhFPF@0OKRe94~Y%Sw0`Ym<L(Zo)xbg#m@0W4N}=8-#^Hqxh&tHXdU|Jk5ReO-o@
zf+96LzuJI@hexM!RUF;f5J;n@r<ZcI?RvVfPZ(p}Wv2lfS9B;Phle6v@OZ|$H&Z};
zlCE7<)%*20ho-ZEbe?Gig{~IZa_;=V`Shb=YZohek{UVC%8d)6vlnyPKQo;s6~44%
z(e34jNvtDVrU&`IzH-zrcY48?n&!oc7P$9j4#Ux?M?*)Kx3F+%cDP2-edPz8^Y&f|
zNy$r$-@jZi@%Gs6Z5aI`%*M;6)FwxlW^JgI+g3u`ekr!jd2=DpJaWh9+&vQ9n9Pzs
zFmok{^`rR<W2y_z!5=?fM0ZwumdVJ?^p6Y<Rk<^vD_qAnCNNcvgXuXra;d3Ip(!yj
z`ZCfPE$&H4Nos0pDbJogyY=uR{cuh3F|oDMV^3+9YWb^{{^?}fbgw7F1(I|v*eVn5
zsnj<5(*mPAU2JUkv_JJs-w4Msx1X5z7btGVd97J^{vJEt61$$|M@o}eTPun#rfK>d
zzn#XInUkXy%6)gl=&_%l)mYP5)5kAa-@kj|R_;%xj!$hHxK=U7x?n8W4K@<DR%%W;
zuV8DkM5@7VJQrJ<Zspm@`-XUpL?!AM+1ou89&i(_S-+^CuXsAGbV0PRdB?wIxH>o<
z8SppU_$KE0>ywm>?D`EptW&OnpiNkeLb^ttUgE?AStw&&hQ1INBje4Lp>-cRPp7oG
z(py=r{NsAg6GxNfqj@a`-Z|kWUS#N36wutca@7VyyEa#0hx-woZ{3wfN`2WV;V=nF
zk;m^ykZ)>E&gZrD5?(QB5hE%;FK@4cg2OCDRS9}mg$I+y^G~x?gfrd1tAfw(BX#Wo
zePqkO8{gXSM#tUzHXJ3mLgBgfJ6)&9;(?fWol~#&_(b`%ZM$=yyqc4f(<bhep+}jC
ziNI7KpFvksIO}(pim=ctqT6eIg;9L->a&<|eR=~K6+OL51Gh<@s*PWZI#p{lsp)na
z@L#r7I2Xjwyw|$ssRwI#;8>p;Rj3CWVhs6OWxE<YQ{5c2Bhum{O<lBiTuG?aqmM=v
zJu_D-InJIHRZZVgfj<TBe-;(dGiJV5_!7!()qR?pXX^Q_xvP#p>I$^jNa?yFQi5nl
zxo<Vl2bXP)MaJ7LZRI}Byz7;s>-1*JO?mdhkBaG)$<dbk%$mDiAHBA*sK|r{AN9V?
zpu)ILV0NHHGd-49#@N_c#J#F{tTWP(<3*2E5C3?KduMUnArP&j`8<`pU{wX9W$&ri
zm<UaC2Z^06ZzWf5d|@;1FW_7P#~T*fX?QzcX!$}u`^9SsjdanMvU{>DyXNlPZJl(=
zDlgA^&s8#zyS=qy*z~DCH9N0d^6gt%T?@vRy3sFQ6Yn~NikR}%hG*D1#p!K3tY7-G
zT=`;45RULX;v4Ple@=BIr|;dnH!QAN+qy3;OEz-9(65iT3Uq?6hYEXd>FN}GKS4^(
zeG@!rSbU8ktEN}#)D%n0tDjQ1*?|S+nMXt<&UK`k*8e=|>PeM7#eYU2S9>wnWwxnz
zqT`m+`s_;4^4)1TD~15$iTqQzuE51!tNBEhP5Yl3LeBM<3UoG%=~;Fje(^cY3W+DK
z=ZeixC0Zd}72HdQJRde|I=|*dVj?MhF5R`eZ+dfOyZQ|C)hsQao;!b@$Ew>xKF*_y
z%ld|lik8-^hUfgcG<<n|e8V}RE#|8E230(sYxLa4A5uwOI&E$I8b^P=TAs5Jy>TPc
z12^nrEdBQF*GAgWcN<r*Yd-|k1+nG0rMdFa=l^KrAFKWJyG)p9gl59IcBNz7$9rML
z!1bDynpUYI7gwxV3DGNkGA~KhE%zQz1-=8;Vry@!?Ty#4oK~(Mz3w{)RX4G4mz~>r
zu+?*L=6u!OmCU4*=g@0i7j%m&GCIFM+qpVoeTX5EsC6>+hW<G<joD5+N*j&TIx`pa
z&gBIL-;fZjRY!7UN{09oeeDAjYXhN2e*acU+_`RX1FkbVA0g?^kySC}NojjW*RE^5
z615w^P#*gk7^g_5sZ-Zm=a|rLZuMljSjUflZccKDp`+Hh?zofJaF9cpP}I+_l(ZMK
zc`F!qRxfh&4Y8=bd}Q<MLsMK3X~+A+{^lO9IQ*M!b``1i_8W4E-Q>dlIo==zL=*RD
z*nH7V@@5}4-hGUO*g`F<TNfjn%^a944o5a$n*8Wp@>1f^Q%UDwvR=c+m6wcFg|_*W
zcAu{9O07LkJD0cr&YrA{i!U4N?tFardGu#SQj#98u1}7JZopun+1%cECk-$pp{j}>
zIjtSTB5i8%UzC^{AHUY8#P8lBT}=GE(}dE4XV1tkGBPgRtu@=t$N1HimGh#aWF#aT
z-hGKBX88Hii$BZ%-3({X)XX`dB8vcn=qqZ+ZnzK}@hs$e8H|~gl{f3_4=`&!8hzWp
z_vGo*y4%Cq5_A0~t`8LpbdI!~8CK+Ll~<ihWD%;o7adn=;=^{ZCUr-UEvL?$$r>3^
zD$`Ra!`|^5=+$D2pmg8AZs8lUs{P`<i;&kO3cJ=T;90epV6f&A>BTS5F;js5uBf1S
zF~+nwO8<Zk2~Af5dac3Vvf;ibBbw7II$2%tuzcR3oqNn4U|@`z`L-w4X>6o5G{ygv
zU02*UnU}0P!9>(u^w3lD-?%SB)L;1ZQhOAT=gd08Q7F56okj|-ztv@TTMFHpI%=Z%
z<AKBG?4lebWCSsY(n!Kb0!YZahdC8q^n?h@xAko}ySH%cX8tx*42%jNA+naQ<QRme
zT!@@+UmFxBxJsXQP(oaoS^G-7Cb6q*#^r~btUv$x`ce4$D`Tp)y5FCsC{83j{6)Pv
zSI6#9K1hhvKD>Ug1QTOzRwL(Zemg3=_eaFUWWLKEZO2fFNyik?(TXia2CT`14#_n4
z+@AdX?+$#A9%uhHBmB1fz9}EN6EYi&SHd8{7}_<CiY3(#+Dj%WOdm^SN!P8>F49g_
zSNK;#AVJDo#Z*!J!V<9`_7$g>%8+{(sM`iN?j9A&=!%$hQAWnm3c8w{n!P!G8nf3j
z__H1VJR<XX-<tulPs#h19ACl#dKAhU&R@46xc|#17#J(Rbv}r7s!ve(CGB?ar^f81
zJZ^$9zJlEwERK8;rf$Ea$E2=+<j(43k^M|NxmoRg-;jkURJ25}L1@y1QN<Oqu;~uY
zD`UpV)I0i7BYucDf9mA1lp6g(MN09td$QF-`ZaAcp*xq`n+`F2bv|D%H63@=T_!Y6
zFCvxHT~>~uUAa$>9?vyt%G7tZb;yaa4L0{El{hfQLr6+}G)%1LNGLh<GP=9fY%oRW
z)2B~6TssrRV;#Y)5c6e3z`rgrRW{OUvNIL)#`w|l{4ghasw+J>uk_ntea9A_0-f9z
zw|P<;UW?_Kew_-JT*z=jU%qr+Y~i!sSpC^Tdr;>!sK)4lPZ(vT#8@KMrHbHA+-LQD
zW`&`TcIu?na`OwKiXxjuLtg7Pv)BqvdwcuFDvk>mq*k!5@eyp=NpV8%Q)|=teN2&h
zNt^2{)12PF1LmsN=ge(X3fyp3`rey38F~30iBtM1*7;Q$2M!!?8+ky)eY-X02iZR6
zL!@sef6A`2a@S@RyOUWiH^u(@@a;3NL$2O#RSTvQ3JVEIIAw6}#`eaz2u&3S8=D-t
z$i^GwIUoD_cGKr)WFWObf?0FKWS61{a<iqv`AH`MT%*XAvY)ZVQ009YH2MW2R0Y`b
zsjTd!?=Kan9+Ge<iHV6h`ajZ$pgNJ{&pDGl8Sri*uv?FG;$+_9I<3fO1e8FbMA!RZ
zE6Gy9wklsv(bMODdU=8G&{?KSkRO%|Is`CIuFu!lb-L#nRO#^Z^OvuF3z*&~jXq3H
z-bd>?$N-0QfP|9!*2&9Vr72q2Ye~_JlP}t?KnD27N=D?<*goDa>`|z_GZhtL-JA1*
zG4S-&AFmvp8>6T#l59#H<&q?wf>px1a$$!VIT*`7p)Ax~BnW$a$bDW29q9io@KbAR
z1S4*uWAv3Ht)PpVwDc2~S&Xw-F;xR`RgQiJjjryQWUST1{Hc|$u)aQ)^b8g6HPh(0
z(#je(o3~mCq}I)zWC>&K(?0V%z(HLf_qbzOkN8I@&~yzwap4Lgn@+Kw%l-0h^4i+3
zQ!tJBG$$x2(>gmlPh?$SPW$P;7Wz)0K?}_}crS}tXeAedcDEqSqElNbBe*<F>O0Ih
zN{6zF><`?aob4CV9KqgoKKOc)ukZfNQTlC*mJ;E-4<A%`ZoQmyslRMh^QL%=i+R5;
zuDz^^#}S>jRmLbT^kE-&)@>qW&A{dMag+kxziWEPW5=CTi*yc^nbaS~x(<6jd-}8k
z>bb1a(zN*}XDBI|(T%aQS{fQ@A3uIPk<~o<qK(f>mwwc2pP=<<wF>)SsiF7ky=(|r
za{A{UedZvs(8RdK@3T0)Brvi*;aDruKD{87Tfo)wYpmJ1O=#t!fPhYZ)pAt1^K@@c
z-vwr78I|N|VMwh+p^gvCJN0yVly7wHB9pM3e^!i}MF*ui|DVFshw>ZlsKf7HW92JD
z?i8m_XZ9Jm&-#A&aO}LKbSTuM&Y#Q5Z#nlRcpfg&URq7vq@cLd2f3Bd@|es0)#9Ug
z{q#{>utJ{o*}*-g*yjzS_SeodH8rUyC@4G{O_mH)DY3;abx6@)5)!J~x@T#b8RtI7
z-#_c3@AZ4kfNGD9YWkD2n>J!1+D9gnTkgAg*9rge&LkGgQ6Y=tZJJhAS&Wy?pHJTU
z0^WxaUFT2Umx6v779O7JK366MbuwTEDZ*Q;qqpY5!B(H1xX|kz6B(KQbF`6_f#HU1
zB!`enN=w@7tGBH%MV3+5?-wx3y-H|rS7O&LxLH<K7A5RiUJj}{n3zCH-G5%kHE=R>
zJ7+NSLWKFHvRkhXx;(vH!G?cWRE)2=e@JF#rp_Cq8;@>TT3X7;%4Toh>r6qjT)e0x
zFCWOrLoF)P`SHbh8s89+v867>J{r5qMDOkOVV%l*Z+CnkZsZZU)s7FuyrGeD>iMym
zsuQ7|a2iSLRsAk8bJr5$&)tVdg5x<WHI<a63I$b8`<<kr8RBTv(wOaLx64sqelJ5h
zPno%`$0N-fVC<qT8r>DQenzyb<1Z8HhICdUdnSmKTT?4RKG;w|l))ui#g)F(yZT>C
zz6MFBMWI`R@5EP<mrUqIm6eG_8=^m<;=;qD$89iWpJ<)yGK-_hgnsq&no)#B>mAz>
zN>l(`9@4+P+?|O%r#^XiI#EIwGT%ROj(Z;iBj$Q^efuzng0h~LkHa$-T%=;jr<TLj
zI}6MngbzF>W7y-i(YaNiOUgcMkfGT(^CxTNJ_gqV_r#uG8YvYHO&PCl?RD*!_>%>s
zo%Ow0;ZR?zP`(s)uS}?OUPPg<I+TT=NVRRqbrUK-IsrcPrJu$EYGd6?u)|rW=-tE;
z<+T@X5Gx9yRv%;d;s$T(c=#l}p)DUFQg7^sG(a}?{KKUZ;!6coogd`ai;ezO)mnQ<
zG_V5fTsp2XFD|0j8arn(mHGb+KHPb{_KWasYrf!_G{?1nK7RdWvF1O?l9j>rXZ1sH
zcb>Y-OX(!*S?*46e#vCxDuPRzCYK?--B}_??9fvePPX<mZ@pf__bvfmA20P5X8)Tf
z!FA&Jc2;IJa>I7b&?U@@dlC1j&nJqVOd^4dfzbm}OhKz(3wfa_H6Brkv5zST@<Tx)
zAp9e)(9P;ziM0APJ#Z4{;eFQ#Szzt_F|iNnU)cP%yzHNS`>;36^Nou4Cbu{pIZe;b
z=3XHSq>D@Y&{d_>+@Tbgy-KpQw&G4ml4|o|feWNF#}kPfaS@E0u00C5{pzNKBxwt@
zN7(vXLTmXw(aJ%($rXCL9sm*vr?(&rS&%k_(X}$qZcYxl`fxJ&?aTT-3MKt!J5RSt
zD<-{KbQZ9Kox`)~H_W;a@$cawX;OS2(-rApxrqznokTP%)?XVu388*O6SAaJl1wh`
zv$vN*7=^aRTwnpKKf8N$^tjh(L|6IrX9HTbQ8>FKc9y)m|Kf>feSL@DQ2A{+D2q4;
z9PZrewA$Pnbt)VDlVmU4hX-K&dV^QUs~>fspH1hbYR>JN)<4P}FLj8xrt1Q)ns?<{
z?a-yEC@lB_Bf|Zw1L6LY8(#M1wptGvCpqJ7Rb7l96ApHj10Fqhy>%)xQUAQU!Dy#A
zMCi(fKM`6OPR6U*ycl9`dd4j+9~Ziu_Ve*(A4dr}q)&t-+?|q!IzjtX`bTrFB{Rtf
zKepa95^_in(438-5npMcy9##bPH&C5ZgT$mAC$Ym<t;#<(J%d+dRMpX9o$ofJ;U-g
znbiM?_9}AO&v>F_oas{Lt&C?Zv{65e%dKK;2?fXkv2RGN@eP-3x|*Vza}V!eDr?lX
z^&<Wh%fb(i9=|5jmtnN&>>+YGbZGdEVgT<f!7P1Tf{z|weR0*zrQIgkT{@I*{haFL
z{ZxWpw^u`7Bd`<@0P3#nM^<`tNPZ3KL(nXXl0ys+B(;u+dsk(|mrEY7G(;C~E!daq
z*#;9-s|b{@*4~$>A0PcJ3MVS`>)p1Z@BCRJ5|)S$>E@F2z9s^PS2OQoUBA4SP@-9Q
zBbV)sWn%J9V<bYC(iPuX_Psy+=dvMOW-i^HF`y1Tn)r)4(yP$oZ(O+D_Ndrid80xd
z?&)tQ>wOPe+%|q}&haUvu}+d_$MWQF93tjczN3{uSHUQu5s-)gu+f%fgac^jfCXAE
zUt>@qkHN}@F3nR2hLu-*A^0WC9x>^J*LidpiBoC+d>VV<wW3`9OE#Ne_zCjoefLKJ
z0=~I*3N155mGy{%tY!6Xz!{D|rdOm5@*zG{po>GY13C)=Y)2?zcCJrRQ{>bH&9kE2
zTsMV1EBV_91saA~OnQXz`6Na1fTVLIW6Rn()q!74gs_t^%iz0Tp|eO?$Vsw|EX$=F
z*Y2<Dl+j7RAW$}k85r+|viT*#;@Q3*&&~>|rHXJ2u|y8sBEVuc5Lw#yo_jchL>45A
zv2l4}u;KEj#wt4P8zM@A4kGEA_j<vIcKc7H$LAgBpT&*Q^~UKb27N{}q^sF3r_`f%
z1E0@tI6q34ZT>3m3|Zf%Ed8~Xq?RnF(m#$*4OzSpUx6d%cQHFb%v(2<A=p3A3V(h+
z+tAagOt__$V6Go?F1x<{wl4WZZt<T2yq4QH#3%B|EOn+~EOLHJ&uDcj#zP3!{|bE5
zLXx$=OUHptfu^x#iw2NSLJo#tygIZDj3W|Ye=Fk`vK8-SkZD}w9<6iY*ZX6C7V5|i
z4h-bt#Y0kLRX22e)B5+nCIZ(*StlrIb7~B_6+@R=%d2!Mnf{!g4mn6yrgerkSyyqM
z1HHCB{<`TSCjs&C=>_d9N*a*FwP*Ze0bm@GeTJ*?{}InLh)=_`n99x6L&W*%5tUt_
zWsvTV{UQCv_NH@>X5BVI@yCa2edIPdpifZn5oG_w0H92Qi$RAPZ175DyPW)UJ}aR9
z%&#w>HP9rTV?#sv&5M-Z1Q>7rtnYrgCGT7A)<)xp!ZieO?Mdue4u4KBp}s$A{o!Mh
zQ!G3@>e0M5Dw2|ZXUP1`TcT1S!=!VxadRsd{{8&~pqtv!e0Cbj$}c2?&Sdr(dRO&7
z4x-^xfXp&5PO!s$ulcSDU@!B@zb0zJm9$;O^#!aoT|QDMyHn{}aJ7&z#Cxq-j{W$-
z0tr1*=#m~}nuKmy`(m32X9YG7O5LoCjER(Iq)^%cjOz6Hr?0Q?%W_U5q{Fbe`RycD
z$omn3;9QFR;M{UqI2|7yedaA(4)Htwkb}BRoS2x{?d#)HOKsj;i=}-A_r5-+=Ch4~
zs$5-9FNf<^LyX$nW5<pm#em`zov1E%rEb`qP<G^2v59}2&RcQM(GT1y)+v9S;}i3I
zVt%)!3FfxzaxyZVK700=mJCGeQ;pc=(Z?kiF3nzy97sM*pPK!*PTnlMEf$rTmL@r0
zvt9jbaghQFxCi@)tQJPz11eN>2+|<`#h2mgN_n)8Db{ACCf!^*&-Ulc(C_q<FeNS&
zVn}sUvpH)=bB5;H-Gn%gUufs~p-tbp$>w$M?!cDF#tCb&eYtCmW}D8VgT*?Lx=HCZ
z7$p1Ps$eTJUg962CxE~SeP6Ak7Rv^0#XiEJTCFa8l~GX8fXcO?un<?Xy{SlYile&)
z;Ae>d%1dl)IsGevPl;E=ifsZ!o_9q4)8IFqY3(-=nV&wDTU13IekQ%y?~O947qutZ
zDv=xQg6Gb?R+C*$hz&Wm36TmbpwS(p!6F=JozlCBKicB+b#2R1`&Zc6*uopT&N02?
z_fuYfj66ZMU%men<Q<dV!?V5O^R`NQ2@+`9X!?RWJbInbw`W)?e&5yu1ONQY^%&b{
za0j|Jo<6-~L}S_6XMM$_gQbLrSGO)p8ak~{+)SP4?3&V-SZn#f?q>7r@?)an^@zuj
z?Er-TwUmg}ilD(wDJj`d78Vw{y!{s15LBd?msH1}h=S>K*2UimkDgb-JFf&<s}+Xt
z&_!cJ6BFmWCK^5g)!}I5vZhZ@dloGb?$^|rKVkA6FNK)E88S07vr8A!joU+^bb})C
zR$g0EQ|AfA>(KlB9xAJoDw$A>3ji!_F%$tq{}W4V>6$t40}&X&QE0G5$<4Ps*1gi9
ze&qCd=$FjsEK*`akDn4~6?OG+M$5(^+9<ADlAD`!o=Y8THREGrmQZlXNK3bOrpitS
za~f1?K}ojFZSv0{=gCfq_wU~~wYK(Z8hSDTVlrS?qkmrVxy784kIQJMs(|HUwMtcu
zaXg(trFy;sT~?klqN;cyv@?R?s;a6M8@+#cun~ZWu!snaZF~Jg+Db}yKNpJ#yEq-X
ze?2|cC90sHAS^B}kKSwbhPt}?v!I|}?c1@b&<ioR)$rVM?y`@|c;78|)=|;dytAx5
zP@gRQauz>nS`xKe0@Su$xlXq|G?|o;(0$uA<;syuyu5?yjT3fIEjZUrTe4(1S%__4
z+noGRedS2qOo7q49ZJO?(16D|zDvF%t=D(|Lf5yteYlkXRa35%;F9mtSll|nCy(5Q
zoN4xRCN|lr?X?gST9Ko<)31t&kWwvlfy;KWKtMx-{}X6<R}bQapedxocW)H9xg6?v
zPymo`vJ=1lzai%&xO9cb2fr+>nr%{08}(p>{JGu7{(!O;$n_v5_-;JM45SR_c{F9;
z{UFquwQrFP*xpgev8C>p4_*3r`!vQt$(E2Ulfv$WM_R8Q=P7Ux%ZjnZt_(@q3^fKJ
zoE#J?VHP~Thfj~mgxv|1DZZ@VV*}H;jvt$Z!#oSw^1^9l2A7sHuP3cjw8_+wQr^G0
z#UUeQN{5^RNIdXU+lJhPakm!hQh>nc#>%d_QeC24PeJyQb;qM`J%_cpDC?lAV4Qjj
zAmbO?4#=F#Ee)cskcYk2-+^!!R3Ux^Q%9c6=I<j{7c&i6j!?6nqM2T*f47gYs|`TW
zN9xx8@tf-TB<`#ejEODuURN%U(=Jx!=zY4Ai03|myV*nAVbl7Xs65?}IzAPhe*ZXH
z9qRD1EBK9%a6&pRVpK>~z8zz*HoaO6`B0Hn;|(mgU2Xvh>t_y9{Kr-yE36IH3p<{F
zDxWrIbwPCOr25nkzFsRcjYNX$r-zzl^>x_l-6~$Q3_s?ZP;;ajdcV<j)EI}_B6f#E
zG(rmxM?ZD+c*3><bqXtyYlKv1q2cZ65{L*%4Q2#!5`j3qnrw?L8t$W^-xg|GNVRq)
zS+u0OOu_vbYYSml&<Ln))91=4jH_@95%B#|3{7mlHr?!b7Yagu2x+aMxFOp`+U{Er
z1v8p5*M|l&_*7QjDC{)AERMlP7}54$AGm#udLIR;fo<?o_b=MD#q<HSF{9m`-*o^<
zb(284m`)OkgAAeBN;&`xCDJZm)4;O0KXoUxy1*HW?t}cQ+?Y7Zvqx0oV1HPgW*W_S
znx*F)10lB0f<pU922RlBYNj7iS7}tD&AB@f<jOm-iGxIs1TXU<aoAQ6E5j8nPD8$%
z<4lcE`&;y$8sM2;lta?B-85kqfC8WRlXps{pq`t^<9d395%EiNQ8hOnBgp*@VvHdM
z3Xw?j<s(=J9ao|I^{B@OwTd}PZbC1sD`GSC&&S}LQS!WLn$HbhUsrod`!L*4BY9v*
zC%s<x7r>4?`?809MKQe<f3oGesTA9fFQYamU)s1?-H(8t0YMVH&<PSPe0%`2^v~En
zZm76IQ}|RIaoH=pS*4u_j}G}sV25n?t{CL&f^E{>(Eq#$HW3wLg6Q8n`ip!O-1v{R
zH$c{Q?b0~2Yj@1FUzRKw1zlEWH(#HXWy2mq;b?<M;$?68tqg<M>uS*B$n5;uyF}iF
zo5_lGaM!wU9KRGSWWk^eR<Yjnpxo=;Lq^M1*9zP;Id3+g*t@%`y#tS^^Ss4m;(?>v
zH0LRt`cC|EUaTx`64o*%sOe4QV}q+(KY>cZ@Qj3{JugWHd)+R#ddR+g7p?O_gWBAa
z*jD)JX47<;bnZA()6r?YL2s{fNYU-uYVADiY9Z=XJ4(nMcUJyPw>BNREvKn>URXvG
zX%p`_nFI>3iUk%R?hJ38L)Qr92LrBRXnJy@m#^>Aic%^;@EU;oB&f@s8I))P8zW<I
zF{8WKC-2xdwH|YhAgf#-IGpU$ojfY}@~6|nRxi_LIZO??@=diA=@B;72)DCP|G8rp
z)WaeQ9KlQ93)nWt3XeeIPEeUjXjqA6lR&vQPO?4)^7>>VO>fuQH4Ap(^~WwyoZx1S
z4g*gKctC3_;rl2~n|1-jS#E3_)jLjig>cRvKw7V+is(Ar%zi21o|5)JGkWgc?MIY%
zzTDoe-x3bMzAozn08r(DJsKN*hBbX4xyCy#Q>x};SY5rq3;Z#!?gdS@5tH^&FXT|@
zh`r6&6tXn5=2`B(b&xg(V748-x*H1jD>@BG($pjt*VasQ5$XGsF_qiT=>Xmrwd<0v
z0VILK#9Vc6oCu%x&yvE!an1v}(>SzS+^+xgIdK!jE-&+(xP$ejzm;4*zB*m_X0z7!
zi`JoBh#;>h2q>b_6qFWSCn8DP+0&h0GPcNKlh=obGsMIHgo+j@lM>_$b&g<p($b+2
zOgbAaF+9uCD-YBP_Zww|qh<!{Y3GRPD@it}wtZ55b3e<9Qg~YRTMdBQ2=>ao2h76d
zJU@qAzQXA=)ruXnfLvmuum6u(_`E~>R>g5h*JfCWroefHrbKFtPw<hHAl;o^yBN8L
zh)a++AaR>!K-ataO+K_gk%me)UoQe;5PVV~9Co{{Jk`<sQ+c#WrEgHP*R>L(hqbcv
zUFo=YVe^Iah)j$3#D2g{g&9+KGl`k?a0o4IF<1T454xUn0^e>HjYi~v4Im|LFMN4$
z^4Ejd?=O~y)%({r8+Fyk?h-;KL_-w)F{47HsI>-66Y9q`kAXc1-vjD@g8i%tfl3IE
zHNDqgnn}5VbiW%OI3SKj#q|^c_4NX1&8O`&2J8ZoI<N~0O#!Es4N^Bj_DJV*co%<}
z815F|ed(Mur`}bqQ>h3_5~mfBDka>kRNQ5=Ype(Wi4tc0Xxn4RF_n#!>d=h6>lg>h
zTtyb99=)qsUXS5^idT<_t18T9c`KgDcycxx$@NGb`;fYOSD>|ah<_kSXOf(Tc;6$)
zdlOuH`DiRor_?@vSN}#%!P%?^LLM6Bh*b)de->Uh*72F?wcAGXtV21$``LlQjA)AO
z%>e?yNvypjIl2>?`_3yBH0o-~w|0*iK@d@1jV4sUl%ZQ2AKQ15+DIJ}CyrQ!O$#f}
zuJL#r2SL<013hDNel2l|jy7jAwI^!1*Ud8`&TiLOSI;0z<=&QiVo>IlA-VEgqqr+q
zgl#CxJO2v<g30W-w$&rZ$2hNlOuN7-BEc6p!;E&@^cO1ke$NcxfLz`YyiE@q{a?Dz
z_dXX-PEM{tAGPTIqB&B4OGro{O&|kk_?}>Ksq-U^5^{gno2Sp3-j(_NyD8RVv4vX1
zYl9d|j+)Y9_nYG{OkZnwJeePF+XV~}#E);;_oILj!&7k`e}7CdG<uNUvxB1}1uboE
zY3Vhn&FNM!oYkvhZ6e#1GcFZw%QKlkPdvflgq!M#;<bqa-W70@_9FzsPoYdmtGUQ~
z+e<!H0OvbTigNbqC`op^Nra?j#TBJ8s>538HG18e<BatL=QFEONZ%O8@0b?Bp`X>0
ztvQXc&folG%~`o1R<*sgj<nH#e17ftK|&x_Ve@COcbG9%6rWuj-Tm*!T3&I9L$Ru6
zVv+;}@u&DB;(HSKLq|U>VZIv+6zit2oZ;9s@1U$&kbgHwh(#kexdnaC2)Pv<KYl#Q
z$woyb^xzSyvlZB(nGZqlpnpF0{rkkX08R}V8JW$W3k!F#_Kmc_0f6S$dvp~M>I^%}
zKY9I{WZlJeRy9Lat2RMtoS39v)ajqX@z&G6RTL0t*_)$%9!-7K{4>}1RFLQP=1Q*4
z3DofILY<}Qw^g`>1D|#qKDt9%=~#*IUEe8M(K*Az&=L|G%Z>(0TO-%FfXhrqNXXGy
zO!2huoDJ0lRqX){K3+q*^X=3ev|rFwCgMxck9CU*--z+G=w{a#4k{+Qxm>Q`hBD~H
zU%gYFmfw1|rx;BCX9Kz1RZebnWr+#u<=TPPr=)$2LMBd)gKDW`C#N;%?K+o8)+Zxx
z<3c+QdOb||PhPusHyDu}3zYErb3DdW#fD!z?mri`E|6Yp`$u(YHF5y=zF{*8_empl
zmaUtfQ(6P~Uo!Il6NZ=)PLEE~_YDD_VW`t!e-ISQ&z?WOp6KpQV9V#$+ZIo_)<~;3
z=)Kx1W0Q@y5lWbO6pr8=J^bfB7M1U`hyS$C>5D=9$4{JK%It8aCqHv70Z6oxeF6JX
zc9)Nc18U!K_2oepfiHPBzs>MLaE^m_*W58FF2}@zsJO&Ji>!LGZngH%W>*|U=`_E|
zQ-;(=2^T=3YM(0ZT2rAspMzy3uj#~>AqfxuD)TR-zyGP6ESafWV!Jkx91OLufp=w5
zks7qDW59MeYBqjp<WZth6pr0M$hqYShEmWp*}OIBvT1`(LwW=|NpC{S|Gf>&h}PED
zcKca>iU|#Mb!ZAO4=fs<pT@1YL)&?JJMRCh4~!BGKtSz}t6ozyr_zvK@Z;!ZYboQ$
zbT!-(Z;c<AM-m}k!e=syRt(7LR_`AkAPq`QO})g<p1U<#ezYJVVdRyyx5v!H(O>B?
zUTc$Xqk()&^WNLK0jD@4x+c{e917?>7H$O6i&U4@p?oOKsQhfHI^;bC{H9juZF(9!
znaYjlbT&r|wggfgef!7o_GH9TH#!~=NpUi4Z6-*~kD<Q7Z+(gC!8;3A<y1PoQf<M*
ztfnQ@QT7I*973rtHHQNJbGTxcnUKlDu&4HvQvg|S%(VYRj4+o&>2<g7g-3+mI#t9F
zD$3Oh;G`EGwxgoyDvD~n_{;qnCufV@o!i`L)b+kz-mNHg=picHds+{S^b9(;Zv|V2
z-|B{!uZP&iM5cjK5llH70uhQ+utG6six1fN68KJwt*2vb#GMwt-4sEG6qYJ_Xuy?-
zWP^b+_~0?@U8!DJgSiwL-IIZrKs7XcP&(+FA^M8?_Rnn3bN~c^S*gHz)8A3C4Db5h
zg!kPGNKCUp`XTOZQ<*jL6Y0>|MR>C<b~!yk9~=mg7KoaAYWI(?1avj`ktwI+D_tw7
zzKcxU9}prf1!OKpq18W)5xqy6?MO<mS1Q5jRUvCjK7A9<weui>&A+-Rz$m(1=8&+{
z>-hln41n$7eY>S+tt-TJpHFu*0_e{4NqJuv(RRsBG<$s@YOO&4PYT<~Qgwjdi7Gl4
zNj8%*o==zar5%M(_8}FVs+b{U^dl*d6^qhbc_ZtK@EZ3C`e&ygmF{pxU(GN(VN)0`
zL<+YA{0>Z&WfM(zs(u?=mfqg7N~ha0jmGl?@kqspFYHT{<|JfP<l`5nfh+RSifhTz
zt=iVzx@tL6jgWV>K%)?40|BSp&EnMNO4fsChu>LSd%d=esnD=qIYY?mqaevaVM@PZ
zla?@Hi86CkSxGYfb1^kH=JN)cck*=~7wB7{Fb`V6@_&~z2-MgimXDB1Ha8dLdae=5
zjoLQQ8y}Z*kXL;s-gKIOEo3IWW;E)B{n>hOtZ=8GPY8q_m5<9mQ0!hSh~DD)dGaw4
zrU-cd4cqRiz!p^JDcs5AY@iB96^SRiyR<{fo~0@G<ZzP}GCv^iaX)ZKw?>oflrbJ6
zNU(vflaCA1hyQ`SCg)uNtv7$7i#0it!Cr6mHCuig1n|y9cC|F%TX6Ue5emZvh1#cd
zT>E-SQ1>H1@tC<q-DR_IA48AmZ`RBg-;<5g^WCXcUc%A&kRK}2c4~RE-}CPDq0Olo
z14NXr_TgJgpLq3Gtg?iMT|{lkceYb|1{82a{Nap-Jb!UEr2<W6MI$52xsPePj5(e$
z95;I#TZsQ<e94P&{`S-oJ>IY7yl9CnzKfCGbZ{aE03iH+f*#NxC6L&d?|O#u`F_My
zil`AYH#UC2i{;Jor^NEAs47mU9j#EGyl;jiWJp%+S(5!^XYmndWG_U}O)GblQ)G|f
zRpE=ls6XHZfw1-n&D(a*&fihO#F-Sz;ul}Nj4Xa0@HDKe3#aF0o0L4-hy+x2B9QGS
zmrM92=6=&4N7c`?V?;=1znTadzv*_zuF88_TA#nP5XxR_hiA^y(bG%WD|{?M`Q0<e
z@vcA^YEjgNmdCvW^O(q#m9(ICvvjA>o{;K(?G&2vyq-t&cQk%HxI)+q3ijete)HfY
z`6)*0E%x)=)!s2|ensc9mHKKT(uTcCB?J#Qw{YMYE$u;YNT?}iaFLMEr<d3XsMkyk
zD2FadNIuB(WK#Fmt5oNg2xr#B^K>nOLFA}LX($GPMcWb0N7l#hX#%wi*ihcq@XFeB
z`aqcbt_a(mK!iS{Q(atY+ogAW4C1e--EwmdX+G~+%CD%|`uj$qa2qm4wY%-2eaOe-
zdpL#l5Qq0ekMCys%9DuZ*^YIZWy^0d^SFOHXIT(__f6zD5k4<5%A(+b{yFaTEIh<T
z-OHmw7Aa+ykIim2+%nkKsTP-@0H|nZ>yMDFx9}EOry!_W+-q*7N98v&Fq6HN-9qIv
zsXS}*O|b%Mla~q0n_R6x7>NMz0wb_D6O0`Csd4K9x}Yy^W-YcYh9#PP<cjUMx(XJy
z5IekyjLg3xCPrPm1ckR#8=0H)FC`&JwV9lcsNWBiMJUg*hI+}ssZ}!=<*txJ9>eD;
zvMu%xmyg6^FGxDtQKd<7qLtfT9YvaSGkyK#8>#cSwUr8dRmhBd1EI<yQIzXQZ1kYA
z-Ox3?;OFz{a~<zl@|-4y4QIQ}ICDFoF%C`S7LF6hH`<>e_b@OnrYgV8q+mDfkwsU1
zRvQ?1PH#RWUWhca{MKv@qXShArH9TV`c_L1ZW2}5WX|RE=~C>{5PSMm31niRe!rTn
zmcB#|IFH557vCKf<|p3yd^(~-I*(hdI{vv4i`(ixw$@TQ^bCsI>QJi|z0gc_{zd{I
zZQmV$CxhS7$N}UTG$_CkPbCuTfNQ{dyKqVn4Is2+geaNki6dg~kK!!ZwRI1qIITSi
z><Q+0j5@s>O{RP6Oy<Y4(FNohkVV+_eDCWlVk;D-`+&z|5v~OarHZ(Qu8+2BMi^<V
zaJm17y}1CO=lN6GbOb^j+7l$U^J$B5L_RiRz!~d;2JQ#T^E?3SL3}UfsgWaR`;wDs
zm)8X(tR1)3u7Er(ChW=Cin;6Ol}XYAy93Xcv$UIcq<N;6k5>hjZ_eUmu=;mgo+85c
zF-J0jA~fO}+%-56Ptr#!s|3IsX7D)T-myI1kMK~@j#{6<uU-V0+2-(<ArOtUJ`dhC
z43D3*hCwgqVRxEhGw;k@PvQkle^i406X3N&D+wlk&O7zjDilz6mh?-MTMp@Lu03i&
z`qVpGjgYrs@8J-R5Td%9>(n9n3Hl2G44&cY8K3ggEupJkl>BCJ*YAh`;)b$_1ir|0
z8_d59@Wo~=uDgUWOg2B?tG_Ojg)m55XmfT=rq&oaR2OzG=9}IX*Cgx)x%F<nG#Pub
z)Ze?W{6{$b67b;gcplyd`V2!fL#_G>zfD9M@==0juNs!7&PGbDSvbb!#VkJB+Pd$D
zkICl{F|M*BPEB!=hCVGl@0!GRh1U}W#pj53cu2a=W8b>6))+aUuB2hJBlQti<Vb}l
z!&;9;d5(!z-D@$5#jqpZVLoR7?;RA`+dAJrgOOOg|E>W%2DM-*UM@M+4++F;^gbS-
zIb_A!R=tRVkLx5OdGR+H{~f9Ov=zSAhfU=g-(0bPb!D<$DJIMET`ilpRI19&ONR8p
zHIT~UUBmS!b^*u(jF4^&Q=)3^sQeO@pVB(H1zY3}+AFnr$L2oYH|A#P95iH5q4`o#
zzP-5a_(|&85-H?M7U=6iq^Jc!z}<6(xZF1VjNN8JPvV{tD_a(;ws}^`Mpl(d=I8e3
z%J?_WT*2G!ZRCVEBI+-5bCe|ymD-n@2jRT~!UUWN7j*tDYrP~nMTbW^@mSO>9b#JZ
z+U$ND(of-x<FiEcU*!PB1i|hz#{`|~o2|LMu?9UyC6U-wON^Y`$Yr27*6$OT#Of;a
z0G%WSdM7Y@(=lpj+ZXOw-A6>T{AuzWKJfbdKn!3+3bMgGs&4IhMcTyS=hMkZw#S*<
zI}9-(MboRjF?#V|_kbaV!$t+2uQl)J5wEa#pL-sefb3@YCr_we9cf=UwXlj<eCqWm
z6WX!K1xMt#S5Jd~$fF<H@egfy|KLKQj`t6^{8TGT^9R>=K9BV7P$+KYH`pv1DVHvy
zF3G8&t8N$B+Ou*V9!98Be4q8R!?hppT0G3Xp-@qmpbZAxkHp7al2!n#Qkaxj>3Y51
znt#+11*t=BtFSZ`UZ7HtRG~)pOYHA=9zXq5=bB9llDyx5)Bymns(G7E&S8W6ZfyN-
zV6p)|CJJ@o65tC+3QwLE*o~_@angvV2>KYVm4!E4TZa>HW&WRc0=677t1e3Nl$f-A
z-}q85Y~89egrh+F$YzLYj-_30pXa<yHz3fvtEau;Svi1UB|t3ZwZWu3e}07j3|UJQ
zkL-yH3U`*)3JR{Y#0lxjMzD1NGvVZ^Q|TlerJ^f?j=?bZ9KBKPxxOqkSH_xGDi$mZ
zmg&D2<)i5Y16$(b%N^kMrp9{s5%{mVg#+<80)?7HSTD&Wz?)v{<D*qk)PKR2o;^D(
z|N4pqU|WEfJV!{%OG{2IudhlCdv90$Xo*g*t*vFQaTODL2-648ZUv>Mq;R`Zp-}hq
z5f=5<hAEc2Alg7DHd*oAcgwM$M>=Jr2@Op3Q<2H;8LoG_yczIS>#TaA_(vc^XGsOq
zAsulN&dLNJgv2*iEvH5rr~s|Swqll7Xm#Wft}*`JH{vRoDS%OIO_=^G;rm^6;`ni=
z`KlG(5>pgPu7`(33&DnM>H6h4Ju75oVOp*8^IrC5w)Wqf0#omlg}Rf)pY)p{R^rpg
z?JobZBUuVa*<WwxFW$QzCE{HTLl91V`mQ|JT;XqIssR|^c5?&!Q0=xz6ZkXnCAZPE
zuh1f84aU#H^+4Pd@h+Fg_XhFlT4hrIRfcF5K|$T$zkefw6BDCuojXKK-0{Y^4)6;W
znBY{56?C=j6q1#ZSy~>j%g)G<e(~Z3HSe7-ig^^EI=bD!zeMPx1HYOPtQ--X@K8*;
zV%MVcC!c#*H#b-3XNRurq$d_!1|$rwvlu3{jGWw^B@aN{fGeLmGc&{N9|CYkPaV0)
z;K-NPx8pJ!>D=YGxVSE;r5nezH)9@`zy1A-YLB;6e2LxWx4Nb7e^iSs4WGtsyG0_(
z0?gFuQTF@g9!9re2rgQ{kH>S?bd}>T9!b;>4-R*BUp993aK^`vd8*fMV}Am%fEjBy
z)txD@y|Ebn>eWRc3w{192V?73*QT=bkyAtF)gyYWY+PcwxW2Y{$-9q|-`c-H>p4^%
zdx9p<@gVbr|I8z|UyDaPU#e&Po?f=<NZX8Za3jawSFo!;E-41^898C}0G?eJvozU7
z<8d8E@r2-><&$aAMdmHkFjyUl>>=8780IJLUuRc08!*{L!;p7Dc*>f*(%-H&@xhaq
z4R2d}+CDWfC{|t6nD69)iN(4nc~A&N>od#!Z|{tNo7UA?lUy5;Yb+majK0)=k}^Qz
zC9`}d3<Ln<!bOZBrSW{corgEo`H}ev$Kfl$Tr#LMe^Wi64s7wE)RuKw91v@xYFzU3
zXyOt+L3(;U1G_<YjQxoLkq7+_TW9N|^)^vgvJ^Rtgm-hN&8`0IeSRlvV!{HgA|X+a
z#uA}?-a(-m8~5c#I_^m?!g1N)t0-cxk>kv7?a;L>6G&Hl-oRXsw6qQv@Oks&D>4gt
z*!+nTCn&&;6cur+tEq8+VW>z-5`*D^DNM2TOTJY8INWrfY$%K%xT&n{fj;S#BjUH0
zgE~%E30VAI7DFIgnA%?Y8R6ks$%L@KC0Aw=?BQ(!*uqC2_P%C7JZ!@3+k4XukYmFr
z0`SDz;cWq3BZKgFGB_1|n8GCu($vskVP%zdUzxMH>oM@o29VswN+}(kD45P>LPj!x
z55_J6g#qSJfU$+1N)8e!<7&)9@@OIw6uv$HW+M*h!Cu=xHDb4CO5BXzGqYn#4eKcy
zy@v4#Lm?HN;-Ut_E3j%6RaGWrVhmGxzYr)w8r!S5g|BrymYs~~;;VG|6>|bM*m8AX
zz9?^RZ5Ep~Q|9Uv%fKrcx(CY~DNdeL^PZotURU57x|dAg)NQRkKYbOZ+8s#gh4sLi
zBVZob+&ry%Yt0&7py5yNr3L;2OT0;P@!|ru-iTEESs>}kB>oj6D|U3jQc$5FGZv|@
z4>VoM$`QHElah!{;(n)?(>i$~x%93}pKaUUq%b@h+uwF4_5XnGT>&rUINsVb(_dI@
z`sp}~b-7M`d7GT35SvvoUtMtn^;@-7XhknPEX-oMH+StvwB7f+*I;rZoA?CtL|U|M
zXTps~QG(FtzzEe{?ygZSU2{F$r+@2s@uJb=2zYIUw)q2O*3Uo21c_hXY}mX9vFEvY
zGhJvu;i*StNXpU1?arK%|8s0uc!7oznP|QiCsZG<Q(dLhe1!zcYV;#VG_5!f?<I}V
zP?H{3=9_-Tuhf{Lp8c!u)oJ`!8HgD?OMm|Ub`TkflDALDDHjfr8_;L#Q;uiFCO<;H
z4*6=2i12gKg21G|IA;vLcMclbdQ_M0fw#LzIYR5K=t{N{!u-ePo#PLZVH~a7M@|&V
zMLo!*qCxV&RQJYT?|~6N)PJOUaMi<pAJ|^dOJ#%6?mj^>D{b?{>LKk68UKncJ*PMN
zw^yEalz!Jja!Hr$`hR5pUSYH+&=Mkw9WufP<amJ^!x(_H0IJYxes{_Om@2?EN3bH#
zH}*A9;y?_ZP2){Io=kxdssxZ=<N}kYDAYv&m-;<ToLu6mfTNT;$Dd;Mx>(SL9@4y*
zOCFw~arw}UML?r3DO!P(JvWRWY+OWA%8~J(*WQsUJ}{5sLkL#)q9N%{^JLO-yB0F2
zsiN=QYR<)7AQjfI{1jRKB<*n{lho?Kzhv*n!w~&Gk|v(h7J=(KqOQ{gzZ;9BjbqTx
z0Ay#XP5X$YMW1xw?1^m0P!kGzIt%!||KHy~T5#H<jBs-17;P=(?T^d78wCf)6(-N*
zz4bIf&JLUONIt9G_3x3oqhh>|IQfJP2T{NuOwRq{o*~m*a>~L|@&WG*dq+onkf(__
z4@V|%$P6vbxw^}8*@adA{oHlclr(ZFv>zjuMejl%+U)uLWudNGNCO=i<GSnN$j71u
z=)bM%(0@F1FD-D^dLT`S(oX2<CsH33`1O?f6r~cqG?~Jauokhi_pkp)<A#{Q#vl)P
zcdKvVJrK-Cp7i<d`I(hrKN%fMR19@)w#ykcFYQ32W<cPM45NzHxf99ATUR>RW%lp}
z^rs?#Co*3T?o!<s>R^N6Ac1^4DaiYE3bUobZkE(Rb69Di)mlSoJBSP<L;Zz!wLOK8
z9zu6c7RjLSOac@TAppgLH$TMo3rZ@KNLjC(v<4|g*m0`exF3kT0R-vK0P+lKhn&Uj
z<!8$Gj*67S0;t(zBA;M0s{L$uAmzzi$68C7C*%T|5oVMYmgeuj>X(odd$=d&P>KV&
z#S)w`@+>eRWgdxGf5Ou*uNwSMJu-W*i<tg`892DpL`{ek5bIBVle866A9C=*&0gC(
zT^A%{&pnjO>0bZ)B)-sA{G~rzjO#`co@ZajY4(oj0e^+s{obu;n7WqBYIpzpTmNx>
zU-Os4yM@!L*hYPN$08;s6t@ky7!WQSh#bZRSn$e|`d@W#pNjGQKn+t0F#8A9ZI>dN
zJyT8}KljLrzF*;454=Uj%rgA}<6m=?qztB4R~<$d>q!w>ZMzaWTpUikyWsO)&uIM=
zt8{Q0jc-t~T^A6K#a(0_b|+%_gmmX$qj208d`(^Nfbm`h2op#y20-l3?)=(WB1n$Z
zLC9?PJ~N)E8r%FI`2*Piq_hfG`hEX6*Kzob_Gb=Sko$rqqCB-1fH6-UIjB4uDwx$U
z*}KADj~Kw%0ErVY&LpCL6<MgpiS5e~NWM)JC>zw1@ekQy;x{{fXT<T|nF0TF(W@;q
z_{Z=7&6##2x3rYBIs4jBL)DuDK$A(Kq#cc!O8`XWX*k{At`A-Y0y}9mE~KI!Vwb6_
zkeKWnb+d*l8%eq$_eOZS&vL|aKeB}Nm{{B_xd{A#4sA~p3L0u7mr3}lXhpr8H2v1>
zz8d2_NbXZ~242xKdteNC2D8_X0S+?oZVdq*U6NP&ETAH}Iy8SDL&Yt=e;vrap~7hh
zT6UbsIoJ#tVn+02JhW`i_FvF=%Ee%i|M<VUEDPFo*(~U^Bu1E1TIkO)lm$<f#L<dz
z^YUwquKmNp&!OgLT(r90_1F3RhwIvxJ8vWrSdB5rFdHB#GS_??BgGV|e{Qd{f=Uk5
zJXS`LhqQGrhNS$rm__s%sFB@Gw21G@uydhPEAG<w<^bS+eCcTicze=$>Pyi*4j<;l
z{|a1nbBOG7&qCE3pz_UGS*8++I-q{g$k8cFRsyPqo86{xRf$*pxkq;d3SDi^-q#7X
zIDk>O9)hGunDa>0>_d6fw4`@FZuV{&&QswnV)FINVif8EOC3M1dlvC4!h|M1#rp&)
z-c_B%JsZ~$X5Vllyl(0Gfhfx%BxF2z*9H?GAUNdMLHJ{lJ>BsnZ>R-wrHYUw6tIzJ
zN8a(dk^fabP}4QSLKf%2tAO5E-YdC?K<zf4ShL9)9iOojJ2c)v02mE%M6<w(oE74!
z>irJvXl}d7E8@wz8qX0vHvIjUn@4|M%zl$39P;`4j>bSg3aK_@QmC8*52y9*p>JGq
z!p|%7%miWo4ftfMLD1)iOocaOur$BuecAU?rPvqU%0lP%_P~JOQ(7_L^f0R*uBBOx
z!_(-i{Tkmw(8avA?RZ~qe3K7*IVl?El&1H6DiZP!dtsROeB=C8rbl-u;awq@V9*)n
z6vB?v=l%2QX#XK*_+q;xf*+!axPbNv-K&RrbWsW44*OSQos|U1)vaxoZ`d?*s;1WE
z!s`)`%xTkluMH)W>k;*u)w@WmyJqz=z)LS$thnp}l|YFiup7#UmkrQ~pPQr8^jL@T
z>yT7-_im^FWk%J_;PsVX%>ZY2!b^-u>Bh+3P|Hkd(MT@~UcXhKdFRQ@{+F<dg&E>X
zP_s{ZOfrBngUsG0h22Ak4ye+|*$SSK={*oO#=`+7mDREyy#FOM3jr0Bc}lK1yo!-3
zcW?A%sg=BpWd8FAw1To22VUhrWDGJhN0UfYzA^S3d|6hnF4G40yiy|vQ&nm@vubN!
z-xLJ3sL;qQ2Z&s^z9Os#v7SO2S;dDEfi+Phk6;y$@)S(`EUv>E5Le3lv!>`rhoUsI
za(|n#WI9+u)9>AnNHmSLp<OZ66zz#lqXtuWQOkk;T;`y|$Rpuj66g~TBm@2AhX_J2
zj+?!h$@>a2qukv4ss4{XT>-+~lv21V#H?`p1U-z}x?45_?ip$B@M@Z&M`@_waXC1!
zk#YRFt#Uz@4C9*s&U178mcIO2Q%7G!w}2ytEz9ZRqG%cLsi*5&?uRl4FyNjOXAXx8
zf)0GLH$Ke#3ItQDjKE;1b{}IZ<W(6!H=vF_$qKvq%$dz^-tZkrhfrLFsVgN02Onm3
zcRHjj<MC>ZZYaFMPVbf2Uc3Tr?7a5SE5exS89BKcfc_ATb-g!4``=z=CTX%pNGF0M
ztVQ=^y=JGGa1%%M=w+4#&nWpF_%(VFgex+VE)0T+c@t#(V2X+|qtLCfo1XPzb}!^>
zYf28*2AR-AK;~-uiCA%f4CDG-g30m>Z^1J%BG0fOwBZYhhYuwM4P^$G@dN6vY3a+_
zS_Y~W`&<nyH|GZLr}lsXswpU^M%)3}xda?m87{q>`cI#Y&xte$A*aPb1fnE(P4Vf2
zQM8HYakR)(9j@^i%hbb97$pZ?gG_{c4sA%6Q<{?j&(FU%6*E<`IjddLVCwNI=^-&<
zNf;7D^--_RL909YxS)mFw--hQrJad3{(M!LBo`gY)qA#oUrA2b!n7WHFm=k?w82zH
zuQW*vFGUQzHVM95bQ&1Bu@O|cUB{EBgMsozmd}3wUW2JuCfpdA!CVekv)2Cc!sv?d
z^@WVaQtN$9NZxY<8Mwg1h$zu$%44Q|AL%-%`$s_zI%D1MHtMc2FE$lHZvq-~O{}>Z
zK+}e(lvBgY!6v#%X6N?O;abddQYJ*27VxGvSj)oo1Gwm7_b`Q7I(6@yoN`c5w^jQ&
zo8M*_=Qk?9&3KwPS-Um0r5=9z((ZFG(G>Ion(0yaUg)+cVlJroqrmNi_v3)S%-Yhr
zAE<iz_ZTkG6g&X50F)pNL~;ssLFgmWoS;tdvNtCE@ChiAKtlas0bj@S2H+nJ3m<v$
z3P~%AzK?6S!pS19kP(FzM-PWt!NBKX=tIHO+nU=rNJQX^*XQS-09Ss926e!9QBXdH
z#P4)@fc5_9M9}`1@ctO69j&L8t>xw}Uer`h6(2S~H90Vov}T?BaJKRDtC=%55QAS(
z#hb;*3Uro9r;aDW%c`b=;nfgG^shL-^3|ES@Gz^I-efz>4Cz#Xx}834sybYHzL06X
z-v1KAl_y3}J&hn8UdTq_%}Uu&btI|^&=WIf$J*L(UbAX2HF*8*RM<3FIW%yKnbS+R
zFbks5FspZIY$4~9*Uzso7RpHSo)Pwfu-`#HPaMFoA+N&OC-AtBKHI)L{C~A}Cg4=A
z?H*r>P=@v{Dr0tvh$dtvk}YK(BGWd{nKM(0t#(#q%3Nj^i?v9Z<qHwZGG>`#v9Tmm
zE3<X(*WTxxeZF(PbDi^DpUb7Vtk=7q_j&I7d7k_K|2>AEJX)r{Kk!28eyUpKq0%DB
zEUaY%2jV;{FQ3_Ji7E{8xv+Nuuvo(d8a0^8OpwSQzkaGIr+IoH=D|S-G<;**c{jm#
z2N7A1@>TW5Xh^{>38wZSj)TDV_1LjeC=}vMkv<xZcmm-{rpcquy5r54dFQ3g-9dm+
zFuraNqZC@U7@Q6WEM_4C21wcHD?XwCgp~paD-<61XQDD}5x$+ZlAFH;+roZ`8Unf+
zgH*8^M5G(wGtG@c%Z&2b9UJIM9!a#!`&N6&ZYl}X>!qwBs~uc*##x<S((&><HzOH~
zRwu%7`q#3+b8lB=YI@fLuB3!WCs3#h(Vf->+O0a&x#LBeZ2aDD6-b5#FQE`XveYX9
z2R6wva4M6*P7>;!mBj^mHIGHO>#zca-~gX&W+%LIy^xKQ!mu2g3WGtVJU=1C4%f_L
zEjML>JZFea?!HbKlpbwAUp%lI=e!^%n{}?Rlos@~BYPXi1@jC?a(&CV5EKSra`+gV
zs&-=R0_HbnR;y+nh_lvv{VLo~u+d%@blWf!aQ{}@N(R!HdW46UrA7kyl`0pPKDMhG
zY9$!f#DgvYo(*>$y3?A6O?W>C{|`A`N`c!o`q!TAbCX{IPfE((N*%Q%5c!KR%+D^q
zq=QaUOLPH(Cdrbt<hdAfy1!ktum=jOP;N==UC;$1=`>$aoKFF9%ZI6)pW_B!hFU=1
z_^Ak2*DP3e3GSs8RH%?(<K}a8u-qsgN1wuqIlqxq@OBOO2p}bZRkp$|%qe>f#ujBT
z>&wv}J}oUT{;CXIHdvVc%nUL8kDk&U-f7*}<?$O+&tWw_?=fJS<+KO*^R^c?qXUcw
z38j$pa=|xkC_6$5fF!|gB(bT;sY*HSw;sFLJYl;-9*??0WM(c440;2PfCDL1L4V<F
zzHsz}tFdjFc?h|gt1gc;r&!Bom#`9A8?EK!<~ZjQ6mM)=Qrklz*BjeDD{1=jp}MtU
z{#|?WVL5a#Y@M_Hc^yv>XH=^*76<u|xo6)f@bR9*7N)BONT-b$_gu(1SK>#}F<i*}
zjqI9r#Hu8{(xfW73(Zf9IdsSX#XXBcS;_8=Z&XQ__3_87hYY}Iet>T#1?N12_S+~m
zvY3l4TTwQ73f6k?2m#LrM+`b1XRWf|IpRYzo!!iV%OVj+IUVh!PNPs3h%y1*;jM#*
zDhjo;ZiQH*@%LjoN@|<AXL;%rr-|q=W4TcgVXQ7hO{oQ!;Qi^{D3^$5xL!0LEryl#
zSpusM3RDDp106*=o!bBEVVl+IYf`&yRjp)QP$O<>7Ng}UA<|hN<$^JglR&7om)N`4
z56FTPY`rYJIh875mV^_3!-B)#hh?<VAEPr|8}?g?0(6hrn00Oh`)3at$e6L-+fbw|
zFTzl27cGv3&7CnA2x2n32V`}dz8|Ow9(<IL&Q8GmcF=x5FDg6?DgQw@tb$;Ay5*tp
z#WOj?Rq-lyhG|Jwd))!IG<-wFcSsMKKp%jeGB61Z%!cf9OWbU&C7+5Jy_T=<pLHb)
zI@O$(@Ix~&hQjt~rBm-2J6qef2@gk5(56UxT4xU?B_uc@G%cKMG#kh{L6dCm(Zo;<
ztjeQYr1eelR=n5r4P;9m*>(k-CpdDE+KN+Ofv(V{qi}~PY4PIsI>G)6EUit<tr=_n
z@*>54yc}9^i{64c=b-gLvTd%GK%(k%&pu=jk#8&lkvinb$1J$B@@=K?%}@K>9y7f@
z`%`!5#{lkmL#UkJKXUNzyvyyKoeEzofj^XT$?kDaZ?B~N$K$t>FI<JfR?20En0nf7
z5YT$H@87?*RWknW(IINLDtn=76dU#a%;ftgz8zv!vzD~YB=Op%cSlYj`yHsX!!RQF
zZ1w$hk|Auvh-jHJ3LTm-iB}rCHsj%8LS8Az!k97$>8LuIdz^68zgAW!RmM`ZWux@t
z?E|Ev0qbPAb(Q^}ICxOqfzZflps@z$@=Jg|)h)d{v^k?h3m9>+gpKgr{QUXX!|uHi
z?25O;wxfkIy1|59U~Cbf1{A6-LjBB3)hG$@Q>&?~yMXKy>MqX(=a3gnCs~#%(KZN3
z1?t^9E?Nr`R8jVjlKNl@Y@W?EuG|{pzn?dMG;efE6F3Gh<3t=5GM)2p6!D0Zcp=l_
zT*FHKBm+5En8pbv48B2@5Q@BEo$W2RS$SVL1*{X$5$)9{SKDrWB%$}aCO+R?+lN{@
zFLYEThEJhdV-U!Gota9O0s;cn^QARhX*KXw;_jF{{IEeoU@AW|v?wm_$I+n0Ix1a`
zpf9CQLqG2(5q7bu?~hr|u5_HgJ8&Dh=f<0y%{n(7!>w(aIryz&TYD=8A!Q{P4n`*A
z8nW>g9TI0}Ovvq5Iw+2oH72jLP3!KMCU$Z-;(0=OYNg^asZJ-Bvvn>{E}bI#&NT0H
z!>z1Kqt;Jj-ETfmPcPZt4hFv1bpZj^V}We{tw^`~A*jRze?1Pc)X6qo$S>j@2m?^&
z0j2HcN-v|Y&Fb`DxZ(9j=DchAb$os`Ckps!JSE`dGen|_rE)Oxm+-h8-13X0D7L6H
zVC%sY0_2ZCjX`GGmPWmpHAzA6tA!pl*p+_cIz?7aeei{ok6*n8)~xG$Wj4u&Bb6>m
zf@d#YEGMo;M@O4hIwycDJWT50$N%J<`L<HVurk0qPu)rR-ooF)v@QpFb0C?2-U4b@
z4YZn(oT1*Fj^`uQ_X(1+KI@B7BJ8vc;&NOwUQE>4Y~^Q>l2X>o-t3Z#b^9@#YV^Y#
z9M(wO*KMk#{l-!*Dk7~M+a#s-h`x`%xaQ1HpTuhtT3d;)E2tKXwN1qWwm{Sp<h_^P
zQcVWExKa?d+T~p{+O4m8tFO+|`zU9k)P`r&_Z9?W_Gjf0v5YeYTL#UqT4^+0<@9Ac
z822h7<r`O2N60$SGoMY;Uw*rw^*uYG4HFW--S*o}@bGgb)%dMu;C?R&Iot0(c4Rl(
zR}8JRwbC{|RLdw<Qb(0t@<!?<@8EudJ}<Y;aF73&mI!`JaN~R;`;fjs^=D<g#mut5
z!JG#_zH~a;bqwF|ZAxm9nca0ec6q6h<a>TzrEBSA%|5uYQd3e8uQVSv@|iE56Mdz(
z{HwpdUxi}eYa4(MXRkTACc@kiQpyg5Zvi?Z5H|IneHDOp(@b5vMnB-z=WWZl0yEAB
zuAB@*V&HX!4l2A<fQEenpzz?9rDah3pZgEv+)G-jsXSqry?UR#DO7V2O@MigAMX*B
zff9zHPl10ZH)&u@eJoomHN|{)Oy4){MIx)c_3M$}6`q!J6|tUPNZicAiRZ}wXvW83
zO~M?kxI-Z@4#hl7Q~&yl0>x~>1-ci*r*pU^CRx;ZAf~-YPA-7>4VrPpLej)G1kn;$
zV)}!n=3##NTpC;#tsg3G&YnW*VyclWP9E<4MWAkvJ*EEIaR+(ZC>of<McUjATgw{l
z>$(<}3u;NZaTGEpD4?%8*{)v;cD0MVs$FPv9+K;CVmeL%*{R6mjcH)=(}QJPtSX(G
zR(N6~{+E-1K5Zv#p=Db6`9p7wD!6h+_+Ft?n&>~=bAjbnii8GG(Zi@8FB4{)82K?u
zYw$n7wyNA4@l=l(G%zx9UL31C$i`-rByLVYTlx^y0w<$|B<_7RGxzN`+>4G*P~uCG
zyI1-uJKJ|GU?#v@dhh<X1)u!Vr|8UUtFJN@4SQS51ufH%esV?B-GoiJb@(_8WX-7e
zr-=f;$DUkWs-$AEb@k;iEmh|f#&`x8kiA|vHayLAxY&2{v%E#y(5H`G*$$C>i+oqr
zJ6Tw56NRjbATQ1QV_-mB-mTQU^9|d2;OKb;NvgjgEX-{Pr&erK($jc<zi;oYE0S;4
zpm^y6+I{D#w%EWO>fk(D{rYtZI&3?eFK|}C-19vL*otZeot7uxi-?O4=xZzV=T!c|
z?{u7JY1YZ=gwI#M=D8_{>VaR@Ip&~DF)!<W0_h~)Nnj@S*|&nN9bv(eC-S2u@*TbI
zlA#jCtDn?+(V_A?GxiVoxc&LwW{$R>)BfxTQT~5&8vO6I$U9fB-l91N4%sE01*!;Q
zTN(?ag=qAg%};wJw^*wWSV_g$mwS)n^BPEPUpI530)~lrc{F|e)6PCuX((~vRnP}D
zcuP;=<$1-?JmUE&Z*@1BFXq^&YSpMU(Mbi2@R_iFaIS2#KaMkv*|dSLg2SF&Lzv1i
z+Oo_rG3*ML(paCjl#4kpE4Fw`=<*HEpMVM9aOKf?Vc`VqF875$Nd|ujouD-cGIQ5%
zevuM$O5pcpeusO!9HCNX*wr=#uKId$L24AIRL%jq+|Cv9;eN;MZEgBg-x=4$>neKW
z^`=?vbQesi4aMypzzaXRDj1EfVe^&%ZMpY0QT9OgeN-`dPCKf@d*nrmq<ED|^8=r<
zH!505>M&&!N2_byTNt0;HKFA*&&0@B-0PZ-?e+d5<8W$ix6u1(jDAtrqEWH|$sTet
zw~nb8j!V|hsPMfWzpKTilNL$rn;W-YgaCMF@2@Ezf=w_wDfoQyjyu|nG>mb8gE^|y
zTO$)Ps=Ir{lJ2yoc~_5kNir$3k7pCT`D8|AgR!RsW{FLX5o>Ea+$pkQK3#K)T4fYx
z(meWkUHf#bnYi|XWy;24?BTe*wIKYVrx#eVL%(M#c?QXQ(WFss*DnNqlc{RWhDH5H
zKE2dG_A21_c<e8-m|!AZ$HE?rV{d;H|D#2qjQYp?6~0A)I)DE3UwJ^tzwV;A7v|wZ
zz_&P9oA2&gFMqvp9ASC?1!019>YBk#Ec?rki6T2j@DbiX_Jpd>-pBvvRFi-5riYUe
z=>llP5Pd+WI79f~K~@+|BRjwB`>X)mN(9DJ;Yj=m5hx*gBso9K*9KbX`@j87;>~Lu
zPVa90MxNB&F$_$WMM2&Ko3WOm8@ZqpaqeM4ZKwVIZ6k(P4rsPK2%mRrZP6G^ZIhFe
z@$vCFsdwv50Ka+3=_o2x%R4ZHkf9)pDA<Cq2s0B1KiDeG1Kl?}=T=W#ws(YytWrS3
z*4G;Cd*dNhS2PcJ>`UpLkMo)B7Epj!ZB9NpUvYO_@zJA4P7nwYKoE!<Y~L}3A5mwT
z%N}vB`dYiH^=GOgZp>t2A$>aSZf|UY*oxXEw^)Eo?gx)?a#G4$`JM}&78De|bV=|1
z`}b!I*|W~349|d61i1SII8@{?D;&839=P_7j$Sxiqj0(-X?}NWaWMVfnA7C1D2cqc
zbr$)S4WY7&wW~2Qie6J~1H#<OmnEtQ1i3|dxUxhb7I;TUj&jHduy;vd&x%eNo(F?y
z^>>m>0!%<*0#6z7CiH{0@7s_=<{ZFTdk{ctQv_qG^iNp<OmLFP0|tO$^^2GXFTY3f
z83^75=KurLmr2`p*qOJa^}zaMaC1I8J6jT(pY`|!WnEp}YU;q9N_Z8%ow1v~b79q!
z+%gB8--3oxEeneb1Q@)t)<El@`tY3NhaZSVWYkhG+?lVQo?h}YQ^gT@#cG!vmS}m&
z6&@$7B*Nm;(lA#e4pf@%pi<y{D+YacwR3QoPrTz!1ThQ+tqo$q=R(>8i=k_BA?p)S
zxZAg#*cbL^7P@_cLqm{tl;dpoOD@IWHvmO;Ul_vYYhcqsog+9$+g+q_(X#>XwFJPi
zc>pxl0rwoWRaI5hx8;O`u!u;JS}W>vex-dTBRxIO5#<|t!NIkV49@@`r!HtMV+wf`
zl0m%TG9;Bur02xtz<~u6`s=8yv!?h#aQA7NoJ+I`EtCe8*i&9Pqv5K%gD{OZwK7ni
zKl#u#TgrW;;H-XLn|l>va_vVl5@M}In8roL#bGOz{r&x>4WV^lvJLoX!v)HwZ?i;1
z*#v33R)!v>lwI;I0GL|?SWE2Z&sGEB47H6I3j%>KSR1hV4W2L3|Jpx%a3XrrNxu>c
z*2WeU^{DfQ<b;Q#%>9P!gcQ!8TAddxAPedE_*8(h6aCh5l(0~2jCH>sOIH%nT0UIB
zA!;;Rn4i(JzD%A+D}3u#MW{{n>yw9IH9PSJ+xg)`?C^q-wY7Ej%zTUkJeodzZMP3N
zI*ACAkb3VKEr1WHd%ZPlhr0sqkfEt*5wb#r<2mH!Jn0<UFcvhRS5v8jmV;rg$0Nnx
zPW`wueLhV0=bzi6*_j$IlHL)%0u`(fCWeyWE6#A=SDRBAqyVWLMxx01^Gaua#iWM3
zNKX%$+`rHC#ASiu0zmgltiL;>0SngL9MX9Gc6?8do`$S@vd+C)4Cae%2ffFSA1SL}
zzPRqdnwN+tC>A5QFKFyd;2|L-CCMNbRH%i^TA+tV+1KiM@j5UbZ%#z<BND&5m3C1s
z3CCxgVx~EBz4@6-w^0(MV%uMKfdQ@Y<2ZrtJhZ41C=aLoYN#+)@|!B>2eE^ID&`(J
z=E$DRJaiq#%I9R8bXi|m;>O2U_{pH)xhe8P=zHxpoR^Zq1vYC640a-D3@bg!*LNn^
z!<I-}`*wlRt#Ibd^@h!UEEf;Aq;q^E%ZXQr2p7@mf;g7D<WOVu#Vv<5h&>1t+Zd+O
zzMFITK|4FBuzphAZn5Rg4N>FLK3Mx#xR1)Rp15=k1f!c@@Pxjadw1Q2UzZRi$M3&>
z{NkCLflUK%xoJt9VAb%>b1V?ol6<zu69;%_$~7C!?AHR6mBSJ9H#EUKEVX-q;#3M<
zMWWCTb<4pIJIKri)f*vkpl~^08M}S#*EV3yEd*6|QEY9T^1h{417E3H>9TWh_))K+
zv3agS(DzxS6Kqn!$`G<P7bExenZZ_vdR85rX2ebzC`moX+2J`DSs)i$TPcjH2oW2d
zaY*xw9P=l$BCBPG%n-khqs*UkDt)l(d-N_*(K}hPD6t9Kt&wRjCkXF=W2d4Y?Q;y$
zsu(1b$<!*~rzOuj5HiFxWT)fxO>s9Hi=n<7@!-J&3CHe}3nOp!fnUek1$zo`zRi_`
z%*+!{IJ#pheKKceW;Ekmr9!VTRGbzYormX}lw;#JO>dR)d|?$@L0C!25+ZNjB$<3C
z+ZH91b-E$H#!Nh9d$|=i<cbJH>kKb-PcjJ%zlE&;She!vk1zBaTZ(A}u6z)hUiPP;
z8z7L9>Vm3}0RhbRO6L-k)=f?71`K^JGh?AESB$|C4>VK^zH6oBFiPU8CUrAW><-rg
z^|WT<EbQFq*xG`0B>8XLN;Urxo7y!E_dAv*QhXtT6%`d7So5eE4g6BxS^?t}RM(Fz
z6|>BLY1fon1FQgI=!IZ~knUj<=&@*NH|$GM0b}h1c@$Zid3kwNfb`FIfn>M_;_QoS
z$d%xnB0-Jzwl;(!yH18Ci#6Da=!Ez|*||#Rn3cP^4cV`^)VxN*f5{5YzA*t2D=^y;
zl`aSbC44Ccplz&8P-o22f;WUQ!N)&;o-LpnS)iY<1yO{AvwH#?gB*tsXPMyb`>~n~
zS-zE1gs*W1IyzZM!%ImS*|f&E<?5o=WyJdDAx5NJ_~k*DG?@jtPqrvkWN8C41|K*~
zXm+q+*H;wHA}#aqnPR(j`7C6@enbfl_&7>}v4yUIK|I8Bk<l>P4yF5L^F{0i43wA`
zoV&;`(n4Sw0H`nSo)N`N;A#Im2NC{2T=RrZ6dSLE-<R8n>{J$l!7VQ4@XVeOi-vDK
znpAkX)6OQ<v_2T9dsWa$5K-u;SBDs7w5Ceq6rG2>&<egrQ0#V@GMpI$GXNRQBGiJi
zcaQ>r_hF~A6d-Ge40Om<>a>uM3*Zo{At>3EFL{WPjy3mwT1C`-$Va!zuboh`L_Yq(
jv339C1n>WPQ3{Q&zURYsg3QGp<R&!Kw62w^SUvbRc$|D^

diff --git a/devel/_images/univariate_univariate_forecasting_with_exogenous_variables_17_0.png b/devel/_images/univariate_univariate_forecasting_with_exogenous_variables_17_0.png
index 14eb8a6b702ff90b40a093218fd83739af2b745a..74721f936ca0eecf779c768b7f818aeb4268b326 100644
GIT binary patch
literal 54028
zcmb?@1yohv*6*RarMm=akdl-Zk&+f9MM~h%-Q5NX(jlNUl1jIL!~yB%DBU3qZyn=*
z@4N4f@qI5C+hKrbuf1Z<`HQ)uG}M&vu&J;i5D1>~J^6<a2pT>Ff^>z64*q5K?3EPw
z?T)L0zN?nwQ&$f&XG@5xnJe^}qw6ypa|U-yXBQhshub`Ncm%i@tX*B9E@HgA_W%3<
zkE62{FQXdDB=`_4=sg1$2!y~4@eAp_bb$>7GVG-+FQe_5wmIwJYxtv4dUud=>gA6u
zPZoD~<R@~sF;R(iRmg`vwj1YF9lJkX4HW;vJ@m#ft65fMGPk9l`&Q!UyC+F+72MO-
zJa6tj=QcP`J2;n{eyO*_x_02-*z$59H+N;i>&ZEM=RhJj--askpRc9J_E{vRzh6{d
z6g0#{f4(${(Ie#lekF#sGXDJr5vv*W-rsM?EB{~om+y<)Ej`vYPO>B6_2eOPgn_}x
zhKeT4nl*4ywqAUi4f(eT@HBRDXt7p))J5ucOcgG^5FVwpe&r%n)JNLxJDTnb`fR<v
zG%NCxK^EyBi3&JK{toW{dDQZB+xUckr@&i72Q4}W*F)qzj^+(UWfb}Yeo>Y`vz0?<
zlM)^uuj?t14yjt)#?NEu^Va9O!}pd8#bW?T{GSn7vLqCc&?VsL+VS9`GegYk>g6@5
zZYTszZ^`=j+=k%ldwyAX{&zt>=h;vh@nFO%;uPziLp>rM4y{2#T0?7UNLDvDDasd~
zr{?}MxLR$UutE+#s{Zy_()Az)OukfZO!P~Q#D&1LSN~cqHx(VZ)a=L{!LO3pbMnIX
zG<DqW4s`$Pj^3=8M&r=$)DvYyA##5=0@MArfBi({OTK>|nkk0`7eDInXxXDAW@xjL
zvvQX7iU_hkPJ}zA8{>w2osItc1L3KKh58ldcjo+#?Z17a31aC<7Ih*n{j}`OWmL!h
z;j;9x_}+fspjmf3?}B^1=0gE&aw91J8=gii^br1RdkYJcrpv7|kMk*!d0%md#-jnG
z=KLm8sA#ZggG@tXE>`qdsEEk;B00HgTQN46ub4kKX14=tgF#nEU^iZ>=;ejhbT;bP
zvO{1B?{cf#X`)}mkUqgGty?OzK6l&Dg$H5yV=KQbw}zR2Um-UIW7%!P88kgu9^5;D
ztIL#)vo#KcV!eV6-05NbUTolkest#Dwg5%FRkga8>X;E9apeS2nwF@8$MNo#Q0CRG
z%v6-Gp630XODbEtasS9_J3Wi3DoW4Iig_hY^qq!-`ns)}ypziv`tD$~m8_~NT&Ya*
z=Bpz)LR2JmsZ*}}2XC<%Zb)7ItZi;fb>!)$cD$feNt#PM6eD3%qpIm`+lI!q6D_Ch
zq3IvBE1YyyX+i?8&vS_Mn#(Ea>1}A2Gya|k%gi|HaU_UC-QsenP1mPSpX&B|?G}&E
z_vU;8P#~KV6}0$D)B|@`8mz4`A;Am_Kc{!lAq_`kCRsL9gvPBs7L?PNPej(B*PXAR
zi{F_poGpc@#C%V#Ox%}-M^tu06yT;JYvJ`Ve<Q+>Al_V-*v#ze8%;7s%(h$Uxp{eL
z5RFHVGF*#`i*X_4UI#06M`Pl!DJmPoH{ZsdR<=IvlhM**rlMNcG&X(#ZTNJGdbOW)
ztzcDvb9#E3EVS|Uov>V7>msIbtpGvUtmn;)vlXI-iaffVZL#nKg4(4yR+4hhhcKu|
z!k_j3n4E7@w{^r@-k5DsS3g`rX?f>lWc0S$Es3gW7bHkr+|m0&s#Iukb~X}3!_cQn
zWjg%bL7fqgXnOYGC@fb<IeTFxGa!0U`dZN2gb>xp6~=n9mk@yds>gNsQkpcaP@?Va
z5wXAPmFLCUI_3Lbk?c|0md1eT5TE(ExMj8Le;difhtd7K2(JS&2*lXyhr)?((<*#x
z3!ls6iVD*5!x<TpubPS!(;19MJ(ly?+p*0n!)uuUHvQr!#8i;VX+*Vlanj196@$LG
z(`Too%OXKC>VuYg_x$yh)EjOe)90nd9>H&TUKPRxMZ{nDH*QnQK(KM_Z<WEwwf8pJ
zggn<OAF)$Cw@BP;Kj?yU7LaB-PjVCCrDt^AA+p4ecgy+O?WC4SD>@c*w<Y1t8^s$p
z5@iciX7EI*^Eog=WG;3ij!paCsJ?$s5%<Yug_#1^ygl6QOJ84iYsh)_ICZ)Aku(wn
z>}EZQi(P@$BkweiIby^iS{c}ysC6Xh?d{dnazVX5&1~*?$x427^4YkIymrQ!HlD7e
zwQ{g2xaU>D;na9WlP=MVfDyme=ypN#=L$28P%h&J2jQEf21AQ@OVUyk5dmH<Y$;+5
z?X!}9j#aNfFhk3`SBjefD4N!+eFFXmscg_bZjZZ!s127tv5O6B(Q(K#Vl4aUkRacG
z{7{$<I4YX&C=0k0Rg?Ck5`Ly1LCX0??v16y&j~GdUV2)G%=wKCsyIa>-#tADMBM$E
z_>T=yN+UQQo+?kpQs>6g#UH9}p3875U*C6ldX43j$7$kZdSBVYzO4U^nmI_h;~P$3
z3=3}zx9@rSf_Z~HFAoube9a6HULKSdUz6y2BMH&G!Ef_$XEfyQvwrymD^Kh$eW&F7
zC(0fDF5L^Gc`kg7To~Jd!6ts55Rc0pcN+TxT#w_w@l;^0P=_7@dBgRoZoFo?)=>^b
z$mM}_f}+u>f`gs8MiRt1^WIOFK*Pl!G13X5R5uYqk(LUOcpye(xH09lrINb0zfz4^
zXz=+2`A>j=LDn~2StV<p_Dk<>*E?FQe;Waz@KmzK-a#rziOv9B`6YDPeqLEr_i-cn
zhZ+WhS_dJilZD3<&+a6P@P6`kVuuzwqd%8N((C8xz5~bEo#!mto7BX}&<~&}`kCHx
zNv_`3k<*kn@i#yuZpMo{$T~S;ad39amW^8sW;~ww>~<UMmA!?Kgu5@_Sx^7yGwJSq
zy<>59_!hC*_TZ`$<z|w;QoP&sJ6G>i)iOMn0)~b(5=PWB!<UxK*`uS^*Bd9A{HPDT
zCH=1s0(M-&mhM_WlVy506)&0{Romy?>DnE~X*)73c)0v5IUTNst!E@Wa1RA=9{kN_
zXLfr_I2HbvRGU-PB(0`|mX?-vdtHW3Th%IN6)fT2Bl-O;HTH(Pg8>eKBa=w=v+<_~
z<O`oS93FhCS?nYaKm)m^3na8%m=eBqN_blvlkb+@e8;GsNkVULA>-%XC&6zD$(%#`
zzH<*@*rpzn@X-4oEg}_54k1G*^h~=D^F*0<2j!a<lb8XD&_I;+6ZpTX99m4&3u_x2
zc^R2ou40#<GVmTsD%1Hs?`l$x$}LA~fOj%FuHMeuEJo^elNP_a&S}GLdUv`SV-b)2
zUx$W?YLSBGDW44CuRy+|YPHm-6_ah-k|{C{Pe~HCa47-NQt9tHF;j%Jb3L~kTWoF;
zKx=N?biHAC^xnnOY5dxun^#Y#{Ra;IzjmfIsyQ@Sfh?Z0g<2#%s;?jk8KV2lu}z2f
zSzDJJcl*rkf6}217y@OHOqV)uTBNkm9a_>)iZmXldm*It&}$!`MJPsiz0cnv2+Hz_
zetqboxUy7Dy}a=G4k;npLWpFy(+`}~a@%>VcZ-VC|NLkR_+0*6wYKIA5&Xf&w@KjG
zU#$;NcPl-9F3iu(#gXvL|0^m-hJ#|KZ7uJPr{&tS8L0qV7R{C^6z;nHFjY?<C6Xe7
zznkKtc5_I3?VL9bfy6F^r}@G;&8dqrS;9+T&i9~SO0u@5hOF{wf7|z-S9>ie1c&vN
zf}XA~BgM(I7hi8!S=dIA@?-{M=;^|J0w#mP-FN<d1p45UyXgaH92@q~si>$ljErVh
zRz4I)pKsTfHS;RTJ(GQbHuzW^XI|Qa3-@EBx*bj3S*NO}pNgcmF8$vs-7?M}BcksO
zcl-Ki(OwT*=E8bW+4jMKvF9S%v*{YV>wVtq;rXO@j5lMD-((0;mGPv<8T`1ji>fX0
zd6~f>;1Y+%#);tHRuS`1T-2!C6sfnb@BAn&1cP9yqMNRr)?+5<gI2-MV^*7F?d8<H
zh@z(pAm^HnDNoD|1#KA5#jZ$8MrY;x`+gwAJ6mRt&RJ+W-<GqqWNkV~-@*Oa2ZNBH
zA<d^4go`+&gq-Sl?Q&9O%y^=TTzXOeq;<jjw~;*m5^{+gZ~>>U@Huv9*z2Mm+BiaS
zR+FK4J`#KHg&nocxW28(QWWPvOMQI;JYbBbqY2J4bFxl0vzrI2v-fAk6%bjyxnA@_
z44foWr(zOIsd$&1&6bLc*>Sq;LJr+x{dkXgKWZT%B?e`In`&vHcBP-_aL9S?+cw*c
zt2JEgyG&HTaq4Cr5))(F(8!Hq^HdyzTTLIFQU%?G1f2F!>sPPuh<aC{L-=gJv42gw
zgCTteYrI@9V{pB8+ZY^o(Fkd8^f_JvtI|<YI~RR>K-8jTz)-`Ky4)pBoB4>!@lj%k
zid8~ab8{of&X#rCLFSnGWw!3cy5R_afj|H_iHW+3>!NHqL7f$9iKn6iQ6J@m6Wq$i
zW5#reUb5UBXlr9s9f4k7N_VCR(dXpkAe(?fnF#X)1TnE0kNJe%T>49DP(V*eG1!gy
zMw(nK6+CAlT1l@(MMFbFL`$$uD4$J!#Jb+OzGVDRSDKrPa(z~IY<j$%o-AyS&QrgM
z4Y?~PC#hRz9OkogX_I+YScojIDQ}#Crf9Jq_)!|2TlDb!vhH}!hyUqUiW!$dNfhtx
zH)L!AZXqTzn2nTi-|cQdF2+ISI5*)dv7c}$>X}0_@4aqeBvg;<!ApZvX-u`vLmX$l
z#y1eP`t9FV2_F^N|9v600*ny%>3jx;-Pi>R;u&m4o-R~$`_q?DfGoeWR5Sf%$)ni^
z_h6Y@-o}O!BnUdM?@5HH3t-Ya6K`cVN(rjAI|iI{Hk>XyH=M0=>VH1W4;}a1ZM|;E
zkgVTrLFt3S6p~nIaL_~it{OO_(RFlSV`Et9JkLL>B7!UKBk0NDh<fhl&s1g2S7(8$
zn(;$|PcBSVBkUvs%o(5RP3%p4mh-e4=Wl4rL)svyTCf6GWTv-aahnbnnS>8di&UfS
z7Smk*g={A!#ww3KGYdNyVL<8@!&6D}DOZ-4mwGwNI!V+eqL1g!sR77Q`&*MsUkCrI
zChtO^07J)1v~iOF=Fr`=#dL8G)AsP{x|5|cmauRLL*He>4*L51M%HN3_FN-%VIksk
zJ3wU0y`F`(<3R#N<~&hev8i{>ddy4eKh9zVW&7?<(t|D%y|f@rVH8l**R5Q;n@-Lb
zEgqsr{3{3-y!&4Zcu3&b*uCkG?`nio@q`WWQ&Om4LmKpczDMh?A%O>j%@F(u6i^nD
z8T+4lU0m+$WH-+8XN?b=gy=eX{+zU8=H>mgzS$8)qF?Jk+Z9J0F<EH^uNqOKF6J2`
zOfh+#Fz%QVGVdrF{9~GGcWmIMuj@O~W1hE>3MAP7$_|1Qf_RwTfI*mjrCQKXA2XYQ
z1F?QqtfVtK5o&>l2cCFpD);e}FiU#(59ijkO$dZW@=?hCJ~pJK$<GG~;^w9V3XbF4
z%F5ekG_QJM&$rLfKxMU>Si1NG?-A5<)@?k`_hLj{y7RN!26W88YO(ohqZxhUhYf}P
zp}>`W52}&qC(J%wUAT2BhP1yOIZv8VXeJk3g2X|KngQGIgqLIX&gP5Xfxv2tFrJ6{
zXHs@aocO*uiM(CtTm#z4Zu@J`AFs*zeSRA7QQ$%Xf4XD5;SIopEI8jmf`Eb}u+zLX
z9M4V@R9>%cszzn3ytTR_Y^1dzfY{rYKmrRg&S-fWc8O<v54OJaRKVd0B1<qO`mPWH
zsleXeiex^sC1sQLo^=mso$smhv$+OJh{of`w0@hFgHkAvuWxT-%maXlQ67`%@Kk4F
zZ+&?3WTabZZ$1A}@stO0=4jPocMRLY(k%tpor^ztHgWmmg2x38Zv*O1^EH0Wv&m3u
z#|A2wl>sF_ijHu+jps>81Q5c|A=|*Gm6Y@6a|FA)?S0Vk$F&O$2X7dpn<3&J4&7k-
zH4F^GQc{=+J15qI3aK8&LTBpsPEH4}nNv~$+Dd{=PDUxw`%zpU2b94<3ZY-(l#W_}
z9xV3*Izge$!m#F9>l<#voMTFwmzr#gJ}dE^Xs>Yg7Uqj8uI1Ub0~~p;nvO-c>rI*N
zKMP;nX8Kd>ren)s>Ks^}Xj>Y**-M?52+}k5LMqbr3#^?t1|TdN1TcbeqsklOMlN1$
z&VDAB>mr&O8llqHr>xH=%JB;eO+j_MH({Z^2+BHn)&3XO3z!hyB2ozS=j6&wQbTSd
zPaZnIL$l4<`W3`BIuaN4Jz0#{+ifSvJj5AD7bidexh1}~qUHVek$HQ}cz>Hp=J?X2
zdb~M2Ti58Q?WS)4Ow>r&{>DEQ$naYRh}Z%2*nDX1$a}`QkGAf|8*yT~`H!rEs^b0_
zmXKuW>t_I9xDR^)JP65Qzxlw7?sh)0&+&FVdgNZQE;XcO<sf5UC@ofITIVghEL&8a
zn=z}gff%(_;?&TZ-tJK0Wu4Ed`?ouayC$rEfrfXv?I;E$kX40eyL#*A*7VTCL?8fw
zY@wl*R+(53QRnZ_VV8KCJE#mtJpFP(t&DhYozTc6T#g=GEHpUrePI$Ft%0wTi@--!
z-89+`PXE?ZiYWtXdczioaK6)YE}X9>i5EkbK5sF-yiDTx{e|Uo7OdLYpXs3%E1Aux
zfUD5|w2wj~;mL63$w1grIe0|`Dfiq%Lvg!xDPUdCL6XN5g<P7h739)QzR;|<)t#S<
zFHy5ic%|uw++1f(+(rKA--rpU?K=3)8{|n@ADy`XPWZVw8CGH_l3QF%Lm+j6$)X%x
z^SJ54t=Q;PDqlS_s-eM`MtUw3!1DH$gC(#9yTA8n5f9i`=<hjR|HPRIxNfXF7)XWA
zd8wFI{xBWMS9dzuWkf)|ri&kCct@-#5LDHX;nHtKpC+RYH{9kiku~(K`&R8@0YMTl
z3k&TYr<E-*3F5-8bDN`>Imv?!DRYJAeSNJ8sL#~@$b?l@f;m}PH^kEY>*{ZFW%&I}
z&~Ns~qoSrJ!bR8A)eTpOA%joZCAFC=8>NCnGKe76;0vuNP%&}S+G&25<!447vvF8<
z)b7=O=fVvqOD+@Db{HUCa&RcZU#jqQ>gYYjFxWQSGBIh={e{FAprJioBJV8J=;^My
z{hvvE!-gd5KWXLVNeLZMJldk?*Zkbm1*n5K(Xl82`rnkS6*O55T}<?e!8m3v2i3(K
zL$E*E{kvhr+Swdb!+i5wmBgt?*9ZM0dkcE`Ee?r@lj?AFpnKtP$>@pF`>)!Vozn?$
zTOB)iOFPZeSn5hy)55_J%p3@2AOmLhx$H?3#V7jXWCnTqoiiF4+;ojdAD*Rz%yqk{
zs1?~0p;rT>{=Tsc3om+dD;7043)NlCkHc?XtSplm3FcvvdgardC!d`$tw_J#*x2`4
z-+J`<wBawOnn#Tu!5qneN!XbocT*KbkoBQo@>`uqOGs}P&g>pCo0M1(N&8f;RwChp
ze0)yUM$A{L7+UdChbD(LJl-Z_Dvix#|Db9!KvS;b67yUxx_<v*Fyz~YrGsbBkn;f|
z$bEw<T$<^^^LtaiZD9Bfd!|7gNqlbifzb0s7x~Pjb^r14&28V=rl;S1qgGb8&n}Qi
zeG)!t?Cjo!n7(9vaI1!C@ZH9>-G``^?Gd-bsctEMGv>jlfGkdt1@{vqSNH3kcJ?D0
zp5;~3@>OrV%)e*vEErH|%#p}X(oqd~Ew^%t_Q;S=iu3WV8*QbjrW)_olPBpWE?~rT
zwK@#r+07FNe+kX1c5Jow^`zY8*hPR&)P=R(_L0Siamv5~W=O(FLY9d_OA*6@&X7~v
zw0$Nj5#J-Xs8(~|iR9dnp8SY`FY5|_VBb1rh#b{kllI$)amTa}HW9j3YQy!t?NW=A
z6Da3)qbU=aIu}iizrwh9$Aaz&Aa4WJgTO7yMhMiEAlvu>ZGP$z^u~ISl<3{d?eQK|
zhym|S)TlkJ9OeY-67NXjBJw{^`H?h4?mo`V^icYAX*%);933BDkBSbjw>CQNbS*`N
zo%FoKVy}9#?Y<k#aMv+0Tco#~JoU4E0SA?D`itmJ$jrcZC~So2Zc72fs@~$WpKX&f
zen(8GE!MC+TvEAXxmq{HDC(9!+r^RrJt9%}Y2x%=@9-VZ?N?L{CkEWQJC0rXk1+f_
z=RAFXR4o<bm&+?hswr<Pw-kgH$VBAJ*TdU8SGysCIw9kvf#ali4MXau50u6DJFBc8
z%PQo;@<Ui+Q2cuS<Xgc=3Yv#g{9l-wDxq9t>Ktt$0cBkP>0ESUobMhtcJEc<u$gPe
zJJr>T=B(ioyP{*&v~5ePrxdoX;CB_0=i2d{<tBKg`JYH)CkA2zn!Z%mB%#c%{L8Fb
zOuR&?NS^`i)gLe!2dMp9_NqKJOJR0aORrVkKrtY6a&nKl)Z6U#_8kwd(qv8S7f9cf
zN#v0fi}1naWjR}mgZ{1K!;tc#`KrG)l^bEx00WKcY^Hi*n10<vKmM>{D&5EU(ZA$y
zNL(vpo{#~t)5r|JsH3d)Ry!}1*lrO4f$3-y$w{ZeE54g$=R!zp-+IJ|#(bHJPbIZ^
zZK*D{O_#J+L!a{>)|K7H6ndXs*&i`blTk!|bo0YBZ7wru9C{_L%oEQCzvs;LBbYM9
z_Z)oiwIVCi(=qf5f4JGR61(ndUi+?e91f@cH0&?9&%@(@WTNj1t}om|9@A=Ah1qLE
zkA+>7F)7oL*pW#66Ofy`Lw;IhI1IAg&o1nFm!4a%&DZN~!^e~QJ5920@r%BTWyD4<
zO?e#e(nY?IR8+WU6NjQ+EFG(JuC{O$!)9jw!mY0Up5*f<L~kTexV*w0rU5q;s25da
z{NQox>K5)@9l^TkOK9ymIJZ7(>6-T|=FC})aP@c}xe-!I{T7il-vGglvf!&j$4+T-
zc=MK6c=s4x+kaA7GqWQ0Siz7+<?uO{cH`koL028kMK?5y4Q}_hWVBe+A^xODWx;`Z
zGTm5?1Z6SMBXjlC`qk{)AH84vejEXe5V_uaKmpjWifs!nl#tl}#ZCoVN!^JaJx_H)
z2mp#U15l3_=r7o#_@<A*C0T=WlGst$$up88N$c<V7|EJL_Bb6WtLglp$Gf7hYIW!-
z&+^H+E-g#=`0v%RQP9yT)~}#Jq<>r6_`5HkJV+D80tJ^O8IMuoH~;a{bkEZtE9Dm5
z<k0$A_FI%;I6QR}K>9!pVRXt2yuRAGZaLp+9)WMnyH7u^Tg#tDKTJ839THTf-q({<
z=<ip1XHs^qNEp~A3p7Qz#)u#uy{-s+90*jSw1Mmpy+NLCkAc!)&2DV|^|yt#yKd;j
z<Bwf$M#LeN4cC%j2f~=z-#7;IE5)k~)+|RzrEG!l5~7gvpk-(6A6*h9D3G3;JC2>5
zJxp!fB}nn+upr*?d;srQ>Ek#6FutbNLi__D)FP#FhK8K}yCIni(VV5xH70;MrSn_>
zC>$$>j9by)AIW|51i9X0r=!Z|_U<pSDZ!6!yv!u#^87f@cMCv0G`a)~b?HlFHSw)j
z<MXLMoFAVkjoC@KpeIcR<jSgFrlEO76q3a>9%*7Ehy~a(e8+BfX4K33wIDt&=8RK5
z@~L18#!TJ{hi1Kx5E_K2G%;SlFdLPF8K8{{Ij;ZyWVc0)DwpZ&uCLDd?5A)6JHC@k
z8Unyv?QG4Bk`ivuqtR=*-$)ziXLis}X(#RU8QqDuw2(sEx&fNd^E~MP0SY6Za@RH0
z#wLJ7eE@r`!tZ~93d)WRzx9o~7!hfO4-A;c-?az$Sz_~~JPeJ{-BL<#kEy@%5a-D>
zj^0TZC(}iVKuMP{;BD1qXw@~{tclCF-Tf2-ve0uOtT-Y3x<`J{>eHdgbvdh4g8LeB
zR)(wY9AY6iut{^x%r|o<OIHM~f2E!rq#7r<7^DSHWG0QTUsObd9F+XrfIrr3IG&q_
zZj^YKcgJr*MW>)wr{wZ-atu}PrnYM5<3#3-;%n#5a7vr6x{PCF=e$<9AuV}H{uYF#
zg^tOI8e;~cr4YxNC*3<^^j)db)O*W66+x90ocUN3%POIdetTOJokX6oswY}CqD_|i
z*^jQ!W_{Zf^fJ!CfjT}IDL#?7p<nhbm=s$4O%WQ^?e7OTfwz?CaY*3#cMbRP_>wJk
zIe*1vSRmM2#(C%cHzQIt1v2(`WVpGxA%Vlg`|m6OMGXn;PnGTl{8H5a29PK0??*eB
zjDY%;{`v&s-AI>YwEtRb{rZC`Fd_8VKHnR`VOz?%rJ!H)k;)C9_sXqP%}Ah{LR!pG
z!nyx5fK8T+GK8|JMH7eY#SeI>3DC9crp?WAiiF5GK2P~-Aal%Y`Ge>s>NN58&=+Ln
zu&5V-u$Oj$?<}f+Bd(+Le4CRiHV-qs>G;L%`?UjKQscW<B;D>WX8*U)`iKRz?rDDn
z^plbP$L~zvzfY)t-YJM~Wwflmlk2iKh3B#x5iqt;&Fyw#I_Tu<{SHssKmZA3{U>f@
zaqJ(}<kc#$?sVqAvq;Hr9jAPNc>`W>w_f}L^Gv6T{vhizneFsDvgyY)(|(b*mjwi9
zv5QdHORG>=ukG)$<^D~Eg8=np5l1Ac3n(i>z5ANsM}~`z0?BHe4FVbk3Z%{`dnpc(
zQZ42c2r}k<>0FHRt9<#vgRi#(BIn|(cGRAv?2kA7><_Ac{;Fl+`Ns@^R!s(}BXHQr
zmzuAP<K(y<E;iF8_3vauu4|qkM;9Z|s%9A~qafat^=P(fmC#xpvG$_-3D_4tx!E~I
zqY+sqc#g}&Em6!pD@m^ANqqdJ&isRrx1-U&0<3`&A*zJb&WG5{Lf^%(q=n1ld4QBt
zq3}38i|v_HO!N>SrO@v0%c^8x$*y`ZRZhn4`0ZeLo-A6{ZIl`!@XYf}lfZQGT8sH6
z$@j&@va0<=k><zEa-*Z8OEJ7PIaO6OF3V|d_x+@GfES=mjkmv*Q^g8?s-Cd)N!_mE
z=Up7(Q89!ryjOkuzP`PJjp|E<3GBFX(wmNRIW~xF-s?vC*j~zW>Jn@rv3Q>$CkcgW
zCP=O-dFsy@OE_7s4u;J46Gp`O?Ue^I9}C-HbT7+CF1Sdu7jjv{KC*7f8N{)<5t%H8
zbS1-wuJqH>TfkG`{EyBDR1%`Ai<P8uvv#rfg~15H6bPqbdM18EfbPu+vfw~uA3zO)
z18qN1i3yA@PQPh;v%L<ci}Cqmvq64xIwOO)*XQwYD{?j2w~gntE>Xj;|CS8w?^p95
zRm^5OKkgh5rbjkLGq!?&t6%A{@?g>v#z$|HZQ*1Fym+0Kzl*DM!A9c*Lx)c&K>So{
zg9G{kIWUwq5y|xGqLM%0YEpT{pk@;(GAEfY>`q1wyXW<#2ZJ&(PvhYR%D3}Zz^=g_
zhNVCz;jzWlQ1b~t;Nm@c=9nn-C?*wp+*VQNtV=1cOaGAU#S@|$WaejRA3|K3*(eP4
z_=&l~9qXt4G=izb)I4EMOh<=kxjOM^F-}1_Li3PUs)K)aI#mT?N+IP>dO90xW&tw{
zpd}v|R{5h>F~X1qc*1oQ0O<PVri{_i(HK=_Y$2_Tnj%j$TZStYEnuOtT!sd5C2m`u
zuKh9y=IGc&5K9Mb8SG?OWR^(J7v7{7CJxGC`5aU;v{(9J=0zfAaI$8lpmEaBaZ-5|
zd#m9C1?50i5wFLcU$m{$gZ^w~!4om@$L0FO?M*^<S3wA}UaKGjVBLY83VW9WEQ$Ru
z0{32qPCJ~d)s`J>*JrD0f(fHWnfNtf@5wFpADpzm9@$$ak2{$?YyT@%OfT!1ue~LG
z&gy_I^Nm)M*c1=LkM&mkxnwIC*~N`jU3xKE|M$`8Rx#uQZ@!I2qgT@4kk%KMS@*)^
zp8Sbxc!A>Eby%I9tnZ6yaKOq+`na2IjP<i~a&`mm4OuywR0s(CV!EZi^dkj>^2Wwe
z@$`;ufF4^s@N$~>JGR*W{%s`D(9jTwh14&=aRY>$)q9>2C2*k5?%qK4wR=iQ7T*VC
zwyo}NrK#QTUCbxtpD7XZ`by<t5(SCo;NeY5?^m%6A8(9C7ow}nR+}$%aZ7pdotfA@
zUbj`Ke4JTjpz@?dq4C8$@-Jxg-jR&AiEv}QtQBaKe`o_h-I0zP*9(653<chli5h#H
ztJ6WeKcqpx6*7V}m@T!(gdn)S8w#zgNk-TPbd=3ym?`--?Xyu=whr!0m)^4?!H^qd
zQvzpHBOu;;1`Ik~45oxwAEPs3wcwdh#Tl;Xv@ukkJ@@W*lHx;_VztSAb0S2hleeN?
zI>*8q9_6H!-R~|buS+s=Yw5qEc*e$_ykw8V3=S+y(+&Rg+Uw+K9R)Exg8`3Xgw9j<
zVq$KZDSq+;b$22u07Rd1zkZ>8-7xnaln|mQSY|n#4Nc~tY%ta%1T}s@Beng}_PZ4v
zCexY%V?B@n0_Rv{7H%s4il&J`FeOfZha5vk5U?d!JU1VU5ayL0N!DE+@j`zT3-}(V
zRq(CV*`UCnL>)tdmX(haatgmUzeBscZ~mUbK#!k>i$jLn`}`#P`@u%+!-vTfCME0@
zXUV@xZUIP$T#i<ir#a&QjeWP{I9;1~ef(lv3El*>98J33ns`}v8KH@>qk%%m*gU+E
z#jQGLob=vYF)Iz9cRCVk12#>ZgD91jHYavqPpLXCDcphjt3VOyuN7zK2EHvS$Q?!6
ztIL-?b=LQZ{69HM|DpL8s6mn6%teJkEn>!SpE{VmB{4VRmQq4aFW68>q}w$&HaNoN
z6j`&{wszaMc2OeIL0~&FcUA2?xv!v-f%L{m@`+^8>t8preqx#;BN(`>_XB>Ey1dYX
zr?lJrzvb-(Ay3jH)67Ynqg9o=1yw`JZd25jnm;?MEE>g0xE%=CgmZp^sRXZw8S~bo
ztuG7IDY;Ud4+$0imO?|IZV_zZ@}~Ti=GA!GLO6?@s`^9do2zli!C%$M5|lFDifa&A
za>x*xR;`0eL$oW!)d(xRkcfFSdQU4$eA*Y&lN10Ia8-SCzbR>wC~GJ3h)FBcg(O75
zVM_MbvZF+`GQt?%8klt#fy|~(Pv2RTYFhymXJ6fsaC+X1z?gy?dr3YyTr53I&%zWz
zcDt2;2q1Ym%>4SU;ujjEc%@@QPBahv0Ui#MllNOXi}uQXt~u;9LiVdHT^9#AC*;ff
zSG$ca-AlneVV=7?qZ0u+B*)FQ<N@<OG{=wmh**W&0oaOEB>aWxn9IJtbbX*B<eBd8
zT60QLa5q94u?2jwX;d9VQ(lVLBY}WUUZP#~y*n)W6g|0E3^NT~_1EJ#flZ7T^nq2l
z!E=_Y;Skinm*3fi>1;a@^87J*T)X9nV#V3>NN?6?<ge~1;EFEvp0CQg?SDWPK_HWf
zop2ih)@PYYZ~xSi@dmr1hy#obHOAXv|MwwrJ28a72w}=h4(WPP2W;Vm1Rla-dw^Kh
zuRa#__lL1)f4}KibyxnIUZefgk_QHy<HjXcYfk+vfzbQb$<46J$<+M|?^lWC)UFp@
z+)wN2UVgP1`t{Lo!@)ujQtO$v-qsuJpf=pt1EFw2dph1x^7zgGrAc6)Rie3rC7rx3
z12GIjjEaOFgAcA#(w@{B5X03Yq|Me{tm+=ZM%Te^!vr~J9<FF87i}|yY&rmA3y*f%
z;G!xK)7AZjwDTCjs<huFMl%vGKwgRGZDGC^4OF+CDhD;q7@f6@K|IoYvTk%)x@IsF
z=lETgoL08`vVyyuYEBXhS_|%>9H6Y3)95sx>EZ^wCwM%MdV02a(N`I~Yx4Te@Ze5g
zl;TA<GHx&QRovkP6P90G;Sn_m0%qDT?Amskgzzv@#VgExnCGVbXz*yIB#s7|J<oEP
zMXh|1cv9&KWfSXckcjX|(q)1hJ8*rX?yLc$+pb&J7W(X)I;WU|SpwFq9C#=>E!#u&
z5aHw>q1B|^r(Iw~o>W!rPE>-38^WN7Q-mDLTeW~tcQRbM%#W^~7EjDY+8@!vI68)D
zP@4GdZ#4OLvFkDt!y=h5kz;jf!G*0@kb+KIsQ3V%>=J;l1rLlxoa^yN^KX6q`6ckg
zr2VN}H)~p%T>jjK0gx7g!4z)9P0o+75Wnz+J(kMEQ+DUJEvz?p7YVM5TQj8!TM?F_
z{<Xa1ZVq{-`zSdqZ7GhSLi3R?_j<Zfj9If~D=PZ}0KzM1Pf&}Xzq>DJZNMAu9->Cc
zwa&P42QLK?NY&E+A8e){8V6T8qe-tLUUSYX$;qKW@K{;%^czl)jhs4lKml}pPx=O6
z@~h0eerOHNY|5V<eRf1eV&|%|JQR9(?TK<<med@zh;W1)kl^#yh3Jk}3}%v@C$!nK
zwEkI1{7<TSd+KE(#tj62tTN&+(VPAoVUB@}B>m_S6_A*))77MBW+|Oh@)xhpcRHu4
zi+~j}2)G9SxK^$0>^cejcS#Uqg8keWE9pWZxVZ6>#SE6y`DKu|C7#yguWC;haB*w(
zsAA9p2y#H`4WF&|Fkk9WP8PDmhX5~MzbG_|%Az~IJ@e|2IJWD1OGQzWZwb?N{&_HI
zggmp6FX>YD8?_5JACkGPhhcS4BWvysFP&mpmYlDQk;o5(CBcQw`6{4XGkDQvsN_Qt
z=_MT+NTuN7uKtiOgA<inBVR-+x52fpN?aiG>s*bMUJ@eQQ3#e}!lF4r7Z>1Z4=2D2
z?48d`$D`p4$o%FM{4X~m7%-7DeD@6=ycHn5%kF!z<rol#0OKNaC%1ty_?GvT+r}8;
zSw)X$4)*#$m9<zMa5h4328@aNfVw!@Pihu>GEUP9YUa3D&hmwbm4t4OLCToXb9K{B
z^0<jd^FeMHhUMF)IEs_zI+2~iV3%t?ef76=zTRIyMtxNvQyX4HMk@tkh@PGGR;Tup
zkmT}=9M(aIT@%QCC||wMzli<L7KwQOXL^3<7<%*N&-%UP)V{qj!+_SK@p+0%W;bB7
zfS3YJSh-9x;7S&uHsVKE5SEqufRb?dxeVFfj}NRT``?IZ9Gu`~;#3Ik+}inUw>!ah
zw;+L8Co-3>nIlstQa<tZpUO}`Wtd-ebioPTywyC3Hd}H45-dd;f0KYlH6w9FWXknJ
zNT&qK17TX!sGUX-YZFfeRZ$w|7Pl3TW4p966o!X~ks<8d-0C1W>Y_s?8ctniyf@OV
z?c=JrRc!4lCxPmf_2B~%9^Mf<Zy5v<OHKX=_u`ehRNHv7zd@Ue)RiYQs!Yq~q*cbS
zP#PBqtTqnMf+(d$9VNDnDN1E$=0X8t&<`j_+aRdPVkyP02nC~;hscg3f@1KiyJU3X
z%K{k;6poqrI@``VQ`qRT+)zQ=25!p+Zr160&b8AVmX@?4CF2Upj|SMyZ;+OaB)L9$
zCp#ZLf1=9;P?x4Rp#HWz=HnLzw%TW3JM;jQesx};{vRG-uBsPU|6u`c!~yoyDD(&%
zGOmt0D`^o&8{-Shsb#AA@bZcZy6c~g(g-b3?eld(Fn~efk!7+H!%JP!P|_v-0s{2_
z?GP)e($-0f1E<s2hhTFN9m$SGeYqvTSnws$^}&eXiR69Pb(i6@X#4<cD%Ti-(l_5m
zvXELp#gkT)fS#N^9lmNGVz5kwAk78$En5dUfxV?Ag1)qav#cR<vT`uEm5`&?#?iy{
zbblNI;YlKaAh<exE;6ud$VNwffWMS$*Jt^yw7jFz6iT+u*Xzsq<~Be9`COb1@|s;=
zt*=(_2Amd&ZWMnC@pO}fm-aH_df4Rzea9)(Cz*TUrSjP4a1V%e^P(0vnxx`%BHM$2
zC|UU-8a?55)p_N+NKxJKAhigBZFlJzd}%-eu_INFAKd#$Sn}`zHo40Y-^wbZQ@TQq
zStsC3L5oJ?O1gKYS)ntCNCW|%1PIqabTlkk+(Rn3l>y<!MTo5ub@bkiNJV<rB#_+!
z@qo^D0^ShgvTi`U$smZ*?U{JL^PgEjtpyN%H}m>bh0DO12-31~v?P56x0-15A;0=z
z;vaf@@PZfu<k&&LrzXgb2ufTY;@m2b_UL^4I_mu(Fw&{ylfhqp=<Lynq#s{+t1hb(
znWW0w8C(HE91|5L*i<j6r?Nkl4~4fqwQJ+0d=ahS!SWy$J-Px4gJa*tvW3=oE<Rhk
z!f*;vP%G4~l9y9N!6nn>20IS6016O3*1_Q~|NqDe;HRLszaCZ@G=p~?0g^_k0=k&9
z3Rih!gbHvch~eFyYk4csoyKO0;SF?9=UK)T)>RXZZ##BH)5c90O~>O!JVNN8(IscA
zk0NuOAMR+}mzOV4BSfY6DuBEEjk*>R2neRNT{i7o;SSwxU0Eh!pi(liA_TA~afQed
zX*un?%@7P*v7YXuG1b>TRs=1B3CKi1Wnegb`Vk-6UHfbj6@n$sj?!{*YGnZ^jaLJe
z&n8g_75L4t57;t&Q6aZP?nX%f1M$u`o&^@rL(?mOZqU)G72~w`&78)@4PG{#x;s#M
z6JZ1`NJ#kQh>$TN&G`yyf*eM+9;V_`Mg0S<Yeu$5)f21_V#|yUMNu?DsEkUoALk-j
z^}0}gbxv9v3J?7NQ;fk!ZYD=4ba_?(tB2wAU@&~tHcpBT7xZ=6+uQS{l3bT>LPa5f
z9d!uwo{<L8_M^T|6Xmt{oajtrIkp{vAiRGoo1-HROydhggksi}9X0=O$C4VzD{GkY
z?VSTZc}QdNP2StWXhR2S<qhRTbYfmYwA8FcR<}9G4XP2nQg2HuN6=zAQ+6j(gsxla
zcbeh=Db=2%uyQ<61KJ(vyq-|9D7V?y`mrrefGi1J9g>l_zR29I%)Atr=dX&d2At5(
zNoi!r)BgLViZs|@n3&!M9ST~}POwDtZ&jc7#%Wc74XxrGM~9;tXXhkbKkS}-BEGzG
zD9Bj=uif2W8c)e*T+n%0L`r+5@nv<lbpwb`Rjcu^Sy<{19_qSPv#9BbPHW3i1a+HN
z`(F?omyB*8`cydoI8T=HyScx=?{wiw0**34=3oqPu+jsgnX>5da9%B<=jLP~#G}G-
zp6=^g7qVYx)9L#cMs4lbR^XzMem73t`uMdH#rBvybC~pd^R1wv_^+w97UBZrhDRr7
zl)1ZcHpQ|M28eDiMv|`2h3^q4UMG4_#=@$eK*nT8TwbY=tUf$uZzRVJU6=deSx=~w
zntUT%e`i{)@$L4c)paC@;8_(FM893#`c>BarH$@358W1*`!nG`k}^Rz1IB`@dy7M@
z#q!t5y6w-@BxAy{<1@a<yv-L9QkRDoG~#2ZGK74#+PBDfB*=j-bKBY3`Rv<Z(45X&
zpsKfvuuw(WKAQEkQzE&l*`T1w7@ERCCVY$ocFbivqQl~&W$}4qtAhyCN&I40^m531
zkStq7d65t{WZB<2WTBXf&(u6Vg!zga1lnn*;@hGR*idL`oC^hrjtT|lV|RF|BI*b5
zOTy~Rl}LnX-4-$<4EF}xOW31}WVtL!nTRxXVbqqZN<Cj_M`s_!P&JfJOhu=|p2Nuf
zxE6F4j@fs8B%p!-SSt~tB|Ez+r`GA`Fy<nOF&B{`AUyiRKQ`x75yviIQ__6=IPNY(
zU<92vW|E1&mux-w%V?3F#nJjG@QsS6q@+L~BsU+lSSCFVFDm`aVRj`#6z98V$4F;?
zuuwu9cQQR-A-cE^2hJwI3CEjXO-L9?HQumF;4}qeC6Y-D-3{jeT4=}Eqr=YN&bnR&
zAn&IXh6O7|G*2I_#y*sNZ7y4$ToeH-j9}mMK@^diCI~at#a_3jiAh33gTxJT^4z8-
zDa-m?rG%yP`D>}KPj4>|W+rsTkhib7n)jy&oeW-Is27_w)2T}y-9QbJZXn9b<@dVj
zyEEfd=ORNoM*FNadMoba;ynsz|7cf=nAUhQ3bzBah=>6=JMxV~l&lkRHz!mc+)5}a
zL@&GjTq7^JJX@un-ai2$qt=fDad=jT8~J8xQ=hiATw9fO;|mgJ1Rh~JyL<)vXxRr$
zZc+RD&L9Picpk!(v}!6Jm3S@$VL&G>lUkp}t3GzBpVj~DdTXrM0MLdf5EIb$q~3Ha
zFSvR5F%l>Qi)}p$@4<|gIq5_W`Z?bij3^@HP1TJKgYPq{EI~cqMn(?DvSY)b1Qri#
zu}%`dyOF`=x_&}O%}?AtT+weip(LF^`Sl2ZOXbCU9~c<B%5Q(SOy<<<#6-}%P^#iR
z^Gq1Noa)$>;D5;Mdv&@3LW{tcRZz@4w$d}34bmW8vI4gcBa>|MSHx=KFS%jqjwoti
zEig)!i5S&#au1X0RTng3_fR!Va@r=1(HwP|b0<LKcxY9#LljeaK0JgGXHeOH+yEOs
zO-BwyLrOFKW%Do2tCpX-7&V^`D>LyV8-?QJ=tP1Lrbm(@e(AYA@<`&^hI?5zY)n=n
z0ugovQROv(LPnq!PluMP1)lbXXB%l$`Um&O?Oiz?K~FK{U02kh;aR&L<Ocw*-Z|S<
zqJ2=KQJn)L`)pseM!|<j(2*ist&3om$ssLmVL0mRr*AI~biPjsoKoGYkL?jzJdf#G
z635}J*uIN1H!~MGXiIbQ{T{W{o#F6cFd-rZak5?x>l`m0{5sO2V<QQ3>@xH1k79t`
zVw!UGqg)m5V$(crDAl*2HO$$aD0UpciaZ%<O$2tBLIRAq#d3ZnjPw^s@Oz!VyRItF
zr$%1?^^1QAX-8Oe0Y%&0;B^3caB^OWDai!c2l@!@KWP_w`18}}j`*TMx`>oFY7JLj
z+;1EU6)O7@R-{WhaWY4j(xMdVeyZeFJh8=cHP8tA^5+gJd|C3GWa6|<tBI=v?tt5t
zsuPz@IA=n#NF_+OZ=xH#1-OaL7a(~KZOsgI5BZ^hDtc8_0Hw>U?N{LPD)wnKuBwTC
z&VuwY?X<Zl@3sypLp0O=J{KRAx?fZ|BOd-Z*uNO`zJx!1{5Ux(3-B9Wu|YKVqL*6$
zGgatZESTRYE{KC<C5^~ej?S|XZqI`lMc+s8ma}ydeG@-qw5PO9Quf+ix{S_gB$gQQ
zN1OSTF<+`vpT~Tg?+!*H1<DFtf%FAGL|tiSYZne!TR?N<PR7JPbxbI`)q@<n$k91e
zwYqCx!~<NB5;`fQu_zJ0JBSfVePN-jrXXs_I-+YPi=9eaN5RmL&Gqx$USWjQjsHpO
zA~5*wUhV|Y17E!7UMIPxk&*B4$}qy{-5+kp@=}2)hK&p%4Sl;Kfe7()bCaQD9+1I^
zaoIGzw-J5$32mR?I06pb^1oXQ)IQw%h>0LcCFByeWRWbKvsS@=I2OAEnG3Lw?3eFN
zV@ql&@F|#U;bWHHC@J`Uk|Hd0UzRH}O2*R%5H{}Ts1X1%cOEw#O9EYMF)zuuZ51|K
zd{0&0ponQabSL9BnFr7N4ltSe6^&S#->MX@`$RT&k8Ue2QjaKRGocg_g2?{xh1>7i
z$tT111{MVXfeo}so<{!QxWHQY8BKBDL#xjgY`4@~D2!wHm6Gasa#aZ?83as0mvgU1
z2px^0tQ_ccN;3Awdj0x!$mL7<#4gaQwxq0}FL6sd?BwUb&4$JUibrCXo{N=3k0M<-
zU7RKlA9D4!fXa<2=M`)v5LVW*f!z@ny;u(XAZxF%C{*uwQ<P*w`H6+QFcNSnz$k|Y
zv(O^|siA_2S5#Pte()oby<Piz$}erp!k=}F-nJ7FsSm+XEOA;Gp~Bej7xUeU1@}V~
z?M&<G#Yv|9NoS;dH%r<n$R*Hy{Rk*58<X`LDabieoLv`(GzrpWsJ^J&1Vhpq+F5{}
z?*Eu*@VX7j`uth!Y{Dwj4;_+x+X^4_N;m@BWJn!Q6&FB<Y#y&47ElTuhChLR7^hQE
zDcrvXhx*IQ$W9WR3P9VhPcz#wh8Gf=TojY>`s>E<#`SdmxP9Mg`y{w{;sprL)_g~7
zrm<!Ev1+g5aj2P*EQZS3Mwdd0@^+9c1dYDJ*i=)Wwt!?Kr~H5Kia9;EQ&Pe(_FlV#
zz<=Ed^dZ1C{`GAoq7~5`*s4PUf@TQ?O9E6_=YWQW@K4uv^VV+)fR@d6M00~vJD$j)
zXDP4WnhJ2<B%L4ZLjsqVzs~mD`(vVEhTX;F;1H&<?Mz+d==cKd0sCxpL=JEc2Z~Qg
znf~<SM`NAHlE%(~<nwTXqKWqK$ge;RP<65$y92PUwD09GYucH>7r#$sgu9NzzcsU2
zeF2U?VCo?UJ08)lz1(jIX_gKIeaqP;C8W|Pt?JNDQay#~GQ(Ob(1@i4R6pQ&Wk$Hk
z-F<@)1Q(*U`eLsjYrI=30d&{S0Mz)tNF4OsB*!Cq1mC=Q3OYimUa~CibzcVpOMkAq
z-&Wr^$G+od-ZNU7c+|HN`lsRY-vW-d=n#G7j$uWF%mY-fVn8FCIV|*r&fjnvb;e7~
z=PmYdlZCc+Po)`IF(kPvTcu5V4Jwpdyc5v!C+bqtlo}im0FSUAqK}5oXY&{qEfdim
zH0@v*JvK%LI#I5(f46+=8SM$x8L3??5)4}OCVqg(F2euztAK})MD(kyo?fp6(6u7^
zKY&d)0-@H!x;+3M-tj+nkEMGY1x_bz&cyjnHK-WzdrEud<wHKqIJ9|?#dmHUa8@uj
zkS(zR5%E+LLrQx6ZiaFMg1`nSfwlsXSmjZHOBLZ849+OHhv9pFIGhIrTM1RM(qLE_
z)2i0up%*Yh{`4HU*OJV~DrVGg-5V7a$3_AYs;2jJof9o&A)MMlE%|9$YHAE%D9F?$
z_Solqb{r8+-W3+z?xHmIqSqHVIoXU5pxI43Hd8w`eWGz}JR&y=xQv6Twgdi*K=XzZ
z@Z#KT*rv34far)vxG4~V<kLYZm!Yz1PQV`}@`K28N`m8b)gdcb<+BI+LJ(`!pY9JN
z4O-)~27IeHtgSD;bC^YlsF2eXgB}|OB7r1rkhPG-c>23@625iZhsECfN)Zj_oPwHR
zbHyR8OzqY$%*sO@Za-mR>c#y(^VaO1rkd5Rv^^6(_Vfn>lt+07JbJ)f*0y!fWeObq
z#S^f|1Ohf)M*pKjVqX{UTV3VYz--6P41&U@ySJ;+?t4^ipx^*al!|XGt9tt2z8F8v
z&G2A(IivR!eqXuTO-EZzpAOxVUsE0tWDjcMW#s?Hl1@>wDQ@8I!vg`BhE7Mvf+Su@
zP!IyKwM%ffnSSm{m(+(=P>BM89$Kpkihk|y2kDM_#=+yE=fu$k=%Z&OvJ?as%()KP
zG?5CzI9lTiH>G0iJw$)Amlo{+4cPVhacy2C*x5<H3gJY1usc380oCsFwM9<84d&Um
z4h`53j9_G%euonyq>~vL&vyDz(^Ybt+IE84_W3O@IPkM(o5KjnMXBngy0U<V1yLO-
zKYQC~eP^9&yVSJ^8cVt|FZ?61tsQXO3+)7YORx2eI{;bOYRU(}w731}duj)PB=uoI
z5C@2h3<p5V7|`RJENFB8P-0NxAYygvo(}|2NJxmS=6Q80y;whgnY0S8ci-wzqPM?i
zE1d|~5X~|6ek?u4fwB&1f@;&wpP-Ydjx;r1tbFY~%BP#OO<jmI#dKeW5Op<{*tJW)
zWnwlQ3*cm6{sm0qIAtiHLL3j>H*-atrFpD3T~A<>-C3GrF<7KAlIU?{v`=WS@7|Y3
z+4*LBI@}&cZX66;fEd8t(H19S{6BZhV?Z!vS0%?lvF$T|jzs70NxA)bgX};0<vBQu
zG_+h;%yM5%JJjQ3`k(O|`)pZm&U}*mT(mz`O`lU}OM_20Loa!)VFBL3VxUBZ#+9N0
z+M)o9<p^2`r^QpDZKQf(qEmFn2<!<?_c!Ta2KfSI!vh~j`VUVJKgngAzq93k*qO}X
zsr_0*l=ATSw)F#kg%lZPqI53M8GL20CE#E9k*n{d-!Y>FoaaEDBB_>X$1>21)cI*8
zBf_rKAR4qv(s+4!!G8YtI%I%R!gKj;((YzuKnI|MLV;Z(yRHru^wqN6SLxf`xxT6l
zJs@C3obl27F0pkRn;bL3&BWKZJ6|qfi@MJW?Yr}*+`lW1$)*Wozdr538AZ5i(hK#4
zEUtsQv~^<lM)LehO$B3P(c+|lIC}Q2EHsOsm?OoKf;q^-X!lFj3w9r@;OC?&Y~URQ
z|K3GoNdjTn%)*5ntYpRkZb(gR@S`Qc-5Z^ux4uF&07C(&4CxP-pz(zN$7uvM;sq)4
zg@ice*0M+`ONE39^%tI&TC~QK+7Wkhx9ZY<O}OCKr4U6!nVl^mRk@Y|`2tm?;I8ir
zP75Jj?}VuP1!8q6(JS$ZLll{MA)xaJ0s+ppCF5y_`6j%$I6Oo*kABIR@ib?2FoCoY
z7U;bPhAg#DzZ^G2n&i38v2_PvcEp;A>1pG27#&LOyO*cjC*lN}ywBKuUC!9GD-a<j
zQc+ZfFiWI&i2BDXOe$tZi=^JJ6T)FhJ{gO`wc)ONm_6W7h8uu4Y>=s#Pt^XGz5l@V
zmd!3hf!noe0U8UBn*(r_62=w^i%J#D%wP;gIy>O35xL2cp{0p8K~~}kbQqf&E3q86
zFu@-_f5I<wC~e=222k>p<X1?Mf6K^kE%<ZFctjAj;l8J27sR)ep<!EF#)2#K+cz*`
zJSN<ykE_f9f9NKQSiVT~Inab0y0k>Bts5T(XkpO3S?;#+H1YLoICwcm5KCvi9q)hP
zxaqLz1rAn_QSYa@jY)w2$w-K~1dKO|z~IKEUry*T=QXHd;&213a*h<mYl{wAoI+?{
zLkC9(x7*glL-In|hQmW*BjJ)8I%vP@&YVp~Ok{-GGNOzcR|-w0Xr_GNs+Ig@U}P~1
zR=~8nVKPL4N764wQS9t`y!P(aH!@1%Ys?4ol0aRQ1;hk8h*k1@6!HcJl%T^|*T`pU
z_}zLNa1)wN*KnV#NQ<<rZ3fOdbYGm}Kxf@VZk7Ni4rn$5J<4rB?_0=C5SD#o8A~lf
z2O39ljJ(&zN!(58Y{3hjrpg=7l>gJ46D6Ra6+s>_?S%`vk0Rlv6As~(oU-BqnbH-6
z;WwlMe?zZdZv>GN%mL(@Z}LQ53ctTrGIVIdL@XpxyOUxPwJW)tG8W&v@@v28N6c<9
zLd+A`@Ni^s@WWNtGw>3mqby#NqA$&BO{SfUL@;G4FpFEjaevUje<ErWb~1QFCvrYb
zH~JUZ&cq~k3yU-^?DD<!gHK2gqJ^kuv$OaYv<P=^L92h3<Y*?gUkcnGN|n>9KYEHK
zmP@l;mUsfAu`RmYOUSyYEzJ$eW+1>2!EU`&Kw63AZ2?L$^y^ytw0H`j5(4Io5~LkV
zyNmZ}jD&M<007terCANZB;lpJ!lQz7lEFh19j%hOXMkrt3mw=hkUZ0a{Es!Qo@a?D
z550XD5i9lzS8itO3;d&TC<C7>OHOt>cqx)K<n;t@ou3S=!&?z_@TMJrOjIX4-=i6B
zh?iG4p(IcdEO8bjEiAiqGpm1t>|#iR{F1YHgI@4wSbo^p{~+(JqpJL#|52JlAG%Xo
zQV$Ihhn8*$DN#}yl<txeQ3+}3MnFP3#iBv_2*RO3DapGJzCYjZ=icA@u66&vE|<&Y
zlIPjap4l_AXI}FfvjhL|z1HwO|Chrm+9>!@2Um>Tim)p*=snpf5)Xu1=q#r5km!!r
z#+#$Yx~jyqtp?IjccPM_T{q*&rrg-`U!a(o?4hdpA(6}YHE!lj_`)A<{04=mYL}`3
zr_4>=2NSjrn;CC^+D<ck9=;z*6?0B-3w-rR3?~G`OBw7V*4?T+%WsC1ltI;Da^hC;
zB=oHdi4Ayx29!h~1y{}-ezEhuf*Q_htM{^i(Bh<#b;k#m22+J9UdF4ZR-z6%Q5`4_
zz5iC-%MUn9Ufghb;^}|m&YjUXasgSRZK+Vu`+$b#j6-{S$g|tphFFW<E?nz}WfUsW
zcq<Zg4wx#m${a@*Ip|<G>eV2hRX>g=Vd{CAi0)d#Mn(rcC<pl5Cz7XP4W`g!sJIUi
zmHvF9M%OCNEyeXDl(?bK71062dZ2s%PtD91lhy)sKy6Z6+0HmiFS&GpUAwPy6JT4g
z(P$o!7AMtNKa6C2H{>Z)$%jiNv)G7QL>=h-NIoQc(1!J{Em&$sSu|)}+uL@fkxVDg
z0U}$4hMeseCJkJW>t|Suq924Nu%8p9#@N#UC<7`u0?1=@G<ie#p*wZs#QW%;USe_S
zP$cmeG#0$hw>C~CY#@SLO+PyhzX5ig)b90gOH80;k8n0wyrBe+AB5>5+s(T`%4mO(
z=t0aaOq8)9l>>HDbSP>}`McZp8+_0pl3_&BI2p}L_I{$FAg?D{X25*f^K;}><2WW7
z?{AGXL+gQxxM9=SLJ6G9T;StD<f)LNl;+H)(Ris{snr~+abnw<DH%cdq&u@egnlsI
zAft%Lm%4-+^FqW1#0@YEys(fmjN4`SpPQWhc+i&8#-d%kw?~Bbt=`d#xG;^^KivcM
z1hf#F@;h{FUn^>C%|p}at58Likz~3!q6d16%=JVMKHu{A{blc_Jh(qRfFox>!V%HV
zPC$F65}=lXh8EO8;um<;UIeQ@4-!OUJr$8M40{#j?(X@He0^%OofIp#X86^}lxpfW
zj^i6CY4iZyMba|W3fBS9*uw4j18-ZIcI=Z!zV(k(vYTS&taNPW*?(COloOFSx7;)P
z*j-r2)3vs@>l$sJV5aMH#9(;gkV+O1X2}y`$GNlGPMt}HV|`DXd-xV7d3&3G?}>Sh
z>F?Yr&!RC^07Et~44vAHnwrIX@e#kZEqC_l`L1PP7ifD#kT5HzyVmqKbLCn+vc+wj
z@V0Ual=6Xjb<!J<&j6(wQ+FAO>s_~#5L(As71UKsjaeM~+XML!>4KRa!Ue%&d$WBX
zD}Wbcfd%6ZW!Ik9Mu@9b*Z@SA%!bugJSLUM2If3Y+lt59I!BEw9x@IiVq~lY>%;WX
zqBF_o?sEJR`SHQ}zSFlQp#+D@FN5zk5W}-*LTy|_itxj`$~wBWyG;ZrgTw#9-?LTB
zeJF|@?ZsW^w0qg%_kQM;^_qKLP1dmHkJE5N|FT{T&zejb5Osybg=otU(-V+my1#F|
z!$iOcmwzx^%(ldQf_BTWu)rCrZ!F`Z&-mSYTgA{YkNYAAUn~4B1xJj{q9`t)cPScg
zG^!8Uqz_rd?Rtgz^oOD<Ij4NKINq-awdAsXh2&;F4&4^|D$832nmx~re4k|X>ZDDt
z9B?$yXSxz=x>P|TV?q1^pHj;w?3N4V{_PHuebISzn<Hqq7;fR{V<qF|*#@+pB##y!
zUD{kg@mR=t8Oe8|%UPF;?de~X-)R2xd9Z6qNYf!mRx;>_97{Bq7)$@{u_WW$+GSSl
zHxLO1Zgp}_g?f|d_IHY2qspU#wBUB*T={HkZZ5Q^a_6mRfiuo$pv^{4i60tG3yUs(
zKGcXgwPH{3W}{=ct}o5^w-h--PA68}gn6vCwlC3elk0}J>o*MY9@I<Tav)O0Ne2A~
z)^y}pEV2V3%bC6`Iu;2_mw}L->L`y~I@3pwhSp+!QX*K~*;Zm-uxh@+s;!CXm?lrq
zx$y^=Bw8xO<?wk{rc}*t8oB!GJ2MF$UJ1Q`kR{FBIr1}+aZF15O0AY6W;iNK@?g`%
z*pNs*m|e$!bT4wsM?;vgwHSH}$@~GW?u>V^w`^egU~_s^#D?mMxCbbT_i@x)2fFco
z9IRtwmGIuBOUIIdq{2H%GGd~APxVfgk-~2_G+-ES$4HnScZ4w})QXV#!Xy!!b%;1M
zt{?HEdvvjs5@|*mm^Z*_Q!fYW;QA+rnv<c5mhR{>faJU#XhPzVi>azcmBP!syi09h
zq9gInP0rHut(99^|LIxO+eRq`>mQ*PI!DGgp5)T0e<79AO`+c;N*+ieG33xnqrs;d
z&<wE>B{}hi>K>2&!A%Oux7igoF5#`MVzh*L<rZv4-OLXu<(Sklv_W|>Pb)F^9?GFR
z>(Z04C9WtA6wHCs!Q3*_?$pf_i%Q#<Niy0a#7DP7K5VVM%e(#XzAjdH4@?y5s+#fb
z*%AT{BoW-C;4TZ({xxF<#ZoO8=oPh2N9k-Vl;GBFLoPbJTkE(ahGT9eeT<c=bEZ>?
z%L2iAt^1J=Kl8nhE+^aOuBDC2d#?z;`J!Kvv=G(v4CvBsKP!v4$<q4WnbSk6cz7@l
z4mz^jaW;w6^bJc6y&+M>;<(4g@b8vH4TTckvcCxO^|Nk-=9>u9g{8GQp+SjKH7>j0
zV=$P{NeysZW*fkNRWXXVWWV*XlgJ}7X0x`jYmeQm)9e3;QV7<6m@aP-p}uY0Rn^hy
zZauGXolm|;Jr0lM+=DRbAO&ZYHK1`x^tfGC4CjetcFE3XT?G@{1C6KClCfurt+_tU
zJJK(Rfm0T`$-t?_+o(WA%dY45sj(K-#eKc8l6G`B(GJe+A6OljNW!9t*_whapOC-0
zfH2LGoCJJKP$C^o8`4P@w<cRrd%>!mh9xZKJ9ws<Dxlmg&a9Pn$pWmTm6N!}+(haJ
zMBF_tYtwXogXbpJ1M3COb8eBNT8&BG`Ockxw~%K{NL<7A#v#}<3U2QPoul1nMqD^x
z*F5VBodu~V2SlyX#U)@9&Gqs6S+PPM1ApB1aSgX5RtXI`CZo&9EZTdCvOx>NI2rvz
z!xbx3%roSfY`YS56IS<M?ekgyLTXKSw^)o_b1b(J7A<Oxw~J($1Cpr{we#<C4ux4O
zz*JMYG{Rs$3|MVJG5%Vx52FrmNN|Bp)HIWuZA#XNNVhdN-v)Y!-WkDm*K2C^9;FY(
zy=DY{0^k3QtkfDDf?Eh8HE&-92{#rxcHXmN)+Z;>CG7<V$`q_p555&O1dDK8xo2V^
zQc4S^c+2_?35VvG&f-o&RLty#lpCxs>gG?M8z|#cE^Y8qoHL2OYIyIzK=E1ED)6e*
zRn=4o^3z`PN!;&totHmC9qkzzd1jv#r~|3c5R>(^N+$8zLF8yz^#}gwIPM%QKRZ2g
zOPdb8;7SoQ2l-nC%2<SuyUlY-GBNW!)?T0j*Ze}51AkS3FLNOo;IsYC#lvvR@(gyL
zX?j0)R{egzW~Mu{rgu^+6=m*!vhGNXlzuF7zhhwD&eA9rF{MiA+VsPiOtzV-EyBT0
zBF*sez~?xIH+Oh(and)dMwbx(i|+sXA^l?Pa^8}84Aaa+WZ~dV40o`w!apW>OR5?!
zcgx!#WgX5HV~jS3eczNMiGRh-5iGIMenD>5lUWI(g;1^FA5k|Y)jAzG8g-OxB7yup
ztVH%mNMUaOg|RHwKpDq<A|4TbXb7OK=;q`b0^22EJalAp?<t=KVRaTa6{Tm{?F0zJ
z8eCgfgu#BNx3R^?nMm9Hu{SQ+3<Qmn>Yh+}H&fORb9=<9rq{23d3xzC*shsrC^6YF
zTtX+o>hKQA_&N(tdy<DKqC926O^J#0D29PQdjOTzK<o-roikcYl#CWDokyD6&Pm4l
z7_89!!G&zx{x4F-zegkhF6r&qirIyE2B)u4ERvjJK&Rknu3bQTdj3R}+-4&7*9ji<
z^D67Em>o&t@8|0gpQ2GnUZMTYSS_!MUlb+>BNmyDfJ)^JcM}<xnEf9r3pz=~VL2p2
z&*2D*tQ-1S$MD}xFX#y{-o}mKNlAVp=aT2+W;jjMSN<WcO`_#$-}AB(L1gU1?8!E4
z*F#w@-+fRAj6(TbA_!n}*P?Dx^#4EgDc)5Tt^!OW(II4Kk(!tsK9)7HO3pJ2_&sY`
z+`HLTUvR>Ct3z1S;B%hpz6@*YAL(^!&eF(dH-I-eIwfwxjD7jpPpxykK!Lsr*kxNu
zpv8{=_95rvjgw7fy>7WCW|$?89<~LfV0YX%IklpsA4_8uxPx=&5WXyZ8_SUBOuMP3
zp-M)wuldW1CPW-J+Kadfa6ECB@%gyl(OX*?+8F&e&G7Zf1C$ug)qeYt0!otl`!)|A
ztzn*_=Lj~}ax2hT(9Q(d{aCS&%ujnQcEDIn8Vg<n>KYlMB#jf1qGsO#@HFaZg~%8S
zP02`x*F&>pP$VBz@;q8ee>QU(OefT2dchZ;(oy`&XQkeODTV48(-V-D!}YU8RLp?#
zTI<@Azf!AhAn&X5fUw<6sv{bBdL+Jc5UJ4H;<IJ%mEZW~1+1<4W~RKdQWfdXBh?xj
z0_tZjI5Be*5-x84%ZK*YKrYkkq41KXckgnm&RH^A$m&*>Ykt2kWX7Ti(e!@Br5OrH
z@7|WVLmyPdzWONs_1)_t2e&5}fDcf2YDXS4@A^e^1uQ;$r4^j?ZAuMe$RmElu}}4-
zjZ#&tey$43zbN&PMp-NQP*?Z}i!L}ZOL^fTvP!DCWAaR5Orvjk@*KXtD3Z$-LJtew
z<a~&q=(&-|m7BYOP|E5FKRp^AXgShpnjS`k=lfida0cOfHOoktuTUWK2L46$zQYM{
z^2R4wOc={F49bpKn}V5PuWvTjvdfoM#9_w*-OCWi%kPr}LemHSo$E%4qxk9pry<W|
zG`wFc_^L>5Ao|%G3>oo%Iru!S4jDKNwdh@e{_u&|iM*@&#>v#}zPOQOE=}U?Rffw!
zO%r9nJV$2_9&qdb@Jq||WZr=CdHmHw?z5w)@ZPpOZ}KD&l>d7jq0p=LqF^kmFW&}I
z!AU19{?(!6DF*(=>~eQ+kVYsD>T<@a0lvBY-^}X9%?X5Ri8`Ut?sgFQtGN$uY2qC9
z<-ftkGG@_o5)*(GsgV`Q`QlNZiDA#AQ3yOdqp<%MDdp?u`LyH$16{6BQ5B`<Nu!ez
zyiZ+W1VVofthiC6`VLYWOZ+R3g_jt%WWD<{>MvZv;4h8&q;?X@G~T07i;sK%a*EjL
z>{0PqS2)CIH?ponl7gE_8Vw8MV*(M*AUP<2^zJG1jZV8m4^H!TpWrNu7i$0_%MqS$
zm=f46bB`nDxr+l0VgJLc#;}<RSS5>u+gV3+hQs8!Rfq>F)0;@TE+#?-Ud)-iVohMA
zHcl6({dE!xh+DuDqn5;rouLLI48Esi-MyC@p^bFx2GcLZoJzr&9CQp}PdwLoZkzS@
zih`TyJp==Msx*tq_D%M27=`V`>W2$W-sH#fo<8hiR7$|O_t4k$ZX=yHXX&*8iFvUz
zwJf$IY+FLud~1^e`OEwU?^e<9fLn=pN|BuB|9SMt64*0}<Ygu)?hCpzhn*eCfA1i1
zyz7bbP!cP#AcXaJqOx`##=3Jj2<Upp-x=uVZq9-P4ZM}QD@ZFev7+20+lg+JXZT-C
zhvK@N%VT0~*TmV8=2~Gpv)USNgO@ba+;M#z4jn$<OP9pCB%j8WA*NY0LIu8w<Ua{1
z{?{cI-fSpf1Um`@Mxg1tU`h1To=EQkPPKJpl1#G@qf|jdBu^2Yw+08)?e=aUhvB0w
z)Pi~N5j^z^o*@@;@4u^;Mt<`=glRfQC%ptXf9{Wz@?qaG8~|WF>t;F2;4h(r05@<=
zBqDK@!>cYuDh2x66x!qz%gy$@j6=B97XSMvr)&NGlgl6xvD7}8_;mt2p5!F(W5OZM
z;PQaVP4YqzyCyM`bXn1yCX%oK#Kv>3r}$nrP189%!*+<Ig5U9JCeKN}Y=%$dhQGm)
zk|)=_+Vhu0anAoImWZu;PDQ97VM<<!I$+^-9dsG3x3BF99etSw;VzO-GYvB0OnaJ`
z!w#N*Fgj0xjM^I@ugWf#Q!ybT^N5!O8T&0|#w|_>KiL5af9V14p2zrs^|UMK7NFw`
zhpM9(g@gGYy^B$R8Ai_NFwc%iFz`BVZ+}d{Mju5AC+BZ+MqQG7ZowD#?*Ks#@yTe0
zKK_lhbbzCMI){OlsY@LB%%Z!$inTySAfTRxJ?7pAJjxLr#IYBO2~#WmA>gP)v77!o
z>~H8u;59+V+5B#e$4~V);_euIeSLs#@R|EJnd43yiDvvf4W^0!INL@x$mJz5lW4my
z;Bqi<mvJQ)I}0ZA5=F+i)7QpCM#ASdA6(zAZ%t+<`sVhK%e9Kd_-LasF0jnBJx_8^
z@|KvKJwRs1U?h{{Q5A&R+Dy|BF>BTi@cZ$U`?hgy2nK0i&jm<zI3;H|@}CMt@unUg
z9s+J)xVyXX#^z?L%cf7O`^6!OO<2aH$&D3s0_$yke}@Z}%5dlE+!K`C%Z1+lF||{K
zd11+i80cY?zQv02q*7uwo;4*eBMUz(&zqc*cX5p9C?&l-bh2F=6pSfXC)D(%QhE7{
z+K!D5R>#fqtwJUH-eUC{HU%Z)f)&ibIf;Z}S)u=AueOIigezBJ0xg;g^}BOyZ7Nlf
zH7`TBJzse0?Onz@8D2s|Y>O(_IZzz{wzT{7DzC1N3?QbSoURw|BMXvzW{=VzWp`!E
z_`98Lzh54Zy>vg=Up!wGI~mKljG(^%1RWG8);=D-iQ(4x{3$wUCjhzjHR(=~WEO;}
zB+-Zir~DYGBxYp;cBu9pg{2os`7YRITFzW+YKSDt0#?;gH*;cAQZzZPSne96uGPBb
z5)#xm{4m`j!h3zRw`>DW(%e4NM+lZE=!(?0VA^}*o_;rGeT?rtcd$;uYJ0w{%((an
zwSMI~z&Q(gBar%1pr{Lo1=GGfoC`dj#~auISQ*qto3sZ=fW#&pMgA9@iwcR(3W<>c
zST!}^42R4AXxFjJ_due-9^qn`iL%z%>2G0ilCSKO+rEr_!38g)!<FATp5+9I##@7I
zghrV7l^2;4!1&v1lX7!vRwo+CMm@$gBtln$-z{e5&kCI7=4`Jnopk*yypc>V+a?*n
zCl;U~`0T=u5!GlZDG`1|zxVuxire{#JD52DefUlSk@nrWALvG{`?4}jR21+Tc-6GX
zD^hUKBn)TWA!->bR$?B*K<ADoVQrFiFS{+xgys8K#cl0q8qZ5|aJe6z0pl>u<JL|?
z12^rca#l7v6Xh(d0xgBu%H7Zc(2s{T{ur*TBDN{k=pU|QK-8Waw=5u=c<laY1M)&k
zWBR$|`^-Jz+9BO2K4CWiRAAdkk|!W`a&$yPGc+{hNisGx1YrLJz_F(a6h-5{0+)wN
zdO(8Wjo92N`8U$EEr8N9$pQGGBYSf@8*YPf^Qz&CK!3zD*eiBbTV6QW$KnVv+jOiE
zo9#;x32?Jl5RLZ+4Y9%?1Y}P=vc2K2IR=>jQl?xFdM91tow>=G<$RuC>WFlb>mcw>
zKn-Q{qVI>vfga3RqrzE3rciRKBz%G!PIdd_nQAdRJ>ZUauh3sz|JLynEIdmK=)0rl
z#V5}d_t&2$c0H*n4qN~;#VevIRapMZ6^ut(NedG&qR<w}C%)TJzTcRh`0hse9zO=n
zMLNXHVIC*YfZ$-+nft~PIQ?T<;qDs_c}c~Zk#BNx_Q?JwK4cp5Upz@Hb96fmb8EVA
zYr?emJR8};Q*@P@3mq2LMswLgo0$))Z^lIK;p95V6<f-K-*A;Hi~)v%c=LBmPaiUF
zJ(Tg#Y(Z{Izawsb$mr3NG#f8T<IP4`hZU|BAy1X}y6LG#(KSgc2qqFnJ!-37z4|<l
zVF6WeRYq;T!>3e&H_d22(h00^tVUra{9iy%0FsmMESJeiA$OG<Lqr7;a21Xm>-#}A
z_(EYK;pw|aompmBwe<{P?ZNcSP+h;J<AW|+bSq&sZn1Q<G(VT>5<2sCD=#9IXfAht
z6_vS+L`HYYWPuzEw2}GBq{eLXU~Du$2?{pluwJCgy$JcZ`5nJSmRKRAo^0`~XH<@D
zvZ88!=dcG9l}EjH7T0h_`>wn%R2y=>l#$N|TFX_pVvAUpah*iXZ|I(qvrtjUcjQ7&
zvDXxt4H*-gM9ATroMj;S0zhL|C&DLURVr)m5dHa(+P7GGf9zF(-FRs%#~{P$)mk5)
z$EJ$|z5&67ukb{&jyMpH?nYP{&LiK<-d<TM--@y7PHF=LNm)$5caaF6)+6kRuBH!6
zu^41wN`b!ew&vWlErMMv1jEso>b7OJ9w$BlF+6=3!_FB$zWkFAq6e(2Cim{)vDB-n
z^Mb{jVLp%Hwuo(R9?lV=K7F^U%&aeEp+g+u>$T89QX+wMg`l%%5*zPVE=fp$IG<L0
zifxIA151vQy=4G;c>?}1*v(hF?*XKPW&y1qEYR5C1cNs~o!j65+xC6y!mi&eb31cz
zYb(GR3g^aG;z=Cj6|&>c8!7u#W@y}Vpf!$kAe4Ro-d6cugn+pNU<Ck4RtkRDncPG@
zQpFIPg8wLO^rx^Pw(?IJE0MQ973a}K>~liP%6I`l-4-x&0}?Adshh3yj{(s#HYFwH
zoNjtdU6_5X!W&_N7TR|#5IO5SA}%d2ITx2mJ!68xDq{8d5u{5)RikU3O&^WwPs-Rl
z5C&ppJ$@pP8WV#SA(}X%hT)Y0aat5BV}b%^n`(Q6n=T%1f+^BR+&q3EiR9*Tn2M!&
zF74CL)$Dh&$M5Ts>ev*D$CY(e^19)s=3QX1P@MKhzm(D1+$kh`H{h^Z7n7@nt5VF2
zfkuj<C~WYP7lKHV^BQX6jwq_~JQXKB<Rp7i`n>a|z_dDHSF)R#8f3s`Erz5w3}NdS
zH>ERPm1l}P9|_^#@ove6t9>sPs2<VGA*;T*FVfmpMNvI<D56~`H}06cx5N0`YVt1T
zk+-HwI28kaSO~zn&7J_{Z4!WmkjY-|Clw5U=1(=ix;^JTWf6V|8q9BG13t#z1T3r6
za$<oGyM;j-uc1+{v^reRjG(Yxl!13rp|bogAtjjAvER$1&}UyWr~~w78E~P6GvI%9
zhJSe5T;`w_YRgw)fY{cfO@}J-@^lX|CH5KL^9$#t5INek)|r43x<=h5!$VUPreIg@
zR?>|jU@SPcwJx9`W`Za6%|H~y(==L`C4x^L5$lG;^y=I`J#CxQhA3dmZFtCza$X+l
zy<guskHIdt$e#7joL=6)fHbHDXq9cQU!KqB7*llX8<Ae76FomO_2Mm$(n$*)T$Vct
z+G?cA{!Q0XtyJ8poalfEcU<}Ke2QRkXWgWGTi`;yiE-O_D~;|>a}hePP2glVf{^V!
z>89t3NxkLswFr{3k)Xc7uYMbzBso(CE<er~{sgco<>)g$JCOJ#a(BnGq^;sLVjqjF
zry^qSrts$t9xMGG!*vVH#zBc2?;ZBk5XXjUP?p%*T7g&$KwfK|+=tltQA1uo$c-%c
z`RTPSVB19t+1PO0nrR?-_vl-qmS*-pAX!X^A=Q1)FCx>ezJh?ZEoMwhiU`n{^#dwr
zVV4=$hhIZCh3FD4cDy`2R|Qn*N)?AzoY;qaiY33kQ0QyvwIXHGKGvpEis2~8x3;M_
zbw5ZOK6n%rr-&H^N@-C>KpaRq)qd^eM6A~%P`yw=^YrvzCOQPssp==@rdvKbk+K1@
zxqGhz*y#M8citt$UC)n6MZBg7BpjL5J4wRRW2Z@K<&Q1>M%v8i|9EQo`5IfEcJ1u*
zDXoi)+V(!?q%63Wx5a)nD`yasUrW`=H;cx&^EWfajTc13yREx-06$&+?DA_1A6llM
z69h7_cr14DV#n8{*@Gh^GgH^VAmXk-GZyNfv>k0JLO@Zv@O>A<+K7&@<VCY647;Vh
z>MGCX{2@OfW$bAJsyb*n<<5i$ZD>l0E8<|-Y}Ty!#dlz0Gh6j7LF4CUspf+g+w*;c
zHSGyy&8M=5n}-K)s;Z|f%nCnw>UG@T+CPaCR?_sA-8tu(Q7lsBoSV`L^s{|`b-(-S
zVT4;>2~^Bm#zU6uK}2Gt0vU_ZdQ8)iMG_u@OF2=gsP`GdleNlEB;|FCdv!vSt;HE-
zTh1?&ll_xfi&^#qiFVD`wm_H8Qp&#ZRI~c=>Cw`)aN*Zp!Xbw9NAJHq_mMEVA^kYm
z2JQ7ND}u;J7Cn_GLU*-D%e;wBTcR8-;L-w5<%(^<HR3tTi(s@hL0V8dZR&ptxKG|!
zvB8z{<-7jU=1F@xj0g#fHo)#UZy6)8qNLXoZL@A^28Y2PlfV^IIY3OVqXVhUg#w#M
zmI!hxm4zIlKP7@J`c5S~mqTZ!(Hd&=GDRp`BjTQmP}1@O0GKYFdP&%_z`SB=9}1M9
zi;Q0GR)~p|0smv8_cAK3KppPHleklNj{yFc&nur41%4zw<YqN^BO!$_Q7ED5sIn0^
ziI^g2$YXMZ2YQrntL3Tpse*t1-ygER9+stL>YA57GfD`m20vTk0`UPOP${=ze3Xe1
zvHa?LK~${CmfzLC_yJ(Pbs%AAr8N*eYu#g@1@&t?3Vq-1s7bq*=?MSVV$gdQtH6IA
z<cNrScS^?FUs*bB1{h=XYd0VA7uo^M0ikwG%xP$cJPN!q>QpivfZ=HFZF4R#y!R&;
z+*K;8H)RasXDcG}{*tZf-nx7Rpa2eFgp{gMUvgZWKM7?IW!wcm<qanult)DULY4m&
z)AI&&bPe+wVery&&4r3W@a)6hQiZ<3jJSW^%N@S|9t6-sPr|sB;Yyz~UbykG8f>-P
zyKAY?H(Iyyj|6}WaF$$Qpm}`4kBBl;8(3w6$hiGY-pL8{Am(v5O53HeBy#OHYz7nr
z_$;fd@WD^vX_>gJT)1J}#E5GU9}ov4xGJ#aKZfK(N}I6s+||IQS-AXq$ln$jN1B4w
z^*B0>o|x?SFV@vnh0mYDlQVIJ1xaikBZXN7nZqXV<)KkaLx1-Qr3Iu}sS!HvN9lM2
zdQovihdO3vc@i_ZjScdi66i{ylQZ~*4V3DZ_YGe4pxfRz2SD{KYG&zG_~$Q}8k{%@
zC@2M}9A7_(s3u#X4+4q?GdqCn9;cy_vaAOkz|kGe=nYiNxUJ$N;$2*Zr604<M9c(W
z*xwm>pR4N%G2~a~rCILj|8O#kC{qr1my;#AerW2#--lw#7l#{|U{O#VmbR__R`3=F
zYf~Ty)*z&39A-ewy10ZaQfCMRR^V;a7PTLKe4tff_4x~t=F7w!$*kARLDD2)TE4tF
z7${NZvlf=}E`enI)4ZpF!vXg@HzQYnM>7A$xWf!CTOd6!teGP`XTjtHI=VoQMTnJ<
z0xvCg=>vmm7ZFWN>1_KxoBA+e^Z7KWw4_23D^0|zJ4pQJiH;vvY8#nxE5>KC&2Pgt
z7^HmDLE{8lermlHG-HvPVE@AcMP4?^ULRvpL;#{w`*)v$EdLzw^I632&b3YdVs^Yg
zyHy~<Azp|qM!&?;2I^srC6D&`q3XliZ|i>DpLGJK``x?Q(osh<^F5?}<m3XAY0k*c
zh*b~Z$+zzov#hK{_`D=`MI*1gPgwntMmE8;#(ls6wFU%;zMv4raH%J@=;lM}GS$=>
zvI67J7LE?-HdtvGP6@`>S!m*+ggBk{g!7_NyY%tN#adrZhoOM;1gzr_m>H`E45OQG
zM{Gd=Udju5q_W{nJNskuVSK=rJuXOq`%9%B`Q#RnWX0`>GtL^CZqbSNYZj~~jsY>I
z^5>7av_?H~?_&Ic(V}B_e@eYg;AP+)OW4x0>Xq;^;tOm#LIj#1#Y&fzD*hps?TKul
z_`z+u6nN+0(|Bb$=2m{1?zPmnc^!?g-s=H-r%F&I$dP%>k$G-i+0>D#5Dh+^KB`xQ
zX;#a9V7=*(`h{pvtbs^Wv9{;+4$#@-jk&zw-TYBBdqlC}jkl9hwCo4pG$E1Djj)2D
zE5o^y@6vA2lEXVxW2O#+rdWn)2>#@X?LDd|1yni!z(d3<{|eq^asN)pep_SGj(C=1
znU~qk`lFLC)-$=yQgA7)9C6||;tTI{N33FIu{Z_yeMVu9JK}&zC{+ulNpL|rx<+KU
z`sX5V@5^rZ>hEag-;oM39kLWNe*#Au^9BNIXVGOpWMEiE6FBN6Q)i|~RgAeL^y{Ee
zS5^=hul8X-Z8Q4ionCd5CVoVRr0%nv;N9z)iut64S5jKQ4^fl%^o!bW*DjGFB5So>
zz$VOEh(*_~d0c;g1n*u8(K6ZN=<pBrozyMN&5ZNdVjfZfviozf)=P5QwcEZ4mao_A
zkdoe_tmDr#I<~7)1a}zr^O%ZfNB?SpqJyRo4a>_^G!BkH$Lgojd2xM>O`2A0*0xhi
zBO_F%6zA+dZ>T&y5uY32&sT=)Gm#`02urMk{W0$!LFkYx>Potp4(8@B4$=T!t&)*{
zK=(NkqqzzH!->^b>c{j|lh0h~TeGG)fBEU0!bq(4)(`V`Tm59P;46)+0cIq~1b2Xu
z_dh&!^T))>VwzNtnv+KtqDfKcoR;)g4$3KtN5KpMN-fUnmi(=k$F2kGC#9prxCSat
zujh+yyi7<$CXU5@!YdR6qN+#*_~r=(_6PCjHU+yLvUeiljih?NKCd}x`pirl8>1Cj
zR3_KSOx;)rS^WY3FjzlRC7-jn$We3Gy<K39=GFSUQl!^BuIGr(x8z|?ij&Cj_B~<w
zYLdX<xCLSv+4X?uAv(q3EOEu--tuU_2wZeBvxe)@PXnNZc$XC5L@ACZL@*ZLR6d@$
zuWx8C@JQUiSt*g&UUmUT<U{gP=VQ2~bKqO#MN<~(4JrE5w%W$~t~NiFPoC0A;_Tms
za;nu@&ip9nA+%6X2@Ei_3rMD&GICW-3!;>vx|-8J$4-i=Q+dEIg@uvlP}{`<<2V2<
z+$XiuwMg4IvQrvJuME}JsDOt?tV~fvb^-SJJZ_-H)aT!S6sm8Nsp=s~w4Tce(0x6G
zeqKLBsQ+OKYajH~&lWtVS)7d>B|~`~wtRH97`6xosa^)Dh%#Oi0+&5vD{lp__sW)h
z5%D-N?Y+suEnoGY;11|;#0fs0QnuWpo<}O|wnyyUnsHYOU3JG~5{r5}%vLw-|9Y6z
zT_4;iwWkYf?@rhaIV|mWoOnpm+U40Vy`p%<5u^c`=w>ww5HH4t=UJRT&Ht9*uf<+*
zHy}aomlKaX%kWPIo}Leb`=qxh8)X%Rj|QmVO)Ua`X3XVKZOCy-c=L&9tYN^s!NIy$
z1q)Yx&~hsdIL^8m&<7F+cXPhqLRJ?#n3k0FPjTb|*K|3Un6f{S;!gSEdE;f1T-~QY
zMP8vELkZnbw0b$Tj878CDLi>qKp0o_*q2$ZKQhCjICRr1&(kL`;Uvkz^>|cSZpDPe
zW#ngVm5YAk`Y2Tlfo`iq=5YJ*Z|_BA<V^m6=*8Kaqsu>ZCErR}AUY4Q9m_EtbI<np
z^DwIJ4!+Vse|;;Bpa`;>`Z%oles@PxTr=tIKyM*cGM30iK|7v$`U*Zw4{`AqKbw|s
zVOb!9DlAS4*ax~r??pi$W8TvuT=fGHW<(I-ZVY$A9^>_3&lE@)wERIW(dDKR^{zHP
zOIvMnZR@abRopH28Q)(QgAxUX>KRm$ucxG76RD~0VD<whrW(|y%Y<EZY+V77InH75
z!n-uQv57^1ZnO}8C;!{??&^`B3?rf~0&B?%fn(lJFHUrl^lf5ea0su}gN@E7j2)em
z9P5RH>V0hjoaM<EgwZeBs^GMlI7~9D30n$u?Tn>A;=XE6k?jtAGn*Rr%#2{a?M=@=
zA${`px7YSv5|`FSHKZ$G^lx+V=+Lj<E=-s_d{WjZ6O`Q=kl1o@{)VkIbEvUNPGk6^
zT9<j*T5s78Kgfg^YDG3{+rQo*|FBJX>Qw}GZ{8j43=ja_L$-g%vF2BhXB@d;^Gzal
z@Dt=reGxXVlXXGI9>&cKMkcTH0+hify$(8nn)H$CRXt5BV`M>kL9up2C<Q>Il)!F&
z9(o;QqW<`QAM%R#cPqeY0i81c-{!*p|Kmpn|7&(~zIE{lYYQE##AdFkdhUuQ%?=Y0
zisSE}U#Wk>?yFYe#C(-hWo&?E9VWkNNPgoD&GLp?XhL(*(O@4#UYRw@kIhCkkM%se
zcGN&>fQO?agg)h+03DY4SIHPg_v85if0;;5+T7_OQf^uLjIWZwgM9ywkWu#pu9GZ;
zW0z#iS5s9)oczc=<}#Lp#v?ysO;P#Ugs2pK^a&&MKB}{lY2Ms)0`yR`Fvb5J?wgM&
zbbtmBtA0JT=jQeq=QJWYo$;4RD0|O=6<SuwCcw@>^d$`!(hW7&d3YU9{r$M`yJIX*
zOv%DJBOK))$@GSlPmPsCnR81N<joA_P1`V2nqiLvR5Q*Q)Li4}zkaS*S)a8<ySI{m
z+K#vO9hJiH?52Z(K5OcUj?g2R!K^)Zqen?2zP(?SlsKxD>v}(c!TV-_ZL?PE2BmqA
zP*r&wR>Kswv3m%MD}4KDCJcf4Q3@xC+}lK5eL9xcfyK4n4*95~**voC*6PLEBxs>y
zDd}R;&ckCfxa;6G<2IF`VqiwgLK}q)vuF9=?HKZk6a28R8aO%=mhz6u<`FrT=Jq~C
z1~<In6$fsZMBb46#4Y?}FSwUHj3SC%9H4m1jVil833kNyM3bO6D8@^4L4%sW<Bki^
zrYYmc-6H%8yRD|`4_>k{2BKanH~m@k|4ds<CB|S<tvVHOBAD#sh0G85U5nY|6Bv>0
z@^hpC8@@?oB-fCNmJh?ChTrG|-Qh{nzaZJcmrp4uDXl-IaMYMqqOviU$H7<BVDc96
z{oo64jSQFrcgwAOydW+@+y!g{*<bHJU>$#MUCMsSmHVF1cj}+hZ%>04Wc<1T+jatc
zDN}xN^OUE3op2*&Z6$`fmQuH0cv&+9+RNHRr%sLPF0pFwj3wuC+i6|{wG#@^$Vufa
zYIZOUhC=;^F+_sN51Dr-=N%Y*)3trLHzE?4IH&yz{V)?9Ev}hnNALo=P-=|H_UIM4
z9me&*TH1^I%8H<R{XGN)eI=YQp$^zaG+;ZCPf-z8i*cVav}MC5?zP@CtHDtJYH#0v
zK8&qv^b9o{TwXgL)c?RhzlUEkUP9?GI-jm(MWcvI0J~54d_p}bpA13MHry-VRFaQb
z2CK9Hr?KI<>!9y8^3B!llX8I-mVYL7sdHuEbj?y_-kBpMz`4Pihx9%2qnofI(WV!O
zPPyIkX{VQRn9%1T4lEZ(MjT8sj?gOZnXEKJcr;rzm=+8G>VE<>z!iSK<7@gyTREu0
z6@kV%?@a%FtmUt-tuN1o2VHQjf_JH~hF0@`Z&|XK+;VDaRafNV`Nj0=<F1_|3WG;<
zJ>xG2V36hAa#Y*aRZrTX2M4F7Wu+{Aupc@)C94K<W5?zk{qJvVJi827q&p}blCxL;
z)k7j1-`(9EAwn#BaiAY?HoMsWE%?%N@K!Ox=hG~)^Ev<CM}4_rdcUoMPazy6Xn&TY
z-n;%|nbNfk(H@Zx-zN}H?7w_A=UV;jqJ4pUlbgjCmMn!+6D_NJ`Oera36stp=r~pg
z81+ZeandI^{QWy^p!3%^5+@@`K@k$3s|TCr{QT*yQ86rN*w~G!Q{0mDR+k52LR%KZ
z=yWh$++Etch&!8>dFj8Ri+dEuU1btH*@hVY16b(6l1ZLPQrIX7MT%np8R?xp9}fPC
zBS&;_;-v}AGgU5}^HTg+8sf;0`Cu7pL8yDow%Bnx?!z6{b9H=m$$YsNExUwbfoZ=y
ztnPXE&Ki_~pCI$1YkYU_OYirRo76o}%lY>D<1><DyAi|Er(zY%S7fIJPUvW53pmGH
zyWO{!jpRg$EFQ%o-@37SUsuPkA(5j=OPdhvu*4fsDMywD=BRNdVu)0xUqBV7s!pXH
zUY^x?|BbRj3X~b(P~@tX%`71Fb2|Y;*bpdA6-}}E2*A-*j5nb5Mm!V@vH*7u4v<E)
z%lVf6aWU=ecTaSc4<;Woe|XhXYBagpSNXs1%7(iBq730Cl6Q?oKG=Ir_`hpWX3-2^
za!8B}eSXzF5uX2k?aMvGHlnyTe041j1Aj^ifAA;AmSJ(;ch^Wxw{#Kp;2Vy{KLPg<
zCK?zLoat3jQUU>m#h#t{Rxn=;?^&ehpR*f6rwrnNraEeavL@iyP1P#Dm5NK&Fw1ki
zDr{L5s{^*G@qfmuq$?S+w9t_klMNV>#)W>(&UwsB7#V&vWUoroVu}4F?e&3wJqy}k
z1Ns-OkYM&)zT3zyYZj;}W^O}+$j|-BNu!v2NLJ#{4_r!6L}mbXz_MVZ!vKMh>m}pL
zE1AKI*~2~KH{oBwOKXtvh#ii<=3aM^CrA}I&BPuAPoIj7VFd7=2Ep&OCs-niC<da#
zkJPy(40X0&4j)Xiet_m5h$6cXptQRWMjtMLcHGWBYD>aQek1%pGfvfcrKNZvjU9Er
znt7}0f#`S0w~E%KEI-Q6nL)T?iPX8(vuN{ILA323Ul*XHkfAR;*Y-DQ#)gmAv|L0!
z)oTcyl=GT^505|2DT|c^F0NoAtgMYJF3?$=g@H&l3blsMB1k6&-ncM8u1%T~d?|sC
zj}K;+*-Sf&Zh^6kIRU@$;+1cJxrlZeId=f{=;sv?MI6U0irQsvz8q<c<;(YIXc-Se
z9-V%1`__(|A?#}<c~_AuaualIgBsuUyzX(SuGz^#Q=t!&R{lin$NNk<<sXX#^y6&b
z8#;YYuH62HLUt&+Bw~Ob9A?1}dl(CVh=Acv01X&i3K&jMJ_+<53&b<awp*@!TIrG;
zc2)hgFKG40p7!97857MQoN?#&6?V3R*e^jL#hwV+C(!?SH<sKOOG{E;cc%c*!0NVv
z;_|4uruAM!JSSqu)qK+0$FcxIoIy&>KwJ;NA>qG3Pr~q2Mbyt_ONGbtxM(`g1tSu>
z_fI&37@@uBeynU81eZ(lC`A2r2aO$(2xR15j?hc-Abm1c<o5o0Tp_zTKTWzG!#&TM
zTl^1uLE*WGR=1UR48j80Gv*Hs{>(;mED-%?Y*Ef*lI_ui48+-=E{h;2QLgWM&-~qM
z=g&qbATRhfvA|tFE~&Q+0)nn_E1*JHq-8E%Fv6`CTVbyvAUQTVRYKx-vD`iWGa`Fh
z=Qy7&r7_1|apg(XGB&$fU|aqq^ZI&4n;Q1<f1isLw)ovn-F+@2yowWoY=5Kmf>6h!
zpFJ`R9Llmv3}6+Wa45nIz+~bZS+qO1J4n7cOm)|-zZcr^qm0TR$&+otS>Q45mN_2K
z;V+14ef`%ak23>LG)6{@Niv|xLmVBxFv*ltwNWwRjROZl&P*wp)HPp?<0cRm|7?@d
z46X9KqR(D`-~H=jj}SuuNs&x-Pt#Sk+qVzo+4p?q$BtdTO8q@dMCh84NXIQbVG~SY
z2520*agw&NCN|zg*gpLW;8ICzY4J!C7zl~+)OW<a%zwdF`Za5U>IqwlG;5sw7>X>a
zbAMMbclytG^GW^nnRL8y%pf{-H+6qto04b>iL0J1c7*1d-hEL-QI0s{BWBIN1OcCJ
z*XV6TQvmisv~0-F<!BZu;;zO^YN5b=KFPH!ic5FPRm+^ekqC}LXO_+DAA^43hfr7p
zcvwDRpQz;H=pSV!l-6JE<wS`Qkx*Su(EA>Xg${l&s^b?1&G84EPmiuJn=gd6nCC(}
zOC;R*o0!2XqyMv?H?o&p2qHr*FcfOra8k}plD<tmuzk$~m~?p+CQNZ+&b_nkb3w@=
zx`Rlh>PF3`r|_ic<EB>F)`=FpR88{9w<h#<wbwoMhdgQTWr!@s9<H?g(LCu7q|N#r
zjL-2J^Y7a0(u(B0n6+gJn=T-Vmi}OGiH>?5yO2ffhB{yR-s~&ERAHL%XVtXe9VPCJ
z$_c+AiA}@>{oYuNp~FoRv3?(#S1e4tURm#K?}046%;<qp)7mB0!tGbx=ije7o7TK(
zh}%FW>g8T`kc{NFQ)Bzpe8djtwP;6{hGCE$@?=I_Rte(B%V)ExiV#1)fEF8p*i1ch
zT52*Qh1;t{BT7&^E-*28&YzD0DhcnhVrSVRELu=i4GGcnq-{5VF+cn+-7CZN6wJ@c
zDS4&qmUUIWNBo(j%WZ{OXgh#3D)0*TTg7gt%x_}30d%EnWp&_PiekXS0WWS~j2I81
zNm+&}cD$P{b_jz^7>(Gy{$V0FxcDLlC#S5`{ueC2pSFsH5H~`_LS&D7C-oaCHr~%w
z4+GPI{87_L-c1vOnKGdnJ-qM-G(T?AG=pVyaAUt1abG7Go(RVJq;f?xk1|tRVnRCs
zv^&kRVZK8z&7H!p_g|S4Wjb&r$nYB(<FO;NH0ST|QxGRcrASeA&AIDr+1eULG~&yR
zk|4k?2r3cfcg;hIaGlJf-Fv;U8mj0{#>ZO|K83~Oe?pqb*%Jivi6up4+rBr}c!GS3
zHALOHU)j;+w&V(&Bm|g}n#w<7X^k={e-+;0fj70xg0eLEdBqM;Y5rt}XtHAJ=wccI
z$K2WCvi<<>=4I$-MiLHRzSIx<I$O)R(>I&-g-4+HCFtY6lN?wPD3#cjj*}C!HR0M2
z?$?V|ccSEVF)XQ1RC?KfZ?}p+$mb^MaQ=DZBe^25otW+JuRH61+oj0{6MC45Z0#;!
z1^)@~5;(yQ>%09QGm;vMk&QI?VJ}Bh#lGdBPo{Y*LZQoEPF&!Wd5VFZ&NQemdgg1v
zh&S#H{e;bVZygxNPtW)iQd_>~ZbD?x#6E6M9(H-UA2$aB2#MFn)o`9XoWt2ob?y1^
z=c=pzLISxd8x{1Y5M?MO*X9XC9({H@PPvxEXhIoqlF{8=jp4~NB=U{~#w0Bpt$`Uh
z=w+1*>P;R(RM5m|$D5c~?hwJS7-@MDM=2)-bn7|Eh=d)S5*__J1ALhUW6zeSSouU>
z%B|2a-6AA*=(NX?lB7Oo08Xjv*Lt<}^f5KfaR+u!*YVPytL^!xPs|Sk!R1Hd(UD=R
z^Y*CfEgVcytZ+Liyt^rPSlL-aQ*n0M^3-PEvPaC$;mkaA3T91R;B+8p&Z~dT`Nc&K
zBO)pp=FI<$FI}XmAIIsnv)ZJ6PN3A<`DL2L?Gz5PjKd2*CK<YKZ*E^Q4L^bfeOo)b
zxPQWPvfwQx+jZkw_Jj&n!nF%aL-WtDCC*yx&~lO6BW^;Xh2na&n@siZ(dle=1VUoa
z&=zW_$rps<o5zZ2a*njC{SpnGlrjr3`Cm=eht%}z5QN^%{Rv89GhT5Gq&rTRIPK4Z
zNnTyH=1Kiw(@?oYk9yA>wLAK)CwQdtoI?wB1`Qswp{stf9Z67qr94(d{j96dP+MQg
z!izk`gqvoYDc%QK)?YT4kP|~TXHDHdZ~Kv_zjpT>`dZnV!3OV`6vTEDYP7*i3#Agm
ziLSR>nIWh-M=-;s_A&SZ7b6~Cx|p1HU@wmV!{7IsbnB9)7;-)S@FkgHC^9=vlPA#^
zs@#gJbj$<MF_tlGgs~Tq7i$R`RcM9`dVh-fWzEwR<F5Tst_k|a^6-sgAkmCoSeL!d
zG)`+3n=fXuCP;QSnm7HFF>#heyXagN>Nqz}me#M4@yG3Uy~O+=6CCCCyY;t>;<YEA
zL1V2+Z8USQ_ZON`Yg!$*$>MLORkQJ{y&>6P;xsgm4b=?;RPd0mkBA_z;djfkjUSb$
zWQqh5bsOEK=QDNM!O=EL>|*^H#m)L;fe7MrpI|vy25W5d7%t^YNU0q_mbZG`IrjTe
zveVaZ$K2OdMQ$x(1yiP^$ncvjxEJNV^riV!b!{Re5;QqR45e;zB1V{RQdCo^%gSs-
zmwKBXQP}bzmYVztvty(-B`~m@Z@VOIo4+B1nDJE#IeeCA#~8u|LnF=TZk)fKi|YKk
z7`lGg5x$Qk0pi8rWey_k`u#Y>cb8ekSK_Z$RTh^)+r~z+;*2!}sph#@OTPO`VWWLF
zXC}aAj1}lsRl=n(yUp?|Cqwa1ehL1=^Wqoi);0wx!Y6i?lb(uze@v`Tlv52S;>#-|
z8g_VMbqGG5<rf}716#@uxb39#p?~%)yMzv~2zRA1E|$pmEYBTI1pY`HwDB+YT*tn=
zcnZTWCneI}*hpir{;)ihR&r9);!o5TtU}85E}$c)T@+Kb>&Uw5gC%Dq(&}_SMm!>v
z=QvA2PhrXXIF~ZrEPm%p)5kf&thb-`DRqQFH1M==dUolu^C~p>c(-frSQA-vKWaVU
z3bSWFr}MZ<u)AZk12bU%THKPiB?v!?JSQXWZ^5NjVL5$dETc&&lI+6oK>wn*6+)@c
zSWHF!^PUNw?WjLKd2LnK6S*g&QlT|uLw<=y<N4p`GMJ#Ivm^G7VNr}-_2}mgd127f
z#qgg=ckt&=JcW+uiN5?`;cHtA+3&c-Te!KSSo2%5-THd)l%8Qsd%C?)lX%L45;7ws
zcc?s@H*-U;1()$7v4YcW76;EKq>8DUs>DCu9zXEd?wUT<UwDyhT<X$RqH@<+KV>{C
z{yqJBxQ(1@Cg^K15XVB#YjlD-J{2T%l_eazxfr!V7rnhMt9bIIBii@MnDlWI+hW1>
zj?Z`~48FKkC?4onOLJ7^mt7{znlfG6BqQ8lQiTjDTh=O8jAUWK6++NzlR)Ne(|&0x
z$RBwtY0~KreeK(h&8_)rLZS=x48S(f0uB^GDgrTgyNxkF)pM{KE_AtiHY}Nx`(vLT
z>g><_;p`I2!_c=~<$BnS*W*-GXUBc}(}N#<q^j-dz=~j##x>ABA38`-TZtp)UUhj>
z3O8U0AQkM_$LyZw<S4!v)5&`%Gmu}K|0RPKI!WWmTGPlwf_m*}#!~AR@rhs)?W%DH
zK~HUPXwVidvOfoIwWhhZeL+Uy8Tij@>m>~%mvX{6nFs}lxxy8u#IZQ)HcI1aIcxRZ
zXAW%qZ%(0e@v`jH+@ysTZCPy*R$QXXMOLxB3m=|IRJWkSRN&<%BraVlEi!$w@SFcc
z@D%p>Vlgb}fQKgOiY6*_05N-kySMv?&mfEAuTJNCP#wve(rMyE@Qgj{OZJ}_Ge|(M
zYr7%QCT?d-X6X72fejr==Zk(Nw2`QFQ%mbMQ%``~;|b5QLy=lH;Ji#{haDfoBinC9
z-{6w;2lnRsnJvNe+#C8nv5iAOYf#j0Iy&{F3Z`G(IeM&V|7ZaXjl19U$?+vAhLr1%
z{I3QSCTog6LmRXV!VIwU{qaXfg<#L%$*;g|J6<81F=8eC{sj!8<NSqZK0HwoH_zrf
zj$7cZ{4lcAa2n4ft6rIS>thyW^PaT51Z&osnhgo>sM7~>_AW`@q>bHW4L{vh6gSC(
zb6TowX&I=fE^pXo8Bn%7x9pk=CV_pjMGH}l#9Rmr4%0cqZK@)mgiT85KDDYOr>sq;
z&iFZ9|D%sp^)7%K>%?Fg$!H22^mTWctXUOe*2#!AnAi@Y_QtQIEbe;<c~2E<d{ea0
z7E^bO6QuY9m+}1D2d%ZN91QV3q>X82){_~Y(ti2x-alVT)_++lj)$R;=tS!1FH1OZ
z$^5xGh&rRtdiv@D@M|p+Xn)ILt=k?ANV<+7@L!h69cT=Q-k^=s628xnc=@z)M_!lU
z`vO&_(N;+59}GSRI?_^Ph~v^YJYRt_8S|rn!W4`0Tn~*qNf+bS_EexB7{pH0lFr0l
z(~`BtPpO>|rZnufi7HyDmRsU{LR(tmQVN4a%k+!U>x1F3+M(fzPKdT2T7#5~Pnj5X
zCI7P}F*PI^y^s6gwM6Psx%cQoq5IW-88#KlZ}Z7L>~L4&v<6=iEAlb`QH9WKcUWbS
zQvy0R1mS1)R*3B)S6gwN52<=s1aLi)6<{STOEr>9HQt3TdfleQdOeA7Ua7LL_=}X5
z%2rds;p;Cuq7Ydsxy+XwUIp5$Ze9F)_m5=r=*oY~XrPSY41O8@h*TDmX8bKyM9L$_
z!!bq8djFbkkgSxl&5GD!V&}y{mk7~4RyCCq|3MeU<xwQittDQO<u)xj;`}%=u{D*v
z5{yoKNzqrwm|fmZbk&y=+I+=?9Js>lFOUtn%u+#gtcacnToUHmIZ1$Pg|06C87qHM
ze^}S}A#OCQVnBIz5ltBxWB5oi>J(%)H!}fbsUhX<&@mc!4zZiGJ|xzo{$#wj%+Lxf
zBDRq+-XzK$zWM6k9+KrJfEx{mTGayHRP-h7jDED$&KYO@I~D7oKlf=CPSFGWuV_Ml
zKgLqz`R9nfG@#5s_NudWbD+sMnF-&~FVEq0WC5KT^Wh$mn9sqbVn;sz2O{Z2c$K!R
z=4SJ~k1_tB3yEuU|78oW*EB=yA%t;Kpx(qZkMd6*+6by#!NEUQ&wN+xlI*lArzha#
zzUq#C&E?uv*#4kw=j`uCkOuRQjA<yB|BLlUbUiF%u2$U6lT3Ka;t-}}iQZgydq&12
zeN^7w37kG%QeE)fmt(PRLYIM~zPwJ<dCJ4NeWN(hmE??*NP}f!Gp@1&!>2Sdx_`i{
z3$>x7TkTBp1Gv`Gr|`7<XJ+<PTAi0G!73&0vZxS8bzbQY6DsAUyRK^(b7u|A$I3^~
zL*Bt=y$h)6%UI+a8x%3S;u2GHYskx<v!d(P?yH>BBy8JAZ!sl$lM;8)f4pRsf7veC
za!<{fv76Y5s}&OaD*{NHM2+NXXHjM8gLdb^X`s;Ml&rkiQ%H--ofx?(6`=E9kpfRq
zL1ew~bF{ZVbyc7B#99e0$a6=%(-s7cs;=5zgvvJPdFF@^XIJc|d+53&;LCyCcgTE6
z*cv7DGt<1`S<S>K69MjvO;V$}XUQd2LgH`h3g~#3=C2G-1kWix3tqX>-~{3HEOp4s
zp5HtXY@uwwEBnpc4Ru*C(ldm#-?M)e#loK`XG*7z6`8-eLN_0710uXTh2n+bIwD4%
z-)ZvMekPp=Z7`{2I!bRa-GBE?=uX?TwWbfLqhddqVq`p}y4~Gck)Dh8j_~WK!dJ|z
z*w5PU_pbGmGfPD4fe%;+b4Y*kt~IKR^z#)%L_G}0!2$Arwe}TIQGZ>#bk~4%cPgMr
zHv=Lfh=3p+N=P?IN)8Q*qNI*Wrywa^0#ef5At~K(&ky~--}~PCt-J2})}1vX3z#``
z&faJ5eV+ZCy^|6G9_Z18QaOWtjV$@>phCLER9cSqQaX%M7M^@p<Fyr~sqL$mo}9DK
z41@JFA|Kt;9}^E=XJO+p0zPM5@fm;fPMAO1M)Pjb-ZWv?nMBdvxxWCzIj1N8<;}oJ
zMobLBKMFl2nS<9LLz(<2Wu0k&k4V8aJ@`G(s5%*(Ysdmln*5S2NPbYa3FtJ-a-=8N
zJ=@l;#W&=Qn-lksp84K)PI9u<nYXwFgsOs@`wj;M19f(Yw|L~tennjpZ@2T3_T}j{
z+n%YI-|_wd<;%P{A{&3hS79Y0IX#AZc_MFd@Di1nuo6K8)%W-neGqxflLuA~^HBsy
zQj#qeRl_iWDaE(<OCyVXTeQrvdG-wE!m|cI{!E2k1!wcj4nsnQVBY`S_^nYL<JjoO
ztfONG))8lRpu2dL&n^FW@`O)0Bxv}(d_?SM^4tt0Rci7N7S}W70?cee4f<fodSL2W
zs&0^>g4H4@SvO$>)mVb0<D;I<w+ZTefVEoCnzwMl2b1i$#+%MXn-9CVClgzLT!-Fo
z<BvbDe@SrO>@P2}Es3`5i&ooNhtcvgZc76QR6{IYA<lrTIHtkW>LFU=?P~0=Z{SQ^
zI^rbZ*ue+FvgSV~kHW3)apweDPiu`?u(NJ5tDa_jVJIYbvnnag+^|?La%(Ke{k~Bj
zp7kEgSuf~WUg+VBalQX+z5rt_W#}xYsn4=0Rj41)bW0ufWm=Ei;P}p!S>|C5^hf<U
z_rO)p=^6Iy&e7Op&=AM>*YpT2*9^>%i0rh<AUJy~?Sa{V)Hky`^YPl%I5q@dx#@%Z
z_HmNCy5dF@mEo54I=D!;2Rvi57x~yTGUwuaz8(q^=XgH~r?KZj;B@#!f}~=GLiXpP
z_gm<=$G709cWAPD5@hCR4aF|pzHM`$4)g}JvU1=|Fd{VX`9O5TxH?ima8R_&2^XyB
ziY=JeSitwPd&REj=DpF<gf5rmz@>%me=clrUASy4*-|HQHt1B}0~U}=4u?-kq2cu!
zaaAibSG;!5tLxEmyb`dxxHyX{*w=Q2YloS5G^UC~sxC}Apyh;NJn<izw;^=n&7k)9
z&_2+7L!M<!%SVxUj7v^7YaSivt07_2wtvX+YX=4A=%$MSOIX1)x_XZe%z7mGj|dCk
zXnmUvpEW@2(YKFn&isK&S9f1X+g!CkM0XZ}8B)9{m(LCD%F0h!co{ygtk+10szV*e
zWK#D%^RpDHKeP5ptrWR^m|P7owCvgb9-c)9W-P9c#Cl;^&eZEGrRpG!((iD=F!pZx
z{mynQ^T-9N=ixc-LPz(Xs6$wxnb_Kk?&prK5R(Bzq;ItRo~lAX)oS*a&!#P{Y<)!X
zEnf&pn(2%%V2eqd>vz|I?Tt|rVQ?d6Wy1c#U~H3hZ~Y0~WjC052WRaGNh)tDb#0BY
z{7j&}$@Bec0lG`vy^rd0A_shE%l@QOofn*1E{1<LjwR`Vf}R>7X4^~ugC|=U5t^kG
z-^n*X%_?4T9ElMrWi6~H+N}v5H^-#jelcy2x^x|ycS90w3=xUu8HRVMjO7!JxK4P+
zBk=Hp6p;6kZ`WqMwu~G7`!Y>8>#$FXGfgEASgF(`v8K~{8p}_KQBuXOj1rFnGe6s~
zr>n|#hhwiq$x?PiHw8ZSxS4VLcusMW4Ke9!T=fz9$*ktrDHf7T)Q^Fo?|#6z#-v(s
zXT-`rlucQTK@8T{3MtkTXKhM@VQGww0n@j{zGQmK$pUpJ^i(nDGDinjVK18KU;rRH
zcj7P;e_9kobei|_Ma!!a;`nyo?$O>m*n3dK;#W<d^Wo(zlg7KpI5$ijk1?<eIRzGI
z>SuQ9b0lci6s5-U=y@|}BuoZ@mqA2O_TwY3liF9H-4i)OtC}@#{OM23HY}RgGmSYP
z?;q?joz60FAbl|p(7_cxTxO4<eXP%)1rZmcU_gS`kE^j3BXmWT;ZH%Os~;F@=8j%W
zG^96(O?qz!9M2dG&A&1XPA$HFPrT2{-i(qN_L>fGIrQ(6kgT4OP>f9z&+E$s{`y+?
z!omp$)Ihx<Png&=zDo{YJzVfk0DBbkF3t^0Tx@gNmq*LPk~)G~`O^6#58{*YnUH}%
zf7QIy&3fI?f;!Rr)Z~Y8E1EW=%rSASgv;M|)}p7D*}INb^;xei=>@~JgaPwmG4NB+
z<(xXJ<5aXj&9)R(>=~=8CcnbriW`or5%zTTW`Mz97ZE^6cqHUaxP28~!j(nw1dA$`
zD#0nLkNYhHNtyiMxQi<$T<d$I3e|jCpDw4V5F4E{Aq&&#t(ZX^n$pMPeNV?<+!!Zv
z9jl%#5;qxe3}R*BF$T<GXXU~1naM-W-&-e)0(CpXy>+`d1PXNlrYn>WTpz)6dhUE$
z@_|3|kSnM}iO;zq`*YcQ1gwCix;8ULqS*@*3t29##34yT;X%2_qqlWoYjgvTU0ev^
zTG!B=QCJI@399D$qp<~7sg-nbE$MP8_d&e+k=Zmaxv1+W5kL)^zK0|5D1l;2KFA|<
zG(M+?BGeyYTOpeZ_ed1%S2B!4?N1h)opQ2X7>tG}cVQM6f*U~li3mj2`z)T|dif6V
zpkJDiEi*ewnVlIYaH_W{4=0FPrtq{a+W{c1A-EkpN##taq|msy(#lSj=EU{jX3T9H
zzLhU-A3LY$H`q$uK92ru+{Xz=483Sz)?jGAz1+0_ff3D_>gP`qA(yuI@1z*cr4K2Z
zXKo7ZIw;(_6n32JTkv|*`Xo-5mXMs>=2oUS8LV$eLmTJfSUZC}R*s+&S`P>Pr+QAb
z?-zw+S@b5&9GS(tJiSoR3s#8Q`fJxEXmwV3`kqe12=UDOqswV&nST4;g!MfJJr%WZ
z*sd?ErpD!ZuvD<Rr{@4W)h6G(khqW(u<#BX9)tbXe>H1ziR<UFZU;6e8Vq7OR$;<m
z`H4C5zq>djuyxdUiM+uFC=>b=7Px&wUZ3{;?WH9eM3z-{4xXh6$B>*T6(Me-dR|qD
zQ;n0ptyH6xh-qd%?cfPbXfPa}i~x)9ffR#l2rD>`5a(+hzn8~1e5V7dPnEhJbB(wN
zW=dDhun)=NDWZ?azxHK!f92Lp&FxvXe+h>#s%kTzSOBHC$#iW#HOO>pHB&yo%v$$p
z`5c98lVcoW=#B=t>T`9)VHQ`yW?_CYR2|V0@5ccF94;=%prY|IbRvDqb#ePZ5U&n`
zjX_SW?Qo}J7B85#KzWKgjOjX&92qgGxiJ{E?ZZ16qM7)G*`bVt+hiUs8R8<&Ik#XM
z*$>DOQ}47h$?@ZVOv1^a@$EXm<{TohA`k;PKpspOd!SPf6_z=DutEV471nH`FLfI@
z#tGlMgA5X&A$51QG-p9dLXyB^qhCncWgbq6WwJ+10i<s76>o+(W7vW;Zo4lYh{=G(
zXHS#w8wV<&<9;>%hlk{dwEkj8M@88cnlKXFJii<!`C?&Cg@%EE-XQ|z6FMUt*z1??
z>6#JVTzzt)zyKn=F-+MLobrqYJ~j=7-_Yk{E8UV!{v0GhO9mq+0e0!L3d#GCB$6+;
znFqFCEKD{mCUiH?$1TOkl?b2+RuD`+k#T)>9&WC!5vi;#vH<rm+pEr5E+t_>rhvuR
z%ub+>==b2ISeRMO#Curk;`nsfL{Z|24VerT3({o?*IR&YdUV7MO`#K=>M%w@V=>CS
zi{_TN-6S{$mQ_1NR${*V?*Eb$Mt-wah3xf}M4T8KqfcLYaAb&QdT>TGJhfVmk(2P?
z+YozV<I+(TUTm0poe&hGgS!e}qefctP~&CfNpMwi3=v@~5-xZyoA5Ddt=l0+#y{vL
zqufny!e>T4EW2h9rFJ_e{|>YwpSHAy%z0hO`|jUcmmoErb=O3P%l+8S3P-FM0C$8W
z*GzSYx{^oc&p>$BMDd8w@~gNB&JT>oZgbqA7Mo^M^DeWF`!-`f=s5Tu&Q!%&vh`>k
zz<j{~!Y2O;5XQ%u<h(;10h8kJ(r_*97TbDi{a8nopaLspQCdd}soL%bu?4!=(7rG{
zpwF7^ZiU0ySu?kU(!G|b&yLz;TDRxhW_ORl{gX)0p8zyaKZ-2|{p$>fLJ-|>NL;Wl
zw^;|a_1mk_@AVPt%=M>Q#>(kMsk?0k*?-}8%Hvrj$zF}Y3jaz8&y>{J3eG8CoR2^t
z%0hGGaror-x@7mdW%tCHy)2nd)X-m8YyBXSb55015X}m*b+|kF0i2wAf7XK?RThlo
z0T7{?<1yT<YI|k}#b9<ZuTA8ge(%#Ym0uj|frdKq<Dg5YhT7tSVOCDg(aCUKOc<jd
z6{v)NG=nXJQ!+{buD|IR`;xzU^$Pfdh~Q^gvK7VHv#n_hsm>%xAq^|f!?QJ073{5+
zrvlwKug|0=G}+}-(-w2R*?@!`!p?y6TwP&L>|^yc?^F`sOy=jQ#c_^UNCyh}H;R|@
za}H%%cZo-blHAJ805n1JdBT7a_L}{1xXHw=w40Mh7@?CvzZGwK2vcC<+P!fHzLBh&
zRwB<(z^2QK3g8rrnreYf{uj&stq=`L-EZgBQHM?~+FccYbGmT2vmgP>7|%<F_%TDo
zz^1$z`wi`o73p^?Dyph(2deVU(I6mIklEP^&wQ{)-p*7kOvBSbo(g^LWOZ$`7c;7S
z1Sxkhg0c;RkUf<ai8Cq@A4nrA86vW!PbLkp``xkM+$KbfjF~aUIr{Rmj6G)-L%<Fl
zS(xZt2?0`<;$~@{pB2<J_6`TP+E$|1ej^~JIu{fn1_flb-FPnpL0>HoP+_BJ)D~)-
zLm0g@QPNQ<CQ{};aLkG$dq4W?r^5J-WD;G~(Lu2j_Ui=l-@lxuLAo&&KlF}kcs)3$
zWXW_PIm}J1R8b2v(4UzGs})_=SjE!htVfy?<LNo09#3cvoP;a6OipmP1+B3PKnN7N
z+p)Go;u^nrgT)U+YpC3bInWxJhf!K3%^!OR3tOwMlqyQ#RNG1PKHXA^tb7d&O{yI8
zfOwxp#HDIs+ndYKm5q&-ot>M~2gR{+8rPuyR#ddKL4(f})zyjh^!3Z1<G{6KwG`MJ
z@1Mf#$I`#uA`P%`5~wmV>rmn|8$sV#*RZmT&5#PSwJ|Kt1-s-2Sa7W`&;+E*+-H96
z3G^<js<9t*+4GSIJ>qPX@lwn*nJdeth;!BVbb`az%IWkX>~u--aTBo}J3MZ#6}uZ^
zR?RVg@WrmOm8d8Ygu(1a-e8Bd#n7XpAdrZ)f@&gjbMx>vxJGlP^gcJ}tdUCly!&A{
z*4*%;4p4$t&L+UXgL$C}|J7kO9(=g{iKQ8zR)S=Idv<qIoeEt670)Zf@Ztv=1+Lc?
zLecVEkW`8>Sb?KeXquPn>Ek9$x+O?n$ES%i!dw|iZkU0~4>R)IkUz_{-3oGeme5M5
z98>FicVyR3nNnW7%WE5^SvBjA`dCflG4B4p^+9K9bht3Cf2L;k==YwTH|p9KW5czf
z&>jT+O3rqB+J<WnZi~_peLFuGKU&qPi-?bh`JAsAw{glGx98Jg!CvESNeZ}J6HVQ@
z?Tz;RCO!5`hAbJz5qIXI4dlw<2|kLile!xRk7opdrzPs)ua(4Q*B$rObgAz3ugR}b
z-rAtrNSRC$>6%TG`A=c#mZQEAFNjuwD=KP`r#PoKZimc!T3*n9tNATF_1F^||3ye%
zTe+@&QOR>o_eY9#-MP}l+Mzjgv7i%kM+;bV&=Npr8<Z@$h82XWE^{sf*qLOpgaiaL
ztc=GvpmW^sAGdn)PQ{j&?|B%a%Aw@s=Ck`o!;^2229yfKmBAu~JP6E2lJ^|}+&do3
zUTZ%G)MMQF0LHSG67h!g#Y%F}jEnqEw=BYr@8y|Go@TEMzMS^ZegY3hR>oMuuZH68
z`Xe15dO7p^eVBn)V(1f3e2v5LZJtUura)1&$Oo;dK+co(-PU8coP6$Qa>L@UIP?86
zl_i22o7*1Zuak~?_MY1w(@96RprMR>wb9YD!a<pwoV2pHZ#@EK%x_TI3XfN%X=-ci
zwCE8HE0<ccp|gCYWPa!kE4l>&GFjLApMt}SqjkS!0{9fbFF}4siNL-@4TkTNl4+*#
zikG?O+*(V)3k9=DzqiSeQdRA^T55VZae^)<7i^Yi_>?t1A)r^c<U*YH=X2A1ve&h?
zZVWGjsN7<khghTRjc(2{$XmTmjh4uZY1W!o(-#5w@=D3N?T=wH<k{?&E6*K$20C|F
zR}_@Iq4m2KXBV<eMVsJK(Ml8sETV>x*_#$X@vl5imvz=xedvD9k-#q{T{(?|Hy0v7
zm~b~%dEd*rTKrCq2b#FwPjyB4aM`^s3#@?JfdGNB?C;{5l~0&-(?{8@RDN9(dPKQE
z^AQf$Z=l>Zv-0Bl=Md%8!?nQIDM-amCT?d~e527ydE}XOP-x*h0AK`^ot5`5CK?l=
zP*GF2d-Bl{nVXrRalFFS);35CLX@RF%Tua2W@_xhe&wNb*4vyZo~i0V!6I!1;BhyG
zyJ^JCPjhx}d@m+aY|&~Pe97&xAOOF#{i4vDSXqo%01X3r?3hRr-oJfjMjMv5LaLf7
zY@3G)w~pkGLu5Ht$``B%nGfR<RH~UY-wJjb79HR#EEmp~s<gh#$7U-e;snAw79JX~
zf@P(pGxaafA!ElHD+v+$1h+>(qduI(&Jbe%qo!V~BV1b8Vt6Y;d9npDV3_hvT^p&H
z)L%swD+d&`L=vxShfCn>$(&=0Zb^rhB^F;Ps<Y@A^IN+lM_VbmzUAPV^l4x`l6{jL
z*L%KX6M<v5Od%Z3%ZEWJP~pS!`PFX>wbRTJ27U9a=z=>|Yf6byRSc%7AJU-EPeWsT
zr%MCH1T3A%q$}Cd^78i7VJ#&+J-w*knJ5vXbX04r64c`<D?i`xaJQ@L^=9CwK$L+2
z-FqiA;Suj<l7lQRJV7|t#(bUdso~-MK`N4Laeh12H_C%vBzqP^UIp1ar1%Rh4xF3!
zD)U*km!Ak^T8MFW?lxao;^j(b67-3bn<Y8&5kz?qo-7ah-$ioJ;3R#qWi!hOvYo<e
zF~A;t&>}0Kek75a<$0Adx&<R4s!)T@_Dex7k7K9ppUEcLVOMQPI9l(vWZk*N<C-F;
zsFed=pmP7r^0{H#5(}Ul|N3QpHaUGx4?0}2^IgCGAtM7z$Iy-3zIsDgOGn3HrBbC*
z_c#!)72N1&MKN_3BYb;HzB%0~3lG&<Q9@{cnVCwBIOV5&Hu(#!n^7G;d`@Q(MLf6a
zJKTwGGEm+`yZwnVaZxN}VEIQys+4l)#bF+O_vh4Co<94<`Q^NYaR7L);_DCom>TG8
z%TxR;4?r3D?}44rFny>^u33ARpbG2dWN-m0NEqIXA!m9&IuUr|G$tYXUX{t9(y)bP
zD%or7Az)Pk35Y~AxhZ*#;}9yrEFkRQ6es)a>49|Mm}dQW9VxH;c=@KEzVZ|W23P3n
zk7&56Tbw4E{NRIj*&_IFFx*9ZPSoA4_9v94c^`Xex1Z4Q;*pN=ZG;E>ITvw8(e&r^
z^oVov5a+q^+@{4Psw`rH^*thC2U)E+UU8E3svAz_Gsz+D7ozJs)}E3LRwEe9N&NW)
z$tYQYaen@16{V*y+tB6L>7ID`EQ%?oapG_{=#;qx*nZGm65}mob)kFK>Qdn3w_dB=
z_U7Qsl4g8$IR2dO$p!sr+AA9!7>qm^LE2DZ$wxt?RE-m65QOvn-7S<-B*g{=cGddi
zN?Cf?4Sf-SR;{r6GAIG+idF@5tz$9nS&rh!8N>V52o#xOkOCLy1wj<ZV~r&Rvu>IO
zzkbkK{9J=LET6YeaRdY;xu5CvG?K&OK@>$!`S*s6R?!(uCUjE4x|%lDONlAhxwY6L
znmV;?v)OeXfEq&jdQ7+zY#@GKvHg3$0~t62PBx`x{V!jo;X+6LuhttYUpzS7MK-@|
z)I$e~0<wGHm<j3%Ufn#==)NBI26*l11`tC-$kbx;kLR{uYdJng3Y^q*KOlaw_5=K(
z9rxc)RQh=d-NkwhMsy=R;FiFv{gLPM!mcetEbCtsgBqVH+>g1V3Q!W1zgMfq*Z_Zo
z!%@6Xj%s?+lUX!<|42zwvm=9DqStyY6aqBC*#=>C`|2h)_@?Qac0+>0O}qY=asWPR
zEQm5!L|B!Tasc>s+`Zm(El|;>9Rf}eRyBV=e_zrQ_CVY%I7kjI&;;<$b&5VBWh>Q}
zfC3TC7>T@8foD-y;WR82|L+tMNFFsp31@+)9`mNdB!Mad^SXb6*^$yu<F)8^Z-`dd
z46h^!Prj<G0HFAHcpY+3RygkFr00NC6oRH*bcl)CTr;|wY%=)zn@3jgi&udNM3&Ze
zxg<!%z%;0TD}Dp`3x_ZtwSn{tr!CQI+TEf<$YKt_FgR3lA!C#4xS9!<@!y%ert%me
z*N+qsn><Q5WYfx`ZhN%C(`zTgKX#vLe9|-7NdiOe`_)Ub;{FPo$1JiTq%^?M(F>*j
zB0H}Q5Eab(qpClef`IYa-faS02=s<pj6n}YS%3&)S_saF$EVn@i@&I>w;h@X2+YF_
z+AUdd-qSw$6YL-&sDql&c26d3ibD6SUb)NiI*W*dL@m<!Qw~qYxh5q1Dm4@CQgC!f
zLA}4U1ec|nu5ShjdcPSkjMhUcI*Pc_dcKR{&T@1VRT{D>Z5OfUtHd)qV+<p12a>Td
zP=c&1Ft6k7URv|aj%;Z%zzh{SgMPy&sM{hSKtg{kgB@fVRcT!QNZ~WcfS_jo)Si14
za~W!x;TQe*lFvx;Jl%79&tE<mfzQJaS3j5A8=#jh`OH480Cn<4mXK($P#s1A)r@i{
zBdWxL#hp{PJyX0sc0H!_S1bJ^?7f%L#H@hti*#no%1NsHs`nx}+2!MrQjK&Vik5bA
zpUfEzQP&>QA%n7Mv!T>H>BsezY>9xh6ZDGrW|VC4$NU<Ce@PLA;FgOXClgy3$mFTn
z>fW3Ye*rrbXjI{v*R9D4YZ?l<aZ2RcR)wp7eWN#GOfo8EDAG+$i$Qly>)D)4|C;!l
z22<1agFx3YndqilzAG-Z!6M7kvhZlOm~!ilif{Ie&sT|NzKnH>-4Dsa`5lc7@fs2-
z9Y!KG4h2FDg8JTr_4~L9`<|2Hly}!$J~Lm!t_t86A&gj*%zsk;n%Sm~y3O5tfeVD*
z+p80u;11B-Q%gnzQ=K`%{H&JEoO?xun<xi^TXz65Ms!CFzSbhb0C72tl8|e#v__DG
z2FazUico<$hE{6`sJGM8*OMK2I{gAmlNG`!zFYGab%%GL+oY<1V(u(u@sw<j!)Nk8
ze_ToarFf~zuXe1KAvI;aCa*pzx1Kv53zno-j-7|ZXI>6ki53U3(%@NL0f5kjfz-Dg
zSErUaN|xXNvS}>b{xk-ztLrd=B}d{c>D)p7A5&Vyv~Ii=BW)=Jmn`$VhL_N64)8pn
z3H7x=P@hg7u2f_RYfSxJG|Jc_($-*0NgAT6Ffzm7-G<7%HVA;v2P_7<l_Ga!)2eLs
zAZm4Y+I+lbZSlX)=P|!>=Lhz0>+5&YciF#*pW>Z;;op8McXQ@vQVpaRysOV2WEYMF
z$CLFv-~J;aN<f+rq)ds#3~G;aY?MfIyDpD10z!kZuVgX0vLmKz&A=Q3GqAmqP4XXO
zk@G7viv_ddJG=+V=i6=c11qJyju_4TkpZNBU^E1vUS#%@*a_BdGXb}_e}?xRHLCK?
z&kX9=im;zUVQNo@bV(cDH_>dc*_M>K%!7)aYbjZhMMK#G0-}6o`saaQD~B4OuXr%X
zPpk4{8Ek!$s+}ANNUI83$(9Mg=j9I#tv-d>iT{27i3eJkAU7WVt7SXR@uvqK&&|uG
z$iQF=7Z)M6Qg@{~TcQE#)#F)iJF0&lrqWL?iSWl<(Jsk}g;68zZXs*RmyvQs^OmVG
z-d;_A6mOft0LAKBMjjSD+G$S`5KWvc?FLIx-N(fan^XXYf=}1mU*^c`poV?rwYv^6
z9fzN1+;93P5+ERo)Ri`lJA*MAC3};fcN@{UGc-Q5;@*DCrd*Nr%)>0`HI}BiJ@y?f
z`J>h#X!bp6d2n#7<|(F_b+o-M4=~}i?LWzH7Kq#9j*M6n?WZvR8`yxB0g8DKjN(9!
zYW!YXpU5uhNottDCiQ*qZ<9Y?`0iu(YI>k7Yo`EG+OE(;<eVm#n;Kj{@@uVhWCLbY
z)g3?}Qc)FQ*p15Q3RKp%%u>%&q$0*m{?TP%6tWZej{yM2vRK|%E@>}KKD~tU{8r6T
zVGHYnhwcn{1KOs>lYZ;D)3Nt*_=7aef6Oa~;~9S#5`)>@7<yh6N7oqa!6(=vDn02b
zSQ@wQ8T14m_7#02oJbxU9Gi5%meIwgSh;~S{Z2hZ%b6)ckT>DKlvr=%?QVi>jE)6y
z6YVw!Lw~rq!9$nFt|~5*ep<B8c0?Z{8?^|)T$T$AYz%?Vz)GR6rdIdl{3-1jMaJ~L
zVc;z(k&*;%c`}XY#}{};m0&+sn&yL3zOv(YG5S)|NBM+0BDIXrKU4OokN9_bmwj-3
zZ`Fuyq_>(bGXpW9p{y5e0h5giHYz-9uwfDpI4Tu{%v{@BON=I7ccBCL#N*g<t2~f1
zF*gh*617bQ3GJpV!9~vn$d#2cKy0U$v%8@=IY3X|Pme}QTk=mCiN87UO#Q$hwU6Bg
zWJ9U5_2SXMlJzI}vGxxzpEVtouLU5<>Z?g@7z_g3tnc4MHR5{B?C-9zxavx1m}f19
zA+#Q<WOs*ybpx?xN{&IZ$}dc7X3<!`W#+w}y}A8L9hg>NcpLC)H*zb{z(7Ui?u_f=
z-VAqC67)Z7EyGKz%<|oUBPYZ$pPd0_6WHaeBy#TFV0&uRm7%c`ESKZ_1xy)of_F%q
z6B!LH9%P?Y_A$Acuz$Bs*g*1W>XzoiSSE`NCn?TdWr3U<@Nq)#l6QfC@^x~+gnr@G
z46&+UaMqAfxe>Pog0tuf!H*|WM!c)N7S`(PR_nl`O^&@#@zn+lF)dNN8Za@Je~iH5
z@2iX*UtLh`yTslt$za&wgR%Lpr8mt9OS`-ta-^RmqZ6!b5)@L&G)xCi<Q<tQ2snmW
z=nkWp^MXqlj2$N4tTTZN3HLKNlvxtnI8?NiA^i{gs`eQ)rhxIbQGV*LwcZo+?vv?{
z6rr37Ncl34yl>M+?j{A<OOL_Lkh|vHK&OT8hye`}>$sC2w!j3SI&i37&<l?I(300i
z%T6|yPw)6CPjLhwjKEfiyo4{t)b;<DpLw*&ubftdUD#C<1*Y+P$5v)ycA+2&>}sjO
zM6;{?BM~5O?hEAOde8wDprhr{P*qNjBbLR(A?7G|(zLy_;Fmk724;LDy;k-yn@{NQ
zu_bI%M=U0YG)P1|9N|xc|9!kx%1>8*t>q&mB86N0rX3>h4m^R&ExR#?>N@J~n5e`<
z18usZ$6q%iJq1@88nV2pnz(IX&so#*+Qv)EN++Wv@`y?wOPItFSjynAbVU4b1FQpF
zKG=f}*n$<8gSnA8jV$F0>>R-XFdbCLbpmq`qV{vysT6Jl*{ZPUp(+qd9o%ORYycJ0
zXG<M;*0upldGP0(iM|mELfqW_+h+pNTz8=J>c4z|kDOlm=NT5Fo`VnmOC(0A-qfh0
z>7GBBsJ9D}YDRR*8FdEs9n0_Vh+fU*QGT^NNDIt9FuUF;*n@-S%(UjBy=Ft2oX{N9
zNO6z16e*0YBM;977|nl~n{7<%d3k4&x_ADpRSgj(lrAquo6XTMQj9C{rQEQgfJ5)P
z-FoBuZ&wyq4rN^%>zkM#K~v{;oIn+a>FQRFmbeC`p}#=wM<+h6(ls7u2~QS1$_ur>
zM?v5KsEp&fqk#=@C4BF&#152AaDhhI`&+{Rl|JP*le@MNMs!wtzjAg8@UJTObaCfP
z9ccP5xK+J41vk>06ZlWu0IeE9+Wve>c>W;4QGkX-I4PM4_aWeuBf2U4GyfcMAx{v+
zubkZZD_yP*c(c@+qpq_x9NyVxbBbv4#NiDE^+{BNN8XrxdiQ{$Ed~SQ?lWPk!*?wz
zG)QwBkPyNv>-ny6<)+#EeEX6<7~pc_*XaSyFZK-$@E^}o{|1A=7YNoe+0h#}M-DF;
zK~WR%I5T+soD8opa4B^*<kWp#Rd(Gq6~G{$W56Juz&F{}zoQ`Hke8oklY|{6Ez`20
zm(kMpn%IM0$*}S0Xe%L+Ipk7mFSad8g({W?_uPL<h+715Z;@?(P4wH}F_}_Rrfw!+
z=j;tIHWQtyAp+lK#y{jXOC?(j0|vU(0Z+45vv{lB@pq{|4ea)5!dwN9@9nZ=nqHHL
zkf01Kp|?rBCeLI)7x0)98bV<Fzxz|LipNeJ-lTtZd!;eHl-m+88zHp@9@Wvh>#2Zp
zsANon3hG*ll??z_T6*P?_XIA;iLoga@NLoxVL~Gm_*mdFz}~5_IeHY$d}wQv9w(3Q
zzx%muOzz7!3Z0%$%NWnQ6`=oW5g=Go8vyL>nm#6Qmota(wig{Y$b^aYjpDa6|2R?y
ziOS|fZq?IFk~nmmG>1VwO>r#Re)&ckg^dh*)y97xq683s^*c!OO@>FeYg?xqPig$|
zfum#Ht&@XXIEdGd)IZ9&)1q{jq=Q+V0$)Tz|L9Ju&~3nW71jCv8V6$@+^;^ct;Z$L
ztuv=&Mh@vFx`}UtXfRJtpQtbxIv-_K6wepc|9%zK_&J9MP=LeTVCsBzsRy1lPPETg
zk;%CR1~u3KF95RnV4kX3`AVC*#Lx1?b?zuBs5aZp7H;-KJk_&08@AtShq-&w`R@~G
z%I<*lxy4*sAPjPBV&2=W6S+9tADYbpx{x?%^dhYaeMG;SSeRbIfGgZhZLywl8yLFR
zUtJtq{ZFE3<F(dozSzP^39)(IUMu#^cKye@gGgf=Gg}mM0mUdC1ZKDTtbYJ&-fWI!
znr-ZeL{1_===8)MnEq^%qVDW#K*%98XA#-WnWUzst7|60z<ArWZiKsG^*1$yz8pbB
zd{xsr`AaRo@-6fD54Sb7Ft_;V@6?r0g2;kuKkAdzl$pKapOB)ty8~a?joFWfD9?q5
z0)*227r&z1urkg4iFg`r_mo@PaW|N_<~MkX>e^*-9}mm?H){IXa!lkk4lI`M4C@OI
zCqu~^kE5a;@r{D1AaK<uXKyg;r%ppgN#dDIRwp%pyhDIX2{E*m09S-~je3;W+*(ia
z`on2e35%?T4=p}v6%U20F#daR>?6lxmsUhu_=7<Sm=q)TgTgA*050XMUhVfP#vx!w
z@wjPcMNJl{92;d91}d6gkN8>(iK3E?7bc3{4Q@cCs-(~m0jF}iM?@tf&xTOAS(v2{
zkwj;BcN>D%rT;l5L1CH4DO~JHpPrL;)2So)2ad*~Rh}5o$^jfiurwfKM)HmPy$4#<
z_zhkl=s+bXI8Fg#P%-2)8PLhcp~%&EO)5@vyLG~V3$~cRKNpP|q#2&wyzL0|K|H@-
zEE$kFSqKa&hfEaXZQ=4zj0R5zO)WLjtl)$PTE-E;8)r;1YOv_yT{mN{2xu`8QZ*pB
zVZwavl%d*zxdO$ZIjD#<^p*g+rO8s1f2PLG4-bvsG4QSCk~Wx2y5{w2%X9uJTm2bs
z6?9FzeFVXFo6Z35dcIffqXE-uC+|1EnxjW7#*9d5<FD>;^(}#$v|1)YNUYnTdIMC?
zdOU5FiOiT22&gohT0;hU1w~`ulLi|fG;Hkxwf1UVE_;^WenZKy%)WKSuDT#_O_0<s
zFpf^u7XEUbPBk=`nZ0!B7(nT3V0$UCA(@s|RG>Wy&>jH9@R*6;jRgt|LWbHUr<|Nd
z{?kXn;lCQpTytFa%JMoK!zRHKKoR-J6D;r%H*g`L*m=<Ur}oJ+-LD3*@f|v@tS=XJ
zxjcE;uSNN#<NqkAfrT@Dn9_~KGGB6?+sIJTEqz00L<pfuu-E7S&3P(Ig7H?!0z5%D
zI4t={gB&oe_N;$49P_0{7w=PjfJEBTix%fwn1~Vm{;und0^$4O46-!rWC}_h5{lY0
zu}6UY@mtXc=eyq#OW(NPD7OEc``(3YGjV##xs$^Pe%-qM?$#}pj3=4zD}ftncZ~bH
zv>FB5#!T=8rE6d&?%)X+R^SsnV$mhyw|qyF`i*{iuZ7;76{#dZ>j-X+NzRKBykzdn
zry``xy*X?#pz}dR2Q&54bY5pB3ny><6URi-qhnU-qlFRQ#}1t6wFBd*qjkT`^8^Pt
z&>FB@%u9m=C`iZL$O(Rc69QOpK*DB2mT-h8!4qcyDd<7zt!;w-Pn3c9U?vy~C?K{6
zfl%sp<#n1haS`9_faaL|Ku|*kU@`gT{4^6@{ac*?4PV#=Q%^UguP<T8BUOEgs}v36
zh{kP=8qXN9Gas{i#c}dhBVtO&CMzgSPULFc$#F06lMv283m-U4gg&1yyTz~;dvsIy
zdAP@of^`c5UQ<sNd+<!zQ_DO4hK2!vu7wPK>dB~fH=2AsT9H?}ATf@yAp7P<t<~Yw
zs-aJD+pR`v#wXfSFN>ck8nRT}vQ`yPZja-qUZO6U5^f2U{n(15xeh3x=A2A_Bu@_{
zujLp;Lq>C(LntYENK#E(+mmJUmf9;Lz$@ggz`?`=dl+mm)Xmx3>H4If66imdxZY}I
z$o;9)^oje&KGjq0nES(%vXsUwC<aav6c_nlz1k{)ztyfj0*esZeE!bRXEac*023;J
z2Zy_E?(FdAVl(=XOkW(7qoNSYoC&yZO{K<~l4!(}VW5I@9(d-zDZ3r}TARA_!(!BZ
z<454r5Og<@yURU#3W1H3Z>8o%_mF-q8T^A;1KJj&d!L_mS?8Ft)8VguYoEDsFLCN!
z)zMsekc#8S%e%vh0dW*VpRs&LtB!s$#JX)$YgU~S&;XER>}By4Tn+0R?euaK6%Ysj
z9n6VAYE622toj})%#Px2oEftbIo*oE?g#*R9y&U0fDM7k7raD<I%$0=1oBNiqC_RF
zbcPOnR$-hg_s5%A^MXazocomnOD!mkeKu+btBxLF1!1*6h@*$<&4Nd1r85m(Xp<>a
zvwNh{g%eN!K+P5Pg`Gl95QyeyDdraweQm9}(uLugUm(D2pxthy-Jbj8vA;YJUNu;~
zH#FK}88PXQpxS%4>i$`w!k;%@WXWupMJJXFXlRg=yf~UaYV$v9Gq@N8`9_wp>|q3!
z=6q5cpshJHC*xdW{}>fV-1pm|g@eH$Jr>#q2n3#7_l4W@^$|hI-}UGfAc5XDT6rKO
z$AWywii5_dhYy~5A&)>#Oi*MwwCc8Z^p#x%Rb)$2Fv31OzyU2cIJ+gbBz=}{rGu0;
z@8ajLe<%Z5oBv$m`j^YKV3p|<!zH>raJZxZY=fiG9zU$R;)kiXa&z;O1#%i6fn4$b
z`Lac;&Y&i!%?DJj=J#=rKLbcLC-0=}?tYf2Q71w2D}4s-2Nt0)7T|yI&#`~L`2&d-
ze{L{kBW*DBm<*wpaGwFSpAJPfytK*Ljq?^A|GQVklnIIM9s2;b2098T>&?3+Sa&{N
zM~HF+QiowS1(g=OVSkq%2w<)BbHfKv<%m#ZB5uEU*vOj@OsirwC-;H2c1UY$Yd#&`
z)s}<4*ww$m3IiE`k7-|zp|-2?BGJ*a#1}KfMc#*-5KG~ohh5y;E!4lu4DkP1K&1O4
zZ19zOhl1{6(fEQLl*?(b?)cZwF%k6tDy0Tb05r^h-VF8>T(9}ppHcr!5kSAy!1{~l
zL%;pMyhP}jp?;Jk*eBLxt+_Bip)fvc;xEXUwf7I&*rnw622)#mFrW6nCQQz%rVW+F
zy?P)C{$^$%o#TR<I{)+NsJ|-a3H=;&zy6z#fPVS^;U!J?fA4hin*)|h#a8X<j?^`l
zF?opa&?bI$^1J$Gj4sKCIN)c9JhSA{OpxbXIH!P=6k+vb3~%8#QjZBI?3~=({+RvK
z^P_fkzd-O_vm?dk5Sb?@#}gFz>KzzJ$mC^0?vE(v$3{iXd<bJ`)OV-}>CaSen%{n3
zP(Wm8Xm~V`DIEgHZHvEn5LVY|vv)N!)n-?73yt<Gr7w?r=JAb>8XpnALv%MPJv%R`
z-fWzYm8o6Yo%B21sMshQFLVA5FO{Rsc0tiKGHQi(yJfmBMSp*PkuD!p(yaD(2><)s
zTwY=wS=R$__9Ic$_+8oKOH@-+Gg9L%GIe=zXzt@f2h~G6IX%6io`60o;q%MO%T8N0
zhiE7?w6vz><He<=37LHWcD5@W!p6daXecI!o0B6Ymc)D%_!brxzb9OJW{;QC+vq(e
zUiA2Gx_EtKVbQbx=*9pw-kD9ZDQK_o-<qnaq!NbN^(xt%gP+KO9Wk^Fik*ec>>fM*
zo@p>3Oh*ivesrs?s6Zs!SK)%+Ln9Q_o;>@}-949`nbsJ|UyFbWRza<lc0Cp0v;cDq
zfUFxtGzgR4V?NtAzPt@8CZn7!aLP1@)NT`=bxofUUd-`dusHcVeaa51t1%lmHehCD
zWz}cOoLlc594y%!!AsR>^Y?QLs_+<(>aj`NTDpGxm^oQ1Y&)zyl$!9_?E)+_u^J-4
zHdb1bv|sK{UFT!tVF51z`<`Ph3>_-uwpn-S=j!1xkBq$0F?tlf@<Ui}`Eb&M5$txy
zwfyoqAU%}{|IX{>Gf;V}^ow8VbCh*QnDBVsHVvm4^;Hgu=X+fCHT#c15hm<JqvzaE
zmOcgauQXhi-ucdo5+HN(QAPzH$G++phmeTKJoI9;7qWAHC8JU2r-vVrNHfjC7l>}Y
z#IFVYzi!Gapkx&mwy`G~1UiaFWoKu*KqBEz1PI!(CeGIj&^8GT#lB)Tw4?%!Mf{b)
z(6LL86t>2-Thcfa(5ipiQ6V5CoPDihG#Z@C(m{w7mb|jk_pxH}jsE+=XHNb1MNEea
z3_TA<EuFyZSf~gJyzB+2nnAyy-l?fHL0>r%jJ>_R`sLl({PL->j(bc<H?9OdV*>-|
zPfUbpDhs&#I68GwB~sPSI_u8x89ZlDCBZ!3zI{6~u*QOP4f!o0MS?Ta&Y2FCi@PJe
z6Yo;X!J?A5CZ3+0tN=v$!@{L?w`ID7QQF6otRRX@L{!_0tmbzk{?VpKT_myJ@1XG0
z+OtLe`DK|)u{7U<#|GXTUvtwW1O-tQHF}4J-t2E5odYHF9Il@F`mTusN!X#29~%=h
z2Mx*B=_sCh1h}WfprM8jxb7OzVkWi>KG!Fo!Q&4KVU8=kADYuK<?4ao4wJdul?iKq
zB7Ta`g3QC4JwGk<Keqv|g9c2w3opfVHe7!F`t{rN^swQzE*#={!x%8GrN10ptTm?T
zzU%1I#LqQUsP$0eDwIBTv7tHlYE+X!;IOw2JtddLRawOE9Ovv87Yk1KU!EUb9M;9Q
zF?bU+n2=1L43#_1M~m1W(IBksDhpgb_90}>nq-=L{0?q?I~cR^TzswbJBaZNh0@R!
zmgYH!3laD%eXj!)S>E&VV#GWa6~#ZD%r4$w__!em`vVsq(Bq3z^H@5uz~yv*=?$;&
z2vi9okv>dHgE*(@GP`jUlpBe>!%fV{>n{uS>Oi{+r@3a_V0mU$HMKdgqqsM}?W)m9
zJ-=pr+@VvpzQxXSr?Oxdw8HS&jx<)Sc9^d9g-lOD-Nkc={3z<at~=xe#axG{huhmu
zP!BAtXU`hRbqtCZ{TTsh>z3*dUfFz)za|)}P3Ta2%mG3~LcpxeOnZ(;6o$^Jmh!#I
zPfX*3S=%f}#{qXR+g%i-ennx+v#)5n=Va|i=P5DD3I4|gZmDWv2M6xZ3LK?QAJd<$
z+>vPnr5B3|iply;7OK1Fqm<0ex=KW*Jm;g@$og6rs)rc8*98H55bJ+7Pe6(&Q!ZHZ
z885T*TrX~O1kQbCAY1dQiXZEpn3;odhc-)@)5j=%#023Hm=Z+za2J<ba18^u{Gg-r
z-28l5c#CO?jql~f`O$W)f0T}q7v`2%kGHU89Nbk+xVoE{mlqY(9rGtsx&u#M1euXH
zPa)eD$Hpya_Y#5EIXdL!>njC1g>6R7L%lXo>I)33g<aml^&{xRFdIz-W`ON!Tv_4b
z;N<LQ(9|aP_4O5ar|R>9na4TVa7`_f4CQ^_Zx<${eDSE8-@<no%J-43c*M?{fz3In
z_!iLrs~M<(hOu#aBr{nbmfg~p>*F`uoyHfWG|^aF{+Fla&%VQxL86>NG*yj&nAnmJ
zaT2cXgNE`ub;}1kCx>J6a@hY|Cq>eWblA{?o&ZZhtxW}P=}_|Q9M}LAi5vFL&ZNZB
zM@%R)lUsg=j||XYsSOr`$AIr$GIZRpE)(s4TJ9e-X%C1$i+zv2`TOtn-9beWnQ&~P
zh)zNXo0Y6e(h;$e;Czw_LvmGsdWwSL;t~4xAPr6NK*Karg~4Z8V!8pi$QbX<N^Hi{
zkv7spWB>F0qrpPI5U5Q~rdn#_(?rA2@Nis6`5;9D9xHy^0K6AJ1tlda3OYJEN<iI7
zZe3ve6EqTER?=yTG=#Gan8K9zRtw-T-l#n?vz@M`M{=0~`WS!h5liE&fZw5qKP9l)
z)-i=Kh=8u#U1)qVGBQZh!Ir^#{Kg41QTujrvex^{wPHEVn{<s2rm<<abn1cfHW|?L
zLH*C9BpL&+#n)n0cr1FIU{%h}BnxT|^wy{A81LV|j}z7e`MB@jai&hE4(IL}p8y0o
zYGnc>TbYntb5Q+82A|(@XJ^YYZNT)QYiViCgwopALk>A7Cnw4!?fGhU)SF*m&+s^T
z16K^9F1#PW6GP6Z?((#59t1C71VvFgC2ehT$o%`vk)_uIh1dn<8B3F*hmON!&P*lu
z2Q)!@wX5=}ToHjMC(kE5=c6n3hxBJ1MR%aTd{g3eNrVzBb0NwSk0X837wcRJL!y=U
ziI?m0Re;^S-Ad~)17d|RrH^tR9wN2JT@G{ejF+PDcruyn3Y=$UUV{IMO0|Zl+yGhW
m&*T3!Ed3uuvj2mZT=-Ak8-!yRo>`-S$6ZA=c!9i0;Qs>342E9-

literal 72262
zcmcG$1yt4B_BITHpi+X;B`wk*xe1T7l!$b<bmyj&76cKcL%K_(yPGZD-L>hicWuu-
z_n!Ox&-;ycyx;g3V-Mx%@%LM6%{AxqJoA|Zzm}K8dO-332?+^HT1xB<64G64BqZdU
zduZUl%v?kYgJ1X^#nl{@Y)l+o^zDt2<n$eFEo~ev%?zG68{0dW*;sS2^0RU>KY8cq
zXzL)r#%A^Jzrbo^Z^}j`k1_%Nk^8n%>JCUqIQobWa<)j884@xQlC;<#Z(S3%XIwnA
zR$@<YVMmG;amLc{y7>>JaJh0z6lXlOm)R+iMx`|h<yXyc;bk}H7VA!U3%yY!*28-v
zFAVM=8)`;Plj>>N?v@*Awmpl=7r4H<A#w|S2>&6;b?DikQ(Fx4Tus<gtA-P6SBG@5
zW1`^x^%cR!5ePy0>pR>HkGFh}|N1V%`Txgn@)xk@%}0ix>k%!4r7p$FeojhyTn1yH
z?skY!OVJ_>_5!~d|E?AN&Jlij@rJtG_8pO!Q?tb7VQ|oa7Ol$DG4a%7@Ee||V{`;&
zxj%yb`udsHobuQ2gZ{6+F~o8~qW;$x9{-gW<@*;;ru93cWBN>(qr%t@b8Mgf^~ce}
zgM(s9N<zZP4AUu{W5pUfw6wI32%~@5jcpe*1^??kq~4mFnJsQlm~Wr(RXcXI8k8Vq
z+6K}g5uIIo#l@5IL(56Nw|oqIM)vVv|3jxZH}{BPMMp$jTyR(V2Ypk+()TU6l2%su
za&pJyDtyDM|9%7eKfD@nl3}7A9;qJ#5@WiIsD*`*lVQGdyIY?va{u$DgpSrUU+0gE
zHhTN5J`XC!k7fVo&!YcG!-6z~U6cH6Wz;)=`wRbX->9{a`$+Y2Vam=*+&e=?!Cbn!
z{e(pS;a0@E7wL}G6qRe({)&Sy<Y{dE)#<M?6e}IW#h#)Src(%^@BX(f)X7%!i&t76
zE8Lkpr`Fy=N;ON-`^;-Mvm_3eMDL(jEtO}bev>G=k3{#lcW#9m;1uum)T|bHCudt0
zo>1km%@(HZ8HY6{Pg3?yrpSsRzS6lKpx*J=Ychypy$<^F#ekWB2?Y&vISC3k?f$y4
z(?3_^f@4#E4t3t0m3DC8Qdgge5rVSf2<|<^4lM1fT3Iokb{cEOn7v#Gq+A=2Oy1rz
zttJC!;}@J$MY8t3jqkL<w+yaU*%HAXWQbx{i|wQTsUx1BOm_^o;Pz8%@*t@!2@&h>
z2*HyN(BF$p7Hpd=%j@df>EEgFMhWleY5%n4x|!3kBq?%%4zE3g|2p3qEm&m`IhSN6
zz!=JcQM0fl&eXUZOj@v&T1~A9-d@?1OzrHzhZ=5QWXfCV`qiGVa*Q3Hvr71jMv!*h
z(}R=|uhon5h2iTxaAornpl6TO2$9S@6i***Af-Qyp5*rq>q3p;kS!=$>ltJB+&Ip3
zF1mknOMQA~&s<Q%J2|s7ZJ{v*HdohOZtCRZl${;j<*SIx)fRkUb*^(5PGOalG1IWs
zc2n2iVf+&^D$Lq4d~-h8uGehD89|25(ovzGGaX!D&r7e%b#eeJj`k+FxIo|TI@1UV
zo-L%=cOsX5l5=_P&G2Vtse+FdY9sc9SlENM;cCU^B@J4##{rw$b_x1fpG}hKV0w;`
z>Ds(=%^B?WikLn!`1U+ml}OO_-a}^Ln?=IgrpsNnRUB{EcytQa>={oqOd_K42!F!V
z=9Eq>J@dk5xB2ka9ZymjPwDl_imj(wE%3IPT^>w}tFgzWv?Q^zFC_5fsw&F*zn&Q8
zKt7h)6P9<g6|2CTHR=dUvnZe&^xGNnFN?7Flr%Adn;84+3u*4rngs5s|Bf%Q)ERJq
zNUnQLfm5<v@WBj>xto)^t4&o{iRA<yh3Anph%9k!Z5A%mer$X!WLf%0;UYIEv)<ku
zlwM~H@P^x(80z^oFMMqALP8p!on^Ge6P9ML+J{Pw=r0<R{GjvXKQZeFy;qCb(HRpz
zOneZrdUEsgeI@#>_+HFhNXE(D`AdTp)_m?ujvDilWVOKS*6Lq9*Zb;gS$w8wk_;sK
z#QN?;zjr#AE<k_&;BGT{`(6HmRSVW%Bg4Z;pA!?O3RxH!(0#0?gb@M0+#Bn#w)zvo
z%g7j<o^JH)SvMmS6CG~_H2!3B^V!W&mdN1nu#|=d3GbX>`3ygA+=D=B^4@7jlC>L=
z#pzR?sDQ|nrCDpkcf{^&@EeRq0?PJ#bku5=XIue`Fro*dyI2&5H6<#$9U5gA7Ax|W
z-)f2z`28}@pGPfHleLMbL|;B~n3A<SF~;t&b-oWP{hb7*-g094cFfLn75=!e4YdD*
z#^KBPjEjVh(mp#~1_si~O2!d<CQD9JU7Z+-K_Tg^yUKW{aA<s7N>p@jZnHJ`i?etW
zOyo8cCL+?{@eQO!5pN3b+tXVyEv;$g4sRAv**5MWi=0Gm*}}E`>RjpQTPOv$rJA_+
zuo2;sEWC_Ih+Bmkf}%V6)I&Y3pYpI=uV6N$z@A~WJ5epqSwBbUV@Ani8AHY}!yeJB
zi%4i98?7@rE;Ie)BbzISKi4q4eidm|G~;(aQmriabH%KC;y_x*f-N5sAGAEIEo2V)
zdr1kh&q9mjm(QOY1F$Uk9oLai(6O<#*H)r+?_HlypCid<MFvv1hvq1mevY3?eDS0)
zMHJn2BjZ-T?c++N7VFK<+|A*I$od#Nae%(xO8;1Pb@lts(5ppR`p!<NkCSU5Jge>Y
z375A%4s#GS5*g8sx``z-Gwqs(7Oq}QPZGzD`yC>)kS#`%^r%V@_aM<~bX2gT(NCmI
zcPprMbRd|xr7?3?JtFM;sbj=?mLOp;R=3lhyU_6P*T|%#Pkp1#yz^=?x!Z^5XHyN=
zR8ti;8PHRTY5N{A4`E7Do_rc^?oVlwIEEDvwK{=H;p+~{+gQ_NPqdnu{!n7K^o)#B
zQy42Y#k7LFJS!bt+f`4)6~xW$oUpE_XJs)$628<LjHlza!h(iH;xTZzu&A5I208Wg
zWK<Pg+-t!RF`6p3+MXy46b-~)ICejufO)l(yG#$jr~mLp(>`#w7%QZMXkuK-px!?#
zPF5o&(^mWOAQE@`2};;wE#KW{?jxNmGn5vx^j6N6BtKpk>e=bw6hnGdmeJgql$WVx
z_6$+&ocU#v#iJDOeZ3#lk3QD28JKbs+v;qMI2%OwZNn|>_<hqN<a>=caZOA8Afa2`
z=4A)BH*-a<TLoiJpFNvT3m1MuMHOK-WMT^w!T}$b&v9`i0=Fkq4btxJ^fnFGXo!t^
zxW{GG$?kRDGxy`&z}DBVk0ayaoVzXs66II>>%Prh!z;FDuiK3Au_2TAgxJa6H*T+F
zWTfTfGQc9gMn&oDO;g_N1?oa;)6@OvWTJjGczfex(HX>$zOsXR6RzF3lsu0L41?O!
z&y#?A>Q(V!#4Um;$S-_Bwr$FgWR_y+otcmcNS-QHTUT+xSuO_FIn5fSloown<F|qH
z7JWP(8=^0j66&-i7Zu2n2sF<qq<-haWwaktJAwzDj}RZLFq^r0{O^6(-AIoZ<V_Y^
zyLJi>d$~lKEO{zon>{$zMrAF{?6k#)$KW3^0%3xOn04;Q)V#dW(K_zIYoJDdSi2d~
zy&f5(xZP0je$c3U)uyYpu_JDs?}G!~f0l4bpf6H#a<%@_^jTrkTs!v>#Z}HVIKR#j
zjzzBhqyCm5NYSy+`>LE&C&IPF@!SteiG76{mdZ87$~zzG3bHiF&NywF<N2xIzCLo<
zKwn+IkxTo1S39He@$r#9NAsS3S%Xg=-vuy0Hi0j;wY5jn#%r!#2uYvR)uqk9MLLpR
zdkAaBnpY-@xyht-|C5c!Qd}XOeO=6!LK3C+xTApMbR>j$tQcx{nwXUnkLM{%e<ygt
z6|Z#v$jWnw3$qt1OT)zun*gssxrQA|Qmky*qEf<gbl}5+th*|A#t93T#Y{iKW=*2{
z6GAkBSdo@`r@5_JYC<Oy?bZ63N;Fp3b5$HxP*}LQCgP12($;Jk?%5zW1yTbMyWZ=X
zGNQ2pO}Rgs-hBD;C6+zqdcBQwAz(LGOHHkFqSQ1N;=*cX7M%q1q#C$zSg%_9IJ&kq
ze5JG9CeC-t+U#r~ME@ag7Hx6R4(omxE2iTHMr(VaqW!hl+oX6|B1WOT%%eug{K-5A
zjZanKnFmN44B)oJ)X9za2)F2*sIRXeOFpRYU08FmhYNgp@y6Ouu(q=-I9rP_A}{rK
z{x}}@I&nyHU8JgZ?n_lI5+2`iKG~h?2_v8C?CM&{61nCl=sBNI4Iylh(O<Ba2qh9X
zHz)b_4c~ISn4)5;O-Vs$#=4+c_j<G8DHD_Nc=3Yc&Ln<=NM+tZp|-AG#nkzl_l-!j
z(93<Y$c;taik|DZ*}dik=x!Z)qqfV8liZlJLc>u%TLklDa*-0h16g?kGGz8cX7^#o
zWxpTCT$|uJ&tie|Vhdr4SWZy?VQ&Px-tu_^`qgXCd#@@)C&K2v@oPA0U<M*(xR*Jf
z)?lAtJ_+$tH_`dW)^zUTj)fte#)?THtpRHNPSHJWv0Nt11dmkm_@@{A+O{Xo^R;W@
z>Y%6dr<a}m{R;qOF5O&GTJl!g4reQFPgnWM#q<37^;+T8D?)m?xLy<-!J{(Lgx+Lt
zQj5`i0}zRpvs!`rsGYsr-Oc`Ui?h((ESFv3XmZmhdd-$RAZPdtx$RuC$6zjP@;(x&
zXkYMmR=&xNWKiHV?I-(DTB=@Vj&E`};$1p2EVjn8POntVg$RJ>R}|YF7`_mi<mrb3
zWI?c2?qzE&(S}C}28{OPt+Gj%b!z=&m|;@+)BXkagi&$VF?Z@uvgnP<h`+6G3EZJ!
z6~g=@#4#bJ%PE2=^WRnCt!nh|Dq(`-!e@`GQxq5%XV1yWdQ&EV$l<(>tqaLFM+}%P
z^I;HpWo9askN(4N_o1mJevw|3Gwc3sjxFeZ5<)UF90`}RO#s!!XqqFjvoGxMe~L;u
zUDyy>yOJ+aJiDe#l=*pLNM%A=9~!@BJdG;4i$QT%^`VAG6>iQ#@AW?8ggq*ANG*(T
zkxz%ny-Fkp`mUgLzB;&tgNzYirHDMj<0@7J^CZIUsiMe(k#`AfULFT1XWn^_MCq}I
zY*HEv*{wa4nBhr1!xEXBJ9^qzZ?aghANq>4FD7(9w2w&P)Q@6^pzCYTvda>m%0p0R
zs?V<$&X~a#`dW0l+@n3cXXr!C(Yo0h?Zj1|9}lBE<S{ImovJo5*s2b8k}P?i&^&1S
zpku%|Mah%Vb29YRkqIU`^d%9+pO};OVy3uxApnasJ3Cvi`zzz}^73@{l*HqZu4Z27
zOxJ-DrP5ZRvBQc4k1E>O-L1`D151<QAXkSAwKv-&P7aJwlWBaXb>w8)>$!J7q+tlv
znJj=RkTmP2H<~RUQC!-#)I$--2Gv^s+@&2}X72Ki&{T6pp81%eI7uk%c-xNeit1sn
znfIp8Xhd+q-L}vay-yfpLx0j$u}`Eb+#A_)im5Y8z74Q&hFhUzimCq5To%iM+2*84
z?YGtPrQ6GRQHfd~?mt3NLgU~u6g1>)=VEr^<0)mCPI18&CJamKv4v|6o0zJ4zvR^t
z-36&fwi^rVnLR(IB<CzVa^E?bOu)o`Bw+N_PZh8CW#)uY?e_U)fuJ-uyRn}M8^$o7
z4WX40;7Q(<e42@a7BXt^FSdcln{Mm6+Dkl|uPzEuY^h0KHEu=dJCn%R_l&+op9O=U
z7eYQgy9Q&iY~w0*{sqdKe6y~hzNR>~d)vqa<en&5bYT%@X)pa-b%N^*tu;zldQ(OR
z{CD-8$B^}6dR^UD7D${alajceSHGrhChmV*E0ndg!!P96JN!1dz}%(yvl=m3>^tk6
zc8yXTi$3A;TkE|t6G(k1RTFM-Y|}t6K=+%3f1Wez;zw@-japX@fNN0Zf2D|~7;2VV
zBJ1_WaO_Cn-<-p|+qaGnK+!>|(WVhD{5rH~<gtp{ZYu9X^?E1Q0D7!au41FFdAv64
z-oK|l!r-BDd>@IpU$#9x+|aV!Rl+osZX|+Wm7!AJgM}}Qna+A{YP`F`4;w&mO-Vwp
z_!p^}Z6RV@G$~9;ezo(1C`bXIme%&k_XE@$GvhS=%*7yY+U=%Hg#lbO4M}>yH!f<9
z?hch%&C>l@uUHBzZ7Z#&c!ba9eR(>{ZRYw<cBVwVZ_O884}FEG1aL)O!4JE3g(+Lu
z`9^JjmIYP%Yn#@8pHy!9IB1;z6wCVQFA=vF@18I24dafpgt3b>m6Z%{cT}BPB?QiP
zYzt$cX3@L5!?43xw>ijrqu3=GsrB_aaiw~jB4d2BcCY3+S{k*ysnx{t1uBqxtb1oA
zEb%o<lr6F91odQEqurFYR+(t_oyq@rQbpK0{?z)<AVG@M7hBDo92vn<tRk=MLM0}a
zR=xJ1Xo#OFs{sd3a~wGJbE?l-!oy6%VJ_V(f}>z!Ds-t6Z}9|F%nOf*$>d>_v0qR-
ztg4U~FDuy5p4y)ma>FuEh>)3`Iy6IqASKE>%^GE-k+2c?un$c}-(yqVv52OD-iTi=
zuhba-BW5*i9lusml6QCK;fXi-;%pLq`Dd<tM&`^(K0}pgm#i<j^>ejgL^In?wZcrn
zA)QOWli84~gNxpiY@<KaqQMOP$J<>R>s@Lx#D19}HL`2&A9ZCJuY0;eWk-I#4CcF-
zACSK5p=OR#5xWSkXdvUfnYX!?L~&3If2xzwqEx6~q5eG$0j`y5sUsy&$k0}*9|T5-
z`M0PH#1)T~iUMY~*uG?$cas2KW8BFEoz;74fZH?jf`gu>Qh0Iiry?Iqe;C%Hy=$B;
z#reav*@_ZnFI<6b1-N(*z(rU$JQ5zOpTcF*eb;>@QTL(6N&G|_Tmu?akG5ic|Ew#H
z7F=x;(fpvUyc&!7)|2`lK~Qyp{Y$p(_%n@1Clbz56b*rOPBp&%t+^~@g(5*s=kb%h
z&H-6r_wey9>2Ml7$R$tJ^PHEaYwmTV;IKpEk=T2Arajj{@}mSf1zgzF55lfue7YE;
zo7aFptHPV@S0B<(dUIS$3+*|RPgI|GOVz5UH4zX7e5WJ(x<x&p;Kqta`gQ9WnFJm_
zwx+m6b3m!6z*deS^mz1FQ0uF)4W1qCZEd1NVb-@&y`eQHW^VKfG+`~?AYk(+@de;A
z8@?9fo|S0VcO^X5;)Gf33yzv-9=OF7EAR4)JS#CL9IZCok>_H@78J@{*x*8UDVm6z
zC0qH&M>|Jh12I>gC-L2k(TYQT_Jn*$LscJt9Uhd69;8^Vb`H)Rlg0e~XsBKOH;5fv
z)9>(CV2nr87KsT2?saH~RfA*GFJ>k9L@}>)xk^iy{!~3*8TxW4!78gl-;CMDA&hs+
zM6mAA?ljg{#Om`!-P5#xI*9U8XQ_Iha8D;FxGKI*m-ipuE7O!y3CO^<nJI81LwSRy
z&!Il4)v{dJVYiL~N_o3V-RV`C(&Z93hQdEw%!Sy4?<aD@Rs^^(nYl0R9uw+|=mZtm
zo5q`X+bc}ht<7&lhVw!N)hzWNycPIpuT6Ww2opE(wb%9+^#PO^os!vPV=(+FBV)Tk
z38!A;3wYI<SEg+2Ec^-pt-aOw2Gdh`;&Wc!$ZsQ`CQ8>18c}c-Y(1{M@N|lzMXon+
z9^)6x1D=Ug?X=aNt!Q{w({Q<O+?La<pZ88~Tx#PpN$v4=_AEi%sMhS8(M+L<sNTK}
zL*jUjFwIa`cS^=aw`CgHdV(i>+OV13^7-}V?R^qs8V<TQ2U>+}4oY`V7Qc;$gEf`m
zM$VC&V~j`c9|3};APh<dI{+Y|ZwsUTYfUZet`{4WrOrF%_6{{%`pvY06l|otg=ys{
zm?9SgBDQOZE`j~J71rD$=UpNOC2BFko&;uQ8{4yWk)D?)>>g)QN!~XV<2zQj<Xc-?
z=U_EV2z<S_Ktsf1iHgupJoek1qgb__)Jt-IUnQP5ko3V!rIdjnh<W+ovW5B3?9`I+
zhn_Z;)#m{?m83nNq3j7c`X5zjYpD_EbiiXMQblpOPfbS0#8ENq7l&DjZ_|$|2#yLK
zsqmyqk_hD+)8ABl)dkzWxNm~jM@pEK!e4Z64tP^=eVv?~1W(3M68M!`QpI;85)*x=
zb{6{~gulke8!^~wyXTukef0MC2^-FE5aOAF@VO|3>wF5&=~;*O6_m$Xt7Ayv_UqM^
zo7E)H8dUO*e;DknH>Z?mf5VQ5|CMNSbVYER<bcj3C+b$Zh$)g?uw)XA5u*RvvSQ!b
z9#7=e(HGr)Z11|IWY?v=-3iSaQtw7W_@1~}a}Pmy)~+DQVN%*^%FgiYzG<A~Et2jg
zk}NXii4v*w^qIGmw*z&~Za@9a&~2l;J37&O8C}ia1-!89AGASNL5e6A%{z_onVRgp
zJmbw_;uHXNyNnk1JG_w^11WEU*}|8mN=<oz3_vI1?NyUXWji6>vPI?L5|yoQKe8xz
z#*hG=YuA9@^HFS++xM+%xb+-9>RSuROtUO_5GEx!;_+ps3^Jiz6FG+6Ap3zkB7UgD
zZ&b2ZZk=Lu4Hx%5Q|VpZ6E%+sL$kOu1+~qvGI=xBR+aj@7JbP1+~`u{CrnrS>aL)w
z%A3K3@8{bsgy|rbL%TUVjB1K%Y`Ru%(bLt1tT$B-b2}Pf;CEP^uHxV6mwWY!nvpT~
z<461M?pIxXSfe5;MXacLtGyG$BP0HqFI;xw+JN{aCB0!UM6vY)bQDxO*o(h;2RMN0
zBpK~Ly2_bvSBb{l%6%m4q0Z~uC3c6MpCh_UeF!Q09jmFuF#!V2NcO3a)M8l*)`fk_
z^2NW}J|k<-3^$csb(P2pry6kHNGYYJ9_XISU}H&3`ffb@C`PMnTt)?bOkA)8P3F)H
zsH@c0bJUm?WJwf5wx?YkLrgd{!Zgz<AppKgF|%X7n}K~-`q8d^SpQ({fy>{NMO#=P
z;7uMY)8)`Vke>7K4E}nJ(-{1SE~R;)$rl}o&uJ4CWRIce+=;q3EUc_aSxFaj%PT9o
zLtI)c_}D8SV>J5b1<xq@>q3f0$+5^!O)y)yw}q!s>Vp@g>esoe+e{sxFdJL&ndiMC
z6M%lUD)4WuE309&VKtOKOjfr)fW>fdRrWk=HwrZc=q<pJIAA2-MiVz!E`SUF^gF~3
zr~1*AwPi-~JfDtVUFAa=L;kQOCR;My_wVoPR&Z2a_BIVcD80?StzP~{XXG&U^@E!V
zpgCZ<&=M~9QAo~I%r<1gS{~8M8jR$=oOR!Fk_e{=Y*|2>-<}X4VDm!vX>UhE3c#V1
ze);ka2+x&YDJYm^e0+|H(Yjt#M{5piD8r*k$nzBq*EXxYu^m8?lef2jknHgz0;oAr
z2zGb0ITCntjjnYJc12llc@PstbHfBt1neC7Gkq9b$4SC1=6MmdNOv_T@6}5{X+E=x
z5)T?bJw5dfGSPhmv8dP6>;s`-wIHT+|8n!>N0Bv~4Tak`R|~<kL5aWz!84EC^#*ZT
zsPRIWv1^4)=Xdx~GKGB0+}Tc+{KrE=fcDd_Qo?<P43A7+klFZ@<szIU?67ANj&glR
z0uko|uQ0D<g-!bfqu6d^cBU#0W_G;-HLYWVU~7gg0Z!?enaFyacPns%!^78#ZZ;(a
zFSofocA??yh7uHr#5++M;){Mdl&5O*>eWY%c$f_Y?;h$HWP7TD^7aaL%lme%6PB!?
zr1S_TbjrM2cgm_DbbN&6We<XcTDEV54~MzEYS${?G#u!2T$1x7&NjA=DMBTpyTmqf
zdIqCL^d@p>-+!z;pUM@%*%{Z`73x{-{$yD=eeZ>;DS;uEuXroC?_UfQHh#H^iBW&(
z@?$%s_lV^k5WKPB;EmE}(+OU3r7Bm7FG*r)uRf$(bg36>jQEhHN&y!>cZJG#6kG7$
zL*U@5SM*A@&vm~lD3@y#Ts7RDGJ%NT{`m31*?Jm|l$4aw<WJ&h2N(+Ykb_ML=x?|_
zvH6me)HP+(&=i2Rbr1CllbACU<o60@jUxe|=cat1d0}8sT+Zos@YC5h4HV^e2bfUL
zdz8zf4dTM62Z4i8xQ)){O13-AOHAx{YmrbbgDcU!Fo1rxZ;aibzu@?($G|ImDt2zk
z`HqASz~K`b*Ti5SOci!mpJ`{QJKNvyk!Nl43kF<HgIApxRy@2g-dj#ekQXFnieLp!
zL%x;P?hhlgaHqPQni%`&^4M$4?I_$S*HTV7dU<NAA~mv}!>B$FdzF|X_8=mJGZwTk
z;7<!7K%=G!7i<Ebfz`8<ohGwM-Pu2g^?;}eq`|5grzE#khM2xp9;F!Q$#xr9)62W9
zY%;Q#H>q<w&f14uT3GnlcafBo==xE-X{~|&zA5vv1L&s+x>$IF(UkPC{a%wLCl|Z%
zL%@pdY#Pwb_RETEoEbFpKKQpTed^$IJwZZ;QRoc}@Y-r5gv!?NKQE|KHL#JhAc%-D
z9DlTbRD-3^F!f{}AtCZ*oV!wumUfgRYXx2}3#i>T?1O|e1jSAgK5x>+%Ypsw>sMu`
zrrtq1I9Sy=nAWbT|6W@g8vKZ%f)Ou_LMW=adF3%7rOj#F;-X>W*zTYQO|~sjPbgA(
z<W}%h%{{0cZl({8kB`uOkb6M4hw>&gMIZa1c`@HE6qe9<)_Wi6ZB6dDP967i>XK2V
z9#iFH1P4Vj;^QKY6b>sPULsE9h<YnI*~ZF7jpx~`Qp;a4-&f_I*`;6z+9}trRAGzM
z`3SbQ+on<%?N`vyn*6JvEQk+X0Zv;i&_Z5^5FDh&pL276`TWaSY(9>gNxk}rCIFMT
z`)GrU&E49`318&)oJ)<FfC9RGX*Frm-@D{bcoW~;d<R~=MR9Swh2t}}wen3>2UTx0
ze`0K@gtg0vC;&GKqMNq4iAK$J5W*Gvgob9LS~$5X=gyxEF6_TGxG3Q_6_Qu%OFp>s
zt}Tk?D&GC0o3L?D6NaQwIqm+9WWguT3*1~c?`;!E#-x5zbD%lUT7DI)VO|`a-)>j?
z@G{sb#-lHVr-dXuYt3=m^I-p|yCrCdO@}q`KM0V#RtJZhdnG*!wEZVq$mP|hUFLLu
zm01t~sl3U$qSX6V$9a2P0yIn-E=DjMx1z`ePRqu0GK+2bX(U3aLBplH`vH%oS~!4H
zIax_2H&;_r+TPa}WdMJLmrPjp#zaWIdBdq$;nlvs)DgpH#|aa@)Kz1Sl4*CV(#><2
z8;eeD)@N{-5lHu;ybLY_!qKO{HOSWGfjk2mWM_DU!CKZ0@j_)a;Nnd*M_ja6P41XL
zXa*(x9|Qw7Xr@uB#d|SNm6!zcuXE%&SrQ))!6<p2h|Nt*&oyhk^nnKVa(QWYkT>+b
zvvs%Azq?EL*vO#cBR*QBE9&OPFPt2nkU*BHkla>xD*VgZaiQEQ`EWJ9$o^;@mxN?f
zT3T9vIC}tWk;_!R)tPdQvuD#*(QQ&4)Md%JW_`8}{cv@rea2-jaKzm$GC-Nn62IX7
z)ByRHsuE0ayr`0dJW>8((9(_}&TXCPYikTR`(wlYN?384JCkN!MRA!s1~+_@XU8ne
z5x@;&%T-q(rO?d8;$}+Gk!<(|ial;=)F^{gvKrXomT%Ts#d&I9{HATY9v(C8KIelC
zcR%6(*Wze`9|RVpa_d9VMIW4jxM-@f!9Dph5)=AjuQ&~(u*n6GQyd@(krO)las30+
zp80q|e{3i#Ve8qtV3ua9@pCj<OUQHYvy@4ph<}|CT^QKsSG<M~Tt%&rO`j#rmfD>r
z`DS$-72D+E|Mxck^(I9bqMW>6K`R%#|9aQJEcYJy>9TAi0;+hfS=e3n%<n_TH9-SU
zDu1$h;lh_F;nrZhmj|$H%s*MSC1)UqLGW{M)C0}SW{u7U+P2!QUzB5JOhv5%Cc?5V
zjRX;qo+S5#<C0qSqx?T^M^UBd0kkAK|3M+>(V;0>yl0x1wIJ7aWxE;n8slAm>N2X-
zak5#Ef*bs;aL8)1X1s=7z*8&xa}4nqw`|0#^k3*W!LN`h%MVxp*IMAy3CgHXmn-FU
z5PSEkRK)NdJ8o*if3BFee~T1|aRj~V+4<ai%wP+Lf)<&Go|&+2=fSePHMuq);ZGUc
zKyUz&att88&lA|p%ZC<itR3WwT4zJMh+yNPb|53i@>v+|zGfj;pcJItBu0yxYypp7
ze9GFaQ6h8{!h+;&AfFwy-j{eUYW-?2=bzZ~Nh<l5xsbZb&y}7whLDn*tM%qeOfAuR
zIY7GZIc_*C`G)Dw`b1wlK}G+!?AmO}M=cA70?$IWPnqwdsy-WQvzI+N{oJ{e5lXq3
zppYr5iy537qa~K4T?+DFWb@zqP_*^A*EA$}3K0a}t<!Jt1;&O9Nm#&DA7T(Om$VRz
zL$eWr<W~4QTNJ)yv>8gWlv!PMsNpsZP1DrcE;y$H$IsC}_ThRsb5uJ{)xfL}6Wnu*
z*=;-5i{&M_5W}K3appg*pJ$jVv9QU@Q5;|ZCDNBWH)n;F0n?uls(Jd+1H*KC#sK}-
zqgo`-sJ#?RKhf(d#XD3p92v>B^R=7G>VXSsX`%^oEvYo6pqK_RG7vg^x2OpS4GQ>w
zWlls3JmJfzf@yhZOTOp-Az{h%AEiy1FO>EfS^39Nzq02Ev^$*;RA=Vq={G1o@9*2d
zHhyB(;3yPL=qcJU;+>-ipCr$~%12)=-c);{VtQu-381+*VPbi$-_W-EwJb-m-HZG|
zbexDH(?XH=ORl&li`16J$p#P3URu4c#GI}>+&k*;7&3e|E^vEM@(<z9sgLD*G#B2u
zoqM-2`LjP*I}qt3p?>^)8}B~NO4MiHm$#U8br&+7=1wVx-xrFFghcc6AFdM=ZS)RE
zfQ7U6EenTSw@%J~UH!rxBXkT(%wi*WVA8C^9^&FrF@;9x#Qe_-kS(j$^2BT>+zxFs
zXV(QCo>bZhxWQX{lrt3J@-fSd?4LeZ_*=H<(<$Y+W@#~zknoKelZbaRn1){m6_1)k
zmmi$h0Rb6=moT_-3r6uKHe-rSPPl-1B=hja7$y4r&u6}qQ*)9U+_o?fZ4>zT3S(Tc
z6f4c?)UsxxKRrJOv89&nENaSc!_+`S#zKz>^qnjd2epEBj>35QZqh0K#cFK&S@gAM
zMXOlxuD`BPm;6yx*sM>hxKOP8lRjU7_WVa~)GL*!g73vYeZI6Wr7QtWF6LXLf)`v6
zjTUFnJqTCAjdjqjS1zlBu&7l>%kO#_P4?!HrX1zONU+WXE$jJd9AIfxDJ6f?X8#j0
z%7L`H9qgFcW0a}Ij{FwgAG42#118<+PW0vBS|)3~85UY=T5B?sZ<0c^7-mhj8F=;B
zSX&iqIe&H$`RJD~_SI)NMX!3?=@Ke}^8G_RaO;myb!D905e5iDLeUI4Uf!nh(H@ds
zb8Gg|KyO!K$4_gnpbC0F{x?+*SE@R(9_|?yT;1u|f4SWOxF&`9(6$VzUky;0!0{V@
zx)WK|BKo>8L`-C*O3LzeVV*6K^xNNsFb`Y0P%Nz?;uzoJ=`$9+wb;Wg5B^^4OviY6
zuv4JmwWS_Egy4fmd@?PBgr&I}gUtSeB?eppmWR>7H88-+5BD9D@03?!S7rVEsQ*6*
zb9_??mo~R2-s<&NOChtjB^~u0qBug%U3`BQZ^S#Rh&#Bw6KYkGV|dvyM7FV9Rv0+W
z=JtY!=Bon;h6Q8$5d${$M_Pm>Mpz~`hS`0^0^lVH5(cNC2<drbP7;L8@n2z+qECcC
zM(Q=r+*MUGvF!SI6yedINXHa4p#hZF>y(v;{WYR%MVb|H$ydviC2GvF$-*H&e>wu2
zS696!ln9vEfYV5G`{eL8Y-_A&WpBY(7rN^*=NS?eMWExp!5x5IxAEm)N}CG#7cC~x
z`mlBO-f|CO$~jHKDm#|j>`0hCUtZ~@YH>Rj!R#pm?PEu3FP!op3ZhDJET1w`=usYl
zuA#3|96(G8<PT-%d(!`&OaCv`wRzZP!&#g6-pyr*+d&s4LKoFOs7J@%UMuOK_^#V<
zQ+sn!6OC^nNr(;c`hybaNReHwfSjMl>w9-B)`p*L#3XYSOkrA@kam!S9W1`rJxm;#
zTfCh*XaM2#y=@E+{u$_L9R?l1Ve)AxX`$CQ*?txNGOqnr2>1dy^z|ThiLDCBbUTUa
z>2=)xexGhX6gYCBdMt!#A$Ym<XK)P2d-J}aQ(-clAwyVyy#w8M6=c>dNA;PhaZyxN
z?HSJDdMPe??<W7|Y)J%Zz6IyDbtQD^@@xqQxpJr6#&Nt<i;=~H9<L3&WMpY3C%?rr
ztXcQbsG>}e+W>YQ*8nZQ5lvf-#h6hmwDYP%;#e;(f=Ie){g5EPz%D-#!>4`3qGlAQ
z4eY#8hHN_iKxetkkpo;VXzm=c=yDV0LvvT5NF5|Sz@%+y10n7R7Fi5T*3onLaCX*C
zGdqLo59&0!S(%w=KHJ;V&Q|>V{79BlC;Z{U7qq7R2@u|_nJNHeY3b;c6cy#w)fqt?
zvbib%uS55@yTBc>+E;TNx7a`cT&S%<w3?h4?p~31g&L&Ih8Ph!4lLxy>YE2L(MoF7
z37Dqzr4Fl{3@#L&UoHY5M&MN*(3&h&Z+L0(&fp}`Z)c67XFUf=Z#%cm4XE*f!j0@x
zd#m!TGk_`1I^3hxJwy49pjpp3Fnt?tj-cBGGvx5stm~P>xPl@J6=QD&Wu-Unyl``4
z1me2ckcx^5T4PrvL%qGVdd=3~R5C))kx?)G*xoL2aBv_kFJHAeUi1xE2RWYdra<P%
z_nzXMc>C2kK@o{ZZsJw0wsI|Wn`Kt$gy1?7{Yx?=S)JcO$|2n!v4p)J4D%ZhN`<*|
zM5Y@LNaL$yO)Y~z1@=8acX3FQ+M|UZyCn0wUM`DHrrSy)?6>yXv6bZm9ua!Ye$x3G
z%AJ}vb^YrDOSXJuNC`rk9gA(dNI+>uY6P;lw3L)yOF$W!fTPcQ6!gHt!-F0+zZ(zu
z6$U@AoLkce8|P_Xt-DrXgI(_il<yOU&$VPJ$1^_D?l=9GJkRxE%OzHhpxrpsR30u!
zZz|WKZ|BE9*opAUv4XyP6L}mE|MSksB60cVViIIz=B8|qb$yDqvY95e#Ki<e>aq|m
zwu?62=^+1{ZoqdMuBRw}cwVYhyX-cxRLHij9hT^~2)t1m;&VS@cdqdr$>T-d1KRQG
zglRG$gk1lnLPbVK%1BFd+#ayq%IoOdjLq&2=R_g|8$c9WC~wc!m_9b7@k&-L;sydc
zDi!E68^V%=z|!v(jrG91PPpKeOJNxGtIJ)HwP%YVmXkk&b90}4iHzJBE22D|g|Z#4
z!5Ri1iY*HiYi`SK@%Wm}nAier9`{4}@i+Y925YutWzS|n{Xgr;>1kBNBC1u;PsJFy
zNnL5N*5t|Xs9~?4(^o>WET(|`V24QvmJk5TgPm@z*fb&Af&x6a=Jt-(H6gH$=2EAE
zKoq+h*(H|1%{r~GrK*zm4R|=c+Q3;#C@LaTdLAL)zaK0c&*KY)yZJ!jRldW+!@tfe
z=5FK$hq&A>cX-E(^~vA+BvXk7?Dy#2M2Uy!WTmIa3=d<#wl#rt0IVnFQv_NL1BV*g
z`#~-0r6!6R8n4XFpY8AOBTRKaZ7a=&=x@Mg;`zjKnGOOgV}FuR50HO}`D~xuUKHKB
zE5Dbt$k1)*`rN;2v~>St_X9Qc>JJ~I4u0(y_A{?8qm7Af$BsihkR_fVsxSMww$ZRx
z0Q8cwgp#fGC_{T25XMD#1JbFF&Ab9BQTtQzWsP+qZNy*$oA+Z)=E-_bChzO9Im3&i
z*ehVMT%&_EY!&(^2x~X}FwT>fm9-p$pI%lS_D|&$2(>_WS*W;5xA5B@o#6hny)Nq8
zxBW5j4;mR8?{DT61vtm?cdQ+11CQM@+E&DPq$HYflPC&>q05du0B35d^>MGp%zz8R
zS6p&V?{)X*(c_1vkp{cJGrItK-lKqNdC^rzOa-p6MP<G)55GDiZqUJ0s}NRb9$nkd
zz-kuKqXMqrJ(q#@w+M$oM0$2Ml22`IRkWbXSRva}Ha0^bsOf4xM?G7PlzXeH%3(J6
zm5G%^2S-(lFX8#d0pYpVf<NIqOUvc4h8ri)8$k_p|0rd|9^Z?gUlC@!hpM8tQ3}s^
z-?*CdYvzh9%}-pD3DzXvPTUGs7|9zUE~Rr~sP-1s#~{>+MLQfdA86wp*(5aJcd{c>
z|8U(ZkZ+1@aJ?-eeYP#KZ-R{zCbr$+^TIydR+0tr#s&X}4!qkBr|Q+uD;c}3Dm>Fr
z(i+^yKns%yjY%c{yG%4IkPIV)puoJnmi*`*DiNpAJs`R_T8>`4qmJm*w_~S)gcDD=
z4Ohd8Gd<}1vmWrh_4eueMmnKY6(MGU$MwUM1Eh4`jIeu`)tJ=OiT?Tu%|h$))4uT5
z<=hr8kGuUel=_e=T+I<{;C7V0TAtfCnF)n9^4gx(e0pKvT-ibZ%2KeIg5dr`?HZGT
zJXOkVXUOI0u5m}06>t+B3?<)?g|y)bxa=>wFfwcP2jQkk$;qYt`0)XYbQDM_U}7PQ
z`1!lNvDu~GSP~waS>Om40PT@F#c*fEu>xDy&0)sP&CSY<%=oh|1+Qj=8I@-T_;Oc3
zZ-8Z{+NmaYOVR>saoRzA>rnbg+9A`<G}*=he3Yhb6H*87e0-()dL?&xDU$MFzYC`;
z7^d$G7d&uS1HC+<X{x|P#ITQ+N@0gn6W5Wopy+P<@EhNyb^Gl=k!F>P`{hHB;>6iM
zn%ljbqPgmwXcw)B_G5Wzy>P3Z|CwLiEk!Q*f%ixM`ht6VrUpG3CMhqE4Q#b()6iX%
z9SK5g(3xbbAMekUBYpQSn}Lqb9|)s%bDnd?^NmGpBzKr~Z#cXflHCriYgW~(>4(}H
ztfMcv>lXVI>$j&#0(C3+y9sqYnt;^wsm-8i!FKOxNFg#hT2fRLg{}UK+WTsWl9=C~
z7V&G*$qDtK^xaUTWL1y;FKIGQpE0IRjFFj>#`1shzb4?UIMsTCXbis*OMhgM?c+(=
zoOHUdoV6An-}?*tY}yeWQ~lmP;p`^`fRWPEfDIgow-OQ(yxYz!(j&2Mg4VftOzUGs
zZ1P!$aYZgO5@cw1ke^hN_Rd}P&G|hDVPs^y0<Qj*`6gdrIE*aNtl$KKB2&GWoSY-v
z#EA0`clS5L!pW^+UgarQMNOjTvpx;_hHdT$vZhhypQsF(P%n!#tq|<-D~#-dCHAmr
zGw5?oHIpA;rGcV{H5RpX|JSb0x(nNC0Oz)(aJ$`^sO2}v!kGYHJ+|S-+`^9VT|~Ou
zfDpDscnDF5im|@j-9T_Sis>BQhxg`BNzXjq+Xm7QE}W90-a$6Eh%cU~B^2D9K0VIR
zs%X}KGk6}qwz5)Yk<9Nv4{?DTfeNOo%=a8KRX{)O`kdC8uUG!S{-CR;E2~|(Z}SKB
z0~rjyN!u7Ke2a<KB~eD2oLr@*T;M*5R%3?59zXmB2;_o>!%T9FXiql7JK|&1)lxcO
zk7}|rx(`IXafSRgF9Vi#5(wznf2iR)O+q>G3xguzR?#A23-~;b)jZ)+ql$Ay;3ABd
znks-f9<PQ5Io$n(<>h&swi)Zw;|G6;3B)>@qPZN`1=d{5whUa*JpM*doSXld#D$wO
z$u${Ap;qDai~><F!KoN^RLp(S7Nd>2`^J5Mb2ad1=s6X_#0N6$(w?N61<uk_Kq$3>
z^qm$rz6Ivp-T_3ck%SOlEDmCV_N8`3b4ts?{A#?7379P+<F`+r$!?~R3`6=H9}lg2
z`7lC0U)SFIg6{Tn2fBCi&WI)>Kw(Q8P6_71U3r1t9f;4~aKy4pGVI8jOZum_`@J&I
zEZxsKNpqVHe@AiI0A@IRmiF+-B!!#Z%ZWM$GWfz+>GWh8LBj!#jIn=|fK5;!O^e8%
z(Yw_^(gmIjigN3j?jrAN3qXqKK=whB45wJ}#X-2^-{&YnI!*?u@hAu){q15a*jWz=
zG(7q&v(+R4{hhKX{{h+}H5M)hd3CpK%lSFIU9laNy_&^wMHXXp)OhN$^j90A@8l_8
z9<to}l)2-CwNNhb{XmszVN3|T4L#gTzK?KSB!=YOzO0?e@}YAcjlxI3^gM^QnrCb}
zwJ}yx<;b?{zo<^&Gd=4AX&WPXgh+<%p$mmI@H>s{m^Z67Hv#xeD!;N6C_xkJrJ*4W
z$m@+O_WOs)w+a3jggVOeBO?P<Pjh~I#}qF;sH5|8GrlMr`#+9i&8pmYU3Vpf5}K^^
z>dW^FqGe)+b^aN4RNGb7L~05)I0eD)%mm2IAMhyw<9K)tc+aXwO_ujXeW)YYw%u5%
zdHw8#D*0c@$?<P&OpIHeAg+hqzvOy*U`)?Sa{q_}Om`o4<}OAnTu&xUMZHhYJ!+3f
zHERKE`}*}Oa7Ghzn?D9V3fiTP@P;p%6}ScW0h>-|0etk0cTn@-9hGSOH(NP?k-pmQ
zOGt2AURjOAA7cqs)FDP-m-V+*)~LnbZ0^gO3RgdNka5apM2G;l1x?fjCw%O&EkxN;
zMjLOz%Z_~l-kcUGypv{q(?1`w+<b*hnXGD)0?3M7*4Wa0S0r|Q1EY&RAo!SSR1mjn
zLQbty5i_5^%p8P3L+gSujD~WNubQm1hIM#ZVLbrA!s%<m`JQV2vxn67e<bq2#M4C?
z$No!{v3Db>`vihU1_X_6!UTl?oE;LA!2JnW4nYTsK!!mJM-k!QqNX0Z*4fVDnFld)
zS#qa0Dd12}TFCaafgF*SdWbTqQ#;3kf&>X8EHbtJ<2VE4z4Ke%J4RDwGh3lnAPm3k
zP}(u;?e9Y%{|h>-_2*ku&ww*Yv~{H#<_~}c;&#~8-is_c_fUF8IgLU9klsV@i|_1c
zjDuBTT1g?D%8LIj$1HCW2Q)R6UNSNRR&@TV-+l9?6~b8uaiJ)6IOwu931E{#2p80;
z4l`39>WuIabsw<Ou3c>I^Fg$`SzI`3K@Bo<;0btMxQT1j_7i_MtL2K~Z4d#k7K?K7
z8$cETYFfl{MP@f#T@B?xoW!e9N6^jV734vjcTkiTuNz4TA&}E+Q7?nJV>B+6kZjtE
zM<aqTfTI~`fYb}PEa12av;KRNq&h72MoSAlxWzM=#<gp>9H-5K4b3Yy5Knk}@s63k
z2P;?-aSo{*V{-7)@$dqKg~}4BWSmziJU~G#5O1BjPrK^J@hXCpf#gt2Y*Oj}u}v4x
zELe?=Hy$8ZFA#?XlHi?sKzmzV?oU&A)38P2i+~Ga(874&!Qd;$>{y^1?-p({LVam9
zyS-m|!PW={0uesP&^OB$A5XwRKl!`Kar3j7HD(L@xN1cpxD`MwNN<9AF$~;vp#bGI
zyf%S9oqrH=HH!$>hcZ>x=DDqQj*R^@GKkAT&MRwD%l`<0Gi!DWi0sV3Gt!sZfE3uu
ziFgLm`xibq!fL&P8I+1|-h{Rp7&rR72L$a}HkPw)<{WwoU+ClYhQVhbX4cm9OnIbW
zLTcqbIz{t>Z8-!qmiL>`cNNtt6Mp>QY<$AR6c0Fy18{^z#>BX)+x=<hLd5B(wSDN>
zPjfEujJqBxRm8~)D2<js*n#uf!F~;hASCiKm;Kk~PZ80Yzgi8tVI2`5g?sn`ne~@l
zi&4{*;RDd4201fuLFzs@X>uBsLoM3Tr{Kap$MnrgzTp6KNA$cE5CCJFm-c_yEeV)g
z!1mH8uTflP-CWkMoVHXBBa^Ra2txcfhD;-(qWZy-CMs-jS^~qD!H7o4jMvTFz}n%y
zFQs5RLPulQdjcj5(R_db!*02g>f&glXV>c#O@1xIn_l@ZVK-t=V2i(J^57eycotdP
zth?57CjknI5Db7q4OoGyC(fTTr*G8_Y8Z{ohoRWKQ@=1$6HvW}>`rxkfb%Zk`oPPV
zb#MZ)e1wg#h1){q0N^za;GIKEVEIX4j*g7%j~n9HuF7JC5Y$OJJ7Zf{gg|z+UKkpp
zu+{E8^F_x&{?OK;d$lOydVAd_c)pC|Hvc~G<(O_+ZqV(a_YGp;>tOfxCfN#p9e#V}
z0;X5Oyl>WSd#=tabU8=ESjlv*73!&}6`!^xHS@a9bQLjNhmB>`^`Kl+W@>8jfDwZS
z@+>PhB9~OBg;kNN*!7LU?Tfa7Ow@xpcfUXfIWO39YHEDAP7AWkuI842;LAAQq^Ko!
z(A_|PeM%$E>U!rgBD`tpH&YW6o1Cb$BS!)i!ZzNlUAx+GVQQ|PFubGXhp`OOcpa3`
z$*D{>QGn*{b5!<NS;3n#9Hg_o7LolGI}c;yrsGov*_dJYESTv+{vh6MTO6=bNKK9V
zUD7~-g5r!1q2@r%T@>GHG)^9jAng9@>!i#A7ihk30@wk}D*a(P)D}U45Ca8Ryrb)%
zhhOR<K5FLJi+l&Tpjhh*LCL`I1Hce1#qCRQV0*pwcXjVW3ZX&ha6z4PL;=XGs+BF3
z>{*W@yBy`BvvYEgpFkiL+L{2xBTbci_Jc9Iu2`<M{ysAo>o;%kq@}ywzWu7CqVmex
z+6C$21k3u@`9@Z}dgY#`mCj)o11U$WY$%1$NnFx`Ib!bJ{yrE801-qK!Sk_!<bsAr
z)f%DgC#!mPgLKUA>MYVQbISyr_P+_G6Cji#+aH6pK8tuh?Ay3~ad_6yp;1=>?Cbz^
zNGAk}w7Q*%-Z`Na^juw}D1NALnxj|Z53vN8<NN_Ax0k*h`#Tf(Kv(M&@StUEaNCIc
z7|6(|jRg2`2AJoun*2Z-`;W33FrTGME5!&np#iNKj1TQvmA2~xG46Km_7sLm^874!
z>9<fAq=j75))cy}-rJcZUT}$Np)n>Z2>c|;Z>^UjyFbyYJ&KJG3b~p-pZ+Sa80TFB
zP*j;L!ZozeQyZLl|2F9OC~Q71NHR*#EVt2ZPbdL>j%I%SL(QBAsKSe&p=sjj2O!kO
zbA$P{#QTrvOU#w2Z0e2$(j>!M7Vcp`20zu{e?Q`y#CBG9b%2o~k_@5zFcfnOrdWLm
zb+51xvyg!}ln=`KlD#2I?KAe|$?(OW{I3|&#8t(qm81<hKsw83*8U@7%W>V+Sqr<=
zVGSX50s|NlNXFm?M>L>GAX%KNBp?c}5#wr9?rWtdtSBxGQ??)<0}ruQi-|Jz*egWw
z`MO0oXG=qn`Rvj|_~yjMyYpm6a|0L#DyBJclVKge&jbkY()vKl_zt#8(JX4?|KaQ^
z5@IfQ_x73r3_kQAC>MwGwks0AzRia)kwAT-+M_`WUC8x$-p@RH(18ZcFzN^vJ=AeG
z6LiGtm~=%$8u*8Ke)h0~YG$g^Z+Wr03{XXC!t4-4sxiD^TZs&CUQlpMT(q;hK)bMJ
zZl@BRxiy+wfL=mSYVFS<JExso%=vxSe+{92Pfbnm^ApRIi*FJ-6>Jnbo&G~bg%`|r
zhl{RxA9T^rdR<~+lZ`7pnK$kHtdF?<YCqSV0LyPI@;ZL`Zl*a}=Yn$9b?FpX-y9Hy
zs?U?xQmseiW@)ZeuZj13Km7KTZt3m6v-JAHLCv_MyAW8AWx?c2A0#A|$Zs1$nOrmu
z*g%wN&Si9=R+Qe|7<)e#vNJ4^0K!Z}#b-jvyPh!z0z5WL04M3L+T!D`1ib!h0)em;
zXreb4MGYOm>~mh>eF>9E@*dO1;P<TlVBDhu3gEp)n(%2D7=wJutR?B;@iP7}K8_?7
z;)3RjhPCibb+&f-7*cJUovb1*R`@8ZO<G4@*p2^uxH4B=TSZJ!9a(Y{r*yORnM$IX
zI0CG%^&0D(PHn_bvrSWl1UXt0kk0CG?VrTm=kf|bfIDyspmUh9@OU4h^TewI<Lr$)
z;=NCO?t)3AydcES=opg&G9{9mn**C091JJE*3oHi4UQBQ7ez{jVZ5-ivZ`s;*VZOS
za)!F{d>l$;r>5q8QO)IxAc!(bI&0r@Yz}@E2TD1mE3V}%)h&wbjklw_+Ap<uyuP9^
z6*6rhFAS1eGqnQ-c?Hp%q8ztnjQ)Nou4=;+N4|W%X^1p%_72V_if%$mgKn<~)y%^K
zAc(Q3U_CjxPdi}+>ZM;YWJC-)Kc|46)?w<JimECgG$Ouj1`D9=HkWC2wikg^d$GBD
z5A{yU5>P)>b=+`$;%z9Vs9<&(&y}kp2OhqQSa)HCDX5MfsIQpjKh^GD9U|Q)7JkC_
z&F#(T<5j1IPj<u=dIN7wB7)LSkJ$I0F93H0Al4_KQGF-rbtIeT(?VnnP?%pl$xtQo
z{rWBip&@iT$tj~%?$$Saw-{q~Ki>46u{OQEsoNee`IL~L<#n7#xIW4PafDkG)ye*E
zhD7^7p{=NL78kz@D37+ex%v7~78~GnD0*9?Fh*8kiBq_c+eXHil)QYsQG&+Ozgou;
z>!(g`UO>^#1-bz!z*5&Kzp8-!2V6!&Yk0wt{N|&~An|4Mbs?cES-AUlhbn3oSMsC}
z<2**0TTK|IyeS;0hl3d|PamHPAQ0kr0FEEd1J9Weke<FqM=u?ogE?3Iiz9V}@&tZh
zOgX;`!dQLSr^@esbPo&bI6Xa`-F)~Ryk@rsm~GE2igdNL+v08NyTRmq^TrT<j4XY%
zQ;$jaSF>sF+m>kM=cxGDqQFu#LKQ65AhU8laMAKOL8HC<2Y$lwuzwhiJaP9lyn>U-
zlt;R}2RigHVs8NIzGeWN<$UF29Sh;b->ln>5|YuDcX$ZKeEeN6W+V`f0mWD8h&k5(
z8vg;vICXAiwTgFsrL?;b9Cv%xxA=WhFC<G7h|-Tt&Z0}J(0-!8HlwOPB0@U9{Q}Q1
z21Dg`j>Le@=`&4z2%abGYy_kBci=a30EDZAR{ms{e3tlI-a~-Pzf2jR#g2DfNDs4^
zF;!Dn>HMf9!#`^4_5K$0w?LB)s7?wnv4SzW!B}t(oH3+5c4XQlWWlcP(Dh3FAM-$A
za=E=*dD-6rex!u%=Rvc-21fq!yCAaez^=x@^zSadL0e8n{xhcZSxriF(#aKiMAQN`
zmUa@4%^n}O3il|9!VS2D5OOgX`T_#0Xa`m)mI7>}@{+A_h=H=jYXfHjRFwZ|M2J`)
zQ*?tPpt${`yID~`GB%a&ppI?X$B@hJ@Fcp;*dPc|FTDf0I4iX(P{AVl-nalL9&Sf=
z^AJo!r7Q)sz0Vr!op)RXvzj3|hF|fl|B9)<=AZ!DmpZDUaMM}J&CIsE%OuZ|kzT^*
zSewTc0(ft1Jd~;G{tRT*gxX#mtV4*|6nla13Kt;b;?YE1*5=~&1-KA8NLsG${iu0d
z;MDp44U7L}lKOMA+*hmgiOBeBlJUVhsx9e0)d#$u0wPiGmKW(zsVSa~-1_+cV(l%X
zvfSFPVL}Cz5KuZ45Tr}sqE%8-3F%Jh?hxq~K{~b~Aky7^(cRrG-3{M5aqoNI@Ao|8
z`|*u;jP2ONKVIiL&$W)2$DDH!2aEH%$cDf6^Gb6e@1bm<_?~tx{F4?a?*<*2z!+ff
zF!ny))!WAp{?}LKn7Ti;=vcIVc<+4_lb-2tbf1DD5MQoO8?u#M<b;S5r)73gj0VmO
zrY7oW=S&fT?`?+`-Ln5y9?+SqcKD#mWJ`dsYlP(<-Do7#0sfC2)flm=m`fKV5hHJ9
zLYNWX6aKk9tP@SzU>h&RUGEciAU1gVr=WyrE*+s*kYnin`Yrt<JBDMO8q_&(86m|o
z>Yyv|#Q*RAcHF9;4rofSpbrgD{O;P7x04WIqq8P7bK3BsQD{|xSD^6InvB+;AIa6u
zj9{3|4Nx8*je8p@SWBPmQMT|K<h^6%zJQ&8zr8jdWBx<ayFJ}KUsjpwf<qr~C|jEl
z0$fb@Av$#rPA^pFfzJTu1NHiBzRcngs3R&i8ja5ZkW$GF!`U0N>Dn&(Mh&#J5QYNA
zO<E(}4VDCfu>W;4ZG<>`RHl7u99YhVm4p<o4D{_yoo;t+dC-HSw@wuExCK>&Le{9u
z9*wdN<)R$}f=a;%!m#(OJL~cmN8wi%?jp&h(7p4&1`sWy9$U~|1G&m4c}W$uTB4Y`
zy9l_{K%Hu!xos}B&PnRujJ+Z*!c*6ixPfCRfPaj;VMTI=+PX&}rKQT*7&E~80;fMk
zKv)DWBlD+}`&W+#AdWzfh%c**wT2@~*+9l+;AU;;y5{tW!z*sQC~owM6X+<?!A8P=
zNL#_Avtr($S$Kan;u+A4=<HX#maZMT2JnL~NZ~%L;t;*&e^6$q&P8;SW4K}p7KYfs
zMqRX%6j^f$_euVi*+tmX#UlEA;7nLIS2ET)-s%xPKx9&sga5!YC{THzbaVGk<sq8h
z=Y4~JUjD-;4^ej;P=X;cGf)r|C}*P+uzUvN%oJMr^fF%0of&>$`Lr`$<4V)r-K}q6
zuXnsz!M9s41S9EjSREZ5J!m1WGXfKAh4;zS08D+CDtgdHDLYVRS=SjR|3|k81#T^>
zRp)xt{DUsc_aHr-2XT~NHbk%*c7=3T`+`tpAU8@o#_?5!>btE*V=qwaX{rYRh<B4_
z^p;IJ(>4EXy~}Hf3;-Jc9N+(&+!>?Zk-eqJaI4=#Xcm<p?lk#f0LDZ-fD!Zxl%1~6
z@Ci6K(>sF{|7$tLOU^}kf%eO$&tWA|KmaAw8fo^Xt0TDy%688U0@B$eyMm(CV|Ljq
zep`{y*F$i=JTWWb_1gp>Y=ol4wkNR{Jds6|FyWsS%>z=o^Z9xPMC<w6n`-0tZzo_)
z1+z`}6A7N7<mE*H%#0*QCg9%Vg|F%KwZYpTp<!W>*<+8q`sP|U*=^q+`Z(V<Zor^5
z@nlx33k-!?fvZXQ>(-Oa@n)^-<;BCb{$Q>dC;Xyuw{~Svlsc{R0{1t!P$yHQ1J|jZ
z16<F}gu$CO_p4gT^dfqUnR^0!djf)EmjvM!<tc(Bt_keh@eme(Q-E%S4_pSC#(jf-
zIy>=V45l<k@}eQ*f`OR$)FJbaI)P-Somns2(X7~bx+YR!lqat6{~HPbD#TVZ&V#j7
z+0u#~X|7Oh;M4^a1B=1TrMQ@Yof6Q-(J8&wlj@zkv=!&MAlP#Cr8?1V(~!40wAFd9
zKJV=Kx8=U9+Km?=ob7phs7wk7P$#5hA{~`Ju{}=k{IT-Q{DssNEr93{0ITqG@%)DY
zEpo|@l)6ycUbR@&!(d{7*_$fL<GKlU_w<;LMn~e3?9~B}G=xNM+wG}ic0^!#A}%43
z4%(f<!U1NDy7;IlCU|SB*8VwHJO_j0W9*2Z`m8Dh3EasAaf=@gISWhOo`G;(0HSuv
zdy9p^4r!`Mx!9zH-l-`y!q05ap~_#F0qEg#v9T73_E=V0*hs{pA=CnzIL27CXjaC-
zk8VQBE|x&I?7pf4lW!s|1*`?aCYD`S<ax}+PYj#~9Ly<EUk2`e+~1dTIkBjEqw>Gl
zR`Day$V35?CsNcf_3WISw2F!fjlJEh(Yk)fg)st1kE7eR`0LuCKY=Z}-~`L)tlOAO
z4OeSb$DRb^4>Es1u&tWy*i3Y*gdH|z2eb{}r&{S_`)#c%${$v7O$7=tlu_aA3E!(F
z7jUK{%ePZ@4`YMCr~%NkSxMUGF@c7WB2kAR+v5y@gNCSywBxS9p_KlLo_AiR6Ab83
z-{;UR<&<d}9j;l!NE*7I^d{%%fpIYc7|tVTgH{35viUkqs+goa_4QufLZi-S%lNN7
z1snzH0gXj>yzm*+N}K|Vr-Z&eKpx6>KJar`ofW^`IQFCL1zh1+*8<__Zi(g`YP8@;
zgF%69@jS~-(T%ev->xaOT~b%|cA1Uj3RSjY4S!&Odd^E5ELBm@l<5B1R&_^`Rj6({
zLj{&aB+s&}qq19ACV|uzlnG<5m}9t&x8LQb^4NXro<wJ8oD1BlmaAs3F#nH^AGu!t
ze(pU2a`Im2#6p9V)0q=8ot6;3fq?<wpM#HrwVk1qHv=4+%Es50AbKKHmIH&3_GJF5
z*Hv_R8dX6vH5WjjFyD7%Sxi5pc=rG0RCNQef)zk*IJ%oxVlqqzNIxFS?@~3sics0m
z_Im&3Kgy<M{ysOvhM7D~&NI_I<2%l63$mEQIrYf{Js*lu(F&%dP%u{l+Y%aQm~PDj
z{Ps5-s2oA20p=85j7%Z#MDhOQF)g=@8DQ7-e+wBv0%#9Ll9r-kJAGbtTSkgSdTwrX
zu11kEK-qwU->&C%uOO@CjQJ&iLzrViic%dFYZso90=gt$T3Q;AkPVcWDghfS=CgQ9
z_YJkBl~S#jY}_h?l)}QgiiP}fmWP#*(4R#NF%@eQZh$60z80E$<W6~~Sm@$paIhU%
z>5VXHkE5*o87Of2ft!~x*-aS$7qO$+QLIQbaX^ju&v>%=7Fwi%B~`52<?}GR>p+AE
z>PWP#X`F4A{~`BML!8+B3!TM!L7!SCacY|fm{s9+8QLb$b|J*YX*dHq#AMP<2R*aL
z){!M3tdIx*pDUns44#@&hvu8W%c?@Mc13OW9Ip)6p()-4a6o^atejvi*OEV<z?!RB
z=6T5DG|6!{7fSyPEE}iUSDLWhS*cB)+f=L$IM6S?st7Orj*~ha^zTa)@L5s2Ml?Ml
zy9Ixi^cXN`tjVq)uFhkD(dO=9TrilA0n30-%Z;gcU<9nI_`d-UfG$+MbO!o(#jN{)
z$O@D|j@<>Cq4d}7rUO6Tj8b9(Y=FU#9=C{^oz;}hh~FMGMPTpAg$<GGx;GPndg^I+
zL{H+Bb60oG*O@o&Oz!W1YLF!o4PZ5HaZR`CV%Z&3X`|8?inr2N?;UKbA9LHh<e(dK
zs*=5Tg(L=^O-f##5)I8f*d16J=>z3HV8c8IzL(W&6~n`dmzS%(+92a^7VMOLI5=}V
zy%Hb^JD|Km_ClyT>t^P*{_az?QyUW!(zUUx5aS>;vnP0SY3r~(6*z8|?zl4p5p8_#
zFxE3rP~b=F?lh9t>@0-MI9eB9vp|8q(CjW?(O=GwQCwS@VSCH_K`m=nS36~U`ZBYy
zaBg6`Pu`@l+qCH5i?a{ek0-6bOTOqgP>!b$oV;POzL<SBC)G5)Gop>n3c7(*PnUQA
zPvgq+36JKgfX|NtM1$8?uHyxI#N6B!5Y3`hm;1(}+-a}s5gwBfJm4MJ_3u<vAi1P<
zl?LC@&>%X|kVE`_96JXn8p;T{ERX;_)Tu_G)a=X$*p~tmsK!Xy>s?Vni#7~elIs)C
z8^?q?8XB4d;Embqc91Yz{oB-`zA`##;MU3u7kl|^crAtPBYFBIhAie8Vv3?gItU*E
zIa6I;MHhg0OkM|=QSw#NdKM>YgpsV6!EXfN5~sAI&%VcXo!YkaN3n;cX96PbCi~`X
zNO@GWfo|<OOJT92c4wjLUT^>yV|J1~(3#j{RsT~pkxlk`^kl2pD%W{nfcaI!>On+g
zWRqjv#q*Pyi<edXzR<`A)Cff%2Jii?*;;_Vxz%jtn4^A<jctpf9fYde1TIUsNeQT1
z1wAeoZ@SIP7|n{150=^Dm;m!@DsTPq&aX>@)e%^AUv7tp2yl@bW%syrs&v?rP*i*j
z=26Q^b?1+dj*c!@xayuVGxOONiwIK{4i^vQACAdgyB+qDTn}vjrLkC5m_Pfvwtt8C
zP-dO97C}V#d&DeC^M+3EMZPCm`R|^xXRD2UmW|SmFSiM<qG%~_MAVt^0b7BRGL_h&
zigIecO~mP6md$F3rHzBe1AqMecAAu3U`xoZU5^mWpkkwVlA9SgV%~?r#`Y!k^h_A8
z|LO3MYS|eDP-~lx{GY=rq5wf)$aO==yh+ZVJ?|o?tF4C;NZOnIMR>m0Xnaqe^#=Z+
zB>pklg0)CR8S`%Pa#&Ny7Om5sPp`WYzLy64{DYMNL&krsw$i%`dD!ztg#b~2kP!by
zHR+<ZHYz{cgwJ|G*yVV${hN?KNY~ZbN&2-NECH219O&Ma{yV8XTaDJU-msPFu=ZcR
z86w{mUmWYr>*&7Re{v6<7#`{E*#>YPsLTeF<H9lrE>}~>gN>RxeK6GpjVEvFfS6ub
zL8cv!W`}*CDj2nCIzy@FzlY#pEV58`6Mec>*BmoI4CXrkv#tjs5xU?2s1JJhuk#j%
znPTS9kb;DSgz<+D6~7vF6ilvyTx63PFAh92ocj~tf|szcYVKGD)jUbzCAm#J-oZj6
zHbz%!j$D(Vj`#TsLvj*C!72bX>L`3&$x{?NdG#I;$s%uwWT2b_tVP+`3a9g)w1&S&
z=#qen3ei|LO0^>Lx0FuhP@o?9<fHGY{DnWS35bdnKKYL@6A}`*-A-8mHxyDoQ~JoX
z>vKk)5A3kwGp7CajX_Q1d9x_%`MOgr5Bp{<ax9~}{*iCpHvk}!4I~k|W$d_5O|NQV
zCQkPPG)qOJ^b25C&hYKiL0Wc5T?3GsKR61iV;e{o4S4<;H(O5UvzW=$z$f*#$<}2Y
znP^fLykW)>xM2o{j8*`Z0OTJejdP#d$2=o~7)Zbd6`Tk6^Wv+Ab2eb1>lq(ROcsF0
zTK%uga`RXcnE`T_fcosS7t9_p(T+2Xo|gm|Hy5qSC>Ye&dpml>g0JohV@GuAv&9hr
z89pFMEu#os$4h5$y|pr-g;bFnUHF?k2X}93cJQTkI3p`S?<hR+T-pE+d;R(GohjtH
zK-W1g)`|_l9k@3t%vV7MN-|(r3lS`L{|CV`C)dd~syP@RcpY;hfZ7p0Q{zg=@A3l3
zU6CN;D`3a0k;r2o1ZppKw^J)1;uRAWy~n}9VK!3@yeID8!z5`Vwyd@uro_z3O0|6_
z7l{VW+v{F@<DVJJ(;~$T9{8%N2>D?IZyNPxTOAJ8Sj6Zlloqp`ndaXO%e?_qk-KS~
zuwgq2J3d|}|Gy!#>4l;uf^Wh+%av`uaq9NKTNx^@CNo1J?Mrupy{(lr{JIPX%)x9t
z=8xgs(E+iAv29e(j!oVB)!IDfW#DiLg#M3!gIvSi$-1K)%e~E_-hr{PHbB4iEHE8q
z0+ml@ULJ6S?aR{=T<J;bygHfnl%9MoX4<IvQ|SIs@;B#x;&K5eEIu*>vqg)i*9AK|
z#5@dA{XuQReJJ5Q%`E80!&~1#f*y&=`*F)4{3;L+I(a>l5p=-g0F63DgpJ11eypmA
z6^TaJVw>2QgkS^w%xBLqymi<U5!it0P}yPVMQQzOYxE@_s6B##GE&lB{Q8%Ks^$%U
zZn)qb&t0yfW7@$0&%-y_S140+#t;PVEw;K020h9JVF1V(hlE^5{-eN_fxU8>6(DwC
zwD`JH1h^sQ2CH)e9eh}-q&1n!ryMs)0MfE8cE>#grTHHSSkyWB52jY99`f6-dj%CT
z3?vIrU^k*ufQ5|s)J$QvYrU5^$YNe(QpfZ{KsZ*h1<!((&F?z>*Wb^g|I?T@1MrIg
zKKbsJ6GA-8UrcX1TAmFsnWQA}A|?P(Y(=7S3lxj}4HQ2sr`DZyCg@?(3BKh9MQuDp
zJ<ZH!c*e@=3x|Wck`ljv%qhC1rO0k8K6u=$V$K<WO+V?kKD#|@esOdCj4w;+9#(8O
zh@GOBLgBjY+f$~E0dP9^-2esv2Lj$21P7M7aWHvW)u{ZRD3?f`^Vd>f?L^wD?ui3X
zUvE>2_gnW#xw<$Z_b0M^1lg1df@8@WgrSJPGp*gR83rR`C@cvLmb4e!jn@rdr$TRf
z@^E+2h6DVEjUNNr-*XYI)J7ej$_dPN$EAne%yj`qgMM>}S&vsgS>l|`H7T>P<;mt#
z*eC+)DVvhhconUJXz<eZn&Y;<EuxLwF*NKo1d}gt_+tfLqWz_gU!mD$-)c>EMgX2M
ze`FJjlne5wGP)y1aSU-GH^_qjd^~UTroYnC0$W;mkPvUuw4QJ!j+;GYEqGvUjTUnm
z2OPvu?Q=-KIPO@)Yk6SrjEr#TY+^2KpFUXFzF=Bm(%^aV9=n3)d=8tmBcT%lIO!!~
ztSi$f?5d4kGp{(*edVq=XtVl_&s88*!DMr#(nHb$Ae~zzn+%hbD_e%IW*^d40B4J_
z+}?XifABR+dRQgnUkf@kdYo!33EeUL0k6P=48J4&V${kRuXWB?%ioYml3wnVI9uyq
zUbWMlXs4H96(Ft#9z+9}P9zyQKyh!Qb94@~9B`!!%~lve&ZCd4lxfJ#>|zCCG8<$d
z{r$J!ICYEUAOms~Fdcvon%=Y1_RRj1rvpWytrNES8NI3gVw~p1)%M*>f6P01DN#~W
z{3p04_>Ou(RRVR+k0XKyQNq`Tm&~EE8%&`L9JhM<_NdfwiV9ah&$<hMy48fvHUx<J
zd;$R!KI08Yp@6*;0wkCKZI^8vG=k7}(B9vVez3#o%>8HgF!hT=pMal-3V;*YYC;F}
z%nQr{WYw}JM0+Q|BbaNueyQ&{K?J0w)fEEjBJj&;fCQnK+tIfNe0Tol)GF!j?B0Do
z3J%l{To&}~3`d`IcD48(X2!p3eULYuY-zm4U7BN*{>+brDFKW<bOhF2M}E@rI^OdJ
z$E#2dp({=!@M4=1W~mm??y^iCExgpR?k#2p#z_temZ|x6gv7Fzs9PQAz!4Ck$Yww8
zD}O?+wF-!8xhTM!jz;fJ{(G|~z_ZvCi_!TYa3h)YQk`eJwhRz15G;=wwM*4Uo<Y>!
zR~3IRoDwX2wW(%PFJ8+t?xn#lawIoR%&9+l6RQy!b?37CTbzijR4lTBtme^1ny<tv
zitpjkzhrlbSMj6B04)SSS?Tr(Z-V%rfgy<)2x@k^h=Qg2y`M}e$TWh+?Wu>B!gqqI
zX3e2#{HQs4Y!`lY$e)Ap4BV|i@XbQsU%!01T;TlU3YS*XPYe&`!o%M}m#MPaDFV2W
zXN}}vK)(k}1rQRC5)Fi!iQa#GTyW3@_*lRbr@RXd2n2QHMl<0mC1mD5<ba+t;3JmW
z`U=3ETBG$GQZP8qaDmvriWKx(r-c@n)W<P@4|2Xo-1o<(BO(3LKk&LU<yyRR(o*-u
z5VAHQOMp*nGMv-85N{8ET^lI4wG_u~;yISHloj8%MVt$LTa*co1a?eqopDWLA!_-W
z&F5-30zj~ex^$u~Sb^9IVDs?2`pplp*{C68$D2uSN^Euuq{ue_l&6f^zzGGh`|bSZ
zXCw@a;>$f!bx$Ya)HFhb4e6#p&rR2{){v@#h5%t!;9d|+`+>pGUIja=<36n^69%bl
zX&MW^E1omAZ8@#|ot0pzq{trd9dYK}m^Nuf<{{S5q6qNPSWWmdbnpFm_Xj4Cn7wo=
zc;P|o{2I4w{>5%5?p4X7idXZh^CGxm@m@Wr3&WnQ8~J4Z{5+ZjRgj$@UrbLgm;r*K
z>{sFIk*J&>Beot_IY7DtxVqHLG%2-jt~l7LBca!gZTaB%iy|zX0h$;@_S)An>OJhP
zS)B*%tyW9E!(f~U)&9S~Y%lKh+a!M0?eVA>`Nv-1w!ff{Lv|xDf{5HioG5;0L&}*c
zqJexD1YJ_lW$OzytH!%Ye=F4tbcfz{b|Uu@eASOt;*1V#^{9PlYJMN^ZVT`r54nAs
zqxxw_vgF!>T?b;<@hbLU@zwMbyFcNjXYA=2ea8onErY4Mo%Q5Xh(iMG;iqEB^%GUH
zv8lL$d`Yam&upA7Ed+ATeTEHu-Q+3=fxH+DJ`D(<Qx=gV7EcLCzxTl%E4p6e^0F>R
zqEozrsCd}!jNeLMs^0^yL141lI_b`)yb0XvgmZmo2LEhu9$Wt<!FR6@vg(>@exafx
zcNvnL9RzruS~GAHEmPQ3@Yp6x>O-jO-XRaz+=Zzw#E3`;z~qWYj{z_-q}t<UJ~2M+
zifEyRyeCZ~SCjDoQaKNM|FNe0XZLm&qAL#QEE@U)_>DekTosB_^}ANy#uf!CJMr37
zF=LOjyL`l>C|Jr2FiS1*DerLY_4vm#bHWrasg^2)li9b40GU%)Q3d;A<Jd23vdaNT
zgQNfr1aMO7Ev$W5JH~FUCh@y$>+sdaGhktitsZ7~qgMvMQQr#cd4O#qaIy%Um#W$G
z3T}J+@9*1-&s<#?Ur$@^d0eaPew+?FNN~gfy*g`#Nl;>&udp0gIh{FA^Y49%_h0dB
zzGqU|@ioM^0U>u=XS)#~LMuzDx^B2Y`>d|B!<O>n(IF;DYxE+ll0@?A%wwEI1&B1!
zfi#Id=B4g&D4M!(ZoogUouWW!-=iQYefA1(HaDpO+1eU@)jSQKwiR6Yv9x=SW&jNg
ztR(e;Z)YloKNQt~B;uF)*KegS#CU)bA~J^E{}ruJG5di%$n}99N{Op}UdvsGz@iP9
z8GkG>)B>{pk?x#?tghDCw4Ea~RpH#&|NM3d@B>BOiI)8U-n|>jF|xLV6xBBG$$a$&
zZ|q`8Sa2J6MEokwI7p;mLZhOg3a<<rzHNCc_NIYC10p!NP#<GzeSQa!Ofd52=<PO=
zyq(sVagPL<$HF|ZwI=?0i`^f?%HYI~jrO1>L-K{(Jj-hl7k_<%d&w9Z#vaQem#tw)
z+7j!pFRx~s&vJNKxf6B5-cnss@b^C3cShC(=3zRDDo+#Wx#sq(UYjF-L5Tp12J^u7
zkPV`i=aeascHLe-IUzwt4|q>5DkGK-NCPX<w+VuoDBHCMfRpc^H%Y)^nu!Lo<Ieh@
z$kspbl+Z&knS=g=%knd%3>hTto;IrO27l|BYYZt)wOGnWXeq|+wt<*n7Ri}1(*`1p
zK;AWa-8@RYPasgPu><IGu(F$KJU5LdHwt<LjXXZCir=6cy>F3gqss^!JhXQ2EU;Of
z0DNzUuX>usyLrZ%3ojxs?Vr<byzv=51<SEPE?&#kw|@OTLf7~>T<{PUcIh0OJ;EaP
z+-6ZkEm`sq20ThN&Y+Y6q!dPL<-__0z&RLX^tf1#yBQ*>t<1L;MAM)7PD(*&$7?M>
z+H9r=Hs^lvNVlE{cO8wlxpB?*Mrlza#{Ls*jJH0chog*s5gfd1$s#Z^LC8Pc6uG1X
z87<Dg-3-&#hk{F{c%?!(W{~l5HmzDaAk~C%l3<cL0=@MYj!=+Nfw^6i$q4gDCSmCF
zTQ~u$afqr7+~JNF>GNNt%pP{+!*&l7v4Ncb#0=f&HwLOW6(^8L{>f?+yi`rg-<PkN
ziy2%<Qw7Rd>e9447sxNjj@#u+vNGU4#=W+I0<FYh1(o(jEBn!feS41px63Y}8H8AL
zNz$<KA6iK6anQ^6<>(DX7zx^fg@Lt}4#gx|vO$LqJ`MchYHiV|?5Y|X0)_Ga*?-Lv
z{*R1J;76^F#?B|^AuH4f*+P~Spn=vQW|z4u9B5MTWfjLAy-C}1S`&KhrEZT)k|*A(
z0nfG~o0ZQok+OA5*E%7E2aq*GolGP+bZLe+XQc6_$7LUm4MQ!azd4g#Gr2cC`XRpb
z`$YxQfEScb3r3#a?HTFc?@=qRK0&dnLd*{%l5Sj_ZROO}2jRU!K$o%i84vI*0sb9&
zAfpn?<fTEa;YQ?G40zp!D_zvQ0yH7-{9<nR{0JXc3Zn%h1)g@+*hG4F4ChaK|CKXv
zcgsEU*TPJ{idHJyO5TFg)@<Vc=x1j7S<a}n`>B9a4Z;|;6vcc2O#vnm&dQoF&--lf
zm6^+Cy8%uFst34{V#40N>TjhwnN97TJw`6aQgWn#3cueX53N?b%@#67UGxRgk#$2U
zM6I9QDO0$PDb5gO2P&NyL1OuF5aa`T4>_o2R^Iu1nL%&tadlE2!-!Z%j&N}p2NyiQ
zGa_)+NRlMp8gRrHvo^A3t_@5@ZZnG^@x2C1o1*r{*u#RQ<t27Nc}FYtVG(n=f*d`x
zek@nCEBe>y8(7(Xjoe^4Q-?Ae^=)SBZcX4tV>o6Jr2`rbRnWR(g5oub=f{(q%t+Ah
zIhHHsA~YdHqP1>Tzy<eV(cAouq{(d@?~*06e>x}@fKCq-G2Bkamo91!MM;4g8J|I@
z*^9$15L?H}fXqJd`<=JVTY#c0Oz-Yku#)cakpG`EcJOI~;y4kl^c3({Aoa!u1^!>4
zkCXEsirzVW7q8`v)?3NZfQ<JbOb!3x&9qp7zJV_nEF$X%UyQQduXU=d&LF68Yfs1h
zwiq}<1&Y-Mu*pND>Ij2rUDDfc7e2I9G3%Xk7^#iDcX}V<x7;Q+TTv^2z%U}{8G?SA
z>|Nvrg%&VK0zZ9t<OZw_5BGze1gA;(w2S61TS(!8yAM~24?$+J@r_!==>#fjtE;Eb
zYp=`>Aab<-$v7R+(6z~DxY}a?5JV~LTJ1V$vxyia6C(ml-I_!#420O|^DhU|z#?es
zO%Csi-e;ft7(={*reN>lHgFE0o&NhXQ%}{#gLsb<q*~@u6f9U0eEQ6MVcQ+S)<(j~
z8@ECVG<Z+y=8aC`lAsa_gf}903}BG6#~=HZ-5+dr7ph~RQc;qHBFlGyUJPW(?rXs7
zu>q#16E9qgM9a4O_`+Yt2<Y4gGLYbN^_bWnw~My>04`3NKIZOb1{w9b1|b#)C!p#=
zAaV8@bHxV^1yyVC)5m-sSSd=LEx!w2gXkW>JBL|<Aw?#o*+XKu)I~iQN7(W_F9ce5
zvubj}Mi`V!7o8AGgUo?p?Yg%&?~9YF$DZe(=LEyVqXJ6QW5)h`Y`Zhi9Tt5+27UX-
zn>B0%DOy_i^u-fv$0^_Tb#xF>A+W~Ay1SN|GijzC1XN&>`c(TA@ozm9*z3TO<BM6l
zPT1iBWE;&KeK0kp;04+1rFIqos^8Fr67p%JtDh*vd1WYKBzH(eka`uktRheooV4fm
z;z~WJcXqQ?M4<LikWk%fHY!@?(i>}0eOFrQcx@_2o+1X=+U*Zln5rlh#48$zY-UbB
z=CR;VsYu%phB8W@J)4Z=>V*Noo*=7cZ>e0>&E_mC@YS#2s=#I^wdHD01DKMxg2)PP
z+|lkgvJK<|z%kSvL%-j<duD}?*LOLwgBlfstljfl^s*^@KGv0<I*X$VJLnD|^X1Bj
z*m7re1}kg4hZp#zep|GTb^^9FqM(-38)(&Kbqu@KguZ&zs#eov2yjNy#x8JrY$)pv
zwZ|=kt`6YbC$j^i$6A<3E-)#&O(qhg110R$n(E}9;+-3HG;eXIat5brP|(5!yxd1f
zqzt9Me%^&FeX8`1#8fmi;UJ&OlqvXxITkqTxHyo33Ko6CMqb&`@I8oeg3D*mPWgcq
z8{|Y=iexLP__H1O&>Y5wRqeR()fnl)s(hGbA|&7D{wZfNg?_{QCPg|?JijmJjI#EO
zAZo8qg1S8gE@1DX>=_$124Kc@7=V<@EU-X?0lcZ8qU6fAYGvh{BS~?qeKeV~7~#@?
z7OnJTuGPf_IQ9TuBy+u-C&iF{Y>tyH^};q6Ilz?e;1o6jv7YO{@0^smZ_3AXud2AZ
z3N^I=8)0MaDO~WF-)xcQ=f~$<iQs#m@7{GY%Ny?ii{^ZvozXlCQcA*5IB@BJ4x5Gb
zI2RS!AIEsDXHE5THCU|$%TWF7vZ4*j$1+yngK^PA*_S38`{@xkIFYwlL>lJ$IogY%
z!N0Sa@dw0u9-BvK;hyA^Z3#^zNpKwCJ#@6XUj^|e!J^Ny_i^3)n1>wXf1~c(tgzHf
zGE~Ck^3>4(m?-TKL|5vKg#)bi{l~4tV@~th!v-j}w5AA9orW{nc!Md|Z6`kTRKwG2
zg8fC^5l^n*4cb5WDg=JBz3A$H!vI+4Q_7H044{yK!jae1LHnT;A4n%-A$w3CZZo2=
zkb_3*qV;FVj(oOypkDEX77Wzr;4(3j1DcaY(4&FkanGI@gE~ipiOUb{vwnMe5|7h)
zf3wNbP~ZmuX-=y(nFTM#dx7r;FVoos(9{=N&A*OMNT|5jt~!If8t5zRiGlV0@6Q$_
zp35IpXHFqR7RhrLIne#L-2%Bgj%nSsPMFO1IMDmL{Zd!VX1p!5Fo(%eNgV;xv?IPT
z8x&ebGWCX~8V5ChyyQLH<A70eu+jo}SJ1KaaQxX#KKmH#4k!mF@M7Plz<wF<rPhFe
z*Qh&Q<iiKr%*;$cr;%4xby4wc0^aN3ewzAP_X`DBHLAThS8`o;)QXa)e^ovL5+X~S
z)l&D<>j;|s!!^R~U8?)w*z)+}hCa(?qSpn5Nk+V^Ul`5!7vQ@?4UP_=clw^ui5363
z+4J%q<S|}wueE;}BIX^x@QFtXdj#;kPYGFvv52MRyUn!k-u(S+T$VFZd73qC-QCM+
zF`5e%tI1W_jq^L6H?Cj`&wV{le(jZVwP{30qWO{M$L`)^@{F?+=6RJOI;VQw2G*VT
z3*;{7l4Zn2pKAfxxk7wZm*Ad%51BUj?xr0|?-p}0OAKJ_adG?!Af*8Nu<Gv^C4b%_
z88t9zl25qpR^0BcL?2w0LV|2=WXD-B|LSgm$j6B|91s%1RAyydGw?t*{>6HbH{f|c
z2jntl=Y>ETF#K+NT&KAtnt!}4v|o3PKKsr4Ma?DBj4bE8X62oepk)}oNAM{MSxaIB
z_BM-%@DJ}eDe8OngpGeO2|3xcVU4R4c@G<iWM?T0m1G4qx6bP9?K!SR^hH9|9=NN-
z^>w(FKO+TB6@x={jp4!;M`X+TO<0Mp+6HF#U1cJfdk=zI@3R0m){4kaB5(mv=<56O
z+F(Zn*aBHG{qo5L#C2E$g6P?s>k}~8Zau0^YvU-uBoXfLyhPeb)_8HVeYbkDY{A8o
zH8+hM+p$#xK7I0JC5mYtQyxszkpX(O7E%Cc;hkDo7rdnk?u{U631m(|g-W%<sevZ%
zB^ywRfr_{n6b%DO=V@O8#K&S8Pi<NjI|*e6mr}GdXZ#n(*hpIMgS#RE{_vOdvM-Fl
znEp=+m)L<!e{isKUFUb3@wN14YuzvBu{`T7cFOOX=4q$D73Mxs?*|ukzy;jy9BW-+
zC7Y)V9u8RUZA}Yx@><TH?;<a3|Be2}5^S?PYg8Dj8dG^Mt0GU!6oa2I?lZ01V!@$T
zbmzvbDAv1`f!gdndzfu&c6zCKj%TS#w{rLI7s5R8O(sSr$9Cz4vKj4@@Rq?1&}_Gr
z{?38?NW6_s4jQj-3<2MJ-{v50#GEIv^k9(xF!?r1C55yL|FyxQT8Wuz&?u;#%kQ^1
zX0r*_n>6E<qe~2m1}Y1Wds^oY`M~WJAc%XOKXk`l{(if&PA<+W@i4JSVD*sO^zK?}
zxXqw6m;GAF;2<+U7Vj64ivy9UiXxVMqk(b@QpMhz`zO~|FY3<Oa!>Fhuh&w4OnZ{A
zoSs^V(I$QFC7*jKf~*$Yn_u!H+Wc8bREoVujBA{<c3COj;~YGa_Xjc8*BqV}jN%hH
zD+jBp-D8Z=dHkyznwDj5M<wPrZqG~`0__|Ksru<JCa1W5Pb!ot$SbS26)tv;0n>;r
z4z+R3qOV%pXR_(`DJ?nf76z&(A7D8$FChbnm(DY93_^SmDZMiOszt|S@Vz2`wMPvG
zhXo^>G}i}OFHI~73K8xxf81WIce78>eRC+EE6Gr4;VT4$jNzV_deDFy%k#7ev(5u}
zSujbMu-)ZNHFmEJa2O=`qUrXywUXmS%|6cc!lD8g!M(ehFa@P7i}i!L!1j4m$0!`p
zPz!R`j*W2@qDxCzXXI{8&jecrYJxFfsPCFFe{i~cisW>OSnWZ1dNWezdU;RtCT7CT
zYox9$c@^v7sT?^rOZ_s&-2Od;*--c02QaQr1J_^szmzhE$6gMIcWNilz6dIuZj%Vk
zJi46QvmLc@voB6R+R!q3|5TnQ#QU=A?vfGHU)dE=!v^#!Dyrgd7OjC6sreUfRzO(`
zd&wkvE$f=Y`J}%tyW>>$1MGFa!*TvERIg@tUe4}ln`AaaK8DJOfGo{2jMubs<JWx?
zDk$(kcGeASnnfVl!&56qj*)o@Ma{phH0C9lYv6zq;B+$W$ZHq0&+Ye0fyS&@Pz%l$
zSJ2zm#A$zT`}<?CS9p;O(q8c2kTC94i(ERAH(PIP#b%GXKSn@fZ({jrY*mJb)>~MV
zot!!>Z64%|fadU^$@U9jTx3_<l)j(6Bz1$%`e%)C@U9jXMjt)q_n=hpIXuUh(xQ`a
zsgsMn{9UotQ_*)MWZtk?o5xo@YB_gw@uAVvi>ADQ!B9ToliuXQ^5`RC##J%dQbuEs
zZjRca<D<cLX&8fHC47=2hp$7wb=gL%ZpX%Q76k}JAYKJXGv5d7<H2AHB5Fg|b@e8;
z0q=;ZFWiB`3DFe~13Aw($yCt)zDn?Pa_&Q;hpx1hgl)SCLw82t<N>v{>kQSLc*CD^
zkqnfJ_}hKYy1=0emh!VcnmuN&Im7{;?j--D?}_58ITS(d;a`d|)uNi3WH$$bH@3|u
zVSoct((S6x>LxJN84c=M`a8eq5Ls3oXs+j5t-E?!^$UEsU#~x}{n#-7tEJDlQNzF}
z)9kRAmzid~Az&)%?YDeO7o_OCM?v2?dXfFGiAc|uk@VJjYaifKPln}Ro;T`WY!K%7
z_CC<6D=LVWUP_0p#}SEz55Zj0TKd^Jl9My7^{FQ~YIr5?gdhOwMiH<bk^RLfH!Szq
zq$oZ+M1s6~Df<Jc6C~2v*+DzdRuVLFau~bps3%y01`HBNS|6~MDfq{u1Lj08Aq4&o
zx^ntaJ`3^c2u=U{j_xn38hMTL-$jDQ$}F|2Mimql3oNF2&X2bsKMg`2yXRnw%|4#x
zRmFWzDyPpjWuZ=9D|?WTr!zE+q`f{Eb6e?}`voCl|Lot=JE{24YH+m4n3vH^Y;4;D
z{zh4+@VrZ^`q0jP`7Bh2;9hNg1?`*`6Prgxxl`@dLMo@)WUkIo`YQckXI;k!4*#G)
ze!0c9v$XHJF)-=KAYp3UA89oCdu@22dNs0Lz6U5GlZoul4N!q>i4~v&;MSattJhSG
zKu;8O_i~J`6fm8@T;&7ou?ZVUj^kx>>m0bi=<ie>#dtL2c?MYaqvOVTUpK%I<pY;p
zO}U>;UvAW0Zw$}ynB1<BJwD;X*&z7`=L_i&aEk&1GD_s`=}G=H+dILB4syWNR&&SD
zXncI6-{*)V(_|rwHg+wag^ySH2}xXJWBw-9f|-)QF9m0^1SG##2Hpv{C5+#0WJd1Z
zXsM1iHs2Gc=FI{3Ma+5fSHk=0Ig-gTt-(nstSCCKR2S@5ZUi#CF<==BfNov4%#8NX
zogU~Dx5u}99@0^kI-dx#a{yWwY(FpPo&-J6C(zg5mg=6mOv#!>pKk0^&^gT$3Cy7s
zldCpwwYSg=YF3Poz|yI}aYqx}6Cn+1E(8L0Lv(Pd;^<v1@b#NBg@Q1>{O+k<?{ek}
z)_V63pntSK6<;8~Av;cJ_2K5(yNiyg$O#1sjhqeK_wLihi;s+qspi`fADtV*9oy~^
zci5iMr3k)US5f-;+39<!@0STYnUPYf$_DrTQA6s9_5NqulD^Gz&zq+n(Kuu|_@ZY>
zE}s)RVkF2~>JP3Tfes~zYYw9%Z9*OZo4&Lvg9J$ecvT_^mVtJnV7<~%gCO}HDlOI4
zGh#1SXR|PhNG-ST@bRmOQ97(=^#{DW4UnMZO>y~63teOOpwx3iZFT{;?bT>k-S@}O
zz@)9bV`2)vD~9TfCl+4=)}zvb#oLLN-}IxEHC?gP$yRW0@!M}!Ac-)|Dy5SqNTdIb
zKTUhB!$ugxx^)VC7nUW;t3ANi3=VjvMV6yH`Pw}A<WnAd!V}){v$T>&i?2=T9VBf^
z)m-IyX1*@D0G$J1UKOk#x&R`dRAe6O&`L3!Rp0;*7!K;a9(_YK{w2?L35-}kJ>is4
z01?v*smm)Qn%aSB?ou+i_<-MNzCGy&#(N3?G=J~Mi2Fq%bK6sVkF2W<issU6E?MfG
zJ3!P<;rn_DhJq8G+D_iVY+#qZ-?=Z%J)=T2wRO6YP8!~Z7Dk1>?U3kmK$lLcg|S>=
z7v&PerSO*T>?>`bbn=58L-V58wV5<~{$|_M$Ab%N<Ilnl@0bq^yvyYrtwCh2>TzoT
zmC-m*2M^~SBxJ=(<B6tCcm2rDl<J9>c&}cz@vtI5oe7|<!~hW8Hnw`9+fD?zDW4A*
z+cYg0lZL_`$mW52^8#?Np}qMBDf*sJR~@o4s@b5C{|Ko8+wxeYDA02WExX3WpQ{{o
z`2Yo`JPhv{DB7fZfcK!zV#3-Yi2cPED`AWK?t{FB6MMsNlRJ+L3GQ)pYsw69+AegR
zl{}I(QG+RtembFeK-V(KU@l5?d^zC9*e+u}VDpTJVicoku5TRK?AKI%de9MxCErN8
z`^){m`c~+G@#e2JdK+&r3uNjT^r^9v|M}VY1A{qm<y|L@AK2_pLU<o4x|#j&)9ZTg
z2%~l9Rr?s(zuWyd9^&4@u(0Eax`7b-vO2b}cyXiz?L<?1Vs9=taP@)jsP*mhO2W>N
z?`05AHGE%)5v5K3Y5uKx#=bu(r3yYiVK%V8+^uRc6fiAr!*5ely#6RbCeLVa9Rol$
z!-lqBH_J)D#xbxd`v7rt60!oO5L{$qIt?MW<wg$*SlT$a9Z0_3v3C47Jd&5TyrJW!
zcP6E^)js9q+s$es`vsDAKDu}|6(Z9dg~WGp>j-_xQcB4}lFq<ID$S}T&OEcNJZUwf
z4=$DoYG=br)6_@i6FjvQnoDDWiBA27^o3ON3$^0vuRb9JCe>@FxO1<%d3q)`Xy0Rh
zf`(Jym3UUI<@YMl)^G*Ad9`aUZuLySJX{D|`?AnJpc`V(MoEp?`G{HktH@T3-`dSZ
zU4+|-m0^PY&8u>Oi@VB>f^XsM^cap44x1%vA*G9klyAzT&08J4t!2{aGJg{!1!s)P
zg{(+<Fe$Vr<n){Ns>oW`-mR>dKn#|P6H<N8J7R=02qS|9IksXg9xlE4ap-#^I$TOb
zvP<6htwpRL!-Je8NN-v8W58*=jH9%KpEjw7qmDVeO}WRTB)v(QxZn!yM?Bd*7**C!
zf(?C9DUxVf&Chg^6RsEqJ8rmvT(fP(ENTv0oHzj}n2J&xalh8f<C7iuQWz3LmT2fz
zO-SOR7pJ8a$CTlvi&YJ<44X&NCMxnNsd0#m$n30l7Jq*!lc)NtqNT!kzi4myWTKPK
zA;y$Zk3U`1+GL+9EUeC3&&v^8!k6u0vyc>vgD*sk2uM_Ko+?cKQaaHOphMLf{2+pg
zXmBo3nRX_vY?<swg*QTnhez{;G5m*rHXmlquaW>7wYdL!_ykTqpD{<RmzO0mUQq>~
z3kNC)b9>zoOIro+yrG?@tE|Ef%7S?g#@e}Aya)*95)x-H;Vo^$Ddlh(c<ehYI$1FJ
z{s+4zVTdhT!niVBq`3MNQjHU>mzhIw;+yA8nzH??#nD&()XhQmib~cxD<okd<SkWt
z{@4NGM#t@+3$h%zFgXPLghIo0YqCCU$%M4|fOntuN}{WQ=TN3H=gj<h|6bzNFH76>
zH16SIthXH(HP+nP*^z{-*2?KluPEwc8%b^wb|{Wh>yUL>5k5{$A&usFVjhPJAh*Bw
zu*CFvNDvonq#D*6+B1Ky{~~XzyhEp$w6~1R(vo58&sUIm>QgTa3;d>%%4TgfA<lr=
z-NM30?C%nM_c6c2U2}n$cS*4vXB8zaXyMa^e!UCZUtecGc-lw2*$}bkXr+Hidgz<G
zyt%V$!8syg=JqH_QLRHjMY4EA;%QI&lFvsrXToDIE*)aG2hjzCpW%)EHkHGn3h6|9
zXlt4tPl}2D{TR;^$P$GvcQl1Jcdqa0T3{kP8Re?qTi5bGSnPdeQxW9mC#g2&0DXu|
zB=goBjxedtz3mk`v!9H4w=1DRQqa(5FwV|^y@;Gd;>VL(a{u``XT(4{FKw+ufv)r{
z(Kyq((SkPV=#eDrh^45QHF$UuQcslCj9LFMUoC+v;M!W)6WiyOV#)QWf)A%yxLF~{
zT4sg1*+_@j1*NnBEW?S|#*D(KPPJ<Ir>L1HNv6FkVzcTGb`Ja&o;Yk=e}f==Dmr1f
zZb03k5WMz;bPX2~;p0-yr^OhLyFFUhkK2Yhn)zQLG&tSI7ZrkW@%Y<PzEUTmpK_QQ
zUTbid9*%oOZErB+;KoI;DqI%*)*d}$RK81w4zml+LMqMZ%!^iEN$1KFvDQ)ivg{&J
zS!wyBh~^~LGYS5Y)h|U4niQ#Jo_wQWyQqH8e0+g5|8`MtOznmx5zh#_H|nR|SC_=d
zb~MuHz~Hzy-O&X_p9=+C2F+*eI2LflOWhw<8o6W3mR7Tlw1>pP804#;^ydU9+z%Yp
z5<2v?d`(Wq#>qos<#x#p6TI4Zdl_nKOSWFRcow|~Eg>ang;Z%PUt39Du`)iNNF$VN
zu!M9LqlLSF`T>oCo_MDn&$n2P{AY=M(bY*J(S34@;(3{Cuhq<5_?wAni1<nsKlC$Z
zD2JO`C&uylQZD*i+g)nhk++R==N$LrKe`xbQp9XD%41xJ!}%I*6J*OKNGpImIoCTF
z2rqlmnqhmKWj~2e&5<{WoL_hu_Fqd#dKmAwG+*}c>X_@BMwN+Kv9h-3{)cjb1Lx;C
z=Je-InP;VocAa|_5fz^l1<eIA3OIFm-i>K)yl|h~o7PUm&Eb10Y$)DYFJ)1(&}YVw
zhs2XGNXHz1Ui~&ld9nHeFV7~_URuf8`WPuJgtP@Z5$v4t<20`tWoF&i?Xk&)imK8A
zj3gA?mWfss5PdKu=iChCik?|nyyMV){3R#c;1{;<q!v7q(f!}}Urh2E^@j|Z*x}^t
zN0)7Wy;Q1(<5T~+^Dcbt@xr6rZAYf)M&E=7rns7#g<E66)7_%qcWYPZhAQduwoWZr
zdICqHnSil{a8L2-H@mcjHZ$}I#)bR|op!26YDJMj95Ur*Wx0QG3V~y6MQJx3+sEfY
zF#1W!_So{!tg)d*Y)>5Q8@Za$CdHo%u}^z4*~ANI$L`Jgna?po|4WSR9#1hD^VLsy
z7y6S^0HJLYr=vxghFy0dUuy4@up_<wJl}U_H{{IJ9m7%;ash<V)mqezZ4~h3A0jms
z?SW%k(f`DPq2IwxtMZGLqx|E_5obvg)K}a(iMU@e6$e?_@O!Cnit1W~0@Y?p8}!t~
z>C)Bynsk?WF$&XG)R%8LcQQj4Yn^S5*lTj~Jm+82{l;J2Fy9Iu-Ma1Oxx*+wLRQz^
zv-Zm_0`Si5Frw=(L^&4bCiCz0EN_=8QH~$KqKp_jeub*!9wAd~$MWxnuaR@jdwQH?
zNwK#={Lw-IP1Rw`Z=*=-<5B(7pOy7r_pH*FPcMzF+QGhm(^{1fQmXg<OE!87_dDl+
zj2GzLM2x-2<HJGhtX=SEvH=Ro`g1yz33nMY%gk4<Uoq6KG>gv?-;OxF>@>Mg?G0nK
zek9g{wYUUFgO?~9rc5q0c-*`qF>yn`AR_bYTwnrwJ%_9|J(5toA5G634h7M3z@Ad?
zxsLL5tR&jA{&{^tUq}>DAY%xJ>%=YG4SXNO$rdu^SQmPl#f(h5h(DEJ&v?2KhPBXb
zU-g$!&79g-yGd)FcTQUJkKN38H910TzwhIRWQ1@$Dncpwq4pPLd!vvl2_9hrG2ht8
zS_5YtirN*K*)PY2Us0Y%4sw!nn?oO}c|8bPTV|W3Y^aNR>D2bLr-ficr_V7t1%gyv
zH9(v(HrV4xk`hzWA@uAu{y^r0JJKFpQAJuiWg={3fZnD1pXBx36=a@1Gm=%&6)O<b
z4=7)Cg-*e3-Tn9MZmi1{QnxI+<ik%e`H<I}WObBWNlQ5jx11PRdjh*8QN1#a?|ZYq
zL+^&OkjTtmd3{jF@WGZ`#xgEw!{OPO9-A<x!YMoBADfzE+CV#u@9X2YMH55XnVT+1
z(WBx?1PAoBQa2{wz$pRr;GD9q;KA2sz=L<mgoQNmoN{g=TQ>3>VlL^k6v@8)G~wjw
zQs1%o_UZ)j3%6&+zX|yJviL8a+&hh+vPqi=16y=6M{zeI%fJ8pAm*uW2)<iIE?JoD
z4G&4(DTzM*WZTI7#l)X%`mL3}(9i*nZqFBz<;9YFCuFCgJl>I41!=-mV{C=%7j9X4
z7B0VoBzAIh4fbp8CsQeexi<E>yhff0Riyr)>Y>~qYa02@)JA>f8`%|{x32K6_)+$v
z5eR{@%bJ7sMoI5N$FA>y`0@(oCc@MIwe{cgS;j^zIe+;Rv}>1ZBuwGHpVePr4*e1z
zOHKyoF_N|IM@vcm%bI}Zhn{C*0q#3@*8nU1<^KDIJ;^$xRpy)fOTXhw+$0_cTFWR9
zTHtTIMx8>Z#={9*Y&ppkFPyt78G^Af_NWbR^(>cW!-d_Dz(EC-LX(r_Z}j5qc{=-J
z7m`E4PeNb;S0z}D=~1J$sU7f9yI=Y?PA}Lq$Dx<504tIeXB%oki7=CuHOZZQH!>XX
zZ+Ltmi|W-7rwoqb)EdcohMsflFf51L6xV^nMW@QUR4+o}>E5|15G||q`P~Z*#Y7?L
z^+4*;x<Y^CxhNs{OhPXaSJAI3^r+nmNeLNS9nHtefG;HZB|&OKBX05)88ImC3Wj%D
z-q+zz67lc4ni;Tm(Iwso=aiL%P%s1+xAmc7YMeV$@B=I^5^*dgZiMh*c{uwsRU)my
zz=2|_Y`u)Z;Q-49Hg^uAvTd`Mg;&;86Dco$9lb+!wU3ZF-2OM-DCYk7mFmhDrTC73
z0ajuwl!IH9@XK1u_OSz(;<s)`%fT?;^rz0J=E7R1)Wym4Euz79k7-i;Hbw<e(n2?6
zb6$YRW1!rwoD!U7#W6kO#__P_>mJKJBi-kAWda!-8FbcJv)(I2C`&jp)YK(ZGvI;`
zN<DvTs$I-<T=_V6y!KBQ8)Wcrhm`>sVSW_JwC|W|({UeD`-_Gk(tBGra2{g*$j0*b
z`SGM=`)Mjs!Iri0(PXGLozB1C;;RU%ml9L>qW@}ZAAj<!gPA;)nbs<YYFI*+)$I9H
z>Ec&`n4wJE0FMjex3hw#W>HjQ0;hM>Q?4k$Wf!>}i|;9Jm$0QAPR*g7!15*Fz?51u
zCFCXjuChgfF1l8`Dtkc<Koitm>VB@jZXK?$sOEJb0AW*)h3#{Zr`nMN2$+w+i4dwX
z5>io6`r-`E@EWEunzEQI;cx(01e-0RV_8*y?7-ADOpY=9^;lMr-FHd7|3sl*BoRM?
zR&VBsJX{PYin>>e4OPP&xs>!0W^KjHTj?3?_xN;~-Ei9}cl1kDPPY6vY_)t0PLMC3
zZIOXcL?^_m%m3~7T0)5ah*UKZ>f(ejY{#1xAzw}3?1Pn_q)YrksVElba7FNbr7gYp
zyax%PCyH3hY{T++F!zP3dJe33n-z-r8XS|~#Fu$P<2!J{Hj0+T#3cM00AdiQ+nq0!
z`6Q8_8P`qVG@n7qsk&AA<)^6rzY9R;_hPx8Ted*&f&V35FUZ{&MpJgyue$g=^GD*u
zXz-Y0Z6Lh&8nMqF;iJK-yOsO#gM2c#A3u6Z5<#gzCzJ`V{I$N85;iaK#3#!OH8+fS
zHkFofM>&{5M?Q&OBhENGsl0i|YfzO4ts?W3D(vn|bJgO`TutVn`1%7$ms7J6Sf3MW
z_zM9)lnt^^(gpZ?Qkim55+Ic`a$s((1xiu$v$^scm940x<chi>Wk!oVF>6*ii2hI7
zYM=6Xc-r90>bBgiNyXtMnn!wb!akW_RZ)zOG9oJW@M6P~@_M54<v{FlrrB>F@Buz<
zd6R$AFL-o@-uVEEr%^W98?UvEsiTVw7lvOF*jjV!D1%t)&SWNC#@(Bjux9`0WP)6g
z62@(f1f^W3x#twW8(+x!FTiX4uAuY<s^vyg#+p(tHh;M=+wV41y+_R1p)m0BOIb*y
z+TQ;d*-`r`dT6d$WFq`;rGIdrCS+u3G><5!J>2Y9bKT9_`yrT;QFr6;U$Qb3$7P<O
zr&u>+6ow2|3|t&dXB#Qri>bXY3yUfjWo}=6MRVmtq(xAu#Rn=O>qz-T-VL|Rby&(t
zP+l#~*;65wbGg5oKGPIotykWm@1{feP(&`j>KGB)FJR02&W<Zb*;3ikmBDD}=uOZ^
zA{O&8s?jd$6W)HRFr6`(iI(EfEnI%6ZJ#rd`ESsP8w9V&Gj=%sax&ZkZbW86yN(u9
z_TB$ez|B=~K+P%FL)#(*g#XT4F;(R>$_t<)`P#rxAVBzr=ndRXap5b7n6`VLS~;D}
z;(h_`m2T>2ZMviy>eD`U$GbaW#7&ClO<Xp|mbnu_Vnm_#*jz4L*5eqJG=_oT{r=UZ
z*^3VJRU}#pp~gbLoIR-{eh!<d_W$?WwZ(othq7w9KyP{URnc@m38#Qyf%yitV5bIw
z{~-c`_zWFP;EWdLc{cdj)FjCD(=*VkDG+v%Y&1C0X+#h-eBFDPd#{loHtbv9V77y@
z%`coX4wrtpMdc!_UQvoB(Ps;%yyY-kGKvj`(W>}eQ1rsaPM<rRZ!cOsR^?=G<$m`@
zvRRv$+k^@SWyS}GsAD`wvE=FaHSCMI?2~b~hxt4^>+}D%uU(XhZ}(EJ=ZUVrg{VdD
zM2V+;cDkYoxH>BP3nN_(l>`%(e03)=<r+OowA9z&HVH`t9~sLvl>|<4;9jJE?>oGt
z*(s$R8<=Yu5zQ+w)J;VpHqpp$%Sw<+d?U4}Jcl|%Dj32Znell5e<DB2oC7u|=mVgG
z`ETd$`L^Zvr@bVCZNGn^x)U`n@TXoR<wvC5IA?mqE7y(k+02zB@R;VWQ8V>pq5s+q
zO~ZRo^ynmr4;6}dcG;6kycfscoo?xmbK5v!yU!=|x#SWMGvbY<xZTgyy5Wl|JzhxG
z4g}4S;=LB0&kFX3(jshuaHx=x7XJM9s9J9ek1*+IJMlL>%!O+c&snjD@fO0-cPa0{
z_L2M6CE&kMpM37_^ka{8^Mw3$NjFInQt>|6V9%ZtdYLbYgU#S0X5)}GOdMj5JxM0^
z%UMvn!kvRcFR3dau!*htft)k$>$#oYS-5AniS)HB`9`C=^jD7Vcc@-avZ>jX{xQR=
zcbjZ>VSkcM+2fNt!6DEFA=vQEtbBQ6_rj<f4zhm4k7&ni3du2r)eaRdYg=y=rpb=d
zM_H9Y2ZK9{#&e`lzVSMBGE8BhE$=NO2IsE%TT5$xPl<;Jc|r#<2tRN%M1#uK*a5y>
zylgJn*8}nosu(e;60i($0$uFqU!(jdUi{cEDd#xrw==aVK~sy2q5OZP7A~BC6G82B
zx~|vIQS&PBShaf!keFT*Tg>?mr$12*?PWr5T&7gwjpnj)+^E{qJ1*Y*Ft%$<XlHDE
zn@PMPo#}?+8JWrn0Z(-T{l0w&9tbrZ!BOZ<JeS*z69EwgiB~4l{so-67r5da{OCVo
za{eu6>12b|B0W#~Lr;(H8%t|qmgM0BXzxKF*9~G{$S<7E9t|sx<KTQ!w;$iHbN_xy
zOMo$9J+rw@f0Pep@c3#oJ8JU{bzP?6E@fNEy^Dr+pwGFj0n1t3F?sMNvWb&6*uDmw
zoH+<ZFrHjGDQJR!%0LSB`JmFk8+e&^jr094%0E5uZ-G04H}K=ucU76e1v2T4P@9tw
zzE9y(Kbuq)cysPRE*D>4X=l2hd*2j1?*BvATSrwLHEqL4E8POp2uOz@4blzL-Ga18
zH%K0&5tJ4Xkmg8tgD8!3gVNp2w-0zf@BO^rdjC3quoi3o_MSa+%{AA|wsS^=?l$>@
z?B{{(@+XnkYV@fY*MeKoevjiiubQ1<@fyL*$3;OhE{S%@Th-B=)o^dZvl;{7yotEc
zjfQ@k=1r`^mAG<VLf-c@AjlncJfuC6urNxfd~|so`gZUZmAuFgm3(u1K1}T#T;Zh9
zkEm_@S4#Y`XFMO*+;<+hq~Pc^Q{?9&$na43zvaeXm4IlX!e}7};h)mHnM=36*Ccam
zCN>ANgL!l~m(#n{H|@=#VN!5#@6@<bn@@Cj(=Q&=)_dgXaNaL=J7|f~lP-c5=5DpR
z+aG_1WVMJ|s`D}P+0fbVdkwBQi5XgOa+GvBS{%^MkqJbY1<;`8u5ezO|CrDn2^Ko`
zg67$?Rb9HaF&<tA5Q8mHkV9pN{{$oCV7wf$K)hNcDqMlX2ae*}b2#8AC{tY|`E|1D
z+y8AgEJ<N&^d@e%Rcx~KWC%OMYKoqi_r)@`CxoLM9cw)Y4BawbM$pzfqEkez2e5d|
zKK6krarmtrb({{@zBT3hrXJMa@RJgsG+GIp1-SY=^nhoxF(_kj;~CN!(a=wA^mpsV
zgaK@HNo1!J0Z;)OpNj^pPg&j#mF=GGk{5FPowwoR_)xd!(NX7zyt&7roy)pPmOW-K
z`Td+yl?5f%dJ1cCk6=*&vh(DA!{t)2;pau%@NOfEdzh3umcyE_XgZoM;g9@>2q`@p
z-d+voEnNLI3f5Oso59n636kNTE!u2CvKrmT`7$6R3*q6=stfIEr%-2>w+0sbRzvMg
zvx(A<?I&2OmFbX8mwCB79$C^UFK+#Q)=OvUbTU4<xo><eKA~1kgf%7-<cTsp`;!2+
zAIwoMfUes7!J#c3)yne@KXJW~uNzHfaHB59mM=_w<N=`7L*D+zU;P6~Y`Nd|;nx*(
zrwftkvT!YCWG-j%^wnkD9>Ea6$N8N-Go3%Dt7v^-mfilKyFA1Ha3mvOctRU|#Djky
zfmOiD&Q8{MxBC$?s=ov@WBnst>}~B7s`)R4Cbrz#?esi-3=P(5$TvEZdPcyP-~tv@
zT6KVI?|W-GhgxI}z!|(OB?Nxy75uP^zUT^N?aT$&)2uA&N$~3x-G1K(53SpkXdn~s
zu=9^EDYuw~Gneitpgw7<I!^L7iiVjqE5)0}Zl0xaa&wylYgj-L5Ru*rb`Wj!?3{Q5
zZMi{HZaq&LXdfOkoWW~A`L}qZI&4tOU@J=cti;gYrRvcw2dC@PpK8?)SVeWdM}B3W
zf8&C<O{Es=&f-o0k9I4{9EUXRBLFk>li$0YV;gp<WBP5dRh!g8StaQ?WhG#HZ*lqV
z1Wh(%sthfE1wn>84-djKz?dfV$^=%(XgX(L5kqY_yHUKF9EcqIbF3j{bI^Z$<@}}?
zl`4kc2Nz1z6!3eJt4m7u{Wd~$`|%`O+jkc|N98?M7?eXWo7E4(Mh%Lu;Ut$*ZjoUy
zB*vn;bA~xx0o##=&c%mWg+nroo?GV+TWbG2nM>gh<cg;UmlnUv^o7$&Jqx*@N;Qht
z26z+a!sm@^<zC<~+%{hN0`yao&3ER^BU83ye2;$V`}O-$Jp(iZ)u{L2<Ernz6vnTQ
z`HER#b)$Ljk5O;MIy0K)0yA>-;zb5ug^HZ7B|c?BeRG_{Y9I>so%(!dv6p9aE_Cr?
zM&$k98<d|bM9*Lem~oL-NYWe5yv|xL!HC#e_c=#g{}WyMy5XLV?R7}MQehmQ6l%cG
znhfCW8}qqP3o}zMt(;4KDcJay-GKUwwdOhTa4~En+U2_Io{;y^;@Hu2XCk729iN0B
z_4D&IJ$(6fObAgs?ewNaLI=h#dmp|csp}R$3;a|E2)|It#Jzf3Mb>8<$HE;=hb*+d
zC;VTCZB%qzcitbC8wG8*P{|ymDYh~b{#$QJt@b0WuJ#&1a<NnQ$FpWs5y7|~-95Nv
z(Eiu7c%+RJP5ps=80o!mgo<z0lIoN5r5c_)Jt$D&s{TZoS#B+#OXB!xS9k*dGFeF3
z6hN8q(I^)_Ui8gx9B(@Lz47JTX)T*$id9G{e#p@ZqiTPa`Reu0BQA03#!K&8iZrKN
zDf-@+8BDZ}{fYY;8AW+AON8xr{FKtFBK%nj|H9Q4k+I)Zdkk|<Egk;7TYNU{{5(mP
z+BG_KNQk^mB7nydaN)03f2u!qE#}JQ(<30};0}QSkKRABscHO?o0&7*<+k53>b>hD
z!#ge-*S<}m>o9I(jr=5o{lg-cqF=2qCqkmz_^s8SGA_=%W)3oyF4%tnZl!mN4DCT6
zjV|52ZQv_|=p%Adf#P6jX7jFg2t*&ReXp?Fg<Z-l98fp<jlNpyLl~7OjND_W%a(P2
z74xQ(Q0d>rK|XbheSXI7-w9Zv8Dn$<jxog}W3x2U*5A&##pk_$o+&(~bF$YmD{Mt@
z!Fr7giR^c=IsVOv3|k^T_gJw1lP5paX>_HdUP7W)$+IS6bx*PH5UDU~<-V^dw0Iw)
zTB}ppu^8=pL<1(?Arr9~N+>I1spjLS``vhWAH-+$3Y>I{fQPCsMlzN*M#0R#WO%se
z+}w+Unc`>kw|_Fg%tA*#thDwbwtiq&Phco!7a?V@5bHUVyS8^N6B|5dfCFv5ChwSG
zh7&C)4m{NI#fVb&#{FLZoG#%W7^EcvUU6TAI$mN+shS^U*?JD@`XPb^gB&m#FSW7(
z8#EhZ`=H^)Yg(N73|}lqmPDr%LO0TruXvEt@$G<aU6RrdfA1is93%K>PPcX$>L~I+
zyEBGA6B0XAgea<;CnW8fx|m{iHCQUz*y6RCERJU#c*@4+=7_=>SgfDWXlQ8U=`j5c
zU-;o&Utdo^%}}m<MS`%`c6PeJt6dAno_BBDO*D8Mz9SdTriFJU`1l(sAD-D>(Oynj
z(Zc4P2i`vKeUj7!CuHnRLjRvQm!m9xavtvK`|n^AD1%yl=nEEd4$06-#p%vLl?o&5
ze6t%pKFmKzv3V>GapDzlA<<f?%lr^L{UZiioQvkQacZJ`Z3vVo4?pN9%X@$1gxy4j
zb!{T}p9-ZzV}joJRYPVmW@@#e+WIow+jntU5#`IpE`obsse54}uON^IPfbq`&CEoU
z`fS^r{nTpuZob4GE7M~5MG~fO?Vz~br&tElhC2LicW-_8urgl7J*bD5yLfNT364}`
zLMPPklvXdkPvWbp%vHNGXm@pZNxJreXKMSc;N?SJzvFV1oy?7M!+V#Urul&tF~q_&
zsS>xoTdW2bl_qicFv?{b-<jKUa9wNRTU~&Te%t7v*W)PkzfV@x^(PFx{OXE5D5iu+
zCp;WcU=bv<$kYG;Q=xT8pR@^?5GJ2+yi=I{F(oL*!cbo2lOWw@yqE;)G<Jet$wiLt
z^&N|<ZHw$DTa$q$C9GF_p&|{1-K-z{8_{07yks;3H|ebX6OnHG?Kuk1;)tyx4@>5z
zOw*xLhv6CWZ>HHUDanBAp1j4Y-c=JT8>5j!P!fS<S;bEkiD1~zt5=53kQ^=Bk~$(N
zIYXi7o%SG<HJ~8bx1(5#9bY6mhX0e3LRzD6InPr1MdP>1@#0anXH2j|R~dt{Iy0zg
z0Vw%{gC_R#kH(cv9yV1)th~@-@Dbyk5~fHsBONBMtkvdyFYVxJHhErW)jtJDyUDVG
zuF$iN`+RbH0=je3D)v`C?)8Mo9<Ob*4|e_tJ&xBRsZ5$sU`HVv)&A74GNBWYb6vtS
z>(z(*6o8p+Zj!N2Z3~>t)Y3=?w%8drGz=EH)DdURO!Sqid5u!o#}vFvjUEif-grK0
z+IaZ;1-dA2sfk>Dczy@1A%zD<X><cJ+{B;lmOvLQV1U9iT3#ZcqB)e#goDEpNGo1A
zAEkZm+TnVuCOU4Mw80Y>Mgu#k2Ykdqjkg#Rm-BFNYbVxUlTR!|ir=_Q!^yH9;ANWX
z#CI$fmNtbqH3@f^avYtUECCsxq`W+u@9wGZZprRQQLxG3z^|f#($8X!1h<QMLhekn
z$yaA9{8v5kdW$Y^?Ly_KWO27H$wPeR+hq*u!q(8{MGw;2Wp1t%Y5i{Kiojn$=_u$p
z07a|v;^Tehscx$&*+vM;Dp%xJ)De)MvKrF!<{dJ$xp?6|@vnM&xlJufa9V^#<z70T
zv~Sj9rsQF9cwmo<`v9EQetLO}3@BT&CIk0xzHBGYx7rgoidDY;EK;~L61C2{EYZW=
zpp|*Z8A9`eHIk1#@?{tl!7hIon6v4r=vR!J_thpGuJGZ$2zVz+m=^q{te7gMJOA~~
z*6kwWt)gy%ANX`Ek?VD3E|J}tTD;rs=Ia*~m6fyG;&?2-YBP1N`rQUh-|!<BQZHg<
z?6eVKz1t>-UlJ1fd~q?3<Na4dl#4LZZD%gB&hNyp<**e?EbhFA1P3QcPcSF*(gK?Z
z)Omc}F^NJ}-?Cu8PrqS#sY<P)->5RvSmt#}$vnbWeLB_P?mpYjJLn9DGDab4qhW)S
zj)a3#jH-xapN?>Wg>bzKkI?O}PJ8-TOQ>uSyKM25@v@odH6b0YqOIaMFFJByjrTd{
z&DOvTdSheb*@jkgI06dh%&3{NV#4ASyqjp8e;t3RRmQw7;13+;NINqc?JDSAXbB9f
z#ZM+H)K(1PNHkxPbr_v<#3;bSeN-g7qf15hO=J=i3Kd@8U&e%TZPoTs$R2ozK^qle
zgaZ{-X6%`^;P{ssPZP(}m#RyA)ppJ$-Qvey`zr0iFkClUwLvZPVYC|t=m^L*bsr_R
zoClAsq|j64*N*$ljvA}e@K8t;oWoTlD=N??2AuniR|}PBx4#m;7>X84e0{ZLDH1qZ
zclE65buGg>8N;TemVCrevNwUlDM|Jk#k_vB-zl2jM6yElS7l|Ylj?c#E0p=rFp`X-
zp3RhntIC14{iE`jM+)IatoQIKeliG;5wK%j&sU+?0EGeeN7OaK92XL90~hyEC`MB3
zLpk0h>8VNct;yEW_It(J)A3=|R@nL@j+u3F6I=MqCVuX{((YCgAI7Z>tsxnKNSH-R
zG<qW7L7sm58k+4cNWL}K2nJZ~BO{}r3=IvviWs59tA9?|M$zO<oZX7Z{5{BTKS1$}
zKuIxIfO34S^*W^)W7SeP`YyrzFdyjagdcl*k%4pFb&IxIdPVXi<BZn4I&UIRPC}w0
zSI`yhq+-li*+$Vqk3GFD!I37(-Ge#k*9&@%OoM<<7mV<FqHwb(?NFOD-&=0)=39Xn
z6Y=<BSQuNPu?sEht0v|onxUs=qzK2@xM)-v-$f$7SoKfzcexUxf$(~wk3q{-vX)g!
zuCb$RL=fTLq#w(06B9ss5(5Vti@_nqW+fOR!9Q3=)GWJ>mO%~JZF~`aD=flYI~A}h
zG8Vj@nym1P)~oTY&kaTEIa71U8Iy?ARy~_21%>#L-?a#gr2_orueUb`rD7m7-?>Uj
zwZCPiM)g>iQ$&VXmRXmP1s(g?{gD{U)@#gJKM5Gp4O?*A-X1&&kser-&Nd1y@*4WG
z)e^OVvhV)u<(AzPTuLxRf;#Ja=0s%cGsVlujM2wMW|kwxeci@nB4|&&@#F^P+lLNM
z;o$m4BGiAq1S}Qxs56|WhCEIN+-!fr>unIb-~-@z?4~|e?_SQ|3ioG-L}QThd}(a-
zsZ<JJQ~+D;cV(rV%Y6>%J3ce3q8ky41JtG;2&ZSA%GCQ<A}_ZD=HK%SMo(1Vh;-bn
zlrFlT;Jv-su>A78gy|$77Y8Q+G2>TAAgPVxTQe4aSGZ7iVx@%xZPacD*X65T;u!@)
z|DCl!)=+lVC^PR9UchOgtyz*R5E!gEi}+thVlCd}N;&_oHGcJ3ftDJ`9_dwCLSwA?
z%&$_zTlrm)$6~X~BA*05-4p(}hx(C;t<CYTB%HtIXoxvTvvng1BxXm{JLp9}uy{qb
zgNIFVz(eH^;Es-t7KU@=-NCeSu7@q4e{Df6;{rb<G;|+y+dKwOadv<wX27%BVYRh<
z`VH<lpI8mvcQ3cXUhW0cEfL&YmMjeP{B7uG(&S$Rf&gF7L88!7@VK}qqb{Skr{W-}
zgywu_00hbum3lT(QUatCBlk!B1K#9`Cm7X@Soe1lk3|vWSjLFAgMK7=bV^wwzL*^O
z6fqKG9GpkmOcJ(S$#$nEZnH{T`bL2zQfxfG>%RQx^vk$&DiOy7AH&-`4?jYsKzP@N
zU!{D=vWi{lDc)a3Fxy8RIr=uw<_W8S<5>=y&qI;3R;<LCTktsBB6vKSGi!*U>E^g}
z89a@>w!7QCwZ&Yd$prfJ96=A?Rkq(zbea9^>}~f8o0fz36@mbVr4*96-%PSPbARVf
z()@%CpU;(teR=XChTm&yf<gAb;(uZT%YEJhNu>Xr+OF45zu&*+sE?5*DG{-{MU+gY
z>x}nXhW_Ijp>6SO&~~K8n(iIawiBlR!+kUO`95eCO3Q_qG<tAyRZem`K8PE1ih5<k
z^Exi9Cl>+R-Y>R)OdsHAZN^@bvIff8TCw7u+npYky$RsYZJ1ovsbOSE-0qcNd0*YB
z39kqcQc_IBYn}hR^JOksUR;EYkdb)${hdC%8g?gS4xx|bM#>uEADqP^Z9@px{pIsp
ztE50e1q50rE{4yw1T-rVg6~&mBQ1vrR`v+k+`7b)q|A?Nc`ct5F1!@Ae>B?kK^Kh9
zL0a$EuOsdNj7Vfk(%2tN?~R*dTgBWgRfi*(+JtJqYt!H2<FuaZR?uCpyFe3TZstSx
z&n$|c7_6;foGgGuD>Yp(7;R+rOSpPJhpsnS#Se>bu}W`-BK^xUf11Gb8U~vU6LW98
zjaDm5C%mNY{{d0-$IpQ-M-u$8?&yg<zs?~YQ^mCq2^19Vxrg_H(`ve)7Po<@g~CvW
zGVUa~L{}$#=&ldS{wF_lT0A(o*UNOgB8Ny5B1bqsG+_ld_&x5lH^;OUh^z`3?MeA+
zF#4#m)ut8&6|F*B;P+d4aHvP_TyV<>4J3I429Y{F9a3yphL;9uDEIatABvw5;Bv%U
zMAIE%!lb5k5cO)aj#IWneZ&`4x^F7u4YBc^n5d${STOi@FP{9WVc?D8%^;zfHK$&D
zzWVxzTG;jWDfaE+DHSzHUmJXd^qWukp8MU5vy&;oNY04TbqO0w9*)3rwLBQh(yx#%
zMwwnOoJC;I0Acx@G8v{`gFu}yJ*K%^_4+AZBhb6NOq+I{?!J%lp6hX@YGqO6FG7mZ
zDFR>T(pxtBBUbu$x0NO2hEi>5Nb*k)-?7n1`DGv0^LxN)zWW;54)W<surN0&3rjdS
zIUk`dWgqmDyo})CVckDmv{|Dq<IY)2*kZ=KoaVGRc}h#y`Q>5XVpGiuK1$V8vP!J-
zv-8iP8#w))Rn8ty*I|Md4h7mp8vX|IhVJ{6rqLUSfhMG)NQ?WjyN#39`zG0FiLI~u
zizJqWQT1NCvUA?)LVt44CtuBD&HLw~Rs81NyXvkh10<+=h=gF&{|Q6CY^%4LD5CO2
zFfUOu{QvyC?F<gPt3JyG<`&j)j;8_2M9>Q-d64t+smvP}d#U0E1l_NA*~^>k>}g_|
zWp)Lw=2I!Fd3+AG`>-vKDqa689~F^D&y$zOGcfxDEDg!Jo%O3OCiSE<9N-AyQtD+a
z>#Od?g)E;x<m^%SP6f8FkNv@N$nU0rawqkQs+suR($d|mNYW}lL2xF6qvSIv6WTZ7
zO+V*l7I1@RC4TD#75;C}B}Y;F6&s_u)L<OibL6(#W(j_Ll&bM9sdzi0B1rM$lmk#S
zK@8-AzCW#o&PDd~6IERZO{|<614#tQr^*GWgnIf}vOW2`GYdM%8&W>xr@S%cMn4F@
z-OS2xlZl#+!~^b!VK}Ko`2LQBpk)I_Q2Pfk!&{#+gyx2n;vRF%Nyidoc$up|8XZPH
z4=?sqRvzaRlfh1WxhIcme4J?C7P4j!Td<%)2mM>u;m6<Kf#q7njqqLiROxQz`=L%3
zp0;E=w6A?cm|dpQC&w~#21N;B(#8`7Tt}Pi{n=gUek1d%q$Qg=kDkof-Y*1z%4En4
zp6@}V?Y+9t8}v?-6l@=bQBws+XmQx^em)k6Mn0inafZQ5`lt_%uP(!y4{&iEZqdVX
z3Q6#hs;*H?{4R7RFoofJ+QRj+-o07}cjYfYFr=BAQn-#A`2EVw(KU%FPi#+ZL7A@6
zz097Cr`FAc?sa#M4IUskyGBJ(#mj@^AwXk7A6wJ6`_d^AfioT=@ie-0JwY536L3J-
zBw`d-1OB5rTO+yzfMCs+Yoh#HP4{9U+Si0j54?3~Pqga!{QVz25%H^pPhSjqtKZg>
zP;4m+BXx5Pw0(z~VGMi@+mU+OoQszvsVcv8u+<5w*#k2KYlB>u1hTC@7^j)P>hT1u
zciLU&l^EJ0(;@67$ka9b<ZYv(h%a)f2OsI9%<v%TU8Se;tYWyZYMayHLF679johnS
z6Fgt)&Lm&4iA)3-nc8qB{eHKkPxeG~Y4j7e-!?(mdVa5~{5a-Bh6mvZ)-}9&v}MBG
zdUAk3CP{~Zpu;QPau_c~+2lEYoSQ;nJ%)gHeMD)p!JEShn*2wgAj$>lU<zROq;HcU
z{6ROx!pXleyDpJMsz=(mR^--hA3MJE4ENOoZ^e7rq{bAIEI^Q{#I3jSfXgX%TsV)m
z>mHM$6Z_GyL)RZ%K<%>hc&W50=ufO09E%Xfutn%KAfa!1%gcnzP~v)x7{lZwa~gB;
zG_s%*3?)xl7ta=+=_l9vxBd{F;~@V)1f$2f(iCPiXOZ$cku*kzM9A8K3_uIs1PJGb
z@K9;uejn_J!-@nuV7vM->|Ix|i*aD$LzvK<asB;sBKgJJiyn;zr&(?P3mQGry-*4h
zuy6B?UA4koksX^NFRv1S3dd2X+`zDzJSs0e_&VS6OOamldrJigx9m8>5eOrAm@7lR
zKhx`knzc{AB`4{_T6$wpQ2LMBNakm2d#<^KxNfGQ4n!nmo0PJ+p!ms2+6^mvbwx_R
z%3tMB_112OLq2FuEAWcz8xqYZ!k_F|()nLWF529yuM1RJWmcsF&$69uzAMJ=u~F={
z(C?braB74kgga3o0)j=R;lPY`?(CTaZJY<(rugN8JGctu*KoA;KChKh!xD2;VGEty
zUeX`cI6^929Nr36;N-xj7!WAwH;e|k_r!WV7C7udol0WO$ww{jjaWhPe0SAvAXja;
zd;r(n9by+b=S)3xHn&!J=)*H4wD50rKevcz4N$#TkJxXz>#sq`2(Kh@WL<Kk#cYo3
z0NKID)_QRFfxF4=kNCHOhs+;YrqARNhDbOsZTN9!4N_4|murAOCbEn$H+3jON&aD{
zT-C#4TfFmAm&uXddaEhb%pyA<93QB}0}U7wMR}K1pDeAt%~4h`UK(WQ@qcXJqKUFE
zS1*44HQ1P%(I_WSHr>x?cn|m+aSDoGwp#rBi|#ASWqyCMfv`gJCIG?^ngm2iKgw_&
z$;X#!_{SsVM~L16$usMKz9>6EuRuxXXkCoV(Y9E<C4%`gH@js}hp2@75aV<d^xlN@
zW7vb)m&N_lSBAFVT-vhUHkxO3f;NXc)hg#E(z>^&^?^I!myCqw0#-p1OJH5Rq`$_m
zYN<?G+#5QN94BiQ+6g~R6WzMs+ify?$xbV&(-==#U~J)|NS}pNI4ntt7(yK=Wph|G
zG$)AN6zi5cy~HslQzVOJkiY)^*HXU#E6`}A!SY+6vpG_dx>G6Gg$MN`n>9+96_lfp
z9ozF3d6$YNM3%1Kcea!p#1K}~RiCGx!Q=&+A^>*0BcSO&R>6k6FqB>bw%+LZwA{dc
zul?rF$Xmf{4xlHuapII9XtM?G^rJ)ZlHh0brGu-%gh{j-PA_6dmUO2GbmEi({<3yA
z3fJ6t7)_2O@=ePn;AZ^|U99_G9=x;{ziZ3-c6-$6?XC98Y{D2H{m+rrQL@-8-UJt8
zoFP=v;SmV+kIvbIHDBQ3mNp}Ey!bR}Kj|a#MA`4j36}7Kp1-=6cr=_zrrrEF#Z9K2
zwYi0BXvaAyC69YL_9wLG9J>Y+f(ttO3s}mY1?PcB4xRgpQa&p&_A_$~fj*Cb;`M@#
z;z)AaWeH18j{o?8-ghtgfjUaW^Y2eFn*+QwcYCcxWkCp|Vtz+05Nrruur7f{uirgp
z{`M8jvPwj@%HEHoEQK+FW*|Z@t6rTEsw7dE_i@RaS{NE5lUnO<(^}{uu2u9MW4fR|
z!aU1?2n6q-0nlaT(+?J8@6_}z1=4@m(_t6c<)-9J$HkDNO|Sb57E0bVQ@+-XpRawO
z=wI9;f%MTd)dueYt?vON@Q{c;?hNGyRyLv6>%d(8aK&tHesB+w_?w4smKLU|`K;SR
zO#ZRB7N-V;h~ragpFqjvXdHK=2N93^ixmt59b4ZlrxW$n96Ek20cIc)xY8;d=z;XB
zYs&GBL3Rj1VYwicO{RPZ|7IXVzcZE;K!W(`h%xhO0Iwt_<@ox8u~pbW7fZsY823#K
z%EX(eqOXj7&fuO52%=2~NK@(*cM84A;#Bzwc7rK96$I#j*fn<6{?q|lyh}7p14lEj
zzJ3KxXrYByYbMhN$vDOmr0;b6C~Y;u1i`thx1BXbkE+gQ`9>k2fS$Uh@U$@1G;K`@
z=A?ffzjwAb$MidU_X2*A);2t7-Y*L;!`O!N)yu!Q|2x)xnq(b41AP$Bc+-6e6BWrM
z1;w+5HCe%$+)8Jb1wTH@@;Z43Ow!{7cS+a&?-z7p(nhkRlNI3pw0CXmvQN(+!iY;+
zF7LlT&x+~!-G0|QO{EI(4JFA*)OPc~qPjb!ddhXNg<!Szvkz{7@Xol^CaMD2#T(hb
zgsX60Ffl3jH{`>bPabs~saw?N*a&PXi=bVG`abx6dcwvpk?{2iIIzTSTgQ@hM*E=B
z<)sRaw||Fwks><nL92;PsXUfGM;s)ju!@z>`8D($m<puhe4_)LT=jU}fo>X~ZR}X`
zq-h!|$RunNMv$y{lG~bZdkCI1av;FW#;qWA$(tjyKqieh<jjT*<mV=$^36TflP0$<
z%Vi>m%tcsR0kq|#Vc$~0LUt6McAT4g!+)}51+pF?C#}p!+^dfZZ95Y;>;MV}0YSy<
z130jCF=J=ebXnSdWfw#1EGPLBiB;!dQx<yu5ypZb?Yy5boW}SGP1V)r`z-Y`aCog_
z=2-&jtd70{7roDMOK%bPwS3XHyN-KZJ+3`@(>)1K^3nso+xy@Q#C)si#od&ssE~^|
z{F*2_Fr#5s+~LgWSk*F^K&RzovG5Z!gTq-ecBf%m8#MrOB(b`sxeC=&aGqN_HP+MQ
zjKxc{%25aM`*WDJ$X&nxiWcCILDF^G3nWwr<pvWoEwHs{Y&bUQi=lqgssk>mTc%-O
zElj3kf=ae*XVL~;-Qx%$W-DqboneTCORos;m2g+>zOXR>LEMe!@b*C^;*_Us9j_fT
z3oWGSVrv>L=x4^JvB0(BNlaf$)kx!gjwhbkd}AH@6ljwH#mA%MoLk@WPn(`_fCK>t
z!<7AT`N|OD{shwQKm%+<CXFv)lGURD#3NbWbPvLxiFQ{<8I13fz_Fl59JaOPv)5U&
zEe-c}_6{a|ChX&rdjFBUF3yk%YC)8&-{*ErZUQcKZr?e~zrLsez|77UC~_UMxMoTI
z3Cc7Ih`yeNuI@>fGFQ;u-Yk=yNdhN3o1hwbn2-w!yEpM#G498&*Otwaw&kShpA2|E
zIf?ehf2XLpuN3npK|`(xPlL1TJZ&f_<Yv%CzqdfHftajMpx^S)#LF|XBaOShEXR|{
zHvGDToGWt!T;(3(mUnhpdlHs~KwC1G1`E=EBrJb+{%0ou93+CD=jRK$b@>ViBnhUk
zzn8o#9~ww+Y*}R|obOGGa$0SbX&Vb1J%)J}P|>H-(QZ^&QMH09sY4#Gx;gN31j};~
zMONZkvM%WEF{*m*u;T-BT`4F|3SbiOsaLTnt>5fccL@l%3qIV9_NJMT{_lt&Lcg9$
ztp=&m@It_N>nT%0*gv5zV-DJ|!gGk<?Ucro%@?}yB2$06KMBwD0Hg6zmvd|yJNg$I
zM**B)@3;N5Nost%#`P~W!dy&(S`S#>v&XAU^!ZN*@wRldnH*OHE#kO5x{KX-h>QEy
z&6lJcy1$2%F!P8Ec?d&zGgMNe2-DYQ^tXSg)4Gn;4^1vesZ|DU(j^1$aHj<v^>N1!
zkAeDnaW`P}XQg#}wL6_H7mfY#yOux^Zi<KPU4Vliy7ewMEJFj$Y=NIs{;$OM9l<_2
zWCz16?Z?&Q)k1nM=hr7<7R4Q;nN1CuOiG=>+uQ=2HcwqgxBR<3FO7m6PAB4H&6TKu
zuqh%1v<#$?frgolSpe%ZX_zv#H^0x0c&M!ZM^ksRbIXsR$esS#FPn($^6Je_K|q7l
zhvN;gg%tYGz2=ePo^4_JrmHPiXC7w1C1M<ct{3FB5{$tB=wti+eG1yZ5RQ(f#Fgl`
zVDS{>>c2`Z&svcZ$h!Dr&pG<XHE9W6o^IthbM6B)W+<WFM^Oh8@Dw(lH`SBZeV?#p
z4o-K*g}QORpM#)Y<YmiP2j4D_*A=Y?WyPv*6}g$IHIgcoq-neU6SC&7FS1`mDSx@W
zGG968YtXdy{PrM)+}gj;`dGLUmNBV+qA<GHv#7E4Hlfj#^<IWPx1;v&P&NWFk3yV+
z{HLv!?zFMr3J|h+Bfs;3`K`5njxk7Yw4<SZ@*q3*#)~mo1$sQ`Y#PwFF<~7cVHz2$
zFr(UtaZ>-J?)&EgH1vUv2#F<gM4$CtnsP_{3wo*tZwg$$l+Q&*A-m=NtsPwrl3WS>
zniKxdE|YJuUQ7r;=G5?Nd_CbIVb)vm0V{UG&ca*L?NYnpn)3~x(vt;a0eX6&?7TFY
z7Fo1MrHkaf?C1r&98o{j%};rmhGS&x55xlaNMoT`Eud5a6pn~-qq;MAPwSBGH(Gwc
z*^~r$|Ak?IF}+=O9;teAu0H-?-nz0;Jn^c$Ow+V6+eC5zRG8oTForilWRz4L^DFU+
z!-Fs?OBAS~*{zXL{6r*;t~W}W@c-HCP9j>xQI2;W$c^*}pP!&wMjeg`44#)!Y@d#|
zx?;sQuIR<zj>r10!B41cb{tZGL}ti(i8T7}P&N+j`~@)pT!_bQwY{$Sb;zJE<o$9|
zbo=-G>@Z6i^~d+toWqv?)RD!VTj*`)=Ow}T)P4c`G$$WTjU^@916R>lEnkK|3eS_2
zXh~!{o1W2RK9*lciawoUS^J?Y;CLgDCs4}rPrSOJN%VCR%5b5C#J+cf|NHBHn<=#C
zO?@e5+U3<Zo#qBAc&;JZn?IF>y#2r*aCg2ScT>Jkr(@1~3W3&<YnsJi`i^%HIYNtR
zJguVSACfaE!b_r9Zn#3FVkfMxWpDI2fiFS1{6h1>aaARCtza@eUZG(;lSw`)V{7J9
zzCuJ6Fyq#BhD2>)9AEH28wOerOkvD3R%cvZ)HijO5c1C?>f+H<8A~#6XJ{{!5V2Fk
zEUU(=JqDoz(TQZj4Ama3yaIwBM121~(u;?L`#T8kq^W3tiza<F`YFcyl>LiU7iJ3C
z36>z{C7>cMTF7NM=LOaF+3$?l9`hCVd#3W)E?vlaCKC>KoSXj1U_$Ze^x%rUQ9?n7
z2Po+RZE?Ipsxos_=p$t}P1-Mgt8(<X21)Dvildl6u7q~e|0BQtRZIDhihYPeY`zCB
zgl#}<tqWtz9*t+mO0;_pxyI%l(KX9NGR!xOl>^{ZycgO1bJ#LB7A7liJ}`UpqQtW5
z*XDTp{_k#MzYQ~$v0}C*V$~eeyIq}0b<Q-S^rjh^^R`-n56Kqy=+=2n%H#0@CVslG
z;o|WSSghdHI=%wsZJ&6l6sO&eE73#-v4@ol`#=n$=(2O9z8V~4T5NNS?2rt+<DI*8
zsV4fW%>dcVqj$V^hJzY2IvH(N|NgRUA~NQpZbFyd*6er87=;BYAIc7=%k#crzyaGt
zItXfpV#9AF*wY%GbKr`2kx{1_5^2U6&z2KKS*8bX4`GRZ7YO&tQs;QQDY4ScTl$0x
zVx<qb0eP-fN2?WT&%kl)kt~mH*_gp4`#xIS)#l5s%0f?HF;v7hS(?nxB??<<VPE|C
z!~fu3_gAvo<o4BarK!xQ?}m*0oW~;iPqWX?@%yhf@Yz}xgI@3812$U$#gjlF9ozDd
zmeQ8<rZ1F#e+v_qTp`T67YWCP(Kw#j(HeR@1mz9R>8H^|C((ir0XZc$`8{%6R97Ry
zh5FDeRf`pfD2d5BD~+)(-V4<bHiR@Sa05LQ8o7~WDd=K-p=I|{deq{1ZL-#NW7wT{
zdq*d5sw4%-4e3n3@3{V;KZ}1OqNo2*EnUw?N&C-FpZSh|IH33s(lcHh@!cM{lC*UH
zuOx1{vi^R0+~n>>4=Y*H33$z@by=JCwe_afP?tnJkRVz{A;Q9mlO>=_W;w|c@CedW
zm);=qax&dJF)QeLhckcdMBv;4_Yrcb2`wk$D@w)Hsv2m|G^B4-Z*Xxo0`{{riCSoD
zaC{h%^ISiJlTN^r9zQQT|9!U}!9&oIkR$=L(?h#ZjSdv(zfQ2<a)vRv*|JwXg<5Z`
z{0OJx9tl$lEJQFXpdE7857w6A6xUmuK;QYp4e2hDMlWI4Mg5)}kzzVrtPU_Ao-l#7
zxUO-)u-#ZAmiYIgIqFq)oqJ2j6Tnf+2FYutTM0^ICizjnL3`v|3RO?vxPEG#vetTz
zywTeBdSd&{sUlesJVnqonVnR%3iQUN&l(r@4eOD}j!T^D58FOkmbUBf=KaU<Ce%@;
z5p(9!DN9A<_uQU{r=3kiNhx4R4!UvrXMPwN906^ZsgHOBwWFgNecd-}PKbuAm%+kE
z#9z|Rxs!p7e(#whP;OA-;D4Px03t^Bmx?L?BYM#PExSHvgAutM0hDdNHb-o9l#wvH
zd&d{@ftCZ1b$=@#FO{v#U`3Q#U0SC#eLiv`$V=9V`-{G97n)gaLKQoqv)dJ-OJtjP
zz^rWo8oi2jm-eJZE^zu&`2s%>v1R4uq2#MSf;~4WeBPtH^5m0T&fZFj!&2Xi`Hu6$
zRSq7Dicl9<SJ=eJ_B@emD~6x5Y<1RS{*B{kak*&T%YP`FT%F<S;DG1cyDB$W(|*p)
zM=rbAl_YzV_K1={rPtPITqiin$G2!+7oqn3cp0UxqWAJE-QWKg=TPhL;*N6w(=vMg
zG6LUId+&QvH31R5422d+WbF%KQ?R)=46KNEXPKLp*CT~j@U$z&6+{8j!?Vum`N)nS
zxg5TrVXQxoQ5`?DH9?k<M?-+}lY2cEa5-;AaYK~__YtL}q!td(!J}X7oSdrcjuYeK
zp?Mj;BtS8Tg88JSE0PrFQSjcFo&yy&>cW0EMfdGh#_eH=2o;A-%iJ#{t0wOAjuvLP
zg(R}bvucWshQI2}21JkRc|zy#9z-1XoA|C{XjNj6d6AYmDkD5eA2l)y{1&$tDQ$(D
zj~^#J2bj%IG5j9rgCi__{|ksQnvzlI65l(55#7)7{aI`iDO_Q%83f_T&bQk!J0Xg5
zQJ@V*aSjtEG);40C?OezsCAjIHaTxPF=P@7&RHcu^X*NxI{-M~C!P7`GC8)D>JSRz
zScNsD9Xvyt)!0Y|9>+eL8gB|I_5RC*gcrKJyzIUl`C<>$Z(9>I@^K=i_G<@xFo9^Y
zBjb89V=+H3UAMp8@-w&b?#X-gZ$P(|wwZW5vAE8Ap`^IbmGqF-j08?pleS`OFViW5
z!o`mKrcI#&{;Vte$O^`zT#zi4UOfiI42$~VDP&j-1PqtT25Go^h&tv!`!<z*^H3k_
z__d<*&P$^*qK87wQ_6|>74_3YuPXVthHA^L(F$xeY+RdQF1n{T8PXUpr3(FD9y)vO
z8_Y#Fy*BB!zBBS3lF(|oCv!i4u{B5d9hcq^2p=X5EGXanQQp~r_K}qRYNWKPYq@nZ
z#rE@Ho=w(YZ9Am+<pA0~xO2?TmY#bmBeM%V>9H-fcg{LA5t-U43><AbA+n(^Um%S>
zpbGN$Tzmqfs5<l<;GmzO;)y1Ayo~pgs=#Q`@83C74(?&9QjP>3NeGR&M{&PX&*b~=
zOR`8lyflFVp6ns0z2XN+Fl5A?E>Y)&qi{YiCn+0yC`k+)7)$`Fm*)Y@#lrN=g*Cqk
zf$gp-;e|>PyO_%=7d3q1#_ZEQ<GF3v`E#x)8F%JZYS`KX+E&U1NcSDm*Mde|9b|<H
z6}!4nHlh2io(j<tgI?7Bt%qu#Nuw8gqfy@O<cUx0i3;)T9%ldCZOH4UE|B;IabjeZ
zjWeG15wWe`4ZUHzd5Y_BgTAk2_#S+zYIhW+%NFX_WD)?xAKejgxlyJWoC(<Xp&<XG
zHZ2lq11a#K4=C(!kl?yPzr;gikNS@nro6=*OHf{zWuta<gF!XRKh6Y_F28-(%wfWf
z-00}v=zHT-Egq{y?_#V$Yg^=IV%CU8(JJ;rnmK>*Lj5^?=EMt}R`ut>i<7(|mdoz-
zZj4S1im_#xtZsEqmVu<c(RPx!nILXt3tXS-e++M*KZ~4iS!@s8uPpV!pg3zm**RHc
zni^`7y*k`&jE1PdD;2)KJ%gm3{S{&<JaONbd88FJ+tHa3ZER1SI62o)i7Y^2)7o{p
znaS{%4?JuArWSYH!FUHnq-6%n57ot#x_lODLu4&{{-hw?16gi#s`3^aynM(a%}(4g
zx?Whr??W&<G7J0hDfdy4yx|W5BS-q0`X)5%Sq>{ZtC3hYr?8?^9?`#bVGd$4qdJOU
z^NyygeBZ6b$2?KjpK?>sR^?)7Yju=0)nkv7B~ZBnX>UGHX>QH9>d7#^y}3REuXcJ=
zV@2jab4o;&$5qi<H8?m2mTW|3^hR+`eYNdV#&%n-7p&hZ6D`6BE9+DO4uBM{)wMm{
zp?wtuo^3n-!UAVP=u<|?>JLtg6k-~&f*w!6L5m&Cw)-dgj#!ts-vnT_?Ze7JXV|n!
z6h-RP_s86$5T}caut-{ySR(g)Dy@_%SMo3_fikmmHXH={cgWDQtx6l;xx0>wJSGr4
z1DFv;UNJ+xsYx17dg~x*7*fGYccG|lcM=vo4{u8xyk>OiFy}otS*~_=Z&-msx#_fV
zw{`b)ep@`n)h<A<IE{Ti+1vUpA>7_pl+@Mcw1T3cV(cVhNk)3h@d%!bM1*oKE%BSV
z74g+}-{-bR?>;|z^+2DdGxaEmnAXq_V;_W9*G4u_NU8>fBoX9GHHyG{3TzB8Hn1$+
z+_i4dk&8bWcp5f$3^hp4`)<&D<Ae(V(}&9DMiF&%FR@<5|4)!9_g!*l@bgE9W569;
zk*^kbQ8O&AGXt_p(b%UT!BOhLkUl>j@Qa#1Pn&;fXUAgbzKB#&RW-NW4*#v8V{yGz
z=W4%Di=9BW%_Md|2g{+0OMv8qTb9mqjqV?RiI39Jjo(qGPVN-DeStZi-O|9mS0DdA
zhsfdj^{~GHWv4<|*$I?jukfi;n^@&=nFU<is%|N5FR@-uHUuYx(Sh*{oFZL(8U=Uw
ztVSh?7nk@w1N(4?ougTNHJ2r}e7z-2(L2YfU~xx+@jOC00n&$^3}TQg9y_?Vy02mC
zS}!MV5(7;@-(=0MipfVJ5VDR-zApNT8|u(}&EtFO=0^l1=JPiv)kAZ0zSUSsCSyda
zoesj!4Hin3(3duKihBk`rh^q-Y(|nB^vlg&0VH6&aQ*C?EE(Jv?bj8%CE}~XBGzN2
z*ZhwqazdKT)iM7ULVkB5Tj{b+yYy1~R2Y47`Ps0}F!1WI^e*+yONGcRw%?W&e4(C$
z0&W;D+I(cz^Bc@q;$RNQiH_gRv%1BOrGK|p3>EZ1^Tnrm(Nlwlbn04(=5p!>ecVbF
zm#J?`U0&mcZ&xY-F~n9=cAOR`r2YJ>iHi$2?67Pn$`<V@SVMJ;Qp@MP6@owm&j^qe
zMDN;mH2Y@ZMNwDMu}S|wGeY?yikIfDS5LD!tpXgsMp1|#oZ-+aXCRuQ1?GNXDBGH{
zqs7H~^8ULc-n?xx+`R=#ROkNx5Z;xiRy;=^U*TwNzoAjZsU&E^62udqS4Ujtz?h}s
zTFVGGF{TUGmNPnV)xeaegG}r=nTi*qZC6SqWF=^Xt5eHSJMzw_>l+wE!k!JEsIVHD
z6;>xNZ{i)e4fWdIqP$uA%k()aSFVKHgD(jC^BPv>t~p%$Crc{lWs&4ryVfotjJ1hr
zIJd~gAC|HeRcG?Z5Odu8!(AGWD+bl>Xfe{Yfl0PYQWJr<*kcIMEhh`&F{%AasSLAt
z_uc}`9RM8=6WW@fcu5`>O(fXVr5PVDvsE+|Vd2JvZ?*l%ny~xAJ9w!@0snf016@Iy
zgWb%V0*&s`b6e7tLi}lOv{8tZ>d-@qLVT-87;1%y`jfbT7)D4)sK$96mmEAAs&KiV
zF66bBuk7>4$H(WagI+kmoD*URoHOYQ``-G}m6a8N^sa`_;4odN_GS;w&JJIcyfpT;
zK5(@yV!9=q|E~n}%c~Mr*_I0y?lt#`Xcsb#7;{60o-6R-EHK^{e0E%S6t&CA^O#=U
zifQZM;~Nz4@u)xokqPknu7uUUG=pB3&#6b}2+7L{8Hyf^@`a}P`#>gdS<iGV;6{2n
zA_0C&7=0$Eqg2$bMiOFS=JBvIVEu8{GrOK?k8MKOr7Ipw(8yVnkgs&=u^Ny#H3h)c
z=wkTOULeJlanChum~ImojK16f!8^NJ74iFZIaTdI(R97-z_z-`)qA$Y9MsZ$zW=&m
zRsad^tTSzM?^4<MqomEjyS3z&wFKZ}QbiX$*~@3uY^1w|MR){Nu<AdwtN&;KpE?^J
z)*b7)s{oo%S&vdcGubbeVl*3?xm!wFfx;?zf`0~E$dvi?t<djJ+(We}KCOndM^`;R
zzJLAFH(T|M-w}q^PQA&QaKJnl1*y0-WqKSG3sZ0jP2ci|r&NDa{rL0?5VoG^5>0&v
z*HD<q+Mr1FYkf6c@y|~4E+R_}qO-MI!H}<XdpTHcOY7Tz$AK4Vg**m`^UH0c?AN8P
zJhpI2vCR^G=N%hSJG4-wnDf0)=yhshsBZ!hWXJ?eE4VYfuvE(FZYH-usiD4%XQ}SE
zQ$Xiu`@L%%ni>fTS^S}5Sa_)au4-Z5SK5p&mRBS!2Y@o2ht;D|$L@0Nd$uz&jQx)x
zoj2<YpaLF7`>90rXo3KAJCF|!r{6f)U=-r7pTP7-YD2Unn~j5}57mU5bH2%91g_={
z0mL;4ePdByIvL#W<6E&)5ZL(>jUoxbujfmBjx>!-ns9;+>8lLXKU-Qnwn28cRN7ci
zf?US!Wi)MK`#-{U@xOWsx>OU8sSxS#;=3ePi-MN=Cf>9zH)^u+7x0)ljVAV<^0*1$
z*S=lVgMzM-fP5KFwX`?tj3k?kbEzNZzso`Mr((IjycULPcQZ=LnE?r$#zhJi6=H4(
z^_l>2%V4L~TJruUV<*OmJ!2vMlZ(Y-C;W3}$c|!8H(xP26=Fq`VRp{>8O}E%Hn^!a
z`r)`=7@KoGQu2p4fp_@5DggpjGKcj54HGH_4-#$lC9Ta+G+`?K(b~T!hyGUZI~=&S
zSve+}7tyPeiI<~o(pz9z*J>nWP3Qip5Ev*eoX}kkO4A4@2nL<_8sS7=O(D{%HI5dz
zK6&tA{eb5ichSr=%b?h-9ur+*CtwthaMHy9ZNs23Uxr*D{13zon+vF)68iLDZm8-y
z)OfN9A<neq*hwDepQZi<<pB=trhvJH$|FibKuf~7A2}HJBWXEmv87v$;4;i#;lcBz
zXB53qKRJyI*sP@5dXVY!Jl%Z@c1$0LO#<_S&B7;q4?EAtR{5(VHNxrcMr5T#d)KkD
zyV_wk(gPAUt=(Iws&FbKsu5$NChq~JvXx;4<dI40h&5gvX60%)lxGQ=tx~Elbt1x(
zU+}2P=h9@>4;B2}u_}6p|B~GwPn<JBllybaEGMHql3ZLc#pBacB*hYoidw)5T1lr^
zB23L}17%RVS)&hit~PE#)Z*lf)xh<-b?4iqF^%x;q)Pk|1YK{|iVN)=?f(1bNJpFh
zPT0DF75_V7^Tic=8ttfLqnME-b<p7mrai=WQ;DJBZG$?U^ESI~GO*0ozjy#~30H#n
z&$sv5@pD8reSz99_5B8u8jelb1+~lg9n%LiKe!GcS9nfwK{_>+1+Jo`eyCbCb>oT|
z^C!z;S@ziZk*Dd^$-ROvYnp<Vg_w^0UiH*`mMD1NS2#ob|IWVpc?201Bb*rNG7D7L
zjKmIVIP!Js$KuP44o2Hf_8v@Ng6p&E`(tkS`gg<cf613R@pm(W@yM6V;)@T^gDyE9
z6St_i!v)4ZQ0SshY`_X#68%umqL##KlrynpAD{>=T`bp0|8u1q&Q+Tb4tg<yaKRK&
zr)m5O0vU#?G2X?p1Gi(<e?8TIQ^+|&^3l^X-sh6|SrOJpV4RL;gA7>1*D`h>hJk1~
zRSv>~Bf8PSkxjDyTQ+R1EtEqAUmJ9wg3CT}LJ>4P)T12rDd687`uR2wN-itOj!&#D
zLl=U=@p!%at@*bFQNk8&X~#4hAO6gmRxr6P{=;Zh@~DRxlPGFHlD4(UlvACUqcMMY
z?6k%+&B>uEhD?A1GF#gjJ1hU$X#J;%{F?o_JMubR$-L_Fh360;uUAS)e#luRhN!(Z
zNma`S)PyRiUbysr{#|rD55$%)&VY4dS0RKNPnQ$L{nGf##e#KDO@MJ%UXic?qyRC?
zGGKyT#V2kNb%(>@ZuqlZV8;#ex$Mz+z5IzaeH2N?*@DK8xn}M>=}L@JP6Y&k`#FX9
z2AW9QmHi4iOCiqhpnctpoumJ@)QjFZV1M)FQ9A0v%IIY8e0IA{XKpA-*?J~&O@VEv
zkZi#lU;so@eXnSvDYy%822$a1(I|elm<E7QJYqvb{(g9>OF4|_A5;V_t(sseA$vTS
znOj2<xEPRHwYons5m#OQlc%CiZ)n3_xioJg(ca5Ga749^%uNinw@bB4G_eRW5Xi+5
z(cAT9c4^nuCxL9c$=Su!LgfRRujaEk?t4=$D*9myKd!92aIyZ7mb#0cG!Ff_!(k?X
z>?Ay%9<iC+-C!gwEw1BNF#Nj5Ogcu;74c$Crr)<VpSa4II}0>&QB9Ib@{bI+-iIX6
z{3un_{rhnUP2jqD*1iw>OmyZCY*o*9J=5o8kvi=<FhsOiKAL#6+jOWA{()W?t6ze{
z?E|A^o`#_e1FIbKce(ws``ZrX|F2xaI1_(HZ&wr~M-}r%C@Jl#9b8}K+Q8!IgZzb`
z*Qi9E-RMvz=<>E$gdVqs8VkG~1haYbYu)MfB>v~XRl{8r-#m_vG+|G*_li2Q#Qgxs
zjHeE(Q1_t~EAh>&MP|hkI)-;vx2%FGNoTfTXsXEdxvNI_X2S`HTi)-6AX24`U*o^o
z+_`x<BHHp~vJY9i>Tn3V$}bf+;NUtLvwhsi_)pJYm8aXd4sDpG#!rU5!S5;0i{<x4
z1pAkX(&co*v`rdOiE~O3<Z_A-Q#3}Mwm$XGYl5jw@<jtrEjjSXJ4C;V#A`o^KsRRg
z#N$7DUk#NZd|t0NxH4x<OE{7cUcBR4Q@q3Ni~K9wnm=T9De2h&0@siN>CtupfSiZh
z{p$}{go&oC)81;TBv8XNI{K_K7BS&AYa*8DY7dn<xTZI!1=l84rGH^k;G>1+5B@Yu
zjZb<=^<}okzT!EB$fM&nK2g2T)C@puEL=eZ3re$oaN*6+Fw6S7d&UbiKK&)%lw}E6
z{PDJ*BphMU7hM_|XM9P1u4HZ~hP;0`ohvnG&d}(9z^i;nJy(oFAd^>+D75PL4@<a6
zLobW#j?0w7z1U)mr?>jMcRHdOHW`@c7IK4qp@hut?LkQGg9EK+fkh&~L@ty-iO!jO
z6u<;a*&`KH&}KPe*C$Px3r3wXk)@Swiy%%11eR@0AoZwD6?6XjACqLa0i&?GB?OJt
z>2vc02j~g&@YLkz`txfz?FJ?{pYhb|87Iismz!tG4QY#T)E|5BB>oh*sn3`X><<|(
zX=u=c4MQk5jQJ_a{ITPBB)-O%-(P#M=8X()nXfzsKlzE7fiwZ_WNHS_;1qB}Ik<J0
z+qzhB-H{KNHvY>0z=ZEv4tAMu?}|ydMxna2{@`A98ucH4sRDtLD+P1Lr?29D2wZ#+
zAtC(*t$4xCT=r#rA+g;KPld-+`Iwq*=(uiW*MRZ4g;{>lA~VMX{=?fNQ33q;6*$;k
zNpOG3C|O6x?)e&2P3f^~$a`&1e^0^uBL>#*_8m@T4fJA`F22~88EKLSe_){zubc9H
zYwC4k$@Y3B4p!^;VzfAY!(Y<(^}M@*KxkmlR`yVADmOk#+x6pcbjkv$PYr1Unl`jJ
zBgF&T<jeK*L#R58rKj!|t#|z#`A3NKrfUM+0XL^~vEif{MGS-wi|aQ)rQ-o8%ur`g
zC6I#N3*k&F(C$Ob($^g&wpkljZd9<}da~yWmgIvaUQ)n1oHWPxFF1n%64xgnrIS-2
zwDn34gUw1csLCE4NrYKezPhbrbz8~Xp0d&VL7(}~`Tqr3gOydi`&gZK4zpdf$e1;K
zRmG}7Pf(qZ&pX^6yzUr5U&MShdP?fp;I!}PzoHBP91IXw;eYYzPuA#v+y!#iMI)pD
z2VFXZ9eZcM%8NV-{Ut$g9))}i7<44e_3^c@P$!SF0EiVfmxv1C_cNH*@x+X+8QwR=
zKR`D~4JjeM&9qfQA|)@9?lu%@aEYSMc$xrO#D@-0HG(}C8vvNv&mJr}{ksJdh5+i-
z76r5QV$kr%&hR%x%X_8(HaSKs6f_?Y*C*-7J2D8y$g+lv4#rg%e%G{|N-r<OAFmw~
zkNwE)jr=$A-yo>}H~QpR7b|c+1x?(iQlzk){uM~=B@d2dDanl{@)^o@nkdG=MW6P=
z{uvS}SqLWT-LVz0HH;@>!<Y9Y6`3!IB`kqiv+%*UG}^C8b!Usw#C3)@pH<aOFI4c3
zpXq%3*BtOyb{wgzq%RXNcV>-FpPQp<3+yH;svo4BJa1WiwhcY1a0TmNlBUI#N%LZB
z<XOU5YZvFc{Cm7<B2SM~j3tcN19c@>{6ELxxgKWY2s}(AW2b_cBer<#1KQ(1an*+c
zBwV8qaE~u+E1%Z>>C?S$lTp8E8*w~JOKyqe!jtKWFk$>oo%uQx3s#%AIaJ>YhM)t;
zKbnn!K>{MK!292qmI3Btq%tWOV<;!gMUfLT-wRgT{u9)Ui#`b}zCrEiI-E)mrAGLy
z*w5-AP~E9kwp|PG_6J*?dU_Q^n3ph&=@nO8f84|yIT!yx0gH`!!)SI*0v5GqwNMJv
zHrW6P$u~5G4Sfuhylm<;QPF?@zv8|+D#~yDcR)}|Qd$s(AtXdVIwh1=I;0s8=|)gM
zO1g#;M3Et+yBjG9L0Ve6L8SY)2fv<k?pgPb`^R1PzH1f>bl!LGckie7^L(BSRC0(C
zc;nhTZ{Vf*EAu>8hw4{MxM*`vFfjG&&o5LVtF3e2R#==@FzrmE*?(+J1dC7Yrpy+{
zx1Wr${n>Yfpi(47i~9AxClA%aFN^-umMf@yDhC$Z>IoKF{^cVNn^xety}I+gEZ|zQ
z@{fZJUgF?W0?8M8ZheuR|9<87YN`q*Frlz!u;)fE34y)YT229%YpxXgB?``NLp^hH
zeXj@(QO$^CJ()?7o(YD084T_@IB_Kyu`76F`k2%*Y4UcKi6dC*xj_cwbmbIo-K5An
z0b;y~rG{fe#$^w-#W6tk4xLW?OwNC-wicQG%Db>967ldMVX6>Mq1?BBDBFy%rs-&(
z&f^J&{qCA|ueVjMl#jO>DV1;-=ac*oR?sB8`Q)rJEc#FT22#I&5Wym8d_0b!pE%3%
zWo`NMUfoe9&=CYMeisp234aCf-%Pt5Uv+n+6Ly$hqRc1Gpr&v_RR@mejldIXkH}Hv
zjvh?x24TCbvQ?*2*$+ZK3&m-&9|b^`@%z%55*O;cQ-WsKpLFaK6;i4=g<9SJUc|qs
z^f}f*KJ!pDzceJAAN6}jg(o%Y2vGX@g?NU8_BRdiweJF_5c!+_!OgX}t)B59@H6>b
z)rHsk6u-&iCkTrkNEH<5{6GaoMgNqr{e3dh+ETS;K|&x#Ho2Y>)IN0*ujx*KT6UXK
z>JljVs`V<W_NyyFOf&%anUA153l2f{FO5I5x0HBx0PM486`z_7zk$bstmZ3Ng};#P
zHE}Ot0m19^Ao^}n=Y}6W2JiI>ReIF&s4!Y~Qazlt(Qln0o(^agL6k6C_3a;ceTG%m
z0BTbm^=U+I5J*mxVFLY9<ZSB$uLSc5w%`RNawt*qFD!LO|IhP}cufomebyhsOsm%!
zghWOZd68g8^@b~;AMT<M0TW}$C?2mJaRFQTAxcn@b&G=Z;nhjJ?h5ei%{OMJt}Hgx
z@p=r=LGpJ%Mn2FQe-ZJBr#Mn^dm?1QEn6Gtm`<g>4^4VYPkTJBp(@6?NnKwg$N@^$
zy4nRmoH<%ivi_G?o~IU}$gY@b0_Ve?-US+FLH(x{wtnSSVu@APN*bew=cLViK_WZA
zq5BVb>G%OI-m)UGxgJ^A@=PoYtzju(pJ-iI^eMaE9S06niJFva-g?a&F|q6Ar^G|u
z3DGr<lxxFVXF1XkRT~aKGcDugEfx-2<M`D%HCTObf@}l-dk_WgOsG9W><cS=C6ocF
zNqKXV_Gpkan0H+-3a(j~cO69%Rr-0jN`8Fb?O-Ieob<y}H}kitKD}`7=;FvPvR&uS
zA+B|8Dlx-_)tcS}2m(_ekN$sIto*nYJ@k1``mn=q^!B1bFSWmo*}3WboLLBHOrr{?
z(fD;#_32U`1*`D3HrORPNUDD1TKOsW&{nssi=nTWNUZlKq{P@zv_@RjHK0B8IHN7X
zQB_|5vEeFQSoDN=t=xW^Oea!LV?27fY*Rdqzjr<2+^_}lqKY#>sQ@jht%f$)&m&_Z
zOR;Vsd}uM0aB%SWhR}y1>#?L5#n{pOWshL#+@SwjBYB^K)pxWJ@R7&KR3Q>8W4JK%
zhW&d-{FK41Cwv6#e45phSFldn`P$@?5(F3kka;bx`)O@0y-EL>Q&xdbhSiO{iNO}F
z3Y$PZwNgiBDfL-Ukb%NR{M*(e>sAIa71PP!I>P}b7x`EH9z#voP-VvG<Bcre!p@tC
z>kRj<5THl6M*=b*Qs2I>n_Q^JM;uZ=3eor`tZ4wU!%1o@0N>qUe_tu-D5Q0W5v&;U
zU+>ZNkUduNXN^j@z_f6n_WiihnYE`sXI5n9&rX6|Tr0YOqYHMxq@zX__UXW&8>H3Z
z+1S%vO33(>7@G<KLXF>?NVWcf(P^S{8pFiO(-z?b)diT5e;cW&+X76kCyWE@47~v9
z-d|nB4VqQjl_Uo};n!$h&EME3qC`Qw+%nZC2>4{MsZ3y4jj{imaYZfW_{R7q*n{f|
zqX!_x`o_Y((ivfpMYL)d7{L8M2H0{|GFmc+4UUKiQoJo#yf7^|5azM@c9XiUXq?T;
zQyN99ED749OiQB*8@=kxA+oS-f$SQpc$*3G@#NYHse@s%*|1>w$JMQZL{rrNf{KK3
zQ}bpUJKnd35f|Rza^k^(_vu744wa+QmutxQ;WGE8u?x|zo<6EgUW0FAVV}xc3@CJ(
zmM*Rftbe5#PxIJ#IZZsr1YNbBjDQt#j%8GU8M*j>kWWH0F*OxFYVhhND0Bakp^$K&
zhsV$J^k8-Z93MH-me7@6XXliKy9UeRfRaIHD<{I}MCm{B@;WELfoNrI9CXfi03yE2
zC{vrf6E@Uf08-Vv69(294;Z$CI~_ghTQ?JVN#c}f0Ou%nD>^7kUm-G2y_mBf+n&1s
z?H+FfD5PJ<uYaAMQ&3Xs{Qki|{qox7srRLwcD|<dWEBw)4^OwJ0F;}ub|PftL%GG&
zi?Ygq&+`<Gw346f@O{?lVMtcngPvLQzT1$d+2W?gY|x#>Sz{v9{X|-tRIX&qXmcFj
zYSi^-wc&Nh%4|`wfr-bjka16J4?4)E$DOiuPjF<1a4>xjR`8k8>UgvckBY4=*HoY+
zK(vuIFWYFHO}SW2`S0`$1=`d8NUvL{oRtdeG2gK<9g*K(84jIGq~T&8b#I82<2#EC
zK~R#qBaEKS^PwW1KM_GLg@|}~^X?!7V)ubzaAad<CE!~pD;X4N5+zCtOqKwfzUdx5
zV9sZ=>2UN;CD4DN2N7P0`j_-h$)LB0*)wwX2{($k;E5W#(P8rW7pUXyeh&6i{w=>7
z1k*dk@A>Tvwx&o_Fk|4@C^<1wTeKOy|6QF%O=?#0*=~<4MryWzq#Cdw@gxus!&2(-
z)sWU2O@dpw)uWFA#)6q6sAP^5xqiwJiFSWPVJI*#ss=$@H{glAR!$rAln}TVQ9>>z
zvlSQZiW*3>Q+#cpNdO$=dNyh%L|af)b^iDi_hntr$yrc*i%DE~`p-<(p9~V*nI=ea
z|6*q-*8`%CJ$sD779!_64cH*I(D2Q#U6~<z<=L_?EWzMDN?2YqrHQ&l>G(>ReRH!Z
z<_;zVbSD95aSXvPkGWN+5<czEyrHFd%zZy%p>IZUM%#Cw0WE%WS1sACX`mmw(~@J3
z2in#4r|SPt@<By#OHIuL=TGh4o{O`fElsstg4#R07q>qKn;v!Hy)95Qt$KC6-v|Wh
zu^{-Bq~D%-T5SGKHG9U9L!B%mvillE;Q%qx$dkj~BDGBi_c3APYwR6dazbHmv|`-l
z)QD;S5$|idmp5Sso|JEjN09Ya)XBA5e!C6&_8a4v&t3_`5{H-6_5M8Pv%ET(5J(bG
z=0U*bP2eNTkIM$u_+LG39P>LB9|<v{i`Z#Ep{|6}%|+ij>An8ljSm8`Kix>AXA6H{
zS5zCSR(^#T7`AUVK7?t#<~vXBjfoFA*}J8>>O!oxD%T6WC4DyO-rDz}<Ls+w=e&>E
zd#<WBZ5{{V*ps&=Vk9|qe`dnWlXU6kDQxy$;1+r&zILg&I5LhowQE~CZYKEKjgg0=
z&LBaBn>0vGib&d=7?pJmqG}L`<w!Mv0S5LkJD-_S-#_3DZjXNtH@p5)`GHSmwj_zQ
z!qD=xkR3)m{4tks_P*-pCs3CY_)>+V-wdb)@cP!8uOB7)(L|Iq2l5|_A_YZ0izcPq
zw=o#1bT6LYF;54o>4qf8L!5kx2ac+N+2gSPl>#m!ssEmt$D(a?;ccEh5eXEj3J{uN
z<26};QQ&<f2YK^U1LVv~Z8pTpF<G9Erar-lO2(pdKicfsj5|Oj6WdG}17oYxoNb_#
z9twrB5-8p#R*@+hC(WBt_1k}D34!d`<AB6bMJSh0LThU{A(O4Y{myd+@C}g0V9rWh
zzmG4gcQY|4D_xch7bw1_5_jC&cf3I>BNMJHQLO=+-gemY^CcyVYv<pupG1Sy==Shs
zJ7L4PDjVTgzJdf<AX{R?gQcK3viOmtHiyHhn+-z1jsQ_$L=Z3>)90uj7513yb+JR5
zbU<UHaBWQQ$E3*ynt;>dpq;CzFk8`<7hNeh7~s-Pt{uD*7fa?m-o29}n{Umm5<srK
zEsSLGy12Lictd1JTPr=0hKL;EXTDR@vt<cz#_z0e<ocjqY;K>B>4sDgrrL_P9nSf-
z5*j3j>Ndcjw|rpz>&u$<#6D4Q&`NKo*d3G~@A{MQ&7Mav|Kspxw$&Wz@?}<Om@i22
z1h8QB_7gQH0c6XY!eRTw^~pJM;1%N@5}UXyylOa_3l(r$!h?JQ35_US<3}JCba3Db
zY5IFU4EYW+{Tk1@8!;fQ^A2?f<5pRPg&k>;VoBAFoZiRX0C*)PW+~YmCMV%pKU&ro
znRPq+E{&QWF3|XsVdy$LcRM9)y1$$Rm2=p##AiI4LP5Iu6dM@$=SZ$M8s{avvvnG=
z)w}Tk;N54G+oZNtTM4s&ct$t22{a}v-(TnB+huLTrbD;VZLd`Y!!HD0zx)^v#SbT)
z65&4qEZ;AXI&u+z=(fK$yeRVet<JT0au{+TAt<N)BxuwRYY&s?qw>N=<qtS&<x*^I
z3T&O1%BufJwE8np=w#V98~~q->;C@u?Jj}(Eo~uw>dw~uiBDzaQZH=$)aOm#mv;X7
z`k#!*j4yd;-MGXm$H6_Y`(B>Lo~_c-C<FExw-p1Qt9tW%DGv~r5W~T5aw#7IJj$s-
zWDcm?whhH*Q^v>}@>bNb@qF{IP84iy0yZ2AcM=CJ{{i#<>klD+GdcTI?`VS~*8V%b
z@dHi~J40jr4fXi=DWt<*%sFSuKa%wv<G)%TB^glq6MpaL2y-FkG<-Ymc60m}-Ci-*
z<eGS$o)$qhFMn!QS()Su%eU}(NP*)Y0I7f3XVOc^Y@y7zUlJ`_SEI4~KYAyZc7?Du
z@&Nbl(ze`b1xKZN&dS4#Bp9Qt-`GORFSOw;oq1+LLn^xzFmU)&1q`!S?EGPz^>6Rx
z|Cgr-<*tP5wZXlyW+jMC&z(RX9h6Lw!@VxIJw8S;&(`_Nv+Xx+?fy`e?0G984jEwo
z-6U9q-P)ghXyNBaSiCa8UpAInR(8wUJKoZ=>Z1wKKahg|0FV<$A9F<P!u4eC6L#p)
zy)~kHTkSCaN~BI&QUzT^?3FTiahDzJmL2c6#Gnx}(3Y;+pOA1+4Kw#vc{IHQ=%Smy
zutS!os;;X`U#(|##Ljxv#^B%HB2nVZhjw>p4pnd~2uOed;AOu!BM^8mEopE`Lw2#-
zgoNP%*fPlS_EBeDIY|u=YsZC=-bjs{Y4Zrlw`unX(Ojnz!~KgM_;*{OyR``d<dSqm
zD!Vx(%jjI`bGpqFUqdi}*}<HsJ+<OL@jQ^dG(X&;9C)uIA+oKh;b99*w*t5AMcek3
z0!G!We>sV^2{-+tME_}5D7{n(%GmuS*kijCn66*r%IZWP)P{hF==4b*961x5^N4wJ
zm`_%bg?NgmAye%xOW8*x-vcbq6=e|Y<#?wao0D7p(S!;_9Io7_tp^SkI(|;{P^1Qv
z9I>7TA2>+T9@Y5(0Ec`m?pH@C-j1XPN%8hje2xrLSN4#x;z`5X9DI}-Hy?pj-<EJm
z!yWdzk*vXYfs~b2H-{IJJC3?)*H$cB17Ao{i8M>~wm%;?0JZ_aNXgpi_iibOO4d>@
z=%^YD3gzb4yd6*Bg?I?}${<{>xks2Nx1hoDmTCTb`4?uha<;7BoMj@^R(ETD{?dN;
z6vq1L7AU{91wjEZG0m5vZB0k{qiT6}+7@oT%B%%;+>0I|e^shUt|O{N)7LXlB<!L@
zCqmO_<%X}+Mvvnr(z2xPIQm4<du(dy6f@dF@T%5Wvw8p4prMJY`6@MQNbyG#1?t$5
z4f!_LuQzX+)qaHjU9BHEiqg{EOl*k$%*mfUV+GklU(_B+a`C)lB$R>+`M?!HxP&6+
z+HCT~kE!@NxJld$_WKx4QEBN#`4VBHu_3hX%!oQq4;CyN7H?4*o0o(^ZJ!7T9^Rpq
zTsuNikCW$r{_$o1R&Y>|Jf`<61}JhumA#~R#MpFeT*FfSv4shJv;~ZGKBxy46_kag
zM*zI(SSRY|aW2Lb3L|d0`a0d8fxKr^JkWeN-EeJWQ`oTrm;MugDt%kB03&_;)<+s$
z*O0TU;aT42sw{bx7cT-9oR?^xpza9;Y7kmuMV5<a7(?B_<kowjE-7UJ<xdpgr<GxU
z*Y!I5@Vb-jd`|Hqj3k%(!><uxqhhX9u;sllIbYQoNJazNOQR>fVyQXbJ8a25o{5NE
zC&H1ee@(Qu80vn=#(zXk9HOHU0&v%1xZdA@zSqUpn=fj$-^76K<}L_4Y1d!~rU+WZ
zGY<|_3$UX@qfHU5l;ryGRGodXnwCr>LO#L;8AmtgV8PG=I3xMJ{>j_j^}FT-&*hlO
zwLC;+{wfa#0r@{0PqBPVtm2Y7C1`bDfjfsx!~lWzBp=0ii*8?@JrB&gpDLRHqAg_}
zdp{??c!ac6%gMCPE6mvMc!cN}I=Xx-=>wfU|M=*)BY+!X*0NRd$=HwlCN-Hsl|P}Z
z^ibVeYqbPkcGcVO@Y|`K0`~64A)oVPe~k$K&J?M&+Ke*0SMWp{PUfh=yFfEswDlvg
zR38h?)6oRXsTT9Zb^WfU2B{(o>o>h8(Lq71<ZSo~c;cOOAT#k8bfKanlV4;c@$;b=
zN;mk$7b4>eByghk@QQ!!`1N3H8C}LO7vum!=Si`|dMPbM<D!jOqxf^0wjM1t5~`77
zpm>=&MxD7CDp(Uh<Twb_12zcx-y^)qM2-la=K{wmSjw%b892<h{>{qwnI50g*lUi_
z$tki7)Pp19I0B-`WdaMzkA_biYyn^3SaWa?y6i`-Q_+o%N)@DBZt*va4oj6xjBa%j
z_J;t;{%^@=nq0`CPYww6H|s5_7>5<z*-MCKtuO1PWcMyeAHa`{!<MNr1rd0s@5|;u
zm<HN5el#J=&gqh685x$c{ly8RSRa_7rlLEw6ug;~B@Mzo|JDUuy$XH>*dW5^zS#?W
zDd|~snIFmW(<i||S#E&hl#e2Ds5-)GY<jv(rk~i##+i1I@demkC-zEA45*I#^n}9u
z5x2v0Hx{|5*X4;JG8ql@xgHL)eX1_sLX_V!At$chB`^&*R8zirvX9<7N^SWbCgm_Z
zpzM=l>cun(Qe=(_djX0FO+hNE6LswbB0(|lx3IC(Z?pKIuX%taCVvLj=3Xm~DDdsX
zpvRCFD2sZUtOyEwn4Bt=l+cp^@EN9!2aYa5l<t}jDWiV%kEmzm?_!Ls-z@AD$$tzA
z+M@JM16<OD)P@h`Ii;F^V0&JhG(eQ3EsH826oB%8Lv>d4Q7Iq=7AM<R%aN?P!(;QM
zEjng?rCm6oN<b9INK4BAWEYqnDcp{<sMxe~9#o9?^a6iiIhTx?IaLXRTRb$8QeyDa
zjdnZX@0hNql9I&*^f4CdYfhu43#}GFAdoWQ18KDNrj4})*!hK>A4)~zz7r;WRbuK5
ze@uj%Nr+2nIA7mfcUme)Dp1cSkQ*+IjDA|y9Jl}cy_#`37Lf{O6r57khGt=0$f$dS
zF_I()$J2xLgAv{W6BRQ#E2YeREEq8`#Zn{jW=@JlKjulB*bbX4EsqPy@=eH#+W^1d
z8t@CiMqJC)e`phW1DyCJZ+2E$g2Tei-ew8B{%V*>Gi)e50<I{<Z4RSOKx(H0FekC<
zl^lbkF%2`nDboOUo@yYeuwkK?A&o@f(-Z+F5-hNno$aj3#a8@o|GAALdQcnP7h{Xr
z`(-}Vm0lZbRG?|$PtNbOA1=0X1Ja9-AA`Osz7qgSOBa(b5Od##cBpcZ=~e)tEaQXL
zCDot+#46kbr`U*lm-J?4R9Mb;b)R3(=(DRC<Rc02rdc^=(q)pcVLpNSUAaeW$p+N7
z*vJQ%p*gn@Q)n64l=5o39Fc=*L=4daL|=1tdkQS2SuwfzacykLbPcx$+*rD!tkxYr
zKjMdL+|MM50MUE4wcwyG43a<~yRBpquphU{e%x-Ch|9>jOS2Odtsd6PNQBEsq`*v>
zwu)gYlI;6ET3ICXe)w0!;d3V)$MH`*8lkJOw9;{$+z<Kvz(<gFt){Q6_Nh2vj3knj
zz*r_Lm*G@?pe&j4k$c2YQHu|KN<qA6xTfg9#C6zYL^lisDPRfj3l#v3wF9SyNCmq@
z+YA^?zlMb3MIMb}63-q>&q)p=qb(FEgWI3t=*mCl&Vf>Da0yp9Ta~pjEtknGt8-;~
zyH;^T{h(5kR_B7ragWF5TD^(r1)BpHgy)*4CHnYWIe94}+{E>|Y{sXVI_&eMZ_mW5
z1{1SY)z{YPM^ASr($?4M#}d5qVNfK1j7QBR5wRG+OPB!l2LX@8vWJ{yGJVYCF|zFs
zKz22d(~>be8F$p8fBw?ly<Xi@SiO>0(mY!(SzN@M6qJRK4MD#vYSdP;_nJINomKRw
z8MIQ#gO$IZ<qJI>nV*;lKs>=(%cq@q7B@jFnxbuOA*;p9CsB~=2cIo$1hzpN8#576
zbg&!(qqZBpw%a$!rGPO~EoNLY&cp}9^uZKWz7=}^7z|k|r#Lm|uxYEHOzqs86uOF$
zHr$K37aYVI4lf7iWj8V$rZ^%=ihm&Y$-*lvY)nj2Wjvq|7%^cgUD;E@@$mJ^mqysC
z;dcECD;_Lko$YV0%kqlJa*Llqp-CO6Wgu!cQTv$>KD9DdWtj}L%Jf1BDe7Tn<qGRb
z5>O<RNQKL91yDmd8*Xr`C3Uia)yR+qL#KtCPE`XbU|U48GVtV|>gpzlJi<aF3Wh6%
z84S^i@}hZuk>!@upf}G<{iY~YJ5suLjSXj^rsiy)oV;94VVbo;j7UYsXf7%U$c>=9
zul5=fvpE%<?qP)J!C5tXs8=;*O{Fv>q4FiEv<R<|eKc&MF|x2CLmGx3d9&n;;WSW&
z;V`)<5!$b`1VzU4hz@N1Kma3P71&Gpn_Cdu(|nxb7cmwHwA-HlEWzts=N(V4*NDo=
zq0`c!#Fp7UOQ{Ecgr6I1fAN|aPzVFQI@OgFvuKk=U<6L!fX~cH#<MgvY>v<J4#tko
zIK@#rPEe$z7A6p@AjVSpQn6{Pc<H9214oW|*^evo42J2vUD$niaQvp1LxGlAo%CcQ
zOeI4gahUjnPNW0+$q+{C<n1WsM<LaME8U{>foT#52YR%-8X6A`Vx41ia_FlC&60vf
zXs<Z7Y$?wbbL2X64pp)OZCbX_T&lB)!_LA=Pl_60jf6<7q)06Kqj)dH_iA#5)m2%(
zTx??&PON7cVL@4va%8x%C)Zi_Z&r#Z!(s@V>Gr<gmS({arSPA7gJTPUP=1z^eyEOx
zIXK}<m`W&Zf3IE?ZjIaf(7)wP!L=QMy_dJE^fl&9LO|+>aU26t{@ts!$%5S_qqI$-
zv7O=2O>;@(6%tCQ?VX!*As_xDSjk%S=qmP1b<G6oM;J%-oHfRb4z=mK74H!fX|Q&h
zcPmDLa+-C*=%8pg9%gv!-0Kpq53iFicV7?m3)tez!XQefsKEsP3}!7?f)Ut(13nLG
zacLR+@9P3d^vP6EEiF8SM1>T{ikCt@zxKdX%s@2RTq)cDBpNeQd@!J9=Tlw;oQ|pL
zp)dWi9+H&c@+?|5J(s*R=QcSbHBYCkrXX=Yj>#4EDJuOV7s=H5r;)ru8Px0S*U8Ht
z_i?D-Z*RGaMYC$E3V|w2r%ajo)VAY~S&B3aXE!aCHSt|er8cdVEm)Td-C`kQx*Z(E
zk^rv+hK|mnth7}G%2I|xDQvo~Ld-yw^t<>-3&b@pnH(&vTuC};4wOhE!IPHkJzlP<
zSSPUA^H-(QzP*6aZ7M7D^1WB{88)7EegV{bv8zVJ!<E%?8m+Rf;vAvMkZ6sFze6B}
zVcn|c-&!(2OO&t|L4k;(XL;{#<I)oiMulX{wh!&;hO&aA<ilnE>sS&>Yv9zY2I=6=
z?mCuLkX&e#TxjkLXQV4-rM0<-n}?q^5WUVvOr%mVkmYz=cUrErE83!s%K;SvEAs{R
z3Rr^{n}?qD<h>qj{#ECj&iWEc?D9<Q4`3!a(avF<*4?*B_`Q@FA3)wDeNSaV1od(p
zriaUojtz(MEvt$zYd+N7#DOu<fVIkJ(TGSTq-$N%5Y*H%t|+E;AdO1CC#%d1`%Log
zvb5z$r{sQ{<Wh_GFc@5#Q6fG=(ZsgeS&5F+Q1%`Z4{5}%IQ1!+okANg5ZHtgtOfL>
zqlAe%)20f<-1);JiZ1iSq!D8pQOdaNe2JvAAcm*Xr4gY}Xqnt*?zdpS03#3QB>!o@
zWYZ0!(O*p&tdu$6!oNX+P**=2eGEoaUxLf{PT2%Z+2|kG@M`qEc(2?>&Ukyb;zc5k
zEJubER{G(KZZB)O_yH-Ck{n8!P~wPHc)E*9Tbha405H|@at#(K@V?|QMZLp)*oq|F
zsoD{x@(Yqd<2a{!rznYH%AZ|g58rcCmh`XsF6hZVHAf)sjUqaF>^jc46lDi!<{F7n
z;Xs^BZ8!@pC4Qeij7Ciev4c(;fmyj&u$yItE=jH<1t;$Iu-1wGJ)V`n>OyT3s+*f1
zI^tfYEm)ldCgG;K$byQ)k;lZO`gTVKsdvf3+6S=PwDF*{*O0j0WX0Oerrez!JzTgQ
zON_AP_*$|~n;#pPF`<vp2aL;1gm1U^C7vG-$0AycVX);$mDo7ZC#*SU%=q4WX?JFO
z5_zg#?m#^}Jfc9k^Vx3Sd`!w2ym`K5_I|_3aN*qks9{HID+VY>`}q2|+*$AT8UCd0
zp{O_-iZ@vCfxY;mym?iBdefh9H9hSu{DJpV#pYSARbHAHuA7qN-+6srYRib!opla}
z$ml+Z6Us$$#k^K`4D7B7YfU#XMy<1>oF*I0iub8Ty~*KSe~4;!K)UIJ+yO4KYuv$K
zCo$j$T)T$aWuEl(iEm_?H1E<UrsyR<k(kreh%S(kQ~Zo;FZ3>o9SL6O@_%!}W$_@S
z&+DKR)$4;HQp6Wk4>L72b(Gt9!j>%Lf-`g6>t<9rvAv3oI#f|{kA`8By+;pK@>wS%
z$-xB{lG0jrXX^@bmdk;(bLGpgcN_3@!Z(>X7OA)9QWu{TXy!TE@}@E5W(b{^n#36w
zcNS@rvhY!o<tC41YLm`Cf8QfF0yqyQhX^AxdvD`Hj0i=9?#eyxsWj>^RiNdW$qY}H
z@1pp$-tGq{MwGI-PD99u5d|5!cZyr7V%)D@PY@)?D#}i`myiT{pM3TX0kPZ%{QUD)
zhNn~wzvBwo-8WE(+0Jfm^ZZ`({J%~cFHaLUFBcon$Uz^j3&w_>aJ!!==cV4RZqJob
zoJjf@0n^@WfAD;WeY--ET$ZtXvU3P?JPTJ-gz13<#pYOXY=pKwXvN(Imyu^CA!np?
zLWHkM!w+2FN55t-<2bD-fjZF00;v`q6O~t>Q+!G)Nx?B(oCmh8Qi(crqRg~9xC2DS
zkH#5cn+Lwbk@Bb4tGrKBsJ*pFt;d2}Q0Hg;4ye9RbD{RtdPn&)C;7>qjr-3U1GZl;
z3%}fHBTqzG;7}y5F`g;ch=lWL{OCS%9V+TBROu;1q{h=?vP2T0D<7CNkjl8+Xw`nW
z=bAp+F#x_E7yJUUB}$Zd`5I6=&v1mJEz<E~S+PW=b3DcKJ$h&N9yv*jv@}LK31W30
znsDAZ&9MN3nfCkIjIpSbCYClVNG`&ce!SF_<c_}ocA;lU%yq2?AiABJY4cg@6)&qr
zXxa$KdwYumJa=061)?gwf@DunF;5_NL^thus6ScfPO?5)XqZ1phvJZ$=OygTTP00f
zHI<cpl2~aP9%6|CDSC>FOq9cLk7ufZ@m=yFOr>^d9JdpyId4MGUqyZQQJ3V&VbtoB
ze0G3@&F2%xg(48u`IESZsoG<`z=B?NBu4P^vbi=s0&~<NO`J;N7#-1kJwT}4);inN
z1c4Z}yuFEeX!oNCZM)(0-pT3dHmifh2m$|cN`g+x9U@fF8`Jay4xsfCCEwu+4=K$D
zE)LudDhRGxVs5sbcQNUTYoWyNaN}ZYYVND5D=<Gu;3qll?Ig=KQguu{DgIuO=em_F
zZDtD+*qEd=w>BHE{Ry0X1C-SS1jkRdgVkGYA1+=Ql(!nQ+(L)E6#3|Tx?CC9GFw}7
zSyN*cvCYO~?(HSr3SyqOz`;MYKKau@xej$nzoelkdCR9Ht2Ui`75)uHoY|ibInV0s
zC-xd*<EJw@MdDeb)U^sfJd0=4-gp#R!7EzSVVS_w@+yx{u-;H^JHfboc?&m^F%?MM
z5R5UXRIzLn>DZ6>V<(Rk=#*0lA}9o;#;6AaZ1bw|%uGqbxr2^4YB}zEkIX&)HJuzR
zVh9L(br-$VVxnjA|EkV?PlG6NqRR%xva8#;oC_nr^M1HDAJ8Mla~b9H2w4Od#beEd
zJvWBzcgIdA3Y}x|7o}$Xo4+Fzwku`bBOR6j#tIyNguV*|mbueVZ751DgQW^bU;fHq
z#aXW8)QEm5EZH=KW_7UqSQ>;j<w4@H?mg@f4IdK?Bc~})phzq!G1@vHWxX^}hHL$7
zvLc@`+?c=9|GGZUc$JG1h4+Z`65HX9ah_9l!Sr|x8$EL;DCg6;Pg(6O$<2R!_n}TK
zq<*(UcBau9CJ;PAY&e)r3<?R001Uz#E?7p?@uot)56VUWvT6X<nU$l)&TZZMs-E*x
z!*pn8XGU(+5=mUO;c6?gMxgUu{nU|8ZCk^}>CjNd7W1Ki{_t+E%%HUS_+i~-`tuh|
zf{cQ-zquQ!oU-BYRMsbEojBjWkbXq4KSV@l_r}7pORUdM5x1}rvC|3DoZVyMoF_cF
z!ogYoU`F<UbU}84z^emxWWPl(d=bd+(&v51jEn%1I1r%-3i?_`MjY2B7Lx&@KF$lw
zl(_0DmY5__$DN&Z{>wCs+=G!SD*{RqE1^03E@(>R-&J#q(U-=ffxOu5lzq{F<mTtn
zv7bRor|YqBCDz;Rn3`?fS)G_RnL(cRyvl1k)jT>&gfp^6XuLW`z_3$JhCcrizv#GZ
zGCXTD{CVgNnkb)M%yC|z_gmaT)uUJI5}@L$;BsrqLR^E(+&##iL=@l#waK+J=CI&0
zGL=tgnBMER{h07o-6hRTgCCJtbI;MMcj`IJoLtM<oJ5F@4iYX}R9PyplbEo<Ud1V1
zeV1HbaT>aFmyI}CnR+f52ALO-eFHx;JXxMxFhAgf+a=gJC^nx;Epcsc9LY?)sWT1h
zFmSeQzbx4jzuZw-xv+D=Bm1z8>@Zy0j*#yLii5M^2nujcu0d8-S39kR-G9R%MtvVe
zkA^;rfy&6wmwPF5&&5wEFMe}g5(EACqrp@7o?%0n+l(i9t?T9&@`hglaUQ?~LtSu_
z5_Yr_j5Zud#)k#H9$A)5HsR8Xx*}04!;?PTiEwzj0Uej1_nm+(HBS4>P?Dqo#0SC1
zjOTWZ!^fOL1UIWA*;)sdQ^o@8at6*CA2aDFZEJR_-clCmwQC%0HB<K0LZ1{9KJYSO
zxV7Gecgd>Nt$h0<=wF6vu;5tnLG%^b^S+PY&O}lKoU8R-&IXYG8ZPuAEo{6HQcf1|
zdHeSI*}V5z<jzFn`Gmc|?ZcNKHRbBcP(m=K2`S#Kj9ngQOFrsRGFtQS`t8u!x{PdH
z<%r3{q<u1qhK2Td@T~<5O`k#>7fm9aO+K172{CPJt?R6K;9CD{lWfMYchg_uWJz$s
z?v;4ASKgl6<b?awx%ivB#?Kq!GWU6JH6IZ0rRL1ilDBd=AqWrmQpzlB%OMVewK16S
z!C7_xoH?Qj?op?v4X?Z9ZSN(9^@zG&Y#Xd7F!S?tus1a3ZMtJmp&wpD6Uep6vT-fE
zFw~6h0SBfZhz*blC_X@4T}sNe_p4lu1#>qZfe6|^7i-WT&*kb*fQ^X?68yOqjjtT0
zKR5rrf8`bYSsVAOkk_9FAVsbMaer=6p}lhD{@lVsaOKwixg|F6|IIKRsv9I#&k*Vx
zJlZr@y`v(7P%G#ApXs+XgWi1zLdm?XKe;iesjE~Q=W_pf2k`U%)0<bJqewFUS>;@=
z;kjk;lYk)2zvY;y6ws@p(KzF~2iQ*wK(Y2!`?j4(?=X;BgsiEdiWI*PxM*uUBG1ar
z?H1%C3!SZ<Ilp&Lzs6r7;a+NE;~hyXR0|_11qFrZk7z_w!HcaY`|G1STHgCwD5Ji;
zy`2z0aQ5)D*nQXh^-ic^tIxF?A$#mWE1K~n%PlP}N8ba*$`(A&QC2+wGq}9mobp!G
z*uT@UL#}1w8~euQdn?DXBOi_41D&=kS@UP<a-Uk7#TUdc-gQ}%ET6RKwpn}|PhUOr
z8`BeK8W>LBg9?3D;AI`9S;;J|nxtD+dMiiiJpcQ=#i23n+SdT5zWTi7dCp_|t=aSG
zmkyEJyYsdLZk>=!y4bw!vC_x*fu>*1K{qt1i3%Is=baGATk^e(tA{h*qp4DXLqkL9
zppu=1i%Vr}Y;3&2vzGSNMlqH%M3Kg?g@qUkqs*+EtXl8h*rsc~LA|cNzJ5+_?jZln
z>on7jh`Wr8j8&d?c7@>I80B`C`$i|Lom@^2HnB7aj7lWGos?URIv;H4fSb+C%<h6Q
z`0b{Ls-2dHCMWYkLU3%xN*H}<(2gpfI*FNdA{e{+`uOvnKY#vAh3^evK+^u%+3Rm9
z;@&-;!y_YWTT``N-@cXSyoSUOTK1lvoT#g+LL)oU^77d8b<5=&&kx=wD}TPHSM@1U
z>_j#(F_CBk3+pC$i8*_L1;^^W0R_(0`on28Ma3}K>fjUc;Ressz2+NtRsawco^48U
za^Cp3E{A@Nx}2Qcc-e~>y?a{eT{rH_rJA1~FQ<&+a@G+}+O~ds&#$4aokbvi_B10S
z!($~ikbU!7(~;!2<DiZ^-pOpZK9sPbyyfNPNO#9iX=zftyu7+~FN?Xkx!H5?G@S<|
z?SdX(U*~tS>gx1f9c*A1B*evKmzAl%I@}u0R{IPu-B}Rm!8^-L%B!!}UtC=5>gpN@
zA!RGGnc#DAb9=H@?&9KtNY}4*4W}ZEjg7Tv_Qe!(S&O}X{kreE(^8L$vT_6hfl%B;
zYdY6S+^?z<X!-sWp{k}<{`%PQ_}uIKWW8{31FNY~C(#KKO>$F5-0Q3gmR(i#5{Cv-
zb%)K#Yim+)%$lzyxCyK)7=IOzzNM8FPbymz6&}9Q(DZZxfFBYCeS}!=-t8|j>qZgK
z@86C$@$r?9#+#cTR!`Y-=v95UKa~Uv{n6{>#Z>((EgBk{S!=W=n6$zO*tiAPTGBgr
z`ka)|Vq{pC#ZsQ!@jffYrx8l8sS$FoH&8o8zpwkC?lS=%URG-ALk9;3kK@IJ&r>9C
z`ty2^0oTWZy%Ka<qB!7p?77&ioJsmlX>`+8gHJ_4A#~dN(z6~oK+WY-wQlR6OOU0d
zrRu|n%~gf_9`!gF=pK9hk2}sTzSeZi_meykF*Y9q{E(gJ=IWXQ#*&hf`hEOb$orxW
znD^y&Gh&QPOv<&KkW2FH<jRVQobqzsBNy;qBY8S$Ajwk-8yj2A4y)-Ma`xyPxcqC|
z+gcAFqPY>H85_Cu#>B)7PfX;BU!D!#7r9;C)jz+ZSWn+%qUT_NjAPS^I5CCE$;ikc
zwmvMrllAs)goU4`Tt@GUUmTg%n4!PRlr@_Ibds6*=mr6;x~FG7=uEcXE4*!SezH%0
z2r)9zTow@%Gk8{MJG`9YU9jDFX<%bxBjmUc1c+@9U|D39lsI<PLnsU%+-@8l9aSLS
zUY2;L{b6@<QV+BO8y*@88z0$p&8@C>AM)}^e8YyXROY;@+M=tgn*>|!{UEHFaE(q8
z8n<6pC!$~Pq2YabUJ2qE&Kp0tG&D7H0C@u2z~hJ4y<diKm)_-X?>~PKc8kz`wU+%E
zUO9nclJ@pT`VFt$dukwx`stA~wKX++pl{(_QBnOTV#n|w-n3VDx@}En1Dv>=iV98e
z>S-IUwXele04I}i=%(jt6-FGNInwDmw50~O3*mBEjj+odihc2f0>|)E`c9v0M4po{
zl+Zo8*F#S)ne3ikR#%t2&199z<49T!1%>W(%NzFvqkE5oj*gCg^7H{A?>w`K=Fc>s
zQ&?Cy`s-IwNJt0;3}S5J(mOaXpl)bbI5%ek7;Sx}Kh3drYP{Gqkk4+KeRUdJ$|&<^
zNDE7`Q8W6Ob%jHU%l#6u=~7Zi51#pRQD)}HDX)JAkB^V<ZIt#Uslnd7;1XW$?CeCO
zH(s1{`>#RXnbqjrp`t>x%zn?)DfO*XLJzv9_RZbWGG`hzuxvR1&~Q;Oj%O7;J={J;
zb6_B@R|nQ+aClZ}sTzPINo(L25y=A!t_w)+%m>X}ptN*r_ZTKuT%3FZ9T_kt=vF(0
zfFC`042kBQ%Bw6Z`?|b)m!DrNJ3Cu57LQKayx}v!&6}$Lu1ww9I#09EfTjR}HpnFq
z21)4y=yWHYza)l0>oi%!!S+ny?Ck8%ljkX(nTB4+GFBsb{TpMY9QmY8Ly2+w5fKq8
z6XC$#?FTSejB<S<yNUw35c@mki)USNY^F<f#l<Sj%E{k>Cg>C-d^juM^;g6QC~928
z3eXWeJUyqPpr9y^l%V^xwq^;i|8ny3!eTJrsZ>cbqJ!}{16xvaa#-tscd<3^fB7Qm
zxj(FBX<_ly&8<?iK<{qhXfB|vjL)BQk;pGah2RnU`}=Z;0{vPhIgi6Bx45V%y47i)
zuU|X9Tq}y#(J3q_(A3gO;O61k|H=^g)x5NGeShss0PgS8a}V(3a+5Zk(AsNsi3z)4
zP#}MRwgRI4g#|d9D$wf(lKvAAqZ%3-m?@<gO&;d7jS2%m2n`JkAOr7sX}i0-lewT7
zLCqKIDl4@xF)_P3J5@Y9YR<eG_3kBjT^v6b1<7|Fo8_bITX^qiuLr8MnwPHrZ1xj+
zeN?3UQ6!t;aRkfVyK-%9Z8=$4Pvzx9W_guA588K@4X)x{2n!3pZ>A?Sll<oK;zhP{
zidcSk0%!N4W9RlE8zZ9(7<|0Q*w4|)iD3x)&5nQ4F3`ALtIl0le68anAp!PZx6!M<
ztGm10q92Lnf^Gy=6ZA@efhG37IDWi7l0WajAQ6kpyBr)GtXpmw2UsM1Y012;z1?zW
zuFYdTzfxUY9riw)TAZu26))1o5D#*7y}5kwXzI_e5Il<8=zo5_Z)A`4=eMRe&Gi5L
h_qFSR|Chh$cZqiKd%B07x$J5Rax%)&1(HU-{{x+v%eMdk

diff --git a/devel/_images/univariate_univariate_forecasting_with_exogenous_variables_5_0.png b/devel/_images/univariate_univariate_forecasting_with_exogenous_variables_5_0.png
index 7d7de103d135120b8f138e616c9acc0725b89b0e..bebde29489336b0ce62083598f1e04d101ed780b 100644
GIT binary patch
literal 102868
zcmcG#Wn7e9)IK_ZbW2DMDIy@<jG(lXbcZz3%}6TJF$1E2gh;6%;ZV{I10o<bgw!xd
zNRCKIo}1_WzmGiUoDb*A`GEeI;okS&E3UQHwbqW;)lnlSVIl#6K;#e9mGwa&d@u-v
zb52A6d~$4f9R>U+<F8`sZ{X$RA7tz62-3Fo_jdR4cYkch9_Z-n_t?u*Oi)HpRDj*Z
z-{0F$R!GR>-#-xa@^u#C(7~Gq79sXlH}eC5C~Yr)a6Tx!e+<F_fgUK|H-zSFwghEz
zn}ls&7_V;k+d3B-e|&oV1=R~G8T<Ak&6mQDxP@`K1}3M{J*X6HI(v8+?CrH^*{!&<
z*_o+`sFR|o-J()V9m_{oAaYOM`F&VmGkX8iKfox+C?Ftc|Le&UFxXh^?%c$j(fgq%
z!zW>F38kfcL>y66ivQ;y?t7dq@}U3y4fwq8=krdktAF6l3%P#fd)(OnKfk_(+Q3_*
z^Ya_{FcBO^8<oPYNBhXmj;OkNKzG8Ljhus99U4Yc6^!23?)w=tDb4Yb#>eBc-5?3P
zl!PKUs!adyx6zYQ93PpjF;QjO!JLrRH5H-Ge5F|Th@cUb8|dSW%E}Y762nfD)?aj|
zi-Zd8sa$HpqN0&ET6d$N3n%lj@$vDVETUKB(2aN34?;msjvmz%@;LglGMK$_-emj{
z-LexVROht-+Z&Rj6bf6{M0hR8&q6WD^%$7kZthMfAqIn)lXbr$!8p=j9tZ^`CFbG9
z?}rxh+aU`l;L8<ET7DWG{eG`NuA&D5Eu5}MVbPQk3>T-v7fJB&--WsImRA=cR9u)i
z?q&A620HDrIgRF!#cj`CICaYL?j$|}o{Lk=|Mszq>#w4troM@x5r%x|riC-X*5AcK
z=on_t_OQdb$=yslMBK@C6XmU3e|;t5x&mG(s`^c|rC=-}Tj(c?SnVtJ;&Xpkqa4nr
z0HX|D#0yZ6Tg~y?eLWmXVDZ@#AGEp9##U=i{=LqlI*bCl*AjBL)JZDz`}c7|!5N&Y
zDwt|gywXF_n60^$*sNvun8zWY%Pl8mBL2Hu<E>82hRsE=rFRFu^j6JSO25OWpdD+=
zkgeMK^>^9c(~cQvLWLt70zyJWb2Ax;frX_e42<1-^@?s7DJ(C)d_hj7s5sbtt<p=;
znE$`)*FJa{h2*bnuG(%JhU{sD{xrzL1<m@8Y1d<WnX#~-=E6dxu+--y^YTKW`$X%a
z2?g3NPR<$mr7iMIis~ts``qu`$WECcuk=wgzO^*tsRGDgtA6=~ruUe(lr0j*3PsAz
zKg;LXBA1q7>KV>uNgdQR^8Uu<@amuENG~@fbh)XyU8Y+O9@k4NQ1<rrpr@9Cgdk~j
z6b)6p^5tp2BNOxF9PeFqwqT_XQOJ{>Ha1Wa1**i5Wc5vm;KAnfbEQ~{iMz%|MyJP<
zZK^zJ9n;QvbNlu;uV`C(ECB5@Sz*<;x>u)gacNZ`=>A6=kJHnoL?HrD=!#h0Grm7n
zZTsb3==NuLm)|8D@=c%%d9Ex1&EH^zf1dRvt!OzghipB5*!503J4NR`0@&?r_{kP;
z#sG9UWd8a4yIYTYF*b*dljw8{&yGQ<g{0?%luM5vhA<uMEWq>5Hl3%c97*R7TMq+H
z?)-~Az?;m!1)#C(4<lp)w`QVq<${*Bn|4(5b=#+=7~UK<ucGgGJt2Lwm$N#4SN?kZ
zVxr9{XX~$5m5cAPJv##?tzt(;^qR5BUfn12hw@2qc+mfC@wXp-&TR5a$Tb1Vom9I|
zM0{NZhv!zTuvqn1*psL-(Z6W%FP3l`4mw`3caD$GD>BS!{yJV&`q4?-1(9dNk5~pU
zxZ|+x!k+tjd<@d^$&V(Voff&I3u9V*JUl$<^`bOvRYuG8$|r*xRPo~>L<)xu5uKmg
z&b;b3tAfy0JI9!qRfzu@yI|8MWr~jTZn9S>b75iOv$oGpx=`*`T_d`@=6&KEQJJSw
zxt~iWW0n5h)^!cv27z#FVxE#7t-zf-OD1i{Ud=~6LII(t00c-DjXfTBm0-CWeC_kX
zIVohf9f_T?hc8xM96t|$haEOmwtI!|Db$}IyJ2%yA(YNJKIzyd^YWOslO{^8ykU$I
z+p+1SirUj+RQIir)n7-$C$PoD?}rD+y8rG#QE{OB^ZAWme;|UbM|a|sIqUzdWM|2r
zQ=Tt+92F`AQwp}7wj6zLJL3f`XCYPRJ+_N2oGq4uwJgM4^mX@yNdyCE7Xc4rDAw;k
zn)}=ufVbUtVcon$SJ~_LX799pA%hu+IyM3~_<Ju*+_Z@P8YKd=lI^7^&eUVEa2yEP
zFS)T4)Ye3*1_%3`9a_}oJOyBwt+aFrfdoH3I!nt7m7M>T{@H$Key)BcO9&SfxHBJJ
z8NRQXnPm=FIH_(U+iZbGcXDA>DhyN4t+vpqe~mLL?QTdQCO;P3u5#lp9tJ}L{WD<m
z43HDs*&1Q%8zH9JhuWd5atp}@Ix=(%=Lc;75;S3fLlOP(Wi+ul;~*m=tJ|ZWiTr1I
zOR@77&iItS&Q%U5_>Zr|%L{{vMLszdv;6_<0}@dCUfu;Kpukz*0ZP4(6Io{^9UadJ
zy#d3bO6>7QnLVrv(}IAJ02bORb5dIdOkDKZ!|z5;wrnTY?{+3eKH-wL^<!KjoyOMd
z7wxM5tFWLCr3pb{8}hReP{5Sz1`H(0F<DXy_z49y`;b=}_zGw1cNiEL+WqoQa6$I~
zMA>_Dh<ggaM(<qE1^o@H-${UZtVnqYXAQ8(1=6;i{_p^hrT*8KLt9_pT+Bvp;0z-a
zn;1a}ECd&kl!WnD997rB6o@X>xUBJxuTATUY{4!MM>i<L_dj0rc6LIn_e(FL9Yi0W
zp8gPuxEX#t#&)UWDmpL#PRvZ<2dfe1CeSWs!N<qJA&1)?Lg7Blphw~16o(5Dm0Np3
zG$iou8~ZRdr@v`RH)}${;^pz86Polfo@ogxGl6or?SoQoGBBZtKl~fv;T`xlZ08zp
zyDyw;0xo0+g%)ieO3nSI(bCc?Fcnw?)ZTqd9vguby7<NDK3zrkFydIu!{(!Y$>PrW
zwi0iK=Fy(Q1%K%IUS7}T-}#*FFKj>V<%(8YO0=A&Wj1sD8#RS^6C(W~GaFrN3_z^t
zu?jjP0D1p-wG$XR3#@A2ysqt4cV;E}y7SMfO<crL?C{d4=0XxY;<WGx^|>_`K;_*j
zX3u&Gxghx@sb;iYGnzbu9q?04n`4vEZNG~s0EE1rKQWMhyQ?0`5mfc=ir(#hVb~S`
z^o#KuzDsHG`OVbsiEC{F+r^R7Z0Mdgtg~>jo8~imzcPZRbuZUzNp9g!Q1jW=PT9#B
z2Ck5>QE|do=PrY@6Si|f06OhpJLT|fJ8SdV8<axh3qeKRV3VBj4_6@f(5XiS)=-BM
ziN6WcTZ!R6Bk*t{6}{aK%5a8kDKA9W>@&O*?Ber7OsX2Vm(e+A;<wDgLEQilMi+Xd
z+MeLe@5Ur1|62ELNP>rLDt(x6tv~)r$>`bVBA#%ub8#XJKxO&S`1^B;g`?ijBGOZ5
zFE-RCZBolfOs|N0v~MRo=mv~MCh9%pM+vNe3v`Jq1fa_U-^ud}4aKbt+hPXNh$yd!
zlZE8Gh%Gmp-U_RSi!U_i696$)ZhO^v&czG}MF_on4@cXa|6n_7c`ccLDO@@5^hDOb
z5TUF@6t8INztkgiewRD#!RhI$f(pXa<xjI$*v9u%jbb4EJC#dMPv2d9PPv%9&<y@w
zmm3w-vH|zFSOH!Z={NL*<T8)|sp8iBf>t(fX=$ld!~~V_Wx$fozO|3PbG*`0zq5NC
zw0QG<c^A?q%n1&Uqq?W}w7;L@>sJAL514yYnf3om7>k4fhS;dTah(<Z7jlZgm#*Sl
z5|Cbu`uk}&E?~5zSG*@G<(~lbVaL_V<CprC&_@r*0Af&5!fX6>2*U6G*WaS3NNK_G
z&cBL-W9{?xm5RU6qpz$V1pr_YZ#9f>W!Tj7uUjZO0N5}b*DH$G&oJt<MQit*@$b7h
zmC&hB9+Oe!UM)z17AFCyFJm3b{dZBG%l9dl1n^L+=vRIg6vJErZuRcqFi_D2RWa(d
zGVMeb35Zw!>Z8|zjSo9S?=rwSsmFBk^#S<*YqcW(95F?+JOGU_)eCu|{`ZyK4nSCb
zbK6)VRfIa3oqB>5E>Qb7E^%D{XGdlMob<L=-2ibJU6QC6(-1^28ZoI?lZ!YqK=6zl
zqC5rfFbFN=m0hF)o(wTSMI)i&k;;ZR?MZ5XC8JLXJoUOj&$XNZhUC1eUggV3lQd!(
zV^vQ4?}_5@F83AHml>y$Qgl^HQ-IS#-x(U=n6kiW!B-x*cDbv<aapIpTBoZgN&QDO
z<0`!l;{vtxf>#Vf5d_#3p<_Rm!TIU~h-d$^A0DRrFaEP7^2;qH#9;J9ME~PYQGHR0
z(9<s_t&w976<FWrh0AWY9L~oqRF;)3V%RREt&ciyENxZ~_a<8Z<_!InmZvP4y>;I4
zLKayFocgL7Q`Z`HkAS2H4a74R(bq{^JAMr;^9OaG(Ty7wUH!N6k_H5u$bfq1dh7Xq
zB?c(z0LR_@MNI=}!~Q>NJ@{=16#&xQi<1So*f4}f=t;k(JKNqwWjLK&(02Ea3>z2#
zCvNpWOF!<`R)&#h*o4b~p^G?{L306fcU|oKKf%<v)VpcVoc|-_2M?o>m(?Ql6pO?j
zMqC`msTPvAnHbSY%|p3FUz1hTFC{cCSo!qO^*M-M7Aj2v^~!325T2<k`14OmhXq1a
zXGZJqn?MHoN_v0Xz=N$CNYAw%KE#~v4SVtS3^|BOU!3mwEVkpY$oLj9$7=Z}NHW6R
z1^*_LiVk)y&=LKTsJ1`ZZ5;qGKLb$83I_lF*^3SI2&m`k+7{|Om@kV|ps2IM^d`T7
z-PfzRp!PC!<13XYAD3l>v)|4dFf<B(Q?wfAm$J&q@sZMc;s0P$BU(bI?`QXx#2gJ8
zTb*|%aIig>xD$TZRCf~<`QwKpsC{wq?bc4uu!*rTgsto7C}p*c<6f(w#CeO4D+89U
zyy0PkdDk+xg28nP9v-OR^(ym!2!Jakexo2{9>DG+pdNw&wchpjxq;@NZRQ_&dNN8F
z6NWg6*hrqYG-oPFTHu0c`6K}BJpB2I2<Poqy_Oc4ZD1f{>C8qUN7Oaq|JG^&oE2Nf
z{zlL;L%x43;L<KHH*O&x?xG%orvp>P`rT4<5HqA>`5nq$#ZpK@WklP(zal!3m7rmy
zBCdD=S-<;lIr_JZMDbYBfdP{Q1VIXtKH04HVDsz0nE?XHU;G)yyfo0k0b#t#;x5a<
z7mK&!dqsom3j3hfYJ4|bx*Po8{2PIy%2*ruAUxNJFRP%Mv$?sTh2+b!TSX|Cx)+H=
zJlS({|6WIKU|=wXuqX6wu(WdC0P1>HxxhyQ>37~R4^Uma<eQ;4QVfzML2|uq;4ttZ
zxf(DAI_>#hbuOIEEli(ppY22_Txt%e%kE0=H18$lwE?M1=c>ZRlTb9NO}mkamE-9t
zsm&3tZv)Hu5&WWlELNLa<5e)yUZ8-z6l65vuXLrj9Zjo1SwknA=A$jVTIeP%{m28i
zXXC4fWJxI%PK7UR&2LDCFvB|daV4dXwjOOU>cyA{bt1b>1>>J9dyG;xS19`IAj&xF
z-9=vidsGwQHYs>X989%@NX`El3R(hOUWxD3&wY-H+h5X?)Y@q|{u4?fze$4?u<;KU
zY4VPuwsvA-V!Zb!OfWw`R&M{&qvr3N;FSZbJb(S4NUD76H%#ripoU~;p|?WS_}`Qu
z>N4Sd80Y)bK}#f@N4d|}Xscg@`d{=;*}V^-Zh=D@mRF-Z@$1#FBnyDztxb(`jNX4j
zaq#7OwEMoUO-X83Rik_f-<{r&FU2Um^eY8w%0CZe4mz$~U3};=bWttYSqj#|Tv;nL
z{}a1e0raL(HQ8{nH*u4_8VQ~P_^piK)F`LJIII5OzM}x5M7%Ez(jHN8u$=jCouR0H
zbQ!z!Y6hYIi8kYx@w~u%%rY7K!OV5A;%fdua=BE3Af%V`-EQVMD_rG2oA{p>84<zt
zOC+vFyMNM_cnxiu8}^dLD98WDGsI2$8&QIa^#9TIKSJg!7|*&IkJM={WjrOBVcUBp
z1|u#7thg-Q>mdrhn$0U-`$th?|NZdiWpK15fv=Qw>AU@_ZYsOW=&$UDESyQR=lq*W
zpaF^%tE?jQ9;Wi2rE@M<;b4LLl#FNnCsUxiR8d_qO24<Tv}*Q>xdD0wm#oRafTT`e
zsMgq)B<=5896bIJy8f6L*n<TQ8n~Jj5M0W<3JrZJ3ch*B#r*Yu5rr5Ju3h=4*mQkn
zV{ldDDDSRc5<AyrV&S7*`%aN8uL`55N2?SnFoONx+Oh~a8{|Um)e=rPAKnG4Xns>#
z3O)S1({<8%!d|!YX5)+7^-*H5LThBPqRgk&!d-Psu2rcoom`;q078e7FS)G$E3K9v
z2UgXfr+B2%70vTr2ZQ!ImSE7X4II1!EOA{tWYrfsAQiZXr!dPn<p*SR71V!V_X>A2
zU&>ni%g?kp2&4(0&m{-^3<v@XpN9>1sDv)xf-gD4wSrCqh>2e)C1&YHJmO&cpA~Lv
zdiFwV&c`3DU06B%tNavj8Z6rlRXETCYc<w3@)_>vX`F2OlW%{t2nVmPZ2+5z_N4=*
z+%dun(E$`AQ7~?fLscscrupku#KbC(J%Sw&)jv=@8iQ-G?4)m^eltf`1<pBWPPAun
zV-wgbO4dAkO${F(v1<OSnJ9cSD5PfG46Rq+4O%q2mCSsh)5F`4a$cZ2GW5e$ySyo8
z=9vkOPqH_}e2*2Udc3jwuese-rN@)of(oqRYKzi$<lVh+fLPpMBYkCVm1eBisnhE2
zD%;>I`~wBpubUPcfvpkID8K!062C5j-!R^YfvIiP>LZ9GDc<j{UjzWekUL^@WRizl
z-JwI?0$>yxwN$(WX+Gbs)mc*@{gR;hzn*`jVx0}P-gNh4)O*9n*=IKrr{~lH)cn7x
zs~+Xu!S~y~)L6;*?<AyCF|dRG%{PBDOg9A7TfmUe@uTTSq6F;HlMEblZ-=l9y3TGS
za6zKdw1;hD0vM70zvtw*ALu#gq!|#Yv0GVu_w%fllW<9V3O`OmFVQ+dbk!!bXm^TE
z9=fN~yzLgmvCwh9)CQ;p5Fh+{x&BJ}H`B(<Z(Ty>uTwJMSbro&BT;{&CzMelD;FhT
zd$R4g#jl1&?0p4%V7d_L<AQjq1}p!4>>aE#t$h`Tf|DlDQ1ATborTF5pLQy6Zcnz_
zdz0N!q4{SI=Z=+;u;i$Wrh{QjL*5*W4dPt`a4+piNI}2DXFb+ziXXg9Tv-Kc|2LlZ
z%_tG^+LZ@;b1XDWRt-S4TsrNmS48FDf`#vJ4_VEBP9aive_e!!fQm~KE>5bEikQ$%
zWs?n4_Ti;x0Ea&eu)5IQ4#LY8gn*zRKx#1D%JIgX|NTx1Em8S|d<hGkTPOpP>C3D*
z{Gd7yeT2niW@U8()RX9C`Uo&UYg35%mWYlcDa~?=m*&+CWdEm<NJ(MWD1Z2xrM*in
z!{=>UXW_Yd9V1*j3fU8R(1hX7-D=eC>|aS0e~J%kZ;7S%IZq$422+68g`6P-Mb87~
zu$hBS*g>yw8i1Jrr~{mNfO%iMDfEQ+-TU`Gm+=;UaRk@<_}WW6V*u^p6~bK6v@M$x
z`l}ycO9#A1AKXF%{Q+6Qmf!lciMdVpc4id3PMgy1*PJPeA?+cm|B_4U(o}9o2DijO
zPnB{7YEd@)bQ#e|R52>?Pu0OiG>Js4L>%V>eklcLSr8#7haDb>{X1vg_#LYt2n+`M
zhkfQu{c!T6SieJV9!ufA(8~IGAzaRSH}VDu)OtKoX}3C*TYvg%z-Pk9gb{v8tS7rw
zG!RT$1+mTpoY}ST9HdEtG&{K#K8fofP(~u{QyKrwR)UjEyYd=6soD{OGGLFa0rCER
zi*M0tpv?aCPmbbq`CQz#$`xfTtGdz!=RY;dPih;qxUWB^V#Q&nPedPv?;L_aCkI=2
zAb`wc_G+entwmsB>7z1-sjOcjxy*oowiBz&P=jT|cAJ?i`O5%35peBe!LGm2Rx#2v
zn*@m&DaPev75y?L2bQ3&dhMq5(j2cH`$}K!(pn=8QIL!~QcoNXQ?!FVR(uR7H|_!$
zQ+`nU<M+7)psA)HfEIc0bN*+QE3F@(<<t5XfjR^E43E%zxi7UHj&$`)-<X}`dxyDl
z@XkcjF)v1KF2=;SrMPP8vNRLMH9n98{SBu<M+YRAA9xb%YvxyBNv_h+A`n9`G10hD
zjEV#b5`e860EkjjQqs$Q+NY31&t{-tLyG17(E`2O^SLZdh7lg$B`*~Pkb^zF$;@|K
zS_{S}$1D)CETlhN$B>oyrHarbKJvWisp;Fsu5RakoGnT@ArL}hv#`I-9c`fstgE)l
z120%syc)t$JlaZ3hQ;!${RVXR$5$ZgH9wTWjI6f^(L10K-9FyQdY>3(SA1`}Z~HW~
zltus07z_~pyy`X_g#^f}h_lHEiE|4*+UC97oo;|YvSCuNu(l=ukx@|0$j2W2`SK-U
zb&`#Z&Gq=?Xyka+a7jc<NAe<jLWfU`6vUv8WR_3tN8AKGWzs{Pt||u)cV8R6|F^HT
zO+g7Z?|#T8o4{}F%{LnFvZ27v&EEJVd6oM;>K%EPw4*Cglap_z&_`CY%F<x`#bwi8
z==mK@^L77LbHC8Rn<eAH4KuIpxzIg7Z<X;d)uwyuSD=zKOhCNX{B;hrpez6pTnLv>
z0BFPY^~bY;-#w1rM;zap4cTb{Sadg*p5C{a*%qqh4~%w4rrpml8NV`Ln{BU&MCbld
zxs&wSxI{9P{ztRqhl=Ha|B<#{4e{XSrl?`<K8Bd%3=gQWf;AEPN{~|aQ5-pn%AM_B
zrNbVCpk?2i&4)7IgF}QJw7(^~g~~gx+^i5-5q=eq2Lj8~d`sQ`S@34q^mgV3+V%d)
zwB1m6vSoP*kePy}B0{6x)+Ks1TIDBw4$=7TgTJ-jbtT-Se{|c%HCQLXt%<HBL`^nT
z{Tj2Rd%MN_FZ!h9WOUe02wN-AH(9DY|5+(4UetnfOReyzfh|?vXvF{9fQ6#?Uh&VY
zJR&3ikHO;CA0G)Q`@L3tokz2Nx4gnjQT^hwySJTo$7uJsaxVH-IdgkkD|Qyv^3Q>~
zu>uNSqeg&M62avCrq@Vl-5IrUKonnB<$TFFKMFC5O@6^6)^oK&gbfxe;=gDh8yiru
zPIDvED^N&>*~{DXy4TH)`L&lmcf=d*P#m))0A2RMK%nrG?+dsf9SBw#WS+(-*FBso
z%Kkl{1Cy$4P_!bNEI0Qc@PBA2vsWyZypIG;de34rg2Q;Z??w4MO_@;FyAH-F?;r!Q
znDhEC?<*VI@Ciy~jGSAQjqBE}ziV;vX+ku71p?7>c7ScD;P>xCE5>vD7G;X$_nweV
z%sB-IGl8fQAIsqZuGcj_P8+y6^~_Sx<Z$XgWo7++BDkVMHA$*lYJzpPCqG2>|0Eh^
zs!@2HHWm4*azmvY)Q&eutAeR1x?gfYTswz4dYVVXYtt$TT?QSy0|MO}^b9S>_gFE<
z_OL@!f6h6z9I5P>0JMmS=fN(F%fB*7@a;$8o{_+{#@(ZCnuh=-E_Dh4c=1cB2(<WT
zI6@v&j{cfG|C?voSLU)p{Sa~r^!M?B-z-D1J*+Z1STt<IjLO!<ZQd<Q4m>!=a+!;k
z-F2$Ed5Yeb^TxEqh5&+l<eN^BQ52CHZ7&P%ckTUo&r;!~qCml0OCz}@ff_%EDlPsk
zm@^0z;^apjQT<j9EJbz`2lS&fAt71pMVXGFk;G88HkTrF6M@lFcr)Vv)thv9^}E8m
z3TMdq5mKSIcG5bLRInZdP~^Rfi|jB~xtQ->ZLF7=x7$hT1N6Qb;Sv8|>SQ&T0dEWD
z^|f~<8UnR3l2o|&AT!br{)djNs{8Y~iE=4*oetu=K?5Cok{ui-&3*3|J=#ZjdM^{Y
zL}MncGxc?y*z8W<>%^x{Z>Ggxbe{i#Pzcg~x*wE@e;C}j>q7neA=B_87Gt*gdJx_4
zUTgeJ=cRcio5s>pYh3FO<HCJze%iWa<Lq^jlJKbFar2<<-a=Ca+74hH*qs}QC){(W
zy}&RO5KNmvV`F3WKsy^~Z5?uE4A^>mQ(Y2%)_=a3ERlObpX<4jgMj!ZHS3Khf7mdL
zc2+oH+-}~}DYN)Yu>-W-u(u+9-BK@(WEH+<7b)>h4k*XABr&OZG(f&mMQ@A0{Zobh
z;~I3+E1l#OijvcTPPc{{_j8hKC+1l+L~vG?X>B8(<iRwS2z2YA(^Iu)bJf!^ZPYMi
ze+M_Mi(`4T2Kn>;dz8shw9~UZEb!{PLbZ~)O|R>3L+Ugqqmh@)1Tgvld*8;$#MC)q
zVw3!_vb9l3Z6YqyFqyfND>t<BU``8KR+@G1@gc)MR%NX^x>8eRSw3y7o^q}{|8&?_
zthLfCJxa~kKXoFBmr+|o@onFTTqAAhb4E2JrW*u$^jW*4whzjpjZ95YOA(r6z}Cf3
zEd)SHALUj^9=49peC4yMR0C-VeU8w|p_XMQC`D)~UU*S}VlX2-ak96`Kl$Ii<Xha}
zNj3G^j`z+>3+A!vNK1ukOYt@ZRc_$5R@E8k8Yez;L4qdhazi)Ot}Mf5YdaaUVd$(}
zhMUXK&1>J{wQ}y#pxED;vPzJ7@%Oks9LC9iUX0PxTJN-{f&rWa#qyVZ7!sEi&b#sa
zF=QzROXU5D_H;A#@&EK1?*lI7AN_(hPN78+?IU432<1K-xE_uCmS4(O@n>It_TWgX
zlG4%0*2ML0(dt+Q?en>NsdHVAHB0u>5#n~#_<wxK)iQqK=iG9t`L$s%N&d;XlSw)A
z`zV$u#z2H9WKusr=m*NFw{ZP3@4vq(3Z9SvTRXfo|1J%tQ@O8rAw#IS#q+C!?QWz3
z&`ohWZ{~2QMPv$%;XjNcuiBL!dj`ud3R*5AKN5&WwmO-af2-2C%>t2aiL9JOP)6)M
zk8OaFPyu8@N7TX2kGIikVb%;rO!oc2&Mc5My(}TCUwt?9i(^{+o`Bj*((q#LnJ)$~
zG8o4`o=TC+=TC@C3J*UJT^a6!CaDNZ0JP6-NMKUr_yp6pNbAYt<hL_L4P>A(uuhQ6
zTm@)gkjRWxU}fMan+=kb5ssy>^uge@$g?Oas+G9v?83*e^`&nyKKtxa8D<-9*`L@W
zD1+Ec*XEv;i2~FSA&_m>DZ$h@*v%N(zKP?@*ar+-QUFwBz604t><fPg!PmCAFe;(r
zNgGV6{XmO6ty)>`WVA({NpiAt_03acODv8{E@~aRiEHO<0wjfGk33NmOdvu{;y+Gx
zZtq0YGpR-+W{;1^JVQbWB<P@veb?u{Mw#*&nYy-^_g8=1FSU&>M&&D6+n>8mx>Ld(
z0yu_t9CCL*5X<r7!0lt2M4f~xiQYRJf9VTbsyA~g=S>(P&!+b3*d1=0O?EFyxY)y}
z0gwyJ+*aIbdbsiD?H}-*v%=xWyV8x8-6(|kd@!0`37RvU@x9eX7wUgc8ccXyq%aCv
zo`HJZS$Ot1t?2ITBYEd^#Aepu!DSotzK9#OzA-KZ&#j_`)M(^u0nKs~8W~NK4FIuy
zumM3BfEhU4{Se2t1|?&w`u6*yRrTx?S)3CiylPLFXmj?JC|=C23#=Hv(TPdpsjZk4
z$NI<Im7MGDij?+>TI6McH-Oi5ntuEJicr|$CVRicpwpAI_Y0a$4Ny%Ux<(UIgW9(W
zdbgE?+_t*zH9Y9$YVXi@lJ_EkHz`4;s1;|qY$id%8HI(3RIdwOVxj&eQ)Ax#*9Cm1
zP3lZLB!V`(-b}N|9~G(vLk+trH(gofm&*p%UtOoTLmvzk|48T)ev4bg`<{5lZG3)6
zf{18t+|0Rr8darR_~gT{WgyU-8XX#NauQO)Gmr%LBUFgY&{k;(dX3!?a`0i?+~#|n
zCn}-fnz5%gdL+iKn83&N9fsPTYHfm;ihefTd;tB+jSd(k$Oig_WhBcROd$GSv_?d!
zsjP503c;nrw%^PwmVJl2aq7Cu0>vo2(WR`!<@3l+`=d|kD1x~ohjP1gbIn1=q$H&4
z+hjH0n_IP_J|XB4Z-~Z1`I>iF<UF)@Eu(#-%A-vCTU45mJ5ktey2vDCR;iti&4$)m
zm`+WE+sJcNK#B=3WQILrq{MVw8V40j?4v@N3|HBDm`%$HC#a%vJ#<gMNfT9uOaE)1
z0@)zx)gDzQ`6WFWsc+QdbvSsq=Axc5E|GEDBw3aCY5Eh*<5<UZ^H_=vCco%Tdv+o*
zEk*ODgfbPnj+F@}7}B`2@OReIf+CrAkBU2E<v<`pvc5^7=<v1(LE>I7Z>?a!1&iqy
zlO(53-#nTTx;Kn)R(7H2E>$iPpx!f=12<@Lr3788D&|u<AU4B~(|1E}*QHz2RG|<}
z7Yb1B<~i>85a0Bks#B{4KX1g1SmjXtJZycPHl1xpWA9f{C0QyhWMM;~b}wh#2Ez6}
zNi%1f5JuPajz+U1TCcg4>gM2-X!ymJ-5}Sj4|~qxZ9Nfo<yC)5&2p93`|5ng&f=tB
zqSVkM1on$@lR-DkH;TDC`>BHZpjzGanp~equHPqQpiyjuPw7fO;lu-(zQv@b$VN3S
zSK5T~$sZ?-;eaSvi+AgpQle8WOUyqD&)-KQDnF&0SM$9;G@Z=6ze-tQ1b_{lO2^wi
z3o_kBI;%JXLCtc0i3wA&M2rYiZG}&@0TmIlaLw*qA;d|k<Oi+5s>{3BK}V<R8D}07
zaggr;FDv|+fpFRA43fssEyTzOo6n{Y2|ryPX>IOr8icy9Kp}OO-3qhE*A52Dw`Y~y
z#)wy}ua7Q_8`32n$8<hu-0fQtjT+|?1tZ0LARZeGpz>^o^u)DRRilYU72TmFD48Ep
zcQkJES7`~_qw!Pvrz}ap!((1(`!TlD7RoL`{b|7)tZ<q2R_V8F5Bc7{Ft(Eg=LLPa
zCYf9WgxXJGhn8@7X=<}dkmzjmT`KTkC=xn1JV*qR1>+%SUh#cM8E&v-{0xC4XS2zo
zGUmQ$p-0YZM52&9d1Hj(N5ZXsJGQ4ihioM0ASJ~TeX+oAF$Oc*y;&hDMC(Gv33O{B
zpQRsL20?({L5i%#vC4}$RbiQw_LzKbLy#Q2;`c$jy2Z<nrKu;^Tu7ash`rg)IlpgY
zgpsAwU0%CuoZ2zN@cgLDA7UP@<`G8kK*NTH`hS7a+P#k}r*cy%|7{^9hp<t6^mT2!
zrKE$~+IL14)E;p+xH%)%A+h#jEfxFouWSK{-VhyeY4CFqv>vqPe$<nMXIvjV2dm^(
zM%K@>qX^N^(0jwdGYW0NO_m9w8!pNsk!Ax%+dMR*!*QY;&y;BmlpcV9E@B)VSD#HD
zWlpUv5$Mw%!$A27qg#K51V+S$qE1d=oyB;B`jN6e!>4dUcR?C5m9sZ5lV(Wa_tR^#
z8Q}-N5~eNR=^tL;>GKrnxeg{F>!{D@P~<$jvuQ}2D6wM|%M(Taq2Iz7Jr^SkW8yA@
z?pUFzMMMipgWCn9qVa(rhOyILJadjPpA)Y=EH<4gQCZi(sJoD4D3hss`B7E*>W(;F
z*e*=Q0YY%|+kxEPv5H(ejM-`&b?mID-o`bXT)1A3$iD}4-}mF5yr@4cXCCLNv{XKn
zLgDLHSmt3rD4uNR=E!qHUKZ7A8RC@kF`Gr<pt+eeks^6QV^{{Np<)zkAJlz%qOo<{
z{N-4pJq}=KFBn_KgMEeLQ)?u>DD8U-c^e*@X_R-ZL)~{Wc_HTY>(2^%+ivYs-lhJ=
zE}SiKqhw*$hY0xTJK70&PCR?M{hq5}DlyphUj4z6-brpwt-LANjBgQzblSzl!f`;o
zqCS|}%f$W+V1i+eOAMN~euk?OjeHXP6$N^rW)#6ie{Uo%5+F1hO6{hr9u2=Lr3IgW
z&>(}i#Nfne5)HaWqmX3pdTlap;XEO~Y94kL&2k#x90IjJUGK2Kvy?)6da(?KHpF(4
z8LyeN)OAL^!zwQ4>edB7i%}!uATciSh3EFU6O$4c7$YzVK|!0k@7+7jUI87F1g&&8
z(7wg!?Jkom>AtmMu@(BxKl!@?1uI4sOf;UYa>owH;qM%XMVz+~VyA7kd+m|6I1b{h
zQp)B)D{FM&t0oMocNPQ56FPJ(6jqc~>DNa&87fA(S3PXz$btASo;DXZ7z=&rj0;*G
z#1Z3+U$CmAcDrR8oR1M<C_Cit(AAIz<9&ttuS2hir|L_Cw=~M1Xx9zfb>w^|MVFbD
zMDx)*EQEsh{)k@J!*{NjEO;Dsl(UnM8EN<^kv(uN;ge+>hS36HD~%6Q?-kE4pYxqI
z8{qbU&>(BQWGK^uZ;v8=*jWrOJdT1o)qW&3mr<hBBoEM-m?<^?Wa7$q@Y9NQc=|(p
z|HJRHu5mTMJV8+#wc~{Sx^(aF7s;;L<l>n*DdEU0>>AI>>nJw#GNV>+($09J*?eM^
z@KWxJWe{ec5v*)K6p!N(o=Pqp;(f<n8jLYU+TYSBubuQ2o#ZY^7`eq^QOdO76IK%7
zM?>kOrfoF1!$mD2Z^CZLoPP+myas|i!F&?&y3Ux7a{uAUzP*t~&Is?2_Azty=wP^3
zG#9(5QN9t4{1~w#4h*R6D?MPbxs9IkrGAKdKGhZ12lWqxG~NL7OVBm=)_NYk&wFhx
zSWt?K{SaAs-tmOj#E9FT8p!a8K>(+|9<;2#p)3#yfWovs-Cl!ei~*KDLc4FK-P>T@
z?AwE|Dh=Dhw*HL4>z%-#01XirX_qiEVyS|0S?c7PGDFTerBFf|JoEX8l*lP_6{Crm
zS=(p4Arv(qYrP?|FU^508h8${+p6LOEbDiv479{F#V=J;9&mYLJino9ObW_vdm<om
zPm+>ZVc_>SEUy+l*LrXm51sB9mn`@W!}F&#C+wbIx8%UJLVH5iP?GZni@b!@JXsu&
zX=RW)c{K)MZop9*ZBM}nFW*GRa-*qDt&$mG0*`k*Fy188DkAcvm!^4f8n^)Q3|AlU
z%pJ{s8Xs>b6v$0X%vD;-#Og<mEEK$_4^*5{e%!2Z)SVYN9$iKuWXR6&dxEtTUrg`M
zyuXLEU+i-ea_hzDiXQ2^abXbgA8!7Rb|0C?x|9{mys3+>XH%iu5=&O4wO10?B6r%B
zE0O^Ze}~we3d|K&pkBF>8-*#2Fx^NY>%*#}M<N-X{$zpUI78mZzV0x4Q9VKh&gkTa
ze1WypE17H<4?0pv5y3yMzT=z!-itmSTE4Wzi$6%4%}!rL<Sj3TPX4@RFbJ=m7@_}y
z{s}P`MlT5R3p_QsT(l|rB$cc^?oFRrZzuE4-6Xg0mP$E7pm*myj~JJQn2Lb`EMxoA
zTt@;g(C_(3ys~SDv(T{msT?}-1xu8fjhfc)>BE+J2`VA&sp5tubK?|8m=Bru4pKtv
zfPzGcG%MVDX8bMIkK;JN0xBThU>)fTses8&KK)SQY6VNa=K!e-DHxKe;oTub7Fz1l
zz-xRVGZ8w*NX!yn0OU)zJ<w|#-HFpKYzv!y+}pz8q4lU<n*G{`g|}Lw7#|}&;V7i~
zbBvETEAqESNrga}ZpD(pXL%f82!47a`K$kENWu$DYO+A*^QrC}V5rsbZD}b-7S&E4
z>#Tix=BI$*h-k*_-pawFrHjp;hk-iw!i+uqL*_Pza#AqleI;lalhZAkz^_wfn7h??
zHd{%@w3%STfyJiJbO}`rR%F;wH-Hw6M(v8}V<z#zs9+~Z;8V*I*BlTYFnO~j4c2_c
zL{B;c5=&iIK<ioScC)a+2k99kjC$~bVfXpy@8|1V&=sTLEEc`U@B?XZt~CzGov9?x
zlGH*<3{1Rk)18_AqO-qe+eV(7hCwknxn5^k1ssi>c;;<g<jw*IIH0HQR-4_e4b50D
z+0UISW?!K0MkUIPu~Xf&o%Y%jWI{TuFCMr>y?v9U!gOu+wiPsIFkQE#guJte#;!a(
zwAlJn8OpHh?J^M4GIP0+Tw-9n`?J*!dQ!ZT*1B<_BU%viTY_I!AGTU{>1IT$HErBv
zO`*vsMqRgC<)GL5`EtI9x7Je$k~Jo0j^reXG1yO&Gyv3mYGq0VYcW;6-)(zXJ}o#{
z@mheMl&%Ov4cRO50SQM<g*yf}#3?kR!AkzufP+w@q08h^DdEaSgZ)Lbbi>||7+(IE
z6l>0)8u~O8yQJrXo!jF5P?kZLn~7BzpJB_PqeFefh16>knw2GebniX&595aRxe{40
zr6ak>uWXiyz_^REYk(I{yD87J4+X@{doqU=YPMMjC+{zI>Dl@luk`Wxi&cHJSlnvg
zF=<=H1IXrfe~R-(6osh6Nc55({)qZvb($l3Bw@s(We}6U%ZuQAWj3JUMTH(HKz!}K
zS8!j2z7vzwx^Z3gi$qId?ep){F6T05+fV7=9KRgoQVoC5CI@cwnS2(LC*c5LDhQBn
zGf`Cc)1W{vt5N{7eTty=x)7Iy;+&7TU08<1aT#zSb&ty^yBydN?b9#}9F5uTIr~r&
z@*Ddw*C^H{mmhYd=2_%$lSz*(X#ICW2wJZ@$}D%*4s)|KbHX!_C{@Iwl#^ehJS};N
z;ohXZT-**<8c}7of5Y2cO=G330^XRePub)Gj<KKUWI_y$&fJ)2!8em|+N%swiQ2JH
ztzl43&9WS>`D+dFg17H*#rV+zpXud%usneaPBfVdtfnB4<tN8$T*vsR9Y%P;OZC<k
z@t5XEU?f*vflG);zluiQ;nGO88)oYJ3O^xay?r6??5Mx9pSDy3KG<phf%icL{YroI
z^GI5Q)Hps>ibWDRi_a?g@hP~V4T1m+ylduUWSuT_F_seZ<)WUgZCZ}d$cQ{6YXZxg
z<<>u_wFx+IA21$-5ur9p3b<LRdEqbs_?eH$e6-TH8;7bNcZo8QtdhvWQ)vZVXcS8R
zbW3WpJ@0%K5A-d?CXMW^;o1ns>>u`qye(0cmdlN^Oa^Xue?$PUtAF}!Dc`ot2N|%?
ztZaf_3!YsYDO_!T^hlxpQ8iY~4Z~hNo&{4=Jf`+}o~-h+ku2RhAeW1~j3H80d@6x@
zG^86>o(^uBC8SE`tUBM1?eiVc)f-<eB$fp$DdoFc+awfx1G30s*FsVoRq;$8Ur4y^
z3HbCB!8qICg>!iW1h@q8;peM(9T?K-5A5l>=ht*TCqKr1><8Y28pPnvf>47K44LxM
zoD}WDJIxC@uuIl+;e>oqa6@``tcZdF2bVwXWxgJ}72Ay4u{otss?atoXyxQ89M7fM
z6Z2{2(;^_oAUl5b<N%$lK8AA4NyE6gk&zO2_*nz92vCz8=Q}8!JLUlMDC=%Hp53+s
z2^>X}wChmI+BhEb5-4rTmoj}s9O4rVX^Tc}4Bj5FIazR5v}HI`_r4jg3AVy(E*8ix
zPBCtIEPWys5@j-@POJ9Ta$DcNcHoN#LDKmoHow_-f)*DQaTKPX%pUEiA`9Q#p3;Dh
z&m}j!Sckq81NUI*`6TA0zO#FU)&&-$&{Y0CEk4|IUPrn0l`EQaa)e(uim@y(Ra))>
z5)C7x@4OGBz}3JN65J2@^T|%EpvWo24RUpzJXe1R?n=b~*4;E(4dJ%D38lpg(VmEW
z5xvH9tykIbJ`Y%e1-=(101>3)>s1at)4d*XR72y==6r3#0Lon?bX$GS(lPSqu4<p_
zeIlk`1jUwLZhNV}I4^i4P|6jjv0y6-ewD*Ga~R=`(9JLzB49)pw2n8Pk)bRCb%6FE
z-6gH)TZ<ZhdvEi$228DeGgND&^{&R9Xf<af22U+r7a-B!#AALq>!24Rf`}$(5yM9<
z6WBFt=y-TriV$;SWEwi2`TMy@*1*(D^VlDLR=zHRc$uB{QagF&QOAZrOSN_s)fgK@
znAuc=y8-&<*^6<ni+b%&O!D+rd36v(r>^hynuOhTMz^2Pn#zkCofsEc3Kc!!+sdev
zM!7lmSs1{hK4<5ku?LEau;j61Q)wE&ljBrJ-aY@|&G2C{>{Ffy3moAxw-U-nFQP%(
z(-|^zolzOfZAn}FYfKqLP8CrdG=Fr++2&?r$_l4p^vD(8$p0?-SUI$!T%+9C9aY#i
z_da*>My_<sMZgdNX#Z6(kl4<@ORQp5G)ym?5T)-Li}U;@Q*ao|KHvYUb_dzope4Ps
zrAaa92pYq0FkO4|;G>xz<GqA&H>LXG-MC(>#QV$xVv7nGy?WM%EDtBGK%yH2op*YP
zk@n3GdJ8vWYG}Yc_xKv2ZWSHgmZ#R#Qc2`W{qNwKpMc`KwYN{wjkngx#7)uRi{umY
zUu|ZRsJ1vCVOIFK$IvZ%YWw^<^z+8C1Y+P8KW`3rMEyQ7i#3@w6qpgG@u=|n^@A_G
z#d+vxr&v(%#hh*hYWLfS<M_;4=L|WC>dR*bVOrwU-Ekr2vS7j*iP@Uu_0`WOz$n2D
z57r(OLQ4sbcMEAhkfe5YsJ0)le2;TxcXri_aRg?&pg6Y5IkfC9DrLao_U`6(a$Tpr
zx%kpnD`uo|o|=K$z=P;BEqJ8fO=NKq=reraXY)xkbMn{;y!JFe2`yMF*w6=kiRY8c
z0)L8XRx=&!n$dbsw-keDeYML_2rxe3y(3tLsu$z{F8A|bL<ED@mI*8u?36DVfkN^*
zsd7awR`~p%?-t;WpzXU!{GQDUyQ}n*k42g8R}CgqG#v_!4<0r(s0Vi4_`K8Oco9hH
zS-<h9lCt<VihSt7T#_iwsDy3Xqnr($PE1P6x^szcFEBZR;{rpPDtD};8qV3Xu)+ni
z2jVt*D-eAuw_rG+?OCaXUAZNS?<=A)w(Kl^sVapZ1MIB}zG*d1Qx+PP1W-|fXu-BC
zAfg=LRBcurW@o(!AL$=Q42TV1NRgtYiZnRe0fKvQ{}<`8vV$QBXYMF|Q#c(M-arfP
z5v0G&oF0<+8sHNH*98E`20b3-^Uy_kssA!xHv#Sv$btg`AwN3{shHmTPohMl)rN_>
zI`b){!HGa*0gtVIkY~NO*Kn+Ywd<?;UfE_r!*a<?-<5x{689vg?``(CXrvhl++##T
zof>z?7oi_Se!AVx>B{%X1L9G(r^BE*dFIhjiYgBvN7@%O)Yxrt*=Fnnbr5sKsnW8T
z3jp}niasooSPJKs${@D*?Cs;lQb(N^V&FQ*i4jpn+Os>{X{rWlI1duI;uK4b4B{H+
zp>SD~MJHlX07LzB3%Bbh^xD(?;CICmq#tagOIJPJ89a?#wE=G9EXls4HWk~ajjsqg
z0fK^@MI}L!k1)8zLYhCp>`Qv}OLMPLRz*#L+5;`ILdB->fLhNnY-Y7`a@61)Uxu)8
zm|<A}=`AEzH1Z%tB~XqaO@v4xSzwpwJzB*AnUt3+Y%T=B-LF74BUeOmn?%1qQzlz=
zXTg2jkPsiVnKckquKz&UU@CsN1)xtE0H$6>fTeJ&EQA+QFoJcNOOE4BK>yw|;Cos7
zc->Rw+N_i21i?ul1Mj4HP%Xjc4TeO3gb%OSIGM#tZ;fIZqyR2Oq%YMwmEQ>4pQiwG
z+nHsX(T=T!`ISfjT22)inEAO%3@{#f&C93hnv;AI6W$R3i9K^ciglN9Xoxs#=Xn7A
zO@kdLs~$HOxyINw`A*_}OZGO4lzVD7Cz_L-i&IFqjOK^Fo5b>;m$toBU{)<LpbGqA
z>G*6_Fm(sI^Z{Fa2bliN*>f?Oaf_808mt&+0_nVF0a3LE_!hrgy1URy8F5&R1Um29
zh&#2CEO2yYq5xf%1LU9+YwGy}>K-wtgr-jJEVL^ukH0@KJZQFgE(zQ)=l(j|B^*Oc
zinN9-4Pi}PUH~mhgW!r7tG8YX-dY#1cLWwhmp4zekNUaBj^M!EOw#X%ODzixmB1BI
zcW;4ONeznN2#*Et!~3Vd;-{_I2+S~3ju6}}sWs9BwjD?e<;4-T=e6J>{c=W6gg+$m
z!#GjCzCm)dRY_?9@EIc<*k5Vs>|1P~X>X1Y8+m<od1!8(#jCXHvOIdlbS!UPP_930
z?sDj}&6Y3_Y;mxEsF_|S1<W#(mbwp(6RbF8Rx`K^j%J(Pwz~)gQ{&e!M(JUEERalA
zec>$dbtrAs*F|m!lg_V{<lH8hGXk^7*?Q4FqAL|w%U?^8X8YE#gmHsV4vmmvgby~E
zzsGD<0+xc?*Wk@iC*~7~fnNK{S|J=*CmDrIhar1mdcb6C*e2A_Xo5F_>gF$<xCd6>
z<WLR)?0FX_t9!H46i@An>DL^1H(|&yKbg>jj3(^i1>N?XbJg)}nR?9^9MtP=!N~B_
zHS|9{%lF6;uRcek+XJ}PKy!Zs%<ubAlI$jjxJJUQ`IIJMHX><^cB>AJ2hc*8!}5|A
z9<rEkPHlwxAvrc7b&<?FGMgJaD*eS&>@N^;STEzQBV<mSOr@2I#2eF(36>N4O8v53
zDJ_^0mdVS8h<QLQj8`L<bhzRxy>M=@u}|BoI@^yo)0R81LVVz08~`E5sZKk^Jf=FD
ztTU@K*7y;agMP-YGo;OR8)E;R!P@($Lzg`nvM^8I?QFSf=3{x;SWi7>dN<yulVed5
zgK*%2z^24AUR!UsF}v0oN(ky8_}7&o+&Yxkb)1T|W3pz}T6yN5oRG@_bBnXoQx1b7
z7?G#BZR}LcMtcpuAH>S~e!e#y8B+MTJLM_ktV?8)Y6(^o2ddJJd6^THA_lxd4a|yP
zt+^6}NrY+LQIk%|fkg*NF7<G#>Y@|YY!>!N-W088`M%$j`;)%gh&r$PLN(<5&m#3-
zPg`GO<A!}bn_djWCs}*4DvD{e>AI(y5oWp>AdCZC!Hpd}K@$9Pnq)|O(llyaFXbw~
zCLA;!_y@vnQmZajZ7Hd=^iI~m?{ICwRXJ664G*>7dz>Z}f#n)q_0}xidxoIwK3XtN
z+1ibLy5ael;TAN@cdD5{7C1l9ByRv*7DXO)$it;`3@wVrjJ)HX0|wp{<iOG2MQGr4
zHRC{TFW%Ldrfs4gVpuA%`DQR*w*=k6)lr|7#CmU_Rxqm1IwLEtzltOfezQeocKC;=
z9y?1hs?;@IVC74*jsw8-H*X!YLdR-@z6*LUhpP2d-MfzadP+<FQ;L-QYQDp`_nx==
zFV$i`Ik238D=R#!vv480-1`Z!9*>q)xsg%%M;Ezf(>3+zPQ(w+cl!a~G05tpu8p9@
z(jA56l1P>MJmnGzkXBUlx{Ct4l)kTGnRc|r<O87BOxujT&Fpi~%VFu=N%S<>_WPRa
zoShXB2=7H#`GQ9Ij}=6d(od*>u`5-G)Ot#~Iq697xBDMZ*B)#w%rTi*1lGbnw{7R|
z5{;!!2~bIn=v>B+sZinTY5RXHp`NpmRpIzj%+1ewD^R7SGtQ8o({Tem8pAiXtzVC|
z<;6dPCaM9w4e{0bn;3C-&u8IEg2ZHeH;Naj>I5WNzZliNpFC{-E#LGSALt*TGvyw0
z8XWEki)R2FVNT~K8TH`79P!l}w|0&d7u4X5_9V27+Zj9P(dx*hZE5rZx8<ZJAR`Zu
z_7BW0XI|qsvkxUFcg^I;YZU|Y*5rz9$$T>_mfsvVKunS{Y_F|5gn|YOmN}&SZrj+n
zl7FfWpkh$eNXrx+!+uEC(*cIjPX{&MM7b^eGE6G2-BA^+9m<%M0~4Oqk2kWhz^mBZ
zfjM0QWT631-969H@$$`C<6_kPoHSZ6hoi70H9>NGHPWg>Lt8>;*BFMhz82qD4BVQq
zkOAM3TyZaP)jCis>Ih(`mH^9TY*c2KW?rk|t0s6_|AxO)-_1_#`DGDo(RY7g3`YiO
z@yZ;pW$vz3it=;eJI8%91^Nbvh<R(MmYF1XNQbW#y-7X2Z;PrmWFh3k$Zc!kES^mJ
z#l(kWobl(ok1aqT=L$Al5P(DOp{VEmndnWl^LDbvV2+r)Xv=k%^J-HhcL8;wf2*0%
zP#7?!JIH$CE;SX!tSJrds(HefNa^hPZD?5MrG<j`RBL`x_BjqN*PC`#;4a6Af(qN9
zV-_(SH~+>_AVed$-FtMtn-fe^hcKWA1DVHH&4p;oUKSoeB}}ooRE_<F5j8YzGZTLZ
zUX*7I#Q9a_nhKM^Q?lEnNuR5Ns?~5Fv|?*q1?{iJ$E@|<5zZc{4}iGlr7`r4Vb$jp
zt@LR9K2hd(RWrT;h`bO-0f&A4l9HIFC)M+3X~n25;3h7m5P`v)m6y~n0m`5^P$=l(
z4S)-UM5ud7H=EuoDdl8Ld{lUoRP$?I@RQs=d;V(w4PXG^#GT2TX!7%{>56?NgysSZ
zBgKx2y#vJN`HcmB$Z9Rx`xR{{KwIFaz`43V<fN(EmB^kl@Gwoaq}F`$o9c?yLL;Tk
z<<tt)%N|3Ec)IX5Q9SXFuS?c4aR(0#e5uICL(E~pau<e--Pb`?2~$Fuoy)AspLt8M
zY~7fBWj-mD;ll-?_!)dZ7c*i|65xikm(6GOJJKj0JUIfI3Ukg>^vaK`YDdKlVMvV)
z4gGx5tv7>cq1FpsB)sGsaMNJT)QmEl&zKj|NlTbb{2bUAAj+uBTlT5x1y-4?a3`K5
zIb@*`^yNSqzWwp=iqcVdw#Y|0aimx|Q1dR9mOjD|>LV@duF;tje?y6sTYy>NTegFK
zB)Ik?9%hET33e~NfBPO9f)#+9GcAhJ@j5J;QrC)OIWRuO-|Fv?iOn_NC{xGnZ;4H3
zisC{ar$@g6GWvMTyXyU<+k^iXS8o{=b@#^aqNt#Vf^-c6N_WQqN-CvvgES1?LmPAr
zN`ruOclSdM-3$%F5YpY@+5XO1XZ_E4!yDFufp6@+@B4FIw=#X$E6m5B)EDE`I<n1B
zwAb#1xzoeCe*B&Zjn9euNNL`y?2y#IuJ$cQHM{!cN7k)-&W_NiaB}t?(Py|Zvu}%>
z?+)4twtV+c`5O7Cr{A5l`mS{a82yoV{q4_jin+Hjn9$|=$jl%WYi)anJ~(A?(D<Qc
zb4yCnkJBG?^0V%iw%D)M54+@wHz-~?p-Kqoo@Kb?TE2#c?#=D;{@HFgfbUFm{i8GC
zz}*l+()9b`KmP7;$3mRK?<&_X6o_z!&+IicG!70Cev}*_H|TgaV}brh)QMg8exOaZ
z71#Zxqlz0p@CndQV;hk^sDM1Cvb_fX$6SwJJQHL15vOrF=#L!5v(VuOE!vtPI6&7h
z^buL9WW7Qxebx!zCLu>d2kBj(e&R}lKjRJi9Ci?zOQG$~)OI;$AKM?a1=1)HOBcKM
znl6r8yQ#c38jd_GOw4EuyT#;lekIU}xHdfCor;`(gIOhH&zs@D(zq|%`SV)pmZy0*
z=fNU}bnip@_{-{9(lXs-Y<xfCmqt=t0c&D0v6KjjSNs0&XvKytY$!TFFKd`ny^bh+
zwcP6C3v&MhA~l-<9Vz0Ol&AotQ?<G2BEKt?9(2i_NY)gZs;g)<wa#?AGhH)pKmIpZ
z`t^6u4>tu`FO8Qtu;vzqSpA>LM+w_9vaom!{omJPhw$6essBYWpHT{a2I;+-|4DNG
z<s54lJy{lk-Utm`G5KEJ?C~9Qi)Z}*E{WjfYV^On<8oHCQu|cvovWVbW;P@7+}z_I
z9DkH}<GC7$g?21^!n3yA_1pdH-WV5CA`Y*H-|O+xDN-Vg2z8Q;c;g)b)f6zR(b#Kh
ztIPp~O|^4VS=-VG+uWaxw7?Td3ZNG-#-~>PV?<_@a_|nxx{2?VgpCNn3;u8m@;85%
zU*};!#9(PuB)ljUA#3eYt&h37yd+RBbkw2!@=Cd#41s%a35vvy>LK3GgS-Nm{-qVG
zu}ol9Us-K(VSl}wjGo#%TJeFKy9Aowkc45ZJr`!u!FXChFLW7=mYKeAVV92=Cs}d-
zs9~<aGPLEzfSx(qO8224E#E-`Y9YH<s}sdZhi8&bN|DmQC_)qVuH)I&XLzc2{TAuB
z5u73uk0>s@w~iBShm6B$uiXJ+v_qww3fCiy1!4%5Trs8t)NQKc@$Y%(;jYsuLqr&R
zL*Cwo`;w0Ua3^qkUvyA+%NrcMc=aMF@BhOv7nU^i!EbWKZ>{v42l?vu8nzFBe+PMf
zh&{=VubzaOxn?8MIb4NLJgNt2WzfN~43lABkP0>*l=yg$*QJLb(d6GId>`&Y1C_&+
ztM3jG;KFZ5ufA!YK76Xm=_USyB{|KoT%`k4qk7+N=vxbr>Mz>3m8-_}T5x~_ivJg%
zhJ!lWCS|xnz#F*UCf%~K6g?|RgY!>~Wyhhhfs9Y#Uj{eIKZrX%1)&Sv|6C49OB|jc
zQt={@$F<?V8_%iQQtK%r*@?)B$9z*Y-;wrOJ_yYy_6dzmvQ>{{g=+`M4z6Y2Dhh*2
z5N+s;4V-%ugp#Bt@Gx;=$u&aNW#bd6i`Z#OmH6nEMrq%KsBAl_cS*E_bCH;1sUUXt
zTqTM=IIl57l2Ob|xsM1w5^nI-T|^#V9rru`rxq>4|Mi}U3H=J(Mnd3Yy80w9kF0C7
z%re)-{Dd2*=yuaS0gZ#Tf&yDoUi|oPS$f6Gz^AkFUKR7=mS+mnasg!Q?shI2(0`op
zpHu7ag?i+xJ14gJx<LPVx@-ae@f&!wI>*!QTmaUyGAc{`@YlkGUDKfqfIjp9Bkqc5
zT?u6Y(kusbgg}iel%+c&|5CBXUeg-nLg=8OI=)29{hmBvjopP6H}B_Uqi&N9^FH(;
z^|2A5843EBLWlG(c&>)F8rrhBmQ9@#&w6y}uiox-lG{B>rYKK5oKCjZ1<9I-WM5}Q
z^km0LMRNy6l%Bn4I7PlYG|=lOQDk{6J5}yvGp98X#I`|a&hh)+5T?TN00;&Ikxp`e
zCx!s?@y}WhQVfS}6CPXfQdaWdhxV0D@JkESwS0X6`OI3P6fdE63AeE$G$ELl2tm$1
zkDmF&Lx5{!;P*G@;LqNbevK6?rsa%1y5a4&HPoHMxSlyDS%B8;-RX14qfdU+(fG-n
z#zTqG>mhauk`e?CeeQ(AuTz;=jm17iKF+utZNrPxp|%yK#upW7*r2@~`@7R|>Q3GH
zw|-3-ZSk5!(MupA>tJ+Aoa&AHfV_0Smbo<c`i${pEsh9qLK&B9E&SbIXe0r-<$pN+
z_uh&93=3|upMH0jf)2kifNx~wny*sYJyNPwzc_*-4e(@Iyv8n{bg;F1vlAY4dAn5;
zU&eCZYQgkX)d$G4QG0H314F3g^1kRrr=@i18`IqNryy8I2$`d^z{ik&2Ny{QdjfK&
zi^7n~Y?wa5{WzUygO^Jr47U8M?NP@JjaVJ2haiBsuthxk8(yWBo{-EjxY1kDsK-me
zEs)tkBXf#ltcL&xfmN4c=Zj%#k;Sv)zLIYLlA6xsBKuV@UBzMn=^o>E%n)4Zb5F8=
zS?K6*ZSEl@YSw`l%tNj`ScA6t)o#tWb9J23`D-p1&WY9USZE%OJf%H4+UcbTJQ&Kg
zx4mkz>YwK@<W6a|13g#zAzf)@iNs?@vGM3rtys=D9T6eOJ=Nh&l(|-kT9?3{@W_EP
zIM#n=N^;kc%tNW6`E-OJ>K7y(jRvsY&gG7vL%?~FZ=;Gk{%_pq|1}W!RsR1mpVSP?
zzXa6tZ@5G0OJMJ5O8I<#649Bw8ojxEn7Jtk9%@$NzEp$UaniWod1EJaDgd6%NXYgB
z1@4Ze-fWbSXX&68s{i*rTZY*|N2JM<kEqT$Uyrog&<pR5JE6ZzX`+FcI1iuFXTtZG
z(1CAi^z!`graQtXjXoAt`3-`ffZBKwJ@C>1`5eU#__8}P`P&hWsdF6@E=?H#%iiM@
z8iAJr`pm$`y~2yruq5z|QUwG;-)OPBZTP+vOD;CC+DRKW;nyti(pOeWaN|OVx{q`2
zi8uN4pq@)8E0kBPt~73(+S0BkmgjvXNfQh4yXhi;AM|ja4X%|9(#uY=9qEZ>h*bV)
zz|gKq%+wK>jASL@{0VvR>B$&CP7d>C-sSB$rc5w7bziYOk{*?dKOb1<jAnc2=3Nn{
zJAluv!k?Brg-<cmk+0Q(&JBD4chPaS3S8!~jkhyIuUx<HCf~5<2Jc)#_dVVJmYOcq
znl|&3b;L?fMTRsLzRwMMiFl|q27XAPw7j}dpbZ59UT-0&H73n;N`)Op>q6`2%{AJ-
zNgY*9D*<gLji)4kbCzS!-kpW1XcCVO#*Bmw-x<&*E-9QiCsj_C!Kjj~w_~joN2odu
zj_MZY_rw;s<_OmY5j|Nh*JDQme_5$AbF2dZ?`X&;+5fDWv1xfZIE<X_cm7Wt(Yk(7
zNBosasHnO7&zl#~(UOq}>dD=P@9?TkbkW4gIk(Ucw^MflNhW~B{2~tX@Jvz4{1bX}
zVVSe(s2FLLW&uJ2LPGvUV!#XKTerMlQ*0Two~`m)ZNHjK$cIFn3Sm4Rh_C4v9V%O%
zQ2LT*b&vApE)N&}-mnLIVam0@-C?D}dbiPhxiv9HRPh8nvg%vccY+TLvv<${FB9~Y
zkwRq7wy!`&BR*}&V))dx^QpwPQ+@;eP+FPcl6A!957dRRG3OWDZHoOc0+U%<`3Oc)
z5pnq++Aj^2CB0HuiTVQns1><w2!>sGqTg=^mHCMw)_$ysWeuA!08p*<EHdoi(h&Nk
zR@8(ANba)s#a6C>W${tx3kN4}JPR908;(+1yDdTiO;EerUb}Rxutavy@0qTvqSK!h
z&4nSIg{6YKG^&ujXjZAmQ@SjqA5HlVcHa6{^c!dJwH=<?scZjgp4*~bBI$qj=WH)?
zY0J>6uNhX>ap^u1J|yUvg}#kw(B;rLDagw&?>?PG^}hWyMOiWVJ5uPW3z|HBAuk#A
z+@$Kg%zCxoiOWDqjKfz&nR2S+6KBKl(L;|xBY~L6#;a8D(H*W0oAFdTdUIy#B{u~l
zOJndp2uv|Hg!+mLnssnKdLhea1O#w7@4bq1<|xH824z7U?q``*)$;jZccT)gF4Xj<
zG3P!3!8h=^@I_bb;boVOojkLi$`3h(#ipxx8>v=pHU=qVDEGM}^GS)F%wFmIF;_a#
zgBMN0{-^n9+-txgG4$p#xSpMITXWr5k5ewZca5-;n0cenHW2QN)fU=9S6!!Pb0x@v
zB;ieGRw=B%YJ96dBgWYro_LB`VwgL=>SCcNHg|Iye>5A?_=Cg5+?)*Q+UT66XLTWx
zoh7<4FV{P6F)RO!dg^PCYI*Rs32|)<x{@W~eV~b~WpxJQtiL(XlF-2JYszNp@VM2X
zuUylKtGCT*=ESEYNE6Hb^@iD2XRn~vDp(^oDiEGn&vcHGG*jgIoEKH=jz|Uen=qe*
z!C0;|HbD7iNA3onCHdC1OwoRzOv1tl&qdcvz0Lj=VJ|OAxnv$U;8YeXAykFlX?y7W
zG<kn)gRgW0*Pe8w;A15F>b8Nqk@octEW6v|C(*<IVu#222rbOx2KU9LJog5+=d!Yp
zfkmuqT+!jbhtnEy-S<+v7OvMFZ+AcZR=2P}IBi0n2-(mYmv~6EEF9Jo4LqF+;|a>$
zZmpDkK7?+^#k|_Ddg#ktAgU>aFiq0$30%2Kn%uyY%MMLUG<&+eUFd_1!xU-hxH?S&
z1cgXp;-{E`9JxW(b^Yd{QK4Ot_Y$`7n~w_DPG<^O?gPzP$y0TDsZA9LlCP(l^h9y%
z?!v=ZW)l+FU?wZ0WV?;=rG*-%Cuo>?irm)9@ON}S?v#0{))<cpOBXi?{~lZ%vO?y0
z!th^Hemfhwb;kG%de?LNv?$Z2?FU}0CVxgZUw3BWvu-96^HKOn$qbc<d)oA>Pq~Ow
zPHwy_5B_>7v{A`T5ccWbe_t}?Nn>B(0zqv?Zo3J<X#a6S$@VQ|KnZDm@Ezd|lyj1j
zvlI?ayrF3#LbS>01+#ypz6FISWNf}<EULeB8XW(`lr;5}-nit>PHI>}uP0WL?~qxZ
zCQnhEA-}M?0B9^^#|{Hq2?otT+&pycV7e-q#?EvTemwlPyJtAxQ^Y;kuk(~jW_4&1
z^S!Me-o0`8fG4o(A?-~~5fmjQ*RxA$JM!pYK7-?od3xQVlT~j5Z5v%APr@J@C_FjZ
z)SJ2-=oR~4UKxZ14^)NRyY`3)e$^9SD0;oPYSSQ*9Vn-Mx=X(O%6RC3C2~GuSl$$B
zH@P6@T(7dQ9U4*5W;$_vNLud)Ss!X@0pVUtsV@aE#TN#SD9?HLzR^xf|Mi`>lt&db
zUZ9n(dfB5g?q=AeUmDG|?yV)lapOIeA{E)7qFyO~aw5l6hK{D_58fagl&gI0j!sD+
zc=noNDn!*&z3Xu8|9Qu7$Q{>eSZkIBV~1q;avWCjyGY9P;o$b4b8MvA1D)14oPZI^
zv>r))@q{YT9MgCtleL(2x}GHK3oc`hmGA2t;q$tgTKRmgJvHC7_Fvhegt;*rOkBD)
z8geb<K7cETC3bMnd*5rRqtM`#*?WZ`?aeC{KS736I4wqTZ#dP;h7wtnUBYN_Hm%F_
zV@bS|>60!?gJ>7`jPSs!<<Pkj)MF-*bRE@lHHSTzXiPX6!C&7^8#eB@%{zjmZDp}h
z;eA=T!8avsri5I#HzfDQW0PjbA3eQQGH7)S9j;y&u6VhoI}^b6Tn;DP;ALk_ew)9e
zcj;AMO5NWBl@F0YMT+Jw%cCXbPd|Tru&PVpep*1I#zLH3KO&dE0$x3_OMA&kiWXmz
zy;<?4gGMva=i8lJ#ZoTiAM^XYegxo`zRG?m?1&g0QGS7xmJD@EswK=CFn%jBOId4d
zJ58UKCe)lBSl7}qH90%0Cqr=Pzx)cj(}QjJc~hkO_*i!Y5e*cAbC59gBp?)ThDhrE
z;y`?9nnX5i{=+<fyrVq*;<Z;U(dAE)^P3qxctZ)rOv$qb`HcR-y&^^Su4eTnUl#q>
z#L9T(s}gSa8_NeG-y#Mpi%z8Agc)d{IQ03a@%t}V?39UaO4%IXr~k|a0G5pEU)%DH
z?_Vo3K|TYf#x7?QGBQcHO9Cej{fP~B{i8)(7L~ek3ja42w&Ww$eLuLDo@RbCst;W=
zeweYmm8ZDDF0HJP&PP&mzAe>;9F$g|+@*Il-K8OR>|jz2AMVVQsULqKLU1j^8;>7R
zIIE8lLgCnMw8Bi!zpy1{ZI*ADDnBgh(SC6`lzD6TL;5O6gQ5<^bEa8}rYsYPow$$Y
zOZ9N==(axGq3?nH9-7*2LH*oWT|Hvh{P<np^wT&I-7wrpb1JPAJRFxN2+(5E!5N@e
zyc^b^DSq|touX0ED%(_V2CsN|DBFU;NG+{yk)dBP1$GMv$3E_5&$=hc>LkE{w>FzB
ztAg8_OnOp#_Ug@hfq_@TQ6cf+(oeY<4GZ{PK0bdU+4*c#CXw}H#P)2Dcd$QF<GxO1
zMBFcB^=eQ|7?Q87SJ*xtFZ#Lj^UHg0$e{3lnC*vu{1$*mSUE=15BSfJ{f2i=Hyz?P
z--`cWTeeU9pJeUz!v8_m+EO9vRhOE0ZT0f5AXt8--$sMQ%9C+I@HC4i9B%co%5?1u
z#^e&?8#SLyt$*Uyu^@^g8xKHUdcz+To3DCfBaEY1rhvbQQ|~`Irh1A5V;3ylt?$9r
z<am2e%hN~qI@|4(X?RA~hYTBwNR_e}#qPFv4l8(2_ppcC5k<H<w!cHK%}R+s6cq3a
zLL^zB>)QyPV8w`v?Bf!Jaupsa@O(WbxXOuuPVqJD(NnN!>U@9lhIJb&G?u)j8XfgL
zdXhc1;1A5!*KkEljq#d#DeQ`mF%8Q}>IaeIU}%1;UW6IwK-rZWz0^bv>6YKU$VTzZ
zynx*k3hDB&-GICBaOA033l`uIxV2|$(XoLjk*nOi(fPuIfDA?z|98dCkw`o>9Ifx-
zQ;wn}TD${KG2N0`xO>^{qF7h^8P(MpIZp{3#m{KN!&-M&r<rB9_%at<KTPpJ#Q)jB
z{^`PjA+E-DE|A0bFbo#~jC2NH|GDWf4ocjcasHLpO6u3icjoH}EK*#FA-)$z|MUoe
zSA7Qj8Dlk(NZb6=tdcDbVrK9;BPEhzn_{?D0vU?OkC^voTR*Q!bWJ^Tj=EVnB)jR~
z^$P!MciOUsqZ4B~9jlG=D170kgMyk4jhs;PyxxjTzN=r8?3lI!(&V-}B~rFrEAJyO
z43ldylq)yo2k)=bq0Ki4`Qm_gqFId=0q{ZRU>5=tO!pCAOicr5KJ1*w#(Awk*@x?Y
z$h!=`)Uy|f((*e4a^<0J$pMS*J>dp|M!foeZ?2}Z-(075^E_54jp2;9CWK(AE|N^j
z5DhR>N8fFaTHT;I+?J{R%5hpRk2h*!sdb9;@m@slz!e@IXwS0s;R-|y9*25ub$=%W
zK=ann2UVL<5woBH5OFAK?d*P+ony>p*sT@Kj<n<AXUHBN57TmSsSi#n@Nsj?M$v5w
z5?WH(k{p}OA@RKA*yUw!e?-bwM-HtOkcr^I^Q-xDapDiA|G<B4(;-a+kW9+vqGC~R
zs&kBK4EYVF9H0#&(N##b2;6+7Po_#Wf~jr%R0w^|>St7Av!NS+P2ZF^tne8CN_pI6
zF5uJnCuZLeI~TeEMd^+d_r(y`ZPYSQ$ur!oez<#(uZDj1U6+}U=(wS>Og;b9K{zn)
zzMA@Agy0%?(^8@2-cE$1pc(f!Ah4J}I^fcCx--}Gn_@Z}o{Fzy&=G{Fjy+@(n=@}W
zX$^6D*e}(O>j;wVz?KCH(W*~|A7n1|0569NXEutKt|$NGO^l8%=0#&b-Qn}s+f)pN
zKHopIcNHzJRj7BHDDK(_HW09Q_L}i#eB#Y~jIir}**KW-8rHEjanb?m*5Q7-8#L{F
zqEX?rAZGdv<a5Gelgd9Hq2YQgWC$<wLA%vjsQ1&-8kZCebt3g@gLf_&%tCYbIjU=%
zq1`_>@{DmSjkE|LYwNP8(2}wz2;*C#Fq!a(AT&$%8-H2J)hMyyd(YR(gNS*9c5=SQ
z>;@{ZW_%JP>M&0K>H(^QjGlOIH!o3NE-PXVNx^kGBR68Mj_Y!3rq;GB;QfM9nv#kJ
zZ$P1%q6Jw{)$10mra^O|u2S*#B|P9=W*mqXXQ(e&<^KbU-^U;PczAjJ0q0GwY3Sqn
z3&|bN_BKF6;w5+6&tS$U-Q14{Osi8q)wXAnhR^SP1xUqITI1ut4s!$-i<q*W>`;hy
z!7#mL%3)sf2crKRZ)vURq4W)(sGq&qmg>eeKG-&8WZk5e%CDY0B(3>$=KG4;CBGWK
zb6*X%V1hJBUpyr3Y>&a?$Satwn9y;<T<f1K!9lFFh$aLlWxNTde8mk?ba?G(Q7lDd
zCZC0Kw%U?lw@X>fwt?Z7Yx)pw>(^-I#hAa{`dH-t$n!<GcqA*)p}ilxWtr45W923E
z5r}V;Ibyy}ig_1yY&Kq2v#!k!d)-<dJeF`con_icL8;5W5*LJ6cHOY+v=p{$(iGZ)
zy`t*yZlUaPeK>8e6k39^>rRji8@i1AdZ=(8z#8V7a-{FO%7)ssm9`w`SUWhFm>LB)
z9E<mfIW|;kqr^2GZ3DnM$xNG{{2j0Tu+Ep!YGA6E4Dntw5_!eFtMoEe1SPS7f6nne
zeLFVQwfY&RaRpQ?%3<;l*8XR4)nG=zpZR&?%V7~SN{ljheiAKN$yTjnm@zvK<lgaD
z3M*#lSv=!L?nDy%tACVU=!c~<sZTS)x1n{H;eyx*X*confP#X+Fe|mCcd*t%*FsQh
zGl#N+{-dWti5?&Q82TAS-Dt2e>wwqtJRVwt9-ogmu(`op*T|NYRH{4EA?tobMl9U7
zJOPiwI3qoLUaR|qh1Sf&+NAwkk4@(kgAzl34x+w`g)h>S2CTnZA)<>%^-{9dzc8~=
z{9#At&t8@XYI7vA#hp4&2vZYxe={I^Tyk|MdC`8>e9`j(BAso{Z~kLrTk<^*4;OZ)
z^#l&$bo9lbU{zjmIcUThi#f0PiG9}ezElDnPVZrPXV!Q&N(Q;<G??f47~C%{5!@Zh
zqyQLL``K?WUQw^`T&{TP`D==k$RGU*(wAIRgYY5`XK2Yq5qbJSFv<+|)iHTw*F2`s
z+_E-aA8$D$zu=EYg2Oj-dDp`i2xh$8qPpKQs)};OjU)L?@1BV5oESAZp8Uf$xxBAa
zJ1!<m>QT@4B<;L*1nqo^PBV;0^CxB<aEf-1J2|ooH2NMTfX1y7Ybc0;;(~0CS+WEn
z-s`A*J{8ovc1eRiY@3?@w%2?(Sz`S|(b)a8y`h%ubo76B!EBELlx>{uQf-ePA-m(U
zH(^+)Ss3Rg*hy*)+WB5O55{jl%oVLPHys7999^+^=sx1n;$*{Ns`-%U*2eOj`!L9g
z5Pv?q#ZlIY(bd&A$S`fxJWrF&(Zs+2-z0N({bc|r+&9X{Q?SZgSkFoz$;%_j+U4|@
zl|L&8ca_`_Ij1~w&a;kG5`lDi@WrzkA={)e{)?l(UqRgor<}N)W#?1pLv4eSTO!by
zc{lSf?GgqMXQLLv{RLaVSx)s^@1r)=`R5CK@%R~L8&xlA6QgCaNkG1GT09LIaZdRN
zV=9qs#nG9agWcon?rVaNLk3p4SsD5Te3O4_=q<DTSwfBVCXg<*tCq7KAX$3t5Jj4p
z0{M5+t0NI!ka06S;aRHR;9NZ1KmSCd**zeKPhIE1Aa>A^!q%u0`q;nPQEggS;*7$>
zs)_0`E08zn?Fx{08aL^wdsXDs@cUrvb`xvg_LStBE1GyRLCLjU4z=>+i>(V_Hq%eA
zCPIgMn}K(8G6JhYcdtj~-qey09>&3}bJf@<t{gU!f~&t_gSf5jnL=(Q<_tAEtLn<)
zkM>h|0+5FL`6OLCc-p$7!7A>G4^?1bdla+s`R>*o>oCW9zdioWg5&PS>-q8*x_%5^
zM`bmuV8PE#*%>Sf9;wDHRO(y(zk{AGbA3W)o_GLe0K2(PJ+27QmLR;W7NPj8Y+@F7
zrSZKBh>8zi?=Sj20Q8wIa;(l_+wxbb5oxN#k95XiXP{mtl;(<b6nllV+>nTS@6sm9
z$Z2e#QvRq}vZ*EcxROFAq;9{ez=ld;?C?)m>-7x!Vo=O>W3>2yvBG}-8OBO?d@yrK
z<0niVtAL9|uT9^i-ncD^k}oJw$M%Q@ri{{Sdyxhs>SsT`BF*0(ndt6%mk@dGuHb&v
z%MbOd+kFg$o08S;Km$e2*?#4~a3cTu8rN(t)v#Bud#nW6XkY7fv9sd6>CP;FS4n-o
z>iBD}1o=a894m7oDVZ`$e$_TfeR{MXSCHlj?yC$La}84Y;(ejI;7e~Z$zD=+K_kL9
z*JKFP4x5L~zgZ2xwDOnpb!85`a!WB^3PDb%^qFVvW9q@lD%@##(%Zf=vc3Y3NdTCv
zVRhI4ftc|N=U3KrNuL^Y1cV_G^|IB0epmYo(<1T6Dc{Q0y?ySGJg#^{peZXvkM@K<
zZ98WrzG3PQ48|MzHUy7ZP!G)@MeA2O=76Be2m9YvyZjs`uFyzcE@!-GmH4E7sIQ*$
z!`96v#g-MuBqOP&fNn)b9K@^;q-F@!MI89WuB2M(Tc#T8*vDln;it{K@teQU<?AJd
z)p<onjrVHI1CYSHNBVb>cV~!PG~I%%&JB8nmyfZVW42>+cJRn<V;;5!%(w#z7zx9T
zAme0_jS`~HMp@Bez4FFMv7?Enavft{Wb<WT<5e#xC=a=ZQ7bAoeqx`}prZ=6L3qD^
z{sSTVeMG)xmP#CiZ)EA@hPlx@Nn!_-v<otNCdKPQP7saS@AAbF*N)f$Nb3Eck1(44
zRK2HT&+u6;_s!IU5OnFCCC+s}bu=HL9l+i|M}0ujmGO7K-oA`sQ7`x64->!eYwc*g
z-TSn#zg{soh@;eQ!l_?OLFMU4qHn+xlBfLsrPDhKDn#>bDpvNo?23;$tMloy5{M5u
zKM+VMcBdK!$|R$g_+26BArRPaSfs2>D$RVksgYm(+svW}=Z25oMVUjlAaKQt1c?{R
zAJe|xXJbbC$DHm%hbu)yRqWw(gfFSFEd)`wy|#QVR%IR_OY^IFrHHBNY#x^lQp{x}
z2w8ZH@UW`bCK|6FYy8rkw2xia_@=1Qc`!hBL5%Y2y-8f(r2edkql5!CmxcgV)^mAn
zA0Cj}R7Nj>vyU&!V+3GMZ5l+F`eH!d#cKh-VhKO8!-W<WIPYFJLCz^H-s-{N`@M3i
zlie#pZULa7voolWD&>{=Tj<13UJ@MZd{-cOwnbPaYjB90^ns{n@}ZzbFE@u)1@@P#
zr$;oRHEnp1IRJ22cZArw9ufEPd9O`fANZ$!$4+owHVzYtvSc6s4S!lzSgqe}Qm^AY
z(DVVRxU6gnO`2*sJI@fYE<B%NS{3|E=96Mh6(7ht7(Lr%70DT8<8!;1D-a@NG47z6
z`_ol%vftH6d{hzOG-MrG-TJ3lB#)w%O;RWy$)=}_ume7XMo{cmwb8F+Yqt6}Wf8zU
z-PA`L=W8X`awoh-@A~*!YrqNn_6%Du)X*7LU3H)bo4a-G3cWw}ATuZ%B@4K=QDQm4
z--_@ZbCd)gp$+|3F<x{<8TiMBK()@i@?EQQR=&`gYql-zq#*T5!a+!v06F&Y-oIGa
zbuCzHh+R-B+nljXr*vT|kG;5mIc84|F^%{J3AB<fn7@vfEf{=!kH&yWs}qYsp{?|K
zBL`0e3&_EYSgL(5{&2^I5rt=?;ahR|AV|@#b4yEHn0)fIUPYac)@6rTkX){KZU97V
zAO40x;)|4lGn5F6WNTw2_X945r4NE+3E|qpCWe$#JQYPSPfOADC>nJ>TC7we?|8@%
zPKxM#Wy1}j0FlfyugG_4Q+FQ4O$!Zo+?0s7u{t7Bir7e}%K66Y=hnFIhZcC}Px!iv
z+UY3p8Zy*-Z5w;eo6N~lc7K^MdTw)!z7ORey>C$cT}joFMv%g~nElT)ry)x(GQ`#T
zN35yg!10y<yxBd$R&Y1J!J#^%eHpRob}k*iklp!U4uR$(x{u7n7V^6a$xOW)VqR^)
zhg@ghpavow{WgR5{rL9JY9(q+&#zZHJa4>Ceqa2<VXtV|PUiB%8G!C=ULcSX7#OAf
zpHmof@&1U!qF<R+tSEYV!pNh9J$>X6^W+yH0*_<WR!(5|k6E{gxJ$L~NBb4Wy&NMc
zx+f@H*m2%w>=|)##)M~d6(@0fKwckN)Oy}G;M?jVwU~8)c5Aj0%;~6zq_I#?r9U+G
z9od2`6-<yHh<7K0O!GSTrQBd$s`$|n&q0$aeK;};?M8+;C3@4m2#pmuKi@pA2sbMc
z%i5s9T7$bdP1bKdKKQ%`KVgOj+U`7IF`zW_jgsCS%uK<Dd~t~77I20JwtauxgR~T9
z*j$%M*lCH$TvJm&1$+BTKwF?k&GM_47z_DQK8nPI3hcI9N(U?2Vfoa)es@+n>4nTp
zC==U{c@OpIz{?4ocU7T?m*XSkO)Cox%Qx&K7GJU|2%6C_dduFt>AsOWo^|D4Ud5H@
z%3SJkkylek`M!&szM$C+=S0Lc5{V&kvDWII^dH80M)TaD*$%ibn(Za#jd|m(%B|Bj
zjZoz@(C#&r?Y($!0rcAiX+Mx)#rSXH7ynX{fn9jh;nxJDEv1sg7ZiqKf2=iOB*yr^
zwED&BFg5Zy1gdfFEMD{&nfYqPTwZ<N*#SQ`DRf!wX{+Bl;m|CnX>fnB7*=It-Yw<5
z5rxO>*TyKLjS+(Ofv>M@OkXI2QA?lh-1Uaw6Y|Aujw-znWLJ+2E)6j4PRoL@$R{aE
z26y$sR1EOGd&WV8uRLJA7*bxP4%cg*QjQ9C&2~6>q?mFrO@pMvD|y7@#;$@t%t`PS
zjhSWQ!ilXdpL)w3&9;mw?oC=M;!X!@;8!`w3?aziyD*p{p8}%+H$<d9AI<Nq66pfk
z#L<zDiX4|mlgd${RWYS2>m4<2-p5~;!jU%lU(bCve4);Bq>I--qoJ)O;nS0p{hf}7
zssi<QjgPI|?F5OebyC?LefI6WC5V2?v1FAKq=YE@Sdb8jvcuthi;gjLX}6qZ+;@aw
zA9Ms&*}NNls}|U9;>9XASY)~pkVcXDpQ21ukJFYqpr_zKjJ(Oe$OG{jnViLYXI#=S
zc=i>`MR|*I;kL@I$A%erke^yqYf9~*;PhYApkKY~&4WLHn>7)nYZ(8cTj;unn}_1f
z25`SS_^iLB73&ZA0^~SQ-$uiJpB6v{=$&S$-orpBT0iU22$N+%W@a$H>!M{;gSCju
z>moB-MhGLb0h&ik+}2A#hUNk@Ju+4Ds|yNLWWDs^;pZhVNihh<^u|Y+=tTKC_h~7e
zUZ@g#nIz8ap)ILgO;b&A1oqUCPCJercf;J<67%`_EEbPO1^*spONJ_(<wJP#-pxw@
zo%efqeZ;p<YxEJ=6Rq<1dd^l&2myytrzK1QvaCaPwV;MUc#J@zy!vEiS!<4bar55q
zP>O^n?l>aWNCA#4Z>0%4&)<vyhiIGHhyK3gD-K>59<8b!e$QTQr(uqJVx(#PZ(D*;
znwboSjy{|FI?SRJ7C4w`Wuj1?Ji!jmi2;j;S9}}1{8h#vfTI;9R~&FGA?=lzp>(Op
zjVam}&f_mjfutLz8Do3GPEiuF{c1^a+3}4XJ3+?v;fWJIGLG+jJaHR*c|&VXxqWE%
z7e`n*RUkElVkKA$x^A<c_YYtxHrw%CkDC-@SGO)WObo5)K_aYa(Lz6x6<J4g;&p&q
zVKg<fdAP!I13r<ax{CjV#%AHui+#^-jVAOa!zWHMo}p-O?d>v_y&{RaxDC#N*#)6y
zZ|G;HuYzXK5<-?Ql$i;1g0VWfjeR&${_UP5v8F&o(&{;yFZiD1>y(pCG>P1gxgvtB
zhE@1e)xeCDJOLp~VMwFTg6{Vz3#C}Ox31NT0`c}fP#GcDtP(w)7OXl)D7l~R_Ppps
zua$lFLJy*v4eB}H7HdCYCzS=F{JxD-gL0Uv)q{9r4}0IPKID4WaH(rO4NJ%eL6+d<
z*R`q&-dD|?byTMDp8&kO(hOEVR}pcB@SG$!+JzRcX8_e#WxxXVl20A`3#QOJ(+ysT
zXw4YvuvB9}WxH;z`;V`UP+e3hi>*y85vG6ogiaqkCaHhI6MFAe+t~KwW&#hA73j+a
zEK$~^G{Mv^P2c9)U9ViQ3rW~R(tbt9^nPim4^XyiUTK}51&r3n#38n2idu0v{3lkQ
z*2Ce+KpVU=^Pl#l{0|@3zV=m$l>K!(gmR0Nol(0t;rDmn1EeF<H9zz&WqMPE9Wz@w
zw!0AI@+F?m6DN15^Ci^hamfaI5kgKq0_U&`!_pca`<>lH-vfsuwv;^>+wflzuqyN%
zTE=^U%?n7!v*?%Hl+z-@l$N|cQWzDl-xRF2D7?=`om1*{{=MBa!KgBzvr9Tl0%98%
zC~DqJ3FOy0X|6AyPE{TJsg^gCQVu6T4gO~@2)V^Zh*dVM;<VWkP>R3`U^mTthFL@{
zln5VAn%Gunj-~v0J^G?Bq!QhJ=t<*&)(?6f<J{*MHSZ#kX35E=J?@@YAs{!{T5J~x
z^wynAi$~aEN8_?{UYLc1l@r1mn#{k?x)V4w4{HGNK=s!b;h0jh6^V6HGU3?^f+Jur
zc*~XZ!rl8c(g%JS@B2+Mtk`|JF=9@|TKqem-$BIEa+1gy+UuO!>h?GNYTs-%Ee^t{
z;rZZ(^fQy&6?NVOt6YCYY-%*-q3|fchINs2ANTFRdUbG?oAS95C14j<Z&nQs{qrB+
zn$Y3Z8~50T81ig{EWsGxrq46RXm4C7Ww%<ruj3y|fj_|a5hIW~rf3x`?k!R*RXNNn
zFLMj+Jp8IEWM3FATb@{EH<EIIUFO-xBGYXW1c>!yO$xmyJ-(dWkd6_(ocTYrid~t3
z(HHQVW`z|ue6%sNK=6s@TQg{%Gq%Wa%uh6<1ysxd93=OXCK2Nc^<?h&^0|ObpBAx5
z=x(Czt3!WZM`pd#Aq|j4T=W*b@0x#p6Nu(ozBQ@YQ)pc4QE9ty7kOLN9}w!;24C2W
zbEeW2fm}17mA%tOgI7GuFa{oKtM8`$IQo^}4}bcpVoHAX2)BG(Kq%^sFeKI=*?oQy
zwFeWj{&su6WODEzvRTJGW+}N3CTkND{ztK+$?dUtjha-ATGxqOua-g`Q#EAgJ9?Cr
zns49aXvLzsAq+(ePF~-DHVd2-wocP|Uk>rqk|FFKir0@yH_j-#W}_T;J;ABeRx{v1
z0MjB0!PAbrHg%}Qs2MShI8?~6yMt*mvqYH$FWyxV9OMp*^tvmtzqE)eRce#6t1xbU
zCbPv2U$CvhL7Ge;ADQt0@hb7UtG*Q$>pwfY`ZWcQ<TShSTeo%>FLXb^4lD0oB!;|Q
zh0eNOKHSoWxdmdDM#{d~<0%s^&HVM9!pr3=&&gndmXwut>g+SxmbUkud-TS*)(hd!
z<%cpU;;r$>{#B+TsE_$G%Ai;ux-)7v(sc#w+NJ3h_ZR#g{Jj>Z?!>ZN+}si>#-^fQ
z&**onh+uy71OYkZKB%3XoZX1`bZ7%{zus?nA_tfuc?{oiM}DRo|FU_lbEevzsj98Q
zvPv~o-Jq&HHQ6vM{>^x@sXQckH%@slpF0o1)F1cQHeaQ~WLziYB$`T?H1x~7Rr}qX
z500W=D@wb^I<0<s=O8Ijh~sgCvBYvgy#j(#?IA@uEisq7hh|};B^!6<hxHA~y3OA*
zKd}@xTIa%%e`k0sZoE28hN@zJvOay??k*mO_+T#Q4!zp7VRL%K@aP4pB69GuP%^*h
z4KdK%*6y!r??xhjI^s%EtOp&fH_mze!0X&4{=6HbqxlLe63Q{yndy2i2o`mt;HV*L
z51&lN&_hUL^I>d!_&sj7?NXW`k0k1!Jdo=BW;J!&jYr6ndDQ8*J>BSBlXkwAe-~oY
z1&BaLd0SjJAJ(mje%S9h#-Z1V*>xwVy!Zarf_eUuN0b<{z)L9i{+zB=J-Bj4WkJwR
zKp<MWT}rLoc6Md<kkra{?CPlW91zBft-rz52*%|QKuRGqKLn~Q@>q{Ko@2I-n~vcE
zHW6$WB?0YQ9sv!O&d;o-?zA&3?B;zOZ!~B0UvKP4sFoC$8%uk|$R@w*pqb~-dt>b2
z2_xr{ds*{`Y8UKf-FMTFhPS_I)L_gq<Bm4uHN#)u^J~Wx5wgH9^48s8x!Qd&X?1mz
zffuv^Qxus{N4%vpeMlTp`8(asnu9-_ZF0p&(sw$Udc|ZL>)zPhsYR>${PFl-!{;J$
z4R=%d?x?i7GY!m{Iz!50bVY1cN_n^;w?6xbKgs&Es)Da$VY9J)PadgO98CMVCF0d<
zY$vF3@@LcG(v~z`raEl4+b11P17d_#qwkrhwDMM8F%~6?71+%MZ;H1mN@E|rr71}t
zq+{wyOIoPowc)*IW7y;PqSh3Dw&ZH(BGese5}J)l{o?}Y`~Eem{yGxGZPfQ9;ZyQT
zZMoa&R|=#&qHbowLQ!U&mmgJc&)cIE4L;w_D?lh#6%!jw9GBT20GrAN+Ez1xU%q%j
z5Yi?5ZO{z5%!kI0a=&TcfI}P9@*0C@nX1p`v}DSZmtNaXmKUdi^XMgr8hs<vh7ZIR
zrZYJne{)1fNFM-j$6>bNUei(0DaHVov>p5Lhri7ft&5ql@6+miN6JkVgAb&Wt(V=g
zh-vl&ZeNbMC+pS2SW%r49Lp6&ie)bqDdX58kvaOsrxm=p*k8PW(o(b0+}3aEnG!+K
zqyef96}69cTZ1;|sFERCMarfR$bA{r2XY)RLr6hIQA9Ur)%Rz#zcLw(9Obz-jE($z
zN=f_!^5Z@y#TO8YR)I@F{zre{dc`I`cJ87B>Rg~I4DaeWs@+B>XM?sCi*z&iv(wR-
zIq;Q<HocbTq2)cEcPD)d%=~Wxf0Q@4hUo|VaDdk6!u0d=yQhr@e>@m?;kI3;Uz{&k
zg4k9~<%VRgZ#zMzUkK2uiN9R009lda>S)r&qLRAawzEC;w?<Pp-Jz@)v&FUZ4xiG+
z?B@VZ9HYRDn&OLm{Y%BVp1Hk5=qJU``69O}o}pUJ*0BxvE({m$3T<${KfR1RgpWAU
zR8=02lpMg<oIkXCB+DM$s4^srm9)wg-}<EijyEizuOJ0p+s^!JqhB4_Ydg*5R-S?X
zv(bw5@7Wnn_!6$1KBysw24|42*<l<^u+c>hCx;6)N`U+cnBJhLo?ZacP1G%nkZv9j
zCJQ5t9>_vcl7KzGvdrY{q2)#@vpVeGEE!CUo0H~Y%RlhhXWix6Qp&;*O_C!Y=tMS(
zjef)mVVw3eaW?XRu{BjN5KIdMd_q0@Muo6ZXC2swVy(gzkc#nN$F1+59uI|lIYY9x
z4!*d4SpPi>Do$ChrcMTa%6g-WbE3I^v5$A0j0st?wJUUd_K=a|M?iu((b;@x;afUc
zgu*lW@bWPwJi_E?(2_WEHU67O@8FO=G7<q7)0C*rp)G(nwyZj{fJ$B7xB9PzUyQ2_
zE;co{8oQ>VA}<KyzW&FAcGQ1Ii7*bgW`^n{abDGTX`d1|DjF41%qp3>=)-Iis&@9N
zT1DzU-OTB<{f?_phAmv}tJ>OpK0TkDrr$M%HY8$S4?cKs!v=Y-Rn%IsTcei0T!XZ5
z*jV(~PMe`+r)_OVhoH%tPTSeoD*60Fm!3z;E?XYyz;NG%mGFVz+LcxoQ+JuJ{i&L<
zx+Fh>J+7Z!_+C8JwGw?yE|ECM_g7cmT$ZQNr<O6M5WXLAj&2Y+Kfn4I9`WP5+5nzu
zG=!w_sPnC$#==g5KtFt*&pLGIt;LdH>=yxoviE;!f~o-~)*Cv9E5t#iZC#)v&>f<v
zCvMump5u?_#7)yky+J7^$@N!fAYRl$ITm<dl196!M<39<9yD}TT+el~@n4b-AAs41
zf_fy|pjpweMJ>B`=ESVI@@%Bnge9xV#*i}&R3<CO)|j<I1M`*VEAFsM4Q5C&!7-2w
zg#WQ_b)z^9@sQxnm@aYcw1Dl(cq>qkgJml+#eFwemIzz%<x{g-qulX9vj*uD$x`HT
zg9aG_sVP^tdq~!FJ$Jr*V4S|ZFA|}hy$YocVKl!<T%y-+<!w;01|eIhj{NOzU%`Ui
zNT;qKgj%@5=0-%f;Hs~rh;+~lR8qJC|Gl|JCWUud(4$_Tt9n@Q89FnO8V+-49<82O
z$KJn<6#snEhb{Y}fBGCh*-nfwttfWJmC-yJJr(0dGzpq%(xLWi=cqn^%TjY(lveB>
z7%MPaIA!eqQma>1Z?#y+M`6XTDFK4?hq1J01M6D|ng<fMiq9!Q;F9Fva@PyElg(wV
z8=-8}?P!(suX2;Dqc*d8Iq&mNm6|8;u@{Ti)gHCXQV13CnPRm`F!DhDwWK!86s7yQ
z-){45GYl)e1ZFLNFwk#53X8qK35XMpPn$pqTTZd-9djVAXK#%jZ1*JTb6hmZt3sbU
zx<$?IF}?0t!ro$>CB^Q{w8Q2^ig!c#6qXhIFG@MM2g!LL$pXFGgqNY0R0@4yABJIs
zePwG7ee%VZk*u=#4L;E`9Af4653<&8`d4g_hYcu3^`FD%zO>}Z;pM-ktj&<&viTEN
z_Pz(4d!XfE?e$5Hv5v9&(ZK1KG{=(`N%?8MXh~+`wyq5;^B-Wc(2Ca1e1x5VxK7tt
z@1enD(pF(;)hZKuw6!f=+?oor9n=NajPA#}_v|{J3X9#(>iS&eC>R3V-8+f>%m020
zXs2{yOB7G20eFCoVv&__)*0IHdbC}PlKyPi8np#N`@??8_;!dWR+okdKH1DPih*DX
zdv0@a!RPcQj2d!U>}p&50^HA1XdfO$9Q;waM`GwMFr+2!Kb2Z}@3RIwgWN{@Z#=Q}
z%5fM27)wMqmawM{uZq#>C%86m%*~i+_?VxrQarg!Eao&YAMjK-Z8$$UC!W&yg|B(m
zK$e3rWWfxo;~bl`Tc8_|==MOOk=}1bt7E09b{p@hr8Dwh6vS2m#{Wz^aS*oA*S#D=
z6AIMFR!7av$D6v}!LW)Wp4_HZG763B1RzP*ZO9Rb(P`A%;U|L3F;x>sB0=ABkh@*Q
z(<Z9UkRMq1mS4ewzPgAZ<o2_*^Q$?vE~IVvg?$WGHdx{!+>|{<m+3rTQz2+|3qbGe
zzH`aqQajzR<{-KJS?BRDs@-TH?Iy&KjT^X><2YhmSoee-<NKv;xbKVK$AHg}sZI;$
z*pAJ_>4Y7ZzVAk7^w$Mx0IuTtZHd}j?sZ#lu7#q#<o=8L=cj)sryq6rHs~Pd<8cxr
zW%sF_$AZwxd6N`ukx-#5DhGxuR&p{#%4Cl2Oi+hE9^}Ib4K%d(gO*%l!ywEFn$)Ou
z7ClJgQ&F#1M2e$ZUs+FZl(BmKoKhMX>_o9h4!1=?)Hm0jg2!D{^5sN-O5^SH)i={o
z`e>9xU>&9IY6=p>qApU2c=w?UBKbuU-E=?Dqe;gT?CTF$D3|ZDcz}Q`K#t7?XXtCc
zinYh#)Yg2}BFC)9uy!);Z-wVnh{~B4?6<XE2ckZQ_XUwhfU`BF@fytRmrr!RFJ!G8
zQ#xlW@jTnO?&@5r<5E{fv^j^sfPd%qUtaFu@UJIjHDn<uyxx~p<=o?%y&AQz?PgYI
z8><r*E(?ykAVy&tt@cyW8Ms&*(B=Kkp5XYbvJbBkYLx}O_5~H|T|O)-F%G)FGZpJE
z{_f^JmYS8l`>P|RKKTf#Elwv@Xdt4W(m6lsLTO=7S#X^=chmmT@j4|JN={(vwiWn~
zKCu$)vR~p08@_XLUl8p954)}oUwk=C+LvElx~8mloqGqiOa4%-@=DJfs*ydGU?&6#
z(6J?g6c-7)7{+q(K)zWAehQi|X6bpKSx_*|lZ@kn%oasv)<&il;%@(j#Jvy@@6j*b
zCH*0+i}MBG^0qTiWfs%DTxJQ2q-1xT`JV+9;50!aPa6D(fZIsEICJrVpa)XL8JZN?
zZoZ@sg~d(v3tT%@2Qrusgd<;4fzw$M83H#O#oDE#sMRssF);(gX1ZVcpGo(r!}w-u
z?TRky?T0qxKzjBEms0QGfTuR>w%%~J4Va36A>_2~u=3|>LM8VrKGx%}+V_|KoUq1N
zm!uTD{r!4roCS;I=pugZ9I%JfZ3HTGwRW@uTlv=PXfTwmz%6g0A%p__ljuIBa?qZ&
zfsGwAT3IY@?cCViH>@wX>oYf`8E{?Qmt#tk`hSPg8^3t_oOl5_wb#QBxr_q%xv4%!
z@CCo~46@XjH-*v<Whl@w7tbCMaD~6Oj-=QV3l2iC3qVV>!BtpcL-}eH_YBYH=vBH`
z&bEciQg`aI(x<#@bfN7Nc<85J+zd(>k2!@bLj#OgxPOE$SGi(h%rh+?>pMaF1pHt2
z7u);(A!TpbvjcIzMof>EY>Al*1*HS<06px|NnzE(%8eBxhD7`a3u@D5C5(SUWMa`c
zBW3VXJk3Gqeom#s99&rKnb8c}h&5IrqvnAwthfNSa1Dr`-}G5JpZF8F#DhdD>l?V(
z-nG4JNi7m-bb*$zgBTK?YYn@)dN9xYpzDeT;dA56tzCinZ~vw=T<kMc;lXD{UlZTV
zK;{wW!)p}2s3QFI=^mXkRw%!)^4gCLFgogMPV}IeUDJ8lp?ztZ^2eTx_?@y!4Rx~f
zEU>IoZNqkdBAE@Tm7a-R+5@`>bKE&-D{uae<ze1M8GaFh$VViTbAxJI;{{eN_S@{K
z<YuGX1wQ!npGjA<F2Ji}q&kmDfr~&J-Js<NL7To{7x=P+N0Aw#^}r<YipzjKg<a=}
ze$MeT`7P&9x#Ira;Y0=H8J~Q<0NLkRlt(i<cPafv<c{AEjCVGROw_QZkL{}E*e%|@
z^%n!yY2kmfH#$UbJGtn_D`MXP%b<Cs`Bb&ii&6r}H;Rwqht7kF2m7reggwVpBMXty
zm?1f4j7lfgbyqE5x+=&_tZ?;y*$4^@M}liJ_#f<=OUi(eJOWpbw<1)QDA=Nk+%*&b
zA;<)?Ig2&)Dg$bMDlsLDKT@`K@5LLI#DaI!S1RdayunMMfY?pza18rIXqxZZeDLQZ
ztXW1tNP{AS!n6HPDrxE?9s?40JD$CwbDYxiLBNHFfB1X)#}VU{qQbasDQv*3F_0Jx
zuy!mWJJSA_A<O8y|EVRUpWE`rCaW<Wcvpj-LwN4ywk-$=yU$5V-Jv=u0q-~O7K++)
zo%M@T7Tz4)7oIU4O|7tjm{K<AxHs2_uO6iI^u#`oIOe5+vXijbs!NBcSm$1*WTMM0
zHQM2?Ezb`)(h|CKTMrvk>jOjrrnTO8(WVLq1reDTkc@@PVhGy8Fc=~%!vF3`)4Qgx
z*exzbMp=iJ;@dzJ(Kl>#-TS6(rJ#&^H88X&=$~r`>27UVrqnED>gLMr_SR7B8z!Fv
z^EyD``O2QX67&~aQP#EhRg`9J&(K9DW1_krixP<c0PuJP48i$*WRV&ypW5(P6Y8E!
zlTgh((;HXN-8<p2JbGjE)y45)%9q;G2yW|Ne#!m+a#GWv;tT>bWyKp-e^h3X8NuG;
z<&rzT93)#{<X$>ssLAEo<4mT`41DzZ__oS+QUQuDezO@}&V?TBkNi0)O&_mQ`y~I-
zD~oR~J{;N)0$--UjGc(08>pV#*ywzB0Gf<$59cv|jdHvk6>F|YhK$g{u9Uf6-}l0;
z_x8hf7I^9d(|V2l9WGBZCT6d0K_B4N$^%0f8;+52Imlf%Y{3alR7QxXz1E#v*=4sA
z=Gel2j!RY9wOKc(_5WSiA-7!A>;8MOHxczTuhl)0zqhqkIHaiERV4fO?#m6ER58B1
zVz1Q7LATr2%yclA7rQpt!5jH*{DHGJmim{!sPeifNQShVAS>&x)>FPf4Yhg%ddqfY
zp9UEW%NM5vfWpMVn*30gc<Y`G#;!={?LUVR6*85n1$Mm8VR%Fc)#TtACN@K6I(MU^
z1)eUm*o!^?u*AQ<#kU{~3CLNoP&BuLSEu$@^9+^Fl%RYi#Z=kdlaFk*HosiygX)WZ
zNW59{PCaNtm4LPc#^*0tjY^Tm@y7rC&>VkE8|t>K0fT+QgfZOjeqO}{J+pRBT&SF7
z|AR)(IYXb6vr{2J6za5^(Ktp&B%DUZSF0Wt6VphA^`rcqK7Wy*p%UddsNUMfU_I#7
zE799%*m2#w`8qnO<0K5nhp@48*Vl)$ATzmYk_5a)t-OF@5*ZivW$%ukCDGb~;fFtt
z$BRZ+)(9{~QsOmqJ(;(#jBb<LT|L|$q>#-kUxUh0-((UPIFq6x;L+x<*b!nNxL+(0
zw4+v*Y>)d$3&!>!eodmjFcMj%2GLVhm-4php5uxyZYB0yhsQ|iT{a7?QQw~x+H+ap
zB>=TY9DCH70J-u(HQ2ufI8~RhR1s}2=>%BQ>DGU9j`=$y8noMJak#-D*fju)cH$?J
z=0b_OftwRxv06+T<xw00y!V{K^nHuM!NZxNVr_!^f01<7K~ep08wL@SlnyBo=@O(_
zK%}Jvq?VNKj-{3EmF^G(q;u)6C8WD!Ny(*~_k4fve>&rgGkeaS^V#RQ@9TPfu+wY-
zI3NnL2j*>C&OaDz*JS>l%0(Rjh`S#IaGs3~#sIDecdC8jVZCLZL!T`7jS@#u3p?PK
zv0}pVtR!dg+P|23v%b8`GayF_d^lnXW&6ED=9P_6uNK@ubqjXZ9%E+{s1p#q_yhEg
zzjjtImz6Re8;Q4Tr{nYr=!jK&&Nl*K8D&6m%g|r^*UpZj0%w)qM?u-kk*&q1_3(C*
zRN03Eh%JNMfSK6_<7OSm&`;Tu=|HO0M`DS6C~*a-iN}|7=Ufd30PCN=C|QA>vbj_e
zCt?6_G>Mm^i6hVm$UYYv>U0Q9!%Nj=Z93TF_b;9&)<Vg}<EmcH?B#cT8w7YbTekL&
zx}1z7`a(6+L*zAQ+6bA{%##MagCh&8*5kwyK1meUh%E|!s`HgTZ92;t0TF_EcM^H_
z{d=B|Vj*wf3^qQ}6+yB#f%*UabO69UJvGY34t4mE%=qdP1u<~zR)kgo^?1va@sTqS
zJJ54Ac6kwV;b-}9Y;TIwehj=J#E(P*{O>Y#!VzvnQnqS!lSbx^`6qL%z?GUSSliK4
zHp_UBYu?VTTxSse6VE#YA&&aJA!GZs88@S4!dBg&&!NvGzu=P`N%ggL@|peeZY=Hb
zMT>3XG1p4HW$6}t(-fFVu)+ZOlEwWd=QC&7D&X{fm{`?M<XL}I=^RP;r9MVh5@K7u
zPw`Gd;4j1nP*$;MX^6hqWnOWAz@yT$#BukK6!|uW;&}R-k?Jt*Fk8R3QExzdQ`3g^
z^6%~F_bSeJcRIvY8rB>tI4(4w%gRP?qJ-B~i7L7_ARudkv2JZ^>RB@29K1hjt?3bq
zX<-E{AS&Fglvn`RPGl5Z29Ds@=N(bVG+oTsiBT$!&XgnM)cno<-YF)yNFsH1q~Bfu
zE$Ac9&oGKJG_K?3L<CaaE3ftL6_=YE(Lul3LqjT?hHl>}4n;cM3aO*<$Xl)sshW;0
z<6gn~`!HIASSVfp=;FUeTuB!Sl<PGGm2QC*_qN093`e>)0X9#f)#U79F#`CMa<bw6
zgCqOl*vCR_mzFy`4vHs!7yjkedR6(Lt4M7Hp=5CSG?#PI@8p*>Y!chOx=PH=wr^Q)
zNrY)c0%7Vk)Ibi|*4eH3Q@8Ez{C(TDmS8+}s9TI|dIQ7c@7&D5Q;TgkoTRe{jr3yW
zDn|S>stQVVfJ%Qw%@rdnJ{<`plFpAI=bF}s^-&C@(d5mU_FPeF`HgRQED?iMk}si%
zWoHl;nbw!CJcf6kfP7Ha|Canez?-c9>7R-nTc&t)6y>zBp3r&QqJ5E%epTD1qWp)3
z5aONfO1}?SlN<AFWqN3*<aG7{_UJbA>yG0ys$oyW8yea?G*F#jI1PU?u-NH)2l&TH
zv(0*g<H1p$U70UY#C_y!z$bSWO0fGoR7$c4d`SVE!YCJpKl0i&`ua}nt<FzB*M2q^
zFzO|-co1>#xi&YrWFjpE(TPW~4*}XRllkjojp`E!AfA|c#SqIi>p1&}t~F|7#;AMB
zUQT6DE7+UQ$fbPsvPLJho_j`_m?o|dp4as9pXMK{P+%;%>id%+x26f98g(J+0`i(m
z;jdW$3nYgxyc|cf+l)`L-AHLMb|VI}<q5YU84O)MsG$k0`vH@0-TJV9VeZ?APYslx
z=Od}Auj%{^WhOiM(}teYt<l14gFq11f%Vu2**2v!mARLIa7q({>Brp9lu?g*iYy@u
z>&MnRphGlj=>9%pHh%U~!O0(9&`QaT(qju-Qiyh<_3+%>dn&+v{p!@EDZJLIu-bYU
z3+hJ=HBcy9q&RQkPl?rSSp>#pKxA<z2vH@{Wl}Qswc?<z0m~wPU_dl9$<_lK9BVg8
z{r+dzw?KmeJJGhv>ctI5pVH_I*{WvoVwJIgBl~$Ja3jV9fBsA$=P0F6l;@-zR)wIA
zD3Fy2nk=mSn~+mM(yr|>=slmW$4-^|`N0&xvcpz>AL5(zBrtqlr*HQcHn`Zt<#<}*
zT$N@IkX7S$Ate3M=vJd<6D!&5k!Z$WCjEE$jydkOVPZcxRIx;foXy_lhv^Tgs6u;%
zP*SYKkh!EVwd22P#OPdtZqHCoR#pBscp0Pu-~fY%L=j~2s(=6FDs}Zs=)4*%|AR%p
zMW0D0BZ3<UvkGFagRjyZb`q6&QwS)9a^L1?4VyXB4Eij;d^ydiU$zDMR^g&kF<U}i
zjo{AZ%@W_nkhj=ou9*-$2O`YH#ar#1|E?D0lS43_mfZEXm)|ylMTU<FxohZhGS23d
z(KT2*)b{C<`ZGdfc!hiK67|x72jw@xaBl<aWe`I3jk7U8Jv(14mGyZf$X{VL*0Qz(
z!~{?kucecCH|ml(re-|2+j3vY33IlVJ&(}*^ui0L_AZmZ%SX-Y5L;PDRO+)3N&tRw
z=-gk*PR1INUIawjI-43u*@?nmunSDe7Pewr&hxu7qvtLyu<izv(EW_i8-mBYSc4E#
zKz;Qv76$p=sNh7$rI9u}1V|555vUUT>~0kzo?0)8)MVr;tDgH+#mKj^!$`41*T1%u
ze^mu0Jp(bYAsDp+92rqF(=3d^%?YR+jk7tg!;hT>N#H4BnCSx;o4^zMJMl8~)!!ZO
zqbP>|U~BQJ4kY-?IU0E!Yy~HC_h|_`JQT_4t<UJhfJkzPi4QNe!*0`qk3OX35Sfbc
z!h`K{bVs$Q2(r|tGar?g6zpd}NR!E5^ddUsy<anU)?YyLm*sL!`;v9V^W|u=_hc~O
z^34Lv;3$l&&t(9_cjoJ{iA2>x+X-`pRUc1y$bNBV0h+yFn=uv?XfOlamFPPU_S~th
zE`G_cvj4Tz9M2?WeW@eo_4;nS$%LRARlw8F=6(JADvv}GST~P0!1{Z=1%K$Pd&k1E
zvliWy+0B1Hg{1mSDkxp*BGL%MqT60Q?h@#^z}sSIlRL@~;}t*m&mRxZ6V1)`21th;
zN&)2xcXpM%aF};-3&EzF5@SWY9w2e1%DdZHmYy$*VVig%pPfHr-wdXV9|(GaYAe1k
zr5?|)WC+8la|DU;w+5`<ZBRFCty`gV^n9%6p$S|bsA_9(=E(or4l$lNa{)FzxG06Y
z0pDRkLZvU^Q#HyH)fg6<_X2$ct7VS5&zEB>(rcY@`$zEdyuW?iqS-K?-N$#_zn%pa
zCho1eWK(Zxhk&U}ilYk7yOX#{M(&?s8-}Zpn0*uc_!uC0z81HC)c2{}_T`(ry_Bl=
zZBLatgI}4oL?bbuRsE@9gJr!|G<riIt>Gq4@MgWoaq6APHl9mZk7)%S>m=^9PYbiA
zl2)T2eEDcC(#D#dNPwU4fL}Gc$&45Xh8pK<_rCCJm`wZte$&^kIZdxwT0X2-w7`>O
zG3TLW!!0uf5P$wM?;0f4FU<=x2i+a^&|pEQ)2!LsmX>yUeXgKwo)w6ImednwY=48}
z=CZ$-_CJq>+;@}<Gj*Ij`A|SSt!nj7mdWwfp&-NSsWKHv(<3@tUte|2cgt;Yn^ldX
z;@2@VbpQYh-@R8RjCmC2--`2={}MD?+?`765svl)luhf5n&RIjB~YWD{w>04xT1#J
z%JzD&qL~TQ<OVA60fvx$S(=%>UYSFq9HY>Jb4Ebn4m#L#Bk2`#mpR(xaHSv3pSgw6
zYK&E;nuhYJA%5izLGEy`8obJ2Y@oUZ%M5%&pZo%T{d;d*{d$u*gtAA8y}J8)A&<a{
zcLOI%<D!09y4eauLUBw0*GA+9*eHIv^0pa?qg=4#MC->jzwJgcGrD|wZ)c$fXwc;=
z0?KDNfVb+iA;&@f)Rcww+V7YOMQ#R9V!c7rV6Vd@wR}y1?Q01^nyr|b?+M7=UsGOh
ziQucP{}k_cMOENdUY^aAo6FP1SRn3rzUSlXU#UigJgHDlN|qN2;4qIPI9r<!lfiAT
zh)<#vHoR!LyeOAh(DPG6$(>1j;2b?bp&sgzEZCiRcq7+D%wSshvCl-EdftkC$;aI#
z6@dOR8Tc|{5UPS4O)*8-&w|XuOjy2JXFbQ>_ef@|cL(9=P^sHH4X#qfK2Jve2(lA$
zU~+7>I!4c%0z;E`rClg)9%}#n#+pi}$spYvZUV~^_X=v=Cr!c<k<8032jy(-*k1M8
z0v)v32HdQeEu}ij)0B#+3!nUwWjzd(G;m`(0S3ao2%XyYJNoeKi*G;m%YqTAJv9kv
zw<85^TK{b8ns5Ag3T`YCUqb1u*!TDm;}NvqR@s2t&ga;k8tSKy(A3JI`ti-T6tw-c
zBa$8R<aPW(-(q}_e74POiHls7Hnu55(|}nZ{HhXo*8A*+-TBP%v4NVZ;uh$RX#^G<
zaX<YbBpS)jP1-u$dYX>}@XFiQ*P6=(J;A%YKVatE=Qc$!d~204hk{S{1kv>OLCzLv
z*J9G}r9kYJ;86o34ihko*C;Web~E^@NiT;QcpLvqAA;-~K(@V<4!j=J`2n3H`><J%
zBWSNC@O2JH`HJiEGUS5KV`J8P+lMx?zc+z$2<0RD1}8#QV_Fz4C8Y{V{;1Qw+O2?Y
zLI8@3SqGX41kudExV2jnm}&+edROU{=BTM7JHA~B*#2njw(`e|FxNbE&1GtZ_lMzH
zxljmDbDAw-Gz}?#uE0KIp!cE+aRcajD1f2f&K9em+F6&5R$)X^KHhCy8z?&iy}>ib
zCpVy184P#RPeY(OKbL>M<DjI$on4Wg2YHAJ_{izvg1C2cDdXL@#_gyt=?&X`If%4$
zd30^ME7!BewKP7n)g&5Q+7@}%ai*Nw;oo*<)o>C-fO6tPJCaz8Z;__1Ws@_G$<TNH
zm3?DS$CSZLiWK5%tzjdBM)RW|LTnRn5DAtb?0F4RbOn!jNCH1uAT(er=220z+@p4~
zXM+L`At0Kj5y&}YBpH{x>T$ttWqRSh6v$}B`tOkxZufOPWW@1XxANb!Q_g1|^}XBI
zJ37g|i|7X~_CoM!^DmvuR>iRxI8dqexe&NR`rCU>IjylMY{|O=TB0M6Cg7HT*ycHW
z^#^$Cbp6B3+iO}CHH+u(JW2EY68qT-W8*Px2xU7)PQ2lPRZYA8rF}*5<8ww04N4xG
zNZ%6*!F2}2xJ~$@g@FgZ*!k(?$%=(T&4ce4@CGM{Um1{i>OufDfbK~2{}f$Z?N47M
z#~O73W1GG(4N#x1dP8|7w5>BlK^yOE8XC`ylW#0z)jR7Cly|CTf)gmy0Hmz>2!ckK
z=I%AUBs<Vzq-kxtH2cgiay#q@*rJp_*EB{oUvXsIbPtg8$NWY?*?*B)v0rFEzKwoG
z19rW*|JVwt+xQmXFr5A{+~%oww}^(4VdB|?QH$m9DPFzk;!mwaP5HnMA+Llx0=@QF
zr(vs?N;=s8s@2e0jfhsjtPOy;hE3`j80sapwrW*SqW|}?xqAglC4ke1sftqo>Bb7_
zIndndyLkHk0*+^tWdRgVzdF_l(>!Q)zRc(e)oghR6+u>WJr<12v%FRW)D9{9umy%N
zK1j+-$=*O)h~*Z<=TaVVJwPko{U;*r@KZd6Q#3>F=OOM9hh#^mXh3UV2OQ41R|d(`
zE0a>t^PaJCCW5`)Kv+zL-J<XaSYuT3#bO!>%|q5p=S<%kd86`8v9n&xd4P8=^@<wS
zE>XwoO-LqFrDo%(I9y7M>)m41qA)MM(fqQjH<4>Like~_s39#q<L*3ZQea<9Tbvig
z&NJ!7Tz?zM3@$XR!rmxMC;~X^nd`9{KarO8kqqhpN5gC-%*gr84=qv8K*V*zONIaH
zzq^Q*pXdnyO*pL@(pxnJ29|K-THEK+3NlSr-n~uoHD@V|04F|IX0NM8Wybxx!>UF$
zxA&5)yESm^?r;U1l1=U0>0~{^NAFH0ORB~q7QK!1i(rzTu|y#!DG}=&WWY!$+x^+f
zNrF-g)PK-i9pb2q$H;ZtYHJFXMr0pk@Gs3MV{e+W8~d~Y(C`f!o6NwN&xp;bFCMRl
zPzsDlrdkcZn&L2+kjwQ%js95_f*MfDgQdNi@6>C6;cJ^d$B&m#4l1ZUg7}^%uR=XY
zJBdpRmwN)LvvCl;5R#(>M?`GOI4}xg|4{YOGJaSW;97BrXXHM{-+I`x#&x;fVVwEg
zTK*f8up8Mh7z8(1c`}O~87Al9{`sE&tjvB<d5!V*<C{K~ifIqC7l?45%*ery6=!*x
zf`Dx{M)q6GsWnE?wJV5}8PrsmNm-Hp+RLOqANSX1chF$`;wrV}QfkG_-wtEhb=4;F
zGNPo=i{MirTi$XEAQ&ACy}+~8{sDi>h_GRnQk?*?40)EEDHN>Kbl16$&LVcF{riIR
z^9NIS#A@7@JzbhzQ~?6e7qA4}rA!S846fHQ!;VzodBtf*v%oMUG0i&67&sHwf6`-<
zFhgETM>!DL0c%&LFMeddBLRebWbhM&a=2DmU*J3R{&BBivnZ_t8FoaIOeq993>t50
zC&<pEg_{7~WZb5lv7so22{9e3*ncw|b4vH_F#9c@pP30(Pzoq;Wn)YLRh|EBOMDuZ
zEt87r`-CVu!}4_`f-MFbA4~RN&_i2gNl~ps&ZmnKE>x&1VAyDFzQaERIaf<t;FJJ%
zM4vQyx$#Zx>Vst~bev~wdXH9ENPj5jH=qF%xI-Rz%iC2KAZFp}l|lFxp~>=Derbo%
zR}eC~BKRCdu<}bszzZ$S8R`GVVcq;6Xcmcj7D!HxC(&mB`wT1ZFNr9qgujIt>i`=4
zF|r9qB)3*;iPF0&g!rl=Y@>z6SeiVg2g9F92Z?XDH7fyj{=-f(+lY0xa1JJzzyhoi
zW-g*eeU6X=>oS4$^E9M(SrMT2Qfd7#Q+_hn7yf2RL5Uj5@vM9K{co<{$yi%W17-Rz
zy)w}kz7YTev%cS*3oPC{s&>D8W<u!x%f~>5g(!V!>$L*<%S0M}$~J;OP@x8f|Dkh6
z?VuGq3~HLd;d(wk{`&p0JReL%qWSR6(sSebL7P1KRN-}Q2Eb@x=mV4FOtks0dwBf%
zWo3z5so&{1TTisIAkO_u=*-ocRupM0$_TJf?=l%_*Zs6jVo?S^&TPZ`E+j;e)HBAU
zgiAh4fCADzCKW#f4t}4@GDjp3UL5Y?XHm~(>mp;|iyp%piz0ZQx0It40Ot0TN?>#!
zRyzim8FdE9Rf#j2<r}h+bV09gt5V>{W(P!wF3Tq5+{nuN&1(-UXruk<(o`CfSyoLE
z*Bx-Z7^&lQEK!kc%zmMCNpL>_PgvPKT3Q(W36svr1H6AQ$US?YBZx8o%IX*rHPfm&
z7KVj7J^(Vb9z_afM3~gre?FPG9@n$srL`!HftQYBE*755na3B*+hPLW*-5X|3jiLv
zsfO!bzE+?73BRA<WeMud<I^>g<o+@FxX0sIWNF%jnW9|qYIXnmBT#;h!)_#z&#uxi
z@AH3{%ZQSG<M*!IscIm}b=>tYu5x;1NDU7SAOELQGl%Hos3_Uwfa(@hzHBy%{r3W;
zI_p)``}^O=f9HoIR1*wq5fH_+NLkOqJD^95OLV2Ce;IHVPR}W~Z#tiLF|Gv25k|uY
zIbP9r@3*;=J#Jl!_U-T{M672-cSC@e24v?$-Nw`aY7wY+v4{81Pve^m?0B2rm`0!0
zbR*`X$Tho!DaL&1-w`MN814yrrWrkX(ZALYBWC(sWTn_89D3i;5dxcLvFBDpZx@d7
z+U7gp-dg*43g|vhk9jBoRs{^C@1N;dMloY$6(_qrGv9-8!Slv@%RQNv(*9MXl48Cv
z7s^gR&i!yw*U<3Ug+tdS+vkD<u{~$~ccvxG-0TGD{Ai(R<NWsMVvRtmpE8sWb>wiP
z-=PRLr<bT7N?$}Sb`?^C9Av8SxEHA~4ut5j=kf}YZ{ofd$K!4%->~|)a~wxd^~*QO
zI37Mql~0XhkvP<we{okSQqjBA&(b|xf#81mLK$F^*EL4DM|<S{Fwz+W`e+snJA;P+
zz_UhZyv_5<Bzw`R4<NnQ0Zy(8dam?{)2qv|STm~0S)ctEM142-0I@<>OOL7lMXfzH
zc1Vt4*?Rc{cFJ(lNhFiG?!883t#zqY=p0T8ZV_U9UwDcIVW^tWq!hAe#?hwyL+8g7
zr#%phpC)Fb>G?>H7!O3K>Mb{0)XEk9N@%vR1Lj|VIq^fE)ZC2%ZXc3489eLpx!RqL
z1TEm%&M8huqbZzS>wFc|%N72|pPNCqcui8=j~L~oj5;(*zyFsh4$|^D0FtSRmZ3Jb
zsQ$t|^mD0I=Dk2A<SRGlRHcU-z+^F2;~J4Z7I+m)CiF9G20cFX;X|cln>^o8*H3-M
zzyV96Ds-nvk%ofe>-9ic<Zf*<VP_8h+h5GnY+4$}bi<m!ZAR@=xIalulL_6Y7xyG?
zpBH%bhJ4-0=Z$JT@`JGz#HDja6=gxlsoY?LFPY8L{bM~V4Cq(bZB@rPeo00$pAv|y
zxn~V0Mn`|;!qYp}FIx^*apsR3&*<Fpw8eUMlt&aInzT1a^h5#-b{~8P%DXx8tN;rL
zWD>JoYrK4{=Wy}^+@w^rFp0!wbD)yo#pDfoc@+Lr2LF#zZL&c3jbB1-i{gc=&P{Is
zuR)6G&ie#vsDu`*-=qV>x8{v*X^IB6*ztO<P;7F>o>_8N9uP!dy$JGA@+MFkoS-rR
z$On>ukZmdOJzBp_i2)W=2&%kUNxwsnja*jX{fPg+D{Of^MGemrGPDj}l?yX}wrtcj
z6;gLRBeh;5fcK3(N2b*(v>0_h3_mihan68$z2_R(@Tsa2o8S;BBXK2*%>9ik-GkvN
zPpD2EoqWvkuRcN&n7TD%Cl_A!^;3sQr(sZwC~XWo_a5;k#D+J!O3WcS6s+bDa2R%n
z{aUQUxq*Acuwv4sl#aCOZ~Y|4=ATj&@#ODA7y4Be#0wAKW(y|C@aB?tDT=#Z)xB*N
zNY}SGHH9zOHB$H7xR^GE8H#ZSay^V1_?#C)*B$)N<%}xUF>Lzi*SdXGtFWMtjIGM5
zFYT$IvPp`uTk`uDKCNwvQmX$9R5oQX4IuxX_kD0`xsPIrG9wIQO=EK!F(CzB-!{^N
zW{2*3beMP_fKmjEG*wu_S<YF=OXn{+HbF8aFcnSQ+@X#&Mq4rxTnE|a4p#Bo|6zk&
z@-)uwSe;gtd8~)v=VmT?7wmdjanxY^JC+r70%5qW3ViN9AC>v~)@^a!ju+{~@@`nC
zoU6G&e&YjBi$8zuL?~4gSoG^15Nmr5P|BA0SHCpue0^@1O4p3uD{SkPZ`v}_FpB;d
zZt@9oj)2&TwYv;LTo)b3B7Bq^NRVu5uTW6tJZ<N-CCh1f{*%1J4lPM<Zud2_QA7f?
z0al^uU*gbY*AH-?w&t$9aqZrGLG+xGVKdE$OB+-XLg3&KNwQ<`+E@|HqJb<~1~OJV
zSv>1|H|gssNM_){GGDv>c#rRk){-zDIm{0<r9UL2em`1V{PamTe+Ccm*NVFmKY6Ya
z`26FuplG)#obvipKGpOHlM)N<C_@J;3X`#;B{_mHSmGLbhfuy0Pn}G!9&~She8wg2
zf(4~2@$h=EPIj+a#Drolqkk<g?oVRv>z&7<k7qy`@&iPxRcew&ghxv-&j&_em>$1E
z>d$j`ahh0W0v1wWrI9WI?*WE}l6^(@+-P)&Qh0h75VUl>dPGO;c>A~qT}mohSH{ar
z0XDJ!r15ISMpKNoE13HiN3)oS%{O6<j%twu*P(`f!a&_Kp<=fF6zKB)H{#wXN)L4!
zP#2heu<v%n68Am+5dD-zE@$MGAB13&R-rckPXn^>V8W>dBr8+^LR<NdAE1H+R=%ER
z>~tb;FrfydA9_hgblL3nF&O0EAe;6WXm&0i@un<tn|`%TEl9egf&t?f+xj@5Z7|Od
z1NK?#!76E`i!X;LyEG6&JV`MKfE*yHNa)rqG5BqKlWhO3_DdWCsy`BId<Z8x!*-PV
zAuIMKSCE&`70?sj(yk^1rptR9g@TU;2D*vGusVaG2uECVLRAwnPX2E^$Unz!%i%z^
z;LdYOZG2hKB#hv;s-m_r3qT{q-3oUdW(<HoJ?x%iy}gBS^QDyD#e7aov$-m#c7FP9
zu-)*Y3gZ>gX+dTKoMUt7iw3L+^R3*y83+q*vLme~9wS?k2v*iFLp@8&8cuRdZWHr9
z8j!$(;^ogIU356Ih5*b+6&L^i+B=bCspys7nv?>|NeLA?>)Zf%T$5}=*6)-YWi9*3
zyMAYhOvDtPH~kB;q=vWU{)sN=_rn=_%T?bU5*V2xLkewqsG&52@d2MQcI^kV{gKx=
z<*jEZC~M-!BE~QC_e0|Z>-2iiWNTyWB=I_jQ-KWpbVMPh?iT<B(sF`TzX&L53-$vS
zAAoX$sq$th04-tvr2?4l6cW`kok7A&#7&Lg-b7*m;d!7$aJm)ea24E9akBf>n%ZL>
zLJW7joiZ|tuWyH}vjEg-qW>b2N+w(=!=kyE&=vQ<|89#zzM!|QOortWmfOxi5u@4v
zd8)pfW9Na~uGx>Z#uC_&lFYn@k?B>VAQa%YDAu)xS$ESccb>Km*<lJA8CoBXAT14z
zFOb>dKmI#mE{}o;lEwF>5IZ-F`7;r@Yk(MK@`C$CFwj!qxhg6urVD`lvUOU-`cb$D
zTnL6tKrW0YH=7RA18Ynt#lWK?F_JX_P>rQK+1F$Z5vkulu@1#ZO!?Z`7x>(5uG%w5
zx)AHV&pwlQ81GdpSX|_owUYOEy`_c%rah7I9@cUy9oE+*bn21=P0{CSFwu2Y`=Esq
zsw-!hCX-wR#-?{6ervDLSQ(Xq_<w4$Yk<!xb{{Xx-Ky8)Qy%r-W;{8gy|LHOyE_u0
zD)s4l1X8OLiAi=g{EAu<@C|Io5-X?vg?K%h13wORXV3!WkN4g3f<PO~NQkXYb9Q4{
z%3=7c+k$lauBRLErxz9e5BvWUew<ILz&+aU^x^P|($X~q?USIvbr;#jLCt7iq`~=H
zpVRnkDgOO7wA4g*`<9TC-7!7$C!dvu&iZLRnQTWb>*CmN)yiDaR_ri$iyx%<HLDH#
z|Mic)tK8pXPJPwD`ghbuN_{r=UeetJ@JdlUJ@`as&RfB|M>l!@M9FsemrITPDUJ}W
z5t3CkUs1DOjtTn)2nyH7O+rWBe+#J*Xde;Qus*DvoEy$GyD0!bk5mH2;BT!M_ku=j
ze3QOHM&X~{H-kmQ9q{ulH2LugPts}x8oZQaW38x1b;kkHz)wb6SI{NHr?Cjug&>|>
z<{#!x161d_)`vof@#O~<cM{0J(GY1#-;zy#H)HXfw##DbIA9b2!aR8=mJ#k3*^7tG
zwNynFOH~y|G+*BLRG$21nHQp=O*iNqYP+VqAL8=x_7hugBRG?FF<4nfmanNo?w<_Y
zUuU^ZkQbacwzzSEfvi$UU_4@6#f3tMl3$K2mqbX7c~?eTCe@i|<_#xgz!k<58*T!u
zC6vlM`~@VVNF+IyGyu}s`>wqDU36}TXx0wQJTP85etTg^T$uFV`x|!=-62Zu)?(|p
zipclTKMvmrNXDY)-}vk(q@cI)(B!lJp%rz-@i;W>Ao`%=Gf5av`rLpD8lKYLm_R;x
zFk@`2NN5k&67%%UvHuEJvl)^}%*N`CXvp?*2K~cR@g3RK+&ms2xtSmJBVB#GtarLT
z`KGAE$K^1z<qTO|TnX7PZ^mQF_Tl-@w~^sGA%A^4+a9C9)k@r(d-ujQ)je(KrN&~p
z)H4+G-z}Vl;enJBPBkLs{cnkuX94ntzBxyDj#lamJT8j(3j;wKlcW%e;mRg#JT7a2
zQHyMl!Iewlz<1i%p1-D;pCCAOHF<`9z%%N<@FqY*@wW4K;DFJbvKRwm5-cd906}2s
zDt3-$Pc3$8YVlX{#tDFuUhS+xl$V{{(DI^G$RtbG_w23yLeBlf`fs$Oht2*jy=7W@
z3CWb=^+*};YKArfq40Ec11g<&Ak%#5x|Ei*s&{~Jp7R!1mmkLM*TtKv4o;Bd8nx-!
zG=-y}L^cVgMoEM8Ck+H<?t$sXsLfYr`EW*xVYzuh>eB4qV?1_#DnpTx{G6%?hT`H4
zpw#<{^wdnx|4L$X)FNVX0roA-Nx%H}``~vTJBxKl9I?Awmy;+v6O`AZw4RbP^1R%^
zvR5X}KEs{^mS>WM{Bt!EdLWwUDLyVMCjO7A#6?RBnJ2rzuNc5;ywaUB3VfCPK$amO
z2T|W*G2k@th389^HYe;zil&OPXD2R<RdhHNhj9KElS7wVO=nbg6kL_X!);&twU*e`
zJCw}SWZ=4g##7_!!{xrJPB#RZojET1w*!^4^6Xh$z)IO_p`9yq4``Ff$+^tVHy~25
zf8QnZixRW+VrlQ@;Es!S_3HxdH@N=^Zv=b~wAybq{sVI+8~O>gUBW8Xi%ZJ806Yz!
zp5M(DWbMZb$7Q$K8{v>T9-8=J56xg;UMCGsTHupZC6;Uy%jLpR&Kk3inVA69kDxW5
zY#D;e57P<(o9R)IFrBiifB^IUJEf&BD&$HgLx1K~2gZ@RCWV4>>*I%AC6fo!lC@V0
zK~^QjtUz$v9d_wn0|3H-O299aIUXP^j>EcNl-{pzo<7b2&+A7&pG+Cxn&D}44?HRx
z-ACt6g-R!cRFwc`5};OMc9?h~m{9B?+0Yx^?b|Qgh>rQHPn&+(LzrZmE*Y%*VK?m?
zr{(gnON%*(F*mkJsYjF2&~LC5b&>=2wX^{oG=&MxN*l5~R%r8w0H3hQZ+23&4u4TE
zJz=pOwS5D+80jS@K&;!wf!b<2K=}a&l?FcHjs)fzj;zU~l-1*5HI^Gpi1C(!gcysi
zn_(53U_J-^toZu><dFMgc6kD`!)E6;t$NeNAA+=(?2Gu;{6^lDCra@K0CI)b;wn-k
z-Fim0*07sQor-pYp3h}<zz$7lmQ4fj9bw-b4IlS}<d8YBlBxpf6y^257lGG<3@Y5!
zQ(Af}Hm#K#fPT9*H0>Yfw$c~tQ;HU3ixOnOY99qfWl=aniT<bw)GYmVjNcptrh<yi
z?DsuP1)7_c?Yil%FUC*L)MQ<-+pa7%)fsANEI|;_{iZw(fWPIRpGPl=)*Ao-+DGYd
z?uK*t($?PLRw7|LBDm;Ft;$3&d@m$Qc1Kx($Ni`TxbjNc-s|qq6@PRn6~W@wotR0w
z;{{SgJb^$nG82ONhHPX;ky0cfKv}83<t<~qyU2E=XALrv8J+r+yp3zFVn+n1x>L;R
z{ii$pIAvYm1e6?|PaN2D$tg1UrZXLBpGyxZjd&En{Ln_p^RHG$Ulhj7e6(3tb*H}i
z4Dj-nBVEuf^;{RZrQjxpCOhE$o(GeB?IIig9XN8gE}-WSIW$Tc%`9`ZlusJTj`Ze=
zHbZgAH7F}8Cp`nIwqTc6hfSGr0mn<O8%h+3gxfZU^@25<Lchor76-^*rFEJ<KwRM~
zjZLfGt^VZLAAK{f==;!r7{&@9Dls{;Ds=oRoK{a9N6*vX3wXvLW{eg(Rw)iuGrEeZ
zh3IhSTd@qsMLij@KHDNfIoJ3dHJiO=f239X98X$T>i!GlESK1HzZS4~u=BHEOWJQB
zV~q6qj@14pu_Q920RtdnTa471>Bw=dj2{jyhdzop@1kIy8n`Py#!;_0Xa30-y`EM;
zH*S<ql$BCF0sd9Yf79FRlOYw4hYWisTTXz1cFPRoSLhdg2~E1`{XXPv^e27j;Qs|O
zkP(-xK*a*FoDaaozCRm<Umh+xZT1t`E;Wo#x&YGY>*aGIqCd7p3+F-;z|ndZU)%1!
z3z@>95zD3(g{{abVs)AJNiI&PG}#II8(~LVLE95<P&5s0Yn%KH<T$#8(nFAwvb+Rt
z%p^6woJh~Dq2YEB!0<A6v_sDr-)p^pwIJW~F|kG{^cA}`cG`s`rpXJ*unB+-P>3MS
zKLOAfQSC(7d&UgcqaQ(rg<`tgMb5(Q&riRDvM`UD;?S$dU0XPP+VslkXb$hC6f#7N
zeOyFnzyu~Uz-e5sF(LqZ)@iw6=3+M^P-cB_&!keR?(}pO=#GDMqc^|k&83k4N7>(k
zmx;}**}Pk^u;TbVT@w!D?_)uNlZQMtb;=AE?3?QS9sZ`{ri}eCWU;oDm?k;U)7^J|
zM*;`nz*}l(E<%RfWHbh1*{*tQi={wci)=_qA*6Pj*10dQd0$}#C6zo1LFwSl3dre8
z6!TrXh+p^EgtIpRD4C*S4VJLgfm}E3a+2{Al_e%~j*;ql+W~y1C90YXwBqH^zqpn5
zZ9C>yIp+QO>!+)jq1rXa_Fo2BJ?_$S6F4aj?^{RajQ)6~6V<-e1?EN(YFw8wzgzXs
zG<no+oJ)58`@z<zSOb?OK}QQ`uFfw;ihpdrx)U`(wk?mOe&%zb-wCSXZF?$@d`&~|
zJT$~P^KH1YeEf5g$w8keh)sy5o97XxF!7COVCbPqzlS`|Qc_%gkH8u5ZY8Sqx_OpU
z0zTB@i>s`JV%|ZTZS{OoumZrxVaukn4Tp7DMe!U14tgGTir}R-u5m6C_ISq!ff+^F
z`c<<(!EoQZOH>qq9&LViXSZ1Q?e6k$uGyo)V%_Os6Q42kVctl9!-}ZD7#1=hKWwH|
z<20>^!w|iCXJ*WdPNl>Dcz0fgAXn_GR4dJ)iZpRns~Kjx@X79U&E2ypmfu;vaO*Cr
zgU-G}(5I!m4wu$#^Bd@E0cNe=9sskwuMA0cn;jX7(b?3`Ll>pp)yCI$58!827L|U+
zIftVbavlOb>c}jg84P3DrUHH{c$eRyp0H=;4Mh@S`y)U1dK+3LVKyp?B3@zi&g<!A
znpmkFvB2=~5s-rt*(IZFnjssa+X}I|$RCYyDK=}SBrwrqM3_DUC4UkXjO%O|?)x;>
z1GV9t`Bi)Qp!AR7+@PEVC2V(RYSWQWHaU`cJ|nU$Y}h89v6~-Z;L~wmD$|ESnL%?C
zb}9B>u(zya)O?Rr9f5{Y%iTBRP4>2Ls)-J;y4cayIDKjsNU&bXYNp+tx}auMlLgR@
zsiuFgA2H&bP&|KQEVOI++uhOJcdO8L>T*sr(K!H3gt1RF*f%_V@D~J5s?PL1<GA}6
z`qV1ydC?CVB;?eTj_eF1BOSQ=A@7B<I_Hd@g_2@_0WW<pz6DtdPWsT8!Yvtpq$a+7
zTeN*v=Tn5``8uv*O0PBP0JI{=7Z6_`CE)2Q8lSg7RYV$2Ucpz^EW#yh^=vUarPKJA
z@x5|XnTcd;>f}7ZsHIDVaem19I4Zl&5@){U--hyKy;XwcWp1(DVGjN+Sg%&qzX!1i
zJY(f1zpiDzH}Bzo`A5f>W^PVOO-E(KxdmbSmwd1OWvj5R-?vC`=Qw;V<mt@vhlO3X
z%|=_V-t>QbmNI>WNC){nYBKhK`g(=m85X}bnUdG-11GuT6(ahRio*)y`}z)(F1p*G
z9#Ywovig3>d(w8pY4*;_`ElGRy>-VNd_yT&G@mK=zosg$bVuI4Hb-a+^CAqJqXY$2
zv6GN_@jdEZ=o!$vlD~4oF^#sENX5I?;cpC!jlFb4Mzd?paN>#3IGz{@A_2YhH=}n5
zL1<m>uF3JP<JD+cG{YfP<qBdj$$PB8ZQ(-mq_O}!1J5U-t|b!bll>=NqojWH$T`)8
zIIU)Ez{TUo1E2oSIVA4kE)<#?*ZyTD!rsncFq!*99(5ky0TD_a4ioU5VX!0ksWAU+
z1{d%im#$TzxsXR&S}Yv|xSvVGX3qI+_(-sf6f=O-WS)qwaB;0~i(mf^FY-+~7tH6u
zvo(X6B$8a<<d+ojhYv&AT*2NJ$!B$=B;y{oF<hH^?X&0)d^Ww#i`mfJ_Q%rD+2iNf
zUM{)$dI)bX$P);~sM~1iT3=&T0(dqahzT0bCe~1Vxb>tcO5HJI5=WCBXXLG^8QPV~
z+p%hO1!=0M(>8x4EF{*=p0yv~NI&}BDfQgNg$*c8CzP<pD02PUe#=#=A2V!?uv0`e
zH%}rcvO1m~;zLKlzV)UUL+`Zhyt{Cd^7olAKZt{GnoKI--q6chD6Lm%%^Ji0EC-U-
ztc(z>U+NhA{Z?RXsQhbJJX?qJ+_e-lPT6qvo3XnD5e>;Sl}+w#=H2xHmbv-D(5u_=
z*3d7^vnR(M)|4$4WwbrNf<e}-m3M0(8GYVf*4<fccNQoG*|e6k)!HwU$T|j9AblZn
zJ)ciyZmnT@-h1$4kKwPPFc*HzsMV}1F-M;TB?b|}Uz9n2R|0iRi*XHJ1ET)34)cB`
zlqAyXey@JDVseDkIHU{?Wk*FBNqgOK$z<;6)A$_$PtIY++P<iQX%+=-FC@FvUQ%bl
zt9ozMkouuyjtiDu7Z<I${;zri_}w+nJ%2AA(=#VsApQ_XWEp5p&(fZ;T_Dc5A6Ahs
zsj@3_n$-c%K#USs<6vC&Og7uhrf1-%DD_Dfwv<$-`W%n$Qoj*q5<4*#!-6VnSnE~(
zDwhS>;Vd3cZllFl)Kdi^Vz6yb;f2sh=bp3)T5iIHds}~)+ux`mp;@Gm-3V#$nFp85
zM(Tf_ox9bJtU9TWRHALRrRqP9mbyJ?$AjRizIF}ZFxKyUu?Hu%bvDONeyYvw#fg{Y
zFhx*+kmc2a6J`7o0<LwEXn5RBEACCHoNCMQ=2-`|_x6|KnMyzAaK+(eBttINXOgwu
zbHX^hGfTEU2<>;8wZz<&ARb-b<NYVEI~ou~E*<;p1*{-fMBE~I8Oj}M4!bc2Bj0;e
z_v9zmFc|6Yi(|u1=Hv;-!;U3X<`imri;-0B%e~53<d)t>%fi+y+)#L>{rexHE<#jb
z=8wz84=vjKL)B@m=2EKf(_&1-3`3r+=`ckj;39>nmTyhDNL`%!OiE_SDDcu{)aJ^t
zUq}`Se$^Nfxmz6-!GzL|ZUD|YyKDvfp!Lhv2y+QZR3EXol!zyb<5tAG#zB{-LgB)J
zZ!S|upPNfEB)YnuqkfVzt+Wm7G>XR|TfC1#ZY{K38w~aJT?gRu^ABJ|VODc@GQJpK
zeuMcdsOxic9RKKu^1+^7yLj=6dSNk}hnvU6-@6B&>&mn-{YeeCe;HSx<Fl{-%Gx+H
z_PjV|7sX$k#w_rpk*y9D#LWrDb;sUd(TG(=Mb^jMdSzE9v?)|DfN1PiL|DI)=zH4n
z>~okcSD@eM(%-n6!r!t5$z041za#o1kpAa#Hw|1wQ8rVIMeOD_toGd->-_@nK!z_v
z4{{Rn<!3q9CxfWzbXMo2V|9Xe``qU4@jio=nJ3;j!%0}+?n2^T<W+yDYt@9dn{<=?
z@~TtU$&$PrqLN@_VsBLi0kT`Oqa8I7Oz!%W|3iH%ZD%`fTgS5Y<VJ{QKE4+0&{<wL
zZ~1yw;Nh@~->CNiOv=$mceF>Ruhg{W)UK_I39Gf6uDO;(=&Oxyf0KyeV(P<0w5Z=6
zHB$1y+{=oLix#9<(m%nJ?O=xp<90b_EUdkEgBOgXY)XIs{d@ROr~ujRAyj79?5(<O
zY{!Ml9_o?3t60}8SqA6nlF#Z@jxL;B@j)L#;CW~JTkrg<oy+#v6eS=a_sUCT<Ow9o
zC?ifM&KCN0ddXTeW8XH5A@l*#I&vRD#g6dhn#35=Yor^ITrnTnAWIWS@Eu9D78~)E
z`8(7)`^{dv6`Z+!v+NTRe`;5p5IuZNhMxL0cbE+6+PG5FUL`{Vr5;Hg2y`qm_P4tq
zt$3h%VLsUKFh<q(q^ou9HB3u8_54G!9c6H~H{sX}OkvtQ=K`{Py0pho>uyjaFm7#i
z$(r5rAdk{f!Z{aKbI~L#kClW2-brCL^?8b!4i(HsR^3I31rJ@DS<1!R3A4Q3+gFZ|
z6A<Rs=J#n#v)r@jA9<G;U?lwQDna#d^c`$-#^pSGo9tMKRqfY5)QN(=$OT*f+>}l+
zmY=;95ggV5zrmCC>x?WMpZPr=rxohf{0&`_5O2RTlKJ8Gt8mOZy8gmK@5m}zn@uHY
zFUndD0Tn0N#r5`!SVu~G`OVZ`UOn9h`3E~mL(0f!&6H0I_ed3{G1?x+2EP1YD6e2s
zn_OyT-@Jm|8o378{!?sAU*>W42zZ9K`%4n>?We0&M+%Pmv$EywXfk`5Ll!F>%i0BT
z%BB~0B<yJ9ERKG-ho~l{FP7kU>py>dQ3O?DM-91N-+$2{d4lZI`K%Yp_DIFgfzrq%
zv<rQo|LsS2Y(Fas$_;Z>E^L=j7A|P_l{;nA(3s}Nt$AzbiY`qoz;@&>GJLW5kxl%n
zLicq6nUF$Cj~eU;qUoRYaZ?<mP3=8?^!NkS;z7>N_FiHWdGbic%yz@f{y4Tx2dO9;
z*!p-|tGF1e;&bzwjKD#cBMqo6%%o|@YlMNEIsWU%nH<0Dbd6TaHBvAUiE$RCC*(Qo
z*J3`{gPb$Zf5q>aH>oRn^(sD_uz?WDASeDP*9@`)n_j!WkzD0UwQ!vWJL%oBLAhI2
znr^4oktkzdUy<6C$ak-B{XdaZIJ0)bo*@IoqFpL6Bm0AGC}$gsuZB@kI2ZZ1?>ws2
z)EW$Ty_B1m6qW<{!Qf(k72&2FH-5!rp6g|cLqa#`H<tKLuJe1?5UNvG)6pqqC256D
zc(C0f@A0p|7q1rlvfGX}QTJqW1DC%viiR;}xMQ}8&@+RM;;^8+seTv1>0jiSkYnKt
zKF8zgC{dJfPOE{zl%o%V8iPiowaD8CR?zDR+2izVjJHAsesgepE>)a{v38ZK*(GkE
zO;~b(&S2HcFx_O8`n#mqnwSR84#Y#f){zbVo{joEB`r3S9Dc`auhy>GZ{LVr2g2X_
z>gynPL+(>$idy>RB%bGaMdZoRAB^+CjCGdC81g^jTmH>;Vp60_o5%t9I}yh0BmZU|
ziT56E8wHa!xcp)TESCs(cVFZ3+!$?0>Z=vupWnZ1PVv6(;Suv1qPxHGps~AKDTt-&
z!+ykup32DnOi=h$>ck5AY*?6`AASxz+Mo~D_*rN5;(h8aY<BHzY&3z!#5BvtWZ;8W
zJ8H(D%lQ5!%h%SiIbrWHeGh!kf6tJ@?3p9i^}z2;)F~SXZiy;b#5e@A-weeC1!Ojn
z&Hhyz>!M$#T@dOojL#W&WLc|WW-rwG_lJ+~E_d&{G@d6>%Z%l^iwAX|&Et)I%Tx10
zD@)1iGUkZ4{AKry-7~-6XW5$s4N2)ien<E5=7TBEDwSusZcs*zy$WtQ+|{m7S&%&P
z`FR^k%2=r<fu)Kb0W&dvGvC~Sy+OU-x<$hcw+py+x#r)%e6^((G)~}gNEEUvK->2U
z&vJibPwh%{)H__SG>ds6W%aJhgz@8P6*a@dv9>caXwYV~;FZM0o-;0V#B#Jpq5hT&
z6f)oMrT{zQcmC#(ze0?D=_YBuNWFlsQ_LSEI1>H2HJqW<+m@$8l%7_FJN{f>D{{89
zrwbTtaEppY|0h)3a-KhLbq12Az@O6v9Pp^vCs|T|zl|_Ee*;v4hkC0j`zs`fHpYEk
zbBX)YqpazAMY#NAKF9QRs<LOM43DT#kNRqJMJc7B!QCl9LW6eTN}BIZCB9U6$DCP1
zmv$0vD}4QN7I*WjvS+A=eLg2fj#AS8m7+fK`U^@g{W94pN@5LrZd0e-?a{3Nk_Y?5
zY(9Fl)_RpLp^s<vXQD&fQEaG;@f)K$u9we9Xm*b+>!v#54Vv6Dr_fl)_+Y;v2Y!SN
zMCdH@Q(UJO3C>o>zn!WkEQ1Xc-#<tytGwf(bKf;H?Tsb@Zev+#I`QrR;$y%B@h2zs
zGqdqqh4e@`DeLtdG`j=1)1Ia{j7=>Sk<DkEl2=0<(9w-C+j->9<}mMqD^h*;pB$1o
z0=94mDkY;Sq7T7>77m77(c(+?<~@2+r%gxnA%b}e&Vxq=zDLNa^-Yjxe<3yj9jdO!
zlKK(#Dz2S@rz*w~ks5k8vjPaTRS~0Gzm+^o#o30;_7-Zs^yn!2@v@Pu>J)z~|7Moy
zCQ0DK8S;zpJd?nNlJ=T(_AT<i+*rEf6s|AXDRV6@Ff6Kfyd!c!K|v339=!Du7X?8r
z?r*M6nnqU+|LDDn)Zi0cMjJgdaK3S;|7kn)r%r6&Og7T?X#!J{CITLwTNQrtdl(}x
zQN76y4xu|7N>9UgiA6apN|Ux)RfxmPGwIQT@EY!%-xR+;__LIA$C&>4xtg&qHq<X1
zxPt<6nIXMw20wrsr~P5EozM5!;px&rl`|PRsMS`@1vk?enU`M?QPuEj#efxNObp8e
z9+*!k54f_}u;x5h#ghrQgw?4s419gfF}?tk|E!Ls3Bf5CX*y0RI9hC{OFJ*tQv{c7
z4J6*{fcPxr>dOwTzd}H~%^P=TH8!w<Gm=^uD~_MyY~V)`S4o<yK^v~+0OY6F?Z{fY
z*tYhTs*jNk2KC?y?GYA^%Oml+FiJ6BCVO$$h1q>=-LkFOONIIT>DTYET#ka_k8Ct0
z(Mc7V`W;^!3J4=g(&`eFFww_s#9itwF-<YhY}i=FZUP>61AN!Hvz3ineqQR~_mc<X
zT<wp2o+;c=ZR4_f@pR`E`ohS6lv28L?TYu|&_hfJ>apUQjTjwBx00}BEX8Vlv&kMD
zB5P4QES`7rhojCsc{l>@XJ0%gflhu(M$Kg^C9)Z%pt^)7a-lR9y`}uCZug?Q6PxPv
z!bafKLNsFM=6kU~8twUp=d2aM5T<a2Yt~lp(U)@I?mJQ;l|t_Fy?Ph%2`Lv0A2}NG
z>Cm*{)@;u3Zi05%s|}7u(Y8Eb9ZX0{Y}y$8QiD6Jx{9N$T^n<Zh1ig5rf(qAd?z<n
zYu%5{uJo2=Q5Rpi9w^{RbKj(S&V`Pd&F7yD;8wX~y$RUc!ib?hZ8-i4`CC9}oWZ2~
zQsB>`QFRI?Z*u(Xg}cNL<@5ZB^I$F?RF4%;CX}`HP+C&M=7-BgR1`9OR{{fM1fX_V
zISCP16Is2%6T7T}u6Mqm?P>G9JLy1swYHt^&?mH$5eV#EU=P<sU;e)1Hna-EUMXIQ
zn2-&|0j6XSIguql_u8=i5d$djO={T$DY4wna*0ybQwv9zjGhw6PN7Scz@lHJ<B<5q
zVO1J5jo*viqnhMyyhA1d6=YCOJy<p$LcGqyUv|?fWpF<5nNO`raqb$VNc<s%)6CJh
zC`4A7bG=20KI_;-1CEMM6bJlWQlr`C*=ku=UNRif7fbbcrj#uESU+$j00Un%O)pp?
zCRf_ui8|5<HAdC@Aq|$0BJFE8!nKa<=4x_`#Jsw!n*TU(Uf@SimT4IT%ZfnZk9Ro(
z@{4S4{&c9k%3ei_L=gcsGl?f_NCuFzGetd!KXQLWXLTO+gJ^fTX!)e(zDW}k{;!X0
zUbZyDz{*KIGKNfpHd03f3#eWfNArv+51STNmd}A4?$r{GTA6lOW5k&p3ixy%Me{^d
zKWmFF(-1_++I{%x)2xCG{O=CMbE<@8GhXXe%q%p?)<1~9;HKY6>fTRzl|yPd@9*Dm
z#ns1bAs2vysPC$ew$HE)E*&^9kTlyX7jj^m;T&-E0lYbJR+FIARQ&Yt<>iTI+^d7i
zQR6}l<Xm_=J$}pXLCMM7x2lvZio6@%)4kud^5#?sYL&mKGu4raGC2Xke?4eZJCpsq
zp8H?lf3Qo827FW`x*T7Ak{j6;%%+u<SLB5$^Iw`uHAHoTBsEXPe4Ht?vbP?+6q1}e
zx#qu~;Kdn$HRobgY+!|nUPF+_Ia?oGGxb0G){uX$z3--~>7&}|sj&%u?=B{*9F2$^
z_b3T02c_FLVP36P9QrM}&FXL1d`)=%{nM}S{*OEUeKv-7U@AdJl<eysrjt1n==w#4
zzo^*FfXdtC{gzB29A0?_3O16s0tJc|qhsDjWbz2~ptXFt9q)T%YYN!L+)X9>O?<=$
z#>fVw^qmyy?w&{=a>OEQoNVv?8<?aQGtFKNr@1=$fWqftlnD5Gi#RRQ$FpOW*>pMP
zj?0(#!aoFqhvwL5tY#<nJ}eh|I|#B^lxjbqpbp>h7FkM<#H0FV2E=`q@>aUj06iP`
z5+Ssje5-J$*iHV<BVby#%u+q*0>Nha$2p-x<T|KuW8BR47k3Sr`JHkQCT692mk{!*
zLikns-B?_=YYYK7Q$5(DZor7Teso4)sxI1UwEkD=(@q}k>U)uv1N374t9<>iz~x-&
zprN3KLars-6*-qvnOttBY-Nmv{?hpjmG+lVxD0l55-W(tLj|l`CXbwZQX&xvVW)v2
zf};d4Kj)Fip_*y+bA+9Zr+3k_(1>t=9-$@f8w)kF66KkVo}gzk<PlGfsVf{Qy@Dj`
z8Nc(3W!7W6%+BwOe@nvX@&6)_n`)K8!ewMCyX~`9>*K}WFT0=uhQQ%`M#)petQmIb
z(uVf5w|X~-*6<K6q*_{U5B?n&-XHwpK}MDMe%@_i;Xz4dwy6kQ4B&p5PpbJ(v6tIp
zf@Sw;&P@(A%7aD9-}kyVPUg|}lTzAK8mcUod+I;_A4}iiNcI2yuaK2g?j_+;*+RCs
z$liNjD|=icglj~}$R#(CnZ3uga_y0Mlk7b%*?U}D*7x=P{C<DJz0cS4dCqyPvvNv>
z=%-a!;Lns5b1Ct*1ffLd5YOD2@QU-&(!iFv)21~^#6ZB@NLLPdI418S<XVC~>TG@j
z5x+)wkihNxx*@*HppmU}q7Y*bjL(>%%>Zx<^{^~{T?Y|A{oMB11~U)MvK2<#DRWBK
zoJl?Rn!Z0zVorm#!LET3<R`$aRZSyL5qag{%!3H9a_uFqRvD?m--bvSba${PHf(l0
zT<Mf+9H@p1Av3dH{0gSZbMz@e_mGvi7vKojup|y1$0j4LmWi=5x4ep25{mnNwqyuB
zARlpNBr&)jM)ceuwZ%Z3vS@5N%1k`6x90OgQGJdiT-r9ftt=`_5B1k3%AR$854v@C
z)@NTR-79~5=Wm|;3r5Rd7g%oXBI_I=9?YQKmj5GVhe;_@|AHx1TD1{WWV++eWtIEY
z{g%V=f`zHzLmPr=2bY5HX0d@R8~2WK5Ty~%M{ln_9bGC&&~d8%qQM$U)(TXA1oXs9
zuj?L{>L5na;umv<CUcs;wtMl1kcw^c!)7;(RN1_i6*-Dbp^d5aulgVKsK-jb2e7{{
z*6eY?v0p)AF~^&q%2XM?xC+o$EX8BF!uLZ?*}|{QB)E_B3qqpfqekSeX*NOmGQ`=1
zFm&SsUcJNn@5N-gf;Qh*Qkxi~L|yjH<zUh{|9v4KoA1Z&dTm{fDHMLnl8y-&J~}l>
z<*DqM(~ytQiGbu;B=8=1d+x;&4`3RU8>tYMVLJAwjpMQdgJI4cnEkU8;M-2XI^fTW
z1X}+6^k_OVTYDZ~fmHHi;J#x_jfEQuy!w)x==L3{@kvqNR*&rRpewb~Z*&{3OffLB
z0?T}pTo;@Dh7M)TAUTOl26+~RPI{2$B1WU)xtf^#5C0Lp5n?ir<-CW)CKRX4S*GU(
z<Q;$3i@K?5Wf2}qu%Bw4&$&>L3bdYD)45oRAkkcipvnN<Fs|&piUNX;v=}57G>lw2
zdi!VI|2P_`&;#phmxkSHJPBtq`AWI-WhOX8GdHpdE3Z5$HW|(1v5z1M!60sVmS9?!
zP7X$_79-8GkTeliS7s{svtSDZ&Gogxn$^v}Cr#G}XxSdk-?Gx1lNIS6#5xR~M$q5a
zq0i2RT24|E7nVfL-X9+M2uh5+l?Z!xf0>e%eV)C34EDC=s1Rts0+S{v?YgZ00Nw7q
zO)7XR94F6Dsi4!@^!(H9-<sz;>}IPJ(vl%Y!JF){xtqi7?(gmg-;ac!pgSmOU1=0}
z>*KH`jxLwz>+TR|lCZr@glo7|P;s<G#&?RNl(#5WYGhp*-<$vv_|g~0Xx+$zE5t`@
zaJtQFYq@4eskUzB@e!_kZ28FP3rKSLnJW5N5c1Y}>KO?2a;-hbJLbpzDvBi!wX+FA
zEX_OD1T>p%m-#>ltE71J<)SeAw~1T57&eI1Mw!1*{9xN|$qTD@GU71}x27@~ElbJW
z6&rz_P*R_1cSjoRm{L6~9rPB4`mOsu&oX0R<#!wlqF_9wI}teGwHo2|MMrcG>BMP@
zu@C&#{!kjPA*%!O_@P1kg{0sia?%yAx|`c>19D}MuWfP<d2R458H5^D-PT8pme=dG
zfKeyJ=aLPaL0>{$`0NwlXFI98Sh!SB;~6Zz@x4$br+r*3ky6;o1mAqPue3w0ap@6E
z0nT%Ga_92=Wx4eqRkrBd!}oIq*<I~fgRkiMJv1<PE_o8{q9akQ@E6Jw9Mnw3BB_yS
zE@lSwJP%&H-KgOQQcrO?qRJ&0N8DYp?p48ERW$M=4ApH`=~$_QnF>oLev<X5C|1)Z
zcH2~4mCbTNfU(+<6_hh6ODs6GYx742Ke<=ghs6AqCDxl>XW4^FPZrf(f<kUCB~Xh$
z)#-x04wqWydn0Wa5zuLVF7E>bc%VyAP&T8r@C|(d?7ul0?|>L-y}lca$0@x7_Y-gq
ziO0p0W1IrdR@N3Dzx#kAJ75@tQ-9f&X~l`N_GUMYwD+Chp#mzzz@f$bk+>Lo7=&ca
zCZ+atl}$A`s+~rAmriV2zrVO@TZ%$lE4g<8$WM3%ljs0n>%}j1(+67(KO|b&7Neg^
zmiS}RL5zxw<fW<*^!Sk!DBWi*?y#)ffimqtE$Lj}I4Zd?^F<8_ibpogaO9D%@&Q|F
zUI)ac^ShLL66ty*mnF$KfB)yU65X!Q&mF7Os&OlB9FVj}anlwkrTBz#s$r>-(b79r
z|FuT=^tIjY{z&W0(;V{^KUBorcWtPm31WNaWBa|W5Y=?sA^D%23*YbLn`DsHYub0_
zA_6;Y*ttm~)(odxXbhsD%scBob*7BMz<YY~BVgCzfGa>#hdax1;A!@DtbL;A)aa)u
zE{;N-CP)6G4NGT`voT&wdDIo=FRqiPU7;?ORzV5B<v-$V4nmKg>@BQlaZEe8jy_Zz
z61aqZqWPm)LseBQkhI93q&r0pwpMXvrG+@f$fo8g5*Rn-pN(tRXf(LLG)EnBGuFTY
z%uEG-NHvOlcN8*}^{A4{ZqI4z*(pNYea!pJ^~jsP_GJ%sfl;W^;@X~6NI5Qeb^;#G
z!+XY>^~hqxE%m+HSa{uh2RB6Gf?l_Ws6Xkb)o;(CwEu102iIfi+8@N6rrr9|^k$uj
zdoPiCy~39l@35Wo>LV996bAU~xURd`2VECHXI{rWI?u2CXsuKfg6e(135hThp`!0g
z;E1=Z_hKM;lNcdB{aAb@F%xH9TzvAD5PQ!#qU9!uCQw2$-W$}eUHHc;u>$&PTAdPM
z;gzos=Y{&DY530w?ubmCKlG+A_PjaTzYXA#p}DusYFtYl_L#tm61j<sLoUn#bNLUN
zI=gCrlBMJZa6yhE7L{|+<9IzN?~ET*{JFXcQsXzdsJ?->Ivp;PcJ~U{D%Qrk&qkLe
z5bL9#CY2gAMET5DG!P7V#}IWXZe@yYW|MV;pgcICcMPE9D5Z?woaHz>w)9END$;OE
zJ4`8uXSAo)g@aZW|7ia@s|W4<Kvf?)o!3}|7@eEA63qAc5h(uPmtF-m0N&SCpNbb<
z^!5y7J?Lp{7}B*7tTBl-MaLnt9J37Jtzn-O)rcuK@_%AV1L#}TwY{6aC9kAte~*62
zp&9Z}9{=bld8+pfUB^=8)#R>Z)$4zIH+6eS<rBFW!$F_l%x6<XP)_jm70v5u5b6P`
zzT=^kvTx+f<j4lpGZqRtKD6<rG?q4MJ#8#527r1Xi=%@*VgJ3w+j>NA;q@FP9{Pwo
z7f<1!em9qtouj$NgiA^PvH;%MzpGBeWLB@&i>bTV4>U!5iN=WhP0ZZF+p7^XDzvuS
zaS*IVj-(8ByN<x)$`H`1zivH$N9`6BWOX|Ci11g@6Q#EAGeb9?QRpMK|Cn;zU9LS{
z35dB(z&kI+3p2Vy<{V+LklxQ)+u(D1hbv&G%vT9N8H`fe>X240K1RgC8k)eU<9zaB
zRsa~$zY8?<v8+{+b~y<7(1AN}ZWXg%KA9opgc>Y65M8H?9r3;dF64(P+xGbB%|t~t
z@LH!zo81|98Vp&Ay?ktpe>A$pzhv3f-AR(8Z3lF1)*c8mKI3`~eY>ul8F?nsc~5;%
zn9s%55d7hDq?*XY5AA0@nTXue;}K^K@+h|esPkUI6$A({auE6)%=HIHdIgy&{e{G)
z#VPPx-qYQ`^C#$Uz9Iba)+Go+SiF@M)cPf|-(O*F`GhN-<el4*fLS-`7w4PkJ&9uQ
z=XBq35QxB+$)X~oQAH?)CvY1ZK|qk`t7Ep{K>cO9^rJCUBS9d)6UfXh2*?kih2Tul
z5~)hVt5Mp3JHL1IPwHt<Q|PU}iIYz)9)?cUZ_0xx&6~VI?@yXwRUoN}+i8DDLWXq>
zl(tGU2VWKo!Ca^A<^I)V16lQ8^j#Z#<amraXdoZ`poWa;63v~D3FNM4eM*^rKg~*V
z_1RvR7h9td*pzRwXC>@pGq3daEDBd`c2ZXi5F1Jz^fhtXZ?Vq^K)RU4n%d1yqZ4_G
zoUF2X(h?UvFf<T!7vqIKoE@bkhhJamd#3dX9p`w?p!n^T)0)i#JATb-7}mu)?g3Zf
zT(xOkkyHQF3zvU%?8_I>IMq)i>6WcruS{Rp>TA3dT&-A;MPlvY_uK6*%}d(LdkQ|k
z;(YaA$&CJ4=Lkb5LPfq2*vL%kH@i}aYhh}Fubgr3<T96aw*__49rGjEW78^ljsPg~
zspEV7E&aNuV6ff}3_a2ldS=GyLHj8Kn{zokU+boP8NiZ>wdt!S5R%f;iQf9KSUEE8
zC!vm1LV3~Zb6WnG`n68urZ5zMaz<huc9PrkW)yD`%p>+gx3;cEw9?z#rohpwBM6+G
zX^x~Zne@&UHZkN};x<g?Qr$d@RNf}idsPSn3m_4C?8Ug|HSaW2X7Fe+!MRz-{nl~g
z5CAk5%(T>4iA8xGXI6HpKC5Ye?>4N~l@rJZz$rx2gk6R#Og%1KPsmT)w&blk?rX;{
z+m%==v?N@Bd8u>vlT_I{6@QpEV)PucnF>F${&E-y!+wcg)>~YasL>Yo*$5~?#M8`l
zsXuIe(=9(RC!wnQ)hOBY=O5i)ZC%KHxr3zTuTKT0-_Whm#9LVL>?Y}=n?Wf5%El?(
z%D-8U@<^1qvZ}+HY;*Mw3dx`PKu|h0OmWDkfLl!}qL<)jhGi|4(JlkFF}+!hAu82c
z)nXJLhJC$B`BVEE0Dhk0#*nF><%DemWJZ@IL9Y$BoBC$|zDaKD6d4l-H@(t&exV(@
ztV`xGfB=6e{wE2p-gm5q1#mzZS9Lul&`sxKjzx=7d$tgJmk==!gjL$z!~NVD6QhWC
zq~#@iL|=S#Wh)ywx+F%ve6s&zoGvVB0YHfB#h#+B!lDB%Dw`I-qgr)47+9Og`^(n{
zh$D`4`UQbDk<#qDvtI3-uQuP-hZFj@Z`RX??^o}nM9j45t;Sm?18r`HlKV?if-|(k
z_ImLcC71|DKJhjfeYmlwY?fO~OxSOQkeNhtLjVTR#njMlQwq79=F|TiCJ71iY---G
zlK~D_+--5UU{#}>j9@_0OSK75g**Z6d;E~yWJ_a<CHWvC_E2>#^|&ZB<a5XLmDk``
z?Utugc>ou(t5WN2ZH!VX&y?V{>#^^0>Kk$`RfX5KKO=A%b-jhVZ7+`R&hJZ+O)*6`
z#$<D3<NoajcD?;^L_TG-O6#k2QoT;cdayh>{g89-#dlt%oL9L$X_j3}%84M96%9&f
zFcNDco_s$lRBz>R0-O@dc#4d8-U?#=^^?kn5FY<qH)Zl|?=19rvnHl&k|Qn1<CNuk
zlhwfn7R*tj?>j@3!ZEZsxleo0Ium4ObX~_u<rr&Mo2669nR!B(b38hKp3~a3cl#?C
z^)b>M?)FISwyeu+y?Q@bA$A&#E2q_E3wOo%z-C9hI@Iu_Nn;iVht+X?M54js=kJ72
zN>_6S0P!G1DF}agI_@CU2X{2vJ`G1Q9@NhWJB8l<ip?>&T9lX5-RlX;v)I9EPN+S4
zd`tBGC37tdsQiTCy+pW*&CrlOKjUJN{c*mzs08xuB#zfr@n8kwTKqP3t>lM<V(+)j
zg}o|WZ?EbkxwS~UY+jg_MAbxp3ijnnC#ZhP36^dmXAc_P*tjPNL8JS9uKh;GDnEcw
zQft>Nw_iGZ%=+5$?~fDz9o~tQO3L7Ewq_R$uUgQiCS*uvGLN>ONz%!1`*D|~^MXcl
zi<{Eq-=f=LD(4Jxlv?N4<~GmHtBcm_y-WZ8J4{tb`#sg)UO|3W$^kJnwN(*(b)R<<
zx_#lhC@M(DyllJ0F%0_nR4IeXIaN3l%(O05ti}_IN`rO(xLIw*8_i1-yqe)59;`&I
zaO45k=0y3y%g0W2(LTKx{l9cKdo<APjto}kX<hVjTlKhOq)Pjn@%l;C3EWT^xy3(}
z@857O;63tb9)82uofydb=1RLrRDmKzJw6Ouc&U-ihU@U5Fz}}0{X#qD7WV|+&UR%X
z`E&k_E`p~X1W~9{4>U!06u?L*5{pD&Wrj5BP4`cgRe4K8DXebWcI8~0v0k1O@6vl^
zf1%OGuUFRj9)8I?%~_0Wa#9FmAx^`M1eu~S`dfb&1gt2e$6t}djc#9wevZ0=Ol))5
z$4!bS0PM-<<}C>)OpOuh@o&FVFA~Rzm_+mF3;wsYW8zyI_($qj&qYcf;#zq<MK%WK
zgVtI8Ly7^m;^uU^IX}bef}Z2o{&_&bGfqUE&VJT=@ybGX#2tNTdTS2{RB;8K{zC^m
zEwg#F8{Yc`tTP<wGVH(!LOshx9Qn46oc$}6)caLHEf&ym|3sa(i_HWx^l&0_;?Pxi
zs27Oq>{oaYO+?W6_NH6O;ZK;-l!VcB@I?DFKj@upMQ);f$MK-Dn?>r9jD6s5^9*UZ
ziI*z@mN@3W)X;XTa}<<1@1_0JCnw$MZZGgk+j?-}9NhE$hcE4N4IZjXMr?{bV57TX
z{#v8M_U=4Ar%(iTww)Gni=g0$q!$rE7V=C=58app&`3<uh$DU5@*Vm5@lJO40NLEv
zXk`kae^RfvrMTYA$L76H-jntu|FI%|Z@|b!T5XD=H-^LX73Xq~DrRBsfId{U<7#h%
zR)#&=vSE#M?uv;jGzI8u<Y(G*j(`njYq`Q!g4Bb{bT69v^Uc-gNS=;~S9r1-_vV+r
zS@PLxYb%rFb&Q4C_pIfbRF@k-L8vEt8QIvyIh3nL51V}FS+l$nG5LVuR!Sv-*I{b4
z?qTJbZ^yLt*qk$3GEpUVY|o=FCN%r6V5|R=>nqB{lo&ol3Fh6<fTk1svy6g#@;?E8
zZsFFez31-fm0+;vy(EEdkAQSd4hSpjGqA7LR>tu+32fN3@Se^xNp!n`J~5T(-5Zm&
zf%xYZvm($P4m-WN&1kZ_Yr10YOP@~p&VH7A$ECR{UBEg2!Ncw*R#wBJJVx2f0Ln3F
z&-d|KEo#kUq}&oo)q2S=6s~4;$S)bl=4Pmj%S{wft6JnIcf4Cc1L;lhw&7oDu2*WM
zHpZ`az}k+ao{ap+QJkyWpFYE7QY^>3ERBV0JS%E6GJgnPySH<@n+)y4VnEsZZ-GJT
ziktSeP)5vigL2E<hvdaC0xElcch`SwP=<f!@F_+dogiF*DK3)Mt}c3PvXQo6CskVd
zLu>sxGeo>HTKe6Pg$Fujc_hiSC`u+k$N7g(WBPj2<^FpeA<24uxL&qDCy|ryZ<KTb
zt&-U#x3k9BnEni3cbRq*&086^=x_eiqCpor1V4ZH4E){v5yF|bLRN;8<I3VtW(SX^
z7MCpQ0DBcLo~WmyGKdL^B&^e%8Q&b}Q51exWdnhRRpPfa0IYL={m*Ob5c4e6djr}A
z!rCADP}pa$HEVp{HGheF<KC6yEAt~sWAR887w@uz8Csz&H-w+p+aIUC4R8Z~p_#Oc
zp@=aUmHU{5s=>l%o~W%XQ{9=Y6{y@}ux_;nE?57GJaPO<e<*VHAK_TaSkm<PxIZ^V
zG>oY70Tg3Eg|2(n7nSL`jF(L0yPi}M8lerpR}jhsR+N7G9T(;E1p`Vs$zG3azC|n!
zRSm&O`r6uk6rRJ{X~TFvp%?l2g0S#eqU8{+-__S@9OSA~Aes_NhA|3m9hPt^@=^ZL
zsEXmjnP}gwFf5^9Z$A8W*RZqseiC0{@#E<`-0S(llSkV@RTihi&=zCNRSWdwL{*Ho
z9DMX%X3m;Du{c)4|6^4^F$l576Z7cF{S(4<$q3rcev<<9_<w?}c4SldL!?)`*P~Jj
z1->ym5W^VB_kyE+@IMBpMR^MKl%s&F=G-PR9>$BFyb~FXllH2Q!)upkHhwa$G(Pg+
zW$FpTE#^BT(o&AOgyA}^LqzOFVtmn;)xo3Bi}PJbQA#=c>)D7=T9adgT!c#~DOu(T
zu!HW>V>xn!`z)17a<}0YzvE<)zN6Kw{tjW>?EVa!Z8hwI2YScV{XiQ!d<WJ0&Zz{E
z+c$r2&*26=PBt>X`;FHnQ5Qlau*6<Uyu8pfwNyF31iRlJ-fJw~+Z18l*MMNXNPlrg
zwoUpQc(NI(iMJo|z5Zj<A+a8Azz0T6>C18qtp`==QLMNG5}-@vORGIQw*CRMp+}!O
z=p)5LkV529OZA~nb<S!IAdsw6&&flcd#G?gW+;}%-y|n&@_obYObO=>xW;U3eHZ@b
zjO%!lT)5ZKXX6JzzNMq4`F^RG1lcg#g00+X#}E0kR%=g#%47(P%OX+_<tbSW%6;**
z?Bg5KUe-nSa30x1^xG<5tG6Eo1tXt~F8W#*vH3v{lpfz{G=!VL-fgv+5KOPlZ2VM8
z|4i|%AqPtZCW@#k`ZZD_b%6A$)H)SCfalMV6}-*kkW6xVT@XSE&TM*!j&#^bce$8W
zp$}HzoBzboVOMDPyMLawIKs14gtqC|9c_xBwS~CFd8})HGObVKxM898Vlko`WH4Ox
z7lKkO!BC-;Qf>Hk(H8+yhqu_Jmp{_8Xb3Blb~9%cbLks&N#8811Rk8Qdt6D+#$2Fy
zPA)2*%7BVlFg4JGe?0oshKIrIp^HOHQy`e#7k--D8fvS@HfHfFvQCaUi0!u%bLg>#
zyyC^PgAEpeVOv}Yu3_X2T`LkB$M1&m2@&~dw8>*hAEt@Usrvo9-?|Hyn`*wBIVRpI
zwhhem`%@EUp#v?evIBk&Qm<dg@<~Fdk;C>Bm1gh^X+J+`4a-fX1s5a{uF-V5C5@$*
zI@KGw(=)5e$Yb#1+2b8;f(OJtJwraD44`&_?k1i(;aKQBy@i2dDYt6<N~;$ZzdqTV
zPP+_(T>BwGtUYTFjB|>{B^?1Rt*L$j3D6@mF2OE7GrV}##3D#`b%R^OR-YF#BkIbT
z;KXzd{Q;F^i`|wj2<h~C_-&@Zjj42L2@_zPbv$MA{`~vsS%&Q!dp7=1nkGRtgZSg8
zCbP(gA8%uVe-Yn)`8G5jmiABLb~vrBn(%ZKT6=;2w+MW35uJlL_oG+e8__7-7pv7(
z0u(?LTwKuc6xi!e%GD>vN$Ist^3Od#(E*imK!1yL*hi(=IdLD%c5D0|AF)I0uQQig
zCn3|i^GXx^yykF#==MW&S_~GosDpsA0i$<u@unJ{qZ>@yWi$9Dx{&kEy+pEI9ySoF
z<kwQ=wBrKMnuXN{Z%8fd5fR+%FUh@w7Oxl1RKwt8`_saVLf<CJ7h}8a=8@RU@ZI6V
zpSvliKc4*E#ZOK#{OJ?bfY=;5@!&?vjXVm{-_rwSS;#2sln#Kp`BOo+J_ZHSZoG`G
z0_oZ+RHXUO!Ez<WA{TW|U&Q=7k5%Pp8Qp%%1OU>OR;)PX1)q+`FMd2FC)f3?Rcb^4
z9niH+v+=eb?O@gv_;T$d`<sDS;>$xut%a5xib7FSYhFo1<x_RWWySHe*@1z4rTmYE
z@P|ChBV-;st9e^L@{04<45Z@Xn?iBezHbd4l#^T#9(e5kuC(D+p(Nzi>%+ovPriVo
zT26>U3FgZCsmQAzZ6h^yaAIj08xK5UR?xg1c;r!nM?T)7x?~E`a36R}P$`_m!TzCK
zcN859$n~quuRrzskM87*O<Uj*#);M_-}OCGN9y2|z?VEH8&>Oi*A!9v$=fo3^<GY@
z#u!XdjF(lc?s#rU|KWP|=CHl_OT<}R?}91%nGST*b#bQqz;!-qGpk7#Wp70<9MoZF
z-|HR6#jd_Eq!mz=k-+HxeocOXf3kna6V2I=tyXLN0H|<1O1xip*^s(da$M;zwWIER
zZ_g3ztveoc8d;T1+7gcuBX%UB{KlLRDjj=qrnz*JJ<x757^W=p?Y;tABYci@lOi7x
z?R-1U%LyZL@r3or22cB9Ny&RT+?#rIGfKo-<=ggY9Ze`82bJw?igG2lGKwepGhp9X
zZyr$My#`2Nz?te&NGbhnU_7}q%>&+sT7A~HzgSAdMp&2)&>s)Rk;L$PD!;lyQ7w39
zTyaVTZBb`y<BA3X^+~&Ous<?sUU!K737qPep4>cCnUK*Piusr>=mlvhW7$;UIAIJk
z%p!{DeH-CP`!H?ik^~(BHVJc4GVZ0_@%=MVNUL*Uc0%r4Tf+xE2{M-u6O4QG)adIi
z^jID}c|GRU@BA_Uo_wAPy<nwwc){S80N*uxh7GF)d^}6JREzO9pY*u!&5Ggs3S`n$
zyS+82g{bmYqP@UXO@aj&I?CJ;GiR-bh~CU%m@$NBNb!w_O;(1Hw|MSVzG^`P-8Q+b
zhUv{nOWqf}B?;N^=eCP0TkGH)1M(XtL6GLJ#%Q6=5YhLGu^{V`!ZDazkreMvQbv^%
zJDm`$n5%5+gy8e*tcUMcH53Pg%KLO$Ta>E#AC2lo4J%_N-WY-#aEZGB5Q2f#GNm?I
z$%aWw7p1-*g)n$F;dQ-?MepLaUo4U`wq{tr#$|ol$|J1-0DABQ4)x@p{uXo6J5Vz=
z#G(d9=m@B-0@(RzA;%d-q6Ra4ZD1$CEZSQssYmTOIHBd1oT$Yqfd?N&;6F1KbqoxY
zwDjqQyoVj9ra^U2#_#FMC_-9|HZ^RvN53rwb<wKnTJ^Zytu8Yf*Dvwb0;8q_<db=|
zxUO?_vB)vCs&#&*4f!y~Iilkrn!y0dl%LV#CfIFq)H~9t<#wBhU(Ts%aa})kEfqfo
zdOFh5Rb>298Uj{ha+h+M^9s=QOydlgi;9sZMQQ7GoF61PqmyY%KL1?c1jdxfV%mS(
z6exhOfk>Fh+z-PJna!LQ-=bM}yQ^Dr{6`mqw(EvX`a73}oW47>y6kVo?Oilqf{51<
zvoIfy4{tt74N-04mAf{rP*3X@@Q&%qy%`3;*7Eb{de*+E7f9^br1QH8y~D-%D$9*o
zRh-e5)%RG@2j4-cAURfo!{)ubyBueMS9TfXsuQObocGT044#KTy$kd){bS^k?i3_9
z++be#xYEVH(a*N~LC4`s<r43U`SpBKi<-c`vdI<Nf<=dNZCfS<CL0;^(67g<2sAy*
z+hCf!042kUDHHl5{~x}^@xq+4qMw&5e9g(;kKglGJtd-~em+8Z8QS~H+%{;{mFxc5
zxl<`;^n?}%QmmExYZo;*-m%G(;+$yvTa`f7q6bT2ySzNSQ-(QJ0NI7hH=CH*cm`T3
zr5|3s!RCHms#2(s-IOi3N7W(Ab_SJ)$N`n~68jFjPk(cuH<B{7+noKp<s`%jC>PSQ
zdL(e*ty`AgNTc4l_KcR+ZMV!d$BXg!)hPgncBTXMIkjg&b*{h!;|q|MKzBRh;O|mt
z%>kHz_@^vOMFKH(CRtnaykpbwC(3)x3^M$-ntXpX69il(GGl9DSalU^0}2S#08kF^
ziZosIo+byy#LRDkPuBkkT*@k#i3)3oY)H~Q3{%QN++D?U_-sIT2jce;Lak+&Qdjqg
za#Ym23XF^-LyZzE3oRLu*e+E<X=#9pTNyy--7W~oWZ7doNW#%%F2s_%l7PRDsC4Oh
zuwOvxW#;+9C$D_<42HdaxyGu~`&Nnfljdz`<JWV>U_tqS;X?|HVgv=v>N6V7uLPms
zGW<;fSF}Uh(5+cen|@}F-fLR%Roa{{6RiU;_YN(HZSw+AFf?Pk-7@b}zA<~zz?E4*
zH#X!(`5z`n9vp;|BKQfIP&C&mP9w8@Q(X8m>l<bmjMBI2xFLB@-~7A?S+yDG$C3s(
zN5bP<6rW@qN|~b5%5K%~*ZJZGQy$(BVK_EJ-OlKBOEB9*JmLqxes|i~43xasQP4@z
zy4t((e+0n%KS^4Ae_l1;(Z?g&74Vb2=k2fi)U7|6fo5JVxE}RP#??4Q=0;wAlVI<h
z$e!*y0QQ!y%;^ZmtJS9zF+mMZ%zm9M#Is`Xld@oLN;v^7S2BRH<3x|}fwnyw%-mBu
z19l84z=oknY^+&>#`%M{4_87TW!mJkRMx<P)wIg4d#JtGI&4$UDA$Iwc%A@F;)>vX
za&^(JrKS@C7N7wki+}KHA&7VQ9t5SIYw-S;-qy#b^GrcV74Iu|6%xl}>ZpGPi+IGq
zf?wU3<IeEK9kN5~p=oDVO^Rc}&y_*Zr&lbJ<EcCzRN=|{YvyxuvopLl(UbdM`+p$j
z-im#oiSlbSG^fA#lC8DUlHsGo*Z-aOWl(v%@G9ul&9_;ZCw5U8pOtI-Xhp%y=I+lD
znA2Z;vRPj`{7ADF1VVkb;D+#|Quv^Ote!d;{ZYr9eNH^2)lVp5BkMUpI|E{=ZOO$P
z#M^uAPm3wn93rEeo+z}b1o4Yo{aK4lH#qzz4$0uzvdn4EX*GoN*}YSle)G~R?eMJb
z@kVE&Acr+|CIx!D;P|gz=2iOX7XFbBnwJ|AnZamMaWy4#j4&%lIk_Q~P7n;t<0|NJ
z2Xz1kc<xp-4&dIjmK4tlYC1{=tqN~9dI_?Dh&vkSF2CpD{(Z2CLUgeQhfG`^;uu>|
zV|&|^)&}aj8a<w07x{mM*a>AQ3S_+^e)D^=uX;W9t2y!)5NB<`??=~H;IUGsa@S5T
zn-YqQ@B{`S1=U$71f7oDVgc7|&l|`3JhXE!=^@~<mL`^l8B1_N3=D)psE*b4ocXX!
zOF7#tM0Hcy_hQ^0;{m`MfW&}fq#Uw;WQJcKyC=@^M+`*c^mIlA=F0Gef_r>xWHW7*
z<mLGgMG4ZmKEFuKZl2HYE5!cc?($4-adElf7U#P^U%#E`@Q};D{)k>2$_LiCH-i-(
ztWaeHv!%D#+zq}!dQG<^s&h;}@y6XvS&T)3g2++AqFp&rPbVh>NBT{gffmr??z_wH
z3Y9f#^oD7#am)|U;|aGvq_!uCqx`3)>r|??ri8vK$?8-%$)~F6F7W^QUX*%<M;vX%
zC2NDS!YKjuWbNOq^QpbdnX9uAcgd$QgkMb2lE7+tt{+b}wgM)M7j!<|6Q6vAR}=N5
z3a{eyaF4tBdx@;~o?ic15zPCR>tWSa%NI#@yTz~0jG$9MA7}cBa{LcV_%GKqhl)jh
zq46UV1B0-|z2_TN0yN1$H>~Kfe<OHjY8Ur3d+g`I->cncf&}l`HOt>#LY56=!f-Ye
z;3ao8wJ@yeGyMhwS^nDzr2=kT9OB86BOmkhP}n?Yy`&GQ<&iqP-P+$&_j<GHKXp5I
zE)?cIqs$j{G6IE6Q)C*=)PvVMzn;~Wj>nqneXRZ`q4B~lx~JmG))CP2TR1ddzfvce
ztv`l;atZC7tcA_+m<4<Wf{VVQI}lxTn~OlIm)V>BZk#|d&wUagEf!Pp6uNymUt1;9
zN;@8THq(OO3p&o&>qb$f(@4t=th#VLDE1!di6~zkLAg}PhhbAVK0Qv=N&|>*3`~uJ
zs?~W>^Bdj!goX=1`b(1N!uaFrdTJ}8tCfVuEI$d~`as3v=Lu5DL7_q$x~hzS6r?Ah
z{>y0ej50*mzyNv}u!o<N&#?=wH(ApvBe$XdW?LHzM(Kyny5R4j)QY|Pu}wt`ujRVk
zwX?wN-x|_VN(b|S$UafrNc;*Vm#D&-Gs{wC4-+e{LQ)&lrCeiCn62whZugw5UKL_9
zTUDJ-DK})5^Lsb_pn+zI+#A`Su;tpOW57h;tTS?BF!5fH4f8yv?1|n?VOGz54I*Hm
z9a1&=oxfjOE=J;B?<v7M?<T!)5BXwcN3ZVgYxN*>7?z{&w+fxS2mxSI>9*xfyRXpJ
z<@~IAf{;~(sRBXFs}GQ2imzS`f+Xn<KK0~1OmX;<&77wGsr4B$LO?S9tLh8)W(#J%
z!L7c8ja&adDrqf{p!#1K7{sb3YO&*EN_>zRWV&aRU!8Z}x(~T6+VVd`=9^?8j!Y1s
zpw!(7=iw(~;?Y{xqGVrP81uWzL7AUD?pLVg@YsJ%8m5>sjEa=WVJjOr*)m0hglj|p
zsn}FoM4d8@=}XNI@i0_RY`Lt>7rlOZqv3Wc;_3s;Y(sQ1zv)WG6tz3MBTcso-nv*5
z_Q~OmciXb<Zo;47_uAkXkySzqZPF~<)j~dL4Hra$BC%2{ZI3nFbMi_sPV{lW3f^&&
zvsxWHk&k$LxV)`Yf@!fzQ{_k+Z&Y%OQR`$Mo8H%c+rF8+rYN54kf~Q2pN8ae;Dr7&
zgo;O}R(<jsQ4XkEc2<Oz_^;z1VXh|qV_nSK0FC94OVJ~~+%VPhzfZI`-g?RM#`I3?
z<*+AC2h}jVCKS~iY#w(ka!qXxXAT3S2s;G(lYa7<*O3ML@5}`;{eBf!Qw<v~^VJ=q
zVFtd-jxFAq&1tUtM11biZU7P4Pi5gJfOFcv%kxu(OutN6qnOgGPQ9+x@5bM?(rdm_
zVPparCO<C5&NUWIYl&Yytu^V@zV%15{vl|JBxfF7Z)j^U3Xt5eH}96(sLyc0!33vF
zrb5V#WEP8e3v8E%<rbu`0v?_7^xsjz`1otUQ-xoH2nYk9{ur2qAN1dugny*z!xHe2
z0If2<uA$v-TVJP3UH3Vu)^kG=@u_K^PoZp|g7gMIyg_1}bL@0uerHh}&5bkjwTgiw
z97_Reequ1jOq>&`#GZIe!*k^)NAGX-Al<8MK>*-f`@1p{ijfY=q8|m;P42$slWa5{
zTw8RACNCka@rU|6<Xx(HImk^ef)tQgPB^e&EPs$P4$24+FRE^qc7365ri;D;^<`V1
z>g!xeyPCN{gvtMd<Z?StQcHUsl#J!fXGtF)D2e$&r~3weF@2BU01RU%11S#M-+%J$
zrgt``W4L|14&6ooT6*N=E(k`#U|za->m6mid-H>bECJAIGJSE^V3BkQN<GQHAC`bh
zR9tKg87rwMDg2fHaB;52hazm_?RI=yN^<8HTiG`En?*WAf3n_{RQv}vI~_K<7D!PU
zR9(KrJEPr>;I({iLo&(j`npX!Kr`)^=1Mnm=QP2&DWe`R*CF7<-<OB1*KWZVhUD-`
zaZNkoc)#x>royGFw9?n2K^xfqM$4~c3M?u8yc1znI;%zXNELLPDu<ZOa7FmOY3IJ+
z`7bt{uN5E;D1hr#4%cFHw7ko*a%-p(BYPLWcPE2Wy&Uo$$fE0~VQ43pSPE>Hi)zyK
z&6XDGFELZIflJWc$5kXn-$LZzU%ur~fbrt(OGDU0bvKg+BLS1d47D^i6>(Oo3(C*8
z?~X0?u<p>&dY52uUL9^;W$Vva&@Lm+laxNHHvcNakiA;nDC_%OHXZfr?A#%(r@!vb
z;a36_)<`(_La{a^bB<Qs3x#-c3uar?QaUGu)xc{ik5PcVKhZ0zF7dF;b%{9eGO-_P
zY1V2P=z38Hq|JRS@x|uv|79N&SGLLr+zmcmHUOHKXR3T|2=#|H3KS7tUpBl$tPs-^
zG9EhrgvUv%-bGD1Vo|P3FtuYjY+`7{rj!%m=l*~ndDH$TcQ{LDWQcc05~4#Q06QaW
zq@v_ewILi3lKz{7>HXD*+xLA1?xo(7;?X?%S-3+vZ5UetN%^dsJ!LxC?;Li_$r|8h
zu8`vM)Lrl>nkHo|l=~m3z9{^-FTq$}91H>0D{}I7$fC!`i5(_Y;u)`A{G|+uJ%C|w
zR~Drr(~!ZU(5F&4K<2$Yw+sm79Wjtb)49dkl|%Z=sX7pY8+qELR+$7LKq<X)JKc|4
zSG6#g(M9Kwc_JyIz&o&nt2))>_#)!nBUMJKnd;uVx80=DgWB!>^DS*j`AA&<g;U*r
zK~5b6Lellr;vq%*9IciG7D|2*EHg;Q3w#ic6SwA}$Ol!#IqxJ?al7}QJ7My>f^|2_
ze#3aVcG4lw2RyRo4#%7|P9qwhp4|YV`LjK&*3w9=bkRGFU^hU`Pugzxuij5#B7LGe
z>+*8Tyacm=*%;5?$VY4|W`;5KPl>tc3R_g$f&Oz?0Soo|yD3h}wl*s3tZM780manc
zXSEEV!{?1c9_;NkFbUU3Q+<gWCh}VusyQpp^uy)w*Z0@$O1zuZyjCehoLV~nv#VXi
zI3H4))bo|M?L22S6mODRKSqBDLm8KLECW1}MO5{aJy_hMSonv%iYe@AS38?6cOtEY
zbDbv@xdtoeWY=!<hkg+1o4?+f{<fv`sE9Gm@VMdD8w;utITQ770**yL2ae63)|>y{
zVL+NEsh+j!Js0EQ@v+!Bk})Q$VBRJ1oV=|eWEnJf$E?a5L{On!MDNVFA$~u|4Y={D
zcmjf0VHJ59{dk{OKMmm#J@+v;Bm9J`J<&|_JoCVer;A>CZwaQq@3scWak-BTm0IjQ
zK8SFML_dn^uojuJ|2OaS228*JHMloA&Oq!I=E081{38kxyGL+#om221iQP5@P()?e
zfP3^|O6P(vU@`5I8D96g^rROII$2z6o*N7~)<hG#%A?0MFwNizx7cS*NOKX&<@XV8
zwS?C*^t}I5#zRm4Y?QTVjXv6xluqUAKP74IFO7H6nvmu(E1Jor=1vtmBa+DLFwOcL
zZ7aKBB2nBVvuKETOFytU?DSO|)P&!ddDGR8Z-GRB;cMdn!+W_=%hZK+e|Nk5tW#@$
zc>`QzF8OJZf0ChXYH8>)9gtE6otiih43?QY+tt#@*@kAkNgNOPs1DFxPEAqb-<?nO
z$p9%2Ahb<S89}aG0E!o^t?YxXH;w1tNnN*Im~}r^M!dG4vYpUNm}BSat+iN;=WHt)
z|C7=MW6o?hs0E?Y(c_Xy`?ieaLI*5WaqUZT><NSV7@`($Ig^o}-_`%40q?F<m-DDz
z)12RjK*oKxh@G;wYC1GOE__$2N~1r#2RyWq!9gY)AJ!b$)i;O}0Y#|C&Ta~qb$L2z
ztG1I7^mZFf!21WhOKiRD!j&UyniTD1oY86)P3Kdtr@%e>i(g;OnxI;rJBrh1uy5n$
z#?f$l2VQ+x`j4H0aAdM*YCp01sDS67{qdn6&9y7t@ZKo!fF02%JwG<IMbx$P@2%Pn
z>#|0YL`Dj2s$h^L-G+bDX(8YPF@5r}+HGcG)_JFO$3fK@liyE3+@Iba6brsF%uotI
zDfu1-{8XOXR)`wUkA;>^)s{K@t|{E7A0~W6;R?vsb_B0`;tuo6`6eDO`qNK*8ycr9
zVixMWqkW@?Zcd+nTiV>j)+vY{7vPyjFEfk|Oz%}q_ff*+W{*dq7RNmqf6IgS>&`6l
zhW<l(6|K6l4oUcm9uHX;<yzJR`kQ8l;!o~P8=k<7PC;q_>UjDKjY}!paYGZ6(3NXk
zb9fw%?Sum5@jO+rGuYC*Ti#T=-1Mh9c0mBpqff8`9@wfPqT<gq>EBHsNIQUjk{pTy
z!+R?BSpiHC4o<nR1GB0Hqbwv8nmL5*o_`SU4p0Kri$Qc3-Z>WMKmHV8jvVU8#7hCH
zwz_YasJ(YSHuGd%lblHC%e}Qy^!RSq3Uld^l@SN2-q%GP3x<)kR&9O|x=N=}Iq}%!
z{Xrh$$Pq|Mph5tpvpGEjXWAP6%W%&a58-!=i_7X6KvLP6KkKY4h$Hjpx41}d#7E2{
zNdF6am_0ai`INIG9R;YyTpj{o`WZ&8_EWhDyNS&C?y~{{f(XrW#HDR@oq0wO;7kph
z{SPbG@?Kdq8DX{Da~F+F#D3DG!~qRlUh{By*lp&|e!ar@%SZirp-8sp8@adriQ)X6
zWjv8mgrf9>y3-!Fx{{fT#@*U@-v%=zi$Zy|o*Uo?$<XvR4e@P=4=}U@X=2u*L-7p+
zHHRK==7SFV6$$|dQC0mHL*YeEkEk>Jg6+X-e#18_*{jc6#y^k03=DUoN@ZaGE(!U3
z1F5O}xxaL{4(9!l&~u`UpVXxc?r`I1Iz@}FvX;lLx`(D#rFJJ+|KbnnW~p-FwEx<E
zlV19ppd$uY1Ko$~ENc7$M*T_2lN@VkB>zwv!Rf`<Zui}%BwH6M#SDhrI*fTjnXaFd
zVp*gn#nX0U-%+4+x_+cw&G!AS`^Q(V!G^+GY_d0Ts_L+y?_Xx_tz^H{IHBR9obmB!
zMZ<{FENjiR_}u$UaGieY(_`u!NMq0xow5XDgwY3C7f0i=4|RaE9;qaa9$y&N-!Rjw
zqk2u`b@#EY))NvC_*i7TR?3FN!mq_%sCDo|7~!C_La8Y?=Vuub2c!LY)WEcVc6vhh
z2p`T1grzM}W(9pOxZw1&60H{rfclJIuj)gO;aLQaZ04v7dfOkh0QmkZy+tur)81R=
zMDOmbz^Hjhf~PepFz{OqtCwekhUOwFJ2cwt3C`_z?Drb7YR>H+ZSreFA4hIl0B581
zS0t>r&RFmfQYrOKa?(KKzt3?3fip=o;Xm|UiF7~v6BCLrY~vl9);{&Yehyqpf3o&M
z$Er+87i23!*c<u7&EBmF4XY6Ur%|k@pIPH@gCm(C`99ihUjfbC28+)YAlzAtb$<BK
zpD{*^6XNtEQ4*4jQ4A=?@Rsi-U~_s24GqT9t6{w#9t+r`u=~g~lH*8`9kw1qwkvb}
zNAYX(R=|YVknXcR>b&E9o$ZM6A%BV#8EZJb(<GBw(*a1iRnnZGF45KS3&SlyoR|pj
z+-SH{O?+SSY?=A~`RV1E+qr8Gh~}Ov5<AD&IZK+25DHNW0e5Zhc8#pGaYM%+^Y9PN
ziCG&$A8IO2%a9d!ekQLq)NOD8w1@jKeDe{FR0FkF(P<&ez;cfkEMH@fcNZYJE*(o5
zT_3lW`x4sKyrl|&o(xHxOYd%u@4xrSn6D5ks#tGb;g3(3;QDS**n~J?`?NTuLFRCZ
zp^h@(XA*~-tIQguo#8~R_wVAFct@zZay06q`<mL6F+TUa7Ta?qHR%gzUFnE3T?gwi
z^`;Nn-ru4?X)e`VHdXqt+^Sj}I!`Y+mqexQ{3;p`lBMf-YDtA7wVjpH`8g51<as$2
zbutw+&vV4_DWZsRJjCuvTIVij^FE@Tls!;(&p)=&<qjDjB7UZy0Nj+vIsfmbMEBlP
z#SGo1TrlT>!XO9#Ig_Q&S3B6^X6i|0jm9aR2=iu(Ur~AVaZFqWSn0oh*()pXro@{h
zc&$n<c7y}!vuh)&j2^cpd66are(mVVA)QIdl%I(n?>`Mo-Md@F7)SoXMdgWB083x*
z8K6<*lA5sI#Mf;r;gu=o-mB6#R>t>ZnJYOygSYaQb<VF7zqO<>r+)GkP<-&&p2G5a
zN+(uqGjw0CiY^L0(KLHcesD4vPtzf>5z_a}ReCKH$6|59WFAvE*1%)N_NwGKe1YM5
z{oLU;LCiYW+)$tp{Wr}e#WA+`JgKVh!ym8*x7*Qn(dImH4|&O{L{{7NwTR=pu*G2+
z`x?PIQt9A&CzC###*>gk^%9nMl(VmF$OWjpc3)<jNCKQHP8Z$vj(Wh)sI}6EopMe0
zEN3l)bM+lyJd*~>V6Yqe_th{!ub!%r75n|-vUS{%O!y+ct2LRQNQg^(MjkKA3sq#~
zm5Zhsj<G^HS#{Z8(;FD<Op=U?NAx&+oqTCRK)~>wC#qb!l=jJ~I;~u@R;$N!bnT4#
zjtDeGu=2f+kmG)?VdW4htYG_%UPn({-HT1>dF*SQ@aCPU)5ZBc$?%Uq!ZVE7d47#s
zCqrM1EE)iItx)Df)lgN*>Y99>lf1EM=$m28;d;+X49%lgmmPL&EL}O5%=up2dx2{%
zP{>s-C*d`agglsg5_$hzA_gqr+VjSOXIcOpF%IGGFuAxLuZ)R_T&%qR3eQ0k8_NM9
zDc@IKt4dNyfx%ZUEDitpgp{^>9A<qrDHVF7oKo@oGQ(XmMEYv{8Dc(Ia{J$7H>4R{
zXR!bA$Nnw)j24Z+9VFw@E(vdI#8GKx@1Id;9+5i|a7<0{_YfMPj8@;r7vuC~NjlXq
z!u}7mK8o8_!Bugd-{l0FVh8Fc4uAEFgnr2wDzCSVLg1(y(4EO!s@B`vg=6A(fGZ+F
z^Z1?Ec%=26|9A<4{SLwuqcYrO58z2Ew}<T*OK4s18mujZT}(t$-gFheE6k*}()*fL
z>b{(*3W!$tx^@9cC*b{Ps^tBzo2b{ORd7h87E07&jc;KQrwD7XV>F7Dm$k}3k3W`^
zO6$yj&{zByK%`wlB(vT30YGgnj!{&RL1c+rB((^~1}WjS?|TMAAAhhjG`iA}VRf#O
z%AGlXn_cp;lqt+;(r^o~Sj0J}O!iO*_&sHp9_*-j2$YnaABW|L=!&uF0}CJns>4|7
zGqsxVe{nilmP}t@0XE{d(nt5=?A5>u0Veo5?V_0)p8CA5sRh2VX}<&U#!|)^MAo~9
zPStt{zB?OYP4PN%!~LzZNL^o@_~VbSAgCv_u?JT&Ywq{KC<<L!FF?c`9A!r2rMgd{
z`ci%Y?|Z!?)wD=0%^zlZ-?I5ejNtDH`>L5`hgLBL$A3G8{C$k~(wlo3=VKK3f{9(s
zv8JbNdZ+u)Rr_)_q5$2YSv0QCaZmSEleVs>B1R|K+Zp4NluK_Ba56z3)*CAP(~<%Z
z8x6f%$ouK5=k#l0S*?HS{l?cUWIC7K3zI+9VRYdiMBW3lo*hEyLIbnAQ+eGzQj;w1
zye$H9ysY6C@!g!SnXc>)W;^oxmUOC2-ybC670p}vn%GZ*RqS<(G+<9?hIXUY({9l#
zd1etkC}H#q+TV~!uf}kH3JG$r%4LB1IYF|S14}B#4vM~LzV_#c%FS+`FIsu*{Fw$a
zAsTn8PFb^vcTl3)4?)c#mAr3$doqdmE>><@k3+{lgk|rbKg#OcngK(Vhy?=2ytVX%
zsis*gh+xH)9Ca|yR$CCp*z_aYJRG)Cw7-5$7b8FDtl@f|ryfvp3^-f~2+l6eBjj48
z2AP<mnE_9Djdi*iqEz^^b!gLz!&IconJUHyn2#^~XYJ*le8T3;8^Zrxr1FgEFB^j)
zs9UtLRV16q{tftzZ*7N&+(nS9bA0DbZxn;-{#M1laU2C|t~{@pD=5gCjO&l9IKloT
zXAZ0X$friFFAMnfIaOy##aF4(dRbPbU)s_)9;WATqb{Fn$%>*j0rPqCQ)sj7?$<R2
z7<wacibpr?3kAxjIOWAM!zzg^-ti^LTT1_0nAfc?G6kJL?z7piVy9)?3!k-SkkSD|
z7Qj1~Pt)hHn?m&Zp5WcB&x)sx#i)V%IW}3Wx(+*zLLEiR5_UlR0DvM#ob5fJ=O%h~
zHO)2#yLrqF*{SUBSg%(aP<(0Dt%Vn%2CP0R_@qNe3@^fEa&Q%=h+12LDe!g&E!ME(
z(Gi+HEAKiL-(_?+RLd#nGTf%Gc_H~-O9n!7xWNJle@7ZV5BwL4CvBkkBhMO$pcC(z
zbNKQ_)XM?zpDw#<WllRrdd;ArloJ2{Sl`fPMRT2$k2TDMDb+5rKd2#2rg=-&H3^Ob
z%N&Hh)92a^ze+`;ohSfD%+=*fy19P}20$8c;nifhWB?<9YhnTQ;YwXCj4*sN7RYVl
z$c<CpJf%UasTYj{$d;u}7m6g+wC*nEz2+nb<Z6~Gblz~wjO$4^P5sU|pmM=J`=Wjd
zpyb8HNd7A7t|bT;^j<FD$y<6el<)wcu_lF`w&j(^oSPqN<Lk`e$jbKOn#-DMAU6P3
zQm=lbHWj~NQSh{Hf=Mi94;rZZeMDBAP8?%yk?S@@f%3G<bRO|!SU=9Q{<ytX%M9!y
z%D7l_7a&KaRrmiE1F%=uSAN`(`u%khK4Q?5_Bod_X$75qdad~whn*qhPF3;MKd*7Z
z7pOEhVhPb`{jF=x%H@}7rUBxd5&;`{<))Kip0fy}jED)#7O+vqOWesjK!KnmJ(0@8
z-{0vsH>PE))ddXLUXnRu4RnR(xW0=yN(YouFjA@D^Bpdzzw0RfW34_k;zpaa@b5&q
z22EBcCVH$Y<DKzCq;=z+{QJo{6b8W0I`o~DG+;1ZL3``@WG6ki{Uo#2D-KcGkR*(1
z${BK`+bng%z#1iAe@x={m7R{r_${0Fz}fma?Qh4-YQ2VAKuVD@aa5kL>rla>hyFnt
z>7j4JmWGb@kD1CRU8M<Pk6VB_c|m}n^B!ZY8aya%oFs<Rth=B+7l_+JTQ(V0do=FE
z)Z<K-@nUW{w*4$SzQQ|&b%?+oM@YV6qp%eM+HLdDsyh821sOp|iSSB06chD)BE=j&
zut8(kwRBPTlH%q(zn7oQT(3H-Qs33bw!sYm6lozSKEtk7bSfuG`N<2ld%wl9ce8(K
zuz@an;e74f{qu!PHiTX);@9i+R13|PH!n4xdqb+9q8^Moo4Y<LF4lbaVL2?MX^0ty
zCgh;CV_HD}tMoy7m0+3|W657>u6+{$wfkF_fyteMIs0TlwFekQRrm9jDqj05T~ynu
z0h<%(|CoC3K&s#W|DQ^OP}$^okv+3V2O)cJj+GgXJ&!Fj^VnNt?|qP&d929Zgph2q
z*Z1oE`Tg<xum7s&^E%h_y6%tr{dP}J(jWU4yjqPepX&BVmpa&Bsh{`srMUgM;jEPY
z4BNA`myGt8c+JA7O56sN5Sy45{6@cJMXEDIdhbUyf}oLJIlx!-gVg(ryS*gW==2kL
z4jDm4$l&wx$#px<IhV!P;=$;FZ&z>bot{w%bBCvzDYw2^YYw-VBFs6-&o`;i55!g^
zGI6hc_mOu-GUV61@#IS}WXCRbWv3rSS!Cvgrz$hFkKkTB+Ega^sUoC*+q}OJ{fh0i
zW(tmk@0Vaht}insUS`XT47}k~%))9NAP)HhbIv30QJ8DtEW3X1Ho2FJ1(`dPGgL#o
zBfVnALXMz*)y+WNq}ia<^)*uZZmYoscL2L?28<z~_%%5!MV^xEo*?t`Y58p1fRv<f
zEtZd$P}1rRl5Q)_Xy@$-BT2wbQH?UYY_Rm;)j*F=>1Gj8<-|#>H#tQJ%BxD>e)ZrQ
zoF%5wAIZvlyz1_!zwn@Gcb#C|7~LE#UR8wz{u)70zboa%_}^RJ7xp6gOj(t`aCmMr
zF^%h^u5l|OHjw$x>*IYr#V}`BIZk+h3dl;Zm~EdMIX-98wnLlGOC45gXEL<WmlEFC
zxXc<C`Cm48fb3Iaf#Kik`9o!QsMVFT@%?_!kCRjxG3Wp@D$V@B0H_6iI;<QuQmwbb
z6_xZyfPG-C#bEU7?-fqp6l`RdKEh=+a|C*S-($}X1BPSEpDpOoUKaN5yv*G8S)%Al
zP}Hj9TGgnvVmMmt#QnkCw9p{RVtIq^P{)-M4*5EHnXqIbtkvgY+er;8-|aLfuZtL4
zobURM!@)o_RQ9IBx9a$991i{wt>me1pBp*5sVwSru2_kVKs=170D~sL{3TQ*;9TnK
zbF=A2qrRTE7XqO*V;734_v5ca(tcb3O5nFjqqgs;#c$>2X>MlVZ@5<ST*St3dnzxr
z{f_scH4)ieu=HB(6QL&w3?x8lb;Ntf_C7?z(auz!`O7EAe1a@=O<vq7w@9WA5B=@b
z`_~@VR&^TM@|a&<JA7?hhi~)+s2<RA^ed^oT@SnNjm<z1tH%E5A0OlZp997kmc55o
zsE1%k8iBaDpm+tRL%~r=lStceX)E=8ATrx{34<tmXqKaj2!n6u5+8Eoa3wh_;+T#@
z#lw(H>$$=Hu}MbE{^Z?R7uwb@1Xg}EOS~7P{X^r2;wMx%w7u}V*6d{$$YYx;uD;WR
zW$9!+DsT;fH%2z2*9uhGp-o~_EQL+rYU<t?ss0SEF`_v;7G;B!>2ow&Qi1M~z3+L2
z0pwzhYp<_!E>A6X`Tp<4kn50tC$@N3rQkjh?Jr&G`k?K3TeMhRQi*N+vN%0cxQ8!v
zzift%bTIglN2dt=;Lw{>#6<KYo9mbyg9y_1p;B5*uxj)RF}J9zo=fB01I8?)*&mBd
z+`k)sqDX&Yu1{4++&Y`GLy(5?h7I@pDeK1DR1%4hhuFzqj@7IhLm#N<y%!hzshC=j
zSC!6c@eY2JeE}U#{9Zn#q;gmiZwB`eGh?Hjb6k)-w6qO&fk(L<BWQo&Cg!RIoaSEA
zdejAO7J6d=b5+6WTY28_0+24pyb6%e=`o#{LBYn`iRxHXTPtwcp_g4OHutK|D)GW|
z7)^%BdP(Z&Ja$j#E4oH_Co3JuL<O)ERa3P8_prSwXD%|Yju20OxQh2}6TnxhQ)E}}
zb1Wh8+y2_je@%;L%mzDue1kAGAMV%5xlCE%x21aF=-bf2882wXJ559a5%Ll~%Igly
zyQ~`IKpg=4h09-&n~h3CC%#*><{M1Qkr}!#h+mzrY9GqV;<xA~yA2gN;3scIeL<C3
z=+>}CYii1c<E<!Kl7!HZKyaKI6#&P8X0qvtrY0`FFjb{=xV&g_wU*^i7nV;Kx<d$6
zh`*MgpsnI(vw;XisdT;(_nl-``LVxX`Qn_CTu+KB1#glOQu^N;=(IFwLa+WgeB5Zy
z1CZ*^28b?zX(5R5Hg10-+re7)%@QY4YnAbyMSv$X4OVVIi1fF(-Ve&^6u4L^pGX&|
z0V3Lmzn!L!aNKk;GnE+>A$dm@1`KYrQbj?hhA1idh55xAox=!ARMO|xn#z1lkXGmJ
z?P=dl5Z3q>eSG{1?_3>Pf2AGT(a%4G?=)!C&R=<56fFtHlTgUwGcom(0;{%f;pq2$
zJ;@qe#%bGhgnrYqDGp?_r@ec=-o0c5jV5Ts{4}NnlbsKr@6}5Dd3rkjJq*COI_*92
zCq&i`qJ9|b+L0a)-$qg~$)?cOzKq36>R;nD$4maQ?RA9^;hR!0?k{)|BB@*+W=_qx
zq6N3W6(_lMLQ(%(UBphpj0~;HY%0-S;X2xj)udFn;=x_+epWu^X3U7CUV;ilo6b0p
z-JHNmv>dSG$Q7s`PmO%T_kB1VH?o>W5g23LYIxKU%aE#0m;0a9VqXEgvlO^-Kj=Jr
z&(1gaW)tvVHA@YQJ1Wty7V(t`3|Pc3=tBq3EzNi7jvO0xSzO{)&su5=R0rq}TWWcz
zplLR^Y3Nr(XY>(!J;lbVh^Or<Rb#THsL8d_90!-<x)XKMWCAgyT(C5(TQRXyR5YvJ
z=c)g5!1#$xgpKFjdpd6ofD1$~{}MXf9Lq3nOs)IACqb+fthQS$3tdmjpQigNS)>vn
z+ZYR4vnJhcCygDBaF6e!*as`eIih8(H?2awmMj5&O)CBAB7x#$nMhQ`rH4wDopoP&
zw{OH>U+>NGPv6R)jRfShd1%?zDHs?jf94xY6+Kw3z2CkEGcAkxcyAZ-r`LNph2yMr
za_$*-pNsmTfN%nDdDNrU?`bhUnm3Q#o5Y}6219AmMR6s#D}qy#T5xd2DjE2r*{Hz$
z#XrOmK5vk}#6^e%=H#Sya6Ae*LGX|$wRAo=6S4~C19}A`q>BicwW3&s%hMI)f;}&4
z^Zx2>Ph%c`SR;0OUN$+`NL-Q>{Dz1~+UAA(&0hT*x<MgMv$ezDg^8%-zR&J<*qcgF
zUHWjc>&^7fA!i28#2D{cmD}D1Y9cbgVcD(!H`gy)^7;eD<um`0&b2t764zX-q6<s(
zZ29Dz^0}(voJwp2es>byi_iQ|HxEvhTb};A45Q9yzzAAKOj$mx$+)UsXTWN`RY9k&
zt70-OV0?#o24JGvP9)|=c<bC;Qi~K0wBLj*h8)*g_N+r6h%rL+IySXWq|Re1i(-Xs
z%0<H7<q{b(E!+OuM9dQMthdPalV&tHl42ax9P_2Lv4?&=*Mt>HFhQcCerER_ZxLD9
z$&HNi8&u<dsL-Rt%Cd`-W6TN6r`Vm+AXGX7_o!1j)Skwn<q=}SkR?&&-_f4FP2{)j
z)C1c;AiQiP+z~Eqfy+gkUv;8(__$8l$?EmCn_fajZ_|6-pb|@bn<t&&ijKV#)|u5D
zP#B4VuPhyb$#Yl*Z%^m!h*@{#NH%4H^)8=-C*7upD!e4ehk6*q&>sI+T0Vtqez;}y
z6=NQKjOZG#PxB3}2rH1D!6MoP=5hcJdYl`>P^IxnmX2^fOuTo~?#&{;FUjYw+0&%?
zMnGY+Xuikr+w;sBvJ<13V{%W;p2MFqMc3|lAsmN+<fJnfeN3H>*Y+u{SpG~n+rWM5
zmnI7Xu{lzD%{dVbsd?vchWOhiB1>7X5C2(2$Sz^Cn|<)uQqIcL_fuzX9<Vo?D%mYR
z^v7!D^~noV$tbD<X7Udu>KN(Q9(~jL<)be~B<#ps&?@x;%e7+Hxi_uaRe~djJ<KAG
z%}M&7pRS-Nc$Jqq>2D1xcy0Kf;UdxJ(EU#uod@#?Xl-)QT|OqVz<(J?@0DrxUOGLr
zf>8rA<mQ>wA!7sV5glMPICJPxXa3mL_+>}gOZfug0`$j`T3@CDt4x~{L?o+zFa0Dr
zhN1V~!yVFT?C4}W3iws4*gN9%A1@PxA(ZE!OfH1K?J%nGd^N)H_F{7_vC^Ba?e?Vd
z?5Zl|(|=gX<;CIk)lcvx<r(_$`}c*pOw$fNrB^>{#?Y|Qty5ipOf~Qf3!_<U+lCp_
z)2=VDR6k=UZ{}?TimtzTNZA-|UsFRV&ufpBLTYJ1d}-JBrrMDmI-nEid0IiyNn+^!
z1VnIax3+^7)QapDv1`FaS9(64ru0k!pk1ooPoKu0g4^Mn9ba3_pjB0&yIwOv5$u?Z
z{F8}jMt4R@#~!tm=Hq_BmP>W_)pDc8hPAU#X^Aj(1wIBSFpWId#9di=IAb5wSj@n3
zVxd<ZTVdYRPy@(gza8PIiYt}K@y2=$+xpC|pnEpqKVq^b5?M}?7<*k`u->n0fQ_Jw
zP+aiZCvWfE<_=;u36F$rjs_#EO+@g_ydSh_*lh3_A6&ImA06stefzKvEo+y$OIEqt
z_V}>6+g^3wf6Cgb;iDzE(QSG#sLN2S;c$+uaJBX2$Isa1_Qq{?`{Hm<$WegU!%%)_
zlx=XG>SO9YrJjBvf2+`Y7Jc{M$o;#>9!B@Fm7;SEJ{XajA*DSGfq~{6Z6rjMb(@G&
zWwdWe>S9JcT!X)&#Q*zFef&|wk|&E@<I2MYkIhU(2acgXXnmVZNlonlG*Tt+>ouzV
zvlY(gDt)xUa(`m>_KlOhDTtiXkG<M&oxOivJ?cK|W|zYcSE!3OZFtP<T@b*L!NPaH
zCWld+?$_VhkS8_NMGiEjyPo+7)}{hjD2L5Jd$K&;Wrf{Agwb>08udoyPz<Q~Nn*|p
z_@@w*tDjb`5TDaZOcyPO?Nuo@4rMb#0_$45R{nbU9TrMsVw^z?exD2HY$QN};uYzj
z=*`zs7hEpOgFWJ<Tm}|OYJbOGi}lo*GwJ7<ISa#zd0QDS?IQYdyS~a)?zYqkYHVer
zhOg63%cmR}p<}fQZTu~)5a2l?99F=Rzu6z8O`IY2T@@by@l$z^KP1)^HV>Yf3PA18
zM|xH+I8}#I_y~751Rd>A4<o$>Dkg>S);j*9nb)*|oD}+!7%*UdPEEw)&#~My<RgOU
z9+D>5F+-v*oLZoez@U^SYA-=pM2f^$!c(wcN=kpz!RLoDD{VV#@t4-v{kSVEcoZdd
zf8S@{>kA{c$Z_h(Pw+>orJFtXwdK2;<!YZRH}9YKslKgrg<kojD1_1yO0xFJXs)iW
zOg^b$#=)?=oaH>+H@v(sKl!*&lIO8e@kB3+sU4hD?|-}V?a)0p8kv9fqIu4*(zz$M
zCHs_nbQiFj!LbPT4^^qV!Z~~!-OYPdfQiAe&^~;&PfATR92^6tvHm`)@(%_D>eMc6
zeQ@Tih0O@KUhpHO|0`Op_6kPl<Bcsh<IXxL5OaUFxbW3G%Z#}R4Dq2g8~0!_i(3`>
z0ykt|82_s0#Ps*-$!1Nobd69RfuHo7A{m`x>1pfC+IpDwYOVv<i-!Ep+|bqMF?+^a
zpUH#X*EIh8wNCd+gFVv|8lE@tJ{V09m&3?z%+?=7Qz74syU>J;iu9#Hay*E7v~x&`
zH*39?IkK>|?an2_?`JM_2nZ~jS-=OA;Z;Lt-14O}_azSrk<^R<I0(vS+Rf7Dc&OEP
zISM2y{N$)uM&9{+Pc=XxBJLkSe>K|SPHew!M~DQ|+O?i&K@YnL8c*lo)$aR-hbLdY
zP`7L;+Kaauq5(d20{zM?rxOMx-_2Ql{#umLoQRmH$aBRj23V{1Qy70L1Nr42vW!xX
z`sOE(U^`-)(a`1evOcS@zU9N-=cm_(4|Wk_c^&qDsw~&Gfx>~Bge511YC_#&XcyqV
zcY@7_o71~pcV}e=ZGNF{8DPT$<ZHKZ>Xq4F+3yc_4;j@IeLSIabuej^Iyqg)>S+D}
zsWEouc(0U>e1PHG4%0P}&$ts(R2J6{A`cm}II)p-%snL<&k9$CirdY5UeR?mhYliG
zo&wFwnqSy`?bEsYMEr+YWVL#*{5<?m)_g!HO;fVju3EVd;j`UV>Ref4L!9#`$zcm?
zqtyBv0K#%*qp{48k5Mc@bhIEOy}D#=d*X$qb2!7)?gHGGz2gllrR|QX_UrFSm&cW$
z5KLJ_wo!w|%t#@D!P%^l;!f(6IO2BgcI_M_9agtN$ld;Kto3}sU<C_yV~3)5ZE}?u
zK$6rORm|~zB-uIPm?71Odt$mI^Z8d9qR!!Jx8XiUMa$7Z{r>3mUgKKyX9&SKWm&}5
zC`3tsPqzGVD|RyG4`O!iH03o9uR_&<g1m(JpIF>r^1?6T(S>#H$MJ?@`k~5zE;ZIu
zw)&eA%<xPQsb=hUIlA;$^(TGMW6GY{4Xl(;UCQXF!qNFZ!lmz+5^seeflL)4v~;{=
z`_n#*1D=Y*QYXee0{EFm5xVI#VW*JZt5DqZKg41I=<5fXjnpiV(3;&6T^1)CE`zmS
z>h-L;;^)?=Q(e+z^cgojZdRp9w<P<hwE^6<%z@Kz+`ARszZTm|tX}Hc)%??%5fbIq
zH*B9;EsgN_N~`!Na~{!}tRA~AY;+}Pcs850x<Vko3I~W!EAL2k>Ji(|+ycSU=}`lu
zL5jFEK#piRw3@$H{16z1pSX+0&4riw7FCIA4qU!qe@#9zCmdEfk|AE3zdF)({OSA>
zG;)MfQ9+~dz4!eG?VHE<wYC$w=CY@ZN4?6$bC^f1DL=+gKfcLY@o+f!DTeV4)U(aC
z@$>Qq18%THC?1xtf#m2dy8Dq}BhbLbn+5~JUOrG6pzk?(i~lX>FUl?!RmZTY{^am;
z-KSz+*hi#9oxAz<4X$Yq56C1yXVP`DvB;PPYx;vK&)8)kkz#jB%-v5n;|jcBzLcgW
z<BwfMw8?wLKk!DANfw`sZ|xHlPYL>EePp!eje=_{71w!1*$kxo6>0^!-)_H!!daR~
zqOrE<U}AP$;jeG9WXa3RnCSR6HMGKnDC5fxcK<eR`Ihscj&FgdYr);6W5T*s&HmI|
zZMD~CmJ#ZCbK_gVz^_FcfhDJ9P$Yz;mNJ&RypW>|H>s<{H^)8s6*q{W)x&J0^x}*s
zWLEjw>bZZZmN)HcsD?2Re5bS|p(V%^4(zYXXS6r1lOde+<X^Og{Tj+(1zE8~o;SD6
zt4dmGP$3^Jmblf{_>p+x(Ws=G^Mg-@4&FdJ{7^AI@lNZmPBQs0ds^i~=pwX)nh0;z
zsfBB*I(yV6%%gGK`(xPWGSahaQEv16_N?XV;n9esZ7sZ{mE%1sAgFtd%m&+wxV!)!
zkScw6c7h_n+Y)Vk=xlZC+VsxTGoz)exW4649=L2dC5;lNf5J*}x9e`O8N59GX(YV!
zV?N#PiYSkn{hls!VpU@!>A5Q!t&P<EZEbAA_~<<Z<F)R9iBpaHW)YTT3)L>Ey&->q
zY<gWIBh&AJl#&Woa%PKe$H*;_NI4<0^V;mOj=zZN4_Rwfd;Pl8(pmcS>)WmT8B_G+
zs3h`p9a*L(+nb^-cLw@MKl>Ec?MkFdmgLcs-L#jxhrF{ay(g58bhdtN)=^11Q2S+p
zkmppk6?CmL$=@lmbTyaD76f!_e6kKzZw%#WUy5#u-i>6fE#*d#_7@)NX=jD?_s4Bk
zgSH7Xak1Kb8qFaSCt41AR*Hg9&aI#Bb8xBfIS(0&@n}CkO_EI;hx4a_Rd!-}@A&^-
ztu`SSqhB3c_+=|_hRSC3{%w6POLA;;ba+NFt$uJw@Otkm*5u*%C7jow;`@-JExq<Y
zVYOWy#(QGk%Zoa`Nph+I)4<!S#DZglG<LqLx<pC_s}N+(f%^WC)#lF5F2VT_1$&n*
zC|2NYuVNYduk6XqzIObRyuTl&WSGWBc?G^0X_wrR#d>Wtg)Ir!X6RHJebBsknP2BD
zz?a|*ZOakaGe7G65HFH5VvLjNV+j9P{k$Bd>-cqq@CF)*{PpG%YPFZhQYSi{T#8$*
zT2K3(0+Py40wH0Jn#mY{Zh-Z92qh}2=IQvMdwp(~A=i_|K`o1WSY~(U4PO+lLeX+|
z?yov{(Wn}yh@p5Vdh_!{W%=lr_s6DbxynDTS@MMolVJ=P7<#W#*2;M4F>PM<uk?9i
zF>Eu}+mm-Xb*Z?7-azAhAfmnKzs$PgoUMNH?NA2K#$f~8NMdfpYMpA#Qj1-;>t`}v
zaL;p#n4Ohuba8&|^B;@wT1buT(9i=8#!z#|{OHtFNgh1_X|H6{ew`bFuXiXR&LQx5
ztd%%HOa6M%+93UWm`&@RA8|wzSCMY<$&Rze-=3o<KA~*I-=@8$wd>k5hd&wt7=xAC
ze;TNEb=A5j-;32Fve`#1B(G90)*Z5X4%O!*IPyz`Tj{+d<?gbhN7(0YeF_JAO-gI(
z0z7BuThc1FQ^$MZkm<?@jZ&*C5fss`Pm)1JpjVavF2;FOp>5Bn)jMx6Is=H8wI8t_
zv?Z=QCvaECwn($@g0J(E887c|P3X@a?x#(npG=Tb8bu_U@1l}Q=is^#(HIBaqaJ4D
zhlk$KoaG2Cs?D|vBjt#7hqIe7-J7;YF;kVBrnSSH8^5g9HgTGC?hg9thK5*IANVNS
zVqTuOdG=p4$`~}XsPsO~U|=pWt2Y$KNtdn_I1a!S5N`f;{>Io+3uS7kQ?fddQ6HPj
zqep2F$Yy{g)S%HbG(@xU*F>U}d`IvHu2xc=mvO#Dq-G&W-J!g#z_J(57ZK{He1^Zy
zv7LXsec#DSX5l2T3{QXClDvUVym@)wmFVY=_m%L?d2!A8nJJpM`wahOD%>lzF=ISZ
z#1FuSZv@-&M7v7av*4n#zen20Zf4z8?ymoFInZ3aWV3dgeTN=KZFRLK`gK{;x?l&}
zTF4S8&$?Qh+vsu-dOir}-P_4v{0UZ-sK+l_w}dePz7LV+(#Vm}BMJQ<o8c!S!s*(7
z&y0%G(APC>f*J-DN2nM6W#$rJ3@hGS6dVVTF3uZvw;kv(TZI!dXs(Toy^xZUvT5H8
zDY?g4TM0YvWAib+a8Vvn&R+^DNxN}8+A^C)epGu&;!+uGGlo!(ORk*I179j7)ZXMK
zW2d=RBoKA?730%EPWMN3#e|;tSH28xBaWjRgBa-3E^lIUCNmT8fub>Qu)e$C(0DpB
z9+Y!_`ShJbn9FY5*{00Y?UE9+lvC!oSIqvB4mH7V{imCCoon9t?B2#0-|K|fH+dL5
znuI9Ffh%qA8kRu7nrR3xCg1zK735hPtRY@~;?C7+-ZCN@l{IPce|wO)kTICydzQ<6
zKcFC=Otdf5uFEpY@sc@0WUx*Duql?&xm5x&xqbbCwaWy4tdQE`ip<io32}vyB%6|2
zcnoYO$$I01J@v!2vW#=3O_`uSjn|91>0XWc++bdC<K9Dw{k-VwLaj??W9B2#yds~<
z(c6|-e&c8ktuH0tKpMz#Gv3*@k|5bR%{^5*7F=ys_AeIUL7`<LMk#un0p_cSmeNFp
zPDZ&&a^~yCGL=$Sda@ngJVDP6r^R6zkzwz>z*>0Cr*x|H9_@Y6Xy8qLsrP!KOMa4G
z>bL_3$@4*p;fmWxN#3{R=xW+Tq@pJ=0KDOty<GtcFX`dk`G))c<;b=Ecm`0oVtWIs
z6eRE}NOwPe`Ri4=bf5WJorTGxDF20=@(cT5v?*$_YMGsEhGSiX)+&x#6eW7KsQXI&
zZ=yf75RafD1CjQcuZIc2LqYHw)e^94-Hd6(2+A>!J2O+JN0Q@pTOJcT$ZGI}i**e5
z#1Q_brc%#PE6-FbFi-NyYrLZSK!9Op&h$%|APGbbp=b7fk)k)Juj-czy?lB0Z_Xlu
z7GjF0oYH(^98&d}KXNWc`(x+l(K4CG&2SoiQ{fA~kh||L%Da3j<TMkkeg3>v#J__4
zaB$i}qj*XpDepias`kh^r6NnN>nb%Zo=^W1b|LJl_c5unEQ)w*HPgV)gmd27uhKN4
z*W~8hgh+aW1+n{KuTxR<&D5xu8^No|CZ9;Kd{&QJ;=gzW23$wt(&Hs<(e(%2^9<MU
zc{oH$!L?Gsc0|f?{1q9rs16(4xj_>j;x~vGlMgQ3qh0*{Zw#dJU+7>^E@QB|MO<sK
zYhU-Rje%1?9fp6pecRVvufM#PWENFSvMXGs!ieAc?!%t{Mvf2Pv*LNCTH=yMm@@D6
zMSQhXEBA7b!09m!o=CrisCg8Bo3kt~nn=&V*a=}YTOX^4u=6m<4VjsWm7v#pl?S~X
z6P7+4!e0!aq7*Q{yp4OD^h5=rFh>Z<cOZLX>9mq$$^62EyQ5<JONOdIPQSc(nD)R2
z_Ql&&-6!e~+{D@O-Vkjj`7DI0I_-~2f+>09?vIR{!*iKx1|c@+fK_H5Lf_>AYKfVo
z$k1~PS0aQ&ZOYLneycrGxQEep_${n{I+j4Pl|IOrFTeA@@CnyflR`V<@vr&r*Nqgh
zisat%ul7ADuY3OU!$-Ebt^8w}URJ}G9&v}U@AeBZb{;)vH$65)lMIEUfdyB?MH@rv
z=rV7wl=P9ldbzCFVqxb;5+3Dzul0mHPgBoOkQL2Jm-?;Mc=-Ld%$VT^r9am118Thn
zX3rMvY!2?*J_xoNkG@w;Z9Yr;!dlO_{-OBN0_E^Y+c&DK+LO9MVO+g>n+_o6XhP3_
z2Ci;LL`0nbmKF_n5sD&dKkvDD^Ol|~B#+sfgAn=lO8krdw(ZKOP)s@zazp%`yyoGX
zJ2%m#>&mkkW^=P{lfuGqX=ibFm7Z7Gy9l8Ci1tL>t+**;{c2en+jTAfv0eHa_9L+B
zrJ6ZEV~WU~Cr<l~{aJeWVg$8@n{Gr}#Vja-=3G6<CJ2|Nz`}m6btsU*i!F^3QO?Qe
z`)b1j%3z||G`dgp!m|Y=HjDDD**e_LXE8p#kgJ2D^lKMsv&D<D4h3_Swcvcg!AT{n
zm2G|)%hw)WE68kFJE7uF{i*4zs!C@s$4M0ber4AUx8|7P2Os3qE{1s!#2)RDH$KR@
z0gd<5zbmKNYSadtC7Ju&?k&dW#TZot&ujdC2%<{8ubQY>M2KhH&JMy=ewPn#N+;xj
zxV`Ohe^u<(POD{ZsZWL=Gm3#-gZ#X~3z^n-HxDM(?RN`{|KzpyT+>f48iu2r+ESCF
zN2SsgI>t^qL5)%@u0CQ%!PR2XKW%bX!joD=H_C==@XatqQt1jPuL~XcD}PwTf+|mc
z=gMT8eyFSp8x&rPJpA15w=<%}oY<Ll-Jb<Qsn<swcU((XOJ}RS6!zUG(?&?pi?`a~
zchyksalGM6MNfcP6JDr|pP7+&X;oZ8nt~&&W?(jtjqI=Y8yDX{(8m&mI$(=>I6>Mk
zF1#E-&g7IgolTQa`-qYqFYql6rds{QVz3+ofk|wGO8HuB{9sBYkHQkI+vAb9$ofHG
z8iM`Vor`JF0bFYBSCZ)g|8V3qw~Ml+yavsMgS<sQG(ukC4fJb_HG`i7jiDBFjF#DM
zm(1l3$WMNI6<vr?v>nNv!GN1D+kh!9+uyh+So^J>`2V0!{u@sw<Sml^J`0kPFB%C0
z_Qb5HMP7I?eJ%(c0AT!TtvjUmk>5ee+WvHp*&E{~-;C@|4Zg&0q#n>D)V&gv<n6WM
zE7HM20JN%)TH{^WFRHr`g<XJZ!Okp$2K@HBjKvDkX{Mtan>suYt7z4*%~`Su!?NLA
z^y_)`qwSEv3o3M{bS11XjYR@!{eo4XS9&7%Zt-PtkaMiMo$`aaE8j&Gt?M)0Z8^l&
zSBfe}+UZfwcVQ?51A%)_ZlnEQubl)#@3i-mdLv&<_B&>4(8|^tLaabvbh69;2>w6Y
zkL*x*(#&6eN^rb+^p9_8yR3&dD*T9aO}d?LTit|UHV2WgVHpX)B_2C095WNgXH=hR
zT`$&?*J`tFSlL?+#Jz8}jnJDSXMzd}3O_4v|5P4aPPex$hoavF@#+_l^fhmQ;po$$
zR_js}@g^W3M<_3us*UAf|11`~axwN;o!we}{dg)&IwtI~&k_T1RMi6x)MN%QzK7&6
z+U~v-d)<P5XwvvJGSgFmZ`24oo9k5>1ey0=D!X~`Sa-P2W1%`2s7B0)@ITwE`o+LN
zVUB*%1^WUh8Svt_N%C|rMZ5kpiwnsjAZt=4;%?l_I7wl*irA_8{MK0TtIfh)VbXVI
z1&{G>BdFg63)$`N7R4Jy6)!$MmF-a(()ttahD#(HCQ0!DRS*sa27!-|9I4T7zAyrg
z=p&4m^?6~__Z13oQvY?3)NJ2=)UYY#gVCFRV0bD|@r)rk@)$xQACY0chP)MRT;)s?
z--Z1be*{+G$@Er1$qI$V+F?-xY|y+ZIkN$i|K^hJ{Kw#MFIjv~^infLV?7MLuofHM
zXZ{5-(R&+4Lz3nBJvbdzHI+5<fN6HL_?{u2Nv>dPz-^s>1u^>^SNP^<!C-e0=fbUR
z<8o)~@3+ILyHH3v8_{=S7D!i>d*)PhmONcmDgH<e!iMeY=YsP{kLY!m=-;c?DeNX{
z&<(HJaV8Qp^GTA<!s*c3Xw7{#D&*wa;i0;Pd8E2=w6CF<y{5rbk9|z22C&wH0zU8=
zr&;)}jQbjRObL;HFF`YFQKzZs+>}??B8uHlX^?v7QCYCG+>^zhInSP#+v8a$dyc1A
zKG1^7*=C-IG(-tdhZFM|bAUY#AcPG<e{E{m)&;G`YFOqK?X<3rs*q>GD#BJ@zSj?(
z)#%i2GU;`~9mtsS$<x4KNGh4(iL(c%jEP<e$(n)^%FxVR|Cj9X$_%mcbShSL2VQr^
zI^7DmWFx5Wxq=JMW|+WIr?b@1F16>@cUG(Fzuj^mk@Y<4sukPyIPm0x1^W{w5fY@l
zsJ<Xvs^>q+IkGV14}kq&>32B#pS=ZW9$R?<+atQjL-B{{((~wWff)B$eIkf0r!8tY
zLWSNAwZ~6lPu7#XCm8-F%ca4Yri3zNF!E2j%Q1_q<C65T6|JdfIo^wZ>Z3l0W>Vdb
zt~H+g+!_{!T)8L(QC0rcFM4#)X))BI((wDM+`i2pUhn#png2qyBTr>4Ks#Y^R2dVj
z+zUA9`{J$OB`DNMNAYV04wt4>7waCO!>an&X0iB<H8n3(@@g!s{O0`Q*atFtOB$sw
zj~2gGe4=4l45~EoZx@AMv><<D$3=DNqL*d85YQw=xg|V8B<D$Rb$xn&AI@tA(O#AP
z;^o>r4A!kPYJ+WgVJ+xq9ROeE9Y3?QIi+y=HD%4_7lJ0)Wuqil!+f2r6fTY$Z`7+s
zjP$!vQ-sul#OVkhk-*k+DBHk^CouP#@}wq3I81tu|3xWfU&Yz*dY&wtNO+Z^{E+C9
z;)BK}{)(I+;uO1)t)hEakv(O`kB(BapurM_gW0fOUnu~ic4Ud0=&CA0d@cizRl?6y
zU$6W)M^WD%wb5z1+-Mn5fcPg$f&Ctt#pm5pOU-{z>g0nz_RpBMUSmJBr3xX|2c_ho
z*4W9mUJhU=QFe~2i((78j*J@Dw|XYSK!7;>N)bfjQMppv(;WiJGmC>vj{5#!NqK3o
zxUhWCDeJ+nMd!{k0PfFLts@LW+ovwb_5OAa=O>d;U+q(^@RCV#{~2Ld9Cm6u4;$it
zLb1u1X0+;WG5(kl3L<T@d<r7!z;o>S2H18u+8A(5ywVrLH4Yx9NeR;i2Tsty8l|G*
z{}H(y%cXHM8DPIvpQjDG>Tn-b4S|k8-NBsD3JKBMXn(I#UM2`8=)2(!vg~{HzSp{j
zL-`N;tWY?MTZ&=}f0XrEr~0u{IQm>a>xe!DIQ@T8DM*?LJ#u6o*3~P&sXGs^60-WJ
z9o84`!1f>PkN)RzRV?g0*7B*W_N&ML8e|W^1P~+JRkmeg?E86Q1pk_!K5G2Xbv2+}
zYdeJ)P+Z&e?Zq`UyVhcHkis8;X__n^3*%b@B(0<JdfebVVqfIX`Eh2*U|wEy!2L_|
z&>PC!V7|Dn;mu1*B}r3P`QYE4Ij-X3Vf&4}GhN)&^nAa@Wn1npeGqpiSDrA!>_;1N
zU6wt&!2jR{3V7D4!;(s{dtU8!z9HHuiTX{*Bv!?|8IU27h8U3amqdn|#c07_an9-;
zo{QQw;fsnO$g`Smm@uROlcE4NxM@4z$hT6b34M5eRX&iFdpzgiYKtoPCB)EU%GToa
z33{1Sg8T9Z8;%^Onl|Pz5Yes2>zbRLbDqt536Vg&DiQh>yb5oQw7@t*;!07wuo_id
zZ=_D&lPmE_^ZP1FCL-4(l%{II8aKr!++8_w&i6BnuiUWpMk%H)@RpvaH$<C|LeIr$
ztdWYuPx@Qgkp?h0ExIv5Vd05yU6_X8n2sa$8g(yQ2y?Irt4b^_bJxPg=cL|prgwuZ
z>5}8*@JB}f(N@z!>p$)SV0jk5Z`ZN?Wa6-(Sx}nzVP^vNdiicq`d`1W`b>7B5&#|M
z!nYh>XdieW6HFdK&feaQ=dPdSAEpJGKO_+`RVZt8+I;Z2zO~_S?<l}e@Lh})Lmdh>
zPY7W-AqKbQYBhW6L=}f5yQkZEEn7V1?5uS1)qH*TKZ@+HVG<%~Cg;HP@w<$n)Tv%B
z`^h>Uwqc<EwY%*EQP|*QfzG*VM<J=)VbM*+sP(QsqVCu+R(I>aU!e(_&MdB+VQrUX
zTi+_j6`hEKxy7&=!R_*Hf42D`nPZ7+)@#fJBq;lFY8kOnt?JML%vb&fjSAm7O-p=g
z<oejmK!OwVeS{%n%iT=Q?npBVwx4Rpf3TECvI0;TiX}syPl=F6wLudNs!$^tNx9Ac
zD$1u4rQ{>!yV%QbLsmgCO4ol4_vVF5bDt7sUquYFL~*#V!8W-a(T{(?v-rcn(q<0)
zy`)pj-_t0Xpm^eqH)z?idL7kPnaJ4LYZ<>+ooYVr$36O!kMF$WvDpqVF};tRMv=nC
zUf=%Y?k)59MJzqXwr9{78L_IG6<Le{5&0q<(-67d6EMZ8Pai<p_gV)>9fbPO#DHP0
z-53eBy@V01Z7PTW-EDcvH{sAta73g@RCy?V^6cSkw^y#=Q&nTulr98x%+<iE?uVLY
z?29Jj?%6ffj8~yr+co$-u>=~d0<CIjVC$E1V$v_AU`1n@-tX4m$*r#ivFm^T`q&VP
zIu;1Z^grGr?L$#H3-Bq1m!f=GeT5<GoteDv=@m*(h~A)ZtEps7gA{sdFyi-17vp!s
z(SUV+;c|~Tva`jl?C|(MMLNPC3t8c#s`aq(Mk<D$S2sQ^pjiGyvCT}}(cnErIQmor
z4qTq}wz)R3VO%Qzv6TrAflbTD=5fs^@gvJ|%dc~UJ-Q|;uyU}@l>T6vW>_wY7KGLy
zmJE-3%l_oOjn3{0pW+F1L2-IPrQ|z$LOSrxd`2t3t9UHreDFuT3MPAb9tr%kx`&p8
zx|jI~n=`}%fK7t4J*EhCHUUMapr8r>j90k+dJOu-H=tjkVA9%%>rvC%)n%MSArZ&<
zcnp8|S><tg9l2S(GU2<9pzHSolm)O6_GuM(321d}igRD7F7B-VUJ;*kMm_ko`8ET$
z8t&tw22~TYt0DARNhgGHCuzaepdq&3pLF$`+jhvR57j%Q`iG-6#Gg-d?aqigIX(IJ
zO)n77QeUaIQ-vB9d+{u}yHtPodtqth-;cJ}X4NE=B#d46PZcPrU<n_qk0p{U<y}lp
zuwG<|AQ1f_s8_~U^;UA<W`MWqJGsn#8LJsi3j0+Vq1m=?39*4WLam}@rz}&%>jK60
zH?L`eU34}>H1rjFTw*^b^UWfM;HDkci@zxemz;Xst~<%3{*=2O<NXMaRb_;fJ0ngJ
zk;H2Dq4uaf`&eaFLNLn<anNs_BeVbi9&O{qb|=6?s%oXaoMJGI&yUnWa0rFGOlj@)
z3`YI;j282IMar+K4PAS3vA3^82vwNUHF#LqG<#a5iM#zo5#CQ4pdt}L_gXgM*go%b
z_O;xQxcwZ+Tx)b&7LwR4XfXezf{Y19ziLXeYD#c5IPYsN#!csIc6!7XF=g6rJss4g
ze2UKu146p&2~*^0^G~mLn_<KSoolLU&^ac`JwfQdie4(bKc5v;-(pPxwg_iM>p@ZI
z%L@(Yz21#SM664f!Cr^O^I1GmY{S9Q$Lx21Rfs<*CTHJk)Sb)z4}{T2#`P}F%Bh^7
zBGwHedG@S}em2kfMMdDA%Z=|B`@&Z*xNNMp@J(}nu>GC^*=N?R5m*Bs{H+>v3KaT4
z<hp{Tm0yhA8wVaX;`ApyWsG=%yuhsYkh!<$@m{C~7xianEvh*H`CC_vEG#<c6Y=vg
z2WhG^qju%%hDk5-AA6K@gZp`119PzN5ag%{u<p55{b*vEM1TKLN9WBIZ8#Gt`f$5{
z;I+Y9E$Hx{h{Y8fd$$EHrsHfTjy)N3wF>^jyrqEGnnRBhKbbZvw2J;)dtxG)&v43Z
z{2v7vT$SmSqFS#0NXwd>IM<k36kB*MO1rkFg5&E97qNjC{N=?YD2dfRS+(Yj@Al3g
zEkHa~i!8+YN8p`i&p#KU<_ITeBbqASlzWtZPb)D_kF&_A&w5iXH&|_~EMq(5UU!oY
zX-&`|4~+SbBFZ-7^4l3z*L^gx<FRRN<C?oKb)2c-7ZS)w2K&m-9c;j}t<xZSa<f1N
zCex<Q^oei3+65hF)ISMHt>ghfjrrc^rK`^|KsiM~R+i2S`g1P811TLz>wL!<#a%c*
zUlx{0faQHRsxBa)CsjV$S?RN3H(ren(-*=l>${^gDCK<)HX|Z35@y^()+4ofi~cp$
zcH%$ZlPtZ~wcvhcYEO8q6=U<5U(HiBGAZA@H|T@mAoDTdsE0i3Gfw4U9#-m?KW%gg
zX>MFX{{{x-=#qkZ>x>`#0jr*6@UWnq|I+0^Fv>W8w3~5gvm1)P-!cii=Fhs4p`QO#
z6^@2wb(v$>4uN9tAjXe+<&VGzb|@{BIGlTsw>ldNSb!#+b7y??4V$(vdlT|A;~*P#
zI8e<25EeegkM#v^zKvkrXFbsdZzI85EBka@8?j$FnWmAiH3b_~R+Zxc8S%%-PgDp&
zt{=H=wKI=i98WRl%`><}2-2+o&|o5vUzZjt_QxwViQiku?99D@<oDEHyEYTE2tHl^
z+;trLaxijlS2DOsN}jj4srcF6^xE^+Ze4IbxlL~&<2uRtI;D9OiRxjWlAytJHq_h*
zEg{xF3Rac;`DFAHHkXY<_4WE6X#y;e_$PF6S{kJRuazLkuFF+zb|{_~P$1t5?80<n
z_e`~*ml6*;cx^yc7(3tilN%pK{etpIArVQ3c9pZxGQ{;xrm`5;L1gAyO5~w_$R2)8
z_0KChNFQ~wR#7wa7ng#9M4vfsS*+%QxvrU%0~KlAlulE5-g~W=MC|uv4B(e@{{O$n
z3%a@=5y7tXD(Nk+rtnu%o9PeIz@qNr5G}MN$s+cW2E-?=I&yYRih4st=UO#BHjdyE
zu1~8@oA10-2T%ty*i%lDZ1<Ep=r9}*hVjQbBwYmXA^VUyo8(f(iL~ClS3v)tvvkaN
z({FZWeKlgWGq)q83LVg|<uLrh6_mrMCJ^kH8Fy#G-%GnKESC<h3N$UmrF>_R`qx*T
z%E)(4tO?ewj<gIFyt-c)K?n&^K9-k2UtAL|`;msY!L3L0jl@Y^zH7RQrluP7vR%ae
z_gS}T;XvbdvEXqvx-3{`sgJz>s~6>E&!1Lu2BX&JUl3&x_Zp{B(wm=q71iz-2;_FK
z`yC|-A-n(g#FGTY0G!#oLbCnG!#(f(=zQz@{JvMu|B+rX-@5R06U|M0aiG$Aj1J65
z5U|Uqx#)L4f`V10y_caw;QOaFh)=Z>AZMKqeMP#)h~bd}MXysG4i>+cd019Ej2M4k
z-fvOt6874+Vg3mAvgO08Dao=jgvJ+PnKJyX|69mDF`*M=@ovG=BuKRXXUR6u_Vlf5
z$(3%w%~HwRr~Dto9anV+Gl1z?CnKc)EhwzB9Z_e1ATbV*?JgpAZ(PVLn|a!Bs`O!S
z+@wjY!X#Ai41z>Wq}=pDrkA9BbqNp51R5L5kM%3)w~_!8kq#Q$b1+*2p^r@pDx2cf
z-t?G$T_Q|>>Sm3{?9|tM-MgJyseI8MXwzszF(~n|pycXQg1a6KA^8RG8QlKC0k{aH
z#Tmb6Ht2fRREBTPf4OzZ<@Se7QD<MFJ&~BB4>|fFAbkkjOZZDimbA*@=!b2`2eRH<
zpK~$%L89~9g>c4n$VY7bLeM@eV%h<dI{nu0Leo7FIDZPPxHC=bV2{oa3C(XVbrC~4
z!r<T{P<23NIt8uM$u<Gdh&67p+RFl9OzSI%Bo=!^)$N-PyDznJ@A2tdQWmqhxSfHM
z0@E*5qc+;FzKTUWZT|5h09HN%`*3<kVPq;bE%}^vj4-15Umf7kaz<YTldL;}5g3?)
zO>*6~XeYs!W}9EcR?jA081qW@R$Nl=Q<PiBSs!4m_*GhrA2E_Zwjr{IzF-B`!ITqg
zR_zlb(k84a8TF+uDFCe6Ft9H_lSGr}v=8eo_E3o)VVo1(I|erku;f~l`_+>^%?Am=
znW0k7Y%nAA@OFby%*b($KH~2I$@hXtM<>-YJgmk~FCLV>P%R)g1_zwNbx(psDV!-)
z8?frYd5qX4aqk}k4itTHya;yU|DqHEs?~%H*Op;)K=lVuR&WEp|E<@!>+TAq<0)H-
z$ML?W!WAcZ-;d)tuT&$;r--wB0XtRye@B<nl7p70S3W{<ZuN3s=%4h+csa}06K|E=
zs6YqGr!c7=yM;HJhq}S7yRbnu0(_aK=%DdK$>R(2>9o~qGd1YLGZ5Tz{}z#&SE;o^
zcwsjS5;Qcv7$iZy{c>X34>AMoiaLIos0kIPyjbNHN6i@~#PdS~l+1Q@ig<!Lt!h%9
z2crekwcv2C3JM;kay~uA>9m5?&TWo)nhJHj9@AQ%NXMf{+I66_K47=mcTl;9F6Y&5
z(~_c5gW8b|rW>*-^?Y7w0U<KU3~J=J=YWLvaBeG6hyfPr-%Hv20pmhMN;RSIba;Hd
zsr*dW5j@1i5Yq8poUIuWN=%7EnL^?41Lgu}OXmt}z~*rdRFcF4mA)cZX*mCSXU0f6
zx~-*sD;}PBl*wgMg^5JJ+6oF><+M1a?WOql&63t4BIcGg8YnY#yrs{5EM)jvoYNBX
zR|R56x-oLWnsSGlS2%&_&Q0CrUWn7^K1~(`1_-)(y+;MBz3)h1`fHJ8h&&Tz6{8*v
zaZV4uy%ffC*mWbSJHlmGvn;5J8M03N&5ku_ozvtB(cvQ6zk9@`wVrM8@ju32`vPgo
zuj1tZiA8;dvvF1R6p>d=o2hY-KW!AS++x!F*Q3FUZ)};4L@)!^P~O2MHbY~}-oG2;
zc#KHE!R&foY_I+VOM5r%*&Ssm2&V{@@@fwKo-WLK|4OY7ob7uoWJUQf9}zK7X<oop
zS^2i0Y+4lb@{eegz_$rt)DoKzAy4I~8SDjz1!mdH%$-CCk*fNp&4qF^(6qB#G5XiV
zX5!Gmg_h&pXT<zIc=Oh0h&-)r#P@ho`-f{`-LDPa8G2{cItr-BTQvYdqz3aiCVjQ~
zx$pA@Cb#l5-&A(M(lTaxi;k93K}ts`EDy-FGK~cS=C{I<DZG3VrUebp(f%Zvf+|{n
z)WFw_%0>+7f*`$XE>;x<j`0O#(N;E&&{|Ahb-3hZ9m}%^>%X{Ay705Pl!#T%PiHVK
zW+=NRZqKi&YACQt*1_~9ULFaEZ8iAUqD>jng{OB6LTybwTDEnY58%nRyi5ERZ!Q*9
zp!dGjo+^a-ZC+LBZoH$;By`5ah8*YCgT1iWNm1W9@Hfc}M;VSnDl7<m@4qIv__Ek8
zQ*}E_F)x0VlOPO#C@E;U=<+_%0qSsqC_7XB_3c3*-}f>%ZbOx6-BF3%W!o_=q_iCh
zqVvC>=hwIHhLP8lnC}Y-n`o{w|6R5{pabzI**Kep`=s243=+Z8SE01R-q$6}0LS#*
zWaGCuR{LpcGp1!k?210QMBLd749Ge6ra=(`JrfvC^<FGD`1Y+c;4Tm$J?B@MKmUR;
zTxi(HGcKws_HSBFn~k1&O?BqD4mrw)pW!e;iYb@ptjpz?2j7NE7f*VQ7Cbgfrol_O
zv+#&?{EOK6w*6<wmCpO{B>86|iA{F`&s4XqxGlIYRWLelO{pI4SBra3tcT~k*J;;^
z{vFH&g4(&k?sk&R8&XX_N19-qu<}eIq$=S$ftud6y7Rw>h3I)@JAn)EH?aS9(Y=D>
z(Hux=5$$TU?f1t5BWp?Gb8M1|10{%^HKF9Kr~ms68nX5>={)rBSC?3FeCg!zN#hcR
z;Gsu~E#Kv^<s$A}uMWOW8~(b9d0K>U!C|}D>*7Z2XprUGyx2bv&cuiecIEo=uBi|5
z;CHQ2315{yzUWqrd?)~BID>S4!?SEu5h6jDuX$yB9S~Tp0bZmm7Zjmr0fS#O@z4ra
z%@Oyf7qUxqg^Eu>@3q(=<DH^YY}e>oHJ~h~_Q$CrBGcK@cY<GPHa^YvY0GL^@m@I3
zX`R_nCtGB(+$kJ1o=IL+wMVf}zk98bfIT{iN3^heosz4>MQ47p^3|<p?JY6nn2>$^
zHJ`-8cY>Ch0swan5fFa$@i!Ebx+h_R*UUTF01*l+6>-67yZO;yzt0wdJ1+tl-6A(A
zf6QD3@BhgxmL^Fm{<Zwwr3a5O_M10YLDkjm&#zwH(=ud7fRl^b)i{}6<7@$!iqBuY
zUNqB3m~=?v@UwhWFE>bVVff3lNRm~HIh|Px@vm0NV9dL+E?U3`LvIHN(*LWX+o0v}
zzcnT9|4$jfzo#`K_MCM*Q1YOnIBu&w6B{Ydd)&<%rv<-(WK8T5mxW7{KN^#z`w^gV
zOA)CBUpp&KvACg-wN2D`U$f+Jl*LVm%*<pE{0c21QE%v%lbkHVvAW`ax;Cpe=&D~u
ztaAf88(b&<0MN$935`!e@Z4my3Y2dLRz4rU@#f?3WIP|p6x#sug_E!O!L?*L)093U
z@=>b{%A#pRWmu5pr?8RFGccE0zWWmhnnWU2tG};tt|~GXxc~2@v3;Tv@63;f9$5H{
zxLvZk{=KXHQ}6>hPHpn%2FzfW7w*EmNaXDq_4vq{GuMA4!2v)ojnpMn*1G2frO!xo
zVPLan`KFRk!3%`Tl=rOK=~CJ9kIs5rnAY^lH?{sVEH20D$<;MbnTqgUR9j}1`P1`6
zKD{&^y=D@e5IDyvcv0}sSn5nWU&~aDCX;>I@jZ~||2n?sp<?}_iQtk8M*kNsz1=G{
z)!`TI+pfMI+S1QyzqUND>_m@5qf}*b6W-HUmhut}NgoGlcmE*~&$p?)(6E<kp2_1J
z8D8Uzb{6BXT+11=46F80!A5`s9p?45_A9|^kIjw4zWks@Zdz9^ENbu!^Jdvg$-gXf
zjO!ul-cLcj3grJsX8@&VZN60DucrQPWD-cWY<_LV#4u{U6VRB{d3;uT(~*EN-*FYu
zldd>N`=0f!+7rM1l__iC+IJnqYK>7MAC2HZjpyvpDd7zocs*ptz!qTW(Lul59uHt8
zh5%bryP3UGJ)7CtGx<T$xXXbUAbOnj#E^vJyz(ot-VDWz_BXzymVqDlyyg%B^*TMJ
zqOJ@gu2=CGL*Z{l&1kda-XPIsq3B%HfeZvW)t*ZHUX_@o=m&&E0fL0*#aQ6RKY78<
ztyf{{8%&6VuN{ZqYj7Z&dk|(_Eo+)GxdyVkcxHtXobeBQc+ey$kMG&%`=|yOey?Mt
zTcidYn9T8#$q41xKjztWD;~<g8-+p#pRz(JOh_>{Ww%BHJGtGJY0~B1TYxT8Zu6Zn
z;kipP_W0^U37jsS4omG?2}X!doAek61$ZH?WDjM^JAB7ev<Z$L<i|UtB3q917fyb?
zH1xfdT5bnt;q(#p+WhcsPfZdC8+OY&o?6chXlMGlyzEe19{xIgtZf58B$AYY_|0Ow
z$^2AHlnegx&<i;<<GYCSbutaFHUSVIVRuqp10C021w5c?s!(j#QF{>|irWhY<(28I
z`pK(MuTNzNeU@OJi~XVe7j0$2y|hSa=FeqB!Ip%L!GrHwXYz3Iwx98R0`Cp-DM5Y>
zG|4eS@nlr{V3scv)(m%bd<xB(U$S$*Zd|_ys)a`7men+?x73RH*K!ec4}zQ;hkn-Z
zSs<U*VuKKEqr>rIU+)7RJ7E_XA;c=+2Qn=E+ClEpCa~UgA$Kxuu4)WZue_WYTT@dq
zz3}DE!FB6)l^tWm&Gy<RKvr5-164N&ZAeNtUD0o%r&dFvAya>uG|;?T`W34bypUit
zyV7L_EE$ZUU1d-Ok^r5XMqg@N6;dm}c72}(LZ>WssnEauI0nkgW{oG^lN(45rxWMh
zqxf8pTiI*_mtOmz9W%TSW6J9fM&owfdRrI!xC8uq?{`$rv#5Z`QUIezM3zj>jg7ue
znhtmC!Tjq^8{)*IUf7pS82n2y9Z=od5ACDGi+=+)`@gla04wK~%{>qRORgrR1GKgW
zh+YlnuC@WmJ9fhYJhw)$?WACC9PPqj2eyxtBPvhS4-p$KPdFC%qo(z1@^cCQMXcd!
zv=^Gt@PH)AxhfT_Pb2UeP|jQU0vpV*_+mtqGt~wP-exhU?&-A-H%X?o2<V*#XXe#3
z2^-9TZ+)XOmBweXLI*MfES9S*w=^4D+z*cAZ#tPF@TjC}XM3O&Ho&GSuLHU8R=5VA
zUm<%PN7)*Z@k?k}8J((Q%M@EkC-?tfb#ECJWgCSHkEFsNDlIsOAf><nQaXTwgn%e5
z-60JUBW=(zf)av&bW08)%?JZhA`KD)NFyNK=N?|)_`b8&S?9<3aSqGn8s(Y0_I~!>
z_l|3W=B<c~tm}o*Qg+m>+h;Ww&odGjGgR!3*fVw$LfA=%Oqwr;2nOX0Flk<5{*V;;
zd$4ki-d9148xc?53J_`BtRbT1AH_?LH%C#a8E*AUEqnt-(wd0#ysxSYuy82vSSAf@
zRRTe&p^?HFGUUIERjx?o+)bnV(7(PEHkYH{`CvVJ)opJJ35wfi+j<}9uZTt|t`jP8
zq;LZGNx0$Dv#WU@iIa<fRs4)4?<S4gZ7wTp;s<kQ4O#%_Cz)G%-X}nj7Gylp5Z$iw
z&6UtCe;MGCE^{}6`(3<r%(nK&+VFf{Vc`z!+eitj%MNESC?_EY^;Y8felN<e0N3DY
z`rC6L0R3g=%(5(ZiqU;$$>2y>cyituP&&me>vl<x!;}J54I)LK#_G=l?-gR{N~#&d
zE0T;L4mz0DhUjgpnJWZC5ODuu`v7`o+dRCL5q=CHX_gHqB(`-#Zh3@n-OiV-IoG^-
zUcwYA*kId7!_Y5F4t)RMZpk+PN>84VZ*j%?=Vcx118I2vRL|$QV)7W{Fk0!)F&-I1
z55%a0(rnGc1vMoze0~XAUQsQGy<ZttwKjAvwO>c4;V_vl$)8;KeZlz_g3OLy0=KGx
z3wMrWbeq$>L3y}h1oazkqxk$n|H-s_nlJo8UFqbWXBMF(a|=&$f9vJ-FJT1Szeb50
zd)R~eJ%w&+Hk)!KeA$|_ZP*TO+;S^tFQin?Me`4w4^eo=V}$mNyvP_pSTpeC26Vwq
z9Do;n$jDnBk|GYAyJ1&9;n2()ey)rG)Iz=@?+&21@N3Hw;`?BssJ6+e;AygSRf?=S
zGZ!tbOXFU~`G9y6SysNLTGXNbbcH8(43PQ^{aX}(;J#8Lng(4B5|nx|2(QrD$yk$L
zRLsMgHa|Z9eW(|dyyxbYvu|l73x!**zHjQ4+-1FZd_jF(o_J$VL7G#@9Iq#)dUC+6
zKjinVFQ4*XENy^#qIHmjtyg1SHW7HqQ~3Pc+HQ^jq=3FN7kYA*k1s(gaOgr%_BVdb
zR->9Xw23r%xMLo3;30qIw9+OF{)Nb=o!>V`VH;c8rh9adhx0t7>!qyZV9OveDI?FO
z8zOC2E&Q2JlM0~&?|^__kSr;{ryEWC?G=Ingwv&5E$QIBj#mCIUbU~i$ycFtFuUT+
zf$gu;J#C@SGBP=I3V+k)=Sx&s+n|48CU_9A41V*Rkqg^I(!=jezdpNQCX*p_;l}&N
zO5E6w#E#tRU4?zkuSaLrt++NXl_l6;G5ns{l;-rqyvJI+()1G@Xy)fGu>nO)hXwmE
zD=ZJ!`+yeg1#EtD#Nk}7Hhs6C#6IfWu>c15;1hqovF0l}%LMGSpY7fDW?7pip<c-!
zss%Y`Z?)QlqovwX`bTsC0GS5f^L$EU)5h<Km(aj~xC8Dp9e&c}3C-5h(60;Wm)iYa
zUJYB22^e-RSn&i_=G$$a8ji~T5!&a)AC$SpZCHeAL<hmOHu)PsqZ@tYDKl{Cx1)7c
zfR^`f4yiVwm`9-xlF=WTiK_hD?a#1Q>_*VMq#?<E1Fuk}OY$t4Na{@uX`#!T;(!16
zu3;37woNmc-#WIALKYW!bmi4OMwr_+#a0jv%5V1V(F?j&?2Yb;AjR?s+3n9qsqchZ
zKBiyN*Y&7q%X+d-F9*%guAXwrKy6U5)0;IG>Dk3E=Vh<SKl90QHLa&XY5wG)sjcet
zU7PHAX-vYTiU7%kO{G>s%XcH_zKgneH0!U=SND(9eUzcp&l~L3k<;`64eG_o-@-vx
zQDBi=ts%79VY<1qzACIrgf`tBO<=|bXI#!yV9@j3_V|Fdm;a&V$|xyZ|E4~z*P`uy
zj~5Tgi+7*fRjt#!3W2$#h$~JB)EZvSv{c2n-ed<rCIDgDsMI%61<AB_RG&0W%PYM&
zpY2_n<ka#dSLOFt;+J|Jj!i=|F^;^57Sb$BwyVz>H=glrKh6pyE7+CyZ>^%Sliq$h
zie3BMUT%{6t})POSM-;c^Z7?z3~q`?nuuAj?tq_^g<~WDCq<yckJZyXKl7cKb#WQ+
z9s%@3-GVFcv;)MpCw&c6uHArn4*Sf`G*@ZTpxQljmH0;kHEr5#R+cE4u)aUsnILNb
z{jV8-MRiD0y_o7*fB`U+dxbJf=`NzN0^tmx{PDZ>n6v$K8ymVQO^@EVnUz(Lo2CLa
zM8752wX2Fa9~4r^3^g}T23dN3U745UIqxd|)Lat1_l&o*y~^B!owqQO0@r^R1W|;e
z@1lE}K;w5B7<#MUN+KMDcOZU}l^&E3d@}(W!Ov)AJu(2aP9AQdn13$dApeWmON?b0
zAghPpO?5_-i<0tG${g7Rzsnxxxjt!5(|9kl5~WgZUqBMDQSvq49Ti*#%=pV(%WoDj
zXJdPG-+w={LDwCu5&V+Ke;;n>+vTC+LX^JI9}MEG9ilgdbJm`8un|sV<-DGKp;#xY
zX<qs^{uNn{o96jzhfM?1POgT@N{&sjGlT4);}LGXwcAE+Msw-jNVXa^@tz9+9-qB?
zWe0eucnkXyGMh}RP&jubN6>CZol)p*_jHXqvh11zWOu7~mA3C;iK;_<MEw`oS3*+B
zS_X@Tiy>GA=`xv5BopMnk%(H8UTYre2f*^;34NcfCZI*mS~67}2s2N;Ys+P(Vr=>N
z(rt`XZoNV+F@Vf)eDA{v<JtK_zEg-<m9(r_uyK>A{HTs-$q!DQt-ma+t$$wjGGCl@
z`n-pAxw_i=yW_-ivCOdWD-Al}683VvF*Ye2fNT109ts|Ka}vt1F91JSxYT)S$Ce+~
z;!l#PxV}9@M6?9B2(a9IY{oYOGFg(v#~m4=%TWb$dgQ2evBKwV(@rTS)HO#TkK%S4
zGE4#(9L<_dU1_*rq5IM$dNv|xb{Qu0tjE1-SIz5*yERA_Qz?+Ksk?TL@Zq(1kmsWz
z(U@_d=?{dVTa*tcS-yWms4%MRIs9|Z+e6ihA#w-xPDe$W0LA>%D|nRRG?&%NCp&++
zoZ9N|Rw-s&>7M~Q@$w`wy(yOFPRn|-!{?fbKz_$c-~jb*>$b5}^2eSjeUmcPWW8!j
zf6F<CD8}ZYnx!9tZ*D_~KFDn8>s4A<+eyuJYLxU33-LE=+Q0y`lt(BnMp@z}A9ZZR
zPzy5Xyh|tGh82V|7;7d^=?lI$ZeuJ2N!x)^13D`2+I9*)%o@x~Tc>LP6gjosQneG}
z4B(m+_dcK>cLe<<?6An}!B`rU^J9vST$ycJ`QNQxG_5S`my#D3(aO%O2h$lrdl}01
zOy(GGfHtQ_KD|60K#gsQ{q&!5DvIz#zwIYS^{Ehp{@&>&w_l&PIaBg5KKgSj$m%`=
zQOnrg)Bi9#>T<JRR*_mUu(H$RD(+PNUG}2OdsuwdfC4ArJeorz4XV&{(N<^+V*hiX
z1<We!SIhH~a*)bZLJ#^x-{XFNA-S<5N)xHX5ncD1>j@ndm2lgtvj5c8Zzk+Zj`nJ8
zL_QlKE28exj$ku{PuXuatI4ROJGDGfS5fKV(j$SBvA(NJ0(8K*D6yMsUTH6y>S5F-
zHq*$)Ug75bk~7&TpKu0TWu@4K;B5;wi4STkkqXJWpgS6qVILVPL3YDV@+9inAR%PC
zfO)a!;%!#cIgZU~=Gms{yG@qi#v~s=YZ9bUCKNIx8nraXA|o|^sf<P1KcXRLV4w*=
zy^jif&(gHX+F%2B$&b-OvC2j{Bh*w)Jzk&rs61`>$44@u^aZU0-!iWTX)f{7te7=_
z64E32Cb8-~_CuDv$=sH#PBYq4Tk_cJb{jc7VBx~Ztpec@ED-SCZC2FRU2C?)F1rs<
zny(AeZ(mkIw2r(kiXIF)>a>2jY|WXo59+75%g`}nEx++$0j%$W7l4l1{0+BjlON;a
z*sS6QH&=GA0ebMh7Yy{X{}NBl=uRpvKDncwD3#=JLxuYka_=6CU>|4--gC*p03JOk
zpDXl{rZG16VGluXdsE?_Xudyod-{SMHvBvSCR3^8-c_J?zv4#H_X%yZ3dk@>DR^=F
z#s{lTcq9%x9hp4X)yger6KC+_`CzFV9wQf5VrP0JK`ndDbX|zVteI7EhlJP$x1RI7
z^T4B5e%!5BU4{AsRY@<K^-P~9Hv)8LgyXVAFi_DxYjNFAxW;K9q@M|YnKte@_gn?(
zvW?tKv@ST&QzKUIj|*cYXV84ynhpS9ZZWJV=AmWQpXlm_$U#IiAAR!B-i?l=+wpf%
zEz@XEPgO^_wGFnXBg@uvIutU0zD@|VZTaq|X~24%2JI!6*EiPyZGgFdiIvN)V?T1i
z<j9{Qys@H}@|jRH=~6Mez+Shp6hxxoDt+(1s3Q@G3IfOw;x_#i=Udp@#rFZ8S4a5!
zu1RNpu<~?Jpk)(K&00lW9)Uh^g<e(<$_BkoUuEiKWhC2_sjC#_JLRHT`6Mg}LGu&8
zF|~}OT8>1zJOS4NkfcaoFi>@@^vNvwiCEFymPL1Z5><p-JF|)=VgyYU34Hxgt`xDw
zhn+SHBW7{-rkt=&Q-!pQmvv44a=uU<Tx2lEa9Q|N@u%zLrBhChS5a7oTF0Hf4=G3{
zqE?@!FV{Q~=LJrAqL|$?vD68vfeintwxYoHl1!~mx8V9u)!LkEiG2pI284fn?(aH5
z&UPi$bI?RBfqsNGDV40$DDshX$6FK0*fJ(7H5d7QH*RXu#x>-!W*%C_mI*Y-jj1&o
zqwas22Xvw8w184Y+iegfJ?ZSW@qHpaLeCD>j@4Yc2H1dP1SziZDJ>%xY284L63d$c
zkpRMTr|OAI8|u~_8q6V=_4rH+$QyC{?F|yX>*V&$YPk8#p4_`g4sK9`s!oAq#@K@&
z);tad05874C(!s~xIX~zL@m5sNwNK^siFNXG#9jI+>O^oMgu2d2MkpMF^%hrEP$Hn
zQV+|;V9XDVHNpjy=wBb*E3I8?4Z$`VOI5^!X6PM-eg4?#kJPXn;FLHF6w|Y~it85!
z#MSJdaGlFv?Tx%oE^Y?0ISMYwP%Wl+YuY@+sT}AJ7Y5K!ulv!yd-(KaUT!WZKRTKV
zc5|J(p~I4Ih!YS1fJO)9tykYfOI4^AxId&>2S`kl1>HmT2i^jDl2z(dhIv)5+s$r<
z+}uW*#m!$0C8e3A$j<Hi*#PtVh42of?fRWdF1)=bAJ^}fxXKM^30p9e>fm_9+wW-R
zQ>0T+FbGg^NvR}kprs+mac#Bowt`pk${wxiix1zH2xd>Is8F*}k;Q{bkq7rvU8Cp(
zoLHXr0tC>qyC+pK)TsMRWGMU^sefOk55fNWF#0-ma;$rJW%npY)e~3zOQ0?tZ??9P
z_!)l=&sX>)q&wx42J&aV&i8*wuC-!@iB*LiF$U~=b9QiFWhFz&?nDCMI)SFE{MsEx
z_8Ae$up~Kjj})l&2*BCaQ?}C$6eo+rNZ%$Up-Gv&E==sUh&Y}c?MxpZtYQ~>vz!((
zVyBXi7n1dSS8o{Zkx3jaJOc1Q%rdtVTm0z^f-35dR)*?*eNhn~jHfz1ld2g(nnU1(
z@23p{&u`zzUfxygr@i8gD~5fWj`S%XRt0HeH0PhJ&@)53@20)ch|yW8{z*vBQ4&L-
zS&x93*U+GFpt}p<M<7G^G6TvUi0qM^X^8qHj8@~fxaqs0Q*y>A&Ym?d%qE<cGss7!
zo+I#px?D(p=KF&Wr3yFQ<Bs1dzF(2SU-8x1Lm3daOT(DOg~=g9f*SX&@8)ObZxpkD
z_>R1X2ip5!bfRVAXlw#kK5CEY>w8x?vDYdm@zT9^Nk1+zu{qE1$Qp67*Nwg6{^JE6
z!KZSg>rS=T7pNe8&CCyq-M4hVTyI{0UJFSLA`Sl_O5O@`g{0%wC~f0)3x+57CBBK}
zE;ZvkQ8y=_Ggs003GY25;k-r3y+_Xt6A2qy4a%aL{TK}gT1kS7B+HH(6}Uy49?rTl
zE=T>D6#*N3Ljl3KB;1#}*!?2D><s#&XHiKZ9cD8o|E$qlwSwVkrwi}D&E2VhAt)e2
z)%K3+J-|8wt{gUTahq=6<Bj!vOL20~?d8TFKbQcPhr(d8By#Pl#37E-^k92scZ#k)
zD1~K(qzV_nxb{`6?h+m&XT87Bhvr<egaZ@<rLDr-w-%t`$~SczzmRtidt@KjvAVsW
zQu37tfj;J{pC5O}b)GVg@~gm)+$G6TzH6XrtMP?eB`&qIe1Ze*$W}0Lq>6|sOI>`R
zkB2umRpE2CExCcvIi5AQ7c-5M2hK>VzIb;3eyNP}esl@YUYq<E))3&$<u2<{Sk^aO
z?2RPC>L6zxW;dp12_B7AyPKXIAIWDO@ub%s{^SEd!IPa1KBb(u2^z+0J)Kt2gHsJJ
z2=hJ6;xwQ%tRrM7(Czw6n*1>Erp7|fWlE-RJxrHXYzB3gPFSjE5Wjlg{^z?1vB{%Y
z)}<>0v{gQ|Fhc;*1t9ji+@Q+E-0GOe3#IOi55HKpyY?mU7*|Rd$dBg2ADBO!#*ziL
z!<EwMC30ITLANeeJs>KQOz3#kK0V!G1uCBwAb>pGUu{%HTz>Y20yF&L=|#(qFZ=mp
zJ_johzZ;(_Q&&9GW73n2=`FT!ebx`H)6^m8QY$n&O3oT>(QIlfe?5F)%=che1=0ZE
zgPa;?BZYb_C?M4wp_wPYw8%@Cq1W$I1C@7}n6_6o)DWlrDOlJhD;=x!{fB`)rzDce
zIF7S56Tn(&BCP$-Ya#@c99Slvj;h;$3@B>L0>-9tepCBW@0!Wqz3ZUJ(YvK9SORvg
z_gt~hOJ)S}g1=Pb0HyP2xg7)#KjQCUhld}5D|w|{`J|Bc^s}M=6n{oso$^U}b%l)M
z14aK-`eT)0^_SR}ad+pkhgH{yfX`-<t}E_|+8jrs!qsGDBN@JO?4HA;tS}Rwp=q}E
zS9&7{5-!#Cm{d-(%n$}9?d+);RSjyG2x``LBCwAcow+SiC~u(UB%uYRa-Tnrl+K&C
zX`1GbojnLM_6VxEcz4G@Z01=ZW49waz3=a)(zO8JD$;t#me)he%tSMv;tYp`x&|M2
zta(b9=p*%XbeeW|D_3?Du6M>7IXUt7*`QFA5jAnf1Kb#obo1NEjWg*^-JmO*hsoKu
zR4aGfsHj$U+%<QMZa{y+#l&7OU$k51oc*3TXt9sgQ{+PsAf4@rA&y-U!9wmnZpzV)
zCy~UEpsfiBiPSMq1%ZqEqIvry4FL-*6NSd^zV1ye#RL&Ifyo>ts?krYUM&J0g>~=F
z*KDI+Z;K4NTx{KcaDwfIhY1poRo^h|2=>g)wC)a|ppvQUrq2viim=wFFL=HFAxqi+
zVefYL1HM$B0KwzuEi)JFJ-gXLhSfj%b@`O0UXCu9OR8rWmT+x@Ctj>vLr#Z_q-y3p
zKl#{YW3X}AcA`#ve$*uqfI+wzDK^8EDCHNgeBiK%<rg%y6?mL5Jtf5;n2S5f<{WuF
z+m|Dg9rNpv%t_Pof_X=W8UM4-`SpR;9(I|&H+ig@TdJJ(z3k4~tR5b={M22?_g$G=
zejm0qVW8hLOVEB}>l?NzwZgXGrY3xvpVY0o{*JMd!vw<7<vi-j;BiE;Qq#6WZcL}|
z#>-=dKCRs1KUB^%o}9_w&L{DEyD?JAGHm<Xy9F+uZqSqDr1&$wa;Nnfx?HcZBg}U}
zyCMmv<T%^j@53y0HL2X3p7|jsvS)ayNK}hNl6Z<3U=tAWB7BZFlI5!OwvRTtJ;yhs
z=wON&QE918PoJKHD5VJAd#thc5ew%JY%>3f&a5=l(4YY!x749=tlN&rbI@ppTb(9*
zvEbVKQ@(y&!bbQgS^z-8+x$Aj+ocjaBcVml+31$)^+8&xZc0RHkL|gMY(2jXrmYQ6
z1<E+F;wKnm{ioH&L&v2YkA@Va4-$YqbGb&DA(QcqyDi!{?8deJ+X+*6hL#_3mK?~K
zbK|G_<ufBBO7%`$?Yh?z&m(Dm%(H@f?2fqgU)8I>TAYST0Akq>@0~Hx=fBMox>=v!
zi5g_Z!1E}p9p78DBd3TI(ZZMBo=Iy4Dq<QVFA)y%P;sl3t{oDSraVRMmjtNf!ZwE;
zOB=NHhvU`#a1sHspy#@}2B<KboPU`~04mc;kF*um)72j-qb=gBib+Jz$W|&zV$TI=
zhdxm&STIm;Fn*-uz-7MY!RTUAJ5@Imr3isk{BTwr-LbFRvw$>Y#2SqBnwrpOy3eFL
zGNb}u4`GImB0yu$(!oZDR)mH47XECSzWSz|>jIInrh_i*hS{6>G_~DXm6hAoOF7R$
zhA!yqmAPe-PNVvhcQD>6C->}`DVIk9!2w|z-_C&elI>?c>=(FA^oL4j^z+@+ckqes
zIbjU^m0Z5o4?gb&#YlyWwMdlLmp<pC$ybz9K#y~GiB3cHTzX`@5mEuhpU>q4X@XW^
zwG7JZamsO_Z0g7kXB@w#UKt*3xgF$~O)JT!cL%5;lD^ZRru~m;spfB|O|``I)J(t3
zjq7ho&#=a%f8i~fiZs5)!kVE2ngpc{HNurvi|mOy6w67W82G*Ug>0wEhBIEvrp$y8
zb#59+gDFZpz`g!pY|7HUW?goD^~xQ$NjnEmMv2`<%BlUOLTta5VffFV=3Xl{hJ=tB
zppd1n`Ar2I$2GpBM)h@_g-~$Ogdk=QjWiINTQU@&F?}ex2r9@IMJM2mxYR<9Tc;Pu
zv2)W_LqyOWcqWNN%zT7={GF5VJw~Sh^!~lM(ER3g6C*v8iYE12ih~s}M^!c_HEjYG
zcm_0WMu;XoBaP!eZo2g0feHZ(+swXD6-ZWa@YzTxe%j0KwWyZdgfEs&?|rK0wcd=x
z-Wh*!bg;8CQ^^ppKpB8dQ$e!1YJe`@=f2GvZy|x73@HEr!g2-K*LpD<$o+_7ALjGZ
z1Y>s|b!x1Uf&>6xuTJe3!i25UPO04?a@GYBb=iA&KGVU%pY}eeb&P++K^QIr#fXCI
zPK=bCDnHo?6thVpwtUX0UL(M`skc{Ux}=>KBTXqzy}R?N`qyne_c2#}(Q5(5Q%YT#
z{qbah_sE$1dSb>tYA&&Z!-{4s93{=>R?U|U7kZjAJ()n6_=SSbq2+i>y3Q8>*iC=5
z9TSM(&_H&iUutEe>5J#Kh$&09^py(;J}<p)#q08}go}4gPzl9?!s?U)FC0G~8EU!W
zD_jYV)Bw8CwoR=v48+HHWMA&yA&^apB8#Q@jhva%Tn1gicyFJFaJ7q9=HGaG=*-Pt
zFyMC)PKXS=9J#nY6P1EAqi4TdLW`0kE2VFHmh#Hj<Dqbd_=HZbu&+TMJ_WNCuJjmb
zemY6U4{B6n03WxRN~lnUj-ZkyNX5(?z&aN!{O(=pXkh~`89G=+IE|if41tAm6#hmB
zrD7<{v3jjN-zWeY48q0bl32AEdF;^^^z654roi9jXPZr>$zpo|02?<fN3;msV*`R;
zs|x$`)%-G9?j6l*-}>k;_mE%o;#*CdyShr@Gh=k>*THR3w}63Np!GQ2;z7?(DN@X4
zl9K9~&hk!Bqwhd302O?)7Ls5bHzc6_l>m|yuX}Mk?49+MzUjyjmIu)?$0|RpJK?zZ
z+~&nT^3{)G!PK#?&8EdC<Z&A!C=lFf0T2-$`>p4i)5f{Mg(x66qRa|CAk1L7NpNBY
zy~#jtQ2?TpxN2@XnD&bfxYAu@pApy#K(#Sqi*54Cc;Ojw(<t{HO=zS`!%G(Q>reB|
z7x9MBt#7q7U#5!z_EH5f-H!M;!{`KdTM~HXn&goFz{!gffKmw!I5K?h&fKIpA7JdE
zc<Q&73J1FlSb!Kf2|}rKFNM6^5DAAs#y1NkG3^pQq`$;JLm=`b>IhXQKXvVQ)``GT
zj&UIx)4iutF!xm`8*+&Ze);XUvyuR$lCw-TPv{1Wf&I2X%;`K&0EN9-K#7huV}LZU
zCF$9(o)Tt2uju)g&4~);c)|-Hg&&DnY`!S)sXOy!?RgB`BKrazn;t;zya|B#NXPHb
zi(Id54tvME3<m3oeDEG)uKZ@I_zO6>1yXfn{;l|_Dv>4_3W_0m4R`|cC7!$@jvV!<
zvk(GlA;?XC&7GI|Fg~n_m5zcwlZwn^X<gN?X<F6Q@vU`ejFc%$ry5s4Fd0Yl^yUSy
z^i1Y&;@Wm)MR&Uav@<xc3rRfSSZv%LMHgv5`atZLHOme0%TX<okslwi1~ns4s&k--
zEL>Bxa6r_E2QdqBBaE-T3SmOal848H3=7~{S(2rB`iH`mheyNWcn&ls5I_q01Q-uc
zgBY3bel+<y=w^{n2P<32<wWZwgZk?GBRz;mNno}4)+UmVaZcYx^3Q+_hO5mS7<i&|
z!V7n1gND(17d{>CH|l=H^sgWDcj&NXO}tH)Q0Aaf2{WS)SSLqa21k(uc>M|$aql2V
zm-ksYp0+Ai|4?guHbM4x<P{D~zKj$XY|CZ;qd|ew$2fGEjwO=28Lq-YS~s@-g$ZJm
z8pqK3kSsu(!tAC$7Nq@!bi;)MjOkxmwu5^V(c2i|yatfHC;HoA2SyC3nfXA`!^DKi
zHwF#k0UHi~&p%I6vSy_s>YOWtxi7~)EWz$r1VkOmN#D+E2lpJZvf%_qlXS!Z`TW8t
zwP20jc1pTA5|p-Z%yEN;()iZVkyn^8`5J&BS^#Rgnpw~tI~eK%c)cQx=c*9~lSKLf
z3v@tIoPkg>=@LPf<8M|TiDKYkJa}HSxLQODd-bbQN8`a#KuIcn8(axVcI9<DG!>uK
zs>In4;bicdUrF7}mLMyFNAtju4T^y@@Yb%$e=y#2_;+cb=)_3gaP7uf17t_$r8hQA
zrq4AW!<DG10g#M_hWAkfZe0}FdqI1B_lICsk&oygHqAJ$-#>9`z3N9|1KfKW8rtNv
zLrn)`2sn3MjvvSm@a5ho`ND8bc~<kZ5JzbhYEW`}b1669X*=6EPX21MsTy%^IIT0t
zSYTY7<c7&Pw`4Zk@D6{+vVxKE^&4yL-Hi**S3n8&FqYLM4&C`V<)*?gTTJfA;c%`W
zo&gB)^D)o^Ujfqx{YDr0v^^79-~+X!#@v^ZNPJCj*FWa+YTnuqlO772qDO`Y*Z?>i
zAQkIKf+;{-W2RRYw_XD}4Yp7L!vX-z3<+s}c|^$vM38l<gvq}XSd|Dez@G%X5x;_G
z{Zy6|PR@CmBT&n8j@cxr1sF$!4S1*44hy^^*9;UVGuKZl0njr&7qhrH#{dK54<U`$
zsnFSHK%gEAAZHbzn0#&a(D?8C`BVISJSHt<HKy%wm5aBGGQ}Ez1jD$*+H4o#+s4oD
z7{j4y8y)&o`zNI<XE1Oa=q!PO6JkQU3<5cnW7ngeVRFJ}9tQ=3P$2_5cgTA-Wde{K
z=5<sPY2A5{42&5ll_l?lL<Do~5t*4?Q!;&k@nJ(6DSixww=!On*Da^>U8PfeCi3wO
z5-|5=SkhKZ>lO@s19V}@TZeo1fFlijCk`#kn>ZtE6JRU_>e0Y^4K2Y=Ba`qtgnQ<0
z5T(zF-&{B4XDnD8eohQ1Pz9sGZ30}r)Bnax$Q~z0H<?4vjPc)x&#lqQ&ftXr!-7AW
zLZ^J(`Ph!0I1<OC`$IrUz2?5c^R8X1WP8WTzeWQGcCK=*72Xklj~7w$hyrsTi%&UX
z_81<9_*K!Y`Y{06k6+j6nA-iP@0*Zx#`y9nP1xQ)zCYh<f_@>}TRRr722{c6gBErT
zr!or481U>!f+#>64TyI2%(Pdt{uTf=69u&XdyTfvEnspSa5Y9Kqy;Zsm%JSS_~89x
z_`8S3b>AC+<fD?An*qg+_`?E!;?QUCys0f1Mk9cCHmv|ccI2AhN~ZOf69H{({#}DB
zreNT7llPmfBq$(pJDdn%jsJ`T>E1nEZZHuy0$>-F{By+l_V^P4UsYnG_m=}*HU9f0
z{N!LA!LKjYhsY@axPre4lW+acx58%89k*ATSOMq!IS-zOKWBIi)J4~?Po6s*i2X%F
zEPEpW%lb(Aubt6b2x0K22L5&J1sMwBxYXE-v<3J%b9gfUMJ^jc5ZcCnq&ml{in|Dj
zvEF78R7WcP|EUf}VZY?2Os$lQZC2>ro)gvkYaxKYNbp>7`g?_8>bm2ESlm<rD1ynz
zeKl3w_UFXl&{En{HUm>dMk=$zGxK0{AY&G<ME@*=;O~WSNe@#)nEmCz&FHUv#A#6c
zeX{SO43I9iz;*M_A)PWC7(yu>Y7T06n?t;D#cluc7gf5)mh6_tl?i}Fy*{?;LnnDK
z-0iqL#1Cosq+h)j6<b48=+U3|Mv2|dcjtfQcr82+yhvb|$<UuQIt60?Fx&uvxEewN
z;4CA7pECk)#t#*nlHy^>YvyJ6nu<-aYgpeyEOJSA0;Kwl`mC}t@0}gr`s8lx=0;oS
zvz51gI48;M{=<pX;Al~6y6evBaz9QGe<ss!SwOH#;s5gn3WCXE6s{i@o@~{hF5X}2
zo>#3N@3fZhmezXhsyF4yUh+vWUCku%lqV@A>`S2Jp)v4CTroVHqT|1HiwIKrKY1d9
ziQL2R6DsL(20OmbT-l*O$@%!4E&&7Yu+Fp;Ja%0gz{UFR#XgjggK$!lA;*>sNFe~R
z_>R)V!SC4mFxj*hBK3Qnsq<$co;$yq(Srt|grw(-7EdLINq}xHNKs<q{afJJynZ52
zp~_|V!ek3sbF@8r2BM|sBs03I_xxvc=3l4G4g>9iMXqbn{9y{Pki|^Pf&qK41w}&w
zBWkK(03wz8nA6DGI(Nk#!1$6tL|x_|XYZ&}ulNEH1e;Hq^-M6{Z+BE4l?MS(Zt8_h
z+r>r!$Qxy@x>c>ZdIpQFrX3MXzWpxDGOj;(!t?X0KNj!M-NjM*2DS6mGim9&MlX0O
zDk{=5Gglnds^$<up6Ka8x9X;+rN<?|z&q{=@Hc`XHs5{^vdH_c`r^>>9_Q6FM#ZXh
zCk7%yVS2ZRw-4;sjymCabolvPF*~A|{D%Z|Fb8li?Xwn|kUWVWtRWe#aHu#M->KUX
z$KORUnGX}zj(6%M=Tlt1EH7VU>mdey2Z&4$`>iZx9x07l-z4L>UmtV1L3`n?%#c@s
zk4%pomAxG7n>i6(i3Zza_MP}`8SEZg#Pw55OhZd=r+AKrHvF|Y&e--k-{a@qo=JAN
zbyCUQGvmkG6{aR81j+k-S#WXjv2DQ&)i#x$%Ca&dNanZqSF^d1-%R5)$R;MBy$;lP
zbWonb;wMi{5;wCyDYB!^5!Gw$;b$TT50rk!d44b+V1Gf5a-Z;a$2#mEt@<+8Z|T<i
z7Z>w;?e`|P#PI0a`q~4>c;&&bYNy{bZNkZNzunjh|5682(!pe?7{B+jYBnO^GWT}p
z@0T2&hf2!QQR{IsGb2hq-ptY`4~*4wJ_nhM(Y1eiFy1LL0fkg<epjr1_VHAhyta_v
zakagHD8H3M$f5H$Cog7Y`D2+6CrL9?)4<s4-(%~jbJWS0K{P^%XOL22_iEjKf8kV^
zU{`|-oqpfXv{UiJ&Z&<403cBx)$PHLkH*s==}o3lc*FiwZk3KKXy<OdAS7KYuc)O!
z>rliRcyQHiqYKeT9e7HDIn)n#BCgyy{XKqirz22-u$Wia^80tm?${1^W#!pCct=hp
zXv?c$lgp4b(1<MfRq2i09ZwW)|Cz9S$bVnQEK7gv`}Yiy0d`t0L}leq|96}R?nl6R
z0HoKsuJUyP$mHa5$imV?{KfQChQ|p>cax!F_1zd?9`h-W>pjO@2XUX5K85ZEoj$NY
zI|@37C>8XWp#D+Y(vHbgrza3uipgB71QtQgz`wFQ5B9e#7fX<PCa<F&9vV&ZukNB~
z{9AW%L@ODAqKZv)v-K;C`CrSSx1eY&{Yz_oe%U`4N%PNHm;bFn^c!`Mdf5X#R-gsv
zzp7M&@{cNAAnP6$G`FrW$iMZ?_9;%_f&YK#h5Msl^>O%;p1nc7=B>GWQloVwh}i!T
zQ28EzD_$*zu1pAo{NJ6~kp0<NuSS5g4$i6gI~)P~R~cxEBbF@j+sMoVWirJhccpj!
zJFd^a<9_}6-=(90R5+#30(al(HSQ00{kvoTCUe>w6t}AWvLgWZ*^vBaB~Kv@#m(Gx
zC-Ynoko~nh$HM=IKYI!PGv#HOmgFnicL6jP-UOb$_|HS+sz(x#Q(n*%0bO4Xrzz%4
z2hEBf$^AJHxKiP%F$)IOzkW)x^N_U@12<v1D}UP~;o$CdI>P6!iP}X3$j}1_XsbIZ
zf3!Qam-X+33<6igf%n-z3&d>F|HFuX=+Ex_=h43(fh*16t;9dS{)=Z@|EA+V4@I6@
zyZ?RYTHrr)|Fe<%=l`7ZKZ6A`{i9+2j6@~&$DTQz2tVHcg$n`%^YcmJ966y6&=&tD
z-nk=;$(J~l`Tt5{O%9*cr!pEE=<2|xzsYcV4jnqL@IID*&H#M)fA|;-)&bBUlzIPK
zpySS%JBU^qbtj4Mq74s(^qzGJ9ZB2@Fm{PxmW*)lnr1vz?pT;7R8UZmo`IneA6XZv
z!BL2=)@+RUSb~TJew;NB?xf;)l=NkD^H$PM%^VKzJ`QO%8SSpn;qjUkOm3_{UaFt^
zmLiR}g@9g*aIf1)94awa<U3XhFlIYGUOj;UYsvQ<Xk9!fiQ4FvoY?fP!va*<-GPca
z|8Ae{Qsm?d(#O29{Gj&$_%-vY$6$4lF@|LQnU{lLhfzu{cimQj0}h`Mu(msmGIesg
zxHMRZHILOlZD3@#!va)0=0Zqru5~?S>gW%Tr2-^|aokUd{S{r^nm;FP=<cjYeK01F
za(c&Sb>|P_BCxgn>UTry8?X}F{I+ACY4F;r1&ei>|Hk44%-4Y2+}-y2L&aW;dsTWZ
z6e2(T@Tm$~2G6f={~8O$e-@eW66_M2W5S=pJ>dkQTI|VT@(GpUZWCRR=Z?LeYrlr5
z(-aZtvE=aa$<3*a<P$`>!^HS>eZ27iFQw!m++e#TmL*ytMUS_F2DS%muf}@-A{57b
z%pw7D08Ez#3Mzkpy`gfG)@ka?xgSp0E69_B2~;Rw9X(`X6e<|>14P?)zi>#r$jRYC
z08?HzN4*J{ZO?u<xAOpM>;fy5Zh5$r6oNmWCy%wnwmkH`yPhSbC3$ZTFA`EBuGZBR
z6@4`D-s)dGK04^nO7h4>$$^7eH$2%gT(qkg8`$2u^Q%&NtlqcYqwRWZcE7cT*HPig
zeqq13=XUn0@5#YK$rE6q8IF}&qV{`GK7E^8%qP3p#UydhKEvamhQhU7JM|~tu7C{}
zmkdw#gHC|6`~w(gQPJS{r7fC5r2l?({XzBV7phn5MmGh$P=XzkYi*BwR8I$$^WBuQ
z2Aq80Q)@tXf;VJILa8{Evn>-{WA;M<1s9u|UM_ehgM;WhU6jvGb@L#wWa(us`aKcj
zcy5>q=5Pd|dXv@h+NmXJX=!9{!uV^C+K2@E&pD?XcG~LKn*OfHXLqpQOlKI@&RY%L
z*w{eMrvyT*zJ~C5;mGma-L5-svcFeR^Yip{o9OC{_HQ5U+!<d#ZzjO7zLodsGZ~(V
z@G&VSF=w_#$xvf@MhS2%Q;~A8#*?G^6S_9Dl9hwg9X`%cUlZ}&5CN|W`SB#>al>|!
za>lJdj=Bm4i#1WNT>ukF%Ud}~0HvUKU$@g?DM1Bs+~0f(0bhppcIEOR#{Y`z7uJ*j
zm}WE}Q(6`XQ7JiEHA<a;%=CL7M4bre43I2j{x26S$^8lN@S}*mnYW@Io7ubjfVk{+
zmOmM~kt7h)4kP+Z&mX=gN2k!j6}2mNLui}WmF_k1F8C`9Fe$_K_MRi=#Jcb0^*4db
z&BMc^i4$>&ovLmec=0onf8wcvvKuXDNmQN&QNxz+-=h{hCje)hfy5g6h(W;n9`Mw%
zKd_w%1p57ipXj`gkC#e$Y?W|<A4<g+!6f$b1jvaNkPx#Lk#aE5wrY;Ii}z*|oWMqG
zhl<YpbY{Q{A;4C)(e$@u*N_eHu?)>T9R7uN9MHDJQ8?_Lj8-SV$sQ05n||~vB&?j1
z@dkUwJ81KlV+9uKDHC|;+0qhtC>*14)!I0eHmcv6iRP)Xlx+NC-t@ax#<EYE&fXiz
zb><{fI#-awl=v&vv&;4HS#@k?&GeCv5$#5u<)nD%Tt~<1hmAW~vttoqgelW|8*@=?
zq0Onao;&gN_2I>-sn;~r)#a~^-sRLOw|)Qh>sNI(HP%4P#c$K=0MMM9lk*$61G7as
zK}vb{K}CkF#q4!l!2G;bI0|*rb^XjPotH%N*Y<WHe*Tn_5`hiU;K<SW`FSx(%P>Z)
zpYLaJEaBv!^X){BqkZ(RA60^L%uqrGQYma}YY<ybRh2du7nikzgO-U&DhVm6E3S!H
zNJxl_msgpXnAnW*tcr|`Oh|aRhK5G8j;?O!I*)ESr-;a4&5htN!nmhB6V?=0UG|QA
zG&D7H3jrR;-rh*P?}-%OxrRsctE*aSYHzzfh?yGHLa%OmA8bF2qK3gf?eBYJWMpu0
zb1Udp*hlv+ylXb;*;*Q;Lq<b<WcBqE!Co{}Ra1ZcvacGmAFFw;W?1i|VQicNLm-R3
zDH5$Qqvy#{lDDOQgRHOTg#koGj)y+=UCEM#U0uom3H}isp8+&Z#Q9EXcUU96NW_^F
z7taXNhC+TZv7E1873_wJ?lm_zOa4d##K5!~gZr=MCp`vu?7MgAm6f3K5wtiAkF>i=
zB<^$ggf~`E4h7S2aw^s=&@oTav$C~SfAS=b*Rbwp@TvozAi4$N<ClPRP<Z%|B90LT
ziy2(f(9szo$cHv~;g^+oCo3Z2{Lk6h+{{c_TE)rdm(nKMHzibi8KztK8?4b^ElL+U
z6GY;{k85aFkBG%5pCX7)(%_QNGqH_>AxEHC9;kYI*IuHcx*q9tm70x>O+LOJZWQLb
z_uGHf0W8yN_i@y_$Vh&hE{jqw7M6R2goOKtdx8w4@b=XDDJPH{6ICZ^=fG~-F+|eP
zlwjb}(bm=zeM4(@nXtlbMW?x?<?D)D`_dLk$MaePaN-5prLuWig~HehhY9<x&c5DW
z*5K(gYkBwY-{<7xbLfg)pJTmoL-G0Z=Ov>nW=v;UWcjClw#Syv0yadzQ2Cm9F?@!~
z<u5MGZ0xZ;NJ~q5)`g0Q_-azji9mb+Ok>_d2XkK@N&$!M>gHzc==hC^nVDJ3)HJOL
zgIQoCJ(Q!b&~kTiX~j9tFZSncNO+mFMP0v*T>DsKP<Z+BWrA7o*UXkjbaFB?+`h*B
zc4B;792{F+UA?urpk{7i@zuV9^m!pfUe(MjJvT3J&dYA3>_L<Zkb@dpS~tYR-iHyg
zut`W5ynp{5jHK%6>DllDZ8LaFSU7We+1B6RA5VR|@fz*#JEZcRw#IHt13b09Ck6`(
z3n4*4SEnHs+P^#JNos?(wzn7ia@4?oegiUwnuaFh(<k0q?*mO58k*bBf6qwqUG!s%
zZO{1p`L=ceKmehQe}qloy>mym4fLa_OBND$o(VFjL8f$cC}pIlTNxSMMZv_sw}dnH
zfB&A^+S=;Zt)-!nQ(LPKESEvxY`cX(<OA;z{>>>UDA1{}A9EPig81g-=l6k}v;KjB
z%*{=gXW)!eFrfSB8V+-rfuZNuSaqi^AK0XM#VB}$J)x65*p@KG!rEE^i(=L?G)y)z
zF?kmqospp!8_$3W3+oGK6zQO~Fk@<PISFk_V*~n835`ZCuC5Nw%%n#}MY#aO;^)lF
z&CTzS!!}Nd!$iec-UX1*HhZwX?o_46>+0&d0PLocVOwWWCT<=cp#;rGb2|t4O#xSp
zjg^(WW}e0!_g{U(rIs{+^qbxUYo;4Cu<HWnUq`vGj^~t@Yl@4D@9(asY34sk$<MzT
z9TUUN&dzS6TSD<VCOG(<kch|<usuAs7NY^v;nyD-nGzLssZ^x&MHnIc&;j^r|N8Ms
zmYJBo_}Ax#RXO0FJ^i`+O$ABx*T)Mk)UY#ueI&Z#FZb6c$i4rAkB%{SsW6J)SI7o|
QR|w>RjPm_YQbsTT2Y{OPp#T5?

literal 110394
zcmd?RXH=72*EJd|DosH;1Qi67-lPRkKsqW>qy>;Jy+i1z5JXC(cTo|fBUO5b(2Mjg
zgd#>tKp^yQNALG}?st4=jPvvSIAb6(;7YEw_g-tRx#n6|LLNO(BEQ6V2?BwTt0*hL
zA&_%W2;|i9h4bJy`%kDwz<(01_jOz!J6O1S7(1IoG>lyxZ5>=~txT@Dn>)K$IoJ#H
zN$?5rTzl^7>gXcL&u{mi3-}zIE%~oMI5Q63<f5apt_uW0X-xcgDoggW7335IqM~r`
z2{PqZt!E0Gw&(g0_iFyyyL@j8Tl8w8;4|A-y4`iC%NNd4@zL?=&$qM{y`Ya0^OUEW
zU#N?p3Zy?RR@rz;ovfwt!3FVCWEMq@dFN}^caSwbb-Q)X<9{B>Z>LDQx#m2%sTHgG
zbNOJ8fPH6Q_Jmg}RdU(GuWwyYeNd!PfUNmnU(`3U@3BJu{hMZibP`hZ|GKC-kmCQ-
z-#oDBClTOUT8bO6Cg10xM_r_DhGb@P2uf9x4Kn{85Fn%G@bMMy{?Rll)*N=nCtSGu
zx!kC`*ht>S^Q7<h(8h{a>*^RRT<37f#)@>rA4}(KQjAA95Y|2a+KOfY^&ek0+W&v@
z8+JM5;j;g+CG2SBA!ab`*mcT#y_QARNLROUG2SS`=y=hnO*m~&y=H&7uni-#BbZlE
z(B}W;fBS{2`S&JlI$GupcR|JJRuj#GEqHd|R-Y`Zwvn%BuQ-+rft(8(t90S4+X&+S
z{*sjMZkb;A-fISwG5vqPRunDX@*5V8;y+OOUa(B_y;JTm8{y!CWnw|^O)bj=8&tc`
zMXB*MlE@P7;g25r%u`qV%*l1!9@fUzuKPNq1pn_ttlOKcKjQW|n4E2?a>L=b3;jtd
z5d~O5Rzicf<9e+}s6P|x1s?D8Ys&My;ck`KyoSU6x^hMew28ZbK;pC4b%G-0uc4<i
zI;@LWhPnQ@##ggpK+nWIA8K?cbjNn=^8V~n>s=PKwxQ=usP`|y!`0bi-ft_em_Cic
z7PnD@V3VTPYW%fB_!98_YOBeWQ3DSHL~z%C{EGcG=3(AEzx`NHx?1c#)=SL-VcZ$t
zZu=3M*FhZe@bb=omOYAG#?J2bZsFHFj9$*}rG{=4$JbJ!Wsm7)@F89JkcWsF{Mc^I
zGTe5y?#w7+iyyfV8O$PUQ>I5~SCR>Ht_+hs8tgKmV|j5(63XiJ<2u4~F_!R3mT(5P
zo&9iF#$tV@R^0DU-0*la-Xq3@F7$qi$BbviVw}F?Li?2zpUsXJhO+__CxT?clKrAR
zqj#Fap#KwMgOuz0^9B$Ib;Dx4)6O$W)Iigycr!$7_E0*e%e-bQwLYlOXHl(U4u!)f
zjUHNKus<aCdS+p)j~@@tACOQ&8-nPLIqLR$3bBV<{0-%HpWmd>T=G0@HS(da-}SB!
zt=~(g!~zG@o69^zpH$H9&ieDuY@lWvxDD}YAC5Kr3RhlSK$q!}`|nu#qe^-uN$HGy
zig4JS)kzY_SdnS)&a#yIuLj<)Q!i`1chA#8#q5&Eej`!FsNn2d#PEOeKS+@Ho+s|-
zJTBAtnO9QZ2lnPs@shYod>hl-4zrDedjDHHtKL*!r`?%yhHu(VmiOQ*Y|D8E?IuL#
z=m#@D_cf9l5#$aD7}>T+wu6mdmQrGRek<{YFGKn3=+lmVSvvKIrZuM>ji=2OVW7>+
zG9EV{$n2RNZX5a2Q&Uq9oP1zBe*<=ml|5$LS(^?m^xMvzpt3RX^kje_W|{YoJ3Cds
zn<gadE9TM=M(I&10;qv^{oTEM%_1beB4o{h7ma4ggsV2TdwzG4Q$lHs9$Gw3NYsUX
z9}uwL5be!#+xg{5wL9a@Z@3v1f2tj;?YHPgXyx~NVN-ZS<+tmRDy{Z&`#j{Cz5O|q
zrsHAWQ=5~#Cpk8lYL8l+oX^RD81`pwVVg_Zf!yJs?2%FK*Ul4#43m%WiymR0Y^s@x
zNYT4fE|h-)`wS}q(hJ+_t}rru_WuO9iSG};7wO`+t;-shA2tE()fCjAj#U(5F%D9{
zq^P_HnLS+Eh6Ie(u8|99e2*>k5p8ReK{@#1k}Ecv)R=orelThl#=jz={66EouE-JH
zIBqE`@6Bs2r2EHd);;@z2w)q}3|WiTEb=-uZ@t@XdSU2YbO{}<c!qVqKX~K!XIU0-
znRk_ppL213N|glT%E7DRP@(_8*{it$?2e>U*$DIZNRUsi4vIM8{ilKtDEZ0vAC<xm
zV%#czruMDr``C&wR^ZzlOnrQq3z4n4kW%lsn$6h4rf@Mo5)eXChJ+?MkHeYxI#=Gd
zwzhujGRI$InnWkLTZw2Rk=Y1NcsKKF-^=oyC#~P2wqYof!y&~T`>8-R{v-c=$zy@n
zT1cK))v;<1e#rO4KA+4T!F41?3Ia*nANsrz^BHyy(z2e_zdJ2-?LR1*FwiWb(H&<!
zKg$CX>fR`#-6uZ+3vOy^g83bdo-l3h)ew$xMkk6>NUVorGx?}Z5axt{wvnpaRr3GM
ziNxv8&h2@5@2)jc`V-DT8V(Pc*XmCUSGO=Kc}=E#@y#a$))V=I5~=kXYH(F+uF;XT
z?L_It$#T2q2o|X?=3TT?zPr<0v8oZhBN@O!W_`sTNN*1{gq!~d<`d@9XKd#}J(wGW
zA0#Q%T8&b~=^)J#J~RoCA+~!h(LUMR<YGQ&?&?2}@toN*eBG1$^?RJYUsy)Q{XG4z
zGx#lB;R#=6W~OHT(~W+4%K3EGBO9O1Xn*wMhte$kUIS{Sg~QK9HX_l7{6jd=!vWT#
zi!$5U{w+$f`=b?0N&Miv9Ale+M+C{8V%=+3DwRFx50(i8_%IKW2>-jSl;zj!^{aLc
z&7WnqZ~5#GrnUW(Z~XTM!OD=c2Qzfr#=`$`n2X<Sc3B%^WhY1RM^VGBFN_oB0JRD;
zpJt+<l)^-?w6b_iU4jrANT#so9cu7W$jQl>>?2(nqXy4qX;#(~g6#ZD(wUGh{*ze(
z`h>uEDM$`uT3EYd{cB=dU}k^hD>mQ3m!xx1sGw#u&9Rl{B!JTQhd*jdX}jTWl^)65
zd?<fgkJxNjZb8+hYWLM9iRF}6!K{AtU#FZ&d!=^~2*<{AuVfVdlV&;2L#2vxj%4EX
zgvp{s>b6pufNyT(SxS?9POGcMF85eagM>p)L~Vm0C6j|47G#(H42p>4gih^amijFz
zItjnyG1F?N?cucM?9cB|vj?@Z5J(Nqpguh9a6#!0;OA%`T{1kJk4Nod&RxSdnHK4^
zl#LpO68VAHv@5lJ_39nlnHmN<1J^4vC&#-sT896z(Bk)_Y0b|L%+1GpLQicp5;7U|
z==4y=34Q_^)U*2|V#f66kLUSi!t5p=49l!Fyf{K`G#=pF*(kAjCB1l`-mSj+%cDjo
zT0Sdkqw`?%s=3k%MsbAX`aPrPWqK9AicfC37Q0G@*B^FKVw*_)N&R;{SR3i;35zd8
zEFZY}E5m$#r?a-MO;@v+kF+c-u=7>_5<2{$B-`|gQsy=5@kTJAMD{><&Eh|NqXd;D
zmg?yUY(4`K(c`d&FR?WXbYH8)6-a?JdL4E!-seWca_T#|1A!dUKrV)u-If5ks402&
zQ1(krO(4Jj-fZix?8#o=d<Z8LBQ=B9M~;-d!xB;lAI`o|<J*&Fmh~e8dwa67ie8Cs
zx$rMqj&1d+TqEpSF}1afrfjtfsKc*aj|{vo_6JmaWYFvWCyGyUV+;BY^y{~!xUOFM
zbBbzeYGBt$HZu4PUa?5I&(DW$OFx>yN6fZVF3T{@9`A_ZLye}W4$&*r%_2RbmAoQS
z)nQMCk~sy*2H8-j)E_=Hv9MsUaWOMZ7ziqKK&_+&IkTJ(*ft%%$NJ_>U0vd}n&qzD
zxp%KZ=V$#lI#UVDY3uSCfFStoo)g!ix{+ws0JuUJhpU~(E0+IRjqv;sBX7;lV10v)
z%n_-GUd^T@Dt-^%gI`|>VQ$-69XU7k40s8L=YQEbTQ5E~hfp=~%n8L{xTMw#$7P#P
zU@P656RG}GDj~0el>Tun1}8@NV7R2%_h+aW#jX~U)<mqhv@t0<Hw6#4ezZ7%p}#1V
zaOLxjN@gYv3Q0>;^tp^8vVM0M?f9RIbc9~XK>o*3Ki==H%Pqo2GQhcJonY~83No)u
z?u5Gq?VOx?7DT*lLQ7*4aD+cl5hh+to!1+oWTE`Q2a_M|d5Ck6rn}V~U`+q9l1vH;
zFg)tN)t2zQc#x7iOsM(dMRf8T-K#wDY>@0qGD{f9Q|#ou|25RIjPD{ke?bb$DqHjh
zJ@uO_f?vB@HbGaoTbBXN6e@w)RYBJLq&vW8R8zM4A%G=eQXn_{1+VVckK=@)OdWL4
zdgt})K1VOo2|LXg=2@cxk&Utg^mlsFC>yFy<dk@vn@?I&7o=hKWFtfe9RfHz9`&zn
zU4Y{hx%V<ga))>DeA=tu#;Ym$z7MDEOC0Zbqvz86sw^J`x3#o5XS_J6*%hEwb?3y5
z50`ILSRrVjsTWOpu8U*9@<%TH%P{OO>r@{M8%w&+lu_;aYl7D-;?|C-$^7Exx-1Gk
zeJFl>hzf4qeUMiggz3S0VoaGjC3?tX!1+a;`A>x^JRkG3+{KYTsq0Cev*UQSZo#C<
zH<QX4yj1sdeC;$R1mXeJxjLI%#Ec%K?hV6er%8l&)U0|jpV#IG;j8!JUu$H}7?J;e
zKG!M`W8Hl0RsJN{s<=X=b3r&&ZJ5CscDo5%zHLf4J}|m*EKODbpe&*6^uO#7SIdv)
z9}9uws(4`K%tnPzl3D68VHB;l6Zmznk|58n6-nuLIHXUfz*`lD5z}b@2#{a$X#VAq
zO70XC^2Y{RIHW67Oq9`BF<LPDv0M5$RhkEf`Lo(@!%6L#DoFKXiCzJ+lBdt+BL69@
z6jSDCpsTi>Z*IVPzifzqd+U7#@*r>Imk$Qd3`c!9N<~!F)-1wpfW-?9|8mw0U@1pE
z*>D$LdEEaOlG*NQPWcZXpUT^tEW>R=LJVq1W|T{cF}+3pzh4D5aiO{~tFk*s5eYN*
zJq3}1DzWGyVdaR{iyinMiV<r0;H0Vk?da_{yTYGtPCsK8io<CP)FxHwIg|tf-;dxM
zR_q!$yE5iXBh0M@X;=!W!L6JBjY9GN6@}^MNnE3LBs%$#K4Ln<&Ut0s?&VmWJG?FJ
zcEE7YIBqvgJ(^crvwZ$^4KsQOVL^|m1p#1lj+Pj8#E`cLjC7$o_5PhB#x&jh<1H4f
zb$$p!@+QI-VJ*GSqn*0^t7tLj^1E6gs7n*Row!Tt@PBP_0>zx*+{dt=?L5Ot^nDqv
z^<VQ@&opF=q<0s`tX~ih!tg?y*of)2nVs@q_guLOjppriy@V!zg4-!xTyR?rtKW+%
zVUA~DiQ~4L6HLDI$RTM=)`<4yo)r@Y;m_aIL!?nuBx3RZ9B#rDi?TKFF7N!ct;EqD
zWg}N-yE4hI^6r|tT`0btICBkymC)ym6q;DRn{Ra^`Htf^v&QY+u|G%#`<HVmu01D*
zga?wMMemE;9!`=o>$Zg7!0@k}zC9?#4zp+M3$c)cIQ~QletL`ohwyj`0XB`p>R%`v
zHZ{PgT*s7`;{=;%GG(k(_r92Z=Yz3gFpU~ArTcS{?_*6L|7xW~QHYbhW40*RK<9sN
zAnHc%&1v$?9^{ZX^b~D^Vr<5xi)dZj+2^F_&uT`v?|=QX@z47I9+;+DuGV!St0!0I
zoV0k$ddHef^T*|`C!ZJAdz8Ixc0D}%<8*6PGB)y$!$pz&0ocE<TycbP)Z7Za&Dg<!
z231F5%&9kfYWuTIzflI(sf`qsLtfGKaNPMnub}!Dm^5WAwr>YYL8VmlaT<{a310(m
zRyV2_pU`HCDP+4f-h#cGX~icPV~E}{|HoqD{ZI_X?f8T{0hx)1h?bnpp{g6PdS~n`
z^)m)cFxc1doU))LlRK}-TX~MZ$4VI|H7I8P(j)PJS%NYT`d>V}AaDNJv{K}0PEU*2
z%%dPo)VE>AXD_UVBGquGzJE1xOe&o1a{jZe|Le|KrB%;Gja902mU&?l5lYwg{7DCy
ztgUK|Dk?z$sBix32<U%WOIut-TgT%*-TQcDaXZ#J{K1^y^l{>CxKR2FLQP3yT<$`k
zhF8QbA~L@GFESc)VV%^)iJtuSM`?D#x&B_Hs|{cD?;6!iu_qtK`5DyS7L;5AOevcF
zug5)0>M#r>W}sU6wZbBVK2p6(N9p4rs;GQpY|T2KzpUU6;aK!dR!`tz(|8)VuH#P%
zPY~^0ob@JiIG$S7DG)jD%SBwl*+=Q*ok(>rm&7DTSh*B^7X$hnfDTxumAeS_CTS`i
zIbWFt*h;cLTbbun=XG+0*)V5*l9Kfd#K&?}aLVnO@fVU-kfH+>(-*smws10|;n{9M
z)p~^t3tRzm=!_B3f4_+UWP-FhU5)0@e|82i$Pu<zGR(wiU=PF!iZSyw=D7JV<->8-
z=|RpK9mr1wBRm4(%rVOs&(c9F|F!ED<ZK>ict?{H_(xAcN^(U@#diT@Td+S$?h?^>
zpZLrewWh(ui(!K}`NOOAO0Z79-}lMdK@wfRELz8@ZTuHSZ4wr9QgIb}HXqF-RMqeL
z5IHHC7<<#(jSK8jXV8c+>OHdJxCU_}c%ae%0(CA^GabIpJ9{NS+$iduX(z}Qaev&v
zg1qF0XiTC({s+X@Rz=+yA{Ro@Q89!{=(npBv#E>Fs(e<EPpO3GAJs-I34v8HT9a&D
zbKK$lk0*gOg@$rIwWf$?^QZ*d&Ook=<S`3YK-x|;4OZNY11@Okl4$+%gd$Un3tL1t
zH{cH2^aRCH^wmGEq1z0wGKb3n?%zgS1V4Mz!ngB6w>lNo3m(5!&38$>`lgaB!2Rrn
zXJSkr;5f;6Jv4Ky3^Q8Sy@|++DE?sUhyZs~g?Ncxvugf_BL+aeglpbn1*3&fO;<SL
zCps7BeoF@=cZCTV$LMkH9Re$LZT{d`2`bVcJUlKWT}^AX53D_5u9X)0SUxgbXX`SQ
zRM(zQ_$L6FjU^!ldp_{4|IkI<<}8VbgXONBzMQGyByfONpX;m@+D_cHxWH_DGj~Au
zdNM5oy5%>L0wOi3$Z#EI@y7|ex&CC$Zbn5Ky4{}mmQn6MkZQsHRxRH}{*kqYCTsLw
z*bi%R$V$wM@cW-PbnL#A*bTj35<2(i?!r|6*sSToOv(48W%Q4LEzJ0KBjG^?)vQnY
zxKNRv4e3Mbz0&j{uPr2nRjx$DbH3)&gYEYsFf)Oeo%Pc0oyr#CHbei}HpBTFe;7;p
zsgSVo(rE-oc1Bh%Jh~(V(WYr#>v@B}jy3`lc+8@{9yowF|4b9CmgCkxW?Xl2>g?=}
znkyIqQJH=(eVF!{(5*9xPdfJvg{GfzKRv4~6D`LVEhiX%MRrosYBqNaFJATJXRTQL
zbz>Igf?SZ$Eb{+w<!(k)OY7jBtCD_g5kv+((BKZsd|RX%8?A>@-F+A0qwg4_mj6|~
zGeW7Wvcn)>DMFPsLP@gz#X^-Akwh~7jdbIz-0f_pHpE{~5_5K8=u}oOzz$GBc^e1H
zh9u>C%ykfqqFI&d{7vb`^nc3=<NsNWWk)t62CJGsj+Z8~1HyBi)9M^{q-Yg4*qexv
zb6t2Yx3U?b>#=&AH7XQ?Qb%U6(?0fKFWJfe*-Q6qx6jx}VIsd!JmV~8@wkJ(EHeyq
zk$ch!=0J+p=d7&k)_ZR>7b&Ul@&~qs+FkvXE1u+P9Uje|NJD)#?){qlN*Nj&s`J&J
z<$=_yNDWbuNS^u4VOFAxS<lPM`wpb`1`V<4Kx)nh&${Axk<&QCU`n6wXXsg3(FYHo
zf$+PS6HaR#$8=ZQx)yHt-aJW}K@s!UwT-#d^0!hWlnk;(;|C+4<s0-hm1NJv60E*p
z0Sa+kX<0)e3=CT1>we#)N4?Ol{i%iAt)2}ZtyvN!ip9iwxMtmVT|U?R;WgC^s$SU>
zAB6ArusAkM*l{k1&Sbea6{ufz0i=8tkYQ`lHQ5(LY<n+cbEe@IPEsvjpX1TIGm&$C
z2tJ#jKA~KL9kAycq)jzjeO{6|lmy}v$_}I5=P9!g;{os@^m-a!VcdLv%5yojebG5$
zU5t^u=3sigji~H`s+bcwoNIUvLioR$1cd*)N#K7PBrxSi*<bIs%H0WaGu@wTR4u!X
z-~^7_?Fj#RXIuD|KGL={>Q*Np5}(}GC2YFRmIEyUP%wpyypRQ<r`k5O@u&#Z+7KpI
ziHP`A!Jrj90@HV3#doH3S#)y?_<_Kyo9-CX+p#|{vz)pX-SNGw(3cnTY_`r90s(U3
zwA<(h9iI7bYW!}nWAObxkVZhefbQrXV2EMY76LjlAG0hD;qo8(>p_T#vN?1Wsjkw5
zy@qaQ0lpirGRM8{Cv$w<)8`0_U_m!`(a4U!s;^uTtXc2cwesg<Mvp^-lyViS;ma<s
zz;Rw=&#Y9>9d3H)zyBE0kZAetB7`U_MzG38Z1qY}wwes!37}U&{F#J;xgnBG$wZb|
z!Wai5ZY*5u$gsl~Ju|m1iVg&aSYcJJ{-~^27%P~FJy7kr1v`DWQ{WjFlNmegPS3)U
zmXMd<Zvq)utdH)&mTFp$x$>91FI>d*f8qR7S?%26jqyG|+Dt1GW8+ixK!x5|h<-TF
z>)=UB6sI9yQqe%L@0S6xnUrG}@7HI<?!?|g^qJZ^<I)pTdJEV0Hc5qc{$mCY$mtcO
zT53mZ`3cH_d0+Jo{e(gSh&lwh?z3+5UvONU6~~fSRG~vBGKJ@pH2NWJ24fFx@yZNi
zqyS!i`PzHdK|4(PuEclLD$<r?iP;FZA)R8ZNL@eryCD$cRU6^I|Jk4F<PO;xqC#~H
zlsO$A2cjY`ASn33m*TG|KRR1#CA6^)atyP&27Y@r7#}MMdH+_;)XR%%&sL9za7iLJ
z`G>-(!9ieN#|vQI#Wv>*zPgzzPnNdO)%JA6_4o?BueCLmRxXdv<dRAs)<!wvFl76_
z?U30yp$_)6F35AS3&Xx`ZZ@W_xZes7mw$NWUewHdt1%@}H!|lf-khg#o&y$vMw{-g
zO#^X@7@d9_uUNmc9?!9YCfDwKPHurS4O6p;y*<Old;w$nOeL~(=?{si2B;1#Z379x
z(V0?}Q=nadV$M)7>g~=qvGA4IF*T*9sjFki6r)uIb-H-{n<}l&ni_axclYLdimn$v
zzI}zDJDzV{i^FGxyJv3?P^&$U+cOjuQO>|u^;MXqrY}PKG@Ge1ESJ<mBrv0rK9rUT
z1Azsr_GC3$R<~oDR5()uXAgU3TiU{z@WK9sU_!U0%q!WwXxYXEvja*;7m;tf-dApE
zP{V!*cE4^K{VHosUR@bxHQ}kdx~@Ad$HeQ$pQz9X+Pr7e?L!1^rKiRwsAS}=Cx=wW
zsXw;ni|%rju0wDHIoAfMrmkx>D=2oxjQHAX<=#^7O-ef(<ealtqYNclRi<J>ls3AI
zj-4S5t6yg+AY*mDQUUJK3@pEWzmh3~1kjdR^}~AF5X64*MuIc!537H`)fex)4f2QZ
z2XfuG``Wm*#PE+LqGEDPw->^cXa+@A!!Xd~u1Cj~83Vsoc0nRYa8!xeKpqmDAa^+i
z@0hHO6`j#9w{4vEm<@+#FCcBRpEMDF1~Rs&qbazazRkVyZ9Ac0tNawiu*NqXr0-A(
z@HTU8GiKK4?ZmUB=wU@Q=EAAr3Gx|srUx}Znn=G{^(ERxkgJ#o<0u9g=*@sup?K$_
zGiJAIQHZbp5G<1a=o|m3=VB?IK!`?xHZ6dK!3YfamZk`7m;~D24@x4HIh(D2@2jrO
zsSRA;*qdB`TqS|vFQuf{jsKJi{+i(A0=q-S1%tCOpSdfzjKPl`>k|w`5uc<3F~do#
z@ZT;JKe+y;6U~-)ctYyB56Q_U|H;c`>2=Ssayupt4i3-}5d`Qh+t}1}`rXOlG7w|=
zucGS-^Px^#Jz`kkx=jTJ)sDRq%irgMS^uEDOP@3y9m4V6)L$HbU-gWvnb=8i^+6l3
z6R}dGdBW^Q5obpPCdj$E+v`Y&_Exh&$_*i(LPk|HOuAK)z^A^XKnxx+F)H!?uk_e)
z!+j2~Rp>=SL`3hkN)lqT45T$+;h%mHu?3AE`C6wHqj%=+|BH^D{)nsPh!f<1u(N;!
zEVsP-Q-Gq9t0{Qi4+sfb#qtcI;884S(#3MDQ*%Q7%}bUr3eKVL7oLZ<Rfb7Zeux;s
zN>{O*0z${~Igt9OUK=1`pugs{R=IqBKeeMn1>rt!4m9kp8<MwyH<ShcM8+7?T?E-{
z1D-90uPdCQgb;F#yd@!%=5e+dHc&?!q5GV(w;$bz*New#D7i>Y;>Qkz%HEa*VgQ9E
zsuC|0ME^(%^UY{%B%KR!8!?SRZwUK1O6GIV(Ax}iNc9;46oFjOC^l{hJo3ygXo<Df
z=lLZ%dj)bSv2>@B=--Y1aN5=`d;)ffn7HJ-j?Yy`Vx>vwPK_<*H$Sqjo%y`co@~~v
zB2V>3OMBj$K4at;QOs1i`j@t824Xb_4WekXMBPF2t(lC4WT}f~mI(#N-OsHIGs3W8
zUXpQc$5msC6f#EkWQYunDBW`XEg#bRTa0kX?k}OlM5Qw>YxI)<jn$)kg&io|Xzwvc
zQ9EGLr-!Sw{|X>H#1~myI~?^5#)sCrypjnM4Nt|7d2)ZB;vt4v5Hs3T*V{*%1>Hdl
zJ#sHw0&7?3rOO{mO*7!i7>UCc0S*c-RQR*(qOF$h+cNt{7(B_z_O+)u;rCd3lUjR`
zzj(?rH*Nl|hV>wSNvKcC?iImMauw8?CfRO}FhCfh<Rn+hE}KW@p?)CEh{_$u6(SQ=
z|HbnZ^rTr~cZ3_*bSIJSWxb9r#EmvK%a~~R1&Ra5nQUC^Zb=h<3_7cH56O;UbBH3R
z+noB?jMw3uE7}di2zKDdgrYs(fm6;CB`%o5olBe<Qn%e-6p_Yikn<f>!q^UzmPc)-
zf3-P9)S0JBIE_}G-ULRv+0Rrs<8~y%XoC|rv3r{q8hp{yeqaSzs+zxbBn3Ui_mx;&
zpC+CiwG_9Oca-OD<Na=(Ub6XDqq1Qq+o{up(Md|AOy5ApCBH)gk2)=v_eXn;Het!R
zzrqYE%A11kG~`{mCv!5V^ZbFx2xnQYTgHsSxO4rU8*Gzf+;N_(Y^@z>+jk|@H%9OA
zu;Rg9Wg~E{4s7l&OPi&CxkrES6{f!yTxEXH9iP&KUBhxi0&*R;XrZ&4K~fuyIM#XR
zRp=Fi{Ksn<BjkqNg21zAWM>EMr*@)Pl9`*>?7rO`#w)wLC_SZ4aIJRA-X`AF{znkT
zPc{EB>V*%=1u%IP4$?(QzLR4tVJiQ?$+lARM{~#@2{9yfILBpoJfAFc$UHuYnL^e#
zs@in-w8o)Z#s~ut@ri!C=tb?JAAyNqomz0D;Cnie><4OzUfp3z9Hv+xte0GnWnmr!
z*PNWpZf7T=@T#1)4TMXlDSiJCto7AWdF|Fbu8fMNiKsmmm3$P3YR%yn+&uBybFHeQ
z%hAGY3@82JeCalP&6T>uz{9W{&;j*O+}r><DHbkq7B<JFo`ZD~)iGrV0F3bs8+IUL
z$m=5|5E!l&Tdi&Z{~$|BTP@NMwz+vbkf`pMD7nFMqMKq$A5|TEmm6K?z9q+jrK}n-
zcVj>^^!Av5^m50Y#o#=o=KJq(mV(ATxc-<LxWxxs2`K6DIZk3qV&ttH(zD|m^lxK(
zCIuZ{2C5bVJMUmieiT*{N~y#^td>GpM6pE^j{LQL8|}`c%cdAphqqY?gW`YHlJ1Rr
z_C@5a4@TeXS*Mn^J{XtWDT2Iwj7shzyV+YXvg0`>q;aKW@S(O1SQbFCXfRP@Qiq^B
ziNGGaVU9fy2S%YS0~u?vftr8HOR#s6&{(*QE)r4T>LFZEyfH>i#OeHizuALiaXj37
z)#)gE5DN*gOe>}c0HUA>hRuz&*Yc3`0nmeeMD#fpgbQz*3v@Dd9ErrAGQ+T?F@akL
zA8naq>ank-D}Ps!ICe$55YlG-*f&R=)9bH*gqcYq$%4+=7>j{U8ay!rs~qC}8d{Jm
z`Uio@Sj#t_hkBgs^7gg(PkYci`0m_-fQyRTJe)HlpDhI2z5yf#RrNtPjyXhRx$6^|
zov7mFOK}9lIU>-qUnujxm%@SersQqi(YsBAR1Wv&Cc34xip5~^jl=reX_JhJY5Z9J
zfoM90uWZB&_D3!3?$?B`6+*ta38B@D>ZtWOC&MSBCJ>oC%;-~r81(}OV~^vF_wPJt
zFcu}#0}~FGE@GGBTy}PRw|HcPfS^agz1XW#O{a8@C>*p<goHfCu9DsMl*_7Oon}V!
z4*uGwZ)4KSGMBE_Q}P#1;U3-?0PUMmBTw$*qk>nF^-z$tvf$-wABwS>H%%+gM(bG{
zY>2zlM4V%gVeG7t>wU&P=Tp<yCKRxWJRE7pIJG|9`F-RA9NgIPxuD;ilU!$a>}bE!
z->{IEn;Sw>1U$C=brrfDfl2yZVbK*R@&2A`!gWo}cs%{*&;=uVseqHJ^$Ql-HUvDj
z<R1&>Ki})(l7Olx<a7RVFrLy(W(4fPnR32_iGRFE#i!Q)!!JDGfeD01YWYlpd1aYz
zB=Fk<8P*GhpMf-K!7g5hU`g=mI~yE`(YP<$ls?mwC5a!~re~(2+0GcjS1K>5iQ+~5
zBY@qt@&j!5A7V`5$z5mrklnh;W}^1jghaA#6s6#Gwq6HZ>|{zSqG9#K>aLEODe*K5
zTm*HyxJj(u<3knZ<bchJYRmGgd$<)K*)e$8&x)bNj<@UxLk}y%Oz5-3^yLs!Pi*7$
zyf2}LQ6oKB7L<H3xCno3CSHW^q#w-BL^K8qy{}xeeY?y)X@LL1;?iC7USkl-D~ZPL
zu%})f$b}^#`CvV3-fG{U<hvIV4BOl2nSk0g7*5SCI+V=u?fe%z-&1#C*l1>(a?1#S
z6DuK{Jj2I$2HFJFi{TvU4ZBUQG7gOV;Mv=ZoUf|9^Dm)|>Q64nxOExU;6gouT)wki
za4YM5UadDd8#;08T4?y6{J+9dom+NrRW?-zW4a-vPnGqP*S(aS^rz)b((j^?(k#7H
zvBGx&1XDe+sC6^Ax6q%1r`EhyShm|up(t!j+>4wMg|hCKt&hH#nBR#oe|!Um=-tiM
zGb&{5dinc{mWHK`n};$Dlv3GKM#aUA{S@Hm1tW|e7b}$met68Q!V_cHN<c0%KGdXm
zWNmjtcixnr0quG+568{jbAxrdgn7Nr7=gSk3bZOyB}zh<f2BDvWj@d~`Xc;>&CoJ2
z6Lb~$Vn|9xOo+y`lXHgBsXJfCV3B-mv~(00(?Ot0FAG5eVy!=CP2~@Hc}-CaOiR7z
z31w#sEh=v3s^g56xG!zYuR<PpJN)TK+9u#D&2s7HZ^B^f0OknqKH;B=L%q4mmdM-Y
z?)4yJre(G*Dl$eSh|)C2b(mnu8*aaE5h(BdrHfAd5&Or(&lBGUH+%~)$p={<1--<!
zY+ErGz>LOLmR^Q(C&6((96=#I-gBRDw$r-St3F{qGB6)ki9j}1-UXEk`<D*%D1#>2
z%8jw#hhjtrU>P6yu8mZWdZwhIxS9AJ@V4hnP_DtqrGQPJPfMC11EiG+OCYfdOcUZK
zcT9`EH3&a^*V4)_AzkkF^uC}ad5&rfh?O57gbZl8QD-_glG`m?=9}h_F|^PoeAb?=
zP3PJ+ymbW`Q*xSBrmZRcjZd^o7yJ!(X?@<*Wj8rtU<8)D=he4c&4Yq*53;aDw}qgu
z;`K_>?U2`sl2h`-<8CEg7?JM<{0|gA34sFI)`eQL_$j*ta3hXqL%Va<@`6a>-@INa
zaJ$1ONVv5o@jCsndZd{2>q6JI8PE@kaz-2}CMf12S<o!~2k}BFp^p;9Q`kW_VG2Ux
zCJ%@zgM})*F5Q?cZ9``*dnk#;uKBz<tWzUUneNk`BHwSgjf^a~h-U%z$s2)SVzZ8Z
z3J8EYy8k{RN3=EKRy3kLQZq(1KNl$IQP_doWg{Rh7QF8D@1hvvtiXDb#1t(o-hQ8!
zeQ(1UZj)p(S6$cdUQu8zBn@~Uy~Ckv>G^;d<JU`ePOgK$LsRkepN6WAzLs~J#fA&7
zJ<_(>gJo>uzObMXZ)C+8d8v5~;|0S4azr|Y9V}sO`qn*wu&!LGdaWUz>Y^@`tuiii
z1FOk+ncKN7UCX*QhZ;%~oL;5R9*-MI;#ha*?mt-6iii(2ZsJ?7vMXjhonJN<m^jSH
zpTK}xVbVwb;+txvv1UD6#d>zdnwRv6PZ}!)W72tLSLjI6wAlSuZx`XX7yUvSDgHeM
z;wMSf)QdS53HRhA&)F5UipoSjl~b#`mtXS7J;!Cb7e_jRIZ_f`Rmp04;WplL_lW9b
zS(VhnB68@+J73=9V?ny;J+T(9Af*YnE=zbqx4zsKV^u_2ia{$=K@H8xL3K3=u`5I-
zv8d;r$G22Pie5Q;2`!RF8iVJudsnm}&itq~2w`oY&5WLl)tg+Fs9v8p&HmOvEqoK^
zZbCys+evKYsGN-jeM3Q$xd9=<+s5<(#<1(bM90lmwU_8csmVMsiPm6%XP4FGmObZ7
zzg4T%D&Y22nYYhEb3#QvM!53f8kVapPPn5+NLneD(?V6?6m0DZ$wqsT`QhSM_qlfX
z&AKx{$ojz*azEUEPVkofCyOox4X0Ox>#0I_Jp{{En4{IroCJAQkFzV)ML^STqLK`&
zKr6b_Qv_;)fYM41X0+f%bX>M&v(8f=hs!8tT4>^j&o>s&e6yF0Ml7h@TqU$Kpq+2+
zoRxrz8bsg>RP&{n(L6B84dF^O8&fuqxnI;qMch<2d$HG1PrdJ|bOk<=ny}$9M$-YN
zL(Hw%J~Ji8Olyi?9Qs7w?gPQ38;`NnFo9P3r5`C>pWq)WUm93zd^968u`R>ef^E6R
zgu5hgWM?X*py}?cQCO!NX;=6*?$JB{IoZ9Xwt4ubRp~F=d(N<tB=?J9>6KyHZKm-{
zLOD7TSrmpU8B5K0dL^;;D0!r<|BTIwWM=&^daTN$;Oh1qP}W-deS06anSNtNZ*n-l
z4O6-saZaUewh76mjTj?!aE7_3C7-?Cl|eXj?_IjAM3)O43MiCLXt*#G>kOk6x+N$}
z-=Y`#=LCn$G1!SKJSdtZf;s%wLWc8gDrUR6fy)#XG#V>*pEsUUPGnkLx^8J;yc(kG
z_x!9QOp(D05tVfPYU^^Xy9_tg@KH*dU&~q0X5hO~bz{`mE3I@%$aTFhgZxw2vyYFN
zJzLaIy7NXJWsBX!qz?=X$1;+jw5(Hw$gUT=yh<cwNf6ILD9kqIXFD>i1F!RTL@&o;
zvtjNgvwnf17c=;qJf##gI8?D@5PxAzH<e}_pWxvE`*t?!PRU~GFV)&}dTJV>4?1eD
zMPAWOe%ECBJ5-`l<O`Q-{^)}?Y|hQ%r%d?;z3K1yt^pHi?^Wq>_TssC!(K*V;kXtT
zpUO8z)tgTb(f*Z>yJv+~o+xRLeo5|X?`v&x^$}OiUsjzO3)bCgFE~ySP18>2_~>od
z8CS}J-kjJkqUNsnp|(3eda_rpjDDpp*xlc3kRMD+RU?$W!zZ%3(;uLI+Ds<8DUcFl
zI&ix$mc;Jo8{3Ap@2$%y>f!^-#~oZ{&}bp3o7`3wJZEzGPHH-6weipTW;NgJ?|PX6
zbPW0ND*yc}P+=8nXhxg!y*W5;!DX_}6Vd=iFG8^ciFo=rtfn8IJ8-!}L%?X54HuS>
z-4mHN@*O&c3l%jKb|>7+KRLowar41wzR<#+3t|_E9+(to1&Fte@)!E2Lzx`zuNVOL
z@ki~ctMc4+ZPJ#%fVRSHopx`IFyRZwpR&+pXYe=3H{~ib#P*mk)W>q1GOEH|lfgH0
zZX_GkbX~cr`Ha}$hqm`rRYg9~$u3K|M|1VSur;Fm6Fk0GSOO!MUZJ((WGotQRsZ03
za#mP$&ZZ%&&iCGt?g>Q?bSU?x!dhm27to}~rVG+V{5Ni+7_7|(t~}G86nK9=_;IhP
zWt(ZI%Uur3Gj8iKoH6W6Vawm-#ug4Aayn;6Gdc07s{!nJ&QXdgFx@-<aCsFCO*_}`
zH%r&)hTkd;mWl<120Mbhc^MhQ)O9W>C}ZKV#}m$R-C5m?YDsB6rg=sEJDI&jVHz5`
zX&pdJ&<*`DuP{F$5<NOnY9BY+T1;YYkwH7|1oQ_o(I;_gc{e`~eKCn2D-C9K7X4;V
z7CU}b=oX$nbwdlFXaw8_G&FxrHHflX?A^Q205y5aEahab;gYDOVRe)>e;Jy;Yf@)6
z`+GT~!z-xI7-bCmBJ2`eSQ%E!1w2wyp;!A8f%!9bK-ZeZy3G`&mXB4WfyQ^*SQ=sk
zB!5R>5`>_l86!7UKo=GvoJ$NHT8S*0XHHi1Z<D(q<r~U3M~ZRRv6?^i9|vJF6_MSO
zan7`MDg7F~+)5$#uQer2e!*>4EGkfUE~|ou9-@PmX*r{?Yul_+RDG}|xW1Yxt=?_+
zJ!O!wVnh&J+HoYRy_@_yQvJ;a7bfp)5GXPuKp&s-aQTRk%*49wlY)pWwY`Y03R4n|
z;3O-aLU6bb!EqUvNYULBZC!YJPi>p*A-&OIJzD6)JjK!RBmg^E*<7Sf+q3GMU#f3?
zC7G0KOT;U`GUa1?s4OKr3U+WsF!!nUg2^3Tzq+^<9@!!N2d8v`9dA6JIr;LIu9Ny{
z_O{-{-M3Q6!6tS0d!36aDxp!xjdmfR;0Pl2gh2((p}r<l5ishvL`V3s%S!p%`)0@L
zEO~XVo6wSmmX-0<tAOi7fTBmhe)4MoP?IL+oTDRyIIqJpS37BQnzHuV(<oH$v_@bm
zH2Z>DFM)d0hN-ed<cfY<`T}wYu$yEdVt1ME3)YEndHm&w!Xp}}TLcDWQLHR+*OU>H
zuH&;PJh5gFR$Cp%0A_m(O0W`Oh-TI2sdXFHx@YCmTTTcK`u_B_x2=BejDqS&gbU^#
zq(OUKmg>ju^Fw;pwk07rrtkfibUT5B%#cEr<sXO+-^QPSrbb}}^Ch8xXMvLt{#jPh
z4#p?L*+TslI9U2JUpM2k1Q&?IM1=S0m1NZuROktf#Fq=Qzk3V_ZD*8NPF0uy#S{PB
z7fq|PY5FwB-SVNgWiV%o(2Jxl1tiGT(Ba~PvWA>*!~6Ymt@thZ(4G2dTDrT*BoK#v
z0riBGIwy6X{9czD9rFHRNzaUtT1!}zGR;D*$^P=%tI#niOAqdMyp`1xak;4x7~9S-
zO!cMh_;xV&1u+OMEvs!ITKjmQVjo*Yscnu)&)j{H4k#m<EM18=f2q}BGn>1|9F!23
zWe-|sB$RroR|CcLEtE!RRuR!(xTFeHw|73d-}u~Dd?7m4`pik6Hfw_zRGhJ6OX*zf
zLvOM85SiZ<?7T6zAazz8p9igDMD#MT7DhQ=9UVXXLUw<+e=xh~CG5DQAJdL$(mYQ_
z4P|O8p2u-oYWtqNOL3SAcWtWD)7~e_d(Z2Qx_;%nq1pBmU7m~4<*{K#gY00g#&#NG
z%EzI7#Z*3H1n6^+lr-7qy!)<Tv1E}?1AZcH>+5Rx;?l2JJQWALx-=_e1o0r*=clSm
z;%>bOiJ{AqNWjj=?Azwg+RYn&&c8mdLPfiHaWQ8EPv2ANG|ay<x9q)y9~JW?$>k)M
zJ+)?i@yS(i#GW6DXjMO|s_MFBk2IVD38hQ@DN48J`p(u^mw@qg{?kzDx_O+(LO7W$
z1KP<A5aCrM**koNU*6GfXJUo=@4VYg4@#g-Sm!c6UtTF_>asCA1Nx)p+>bu)sMEd?
zgVdf7V%2F7;lz=7s9Rm6;Xzbkg~Lc)uSd$X79=kWK1%A!<2J+RTH2lJHx%jrE*04)
zt{_-8mBjJ(i8b#!?MgAvN2&}~@tUh0TZ-YSWh<Om!Kx0)i&mAcs;(S%{{Fw|F8oAl
z<&-(PcHDwNp9HqE$Lf!YROXO1|3>@RNxL_tVKrykFGS%J=rN|#Gp=NpBor!N+^@;<
z>~?`>j5xQkg@h%RrUFrt%Jacx+9@9{zaO<TCKAxfT+xydygN)W75}`}og>45uFIx?
zn!Bt$Cl@^Bm=F^}JILyKT{Dqf3L1@eoKV?wELD~)x1FrU6k7#zWiF9@`-EZ+-_A6M
zFo<{WZtZ=b(A0js=e$dD^RgCXBr*h`DMi%7&t#D#rL?pca`ZnT93-8;xUyS?MH}e;
zoNW?NUvKZ_sgF>qI`3lDtSw{6Vcdkhm|J6GDmb|qncC0%mIaM3{#dayoz#_(nN9O<
z6K<}SJ}lQI(z-_<gcbbhtk{NHA{oS%17nL&#^>+dw|=MEPoOJfs#forEQa5FujZ1d
znocvG;@5KtU8YD{jV}D&S6@jQOvgR#|3Zb`^+UgcTRxv(Ja>3RUh1bCRkzflRjHs>
zUwvTlijwAFaN4{{=P@&yV`4lYfY*NM+kR^5m*?f`N}uc47uVgI-I<XwdYH>z>d}L?
zZD9QR#&S{l`J}U1Sgq`ttKpGTk6i3XLSUNnZH6FZiVwbbj7JsDUfGL~>CAhv;8vEY
z6Y^Lr%+1q`^NDqjgfm_)0;4g)3~Kr+go9OIiCa)!!Yh%aOl%#iy-Q-5aG~<0VGeUx
zxmvzPsqg@UMgEO=DQdH(5O|E3#$$wc#0&{v#>idQ(Vs~)(A;oZnM0tNAE$F}NR7@&
z|7bQwh?nZ@q;U1$uW^eKQeX^8RKRqk&29+H_-&^mrz}-Qu6>BI0vWXO(G5ZH_-m0k
ze2af*NhpBV`c2q-^-HFeJ2-_o<df-$<{{1K8QDHK&h@vL!tkl;xT=Ra4CqC@!EFm!
zMdSX9KMAY0VbLjAlLTX>ce{B*hoZ51Wo;C)Ecq`MfHa1j;t);QA_ct)lok%^o^+G8
z+O5pJYggZ>UHp#tq9;@=p26Ole3JR@c?jqVj0ibb3V#5k>|U9%!=d_u@VuWywVr&J
zs|Aiq)9RLu9`aLEK&$BOr#Dl<gH>}qY1QEAtfl4x^oLL+&df08IbT5|JXt9s|NV>z
zz9%?pR#(@I6tr71&MYHmXm3m-JbuGAZ-heGi28iO#uLW;emWgAvyuCucLMWQzof2D
z;Xhae-7*#?4X@>$o72Q1OKF{xKRGueCN3AeV2{=7O1lDv>D7_#p#hmgB5kBpCr1lX
zr#qZsd|E%{Vt{P!NbFFMG`|sDORED@Lk7%f`<H`Na<sZ2!ON_(S@AVzj1=7i4@E^c
zRlQtPUJ5^DL2e3$L)G%r!(LpIfAwM~X>Y;poEiMQwZ>zGlx&x<tQ+MZLUn8s#a+4r
z3A@uIwC6np!r}_2TrNO12051ztnzetpcmQOZb9cp(v`t%_hOxxwDS$YwR2*>4)1#t
zG+7v_C4jzIl3R8t4U~0vg&c$a19LR|v<G0yhqzS|s-m|zMS1auwan-NK6Q;jckxFd
zZuaCs4IXB&5x|9<oz652As?h*RBo3QfT1W<$l2ke@0O24I}I1ZrTC*3ke}MqS3+vq
z%_&aD>VYwJd8ZQ=ns#%wrgT6D^xg4h*V%4!|I`?a?6adczJvxLu&ju9l5x1Uy`a3r
zb=HDB-2<k$-e!2k<&_Bh>CNkvL%V%t+`B_R;qEY$dj5cGO^2+Htwn%R^N)nL9DTW>
zM?G(@?)%&c(r9%L!23v4-Pur4n3+q{&7Ug>4E;f_;YiTAL+<(JmejQpJ__;5t?SY>
z(q9qQsePXmMz_AW{CHBd=<jPOcD(Z0dt)^i9keg0dF|oG^lLB92XzDRY|)Evx3AyU
zU#Fp>em?jKwD+L6a&-U^Nm=aKU>6zkIet{oTa0OTy*s>cAo6e%hb)ykqVUVh5W)?L
zo$K>B8_*&5wEOy0r&r>}6%gsIJN3C5`BEMOJ@|ytc)eg<i)lX@dp_zwkfF7YZTWZh
zyW@vHxWG2cI`YiHv^mGe$+MqSZ;ubTB$erw_Prs)fud66X@Txs(Zq8J)sdavZJ7$8
zfon!*y_bK7KVFzVV=YiJ!i;w5oIRK}z>v7IA3s+%?^oy)VD4?b7J)%X4i}j!yi~q3
zJR?fSQX}UcT3OkL`Y;Hzh-l|}a)s$(JwERnr(Ep-<X{SK<>Ii`W!LML9bvR~7*h!_
z`^N}|#}kwvO_SIs7xrS#a+mR0r0!ud^d83;wDx>BM+FU)KJo)k6nvu+tC*6MX~!eK
znHf%1yA@!}!@oai|Ma%&(=VYPnFiJ@7N!gh?lk#9p7-f}u#M@2!~6sMc-lH{Pr@3=
z`7vN-HBz@4Xj0>Nu4LJdZxX1&&DrJYhz{{}o4*$smY`a@ICgL8TiAk=N$Wevdg8E{
z#`QVQ`ph8A4m<jMA?SM!ic<b;hoAFzK9aB4{cf^=;T*J0{J2#*p`mNYqp{$&N7rjp
z$|13{5W@XT?8^s(t)kbG`qk32I(PQubD#5J0VR*z;EI*b&KR+|e)e5UpcR-#*Uf)%
z{F7HTThy&l4c=xN4yN=tsD{qHE`;L(4Dwf;7M>o5I;=Joo^08T`P$xW|A2bAiu|R4
zJo_w^3DL{I<l3vTAe>N~6X7a>uG)%6I6lCb?y80v>Zo1eGv3G=&MIbo9Fe8mMGw#3
zp3qAZ>}V9xI9#p`HZ|JqeAF5>HLQ2XU!iQ|BizQ*4$KsKVN9Q_buAP|uzk!FhmJPg
z@E8-XGkIt@#3TKZwhj!aGvzZ)PBB&&MPl*epYxhWI$+?LxWiu^x_z^idjkxIKk&Lf
z+sAB9%pdPUpA6e~ZknhZCvm(dx4I6BNQ=Q+nwgWj*3-uZ16Rb&oIcIp*q{|^6waA%
z<MZ5ggk`3#+l=)u$2?$AW>`QXq<YU*xo3yk<Xd4b+r}hysfSyFIhM1r@4Gy8iSw;Z
z@-)iN=f0l{Iq|F38^r$DwJ+K%J=vqHtxoX@5`sR&$s?y4<`wfw)gPxw0jYU;$zKcm
z`?}z5?jB)lnWUNRm-f((ime58eI)G5BU%H8S2uE^gtA4;K6JB32S@N>O~qs*)ara#
zyP<t6enl+k)FsAiRX>G5<6b{olob5|ZdcAsno-t&&ut74jfYhi&|0_T139EgZMyNw
z(KXq4W<!q=3y9rlIvsmME3ZlWXrg3Mj0+1O=nwE}?`lfb^2sr~t8g1j`)6Y&amfcf
zE$YA9FE{0DyCi0@poa$ZB+qx6z}3i=t~jF}wF?VIc8N1L3<A2CAbMY^&2;)<w%eC5
zB`T<PY#Zw?S;H0Q=S8)Il`gz^TWUV`(-WIZ!G2<Mkts5ps0lMeC)gc*c;JJI=qw&7
zsPCYVhVf3;9X;`)Z~FE!J#(8YPZnHM+LBL>rl$$bg)$YHWfbEV>n-o%y(BTFlgNQ%
z$s9y0O-JGb+pmEbHZ__d#(W@+u35A2l_?HJ#%e7$3TVdQG%ytP$=HGN&Cf*xx3?T|
zIbu0)ZLA*)23x+Xp$J%oI=(uKsc?|nyqhTr4b{~}#t1=MAC$4fZjT4(W?Xy&`l_Mr
z_mwh^pUh|Y$#$H*T^8{J2Bxc1*w)Qf#fh0;P%F?!LVaP70^cw`EGcn1?J;s;QxSEM
zRIfBT)L}Rn8wtgZ;+0L+vu9jmw0O0dBEo00fC$HIXk9<E^7wj;o=XH`!3X!jlrZQ3
zBYR)#Xpdphe5Dk=k(JU%?5~c*=_w5&EO<%z{UnN?I3-X~{7%p{w42zH+7C;=J!>|V
zEviRYlE-Y6NV|Zx-OR9KdKk>87I*hB*@k!UYOlN~#eEUY@Vud<q%QGM8W1zQ)Z$eL
z8W#%Z40IS44?YQ?V*h8Z)4+YYIpUblyS;A9d2@bm2EUVCf7ab;kF*_+r%#_c?k&b+
z<Nf#I@n9B>n)nnxz6kA0mYcgjB`cfvL_gxx+tu9;xoKmm8l8cOqs5K+a2waJ-ZNBs
zVzeb=W~&^1?oPf>^D|-7#n+lqfsLic5ATHFYY^7cR`T(!ilR)9V$O<zhTxvMNcHs4
z)br@r0j2(fWHW{Ava}_kEAe_=p=A4cBTc7Y6b$B5d)mfT={#HzjtEha!V13VG5>^T
z`_-la#`Qno(MzI!LeT6tmQ9vz>5f2FWr<i!(={J;a`ee~1LWj8cF%BTAC{MmF{ZF5
zOuRmX>S`y<@j1w9Yo0N^`&6XGR@xm?AcpS0EE%er0Ws0MW^Gr0e)e+}ej#k|N0I*r
zu{llGGIwz(_Ks93s9`2w3;yI$4NtY7mXd8?W8iUqRbEZW({j8o4BCQ89N$pF%`C6$
zB0m=lO#l*lr4*4J+H*dME=*k;XH!slKHkVrf`VB*AinmO`JX{z;tW{D-cmBY*Q1Ua
z44i#sLG#C|ik}>AfoF=f!4z>X_-F{j*Qrt-^WdWuPV-fKKm8=PcD0j_i)BRI<A!d(
zy_B1~=m&nmnC4I`xpa3=sM~W7&&Pt?Rah_;02Ai<;Tu|=66@|V1bW942*ow))vGiw
zdTsA&rCfa=IgF>@oK;&ZvAT~`hf}06{r2;cgbog@!AU({vC9?4MrB!aT}?j!7^|C7
z(|ZdRksX0i-vm$n5K%z+J>Ee+GEj*%V`L$-{lE=o(XyW1=MPf^GXkYDo(89Gp?{$5
z9otM{Q&pq4R0lH!?R;>7MiZZ6S<unY9`lMJFUPEbrw7YkSE0%7TMsoWua;o(&9l?t
zvlTzxVSXPy(!YISlWOokZ26VM>k*%OeogWVy>~C0){S?i1^t?My0Q*=ZENx|(+zmp
z^$`qK4jHzjb7&WeYA<=W&4Y015k=0C8vP&~r+UnUfX^?vOnhD$eEdeu`AUTM^^?jz
zUkc(=;y2?FFDb#K=sZ4+(8B3Btff6i{FDc8@N|0v=ED-CV3<@eyZ_T}Dfzh+o$Qb1
z<y&S?yo(XmwV=u_DJ!4Uki)f^{2!{$GAzpO3-=f=f|Q8T4AKqKHGt&MNH>Ud3quTP
z0n#HS4N5oCFqDEabceJsbPq^}XZt^2&iMe}xQ6T5^X$FWz3%(BHSvH2QL=NqygB~?
z#CqYnTx~#5&#c+RnU!1E)-z52UFqh!P)bxZ`fDg``@BGJ$pdfBl6ka5^cj_Tn_Ut5
zNz(EI=X_?TFJ`d5yM#D2k>XW7w`<w%9j;dwvnQLdtp~+Xc>H_n2SpsQFd3?n(pHgV
z?Ht!Ph*AdjMeO)-Yct&~$qE*giUaMHfMzYR8x42^k@a5sU$4bcP~^Lb@%u&<ji;5)
zqH65xc}88cx|e>a65aEE1x+j1?EbAq^PUvKQQ-VH5MOH^x_34WBC74z3%Q8vX;ZA4
zR%YaJ<Fdj+xH0>b$KNFYM%fB`ZkapcvZU39eG2?h=>2w2`=TK_a?goxflaa2efk--
z73~3<4~UIBFdS)@W~?t^C#t|lHrRA)b!RYni?Oo7VH1~WY~sT3^|7I(0t^RnbCivw
zXx&gWGBf)D0_V4C?^SG9G!p|_OtOW4F$N2Mb431RtZ3dtWyM-obz-|kbD2F}HtpV>
zfyVhJ-YFi>qnRzJsz0mIb1W<F`LC%!<ne5#d-40DxsqlaNwKB4AH3l7%q^{}7&qZS
z_oy!CIi|hzlz&GqRY9!{PX)z`r<tSMc#s!T9c|!L4u{5`2&<pR(nJ~C=!99{7K&4|
zzU<;}S?eD_T*5VFr4t@njjKpBfIRHKg&F?r9K|Vaa2pTlMia}4(J|b9oc~?DrNcTv
zw%%3#b=0>V>c~yXM=^E;GC>`ih`hP48j08<GD!L5q*BZQyE|>^1gBM;6*||Q*ob%q
z*rUd8d`YN~nM6-!_g~LZA#I3<2d>@cMUne567OF(Z@(x*KN3|_UE3YWKbYSkff#r3
zXbt|4CV^c&n>&<!Zhr0I{(J;?RwVO)vI!F>0Lg^kp?+_lhiC@Jdjv2B_t?<>UHpID
z?>U06P{5Agax~ca_Rc*J*N^*F3Di&<!5Y;L>p|Xoqv|a{x5(^3RYf}te>E^e7C5TL
zqEA9%Szj}|Y*6YIdv}gu9Z14~;8E1PoHLHv-05dgEzk9Ynut~qgReX-1tVre3!WNI
zhx8n@af{)8V5gYseL1HMYLU)==p2!o6~nCi-xfmuBpj1d9M&0BG}MZ>5O&`E@Iw%o
zp0g_^nW4CFXuWy>lyNzl036P)+vp2_$V?vXu|}zEwUJ{uxAr^La?$XL$r}L($B=QB
z{e}orCm8n!x_NyNxt-;$+H9QfG>&~QL4x!rn<a{rkB2Ws*gC5pV_50!#y29^sUP(^
z?}3t=?BeLdTM6IT0J6VdKVbN2Jn|{@g@Ca4XP-)i@AFnk(IKlfU!4!;V5#%$eCT!T
zK)NWVUvTIy&cD10&R1(R@$UW(ur~jrPyB<~Bxp&C4{vL)eMj)dOqh@z+Yu-=o{ATc
zC@A|&GqH}W`sZQ<bJ9&2X4|S<Df?bl=%K-zG@y#uX4feZ4GkC5@BjXEMy~72&--h=
z!c*|HwCwSh()%<8nVW@e6&Y&6aavK?36j;0Y0CkR{L|GMvOoCr)9{Qj@Y<DU&kopj
zTn5k#d`eN!(DIUiBuHm{<PuBPY=V^TGRLezNwcj1T_$72MCBsj7YV!+c(5p6NkH<C
zEN>vg3w0X3mpQ!4oJ6OH4^Kb0OLDxH=~R%-wSBjC#XO$qG{4WWA~6|5FA>=!L|7|W
zJE4v?VQRw~dP7exP|m9h{K{TL_ev(41Qa{0n~1-KFa+V{l!CHrG$=a_M<k6$dzx_w
zzvBrT^@GDE*}10Iw~$#z-<t<#S*1%=TRGGTB+H49jti*Hq~Lf+DtVXtAjDQN^k%Rb
zWk;-rv2Dt_I`^01Hju~+w))$8*fnuVFZI?}%H6b)@4@YoZ)Oqa@WRWvVw(GOm1^mH
zhZ3Ud3h>l-aJMJ4$VuVsp}ZaMY^oh7_VSkk9`e|q?qAp;(xg1>--)1HI7?8rx@wE_
z?Z=Ohlhch$E-tROmhhg72O_cSUro4j7X<i)g_jz&1@8PvV^()%e`(Htum97>!S$z7
zQkw|M`8mxQfr!mx>y)g1>k2)XVEQJ)B?Bn?ABg#^j%*;NO#L5=Os2V}Yu}D(0z96W
zABJ*IrX?gT&NGN4jnVzTsy3~kt0xsk3{&Ul8A7&}>$6(ZPf%yErm@J5l<V`cqiEwH
zUG8D)!`O#N-TDd`(3e{$_{DPl<}Hllecld<*|uWrc{(XK&e!if)DYFudg1S6cA3Ib
z6O>iUD4})uVa7VJ>cwl`?Q){`f8JCs6#=YB`%&mDR@d3^EKx%duq~Ed9Nikd#}Men
zwt+~^B9Va~Eqpv;`^ljZ{OahBse-~u(e2q*InQEw#Dbh>z4e4!(Z8K?In0&|Gh1Z6
z5PMw+>Gwbp=!<0PR&N@j?^r9+Pdkm?-OZ@8sNCO-*{yq)fo_{Ls=vR=T6Tnsv)1eV
z52z8C$)op}75&us>(KYG)i4>w3$p@|+I_gLpaF+FXQ<hi)(A=C{tp)*f!Lt<!7h2*
zfd^Yvy5EtNs^4;AJp1aTXZLhv#ClhJ8YPFTCFRZZ=ERJDBfwywR%Q&?eFoB}tgcc2
z;XLCU%bG%aldu)KvS#m|(WsZAsuwyJMb*cXXnmR9HF>MdARG6GANB|GdaTh;G^7*w
zMQ?VIZb}!nxqYAc%BT5=QJhr(o*6vqk3Mpr|7CH>W0K<n0)8I-7FsY5?mH9^({gg@
zKVL|eVkP&!fk1&z%lUwN?5g)Vk9TsliaME?&&%nWk=tbSQImTCH72mZk`Aau^Sjhk
zTWks_y%@)~bf^T6aVL$l*V}T{!~(1Xzf=i;knB~@F$w0TQ|(t%aric`f3QuZ_mBIU
zyf&lDt*Kvqu21PqeOfF9N<Z<m>A0h$S?}Ae&l23ZV~5_ZciOe?Eg&l6{`71XpQkTV
zyj_pH9saW7dhF2~@Ts+Fe^TN>GpvidR)(%Cll2X5dN{KvX`PwNaYvbB8rTc`%l4i5
zK036w7<EJ!H=OdBrZU&ramBaW`+Nzyq2{>^bTHXpT~<Y8>&F|hPlRsZ;gC7r5ftp}
z7Ttvx=~Q@M?Rq=I{CZaBQ0u=LW4ZMY!r=8vUMrc2C4<Ft-*cmsr*fj2o<^U%v-R<z
zGMgBP=Ja$lE3k_BP^v$KeWl5nRKlICZCQTiUtZ;MpG*J6BK|t=jZV+yafh6b(c_Ue
ztyBLXLxb7V6&;rI(?zS*lnFW`3obg#>Y*g?2dn-BNct4CBhBvUxqhFwK99afFA7S`
zr;i=?7Vq!pw)V~ssxWXO;%9p%IM?Lpm@kza5ipqkNPSG9uNK~X>vziPw;4F%R(j3u
zzD%Pp`LkwPFTbj5<39p_B_*bA=FKER!Bf;zJ*mV06C86-mUrIr<0Q$CXzz-00~)3v
z&0%}le%?>F|F%xe!zml~v(c~xM13w5bCqS&>$&4!9?-vkh~6TFRo4=CdN4JmRY7|b
zN(AUKmjREOBY%OiC@UZ7Gy5^3F(Ji4`&PZ5(R%pVZgu-ju+RvO(1JRPNpnGq;j0#!
zJCFZ;@&1Jq=K$OaF_yj%(tc6e?s*mHS$%!4@gM5TEmoPY`%#@{iEpK-iL(8*E#~Qn
zT(cgq19)+om5b1ca*AI;lQq8!y(O~tX<PaX!u_D|02=izoRj{f=kB#~`@^v3@PsNC
z)vH$BM68kLYZ8Uup1F^=FZG;%r3P<pkFG<r`ow}+4_~JhoJmJSP1oKUs};PxP1HOt
zVSgRnR<KC0z0Wf-Qz`gK!`H@1pL#%nfT_SS@+vlZt>(!nsG!(yviv*u$~1<wvTe($
z2Aql0$hZctN`bbaK9=f%GIR8@pwH<sSRcaq9sjqH1n1R77h{%(4z#(^iFjSE>Ft>H
zS-(0NlOIT=zF1t;37hx!tXm7xGOn082kHHTprGNPWa`^4ob?zd&SS(HuIC;(om%CT
zuac8a2S#3KJniIaYczTPTcP`O6iMq^@$&V8*eAs%i=Sr2vAUwaI+zCZk5V7C1uh+F
zyViaU<|Y{Pvh&gvUsg#te=gG*ZH3+~`w7QXwq3HfwO`&{ILXjG$VzsDvD)HM=&4Yf
z5=XX7yfeR<78r3!RsOFCFHzDYJ^r^!{-noT=PI}Syovn;wIG<$4^3T$ic|wLC%<Kd
zq_lf`;LaNQ7LKU2CvE#pbb>^%bnc%=Vztk|A8BsyB68&h5Yb0)85eWIpDxtf_fuo1
z2Ev71&M><93lFE}5xl#I;55sA)%;16ux|=s+5hs8*?-ToG0v8k)Buk5nvVW@0~V(v
zG4Hn6M)$0_Cz|-8%@j9}eo`eL=a|&p?y36o4QGY~PcMr^?NHcfDMwt~Su-V~NrQVU
zPZ{3UKfzy1@0#6zYiQ_<Vh}a4D<fjqpzd>c*V*7sD=*^uyEr}5ww+4liqQ#TUcURv
zv)C%4PM*T9P*VbSl&S}-FdqfM{{f#0ir<w@>SJ5v5RqkgqR(?h`_U8{`ky}|^w%p&
zD+1O9HTND7JJOa355(d)o!3kUakpg#JXB_X9gjKzWF|@dO^DLzCpV%8MLQGj)>QAP
z-+w$%9;jH}a^hLL%fa;V>z7V9b&<5wSmqb*7X`1D2(&si+D~6zZ5f;X7!r*foE-Gy
z%hU>0rw(<QA^q=(XtMZIEpdlyVQQU-lJCF29(1DZo;%jQ8pyndow!7XcX7Va{U~1h
z!gnEQeOQ)8WB4+oVJ*2ng>><f&zEOXm@BWnc|iz<`p#_&&9V`G%6+c|cjdHex9u6t
z7Mt<vgh~bh_`=6b{vuOMpc6eYotgkK+uFEbDn}w35g}1!s*^PcgS*S^U8Pn}%TRX8
z@B`%>%vAf0cgqry`?tmG`Naq`SSsLG{YyYMUhXw(bBdRD{Qu-R8+IeIH+aH!xX4#f
zyD=ZpDU=1GKaa2~UFrJ-JpVgBGRoF|dYAv_0v&7hnW9TPnDlguBE{HVK2pz`P@q=V
zTEWJsS%mz(T+H4)3sxH2jZ!Es8+}~0;3Cf2rJyOsAomCi6)+yvAHUNKO}{HN&T-73
zlMRr~y0X>TYq-^vQ9|{dsH%c20@iZ561{?$6W9MyI+Q{F_hx3l4TnBpOdNqdiJ@yZ
zO#HDsm}z?1s`LIwZisYyp%K-Wdus`z(>5tq?<Kyj337~hxz<honPYymggt)|s=ksZ
zZ5N}a$4{DlKxsjNG5e7zOJ&OLCYmo8GOX+}-v3==>`~N}Ts^!kE-9nrp5t2x2m^>x
zM%$4I_W-YeHRffT9z}lg8@R5#kiSj{`t!E+43y!!D39<^IDxUzXgOT<IP9b<7grq8
zV3PA<xZT@8V93UNlECJx-$}g>D}N?T<sEIsIHAy>H}ycwe3!5Z8LVp0xT<3RCGR|g
ze=jxVaGOOa9(5cQpU+ZUZ)y9@aU}*|Sf!+Iut;Y`7|v6|JMICqv(Gt`4mP!3&tPl*
zMG^lo_5ibWVG0{<I~MOyRqv*xq67e3U<CIPHo$-~jz!<Pk1UxzJX0l%MS};L7m@v8
zY?J}oC8h#&q>C^1{?PR^=&f}(F$S}k$svV^q!mQJ3IWwaFkn5Xz*Y;y-5gYAh9Yme
z#Bt(fBI3{zTIk$AHS9ji<3m+J&=W?RM_=$~DrKy>+B}zzek$D>_VH`Ea2&g!8%boS
zh|w3;)$`=*SK9b$@MUN}decYu?Hz)ibQgjCuMEv6wjbUlZ^w~SB-{!`du*ROT1RlQ
zmc$_Tti1F6zt9Ufnwo8eiX#V13N*^2o~vsri5Keajq(oZ<ELSGK5ZMoT$(%mjJl6{
z8x@Z8o?4d3wlVe|7g!HIuh<Sj^P{`qQorY>W1*gDcXA#Idg-Cc;L72*Gxon1RWZ{d
zcb!Yp11we>ZL+k9o;|x<kR@KXH;xe@<A9nR+0B?m)d;w@vp}=<Mgth>zc4j3GEPgN
zExdC_wVmj|5}ib&wSu;E&t|6D!ay1vyi~vcVSmxq7Ds7QzjtbeaB<86u|NOGb{;@3
zvYM(e7hBJO9~^X&U_P0;eQ#RNiUN86&y^UCwVCoxn)1OzVY^q|EI)jT>)=)9`fe_7
zT)#koaXSYO87BeR4BGO74mKyIrx%DnMO*Xj;c7eaXc%p2tlMWN^@`QT!m4KJ>;Ok$
z!!-PJp5*-%nn*)=o@pYg(1TyYi6%(@CR%YwAsTKDneG9-rBm(%zegeksfXs-h6xjz
zsYxHC8tD9vxU*G&v3A%c)u>$9oG#{C0us?kheSCfT5J|pFD>p%gugx;NjU4X45Gf7
zZE7{tj*;;G*;61VSI@oDO%Rxgi4zfX)T}E`Aqs@}=6=RQh6*RHS9VDyZEFDGo0A=^
z&I9FocWQYF+b6EIxqj~?AglexpFuvJ7$pg@UGflGPY0*F@TQ8C1TcmDa{iU%WUn|7
zSRD3gns+s*;4zt(m{o^$>-0k!9o@+_6PAJj;cv!H<xKA7Ou3Ewy%T<%U>IOxeS)9x
zD-<pNf%uj~vZ^Iu_|BjKh*kp+`Hw4X5x`T?xO{)kYfPhYw|@4k-;te}*N7ql>{&>;
zFYV@4RW8)iUd;ri8It_bqV+}A_Rx~mP@C0cUxDHs>o3s8%<cb5$1ga>6rudO9oQti
zP&8_nkj3HU6tS*|<ectt!RD{)vM%<6;b&`hQ&X~xwyi7#$jPH&H>a7wx8o7%+B>ZJ
zd0o<XTTg+lQ%Mk2Aa^adZz*BxFz+40t*W$z7zZo1rSyR3wulx0;jkT2^(Sq`X8Pk8
z760Ia_VRuzREGnj8=#l&r1N3^#8?N}AMtBCjdp<?G9YSI={X`KA)yD9Pchn$A=ZNk
zmk=YT%%rsL|5oXP|1jhHc6alS4uz38_0Fl;Mn~U{|0qvzRr_UeLvQ{4?BoYiJEGe4
zaONDAAZsy~@h~4y4)=is#62YU7r;reWn}C16x@827Gv=H{v!c1m#nW@Y%lrcVL#)r
zML-S<F7|G6d+o!B;s4ytX}G%?0!tfn<6L`%VksL)n$d6>k13aB*uG~o7@_MT4f<=v
z-Jzq&8UDz_{c6_unCD!~GgL?>R%q})q$Gfljy!7@6c>-^<83BPHuo{!K<oB{+9v}T
zfr|PIKWeDVn}HF5_=kfOV7y)x3Y=Ms0CWyufQ8ICzH&_6omZ@ji;~#9Zz4BBQvZVT
z2lf}0Di66`>d8>Gj@dhtWro*u1>GgiJ50^=TruRV@tjb98`s`$nOGe}V&8I2(5F6@
zOtK&`Nb!yi9RU~tEd7l1>11%Ru}V=br{E&u*58UPaP4<E{Kx+Tti4zn{|TzIf%Qy~
zcBJCi$Wn)=%dv*CAd+Rq>=a(1bC0mh(5|G{6B^z3<tU8@WkYA{l+58npE&%*AOzEc
z(fprlrhhx~u7+R759Mi>h)!i36nR5c;kceR^8v5$aSrBmr=o^90P4*3ZhJxZtE!(5
zpXT~#Z+@h6l~~ftg2gx$AIGoy^cN6SN%NjxnF7mI$m^SP>7CS?02gj9s$~$Yv~2y0
z_vR$ShcWy6g&b~F5-u^Hfkav;@qNx3Ugf49kBEUJf89U+V)HDRk%~_Qe^bC*{#?Cz
ztASTPTahm6W52#f^hXRS<-B^8RW6-^hMQ7zle)d(w&vq()pA4Ufw$h3Os1EqlWziC
z#3fE`jWLMC|3v4PW$At`dqYi#-rnXG@S1PaLt7ho_DpMh5Xzrq$Raxla3@&<wSSr%
zThn*-&h?i=PotHaNkxQGvvU`MJbfmnr9|+2a`8b%7g$WEDMc(+hV0E5xI**>{mf{<
zYgm2LF7ca*N=lCnF$fDmtHuD<Yd>P=6%@>@xjwPd&I{am{|ug8Fdd+>Uhwk3!;j}n
zRCU~!5@fZI<&>~&qPFO>&OHZ>v!+<32!I&mTL{LHdF@I3CaBzSOM^lA*2&CPmV6Y>
zn{^jczF;M{asO}In~imQ3`^PytSsH2v5B}t$x<}EiIOvLxqn7F7u;q~OcAtcF^6(r
z7<uAt>;bhnuW3D-xrW{PrD3XRytp8ytYhyylR`6O|09j3LU=~jSreK%^x`_@<|YIA
z%4Kx(F34pQPg(Q2Dg>8T_$^hXXh<p$*d2`L>HL;sWf8EJ2!%BtG4UIBhi3{mM0c_m
zi<oq@1+A^&<LqX(gLLJ;_J3*NebkpW2vG)bo-)xPXZIgq?Vu)dx)g<((QeC3$vL+!
zfXzkzw(Di%Re;s!z9}I>`76nue40NN7sfk^j?Je|cZDLUfQY*s!d^Fc?<VNsV?A`P
z$&Dv_SefEQU{PRfwKK72({b7x@+XgYIzm23@Lm`v{xNYX|J2dbVM=>jgXzbbfbnJ)
zy^S<q)KgtWALjt=?L)t~#xG>va{yMTT3naTRb+Wcii(Wy_VuAdKbDz)PcOqy@NKWi
zw4y-*Wg?o!1AW!FiwGPnjz37*bH$|6B29VtogPpjZIRLFG#zQ_l318PM;V{ZkK^^i
zA7`c{bYsDmna&XNYQ-Mk%m$)2JWz;nWW@|0yO2F(DBs#LSGx_f2_S)7arfmO#XiAk
z=aO}I>p!%2&3t5+T~sk4%m<CN9h3VN4rdGVfI$c|%*!+HWN}L00`!)zRxYnH%ZvLZ
zG6lZEOU#22ASlofyhQxZS#UL`bsBQv4`M>3?Ft27?5aQWvM%pB&CA2727bVTAkBiU
zzVOti6gqC19m@+E+yD9VUE_U|Ksy>0X}p`UMD8gK>*O=AHn)mF=3lann{SADLi7zM
z$(`Tw_hnj5-K{?mYcxvGR?M6|n~pZ#tQw!;!H|Z-5M>bo+KBwgH*N1WE!}0_aJ{Z?
zz+B#&&fiUUgNvbH;;Q8|d$Ba1YsN2(XD5$?G9*F{#NNRP=wQhi>%y!1;B*E)`qqeh
zvD~?%4pu=7?*$8XXi*kix5?tL8zU1Y!qtf|y=aSC>Gfl4<0^wM8gIczP|#oASkDBU
z1t$}&JZ7=X=z8Cd*d06Q*rmDki(js$v?rCIA~N!g*N$^-kU=rZ)SBwaOjn*n<};<6
zvcI!}T9GZK$7#U&J^%dMSc9f=2QDB+eIEU)7^glXg^Bawnb`ABXJ7ZgA+mG8v9#=d
z;RO9qdke;t{8dq!I&a0(@>#FY_)Zp~9%AQ9le$ukZpoTlM2~jg`2Eo)X}R_J&*t*p
z0z9IpDxBUL5j8a0Gke}>{$46%VqI;;M-Lv!BRQd&YK3f*+)#HZFG8)sL|UXS9Fg<6
zKx{B{8*x`gw17+kZG<4C7sl|bqM3wgab`|?yh90<??qxD1*Ok79{VwAWKQi!)JMO*
z*n|Y$OkStxiol3fiLs;MpUlES-GW&J3q16_eW5eivtX-btBm5r@SnqLo@&c5J(T7I
zg=$T;p7V0yC$7Vvk|JOao*tmPZnx(tu9hD_&>9&!+geoX=+@ka9c36LPUel{)l3WU
z1613(`#kb*%Rb)1aiy=g*&+zx@NaqByZS)0Q9T;Y5`J`=>4r}A8&7~G5B<^yDlI;n
zmEHHQ?S71gw%5#_$c;{JUrmFiScwu0fR1#|WZb3i4N2QdjdI98<WYkErV`Qf4u(z{
zqi+3TjOV=ii17%15DTlWL)yk^QXy_OX<p5?{fC9uz1M4R+_hN|<lr`(S1mu@x26S(
zjw~%QQ?kP8o1ek`&N@1z&UwX$JGF+KMArd)K4TBfP*%Par<P9h(a)YAa@Ii<(M&vu
zLjQi!Tped>g7&~6hQLF%Ox`WAOx2v4D;!#)T=mxJ4zyb^EuWa{9Sh%+PqOry_iAyB
z)juDcfp9eLop0H#YmV=w6SImqr#|s5jm)HE;-z5EuEs=u?=M~v0$?HOkeJ^?j?VBp
z{10hUb0lF_;h%v42<z?(d1P4%hfHI|N?4MuMjU+Z6A8#6ylkLb>sui$Si~O3NF&|q
z)Rb#Cl2NS}H!q;r`;JUdH4n7ykV7|iaq}lu%&-KI<KhHdNS%J0mnS(}ctctJ+7?Lu
zh*$F2&`lU4GmS_shsq}ZJ+GFN&Get`YR4cG{7=kW?t*ECqf3CkvQ?~bANgq*8mGoY
zZ)IE)D<vI*R;ELm)2@S9^YmHQdl>d!<sAN#3n<VBpwdA4dy>h|<o&}IS4+_Y8;6Nw
zP4HqWL)i?tm|A|L!+}VWzTS{pHIF+xN4kqs1gxo^oyepADG>4vK4V9#kI}h?DiIQ2
ze>PpJP3}I4BJ}Gx+`vA*TBMiZxJ%36pXcg~Xq`T%?zlw_D;C}@U_ls~pF)}#7XIQ<
z6K#-ZCXNY54%qHwq8G@gSL|};XC+Cv9q1`abyXrH!%Lvn<=7*sqsE)Jx&M9;yT<8s
zyot=u2tMYk-ii4{#oi#QO5W!UAR@cG>B((@Y^(&Gq67MsJlamXz<su}FHCr+64Cp}
zf&riST%A*CX#_<P>UFa+$}yg<@u73`hw9_SMOVJ8iKaHd?4Z%O#mGHQ#FoS#qy5>m
zIJ<=;Xs>4kAL%@R{lx$^iABdRBl5yt0VZJb-rUL=op@I_pPrqRR2Esg%mcKwybsie
z3<6%RuLDo1Y{qtDe}ZZpopfB~GS1L|;n*fXU}Iwt+cjEBeL`4J;Js{`dE=PISo&P_
zgBIwtE{}NEM&;f_b(j~8x}^S+gmvTweAo{RSzWY6R!lx?j=F~Dn;DL>HI;gYyn?6N
zF!X*XS5eiT`JUWYUg{kLk{{1}Kg@OiB&jZ^b69lAmXM02a9hNAay9QI%D}Wvnp3`a
z(#6pjm9F<jF^t;*;5R+ys$R=_>E-{I>hNp~7{r;HHyk>s)`a(1FJ_vzdd$B)_fz;B
zjmGPOnZw4keW0U@<7%nGFYcX=?d?vg*uSTaObwU+Lq0{71l)%FdMn=7*64&O@ig)}
z);FuFo@U6ymjOn7-<+2r<Uz%C#FD(s7Xe1)QSW)#jR&qVBV?r?3&po6y<dU6Z}5md
zNB4%rdWqfb$4yHeYQAoSt76{6X08Kx$VkcEM_dM9W*i(dw}z(cE37d&6#u|Frg`To
z88iuAy8+^miH!>F);$i4hxr#NQD*EWmP#K{t0>pYJl9qno@n)3zS58SX3<dUKb&EK
z%=G&xr6gwPU>UO(f_BK3(RC%q)28?xC<FspS<?149-PkM4R*TG$Z*b0NZ>X$saJoF
zV&>y<*xc6VNX}iW4wo5v2=S#i1zRDpgKq>aQh^}{fWkv(`s(MG5VX(WsZa7J4}ZYS
zm3<^28bfOWbp`l>%<C44JB-D)d!4{*HEdo^qp^P5^akY^yO2`$={c@#1{e)8JDE5>
zmzUl1z{4$Z{&X`$g<N_<q6-vz`nk6bfG-e><x$BjU;TOV^*+*DG5W}f9QFq^cUJ2f
zP3;Sy*6EzBY}0KN_s_53nApB&4i}j4%Z;QjRb4PQf`@45nL0uTKD+~n-{16$hw4|y
zG=m++rfi)O<HT1PQ@M9nPg;*!TpQP})?b=Y(`Y&<d?|FGHEyMZ7v%~Mz;J>L0v=tR
zVX0b{6J$C?A<(TIr+K|lm@vjeAr$tLP=1O{|L*8lNxpfm(}7v@lnC%F%}PDP8h4G7
zX^{qYzXO{f5msL)Rw^d{Kz?9T6IASgu>pIt8Sd%A*{rwT^c@8Mo^-~d6~4^UJr+k+
zW2(MTK(tH@0kV+5A?;hxhfg`uW?-*2t-OyU4V^}Xc14Cpk}UBL#!mvrxsXX_N3O}5
zvAch=$(<!(9*(G<TD4;DcWeU88$_t4=ox0bR}z*=uId$BM8@yrsE|StIx-I*GGaWS
zoCCJMu#}wMn?Wt+z4)59od$K|?@CVxHKjaZvwJX36lq3*wk{ueXze&04WkRru==~$
z;A=hPg8w=QlN;1(U|w@RPJ&vq0sjCzI$jZ<%o$BOMGy?4o#N^9v`CzT(aiLNi|`s?
zEKhoti`Ud{Sr2C#oRQc}@!i-P^~~kSp|B>7NK4O;8EIU*N8fT|1sEqc7hSMB-gS^^
z9cO0^lw1EMf_W(}hiDD7H?u5DAZsv^`$Exw-^(tZ$l91R`>E&~3jzrTILBVaWPsi5
z{*fj!5cb4mX~a!#dkWiaUd~iV!6i;chngRGiL*rd)f_1k94Jza8JCre-cB;(px)@%
z%UD}O<f(jdd!XA+;SNvz4Wd9D)kR{?4zjG4oj$21_Qk>v78aX#bY?^do40b(z22+|
zjNl<Nvy-^xVoe6E>xL9XV&2z+^{D|}Y1%;7fGwk}&;2>L1HblEhv!6-gIfH7*!}#;
z63QtJFn6dOr5quV-Lqoj_SLN{+8YcWQS>fidA((3IUlV@L#5Qy0Fek=Y~Blo8BR0n
z?(6U{WWTNzpLMVIF!FL1_~nq=7_@lR-MHAjt7Kcx(Yay7)vf!?oWp^yi`M^dSAG+}
z>x%~U&yUAwWf!gtE6?k6oXRUy^rvWq;qhwaB*v-Pg>IB^sL$vH)Q}eVQ;+`D;v9Ln
zf(=mdsM(WaODqFuRHGlUjLLDn^u4rD`?1RkRnmWq-<WPQ7w*qH)WNjV(j>u`^6;&j
zuU<&0ny5@==9Hn7H#N=y5a)lZ`O-)380jk;>9PIw>5OxrMQ#oJ;389<-zBOUgNrJN
zuHtk=nQeWMFmia4NXLLWI8yJ$8K~^w<SA4!hZzTnoQuoNlamPOK^`dLyUGhX_T&-r
zQ$d8$xfK}y2ds%il-}Q=!a#j4itO@y&sOkyMa8miq@(TpM%AR#M*Mp$%ow33S`zl3
z_mR5j-#Fvq8Cx5RRkL9HWy0+#4n6l!Qzs3~$1970Pc3TY6PM~{M0ROBWb`+CZom#9
zE2N+*Q5V)$%p^<1jT0bkwmYgX%!~4lZS|P)X!$Ec|4m<Jkz(CS5jSRRo0%!3#UQ1-
zknXRvqj}*$%J%n^T*1(8j1FyjLR0PA>Ky>|q$R!Y6*K0+GR;0rl89B-M_BjH{FzIb
z9l@;@jO$Ws(t~`phOS(;&)~(R5X&OWO2)A;%K$w3v!Qzz76ij~tviUjIijK;m7A+l
zjsndRV=Cu3ndX(@UDkhWm|U{H-Gwzsri~>IA;clCH;Z)}S6B+~;M`mfzK^3TjikP>
z^(gN!;VGXT!zgNn@B)}@0rd!E;7^_u;l3QZH2X-dDxnQ1nE?%wA#dk}G%mv|o*zLm
zeI%PnN^jzQCDYlij((KO7gU(JJ$lube@u{Mk}&*x4-qYc(Kah&I!PtEe_Rvf$tv5C
zTYW2$dC6m%3FEQvf-frL&xoZ8mK&#_Lhkban!vIr#f82#x_kcM@#VbwF00LdKlgCl
zUU!vXwCQrk#bwP-_wEtTYCr2-enf$3LrX=AEc6KjzvSTgG}k=&DJ*$bvyw^ex(Si+
z3~WdpmGX$huJBE41_mXmXy}wl?ABj3Wd~xLJOs#*GVv9>kD$GR<r0$(I!Bu=>l(<n
zF%L}z<lCl!*yyz%a((od<ElTH0GZ^ni0l`1Wjd#;#2jpp&k8+$2h3qO#l#bz#nStJ
zp{bA8HI<Ux(s}>W(5?9Tb-+wot$gfefECm?O*&tPQbJ+BC<uXJ@Xq{R5qrMA&sUsN
z#jEY1h5Mh!GD%sycDDF?UaO_#ykS=xDvE`jhN{BgsbYeV0EY_Mj^sdj=IWPLc3SME
zyvvoXPd5MVmn&E1N<bXr3n9+&U;CJDd)39huv)1%of%jXENgUCKU4J9EM0!2!HeOj
z^Fir1jZ2t~pLZt&iD2;(n1PR%7k1pZ;B%aLHZ1D91frrI^af893hlG=CliZBg!gt!
z4%9^LQ`A9<?jeJ}_uEp3^gb`pAPYj?p3x#@0t1x-TR(o}u66U;21d^c2~K0aspF&N
z#!Xh}=(XP?fhWa1pKjTAau_4hAVcD59>s9uZx;0T_}3ihkV+sn9W*Lcy&xoMouAkK
zwu{FzhebT0)zF|+BkoRxPaW>efVGHm$F^tPTmKpsg*=y;K`&-jf?8}jN1f&-9kPbO
zyME7C{Zl%COfl6fb2l6psV2svzYW+D{)M0aJuinHpoZom(VAsv(f}O|AjrsHjJ`%+
zXx_D$e(Ll3H00I%IZ9`}q>+}`sq;U^Y?TO|#jl<ajWMrX@{PLZDsrGWvDL4A0!)>X
zx2qfvxkzSE6_aoDV(B`(H3$1#W;QmQG!hz^dAjr+s@4m+`BY_9Y&3us83tE3$W)h&
zs{y&DomU}|v0MCi^JimnGKjK3Q+sd1>Tsoh>rHGPnYW;pcMeJXYRQ~gK~RR;V|(8L
zHv0so<*m<(<V^{vrehMGdU#&Fqri;+msv*TEUn{!y5^>Z0LAFINvT00jU_~03{^uk
z?847%uaI7aYK85hUoMKkoWk^Ro%7B+HExZ$m1d!&&*uU0)}B{#nhl_b)`{O>iz3m*
zh{M)RIyW*%Mz5v1S-)x`z_Kz4obP0EMO7wq9urroLS!82URWM={!J}?E~L+p@Gv{{
z>bxB^U@6=-KO|m&iCj#h$YVI&dS{4^$DKyxq8x&7BP=0qy}^m%@N@W@fPp59YlWhe
z;Ymq<;+JeulO+Si+ZSzA7Iz~wE<kV)2gkCd^R+Dp0rDdoXUhxK+o(e;^E*!%peVCp
zAxHOAtOm0~p`H|L=To_TpE-xr&kea_*bUxl{YQp&8Jde>1%xOXy^i9VnQdAIH*tTz
z-r)O7W*^x`w+8$uLty4lYH74T4Wm|Tb*5#_1``^e|67sQl_LT_kN<GlYhq9Y+530{
zvDC*Vv7=PY<X=vGYm#Q0*koT)t&)$l{giuG{b*uMpkY59y<OSz`1M)cy`QHOVJ}p2
z75wxj#ZsnL$a`rmT$01Hs)N-pk3M_#aTv5O4&iF^d~59{5jrg~Wz+#FO?Yp4!mf^v
zxJaIDnq1%)+FBh#Mg;&%8Y0?gSJ5&HAL_Ga&{)RBM>0!)Y<7C?74_irw)3OIn@?Ps
z=do{U=H`*|sN}U$R7qW;)p{9B--&1aNkjjjfF(@NaNf8|C^CQ2sg3FPqnY62G9G0r
zToDtQY`zJ8XYoq!b=>me)iqN$XNgQn0rtZn+d67Mf($aN$M7%fI45%|Cl!@2-U@)y
z^qqM@BN04*r><Py#DJVWKWZ<{O3`;L=f4K-yb<Q_JPpstG0Ui8gl*$v)J{FFV%ysy
zNh)y?^z9&|%O5LYQ|$Zn&Vi`f56Y>JJ91sqeYw^PPFHA1AiK?D)JaF1J_jFU5rjGm
ztQjt(jbT8q;PAC~Q|=wQ(%G&y9wj<IDiJn)$#|W!OH*ZCve7LOLoGbZ)|qtYi=6f9
zSc5ta4l!>c+1PYi?~!J82yNZw)RVYSG#Quvzq9pOtK)Kg5W(`Lif_X(V?^~KO1zHP
z`1WKy(UJsY-a>2sE@Ab?^G#d9(WtVAW3p~&fG;5LJX{M8)W9cY3?t(6&VZ8YsJt9+
zoUgHsR3)pO*7xOS(nJYsRD+9fq@>T@Dio@)ybn}Q3s6@f;+u=K+&T7mJz)Fh#k5E8
zFK-tr_se9-18c787uhR_MCAKdVvut9i@Z>DwIBeF#;VcK7P`B*>$&Eg`!un39dZn?
zzD=8-N$lq<xg$X)_dY(X6A(_<LEeU+T${KWCI0a7JmXS$i#&qR_X>Xp$ZP%_-Dv>M
z&`m|YGp>9a^~5P|7Srf~;9DN!kmvrP#y_w3gUFDn3|~}787(I%?3i2QHSPQ^|30$n
zlga7V?gJ-<1bx-=be>CG%qQ&G@x9pPR?D`bzp~Co!*j#<;7W^F0_C5Bw%8>Ep<lIf
zcYcTVU0pU((GP`|HvFv%PbIVXdNU{=qdo}&yYSx#R%`kFeU$`1kg;({Q&zWk_T+y)
z)yK>;zAA9=p5XDWwSjei&|YXfBh-hduKs55K&|{3o<zJ<g(S)eHvi4(<jCH%TLAc(
z!RrqoEVn-Ht$XxSOgP)w)rA>!q(g4qsA5(XgFv42wlcT`LUjG<Krsv`x}0^NfCYI|
z&~H_@pmxZ5aq1e0eN0gm>Ir!-R@`#7Nmlbq(y&VdS=%Rt<laOF<P`8%l+io4%fRzd
zxzl6p&(dFQGr#|FX<2m#Y<z)N8sOr*II?MNr}8F)sL7@prx@g+Seo{v*PoHo8n=%!
zm4K$%cU%yDmjQGIYw^)K&hmqqgxHico`B5NhNk4jrWRUDL3D@pQ-v;Tg%fvHN+*t|
z!%a~{X9TWwz7ETrbv_jG1TO{1D=<|bHGC5<$)V(&kMqaOGl-z?ymVQ|Y0?NYDXO=V
zRMjO^%k$AY*?gEY&;5K2i&VvG41e*wuIswv$7uAcAu_+iX|T%&rf8EvF1`Nw{x-_N
z>q6)D#Z7~~BP6{~fk3f+MSvs2$~!BNks-6(F`A`NK_?^SO?!cb3i8#Hr6_^AmNeJY
zf{0Ev(1Gm5!qx-Id}4^@_|oGnp5s4_(eiT9{aMzyI6-$iM9N|$gPj<i8#qAeut>80
z;oFksDZ?XRPBuwtsBRj={o3~NqmFaKn!tc|FQT^B1pt&cv9!`h_4Z2**{?ZomJNr-
zrL|;YVcuD}%{LcsZ<NxI%>xuFPshsX3t8Uo=J3sLJ3JTM`S`nCR^r~Er1zb+%Qgy(
zzE(Q<VlJ*EJpQ0)miam0_^cPj-m`L1=u7KYrMDJHaxB!XZ#3NSL=q5~fAAH3C**w;
zWv05<Q0hHXIIXbo#;i;z&~l0!+F>D9h2f{#0BJmNCJWmE1%}yF6;hTHes5xdlV=na
z8105A2Gud)JCv;y%pZR?IXvpH1|EKi4FIqas~y`maMGAN>-Jbgf0oM+-4^a(3aXqI
zxa1@WfB2BJb-^?zxrIcgn?TxoR6yzwTuwnTeaIS}h9oyElzz6L@X8J<GNoL6{CX}3
z&$9WivdxgYq^fStod2oE-^@F?A!ecJW&aUG<N-Rs*$OiIN0qdQ_l2#B?#XqA>o)CQ
z&8<fDVYvu$e+z>6=?Q9ZA;M^w`Naa?yvWn>mhxa~yhg>`KlfwG>oIY2K7PAv;bszM
z{Xf?cc^EFcF}ZL1ux~L0Reo#WgqTy%V6buFUJDeiiF(*>UXF1XBp2@3EeLP*Y+4;h
z5K9(Dp1rq}=&ZvcTTc%EW;I6eSV=-Q-81;6Mg%lG%H0<o?B^@^Y-(w2yrNB6kIpcb
z!I5V-BexcsJHi;XS%s5~1pxNpCryv-nSyqYMY3=L;0B`p4w+c&pX%m6JH3p^a2>^O
zUVlg9wr5GFy`nj4WOoL|{nj4wLUH;Hv}I#|#%hUlG?rLW_@S&~0yagTHQ|la`LPqJ
z)*V|~$zN}FI(9N%gu3pM-!8X%ihcNGqxC_Dbr}_M@K9X_5s~;ux{y#lP{WP(Sn#>~
zo5lHw<^yHhafu~<P{JMY788dljkV*@>f@IOE)+)%#sQzZu@jN<09jf=t-~I7UF?i&
zsYKFbJO&FAyMNa|X#I9?KQ*!;n+jV|mF{~8p;rk%Xyn{uFtE$==DkACfB3&9GQ9tc
z`KSjBV2ZM=w!ihYGJOIo7l~7~M+Gz(0zqt7;(N#;T|))e-CoU;ob+e8ZLhDR$7HE9
z&t)I08sxFkyo`<){mSBNVAf>$X6&(2+<$Ba34H!%U~3bAB*gFIc`c^owj61DLQ8TI
zu9`Gre0@KkR7?8|AqW?Wx(F_4DEhp)KWzg#1SO7-=Hs8%gDDW-{!}mY+2B$AQbqzR
z-6H*e4l(M3exe)xNuu`)gxAAn%)+|fdG)^X(!AGEoaiZ(yots-%vWv%-&fYZOB%dT
z;D}q|`A}nCZtjd-?K~D$aV&8a?6ZZt^7g;iZdRaT_I0JpyajOh_)aG=xz{x&x#k_W
za7<a}e9ti%%Ju5HbHB!U$9DG>0r(CNX?!Z1<VMY$_FwDB0{j)}x+Pq6PqLPB<Mho!
zS|3=oL*_^y!yar7@gJwu<t%AcPI4*L^4UfA#f^lS7X=H4d^oTqtTLwjmX{bq0Zbo3
z`1Nu#YzLvIww6m+WU%SNTjL`D$xiHwFG`ae7EaTkLR=X1VG%AYq*x*^de#q=nID+n
z4G<Q|@5gsN_BffuU!r7*H*?|{((ekgfkGbAm3MN~;11WR=%)<WUI}sGznckd;MDI5
zhx%%CS@UMf@!Q+JLj!Bi_566#&DjGn$aSI#MfthC@k4>Da5L?(fgUx28|`jH9<4>M
zC))~EvB9I_<>|8nne5LVs=|uHERax4T#2<vv@IRuDV45bToa$@s9r8=xgQ-%@Nll{
zXu-DaaAth(*<zFS(~7dfRq;qwN}3Vy?pOj+Lay+Wd0nP5uX0h1IG)YIe(^~7bFbQy
z)P20ON>5!n<mGy+paDKPWW+S=KQg+<F&c{&E)6nFTm4A@Fd+7om_IH$*Gq|-+pC$z
zTH6-tq%hb51AdS_uTn(jsaldmo97TizgoT?=(BJC1C`uE4&0SqvpCFvs+9`@xbRKd
z<SNE^-LI;QTXkEbX8qPeDY$4wYXkT)aPj{X9;SR1gsc)uCTV*^4QQ^L13cyM+`Pru
z3Ha|LGY4!ZV=-84sy_A@8?GQSjqlT?M+#CCt4{JO=R^-LqBpaY2p(`&LG-N4S+>2|
z4jnVBnk<61&kL8!%E{z@+_~tBillznsuLEZb!769wjg$L8+a9)_3X>oPe*@B@4?-O
zy8KxRSGs!!<*0MLsF2fMEkJW4iwr@_;-APq0Pea=+KMNwNM@T2RZ&bqK$rF9r3U;g
zhFxeevs--XUUg9gYTPRvg7;PcA_>2^)q|xRHH%lrJuZm2bF>>f`L7?6&lD`^+8w~t
zC>AcyMhTBoEA6n_E`X0|Iqe0+a!g4#!Yg~I;LhMZdxH|XsSE%Elq)`N9K=#CdGjI#
z-*eUNl|9)F1I57>;!nWemrJD8Nr8>-Lb<m!oY)QzpDblO9ewHEr!Y7s4GkZq`c~eg
z-kAEZI@IK+vwgCg(l(%m|NVDW7xM3K{Hx0SojruP_b^tTZ@{)iK^2fw&NCEkJC4%?
zXIFjp!HDd$y&lE$V5}1_(`%XH4yO6vLBh!@FeY~VhAg`VJu!&d@vuY?#Ec!&1?UVj
z;(Cn%avsn$P&ueeu&@S>5Fi2kC_JM|g&DFmvXBREazSi)HGl8lvwqLlP%xAta<XA2
z<`j|hp8B*K+sK>!oo&&d_kTyd;ow|!L?G_e&57UH=cLsn8}MkxN7B|r{E&(d#oZdz
z!`ODb2o?<I*{*GRl~xgDDii!~z!qT(Rh2Om?9a(#ohK-2lGn*Kwi!o|(EX7f^xll8
z5uN|RG7bG_*_~bR3p|rV{()-IGIQ~s2g?q*n)fGBfMlM~e;W@V@`D7)19!c&vi>Ow
zlv1{+aI=CV_vZn36-Itp4{zKRrTfz`l)T+RS)+n^Zjj!GP!yR?%A1$jM%x=;owHks
zk^|4B(Wk2(C_c1x-PrlGnvdgihYbGTl_>7`HG#A&s`<}D6}BDl);tLah4A^z%=&2%
zGZSINlO2RQu8*ilz;CjIp0F|Fs(iH+e}0O;3Idq|weJac%R(p4zWdB?!f|ieJKh=|
z%wPx9td@}B?A_EmI9D(CTh1V@$*n6k$CG9S^ATk;4oi;dX#OlU%!0fc&dw;&XL!6|
z!JG?Uz-}s--kBam3W_X+eTcQHoBW|#H==to{PL$1hE%!j0C=e=lM)6>i@z1TH1N7G
z<DUB2QAU4rxxSBslY(RM`s7nvb|r<vw58?$$fVbSAZK1$XXlbXIZX_1wpX8<M_h$4
zLwRAC-pBbnlUFPKJY=Ak`L9{4Y<a@oEp|otS}who`RRB%kKUFBKQFP<oGE#eov}-1
zzjdjQjF@+4O81Q_K(W3m?jAUXk~1?0x}St+;Hx%hj6QZA^8jvv=?N3%4r?)KygCV`
z#>!Fur7BMRtCv=Ez#i6iZ+)z@3fHk#eb{t;b*9h`0#szSw&aj#n8~l^RaDQ>s_H+K
z-P9eN8Qd_LfPt|bnQsriID5%))CF(DHM@}6DL<opUH%+HWz#DSXnFbao1(is=D2`)
z@sbD!YB!%y$m$szGcQ;WY2uqc;}?*qR<1u)dOzm0R^_8W#wmSHk&yG_{K>ScXW{+Q
zA{XwphbQ#V>YcN;z|0f)&}5Ry7`0IEkZJ7sK|*B;i7^w7&3hf3C2bQU(X@gGd-{4u
zBXT{9_5hmpi|zMU({0#WkOXQrI@HYc$9(>|Fv$z<KLXb5oOe>GB<s-Jd5^S}o<<(M
zl9*2^VxtPfLr>W34@NW!lRbsCv#4HxOB8T#PAjG8Uf-k@E=R3ruQ&R2zi;A%mNW+@
zgc4d@*E-saaqv@Z*R2ftK(|iaT$cD#3Fe+ewHBdF0`@)?=q^hUHrE_qe@K=KYJ2kM
zq44MUq`5`Z5Pt>!AAq#ib+4yA|H{S)3X3T;c_}TN<5oJAmy1xUYwEW+mdhZ@#DgLc
zTW!E6W2!b(O;dbmJ{I$7nx8lU6W8nA`OGCA)t~M_DrP$%RT9)+>E9D{A{UJ$0%%H^
z*U|~qijQ0kw-d#()%d-HD^x3K#`Q(mZN7Iq?;UIjih|)|=Gw0}*`xisn6Qdmld*9L
zzYKHaF8l(&XGxknT*p}v5!e%}akiz%_ieHLoT@Dg_Jizf?s=Zyhqsy(@DzBDPU|KD
zauE$U=4d}uRm!#l^UE}!{`g(QpTWPhN?z~Mi7#dyHN-z@IEM<LDh+6OfL&bgI48aH
zvhs~bAAKSXHJwS>@6uEH&7L6cYF>C|y5EQd;H(*mc1+^oh-0c6+U{E%`CV`;s~H_^
zf;%lppQX_vnc7}Z<F3dm4sJfb(}_&LRQ2(;n@f;&DpdD9v0irwsoD6lCP8B^!F4B7
zvbh?kxhD<p!Z@Ud<)=*ziHXyEqHo_FFCbr%O*cR<AAxXksRNU}Q6AyGIsqqUf0fn1
zx%P*BD{p1CdIIH~)`@=NuiFQ|!D9ZWd*@_;8?3MLq{=UFbsa04xW5xMgJ5I^C0z-y
z*$O33iyHcHBf5j=Me5T(Ur&#&XN8244kXza{`ekRedb?0O4;rA>{PTtMTF<u1;=b8
zb(K+KZ^sH&?s1`}!f!-g=!*uO?I-EUZrvIN9na?TSa0=cb>+^saNJ*UD?Fzp|8DiW
zoB#Bz1zd^OetMV*Mgy}yPvd_h66p}Ap+*2Y+^y{FwMCMF77*vvOc(#6_}JD=DNS|4
z^T(B5=Boj=P0Jb0^hOToKoCawpV<O9WE(dW3nQ#=?KqpevFEI9gl&q@2%#QY(=j8o
zi_6j<urKa&9T&8omqiTT*SW=HSlBagw1PeOE%#sY>wSJRY=V?|wpQq52>?+?3QFI9
zcOR*}5`7;)3MoQpG?zxMk8=IKInvCWj|NXQb3@;y_c7xGJEh%NERD71G-<(43q!PZ
zbiQDTw<XI?#iT_nOms?D<$hZJeD=wp{`&9bU&4tYFwZ-8>)QH;)?o*povt0sTAcGf
zJK^{yZ%(QLa2q9^i|z(Uf9bIPth3z>)=AR5W5<O@%kG_*F98h-0`5~|lJxglTJQi}
z)Rhqz6%uS{+h@LdnGQegoi(<0e~$g8P|~Ag<fA0!l}KM8d^wiS7y?TUB@4wE(nM?!
zSLEt7tUn8ZYW7WemydL02$TGJSb(XDI(n(^A@Qdsbp{Y1D8v=n<7(y{Ko>#0RgFU_
z-+4=JA*7epLH9cW^%0R+>5I9uU5bpzn({79tttU00EQEt!dE|B=gq$K5Go{00DDx<
zHwB83Vj9_+gO(qkJ`=%OjLJ6F_r@^dE|h)C?Y#cCg7;S?Zz*rXmfqFN48`JF$g>MH
zla6DR>7!=5%tc(ohhBkHhtSiz=Vj<TxFY$vcUu1dGHc@^kaK2DfZs)6r0J0!g0OBJ
zwI;<j8b`c=fO>aQ;{1Ia3|ezzR2L!nmQKAUzJh`4NKTVF(5+b#7*$bCsVMJA!rm6x
zd$NYigzD8R?zPd_x5{k&y_%4D>-Q+7m0M-miec%1sk_)5%ArfuKC?MPQYt*Fj}bYS
z?vdboeX_z0u1f`Bcv4}a7~R2`qUuXMSaNS|-A7_3d9AGejWqtB|7ql1ct9f+ooZMr
zivN{v!J5&r;49_)c^ow&fXzOwt6Xo8T7QJ2{mDeK63HC8SZZE=>-WbM#9drnH}frl
z9@cf(n0nV`Q7*G^GQ-N8!+B#5QI-ZxMa-bT>;m%ye(e`9h!O0{Rr7qX;Wu6}={8_n
z5|0_>QWJDp(Q%%|rtDPdx)@#bbN3bKp3O;SzXx6C&o5cot??>U6$4W%ho;Bt9+VUv
z3JbK^8;la(Ob&3_hS<qBKn47JVdBZLoiQoqJfR_Z;i4NBq@FuDF(afw$}&;c6fMB!
z)BKt`j3KMk%-P?kj#$Tlk0AMQy=2Tr<oM$$uWGq47%%TS@rbluMFeXnUT$-;qrjzG
z8`-~)&qvPdT!Ut@8@|ymmPqUI1bPVyWJ!hk-uqPPEol=GQpBQpR~4;QDJs}EO`PZs
z-MZcZ%w@Tw1UWHF4{3Z-b*R_sBrLz5_uOvI8J;>!i{#D8ziMk1C&fqkRs0!FogLy`
z28Z<zFyeYwfPZyOl8q-tUuEe8A;V32>RbGOm^$xhs{i<pD<gdoDw`WAvLo9?c6MZC
zCfO^lab*-j=B@0#_Z~M~tB7lF*Phqjm+aB+-S79$?{rSbIsU=@eBR^vdOjad%YPpf
z$JUfcb(<>H&On1!kq|EO7UC@u^IpwLTZ&pui-k|vJIGJJ*=l8gpVz-AyIxJ4-d|k#
z@=xe%z@mN&43mdIdcu1HV8F^!g0at{Sw%Ipau{6M-x|JQG=6WIA4mb|c{uPw`nqRc
z)2<$ALcMy);AZ(Vs~3cCREZD5Q)Uaf6t*ZJ7ZYknoa0-BW0|^Rq9m63KT>eCND?a#
zWH5jY1jgCwCoY4Ylh!_RlnugZS)j1&uu{~eLAofb9J<CNy!dSud8XElyxGGi6Del8
zmGM-BeN5Y4R)2U;h;6V=j5`;j6vug5D?#pI@^LK51M<FhOOvPV$Q2!_Y?X!*xD|8z
zZWAj4eUPL^^KmV%crVDN1`O!Xi|}nQw7a>;zd);Ys8K$kS>{80*Sx)z75FfO5sXG1
zI~S|K_XUHuvpfH?_WLn@vIl5h;+CF*?7oVwURq$i7iB`s$_G_2%uWDYg@~b725ftV
z(<v-VG_N1__sgSG9l?f{;;}s8jA=6ZpTiv4d^ogvjT<q-#9;-zrY~gLIXT*Xnq6-u
z;!W*+9A+z%NlN*=Gm1p~YG^y-!0=9Gwu72hzIhn&Ka)q@!j$*#x|^hBI!F$o;B_T<
zuLmUrJ5{gW@Vz`J0^L9kN|XTjiaMo+7opbuDRdw9!oPouHHzs&%fwll$Lg*>fhdH_
zL;&*YyG5IGV4`bNDEY@VN}rXqwnfHwG<phwjJca~tQt%-k(RAJo&+gkbtnNlWW8EB
zj=wMNwjoS$d<->$dm_^P{vA}&C-Uk{<UvQeFV@`H8!e;staavViA?M6b1CAPUBsq!
zS+WQ@iBqKI2Y+FLOOy*2<gKds?@c<B!lS&m)cGY_j3gUAxfb^-4GtPPBpCZF|Jgnl
z|6ZRe|04qrpwB`-KfDAnnl(^Go)-H`M&9a-UsbmYSI}d=^NUJK-)^4WGCGQWo|>@f
zKZN;_Ki((p(r2i4a=!xuefbnQMf*>#7Vtd?%Xj5l3<h-0bB8Mz``3Sc@Zx7HNWjgM
zZwB?itZ86ACpATR3)o{K;|!KphKVqqlUHA=i`~by?fDD-NDm4b<#i4Yi$hEVGF4QF
z^nS@D0D_MoMN%FIwF6r~Q~8g!QfccB5{>zcD?i}9lQt=J&wVfMYCBz)rn5LSaPw_|
z>(EVc;|7^%O|T~4g^-^-fzCC5yn$EY+#J!QO|w)$<LNZ%5*3vJN`$&5=p;Uu)vJxZ
zR;W6C^tYv~u0-kf)M9E{CyOO*R`h--F|bXu8`O5tD8+Mri}mg4RBsiqoi0_-C3Z_u
z=0*~2ld-m7C+BA`MVpWIU3@NYAx=Jil6v3JvOYthB^Y;ODxJ$@K>QYk*o#gR9p@xT
zN6}7;w>G($?f`9Sy5Xeu7*<euppTObiNnK7zdAGhHy@u7F<;O%6yq*v70gUqJ4k^~
z#07g;BwnZHfp_s(yx<VozWVM9z@)3^d8XB>OQh!ryh?huL6BKjReAACaA&)J7Of9`
zz$LNP0AdWaQwiuPMd3quoZ+p`%ed6Y9x7)L`<fhzx!0oX+Gb@j(HYB-e8v*SW>G9P
zUd-wD*<z^iN&KDrx%`cu2nv9*f(s_`ET%=%beN$ozLw9MxpE-m@Y@OxF~OA%;|E!9
z%SM>)Q<;Fy#W&u>8aeGMOoEIh<Hq}-QsRs0!B3T&w6oB#);^4v8VFP&hXSCagc}Z}
z;yE8y#x#>VR$Baon~xj#-usxPtrs{^#@^Pln+?Q%b6Pj?h$d^J5ZM>)Z(%0jKt>ha
za}Z%ka+QnX(fwdJ>NGFP)*R;<l0Eb0Je<K}@zQ>GcZ$FI!QwZmXLmIO!U9E`Bb2Nw
z>Sk^`Pf*+WX`u&r;uc`go4+(;s`AH3i~0xL!CLswZf|_*d?LRq8k;Vi-37_vB(U?N
zW?$j$v&1X>6@kEQpSn_sK;5`g0uPnD+O^8><v;oB(ev(<DR77AS^r5F7+V*7Cmb+k
z#F(#0^%Pjf3jXDIH*Bc?gBM%LQa_TNfvGtpsJ3O*a<bxE{t{&Vn4N%f&AW82IzC46
zwlZ~&j-IR=lt^e*e%9CuiFpo&MNw#`<gg`cP({@>HJ^Fc=!4lh$kUvJ%BsaaykbTt
zy4hov^9916JULOV4ZDFCB@{WH#QUW|x0yP=c#aOC%KP}(DIt%e2wy~*Ew!<SNIv1q
zVegucnU0WPt3;l5-~0#N_JOtWVr=DKEn9+x2=u;z_U9BZ`LNQnH#p{aIg}xg=$ZEW
zfLC}24)llEw-HfFl#jL^u70LsyomL_gEe!WC(qa+?W-deIa8z0{V)P7YD!<+5BKkO
zMDcoxLv*d*QScX)iROF&{qBvc8_5#Q>G4i+vra!i_qXP0T_#PnZHZ2Ds5|tW0}0ua
z%Q^BSJ>RnY@G!)9>UpW{(y6PiDD%}r5@*DVhBhtUU8kwp-8xUSKVhT88XJ0GeJ>Wj
z&zprElxd6Q`USf&$<L1&f<r5lQud@QTWpGPc?Ct3%T^NeqJq<JDr(sYWIt7T1R8kr
zOMFvHM&H|HM(hl~<u1bBe6vCzQ9fT9?FA-Q<ZRfXsXu>Q9SA00oZ;?y+=5A)__RG2
zg;ak)XA5KbLEG41S~>W!nW*Sv6;;2uzQP_e0@Xw2UiqqWp9^mgkc8q5Ypd@|1d&f(
z@r6G|T9H_=Ak4vdV&d7f$GkLXI{6gaM$`6Cl+=#J5kh`fBtM!H%FEfO3R<eb{xQM$
z?&W7AyIDHT1%((o&{HWscUeEpAEzGPf}^rlTZ~T=532s5@zzA9g)PVGyI{x|sKGAu
zN@h4=GW~O9&;o$L{R7?AZ=btDg=0i%6PdvRaVUfN&+Q+N+h4Kgk7S5x;Z(m`J-@mz
zQGC7r_NP0@P$$}#Zawhwe@v+eB0!1_K{2?1Y&!k|U-bg$p2#ZE=0V2sb+%W{Q5CXk
zpkI%#3dAuFmJ=W09zc1kQX6?aJ`A{>MJQ|;bU>q&`+2f6-X8gqYWp$dM7#2J1~|v$
zVq{9TEcmS=h*(~9#Te$@o#L;VVdr@+frw-~525avLc<q@SLIjWZp))K;=I8_21FI}
zd?@O%wQ&12Q}<=dN9f@Kr=`$Yi>)d4{MWRp<GSn6$LLU_>lE9hy6a!rOY@H$<byWh
zI^|}r&^wCYCJiS52b&Y`@uHf^VTU6<4aWPmyfLWNTY~dbv@+-g{`mjMKJ>YDKj%-5
zb1e)QNN*QQ6Ogr!$`%hq(jkV008ZjW_RNnq2#=*a77(z=f7;naNBL1Q5@i)1QIH^<
z9+po{SZldJ`^n!xx2Q~>MVfYjKiv;AqqT#o>^mPM2FQEkK?(d@D<oUl0I;a|owQF&
z2!F8b2m*cu2XUDv4`h@UE9%F??C?+sDlXkCUwI{fndP+teqrr4J<9kTM_!BDh&=C0
zibV<tlS%1OOYQdXkTJR>c26`-RYH2t?et-Kn8w1fY&>>`PcUSoespT(+1G|VKrQ5k
z5-G$~M7$T)H6F}y>yf`RU$-1|x{|MszixV5yEP%;cNp$T67mn1P&HBRIXU~CP96Y;
z=^oEcw5Aw;m`n!0_SKFZQQY{&vwT6d0zvUq?_VmVsU#Z}w=u>YhCav3@INil2KPla
z-l<y!h(WSBkWR!(@fT+qtN++;Q++Sn9a$J-v0BvU%PI6Y6y|2_U*2ed&(wuRaTUMl
zV~$}@&*p^=*C{_Vx<47VDYUr?_gUx^I3Ad8y-chB5~S2spR7U0v^F0H(&kz95o~4=
z#KXplzU5eo;Oz({-<b%gUnpm|6#71slX`onZ4GZaC^`4=a3^PA(h}s#^uAC*f|@ZV
zAfk8RUhG---(^!~3|*?m@Z=mO#&p)Iq0anQzhBL@5rt9=ql~8kp>&ZFvO%B9{bz5&
zolD)bt!HH=-#m!s;5@LGV^$^V###d2#CRhwmLJsKKM>`<jWCfy0G~JTvrO4v3GO~Y
z9(RKA4&}~FP3_vrpUVgEb`77SESfI^TH^+tWOm%y9uoT1pR$>4V2Mwv{8V`v5@$2q
zQOOoaPF*R`GU6{R9dfcu`S2izeIxgda)`WtWILmVsXhg7i&f8`MwhF%1C7}ERFl%j
zAUl+?F$~@inlDI5+d$wT(A;T7gpuKYa+ElNQaLzc4a1`n`y<fbtLh3=={V(c=QewA
zFLLRxgyUUUU&0cNrE@VF<Iyxhv_X5!1h4mp=3hJ3$ePf)|MR<vAs#{fc4;nfo0?aQ
zwY#ZX=a)`<UOM3t_0JmnaRwx|-_%KN+`SrWEUi-s2CVaqm>Y6ulLa!^{P)m~Z@4E(
zJ%dfXXZ1x+3+xuI(BZdoOamfD_k3D#oaR|^ty>g*mOhMT*7?)xfAhYp+Qv9(4Lep>
zKbRp<NWyBJff?gQh#`S4g&=#8uwj%+pe$Q%AG`)_$)zgP+Ndzwq~rl*n{*_^gXQ*@
z)R+e*ReQNt5`lu5z=;<dR3JABr$eZZm`yr>rBe|7VYMsz6yt3cvBl@dlD0SOpdHMa
z5~lz{?VqGb!Mf<BSc^4wpZw`6=TT5(QfAo!4#P9(J-1JhHm|?LjlcVI3A9R$X;HRb
zMH%|u-cmz#11j}Qqw40T`*t-stTZx5rIP9ELf9b__@n<O1wD~>!dS;2{|fAXTJess
zZ8%5gheNz1TOLD9^pEUO!)V-k+!_n(-puF8EK{Xg=&i}h;o@pNs_W$n^H~1Afag02
z9Mh|oHUWtmbW3|2;}T2=t{c?xk$5XjO@pfXTc*@#*D?i>u-n{7rypuVmu+S+x{E#1
zk)w6AJ7}k8QH5WwnQi0a8GE#`nxxOGFO&z-&TPXaH=d=v-r;T{Q+<>%5Yf*uCIc;4
z6*w4giqn3~1Zr1JN)bv4xF?JVTkCr?0W(NJtq9bpAuq!5LHglk_U(0MVI#0K<Xg14
zzP}KaI%<lt&{Anl`#?UT@Pv3xgWzPeaYAqeXhe{ybS(d+n7?u8(*`@fm#~c(iY~Bf
z#gb({AtX+%WMQ|2vd!XN%$n<-3_e}d6Q9wtll&cpehO^zhtH$~GWES|^9Ho->mwx6
zmCyRG*ly_U*qP8iT&$cFVA?8mvIwFl86lg*t>=pw)z95`Q8rB%8k}9^6nW|*3Zbh0
zPgj=6_9?5dsyINeuWkNEIVaZ{i|fYiQcb<tX(~ou8;tgz=byia+ykmjcYI~@o$4Qc
zJhIWN?wIH4%5+%`RpY;Pc)Z-XkYy4or492s)wT_8Y}?veu})EJXKdqJZ}RWd4TxK&
zZdtfHNg%iKjfgT6-cVP2tZgY4x6#$#?Zi#YE@H^R%(1CHqMDJ5_=o*y3s#TH<5p<3
znEc7W!)T3An8=ql<d#bficehm_sf9`%Lf{|;^Va((IW-ao>hY))mfAfxlQ6C0NF${
zNWgfeU>fZ7e;6R?Zrx!P#xaKF81b3)tKo0Bgvvet1N)(e(Yu7+YbxJ7mP@(nH8yEw
zUrPtl9{%ImMkqb7_`*4-#Iwp5vzb*m4YH|>($$CQIZ?fo;t;fP$G6xbSkyQI%OA$u
zwGqRz`&SUbKPaUM$jrVStjtP$?O1rPwf2%wvQ-sYqgyqZ^G^BxI!2}uJjX7&WUo3{
z9ScH6j5{Dkm%XV)5Z>}@CPdsmZG{$5-$|jJ(pq<~y|BlZ|BFI$e<xFHDS*xGMxo#2
zV*DZ*Y9Pj?LXz0;%VZl)hm@Y^Y?wn{aMfnsCmJ2QQdCX$6MH?%wbwrZwscpLX9P50
z$*7h#h(Tf%EkN>)sd>L_?ev2am>KVWXFx00Q5$G?zb9?m7vk4dkQwWH!dGT1u#sPk
zG^cHStB(ItXOOHIu&W0zyc8d&*y6+YRBN#(X7wXSm4sb|FAA8R6?R3S>b}DGJ3Y)w
zMI@-BWquo9uu;YCKe3Df7D8b|tA*KIUH-zuMR>2+tgZ6%xs4N}V+jq34wg90bFl{n
z_n@ii2XYPSR!<Nrv!UVKSgrF2&2>gZrciw4XEdiJRD53AmH*@+!D+i-AJFFTYH}m8
zK_5rZMR-R%IBt{Hlovi##R2R6pF6`&ANyCXW$qp2J10Kpb<6<Mw9fAh_nOV<!<dW2
zoeCN4KyY&GTajFh;mKDZ<S?vWv+j_VrzVFn9VSnxmgbTv(IsKs#Ub95knApBy&$wP
z8)z}F3Fi<4vECm9n(Q<0a)H+g{fLm$Xhu-#cP@r^B_b76FJ`j8@LJ0N#P2I>X!p(G
z6OZ(Dsl9{uUhXh0_clbfNyv79X`ygUnHnD&`*HRo!M~Wm<uTIpmegv+OOg2oD`?oN
zfS+pV&dI3iL@dJ(40P$cb}-B8)~uAXQb%^)Xj0j00fs_;V$<Gwhq%u?2O9-$Lj*cA
z^kzq4&|6!WljjP(D<)C7PL2~@AE)U?6wC(tTC)`xkFM=+OvQei{o?T>^FrRNZwmHr
zk8*kl>{xiBwkFfDu5KJtvqesHh{PC4ijyQN1(Ecf<gmKa$J3JS<NSTCGVa^N=<F)u
z?AsT4Z#8DVb|2}5e2U9i6(B@MrJmGl_2vfkh}l?gF-wHH2#FY$3f0sHh;I%*`dLoQ
z_^xu7M%vP2Qw+)ztJ+B><Tm)|h@-pjX;cK7PJPv^7Wa!!@OJizyzk%NQEs2tQW{Uc
zGEru4!$;MZz_$2g@%9MWqT6GMXOJ6f?_M{rIT_7+bZN2K@qzi{KOA?0=VZY>4NF&O
z-n+#~ityPw5hKGqj<VaDi$jKAj)sld>=toS#rB0|-(}W1L#swn3rlbv2L1cS!hBa0
z7^{f?9DPQh!PnHNxaIbkP5FF_(AL=^9;8OTu?W@ojwhm!XT0IwM^k!h;>tZ6$Fjr-
z7B{4Z^6cv0V{gPFyB_{a5g&KtF0dc3*o=cD?owKlv7;RmqNcx4r0<T)QCeU)-gecj
zOh*4+L*%_0jl_KuJD$>X=$zSyX7Km^^!F@-TaDKq?Ds;dWB2{W#XkYGtT@ENhF8u)
zZKlt%+2@31=1-?frIaSauW=@nq65gm`CTpEqK5Ef*;q7FXPU^0jlz2$bG-<5I!F$C
zec94-856}s<Ml?Oa>{h!Yy*7KEAN$9e{|^=+L!hO+0ZJ^M;i`l4Tr238BxT<Fv*FS
zM>tggPIRGiWIrxpa8<yBjg6y?0&|!_W~CRKqQ-Zba&ZO1l&458=l0|>)NFi#p8Z5L
zVH+_gR1ri(!8<K((omI9xiwL>b~vIKGIjK{NR7tJ!qNkY;rA*Him}c^C65ZUXQ?{b
zCyeH{sK?_b7=N)jKGMmJQJ$gh_8N^DKM8|QW^VyKq7dvo9<OIVf43YXnfE)TmAV9A
zc~Hx6gwA{CT~tO%f4Hf>7wl@z+QM#X0sC61Hp?7=s_(@QnI@UBc09ZbvEW4JdB+Rr
zS2F0=teFK#30Ph&UmoA=lU9C`eWI~e2TB#Qi~Q^oQv(z)CP>kFZZRZ_esn<*N+M{B
zTBKPF6@mFHt&}r!*NmRvazNB~;w^F-q<ytNSt6$xr9Uim^_3~9h`7ljn#r5LfK4tn
zN@?%p>5F@6KRNDSbiXJQMy(!SP$jLT^ML{?w~ra_&U_}NV-ZU9YyYe>X(Y4jdW40t
z3}3DiSgrJmPJff9|NPsG(^3j#X|b2gO15!u{y@~?S-o%bD;KlKEC6|I-a8N_s%|xZ
zIJ^TN_nH>>OZ(pa&L(puf0Vu=2yH<r0l6X-xFVwE3p=U3m@m6W)dTdF83Bk06--+%
zX9u2>$<}#OB#haM&TDCb{o^-*qB#7S-*{)ib5}x36#jtY__D0F!qDC>IjNvv*7b@)
zp%9s%17{3j909$j=q+iVQ4_eJ`YW|&-9`SY2qjzdVL^#!nXOK|*yBA>dU`QNuP`jx
zdQ%K%SEps;!K0{MJ}ohbrG6E!kMZssao$*&qi)JADX}eqxB_elH+@$tE5%N5c-W<g
z_iSKbqtd3&Qx!B|2er1L_3(f{6E$2>;cDSt*EcPnqS5>jot-{>YRY`Wlotqu_R3KV
zTF)Sdlw#&H7;3Th$V4Dh3if@YfV5wf_(1;b)%0|nJ{5xm#=$+XvwY&}KC|lZLu$zM
z-#wwggpPy^@Wx59bpm{S#NnJm0fX8Bqx%Ui_GdX05mT#0yf<Z^(p9tmztG{Brrlh1
z*!()v>o2_HMsM4`ci5s%jz-6l)WB^>No?*R=OVvB>?`4HXJ*>ZK?3eh&Y@z3X1GZg
zZWD0_kmDsdxZScrPSQiQY3FFR?C0_O>Wf%W^dMr398be=+=<u4K@2s+mGO-0MaYwl
zJsi|XPe8D#;t;nz&N-HP?<y;t6@ik`h+JcQtS@+$HJi<RN7RJPIDx>H7k{GFeUPcw
z6wsOP`ycmDnm80oQJ*6r#%wyKlsSnnMYc;s%OjLPEpV9#izayix0Vue=q^Ii)&%10
zh3U#tlPKahjr{(yr?ibTT!*P`Gx8%h0j`kYKwhAf3ZgWCE9lUns39hQCTFnA$P=C-
zj#J(hFeYWW>z_8T<5y~0OV<uGbhq&88ACxxXAa|vKc@nJ++%=VnsB88$V=cTnU3uc
zcy3+j4*IgZ?#BIOmOH$4<ZP-{#5)67yY*U-{GJiqVSXBvxva?=q}D17z1Hznr$asX
zvZ@vNE-IBvS7JonarCKL-AcibSA~WcO&15v8k<TB0TmSGveDzYbj3G+<7Y!xzci5B
z{{cS6$Md$z$NT0@RZDLu!%MnyF~?0%OWL>i`4%(rQJyE2GPe;sC#l_$4PtH#d6FUf
zfoAAzD0<zB4QFPzb19Z;QB+ay#9fDVQ5MX0r-88c_>#k!f-~j1><{GhFrIw<)_143
zoTAWD5%;;FhVnv_2KL+>OyoB{N-X&~EEc_70__GrwCy?Z*LN2VSSdC#k`d`GCOoeQ
zm&?*M(Ak@v$+1Zw$m;#b>ZO<Y*RN*fcWlfTYPlFHGjD<CR~-jArG$j@zk}{3B7>Bq
zNqh|_2<pwhnDjqoLg;+hdxmvU@Y(@7wDD|F)r4th4sNX+kiL$`2b@}*<QtMVTbDm;
zf3T0QJK=zO02L6im{QH2qG9e3lic&Aipo-Zt~}f%#Me<&+Q@_&IrD-!;srrcLBnkX
zxLLf?FduyyVbCE-C1P$6BrI}8e7NaNv2yvfzdW?DnOo&*dj-avv?>71ZbQa-<Y=tQ
zCq+k@j7WhZybOgr-dYv+$nUh29!JrQ2{X*PTLn?*oDRuv)1W_hx638&eib+wxj7am
zpZ|I7WjV@DR^C6{BunRY$SW2CTG7Vmyk1^T7Z<yiN1;tY875FRP#rolPxjt^|Ar1w
zB3gz&s#JH#@T5y$m-K+`7lCmVgbLrwkVH^CsiojFa!#vUA*@s@s85#MqPn1@yMW;s
zv>!eM5&KC2?{v8yhN76G*<|dux0ExCh`AwG(~5nYZ?MYwXTK<NF&5y&W=hAwrMvb{
zPf5e2=FCz1t|crH<kvs8Y%w4A#rmx9gmMq1H5gua60ZX;x|0a%S6#fJH4_Pm;f$ms
ztii|qug|2XR4})mygzgZ_iXU^Ayki^XYlH$W^JA5jCB=uXkhElcO-|a$<6=h$r(*s
z3IBSK1Ly067o(dL98}0pjrUYd)c3vt8SVtU-61I78@{`)-!D`?D=P_h6q7i+2k<f?
z60iF|x_=h|2QZ_=MuQ2&n~v<{3aZfk^`%FHO_-`>damI8$r1O}A7Y?YnIr$r!w2&T
zRwG<?-BPMOVK;ui{*c}^OQX<6nWb|`t+7)tcX1U@qxwxS-lZ_OBDtq#{$6c6>Oq`u
z@5P5-rS%a&-ThLOzU*LGZx~|AH=kSMI2a)dT9R0?L+3uD>Q|8%s7swnX`4Ir=1;{f
zm?sQcbkg#w#63QOcaxdeqtKlk6g*jj(rZ0fLwwI)h+E;&pU*AbOf1mz-s9+jSboIO
zy;4HX$T-n~8O)Mjwx`aw$f6+QLr?sOZ_5*}$oPVn-$&Z1QwRpWz9#)3nWxLaIzkNz
zoHwg}==wXi*!=-NA9w`^-+omsy^v#%2-P-0Fv)$4Qo3+E+VUXSCM`=GGhD~-)dWs3
z>C1IxpYyn;V`gk6afO7>2|M(>2fpq0upp66f#tvAK1&C5wsDnucs95x$amZDG0s%|
z)Y)vs(MImqxp0R+6G32uB!thB-cPn>f8>uOI*M7`ad^CB@M$j*+17joy6n4FDH>94
z5JpO$PX)qH*9Ca55f|cqtNE3m8mk>8cm+iFYL4(eHQeF0`KZY*E1#N~YdXTzu<H9R
ztFr(bettb9G;5RiO}${Idszu6kLt9WB2scna=`kH>xQQga{$*c^$dMsfqG^N@VMt$
zYK6^n`t|Iy<(w2u=Ou#k*9M%sUexY3ax{sWfatQpFknI0*+{F%a67VVE(l$rTFO2v
z02xVb4cU|*2>Du_E7z|W8-xKiRJDRL^ZN%(H>_XXrV}S0ZE*&}@aVJp0zpHMd)Y68
z(EP3dxpHxEwX_M$o&93AAbj!zc%n|Kh5<5An02Z(TMB<f7ap^_!>*TAngR=a+baxW
zD8hgpD8$t4-f8dFZRnQVb~0>CwC)BZ%2aYu#UyPxzFE|W={@;W-1?qR>^PAm34$JN
zp_z*@5pF%VbwIaf6UG~!XsS=$_~z+$D8-0)v>xFdGt=3Png?6TMX+*<H*`6<Bg_3+
z0^isprB|MdmE#JV+F#2sbomyUmPt%v;V9Bp#SvcnS<yT<<PS)#Id|YIks4S*+E*3d
zrV5&pAyNr|9<l$p2K6~>;yWJu70wnT6A-o%h4C|OE47CkB;?V};3njvA58HdMu)Ru
zW7}odvf^Q{o8t-`oS^X?hZ?hZc&A<Ws;6A-4Y_-wIqq(+@9~W%XGWcDp62~0a<Mvf
z6BmqU5g!F?9?P?v1p>!2vh5dr?^OhxBA;dz#J%_as4Joe_T=bQ4_M+{N|(U>wZ$Y{
zL5x2Tt9JH6^9)_YAq~Wy1VRw|#Gh&P-?wDxzXmCB>2tNV<d5d+7`uCS(y7Ww=$&US
z2sm#&LFy3<F`pK?Z4eeIW~@Box%>kjmGy50n47N1F8MN;Trc(S?_wVP5nuM#f80=B
z8s1Q8=8UC1x%>Dj@$%N-z-pZt3K$zN^gDC*Bcj=m7Jwpt3<`g|VRZZ<rBjDeM^{=R
zp2TN!re(Dsc&YY6+D(}dH&jc30=%{d42U=>Eo6dGU?(_S#V{2Er%M?y20i(xA?_l$
zsiL10;+`B$u@PgEIaaL5OoC84?}Bd+n>Wmbd<zIt3NPs9!rXlnM)zLh5l|->)Qu`q
z_A3ZL*ZU3Xy<qbfWLB+IkPRYGCgHOpRyR9wS@n+WPxEJV$)Rt2&x4Jo`>hGf*9LJV
zQ}@myvX{e%kg~#&z}$(KLKkQ%=p#CF{@9YXnZ}%<MD!C-nPtQc@riT)424f>&*Hq!
zy5ZZ4FyLKpv**RGiGquESt4B*?sSQXp|bhwuU|p`&HYV3@m&78&Q|ccYi!OY5xzF&
zxx|y+A}Q#ZhI;xfC|R*O=zlG|jc#js&8AB3(4xQnIol`PoQwI3RiPO@FBzylKfMpG
z?meq`v#PdPjSpvG=);ZoNj)zMkwzUBN`=S<EWbwl%lbuUE%7*Y|EN<Y{rRAAGq2(;
ziw$2kPcwiJwg0wM_2PXGJR+--birX;LC`2qwDz0_S*Bdy1Wwww=~*|79e=3t&xaO|
z8ushO4QQQT&LpKhBD5QQ)*ESwcLH|RG!VzVqd!hmI6CEAGRXW5UGTKpEC_Gf#&(U$
z4<p@*o4|_kicpY*rQn_jJNn2c;-$9gq-glP<=BisN5ItA2~8f50C=rTgJHTu>4+nM
zCc?UJ-T!Z8eC&vNJ=blTugD+GcO{(gZQN#br~yc4wFU%XK8q1(sV{GF6_~FQygeq5
z8+c@w6~2#yK=net^ZNGrI$^BQ$erf~6Rj4nINM?A@+aPDJhuQ#WY61#(>WvciQ%%K
zx_7I+1pV-fd{QNSdkMUGYDjvD$&vduS$s*P%#dmat0ZPmmSdCf)c>psJ8u`w%w$*J
z^xy*z@;K=aaJ9^#W%e?;p=A$xmYz9(q-Hy$18A^-26FLgi2GwPG22_tPRQUkRb582
zLi70)>BUBd&5kgi$a$CzrD`k@2yEa=USW=o#5W&lifn|VM#p%{-FZM~A{TU1;Vfn1
zH|#$|yD>fBW_V|3TPAtv+tUmg&OZNMZYD0Z2#)}MH(%q~8Ny(5QBE$yJnv89juhWJ
zsaHDOYU}8P@^Ys}`O?~C<0*M0Y}qfKAg_OuL(uk8S1|B1lHw&0Q>0>VAz!P{i7QUZ
zsF57@15!u{A=sMFo>dbL*c^782X)XRCAKRT^-MWDMe>hsz8Sb@WaX-0PA75D^}eL-
zJU2l-9Hz7O;SVeHyzi2ARYk}e)~mRei+LCPx=eVRRPAwG_JZq9@!#G2tPK5vyXGIV
ze4T_F1etN1{1_Q5d`QV}72aQ8wvmRL0Qe?9$X$Sc)d9@&jGo9<TAA7PDw{m-2U(0T
z+tLI9aRxoFp>nKgt>Tsfyw~=v^1IDpI9<%UCwR9%CHMS6OgqJJ8*fnXqSU&px3zhZ
zQWhxM^$CsY&nmhF8}UhxfcS+E!S`&5o-!4HY}9Q6yh0-&uo!8%#xE0o**={X8*_RJ
zO4?}MVTl<fdou8x-iTKi8Xw8#C$UvZl}2Tdh8FEDQ$~bNE1lYl{r@1x-cp07{MDd9
z8~^8su;v1lrftJ5=lPa})6_64?(Y&ETJksXp!`@((Y;_E505BMKy#tS`)95{N=4_*
zt-I&m5hPMzhl17dmXQJJJ+Pi<O$a&Hi9*J_!o>AXKBV3Sos)tCt_?~;F@)+Ji}0FV
zuEc&~L;(khh~J5ADW}HwXEJ$14xvGsAfjfH)UysQZO;Xdze~v_eFPo!g(C%?3gJ-_
z$9x&a&bO61<jF}``9>pUT)%ZDrya$G#@Tw*g}bL>+n)EI#xg`487k6>6q_*Cw*@3;
z>k?aU-2Y+oS?P@^eecUx6;CA$@ps4=KJdAbSzU@&1nS5$nw2fNr`J>MU36b9dHcb9
z+y@gXwC%&-k9Fk-RK1P`?DEetzR8(Cx7f4d*!;;AmuX9MA5z*ft4Y^jh+Dxh4?9=O
zh(FNyL4P;Zpipc!>}>?8UNHB7+!*xW_)tM)ReSG~dyqqhSW7bNG@rOuBS3-BbrodF
z0gKX25(Kp}xB%n74N>4BAK6anDf!}~v==UC`dPC5Zqub~J<o+KHN>{6>Sb9tVY0qb
zh2Lki;t2IMhH%}^gsRozLTDs-M?Shoz;>}(XUtj@zz{j2IU-YAaRvvEi;f<`6_oj+
z(19e5i?~rTsURiSm>+86so8!n56M{Vc}FY?k=xrZVJ<e>gQXIZsp#tBodg20jzxuO
zk(+o<^CEkvOtbxUKHRY4W9#en(CZ*2fbOy%_IhlFC4b=PDeD6uW4<kM;$0(RX`Sv&
zvHMuIh})nBDTPJG#r~SI<`PW~)H^%HiYfED`BeecVYs$qO$`>sbgHpZd@S~SPl2Dt
zv9RTix7Mb`V$O_oydX9SYWDhpg}!|)cJB$&X-Zc4{(Zs6qsJZj_j9qVZAJ=BYeX)e
zPi6Wda!xdw)9BULB*nme=rwnqO@afk7Pe|ZmqCH;2tob5nr#5wvi`kCD%YR=V9mVT
zA*&ygWNdtK1(TK@zOi}>SZqk~_V<S@FN6fu@vmepdbR6$g`uMpc$Je&-*CjA8N`-v
zjR;Dh4Dsi-Iy3q#JKcBllQeeP7gkaEQB$)?w?nnJj+WsiVr80@9HSP6?o*#ISH-K%
zA-89-0Wq)fhrk;!V`zq!!RGW>uTkqS{8J+xWNiLWtGO&%?LfA)!?5|;LJOpi?rg#V
zJIr@+hkP3MVi(_b;b4<kQDnuGh)U`BEqR~iC?TuNo<wL^Pxn#)wQTWNu;^~6v0~ke
zcuq32+}}r^;|%$9>6_cK0PSKR-BF4OA+BVb(Ah7^j9L|NO;n*+hV2-UKWGE}Sssi^
zwM?&*NT<N%-}^jZL<A2HBKBj+pcjyfU6qrs#H)vYp8*@j^))RS&&Y2fPsX2Mr6svs
z4n3Y%T#IddlU^zRsyk^X1gx^Vxfrcj6iPT=`J(3!o#IT=$AXms^98o;A_o2CQC4(9
zDsE!B^~GH0(@Z`d9VSE-g$A0&{S^<B|7WF@XQPq!2a+Ei0(~3RqHQl8?1xf0&&<$K
z!#jSf;^9x|4o3TvLvFoX(+xDnK}xnI4mF0|OPCF4L=gaHav<5hr{P}E<ut|YJicwT
z;NCp&<JBMslv<$B{~hKy%%)^KkgI}$0ZQL{N{86)ZQ0#pZGVcl<3&Aa)`5+2-@aJu
zS%UniTz81c>3B`C$tEvN*WCmZzTf=LwAD;*rZ<fTBhWM{KW?-f28_H1YKn)iLkM<=
z2RoGCHpYu|GV|;i3pPM>4`{CG)e68ayqXvch7*d#4K1U1^j&(QtNpn!tL;q!6HTRN
z{BF9hnsB3izak7jnau5aNNXoo5wg(z_x$F<s=$>T#>qXS+Oz*C5INr;9763dG^klv
z*?S!6nCbf0=k?6**5|1y)F?NCd-x{g(S}nv`hi^E$u)r1aEfZXtrhU*HbUhLA~{eZ
zI0^9Cz`PT>W?1CrN!9`455&uF`G+<b-2xdA(>_)aKWON7T13JW>QHa)0LlN0f?xLN
z4QS^P>mK9Zqe#S(W(%%@Lg7;UjdG(Ti%RK^%iBYFh_xD(`OUhEp8==MPS(&=0r^*<
zle(|r+q1Y+fT8@&{;>+Zct87q3Dp5Q2(mU-L$4(QibOt`%smn7Ct8IwDlAs2c3339
zZcXL5^uTjq_OI(b|Fd=lT1F9!5zvcYl~0$rNez2b{(CZH=wl0(y27k3X`*Bc>0Ur{
zG3Qu)=?g!`TYg{Lsp$`qtrpMGSi926${`vr7~NKrDjm`Kce@%j$F`<*0mzPnWhw*D
zhOYkqE&nM;+;SEsQd{>S;1K>}NLxD;gIhO!yqrIpH0LdSbGOXmIQTtsNH*Ix+_@<w
zFedUv))Jg|)}`d(L-~5=A#W86rI}XN(sBX4)#h}fN3!rgiHC_jIr|soGofo~sOBvT
ziM8kF1FSasTL6saQp!~Iwse?7qFASS{LDqt<C)0dOztku_+OCsdflFU5hO<4d?o2n
ziUESHgqNY2rUl9U7Lzf1Hc#mq)aDvSlNt<9{OdN@YkJLTZR(7d3Ds8<Bg{bCBx*A#
zdYtB~G99Rt&Gh)8$DTji{qkUPjvXmO5A+~Hf7_&}(DDchNNLctYkPe{ZZfpVIi}r~
zHkjfQP0wtQga~>iqci8#TmPyBIZ+|?SE3M2vZr4W%3=ufY!4L45}fov?4?p$-fix)
z(-Qw<UL@*5&pD~po%?reS)XM}!=N4Z6RgyVr{VDpt=eZ!w86A%){ho(pkR?CiOENL
z#@nV4>%CRVq(Q$I$4Q1u)1<nffs8SLZbf#9f6eWzFlgEAs=#Izdzg<6%Pz-wFiNJ#
zX=*ZaugS8zh~X*fB4+B58lXNN2>}6zX>!<Ct0>GHrENcX!!lfJ=t|Q686@Z_eV<|)
z^g;H3R&9bS>~?+TJ)TkiCbQ)M()V+>1ioi~PMLPSRCCM4V1!bY>qQ|KJ;ws-_tGzM
z(Wm7XcTW7iLfj;zLkLmU^;S?T?Fn%fF-Y}>e}r|@+rLbUA2n(gpN?C==vux>!g7-=
zQZfC5wbJFLpV5&PuRB#=nRp(T#$ltXW^SKP3%@?xj!ghOjU$rD7z+pk0BTZ<BF~k#
z4yMp&yI^od_{1z$3V-(U=Dx_hU7gPAm$mASn|$98yZZC9?u}bpVtxZCMPa-CXME>l
zS)-Rj`D%!h(RW43_$_lvqpAY;KM{Q0du3_$DY$Unyvx2S;GG_R-1|RO(ecW3596Kx
z8pBsGo6EV=IVFSWj4IlUO42tZ!faC_PiliH?%5S0A5(w(S!jjnIx|?N|HC>nDH8t<
zfEcHVTGm<DTtH1*{anC}zW~8vBhmPM|AojkGaUk;ZztVUQpjN|{bZl4dVaeo41&x0
z;B3|L>+y86TP5@+8F5}vOO%P?J_tUd+@*8IzcT^c;JrcuC^1SQ>qFDm&idxBw{y9*
zoBZ4>?<uG!zDsa(<b4)!qSfGK@W-UIoz2v+DIQQ`H9W;{+woM_4m%?W^w!?KN|qG^
zk>bxFhmSvYwW07;d&^jSWok!IO%GhdEVXzZ1llHji#J?*#!>l_eaKb|3n%65E;^ZV
zQYZ9Y$(0ZZEw{|noMRkvY*m;uX0x=Z_Pdz<3E%G&D62nYmO8&edrQ9{M=9JOB?0UX
zqY4-o^3HdQA`7eB%}(x!fH3kK75c(2V);0AAIQoN<?qAOt1`Jn_S6`fbk%cT1$Pz@
zi1(D-Sa7qGMJ*V!4ht#AN`sivSf7-1@_k?y2xK1kHBKW?c49ma?x2hs`DALZmv*)6
zC0YLUF|nkL40OEA4)1Dp<Q{Z+n1NH)XIcnpPVRX!j_H!@kf^s@yz8d^$CU@vwfu@g
zUsopg5cI(Bi|LwBlYTtOgT3!QzxgjReB|b%<J9ClXGUWsT|n~9Ny6oa1oLTR_{<Z(
zzzNG=dD_nPRu_|iF$UR++AG#`smEXWz`<V0plr{JPhkHPHkcFvvZuGI;)`D=o6D{d
zsK;D=Nj`$`90-Eoa5cq)zrV0>tn_^FbPgLIs)Q16LPWnRsxAFcd*@97$|B9~wzFoh
zN^7?2iCmIRFQ>%uzn5z2=O3q0p?gI~Djlru*fjdR`JIBQ!h|uuD8W0v2khSaA!fdV
zp23A?#;T?GZl#REC`)KChsw8mJzy6FCB&gOFhc*fD^Y*boBLN{kkqVdXj-`TmcJ;Z
zjRy=TYesOi0Oe`~6Bi#awDK;qbY@m~7AZn1*G-E2thD9(9abC=Rz(tKF^70LL(+1Q
zHPSwQ;AO)XY&0dNtmC!k+TK-NTZ)ba_gN?SK=|*03m#-z^sZS`U24M+&wp<WI>Sz0
zcY$Oc;(K7RWzt*7&>sBwU%Z*-a#|7&{T%G!q?7By<<Qvii#ZDI6!l9k3|nFB9D1h1
zl1xpO7$CsY_scB`J!10V#-NaL6uK_Cr(o=}-zuY%Bu(q{v_S86jc@Cdj@KM(iX-BI
z5u~&9+h@L}Ofp#m8YKk9F)4e1&`|#`cA+77;$~0qc=bUFZbE_^dW<m2lh5pV`1ybf
zwUcvwFp}qT)y{W6H&!OIU&CBDVdDvM_aXE+9%mCPc6J{!;@bQsdxP^*-6O_OLc+SZ
zJRb%<cOjixN$jHYc=2dB$P)i&(=8eow?fI=SzTY}qcEQ*#11G6nC{#0%C%bP0N1(q
zuuwkb`t?>bE8eG;^Ia#LWUa|!6HLd>QQ~>yO9|SdNa8d*F$g)2&Tm>Q=IZP9s#s6Z
zX>+_IdPEpuQ91l`{DJ7E7o)gaztl8tLW<fIs-eUT#tUT+!!4wzpV6GlqCv=NU^vPA
z5hg+jrD!6aFmfeVw_IW`%T7%w!y|@q{94F+v;K9$d+42q*h<AH^g<N3V<EEUYm^fF
zPub;H!VbG?D%&`Q%>O#YX>K+7HQAm|ExZ&t%cAE<Yj&3vd=L%m5f~2WZtmYcd0JGW
zpk?RSbbY8Xz3?6rn#V3FO!f66-}d1sn1KR{AMAdpt6tCIDd?lHm_EPh;lSx((nhf2
z&zeffW6tuI$s9{1_YyhBz{euXi#)!I9y^08xI&MIhmyWZ$T|;$LJjj(<HB7ECFMVl
zDh2$2r)X!D{Z7CKUU?R1_sNrT#biHF|4K*}%NE`C(j=eYwOoTP*aE)qn#>Z@A7Ox$
zb$Yc161BfVn$Mnc9$BGNwkD@h)*hRk9%6UE_$cJ)^7)UlvX<))Gw$Oi@cm!6aO>HK
zEYouAK@T6=XzqY|2dfV{%-gB-7xI#wT0`%#S6KE?H}1NZx80K3zY&4BwTH=;+n$Pg
z6KY^wXQ?t_LVmQjV{(i72A*{tcUD^fQB6jwSJTU&%`!TKFZY{HUD`)qe7TbqODBKY
zAvZR)AJ#@}!XH^%vLq|AL{~jK22ONKD3J~Cz4pio{dJ-uF0DCV2f}|C0KA_}A1_rH
zD+xL?WSWli6i-#T#p4T&Ty=n1RdQo^<$}UhEWpUx#Fg=a>N$vWjj>c$CbWTU5G+?b
zErn;1j$Iw4p$$_hJnDFRhi|t2HsFpQT{g@NsvEqB&{r+Zm$Tu{Uc!`WFom=>m%G5|
z7%2Zh6hKB0Mu!US@?zm5=z!UlV3JPfcJKYeU1Q>6>M0*#`HNkk!;b{HLtawo;l~&j
zi@gxP74-@pQC%P5sc$bHRRCt!Xjya~4P*yfDr7{f>NVg$S|4C^>`Ci$z%%fBF}G;K
zjcA*{XbvFK#jEYII~@q$g?zbgp57CENMakSSj^|Im<!Yhe>kv0ZKUPSHR$FqSkGT`
z1DvkF#(R`uPr7|fGNG2!3%L7CY_d!J;+LC+4e8lM-!hGB8MF&^xn;f<Yq(8%14TAL
z6=LuNyImS>Q?pGL8)*@T9kO&{pelm#?OCW(I(B6HB908n-R)n>0;^XHuCVM?fCFi0
zeOQkn`?|rrfcm^ws9QNH2;05KFS1MmT^NWPcxmq4;`|zauaeXKn_!PG4_@WpY?6{W
zln~MSk$#4LUZV8(6!G^9-^a5aQJ>SNKO82P&L*@AKOYWAKhQVx73vqok{ZJogC^=>
z?9KZ@d<y|2yw8#J8rfe9*cj|@*Q(ua=u%!II0Q)*awe1D8w;_T8#^~~s<h!Dakfix
z^FFj6Jz)|`>^2=1(z^+{pMas@YOZA~+;h=vPZaMbaQ3+&ce#DzY3KngOV@R!d{q23
zScvwbQplNLR=B|>E*o0|J<gr~7{1|Xf8r*1PJWY3v0Q_3!s%%rLV|j$3Kpm`Jlkzs
zP~Er}p=6m=NK&N-gK+UST)XY^sXT0^NcT=q`(Ozj7NY`8nYlfYv})Z8n9#v5&G9p4
za4s3iwrB5(F&2Q>KAaJ3>-nMcES1<DtHQ1~l(kSTJs;9?iedFP)n`JxCkGXUKTm^u
zSV243p}hK6&b@`$oZV}Mll6dQc!c&Nm_!S4TLl-bU8J5_u7)2=<{Mo~h&%XYKEk*F
zO?AaPNjaY}i*=zlbIj3ig;jv1lkC1*osc9hye*UJz+2^{BZe|EnpeXuDoe4N5M?>E
z=1d!$z#8dp`*kD4Yoih2dMK%~$e-*Yt#s8`#`@oHY*We}1;l8{bXZgW$O*h>I&@00
zV#D*|Pte)3sfhxRrtxoiwu<0+NW+4uxpy;ggGLTx^=zwA8n?gy+7d=Q3_wj=->idp
zdq9awntk7PlvzEj6iyY`KLEgtTC?|t1C<0>SkL$}jNB``E0K?fBB#H|{XQ8vH&N~R
ztVu{dxcL9o@&g~Q4^J0vNq_nGMcwju)%~CN<O`d{<#$#RvN+2PRKW_=DdIS0`Zt<=
zN}Vaq>j3pah0?O%!a}+gbQ1mN<mW~-KI=`3R4leI$4Fu;J#jFOH~RKJ#grQ@{@(o5
zf6&xlhS|9ROAY^5C`1I<rC+f_{rQ_IFFN;3fO*2n^Ci2CNY97z8nsuVG0Uq0vj?dk
z+@Zt$vrHE>`?22SSm#m`;iG!L%G%V!g5(q}>oZnWD*mCpxiLej`9CrkS$K*`knL2Y
z(~LO9y{$)!mGNDV)E$<U9Y8dWSOC%jzlP!VT40d=8G+2JdQQ{RNm}9n5Y}~bdw9WI
zsQNHyT#PEtK!(KFoid+S)Q#-HJIe1JJ}qCTQw!{<L+suKgD}sk_LgD~Bz^1&5fk5B
z^Dmrp`KrK~n)m^5A;*mMXtAwHYY~~}<YItr29V*<4Q}0cF837R5#ET0Tq}c{DeYIk
z7vV!Z5z^z9nd4+$5qq__!~UCPK%aMxtNw@5-U@4robb8|(z0t}*46oZb=Ikq^Y84E
z<N`bsOj^v4SZh?@ZT`Qz7LCb}6DMB$7p>Vye_jN>;4P0HKE!|Diq*h$@i)iowO82#
zt#6=vnsBuX3djmhnhOlQ;20jKj__SDCrFmuRIHkE>-<;HYW)1=BEJo++WQV~Sb2Ji
zqkgpd^7(`OAh3M#n(etT-6nkj_t{W23v-<Q;qLn{JhO}1ddW@gvXL7v?&ksi&jMxa
zsI4-Rm4t%cMc|8>|FCY5(@>H9A6ZmtE@nrj$kyY|b8v#Vg$LI~cq}k~UW7w=348lv
z?ZCH9g3xpA1CO_?80F!kw=;oHVF%64Wm3xiUuwVNPf$Q_q1BMN`Qj~%u3=JhZH+}U
zLj{>fdoMu4XGX>QL%X1QjoLk~vEYiaX#6q`_f0psJN4wPF;#MxO|$I3tpa_dq~D4u
z*t&Xb2Hym}S(k3~%rkotxOTEuVP~$8lO<FB>jCd~g<;7LQh%|c^}nhz!25r=N1+Ry
z=DTDSMSp)tR2zn~g@?JRzm%HWw)5_tfDUbpZpW&(Gp7A`%_n{{wclQP+?oPoScq&~
z0Ffwy*5U*Ms$ILiJ5z4`-MN}heae>$Xj}o&?3VaV^z4|S>2EL;^cksV$Fe#@Nj{!)
zX%c35T93@9g|lEQr))yov&Prh2h6j;r#r#)Llx=4mi!*d3H!>tH}F<$PC$W5EJRNv
zN+I@ySD?~(mHg_zw4Nw6)K?}1>+leLh4fZj4J7kq=93=_56bYwMWZ*~u{I|CMT%)5
zCYuk5iS<8sH;lTNh{<vZh8UHJw2RGZe*U={3NBUMUOA?Cf_DI?BVn2h82Tfqcmons
zkPJasEz>op!_LP1N(|S9KJ|%!Z8jFBh3<Kti>Z;B1M2hnHN>#M=0Sdyp?%nZgT?bj
z{sOI)v_RFREp$m(IgWz<hgUl%-tm!?V3bnJ_G|+U8u0+_wU!$4wsQUSb)~`Ye_!L@
zy0g&vjn%h>y2*=O&+c^J(-T`{w!L*BHcsyprBtt@J-d;uR+nG*E;dM+HvHD4oupBb
zC+VG8YG0Z5fml1aFM>Uiq7e5$eK2UGFr5k~0S8#XI*9s)t-Oe=8yXI$3jDp5@^xSd
z;JCQ60^>fs^Ic6jT{-!?b))fcvqAp0GboFVnfHXzX?6MzYTM7=!R=g3?<$^MWn;63
zudGu9Lm58qwV$p#r?9343Q+sMp+ih#wj|bvG>&^!$n-DW$nh3DP2VSVHa{BmDRmFJ
z1{3`}P31i@CO#n}QA%?dorsQ$Lstl^7%>RFMi_wpjaQR3LoUtTk1Nb?zv4n_$WX4&
zkmVD8z4UtZjGGw_;hDA2883^VcjJ?|yMC=`@h*nMflhqahi%2)7|@>omB8-DY#cXg
zuMuN};tPe0Y!ca=rbQkUCBK4rH}3Lzb!BR8SuE|*EW%5G?Xen$(V+?PeXw(#_O+k_
z_UfYPZ&UmZ@z#4^7PQQIN2TniAV&&^_`2Hti7ldBpF1HurwA2bhw*9}w0_8!<*t$W
zRKR}aVDSm-ldNsKodMjsZ&U;qj!fJpLUb~z1*ux<o&2#!6u?doD|s+%QbNozd-!hK
zT>KJ{e-R0Xs7{6!t(c>p@lH(FHOPjclQ!#WJNY#}xsj7Dz}<?gwpQQinPCUBq|vOU
z&IgG)Z!)1TV00sbE(0t;QZHxdAkxyqlE!Z!l{ubf0QdN0Z8^{N&P1i$#o@p9%YUVo
zb4}hZ2VLy9J~*}6{8cIl{6h{&{`KH;n9e^9Rw{Rx3pjv{wSdW1Gj#2Roct}`CbhHP
z%KJ|H3o1a)6#D1fkp0mw`86<e$dyb_mY=X|o9Fjg&Qro&DOvA-oVz6DuQZm9!}(rn
zs`LvyO!jCVAC<Stos!Qrx1KHGn*doe$l<|B7tUbsgPLoenNGTpWcmDBzOuIZq1R|G
z!;&kK#lslw`m0}e5$=%a|9AIaxZT@I^|WU^74%;Ot*GGF?ik^{iPtLQdiPbGq4V$G
z?IzC|L0jE5-y#?a26s(ZOH4^Lzp4D4;1=z3%jX8I56h}h!TKg`Wqapg4NF8TvA!~d
zo`eMLc-?o6<)4yr_db30n~qIdY(~s&x2)_0Q3L~Jpk})6;Gd_v^xDPQzIhrb;%z{+
zQuUvu&UfWxjP1x|7q_LXrdhW2>G3YO8$3B_S(}$c{Ws9;FvqW4Ha3-Edu)}PGEfmU
zLEF1Zv*>ps$8U}3yJbZ(JpL9N_bS;vZ})<xmTB9&wBSw>=R1SR7p1dgKECe{Rv6Ix
zp>aRvEW-VBRd|p2?@-2jNt7<k_l5K3C#}rK^C6?K4Me`p**9tO9>?P(<CSHM#&0DV
z!3{#NjfaQ(b9RPUs#gzP$|c$?SIFcXdkcS{UUue8FjgCP{nE>3P0fc(v#G<JmJcz|
zsKbD{XK!l9ZZE4c63zV9SQ%SW#GB^K;q;Q4GBH|=T5Gb#Yy3NRZy$Y<8vLNy_QB<W
zY8mb2f`3Cxm91vbe`#B#iXm6(QXR;9dmqEq&Hqc(F$)mtoceEmZOzP$@mOPRvD3J6
zuRiMV%*rBW2*2bZc3i&yT@K}ITYjSLL%K7c_<=h=q*ka9rDc!}u^M#Cn*sg1l=z5T
z<Eh0p&I><<{(PzJlli+h5iY4pI<{0*LkJSFer%<4<1#=+`a1m&M^_!!<ljX{BaD=e
zfdNudN)Hef3F+<*X%K<YC8*StMpBS&kZy@72vdQPgV7Beldkvqz5ne0eV+ThaqhY2
z@OwQdcBtLimY1a2%l_Ga+fCw?zaNth<Hi8Dbh}wb<KYJFLz*fHaIH`+xXy@!IQN6(
zuX-ZE4O!uxDu{DS>Id5%ztIJX&eaMYX>sF!RW|+gMkmu3Sl1u!W;=7v9JwMg*OJUO
zHFQ$~cdJw)N6t;a*GmgS@CQPRgDaH9y&HL!=4ox;{`kF@{x}Rml7A1lJeHNZ#Mhi>
zeV~T!?|<eAPK)dO3J$lbHUfl_E-zD87K7jJ>pUvv5E7QPeg@O8lMPFYzuKrt9qIL~
zq>NFgV`|%<<aCReZ#4OE6(Zu5P4j9h;&;B`+I~uU`gV$)$Y>gLF}OC(Wa}Te*#7jp
zy&DLG<x)7|8<FIiee~#eTSaO^Qjg+v!{zsOS%(oPfBuxe7)&>7^X5W}jdf!erQ`95
zN>$UoXXQ??hWyKCt>0*GnygH8f^U>7s|qu;jyUyeS_iM?(vSqgI~nW4kxAjh!&U1P
zGrfx!p(lADP{gyBjHi<wHIa>_d-mrj65si3!3|p<9}0mp@V9o4AEr0{&t7Jq{JBgx
z=@NL|wk{N?(1Lz@P(5Me<1?%q)Tk?U5R=EaYW|tO0crY8d|I==lld<{)v=J=$QR}G
zjXlhnA(>M#A|%Es>;YJIEWN?|U$4dD&akp``b7hguMUx1=Iwvyo2b*H<_*s1+PwKF
zIpOSgM8VF}2fk~BBNJS5qGXQ<<mO}6Dw=&QT&YCYfBrDZy4m92=#rH4P|)6T=S4YN
z9GxY_jr;9p3Wdi~&VUWfWm8MyK7|}KA4%`sULOpVz)OD)qG4hZ5NZvF9e{(I!>$ac
zzSrK=z9V?zkvCJ;w3K#mMPbnr{+UGN7@2{opJe-rznao*%-cCL#dn}ueQXc@G6Y{e
zl_A?{l6<V^BF%({<u|V%XX(|6HRsl+cv4a_s(j?neUv|$RSw-<v{xJt56PeTx+l^T
z2)W*Y&x>R0fwRMJc~k0r7j68^4WQo<`4_7JGst!4!nO?uArlJUd%2`PvH{X`ad;U2
z+9S~KsF3pCCmmMEh|wT+CZWm?oG%}~nYm_d^}GT9c#l65UK`yp6JVYm`Zkbza`?DZ
zAy=5hlXv6AaQl=~>DrW=Eh+~|rAg^0&pywQlUCJ7cE>Rdulc>3JVh*)KvY6MYH*9t
zq7KzNm~(k%{`t{lTbIF&tZo{U@iY6c<G5TEx6l?^@6gik$r3c%$wzN(%W+K3U5WuH
z^{1t;59@;*r!;b0*n0mI^Pg@!ka{xWfXP{_4X7Sr(}`(2qnL+zlZx|GC2;`)wT$UT
zqeo6Ozc#QI;}q>1kGy}F%}vVnO~pm)2xTL!f6hMBSWy^tluurc(hW{8xx*N}jU&1_
z^k1CPFt-mIT5BT&ZSGA^1tSk13mt=1U7EGmj#Sn;!bgtvDeNuk9V!Uog@bFOU#@4)
zZ4OVV$;IM3_xP+%QmhpzK_Ds4ESivf4BNR#w+|$5!To#w&1s`Wt@YfX@8O~RIMHIh
zIf|*!?FW)dOKRlKF&=p4LqCUxgt2*9N0!ceVRx$gW@m+Ix7`mu(<rr!@5u$UX;2i9
zc!xQXmGmm$sN9Oi%Ovd;7pvO?6L&_nHj%PTPGoJ`R`a%D0;;v>8+70{O2+lHQ|s&O
zwm6qS(TvgcTz=@a7!0YXuy&gDXHNzIXGG;U{n<FB1IIYZN)K60tXq2Al12(x=j+)u
z@m?+LoF=B|$W)c#BA0Slg&dWMd3>pZ%J?tMk@Ium(|;xepop4D4ck)Gwp=N@xqt7@
zuVLz4Gp9au#ECX?c*1j^xC3!kwZ?Tlu8+MZwIAb^KW(FUad_KFr#(mWzker4C)d(I
z8P9sMqtnzGYnFI@uzPF64c}0ife8=Wdkn4Dizyv*mu^UBZ(_2rn29uW)6+QGy?E&6
zf*Y&OX6@4$4$s+p>|s5b1y;4rr&s4mACWn`*goDFZhP$RY4F7!ebX^&gS;P6J*^ec
zj@{zwpaL?4q@+gp&t}iw+s?Z?lVy?x`o{S8tf}&C4422~sa`4MelG$dO<6gYsEU}f
z9NB4p2&H_uvrr*1fhgl92I}SVWyP80q3{kN!<v=FTukvUCjL@$<Zsc`wkl#9{epQc
zXVEDh@6>e5&BHe&Xw5L*`^~u%Y)++z;3$1Rn6ume_3esk;rWw)r24~SCTcZ_)z=p#
zp8O~_RA$>qn*US)d!19Yz=^@H-j#c$k~Z4HFc~e{v6|29jdr|@o83Dm_Gab>eKVAE
zNeyMAoW7Uhva-9LlTV0BlTC=uOc-K)1=lYaLXxZ{-TX;Skf&cvSJuw8h_rGLO-k(t
zcyUx`PlHuV6RY#<jh5?upVJ*L>xi4vxXPtLW8nt+7q5=EPDJy(`pr(g+$T*jx;v~%
z_WT=vb=-Ean?L=e#jTUOwRQZrrJaTmL+M8sbvxsUmce-zGiAy_+7{o|cdD4s@`~!O
zT^eOqzi$hFo#kwe*hxvfyx2m?`gE{)j}An-K|m3s=+k34x%ARE#)lzP>Rql$M~VJ7
zoekzv`ED&2>_1J%R|XR+{`qN}D)>E$5&Bx?>=#-}Kw}=9(pCKH$>I*&D!k|{Z|8NN
zUcYR(gqwV;-QL+>wkI7<VK=UoI~|K3=;!1Ay}@^$R2}V?jI>klCF!yC4!!WUH8S{C
z-SpJ3q35Yl)e%t-b0)uoso}&^l*|LR^l4|y21&Y^c}ZmUpS0TOZ%HyYwQW#1^Hk2p
z{$<Im?D-wHeE&B?j$F%18E)8<qm*nc_Cu4x2%mpQI*p4=M(k5wk{uM}Xy%<WY1nZk
z>bw-arM5_Uf<LP0%14~d!Jm^sN=tr;U`k#M<ahAj?Ggoh3%Nh1iO`djpGX|NAJJ{)
zqPZg%z{242CMapKNt!iyeuKSZqxsFff6mpfA#i4YvrwKy<@}3SDcXah%MqApM4$do
z=T!KOCK5_6wVxl`a<e5hjTGnKI8s_neo=~m3YAifAu*$?BY_ukTBh5PdA6jUo$A|}
zZRfN#O{XCpeeG{4PIw~57u`!|9M@jNXw<E!<fmx0+&t=hMPAV)0&U-Jy*WL6+K;(x
zHEZA4z%FnoC6)dNJed!JQ7hol@pXD0{Zi7t_8`2~bXijtjaF7Lua10!?L)oBt?T-y
z_cNLm18&|Zou7yBj!MRZO0?m-ew|!Dzxlz7bp5N*hC#f6r~6|rZXsgeak-M}0NXB9
zeUb<dC-cgxvayho*~`BF9;4i-=hytvU~1e!_WI@c@?}j0GQa@K`OYzaB!E3>xwXzz
zUF{TlZKcemN_CF->iE*-_jVAR1k`LR+YPwfi@khXvU>4;YT-|2G`s%sC<A6G-cY&)
z9d~86C#n0XLP3f!)1Ga%clU7zb+~wGU^{7y`|wh3#>iJfIJ2is3U`lRX%$X62hX3L
zi87OQ2Q25^@64S9hNMX10>Y0p$D^+@Zl>;GjlFsjdCE)VYYcOcQc1d;T^p}b2f`PC
z;@#v=WK`)P4Q1BE)Q>Coh@Bk)i;;AQCwRu?u(<P2!ZX!GJS^vJsIFwSQl%SwN)z=_
z`T7bb(pt9|p0eX=>Gdw0OYwAFTsNF_|BGyLaB5<P!V2A(tzm{=1)55_|2Xj|eGC{w
zvqh**yMApf?#aX8@*7>BqUbl;EZnv}m4CU~{Fh_@u500AZR4~RRAOGDlzee=c29ab
z>@7R<+2LNluQFosF!<H=hJ61fC2?a@+=%>#EBbj9qOk5&HR@PCKi0PQ9`mm!Xu}cx
zNMz4u*7QG?k?fqCO;V|DAR0U|J4s=M9vNrk_EMhsEasnEfc`XqGJtF(vpz*C2H+#W
zQJXkvTTPjFgz22a(6~&gv;qyiy|=(Z3;Y{xveIsrzqn;Aa+c+_BK8k_pk)nOZ=;V+
za(US5vzz)mp`@oR;VO*Aobv+>MeeYZG+d>7Nl7@xZfI^JzzjozS7-g+WHeYgL*sR5
z<>5Ee#Xd1Vdwl<vWZC;f);yESzMrFENUhH93M$S^jeYd*$5hu>FKZ)O7JbM)<sTDG
z?MvK#wkYjJ2C47Bn^ljpS*NxMH|h&vUuh+q#@J&<6Hm0-0%F$_`<0)$zCD2r*aO{^
zGqD@B9ZRgeZGSXUhSWr5lIl&Yxrwsc$eQU8u~lhl7z9Bu59^S>i1z>LcLA+$17CL(
zvDbO<6KX7~ZREtC<a?e<HPLU>Z#^Aq+%n3*XA^oW^j}`pO^N5;{9SRw9w=Oq=lJkb
z#t~|~HhA498TGlOezeG3#S6+T(h)R+yD)0mz*cY)o2GEHHVjeujFtXcsV{0g%RNzR
zgpY)JG=<MX;%~5mfb&u2100{XWJZ08H&i;~$7SR9D7*=(w9=1Z)N#P?xIh#+bL*8b
z(eK6kgI-*AWDqidF3EKRczMHzAQizf;Dt7cji(~N+U(LtTePdE{+nBctNZ#)1Ec%O
zXxUq^%b6Bt_A4rxPH$~(Z_)2uUPy5FbvXtN#8y?!6gV5ZZ3Gb2Jxl?ePd#ZElHK#9
z*+0v-erJ8Ub0BLa=ugC~^yQcTxO<gA)D#5KH5xP*uo&jkLNYfh{8gXLqMN1D#nUP?
zzH^8I(B*g&w-;DKnWc&%uHtt^e#~RfDdnxHJo;0lVjCF93JJj~l}+Wc?+0~J(<q#B
zb3kFD-uA4l%RehyiqK`26s>+uq;*p6mjl%&yNMUxMDQghz$LhsqEtGCWL8~4i9c-R
z_dl5=*UB5n1QmHz9pC#t0wsx0YNgX|-M$N8D1>o1J_lg<EYeY(-wdii-iC+RSq6at
zCboE?TBNb-du+<NR^y0OzZ8vbUtUNwI)KX77QbpnrR8-*){!6J4gtAKB$zXc5A4UX
zh3Fn`vmf`#<p;CA`aDDeX_?s&@rhKicyibWLRpX!!68EvKd3HBmg0)VJC|o2kx5OL
zvC|K+KOQLOg=PgV#LY1HT33*oXl%z;)8A&q1L4XKQE9U6FZky_U|EfpWSt?9LaN1h
z3EzwM(qkl%$VgPUIjc0H*YNiu$#Nd^kVB-FcUC|CL?Q}H6N!+4q&K+mIgTgU&nVg}
zMAPKX#3B{jDSA${wSyrDZj1&0n5KYD!1!c^uL5(&x9d4(Yif~BJGxU9w8%_Joa>a$
z%w5H?vs4=ToQC1{q+dr~mxG==(1)Hvuz7)^$JwAnC;bF_gBIuMz9+Vj@4fe|ZAJO~
zQz*_(#;EE5a7Z5EyO7XYDWMOg{;eym=3t5$>Xf>Qa`Hu;pX~aNOMO}ys%tlkzm>v=
z+jd18U0QGyp$XxzJf}EQ)WCK}derWZke`ibMhqDI2c+Ol*JDk4Uki`-VubT@m>f5$
zYwRuPP)N-s`QORUaCTT?WS|ynQixYE#RDmJEL^)r?iwY6eg7e_%UPA^=c!e2DZU_*
zUkm$EGVGwx^h2=w7lv(Ch7DLPNGjax8ewcj)WVq;L({#q-kZ-aPwi=W$4aqZltT$w
zaQ^`zx6=4y7<$Kw>?nwH;iUUSCJgxLqS-!@o%cn`e+o%wafCQY+Usowf&EF;UgU5+
zcFejgvqcZT>6dc5Q#AXRGx~F@EfLl_6Bn<gFR&lRA%}8uE%|7hj1_GqA%lrN!R6vh
zg7(DWy+xUk?LIwdj@4`<TJ^Uy&lA+QxS#o3-@Uvt^_T&UQyAf<Otc&txYJcLPA&6n
zMQ~LYfKtHzq`gFKz?_xny4~$*Yi8`tEHLsZBVRL@alediLmDNsjD_Y*d(;Vt;Ontt
zf*;=lmOrP{=AJRuH<6X{)-5`RG*Bx{XUJmE#T}672J1X_>V99C)G5{bQw_!{oICnF
zuQ)=zs;oC=5<m#BU`_@pLy~-+-20b=&!#_!QVbR?JTi&W0t=Mrv#~dd-r|)j0WwJ6
zo15OEM=(jtA5Ro^YKRXg1nS*oNe((TUceURrDXG>L!(4=C;Ghd(CL=0oT>NlPTYH|
zvHG7rD44>+8n=KBzOp7#<a(lUDHcGS19bI{Xh~7I^CDQjTV`v|?te6}J?6B);OYkO
zbr`zGE4Ry>t0l&{ce0e0r20MM{50&UmCFIrVu0c8cjD)h?Ye@HNy3#CLb<6jSG?{m
zt0s%cHajMNbAV%z5R$k<1{BbTn@lA2q!1aNuGV*YhGxt127b5Z#Rl#9M=Hv(MM)2z
z+XrJ}%6J(Bn=(!AEMvNvEp2m#FAPjzA0lFJ)d~kZ16L4cu1$i*1bCm9z*aYuyQ7|I
zB*!r{xcJLE8Y-Q#7Q3^pR}Fm(6F40=a#WcPHq2R(XN2dloeW)#W4ou&<QdBU60jQ@
z^ZNe5u^ywh?_#BsXKqBUmqjp<WDo#mK|q2Nu6DaG_K86M-$+`Wv`-O$dgT^y)Tb9c
zH^Ha9WC|cS^pM;lc&`bI?WgJQI$5BUn)fE^JgW9eT+JM?VI_e?ucSHl>5+uhtxG-c
z=j&OE&gSeQ+cKzAo^Ty)Q%douiC3U}r1|J&f*BeTvbIHani~$I55p;E^jl8tZv{U*
zH_~Jj_dYoaUIM_M2p+Yp6fQd*;}Y@8Rq;9s4<kZBYOBUUA;4dLlQp*gfDVMQtZij0
zp<q3&^vVl(xV1`FbDtm5C8^<26Mg32II@p^3hWIABMQg`AQ=KOCY8;cS<Q<VUv`$3
zC_9o4dvZPw1{CcS9+Fd#vf{*k6zjWx0iJkOB!E)3B}ZRbfb52c{a5b9srM=A=t8ft
znios#&i<H;?wi*t9|^DSTn$eIo<3=S2?L@#9UT4)8jS8VD6^Lbjh5t;3L=G{KbHqT
zt9Y8Mjs_O-xA$2y0I`w5`!t{@GWn5CEu;L93+rgSM&lg5iAknqr3RKt3gL-A+c`dF
zkBg5~(N*T++59BUD1bE~jPR4Lw>6$LFt<F7WwdEs!+<Z^%3(iyySJbr7nfK@c#Lg^
zneQ>@D|R1~Lf9Mq9lxWz73b5%O)7bc%#DTxdv<-F#uk&LJJ|OWboqKaqCev;ZP5~{
zYIO-}l+Z)9Sx+R^5ODEg3t7aGoMs<bL;wYg(^FBLc@y6rgshiLYMGcVpGcw)+Y{dZ
z;;p#R(yihX>sIcUE7-);-CrMrDXvtaBQh8I=oVTVrJ^S+{Cv&Ih(08xD{LZ8<uU|)
zZwvkBBKm93RfXFU%?(oR6z9yf72Kt<_tQGQaZa-tMVs<fyo8d~q`KL*bSCoZ(U=6~
z0lrgbtnWqF3OlUx72tRAh{ub3C0^$iChhC{@ou3V7%F$Fc8}JQxCilq9*~}kB*UcS
zUw&P2{;#A%PchNEi!3mqG<EEQ@WTgKAipvLWewRs)qN~sVrCZA(sQ+kO;J2c(cydB
z*-B_Pqmsi~t~U4*^-H~_Rg+d>Vk=cL^%wZYTe738m*Boo$IPQN=jeD<wJ+cn8xly*
z<v&sY$P3w9Er9|Bm89g56}GeY&ZavxhF#k4i$G|_eYGJ=A>G?@GV71{PrYipso(T(
z%6ajR9yd&T4jVp<rZ(_dTEqR|`md7|hYm&*qcljE9%En03;G)UK1nci>hhAMK`;%6
z#@AH=f!eRRM#msVuK(k!O&`T|=+(D2m!7lU1bcTzA|hLdbI&q9NPa*FLH9o(?>Rs9
zAoZFRiugikEh~~_ZIT4%v;a&Ra{>DlicwD*tA974Bw-i(ZcD)QM19%q>1b#>*`<ci
z{=`&_xF;~s;G)@HAhhwf&Z=?aUI1fBAi67+bu?+A<>R_M#BrE^5@&z#4bPfzmv4u(
z!uflu8CMen{DGv$;L43m{VjAJfy#Q^-w6INsVt-~%O&C5``s||B556x+vU#9Y`-7<
zY6ic%4{`HM=kY`_78yVfE8L|R?Kt98CiQl7;#8E%x!Mp#g?9ridT~LG3y~d)SP9AW
zpz<Rt?-*9t<+}$c471f6=tsle^rtqk%7sXpu%r8(+vi>0ldrL{<*GT|XO~@bsN7(_
z&YmlUmYkDg*npVdmz*7T8lS49+X|7$jMTU|gi;U*v9iJbTFh(jPXlRY!3i!xp1q^?
z86s&*ii@Gu|Bl3)O7CHR%;=t_nGsD#B0RE|Kj||Fr~6`0U8%y>Z!bn3^t`6K9v7_r
zltjQ><?yxjTGvsf42%Oq{kt|&l~hX~qhQ)ODIBijv@5?<oo)hpF3{NhfFAR+BYk~+
zY-P`R<^O-gAZaPw!+^lLGVX_VD-0i3k<}_HhjcCQWgX+T;obl3PSDK8xfNWNYQWU!
zGVSS~#Ww6=vowOx`%GHfeJ3Y_pVWVkp!?=r$nX$kb6)m~u`%hd>uOTbzUhKX%~$={
z&6H$@&Je{jwa_%m$0G(0tloz`t#~Y*))&H$AcWU;+tzMuya^e$FlF-YRsPU=>!+h$
zXfd6Xuj`$NYrP+Q(Z4&F={nAbX`_=s{zN(4-SR9EYNd~-)*+_}@YntSmErMOldFuL
z@Vm*qMdmWh`nNSr0LFLk?}F<-D4=3Z+nHhHkCulJ{E`Xim^p%$P$m=4zPYng4Kom0
zq0c{(emPzN(8=s=aQ91Lmxu=_5D0UTB%*rbR9n3M=H(MoWr@0bl<HJPZD1|_ixT|b
z-Y9cI?R9-B(QQD$e&thn0Ga_l`Km@F3=&~n-t-7V=a4&53rq07u?uK|p#9?MEd)c)
zm*T0pv}>Et9`81|^VRy)o2W`9*+YK@iuk{M+qrvwd2OuKYaNP*hFpH}^}a!d=N|^g
z56oEb=88Xrf;X*^6{JuP_`tQV4GSsWH<iSC#Z!m~ko4*zg!dammqX)~WTjqa3rhxZ
z`uVbw>~NZvH!(MC(@Rl4HeF$(+tuZ6j9NNy3G=|kAb|MY<}^AQjCLceeUWL^iH%b}
z{e4wB6NVII8kACqi`I}O32J$u3!Qa)G7~loU!8#RCK$Cy`6w9r6n%y5{u6|}GYyJI
z(3RYJl8Zkz=ll6G#()iuS!X25@~i+^XuPOb-C!naz+a`$Q8(OB-+r8Vyp<O}C9CGD
z0y^>B0gY)wgtdHK9(ps0vH$J((6e|-A0dSf(m4+jS@FtC8gUZjv!mq&wlkUoNNEfw
z3_NQ(M|rt>rYDI7<n+aMNfjP6fP_5<_G(Z?b9FeX`oh_S)-+$s_EE?0NWr`Q7~N~r
zQ(umhd8^U}rQ|aPZ664{!RCwkGip|m?!VNpRrcf%(Ri&gy&aiH5p`xBjZaw5Tjde1
z^E^@6ab@b&hD37a$)mcz-x|>lTwGyupwr9#wM!@TUTI$gp~nGDlC@r6<5Y}X_X=VE
z_&o6TrE8rch17A6XUrVLn-iu@yp&ZrV59IejX1+&XuBTOzd$)EUkfG2WFai<btB-V
zDcU+y@I11_MbFXm<BKo9w9S)OyISX>5`)M9<hRDG=3lkgJ9^k^Qcv}XiFfJ8h~9gG
zO~*6(n~=LHwuKXuvISf`FMqf4Lt6GWRC&s_ngZ5{;L8i^t4>`9M<9Rksp{=vc$OWL
z!dX#Eznf6x2V?s3ajHdAGm;j0N9W#%4ToQM=^{tz0o<Mw%mY^mtJ6tcSNX}ELb_<-
zki~A0E+F%}7Yr+Veq+j7!k7y59@G@!NsjD8JI9*+BQ=uQshzxU8(z=eb0fy2Rz0`{
z6>0xtP2C#|MLm;DC#Ykjjs&DN9@?*1uq^<MH*CxikG(jV-*lymn3@zhT`KL=;mKE%
zk?jNuQ>*PFL#nR}z`cQO8NT#(|I?<+c(BHo7V#fY$bO>TPqWymh+SNcRn)=!aU7?x
z5z$lG!|^Ro{t_VHx2*1;p}5bv?z6rQ_?96IW6f3Ehz}+WQJ2pZ6k%yE@3pF~Z|u4#
z!d04ev0RE_D`YjX;TOvzqbu+0<B0Pc12f(hFzd&F=L|6GTtpu|v&sI|cGBvW`#t;f
z3{C@GsPm#=8j+EP*!Pp*!ZOa}2wO9_mILP>z?@@l(W)rNvKN`qTADN#F4xcgz1QJ&
zCFy4RB|(Dx;T<K~ruJ#K8g><Iu+2U40WXo)O-(8xZ;F{V@&0ddUyIm7vjfAbZs~i{
z&<cTAm^!u3+U}?p>Eui~TtE!utm;i-pGxkTc!{L?J~LJMu(s-<#J%DqNcX_5ylF8n
zYHv^lNL^d5oWIZ2P(QT)0cSo7Ww3v)!YMCH&)0?OSve!xhWcb=-ODBHr2Kt*kjqBU
zcGCw<#EjlLyw9Y#=(u40qdFdbOZzk-RI}{_N6lk|0&f+qqH`^9EY@lf?9r#b7`vKG
zO*tk&@{SUV7lBgad76eqq_YZ3-<n6TlYQSJXW9xm9`~TVKH_R+vkE$D=-04jR2(eI
zelTCQ#H<Dsd4Z_FW>p<)9gz7F?HjQVk^51_un;7T)xnia#i*mn%#cky{Vu7c#|#pu
z$3tU%I)x+zorR{Wx#$d+m~x-IdYip&CrK6l@1E4VbMxB4I(AF+6*TVTjE@N3bNp9u
zDd2iZt*pt<q`HYH1NYOL3M$~xiulwHU;b0w_JZZN^S52`{gtkED?Cts8~Th&$*kq-
zZ-xJxOu<%)wEe~XTDs~E5I{2R0^dKo$e|*Ydqo8R>YB-XJSM>Xz^z=M+ExmM%0_&h
zm0SOZBftls)J}@tH>=iLzaG8&w5aHvx+-p>Zen&L^t7{&EPT~zbMr-&Z^h{XB4c%w
zbDnTgTIv@=LtWNR-GG*XX3h8BO7D3>*R+t&5(E~NP4{%omO6LMTp#jPM{y^$=w_Ia
zJ$$DjE5q#Az1a9>O`H@GKokl|H#^80?sutt+wkWP=ZR$uI|Au0alr-+JMUn&X_}2~
zSqS@Ki1|%T3j)Un?!Q3<Nvan8Zcs@+>DU;>2cZ=jO<8N}<fU(GDv~Ka){F)qVMmnR
z$H5V11>pgiDdbBzeh9p(O(Qi<#ihI{R3vxKvq7R}I2g$=dZCNTkMLR$e=rUINeDM_
zvK%fU)2dne{QV{9!7S)`qQ~M|31G$?&Lc=6YNw;c{^IKCbZ(_XG^fIIDz$Vw7S3uq
z6fyVn7k{XUi#Z|@A-p6a-LG%uePOA)EyeG7!dgL6Xz~>wPb=lslQ7vPlJK3L2tMkm
zUC|mZ_vm)I#q7T-f=z4HAN!v~*986j#Vs&@G#w{TWPY6}*H6esDc=frKjm=#%Z~)#
zTLdkeB)H~sr^*k9&u_xqhXz1LeDaWkZd;MdTt@KzCaJp=sqtY4PolU2<+9IUZDnP~
zQ&GOKI2GJRO)<*!A~S5ewwsD37ae(nZGp>LMNfS){;J6=u7PW^ay#*0bFi%LdJ+?E
zk!#`Rk&E_PUVoByl^*3&JS#4LT$SI!^BJH5up<gziS|REhYo$P4#BO}1qjgeTpw0)
zI|2@fx5bovrX)uGPPLg*VNVXh0Uj^RTt^w;u^t(B+zSBsM_{_i_3;`?!*WZ{HTUl>
zZ@kh&cJJuKY;;-lrBXDJ8lu`^-Wc}^==lTc*~)@Iw-52f9CGjMqFJqqgY5cEhg?`l
zFBQWtSUL{?^2(pue4i^0t24H#>5nP*TXA8AE(~UebxlfxD^0<pz4sKah2IHTQW4#7
znvQcQ;iNz7x&2xB(=ib=5vc<Br~bZDwbFAPg$Fb>k3E-nEk+qN<!P56SxyP}n|sRr
z5Fm0aMulV@75ogHHxI1N9teKqI$yC#nuxwHNb!+Y{mz8Qih9v)Oa2cTRjg865BD2m
z(H5lK-vKJ?BP<KC&z}|le5z%0p5+akG+$asED3giIv#`z)_oguQbqTY-ZApKPBAJ@
z)A~6Z!AOTMMKLM}X_H7uy5~xT0S}Zd7>97n`$Qr@z&9C24v5)Kpr16l$k}(8vH!{#
z69pS{@wb4tT34nlUZls+#OEW5Ow9IXEnbM%cueLhF?1$fv^5lzhmfw1$f%lfQc1P-
zY_XDJ!t^IA2#}^0fL~|Z7|xbq3)D>V*2E0pGSrV$lbr-sT@Yt~s!SKe_FPYLV&is>
z!IxPTHpxdD*0A}b%Xa^!=Am(Q1)@jut%_+}mOP*05ceW1n?>}$za>x{amyRPvpn{R
zW)B9(s(853e&Z0|f?hNPZXxjsD+t`6IDj6zOLauDz1;H-+tYY^r|RMi6wLx#jec{p
z*!9378?t1QPqn06LxG2-zE?FketpW;<@}H2>+kJl^_Qlj$QHYm@6t=5#Dgz_iZ)#z
z@?PjbmnF6C^XPumty{PiRAtHwY3S)_%||%jM#7U3McTeuK!bO)evwqao>zK5uZp?4
zsW*=RIEQPMPDQly`wteqBpEM2v8RZ|Ki6P68j(KSRA=13?hVDp(#T`@V~hZn{MQ&q
zYt5ey67vA^a4EzG5Z0B50+*Ld7EntIrKlzRqPfpy4nO1_2KdbUnk&QAJVdADmrz3=
zeL)-quFB%;*V8~Q<(`%{>%7h&`S6mMez5SZHA`$;GlFTgIJiGH?S^=|E>L2ImKjsz
zE*xz$b&y8D2(=W3Jrsuh{~?n|#dt>EDftQqa<FFLm|!eHRJrKjq1+|fU2LSAz2dcZ
z5n@rqa=*QTZHn0<N>8`m<xFlY1{?5Pz{2=~w{`)SIp;$~8-py$FZ55n+~}x{2|)Wv
zbY8RWFSL2Cy=#rFSsnlNl9HQs)KRt*QM76`WS`1!`~A0(&auNYqgBih1d*`$vO0zC
z$NM;D>$dw>ZHsKY`D*nJTlSUP3h<7k-lAgAK|2{l+bj|hWDXo349UQP(A3Yj<%uBD
zT@SBvY<J5uDb)WOnmCHAx)(b1yt8HbbuSF1o_yFh{)H4$jW<5n#2)Db^glu2qAE|F
z82Rw3iP?_03b_|?D)sg)TtYv0mT}}ZWJiVz!9)GL8mMeg_MhBY_ukM4Qk?ZEN^)j+
zjM)<nogYaeH6_&z&bc=MCUoPQ0ncuIP0e*5wC|XURt&}pT_P{El$snrf7yR5CtA9x
zyGgq9m8Xr_5gnZ^rn2K$Am+j1NTFY__BScvh0S0QHi!rmwx6;{0zh@tqYbyx`62iA
zT{(?WLG2$S_nb2Puq(EloVPQ@0`&V{tl?OianE%I?+K0{o^o8vDf>J;O>Efq?aio3
z{JRtXF6~BjqTTZi<AnI~1w4689Rjhg?sEkd$AW90pavu}aDhxkyRMc;Zo(;yMDPV*
zsWCMYSbNAmX?=Dri23DDL~Tm-JY68rq`cYIv1L$w5yn#)RPF~A5OOGr1iX-Ht%3iU
z!C9IgM8*i$ebZcX_E?0CXKFv!ZfcQA3a)PeP4{KZ6rS#3Uu*R;Po9nw%nAyaE!ujb
z1Ma^Tsy*@)_8?P^wh@Gk;@SLk?yCo<-~WjGifKcv1A#8dp=hkT%b6$meWg-D<u;|F
zj)a`$k9MO8oTNe7<waL`5XJR&_Qu5mvbwMrf?Q!&ak$P@dP`!uFH!A@G>Y&K+EvI)
zGjVD?8yO-9gZG3wkO=QL|A*l)TLDyPG~dhWtjs>1f(;%*Hr_2zB%-$%mE0>8HEb;b
zR|#<JsFLc_;~{JNM(Tl%$iE!%>aXoyrGV`vIz2<hr_;+&n1kk==R(m80fl!215sz;
z@2FtBA`~A%olrjBNVvQ=>B0q4yHWWL==t)+TACxjcM9cS$oKpF$r*eihPIIf3F9kb
zn`XZRKMpuc4XNSCL838~eri}=PmwsK-e7%$zGX2ykKLEgBX7Y&r)dFkt04^qpg)2T
zP6#}1N>YGCEj1P2hX@gYBc44ynF5*|qD)F&PzU>K6Yt%Lf<+59DQvrK`kEGDtnI15
z-@^HXi8=qe7cWe8pu(+uSJM_7OBaJ)2G;(g;+LDbD$@t)_bE)RaAluc`Ch9b%GxXN
z?j|R`nMo*B9_I|R#s;N)A7(=;W>WAfd+btWnWn7gNzXIfk6>t0LuFIZ#4KCCV;rJ0
zm_$YAG%<S$%CC<v>m`JjC4W%EWeyDZm@N2BO=6qpX!>?Mo6|Z4*kS43<g~E)waeLf
z;RTNnyY-x-g`3lX_J3FH!i*$#rrsP5#gSY`FTP}@4jpS;nla`#TFh=)UStPYQhD{@
zMWGj)^Sy`~ikg|5W%dmKRq&HK$VfG#5yAdYkJZJ!=cyBRyIO@oXC03`-^3iOzZ3d7
z$qf63f(nF9Fv9a7;ykq_F5VY(7ghtYs-R|XTi&PvGc{Ww<N5=Zw>cvVhFo<s)2qNN
z7e#rkW(ch@FIE%ja=n#aJ*v#0AZce5tFkU7@mX(&01D~wFPHGL<9hsYnNf9_Y%@3W
z^T>dNYGAq<{0X{3-RiX$;WTAszi%^*ZKmE1*t{$T4>Rx-F4A-L2rW%z8Z8`H!j-{1
zY8$|_a1q}AMLO>J%!4)G*RPDg&?KuFphXnE)~UdDix);p_Q2lEaU`-=d&1MwF9M;G
zcc&93LZWh(yWX^!m)ff7Gq>~>?anB3*<Xh##l(<quaM1FZN7l=oazD?jA+Yj!^`Tc
z3GL~bAOJf@TuGEfs&ribmI<>v{FaQA9<EH$aYgU3x@)CZe<+bx$431%s(Sp9#Ls}1
z5$=J0KcJu%a-*gTCCuE|evlu)3dMg!Gw3;rG=!6;jcp_47oI%=^0E$OIB{H>td$d<
z9VMg+5)~3R^!$A!zprw7!7(T@9#ds+iED66U&=+w$a*&>alc>bqZGDwxOvz}70+I;
z7H551QT`6n%}A-Q`Y$L}B|V4kw!|y@h#kh-0$#<F_|`$bFg&AiKYSsO1q2#<y%J&V
zs6lJ8R;_{&^Q3&#(&gs-1i84XOhErcW+S{0!OB6L^o!Z{=d6Xhaslk$aKrSP5j`An
z$4M8h9%W#|V>0v2o_;<#^KXzYmfUK|=Lj4f7^++dTUB^e^Yh2J;Jpa4Uv)l|FIL33
zvRa~5ZFy7c*7RFN4bchf7MId6Svo=HQ_OqUl(L(D!*2ft;k(7qy`xVY&luir0}|G?
z4bZdzA<|?W*RBCVwP;|2k+6Dp;i|{>3%e4PO+n3wb#6JQLPRf5O@8jlpdMwih@OSr
zRQpgE``B-$UG~5J!YGWLK5E@SV^SpSUO%8f?Ucbd3MSZqFH$ox``{;op)aeI3*BI>
zBSWho#DnL703gwD+Tj!27Yq$TBgY2;X{cOv+Y{#pT;ggU4v@6~D(j$WhoM_SP!;zU
z9nI%c7Qj|LQY-*iA-6EW6X{L0+C~PMOy-T|rcA<Lp9oA-x$YiBE@xydZ>D@(R){$<
zbh5Y982#(;Cg!hE4{sO{5yP?t@x)Zg!|K(8ekA(PAQKmE=@WeMH91~971q3HTMh|a
z^S$@9cD*p3Cwk@7u36NVl7mK;>;8WUlecSPc0sgsn!ATn6vo^C2+Jpy$)()?NvX5d
z9Vx$oD_nlcSo@Qe?01kk83$nzU(Yi0T^}mF*3C5jC#L0oyn&R)QjM>EZF4LQJN3_3
zN^g;P3g0%s{ZK&M>nQuZ_K^IttLpQf0@V2JfB3}Ako>LGX9;Ik@t;#mWOiASb)L3y
zm}34|8ul$3r~I`U`r|&Z*4D?X29QdKjMcG;<PLz1`K`%*aqKxZ@|iA4%#>cUZd$ro
zuz^JDf2@Gd+(~07=^JVT*HHr+*;3d){-(TU#xGV7qp%5?aKyxW`L^%NY_L@ZcxGnK
zuybsM75$Ptq$`#E5rmOLsqaWzwm8tro@wHig{wz*-Xivep{EB+bC6yW$LpL-5qzY|
zO<>Ss!Wr<LzQA&X9V}l~E0Z{Mq5T*gPe~vvhS1~1B29SU^K(enHRg|GK+=oE*7P;@
zuEfGhKb6dYD>fru9&Fj`n%%MSzI{&9A~WLrhv<HFqNV8JLPW=}6*{Fgd<>dNZt*CB
z04Aa?yz+MUbh+aGo5ll*3O&Xzy+y=Q_(ioZqiN)0K`fP|gKl+#;)C}xCU?L+m#FId
zsxh&mWtfOH=T6~e3BIN03DKHn@lJGNV7Q6_`EHOO*-HoDSnEwxni&#bjJgAbJi5aO
z-^7)%d>d{U%(>v59?1{|+d?5Js+oFjie7Bpl=c8cztPBsx9sVNr1K&ORFkdtT*<(E
zz|A*h{W6=kxGy0t&Y?NeF|xLFYO*7D7&{k%8+EApM-H{aB+xwWC~q&0Qvn<JLSk(-
z2XXVtd-7zUI=aZ^`W%(~2Y!Pq02ga3m9(9pj;Xi1VD1qnJamH)8dOgK`nmtAI?mj9
zr{V}L&;~Yl8&hRd0pEUyD3aiE;=$W;6r&0s)Tj!tn)MyqOnhyA5l!19^5!q*Hj@D4
zTc&7r^P4R*;{j3d^dNAi2u^*yencm@Jy2i2fI`2lw%mt*A%^hmXlU@22NjI43EM>|
zQiOLZ(M>g6wsTb?Vu3k|7P!k<^XGb#=)jk1_*OyaeQ|3^FHUpgb97Vds_2auqoWmX
zt{sA(g2sf%;^%@>eNME7I#HK%-KwWfu#kwie8jdhtIvtnkJk52o$e(DEQ`5z33Ylq
zAjg1}=kLskM;W{yv03`E&OEdF$nvX2r2sZSa6ds&MIY;R`a9b*5&%5NfqgB4s0*H<
z%}t#tA-u^DBiqXgOV|hr<|iJipJ2;R>CagfOQ?zArz5Jci_)?a;6X=gvD~$7H+w*5
zwN^9B5aVHHImW|9{-H7@gjR?D0lwi@l!uK-kI0^Q!A~7%#kmuw`C~&kz#t+!hjt5T
zlX4Aoe=iz;pbvc=*?+wc-(P8{hPl_vuuI)iN@EbhvGhB6+#>{n>Dz>vEPKEe1Dqe=
zbXd{mZ(L}5eD}IMKwzvde@0^$!h>dwn&EyJU4?hcCi-KgOX<;%uvf;y-{(9PAOBlf
z>7xSfaiAN|z?Uk2z?yywgBzl+bfS&#j<Cs46ZUN70-h7(ig^{k#yb%maohDM6v4^f
zxbUcBQ0yNmNz`n+o9NI(+9fF|l}Pv8^6mI|8|)Y>>^avj2YyIAAZgR>`?7&}Y2XEC
z*p=^M^lf%mw-{k_w?ae_W5}b`L~~J{EQY}%PZ+TpQTpCtpNB>EQd934Oa4Pc3C9^n
zk6p$hV5KzeY$#u__f)>XWPmbkaq5lQbhF<^D4j$m`R%=qvI$vI-kynBE8=>+olHh}
zXJ2P-@%u$`)BACHZs0-)&?jrlABbmCmVLtxQ!Inn9M_3$RO3|OnkJR(UMJN`HlvQM
zeP~hll|YqyUua#$po>9B@`<gMeZAR(Ynf{vbf@@T3LsaQQ0o?=aQx=heDE-W(dfRk
zpa@I_SkW+M?+cSP=8wl6Cb9~F<Q2*i@t}{r_DIo?G_H`DDV#FE+b~v3jzicNjoZ6@
zsrx{wfMekqO`_gOf4BDi2?V~5_ln^B@lPL0IKAD)jVJUPJ^XZ`-8iac;Csc_dr>;)
zD=AU#6Nh*zN!4=%tdeWoP7+pG=p+@6z|E}b{B%WouGQ;<Yeuu{WQ$#XD6{d}DbmJ?
zy2aoIM)>EFK9TU7HSCZ%O>a~1JmV^~sxKi5dC&jbSg{13!}#BI@yphPozWok04mSK
zh6%HMTv-Xd%5>;hAk>a$h>u<S&LxaHh;L+lvf%R4I-FSnkEOU=wGMf?b!1oY&bnu0
zp9F2TSghiX?mIX!6Sg;#!z_qqpg=v00v@<-6~nGg!1}0UK*F%8+RBy622R8ROL)DQ
zr|Bk?zRVPVDAyeczvGD9fil1nB6Z(Xv+?@RsKhyD+{MA32evrWtvt9NB8@2j&lV?=
zDiw`A4~7b-%X|RXTs`oNKl|JoYv|GG6iZihxHeYl_Vx8V^%t=J<9QwM&>I<v*aq8{
zrz#p@(exz$y~9rc9@r|`SE3aLlgJ<dwT3OexsPCCY;6^{5oM?A@tHf;iFdxfJiRK#
zob{YIp1wm&*#(BvO$KhWP(ouxnk1vYuZMR?Fbb~y#TErXV!68Tb*0)BLVY}D39!%>
zJIT>uTHP!<|2`M<>dgF;v{EUI2UjS09)w%f9KgLbxdLfjJvafjwH;3gMhuwQ58e{6
zGaik(zkh9^u;l{kEddl%i3jgRgle<K_CXtm&sIaE3@H8l<l6Z3+cnJzI$d9KwLW|E
zpKSG_urg^+ACpvn^mq753JZ)FbowRxxF6YtX?^WSm((E;hscc`mwkq^h}HHVGru)r
z)-jhsJV;#bhN*v)P=iX=b5pjqczf%KLmYz6Tnr=~ZBwW@#_ezUqg=D`7CNqQ(cf5S
z9~Ufbntay<0tfBeah1&KcREXG+T)1D(j!i&XEn-#=nffapke6QvwD<hg6e<KRv)Yl
z_!(jzu}m$D0Mh1*3kWz4%|E0%jhSfeU3_dSe(VYR+0jTJeWptc>GyB)^b4-~<&W(x
z3NQD&w|ppg&4DPEeI7Gbqf+iiZ|Kviv~h4NOes~f6qDEjiEuZIZb8#^YW!k_8FU<+
zy0>o2V<gqEu&k|jk;q-DM!C=lfGl{{S^kjkN_M^L-!{*wF;ao>;OdLRn}acDy<G_F
z*ZEoP@_pwJ1wL!V`djS;*gbqleP_>m*Rxqiqv)(s)OWIRZ+sf^D>MzKh|4L$-bTu7
zpIJ5Rtdsx~hG^lt)e|Ab?{$<~e^zkLia5^G{TNGFY2os-ApreYns6d=0*E<##+Exe
zQKT`}tM<&^j6LEV9LAwn_jzM=2xMd;RYs<Joa^ZICnE+#y<yNGzozy5QZ&IH|Lib;
zd%Bo!>bX5Mm~u=z(Q*_0Tk=GW@THKU?Cim}UmNVzk4#$3gv;I&#6RU7Y~MxA1zGnJ
z+*Y#8X!FaALr^bT@Rlv>qAYmT;#Br8KddxlR1Xl9wxm|5MGX;MysVZP1n?wPb&T%#
zW66@Xy|(^ShPY+X9N%3%H$S)vsAj@U2inkEG*Z80a?w|t7j<&EqA&D<*6@gMi0!$e
z$$d}C#;W^2L9{hLxsj*)4E7FxiQs%5lG!7fG}}hR3X<*cFV(;V#Sn>za`+Aqp`jI8
zH8lv#q{Ryz=nx$&q4Lok0b(d4{1#a2CnG!rqZ^$c+~;$;tgSHD7+=MHS@J>x`~J2j
zZ!v#{L`9mJIb|jb1Kj7Ff-1UTp&RxPomZM#(g&B{A)gO?qwtw10VKp;F$9p(#1yy~
zz@JgEt9@0n+MIO_i-H7fiSM7g)Ya0%{^3o#XW0%QmSRNkX2WN7K2Q-DbeUX2Rc7-8
zmA=H`ygeQpCCK!whbAg=MB-&kVS})(kpw|1c3Gmg*Pb4@oZ=~VanI{NKxCkJ)Tq43
zAi;S*i!@{hYkmS|JqAR_4dO<Or|Y)?K3tKOkrrWDjS*{)`@vJ+Dn3A&4CHN~k2A9N
z>nrtbeic?@E)i*cm!HC++e=B&m<h&!9Ov`l15S1I+<Z80YORCl!<LafB-ZlvTNl?#
zgMx+C+UkuX-g3#oN?dgelIoWO3bx5vtz=%e;#4{&%&@S3tQ{uhO~CMG&SlxRN2Yk(
zJJY?w&H%P)H{@%wTQKhUVESKmB*hVMka_=&YoBP}Npa+_do8$OBlgQC)tt;;Q8YRk
z`ITG324!44(cX7?RcQJI>uB%8`gSf)72RF6D4lACx8$Cie-58AZ?exP?@`rx_{H@t
zIkfWh*<d+rfMlyx&(0KS1A(tNv|87zL)?h?A)x>lm=F^kk^B7JT3^D<o1VYs7GICR
z<a=M*_Qp+k$s1Pu^r7vEBgP*hRk*D6rQ)LC`}D?4p;likbV<|0xw1rJ&V%WgVBi8+
z&WESCX;DS597Z_kYQg#Pe5Q5)mWhRY3(H<`fyV|a_16FPsumPfGK@4XupxY243?e_
zez3uo^m(v>5mt3U226hWI<BK65cZt>mR!)}g?e??@*m`iSYhuwuxXTB*)rXUZ71Sh
z(w7f>P3!CZ>iNsM3jo3R%9)YyS_u)9^<8Kr(f;m#)BUN`%B^i2Ik!F(*bqc5|IvOG
zIb~wOd||jPf3eB&ADHWRS(V8NebKuxQo5)*=X@o}=V_N-1K<1($IXaQ(a9BwWsN${
zHt6jDcx4SZe$mF5K|Iu7(iTR!Uk50lk`fxKSBs6yXpK6SRK=tbTovc|e+>M0`-`g5
zYwhO`ZH>32N5{c`V7F>3OA$rO&#Nd79Fw0*xY6oRm9hP{i$o9$?HiPP$078ysZLw+
zgIEAqlQf8CZCzXpDCaXP+zM$*ulzcDM811b%&RY5KAA+kA<mU|+)goSL97S%i-y$l
zkV5h;DwT{6eDc)#^88RP#`LM}H>*YkCr`D^6iij_Q9?f>SO!+a5)2cwm&GdXuawbB
zWnSjwf2Fsai$-BJ2fiS;3v#P{w2p&4Gnebx-7jsBjtLMr1MHhAU!@=fx6rpOZVCu#
z_&9#9e&%n6?yk4f62q3wTFQb0KL|*@lJdynYLh=nw8H(!xQbJM)3Pqk$E0JLLCm@1
zsHxWgc^X}#eY7O{^J4d<$>D=uc{i!b+k|jbS3eMRL=I~q;XFDSjTAm}bFV&=0u<~&
zKJe!<aQi~rF5cS0K40dH(KPc#kU&#Xq?$;R|9^%B2Eby&qm@g#i^S_3ON2$i6^Kt1
zn)WZcyW><cgp_kqzN${U&4H(Frzy1ui;{{_>-RZg)E-7$b&cmliMSqSF?6Kcx#-Pj
zWhvPRn0Ve{X?mLC;m<%sZ|hDz4<I3z!_m>pSeOQ;iRwRQ=AQs(4h$pw<PtZv^b%g%
z=M{F1dvfsSaK@o5^^%4#=m#~>%mxejp9;sgzn}{!Zz4GMTiSTi;(XHUP5@l*ee)yI
za(~?VL=*50YhJFOd&Ci$Q=7j)@y`n6^!wj^eJB&rO&1tE-1y>_dK>~1$?vlliMBwr
zO|TV&dla9~gW2a3@ZD(7TYt9hO8#Ouz`ftO1t`GUG6Je7K1B;#`oChnyevkA3Z;r-
zH^Z$l_(aEoLqJ@%7{#7kP-2Y{)A%mS$HKjwqSES5y@Pwja-2h}{MSS0R3g{h*saT1
zx`t@>UfUTChuv8(`MxvLE<Z>H5$ls%k5d^OGKV&MWbdmM*xjvL1oUqw*eY|S`@pqf
z|0sD61<-tg%yl0o1DQokd*afReyZj9fx@)72kjkB<@r{$vPYgXH@HZC^t@$yfm8^g
zgP2$M^)ve~Y0KOYN?nHV%r`LfgI~lvEb@9YA$2bdo9O?1w+00y=FyW6=D8Akf7c!*
zL}Kgs*3RVv3_5fwlGV;C=>ji1l^rnk+w%QQ6XUga)OAkPBx@p$>-ZX9$J@jqd}cq|
z%51&p>L1!EaGbiftX}aD)*l4uwL6dbG)9*i%a=F0>NvZK3_@FZs<G!d`%mVFBE>G=
zXN8lGox6q%s+2b9(%<ZEhHm$YD!|>EBqwHNze+?zKcXXn#Egvy-1_4JY_z8)*=&*-
z;A84vzRp%+oId0qpm)W0V*{guprr1?k0KB&Z|;ojukjhc4P4PQ0+0ZniszrYdyBrd
zfh)^~XCe_2wiXk;&HmnaZAh$F_b$Y+>7MPuo!x#{j}G6EyHJSy=Mn7Ur`otGG9BpQ
zMUN&)Q>O;*N2jY}oQnIu&k+)B)@imZH{t87=q)7`DHFn5`8445iX_WsM3Ma1N~guo
z($Edj>%7F*5CpH0xEx!*=u;ApXbkVfHn=QG8x_ZWN27CDSM+_pA3yVV40D8;v0{(V
zOC^)cq=q()-x}T%dGVgZYB}%EVpJJ0GD&lA>c+Ifr#1{qPKFM7aut?*hPK!7aq4BF
z*QI0oGs2Mwf=7mTLu@R#eplE|5Q{WXGrwi!VX?TnKp4#+lguM|3=OhJHhq8|K?%g@
zsKij_S#heI2{FU5<ZjyoEaoXidqs{c!S9c#H5&8d@m^+l>O6beZwshra4w;(>AiXq
zd3wN=<vNMXDgM(azn!r=<55yI419olAI`3<=bKtL6l#<uibtqt-sPASxjbL+0K?k>
zCkF*%oJ+c`F?&`xm!q>=*6g-kX)-XXUB|+a_edeSjE3}``vk2=VME6-hTGx*%j4yC
z+o;Iso!#=U5IDi)C@ka@0!so!MeYvu<p4eI7#(a^B*VBob7=$QqmX*%HW+4@jxmF>
z#;JJK(=6^9F#>7On&{i3-V3_uhA=}l#}65I&s)YaUjOY`%34CX>3)a-buz+BdIv5K
zT8}5i%}GGPT&(^FDV=<PCiK03(dQ6ex;dS>%RG%@USj4mCw3)5xF;op7+x%{w@9e*
z%hP+`_1r+_1c$TiC*S`^(pk7Q`Mzy@bPbh~9(+Y<kOpypD1xMPcS@JQND1kfG)O8U
z-O>$?NsF}92m$GVNW**kd;ftQ96WpOUH5sN=jRml=iUi)*NV#8@{kLg@pwSQMQ-jp
z@a7IPz6{EWG7w^u`#2{GnO@RGolGC}xlhOg$l9@aN?(Ii1G?^U{~9ai+_<1+F@3vx
z@L0+1@}h5+`EOnR*88-VkMuw?s6{F)9wm!Ds4gDSdjA=x(v^s>KH(|0*q-6CCze05
zGvLDcAkwvImfz>D)M-Emtt095?yTbAI~a0Ut;)3k#vUB-W9wC*HGhks!n}Fu>sRqT
zt7H6iOnL5dgd;M%)j8^@0w=1i23fTAM1D|h!wNWHBzM~teV%E{Su`JqoA^eX7N4j+
zxx>cw>iy@Pqo&C&mtlPeXH%<^6~XOFgmL9sbHWaYy|3&z@EswTswd7rdgbk94k&nM
zhjk$hEcLciKG)<6g9xyI1ghYsZg3RGvhYKc1>N7ppUc?I$^<pdl6nWdZPp|F&fKmu
zdAwFGvpTCZ^HoZ19jtybCv41aEH?9A5hAX3!VhGau1M}LYVuSD)@S9FNG-j+m>+X|
zPem+0K6cxFzO_CE^O2CK^4`gvqXY3Qr4o{~^k#DJmA5qPO+uVaAIchrY$Z!SZ@6>8
zXq6tF9&|PlNMB<NPQe)YW6xnBK^NPk-`{%^uqvEFI40Y5<nK_2^Rj#jbNE0@HJoh!
z{y8M=ehfP8AP!18sK#B|W%wU%-sQ)y3*R1{o6jz_9~pfA;h*?=h4}%3rPz<C)P+6y
zZBrDX`VrlV27i5mEcRO&NyPM|VPNjSC#`%Re>{BHs_@Kcq1N}!KQkv9Iwc3H%iq=h
zt6oVg6X_xdlui!)7s!*;B1knRvMT`hX$|;@B^SVPNcF1MX1UD;t16Y$)6J-rqS=y;
zUj?y=$w6Z?c6`FlHV9OHMv<Ezn8ti`aAcx#>NWq69d`7XZ>eiljHljPEdBQ;;p=0V
z^$)Iw6K;=T8-W7^qLNtVZ#kRW>{Ak0`zx`~qucO4GlyZ0#w-ivii(r2u7Sn3_^|f(
zgOH4WdGXpl&o(os_SMcHD6l_P)sL@^!R0eu+wzECWnh|}ns*clj}dD+9nbj{x8SbQ
zFl5?huq%I^MTOQnH8pa)h6^^lVNvlj!n<*Uc;v9Z#KIr${il2H;d{mV2VsBjry0dM
z@HZZ=-aT=JPWUd1&m3nV(XMZKLkoplD4bRYvSbu+Y@H6SzIukue&-~raXeA$HdSt6
zrfssg4y($3%W`&r=VrOU8(oLz+s_EdJGXpfs$DE7#M3nv)Zg0oCI1kaQ~qHyUn@>A
z#`nTjdG@PyDG^SXN9oqx*5p@*d-meoNzcDz4FBn^;-cd}Tv3PX8jY+ynSq$y2~DY*
z?NDA$;86<;JXvRvjzL2^Gj11Utc&As+IzW8WyfyiU>tepQy%Jk)H-+xruFb(defp@
z3l6(Ea2vB6=HvQw=&LB-*6H*RYYnLH?b}`f&lL@v=(NSB&#Ge-EZFE8tc}hWNk}d4
zle7Y8eM$X{F=5xD-VEr$Q^7_Z*$HMvq?^@2_4xGkd(h57^nJNX4QbAVf4XS*kH~bn
zes^S?aFiY}rvdF4;;pGPUxia#!O}|zJG-KiM%LoHf}hQxDKCrC!R#0X{)2DF8yK0<
z#xk!;Gi+10QUwh)G8{pT^!#6ZMxaZVfQ@eimu)1X268p+^1bhUzaho_w?Hd~=eTH`
zyFX9=61AaRf;j!5wcvJb^fq1ef*V#rUSL*sF7XYh2NoonrL<lpqWsba^BdvOybh?<
z>O0~?Gc_XpCKZv(*bEyo`R6Dr@$9G6c@G+cp=YAaT1lsEh%x%_8`jiOrToD`g{>?>
zO3f0WCD1{8^440|9l7RTdZZf)DTPz_2xJKg4c*l-k2NEminTE*R#{V_u)xh8<7ZH~
zWwRAE6XigI4mGk_C8mPJ`@OBl-{CihtZiF(W=98KJV@XPzTlsmG8W{LBq|-VMO)SU
z-34E0M*4{X@Io}l-C_DercU6u9~Jn4gP?Wdr<B{on7@-$NC+DE^Zf5a^|3TMAA1s(
zJZFw#FRu@jN##R$i<z~t8KaV6Wps#n;hZ@9hR&5S-FX~|uz2omg$}OxJT%*zTrfh+
zN|rg^=P<y0e*dgzr``!wAbjv`^uy)#qHFvJ@66Au>E{&_k}y=kXM2@ngc@gKf*})I
z?{J>yck2m6)oaVA<6k;%1ty1D-LV2q5`CdXTme20^Av)1Jhwlg2Di@`eKTSdRL3)F
zW&iy5=Oev)iKq)N_Qw6=#mJe-DHi#Ls>65Wk2z2LtgYO<fR)cLIiLD<F;wwZ{Nk!$
z{)*t*r<F$c-+k&1Qe4{l7>)V~Nq}7xw~l?~o_*3g%J|*YQ-oOOL-Mh}Kt)(eRUy&k
zo&*PKY*x#7ytvc~;Uzm$Ii=<6BspdCK!vDW=y!vT2OT~X&M!}gfJ>TrTpH<wL@hec
z4c`)Jl|neQ-(ozz1$QpFdM;2h!D3EVb-y4g1Fq_z=crM*EE=Ss=TPx;QZidp<Ig;)
z!|uw}VoG^Rjk;Lgg%@&NNZ&T+httg?)$#M4z=IoQV?D>WEVL6+Fe@lrDU<@F6+iCY
z1?EiU7nnpAw(l2NMO9DZjUtQVXm;PlDA-|YI@g#LKdy{9zoe9>ALV#<=AYZSf5!T8
z$+t^$n?Y~3nF7p<`&c?GJb@cS_7n{Act7%+P~A@9flZ@oV2G1daj<igehk`s2CvNJ
z9>nQk5|<>Jq}KjE5@ibeUM;>yhtRgq2ou3oD-QzJh{)xCn%o9+9udTdPaT+sFqzJO
zTioa3q8QgxOCKRPTFUC{zi-oDIplwX!?gBd@#!rFCuSlFwn55NjG_|X`TlqMUP=*D
zY*Yv`KStpVaF^_VkS!sx@~#k#>ndn@Z*>P%U_r-wKo@D|aH{EOv_K)|E@)Rm*s$gN
z`M!jJRr;i_j@CE*y7g2Pv2w+RvVp>iicZKY@r>V+VmU52B*qtiQoWG|NgAKN)6T$H
zkP70~%u&7hh7P;aQQhPkA(mC*_q5>&V{mb(_WMC|tIXd|r!;PH5q>$l3fKQRNOZ5p
z@r*NT5QD{Bmz2$=amY%++@<1F-z5RB;%IcOrlZEf0x@s~O#0vYkl>2ZXbg*LqjjEI
zH8l@GXDGRa1zS>yE9W)90;*7Roiij8B0!zo>n^QNqa4kGw)M4GumBbqs-SmOkaicI
z5Z^OGl2g%}-I!k;;obv(S~w*rSQ4UO*EQN^PYSX-rIAn7#n%kzVbX))A*rvG82xk!
z#c8?8J>TUQ;s+Ubx-taq5uj&-HyX~U>hcurlsM~6XPsq71!mSV<WOu?PTd4@6At77
zER*Ic`c=8v$dwvl^Un@RB!&(P%spROL<2C`(~q;KT*WJ6RdV8>m1VM_7!g-Aan5#<
z7cm`hAl+0w4xI<aO5^XTu9rf3as2raZ*RdRsgcW}cbX7O#XcG6)kE!$sx|d+TLrtU
z#X^tQr1YxeOeVED8-7sA{V$RU<i$n`7EE&}%wf|5`sed|RjjIb5g|>Be@H*BwzKHy
zIm*O_W-FY1qLrYn=_-h1;N}eT7Rb@ohQk`OM*4)JUhRh+=^FqS0_v8_gFjNe!3z9)
zwe`x`icn~ii>PG&2~^>Uq5<|>JWYhf{mL>g`I?DyGGs-MOWk$`*vle62F^v8mDI=T
zv#w&}e3F5K9gBe0PP=o%avHP|w^tZsZ7MW}KF@gdDTNP1V$ics17Z}6A3KxbY*~nG
zc<I13fz9hwig#5ha*o&PE~HNU;}+y5{+CKF=%n{>gPDG0`JAkyJ;NBz3WNe|U;QID
zGPigmj0SJLX-PxGk3h#eKe*-$arS-N7Bx!T4aU=hVaN|ONPgKoHR!MnJApBx*st^7
zxFr|P!zkJDDlLsr2QI`G(AZ^FK5T=JvI1~bGlUcQh>Q4g$oSl|BgDMZmx@uv=j#uK
zRu{b_;#LG_PD8G3hh30fpK>4C&I;3hsuSfV0ktKoK?%4WXYaSzTcTo*)JAI}Bs&*U
zI$#^mG_d+A8A1Y_pl&O|zOW#)PZZ><v541LncGSn#VhXSNc3i(d1=zSuv8(_lZYAp
zh$}uq*xdTko>+yoob)*DCO21#;hW8l@q;uO->BW*m4Nm27=st~w&CA(3wk>`3AZjD
z!8;OMy5!sODqL=hyimi`pmWR&FcgFCG8YG=Z8w7)Oh@Tv<Bv6l?x%f^Y2r#~2di&w
zhuy*zF(}(7bb$)?)wNV*PN}YdnN7t<dxm)rH$n)cBglaaatZ=DM_>cOX|c*^5ibJe
zp^`zOMN$nFl%=VLL)q+S$SHP|N8zyMVsE|unr^bk3Z;ZFEnptC_tyZen=uKIO_<xD
z!^UNwS`W3FQNntzRN-TkU~cqd;x=)v-H@@g2UvnbBEuu_EG(1=QNeOEis7l%O{s>+
z4@$23`RPbt{gdcy)zDlXh)CcAO1#U%4D=$q(Yt=(Zf|z!#mXrNmH_6%S2!Tw?tGz#
z+QByIG>Vr570Oz;xn3_zp=Y+T4@@csn?)Ee3>3CXnEdxyV-$GnOgT61$-HbsXKWdd
zif^oz$&a);an?8~s{DxeFA?P#q?CeDWn?Vxn^jqRa0#Ibel~v#*XI6NDhJ%^Pf@FM
z!=AlQp6hHeAch{HrRHN*ehC9eVX(}k2U20f?z&q~P4b%A4kMWJW9G!5s(v;@@7w1T
zwAJE13!bZTs<Gu|t-mor-i|T9&W`U&$+6**<k!LXve2#y-MQS<RF_c}|Gsvm3aW!4
zzv!k@h%+4$t*c;XC43DHOQIXntJrJV{l)}=%)jviy)HQ>S~Ms&nRJD~+g2E(FZ2$P
z)J6E+e>X&!M&I(a0Ey?5ieHH+3j(8Daz`2y6QfY|g!vXL7rC)f>mW6<Ami0j(e&Sa
zMm-qaP`Jx4y+Y$oG@JA@E<Spy4{`U3+619^FnApS1TqR2VeG%CdtSPNpw#6{`n3bK
zo+(Tc`4gMc1i_W*Z~5?3fK~B8{&yQX*CDiGY;4xHfB1sEw=MEx-ea8>!#5|Fx3Yga
zLH|6G5HFvW3~{<ms0BB~S@`%SLJDf3Y;jimxtiMyoM>6D<d8I;Gxd<1V>*UG);92~
z%gok8{egKw!yzz8!PFt%s&&Rf+J2xbziH8o<kIvqLh<vfr=%33>Gox5hLPo8wn&fs
z#LPdAAGP=AK97m1Wx+!V_hj&krO*Dt{kKT-u!S^MPK}JNZFmHq2I^#X+O!W(-6|b!
zf@G_v@K+0MTc1A0g%~%wGE~kzCV1FsYrvoqc)=XGEL28sP%ysD$kImnkx%S8i+PCL
zO%ILNB>r}&w)O&mhhD1JKG}hcu+;@=h3LVhYji>Sz1MU7xJ%H#!gf*5boKG5^OWg6
zqg{i6Yp9c<R%t0_!(*~kOlRPcugBf#o*M7!jm50I<QBXb{#Weo7MgfS=IEptS5?rH
z%w9N4@rDLfF#TkM7@pv!5i?5y{p9@zcG>t)io`6)q4yY|vy|afev1$CAGu^DKC2@*
z?Pfgb23`bw$of&;0HOPF+-CJM4M^59RBP-%0T;*ZziQ79uj%uG^I!11-6sj|{P9np
ztZY)Pb%`tROVLv|Yc|G#drWq*5e6P+rfi4uGZw697=Mqwk*=EzZVcREJa~4qdi_1m
zf{rkYacbLp<*Retx&>qJoh4>ve_I+Q|DNwllZMV}tF&ifDJF*lpx3g*g(6jk8xugO
zfWaCls7^k6r|@16E~!*uLXDIll3<v%PI@d}y7IX=-qVWuu5^^{NUONVzw0M7+&YC3
zEb?%sNg(Tp2bG=ep_H<}0ne;ah1(%U!4sCr6$RFOPg-}Oa9z^%tH000cde>^O$WQc
zdM?7dtmbhz7ME%#N%#jagRaw#>ut0)1=X_spF~bq#ij86c}0ILnRRGKygB*71L=bD
z$3_cR$uXGO2T$*o>tV(wSI49d7DSV%0QdXL_39c=UFcWb9qU)OJM46dOzMg(uSNnQ
z`1PY@1UL8lYEYCQHv4_&F9x{hak^A+%Z3I6l7zOr9{#L|KA|R5NVodJfuW)c;4N2<
zK_iH>d{yrGjRwnH4v;k6OnlZZWMg2?x^Z?@`m8T}_oQ1JHI(+S9#)99dae!++FPbM
zts@%k84WsoT=}NA)(;33CWH%MJOsLY=V1~L=ATniYcG37VAwC&SZu^q0Ql3vD=fZ~
zmrw~*L(T1KlM3OzWH`j`sf;{#yG3_df{s|w&_mC-6jtDCAX;*xYCDOnjFi&yo$j-A
zF?VzNu-3t9m9;4Ge(>~leb6STM|L$qOa&bsA-fr6E+GLYmkAqo6OSdgC7U%IiE3xR
zoxWy1w&Zz2ixQwdr?z)c8o8%8B@#7|exmf#kuOcThtQZnx0Jb8{utv#A^kVa2;&;G
zbL&@U4GnTcb9>SOr0-tQ5k9^d7i9Q>#Km4SL=frdpIU36o>7ElNiVqNY3Zm3y41q5
zUW;2_ZzcM{EkpTmWaI94hX%u}q!Ju0lfZ?mzSUbxu)NQ&myc*I@ApRpHDAJt?FT1O
zvNEq8F4!ZaLL(tuk%;DUE?zBfWsE1WPfwWHJVfDylzdDc2TMsGr(7aR%KL*$wYdk<
zb&G%MrwQUU3JN!EMN>y({0LINl%D7)jRW0hJZKXTARrhQj{A7d&AEZI*@sKTn5jRM
ze55Pdq;{GN$~}kvA7yzqk{a*5ASRGy78tqw9cH(Tce6o#x!rl%V6rkq{-Vtcw<rDX
zs`cp@(MVV4)kN<HB1!3tIeLo{(QOB3XG`%dZ#~Jza<L=9e+FkcmQS+XDnnYj>D9%I
zIC3Ovy2lB(08EPT;ddtqQvIoyf{7FjD#N2}rK^_Os+bk@rEBW;+YKQpTcvkdw}!fM
z6gF@`|CE+RFX{P^fAR1NNM*!6WK#Z$nqio>NYUHemcqMUpQFWKCmGsyt(MFQSA@JD
zktM{pv;#MggA}5qev{}f%~fHwLp<@}EhPG2m52rLl^yrhum-rXpwQEpVc^Rcaq>;?
zUllctk_C2iH<acB_2e+zjYK||Cl5(;D$ar_!D>Ch_Gz!Y_C$ngE;-)y^|2=WkUWBr
zt5Ns3_3K*tqVPE-hs%MLY987Ozn`VC3tgDNeCpn*Hbi77;X|kL>h<d>d^||LQ+(tv
zW5S@5`swbYgyG(@%DKUyeX!^hUV?@eOfWp>#_1E#)~r8<ZBH>yx6#rTe=4i@nsGTd
z>SE<nz>Gn4eYs#Zf%K5JUFw-2I8F~u<H$G2mXaGq+-SM>u;z`X7<uGI?9{$G_EqjU
z>j}+Be{oti>7DO4n^~?Qqt~a*Zf;`lJ0LG+3!9-ZwtZ!0BFhJOU6@JJej|$e_%(QI
z5=YIE4{LAIKqt7X^ltzC-Ghgx|9D%hMclG2q<G9`@{|pZuGAPzD5J{tMTIA$UTzZ&
zQju4IA;m^H@lb>e&MsbHumXoo^Zgq8K+N&Zm_1|mG3d!U4LDeQBm{8d1h9+mBEv54
z@;@S=zVS(Kd4I1Fu-o5-3w6_nQ+}z=UvZxm@}ZStdFi>BFar7LX?#=h5WeS7&_l#K
z%^ZVfHK_=Db7J8OzwQNp);E-i4T^1PvPHNn)U)!{k}%y2j|a?;rTIqWAHL|#$!6)s
zMLB8{OGnrcw6&Q4r0!tPr_G{y-!bB%XC&(I7GF5~7(Z|){80x*ZVYqOWu-kf#nR%l
zaaaD69*znajX#LEPi3OM@PTjV<@J#Ht25G}pGD~P5)b~}J1+2(8QjYe$0{Fv*QViz
zy_G{&A!x(7yCwLD5s(v?ng*|~9d{mZ6j+A#*G;@P5{G2~YJ?HkAA^g!RZglL%1Zgi
zfshlPkULAzaW1Kr%1Yo@r3$jG6B_m}W9&BEUAgt|R3E>;^_<`cK|R${ygAS4iP4x!
z4fq~mC6e64>b=Qm2Nq#9H)*K>2SFsnGMOqg*<`}A!+mgDIN`gt`eFxQ9n(lz#)Q5>
z|1>|GKFyB(56&;SYA83z9`zV0$1@8PYm#_WZ%+u*Q4LbSS!$+fjeK769lEtZJ%vXj
zPUKQ(csifxC!1h$ccs%JS#*m*oOC|03in)aIDLWEGc1MiBE-N9Y8-8VDdICCg7^mz
zRf`k;GG_RfVy>SJM#>;`&*=lk1)+qv#m?n~Sj4>LLeDBG{QdO#yc${1dR0e3dFguA
zs25Q+?Yn>5y2Wyz487#0Xexu6AeN#=jXOY6`qUq6P9B`4MxM>Q&hcSFax{l1_!H5;
z<1x=mF=J%=9{A0jcQ0XgIjtc?=NZ3+AtxpcZ;@RhhCGK7o@>KBK!8xeQ6}S~X@=QK
zG5>*O?h)c^pw+vz=!MCj)r<%D#CINqyjHTB^xVKleN^(K@0d7`1Cn$sy1=R8gJqx?
zuZL-j0yQf^Hrv;MUdO*Prk9&EF?J7LJYhr$ZnEv#^a}DidA%O}5UTKeV=*I3sQ)|%
z`aVu+5$whgXO#C7bsLF*{C=(!j;ei-`DIp2Asqp?9S@}X$cy;MSd4frBX6L$t$~26
zZ48GHa|D=*vZ=8~l~TOXM|6If1*!V0s=eSP-(9bofT`+?hP#wA3!Y5WNH3TF^!uOt
zw1M_GAc|h4q^@o%OQ`G+)SP$;LBsg|CU07NCanVJ=Yr;~5r0mYl{0@>i~`T*R~|BG
zulbe(BzWO7v&h$-6A%e(!|IO9Y(GvzBBM6hqVY-L5yUMYxjh@`kV(j;CMPk;fsp^S
zA267^7Wdrew+>N&Zo%FBVsq-q`1@t73mv><<7G|m5E@};w#(j8P(8V98p%89=dM@l
z05ajtd4+N)yPb7$rO(-_Ci63Oiqs!FPoDJ^K!rJZ4KjmS<&(a7*kGk-W7!)$^)PMD
z1`3YhwQ7x@a+Sj6Q}WTPeic+o*l$&ljTMA&V8z0(9;`sgTbedN>4FDAw$DgaFYDnP
zOp&wxZ?)Eoq?Iw{*A^W6L|Smu#?f1Fev;HXvTe`Y`MY>1K21pS56nwb@0ZD=`S+1V
zSkBn+StS=uxO_}`r4;vj=7n(;F=*#eA;+?U^d$u3?)9$5leZJzG-j+sKdkTb;OLn6
z+14GKjb^(?miwBfZS`;-BBF#;*kOtsxGVkm*HpC7o~C22r5J(#=R>wf;u@i|PXZ#^
z+EV1nU0{qL%zOJ6F%2>ZgiQ|~ksF5Y>sc1Q3|4xmrj7UY@=Wz(WF~jpd)09ADai8&
z2Xt5S(WC4?B@Vbh#kTUH^+$MUHJ&%xagT<Y&Sk$(v@4orL8v%7kY{Q$+-eFLKsHe$
zSJ?4oMqfIk(=)8p#lUq=<0ImW^hK-joztF5|5<~Ih49iz^;h=X{}oPUgP>{xk4wX;
z+9)t2R=!;q=qIz{aQyhL3kzgYhOQ2U0<QYM(zJlyL$9l&I!LXd!T#no?c`$NtvAy1
zBXve4UeQ`(dkx<k^&cF(;%GR1LbGTFP$dWcGOydW^oYrIg#p(SHi;I{22H_*Q~e7p
zO(ETy^N&|E_H-PE#nZcwX4V*>(M=$5r@tL*vZoL|^E!^B9HRK8z1jUn<ifRP-k`or
z^vR8I27ZkSe??6_W2LL$BcqW*D;fFb758du?L%FB5*(sF30#oRpWW|vlty$u%Ms+%
zxBR>I-bA+@#OPT9k5g8?W-@;Qx00q~M{``o0Tl=J>?4vN#-AsdD**ZjX0!nN(ki83
zr=8jFs@M2nq<4lDKeH=2E`v`g)M+7JbHq^KAO=lL^r!8(jX)P3@dwbRcD!ahm7aA%
zbx>?K7w&3z@O9uW0&k>FP{v|?nvMZt?%ktA;%7pRkRm;>89q__WuQ3itp!8Or*gt{
zE}3z_#nPp3e)62C(jWpbbrP=_+bOSbAA(Sq*zBglXUexU%bm2gzcuVf^7tR3R<|m3
za8qACPJtA>y}cN#L|ZfA1?;^e)`7yG9Ny4LC{+Z~Ag{Xd+wHn!;2rB*B>a@07z4fw
z%IW^K6+exsosjgMc26lzLHQVqZI<^$=)nnzL0l<kih@Zm=+^_iuDbF*clS`(C;&@7
zzGh7$eZ(&t>CG;SE2k*C!=4cGb?Kt0XqjpW&T+-q@gtb!_I$2SBP$ZPkP@@I3WnJ3
zkdz^)J874ox0EXqfuTCv@xy(5n5gP%0IZ^`AT@hIoY^%~6!Ic)pU7ELNjRD;qcEQB
z;PfpGQ-ELl`jL{C+p`8#iNxZ?%a`41b!2*md@DE*@A6^Ykq?M3S%c<x<M*|_-5N0J
zriysTh?|xB02Gs8sbM%$WT5L?H0hOMn3s+ZJ3A~{=7c3P=9Be&5qQO6fQ{M+0Px<@
zuOQM`CygVUSZ(7F<WM&fOnIiLFge$_3ht=;&CpT=RMUYuyps-TKV~5zo!6;$n?!YV
zo*F5fR*S3LCg=SCP?}Uzcd>Lkt>TX*v+P#5A7ydbE;pKb@nsDPzS7iuLA=a>^SC;~
zUakHW7sWqEP*Ck?Wxdz5$4RVi=CQ}qfpVPeZvPr4J?*B(j2^aM#I`S=){cQ)L`XC}
zXo~rWW@FL59_poCrj<DsxEw@Eefr}o+tNsQ{LN-ke%@c9L^8cy=D!qFtDnOl-bjW>
zNuyV>7{CWTmLBhD=na|z6fv>soOyw=lTbv{#{G+aci#HD$jqgq%PHDi^BbU0ALPD4
zkaisYi2!&fA{S#kpg6*+-0vyEkO4%ViQf3Q_oX{<Al2Zh0RvySR32Rv6OGD$&J~>k
zj~IP2!8_Pic>>jqfwAL|KM7ILo9R#ZU<?%(o76r1K~7;@T;Q-Wq>Cqg@(n0ums`qJ
z)=NZnT9<O)h+6a;TC6U-Q#|QU*B-k>+QD+Y+9DKe@>kn&<$q%{eu#Ybn=NnrFkn-Q
z;!lD6ZGPd{+s~>RdX8fb9>97{g^p36Oe}7v%lJJfcgmTIuX9M!x}sGk-dHLC&Jt^+
zQ?Xz5=ikkbwk#2K<X@efl$3lU2s3qm`|I1K*Lfs|iV=l2^8wCRGGmPUdoB1tK<Ziy
zIyeL!yu_@-GW+GOKNUaI^mn!wHrc(8NTzu$Lhpc6`+x9}o0Gvx>uvm?-NezE27Z@P
z^e53Y95=#!l!vi<+XfBtQDvCBx^nz|OIP(F5G<x<Czp2HOTSY;e6{O%F-esLF~88e
z=w2s#&`RjLVJU81I7N>X8p?+n>WY_q5^2TPT(2WCH_Pf+7s@U|2%rj#|BF1CuKu6)
zlRu|e=DTJb3_)h7zbsnGJ6U-Gb+AZxz@Mhg3q%k|pLfxpX1)wSQy^4|5RL?SnvQy?
z0)OC`#zi)v(^2H1_pRrfJepTdPn-m|CG_fW0vLepkxEl1q`^$*Gvdp1oqO-eI>asE
z@h3zaoq>rz^&e=Ms>oymyo@EnL>7Ara1J54IBpwbkD7ogYJ^#}4a*}w3;&PXEW@Ju
z*eCWE6EDX0rO=a7@Xo2(BB+q1Dip1?E)$OvMv?)FJ7Giv($;D9a}1xIpZz(OGwr{)
zFaW{Wveg~<%$D<I*8}f468+A`q3N_2|7}#3hNwkSV<=7sh(ReYCr1p~_QuOA*yYBU
z{_1L?i*9L#j-(eFzh@TbH-70dvHbg362J@EF1KtTU|Kv;n~OmwxV*sobLw+>R3*7H
zCmUwIwD7lipided71HN1^~U%vjju(PR{L@q-ht-!Ib<d?01^yDrS70Xr={TyLHl?c
zNOt!HVR|*eI|O{o`)RZuT&*V?x&2~6KzuA3gv_5{zg^}v*I2R?i6nA;dM=4WZQtM^
z32<MLXg0E_=b#<^k!;+j#N*8EjK(4X(-k^n&lJN8B#sMdGwX?-wmAkn@wo&6{m4s&
z^rSm7Wr~VHgQgdmwo3;8px#o_4xcB=`j2e`DeH%-G$ic6CZUPtW!EDVwyxkr+=Af~
z&TNn)G-x;ef=TA3Jp->tG?w+GknZy3Q%`zGu;!HR3p~h<+cv6+i<sp3bx=W<)z_%m
zx#HqRuXVdMT{Y^rpsNBXuxHdR;wm&~I~K9Y1lQ(WR>(|DIP>T7>W6`ng*9<_giIhZ
z*jMrbLf5sLc%dSq$UND{tlTaJHV%z;)zQ@U-Vt@deNPrZBsJ>TGXf>S1#@3T2aMiJ
zn<3JGGel6dl!+3)6=U?+=Nc+aTG2>IXCZ&-|8#`SwQiY6%&Pyim}<p=Kg?79LEdtJ
z-H<O)R<YF4cPN?ZuKtmu!oHyE0MKy&Vb`hq3mew=YdmIQdf!4uYnYdaFImnlfnFY>
zbO{B@qQuGb!XR#syuk4g`x(a^J0DbmFLOH84}HR5J^0VUsTqA$=!*mHC#Jt76hjms
zo^T89a(v(yK#z~|P+#TwqS#pOF9%L85bHWHPpu|C1Q?C~4iRyw<)bYl6)FpVowf-N
zsb3a}boqF2!Zf}m(l7eqXLY~jN}UoJ#`4BlS<yp^ngFLLJnObfZ|h#m`y8_Qmj_nn
zslJx)PlC-pe%PjzvzD$*a=)hmT==cAsd8Z=nO6nk(s<XW@#2qxSgh}2GE#`w-q^IS
z9ExUx{PBga2#d#gg*8oibHbkWxhA>mQoS&aQRs+se5bixxfpix=InmJpY5XM8OzMc
zc~>z>;IYXN`UN<y&kQi|9mqLeP`DGrPrr06_)i!zO0UQ@mEX{}AM?2MITzV?U<U^D
zeZWTQ2n-_PH{z_B7CN>YLZ6Q{&XX=lb>cm2vK+fXSwY0GvPtC#xnJaqa~jG!o-s<2
zkTR<e$4j#Nk9cJl+%({|KUjXsy}&w-gvI?R5K{`}gk{ZJqLp**=y}rrS*ZX{=3gvJ
zl8tykh3|06B?$Dc$X`*aCm_r?y3Nf4K*ai0^%kvT;q5&wG&Cwcu*@*fx#51=Q&8p>
zX6??yR%}Q@Z)@PdC5O>4#>msSZ6JREj%&7Wi!w%V42Eo2aW8!rlIqa<khPm<mRWj^
z%Dk#)snr&*dyGB39Wz}WbkaGrnpl<O8&E+g&XVnZ<=-oye@85BT_{OtkF(XVHI<BN
z-q*WXH)z;~AqQ6WREw*gP#`RWd4aA3&GzI?zF_e=cb1wgC|cn9(!n5(5M2O#R*O-L
z<s%}a_*><ZhHlLm*{HuzeUn~pxqyM=3-Fm2iX8o`8h?(~$~XvXi1m3lm<Ht0``o^e
z8S?q+;?6QJA<EFUrwm=DvA3<-zgb#LT}Gay5q`chru(1B=1u@+mMU3lWS+k@fpox)
z{de+UwBByqwr;^-i`V)Oh6`A^uY6f2@a}fDmgoyvcjUF+WGY2G=(X7{RRI{C5DFUP
zcKt2?jD5Hy5d^Z-AXY=H1@Fr?nGsHnq%~<4naXvC{|aC@bxnGOvQis*jVeHBlfVzH
z)V`DWj<i%=DOHSriGKG{a_{z>78gHwrh*c`H)I*pS172ww8EX1j{f{<`7P`f@L?!r
zN@ChYbVqH5PT+ZAPnsMy%5zQoKfFR?hCKjNWTW^M&MZRwcfsh{yhMyujv*+p!_p1A
zALa%2cG!RBZQrCsv}L?NDwKU~va1$lK97nSwmF4(iaA$BvVUlf`)r?prRsE~yy7_%
zEniwUUe7XKEw#R+Mz(n&l@4x&(SqIk+5R%^5HYSVyk&J-WvHSVn&&3FWcaJA;J$!V
z%yAUmL?%hG;TqD5iE$7j!MN3S9?`zjDaaZTqYzZ}X2iif<|)i5XUD{WFG0&xx{~{8
zzD1(qtZ6Yh?d`SVWCrD_v)g`Vz~eM&C*(2!5@w4Es)_;Z{7$j(!PT+z8x=z`XXLv!
z8ri2&s@QKtusN`#;L$nj31}U&kd6Eu+CFAkI0Yc{W?14bU$~M|XWQkdwh%8^<zzK+
z+j|JBsM9x?x(cVF>dL!TeMSJ@eNO2BR}x73!x}C*)Uz#d(o1zw07;F^ZzsM9Ajo;A
z(cikT`GSV3iGpN2^{?iW`sN`{c<Ksk2D)I^YdgH%T~}}J@+f)xU|;4a%1-DOt%;Uz
z(MnCh2_~*SL#9RDGUq`}OMaiy?9OVRDpeZtNE<KXDmI^6_7BNlw(|O?bf?3bN?KXd
zUmamOk#nHspvilmx^1gPN<eE!=vVAq;Ja^NIAJEQY_|n5llfJ_bhSsgUdcbyZ=riZ
z<b3`%hXxJI+Qcl06Lu!A_p;oN2zG|48wg0eRs2595AGpLVt`k{s;=kgGt)9Mx~d`J
z1K@-u;R2Z-w>UU{`ff^v4U6|0Bcq0`LkWFP-7UaSI=!0}3jPqpndo4`+FGd2R;#UV
z-%%)=lX;9)XU=^$p87PR>vqbvrpOmhF#v^};pNhCdis8K<KvQzHm|P00i6?hx}tqT
zv&2@QxxNyA;Z*Mn{g@hoMq35h7yq=FV!uEFn<AQc0Blp4gVYs>1`Fe%r~x!OiAbD<
z{13u<*ydch!e)yu%>o-8yb<2DS}e9lmL{|_uN#(Hzi2`5FCOuzGJfV&q<Z918%MKa
z&P+M02g<6?KV+ac>yT)ebC|j|KjhJ^Z=u`^kOyYz_bk2lS6trIab2IRng;0-3yhW+
zsudHu`d)9A6=B}IaizIFEAg71&PTdG$g@~jB!@`UXb`pAJ>klV_@z|&5*tM#y(o=?
z_iQey@6M@@MH~v`=K3zUUeR6%9Q4a|*80k|t!u=y%)Ta-{`1+c>*ngP43gjZ=>>jR
zzpSKApQ@O%4?C)!V#MFnqylH>_zp`Olik6^LE2MAl@Sp<MB^$0h`%O_Rtl~qZ;Os%
za)lG=o|V*Fvwh1u%2&LTc+3B0%>=Eny0K8vst-aHedUo3NoW0J*lUc8e}-(3puPli
zwXx(rF`V5Fe*5X8^pH+JVC1cAt@OT}SH^ORCH&#eBy`hz2&7i932YVDE(P(%ZI{K{
z5D3eggK{f)%wX;2Up7zmk;3I!g$=wLK2qy}=2whyxBj(afTSW6E?*t_Df27ALz!OL
zVtL>SIBw*qSm(Ty>+(s%Rab`#rRGVwMRyp&y*K#wiD)>s68+(ZCKWH8GiQrlD}`N+
z6U@lu5aB^UO#y#n1LN-ZRmzm#f*No&8lePptBK4?)?pjMeq4Zp*7EEhsCZ1m-TmU8
zFaMLv;kvnl0hvpN%jt*GV<#=%;?40?fSh+>DniYeZ{9b<hq#Y7h~#e(p;=z4()=cY
z+kvdeh$&z@dj4G`KK@aC!ye}wJ|0fkoJlKV)uu)nu2up5A6>FJlr%ITGtWWjMccZ2
zJd34mUeTPezSg_@57b0dx5=1V(hRpp$irTR3-4i0mT9CFnb^Y0w+ms&c>u2eo$#cL
zc;t*rb=Z^d3!05~eg%z|eQY$h|I(2#5lY6;%mrIGdH!*_(xF61Ytm?cn5ZGr-UMVY
ziVicoPSD$VH7sd7k3hQ*#^672y$3er?fM`To2Ge;!aga5czC8!R}xE6l2FxUm*}8?
z*0-+aoVx({%zoi(d>3bWHz)Le5c%UqCgRJ+rkAQef@n?(0t=^}6{p<6L%MX-|NndT
zbshVSPd(IWNUjYRIg^^X-}GQHe<ds->v?OL*G>HHFRf|OwVXydH%mFxdNCZfp)?Zx
zAxSuurIA@o2MO{wzylkDJ}|%YBy7!kX?{lB#QcUiP|xvrT_`Ng<R`gpc1{I(FMmJ1
zPob&tfkXSgNjWYk1Lv9Sm?r-b|4=b%vBR{O-`g#5VwYa26m6>zsmcS{T;C<?5=~!L
z0`I}L=j%n@jm-7Cajg}V+8Ut`+E*eVSBc|>5|f_#NVJ7mI)G8=pslg*(V{^I3#QLo
z*fjqZv*xlu??pwkf7X8S7%xFFk5Q)v59w{AN-0$ap3opAO=Xj}%zmPPyYk=GW!k7a
ziK2NJ#$o7IeXJFI1^v0jgI)gB_GxyLfOYqmE0Gdt%>0LLx2))c5VSxHYI?~7B7L;#
z(?c6{IGa11*_TKli{(^S!59j!Y6y|vnO~(y_MZKcmT_$VUsgoc?TqQuP#uR`clJTc
zRa@Bh*H6F^&?KHtFJFki4RAHx;W_L9%Yt>rxwuF{)+4XzP?M1%>Hn=jk{LgbNmq#-
zZ7cP^hY|w`pnABB_qK3Q5EaW2!U;LG>i*&WYvTsk&IYp?1TyY9Bmg~K_(!cjVade}
zUUnkoi04uk)gCCMYQ|Zf9VLJjjCd~xE{&0Io+0?7OEdBhnCE;?<Dsdl{maS~f^-dB
zTn3G;FW4_~|FS)_&&B{eU!MZ@n{%=CfM_Dw{O7>JpWcBc@uKPdPn5=InEuX`0)zmv
z5X3Ck_j7FZN)cb<e>8kIwrvfunVMDan^nP~QnwM|Mp-Fp%;t<j6|hk!X}nz9oCc~H
z=St-fU8=Ek2-;+&|GB^cSRWG+sP#-@;FJP@)9$j$hvEY;{uMdW&A4|tZ%HK<e^+8h
z&yVY#mRzBzd3-G4t`l>3(e$U#)pt8gfayg4dVO-e(8<uZorBvl(}DM`=qM|AVEGGS
z9LzNnhIbKPAKlxgd?IHITwIIqn$oCf>I))tgxwrf#aP&1F~^f^e0u$b@Zb=^6tOaP
zxzn&1CLXYfbIM{SMF1ID(^XGu<_5Q}FOKeodK!0t0}eXhuj2bsQK{nj(c!hGqjraR
zNj+Etf>o3_H6F5u^)dGii(qS15RVU2W;n>SZ+IIXob6ZifHo*)aE?Lp3hwt$EzF4b
z0z#T@{u&c0{(k%uWpxz3P30@EhP$}7mm5ibvTC`5d(IXZ4c%Jl|6<S{!T5~)udc*i
zWTq^L6ii`V?|LT8eW^ll!pgE&D7u0^!^}YHX>OjG#xCo)VV9gs18$j5(fwpi<;Csp
zY8bNOKR<ZdQ%;z2GXf5~kU_UkFo@6e>i#W$w;|>WG|i64Ca$j-smemre^{-bgOv=g
zDDv);J_VY^6*EpK0qjIID+EoJz4S1_1buf9f+<2kKhr_?urpPq<4s?OFfj^;h}XT_
zOc!3l8|cN^BtMLr_E$o3Cj|mC2I<OSixu!0WzGW7-ZAaFUB=HA5atY!%RC=(qyja8
z=-cMn$_!SR*aJn;XOU#@Il@ci(hSLB6t)>|qgTh;_P3lD67R61tN@(EK231m`L8Ry
zx5rNUXNw`%`#*u@Av@olYW95)o+_X~I4A6#gyL+BLR-xR4bl{bG(n+KPxIp(y87)j
z6EK>n^L@Z+Xk^I+oH}rCd%Nli61WmG`Tz9;B>22J<ZC_xs(wBJ`|dWY3zwX<3OL*N
z<n+3LeK6jg&aJ%uxI?gNlG%CXKDV1-aT0#7b;>}fu1N3Q=93aHM7Mt@?#*gh5tGAz
zqneJN5hDAp@DsYVnO-kR(*|v&vPm&A{lgga@6gzlF~6#6(pwGD#Kl4kwt9|$)v}V^
za9?C8M)~UPiE7>4wqwlLuRfFox4$+fISJ+Tb5EN)?%2DaU~M$gq6@<7SHxbgv}PuA
z!U@Tc_6!1$^>>Q)z+9<c@xEI@rN?*#7YPG8TJEr{&bSLKE`y2qJ^t@EH`ZR?R4M6^
zp7ZYbu!}0GDlyu}a{g~VdnR;WIL`E2N3ICU4tFF$ymef>{XuPB;C9*LgrOR*6tmF$
zZB2*x6P5OY$CO-jQM~L<35f=}Unn!W(CubPN)>joBT@?j$`u;e)31iZSWi-TA2=y?
z_A>A|sh-RAd+Ds$e8S~7zdbt3&4-oFAORnib5Y*Kb}iGH|M#%n`T>Eofrh)4s8aMX
zJl%%ZGi)ff(ik5STsJp@0__=L!oq4XXgcMJvyI`G&J?c;?pgZ7TX<lK2b>(EzV3%H
zV?oE8)~BWx0%|B%{rYBT@EZ(vZewWO<bQ16?*^@j)3ybx=K%sp1xFQ%4NB?!1}B35
z^h)`P4LmEKVK;vm6W&NMgM6Axos7z)5*<=OnhWoa*-GeATrBszcW9RJfnvX<7|ItV
zxsT`lFrhnuj&PneXHlrkC27m#>>nNuz2wbvIZu{w(IJ-e!@SDtCU4GOa&K@|7lRFr
zT%mAI)UNVH0B4_Y^k{TU)t8?a9Q)0Tq98Ym7c6{szb*ok7vKCOM!{Ea+k)tfY*wV~
zQ-P)<2g>RFF72p`xa`m~>808~xCeUh7On&y-^bmkSg1NS<BO)FvG}25j~XsttlKWF
zH#r@V|BPP)x!)+ALy2f*ogM+>eef{w<=dWTzNVWh<wFb;?T1yt+kc-nr|T8aX2?E*
z+oh*7W0aobWG9CJ>#hFETMDnB<o<y>50ZIrv6g}|rUa{u1MXWvKZ3e{#r_C!qq}|f
zDTJ)l{ae%_45`5*0-zHoDS0c2sfKnv<U20^ey(`!V?KQ9np1Rg-*5$G2$K$E(q|P%
z-^cvfcwA!`obboD{u<MEEWumJ_b+2zyM0EoaGs{R-@$vKlMZZRl5;IMZ!W&YtooGc
zoUy}hY-3UlAMaZPCG>{>L@lIM2(5};w-F_G`&RBjixDbys&duC*ZHFXcd}u~(h!A>
zpZ6*QpMrIiCnsU=W0Iit(@)m_W!Vnc1N-P(LRfnF#ui1H;I!tW{o}*L5B3a9Mw~q9
zJF8c3f?82~gJ2+K^Rz`Jf-817nO2NretxO_NoC{WqI)Uk;v$-q|9RVp;F6oXcOKT^
zh_!GaaM%V{>|qQg+=aV-k7%@?o`<A&31{??*ywc@S2Bp&qx@fti-2qf)hfX84LE5#
z)w_7~rRkY;(wYVh3$?BH1r|tC_W>1yA>#zsj7B6|)A7s>>M_jjc}zty9uCc3NMr0J
z{58JRK2wyBN4#+~Gv>V1-|OjJavV=&i}{mwMQ=K6lU9^X)<c;dzq#d|nOsm-pT1I4
zr0X}M=OERCv%%NM97;6mgcp2tsSPSY7D1nif0;j(5Y*u46E<{^cDcsL;Q+Ah6aqOr
zcCu>nq9szCz<uRs%U&6R>B|`Yd3uaVg+1Q#Z7uF&F4)|Gg4tsNGrs`xe}$k42JtFM
zYpPTcwFML^)5~OW0f0ljyj|2V(+Scrrlx_WGDHGl;Y3ora$sZdJaff;S{Ht}<kim|
z?(o`A-T5~!XK)M}gtBgxdfdWgane?;<|Qkfa(}=N;M5-c<e)%tNh--YRj>*%FJn@j
ztnw7nGC++?Zcgi>d<Mm=dW!9tYaY(4jq93j{NQE%U5NO473T0emrnn%SL%SSTrqz8
z!fN#!zO)ZG#dTgpy_N`XaB5paFQ4H6=c-ER$lW@(prYq73M9fPUgH_(ZhFU;(s~0u
z7yHc=ep0R5qQQYu3z7w`zW?xnZ|Z+~M?sTH5!N~a%%<2^L5=qfJeUB&2q=wy6OqfT
z$!gtz(*=UW*+0ucv{m(HrHilRNenuptNf1|J^-|8->#zPmwUL^fC(8lQrbrm@%SRq
zM&;he#GTR9S0uNGC263=>Los}KYQc55zZaLz*jm8*WH5&sBMn`UsOs4Aq8LU5@|a>
zZ%<fiS2`7cQcH+-|By7=b#vUa>b9`B=CivdPB@eQK<R6rk_$+3^{R3=MVVBQgec@F
zeZK6nYa9FhXuwUJkr_CLZ11h?vlwLobFh=7jd-X#384##XZnDIei~i$5ylRyBzT!c
zLyNM~;nboTmFi5Kvm$^48fjr+Lb%g=0@^cZ?Se5o@P8jWMPI)Sf^KayyiF?L)pw4g
zUxzz$$mX1kaHdKH9XQMx-5Rc5OOTiv9JuC)M%8*QW~X$qu|F7f7B_g(mZDroxic&u
zc~%f>j!LOr5ya4~tasDZuLwrpB`RQF{h)g^NA>9aAU^SYVfZLhDv)KnQk7}8Zw8;;
z?0gE_Ci{|;F<^(8c}mYuJ3>>Z>!t<Y@&Kfs-J@?+V+;UhUc0UsCwQ<u<c%u@OD1I>
zf9d=_WXH*naUdgLH<z>xa~R%{ce@t(scaXAo3MbhKFFbB?^K-sd-b37rNDEF(`cES
zyYPC`?F%D{`4_3R_WGE+-jVAu2`VuFhWhKYx!7qr-pn1NWIxi+J6aMVx05fgjzo_w
zhK@En!LAR;#e0W|?9PL(iK;p&f;L2_Yw|Qoj;#wovbKBM_3cvAHg^+nN8S+OSPW+d
zP!rG0`ZUnFc*c}c)x>>a`yHex(e3y}*BPf1I$!RCp`WM2dhsZVkdU#9{cW8Iijs~3
zB!TiqpZhM0O96AT-#!fyQ0Fei@^5{3ul{*pl=*kcdehxoNCibt`fE|z<|joa4pM8C
zQ{@wqnSdSCD{S;oF@*xs&tJce{5|!oE`ePKo^0ySu1|r7?B}h&H4rq|w|S|S9G?ul
zasM`%Q_Ur?ULF{Tze{d-$vjBquC1JX8=X~4-?d29TtP7q;F&4-=O6RvSGqAy-g(X3
z@_FF+|DF{0_c~q7*s$<B(R6oUM{FXxwh7t`u)MGM4WP3b?yKG#oSFww8VenB2jD_=
z2jtbA!F8sA9a-*;zIBH;+eS;FEEhE_VRq6-nQliwo{~D5$IH9gv9r2TG3JyTGnR*P
zeq>=Ql@Q=r(WwnFfA(HUnjExq9VHa6jo*5}#$wFtAzo4*M=s75-!LL+NLy#G5Dg03
zbR3**_yg{8tboq2TCTOUusXMK9RH`Hgvv}*R$Y8VcFRPSvs8ortM?|WlCP+AlU7cj
zHt`;Q{8ctNMINb&&r`34>679zhgdup(7byk#L`ji*e>0?n$G<o?RC<qr_s|D)!~0Y
zb%wAgJzgEmZL>H3%&{)PJiHHr5qmh<fA47lC8egESPC{>$~RSFsGYgHJWxZ?+N=Ts
zZi`z4;t>Y?dMlM?cODvP4Bw@7iI3I}{G@=hkM-Hjjggx2RAlcJXj&KQ|4A($zWG~%
zD+YZ9#7>g>g!Y<^z^VDaBu#yJw|*M4SECE&WdhYvRvg``Ir8!U9-7S9AhKPS+bL-c
zo1thQc-{Fnx&k4xLD*=Wy!(6W$K=oRW^L@NS#IpM*5i!y@<*R}ORT%R%zdBoKt5XE
z)`GvU`Dnq;5Hl-s*(rm-3)oa0HJ8ykR!9@Pt9MamcE#Pc%Df+J%uiH>K=I@o^Y?DZ
z-1we0=UqH%a$Cl2yV`X{{_+%jM$s3UXxBJvlT{)vbHqB7T6-Wh7|{B2E7W2J2e&4<
zVD17Z1J3|p6zlzqFkqMcca(Z&m;^I)?;z}Z_w03aC^;!J^Lvvcy7@~wU>Ko`SSD8T
zrsnAE(A<7YBzsC;tly$^NA{Z^XM}IAzHl<NrD6p4nF=ZRKF`>DTU1Qho(MRzUb<%u
zEwu0<TLG-Sebdtsf4m5x{q0NI0~=AeN_d8HFZspr+DJ6HFlK}ZcXxVjACwrImo0i2
z^9Wi=n+?bs;(aHFEVQ^-R!80jIbM^~2_OEh<n49AxPeu7x>&^y&(~aCp>JxE!ivPV
zt{*bJ(^RWWLy>z^PD2BdyHvmt48`n)f%@Z?tfUq9HaC$nO1PD>bOUAaN07(k7tTks
z5q8QP=a7LujEhn~Z2@Q)Wg5&{zqjieySU%>NU4Gdi(vXFBk<uCH*9PGWda%kssdXL
z{ZkD+O)BQRpIaxr8{V#eTPmDPeC|~6!kL;TqwRrQ8DpiOP!}C1taX9^@@Lf*1Mq;e
zTx}{Wo9z41ULHQY5xN{+x+G_k@}myg@ChOs$(3Rpv{U$njdDQ$Qo0p%eul;jH!@r9
zn>c0;v%9TmlE7nrNrFZZ)r0B%Cgy?WxPPt&!n3SD@8q!GZj%-xs005yQ%#f@<MxNg
zbPoy6G+D7lZ@~6X9<dVZ9Gqb_Stov)NZ5&fAT0x4vf;96iDUhwEaCeEji?J<lf7k8
zk}N^-aQfh8EL01~jk%YjzLP|q&9vQ5Z2n8O^oCv5QzE&*7_LF=7iHjO{LN(Extr)3
zRJ;L|!~s(|)kHzQIO&Iw6%FFMW8E#oi()&<y1SR-5{j<M^Su`Qx1Cw)xG;oZ-mAIw
zlS1_iMT;7L-`5!WT&SAe$2{-$J3^|cwu?>qXV&!jP4<j=|1$_6J{e#$bYGf+LOcm)
zF7vNl_zB5xZe|!RXV9G`e`fDpYKBv$UCodXo~#RT!;qdKErw(;<g-6S>=P8zcU*MI
zf>iTg)AA5Nd`r9vl84N5%Sq*@PLc1zrk*s(Fg>p`l4k$1Z8`ku>54*WRnT#n+tvgZ
z;unt@$+WR2`Ni491oh?DmzVgjC7DmxIArJt?fiY=TT;&qNX}9UKT0&bBBE3e)NuA;
z4goE-Z+h=}%MX3l;w3(dFuL^wG=S5Z0Jb<|kd^nV5vc?H4KTK%1X&Q&lQIqO2QJbm
zY0XyO6<&PL%Eftel`w}nd@iKU-V+u(krugvwRbGn=iI=x>3%NoqPnl-wPG^{*@QsX
z=a#JqhRD9lpMfE-jtuGx!{|6}YdY-ecJT4kEC<qGm?AqI<}bTlH?6zXrAgA29RsJm
zeYw%n`$3hC;$6hl$jx!lx4hm;;~7uCFg>C9&q(|$PFiSe2>QNwx^G`M{pp|1mavM}
z9eGP*OpUW%>DNgbI0<Gx`G?9c>^~m6zCAs=yxR`9M+~U%ayS@&bIg32cw4ILI;~1w
z^S^I&hsprK)bUDGiVBY^s6oLLv@(VJT%U=9;Z<yQl(TyBcCHnuKv5oNd3$5eid6Vd
zz<KVq%3g+0LX;zMW73~5qelrcFO}D!2A-LccByIi-EwAk{yy2K2N&_FZ{C_&70*d3
z^{`^}|Hsu^Kt<WL`@=(bibxJfDIs0T01kq5r?ep5J%qFpA|u@$f}|iwcPL0mBOTJn
zj3^->-=61r&pGe^TZ^@H5%=u6_rCUZ{lceyVF`;T>_$k#QR|Tm1cLbCmA7yzbvb`^
zy25hyTx{er?-n0wZttZ1<g_ygTgLO+;VeR85m$l*#s5^&Nudn+<>vgwD%-P<(>|tM
zwuYzD)jW0v_d396QCwf-_{s4nd0xhk1s`OMo?bEI3+*5Blf<P%kta@d4rHPbK}i16
z{{7&nV6OAHE&of!t(>e|owIkstoX?Yyn5%osUpHob*PWH0W{Q0y5r9KF9GjG$Ng3r
zzpP%MI2n~;vdRzD8ksVAdtzSWJBvMVPUvHguiqflUGe*~ottCu_UL!N>9<oUYxcC3
zO=+@TOPiSQZCB=jRS(wyoe(&Q&+S+hCB%v$9WuSv^b?sTmw`d#ezp&+`EN6|)I{|`
z<J!*>VOWP_MY8Ryd9B$L7h)gw@fD!D+uM`}Xo~jU#)5_h*ST&1TUcj*%I}?ZY>>Q%
zvICW`Q}TDQp1Yf}UWlVT{D)(LtT_`*BMFJYml3skpMh;QK3}p|*p+0`gAk`o{FESu
zMn<z#I_@Xdw_M8@bD&_lzyBS$3@JtMoguRzqg{zB`$rqpT<dN8_&X8VlNJ|WPFHtd
zKM1<|B@Ri4Cl_;<B|^j#_D=rHdIuF6`u^xYS3MWe9leNfYf1UA{rIs?9=eQ5DupGR
zSE<u09+bkapjpG8eiSv=ozrLiCciN2U4u(?-HN7@aacUqi_ayxeDLN?@0|%OHLR|?
zV^8#{Z|O?s_5o{%Y)LE#L@}Oe_hM;cf;w4+Q_}zEv(?j_yu6>!N4jl9EYARy`|SG|
zjJOlMw{O|0UwS#F=@#k=xtxr-clI}nJfJf{td?&q#nR*J<zl-5z0Ke_tA1^Lk1^MX
z`Nm@b7Y&_PA_^<BY$B#xS6dsZwRfLc2y?dHeqnp>@~z5z$LW}z?)bs4e3*V@zklm-
zjV<%!qT1)<bk}ux(oFnXJO6;f`s+S>BO|Rq{+G)0#?hOx_h;=k)qc}JAf_Sq8t3z=
z9*FnY5MHgxuy)PeLV6?aEfJjdQx5CR9O9gc(~&OBN)rEr;|_rUzmp}&T1&A9A`@3$
zW4i$%23{)@G<^I9uobVd@cE#())40%i0rZ5N@(5{Fn6$-J$zw1XrK-KCV``yO0XOL
z6vIIS=<OwE+7qvw@46MKr-db@#zyJk8N{<nRg2eZ&sU}cSAqG6*tLdmnwd@d@u*`J
z*<fnU%JynUhSu?f)o`|5ASCR^tLo`T&;1L8lP`8VJO0`tJR9)G+H~3zX4oJ>>u>+u
z=+dsYuX-P_o4jGV8OsQ<j4x6S*&;R-_77+z?Kfr6**EZ;OuRUgC1NtY+dHf2*8BI#
z@89K0)Z0h%I^<yO8PyLlq}h(V4{;r0h^lk=<fSf$YPIe<M|IGb91FR;cFM>;h22ZF
zb^Q<!Kb!WVYp_R7!C!5Ga;vrI)%TbVyIx@@v%vX|s%K(E-X?DChyrXkgeMNa1-bZ^
zVdZ^63&Fu|wdJ<a$&^bYvmy?e4Q<cjHN69i5N~+E^U|uoyZa|?Ci;<H^;b?K8wOwZ
z0P{E4uDP)*_jVPho=_!j_OeL67Ps73?V-)d5!nyfz;f*j?)!hG_k8+XD;WPA-(W#h
z8jO&xPbFWH81USjTUsK!>|kVUUA60-a+<e^wLomLso98~`3baBGq^D4)=g2J$}|!?
zIW6aPHap=92If>>eT#1vT$*#~*?lE-(6GNiwsLARFMQ`i+|#p;)a}mptq0?Q_{HCt
zjZD1w`OXx+e15eRSW31NcpdZ&Fs6)_URaGmjrLQUUFyI7gq7BH`}yM<S=6+2q_Tz=
zI&6j8K7TIZZ}zFm&e^)+$Dg=tQ?ZbabWMVQMg<iE;j3T9DeYq~#Q<k$uE~R2`=+xP
zx%&3pn2p(@F=h?Esrxak|M|K9&mN7H{j6!ON{3|%!!aEd*XeI45|(Rxm}f9S@FhD%
z*KEkz1(SLULo1oR{$YIAa0*lQvSZJwM%AOwwcBaOPFt{qkJa6O{_yWGUl@Ph>d8tw
zd|_Nsbb2M@#EtW=iXYa#mmSqJsyfXq(lqts1bgWgSw(W2whQ_9;1*9V3d7OO8~#U*
zsSeFewBHuR$Epelq&^mf3cT;At-}F|RoV3eCsxL)muQNf<dV(Id(W^##yG}S6!rsi
z8X5RXyuH+vO&DVusvgi~H}v(VFe^FudR4ocxm4RrjLaH3E!W)2VwSPC=tl=UB2>%m
zY$`J4m$vxwpzV3ua5H9+^;GM(FZl(}NL<aDbfPYYA^9PB-xX$C27N1=t+EaUF1DLE
z5;yH&I>w{h_1HiCE0#npKJNc)`&hYemR3bp`P;FosyE}<MC()O)3>f279ZzBG~+V?
z@u{_nKfAehBssg^l*eN*Ll122T;b!7+mIq0=-WY!S4sfn&QFRHM9^N|CSpCe^Q%h`
z0t6DV{_X<nVBo<k{d)HO6IGcc+q{@ueDJUXQU4J9rPC&NFH?ZmB3oRs6H`pMQh$&V
zZfYFS=-TzNA)ou1?(>@d7plV#ZV?`#cYsUw`JlWetnZVSe@B#hyibF;DYEKoqYF9y
z{ov&ds+G4R{^Xp8iyU|!K`pL%^B(h%W&+I_yEaAwBZ57H>&1HgBf|h%;lHO`PEF%8
z1ts^B)OTi$hDzZ$+wD!Tl&DD)^`@o;-%Ha24ktQ|kk#-_|9KG`UbeBL4}XF!z<}`N
zg)JG}((qi$bd!QH{>dzDj{g8(E*fEY8+UyrdiS!uH;;r*ajY~+HW(dj3aI!zFI@(p
z-b>=Hrk!Jph{amB2ft3$)-Ol+xcTrloNtr7d>U9jZTvvb^Ta6Xly{U-_q=k#Zym_=
zn<L3MdCo;ImnoJZz}UvK&HNXwvrpjA-?HQHe6aSX*B4!Cw>@UriJnO!715Wd5t~Ao
z-){0!@wlLK=amQDE&s%`IK|Iu-SI5Iit(<E$iz{Wy8jVLZH$)jerE^Z4+(RVwMgTL
z?=#Oy<=8fgzEJx)LtT<hkEm?)*?F>Ib^ng6fV}Lmu0Jgzx!>+(_hFRXT8FNQ`vqiw
z6C859H|ueS)TfQA44&F@K{Kl72ure6duKJAd)hDKNFfxt%i(F}?FWBkcE|=UqR_AC
zI-1prHdag@+kRoeD>23Y_L_XS7-S`}4o1v%?Ms&7vN!M^?e}|*e*G2B%8xfrQFaea
zERSmDA)kAO-D-UNF4{F5bAkApf7K$b`(>84`vtV?8QqV1fIlOjT2NPB71HveXHI=F
z+BhdFzvc9OW}YD;B`5;_?_!#1+*F>2J3jP5{nGZwNWN6B+J(KkiKFYF(+2m!g!{8c
z-w8+<5Z={kUjeaBz(<Au)Y>j?KtO%ci0#%ivcaI1i+y7V6g0xeuKGy%NXMD(#pp$%
zi3gLZj}cQ(u(7&=O3}?4PJ3Pf#vY{I#p56s3|O{5F52hRn>W5rX~>)Qvt*}83^Yx3
zd+|wqJgcwN>>bIE9*J_7zEA%8fdJ>3#)vC(6&Au`XVt7qOg#danTazpml->8)cl?<
z<Mw#n<V}lETlU~e0k<`vwR;^%14a&l@d*yY_zMBAMxC8grAsBBUpv|mNI7z2Z;xkc
z->3ZAnno|OT93kF?nU083b)=oX#_3g0Ix@4^dzkaEh>bQ08B;=4EGIYzlycqp1+J)
zwR&uWLx;;mGgE~JKsZ=k%XAGd;EC#W#J219dzzGK)aM^A=hwRXBKUS#B1>Y=<Er!z
zyR4&}_#b_ulCA~vSRHtau#W|~k^M5_;R!zZ%ZUh+ceueri`YqdiVp&iKBp=7B-423
zPzr=FmA{YmU_)mDeikG(?H&Sc+YPhIA)Tza3N;H-V&mb`YKBg|f^*q2M5mMabEoli
z2&NjZ<nJ^;AdQZGKpPoiE9gAY*4n=>ZX$X;!t1^7qJb_uHL}hqmoqpIdZsg1+ZRX*
z|2~|ps-wX4b^$B#w$=D`7pa(Ga@e*JEyq9}o=fc}00~&i*-|IwC*fYVY2JikBW1><
z#PySW8t`jtq<-+$Hmgmv7~@E8p8yT_%Q%!>hLhk8pG(CQV8v=4GK`hZ+iZCLC*dq%
zuW`W@F#Q9M+CLuoorwggPen6&cUUt+y2Jw2#J1w)Z}wR8LJtW@ZwcuaREUu?m|M>7
z2KAA+n?7`@>$1KM1+GPA+pP0zD*cypQVR3B>l3}aQt_f3%CUl$<v#62^<-`m4?RO6
zrBfTX+%cJtX6j63$+XHT<5Gn4F9LS`yB;~_{st8;V{w;tS?g4{%KiCKJ3GWYA?5%b
zdN!SA`dMX5LH<>;1ClJ9IO9Wmj3CXv)`P{;6oAj-kuxG`XrAczfXvDP>B<)4$;VDi
zRQjqS;p+)`PFQMTkXYhUY*Vj}iiTTF8hJkRkl2e`H7X=jLOUU$G)SE}5q<}{P}x@x
zzB*OxjhwpS%>_~w0U&9zdLVChI}H+YncGGn-D~MoEe{eKsfAUK#JY#R6!-WwLbn^N
z){&P_#sX-W9(WVVT<vQ1vLj(V!5yuwB%Rk6ofPxVwC2Z|vwbJ$z-}_(>SGgmlSAi|
z^}{sfWS}25Vs0XlZF@l+rpQ%=JR9i6vMh21Ns0V#`J4dev*-8@C@8V)ND^5wz0YGt
z>g-3?r2tH&Z6)gv9&hxd4M}<*#YN0&{<K+|1>H?yZpBqgYCU}4a-Wbl+6InQ*cN|+
z!bsS_CFelx<1?Xnl8TgfA}ISn*td|RZQAvxd1-jAleuHX_y!Ee$9eC%q75G+Uu6nt
zsPKoOSU-<&ytzTGu7;+2uRt!u)ED~R$kEJA3I|!ZuAM@<ePh2rb$VRe3{A(1`gHh6
znEN&NSE4&lMmMxM_?-y1>fNf?T{zDW9MAX_T-}v}u-#<}_{XHG7i>nzu$rE~Shl|6
zfGi%`JyuqJhbTVRx*5y_)i3v<;rJVCCrp0^5<cpPL8)adw}8p4)tfa4yyRh<v&(H+
z3cIn~7Z!g?EW#rQC<ac>JAVWJpoCZYh<!yCD_JRF!$?dDg*N~ASR;WOdOmV+&K#J;
zX?t$d$BgKESmrDerG1jBTHY`ubOjJh;|Dv{JT&3y@~HVY_jIV3cw?#5cmm&&)Gk%_
zoF8(Tb{LT-GqI{YdJeJUR+35bd{#5aNw|(j0&D!U4F!JI#9$>)aFhMYT}xjvcz3VW
z*;u&qQ=2l_3#~8Q&b(N}QB9wKhYM*LD5uDnn6(pRBwu@=W1>B@kNb%NoZLuGa}P7b
zq1$DhQ<*f#4N}=3Z*>_MU!9GJTC`97@C+LSQZEWfMZiO(0NE6O{Y2unb&qScZm}JY
za`tzb{(_b?ztiKrn0XdHZ3s1A{*{*Kxy51<;RoBV-FG?&{8R<Rf|qhPXpnTW<E$C6
zk{weFI90_6Jv;v)^P2c~QxAx#SwO11>3CFX&6?$c?sEC)3L11$pZCJ`BZ;B8Kj&qS
zz$Nyg&#c+|;Kou1!8>XP01-}=>lcJ2bAeKTpah=20Z{)n9jARz#`+vw4U}@Kb)1-J
z+}qiX5nq}`KUpSKh9}gOI-nvX4p}y}h^!7Q&8nmaUI9;QEXaxa_S)AJ9+FF3^ixiV
zc~FT%?iYdv;`tBt-Jfy!PB!i~%!rclG>bY*<b;f+X${k6&%Lp#|BBTsn69all2Q(G
zD{8o5iq%sA4?=l9lK~F=TfLtkJKM;}oc=NXcAm0&wtzX^i4k;MOcf49sutV6$UBk!
z5^tx0LGMugZ5g3;8GF2ip8I+mpp-g&JxPFC0FV?o0FE~AG!IgdgX}dOxLT(OQPK!J
zXw8xoo@~&hOi5=e4Vvc_vZ9$(oV(|7<RPSx!m4R8z@FAsT6F)Mp>sPY#kh4*(dhi^
zOkky=Ja?MLrg6Bwh_|=xO<?G;$EVL#G!@`%@K9nI!5)N)U}5@f_lj9aJ0;=xlP~%M
zN30?QD1^Ok$(hIK4(%~&Cfg2&v-rceklt3pI$Y7paM3W@-4oIiCNkrnM37pyZ+Zu2
zwbYF8M4U9?5VSxZk!H>8+WkQ_)#yYZk?x5L9SmuEw9*&Qx=(n5HJ7yjPGN(0F1stO
z?_nuNB(Q3|g-WSP=kA!7)67euj;eO02MwuyUKw|>ks|#d54I?Djz?~Op?Hb|={hog
z?Z$OGni;RZ(%}X$9qu{L;WB;yEWly#dj{>T=TPK5o_maT*<p$ooq$Ur`|&UO`P=+&
z69wt&-NV@4knhi}+EGsY^}M)H{hP?w8Wbpyqs(QzF<;EaZRrV5Rg13x3`|5{mo<!Y
zsn7k>AMb{fdktGBn?78oN?Rhs$P{K`7{0BJN|i&gPW~I^`{L<MPpDKK7VTTS3sP-5
zl2*~tpIi^ZS&tQ!)D<X~qjN3T)PKw)t==P-HeCAIISKS6A6SInGJhI)k%|YzGdx#3
z@NjOoJRQ@Al>Wq%hKBs~2j(AL$4G&@odRx=uPYB4)9dOuh`KhLk1raMvQTL&k_2Y$
zgJN5&LyI?ok_c79dP2wtJt>ow5Fj?C^uDJ)jZ@wE1)ul_#x#hFh7rr-a@#vEDJ=L$
zUQxvY%|4mAsFL6R2%O+82CYZE17d1ZEf(l9T12JE&|)%IO#qv-;P@igx~x@_ffh_<
zVSM$p(R!La3XB6!xpRW9@DZNcgQLcl?C0d1>w4VZC)CaaNB0R^)`>yd92A>$gZPq1
zVr0_ZbB?<HBJK4Ne1iwgGO&A>9HrL6tXuA5v8qjd`S7}g8UA_Vw%AQLBJsBae+0>=
zWZKt><TsJq8Q|>g`4xu`KX4q;JlmkgMHi;4!^NwB^s{B_*Y^?=%sF@!7T*1AV8y4F
zU+K^Bl7L!+^V(+WZmxh$!OYB>p^S@o(#5ih{vJ9VIk(|49zO%wGQOQO0equOZ<4a{
zwr;gpWvkj1;=8b&4aoB~-{;y^Rug^iV<|U%H&Oy{^}?+an|+T?`^dg+!VioOFq&*-
zZ*&fUZjy^o))&taj<phlS751>A>;)X>C-MkmBi_h_zIA}v4b!}Wg7_wl`W>2{i+7X
zSIq1Hzw_Sj0Yz)Y(t8=V&uvmS2xZFzQb)*ARLaF<=U<U%NF<?4kz>}p{QX68Ks|EQ
zx5@P_IO}C-iV+-y_x%BX?u(^j!|KW)4bos$`>mZQX?*p}yy&I~*orU5N=hA^kB1h5
z^E=sn1D8coD2kUKPBV<{j$lxXVyGQb*S{kl1!`?Y;&t{3VNf9B707SLrUk<;<4!$W
zc}j3pb|Yqk^qq}>``_6zR)(}K;fxPnZEge45+0F8aRWSx?8&EhdExk(`UA+^r?sI;
zJ8<OXC5b@P@Rn-sAQ#TC*r30)6rV8kHGKUYwlx$<hxj1Rsx7L>{t~%^_r=;h(5Z7v
z7&sq}h$)+;6)LW&G>i<;JM!O%%RBF|{>S<U6c_>YqM+dB8@8ZTKpEiyY6z6trtSuw
z8bv`&JZ%q57++FZmp6E=Cw^`?>?*24Y_=Y$%kAEV_hIcr57swg=?}`pOUn?8Wq$ed
zUk69o?{OystC~FZ+~l7|q$e((VTyWFkxS!%Ce52V^hVvO7VI3ow<;i(fvP9WucF@7
z9jw>Ti=%+nv#!VE29IM$$xsy0=bNh265OXcG)k&fztMaR1Nrh5s+<WMq@Cv5gRubG
zXnt{-Z=E!B_I~mJo4-|oB4D%b1@+~5XAsw-|1)w3(8k<%Ato&A$wlWX8tzB)sv%k{
z$n74<#SWrzdEY!6lVUM;2im>VrXKzHh1k->h86b~j?*)%@Ydstyii^OlDTtEl|5(B
z^EVj{v<&^uvHsL&{*733IfFo=+u~f*qQwK0?@jVWrLmDqx!rMj8+(qgL1XXfe<I&z
z>E&&@i&CQWEaiX)LIFtKW=qEGQ*Hh{aE*J5D7F(N<m}!^pkP8gv5LD<mN{RxK=y2W
zMd;uqzVu_PFE5=91+vuTMqRRa8Y@oKl&@Wv6}oX&vx^YJq50qAU^~Zj3gu#<r;oAM
zw$*@0rRqZ$I?M4)frcMkrX#m|c%P7tdPaeOg2<wv4;hnL3jfNkWJtQxUm_g5%21fC
zdNI0fPNww?;g6!$IIwHGHYO_qOlM{>cOJkW>{dmWd0B^MS%&KC_yopij^2AxGBce@
zzCUAJuQtP;#`Moy#4m~v`NL<ow};OIwRz$ieA{cO!=VvT9_Zb;b+uM#-Zh$*!zl9v
z63Go^Y!n8Z^2E$o*3H`dcGXoXRdgXS%rSEyT=tfqaU;cky7OXEc(0*g5_Dg!h>`9f
zi3j?K0D7piufmTrdz58+ZC<^(dM2lQVi(`FvDRF;;djYpB5~kvM_F`exKewo+PoSg
z1|-)>K*4jv8>vDVoD>%LD(GddD(>LDj;VmfmXAMg3V}JQK9=+=YD@lHd{~@RCj3h!
z2-g6{gMeAxV9d~LQ{uN?iQ;*)uANgk*kCn733vkEN*YXNf~3tpHSw%RKTG<pB<g*i
zv&zCN!(djaZP5CDn(gV)yJ?Z$s-G{?O%wh7xF{Ec&|813xL=c+qwn?zFu2Z1^h1?u
zMrS~JX%7M<=f6nCPgYE29xX@Ra5nZzi@4EOLN0Fm&BeD%@XuhJEvcENkanH9TYbL}
zCqcNjHv(3=x+k4N1yzTA0ka^C9Gri%92JyUy|CZ?`@;Ff2I#iwb2WdY;$JuUv%V!(
z<)+q}6%rQz<9j-qLxOWq7wGa>;_E#Q{13h1vsMj`NE781y_niqy6T0y5N_xoy=na^
z9#lHq+XDgnA$}N|#PS4BAOL#csII~hGQOcLk-aAh3ACUyGz8)}uTt5vhbjke)ohz7
zpzZI_9_Z{B$C3cQco`%irzF3$QdZTcI!>xBi93~%-4z(O%|zvF7NzPHiKW>pHT-@1
z9A$-NkLow-y)Gah1I&smLx!=DSMTnLcgKHz33NWNT&cZ#`Ru5tiOG=f+4y$SK58G;
zz95r++kMw2C)iwZTNMRBEbnWGh9rAwkYqrr7zi$yaG{jTj7_2#PXXK4jydO4nidj@
zBZ8rIM0sV;=3TY2U9P{1?^U~<RraHT&d4!9PtLpLDl5)|sEjP)Tqo7XxYNj`J1m2Z
zBwOCBh3?jq(QC3K6$TDJU8OTGpu4l^=XrzQf=?>=hkhzk)6};X*}jLgW7Xf0r681^
zdyAS<LYI+V^ZEUP7VA0;cJ|N8W1Zj#LRNdK%L$S1gcyW^grQ(h6`c53A!gy2v${D0
z#Pi>ZgCzcFlq<BMZ&NNzQNi5zx3IHB3o5Z9b#4r`CO&LWTE1d9*{c<lMY4QP^Lukw
z(FJyx&xd%2Bu|j`kwV?&ChA#LuBv)ucm(IliFFC*j8-muqyC7$3a}I{-_9Q{h^}sZ
zpj#`%ijZV%@O7p?Q+}Jgp})G7E;-8l{TZl>0%5|-qr0>(!Mz0V+T8&a4_H>ihBMDY
ze}KVQ406XGm2P8uekeUADTsQnKqfOgof?9j5S8pM&aEEtd=d|%;8Sm+E-9$1))tbY
z1gcJ3QpR_<l{9cSIv1bc(_3gMp89r`OKNOfvyT2mgH#Dq3{kxcC5FB0wOFuyyRF19
z2>hQWMeo{90*PSvV1k>-4=F5$dNfD}GSh7`aDzQIt4fkm1h{2za8%mid+fehY!!Km
zfe~H+iDAm^`~3o;OG8!Qj$YIJRNxD3J?cb?94qwj#zr|JuGwi?wMHDLg20Ys;vt)x
zW!(3foOCXu@N`ivp*CK$zq9-S8d#Nki0`?mP)0@?)~h+X+iOfrGu*I_NcOmzI_8f6
z$BgXprFA~QO06-vhHJK6iEEaSuT1~xQo{;90l)*mLPhbeg!u1l&~e?IX*d7zotV{7
z!gOoh-@n|`eWsHCzO@)T1F)%~S1$KScJ#G617h?JY_@5t!fLOWYjC*!B&z`6a+wx}
zaIEbtuKX)W!@*fyYkzLzs`-%1sgO2Gj<MqFI8K^M)nFQ*-8`4EU^xi;B>UN`c?(@(
zjKD4q4PaA6Qj}KDw95P;b@5%+nl0Qe0p7weNt4L2&SQ<#&sq-ry((4K#zA9go~UM)
zP8?wee_NTHiTp&(M-4W<dRe^R2V5ULq%5)mG};E^EFaRXnBENxeblsEjFT|DJJ3wQ
z-z70}$+Wa{D!>;a)^Fk_i|f|%8)6~}wBbU>9%l<QEKB7?HS3W7-BENUe@@zq-#Tk(
z@*`|8l>>FwD{+WCOdm*y5K(~4Mb?{aZ3Qd>P37|q+oDIzRd=#Y$VUM^M;}vMbw6At
zzWke}i5=QD@tGoJOW5A07>I%WKq~=xFOUqj_X#{`yTVA%U0)5pO*g(5j~-If@N-5g
zzJQ1(sGU8pUk0W(jwa}x4%;CSo992Jp;!l_GZ4r}XeRwy0%cM7;|i=*7FUUD8d^2?
zC!whBc0lm@DdhXul;(?tLMh3UvPSR5v)f3;a4qY{6WK)F+cM<+8@BDeG~e_bnd7YZ
zGr72wZL96mj2T~I0RpGaKK!aEe3T?52!Gjg0lsq*_lco{G)ZOjie6D3Ie5#WS?S%)
zFr3tN^g-h;ff$g{JsDd?OGsytQg4iD!nW_Wt;XUtop+H29fZ{%Y(EY6`?B#BB2N3t
zQpcLd0IB#5`c7-8<Z01zSb#~CTi!z0%K1c6{ED5mk=q&r8gP8nW&Af(U*5p>4#Y>9
zT<|ZLw5~iVLpZ;V8D#IgZaRnHK?M}-ZRtakOW|B4@Q-#)f8L7XB+uo~!lxgh=VF_u
zj9=^q;g5!y@qe>r#3r_<jJ(yPJ(rMd95^o=Y10vhRU*DG4C4owYAs(}=p9|W@RFIO
zTr3a~fP&Cl1k>Nrt(Bma_XQ!gddXF;3jkdLs@=;T+f-+3S;~iZ!CUa5;l4FEYesn1
zLvJErAD1`)6k2zvB;!bcg^ofb?U?b{b?nXZQTmh?cf%<DFGQtZS%nYfI9tW?*QYig
zJBf^ei|kz;08k%%KRBQN2_iGLAa;2Z39Pa>YS4K;8M{Z%&#f{NtJ3a@8j~sU=Y+dz
zo&p0jfb?D63{$y5f0&*%TowuyH{$=sTu*&BobKji|KDm<bQQ*H<J%9%*JFoG-Y?XN
z+pxvdb{8c9dLutu^%1Bf1+<faK5nCxh9g-mJ-c<$_AZq10?BLYV=&3&4F(AyX>EW*
z+Dq38m^d(yW;03@w=bfyy8L8!##1U7ruY_H<%G5sOQp)ol)ID|vwW!S5*nrjYlaKv
zv9lYgxn5>A*s}J8isQKt+_Ed|K9AcYj#X4F|4kPiO8$jr&28DEwU;EV=>r||rfK-+
zKgmM4+OYM__e<_8wSvgOFFW|OOoD)ZD`uoabO(+QIV?ap*K#O$lLYe>Ob6mSPkoWc
z0*B`++2)-m@1I@3d_jDkq2dJOGgZl)vvrRNVRfwEa91=V>Q;E_YZ`ovYUY=VHVP5h
z;3oG*ISdPON8*bo`Z6-0k6JuPOedYAkezak%^t7;Q@X4NT+Iuxc^dSGnuw%OMo#;c
z_ZN=i1!`9YsVu2*zKJR#1;E>ZueUA|8>ZyeUv%DT@G*_>X(I839kGh_EujpKiyurl
z2g*wTng~vWyU<q}oCR_6$;Ko({!-SZ@~qL?PYDifMr>*;fOMKRf07krw7ROY`j~@z
z?P5S;>%=JSJ=yWc1O^qh`EM<`Zxi{T`~hoUqfYqg6b%5$HpcDbEtl2j-FdG20uWR6
zFz&e!OV68=kz^~{;>qhmht;8Sf~Yd;DdIgeU2$9%<gU%gv7Xz0txeTFC=Z@}>O|mQ
zUZk00N&Lu*zZB^gW7Fr1li0!e2J&C6|4^<<5yk#5l?1*0$O(@%J$M^_yz_h4UzuW8
z?t@J_)33Adacs^Otu1u;)pP*LTS)c`WfqRLbDs<o{X7LmCEyBIB$GVXH8Siv`6IR2
zjz_@7^<k6ldl(cry$y0ki}Q@%LGS*?znGWg)F7|zDx#OndDbubw8!mFubx1$D4Eu;
z=r95*wLcYQ)DgZ7<P%LVA$PwYl;$sF3;di8EM1+JICy3A_kg#7tAE2NB1}PhZBc*M
z@eqaJprT9&0(%1G7p@i_DB!6*#R4z22^654(vx46%t%Vw>Wa=$Mcyi-T~19kE?O5_
z@3Ov6a7W_swN#2R!M2&78Ci?a{B}IctO&OV3RE9izTbY$c@x-RQotGqia8voR<Hb?
z4*pVAb?6$J7zn$PTTKA4c}<|$MC#Wr!cF$A<u(}*2Eme|W75-s1-xQM{L1ZaG1mO9
zyjzX!dtKe|yFlz2uZL3~u=Vt>@L(0nO%JqVe$aDVU2zx6Y*tmC7_KBkgJ617iS+QQ
zxB&zQROGJ7RDsA%*-lqJuUHi;p__YA?f!R=zNRn&{19r~u&<(IkL@d@XwLE_ZAVYF
zR)qus?#UNin%)c+Q8xklNoE+zL)Vk3_JJ3>zazg0dQ&7K#TX}@%=TLg|8In|Zy+Bl
zl{~s^V!CCfah7wlyYyv!bDX}TS*!#A7=EA_yLsoq?EvmjeWd`x{-UC(maNO_8C<yE
zc4%!>$3BQ=su6t(z7-4BOSKA#me67GGP1XW?Bx=KJ&di*abVZqb7V$u(MXxFC$q9X
zL;WoZDi@<7<!d<6fh7vV$ttnoV_!Y$W9DQJgM!PZ0)BcV8%L4BtaeL4@0Eu?l$MtD
zJqASu<XtXcNJ7)5Rh-@5Wt|4>&VLAxtQe+^q*-6_u>}kBWArk<UOn+nHAb4J%TorA
zFWqMa`Z`#8YTr#WQ>XyGI>{31#0$NLROD-b)~jQ|Ng2PEhTf^x*?-cF$gbOnjHCat
zT-;@i(0VboE{@H%i7p#p0^Wb88%;Si3I(`{;*m+3dL=UuU=8P+;bZVwRxo<dx<Q$_
zDnjQ24N_`^-{~%`U%6Q4V_2hLbH`*FG5ty05MazX`7*hA_bxxung~@A#=KVe5a8U7
zll<5z(>Bed^$f;U4nWLza`;n?ClBQ*&6At!n0jk((SzeC%SU%w#3J7J>jN{&tl@Dl
zm0!JS#=5IQu<zOJ4t~1QRxfa+UoFo8-TgU9SLLMpa2II9Yy1RQA$NnXA<W>3HGRV=
z`8v8u^|cLlgj370)K+%J#JX%q(8G(nc+f%UM|m6`XnWA>b9AZW6HYBoyo6`=H$_>4
z=lguS_;oAm8;WTrgF3(Ra-NaBdrGGU&1L>~;C`J6cV#S@Ry979P@6`{^*vq_0f{9V
zOQMp;QT}_{UKy)Eut?;3#pUxo-3NM(Rk#5qPkT}*_Tq60XBqur8ZrqyP|j{Sb2Qy1
z0tCi%2#yd%ANNYxRu^$p7XLGAx6poq4+2G98*@n*DWXBz@t0xLnevGRtzHi=>tZD5
zD^hP;zkyucQ20iq1BwVZ3^}<j$(j+&a72&n$9tm(SBs7F4L(PDP#xm$y72Vd{p<yh
zcZYx@lAifo01x_T4RC%`LT!d5Sp!NAbD%XB@6*+#!Zr0ArO)Lz(Dofsz^aGLQp;gm
zkyaWCa-xF$)?wJ2?<~FO`Mh#oHGg5~x?jUY%V0#cp*Yh&sjq-e*Kptyj3GN57)gw5
z`j8LWSqFTR;O*H!(Boc(yi+pC9B{DhIMt}{#e*uh!zs<5O){+NPV9YiEF&?<7+v0#
z+sxy3UEaOV`3$Av3-Pj69ZGXw^<VHIf+Y?XF|2b1Taa#8FQUHB&>*sd3hy>(1R`Mg
zH(5|-ZdYZ%qQO!{4r26cDn6nlHYc=TbNbAhH#=wSuFQ3?zKSHRWq#rhBDT-t2g0nr
zhE5-W`>-Jo^p~ioF3hUdDw&a1ebTb!&5Pg0jEz}luI|O%@vLp*qGUkU4S2lFprMe}
z#rSf>B8%ec`-denk+PFL&*f}p*1BH@zJ@^w<d|9q)Pan!pv91|LSUG9<PA-6V6%M{
zJD4wX1cyN@K#V{qgrf6P1lR3trmU#EkTs8{rz?5~c?x|<6EAwR0-(JZG~kpk^;exz
z`NfY>EVL8<B>B#FAPjp2gDSR#<~&wVtXGXy3@3!R(w*t-lNhWD#lLQtd#YV>gUe%A
z`?FnWrwF+=k)gf&hB+s4Fzi#YF8ObLrkISTHT|qjwB-3S9R^*#m-?`8;V*ZvkwDZt
zca1qnUeg$y(z-){AaRBR?BoGN)Du#@Ai;cLM}^)<wbw!;aCeXd<L22)!vE~cn&MOh
z@s))Pl&V#o&t0Qzq!5X#K>ft8@rTwt9US)|EdpkjVtkYr6Kq|zho@lr4ZH_x9>n#-
zw?2Q6;RDX#298U%%VVN;f4U{?={5U{%pBEY2UR25ew#-9Mr2#Xy!wmAnI(I-?*iB!
zs8j#q>X~kEV>vDX&Fgy>_WFs!aAP&lP<j{w3q4u?_l58T3r+ItaZ=~4^m`X4=Vpj)
zi=c|5(|f#K_xHl^aF9UY&^rK=_tke7nSds)C(y)4@&q;iM)&_DL_TZl9<guV0NFdv
zbe15>XE13fC~}w`sfK~esTR<uc=$=4jVsibBTP}v7$`ns|4Q?W)ytwo6hABBDajU5
z3OqFD3E={`0tc>};9|VLf}6l`w@Qrl39zI9EHpbaae}DrSa;yXMv*g*56m*_n9uIB
z3pDV%m(0uvmH#oK?kfQ~?*n>#Cw`ImlE}WzE&_jki^48zquRc@U1~%haSR_`VbEGq
z%d3>^LEa=H76f19uS@oUSEnmp>>pa%$2o^j{<N%ka@zwxg%9?-(kS9r`U{(AIvSz7
z-jiV&RLn#|)vMA|9zfbt7Z!^S)gB}u>>+89BH-AzA||oKr!h+7?$2M;;iL#TnK7B~
z?AIar;v3)cEb1t9XlS6!0S|r_ZjB|L_N1z@U_pen3X9KRotu;CHv%3<(9p<yS4s^S
znsj$rw;zJmu3~ZS2d!nfmkemNAL_vp6AyG)fru|nTW{x*Lra=*1wQnB0dr`e4Q<`4
z*g<SOXs<9SQqiie%dz`!^$c)l37$EYYq;&NctiQ6K|4-3&dbVXQkJ+cxO9YdyEG&;
z(NOKOd^(@U*0Dg&cf>JcNQAKGmI>NkMgqhAgg^k7{Jl>$?el0txdF$9{=Zo?2Wy~h
zy(QE=Cx~LQa2B##(>qOq79aF8^&Hj9x-ummV^;8?ZV(I#^mv&-gWU1-i70P(by?Aj
z*odMGm8kpf7U++M&c!M|S$#iy`as{P{6#H_uzn{xg8s*u(P{!MFYekaBgZR@1|S6B
zcbey9l2qOj-W1KpbE2WCN;Lkc<Mb1uw>>?31W4j`P=+z;fhRu^9N5DBPv~O=8@xjY
z#41%Af!O<=qxy(V4;pw>7s=pSk$!Ia6+5o4TGi|$&!5C*;m7tBvxDt?<=6*xoS#5N
z3SygYS@P|N3Bq#zYuQaT5L*l<f)&mhv<5^opLWe^WQGk&0XL~sIp0|h{(FBncxzs+
zoGlEl&YJsvFQc%j?8et|b(F?5&SKevuG*+N&Sf>h;+FPmf>yUW0&wDt3FdTHpKq67
z>ZLP3Z=YkJF+i*XOEzFTL7RnG=w%b|>DY6O9i*>r%X@b>y7&?B^85_UVeE8_E#27W
zdx{oB<_e1>*B@f%C2;n$!^?UJpdg0tRcRmtg?85mg3JqciDcLXJzmIrUDv_eImtpS
zl%&5TOkq$^-OI6)^~|7Y+llShW_fIXqJC>NBg&Sw#6gQ|m_#m&TL7szGi`ij-Xo?s
z$&Q*kq_?b{oqWy^dCT-Yp#a^6P%PcO%H}v$%Ly{E{*7Gj1;*TenwU_CrOn+yE<*W<
z78*1^14d2+sQcO|6UpU-H<Y>g1fs_2Cs)v=SCeX-HwlWM0@3KO@c0N|I4l(mMSf6D
z_twe8KkD4(0&JPwdvY<{H-Vhm?@Ca8V)?~7O#>%IRsxNF@hr41OlLKL?#>Q5Gv%V>
zhgM*zE13|L(dV(&?bk3sp0S%O{__P^s<GRYl=E%*ms7ZF6f34%<qZ!2>bb!*=C{b#
zz-ZW8BDP@S)WISXz`iCc`*kt_ni9zaw5j>h$R{kRZ^qqAlP3%n*@3_AC$vI5Gs_%~
z)PYT8hAT<Za5GQ>C0W*Y_+T1bU942*e|@_3zFy(@%-D1nKZS}aQZ{IQQkT(o6<zm2
zr!wz6lkpTTlN8^OoyAI+R0uQ#p3bFmW42B?+^SULe>HOjZv(@jJdcl&at{o~AK^f#
zVbp!7E+{4D5aZ>#%=M8$Njhp%!_VNDg%E&%`94_{id+|3v2YB_qB}^xuflUqS}X=(
zx<isdgBfzH<(;ct9}yISZ>!51_!iupJp?@`3>W0~2Ug_o@WG2hC|8^~7K#tSPY(=z
zp%#Bde#&qT*>}-{1pv{hixh1VM#6QSaDUiI_Sm*#1F)2Mm14TGf<lEUw$EBTSEf`B
zXH&pg2SsR|eacwHYJU=NF)I3DPiBcPT)W5s$<KaECk`(IBB9fcj5AIy5Qrp$*J=W5
z^x7IwExyD385zS$m;h2OoGYCKklOa;V=P?4`!A|za<EQ#ap92!3Q~pZ9u1B^D1bvu
zN9S6(`^C{nz@7CX_GtS8dfSJBghol;H3z`lyiey9bNRZ*FQ8KxI$y|)sN`U!Q=!~=
zxEv77(%eJ>fdsz&IYpJr%0-x6)G8gp9rH#b&29ams$e+lpNzUpu^)tFwp!zq91aP`
zWnbj9T)xkK3TKVB{|vl<+QkJ)aSVLb`!^CbR}<_^)=5-BzcE{A2EPBQ&>1#Xw~iCw
zm2ljJVmaq2LUdr%kvwGx)Aw~59v4#7xI(69oB2krud}W{Y`HOLQudX6PS)4v09wgr
zs%Rh)`95^SMhUG%8N)sdgC1_zf1Ah<>#5T$7lX&$5bY%;#3%fUn+cM=8G69D4L~a=
zfSN8?I?-Lx%W5>>-_LAWGe%nP`IAkoR})$^sd3lv7jQltOel8<>A&e>j~6o!8-&Al
ziNXmf1_%-T8?oPyBvZy7-o70e93G8rd`?bSBU9PfpGdf9Njh#i@OAoIP^XR@{_PG7
z$_BUKWz$nhNfV~836!{01RzJj<z6_(ZgT5QT{J7<ty0cFNV^?mfGgam;e-N)*&!cC
zfDre!O)AZF{NOF+u7`01pc6_DO5pRvGQcjA4Bxlr3$QHpGy|eTL3uC1g-|WJ<qh~G
zDkhKKTCJg$wnWxw4?Nx*nLw5dhsY*VgecrSOe}r#AoZ+zDhyorGl$;{vcuzWgSJ}8
z`-_aN={J{ZT4-Ir$&wwNckdU;J`9hhOe|M;$e9;rY~sg92{}-fQQO7le*iGBnM+Wb
zdIy6#j9tJBO!p$`K>j8ngaod}K!>1_hQ8Oeq3lHfT<SgAp{*9cUQD`*b0fb2^bo;s
zC+O8yh{;5BUVp!VvZDaPBtHEcU(cz7P>Qbc-_HoyRP0~IgsMP+nsgWYAF;@cPpb2x
zmTlC}p-JGbFPf(ONr*~*VpkWI$_<L0N%;6sAl^F7fDhemzC$QCs($en3$ofRvT$HW
zC;6pBY+Td_j`NP)1c;42!6XE5h1877ea1o?97!;OXGXo>O1M?DsFU#UpzIH4!Wg<-
z`ES^=&5FMEX}DPK=YfEV6_FKo7kSdBpbV8NBCCmqNX7S40Y10dv+N(iDI>G9$kiSJ
zyyM5E$YZI}y|1o(H=HR#OJ+2yr&r(p{b}NUT|Uw=>s_U@&zE9+qfe__XFq;9!mPW_
zg@W^L3{eC&l1j^i3`TCy;(m-JvT?4O_lG}d`%+`Q#aIf=5m*b!z@7bEjYlX3H=MPw
zs7s|v8LV@8!J%eS(|SK3Zw!UGyn|+}3q8yb3vJ&*1U2AWNHybyTvd@guj#&0d5LLt
znI%iK>sV;!c(HG4WqLGGgl#%uS?y!Nuf8>xA;GJTO~1!UcksJpWt+);R0GV0I5+A>
zXfW>+{IlKRwqHRqnVzr$WglX73*BVvQ(;=%#SW*00@E{E%;y8At46mV$`G(^wAB*K
zJNRChizvOIg;TD5b~meXGGzid@Tb@u;psGqRNV|-JolRit^K-U01dv^i$9A1SYSxq
zE6rAll^ZHRe7UocPRO>4%6jSl(~l!MruZ2r-FO!L6SBD~u%uO!_D?e~^tQc!4u2Yv
z=&+$f+qXwzJIX8ucj1)sl3M7wH5#PELDtL8i`lWlt)#v_xQH6AC4r+5YA!xsb+Ka?
z8)(P~{Eie$E8jfCmrP*-Gc1P}eB+_Y)9`dPQ((#4wZX>8Oc;)WTx|e+@|Ga{Ceq5`
z#I?c#9W5857Tfp&EF$0mfu--1Cu{cUVdkYl3{fN)(XM=x<Pn=U&qctIb*UlZfw2i)
z1y(&e3|-K@HU&x*)Bq|al7oscJen4$+g2^vsIQkblY;9e4c@djuXDN2<C3Y&7O+h2
z0?qOO=~126C-{BO<UF$o%V;*C$Ov%&6`GTEan%5*)$~T0JKQ5S5D3P-rT1|=*)Z70
z2swpKY3tQ6Jy9|;+^=ruf7k$O#-*?E;FP)1?{-hXHu+}B_Ex}4EbdW@Oc+?(qLy*_
zMGGY}Q?)7SdP-<IEFfqyXUZiNY8ud(Zo^3TMTg6w*VDe5P=Yy~{`XVLJ|ns1GF+hy
z%kbLeEgYn+HT|BwI%OnF(~KQ3lA>mJFK=KC7JR5vFwJO+nGtuvxs^kD5GKb^M=QSo
zqm*t1RA0({#t%4<r4C=VsgyArUNq{B1P@$|O97M+c%bE9GFb^_V^i;`nn(bC;rL!=
zcQ>$<!1^;><$_cMXG5Q0x1Gijy_P~hJ9sS73-A_&c1IXntbR4+Aa$H+3mKqCsQvp~
zK;(=6LkWf)EBmc~{{{oeKN~Ee+u7s9*YUujy^I<W*TWFY8oi1dTl9@ksfzh*TjrUi
z2=&L6Ic*;6_UpVbJNx0+Ns^V7<$iJau~$*%C)HTz#nf9FJeI$xsI{0oxuMSDBp(+&
zNiKhBUW=OgE%`ip;OSO-3|!%gN)SxrA}<VKj+8-P!D!T-Y1XvicRY6`02uU%GKv?h
z(R5w$zxDZ1O;#z!0;!mHJ5r+g13oudzFm6Qp!k9=DG=$uiG!4O<bOn26lzHCCLsj@
zlIK>Q^p3duBo=4bm)$IvSV4zQ77-<!4P>VmE7!qi{T7!Bb8~Z{5^ZZ_sGn(_Og}oW
zgAu)q%Mc0}>fsl~%E$eQ^0VJcpNfRj_rU=&G8@S9ihmc3<RY}XM10m)MTNAZB&COO
zg$h<%LQi!}D!^-J14bTqEuz#R+vbsgx1rNK6c>ky5ZnwcF)w@fC-<1hDzG1aei@Ul
z_A<b(^YXhu)UEa%1^4eMhCMSgv@kH9zk{w~ZroYzygt1qS42WzbY2d3MwXXz1D5Cp
z;|k&Fq8G(KjO?I4lX)+vqVK5aiT@(4uOz-++Ev)d_zA>YRzsd|W1G%7bPreGenA7L
z#D#Ovf3O5s3XsWAr<8{PV*b>(2cq8scDk%(CTnu3rFUEH$$;QVI316}NTsc4D9BEO
zOPw6O<0?9qx0>+RAI+fk8{>z*YdJ?jcSs%p8#}KNG1QP@2ek}3Mzaft0tWfG<ZCh&
z#Sjguvl+?wm|BzpNOLZvQhATp5hg^`E1aDz<laYlP~(CIQOVAEkJ2MPs8p3>-fm)=
z`mMj+zYwIi5Xmtte_+si1-SlT4ZDNvu&@K!gO+X@B&Q>rs@mO{+^0YOWz3Fx<xZYT
z>8Y+eJ&wV=CGUsMVZIJ*cL+g1rAn>`YxKeSh9UifKgIMqlDKlJrQ*>fF^rajcpx7*
zSQLOfu#orodcKo?Rq8SL9W}0)j(QB$vP4IDkHCNP6BP&~0nf7RbVl?zL|gmw+o$zk
z!;D*pm(%Fsb{~{vU$GM2Kg<4l{FpLnP*Qp&s9X=2bpXS8^?oZ(3EGt~)|a2bw|lXr
zOe7vW_@IqWS0@XK_swJ;3=}NDJv5A_E3h-w;HtuMZ>-Qg7tLX}s?=(?xB;R{g9<@e
zS%E9F5*;ky_p-F4btEk-`~A8Q@<sordq4$|u?)#8K!jtoG=I^5PJBTRr$pD+J{)6&
ztMP373^M#lU)I?2hWmTLypY7ns}!b#1rd>TcJ}B^Vg9jG!F2AdM$(KR@_?C9SBGj*
zRBoY7=!W!%5A>_qS@f6fL_HJ%138<*4v<>?Pf;f$J!(QyEjVn^>4Z#(pwreBvO`~!
z^WSd%!zQacUyI<fT)yJszTGM)1-Wh>P05cfBu=WF5QzPU5qPn=OV>B!CI~m2a?d`q
zIsb{p3SM<L3{H8Yt4VqV@Pz>NExV((w=HW+^@%YBsP=mVc0|FyJ)q)c6q_s03artn
z7eUe0wJdqJDONr0@T*uZ1UPN7fPwGP(m9!}WII!tMfd5#39)1rf^o@V!Iv8>Q337M
zmw(dQ4{Qo>kSQwt`d<N`2n)ibZWnGzN4c9HMP}oh`5@5Zm)hrI9nmi8KFXLs=Ujwr
z_v40-%|5?fTd$sn(=rb8r5sy(9N-G^417O_;&TFbyL#(@Pq&04j<|hI%mxF;gI~~b
z{fd)XV|)k@{z?uEIV@IeL|}k+3Zm8}$+<D_Z4@+s(7@2}A_)3*fvO#<sNVn6>s^CO
zxi^6{^q*Ca3pdrVjL47;*<rc_hBXjKt^8{n!f>tPHx1IztlO=|!*f1P{Ol?<U~6Xn
z+gvmt+{cl$6FukhaS1r7TKxT)b`k7%)P4$NG!H+n$V^##7WK3kABQPsej*BI1ve_(
zSv)##+<Z(VvX@*55<E*029ah}=ypnH{-oOlxNy=OwV~i2L(ScJZsAHi;N1#F5rj|*
zXOOmCUmf`+o67$D#E#n43}J|8ktP4Q9I#J_9LJZSYc*Y^YBjd|pO-CGr6UB#<Ir4q
z8ibdx3vYs=Ota3u^O-arzF1!u`wf+1C2-934iq3jP$bk%sy}wInWWi6AcF#=W_xk<
z$*H%w0mQ-QX(1WyTT4g55*J6q{H>(HdvAk@mydH#yMSbfBVt$8g1Et$49L8UK_FeN
z%fI=RN)oB2>Te>qdb$KjcTO<D7}#6V*lt!ob1Z!mCJXRZwSFyvJ?w0RR@q&w*6l87
z#!=cZC=h2VAHi>1|0a#v2GHSqW~8u0t#H=Icr}RZLLDcoaQeNa_Qpp1yvxly(jfx`
zP%Oyu`KVt{7!JYeBbGmum%Dj?xu4ZPL2QZS5y>8l$l}bJ`7LS1o4nvwod-EXV-vg1
z-Z)OozDt>g51=5c&I#f1xNzLU<PDH+)`I<A+jk3(8g=fy7iGIT*6Bh1E0;UItCW_R
zT7|Oj(<k?_rN8vXcPNvFwQ!Jriyj29KRZQX*FV6<_p<e<L+T}aEV*bx&6BXfs>cKn
zwHx-t;Lw4C3!lOZ-i*Q#@LzcM6{wUyTHuKypER`vRn4PL#~3^TEQqlgv+&Gv3CP?<
z>LpP1mEgL0xVtw>_ORcMMikI<v6T{QAO~G|QIdvV;t$fnR!SI7N7lp-`DYDvcXzSJ
z(nAh3W}mJ`q_&N*2f%DGgZ?Ng<OliagmGB9>0J~Z6#xJu2diGvhh~>xRvuX8o~td8
zP;4X^fw%T4`o|dQR7Lqo(N9m{@!~9qg9OYqi`d*DD0GIn5BHIXn!FyS86%GwAsDpg
zKXckPxPb+tT|zci0BNmUI8o<z5!APmiO8t~qK=!O5xs9m!~!w1msrqcEuUXkFntII
zCI$T)Y6&g6RR0Xm;|vhZh0{SuVZMQDSIi11X>ikB*hl~^6LJPjk&~61Ab+PONP~!r
z7M9QgsvQQjLWV=H_ul+F5L9h~4oBX>-UM<W#A6eG%O_8X`10f^tYju&45Er6q~~ei
ziZ1Z-`1t*rEj%4^w-QPPPQnsrhCOEHclUDepmvzp1=AfSz`qRNKUMDrw>tl~RJc^>
zRvLsb@^K@4kSs4N#m(1o3a7)HV+m*FVvdbfP~vpMhx(bA&AkIxZ%iLBFE@LZM)!5l
zhREaRbhz+1?whw!0DkHNCxrP*hTQM?48qyoHIQpt-GBRW?WDIJD9VLL-z0`TRs#3c
z6vqW^NA)m8%=}`$!T~iG@B!dO*7yWK>#Ff4vUKQO1wihRV(xZ3ZTr;~YhK98F5vLM
z{JVfsz7o`F<x2VT21%su{k!-;uW+d{o2_UWm?v@gS>WY9qjk^ipQsFKj9p#>=kq3O
zaS;DJsoY!xsxS;7NR~f%Qz|3pdS4W{4;)?mB$8~Nhd}=8S=mpjm2HY+2gy^7vtku7
z0W>bWj|f~rHxK=oUJlc$)S5fh=Yc%uf4UHz|Hb1XT8=ArOL!|V8kosJ!08+weIwI`
ztr%b%1=>(e8+Iai?`$yv0_Ka2&Wn>DmHt`|ZO_BFP&xGt6m&Z=>y?TfEP(Wd$ap>a
zA=ZDQ70fp&L9tK45Fkp#@AX^H5<j#pn*tGdcr+E5AE1Sg0%$5m&@Ie3fG?o|Ng5<T
z>sT8)0Yq^m<|*=VTFmaGm%omY0JXn*!v4>U{HO5)l*_y_u{!(Nln7^$f5Lb02WXIh
zqXQ^B)R6@y*BkMl-;EaP2QWHdl)gX=v-<2KgDv*YPSXT$3HYDsjE)4$_Wkv!9RUS7
zZTh<Q$G@H1XZJBJ>%$rm{!bI(ltk=%Tf)sB>H+`gjdq&^=I2fDdJvBN`y28-tEyGq
zg80F*?=i<8(5BVW#dIW+5p#|D&u1yoDe$uzeGHF`cryk}pnoBX@7)Fupkfgn{?B7T
z@R|Ntk>yOfHU`j0iowbTV;^jvdi#GL!CKSgOFz{7kANLcr(ws~MndL4e~nI}|Bdy(
zkD<J}j7qb>>nvnUD5K68ECTiBB(QT}KJ3361e|8!GDQkM&4CP~ASxY`vi|?IM@_Oh
z&dAXv064>oVSaY!zuKxM3Ci%KlHyWR)Bj8_OC~sx|1<JjOnTyt{aeDA)Ia#<I>=1?
z?^xad>-3`!PQXjJSrvFcqYEDX-$3?7_NM85Y?Zb*=A6ZZqL_vJU(;|yL&h5XyhU0A
ztyBV_36%0dTK~JO39Wj7-++?SR)_?6fbYL?1C{K5wb&H<ONu9m9n75`RamDQ->Un-
z`EToN>HnwU(W;>U7z%>f&Pk4chC_(vzsA1_cTP45lVVs<-$JL~0T??lL685l^I|&a
zK~x(upa;uc0Q&+S=7IyK6q5U|?r}m=jq{crLzhJ$p&*q4dXFf0^721}Mz~IG*?AKI
zOv6TlAOExCuxb3i9}WtRHF_W!_3tFENB%$UZrAl6ZwlEK;RX(*zkg#|BXsw_X1fXZ
zlZ_6Lc6lG7YmMnHo2z~4|1PX1`7V4Bh@R~~BTg|Qiuvn*zS0OmN$;SOWd0W+G7_}2
ziRPd4?cX2varW4daGtDS(&k{2U)nPK-!Mj6zp^=5!5lYW4$1zXCk{&XTXQKe|EK%^
z9(<UO1CPrshg}>^8wW-z%7O2g693oiu2bJGndcewS{R{%5@Cj#8{Av}@AKZ|{(r4q
zcTkf{yAL)L1kUj&NIxP)K!`{&bd@4q1q7*zV2GiHZm3qUU@(I84xt95hmIg1RRtmR
zDj>~-5(qWl2K9dab!YC(-O0{mlFjb3zo-13_etK3)ZA%0kiy^|D?09b56jC{lbsC^
z2)QD59YfUuZ-;1$NYCy6jrhZVpEhGuz@07gh4%^Yt9QQ!)7RC5{fXP-k7+Ul6m9iq
zTp{c+&VN4-rW6SN!@BpDRcAf8M?JsA1Hq5y52^NK`&<5xMfT<saQnlO_BNpY&F(4X
zQoI3U4Yd(k&rwU&p!Sy49ORI+gg}DYptU^KTLZ-U`CBx!Rz`Oh_`~A=t&Gs1;P+p7
z=nL*k;(Tgzbn;Px-?BDgKCd##SnPdK0_7}Wp|I_?w>L-4YC80NYb#R~`3dy#dM#}y
z>0ZnvX@s`B-rzg3!UuC5gH(YbPt5U$5;xlIle%Z?_-RZ04fwJVt~sAxqIWX!#YF7i
z2VNhSVY!V$G4=L(*}zV71Gasb;PNoa^81ExNXyd%6eyID``7%3!T*DCK&>A`{l=Ne
z1H>A3o%CZ{_p7agFVt>ykipe7<6ef#wq3{eZZsZ-+GoA=+_difBgSzkZ5e8VY~8+$
zQCdDc<o-$7_50^j)YS}CmMmlPa}+@S!?#N>xPCABguc4tcTSOz7Ij%NOa{}eObhf~
z=Qr}CG^4hK7|NMDk63m69TIb4$uxusE~6K%kPgS03~2F2*S3~NU+d47eIZcxSKzt9
z<ALcP4T)ztdXH)BH!CbZvZi)$`N{+HeIueA8-6tMR{8z%n=z(j>qN|=!4LTv^rsmN
zF}Q6jKxIaWnuODjoi_9c7ktr}!YK{c!s_ViT5XoPjOO8R!X44l&1N3qY2UvighWK<
zsY{caOU?YG?Qh^RfZm3%m3Q1Z18EMr`lXhWOP`a~uxZWwfkTV3M~)nkwEZ~<GNe4<
z=pG%o+{kfDYqK&6k)4|x-gxJA57N_DfBna>koJumH)ylUiXMbD$e3cg-W#X7^)Qz@
z@7FGMWv@|n7ls{igVp4y$jA);t+ji7?`(AR^gL!A5QuA9T3R{z%&e?$1$&4@TE;rd
zk&X4O&kQ~ppRX;mP{lx(1YPbt>rkw7IXUX}>*S`UrdYm2EH))GGt*?NhPLZlP21gK
zVq-If!>92EQ>B)Ky6N*l`LmzL2N+{kX3Pj&WZ7@rWGm2}?0Crf@KRcb1P9;B^0Hmo
zpbL6CO3Kz;LW!N7eXfKE4zWOF_U7NpfA{WOnbiCD?=MuP6eK5K!dlA3m!Eig$^adN
z5f}|3{pv2KC+n(b-!fzF-o0D4gY#Yg(UX&3lPzggfoOQj@;oF2;c01X9Nya6YHVRK
zU)q^kUYc6od-^A;L6uixNk}JlUPbR8xh&jr+qUDt+>)_r`x#jYloKaTfD+`y#1HVx
z)t}?H?VT#h^=xdCb-yfWI;h478^mRnI1rJPxgIWAWcW(y-1Fy5ivuOP)u4tq_WlvA
z+p@2Ri>$m5#kdFJFCeM7*bWcI21M))c5sE6cjO=8%z}dJlg$`Y44?8))8pV^hlvl*
zB%N|h^LsNA1G33v*HAuX^GHdnF4J57LctBmLqkI}OK`XJUUQu(HXAQUOH&sW6{W$1
zB_$2GFF1QR(3abvB>_9=oz3}tro)G?IXdRDpS_tBu(LUw1xnp}jlkk$@;}p%5G(Yu
z@m`~<FkyZ@ReDwb3oZyIm3;W;t96rSlzz=YhW#Ig($*3#TFAS73n?rrx?y611OCzP
zD5syOVl~+m>Ojh3pw_DHQq?NGNxe1xTOJc1j>Ic^8-Q*C#5XiDqI^%qR8-@DJ@ohY
zi=8=h&B+O0Utcc+Z$H_QsCw(trAy9}pdMRte+BL|SgH@4qVVQfE)_olyQF1iNJvO2
zOb<ddD}sl<m9P-jZf$Eb($jmXtIEk()s~>_ySg!xm{V0{=~ZcEl5;~!N(#M0A@<-c
zF3i9RS$sGe&K28#;&U1zTo<{TVC?T-UE#HuO{Mx&Z!fnw%L`6I^mvapoEz{x=53Bb
z6#!{ZoIIJiG}$bE=8V?Cg9jD-H;cQvx@6p^+t(5VAliw3%g<D{7Nj*aHN}9^PMtcH
zot@oPHX0xf7IN%A9|>h%@T$Za#AgGm5)u?Vqo808Y*I{2tSg9Ne=*qNa3F0*l2l;V
za%^g5CdZpJ0-V}dUq94~G=fh``gdw-N>ofNI~2o3@ZQ;8`Gj8Ux1S=Bpq0ZvOnd|<
zgVxU-RU=icyjosfKF-OR_4x4tAY~Q~r<tCf-rC;&HSCm{;A^Kk?z?t&h~Wy)LUTOb
z${#*@<hjr%#S3%2$o@jZqRcs>1O7(6iJ|y56&BoJBPb-qxwEx?0bm=y=;`U%1j=Qh
z!00$L4C0Z^ocqrCgX3z!Q47y3eDB@M`jUT3)fTv1Q-ru_+@hJ8+0zcV^m%D%t0sFm
zoJ%gY<6}z;>K<)8nEz;O2V5^!u49VUU+JB1Q`G-5TG}2>4S@`4+1jQqwM&0G`9|cb
z9J_?MU7w>|YHn`(-J?LQSDc;m=!3mS{fP)9(rw-w#?zVDA~$A*L?U0R_-~%Ps<M%G
z-PClZtIT;=p#fgRIXgSs3BuhNTBWwh7AP`1Cnq8<E*Hdadta~#8Q(QWc^=lqzJgR<
z`@?lI=v72xV`F&<8|QiTrKP0`pQV(5%~=s`VqWgYPoE+i?|d05ceiT#6t8Fs@Y>ke
zkX)QzImpa@=G?i@{RvS~nFIn1sCBkIS~@}HECdgB`~_OOox-L<y|_N?ooGR~&gQAM
z$P%|H9SwE$?|_q$vfaD8L=zu@!Ju_{U{*1)v9gHI|9Z}SZAo|e5b`%RO_jE7bc~a6
ztaFAL6U@qs6$A!EphP<X)jBDNK*~C|A2n{56&4!G%E~?u4UK5LgW_~3xOtqLJ7+Xt
zOCKC<;aM6P9uC_wM^8Kx5!~_bgt*Rtb5D)s<>g~k18evKsN*KhVW>La<3RR_#uqv|
zI)?7<MNCXg#qbU;r~X0>;Czy{0BQdUZ&F@R5F`Q|laQSJKHY^hQjJZsX?UtFFbNsj
z*q%NQ-ofU@pS1uM2He$|A1KwTGfqAgoU74_EKwl7l5+P=rC6t=q!=3;r?s}~c+U6g
z11BvhDJkrC#9KeJNjMGThj^O+O8_4BHRCFOIu1AD%0ox)OX?LN?SOy)^jua(Tw-lU
z>1=m~xP*lMvHn9<*Fj7zMtl*VTlhj>fuw`d+wgG2+}AAhQX_}ZYZT;%Ukw=%aJqXL
z>uTic`fhH1e$Y(^;{2dt{4>~dPhVfA#tU|N)v%~?7FJegiYL7CJ}aSrDUK~jQCwVH
z7i?^x#@{z5@OIQk*qCx>qAFCowWH(4XpMhFVq(5^H99LL<+4ldPHAtRRZd9AVf}c8
z2*>@_$j#MRCT8YttdMT8=e&vi79bN~g9}yS&tC3Fw9L4a92%<zN{>iL$m{Ad)Q>)|
z@sF?`f+Wg7U;#vEUg?FOZjYX<LURVKOCMFk9{=mFB;aAlvAPF9L0!PH!y_VuR8>{+
z7G-(y_D9CNa&Hz~e!&6lUFa{mar0(oLol1e%5+DC+thPIL&Mc!@6nR=;|xRT01m3l
zXqb$Q%n%u=1zF4}FE?|k*}!=%4x|IBG6!|p1l`)`!MF46QSDwUJg!BP@<1_~Mn-SC
zy1OYKPh$|hxn?wlgqQnA8rp4WyE~MzM{E_VfCPYPXI500gOFjzO}@;?#%Jv1RSFU-
z90=E04#d1pD2JPy+cy#^AEUCVb*#3Qfv~b+f$u000%7xOZD3$z&A@<p|DqQQ59}Q;
z{Lq*t0Ep7W?Sh!;jMp(RFwxX}y1i{#D<VboEf3($nvY(bman^0@DW)86mC?3reqIF
zBurOG;qi>jV{2d{dr6C36*+LSwmUWrpqFi$Z;b_NWI?Yjh|V@WVJO;Jo@(3PJyi7>
zaFw7oaDHchz#GcGYsUBQmxB}pL`A~VhBzN^K(W~YXJ3hEr|FZBMbc)<Bmp(K3ev!`
z3RZf00w~ObO11%OMygZ}=K=KRlY{vTK}3pMM4?cfHE-8QqtIt746Ydm4jn>vrD@|;
z+ErCFU-4vVzY!KyQi^-I-}=K@%{UmU9{*|Fl@25bHh@y-Sh5DIVLis{pO|bxEeZbu
ztsgvaAPfa@rYp1079%PkaJkZJ(NII<Nl|r8jWzIakT2XGhK)(uj96E@&lrUADw;$`
zM_(B7OHm7EjZwN^2#Co9Z$8ykhU^goQUe2QOds}3h=@pUYSOg#1t}6MuR<DNlqbQ#
zzSK;JmSOWN-V%@5E))Johgh(J)yu8o<`o`UDXFO~urUpR)2AcC!jiJH#Q>32uHwy#
zG=Uv}kb<qPRRw-ZPhQd-xV1_w>mA$PN^FAjVo&_@PikG=#q+Fn`iu>hECazOI5@;*
zWp6xq@PJD-pz7hnhsM{gC3R<9rTe<HeWxQybYEC_d_4YyxXH&m1!shW8p{<&C|E4^
zI4`fn>_8a~6w4mI;#I@}sVR$trhq+vQ|-NOVL*9brYO2^&t4A*s6ns)z<>Cl-qYJV
zH=kc?a_w4Jsq=6)pEA0*rC=Y`0*$WlTIfrzs#0qF@BuamHmD3ZgaR0NetTnuOX|+!
zmEN|Ai8}xraVYdEFd2F*>gdTarF7{+vx<w2larIV<lWK~Jm<c(`_Pd?O=`{@gWK`c
zQGPtDPZi{qcT;bRgqoU}MaRU%*cJ85*ft#v<-U+topET4);`gox<PJWlSNIa&#Y{2
zqVL+<=OiUv1b*<Q2ienCU@Pk~qBN7zLv(O<?gcJZ>@+9`qIJui0tA&jZccDb1`1IQ
z(1Yv_hcaORja0St7ulEiZMZFt*4_%-p+xfej4_1r$QyzfLC@FQZi4(M5~zM^dKw8X
zM-=War}3}`Ush8)!Ox!$KC4KC%Ykr;^TqwnAd?oU+g!hM%mKb9SAM0Nd{@T77m)N8
r)O`JSZaRiK4!(}qYd$>xk3(tusWyk>;*Fl8>2qsq7^vr6zWwk&oP;V_

diff --git a/devel/_images/univariate_univariate_volatility_forecasting_24_0.png b/devel/_images/univariate_univariate_volatility_forecasting_24_0.png
index 837c396553eb53695a140b39d59866df2a09c0da..b265205d33e72ec0461e277f9cda8f20705dae55 100644
GIT binary patch
literal 87009
zcmbrmc{o*V*fzc!X^;vjLIWamrjjwUM9G+$gpf>`hf2wud7kHa3YoS_NHWjFt|aUo
zGHk;({jRm8@A=;M_utoXJjdg(T5H|wzOVbb&hxy^JKx(%vSf#84x>;gGI=>E6%^_K
zB?`4?i}WD;X6DH=2Ke7KdudJkyVeiv9Sv<wP`3>2A6r`6Tbdi4dtzd1XKww7m-8Cu
z74~yx_V$nMgt)k@{{00`Yg<#U^Gf@M;30<|%W2u6P~?Wle|xgUvdmF?P$+pR300@~
z-=og)Olt1i+m33Zbt_iUh7VqIUG`=1J1%{^Gr5WBA?5R$gU_1YesrS<WcJ{(5yUE|
zeIz4$_HAz}&s(o&7f3IkJ9@G70A)nX)0k;1mnv7a1Pp@%Zdtd++7UDMs6H{6L=jUr
zt6quKO|lb><Y^*>@gRTh85H67?)-=vyh=(5149112@pTA^OJb%|Kl$&Sk$3z^6>Cn
z#OUKPP+k*d?B-_Kvg6~tR~{5Z9YjS2<7vE<8eGW4vr4SY9~YZyt(2VKCvE)E@2t42
zVco&xo?^Xyo#vWFd!{I7G^2Qap80<n7kg>{kzyL*j)=K+i@MXO;g1zo*V;2R-HD%F
zJZry1?<^3fE+oP+z>$wnMVXb!F=iGP>M@1sTGX)+Uu=1qj+W&?nfa|-fvl%)=GJ>k
z1&zy<_Pdmz*yBPboj>1yz|YUmEbr|{{M-4dL1dIY)8>sv@?=K?K9!Q5e5!OZP+{Il
zB`hpWAuH?9&V*}9(+!0;F6vZ0lE_gNG`!H6!rrQKxsPdp<J02Ta=o*}X9)xb9i?nI
z$o`(&6qRt<^2?1LCgSham1Ph5*<~y37ox@3?EFUChh*pdDAcg;e^>Inyi2S0mP}Us
z!X@~A6LPVQ*GktWl$YL<qfHB_Gni<toCikM$#&is^ywZKN?k@Eu5TjBQ+Ggj#dv0D
zF<ECo&2!tU!s@zCu;+%2%ljjG=`$ma`FNwkxAhyX)N-NdwYIs!`Oy4AwxW$f(WR6X
ztnM5^P-M=TOB2_)6JK=R;wAe`u9(-&2Nv~Md%D&?`8}8;wq7=wTUn`m_pXn9hlt}e
zn|_ttNabAiVag7X75C4Rb{21Yi33Avn#a`UrI?J7JT)RAGzp>$F<Z+Xb>9wfbzdKw
z-@dQam++Xu#VpCM(WuW^yYi84oAiF-jqfhE{?ru_4(V%eAc=Gk+wVs=)qZ{MHDiKJ
zQ;dUQDkGi8>T>ns*g|A|*X(GG{dizyWJlgvfsv7sEH2Nry&`|!S@-tz<cV!BQe)%o
z#?FmYIP|GudNQIs)LfT^v$wW9HYfDaibZY{7J0MV&l%i;3#+lN)f)?QW+N31d7L%h
zo-I0jf1%&&Jn632%pkU1>#;KC8eCYraJ_nSdBpzDw>?z;g)kQ>rXsj1mqs?d0y)N2
zIkAmDl0u7Ls3Wa4uIYapGOgE}j9+}YFg;r1IBlU{Bjq^i;BzG=;MjG`JSDMBEteUK
z?R&mbsn~guj-G*f4`1~9=yuoCltf^FW!GZTHnq^^l4)Db*YXbo<E5=zvdF@^uheX(
zJtrYIGc(ida2-3c6gv>F>%keS%6`hBkqXn@;pvg)vAvElx3#^Yt2^qlF&^BbWtxzd
z7Q8iHy&joP?mksV==2%WM&~bVMlcRI;3v5Blk*A*iA~MT_Jf8aOWjfE8>aC#zfu#)
ziEE*WDLtUP-gM>RaVicPSVt@l7se>E`t7;PQrfoJ(8@|r(w0=^SKBfr5xhCPFDW@`
zdqc*3t(E%I>9pC|N61f8;dc`=FNx0Y*Y(^iC;T?;=y~@pIdT2#B-eV01$+{wzr*9n
z^Ta>im$2z!iMcwQStHi<w<eRe%|~75bP3-`#F*u=v$I{ult$@qImma%n4(kN7?j<9
z9Ga-F-<+|=QY5Xus;+Te>di{befm@a?i;OM{lPW8JYwDFJeg2r#&-|BB`ZddaEICH
zs<0Zt|DaCFxsj6G%DJBFv5C7Lx#R{hHcr47&2>&^iQR3vuOPNQr0nqiz$C7+zD}QE
z^_^_%KwM&CHw48E;+Fb+S4mx2xriP@*kidY37Z+`QP|=3>xj!2V|q4uA$)I^#giv8
zf?prk5$C2iE$9(pb<Vk?#(rhgahg^6npVZk)FrVhnWWW^vXs73OCPAwPVyaxi1VJ$
zRrM^ZF3sE-eMk9n^&hfR#jKER0|K;g8D{OJy~U-)YMz9wj$U$4rwGx75b~)+*V*o{
zqz%f=E{4q#0)Y@^?<qLCWamC>M;*Q|&#vA1x!!UqHI5du8e3gmy_CV_UM|cq&Zam2
zux?|5s~<LpiS*vaf!be1_~7kTrE5WVMLSNXd2X+);MOtQL9=g-E9tja$6;fo!NVl0
zREkP3@GR9}M3R*~7K~kfUSudxcE^^f6?HI0>7*}qY`=j7)4JrRQF|}+jm1C#VQZy6
zO;!YJhKz_MMo}SDZ+*DTVR@)Xr+cvqS9sl_OIp7tlEX(nbnBP(Si0w`k07oZSJ>w;
zu&Jr+N#JFa7ZIr=^jD&@LP9vyDm}kF#bC*-uWCb_oN-?WONwAjcyiAqd3DJ-uJo+1
z)9ol7+Zgy#CV4LR=~jH~K&@hw9)W7FG;w-`#L-jc9hx$U*5LuNZ`@g`ey@MEf11i8
zLmu=XysZYR$gPYYCuYvdb6isuo(RvH=CEF?um1LoYpVNZed<lFO+QBS^<_Gt`Hx}t
zzha6y+Y@BpxOsXmn|5&c_=binI86TxQ|?-+-=?d>s(GsQeVr(7sKCw#iz(GO&V}Nt
z)f%3Rq;%;7N199r@apBxd2U~?#`kM4tu`|Zbi3=?G<vo!3U4-uZQRuzB;;z;sYmH9
zt8Grnim{XUiLJh0VUjmZ+N`#XW|6;mQF|%MbIo>hz|-BMt7GyDufE<f3MN*XKrFt<
zGi+?**TD2=wt9_Yl*T2Rx^ROm9bS&kbK_9;L}Xm#lFRlC2Ay%1S)u!c?AaXSVE1QF
z=EgD<nF~~NExLANk^Dt!mPpze=fonZFI_?3!!2Fcj1vWQlUd}gPG3gPLI4%@AJJbm
z8ny4?vY$+-@2*=JORJef-`(ECMB!X9>p^2HX!2=D1O46Z{4@e0e0)09`5sqiIy;Mn
zJ9>WplxjF`dCjje6^$=wT^eW5FA&@KPX74;?-i<vOk?9T4$OeA<L13k`^C2U&VtG@
z6-Q^rlU>irx6p0`!TKuwP?$HdlG$oyryHBj1!nd&%_6g!*Mid4=e9Aqi*xncp7_2Z
zz5MI5g9X06HdT)tSUjdW&y$gpb7AMVr-HZM&en2&i;sypf16l<44z-EMlT1L{B%M8
zxFdUAw)*Fr^NQgDhRJ4Hkxzosg<L+_u|#0Iku;H&w52HD{rh)*yVy1_VY!lPpniLO
z9Y158q{A;}z^ki^Pf@x0^X;8)lzQs4PUQ_%lW0lED`dk}i=-msXF61%Mqdbd^}y8B
zVQoUc2&X5K6cb}E-`z;<nUjIb>M1L=(%#(MbciB5##!*4@a>zysB_SGc2SXjSy|b{
zB4jT8>ACH#z|izdBGXbcgErnOIpK`cFKG)0tUc_Yw0=lss4o>NS(s;PS=p4vARrlq
z(sY#`7)b1T<M-$^bLQ|VW`#KJ+u_fO3+d>r1Y#j+Z;p$hCF@rk1BdIk4L6r7>$@1X
z=Z)1TN*cU+7i+6qyQhb$7ip>{6Kj^rl17s+iLEiZ|29s_kCmNozwW8~=v{X%_t826
z7N?#25r@S_&aDgCPrW{PFn1(RSuubMTQd1bFy&&<)l#f*$08rUL-ytLTFBNpw^^om
zlh(LIz8`8<)7>ttnbqkw-iHj>t9{%By&Pns`q;hkLItb=rOodOQ5n}cGF+mGmI7m>
z*xD~6{L+#_sEjOmzwQ%^`?j{D-o^Fh8ORE53wQHANXb`^2aV8<HC4=HMm%XgyLeUJ
zPBMvlAzN0YdfIpss}acHc|P!wBSdfHq_di2+se#H-q;wrnwux8bsD`sTTnwjatu9;
z)@S%e1ma%p5FX0`55l=z{A4U=&Q3pcjb=H)@+5tGEy;QsvhhQwA!SdOgsne5n4Fp#
zS=e@;)U-33g@2uvzwD@cZ1d+Ov2K7b_o{;nv@7L9XWx!%s7;Cic5!H7qUNu?Wo?~w
zj7})sO;q1;=#1$`#@XgB&yD8hH=f&D)vcxv9^`(go)n(!V3McSTh;&k0HQ%wmK+<0
zseO|%c^kLT%GLM&ImzcNf7n&4jmg@Ji;02*Os=?otJs*B{(a;d6>f=>&V;2bu^dSs
zX54HgK)O)-Z||N~w<0r+5}%xRORF=Mh(2xejGKo>D`v|2?lI?CdqK>G-KOU@#;4r4
zS&7c|HwB-taH^$19_%%Jn8wQ13ah#qt2sa<+T|ul5k&H2^}^>l?7OG?ga}h&-3(iQ
zu8%$$;d1DfSMKBTm@hjpH_j96oKL?P-HaW!DC$~Wjiz58Y@UAibhCQCDG5M<QWsQ#
zx3dDx4BMBgSH^1a5R+=kP9G?!e5LHa+BD<djt33gkrh#}b{!GJjWcXJ)-6PEb;(~!
z$Oq8N64o-6;<IeNGOOz{YnN06h0`%&4(HtA`V=r-4FECy!X72pYQM&3g>}m`bar1#
z2x}eInoGEa!Ddk<(*(Rif(M~2T#*@Hmb9r#F1ku0GGp#}Z}tznJePAzt9>hn;PfqP
zmjr-yF@B9d5Rk|x@Z>gvPmrH;XIE^3udB~H=^*H(?aP<&Nq1pf{s4!|86wVpM>zG;
zx9SG$MM~`y?mHK5|CY0M8^=r!8Yd;|Z!J8S8FQ}ze8vd5{vz=MqH2Gd<Ow($vCu0|
zLCwzx<U&zBQ=yNYt??`{4!WkEwDyG>#yZ-ml00=aNR-f}j0HrgJnFW{g<y7z$@T=7
z#klRF#D(xM+Jk=Zg+ef_sY$VV3CFJ`+KH3XzsvNC#)Gcwg(9d#GuUIPt9q%s2&++F
zt&8L@fMflU9NKt*iz*%Nvx|ANa|v_88rK~~Z(ufOEAg1^O)><>w(2ckM&>S(k_B?R
zbq`>Li|%u-8dI>gG&D5*`rCNS6o1jR8mtSThaAE?646wDF7#~;efNlyzTQD%Tk?Qc
zMKk?52}RZGGcz+iB%*&#xKH2I?{utRpRs+x{PY4bToW2s0+$0#pmy6@-n{<uuAgke
z3+uN>BYFIBj&6-q8dDV`k9rau$8y$ZYm^&}?m!UwI5eFxWp^48ab2Ez!R3|$*c>2I
z)HI9_6MD+U%}r*JKbhmy5gG<hO-acS%D_TBD*Db`a*sbE)!5v*>4nz%G^>$g`nblS
zVxjLfkF>h~JPvMZdeHB%;*2t*!ttXLUIJ;xe-V_3j&46-_@h09lgVh&$G3umj113?
zv!T{aS<O*)SAaAHh}f&bawye(eYxEJI%WmmvAxmZuP09YHWaEafXBs5IM2R4!b*Es
zH2xm9qGgmcdFB>OSF%M>ox0$teVE?XLR6(&jX!6#9AJ!oSOE;z^7+3)LHKFor9V>Y
zWkac!t=-Eh;VSceaYK*0g6$VtE^!egJl01rScs%_fL>cN!OmZ>?V}_+@3uc|9I&kX
zi!Xuob16HWXuOJsk;6!OzD`Zl$&SS(WSA}=FVd$7qUQtIHXpxx`Dc3z<BD*yE1o+m
zV-~|BLvn0_FM@Nw;g8!Yqj>-}@;WEhHWoVuMjbH)t(-NAC7Q0W%$n+dFm6%%28B=E
zyOeMG-PXEyg2d}y{s79Jrr!e9f5bRICM&n$<Cv;_*Gf+ie#q~jAJDQQ(e<GYpn2_G
z<Mb<UD@NzOecMPdv#p9}X12T*lp%M&(Vu%y{s~Ow{gH};2dl&782eppB2B93Do_S>
zyTV0rBr?J5X|>j@5q`K6+OB-Pl~2~+vz=l&b@)KtV!~W6pre$^+6fM;x;bCpGix4;
zt^SSA+%Qp-XR2m}HTD;$I46e8t;fbIve9r9;(xIFnjE0b`rqowI~Q(&h=D<SrBM4p
zag|KX-oe4{<>ywe-;L^C<ZC9cLL5o}J4oWJTk5VLb2xS;%~|7T{?DgvCMgadWI7LZ
z>_J^F`75+&vW@dP2P#2eMQ(W$YK&U%F_atYRv10~0n^F>F$A0Q&G(5Y-6t`eHNUSQ
zaHG={HgCkeqdQA$AQ>CaVYYPpICIbv6W<_({y5WNWDvbsqH6p0?Q@t64hq5&a7B<=
z=`zNH#q^rb+I>;r_^U$|pQlrxwl}!KCQpM6w8(aJ_x9~Re9*7Rr7w>r(Q~m)5Qp3v
zmbk=NH|IX5o#XR2pajx$>?KH;pMU=NKJo3#fjiMG9OrM>ZY;Dqj94Lc5OCvyGcZbj
z#%XT~rOp`B#G$6Y!T?IZCr0tk`X#$7O=ij0GegjC*<0`78gomh#OIOyT?t$;ck#*0
zaE5NplL%!BmcK*w=Z)jQrugOu@L+L%<~Kc!Mql`b-ak_|Pf!gE?)bD4r?1C;icfT_
z_~pwARvIg7A9G7RhK+Bo_K0i%qKfQD1s%HIpSS1;=T&_ux6+VECLK2BJxlxj%Z&cJ
z_orw`lP~TnVVWG%@p<mXXV#js1*!Tf-v9LT-rf76>Xyf(^Amg+JmgFh*FHEGl{w%9
z+!y08x*1IOu4(A4>AFuz&h^!d;jLZ97WInz{fRgTRcr>5iu<@k^kA4y6?cg)DdqLS
z<(cbCrk=}RUq<1V*tvY02+N^SwTi$*%Nzy`wFg}85Lf%1aH+F~Yx9)__q5sjsv|G^
z9f@$|4b(?OB!M?P<?qB`ing}4%Jp^vggaR0J)4hjj+B%SIkQR8B2t>X({FNC$pPmw
z-)z*6PeDp4f9-E+E*Iait!2*;RS_|aB>7AqqyvYU(HhyhI(J0Iz&aGIYiFqFIt0Tf
zel5DmxfY7hjGP=+GBPq;_+6zQq!0kCt)C^VU_6u1%jN#%t}C2$LVP)6V|pSBA+opt
z-u7PBta$arp4*{Bxk{43#d@tmaLmbKZ4L-ak>@5Gp+(sv--muUOOrj<ILJAE3tOa@
zbxHX9+v;X_gf9|{pvOArP(=npb;g!5D=Ri!W-;5v?ZS&MTz*g}cLKdf&)R}ALhU(k
z**Ja(S(FH?5tl#j#ioGCFpRq3IEL#z>usy@Az|lciOeYDH9Q@HRB}}N+#x}DrXhMy
zv)EP)dSl|qQX0eNZIWZZ2Q2j02ZSc$1^E&r=Up*1H(=Ox9*c47{5(8`PQob&EUY8+
znfA4nzXh`Fg45ns2ZrY&g3rl9M*U{C8m9!K9uM{m9V7I6T3(I%iFS9zM-;hfRgSro
zH8sif_4O584Bik!;^np=yE~vA!telRm#*VziXwAb!?BUv9%au+VBPiV7edU|_=)?`
zAgzU3Wadokr^P^(`BzVlX51gai7AGYQl6hyD{?7#REK|nuu<Gc3gv$DED_yMM7+R0
zJ0e<iF<4l^bH#D{wqp$<qCBdZi9(io8bNEo(NY1zApHG0KBmL%PROUP&A2AoqJjD?
zT>Ym~_5|C{J)k%FOanzuK#;-IuQ=;&YV_j}7gyKTf%@5M23*~oh(^<C;tagH7}Wdo
zr}r#+T?qsn4G@%+dUCQvb<4_ltG~a*Ibd^?d(!9~>_@LCDJxI6S$ouZtkjU$|1MGP
z^w+b0***Q{QSH1-9lWO##Eg)I#fWqg`qjX()h4^}wg(Qw=AO9;*MmDDZ)QN`#=l&_
zeCjV4S@OOld<SZ2Hvs83Cas2QQQJSL1s^_qr~paMAL<F?Gy&(C3fb+t(AFx&(#K1Q
z=P-is&HA`J{moK{aJ3bem+c}ebc8nR*#X~6iRrVm^oV-t95n-qRW?07TNbCh^|J*#
z$IuDN-{|88JfVJj<rboO<=$0xcNw*sty_8IK4U?RTOHq)@|>qOo!VO8)&Ny0f!^tx
zAc$P8l)=rd1DkzCPjGZ|tF9(j&WNnFT$(=9vC7-_MG=Qy-_iisiO&_EAHi&8iq886
zX9FEU&=$?<)4jmd3;emZLLb#{szX*=^OH&AsQX3C7?zCxrTxp_11W$g^4;cZVhLj_
z#2fKNC`gT5QTM>0ML-x?q}5v<Y^Kl45}vp(A8IuswDNTYn_s4vLR64=g0IQw>gu}8
zxpp9Xsl!z?+o=|P?{}p3qi*VYrxIi$ZXVVfSg8Zu?pG|s6hdDRZA!koxA%PA_U3jj
z8ts87M`l1^Ce~NGf<3ZVYA3g+kw^ro$WbnonYjrM`nYU}oD>3o9hSO0b?|RV$mu~i
z-Vugg-qP9{7Zc3{gt`Zc`Xu%Mm(!iKjh2=}33lxkOYqFwmlB;+u2HUkyd;`yFI3>U
zIk2M9Cg!}gmed8R*46DJdf%^gI42^x%c5}YsUAMJKDYX}k65ir=+bXfu_7!11n4~M
z-Zw|MHc~m?esj}xo#7{&Y&c6x+ZR>8;ecOWE`Ot=zxG)Wd!xCegr{!Sp{UDL)K0HK
ze4e^~HD+vmj2v0HvIS?5gzB-#laZxPT>D~rGxYF_XJd<rj;wKQSYw8D)wM;c!x%w%
z!sr}*Cs1%6$dbYRS)%x%+{1mvmzRMF=5L%KR>0)DlsfvZO;>D1^yjnF5-#f63fzun
zvHBq1bvkXbeyxl!k>II`lQze;G}GtIc@P3yk5M7~7rw%%p%qdimD<yePoGY0E{fG_
zZ!d6J53G-^JhB=pl?LeA2S{_I^{HV2!bbBr%h+#PJ2k{P%#;sI<>sNak3IMJ^L&mi
zK?%pO^_@-)<a?3Dn2!Dd^b=o?jq$wJr$5v*+?9tck#t9>=Dwq%+o;d$bBwOLd_XUa
zLdi)*4K%BL`<}Z@u<54(ec0|nk_&vM>I|k{AK9H38P=w%|I7l5(1r$sApiC2J>AA)
zo6{Y=pgHsCy5rT<p8ojqCBS2AkrqEC%TSOO<Z^#)15`w^xk)B2=Nx3AkhD&=uMv?p
zTMbjwUs44$G&HyndXxtQ>z!kk=RDueiU<KmN0bD@qL^oj$7%zc18}LReT}q_-s+{L
zk>KMeH=IFXQ>(Yu(3!_92rF;@A>URN{JM!`Qh;E21PC#?WMWTmiUlN?vA+_GfDUmr
z?sQkrh4*m6N6HgEUfL>~z$Lk0d+@2$byC}lVwh0I1pDs04!>f!tX(#tz`U(qtavn<
z$)SC$XU=2A3*@uZu56@E$iF|11tQTunhAnRXNn{uz7W>ek<rSBCN8B@XzMM@%vMcu
zIwxk`Na-wAv6~wc2~7vhZN&w9SGf<ABmJJq2!)I#WVS$yFUV+~1;Pi_Hxt-~3{s)#
zH>V8VE+KS|>hOzPtQ0G0b^Z3{9J1tDkXj46r?uA5`e-*x%QxT0g@5q`TbVoGc)#(I
zdb(o7Bd4U~4su&-bCV2iZ=)C??N`bplXo;|Yk1(@Q#wI4vxIWS>0fc4DcaU`8M6y=
zjHx6H8=KEoh$!ft%y$<F6QlQdD*wUZYoRJ1O9os@BJcMc@B=xuCdp$w^YlV3Wmdv+
z)`a*x$g4tg4kRQ#G>Kx|+}Q}?ic!4h?!FnDm>9~qx#FoWI=4Att0lh~n~)IETl=s`
zjhDA4G+lq2paI<g&+>QU3e!uL=4&K0de)C0KfV*Z4Le<VK+iR>5KYLnO<rwa&|_`3
zS;{vR$--7AZTxIrDzJ8!)UG(2c~|M$ElJ6SiSHc%8XK#>SwD)QsV52i4ZsM{iau+Y
zJkD2HSORjfITnizHPJ%Uf;X-!g)f79vfl@dUkz2Ia(P*V`Sa(~v(}SnL2CVtjL0aW
zhUXRd8Sgf8rY-yS5@jIFLU*}ggOoYNK|ht_m!B{hL)Q@34l$3k20(28yyylJIYSRc
z;$xi#arwi)ge>nvizw10!g`>OYQuHDF$$ZVMqmET*4}YN4iV7=eqZ>S`)3~H2Mrve
zeIL=Q&&$&e<-2xm=+A<$udlSo7E;f)w)P;ZbT70O9EBbm)FW*Ih_EbZP`!1lgUpId
zaG|W|LYL6?#*w^g+Th?|e!2=yj>6&P(pGdPh@ExoqjPzAuQxzyNeAe}@nfj(2&VEu
zUwFiam0#GrB5T6hP7<SVLU)ao1T07^pSVOykron23#xUKp39p)q_IPHwOAi&jdf2P
zW<z~uq*8-ndsQ}8Z#(GvlYxXv&+P^wr$1g>9oyG(bqpQ9@C1i3jyg{kY2OPn4m$L5
z9=Nk0m(ytR&C)qnhbWO>Jk0=7MjZy|I7A)|Hdb{le!hRDdV6dAUUkxKke)%MG^L>v
z$=0oT)Yqq>&tx2sxcM7fbsUoBCF6jtpUR0kRLlwz13#Y}@`*z>ac;X{(--acL%EMv
z@f?+3-+Xgu=#aX)L~N3KDN*jqKO^4^Q>Bt$g#x7TTmn8WN9^$c{<~23lZmUR<x)~E
z2p0;F)5vMYevyc+q7e+)nia?c)7$ZBQCMW9%8o87X{DC>GAPv4=s#LWHxxH}DXLZN
zMIfToL?~w3PiN?NZLVxvkK#cxjNCp(8+!KY<K$Tvh*ct5AE-x5>aPzsUTNypodg+H
zl`|@g(Q33>t(nfT7PNwO2YjD~n(kcaO-{?I^EWe!PyRtF6(o=d1?DiJnKxnu)k;@Q
zzXPDS!|%QN?fpI&o-!AKCvK?PAupZqdI6fo+27YoHM8PvV=FALDI$8$BlH@zLzD*E
z+BAMX%J!`6_B;ba&(`KTU`SrxG|+7vhgymH{JVSe?rFfQOco2zj&wsm;>R86isx|%
zOuU|KGXgw978l~Jw}~wSWQ70r+_Mv^g^ksaZS>fD(6$D8Lw{>R-=SZNYXFj{p~$RF
zbH4+r2Xv59>o-Tr@ByY9F@$vz`w^>pB06doUDibU#rbY^PoM6on-pQ_t-)+6CAcrM
zIsEXwG!58PwM4VCfm|#f!gtyx*wwA-=@;m50`RK?s56!Upts2WGi#RlWV@`{L+opS
zv7A;T6}Mn1o0;T;UB8z2HIGC4xya(d0~t{JL(|LJT@o0lt*qBgq1DQ;G}Mupg{-^C
za!GS8fHwd&ok)wN&Xu8;N@F8g=gcbf?2bX3esXFb!>ZusQq};x>>{zzIOaOnO_BIV
z3K3_yup&;-oy@x!<m6pg^^3$-SEIvYc@dP&yh4g6TIkto3w-rJoy?{9Klg7b2H-#t
zyaPX{zYMgD{DF`>L@xzs=Qy?0law(wCOYcAQiO+=N4?P6&$~;DNtn0!>%omiE|_)E
z{K~qSxg|uX1yB_V2rn%{DGLv~vk1f)&e}f~q3KYF!^f5@Jo{lG=8yuP8m1(q1!jWV
z%wb(XBYQv}U-~*Js=vLYJom8q?ha#7TWd1IILXAQM8CC5zv-)K>g{{-sgdkRrS)9x
z;#}QQMo~BsV{RoatksGxm#pMvWo5aofx?EY2%*_?<9gjn-6R$^aq5MTs^Bj~krD{W
zQlPclEkHDC(A7mikIN=*yF&QuH4w?Nram00&n<GFIf(!T!UUH!aHw8TK$mJK>yjUx
z{?n7VoJIIR&Do7~Kan_SqV+^Ds|cY>76&-fX3Yh-Fj3!xe&i9ttYdwFn<$q#=k4Dh
zYEFu6Gr8lmF`dDlZh^?cEV%1Gf8OBIn?_$y)-EIq<!WO6IyPH&+AgU^JZb%_Cze<o
zA63aiE1F`dszWy!;lKXJC^M23=Kb|Ibk^o%#_)wJfR`H_Ht_>kZA`VIc7<ghe5?Y(
zG^eMPx93wC%0j>!VC?>bBB>t$=r!ojD+93!5?P)ne4XU%3>4I>|1Ewe6r{Cg+)aH#
zE@#!x8>6<Zw~%fnVzMAI&Y@O46^BvCHjUs42u6CzYW0M^8NyJ<quY*-l?YFcLN7%i
z+I9W!38ExvP=3aEsnbb)I-adYHD*vAaG_Ra*VRskN1(e>U6jO8`X2}k7RygbvGS8K
zM|VG>)_IJEsPPw?tL;Fz(ES2xk~qyvZUY=QY3OIW1_uKK#)eO$u>aJtqs9UBv7a6?
z-wn6Y0?ib3OZUFTp$a~}-m*VblQqEt97lF!uwru<%Afm6yfLZlt=->oAg)sXZ4;vm
z&IIrXJ!Z+8wm(lw;S-9T?L<V79h(X&^2_P8=RUSVe6-%aBL~B<@-o!u?+5#<?y#zV
zxi(oVf!IHGwG=OYlYp)%RlTsX1M=PdPrY64CeSe}sO~CMH?N2$418473w`5oE(cv0
zIK*vVvTNw_lBP*&v9J^(rKnuG)QhRR_CYFVe4lh#{}Ggd^gJDLQ{<ytVrpf`C!j~*
zeu!-O<A9T|x(4`-D(HkcIu`q#<Wc#I9d=A@?vupX*EIL(K0wFv!dJ4+h7A9xkoyj{
zQ@qROf}fNTIHOFCQYngGx&k~;p6#S>i_H|*0c55$o$pRRJEnNh@P~o2PD32GVz|)T
zRyz%iqRh-Dzy-Ogxp|aVH7)8iQITz*7InZkM0HpTk0%4?8u6t9PyeTQXJPl?7TC0y
z!*oN_?OpEq91AR%??#zbf}0DC{=VQyhrHG+;>!O}?|NSPs*sQ%NC)m*5Y|A?72$uN
z%qT`G&io=OSDI9a@P?>laefbR?|vPl$T&t$DH%i&GM<kI;~?_K;9|>9-5J^ru&E@1
z9(FJ+P82@q4eM@DoE@sos{`#0eaG=iZi5dgh2;LfUM=w#|75YdF`6%SeOoO5OGxqd
zjo4j7l>9#~eg8|>vf+o1GP{?Gr>S<ynQwF&9gs6p3fkQmdzYzh?>=+pR^AlBPnK@x
zw9*OY_UF5AjElq_i13vj&|o*Rn3PjE;q%E-v{q>6^9I9pI-tcHa9CQo>s0|zK5t)+
zZ&W*a=)27EH5rfsKU0fH$DdOSka_j_-ut|rp!T}Obd<vG1-GIit4#FZ6+PCS$5{e4
ze`C#_W;qsNtUb&VuOf^EE14C`?wkx#x*5N*7EV)SRs4FbJ3}gf+vZ>VcFzCnUg+j3
zGAioO?CvgmzMVZPppEQNo^X{b^jf&a;o{w?=`4Xeovvg-+yJuw^F3VU(1(u`=l<?L
zaoH<PQ}6C8^-Mp5eY>2JUVVrnDsXpl=$dynr|MyfN;2lYgaD8%9QOZvGbPeZScr`$
z`|z<~-ywV^DaFXYm83Iq6DsnJsb!ol24TJ0$f8y%;s0DThKnWB=M=woC*AfGG&HI?
z@pls^UsP=W$uATU#u&IOr(+fWP0*iXZKv$Nf!2O(rHQ}yX7pQ?-LEW8xs@^b;p2Py
z4<93BcGw}xi_AjkZtqr0d;ky4RFHW(7iTMCUKF}_zeMou4?i|QCzaFC_Um<D8O<^(
z$tL$)Z4ep{;LR=604o@9Z={jhN9Xu8WpjPyCQ^N6ryIFEN{|Lui%tBp@ZT`E6oQrz
zed4Fjr_;6yqbrsGSZlmb-PZ_|<nC~#b<)9u2SNEd1$esXJD%R{j|8Hjsa=lfhSq9&
zkFuC9FE1}5x~8t6p|nmbd*%Yhw5x5|i5kr}_U(P>`E!cDZ%I20q6~jL)Ur=reM;^o
z9_;k-;v4t%C+^>m=yyW(pMN=k1BQvHgIHvopr)>EfNBYTB!1%aL5?Ru>PO8|#!esM
zU1nHI)v#b<2#<_NOLher^C1e2uGGof!fQXn%7OhJC~`#fMWEhlh=P!#s$iPr4vHPf
zFcU@$^g9EL(-fF{IOimTw(d;`!2UV^;bUI~^DV6lA<5jK*Z!JpJ9Bm3_l%XmM<_^<
zQVe`b^%1UYs6^vA<hy|om!^+stN&p@S=xWE4sZaA?0du_3w@=0hPBkJI%D&-CYFd-
zX3dWkD%zs#N`^~BwejNfrLCNx#S-p{Ot30<0d#o7G}`>lKshezFsi@5^ElEveDT+B
ztEpX8o9DBv$eQ?yHR9D&*LA|rs}@)OoVo|x7E~YKvF)uD3ji$y;7=7l*JGliL*^=N
z-lGfxHPwr4ghWLz8uz=HqYTy%Yc5~@fLFQ3V|NiJZjOOPs$e0SsbCA+D|P+;<%UDc
z3;uX@j@z|c1RNf0R%()xl7xk*`g{)U3idU0zzH^66y5Hqc0MsM6^DC|Xc)(tUpB<A
ziE`>**Q-&>A*%xwVkxq+RvNlUpiugk+fBCjIcfe)CASMFEtFXm1Ej$<A<z1Od(y$M
z5%U69Sfd1TvS$_=EvoA_--vV-OS;K-+;CoG?4%UDm*1jOPiTW52bLj(%KcJd{T3mY
zd;ZhKV4W79o&LzXgOh(#Tb*t6>A>U6g_ryjCFem-9I&b!WtOj=L$80H1OUSknogl~
zRl+pUIg{A@<gj-32YoGZ<L4#B@8&V;ZiPYXf)ldIHgd-_gQEMe7`Pmi8Nue{ceUcl
z(Jab~iaL&`=vc;{j97v7r(V}#tWdWGyl#aH)4UzRca4pWFH;^4?S(>_4lC8Nn+jgf
z(azAevS|PLdG&p~?|gPyzyFJa?8X9m`tkGgXV$jvLAhm5GLdg+5TT)sOSyT*E9l*B
zP#weUH#8EO{9M8TjuVv&GSP2OT58kKV712F-<WIdOt6<UZ_`xDe17*ejS4IC=Er{A
zHVGI1=FE4oqzxa3EO`LTs3<g1i%2r4pZVKCN2w=({Z08ke;5aJdaW1~SR)|Gk^ak4
zxqyVYV|whFk5YtTFDQQH{&(deTybK_k|gHgiudW&VO`~V?Cg90J@^HWOxj)NTkQZH
zh|tH|mzM0`#l}^8JqliD`EJ9_LwJYAekb2z%H65bv>ESl4!qUz!gq5NZld~kQ!ikp
zw7b{jyXEw6>=T*i*So+@^6%o8l%Z$G=nsGR_<ii{OP50wf<n7#KmQfddsF}fLvCo4
z^{<eO+%okW7K;hvk=ZxO6S&l9qSb$o>(sE<ZY{Cm2L$q+*gu>@`iIZBOP(L!&H7dk
z><X6yNeqpwH57fwjx#^`SKi)8Gf!euN&=wmC@)<e$X#-Aw^SGm5u0(m3xPy*K@#Te
zOXs)yw$@NKr{U|7A#=12Oc#XQUU8R%{kyNl_JFdhOwWQ_nyPT>j3nz2-1x8L-3;YA
z7~%WZ(s-3=gjw;o{lA%f^9*OvVJ1^J$#%l-jqz0`A8wnwyA$v(l~Pw99*gM1EQUWG
zNbXjl$SS?#%%^nqOAytVRr>6O%r<XF+MO`tfLa`IxUk6VV}Co~nYLGsJN|dn5f~jH
zrwM<!H^`oq=KQ_k0H=W+BLX*9hv4w_SoOkhtUvZg`0{-Cc+21MZ!*5MhVDX_1c2W-
z$QZ#hCB&V<FSR?Emu?s{$kj2mY|RyK?5<{9HT;n&yL(XxIz@aTYRr?LD>wiqv7Wf7
zxPLbw9)kG+s7Be4(KSWIri*}3H81T3@9hTxT@4gkZTJ04Ic|=?rZ~Zz`Y&)9p|=h-
zIFnaeD>9=2;J?Cg=2V*9$KDU<dM|nHR>l#D=&RAHj#sK-A3MDIyNU*3yiI2Imy244
zU=s<wzOC%XeIjso87*xgtZ#k!$t3SX#@IVRr9IB{!DYAf7yAY(Px1@s9;R5Qz+O`P
zxOaD`0y%(5WU_2S(?hnr54!vSSTgu;dkUmTmK~rIru6o007wrXA-%iuabHxclQ+Y(
z<hud3OV)Y&n$i9Jf_KbU5?CK@-@hGmwUe$#PG2X|q+njf@Zw(^Bx;cHL8&zO@FRF+
zHb;4^rj?H~8+H8~&C{XyJfEiL+$EK4nGK{AB~rUDq~lDm!*^=RG@Zt$rw$8<N59J0
zO+QlxfU4cck&gKFGkxEm%YTq!Kk|1p;y$0LglFhlKdl5-pFBY)Di!@|;@^GZ;D#0<
zx}h)AcY%M!@`KcyJ^yZOp?>~ZszXqr=^_xlP%8@NRFU0b3dz04mz(lk99WEabq#=P
zsATjjfn9Vxb$rJMsnek$tPuSwLgH^Ub?(vOBBk&zEYj@lY7Ys&aIA}bI9QpA829fE
zQhWQJ0mxngu)4w9SM!=%>CT1_;D*@djlF}OVx=i5H%`CVMH)h`ek_TTc-f2WGATt5
z5ppMA;gN}cMRiK+H(BA^ABVvUXH~t}e%%4%zLKNKj%{GrDsI0z9`JG?DIuZHb8FHQ
z3o>Z`)KoU&5JDUra5!WvwXm?zL~LhQd9}f$A?_zOC)=}7AXWUN6CeXy?gc$S44<QH
zjzPOav#%5MiZ|96bml<Y{VOi`JpBUK*(zC(;QY2WI<|FIzS;$&!5EG}qzp8nujn#;
zFc)s80HZ7gfB-lGz$X%bYw;@a+$Zwxckvg4F`mR80i2m}kGfkyFLo|khi1Nh^<<*!
z5@DcT4~YBIv90Aw+_NK`ojCn%mreL>zcjV(o8AfJ=oSh!814oeR7yQY=Q#81&ffiq
z1*GT%<|G8#9MJ<OdMj7G4uCjom!7y>PS>8ev2@kT8SqQD67rps3Oh6&+2*O1Bi+m2
z!$aq#$;A&unlwI`-q@V;EP`_r*wyi1jmr_a)$9=p)9~{^qKNC#p9b=x-V4N$pzIOV
zAQ4mpA|nwESAlJ7VbCb*0Qj1LQC^nb`F=xdu<(N1sMB~L0eLD2c^p_Y2iqz+N}&3&
zZj%teKZBj~Pz^4I0bNfetIjFD;edLYdtE;IRii~S!Lm`*8E|tbbc1JKM)^#3w6}8-
z&?F?Tk!S-{@i8(oM8nYfi`Niq(y-lQb!p?AJhsA%mH3CrKFpPx*J-bOPDHR?5fIvU
z3tIobSg*Jr=tIJ13nON(mhOu8-nDKL#%mw$anT5{jOclkjQJh#6A^j;j6YBOXot1>
z`>PE9`#6_jL4eW(zi2`fqZOSZ*jUEPUYVFTPntHymJ0tk5&W8x&(xezxPIuY|IP%)
z4XrNeL_2}GX;ZfZ%JR8l@FRuD(&qq*G#e<?1sz>23VPHt!{s-xKl!a`FL{c1qnDB(
zPuRees!}LlcT%S~9IomQraD5&(F$ih5_5nFfKFMa7Ud2HE!0391SzUJ!o_LlRx)$j
zisa`$&$w;ga;2Q7DK<#ZS~}|&rSDM%rUU``Zs157qI1w|4q;4q{NWIs(cxv1FLE8l
zfz^ClQ-9+JHMGW7rlO65x)4Jet#$34W_s6rFpq5I>UQh^OM`~E|GJ%gK1=0`!S1q#
z7r29Yu29GtK5n?&LSxPTG)txmt2?NfUH|rOn;<4XB;>><UVpnB9QlH5A#&_?^E;bY
zsKGundoxVJ<cGMUA|!9E$nvI}2YSl_hMel2HZ`06gd=d2sA9KBCNlCBGfT^tN>(VL
zy?@<>>aB_u**;BWSDLcxuV*$8C?Fx7*zp(6i4MPE-&qvRXG8JY$0*hTIG1eg7NPtQ
zAZL=sXU-V+A}R?AW?bwqPV(Y^-BN>aE9-#jusc??iYJ+kBzM7rrU~R?#MOkpqj4b>
zQASE^cEM17DsUw*mJ4H8sDjPbZz~8GUJy9G`&6}1E*AvYOwuxqpRi(3YN<FxQBv~n
z-e>;{p`4&SzFVpevmuuJ%n8Jj|3S*qa<|y9u^jzxq7FGKz$sd{^VMu0p+iR3n*EL7
zhfob>#g9$RmrfI}861FK5~w54OWILK{A6Ak70=JJ?j$6$vU7@xZ2C)-HqSmweUP$0
zEc%zwTK!xn3MW*;*MdM)VQoxp2cXy~usa&7AINpy&%bo9Rb(VIur?l|=rY_bMZ@m|
zW!9T`KmUY4ZI+8V$pcTO-<=y1&@#U7V)pgN3Q!sCS^iz*hKs)WP>qKoGXV8v{0M>c
zZqT?pb?iWb!4((VPHCbQc?>cQn?&@h_J4q4f75BYtKmJW)whpP)DW?`LE~-|u!j<{
zIbAFWAy&`j@lfK!{;hO+$#gCAgN4xazY<A_^S?KK0MtI-BSGBh?!=vL;IRA5H)cl6
zMO``Zi~yBy>;vFF=(alt_qeZVcfOYd#Pl_)(?HoRFp5-@c6auUME{R1W~sM(X)(H;
zvfT4Zw&K~}z7}r<5jDgq$E$o7sCIrtw!x*+oox^z`ax<JyC**#vb;l%z;k_o=XlUJ
z_UsO`SAO!V?T$nU!GC-g6lDL4eV5Rk*xyUFJA8$m!*JlCE0mHNc}Ys~^xp0WLlI;y
z`+p&Gak{??SUf%9pNJeNS(9mTk^*;fsnrLm<P*DBa}WVghIc_&-#1z^nv{Ka?3VZb
z4?Lmq_C02Jftzdh9@ZCzMqRLGL|C4B(%`(?O=4t&w)fwY5=SYR_ZIw!+tK|5s0NPw
zQv3p{-$gh>fgtk>d+s$>62)DVB~2m}c%a!A;XTD5=ly-$x2O*vb>4@K6Fcnz+$S{o
z(EP+p$>T5tfjJ@-Rbr)g0C~!bZ1)taJs;*Yh^s7j4^ub>*b~us<SxOnXNMX~-*Gv?
z&SWIAf;=mnQE`9duD)i^_&*BpWkeF(D<J&$!#i!D9Et%A&17jUwO_rhqI(FYlJ4&U
ziOceUB$yJP+5G}mmZ<sdq1)9<k=hQL-#@wjyyE`he`DHj9MF`x7#rPkGqmCuV{hCA
zxVTHK?7e+so;77X=bkTqn!ck4ikt3+3+>o06$KaWL69JyM%?%dBL&{H{3W6xXzzor
z2w)dC-G#KY{Q%4NA+Y?mH4&D-Q}EAkdVbp2zKwri3OcJ@VCuLIu6*d=6u>z%3OoX)
zt~<`^1U3@qA4PYcC=n)Ku_?Y(X!t?OKrLS(c{L>1O^RC2DMdy`W+}i_SaNi96i!UI
z;-R-Ci2>UVG=HP8Q)$6^fzmtmht7amyB8=B)B(&c3&0!giTmJ3;+K||MwEa+|HJvQ
z72Z}>R$ePb9Ogv({P!2s2w452z=a&jN1>)rh?q!2{^29KF!~q{=)&GSv&PBWUqMK8
z!wi7q?PD(YozTRsrL3Ew%$F`{xbP6~6DN`T?@lZpRu{hQhM3CD_;SI00xmzO{9t2r
z2u%lj87mu{2uJ=HJcnb#h=MQpPXT<&U;INdk>ub(r0=M^y*0O82(F}SYIZDRZi{V5
zhcQP3I#d4D%B_dD_IU+z>O_?&?dxRyi?#ZLEysG$^9W&AlCfWXtRi52wAgHBby&0M
zblFCY)?kE&UXERdh{m*iwcFUCOYzCj<Fpd`?oFX?e1bTpcL&2;s;WIZ&O0OLHgjbk
z&4mFS*=u2<wzm-kzaGNIq*xJ%hXpPmd}b#m(vQO92+%#xcb%)#m`rd?Oq>reg`<QN
z6ub+YR5}JIO(rP(WOy@Zi{;rlk)YI1?UerE;Z|x9(D5#ItV9Gzzp-PKhRpHY>gMz3
zB1iOX=-KF5w%}a@L#9bc2k|DjwzgFqhJZvMUNUTP!?7MPE{ra?2L*#odg|z3bP+(N
zib{C8BRyJKQTZj(pKbeucVjXNf`rimJ0`NR;`u(N)@o><-MkAXD`h5mXzv=0n!wo<
zA@Gna`G{?#JY?Y`&c@(ZzrrFB<P1^pN#?z{7KkV~dJ)RU!_$SBNDd8E6qxZ<cl-ZM
zPhP2rL~&1A@F>MyZ{K%9r9Ynjm~Up_lCPdh_2=W|z3VUpt#k*(_XS3Tc%zcR-N@6N
zgl-3TLqLwu1UUjITf1K~HR{y)(r)rU@sq-`;N}^?13OVcV59?KItzNjvW^({%171H
z%uFYJtE;GpyW!n0Bz^wpR2Srd{uH(81sxVj`z~qf>D;`+Ze(Lp`AdU!c^Yi7y_l^T
z3>LQC&(zuAOm>vefiSmyh|)?tw~*HiqG7;a(J*MRJ44f(`-EBL6Fw8I2=S6p$XoV@
z1#a&l9&r#N!<F}a-_b9B=}N~NMB5SDEPLq8CGDO6LX#$7dJ!L_Kmsw2hHO0dH}k!V
z{S(*)p?k$J`YN&i@}En&|J4I`u!Vu7<~(Ny%Ig=*+edq)o|x3Lt)b(Zw!goLA&rK4
zSUxW*U@wR?@?cjQY4m0B3VdeGhRWYFu*lDIw=>0FqUF9sj3W9`sC9G2&#O<a8L)3p
zYWnpin6_3(kpgw}ascYK8TMYn0m;^n6?6~%IAn0~JM9rvUiMkW_ESG;FSdq;&c6zn
zY*`G@!2pd7;8}2kn7)U$ZY`yG8H}H7dlBya8pfk}YZt~G_x6>PcYtk0dkk|ArFj6V
zB;??`)2SOOtVUPpyB=HX1P^u<&Cd_nzWAXNt+|+_;W}I-WEBvCJ5yC)`nvD@{jkr?
z!{Xf)ht9#O7dyd&g~NMN5UEBWT2&cQat;_Af|)fq@IvB8iv69;@Y9(;PLSc7BK)qG
z(te46gP<3JGCp1Sm3B;0u2R6>^0@HJ?X~jr_e;u~OD!auoj)|cYH&kFO<JMR40R=*
zL+)Q)5x5MsOmh#6+9~Hk$(`4OvtCxL=hHF8hf9Ur>@6-|3_SEq4kK9bD>#(TdTQ{o
zroeed6iQt7OcJY^n-G`0kR{S09;D$q;f3_VyaYfOZ^~MXZU1t>SJ(H|OP3!C1!Yx+
zzq|iTs0SaRHU3H4roT3re52Hsv{I)&qq#KSU<m7DAXpS|UsMj32ygDjTvYNOxb{w_
z621Ir4;+J~6bbC0#6JHx_Eu%SU9<0ABvbR@T(W&fq9h|FKMj9wKJfAZ?cKwdqJ$WJ
z3V%0F&pjM^{3Il1rd#c&_*_^>DP##JX@2__&7a(3=F>jddccc6l<R;mFO`H5G*wd)
zqeJOVGIBQSkPZ<vf9GcMkv)^GlyJB|>h_wWwBVOyVH{b<&Jx|TWzp??+LF&`o-J6I
zq6ZcKZgJ%i)XmpiE;LE)7R)$x65l!-CS(8TPsbf{e?7Of5w5VN@d<9D>3*wcE-GjI
zv*u<zx$OzN8!87NDh1;Hdjthab`Vms{a>>=#YX2GJL#$*Vf5^rP1|53)AiD~Yv*n?
zy1fp}rKeSsQ*R?-m48@p))xJz#3NBIZVlq+-AjQmL`73-I!$KZ%-2nAI&yG|8(?AQ
zGoADKa`Aa4IC*LQUdh*QPiU!gd;SQG>sIv+E>9@7$h(-q{npZ*{Rw>V5x(>kR`>@!
zG`Sv>NrRFJnwz^WqPZ0Z?zKM$0TV4-_|4o>sAx##HAJ6Fs6<(WQ}{U>-kgUD6eZf#
zxBA>(FMc_qrA=2AzIHC}#wX^8;PR*GR%JGzjtpNy6gj8k%*&an!$RWGr1nS%nw`_m
zm1C6qXsg;rGL*{gt&>gh#6)~LF7|k7qx|`q1JwqCxk2}{Ac*-wcj@2`BrY9A*>l4a
zvR}8=(8RT~CD<_?czWCVa_;-Y(-Ifd8&z(|)k}=W4F4&4VphQ;;b@7`H@X{pinjas
zjlHPOwSNauc0sffBI6zo$_^4FJ?Y~z?pJ=bmP(WDiTUb+?c{Sy0rnA&1Ho#y%>Ns_
zNfe>T<PTo8Jy3L(IrAj&NrjeQj%TNwVCDtN72Ep;74>5L&XsUc^_`QrAf!10QDLYg
zXRI)wg@vi|4vsj_v?#F`RZIX92;S%&Nu5rT)g$cbt!LsV-enpG++k+;5)$2_vENr$
zV&E5x#D&|Y*A^uNj?j-DqzW};`e_u`-P=ZTt)uhzD~kQERh1!^*#GPE!%=zY^Gg}<
zf}C1xe%d&k^MLOV45*$hSK^se@=WfHPp6uV1>?y}TRMLi+q9KVKG*pe|N3a-L6kV`
z=>MKSe-;Ab5*bW59b{8r?W>9@XBmex{G^^q8Mtfp!**#uq($#X*ACHn@9o*{(r0UQ
zaW8`Li&Dd1NDiT<u0pQa^%?_bxdkG%c=O@sAA#Q4zBtETY;|)}mj_%Uls51W-vkyu
z6qS?j{$O0%dj98L2vbP~;{f4{&K@}965OxnI?3m6eXO{D0#>r0b>PTliX(q(F6Bt?
zJ7(!*(&X{e#(Z%{ss$(*_h$1`->48hf4?D<4+8v<<R|G45_A4TbdzUd+aNu9Mf@UG
zTUD07XQ+*8Xa+wbH4&itgE9$eBlJ~j#$&LnI&ZxuHJFa<4sYUWo0+PBbh{_RT4B4&
zKaRY#koDFr>fbVbA*!&P_a^>pZMZ*t&cF^3ck%Z##(ZI9mrpjF>nh>E!^kuxD@<DS
zq)5#JLUN+XOYgt~B0^dpDfAdg(%g_k4aR@q=Fxy&S-24(5v0vv&;W<d0C0a)Ot~y~
z7JBl@m)d`Jq68>g5C2luv4!ydAX`Z(tj?cdvl$uHQ9;X}lp{)K!#;5&Q5f^-B!t>K
znP2N509@Ho2k1Z@Nb_eIAn8Pm5|&pDUtblydpqTV95CFx`s*_Ay*=3vVLat>4QuDL
zqba(hyB$tNlXsV<cWG(FDC((LkeOdlQ+o}?v6z1K|FXoLHoV}4dV0Z&EbT0#(xe)T
zTJP1Mg7>qqH&JiQSQjPKU%b|HXf(DmNuP_e4U5hY$S7gk`-$N9iEw^c0OyG^V*?UK
zLu6=CmnjZW>`?`_Q#=cE7{U1viiHuYT)@?egDyriQ+_2E524udFMI142v-n$mO@UC
ztMM=S%5Rx}ASM!AY<K4wTB2FXhq*Mi?Uac&u)d7&017%(cGJB*@2V$g)20tffU8Jx
zbH6XDxDd`cWtT(VrRC3<w}6t6sbHIP%ls5JK-by%BV<Xhw)dygd_eDL+0i?ca@Zs+
zQOWcc2T`~n{am^Db8`E=ZW#~3J=q?X7N)<Y?VFjs_ZQy*a`o*t_(g7j3xlceRy1ky
zq5fm2elm=pP&lWVQRcaUBhNlUKMNWq?z(qgX6-@cs`6)qFmedjYiJ7@-weGMciOgO
z594`8uW|!o_vfE(!l*4$yU&0ZnWtZ*C-<Q8OmY%R+|#O2rB7BJtTNL1G(>V#8r|7i
zO-CenV+n>sfpNWq_Du(ik2akS1cmjQ_G?gB<+23<#v6D*4(kt?qrH`RBsTxhNgoA?
z3)f|#P#bW1Th=w0tC{|GzI@JtjVX{-*Yrd}2}j-?-q^LcUdXPbNbiUz3{h+4a*Nn1
znr`klxCkJj7%PmK>a>)gC_CVsagOIy34brGhPB_h6R6^OHHW50chpFSSez`cXr%MV
zJQ_UXdZM*58U@9CN)b6@dW+=m8B+*_H!mSK=CYFb@~$o1E`|olZRG&uG1F=<UULKq
zEZrn~@b$oD2Da_RkrOur&Uon3%5}?;Y1T8FF3^aC|Hm7%w>SjUBu$${Yrbm~Us_Kd
zgjRSOWJVMUI0pNWf4=vUcD`GFe&o`vTckrqu9hPY3kW4wvhUB{H<&<<o+eW=AHx&9
zG^7SLu!r(b11bf1DJAxt4ZwuN``$1vFMfll%Ouo2wkd|BRpMc>$uWT;bFu1+%?k_V
zG~zPx->P8N3U;(zQVJ5+A2iI0`-}I(0t|B=J$cFW$O79lq>o&E2o`nl@hRFHk=Kp6
zRQG7{s*Z%ee7wH(<Hn~0Yz(wts9Kgu1=9X+huc-m0n|-^7Rgo!%vO}}>9&(Fx^POB
z@yR75Mh4k`2^m*zjp$R|Xy@IiUatN8K;UUV^GhAGDTg%iP^&YR_Yp!Ji@0-uQG+{Y
zRdJu@6{rKP{p@mQX9M&6;R{i3k}rD)404QSp1r}zy)j&L6;niZUblW?qKt!|3^q|t
z3a>!F|Nn8~lskBFpLn-`O#T&^F)$vgR<mICOBj`^hRD5!(<$o1fXG}lVn1`+q+pvr
zCwHH|*ddpQaj~#$J^a#dz$dV6@)e`ERE^03G`>ym2i#G<k_+0Qs4*%MB$IckRJ!^U
zy!;YI!YB9p+W3&cztUIyNK3u*iwRFc3GK_*NA|y-INr^>aIfRs^Ve@)d>@F22=#t#
z#vJEZ?#O--BM98vVf8qquw@9`&Qc(SwUmspDzBq2AMj;`_z;(0rQKuiH{t!dP($Q*
zwTtEx2h^Ek%}+!wI_8|e|NQ&F6IQQ$Vax^Z_$VHk0|Oe&bFA=a&+2STX094lhkIv!
zMd};ZESG*;y4ONgYa1P{AZ33w!WT6RW%1oJppd@PwV7A?Bz^#okcanqF=7N`TTbyO
zuwviO$CnO0`#r3X7n?BiAnU18arp6W!2&f=b#-|{CbPF?iAaT2x%%c?Ep$@TX)2L4
z#dbC3xyxZIKV9B$#6~h@uxo=WsF9v4=jge-Evu7K>V<+)6og;9>R=9{4yw>?Ztc-@
zhY*at{Pz7>-yVR=8W-~A?&J5M;=rR(m0ASw72K-AnEltsSTB)Y-Dp(PlF!ZCGUtDl
zK72Ug9c-TyH@l?2W>zee+(AvNdj}VqDzsS!xDC9C6+75Ez~W|k5{Z4+hehLaCSCZ}
z?}p5Cxtcx6%@yoS<3ULK6<w}DL1A8{mowb^MJ<8Aua=p}z<1<weY=1DRk9ZmS$2kL
z*#4)1&*TOc%dLekcJL}RowZ_sz0>KzxEF<`^h<0qJ?tQ1bUWnJ!+j`$>kw$rYrd?j
zioRMIbvAGiJLfn3DPc2~ea30v*kt_NlI;`pp$jEiLm3?odFLSuHJOd23<Umq#g~C<
zTcM`D(eJ+U@THz$ESqfxI;?Oqs-XeqHicRI4g1ZO=rq-@cP^i}bK%#gif4E!<;$6F
z%oy7jMuSglFI)2Qrx^E{<O+4DswO@>fs^bIjOA>zqYvC)giq|UA3s+rP@GT7sl~Nd
zle7ipRqDnn7oS6VvL@^f8U7>e(*KXF_wa|SYukoh5xt9vG6+F1x+q~tqKg)7M(-th
z8$Cp#M-am3L>p~H?=8_g(K}IwL=O=m?Om?>exCRJe&0X9?7h}L*LfaoT@m>_*(h;v
z@=5HZgmAkI>-xdUI`s8Rn>dyllB1PESr(MWBn?_mS9rWl<JfA@mT%Z-p=bo@04Nrh
z5O!O>e{7q1HNPD78eV<Zd5du!uYn4~<XEjct-TDNZQVJM7{A9~aWHMFL9L^ia_bfL
z9(q?{tw_$cS9<C^OzPGXQG$Rz9&3|bEyYl^uU#9+*pwMtw}HhA4(RnnK1O1ELkm@6
zyz6os-sX3W8bNn*7{^Cr(zD8jm%9lTqDXBfdOgVcO>(Rhu)mjbL(o%^EXSC`pc{(U
z_$p6+G8+2-tYQWw=&#K|)qWMPrc`)&DO;BNMOT^hdv6ORNq<xIqM&BiCAA(GAFlje
zt$S)*i?x588ZqG=6+1ux7JJ!h6C>TwKt)7h$V8BcUiWY%u)C1uF?+(xMA7TUpg0?z
z5}x>>4^%=IYd{`-O>eUoMd2HOVS<8&^V)}^n-YfUYV_#AR@^B|Khgrc-infqiL<Y8
zIck#f$EdZ@**OT>YD0eJb&mU1O9yD!mBtMw&cZI(oe%F?n}GbC1)5f|_qh`QQvDLk
zwKO(I_1;bUH-o23bB=}damSyID4;n5>KD+QgX5is!z@O5pKHZ{0VXKM*}9<Z<|tTh
zI`Z+y$56RKOv})~@zI%#1^367NOA49?F{E{^_9VzS6~rH2m!F_Rp88*w|~C8tpnWe
zj47R^-Y}#qrsva>)f)aYP7bDhcF=x|f|~8p2{@OMbeHNj8!)nguj<T4X(l_`Tce~t
zi>=0sXTymg(F#Qvs_I=6A#L-skB5HjMcTQ3GMy*CR6~JbPl^bDWPt1!!1ej@T!T*c
zG?v0y>P>zK8mH8SwB%|OeXJ50l0U7lu$}+ET`%DOQ)%v~VZvBn?Q5}$q7`a0uP30o
z>-WZ!^mB?)gTv-OTb7V!DhJAt<Z`|jy(Z`@7ih@O#*ityRI?(G$|MgwE2q;lGngyF
z{7MV({a^_+z~!NU+ne_`uN9Zu&~^`6(a!)UMe5!~h8n#%nzu|_<UP<XBx7kf#wPu=
z;G?>cx7FSeCB}sg4sDb3(I`rg-dSkw3$%>Y0otFW^W?GCA)M@mxS5Xigyo-Z57r)J
zS6!Lf0O8E*`Z%ZUYl0l(7K_@SlvmPBNVpCHI$l|&rSXMZS*umsg})qz5OxW~Mpx=d
zJ$|xTu|NUi;49-^n$dZh$G%XHdL;Ob^`C4PfVhGr8N;ji3-gO1gWYA+IC@jR(#mws
z)k_`k;A(Vz%d1cHvNU&r6g0*z_xl(|Q<%yN`Jm<VSMzmrTCCJQTRn{&XO*xGU<xh1
zv|(LJX{#HI1vch!f+L_->pb~-dWb;CHylUQ@q<uQ6C#!3;g!9epOmwdkc$0;c0**6
zBdyCL&_e-=hi2(Yt=8cV5~HAA_q#3wq)q0k3VcgRMSr#ascAm;lG+>cSb!qrXDLP-
zm`wYmZ$Q)RVvUStJzoLGj28Sr4A_Tvf$8hT?L^#@G!QOwVv_lmetsIv(>7B97?hlY
zJ3t21<*Z}bJk6^39sQeBY;5itFVu_RUDs^ta#F0!?^J`ak~<zgQchi2Pd;0`tXgLC
zDs>7QKt|f#P;@i5dY)EFOzn*Qn<e~^AHm*t`+HdkGNsns85tmHL2N|XnIV&wD3-)q
z_UW=lpi~k<2E%t2Bd>RY9Z3AtC#koxWl)sBhL;Cdra+6u4ob}QMi<LVN9_aNeth=d
z(3|_nHu<l8Q1|KS>0}^sA;0LT#8!3~UwKDoK(t`e<NHQe+F)cL&2vreBtP+09@YK0
z$}hsicpr98gRc53U_z*gXr6o(ZG)}k1BEy_OoOE)8<O~Lglge1W&jzg8p-4)15RJl
z_sp#JC+3KAe_mqb8;C;M=EMvY^^&6$+ONJlxVxF{{P8wjwSdw_JYnmm7c=(oDX&1g
zlv=_1dy24kgr|?(>du`?Prs<m><vdm+RhnNR6JBUAY}JEvs?Ul1etvcp`tr#*%Q2S
zyI;kt=B@!HE^gRmX%-}IV*ENzvtPB0e~NwtPo<sz5i2sZ6=u(8rJ}XeFr6CXl)&b>
zLON$xK807O_al>9!jPBBv4P)*JItx40^(HF73gY1_TYwAm{aiuf02>qCh6PbZyTwN
zMtD*d!jGt%17qBT!=;kQ<a-wJCK}$wkoH8=R-e(cRm=pAdX|?RT?HA&J+U*oI;sE-
zjiEhj{e~LV5j*k&4fMCA<KX1!sy7wuel>FV=s5e*y<zRz_{H_71`y7lGjkMJgVek3
zwszbHEuWf#jDj6BR1U^I#y5KO;`e_2>iK9AXm<)h%9Qez!h-c;KxG%ColO8woZD3{
z)8tq-{A|deqXzernc39b=+4JSu_Um^-(Now%k<&u*D**f$m<BFgldSWY!Fs2d!g_W
zLfJ=e=rvoKzsu(y)D>mayM5?TBAM5@+EddKB1pI=UY9S!JbkK;nnM2($o5r_6EPjX
z%H4VP#bVt3-nZ%0EokZIM<=0{g*3yYW!@}Hq<?%s0cG(f_uZfT6}XPWoT|Ym_XPHh
z-GLhdbkz2uogt{v9RA)7onCb!2_SJeE3{VQ;(*@CG6YGHBFZ824>-naW@aFB9F6Ct
zjeN7;`-$JbMy$1-e3|sC)#qgl;@)AJ7u$FwC;Uad^SpY&PxM!XQOtbY`y||v^US#~
z>KXU%D)j)zY{O^oVXMWt`SsTAEgzmD>i=Zzw7*favR(O!_?;u=JBq`+mz+wt)N0&7
z@qql-qgfC?LBT~!0vw(*()(52L#aTK5`6jU{SUH(`D%qZQ<UcLxs*sJbIfxQ<u9h%
ziD?2O6t0IyF-}$79Zv9AL)KwZ39bJAbZ7DplK>Qu*aJP6w)76~@;_AvmMyP3^j#2q
z&kQTA#QERf_HyJ$mw9Iez$zt-lnVDQhQbxnP&uUH7~K?p!1(CC%q10JL`j&6FB(_Q
z{fBndZ(&mh3InY&?&kS_TKI;=N_@*7tTer<P3LYhPUGsIZ3E}cxLi~9{ip+7lg`Bw
z-TGgwGYB2EQ-Zj6JO(Lqh%~HQiLWacpOx*;`F|DXZSvKvttM~2HTBC@z<^Y`;PriD
zKyyw5Vv$Jm@nb9qro;RcQ+CO<o+1rZY^38Pgt|1?l>)g-XHMGfc(ayOV?nN)uK;J&
zOAKYyz>onM1h$Mq_hs~@?imFV`IH5uR`U(R5R56(XALE2soR;Oj9)U@ei#lNcSUSR
zFRLol%C04Mbz4&Q1XW)(l)VMM;OnB%DU*BNq%%k1Tx|{rluvnCz`<c_l+r*6+$7Nz
z-E$s-bjGnoEE$<u6%_9aC(kELev#E^pC*mDMv9)B3)rm=EK0FwM!iO-mX;NK*Oksu
z7oRdUjEkC=d}<;2=jW{Xfnij+f3E+uj>@Aqfq_iiZ`UuHO)GE@Y32a~nIS;%vRPQQ
zPT<TBLG%(NAmRd_eYE7#<Nte8RaeX!D+EEf8^lVXUIdie)@B5R4M>P#9qVm;Tm7<R
z*LX~vasg&LME|=5HV*!Q!EJ}aH?b-y)6cJ;{YMfeN`8Zgc31OV<xmgK*iA3FsMDt4
z=!p{b%}8T)k_LXP-0^&_oMyokRQ98>R#Kj?_cY}k#<(jhF;3b^l9Ua8SJ9jiaEv+r
z8!z90EEWIU!x~^iA-WZ$4McijVPSmjJRc$z!8Dnf2{vjQFwn_?-c&9Oou&&$LNiMO
z0rBYMI?Lmx)lgNNLKmwFGE~JUadPTzW!PX-_xI1Fi~!dMy0u5r<qz^YB*xR5CL&G+
z1&h>-oJ{TJoa}6y@76xq62Q=?6&zU=Jom!a=MzG<N;^dzsdS%LfR^6qtzdnDFN5-!
zB<I!Xy667wydoWx?AP};h(Y=cFGv=Ig3Qg-y^*`){1)G@g14rorv9a6L1q{|!MrwD
zgF!+$>wC#P;OzP@28owl@o9|0QLqJ-q{3|-55xewno6bDu1P$v3fuJx9k9={frkzp
zw<x(+c!ptOsAp<`J6|mYE&>OEbSLq(c1EIo-uslN##fK`zm`7Dw0Xhd(i$v9jWGpR
za6wtwz=m#0vk`%9SXt}PRQB<T>6jc#>7QV1#T%Elj(22<>Q-CUYw$;q&f~7`FOs^5
zy%<Tm#KNn$5AsKb#qZy*C<ff@6(4(L0p7ckW`ZWpXTdJj(bl#Q_Y-=nn3qi2pnz?H
zB&;Xr9{e>+UrpiqI%{0qL>u12Dmi$Pz}2jF=O|^|FKaSkTVMa>{B3m+B;%gArR&TA
zLuzYh%AeC9TuetzMDAtPr@)i8-3EquJ6_sqIv*D$j_;vMZ(qHOUUujvHh9`DA(b@u
zLg7DReTDX~=n(DllA*GJA`0z{EOR&8yGMRiCqYcPV$&t-AA=wjXt^!jGIr-tIA`mf
z=jD|yu7CajZwh>_QVj&of++MV;Cqq*Q8^S>xfYR8QCD>C9?1Nujf{-E>0@y{=CfiS
z15os5r14U7y4~LQ#~1G7F*v@$F7LqSEPHGCeb7wh-k{zWLAk&K1(Rgni%>|b4QO=Z
zmfV<E>tW`~Z?M);iRZe2Mcgt^`dDCH98kLbt|fyz&GdlHOMK2b%AO2}P|%zdz{|Cq
zYPdku(}I+omXuNbXl=LURkx^7rqjzQXZu0F!+;{vMl$fRGuAk@+f9OViFEd7$ghEQ
zyOqCX1ThD|>#qfXug$vz5LoC{9vYaWuD@i7XK}YY1!8=?^!%c!-ZH_`>S#08N#>R3
z6iA>{a2{qT2;C#n)c2|orML!|;GynRy_eC}G*1Wrd05M`DI9BB$~M^`poHX&Hhp)t
z_^<q13V^rsH|A6=vMdSJ?U}B>9*w+^aC%;&KbrAY47$DKq_kpx_sH}u1^9$QT5}Tj
zpaC61Yg9-51Lr%D&wlm|R13)doi0eJkJT_GE~l}HEfQ7I)BxD>XdDhe!B;;U?_*w<
zvI(GJC!1pk`5G|5RtZp4E*mk!e?Cgv#Kz?CMn$E!anE5ZI;!}tCf=`~C-HlXT{Agq
zd=2yFWTH)-^kS7)0!*M~?E~D6*Qe5fULPRsG<U2Qx{Ab&<)<<(S{8p61yCEo*FIU#
zjNP4g;#qi!NUTQ%Up}LzYr$N&nO%q~i>7dnwm<0*sj(fZd?oTmBqeBRfC1~hIN+P|
zHxP)wu)wxk>aDX008GxGH2t#=A8X*7i7Z?_fagiCrRu47kzswo+gKH#%tt(aL&%3`
zY~Z~UDg5Nb4Y7HLmth;ZpvYBCNu|%v9sNx`&X$QVQQXQF9;&)j^X*t)XF;Q*%t*5!
zq<fbiOBXwj-Vy&XS5pWGsVj}mBS5qOQm?%AoGi273+(v}cW|9S((ZuQ6qCTa+TeT1
ze%0ti=ig>nGSco4^_>9B>CGD-r5nt4pR@kjn@5F2{q0*6CIuL*A=fj2RFsg=5<Ruv
z<pvXHJTP?vPzbDx9UoJ<BC|<*X)coptJxX_60e-<zle#zYc~?$Ww0ILrLxlM$%<!@
zc34VrF^b{$I$O}CHlk5R5+suPetwm+_MLs4U~W#Mh=+sVDAScU+mD`---KK+bA_mi
zwySKQ_t}H)_4Zf0xhtP7J84sz8@@ckq7%swN|#ou43r9P3fc@>XWERE(pn&qS>I*R
zwWRHi_H|^Mdu)+CSw@<GKEX=`S&=g^{$FXfcrwq$&?HRd;iz!%>kbvQ<L1%PRd<Oj
z%`51=ttcZ!o+3`m)jFlQXb7XfM!&(Zk&X)RMJMZogrtJN&Ed{M5vSj4RhL60yK6xc
za~cxFH#TWZ%sh*ildZTGFlGEtJ952VeDdmmX@;uvBXP&8N(KU%1fl&!3XS3hkml$k
zQ=DJxWe^9)qjlWm@;T<@h;S{=moNeg^lXOg9q!(Meg?#kOq&2xwfOuE0}F#Xo7YVE
zAMEwLgRd%$8hsfo3S>ot{eD)IA5-4PX^JPoIW9SbB)1x)|6Nu@oMOkzT0g9imh_c)
zinIKUB?AUyE0b@#>}V1JM08Fdid;d~6GV;!vF*S>1{rfOhXv||3jErLHgyjFy9{R$
zSlDpN-+F<C3^HL7!D{NI8e5?P7!X8$M|=aam*RY9eebZCt^B>zvZS3d@~|@8Z1~%$
z+@%xKIh-(0tTMk+x7A?0nFXWcs5sW>^;@rNO1YyMSBv0zMhh09AIL{sW@kXH&{*X=
zDhKk_9DV)Z($6hfjpQE|PlIphv!z4|?>Jpk<h{p6LusW&!{(d(uQ4(<Xsv{gX5#z$
zbj%Tl7%4+Hbxn<~b4PBC48Ko1K`I3GM}YSOXVbpn`c940v#!Z$!ulO?tS&k1I(D4w
zKHRr-sPXcy?w@2sWVhB5I<(*YH`IFcE`RI#+U#<|A^OKJTApiHy4oa6-l(}<!aUT#
z0yacNjprQ={{0o;qfzbDEsU73jL3_^g8{qczbHzwfWOZ_*8I|v;ZhL45~o9LfV=)b
z1`;&Y4NNmT#&}(tdx|qQOQ^|(PHl|dG_sN6qEA(QAJ)cjJ#|k79@?ecwapb52_-64
zS9qP;lx+YJjx<X*$+|20V?PT0=2gi4VwK3vdT|gcP`E<_*q@Za(>ThR>o2Qy6Xw-H
z`@_<Csu`e)st|63(8q;SAgx`$q!8ua1#~c<|In5!=Cr~qpc00c7<#6{zzQ@bN=8xM
zZEPANAdl~j2zQCbeignp?gBC==V5ez&7IkBmM|5u^K(zADGPcZ9^&Cx`c)<!%HHI{
zK$pVARWHC(PC~?o-;MrrKT^}VE_{9A4s(tfC8tRmcTGO5ra@lR!t@V{3;fIhJ_M)M
z*w(Pc$p2C}(qN=W57Lgim*g`%qnKh>%FU<)JZ)y4kz)91&Q*y3u}Oi^IQ#i>#G8qS
zOYN4AP>Yp621No0uYiN*_O?U6Dt-5Ss+H{ZRG+_s)TR=@{8+B1BJv8`Jv@vcS`7@Q
z5@e)M#LZdOp!C;zI!d3*t+bma%VXxAR%<$IBz>v|GR_xDfQScK26vv2;e@PZcEKcA
zk;9n{|Hra`uc@PGia^sY28I+feAL5yhRNT}>m;rE67i39(d~!jD{`nVylVXjhF9}0
z+-|yn^9D+EAVBk<2ATDAR$$s>3{|gRwzmC)`>x(SHH^rIgkZmEr$ESC8r4D!ai?XE
z;l3YpIhi6u6LoLg=+_n77|A};H}K3iH-s2TQrSW!>`3Td+-%MPuC7qZtJ2jEf@soR
zbig?+D%BX&VPk@09|fIKe=*)?hX0E|G+&qxREKGOu!;scIJVpKQGi$eSEfcsgwcKi
zzLA`x;nUcdj>NrL$_F{n$bGbYw{S7J=uq=i{r=F7u?~b0c`q^~YEO%UU?oNN5n0{2
z<2~|aH`mpnmKgPjQ*((9i|gRk5roTaY`NsgcyqD(h%G}6B(GpCAYH`8JQFT#&hLx?
zQR%%bz+(x_&gDb47kIO8^P&1|MW;F7*9$(Zb5$QSEWIW|qZ5ipBMw5pL6^Y?oJ^>~
zSHJ`_Mg@KPL)rX*dMl=x)ETPsNbbzCprXINJB|fjB3cIyE353n?d<NI(zdM1&c_33
zxf6q4FhLU$cl?}Q!nBn7yfAf8b4dQH9Q$UPkQPk<dAULY7?$}G({UkjLtdCg7JQNA
z)%@;3OsNnABXzBc<Z5m8BMhZ*FX;AvaKR#lxot-BVzy;~70^)mBHw`W#)WIA8p+O}
zNy(;XZEjV1(J3v`Th5o+d6cq40^5|;_|N08PhNS153(6drCm!R!RB`oBcqLay19EB
zoSGDa|0*f~PP?#d8U_LAOm=J;n5{qu^Py-X@R^j%$d)W5W~TcKxa#Njc5;+3_a-G|
z*x}_4^ngW^&)}HO)8)!<2n=0Z4s>*pAy0>iNr&S!_P6D%Z1Kh7jj?$fWTPgGgsIA9
z8SlOFK8dy+9g7%<HpSjcX^8zM_^(UjL!<#XM@F^)$&kX0)$HS7+I@Kij1!`T0&z|~
zL+dev{)Nky5ih^K7zOo&nsqxAPh^elVXVr*3H7%A$ii{9T=gZeN3IzvFNAVmX#?+J
z{F9~pb>0c`lry^R2R^$vL59f>lj3(ZANFa5#rH$mc}(4r;!XOFhE47%%l^fV9$zxO
z@XWsbCP;n4em!RXTNm3`?G{6GBkoNa(B_sR|9MUUiV{#|M5hgoiyOYY=UdvTmYfZ@
zym1^<;L=OI9W+t7B=TB?#fM7`U~M#%!j?w=4TboRXKYeQp;EKRO50G+h(SWkNK4x=
z2b+*vRbZF`QA|lmIeWSVEy&-)YJWp`1mnysE<%e#0nOv|N^tzcB%l;GF)=+Jb~!OB
zVpn4&G+qQeYBA{J?k-pd43Q4kOrxVqD*1+fH9m|w{cR~rO=&d-X^Z^F8b@u<WSeXD
z|IMJ-XD*r^=s7hIzIr{TQvB%$^kN%<9Vfk?&IL`5(R|m5#sT8{tQ5cT2pRy%ZW18S
z`@?BH{P#D9c2AL>M=)r8#nFH!x&huz4_fUQjrTmR@H2pqZDSCpZ+k(oQEO;34GH=4
zF*;V&f#eq9C(!HB)vCSJ_SY246NELgMsJ1*d-7mxvwp|Kv5}K@ulJcJu@792FeK~T
znKG#O#HZ(h#*$E&2@z95gGIZ?7UOMr?Uz8dIj|jqfu4Vt=O)<6#z-C@fa7&&xvjdd
z77lqC1i`Z`5dIJBqo?0e)T!n!$}pLg`xADhn;(Mwo@9=edv3T8p!X)<>bYT=d?8j4
z2>`GE*Y>SbSVcKa7=eh>NTH#VaIw|B!AeV)55bK)e5qwXGHu70^9p~{_lT1jf7>YV
z%7*A|vqKM3hUt1Fpy3RAkYd(+8}l(K_uryVuPu=W5Z+7?3e0ez<^-`9QeI%)R4YEA
zu{7=A`zrMZRf(Gs^P-E1xRo|={Uei&n79c5tA=!Y6}QFz*3?EsfOAsl630HW(8gDJ
z=V2^Rn96AM0zyRMtw1@GO)RAb2qq`#?kNP$CIfv0@swpn*U$x-34}1h3X(TfSd)-T
z{f_iOaqrOj*BqTr3i+;}PQBG^tnjxsOG7V?6n#B22R<4y`EFbO5()4{?u-9$scBH?
z2R6+sAw^O)*8Gc>@|9NN&4mV@rNVKL-tMHSc7?EHq149wE+2(s{Dh_50!%?}{B5Rt
zzfiW|+a02n>wJ&rkbZ_K$r(QA!7Xu%2^G64hq+%Sl&r4mzF+RU!qZBYYr^8TTlS1k
z*SKdN*nkGkg0(Blk(y1qLEPX)S~QRH^JsDF|0qn<=&wMh|A{bhHS7>Ub;m))#d#4o
z1Jy}LGxcd`>8yEw2~Yd}ZuwAkS!c1TbyC)lzJ17-HU6<7>{xpDdY+ZcHV<PhI+oz{
zcg5Tqu)}+2f##`4!zW>0kCZl@ff4WOSBM5Y2H?7VZAH-CIZF(jQ3o(_f=uPpB6o;?
zmdQWVyFoZh7!H|p_Zcv_n*wp6hWl!Z??P54!#|;hkrxadBBXuC{70T9<_!VY22#34
z7emzlDRwomkSrhS>53JB1s44a$eSS&%^2DGIAT=hcC;W8^#8vk7HBCcX(mDB0XZq(
z7za;}^~JMbgca^fzQJ#!GwAimb%_)@Hx9!ZSKi%uHN`MjjEAAuZDg5r>^!i&+WGjJ
zlK}{T;eU9>-jjeUQIRKbxPylS(-CB)Ij$ajLKX)4?U}iqY7A}S<o}Gybmm&znio*I
zm)NE!ZR}=JCT(`sDDG$OS|TB{Tu@z|-a^`2MLSt}(J1Os{=0GFY^Ocg(d%TW`7D;C
zYifp6C^I5SAPW7eX+?R-2*5)MX?Ft}cUuJs#`%my!qYFbt6Bd?n!_^tR@=hBB`($B
z42`XWLDR(;LziKp^5un93VtHLVq4B$SQU&r2P}<X?^{C6r+5h>*JUEDo-<Ut_Nt>8
z318%y{b|*^{~i?SW3LDg2NX4@aSE8W6~kn&zcl;{UUW<6YkGvhJm}0FBzCR<;5!fI
z@@9bWttcNbz^+X(oHpCnI*MjqXu^n=Xh;{u<<?B`N-j^;RK~h<JuvuXUJOO(kO$qu
zqU7}SP^2L468)NwG2m3dGIIp_5J_>v!kTMaG%CI|$AXgTu9QJU2Hr#sKbMVG05R(J
zcKM);_CqXCBr|2^klpy%3g^@K_L~rt6Gpnllo@aHt|6;_Q0QVjTCo=&H$Qp1-l#Nw
z_9eH_J#>Olne^FCuwG6e7gIHw$5kjIACpjJ>S#zxCE2}`{*VTWY@p*Do4tOOTh*KX
zm~1b3??UdpBDC10QxDj#?<We4i%S@Mxohy%#$f+A^|66zf3?0}rq<uDU41ttjMLPJ
zC~9GTYX4HPpbLsFcMOBrIAQU{$E(&aEj^m|Gjc1-q^lkYf7UN2LK-vFAPyZORsIC8
zIkZ@c!IQAYPoyYjozaMd19SHX_Vhx?EqRdLI9kTPckR*IKx$}6DuY|(tkY-zTDD2a
z&UlmR&#By5jiJy~sw^&RE$s*f6u54R&a?a^n2F<JgAF=c{J)ld;1K%P(*Mqxjt)sF
zY3`)W5E-hKlq<Y3?~-Xf2<z@z%<FgiBH4GQ5fGRaaeavmptP5bbLWUf`dWzNu}-}J
zwyaASNyF;49r+yW4Uhk!1uF`Hb|%KDgj+cw+6P>d;iXgwdsxo0h-h`i)w9PE`wcN2
zRLv2f$@aHuzef3b$-bYq#FPYiR``PMZ^ocZIaYa5vT(tj`kO$Jmq#-b0&muUXqJkX
z@_iImVA-LPf;cnV4f)8?NVn5)$d>d}!mf1Yv!&X~rDKjyN^RucyJL}THYt;@{U&O7
zQtlo`A{xtSL+=swNwW^0n?y*j^-OMk%Xw0kuc`iK^ZJcZl`FQJWh5zs40aO})V<S`
z7715pk?%;1inlq7V;S20l*gt4Bo6<%a^RF80^OZR520H;TemFukl?DsuY%}5Bt%45
zdCcz)#FYszrNoxUTwsC&I@Dh4Jg_LXBTz`?&>B77Dk<>q5xn(7Ui_Mp3qyJv_G<=P
zHJ}$J*Karr>}#Y8j1WX$<gXnQ3A0jchm-P&HMs9hftWcN_llAG<Pu#|&y?nM0?eg^
zMIi7{3`+-s<jxKWU-#*}&eC$Mh}w=Rm{c;}Ii%Q`U<molL@*npJE~+4c6?3=X2Zkc
zLOXrKL(jS+p(9*|9p#sod+R6*aq<%V2vG~mrup^Rcv;EHndPw}OlPN?rj{}89Mi_?
zTtk_pR%}<d?AbL;a>p6yg)3*RKl?M>56r35uyP|ttx`PO3uS*5uVL%<!+@V@Kh`MY
z!E(8b8Qgo>B4S9r^!D?*9T=}`tL&+%L<`F-(hL%qgs+80e@=9$+LM{DmA1-1nu`iU
z1Hm0>bxwrU`Y*EtlchuA9lv-avO_u4m1>DpnaICyz$ff?wfux$;41!GWOo3Cq_tjh
zy>f1}k5CdyTp~$`rI!+k7hGCG_!MZltKSefAb#L8B3ZUcbHLuS@~83K*CncK{tF8!
z>0%)VNQP8OU93x6i_3dC;pXTnubI$6rEv6qxGO)<Ym{o}0JODJcz$vRcGGhj9m`{s
zu_=-12O?P{n01*6wT5Y){kfR|uQI}Y3j8$^!E!efL7n0!re3+OE8i7ullrHATPxL9
zdibCG6@UMFAW_ACw2-r;8)1#hN_tjsrZ*}bYw6{~NN|dXiqo$lsNB5^5jY6Pz?e$;
z>jQKRSr)2>CWR<&NTTBWU{SG+x-S=oK7RGpFse%6GB8+7afv`#H_ZOx4r<eyuBr|G
z;inW4Sc|Xw%F0NWlW782x;cWs+O-$qeEbS>t2Wwtndxe~AAYQGw3XM6hG@GD=#^=>
z(=jvzCe+l>Jg&1Z3G!d8=9(kx>T0`cg~c;{5IljW&r(^I%9t{iUux>ig8Y$L5I8G(
zVHw|}(E%F2t517%mfiD%yv&+Dg~?Udi#cg9%b<smQx#}+kCy>v4-$-1NAbjuwWt-N
zFmZpI)ryZDvJf;bBYsARUNvagqe@@yknHP8X!t(GPO=Lvl2${|{6Nd(pzXzaKn1-%
zM-i$5tX&&EP#A1XSk^eLF^t;A00FMavtP=2mIXtd_MM-U{oi-9JDY2=&6nqUh``{I
z2EIcsbkr5S2{|55tec7NEOj&Jky8H`^bnkXt-SB$pBAIC*kERFl(MZHSE+S|3;JiP
zO<_Pi&z`{-Ny+Gb(+zq5(8-U*-2iPjwf!I^Mdrv3=S?;$|H1xrUa;{c;^0WF`@->^
zWpKcJ3hSuW6DTWBX_i5QBS(@1VMOB4ng16&>W`Ei4?+-D6J!mV##Tni%>-fV)V~!n
z{(BcFNF)G;(qnIB`9fb`lHTIjFwAV=9Wn-Oe#<1k>OLS=6WD05A0*{!qfKW%;x5|<
zh1p8Usi7<fq?uL8N418suk-C5@eYGT8v&<^YUSa(7W0ObNHu8Rx?Nnxd&BiLSMod1
zgRSw_&G&tswgrUuw8G{bIa~|F;cy=WlX!Q>uJ1f7a!T?>&{!~TrFpy>!{)83$Pt5X
z5o;9nyLz*6w4_Mb`&Ei-UCPDua2fdW^Be%9=+hyyRvjwWbg4B21=7efIRTVZgK-<F
zf7=f>eXDRWz>?s$g1o@a6|_2x@x5j7`8!tDdznEmhhb5*MuQ<W<K!rmr1D898?wv+
zrccSqRVtcWexJp(vZdPzCzoVTl#}uMQ0(%4IHCrPdZnfup?kNQO}q3~Xj|Hu|3P4j
z1P?jYA8NY%>@NJI-ec6>EK%e;w<k+T2695wmPDDT%XbzsEX5USK4Vo78h5g}0O?M4
zjHz*>=CL*--kAr33y%pY?SZb+ZD1OS5mD~V2%th~Zp+3h?KcNd*~D+?6d(5U5hF|i
zfFTuK?%Ji>@xG)$aT<Bs-r1qbB#P3gv!@dRtz4&6D9D~38t&TJ2(WMdiG9OFu2VsN
z`yiuYk|I)cE+>Az;Wi(QMvD3C-f%QjHqC{O6gkd4Ur6TJdunlrqV((I)T^lT3FcTz
z(XD2a0bzABnK3Z)j8}Kan<NAAbY>R(Up)V4qS)V=;3{6i<l>!S<;>><s?<f-P{vu-
zbcf|+P5B9>S(VKfbqqgGxf)7s$|oEV{k24(zaf(n)!&5-UR6g>u~f3&S(Pa-cN^In
zKIdxuR%zhmq<yPA)$M((9c6cSi@g+#Vx@uKC?yf`^%5Oo!Wq!;E|(w-;ZxiR&H@|#
ztyEET2!cPz(8wLJ9OY`FHrg^|dveN(SCMhsI%i0}L&c%E?BY%42*S`*(Wl&1l8S@_
zLuf+g8ujCuM-{AGn4hlwWbIUdNK;4R<~61AQm=%2*#-^NF6>Jwm_LVUgio#2bHa!m
zILmLAgDoDRwjQs4Tblkh^4ZO9mTHYvfvAMhNV%w_KYcdw)>_nTj07xw!1Z1$W$<Og
zB>>;2<AN|ddPO+)4NN(Tk-%ij{%fagD}Lk0AgfJlA=GX4wKU?eLHkixV+y|1pVFg<
z*WnP3&eLjJHTWg$=uH2Y(W+EAGxFws5Q6-Mi=3UxvN9wrPAHR%X6kA%$p?96DTRvs
z#B)#I=l~@hI#%4hs)iNe7A`bB<Imf@*F|!?LqV)wOhN)5z9hNRoh|i#I<EQteuDto
zkEuHwSn7cJKs?h`Mz*sJ^+~Y6n)ZO^&#E|lV7iI@(J2f*ObRbSK8V!u!4x7|Y7mzM
zwOw__Z(?ovIfe~IkxCFum(?b6rt0e__xJjvO}{>RRm1o=T}_5=#>vcOIx8c-2EUB#
zmSkz&h3iPE75XkwI4I$K)eb&x=5`6+tDFf-v-->uCq_kX@-CJlRp3`#DLK{7-q>;#
zuUhFwLfLX0u)sTaF%$rUR~lKE;*xF%z1;1^?tl9=r^9aLna~D1UUR7<tC3QsAxLBt
zz&$`gy6Ea=dtTRN`dCS_WFx~-_^%2B@hA(syG5FT6nTqpztHad8T?t<ay8!pUO4nC
zChk{cr)^U9vKJyw<fQ%k{xz|(92aADsc}1+{uCCY)qnqxB8u;iKqSNob3Aw&%JLL2
zcDMPXV$`3pgu+tGoZ@wV(2qqJG<V;q-f3Bn=tO{`w!Wta@-oDv%svA0>}=t29|ssT
z%D5TL44}`~&l_OW<?n8P+xE?0nyo98vs8tUra1F<+D@DS&8OOqtew}LAMf}M>eBtI
zC|^bqwdTj?H_RM=nsU<DkjTPMwXE4?GpucPhDL;%_jbPaLg$Cx$~yM8yEpg4ySEcN
z`Etmq{rCsY6dhdJwOA2!%jqv7Yzh)0WX&07W}LPgR@SL&gi<jW9xo`9uioz1M*f|7
zKWwFHY_6-WhS~6e#K@&_;BJ0Za_~KFT2PHFA~MhXWpA@tQhw82AHhHv_0FwW%*jFb
zX&~<s*Lq3C(E1?gExq)TOWyhOD#lLI*_jz04sZdg=!#ifD93(H-(~Xz_fx%a3svOT
zy!Thn&VSzFWOe9+5IOaxPOG3y)@Tb(Sai+y{%bFsl^8Ka7rSkQu3n5i>bW9w>#ru@
zgK+4Xd>E2?hYGVJ+7=UcX^)P`A&K7}mvlFPN6AUPW33ZVavh9coMF##MPomQ<|&jd
zraL0p84rci2~+D^14XlrO529@Ox76%YtvghN`K7hDn;Zn88F|A=Tb?rrg-M+I-IdL
z&qz3ohP&cqb0?#^%1l#Yilj8n$qJfTvU_<RR|ye7<1u+Zt^651U3|E21EIr^LdGdU
zB`nSKrPR-^u|A*f*rn+@+ln_;bRWiUFx22jo!ud)zKfBfcBaZ*NWmyN{^{0VHbQcJ
z4T2=0R~AU_;CEOoBougML&$GYJ~ki<eWnz#x^b;j&FUllAJ(YxO3~|eu7frEyTf%&
zb5@;^0=lJl&n7cF%X^o5>lONm2wTM@BusK9^MA<_KUfoB_HaFK&?u0q%Vf25trD0U
z%==}G%`wgoaF}=Ew(YNQ^q{TAMslevRt4)W&|w;OJvyAaOQxDKPwdmX0}23`Bd%Nd
z`4YrOo6QE(@>nB)aqVA|7$JQ;3%TnZ)gJ5c2V*m*tbr6!pRZG}Z^Ni=h!mSD*~RKi
zkljzc*!ZQ83od#`+x_UfZlx~0BhjvT`~wqjGhsQ)IsTUHLGh$gKu2Zu9n{H)iQ^Na
z8jgkyWK-gOzxE-HGxSq>D`N4rkIhAhNY};nB>n2I#($TAsW{EdO!kX@coOdG`xLIV
zQykxX;`d*c49!R2ir;2shIQ%$kIe^JVzOE4PR&k!&zO8(WnqzerPdy9`MVdZo4sRL
zL+Cw&_P1#G&r|Z$Wc}T8gEdQx7yiUqkmd;8O@CJ=1B5=({Q9tk?EX8iV!j~3Ra%9v
zi;QHKz9O#A%>UtuSM~CW0@46o(8tWBZkCqhS?ntJLyZb&?xK)|`J;uPoO>r@cHgk@
z)A>wUi>6Y-j)8Z81R6y%_PfvjnUCKNhB)MJ=vw;mQFC4`j!kQ3j`we0@~nG`+7j_;
zxX<vHU&}Acwsq=&%8Z7~daMn_Gxj9U-iPejp~2-R&!n}3mgDw_-9fG28sWc$`MtwR
zIfpoqFgW|qcTo{!2uK6!&xfHR9xIQg&qX}wb#~AcV=O6$n@c-tAU|8yJF&h&g~W8#
z`GDR8d5#p{dgf-RrOF@ItLSD>Ncy^9VfQqUBTpGpz7(U}q@Is7QnM~19pm3lPPC+#
zFL`tW`$TWPoIm61MG&S2BS--aBH$RmB+3qx#(#z|x588tVZQN;g*yIrMkp50V*j3S
z=39Ovh!}`~1fik5aoe}WD7vu60TB;u^MtiwN6Dqz-T~b2wp(-qRy%b)Eq<>-;6^m?
zv`wD!5n?QP_eWg_+(o%F!MdP%3N;Mf_qc?NKe=DwzIB;%(pjH+_N-pI9BxhY0_7^M
zdKb`Iz;+LyESWW3U?o~p=4fc4l~YQxGl~lvj5!S@`58t!W&PuVCn^jAUxFNckuUQr
zg6dNP2KZpo^dXIj&XTT}@q@P3DL=Q53o;MV8YPp+uJr_k;fb);hmrOuDwY}sZ&sZZ
ziKe+MDi&@_T6WyIZRKN&d%;mzcbM*MEIw!2bIw=R&PU~voPw#i?NL2mDR%!}5dE%v
zdJO(!x%!YVpY%BI2_b1<`hV;jnZ8$#nS{Wgr~Ji6+0#EPt@)O$vEoXaxF;($8Qz$;
zJ9T=e=@yzD78VG@0O`*sD>D9AI^@wzL^w_BuX8omf*+XQsf&?30^&-g3^~k^QDRC)
z?_)_;_e|OEeY}_HgBCcrYoHmyj;1P7$;v&pYX&QS8%Vdt=)~{q@!S&kb5X~a^#uAY
zV%muW_t=wlon&2zh3ia&SmUNXI8DpN=vA8JN4I2gq!C_?IQw-gervQlR8S%Bv$OP+
zKW$(?<+iDYVt0R5t7gY%=Q}1YOu~R2_viH{KjL7mueVdL1QLWHxC$D6FD`N@9QyLz
z*pnvRe{jp%Ma?nsEqgr7Zn$AXQs1rEE$DkX;YWQxNEL>MScbeHs&;9H@cu;3;gN_K
zU)<J_Zgb5;NT>C|n8BC9kp~(TM)hV&pPh`>on6td)#fOpGW<3>tchAyjtmMeGWZD)
z4GW=I`3WJS>UdWyKx-ev9I9v|X{~xSaY1GkPqvJd`%Z@|!(1QrHH4n`8rIm^#&X%r
zkwYa>3QgS!jizM!m)zuvuFe&@CB8PZr?E0Z_q2uIDj(UbjA<sZuttVk)q@n125Vwe
zhhc~|jMZo8MTjV?<Ie^JF0iRaN4XaNeq2|_;@;e9#fdi-B_&RJOLN5r$r@B<UZJ)w
zSFidd+Q@&I-xNC93z8h2P<#IjC&MLD=g4N4kIc^k3(tI1s<g-&_zG|GbsPG*N&`qa
ztZwtE1*6uiYr!<LO!<oa*PHW^M*DSqaXC-A$AgoO9{$L#$mD48PIsRc=Jal#T%Lc$
zKx4IplC!FfAK(jqSi4Mzv3Bt4pkp1A%*rU@ff^WEWsEgvj1p?n-VJ!%JNcy1i!Q}X
z+JpYpBJOZu{TT`nDKuc%lh&i8Ek1=MZy$NOsD}Yf#0}1Td0b+06?y9fWm4fK7)Lrk
zz8m@p5~_As{xBnHl=m%HrS%q%2U|N%j2hQPBNd8lbXtSL#hGslXOeA~I2rpGW>{1+
zvngjss(g296oI`qZ&Y_pL-^@0l~`-FOeR>pZ>f$xf;M9~<~m)seOF=l9he&ZR(x9n
z3aFrDOBEj<oO7wh&PXnr;d^ox8R%yR5UiqfZUeJ!cuOeg-_EMT45_&CW~&c*7hSj(
z>gGo!rq7;X&ezUjy$Bk=nWdAtvT&CiqV{w1COS(^OGAr0M2l-qY7gD9UaCN*m(@&h
zsB4qvAm;E)Z0(oy>ES2+j<*zLqD<|Cd?JrC&006R#$;0l&cmF3c@Y0soM|=k?@Tki
zw;?}aBHZRI^$UB?zv>MWBG-VDN&@qj(b0{v^W;eL>_vI=*~jG<K#lC148vx1?@2eT
zZ24if>kz@u_-1s~nTA$ue+$+Nr8#n?xisBh>e;LCfZxreYS8PqHybTN;n;W3atJ$!
zBkm~Bj?I2%*}lCk1-)+T&3JypO^9DC2%g3LG;epXcSO=i*6Yr)Z$@k7v1MDCa>Gb1
zi;WRZa9|=v`S$wvV6lzz-E;O|{1UrG8hXiNkdC9N^n80%Cr^aSed1W>;;AZrUhAb8
zv@#=xR);Hp<{#@idy8qe?sC-i7zc3W?3K(-pYY{>?bDnDD)`P(f|8g2kY}bO|K(%R
z0Zn}I-Cj%9F8lR7S9Byl5!6)~l|;V7Wct3wNL_4yj9(qVCoJ~%WSSx699qF141D4|
zMy_bM2s--~AK%c>3-wXE^+*!|b<)T}sT6C(YlMX>5<y_t;`!q;3hGw>nuhTC<S(dQ
zhr7Pv)|l&o&VdKV1KnoN${1LmSG4o?9|>g`%LJ0aWAw&h#PDLpP*;R69?Oz$ovEjx
zQN5llo$yiMkgeJ1whTlK#X&gg6*~Ux9^G<UGt0T<y{1Io_wEq5itib-v0NA<;^1LK
zsNHe0yXm*3w#!^2VP}F-xBL`Yzm=F_rw1zP0O2HiyTqa~cD_0WkD9r&+-y;qqFYKo
zQoP4&KwK8yjqkL6Za}(vG^CblU3#*m9eDQErgps^{kEeS&!d9&V=Cv`fWc;rJk~mU
zvV5{VeJH>PH1)n=r&)*}t98!tgDq=m0hAfk8VylLnJ03G0M?gyAo&;=%Xy73RUsFz
z5mJi5hmAft2{lH-3!fy`CFY#?Uf*<_V#clqPV*sXBiW571Q0hPPw7)&<lSNHXrg4U
zg2ho4I5}i^i7IaAb+X!$Fy?nk*-xJK@9K;Tx=#ZRB=lyEZ8P#+NY|JDG>2kAtgW|%
zOw;GGc}u2HkH7q^KFKlgU6`gH?cwW+?Vnn?(RN?sCcIlpzNQB?7g+XO3BvS349Y7O
z2{XfXh!j$5dv^tO>s^-0oHA%Zn-OFWM1}p1GA8;J-~6VItL)8X#_wukSzKGi_V3Z^
za~qPr{*xA&Euye4yf^eo*qju;RLV>m$!>|$lD88!qzTkFZ!kr}ulc~AK-g7&+s(dt
ze-sD1(`|K^BFb;v05ewzt2A?xytcF5KzesjH{140H-px(g%Rq;GyZP1Ol9~B+{GQ)
z_cHWWh@CwzE}gTs@cK~Fsa!`*e|_^e`C7QFdl)NeUq`K5@O@?mX7p?6&P10b(nuDp
zQHk_pbf;6tW6dZfapGHmw+xwxm*^-z`S7r|te`g%jjcgFSfdOfgNtQbR(E@0wW9V|
zO24(6_!GPH4d2jOwBYx-C~r@<AwY#j&T!Nd+3aCyb`?5?sw$Z!R8evYVbmN!dwfw8
zQSi-Yj!F<hBLoT(`0l}9wFZn=z_X^2Q-V+mA(KA$F=Z<gq)BLcFJaQCv`?k4a5EDT
zqAP4=AqYqzm|WnCzQQVgutSF>t9Eb$^El$ej7vfCU$^5{vjExBji<AHr4I7-d*K)I
z1ILZQt1-inU+;*c+$Hv&GgGR&HRO=YlEiOdCWn+MG`kW7*HOuKh>$+#2Aj5wBeeoo
z`ZWf}mmDTtYw;ez#?7)jnK6CZxbtf7gt-*!#9R;d`Bai3D^g{-1-_F%x$Rw!HNZg}
z#7<1nE%k>iM`+wx7^aGu2>faplLRO_kk3O~{r#~|4Tv~5q+Mgs#JtL2Q(gWRo4#kv
zjAWCLj=71HM~ppX5YoI3MMAYkw$xFqv#Fj$=QP*Z<3WLWNbo|vwt1>+x6{zp4bRiC
z^j@}r1j`sCZki~nT7rV&_;<6~@PeuEQN(*c<pmcxtL`MrFt<YoA8P$kmJ2ggSDtyE
z>n?Tp2GHE{6yGs?&Kb(5=?^}Zk##Zcv*{lS3pGl=Go4}d{ZpsUI!SM8F4EKg7JD;!
zI+w0Q%zM0s(+CICvFW;a5ybdjU*HBw2fVW_TdO<osj?g@C7%<L@u2e<^~Dg?oe4!i
zkP@^d<fmPGCYUCl)$^iW%bM&Xoq`=>s6?d7Gd}K2Dy)UG5ZU9XwJ*JtQKqBWKLfBa
zPF+Ko>q+m%Fb1nMsYCEB_0nsmWGDs3u=9$~K#X7gIRfjyfb_8Bvo=8xP3J>qIDI-T
z!$P2lO$j)gIQ_Lt3My^!%TcrGQ?UGZEgl+PnDkH{58Y1V|Ggc)HfTLRF{@WSjjOB4
z7Xni6-fZ1y1|1ov)c3D`uXr{$ch$h?prdHB0Lua|XyHVIDsFF{XN3F~2al6+b5+d*
z_2FXP>iWRTp{kKnt~Dx3@5s@_(4S^MJXu<cIv;(>eNwp5hF*<-2PZbKu6Xx5*e}?k
zH-@x3e<zg+7BQ0?mmFf^il~%Se=pFhi{5q#TWZjiYx{H*l(fcBS5Y%5#{Y)o9R12l
z(&PQ*hkT6XbuE5tKE~H2e5|0k%LmssPe{;L)g{@@I=ymc1ktcVe7DL40j#A)F9v#D
zzs0zF4UvJ?yBw<f{wUl$L?Ja(pHi6vrI4D0fhij4=F#2XR^yv3LWd)T`x9M>Oal9;
zu<T5gHP#sFkGy6UeFJBhplVN_Lj5viIR%xCmPshMB|`o5uqk6OrNtE&7O>aVOcIuD
zY0=<1e2#ssWAesjDF+TSq7h#7WgsL(O-p?@jW81C*4GX;lKPu#vlNqDVd7((!O}t?
zzWAeZ)e$x-X~YzNBZqQzXEG}pVm2F8+vJwl`6MsUzuK&VM>}A1;VdjqB&YI(@(sW@
z`<OAbiIyE%_T$yx-ZxvKDux~HaAvKD!=P#81cD%e%!Murf6s*Sj!9Gb3QQrtjIBoQ
zA(Su?tx)D9MCLnbywqHYZ77*vcR#ncY&u<CO8PjmzbupG%ycpn?p<$XhFv#1IN)=C
z@(32#QA6;4`elGyi7n1K35H-Oq)m(@D(gDabQKSr`I7Ol$_%lKCL%7|q0!$w<@>WK
zdHtQShVX*R%8VMZo5peL=awQF{)X>-)}_<Q#WIpPdWS70_0I%dpHfhII|fRdbePqK
zX*r(-mt>QP|I&1(laV03tC<A$)Mcwq)y*8rR;*-3SaYJs)7}R40<Nxu*)lZ+b>H4!
zQ)Ch8=%Ze>4(?NNCC7%p>=6++t*DveDM_~7%CWiS{@IxXKMwu`n>k2l3>~CJwD=hi
ze$TdbyL{7p!GDUg+BMh29Q<8dUF%zHFvWF#(i7h?e)<-5*gSXt{7tH4qfHWJO*P$z
z(WsS&(sFeQr_$ld*Q3LYS#B5|M;&t$3;rV2p{4Foj5fUY15&qjizYvULY__O@RzXI
zAlY^ShqmpFk7rP5?|0d`^Pq$FIb#&^>~+~!9dYN1`tNfKKeOPhU$WX~vrwZ(wfB|d
zzD_d~DB35+Ed@j=z5Nzy5+$1>wePu^8&clt_>@ZK@2>;YN;k1mw>dHUM!kx2TUm6E
z(vj!R_kVI)>zimR?{wpA7{YE->KP8)(;~9iQ5SmE-FA21>4yK@cG9R!z-Q)<J9d&$
zboLSwU7eHlyx$DD(QzV-UZ``TaF1#8s2xpJ4J#(>=)i>_YmUo3qeJ00y69aEp__Ul
z+4z^M9Qqd`HMK?^s(%VMV3oa22ByEEzwHHY@sOy|k*1&Xp7V0&jhj=rh=KG+vVg%M
z78>}RV(EP$)kkb6scnJV9dCVMnvt!yiDl~}5^gB!b4CR14oXHoKTGfpHN#ObKL56)
zbR^VM+i<L?ZI{1u9L4jt6h``{W*y->(KLVv__Wd0BJ@giNm=5iO%?JxRvNGDzOUM*
z`BQu9EPS_BnGX{aPRRJVlP9+(5A|(toi7Y0D%5>Y-ddk<vi%)B2H%;7hAb2(vqn6z
z)MSpV9ZX_cIwcx=N`8M(bm{m~K_FyKfz+%>GfqpQz+YNr@ND_%Lh!j5*+A=7M&G`*
z(L15~3g=(jp0CwU>?`~pn!g_0jPH6QW#N>(TuK8AzNYxr%IJt|Lpi$0|I3kKQi9ln
zOQ%0+WM_mYeZF!yH|E>3HuEjS3m037=0`=Q?(v?iV)Px(*@=C_td}EpNl8k!>hDs;
z`{Y=@er=LF4SvKh6nT%i;g)S%EPEH+U?8L7w8<wy=B>M}(C1e%&*6Nr+G3{C^3gxK
z3dB3KX<m-6-TzRl%y}O{%uZtyxS8x@V>c?*4_BUezuHRIm)TBbaCeKH(NHXrEtI?I
zru181`@?9%7YYNMLm$~BzDOo{;Ce6GD9<8=sa{VBn!MH`^fkGql96@SlVR$?j@m|*
zK4k>?K0ON|%c)+~%UuRKDSW!?I8N`IG|}<*#S6^8J=SBKQE-;8xyQxLeVq#z{PlTM
zn~-K93uA4tc|=7!Z#y5lgR%FJKS@aQM<Mml*zE34f8T<R(>K^CI^yis;&GpkdVe2q
zM2Z}I_dS{*<bxcp`Q67MnkNcSZbA{BCh<eV53{KT*j+E*5TCf{Z;c_spDNry4>^z&
zpMICoWb~s+xRGDsDO-OcK{dCxC2QpGKhkb7HLrQj_8L9P;IWqu_4oLDFYd3FOrf2^
z+r3I~E$d~u1n(T!HCtJ&B11lS)AN4d?ih6x&P7npAfl^u{IUEB6Zy_RU+l8}ddOO@
zsD@1Wu}V@p_<duIdR6+hqp{yM)_*%)q0RTmKP9c1zc$eAA4fjVg?lQMT4ebGlL<F9
z&S9yk+M7xoe(ZzYW~IWkBt`)$FnJe=X?W=A^5g~5e0l2mX)i1|;b!pm;g;Ft>F0L(
z_I}a77~y@<$-;H1O5%pV&VA4Pd2;UP{$CXYGtDclLQFsT>FB>uHe|UEUemm(+jOFQ
zP*To9IbVu5xL3tS)!zS)$}U&yh2?@7{ICa<3yc*xO{J{q=1i3HcU6<`tbRGNA5fC?
zMdkO`KVD~~iAJpk4=WjL$(ni#a=&3of9QhKh)vhoJ8|N4-4f>ZQvGLw^)9azDs$d*
zteQUM4)u8LhROxxwE;dWGuOuPXWI|3D1m5scFyeYeO?JO22><^0+P7g6TN%fRi=Vf
z3*-^p^jWvbIsUFkDJiBWGk>BZ;Wd8+VaNA*tl0BeR4VD2#+hkyeVfuxrr*z*;2H8y
z4QnJPvLw0G9%FPbVxFJ(#z-bf;qjphvmjf=m!`=A4;17F8*fCWmU8wmd<Fl%U8U4Q
z7w&)L@w4yR_=@SLJ~_WU><We*0ZR}OBJ4444vOVu$oqWvp`2D%vzWvQv0ayJ-wDd)
z^v8~n$-?8E6HPZ0bR}eMLAX}W|5jEnUIi)$eU4c7R-Fl{+OJ-S-7w1Tw|%!vCb#`2
z)teGO-<vY9Gw+<TgRedR+{p4{04x(~8d2K+iQx@BDXu+VD%Zhcs~PLJ;E`1XnU_pu
zdm8zaolIj+lz~=$q*bWWmS`K<Gt!yQNBn;PwLnV0#EbL-a}Idnh1+=Ll?P1^MVeRU
zyw>Y5<je4GpOQbNe5U8HzU5r=GaThB6q0b+JKm&i!D)ulf)VLm*A1=QyCLQc?{Z|5
zkVg@l9Hts$xp)a`3zrwhvhH}<X&>gi?^*X%pX>8w1X8IxYn}Qsu`Miql5bUCd&zpF
zCQIuwkq(*6(FjDB^j)%*0CXN=6J-6r?|c!dcX&Z5v@RPLK`7d$EQSJ1BtBTN;=JrV
zo`3cL&l-{V#9}i9&RKZ89<f@F&DF<R7%qE{jS72y?csW!JcNXf#7tH><j_X7XzZM0
z;?OzA1RCX@YN7Bt%)6N#^!`j<UYze@J>n7NH#|xC4cD7Sm~urL0u^!SB!`_48H!+}
zNj#s6d9rfKK)!L<W95?4#|lg=KSL`v`2jIM)gc1DwPA}Z7!s#GMDhX)K+I+KN!x&r
z^iv{b<k#tlw10%lyd|yN<#LA{LK)?_J};rLmDgniVpJjG>YBP8s6DrVOHI6Gp*$xq
z%CyQ)tNzJ@swX9}_vkBPk(5c_Irg}u)oH%2A`8wcJ6D?#_a1F<|7cTq<=!~x@!ZV?
zZr@y7io)WYyYP*2$T%vMxc$BK$WW^D@##LLo>={@KQ{}RuAn{w8qTW!)OQz#zLXV_
z!nd-Q!>MYkjnjm0Cyxj}d%Y$nW0ah)l=EprI}vAZl}+9$oEKCYGD?%QlG{=ilFq$;
zo$oIhGwJ`lBc@OF&2ozu36eqJ*fWwAbi^p6@>2hlgy|$@Q=QR9Ux#X;ZIS1q2~p^-
zE<DR%c+yeqzMOT?T84O+QVM7S@hS~?(l0Jz0~~_hXeljhq|k1P)Y%N7*cF);{36Q5
zGW|J~Rm~|pf9QFpTx3lijKJJ(XS1ID)x5KpXQjKi1(g`Va~pY_t#im~oqEMPWLqOe
z<1Kp$Po~d0x81JIb+n$t*D0d7^_vjE9+%wyO3%1R?DCGRiOI=M;5*1ndd5ZRl6AxY
z)lH#4DjhOKAt7(Rl*S5;n>i0$En~D!=Y478jR6SWBgB9{IxPAQAq1>8$>x4|yg9S?
z<de9VXda3N0Le)E!h;pQ@Nmt8>|oL1&h4cUiBA~DP;Q!XydIn3!QML@F3Q~{#}IhO
zW?HqYMMMaZS8m8`3yIH~K$C}{YeUSde^b$u5)@Cp4$qRDRyL4H;mHq<HXNqB9%O@z
zId8-4+>``7z{aR9E4_nOlBiAqnUK5cAMZY$-|>a#pTTRdJz|4>E{tOgDWQ1Cr01Nn
zSbxTjYjTA(yeOL#rPT4H(wSNT8S}CV3ZxKhARqwQJCf?1HY%YNNUcB7k-B~6Ca+1U
zxlyFO8b#j=^h;Kj@_$>8E7Fma21@YW5$U7yDLN;M0K*vANLlnAw{I+P`(}@u%bpE^
zdIfv#9iJxb+9;<cBuVj%TduoEbx4PBQ6F$>TmUGAMe*DG7g8qbPp9>QovSA*8`RkI
zfOzlb1qJ?0hO$rIxy!t>CV8sp&^96x-|)s;c;%G`X}9tyUVocm%prCvS$USpLrCpJ
zn;4}sr(HlxuTrX`{o8CZMxETNmWQ55<-E918<gJr6mpyw7&?!fb5=sTJLSdPd%*ka
zyF;VFaFx(eGnD^uH5b0D2*ktX#d+oL1LwATD4rFZe~rS96+x)OlJ}jX`kBz<S{9vl
z5$|zEAIzoUXy&5Kl6$Dq*KEd=lE}^IMPzeuUPIcHr}tOxSypVW(;^<jbZ&3`W}nS<
zE(6=r7V+mfGE=vCi`cB%aaVrBX8nTfR#`|Kvu#DHnbr#yYLg(c_foxHe0|Q5^Rz&D
z+C1UAU>=Hwb7PK3eE!)3+`iF2^+xHFju_L<Qgz<LTDUovHZqa0We>!NRaW3We}9<d
zo}mfJx#YzaT^5>7$U`x{6iJf3a>VPUEog~U)5PI&;ZJQar$pT8Jsupb@$e*h98%7U
zB1}0#jK*Z!bNOkLjGB}oV>5ZM(XPvyB#_;xOVZFWX-JC7B7fE)IL-ktyzvJ7IGjpB
zZ7K|!fNT&dp}r<0Ps}l-@YQh)ifGUtgZgta;#<m$<f{Q<3^E~8eYa3ElzAqndZs#t
zqluFGo97&2M0CKp><L=lKB@vll~<D9jr<{FNaq6AfsifaS*pp*lJra;m=LAa<sI#)
zNe<mceBMcJp3Xab;o-Wd7dlU*Pmz1a=R9jvZ>*$Ah&J{4l;2V|bI|qbP(MS6r>j~`
z<>y~ekn$`+smIS2!)t16IhL2I)YU`h-c4Pd`vvvaAq0SZ@KQ$%&>=$f4zyYimVNDK
z2pcX+K9SwvF{PFL7?C#I+Jvo&?<zXH_F!G)p`tpf(f1xbfP<}V1olQGZq8FpIU0km
zTttD$vlQZl?4=N}8OQ8#6GhG-il?V{dAH4^D^Zx`S)mOiT2SCcC+FaKOlD6ZPa9yR
z&jnH0sr;6nWP#~xh9?6drYMo4^@x*I`un)Umme22S-9Ck8ty|%knAW(!o0ZCt7DHd
zN85#@N2z{8_Z>5#slh2JcwUjkr#aBZ7-<*fRA0*lrCCZ^1ntzj8A8*epFJz9<Cg{U
z>}xEMpBwvlM=~*~NXUK3OnOGE{mxZxAm^;li^M^6p9os~L@^(FpTqRKG{;gzRfsM-
z+eFc`7wI?4#r}B@3*E8m<8!-l?@B>)k#(mDS*pZ<n4;5^o&SF^LeX#*3}e6-9<K44
z5s6O>#N)0EU2Yj?i{2OEScu4pWk<Yve>K@`g;r-c@0@e&b*RI6SwQE>l^B)~Db!-x
zZ-~sSH%d8evijtCnQ|I(nDTnSYE7YOp&+j`aY*?FW#tR%U6WBw#=irREcDi*Otg~Y
zQwa7_g-4Lr&Sfff7afucBu^kxcvIM84zZ!lN>~9-tH82)SB5?6MA$SR#we40^3sYW
znUUX#nGYgTs2%f7B9}E2fgu*^R^H}g^0{^gOXX4F&z^{7pOc=K9$G|py4Jm_4+W8$
ziOQtFNZF~s#Rv>Ts!uvkE4Y+bjqaH|^HrS}&!l&z>XVYTJScM&t7}|wO;WIw#~Rgz
zI#2f?B9n<FUy>a}{ML%NCM0(emaX#_iHjyE0g<Z{Wpf|JGB1=QgDHobg=CbalnkZE
z-u#P+Oe@J@8H3_6kQYr5(?&TFw67BYq_C?Hp`Tih6a9H~9!JNU=0XW6x#jM|`{f%v
zja&^eCc+}`!hF0Qaj+=oo<;9*^Pt1wvd2N6>PBzeGzMg&HT_K<;`wtxL6nY-HYNir
zusn=tIA5I_EW1#Jp7}CgCy|wsr;+khriDF9)8KttSnxCB&R{qzhEZ~MA7>B5X}D<_
zzI?ds&b6u0<3J#?kiw2b`m71WeK&Y>M0z#63ibEvHWn`<J<4W`Sgi+%m{RFDB&0iL
zJ;}r8JUujr)LwC|DoZ*pFc-qT4|auZv%a(Mb&siSFT;Ky?Bg9tb7a)>r6Mzj5GD1B
z8c($ON%NfmUT7no6iDN5y&1BNIQ<=y&73FHBZP?K)qvI7!5<H5v317FQnfGXHVfx)
zaLReKP7Sn+jHIX=+T2v9Y8i%5?CL$n>B2H$aRDhBj8J@?VHg8meXz!BkJh{jbhu1J
z;xmUvBwi<w0;V@kX{}at-W6fX>9-Lln-O1lxW=YI9u8wHgj<YL*J%38f-qk<A`7#z
zEQ@oFlQb7QEceqL_2xijTW!*A%J+{`xH5&m6k*B}(lC9X@{;G35LoJ63!((c3&&~i
zkkXLVyG3i#aCyc&j*k;5j|lBZ7I<ee`mT35W}<5gymwf7hh_dgyR&hpj8tj|=h`9N
zGe$T~o?^_4M<uOLrgy|nkIMAf@n=UJntne5L-p=%@}Uj=Gl!&H5ILm{{SJA|IbhfX
ztjCbNGO|Jg=djEQjm}334wjYYIYb0V*nP;JYwX@x5V5Kb@^`v(P(*Ny`kZ1%o%qC+
z6%s2VQk`ubceF}66IKgXTw4>EOrWsBScZVexhWx{6}nlXlG+ZX=c|71X+Q>|2K8&o
zO*jCEqj+>{#hH*4-7f!L_wVGdSLeO*#e1c4%#oTiCExZ|{2o#s@?=2vOwM(?9x;xQ
z<!F)<LS`lMstSv07+I$wwPK7MHu-2Z;AAx=E)s#*<K{t!n+HA5o0kDvU>SKg$Rxi8
zMNp1o<eX5lIgIkYh;p9VQM@7mAZE7r{Fob)dea>59DFAp;*>{L=a8k)c$!nU<?1rM
z^XWp2$*|S=4_o2OUFUIA5s24u_fsIf&uWuWkQ}c@eD=Wx_wOHL$evPq-kJlY|Cx}4
zIbFnJkDZX8Hs~-_o!4-k=f)ZiV4a)t8Xj<t!}&%0)22t!`f1@=*;*tD5n=bT-rkt=
ziqtZ6Hq5ng?kf7zzGNklW_nYcRg5{8eQN*CJ9NvAuLn{cQJR%SpT?4N4#O}q0e!Lw
z7!`r&J+R0TW-07n@}biry+*75oflg7Y|e$%yx3ZRCtVbz2hw75&J`JBvh5e0L+^dl
zCMq|<%jBmKiiUk*MB?>E2$45U(V@#Vyh|Q&hk5dJ5I6mMN1F+G7_yfI8RaB1lK?L7
z%^q9%IIkW7sOL-X9S-_wxbnWM$&@eWcs-`wl#e%flvl0E(2g;=Wg~#gK%}8Ic!;bb
zZ!_XVJR+P*x=#eh#49HMUG^S_3y<ZppLiQybuN_})UKl<1m_6D)4I%SZ_K_+9xHm6
zWB#7cUxn=0l?c0)2S_W5;~3b>i^FAhZ8%YVMtxig$K@Ln1J7h2c`%JZeh`67vZM)~
zLM!Q<CbL)x;XWUk@Jfo2c-^)fGo!j|WLC8#D(RY9!J3e(svfkAAZ0ru6UK-t=W(18
zl>B*rw1`W$2T@6%$zyYlw1ko;8Z9r$LfLcRz7_!{fq0kAOd?U(u9Tx9Ve|K{liY-L
zNZUmip)F5>eez}1hF2@x$+@Isgkj+Oj)6#pvw4KH3@0G1(vv5{dI-|Ta(gd2hZ_ey
zZXG5PaoKzJ#Jg<ym5i%I`Ysn2bI<l-OEM_NyeY##<m8yWD9Pi2ycHVlN8_JK%hu$7
zN@)2deY+fwlzzce9!fPY(;QuIbamETTZW4Vk@%WGY#HPSi>}CjxH!dP^JODs5_Gjr
z-pt4AfaBGGlTE;S7<ueC0R5uJFbrAFi1FW3jy2MkD$hbDg;XDnk;d%RdaPY0$lG3T
zibA2qtq3c^KAWQKgR4l7(u_=~uAB8@zo5k-U`kqTB_Un8u-Db37cZ`!t{%^l-w=?r
zSi1cW7O52}UDrvrA!~d2VBz6hvQPDn%X1Dcb(`)L>K&?nP?OK<KE*R;=2W`ZSkKWx
z^s;SBz%<Wt-sbFexuAU4`E%#pWOJSF0tiLhl;tT06NwMkEVyrEBJq|HiB|$mrjbBg
zZKin-fuw+?u#YtOLtZIeZN`E;B=3+R$OaBXM%3h?UQwmIZ83W}wEDw&ybeQ1-iD7(
z20S?4;L-7bqxFE3wRqxe^ET9mzV?))vn)huqC*ufnsZPQVbkYOa7wydlZIEbng=}p
z{4@C6=O3g{nIIm6<JkUw+9cTIDWx}snRpbc@2^L>K$CT?FieP)#)>t26p^P<q~y-Y
zSfF$R!>B1eq}5gLWgMa;DRaRpPeVS;gJGZ6()Vy4yt}m+-f0}sary-jUy&Z@s)uWW
zvht9mueBQFKs)n7E-Kza>WSVt5p|N|Gmxh#lSeK;Iz6Amb@iPy<45FUdTcB{r+TMQ
z`BYNzZf=!J6ES6-IrUh594JFm#j8MtswxG)m9MfzXznIFr^lzO-)A5DS}Bh)rcGJy
zKFm3fN+o^H8+jW^NzWKVEOwx-#i4hQ4P!dTb=bmIuSk7d8(VWm*g1@@tHd@B9$EmQ
zMXDn7JAjXcAjS}T_UJi%PQIN1+ZPPV{_HuwvC3E3_}B8B)Ei#a<MC-Bdrk`)e~EM(
zaeN}-%X*H10}ivkc(_b|JNB3nIU3^@xvIWH^&d3O^EJgBSuX78ynDkqa!MCU<D#P;
zxI7sSBA*WrdJMx@jPsT!`?kIb`mBCKp8<W3De2P;pWSx6(YG(U@3y?nh(xR%9W=<>
ztR{}0gy^4(M3HZ@wW!x1A-8!}ZX;^XgIO=h+`;Ryro)t5ecd@%kcFB+?z}6!gLm1>
zr^$QxI6-<3@6f&(u^vPA#Ee+y6jMd?UHYMtk+KlYI$PG`DL*<b#+?Oy=kRr3`Qo|W
z^GXQCU-*Sz!290!J^;Wk|MD;6?QehkseW&S;%;n)fL9-^aPQGZh{S_F5s3$ncUQF6
zGbn^thb^CM#wH=ucV0XXUGgT}<W(5G+Dj8RAIb)PS|JtkkQ6Dc^svi#L+E(#CdA=E
z7V5j+am>WwgX0Yz91Xmi@+$9A8$!$5Fc#iQ$sjHjGCc`#E=N|1B+RPbL78^1UeNAs
zIRW!kk!92mHlySN*$k4KaCxx6!$&8lGO}n@sqh+XeSb`zI0iwC5l5>L_a3eB;Am6i
zF1dNw<C%jVhfB}l#uFtm0wF76ddJ%_A1^k)*~6m}m6DQ<P+1}0D^k#@>!x&Hc`|K=
zlaw1)dWg966_Lk3Zhw|>kV-&{2jydhkaR?1?$b690tFCHEZWF~+9R{55?+du5Y)V>
zlp^v@$y5(4y9z~GjLa#aT6$n}IGr|5^*z+*^P(hTq^vE{a%av<@9_McTX^lYqpkPZ
zC6_`-iuc3SfTNQX#yn;Zc52IHlz1HU9*e$1-g9hr0iY%+FB-McMekdCinNZOH{|=e
zU>8ZuGOh71RG&jEJv3r&d`(CR*;ILq?}0f(7p>!JZ0a`Bn^}1PK8N$uf`kKP;gjy;
z%LNPZq)Hb}NHdb%7eKPL?y1k~?~{CH4gHlo^cKB%P(QBTT6lre7%vv~rZS%9NDY!x
z;^71I-lwo+FZ%VZTL(BgS`~9=*(b|IruJu4gh5sBlX*b;A-43%bly#VQ;?XNXsqSb
zmW2}P&z#d&Z7j3P+mLe8Ei2OKN!(=TNx-S14Ah*sE$6e`TOxa8p(%1?Mhgy5wp!`H
zK(dp10p|c5C0ecS=e*l{-mK}yLE3Ees^-b2jaPl%#}TCS;!#+57xupC@Szu7Ya4=&
z)$Q5xxO5))s<(adx$5Athdh7slb^)T{oK#t=FOWpIy!pXkALbxMB;0YHmoSz%tYc%
zBN8tiY2%PG?_n$SgF=QEv<er2%@}a933zxi@O3)>9gqZNj1gVuvX@}KE-OzV#=L`7
z68e-!kU+`=tq5x3aM#36ZtExO5%-TacyPSIQO;3C<QNGqtw14{rBHA>3O^79Ny;bJ
zcHU>=3=nU_q}WmDckOL>6=Arv`lN}%jZW0PWd}d!fPR@oF^6_-BM7~FY~gx_(_u3N
z+<Ua1q#wAk?D2+M3*5fBxR50C&7{|@m273ilfoyVkWs=bBIPD6jUL3^h7stx^Z{eu
zHCG5qpdiiW_{563WJ8{ecjOh>EW_AHBH^Nb&uVQ{ge@sqLEeFss~Dv~GNeT2YI1>|
zuNObOl3(&VWgXFNg-BH2Sy6UORKhuSo|NCW+eYfYBq-z=seT+(`Km^^Xrj_N;I-qi
zFuYr65tC`I30UXV{5nsW_YQ}&`|ClE!-b!Cj<x<uUF;^jnub_Ju><CuS4fN(zq_R-
zVoyr~ObE)y<Yng_;5vscx&|TE?N5jS1u3jI!O?ZElh~JJWGKj{u{O3K;oZeEwH~9!
za^0U>W^^7^LgeKCwjW0t_b7=>BA@kwLP;8x#x^h=!!;4L4MU;7w7s3uPQxC3pZ}7f
ztINk_lkceBO@F8Q&|OlupZ10&PuW21AY5)oorhG$v~vy%@7QCNJmU_tHxq?oA1r&x
z`HX3~oC98X;Wj@1%7Zj#&Kc`-a%INI7oxKyZVJ!dqF?5DD}PS;Yvp+Bv#h&K7p%D6
zoy-z6UsBo<nn(5e9kneWi`*3E&3bv~(e<*~6NNxiF88O&+xxn}x$|whQhS`P)+zjd
zwFwx;5fRzDv`gM?)IXg|_DSa{mu~VBcbF1cAxb|Wg1RMZyi4g{7TFG@9KGZLd+%sd
zym!khcb|NddZDk*`x~Oj!#T&0eHJNu6*-|lQ%=a!wimTC;DGK_KP})dAdU26B@{QC
z4PJWbCA{rzZ^N74{AT?6umAeveEd_5%@A-mdn6i>_;^6!$0tST@-#P;a}LYi6$yjK
z5OJ~zI9?|~D695D9+G0#cgb_mIa(P?Zqa(B)gg*Pr=T|!q1}iNc7zgyn2fli)qwkt
zHh6fFcE?<8MyxkE-yEXyHY|+-HV%QjIfZN}Q7g4csQWx&<drK5!}ZDQWD=tMm{&Ea
zZFu5nOe*^%@O91=6NjEizWA>^i+is<vT^zZB7}&CCj;(1TH}#g4CuVWvo{xb?$$Er
zbGf*-J+HFZ!t6?Cm^XxUXiJEBW1s91!YkH=LA2fAVSS8<2M}4BHiL>Il)Q=h(&i$D
z{;rK|lC6cu2av-eg+$cG4)01%MU>VcAzXZRaDcB2`-)VpTQ35D6XkqTPx`@5K8x|2
zy`iFPx<$reJG{=Z5l|30io_Ah5k+bVen&_?$jQ5?_NhNpnJH%!g#&FGd0!oXzV}#q
zAus^&yt^-ipq_gE)dZwd=R5DvyX}M}wX@V?COI^*5F>k6jxq9X(NqUad{^X|;>Y<z
zO=88yHN{mC#V@FwML*%srFYbn04vELUB6PE-Nw~rgS-W4L!%bvNt^A9DWUqS$E(zP
z?h$zqO^HYpq)@u9U2juwHAQy0`uz6KVq7OzULwE8F^Ao$KC$Q>yz?Boe7Nj!Ge>{;
zF3m$aZG$e?HfWC?-VwPl(zor7%+f^>d1+jE@3838?y6KK(xEBznsnl`EbfWCaBvrp
zcdU3T)u&EFM79<>>fgyT^t`IPI0J>Jg6DI(zLq0EITs`unU045tYgGxNX`c}X{q&p
zSAWhGT+Ep*qH%@<+9zej<5);}l0c3kr^#>F=iJV%{DyN;VD&x$$EyLWA=#~+1D1Wq
z^0Dtzv;l3p;<J9TPyS|F%md=7QZ<upU8gY;`GVc@)j2GQC|q<{b}nxgl;q8#_f0$f
zX~AP96hH8R58%)K?9cGw4}Tc{>;L+{KF&u!wO9`Ucki!o|40#uhdo}neSn*Xw&%`8
zAx7D?j&_hbS&vO+he#rtC_@BRn-Qzc!1t2y9{HVj$S%%_JS1<TB<Rx4nTU~dC6u0r
zo&~!0I^5>1H-?DSdc=d14IUhAQke28<)_$;Bd<ti?r>tj7m5{W7Gy6w2Z!tx;_?cU
za&y;tj7ZVr5M`Cu@Nwk7;GA5FC}h$w=jhtU(}X-HdG)E42)FS*&LQRc@NQyo7_KK`
zObY@W(wzH;a}GBTIy`r4iDz!~*CKz*zPPBBPK|B3*;?eK&KbH<Ic7E?U>I}`w<KtU
zc1*=i9(`2jIV9S7ArRGRH@Pk+$WH}FNx#%DhKb=r9*dr3GlgWQPca6Tk?DCtpcX`r
zCf)LXbgUq+G!aDazojk67@c^n6s43prNR~lU#JbiC}oLd-D<)~&ly0P&o&z&6GoZ{
zvx4qj3N>6T9EbY|HJZyArKFl@<-BQ{kd0G=n0;y+B#)49(m=5~U)*I&JJv)T)w9%9
zNz%2xBO>JkRSzKUDdv!bs7R}3J2%L&%R-ARp!b=C%yTFuB&R6-wju<I(BS+a8h^Sj
z^>-<cE95{?zm0otZ4Z6DdROse6eDzE_-<LON!Jmn6EdMJZ3)!mW~rA=7HIgliu^>G
zC%7eVD32>8^>;3XAwD`u>1<w|kUk{=MDjzIRZ<URZ@N@!UW}-TCz2bw57B)>Kqj#~
z7Cnl2_B=ViuNu6Nu~m|v9%GJvN_I$K=YUlV@DXqwa=toWEM8GRpgiP6(g8?zf$BW-
z#C+qkCgEGx<TBK91iFt*KBFA7jn7(MY|AlOZ0vN(<JT3*QRH+R<2dKoCacNAZHw9a
z<~{VzVY$4RyoZIZS;<u*%h!X7ARELBd&oMaUfgNTkq$rymm+1n-X$4D{=x{PI^F;{
znU;0VBbRJM+Sz+w&&uo4?;acD^rwINr})4JK7b$m!5_qze(9H<>s};4Ue8!>M%;a{
z#{EYdR*avyK^}=lB%T+;SZ<nfyl&?`q<jZNoW%gF^KSuJg{3e<Qniu?p2xu=8F1rB
z;TtJO8W3|xhO2~Y^5Q#KdQNyvJ1n<^aC&~g(Q3fMlYxoD6V7j_RyWfRWYwIWs03Ro
z0eE63<&%toE{Bs)crGa;%RYsa94x0H%9ovZnO5Kio=CDcj9L-j<xL^Vt1I$Z$nIG_
z<xD$+VA6)A;d)~j1MVMfaPQHk@J3!PJf6F`#B;Y6So9YVJMff%#zRMBP|Ue;h8*G&
zkaOio$V*C{kj7)zB{^~csZ(uO!)as3XBp%;Jeq9Vkqq^bcDqfV$pcJ#!q6g0X#kaE
z3{VqN5+0V-Q6Zr;XSW40wh2QC@h)Xl%s&#T+#=27-Xyo_M1&?_gbZjA1KghcbE&JE
zw4e(efK6~%t%kgb3XzAgk!vaP9MffGJ;`X`tUE%}J0V6UwD=vI%j9!ZpR3o^pUGfV
z@3$)#9lu%eJyw5pf%P9ZnGXuGOBG5;E%6xYI>5mT(XDcswhV6l6sJ7o99Igxqf2!b
zBLJU0L&T74yiQf-{pLun&oQdjcZzUyJm048aqm#@R39aoaB;Z!NqicDuTnUug&EF$
zrmh<Ug)0WEhD0I_A;PgZO^Yacfw%7*j}bP~k#tldk)|Z5c%r8=>wYQE(gZJ&h-8R6
zq;?^>27u*+)AgEl&(3GB<<7(RDTUB-A-lH&$llHYC+lf{VA<-Yg!MLDSAC6ajWv6j
ziO1Po1kJK{AZG;1ZFtak{CSsd-U{z-k>)kg6DR#x<+oG>I?I7-{%w8M9%@Vm&CJ~s
zlF`i&m5}+k{#{FkQnb~!T)1=IlyhXI+p}L1#!z`1ZqnG_44Ex!z<Z}i!_@xdQMZfS
zqkea+Y~@wnq^ZWDm-GVUL~;>PHtZClh(dA(A$za3@tjNjf7y4S6?ARmrA<5?dY3%0
zX~8)4<+)sxxh%OKkCR1|DCLcLZabTLQ@xAKiN5|kAtYt)>{OrY`}4QMV_}}w>otDl
zM}7of_GMp&_rCYN=f2;aJGU>OR8J;ORs;UWt4DbC{sw@<jhjn6duxgR`T3i;bz^bW
z#d{(#hKQq+0Y@hr9OV_*wGLhO9S#qZz)3q#rNc2M4^bi-#}F~ZfFZi1v;lzgSS%fG
z^d7zUoQGiyDiJq;gM-Dyo6tGnaM^R7DEim(I*c)e7d$*#r_FdCtnlDyNI4GILrQEL
zreQiX!8kU+<=)!J6a@^t(Fb|sQGUPWqQk8lJ#OZ5a)|Y^yO6wbbD*81H+d)BjoJmf
z-VIye0N-J;>_DT2SKrj6$~(?2x=SZMpMU=KE7z_wVvM-|XpOt~R=D?QjTnJ$(c{)~
zfj8b>;`!$e@yw0IwOJ*+DunFin|5^^If4Ir2-xHmaZ0c~g#)@SCBe@}Ql8kf_&^H~
zi@fQ^a&fUcv$NrxL%@n0Y*qNnki!CpyeKh_;#oP20YNPwu~%RvcRA#Y<Zxw-qwq*7
zNzQcb_5~1KuR@??Qi+Y4SjqR?4yEm`o~d^t&s39FURqI;pkf61&SQ)Li@w7mH*SQ=
zC6pIsn52tB<bt0sbw+i<-&NU)H)rxf-l=@WnvmOey&NC{gc8Z~W*jb&9Ga|xCa~x(
zncRamRP%e*hDl+NH^aQ*%y_zdkWs7+VD=#5i}K&7>F$a&%6&U<+X^|Le>XSIBa%%v
zlD$m3zCr(;2OC|Jwsf+4rt%2Uo3C`mwd&s$%>~04aC9=@;qeBKjyHI8Jm8>@I5?DR
z9MT4jhX*}wQqDl{*!z1;-fNqY^`}iHsAvIp8s<HfUx4l(rRO%_vL|L_kMuD_#7tTi
z#H0hfi;|ZuZ&pC{@0>$$z)1jB>j39s8gp<Hd9;h1p|W;v+Me2b=;*T#@`iwZ(m#CN
zC!B=ZUIa+rWzVnmz@JN}hos{!4>~N7H+{?`&Or`cKU}7{^t$OT#l|``565y&4iU3+
zwBD3QpO;0$s_#Z6chKnDib$t4An9C4aw~UKhcMgcG&wmvU-nm#t*Jix+|MLBP38+(
zj7{WO2%)%7^7QstE>qN$wkIit!D;%yFa$iR>}5?@yRO6GjYJgQJnV7vaDiKgJ#HTM
z9JzPu{*X!1V)yVYr`DU1^Y@oX{l8y|PPynyo36I?E;5BsjY7w)`g8ra*pw_vN}=-F
zIbAwG4|DV4JgNM}f8~7d_*e+VpZ(dN#mg_hj9>lLUq!bim&v|(_0`wkF3+pYm_wTf
zP=|QtaDnHaJ;03vkK;!tIDXXdtu+*2S8TOu%4(B50?X@C_%ZFyiI_ZTj*cW>19{Yp
zd7x6RmcH}o9e4*U%BmKT@{II8dD7@5&NxPRpH>GcS4|P75k{<!N1Qx5!D=(&;qeCd
zjs`qB+2D8;aIzlqYAo2>u;np9ufv{&nmmMFIRoc2q}}bjFL%~D$YmsBzclUx!aC)M
zJbrY(_6h+LkHU@eHXQd52F{fU#24Mv+pwJI0x$%uhXL!e7k@7}m&nAscOP7tacG!g
zy&3V^qYdsKZ3>0yaG64ypS`(2=N(o@E3A%IS6I@^g_d`lA!5kk$DFvI<>0=PvV_vn
zPIhD@F7iSJ8H^>;nA{8lHdip!Iiz*$&LL?|y$7&;p=9cb(GGD;=`FyXlN8p?n-9du
z9+k;!M~F9|_NvrglzF49At{%doYRJT@p;?(<TsugKAE6IHrO+Hd3d-$7)SIz<w&}5
z(BWn#GM0S`ZR$E%xYC5*Squ-IH*9Wa=fWGNChD?hLG3vcqx9`D|J%%#;%unNm(qJm
zj&}}ua|t1?5(!E<J|pWEMBha9ZV~#uN&-(C+U4S-BKaOOa@THnyv<)<{}!shr?Hbg
zepO$q`SkOUEG>_bR$FSasrI7WwK)ZO1|6*i9Ir=CS5uE<?;UO|d)!!NJ*`XR;re8S
zqeqnDCGz6Pw#ABtPkqlJ=~8`8=|bcgZI(dg9YRX0bE3j**QB%M#_5ovTT+fvFS@4(
z?`le|GRemq%H7`U&#m7;wX^y<A$ABwj>0@{y3S)5Qhq=p(RCYXJ-gJaOQNyM1W~8c
z0CnkDgydAGw$b@zb$`%{Aq%~e@*?G;TlO6~o$oP>*qn@4GLK#qc=qLqnZC>{JT&B5
zYd&syPsUiz2ld?1>Vt^NTQY=9R<`?Tv(NHkiYpe6B2r&W5V^&F+|=WkBI3LU9zLRo
zGQU$s0m(CYlRaO_{-XY^bpXAwQE9&h468NnujVZ&NjY^s8;^9zdZQEi-m>vXpFD?|
zdSN(ApKj`xVcK8Yx~E)s5nSq}6N-QIM}LH0{Ka3y5B$In;4N=?%Z1#tm>8aNoUBK@
z`e20z#{(;Kw{IjO@o<^Q+1E>5oEEh!cFKJ?4PA~git+{_^HV5nU}BI~3;?j8Ugq$|
zk$0d=2B1SyI_j_i?_72#-<}+L7y}+0ZSe49#QjHWJX#GnS*M-0$oqwrDit08h;jsA
zBKRdoOY)lN9POT^Hbd!BI5n+i>YRqVc2GWTU!3GGBsX<6p|nEHYn(NI;d#n_(Re+{
zwd;xyA|4#4kmjS6+F+&gc<$x`&)!_H+y$Qe_M-7uC&#b9?=uDgl#42z7@U1hMoq`}
z3VVFQ>oy@P>@y1CS<nhIt9K`+9Z;$5M*S})BO%gf@}$IcPC-4t&>~g-FUB0!lfOhR
zWBPlNJ@`BCaI%hga6G_a#q$t=!q{e`n+O%{1x6_}oES^&r9_@U%Jakfw6J$k9;}*l
z(}v`>oS+lJQn!;L^ng^4K)jF;D2>+U1lo&IdtWt4E+=7nT9=?c!QrkG67sa9W&1jy
zG^b7@7ns;7Ja37da^fjWsS4P*Pv0|7%fBt3U3<)?W15g6f=Y->GWuPmr|s8AIYmR3
z&y-7$ejSlFCCRe3>ws|t?jLRN+QTSiY7l2qXVb+Vmf?y(tjSHv$)@x4)zKlHcet@k
zn?%<6zO^2_EBEf~1|`*4tH)gnQwM=mze6DJv)tCXf+LdQJd8TZM_Pb-tgEQmiRUx7
z82CBV_qeRoZ}_ugX8_J`*vXu`$eyO_A)r$!h&n~mCRyr>sH3@1-0SAKcs``}>n`}6
zT76Z^_+mcL{Wqf6on8n#$?eCxm_x>E1epEN;rexWG|l6~5V1i-jAPSIq{S3kXsO9l
zx>omHib~UR;%Jqk<nAB2axuga2|69m+WT}{C^>n-YqGH3*z!rR@h%=0r(a(CU7m+w
zz)LT^gtxx+t@yt0`@YM3)KiC(b@E7ja4hTKw{I@+{OyCnpfw1_5DU-4ll3^s9l{D~
z7I<kgNO@#7A&0VsyxU#O!c&ol5n_NPV>?Qoz-8&qy(>9%jEOXRc$~bT9v-LNl#f<}
zY(pQCQbK}VlTLaS)H{95<=vGjbR$hRw8K=VcIdis(Bq(YI9T=)Qh0$oC{zAI$!9U$
z_+%fi2d&g<qL9O`FVR)q@N^@_wCHf}(FPBWH%y*6=Wy$=$8)z9c;>Kw;*{$U%iM%5
zqHv%5p#&XnR(lrGIDGnykn0EME^mkLf+$l4x%QYG@;s?Y$|6iBX0OW_v0N^2a<VB%
z%8;!KZQPs{+R&~EFJMYmQqG_vY}L86Tdgk%OP`H(y@?2sZQTX+^?i)dvz{+<f)=?5
zF9x+&U5kv+=X<ZbVw@O>+8C}q@h+37)b*yr8_x^6Ppm!@fe`t<M5hDlv5?BcJMWH>
z^KsGUJTW2>leypP+*m-#pE~(ih3k_iU?vE%j>ukySw|iM5OR1S0JST#<fBfGu~U-r
zESsdr!uQ3=xDWzXL&R!5;CK_T&UwVwqb$&S2e>Q?7BN}az9Qp%=Wy%h0UkbDRpGDl
z8L0YU2;zYrP=xKu@1zG5Iz9=xh~xzxfq+E7Y(~Jzx@ViT)Lc5iQCALm972dGdZu^2
zh*r|_lQxW?5cD(`dCq;?dCy~cn_PHW^n}y&RmyKj<ojAVQ^ZKNWQT)=^o!(mDru&Y
z{zVZSZg$RYd+F<_2yogKvSniolSM(cBb_VyNd&MSB37HBkh41d2+LINlhgi5-GKUt
zmOp*&Z)q<9auNy{gM%Le{JQE_df{x3<A#fci<cO~aR2^&eC^kM?OxZu|NZaByWaJ#
zy{^4`_vsCJK3R`=<^Bo}Gm+?=!|lA;%E7{jL_&x;lwv*NIEOG7c@H7VBTZ=ZJBOs)
z(JCY<YYq~Mmwpe~`3dPheWxeYbe;EZqA(q(d<-efdc?!yArXfsi8!R(h7`)SEi{8=
zUqnu<9#eQoCKE|W_I;ODkn?1Ju#gaC&K;47!;288A;i*6UGJW?Ct*>nh|`Lb-uR@u
z{Eb^4H?(Ki7$Tm1?gs9?b_7(bjWz*Z9)>aC-lGlf9c>EPv0QX`?&bo|-CA5~?$5KL
z_Nb^skLmk3?l(zNUZ_Py5Z1)u(>4YTmyL)!cb>uLUwObr^u%)`qy@a%i!x|W${5*G
zV+=8SR>sn!rw9QrJ@(IvZDb`c<gurpA}c%nJrNLOB-J5~EpqK53~nZ|PD4nBl62eV
zg?X89jXG&<veGgXYvR{c^Xc~Jijo|v3CIay8DdH;6RLB3Y&V$+P~9T$LK-+SL!wYb
z2SueDP+yeOIwzZY--1*UWwQ33gzD>DHtq{xPiCm+(Z${&69AsWZc|#Bu53r$W;OAo
z+V`wGnUc38ZBDXMdDrGV?VWSw#w1EtuID}HfEQl4jn9AnJ};2O7&$bQJT!F~hA}k4
zTFIYLktke8xm`6WuKK3FSBpHK{;qs(?QyB=PBT9G&2{z95ktBk$$JQK3Cg93>^<3$
zH@au9^ddK{OJujsZQ5F}IL$b}Y>;lhQadW|+8hT+i(F)*=^d3X!og!0L$Sf=@p{BC
zgh`)D<Dj&^5L4;`?HIzkW{~`TJTIs|mHJqwMM*BP+;T;qDQ(~B9Nzj(nW{p|zETdt
zO}!sE?Lem%xmxmP+wsO6^`zQq-k(2@|D}2;E|*Ju=XZW*^W4Wj{&Bqg^2_+9Z~7+O
zxpN0EzWCy07UkOGIC~@-kvIh@2wEW4ThNmb*I^ua0XLCeLBbhAh)iO6pLRFu$Y==>
z>qxl{9Tv-u1xL!mr^v&+=?Dq@F+?1%hUDpV^aw{MBOa{=tg;Xeqj(#ZlRL`En@B>W
z7a&EMybaTeO~>Ts!J@<ABIT|)SjY}-=OyCmaL7q+i#<sT?_8TG%w^m+1oFCrLhRYA
zAe7%}@+AYBy=5J6^Ju`)(F!rn-+!y2RVnIohShad!X6i5jCgpG#^|FHNh9IC!|fZ1
zM5K_ct192N5M&8;+s~+<4MDDm!`DOG8y+v56L0v7=H*)<$eJh{bCPzwInLPn93`|%
zhhNG3EQZbF@~otD>^-Rrn1ZbIvbd=|D(l~HxR?ig@6RpkcX_k!4ErWBP7$3%z|s9j
zVmmI-t<r6o7q@v<YNCrn!}l;EC$d~Ev~GrwH_RI)PnaUfSwD5+8BPnqItO3!RxZo1
z%{#L!pAhl1xK6vU580Cru}))9lLIK8O^X2QG2l^7E8HY2Ro@5NhCjC%<Qb_x@&*;i
zgsvhwhcS(3O_J94ApQMN>G8WfCUu*J035FdJUAZqA}rH9+i@E%6<Kt!R~n&tFI_#}
z=C08T0$S$Po1N78{Io~y9BHY^s3ad#ABm8@T=t!k{HC@iY$Gj;_N<5_?b)2hDcHl!
z`RqxlHrq+*Gdzzk8dKXsz_pyFcG-;8j>@?&jE#Okpq%r(F-Rs5FKUCi5F$?0radR?
z)HiE%IZAE0=yK$m1F{`VHr~l5Ol&;uMM-b~dpFZ&MO5FeOJs4YKQ<S(XujY%qrF&I
z_g9{$sV}ESYF?wuUC5>eX<3kwjq9NL1@%4BeRj<)lX+-{tb9`R^Go$m+=iE4dI=x?
z@Q3lszx>O1``h1ss^30M9*W1S0k7O&;n7L*TX)Xk*_#X8xxIYd5{bhY%Dji`Qb4B=
zj2xoiNw@>vMe#h$n*@X?69yBFF?$|@R#nraPRcp}ChBUhL+A2NdaD8VkMeGMs}aYU
zI2^}V2s9Cd8JakRC}f-ncS0Jb@-1>sL-ID%yPlpk^o<CxI%lCK4bPIluug<~Q4{4=
zAQ`6;2G68mgD~8tM6^JjVSVTDhUaeJ{)3a!6JW*=xGYRUR2q}o92q%L#;)0fxZ0$U
z=6Zvbn+GYR`Sy*)rF-Dbg&@}+h8Gor+&|%C&+uf!x#Y?7$}3OSW>fo+l_8=eD07OG
znz*FvYU7BWBgPIUM)+CLB5+Ew(n<KH^7`TYYJN&sdQSwG&bN563sXhC&k&AHLb73u
z)?SzwjUr?^<S;)d&&2#0KyD08=p-FglXH|K^q}{+d6+gXdgd_g#ClPSK16_=tcSEo
zN?w>>Z$=EM;#FTv#dF^ALU5Pol`eNMO%^9ZJ``lYHlx4p`^B^C&((M=JUtul$s|)n
z1nUhbG@;34ly`73wF$WgM!14hr3j}RH<wtQY>InPQy*wAvqj!$ae28r$etIH9-$n6
zb9JxBAYD&na)_lzd9gu62<*X|#!p3<q9iMMks%dQ+Pgtk&h>@-VXL>LCdOOjk;v@y
zEZQ*F<&CgJcNUMfW#{tl!8xteB1MUj9BnQ3pQYVan@|vlwX+S$DDR2z1Dy9j6z7Ir
zxQHC}XF;8s;w&EalivkJpkqen0J)DT;(W(v4c&)O6P0>S&KJ-1JDIPw*KY02d^(SB
zI!@#<c~Xxd;B9~7i_X<vk7bu<!xTrW0e2fj;`7fQ@J1i62aF+wE*~p_s1rFy7J8B=
zkchwtV3U=h<aRCOAzX5mCm}P0n0LC$9*J21QmDf;Tp8GmDT(~64_A0}JS1<!yxKD=
zK~_#S0+O$k?9>6pss$yPUvjc*kAr0+MEQ){*%N_rQTYpNqVP%0Uq};*CIu&iAsLD1
zAPF_$L!b4z)Q25H2zc%dw{W9Fp<K}4Im5QKIz6Wlwl)K(jja$OLQ^d}KThLaIY(a3
z{&q$g8$-l{qYdsoTH|;vt}cD&@!YMn!OBG}+O$HDTONkn!d>dRnhQbJ9)=czY`D&#
zd`CJb>5~A;QCXUx7lRgAspWA^R;C5Y(~*^IU}vK{Juh4csXHMnwE+Y)$;xC5m1O0_
z!?GqTvz%Xezf;cdQ|G&k(t;QXY5pJb#t0<G#~``Jv_U%eOwkd6G}D)cquyj-S$V3Z
zT-qbNTkqUZrxofA<ot_S&s&cHn@!SZ>MHc!;h>x9z~}Lr(gwN^j<IM9{g?Fowes}Z
zsPJ!X=xY)RRF_(h0FZgWVw?>jAdE_9LPa3#2?wBiv_XuqsPm5Xm<`t%jgK;)n|2@o
z=Zh21I-SaB+W%>+O^)Th<*Q?)CTwd*I>&PFl6+ZC>usqQ*tJ(Vh1r%Km!Xh}@+{RK
z19`QUb{lz~mZ_&o(x_Q)sq%6iQyZ7$WXltsiD;K{FEaV#_0HcZ6u0klNW60Za*kpe
z(?gJQ)B8n{FW!N3qk5O?bVS;zN#VNYsAsS83!aNxbHc2LeJJOO=I;WL>J6fC3mF*@
z5d-zl$V7R|n-Wk&Wvg$^kdY2;f;B`SrA|wIYtcI+6rUu-7;(HxITC3HQRf_<ySc!f
z*8!2pt0`*Zl=UF1DLP~n5HiJOLAoJjE{6`2*P)}&Q540_<xszcXHtS(ybqPq)O&~3
zX2gTz4emZz;pk+*(aC_5VZ<=BRx<LtV7lVvd<s)$Wjap~y)W|t9^~-kn>j?86w1>o
zZ$ygC?T}1m-v$b;X@w%w1mjOprmF(w;@ZcH@GK<Z94V;3=WbdVgn@UlK3<QL%?wii
z25#QpG((=ZdIeTQ92*th<qa|#-iFn^02CAC?CP|hVD<I&L|hqcdTd`t7#o3C-;fp$
zD5q+KOu#pn9iF+7ygoYbaJ)(~sO6bSbwrc#T&_YQ4$l*U-10DdQpgv>>k~ShQ;!SU
zosv>K+<0|`qoWnHC)PwJ`BFY<FOP}rnvr>DC7T{M9vfNNkk@106?lw7R?;RB)Sfag
zkzpQ+`>=6MWMxSHI*)^_EQqz5tjsysCS+x&cDD6teuyqD;*BADRA~Y+%k)sa5QVMk
zFh2nN{1_c?p0deaT0|a@?wA&j9p||w5~4+PipN;oxuK5eKAH3kq9eD!-bPv1BQn!F
z#~T~2Hesu`OLKA0OW3J4cxy5u<(C_oI9%m$;d)1Cs`DG@IAUnIPz!2Aumoh%H-(PV
zMiZoKk=mg>iI_wJd0FN@sES&8DxuhbrCWFmD(`ZPz#!}~L*LKU2lfCH2n|mspc*5J
zIIMrC31~;em2*nZ!9<pp1X!D-tgkP=QyJ9tmqie1Xm87UOwpW`@?7TK$cIF>Z^n@N
zNDw&}$mYwQh+0N5&8X!greq~@KSLmbh|bfu`S%c+D}8nXY9~nj0@N1D1KOvQ8NC;0
zkVWTl&?oQXuA@GZexJzNG_IQSt{U%88ZMKlY|X)2^AlG@A6>)bd5G0!UQ^Ohb_>t*
zS_telTt`gif^xqj`LVbF{^`m>p3j3PE#x`Ih@(}?kysFkx6-c77txT{4H90VLYFrq
z8{RsURR4wqln_Cwp=siy5fSn-OyLRUWrAGxl;hBIp2L&13R6BAa+v}v+M!lBa=9kN
zA!G%JT##uqmqp)U(Rmy$Q<%feWeQbptwQgrKhD2HISZ?ePxc|kXcfH9S$N&^7qU=o
zcn!9`pEj(CJVbfdYhQlvvO()0WSAIX>K~DoXD9=q>l~ha<`54au8I}=$AOmjUn`us
zHs0sX)%OB0oj|Kew_fqv6>_M5OGtTRl5wKPMeiNUftnbfghm9qf4MTA>PZx*iJ_Z6
zum^Otq0oYoTrWEGdB?~njR-Nken8_w60nQ6t@gUrULa#NW@xPUeTVgCpn$-}>iOJv
zCx+6*piZdA&D^3(?ZLH;u-qmGU(e%oYdEqdD?{?q7|63Sh(XmNE63RI1Zo&e`<5~N
zt$ttKmq5Hg-S^0QsP{g}>rTsZ58nYUCK8c!v53;3ch2E(;c@e@$IWGj8wdT~dOmyN
zRdeGortoB%=Tf+G3RTnZNuQll1S|DxwM*+|peB!aH`y!`bV`pR3}1Q5@FH!WNn_^_
zGjXUFV&_nh-!V?cHn+QyC4l4pQj^J3MBKc2fJaBGWQQtao%$U>3$@e_W6d=xQppK<
znU6r7qq?bzz#k&Ng<QYyxM|B*?QvWZma}qN=|Xy3>2mKPDfRekl9VW~FMeO$6G%Ig
zCok6#!x)*gzNq|$TfHqqWhaF47<sb|><p5|Gwqr#UY1N-PP|wOyOjDhq)qsmQx11c
zoEAE-s%xJwC_Hp|H}vdC<2<_F!+T&s&KI4G@7c&CuiMc8q*MVz09M0@)k++)D1Yl_
zsB=J<-rU950eB4SPStk~|M$Q1H_lZ~BNQ(YF-APfMB=d`65nuZfjdtbkvQZ8t|zOM
zpCx%?rAA`%Ft7X)FG%u2udwRL1r98r$ynFq4=Eo+8ZP@JjD{iL-qC<ZCy6*bUXL8^
z5%lEWm~_Qh$%50XU7)<<Roz9GJRJ|09ybnp94<VT%RX<0vYVtMZ_E}^cp9&#&MVh+
zO%z_k{DnF+bmBSKAPjdab|rkHkI;9ol%ALsI6cA33V+;7X`KUwtI|KcE4X+}l%Zao
zcSWwTmO)Vvaa+i_f{3GQ8YJD75SFeH!t8bsms<$S5Ca|_4Y+r-!O?0&2qC9Ka5y~Z
za3hB^j};Lzs6Ho#Ks#IzP|9i%$_Fvj^0~8&GdJ^YEdpfU`Z;f29>dcO_H3u|FqEFR
z8$}j233v6Kj7i=I#LIZ-yu&lM4)Ew`U64C^d==mII829&mGy#b0(gKnjo)4073onM
zz;g!iHt)z;IW;5m<~%cBkJyK-Ofo!TJ&afn5yO~_D3awAxl(LIl5SpjnQ3r4yV8Jm
zRom0zt}JdTBOjW~P&x-KZUY5z-TBmqQdpyexAG<tK1Z86m%L3z<PGrBJL>1@KD=n8
z?P=+uyF6r?-mU6<9Rf&;tVDu{4i%~hg_7hg^nBG8QqKHWw_(wCEl)bFQ-JGJdra2$
zMLotfS~<%|Z+pWVZsN6jN6AAs>b^1c434TE_5s%!)x#FTaw0R!YSg@A;h|a9<%Fwh
zl2CLVJ)6r=k@Z@p0}W#8l!T>oDB6n75o+SD@JwyIgUjP|(K*hazvz?A#6%a${#45a
zE&B_Svv^<a6p`(oF?r>l<Vd~sCZr9JW;}{Jk4$i;MTvt&vUwep&KboMZHy6Nlzf)6
zgl4uQXdzG&>D+#h2A{NTqpbU4(vFippyyEs->J=XoZ9fkr@z#0w3uISR@U;SzKXe)
z7hfw<dD1>vH(PHKAFv+8W(hO>8X&%+vNzRSRDZ5@lg@j5+245KT<>Th&zFE0BOaX$
zxcgwuM51@eBk^e<5<^HX<HwC%q=Y<_P#Re<Nkk6qyf~T6^GEXdD+!sL;5ZY95x`~>
z@Gx&`bG#aGvQDc}+q@0+qj-WqA`U5xV$rAPE^{(v+ClloQbLp|q;$59^y-r`+VsXJ
z`zRT$oQ2mZe_=rqj-uc<Lya$pBqT+g+K-f>5KHA^wH|R4&gnh4gADAe^ZOWv+NFKH
zN#RlbgS5lDgBYzO=zG84efNbn()aNk<a42M-44RC2z9=ovTp|2#ZJEqc?oyUtK76x
zWd&KW=oT(-HUO<aQom4-FP~+A>{`e5Rgt=LWNy=NtA5LE5pn6cE9bmSC*-9vexH^w
z)7KM1D9LlZtL!j}ERLEWtOye(3xOi{9nH(W_e>sA>(`-f000Lp7afM)mj)}d2aSmt
zZNroe>c;$`jq3D$hOh+qz2$eMcNg@t@)wuOtBDH~G6j_pe7f)H>ol~q9;?mt7Bge^
zNhB=i^3PHqF6Z#1r=<wwGU1y}BS8yx-Z}I+G}`4Pdoh$DVx+&Y7vPXKE*V2I?0p2H
z%YDlEO0MP}p8E|gQtm=)-b`WSF~6m}FZDMvq&w%(>77-H(9edqcn!G}5>CHS208Vq
zUU|*8JcMWgoWhfjS1IC%a!i(_PL?Ce=_B161rwx+HytL*&sBf4Y|&$e%LgIfM!J3s
zl^2}c!#iD{R6kQAT(>dZtMd*w4tlH)`dNZWk2^qghlx(5^nsQRHm6gZXMwmy^3Hx&
zvQ^9Q((G`>IsI9h(&^6J;wvYR_lle&k^5E@Z|CBvWD`WF{)|c6YC?Vt5#wfr+l*WL
zSgRgMkJq{M#%kd$qVhJT9bMF%LOV|{yJY7cF0+$L&YxfQ<J{jcJyw&Nb-$E3%uU`U
zkzJ{dNl#$XYgG9w15{*~q>dOPwNte)r2279R)z>#H7JPmv%=;7rTu2eN?s@^7el#^
zxa=YAop`GEK3(gmt2sDCMCW8&=XcdPk4x`-c{`nEr1of?n>w6JQCB+mZt|i{3rRJh
zs>wsWK&H6}N}0AE&!3CRJQObwL?pg)e}$9034r$wZ@9I@o!d+F-IGTo#+Y2ib>2hT
zMT$ZgNVw1hM1wg3oY%#vL7wglA!St9vd>0HBJNx!F9VKOL-ICUrRNVhPfcNLRAtu&
zj7K((GCA3I<ZYM+;*DjWc2Pb^1R@RAxs4AfFP_d>SbyFH=iG!S)QNB@ug&9z7IZZ!
z*!q525klmfCJ2!y!piC_R>7~rdvLD)wQ|>5acWH_K}{CA{LTS4Zyq#rC~6eBOIoCl
zYhSakaq8Su(Krig!m_n$-y$r>%9tEOn)t?$CcV{Kb|a%|BC?|ux=-&nH4MbtaMwG}
zc@`B0y_5Sl>%39d%v8h_veXRqo~fsO!o(lPw7!pb<v!l0PbvZOxIy!6GZdMR1vX%6
zf>0YdfEpW2K<M$}sCzPLRkw!p%SK2Z_Lpn>f<jTrFaYGaE<aFA+xA~JS(Ls|5Rs5H
z2l_oHWTTRCHDM|DQ^xq@IyvX^3+(M(S$|i?ubi8H=gl5YA*WhncTVQD`ammuzRpE^
znjEyP&8avC?HP2Y5F+cfN2`<urw)m9&Sf1jc?sRfDQvc;<fzEXVF*}_iL6|20@h;=
zR~{o`_GAM6Hg%QcfdrRxbCdq8`|<gpi4(vf#+2lZ7Z-Rwna(MCJZq9dd+Tcwq?mUV
zsZ-C<G7r!-DEcBGB%M4v8_M)Pxeh0bd7;!p&N@e)R<6~=PAjCht}ExtI;;sLU(`vG
z(G+>ZI>iosYfhhNc?@4PVcC|E((lT=aw%-yIT;&zh*MwbYJI*U4gr}7=-FB(*T?G6
zc^ThA9Mw0ib=?>uqLS5`lwRarppy)Hyv`x5KIMSvG3syFLQ<-8bN9@(n&eAv(=j^E
zVasIYC=N#jsae@kMC9rP7;dW>k6HPjPM|zSzb$?@xm@Z{eIOa6Wubg8b$#cMQf5>#
zffsJGj9l~{Hx?ZZ4m#XgdfYr*<PBq|woXyb*d`2z9nMUB=kRr3`Qq$-_knpRUI1c@
zczBX_ZGO^;#LXaE&>yeIyh0l}ESWsf$fcZ&;~2p!8Cu~_>Q5$bvWqz<hE;h5legB0
z<8{FOqZ1sjWH;rSIBdbWykZ07<g-4zKqsa1Fz=jvc+j&_xa`|renhCPhQNbxGnC#Q
zXU$)zbE`eh{Dt&R`w)a@A?!3E-1#I`NwIeTA`8^ihGRB<Pd1n1J=h`(Yolk*1%23r
z2?;3Y%U$Ho1HF=T>&60M7?jtLD0GC72f;pl@62VIF(T`~nmC&LZ5gJBa7uxl+vKE1
z@<>d^SMqrB@GdO^+&WB)06m3^ISDDF)!Wl3&^tGixdb#xIfq%VqrUU-eS=6=?Inhy
z<Yt;BBb9R83YDL$H>#T$ugJTyRX>em+xqHtA}mP>ti1`#%}z$u7AjYh{vIQH;OJHO
zMepF9XTv?USgxz|5k$v9Dd%YpPu^T}AR?i)+0gUPKZDo4;MtpGmv_!&TsGuiuCeOx
z#X!gouvZQB5*kzVf7E~3Xv)R{-%%OQP-CW$G4q5a89A{!2dXb^5LbFqZCGi!P|FGD
z#2A7$5_fz@1OlXO(mSP`chn~dRHsh&Id!j&(zaBd;>$j7#&H1~#0_Ket~<^IA}x+<
zc<&N<m<hzgW!E(JopZbqO#O`2CSWr{HXX^42mm<3<<<fCd%e5zqI0~^)EYBmpfJj`
zd7w@gBRNiUdIRNs8T3C*e4y-eO}OF@w`0t80g^w#!TDqdbS!f{oQrS)1z|{@qp1^k
z^iG90dNHsmH(TGiDZzb)g{WB9X`I%{Tqt;q5w~tFfpILouK*57)N<>x=gAs1@yNuE
zpU!`zGZo?a`LFz@T&Rg~Y>2VkAp*0m!-kxv-O?q+lk$kGs>nOQcPS4*@~$n*%<>?2
zM3Q?kro5eqLCM4Xft(ex@S=HB!q=zea8=(Yf`}@CXQPN*K3|Y(V*94tg3fE%=c?zF
z3qkx`HAm|no@uIF2hvVKiZ>z9FI%tO2Q6ZqWXhsT+`wGOxfZ#4VLgx>j9~A{%@`0#
z4u*(v6f!c6)!goou}X6+)g4ofu~B0Y2ncWhLL}vCztOH21&hz>eba?Xw*^xFVSyYI
zI|(V9$iwNPjB|;9S>!yS2ff2`k@k8xFN{z;2V#tPc$_>ER~sP`-}uZDZ+zzZ6NzIe
zH%&QSj~rT}$-^N8M9P<x1sWMLtYhb%OnC;$3y{deW!|=a2*7$w9*-vv*Ere)48y2$
z(_kXZHJk&lmZUJ{j+M}ZrGzFEfk+|Bn$@T9jm;SF@OX3X{DrL@l8Ml|OruqkgtHr#
zD9^rAlZ4ggBuo&hSE31=l-KnciMGOfun|f;$qS)85hT>0BmvihtbXm|f_@f|LR*K)
zP(Ou}71A_J#1z#84k;mhSFKoA^(|vinX^i90K}*}kI}v_X;~=dGn<;!3R=^!geVno
z$fRTPm~cKDT}zKQ++5<>TMI1uuI){8L1fX~D*Z%R-jgV4-K(g-$3R%J0Y=J3!w_3g
zSYU&g<4}B*WJ+w+O{>q<23p+iT}evsWf16d-j$Pgb`1|Lzh7Mv^n5c^q@g}mgih)D
zQsg0&!Odi$_wWmOZj7Z;stUqnRw{o!od1heA58a91fefULoM?(Q6`Ik5u44Jy(Vey
z$Oa*1#%E=?mEp^x>~o*1Nb~xdz~`pkCfYNmS%~@KZM$SE%Kj0R;ZPb7&O4qfoEmYW
zYUMdZ-<%B}SB$x-$3{g$LfOWAE+UMjSF6Z1@l0(_pRTMPAusYcqA)Y+$9e385HJkD
zF-F!o3L`StOXsz>rJo(M4vAFQ@J_;MoYnQc=u;l-n+F|k9`ra^_`T+j5L3z$-Ys?`
z(K9W0?+W5@*{28@2N^RV>*PmTUs3u^;Nxm@q=vjL791)W8-eUKg}mX3G#u5rgaAt<
zQRgK6hd2_bv0sqldQ9eisSI?A<Y26JR<|mp^eOIN${6>$Z#hLi`Rs|U-i7)S$ulii
zUGHb)dc>VO&*1JsA`j*~b0>3SCL3cY$%}fPBt3y_q58Vke5vJ_jLW!nckqiu%d65M
zhsOqSNTK|iJV$}rA(I&nk`F$6?k#)CjYqNx5k(zLbPTp(l@koNLkiDriGAlBe9XE#
z6cGay{W-)4id<&7igZDAw74xBlo0tdj=+F%LL`yQ<awLQqvVux4r#aP7UJadMECO!
znA}gzIj$s*LFJI@k*BCHMIS`FztVRNS%eBzzs~c|*1j)e?5rTYZP6<`PT6y0$LTzb
zh~j_~Lc}HjL)PV{x<)y-CYvzXZjKrlm2LwdhP2!G7(`Y;-3MstEYo+RCusQy2aW_3
zGCs|%i{9h^_@+DOs8J&n&x9Bw9vml+L?RM9@9>6eOeDsbLx-!pheSFJIjnHV%7>6|
zV)P~HlZ6$)EVuRuqeRe~F<`R^I64_|vQ9e@(F$n<ih)*x`nd;q!k5)*kDJ-c@Nn7T
z=3$3}yn;;wKSar2xEcZ;o(#oq$@_%qvRir`imX0ghKo8GpL1S>nlL<zms}BcsfCJK
z_lk&!At`<9@oXY{8yVR09&~vEnF|vpuh7={dZIclsI9dE3WzYSCsqPae1XCd1IA5B
zitP7%AUKbslg;dyI4$PF+Q=)QB;Q2g(SKr`ZdSue;V8LQSTRs_QWzHbov19W5M<|o
zA*8TooqNhVq+F(p<cWBk7e3DV{`}W(Ij72|kMZuzZ0w$W{MSaoT*&i2EB;sMMF?yO
ziL41a@6dDIw+Ty^NtPI6L7X?qNL4>YNK%XBy`*}npG&fUpAR*EYU3l8gci|8Mb1K!
zmwlQ80U>6Xd~%6$f*NPt+y+6eBp7Q0y1Z|m3pi{ulY_Y(Qa)TEmiV2j@xNRiW3w4}
zdeMedDt`67Fs9ny&jU7k^V3tgOYei?yJ{x@B@vllTI({UVU=zYRl7e9@Vup#uw3pZ
zayWaa=spS{s!b+R>E)jC4%C=rfJ&c{XP0e9KMOGeBQSEEDx<I(AM~wNcY3~Z{7P~!
zGCJ#Di;=B1?EvXPE{7K@!`^!!raI(tuEu)Xq!oGBc_B@bAt|BKT1Vh2Y8d7bT2@RA
zRr-BY_n<oD_H#tY=7o58c=87AT=rCv+`&TD&5yS^VndSxy38aiQjT*V<n#<F+Q}h~
z0b}k2c`cD;XYt;}d&*e7IAr@r*FBXnKg@fN5JL9o6Zt8N%Xxv=OLW$v>r_5J%0ml|
zuF#wL%!NGz`xBU33Ck_l?K-co1Jd`6id@sW`CPL&pc$e}He8I!yLUYV95u*h=dx`|
z<qXw4oZHE%i-{cSyu%`wEZLUQ9;ppt?w7Q)dc<09h@twTcV(#cJ}DRK@j01qsNMk-
z9+ot>V(Kwk%ja@l)g+=KF!g+#8-<CdJx~*t)Auafi#+#B@;80w=SQT)j)<fS`ZNwb
zXgtbXJh^{We!ZZ|b40#&o8tl1|4{X3THKkh4;sT$o3~zI4k6h)vOpw@$1!>}C&o$p
z$B5#+r1B$NOmC@|v?j7R3$}rE#w26ME$_B3j8HrUVvM+dw85(n)&-IH#%Gpz<L!gT
zngd}QVoc#v+Vk*aH7GJFhwu(Di=za+f~m!mcj9?RuG`tZ;ZWs=tCYk#d4*}ufcbKg
zAWO;}(DxmC``yed#yaeT!lOe(k+bmO$$;Te8J4^Y&gJ}t<Y9P;`3uPan|Kk<gdOh-
zHbl7|oie<Xk(2);r4BJE^!s98??Imx^`wNkW-h^$kFylebpAY`)is?rr8Y+SLs2iH
zG>su*a|V)jTbabLaD~Fjgj!Z&?%cVBSHIw8?1ZUOH~Y6DO8^SFnO~u%>uWElvHHIC
z{U8d9?iWSqqxa~0>MtIo>?95($&N>>5yz_(?!D+emPnz^6w>Ta<pa8a_dhRMo_|cJ
z`7P%hm{6<Fb(wIZ-=Bv-*@v*KJthm{a!<k%$k$#XWim$&*Peo%cUa62mPByYIrhXT
zn)h-@UUo?~=#3*NZNo^LfKgpSkpU4r$JY6VSdmX9$?fKn_fCw!klT`s2nQepIPVj|
z0aW3&U}aM)%lbL=v~(e$1!9bHssI}@<+;fJfuEC<Q^)0A=X%oRpz*H_WKA&2y;Kn)
z=k@y)_1UOnOwOz4>AI?j&B8+3(zTnX$Y3lEl|)e%PZJ_w_H)B1s6XpxNnWXn1W;w!
z`eIxS%JU1Vj=fiTslDn?prJJ}bE&V1Zc?AmbyCgI+AD<&ETEjf#wc~An<4XrDhDB$
zuo%XGIH(eke#Fm}GHhc;beECO%77&D0&c#>Nmo(xqrR8EH<hOt8&SgCG#Tg|(76=J
zqjfm(z|rLd)<fD!`?BGXB47ZZr%1cSc1H}Y$MV>K$ZSCRNz$Rfn=@*8JVr9)^&FVz
zfxyzR8dG&?PMO5tO+V`PE81Mm{Un>}g*hT76QQNO$Au6Uy}TqYd9f;A*V0vLPkYjj
zSDR$xtv4fk<c2XO&#vB~r@11_8n&}oAFQK`N_~Xdj_o29#y<v%INGh7Qq^iF0q0QY
z;j}OuLXH$zmtMcEdo4PT#UgKpu}HQfk4-hN)NP(C5ox9u9VF5`z*>S@ylU70`(SQ?
ztaujnb46H^Z5VP{DJN&WNLI^OO&dG<zmkh`exi)<@ATX(Ud9kFX)ks}LEtLVuFw%1
z#~hOW4IuBh9XTb%dPq)I!zla(<%8`z*_e@S92#F;+O&nn3iqdxY~Gwtmu&w%Y+dKb
z0izN2O?}Kc)Ose#LjKI-O6DGJKk63&h|XPzBb*V6dw__<yARe_Ya;RX0p9q`^2&+C
zfkKEgd3d}U(q;y^1E;OWBSH+Uuxqa(0uAJ4PpdW}{K!k}C=-X{sJsoU`=GifkXC)Y
zORG|gMIr}pEISS}Nt>din11h4Xf%_CL%<gvj{N;J`3rT<LcK%sdGi+%LAEOw;lAZ%
zp&t}Us1%FxTB&c{^}@D>P?+@|%p0T#5tmJZDBgoQd|@>NgfJ9@;du~aEEF1-wX3N?
zoUiBKQ5hXJW5iySumgqi=G4lucX^lT(nVe?YIHp{8<R1y4Eq$4C-3$g(pc-ggX<&*
z%eI8b+9)UGIEC*=mHRV&*E!jAxOYu_P*@sy@%ZYQJmISy(ppH$*$8aP;~^%+bhRD}
zZ^X_!9OjTP?_CZf3tPM`X~Gq+LFBq3|2A!LiO-w-1u0CB5cF+?o77pJurHBFYlh|0
zU%%y?!z`(`@PJdf^yoRK#lCe_lbL&ki^p<-;WEhKHqinek7I}uZlaa!N_ivF!aE1o
zDNoDX^&<Ta$V6MCzJN>&YUQ2!mpoS>1Ra5m)2L2ltD@CI_5E7SKQRnwE<%<ybQ2eW
z;1FF&Sdnhw*CFd2x@fL?4knwvu<u)%fJ(xU=Ei(%E>Do>V<IEyeRp|g?DTM+F<kcg
zdyWMIZLHM0c$1tTM==t~KovbLw+;1MHIHdIN_9xhTze&*7jgEBfa^Ff1dtB88PcXE
z!w`W^5lx6}{COw&``~=BK$6BdEqrSa5kR(a2BoEv@<8h)kU``fzk`sF5r{I|)UV06
zc5d?BQSYbvM??$`GN{y8q)$E(hosXjx}@JNiNNtLr?Qw2Po2{*iiO!iwrpurT^a4m
zr{}g@RQ8uRdyeF)L{h|}zofB~=X#%r_t60%hi-SC#);A!@&l5Li12XedXHhqn^Qvc
zcebh2n5zp}9NPNw?fTm(F<kMdkl$LSQ&Z}8C(Vfjwr*}MYwJ`4WMidVr=9FNtB6b8
z*CLXQH?qByh@9GH^4?+T9hN;1W70@To;e53$=`X$&thHN5eX!7F74vJ&bzpi+^pM+
z^jqHii3ms~uSphN21-3UEi|j<lj~5n54|rDOCchMcPA2YL~;)nZ#Z!xn3|8%J~^4L
z9N-jLMRJMe)btzC!^=J=a)*vl1Gqdvrt%?=)0po|X)8pZV4a|v#{schM<o-;{waPB
zD7ojb=*!)d7rn<pPJ<xMFnMQeo{!Vq%rzJz>*JmGSVSSii8RgPJIhx9(NzvvW!vzv
zJVx}q4rE;_CY{VHSr%0z@w=+JTlD8A6m6I1Enp(?{tD|XIJ(Z`&NEBA;fjdF5F&4y
za+1lzlbp9@9FuGICKG-nZ6=DKQyv|C68aGlV{iyz#4v&<;E>&Ni^;J88jwi=M<NY7
zkHbtD-a72_4$3}xDmmmqsCFaDI}z=(`cx<IzKHyVtcYyMMM#s~F7m84s&yTe?$7xz
zXoXpaA@4@ZdytJFGNAZcX~((H;?t~z)$dCNHi}&dl|rfulV3Wj-(M7F$v`(H{dD+k
zM@DU)*dj`|{32<05VB-DS-AV%oZElbz@R3wIZ_5_8_M-D@{X)GQ=r|?X~o;q<nQDj
z*oTZO>MG)BHR9oM+DTK7aaKM%$9?F$VeF^HHp9QpX{nVuQI)1h^S-EhBnJv&t?DOd
z9e-!VzVE#cS*d?tA3H5H;WtN4PWzZB$h4@F=9V!TmigE)j2yC?NV|E@FD*fx69q1P
zsEk?lpH{Hj#-KW*<f9&6&IuWzJDl!w4iGs{c3>1G-c`R%sgPqPJF0gkvI!Cb%j3Lm
zpT_%Z6!N~hsP&uE^pJWksiu^yluv&^*U18i_|Q42xVE8EDBp68&)2m!JkSQp^mA!2
za@*yXh^YGbNOMaa&Nh`x&dH{Ci!N<y(pQVAi=30}G?)v0+_gxc&(({Pbp!)lpNurH
z{xwEfWRS5X^BB$HwSGnA7C9kh0^+1?fT+A+kaG#jJxQ0|r4MsC)wQf!fcj#(0kt!g
zZ44>r=tQ1GttaaFct1H?>z}m&zR&m0J2>xUQPq{X;<}1x+BR1-J&1O^gHC5OjDf>q
zPuApRB)f@^v<X8{`e{KBrvJ1jClRs~y2!gyyR0W=z37e4-NgL|$CLhEd)p1;Sm=?|
zw^N8A*i$Twf#)HeHiKocE<g2!DE+MNi*xhOMS`VhrC%23S-_SjYk8%|AlX656Rbm@
zi5*I@MYbLhh<Z`KCP#-c=8ci0uhiuRk`8*flz#^c&vWTzgo^Wd$Xr`TX>IFQv-gT|
z(iiq_%iLD110s8%(|l9tb-B%QN(YMmAn$LjOHh9eF^bH>{8(>#Sdy-x<SCs)1kVqe
z=!-!UaawDN-1#*5?Abv<^t{rp6B4%8e`r3@b5oLk$SD!%{*HO0RA<$~rXCBalE7j0
zB%kQJvSr!ct-q_WQST$6>o9e_fEWMgH=e%pC>WvGK#URh9&K><!HQQP`p)Bxx0iUs
zt;a_s#u$0BB+tX+b--pAIjQ@47(o%f9Ll1EcoGVfR6QLYLz=)iX>Aa1!)-<akd<iU
zJS?5VvhQ)QOd-m*4tg9OB=5s6kBBkEy|yebpW!NULx@89ypJ-hJ?mtHnHj<`#EC%H
z_ldwH43+AG6~$cVF*kx9)ce}h#pWK~6&ri-`azaHEDT5?k7wI~xE3zdhn!2EHe7Zm
z2AKM>2vMHM&xc*4pB9p$rzqn&CMuvH0TmI^-uU2bVFfWt9Zc#FDjYPX!W9#3o_Iru
z==v_@8ly>1-;<OG04_$}F<To3R0C8892Vom1BF6OPTME9K^r!;Yrc05LkKv@yK0g#
z3<n%8Iy`gO<JOJ72v=x@cTu0yb?rc;<IGOZ5wm#)YlZA_VJ^I=&h1E^m9DM?RTo?*
z$bF(Bex4N4l9Z>^d-HqKi#Fajy_<wX@d|OycceXVHGv>W?zgwQHqs_U+K#!Ae%BmU
zRT~l^#P6<@`KYd`e^(BS>;V<I64j$h!$M?<yhv2%=H8X>S{aIb@2YGxzS*0{do>@4
z{7a9VAzrI;7sZO0$gR5EbHCN7s&;aHs}0@U2~3(L9V4QzzJJyCTII}=UCq6@Pox|3
zI3iE@A~&rv2*L7YDw}Kl#82+!icQ(1uj;;)YO*#?h-ex2oL|MWp1dz(LH-bA;WVex
zaMIrZSrnD<GBPZq3grVgzUOyxTibUIq+c^BrrRLTxm2f|N+i&Zqtp7(kM9)u%i*jl
z-4MzA5XGRb^KohNl*WHl?FIckf3EeD(@Yg*KPlxx^Sc@=tkWoA5c7KsO2#*d8-ADa
z8Jr`NNx`)7UGije?3j=iG(F1D+;T%I?cw~w3%BvgD-U+ojn)&-N<{5Cp4vLwFk{3J
zfjCBtG33pAl$RDSOq6;m>sMRayPi)T2lV`-$A%^`DLThFbt0D6lH8=eKnv;Oeb#aM
z1|iEOH9#WL#p$4xwx-r|sC>nuC&VMVcIw~_QAbMQ5S!#0Ahw3K6XbYgUBcx_!>bA`
z>;)%vsON{vf-YZSx8=&JRbHC!b$?I&JUKq`&dovO9H1g7@(a_3UMcBPUa%>~mVU;x
zch|Z}VfQ01^6(2JJBQ|G*XSQ}`oCU;;or{G<+erqxm@r-UbGrR;tR4Ky&2Qu`PcuS
zUOZicR<Mv~g%Bg|H;BYLnMgeCitcF;vyr69!=u%JHHCN#DSU8Ht8M&S<Vn-H9LgKB
zF`riHHk(9B4m9YLG0_4Elq5*g7Vd`!J#J*;@Nkh<y!$ROlw*vn2tGL4Y`HVte|!Ey
z+Sp~To<amxn{lsD;}%Ic=S`)RyQJWxij5IUVN9#Ai#-HyIp9TbYeAF?#7YzqpqowD
z%jj>Bf%HB+iB`f-cOLpw8v64>45)POsuIdX|K)C3WZ1w#h|2ulymA5|L3G;;V?@Zi
zHj5Iqy?*u~{URX56QFWWrE=-qXtg58_oVwaCi|+oi*ctXDVj7}747OnN-@xilK$@1
zaj1!@AnoXPd6lu8*qv&d_VazxRQOq5-C#3_w*dXbdxz!1<FHTpoQ~HcPBv!`WZgw(
z@+9to-uWVQ+^aey1*9fn0HxTV?ne>YGjkvEPKe>lRmWQdUe|f_R4?@2j!3*z2W5zO
z9tR=jopb|eM^7dQ;F4#BGG3F{g{<h-#_8O5UEw9^tLrlI_|*4NKiz5RkXSE&L^Xg}
z!vz5Mby39Ad_bQ`&Xr2J$UCUMI$uB(vIns;BmwcV3PQT1IuU}dHFd=DG4esz0lmN8
zoB~diT*#Q3=I2tLQZC7w8#k6XIoXuY<nrWE$L%cri}RnUd7zfxbsrF7L>XcHS!8wd
z)#)Cw_$uu<qccTyuD;jK&bSki%SmufJ&@$Ecg1)5jXtCeaOsfx>gn$yl_9DdVA_r{
zPsu}QYL`BruW(?6%0(3NQRI0x;<H|Oxa@G)cQ{;9c%x@eHS#`6VXcW+Y0dG@I~@3O
z0|g2<<F?KJMU;es_L{20fc4zZA+|ZU>Us<q*4o&eg6756hILv_kkPzq<nAlvyq6tu
zU0wINWgXI@<eU_$<)fbCWFtJN&#|e8g6c-=bdW_JBDcmuzbb#Lnx&|;O1z5x<A4Z<
z&Us!??K~~8dXyVzh?g6cZ*W-_c?UO!EZ4@u)6#o~!{ZH3)}!e3mCm8tMs%hva{nBl
zzDHhoDJNXYZ@3vllWdB)Y;}G^iV`7b6WVNr!Z|m2BhP@`UMk;Q(ru9E@Bo!DyUL3i
zxjcaKhHuR20E%<v!Pb{;GPixMZk0mco#?)<Dc9)#@_JWXS1$BWpONcW#=uFRQnG5{
zC4B*VXOhe)@@OXKA==1owl?&fs`M<;y-rVh>+h5M)a@LiDuXO)gh-1ANuG~UNZ6=k
z^rRh~5QbEbF)K_19AdFZHN68h9eYj#oI_EQeLb~JCpwY-jnl@hl7FnXaGh(NC5^e(
z0#2o(<#!c5l)o$cp6Wbsor<g$;<Ln}JHLD~4@IQPzV~Q@S05vhI0o4?<!CkF(aC_-
zCV3vN^F%;9F30GKAw-=UNF9m8M`+T{+U>4}C56L#VBynFZ)pP*kAs}&kd!W7IoUzt
z04VYo(uAdVOK$FZ6tR~VAt@pHw=IEJhJdO`J!{LwN<Mv_AqnXjLQv=lL_SL!DZ^+>
zb=3l03mH+g%L#0950oU4Hu|>Ntu5%ui~9x<fb_0~VKOa?o;*S!$V8ax_t(FJt`C%T
zGDj{1RnKKVkotwHV|t!89z@Ym=kyD1>+(D5c&oCaj(45sTyfOkPM57{f0y4$jf0uz
z?<3x|;=^~>2B0cyn_QIgXycz0sUn1ojW{vp^fScJDLpVFT=vcsPhBBJtMc>xs{YDf
z=ibXzzo*}n$J6I|GIP$`vaEDhXwDJfJbHlSuC2)tK+CqQXhrf$MtOaq$fSc>#%Kk;
z^?hH>z_q><@+|!$W51NoAsZla?LKqYY2nm|NqJ+{KS-A5&(oD($Du4_#1>=-5%hVU
zp|+NGP{))U6E7n*2e6W<`$DNubCpAsMH(v(DSuTu2UYG;nm8x#T91Qmbz1lLqOQEl
zgyLE@JE&y5yo;KgxBRV*G#bmT?=p5H-=#KwsE)ZmLh4-4Bf2d}OzU}vMsAF{Jp?qq
zb%W_QqXSO=t}zbk`AXgH!pBUFT4uJ+>w2%}3OyHtuM;qV2joRAk{h`VQ0fH0v<`SY
zLLxkP!OS@^5WRR`CXb{ljJNC5`=|xGJZ^~)D;BY-!_*ZN(~o;EUWc>;aMwwrYZ(n>
znMm_MZG7jsp`6#K4t5OOGhkb|GLYn4A{kR|%3+LHk0VxVNo6$frW!JTO>{zfo_;pH
zW0uL3kBkTxI#$f>JnzKjINIx-(UvLRIUF4HSg!|qVqw_xh7z3+5p`~D-WY{F;O6sN
z3V|Jq-16%j`n}H16>}gjJo?vlsjkS|i$ciHnxkHml6t4(THZEED1eD3I!7rEhJiM<
z7_k|~wA=C^_8=3`5P9I#|E%Au^ZfjD`qE|QF4W^!%N!ybwT{8NiF4mj#3P;0X$SP?
zGwk4@`eG|JjqZaKHlFlR$mc>2DK~Cu>7?3Ao!cwqh&q)*jM5W?pqAVlZKU(drZJkz
zNjwQV)9Byu+~x8Z2B$R8_6dzkx$hKO&z|beY7uKoyHDozsCAvGOc4i<B-O?+t?LjZ
zUnW08&yy@%V?mOVPP<$<{4Zbs*SC~<H(u8siXlY2_Gpb)AFSDvX3=}xxqX1=ZZ0m2
zNQ^P!Bzp-SXY%mT$p)Jt=1C!BHhyX-q)wHm#w-jsfjaem0+9?G?|_4a$H5|nDIYF+
zEIJ{`GyxVPu-dd)+im#^7rkdCL+7#@L&WiVOgl0+yb84!PrVYte}jCd3ZgpFVLg<@
zRtwyMoXW#pltlUlmIU>Lqx(W37-M;FO$KVkmu~D_DQvVcDuUc&p^ooDjIqqepcG(M
z?x_r}@t(QCX+qeHlE-pi(ywKl)uA`VN_JHDR7$i=R6rpNq0d*}v0Zp?KUpi|Q^U#S
zjJc)4M+T4=#n4Otqt(RD%lP0N7@fl+hiol!2+sfXKfM8WU%8(q1vSA^J`kFC(<Bmj
z@{pX0u{_2~m+~y&_9>MrYG<idH9=MtO$#}6wJ3~HUnXM<z&HZH0Nt6L{;QPs;+)fe
z-Q+l&V=pSL^warLe#>NCKBYcZO4P`eRQd0*5?Ga6-(q^Z$rI%vvS?J-c{vuO6vY^)
z!}*y`-A}hA8KKj$Cn*$IMzS2s<%?>C6G#tLJNim}p&HMPF?<G0>mF5`yNNt6l<`Ul
z=VKsQJ1;1-L8)JYS}f){d5n2uj40_8D3_1kag>#GY6E^XsZV-dazIPReYUI}z=TL0
zGUJtUOkNC0fu4Uy@@|rp8)BriJa8N<w@$5umy1Ucz^z*cxPQOBOS{y?ZcOGOD4C_^
zUV!w3T1KHz{HgVb=qz*%<tY%O>SJCOFQh9t?vI_4{}$Gap8x<;LP<nHRK<b=%4g_#
zQ7?cM9=#~*hwP1*xAvaOkZN2t=1ytrE%jV~Q8KLcGcBw5@}Q;Jd^xy0{3vPT8PPc@
zhs@VnS0X*Dl-m&jF?yD1rEmPG<Qm}ePGVXnP8ZDTz5phRihq6HXpLk{p2ODxaN`~d
zUR4u1%7x1XCC@?ipKCET?xYSk$Cer^j;?V);PBa;*K#C-wj|gaJ(Nlh0MJu2jTy@6
zPSHxs-ecKiJ*n?_L6Qgr$8SlKUR9U52(`DBCOAZ=Ql9tKxYG-Bh>~)H?3R7)ux-$D
z7)!EBCIxB?sQw0IFZrAXfWme=AqzG`z@sQKhiw9-U)2jWovQ!EBIjaVbcKy~8N_vr
z$<vaYZB8~LLQLe(;j*j~j&f7v>=?z~)SL70PTo=ac?hG-NqNo~bRUk=C#e7H-zR~r
zNK43h{XTk%tNY31H<J(h_pFx8bk&DiBQB1!T+zRCWuyY@Q>7eoe2wS_+&!W!j_5_Y
z!d}gKPM?GUw<o1|&>P~!2=*47>w)BfOk_9hFF-aKNsiNaX6`!QS|B+KsITgNJZ9pM
z2v@4tNiT`gHl0gel+-54K22BBMs?EO4*lZ%<N0+-C~hSZZ!K`1Ja93ll^zOPez+R(
z@MyycVQIq@%_Qd^!Z}gABftrJ_vxY}Ogabj3x|Ww<8awy*{5BVHQ`p27bsSwoO4Cq
z7S3PT=gG>syb@Uwf~(Ci2|MQSlWNe-<ujxAC|6<}PjIe_aL)7F>VYnUBdZtmJSUR~
zO@dvPn0yT<TCIget=Lzq?oJz}Vs!Pild3kpsy?C>22wOdsVI$NrEyE6L6lvfCONe-
zL?H#rcnX0Pz=EVI1gBCiY0`|Ms!k?BCzE5{ziKo`*N!2l6)4)}kiX})FLFhBQK&la
z;X7Huqtz(RnWH=hQZoAveTS3~x<j7Swy#>97FrRF5b_T$?Jl;w1Z7Qw+MDz0<j?}0
z+eLdEumT>_^(UKvlhuID5V-%q$*y~V^r4!Z22@|6F{Vz4!j=w%d@&zWO584Jqc45W
zfAjdS`1JyOET;aH#;V*$QEU2OWfoWEq4%xFvKnj2qfFnct*8`7lu@`BDtWT|ce?GA
z0BZbl*S+SHTK%yg_LXeZVLVLiL$AWCm3bcTuDFjFPL%@foN5p0|Gasa%GV>|*C+_6
zW`E9g?VVJ6Sx0$Zc2KDb+TO0>J?>iFi_1O+m;VMKQnRO)4*M%f#5~_B+38w;m3PwI
zHB{bhxyHofwyn7DROIslY;j#a#=D1x<bjh6O<C9?nO4I)AkvnLk@~vsCk}8zX3#kz
z3I{~QLFV>)j-34qa37%d2c1&-1=TSi1{Ej6hw2g};JB{A#8W9(v_6vO_b5b3EB`OO
zko0{(NZkE(R$VpvZ~b}hdeZYqNJoBfoL<NuN2#YQJ0e+Oxh|;gh>+85&i8RB<c%Zp
zU3vXPo=<^|i>hr@d7RvpiBWYO%cWfRM5bxsU6VnDXEpVsE&4<RB&T|e7>9@<j7*wo
z(k;?l+^A-G2Y{+n%Pmj+H+$oe&R)oLP$+fUWJS*p<!4tsZ*pBjR|lrD%exd7-7mb7
zVR^jqZrZATb9+B~`v&emI01P}P2`u>pVW7~!2@}?GWo@NSe(>t)D^DY%>ikV0TFA2
zQs&IS!4-1?+gU2-wsRx*J?>XjZ))QmCN90&U0Hj}@%>6q%NUVma=^(tg=tgBc59;>
z_9|w*J;}Sx5U?%DmIIMgj@zH2u=KoFe=d%>`3)^-zL_PSLQu9cupUNs9vT8L4nY<n
zv(3DTNv_I9T<X5LGeqta(odRmZ1rJsNu2$%<=Ad0F;K}jIVduK7F&d5to4Z02W3F>
z0z~K0b-7P?ArQ&Vqo0HjvB~l{rG%6DlhPq*Pv?4*pZfW8XnNr`^qXM}y!-rSkd0|+
zL#dklb`I#^;5#7tt{RV3-*xS>a(`8JKk*+SCj0NacwL1&hY<0FM{9hcA`+j^MB-V<
zf+P@A*z&{U0S}KiI9`vLK+F?_O1`XDEU2@bwgH?2`kdQv$vdR_JiwAy!u)Stk+YC@
zM9w#Mh@7l*ZinMt-h=wD2nRA~L|BkI?tq+QL%a{UEs`#$AUpF#h(OZBAFqP&u}ZmD
zziS$6P7g};y!xJ6nag!Yng@FfQK|JLz<L1*4F?_iSMF9Nt7~b3Dm`6TiC3L!qL^15
zjEc5TzjL!+c3-C_5+MbY5Okv8QQjZgO|Q!nLf;F~x9AcvxbP}jb|(Iu!`AWJ_9$(v
z1fSzNou^`=L<aE|)DsT1*K*loz0SGDbbs^?9RNp)8_F>Kxo}(FrA_y5?<bR_P8`f_
zravpJHY4sIZSde|Ba09YxVh}{+^q#}-%wuNPJT}^kPP{uCbR=>3`GgV^YuX#?lH!s
zWbw6mVx;y^6J%j9qg2LQ`qP|F70WMYRIN(5>Vwv?<W!x_kPKb0p*B$<V||bEOKcsF
zO36d}{aW&4E8Mi-@F{xdqOZyIvXB>5AC>-|3_1$uDZN$5@ZoY(U!czj2*Kqs84#kA
zxlCzp#hhH%sgpW){9h?ci}AzCG8xV?Rtt}2=O*$?<~J24r;I*rn3G(fP!_sF?KOT@
z)F~xszR?OY%SNcV2*6^|V;DxB_q~1>Cv{SWY00&nI#0Xql0iz(rj`4&0fFRmuIK;S
zlakt5=6O~7Je5n!N}o_VT>h?=e?aa{ZCTHO@?AC)kj-@>_Z=+=Vt!!RM@!>Ud(TDw
zaa3bn`lBWbpvp)VjIK95zYS{RqcN1^5`C2W%IKiBNDq&Yv={PYE}O2WT=z`z72{Jq
zp9CY6?ACKZqm26d9Q1WmKGjt77wbcfIaSNUqK}ZQtNKe@R~0!(*TTt0P1Jq>cupPk
zygJ6>npoGLDzUUn8Ny3DiZ6TZ5#-r}n(jO4zlD4*$51)O;<U~A+Uf70&h2eq&5SEe
zq6WHeh;W@pr2NpTEs*<bSG5(5CoLOdh}^ExWlu09(un0C(%(oG9|Dq7h1g0|FWMPJ
z$UA`SI^DPQCT^2*HDp-3&i0Xobg8x*r9Nw=g+@st@s!-x`amb-W$#mHd7t}R>5V2i
z25F&Nr*vw~yQhKH`zegS-h`_5e4Tt(pLbC)+vXoii6D^?%HuuCqC9Q(f)Ej0N~OSk
zC*QB$yejI?svPRimB6cJ6PXF{9H;d!Wf!H~h@SO~VuyNP%3Qv;n}&&#PFMFOpUV=W
z^5)J2@u2LNa_-fOmg)O4du!9bW%ds4x-`#?#LvWPPR?lo^yY*`1Z<@<ki${mIsD(g
z?ysM#O<orsierd)?co})K3rqWlfbg~c>dV~JbQD0A~A%BlTGqGd~iJA{-X_!)&tgR
zWkp=1Q40K1f;!v6JM?{WH(&NXyPdm&eb>-AEOck5dy-PU83K-1V+wB#rP8?VFFn#H
z3jvPGic-Pp05yq<-bj-)c)%ys&N-&%@-^h$C<2YiSQ@}k1DF+Yt*oc}YNdz=6qQSB
zuzG?}WmS4=_8O)7iYm;sG`x!N-uz%qYDUx_nqN<iW><E_AHGI%(bWno3E#Y8nfnrv
z)-+-F<mpGGUq^kDyj&d<0Myb2Nv9OQy~(@~aXbu(Yy$Fbc2Gn?Qq)F8a8sWLBDY^X
zIhPZ3sTj%M%6L-~JM`~r?9r&c+aQdMRg$KGA`RLyQ23gv-FIE%v(Rylyd2VhV@}8&
z)Vq2wp3D!AH~8GW6FwKopkZ^otbjCzl|su0x4n3rd`fQp4qXJI2WaCEx*fH1%n#9H
zF=SyDRVfjjcn(runVA~2QZ;*i8@66Bb5hlRvsi9A#>JqhZ{!-^=o8m)Zl+kA;y$D_
zAlZ%H!ROyQr20!asy$+s#k!1|aMQ|Q@w(b*3;_eQd}yo&({E6AtGdnhm9;!QG(J1^
z{#+fE5T@fSM*ztq<^bA6jbyNpZb=3MWR#}&8FSxtfec!Cjt*^MMYq%Wtn$1TQ(e-S
zW*q=|(JGXL9E~Ol?S`v717lt1>9gMi*15P=s{ZJTlhS@NZlg-}pY;%@+E#a2eP7Zs
zoJ)BlRsJdV#6+s^LZ|RT==rY8sVc-HqR$Iky;HlzDuQ^Lhbc=LHP5xY7WN6J+I8I=
z$m@_cO&Y5O9oa}J_XViB=ebvTn^)~ulVNmCI_G74D?^Mo$50*?#W<-AS?Y(>-|D$r
zeW&-~_bujzD1Y^QNb(0VrnKQK_3PBBX?;v&4gjYP()iI=P2{<oTrz>K8~Q#o6!t<X
zM?|;ws*REkD8@H0_BiqOn{GUz^S7y7fhhY8J-Z;lin2Mb7p*&TJt+N*79)ocu^C3m
z6PWX~Zxo?g*lj59BeJioST_<O7Uev(gX%LVyNtR>S3G!5k9E6Omr-35<b|tbk4t(t
zEkF_B+_~i8lpHCvp67HixPUR1X^RRchbV*<zq12ebcilWnh%yCv8)$vYtlVsfr;cp
zI-UMzlQG$_Ej_uqA1_)qzE3A|y~rZZWY6!Y7wYJDQ3(mrW#sv#?xl&NZ77H@)vo-V
zK6}TDa^1|e)JIMO@?Kl34Sr5G0qf0(%@{F`BVvpxFDiL3)7Z)5fe6V|gQ<^DN(Svv
zMb%%+`AM0oYA1v^a}j1wY(+~3w~p6s%hyyF(luW730hpxa?z{LnnO7{k$F$#Qp{;j
z)a$wG@8r$ZyvV<a)w~My7qBVIQ%xu`k@#T69yR+Ci7}>J4#%qj_m4KXf3(5FlYw`X
z3z-29GlO7XkP$&SLk^c72YrXdBDwHt<0^(&g(E5BD+~GcFyeSURRr70tdj6*5~t5e
zMCNtj2qEY4L;+^m9e@B=Ti;4KtXB)^N+vNtLO14mNk68Q0UEJ-5+fyjgiJCm&k0$5
zQ3FdW4WM#XlU_9eUKE`E;L77#Fo^;|c`TG5a!7rlONttW81x+8n^)vIWMwdg?{a=E
z=h1lzA<u0@^^sRq^okngZYY%Wkn(wk^}u8w8NB7H)}ExDGFECM0s7dC;WXP$l{QE{
zTLiI^#)Y!sSnxLQ&zF-z>57xBkXToKRhLJ3FQ<wXb!U+Lck<-w<@o}-svL2;?&j=I
zn&d-O9RwMVRbQTK0I~ok2lY4UFXYuQ2Uic8tc{l&mpbUm;c%7w8&MjmR`YRX?YYiX
zZClq}`A+=Hf|yi4a3n|d#GXEcSe3tczw+y(sf#itl&k+y{a+rNA~rwkcGl%|x$Xl*
ze%Iszd2DcK6<tf(JxwbVdO?de+3QS{REYfE@fJmyXHN2Fd~`?&Um+A?Q(L4%r9xR7
zz|+q(4<Q0W49#IPnR}>yicS-?UI?IW?&_|M%HUzSZR}R>MekFtsF$R$Hm(-E=Z?vQ
zSWt^?YHp@JTNi&KIa=?+Ls;5R&lfCPRR5$pU?PdjUcX=Ykoq^;(4&6e@+PHglIPY;
zh@kgaWaFYIl5&fINcA@4aH-9ZcNxwE3WZQ5&j_g#DfcwGW60sJX_GMJZI$&cxExLf
zz&Tpvbw!zUm37Xuo<i?R{h8*P2uZyYmCm5QbKl@+I7#QC${!<1^j!CyLzfcW$R;e5
z0!0~e+Hli)E0v)pZR@g>I<D@|Qw1U*^4R4%Q14Cmaj4SIU^{l5-}PfH_97ypPwk?^
zN?C2H<N}=(8CZ{(YF<!%+5w!BfsT3I-*dk!^!1o@ES4df2(S8!7U6n4Q`!2&%qT)e
z5i?LEPF_&Id2@+-_fKR4%|S<Dl-|&VnN@ts{e})f^_3Y=*@?^?`F`6Gb=&T|x|%Lr
z`CZF+Y962ELArkgB9UEyb3!7ge3;3`J;+|IK1bhB14lKMbcza!Vj*wzpcY1W?2)5^
zK30vZ-L<?Q^jxFsqt(ZKKJUpJj%0kN!>e;zG4{ap#kB>2T>Yi`)ql6~8zCl7{&n62
zHvLVJmF(G8=VZ@=kD?})y~m9MSs2pbe5f<~EY#O)#3-AvZiY0r)?->2pp<Ilfk&Uo
z1CUY)aK9maBi~o2k)t_}pF1gtlF!xgnP0TtW{+$3LtSHqexhU>>DJTh-DE7w?;M6O
z-zNLwsU#G~5b=cvD}3SMnw6A;MTa}LmrWuu#?(n4tp+@Jw8m>kYdkm_)2_>7#4wE6
z$T=IRk<%b^I9zl%Ty}Y2B|=B9ygLAh$%`;T@}1EHREMDGd`|Q}>A6l>4f&i)MhLO{
zERbSEBqcnC+#%Ddu0!AzB2EZSifKOPw56$MF8~P16N8ihQjjE1fGA=y|0nMv;$IXA
z6h_d+4OxL}e0KFgYA>2Rpol(FW<7;)$tpzOm7!{`bCSOyw*|b*%W@784k2%pLc5}A
z1zIPY9>xG{fEdRt43%P~1Sktsb-qR770?Zj`FfuyNTNxVKXm2iIfASCFelH^;pVZt
zr1~I)9E~x6x~uvnzd)RH<?Tf)3#oHk@fG!B2-K!@Q8j55hh%hA&#OO_zj4!pdrhKL
zU##;{y~G?IF@5Y*do3!y`DFQNC2RGBS^svHgp1WR%?rWC0ze8{9?9A;n&eV)d7~bv
zajwEAT-qhHHcrT^T$DcLl~x(#I-licGv-|#bFP&^@~lWI1Ql+|<GJcFvFv}kPL)1C
zqj2bB4MUR4PIF6mEQ>Qmv7iiBXoD4nqV1{iocyNV*d+A@S<oV#A(80;dHD^17<UC3
zkmoS1&}xq|xsK|s_KE>wRJ$EY9&YGbEab_hRc<V0byWs^WIF7JGq<^3+1JW2jaTpF
zTtNz^k4pcMcgU&@bjTl2wF{8WDV<2aSFHw6l!H@8wXRSr{OQA#q}A8QtPDz<MkEir
z2&ng>@{2Kx@-ver(!aaxS>9zg^oYotYXHE_gP!NpAp|BKsleJ86#XnkBv6=EpTl2C
zu4z4`Bn!&#B+E#Cr5#_BE=(R}lAvB@AMcRDMq_%X+Vg{Ca9Qs3A!I`nD90hxyHUN1
z_noTe>N~e*MCw0EM`t59Mo!@o^gNn>!(sjT*)HolGt*en|F}HdAE-=;6y}cO%6fnk
za!acp1^p6b@hF73!l;W?`Dh$%lT)+P`Hm;GFde7#LFqHxhNJ^Do?V@H0DO1Cp4a+)
zXc2*;#5xb&I13ORfkSg?EV@K;JC_z<C|5P77zmPjiu8QFS%V%|R3_FEN#}3Q$7S2b
z{EkH%DIJc+#q`(Z7Dq`h$D~eO-I}ia4U{gg4npVG14;su=XW&-s2$|IS96HYTOV@{
zPs)p1y+$=Z&w+_b*1gK_WWSGNoK)355Z$I+ylc&Q#d+11#1V|+$f>gcH_;g*WZ{SN
zEq5LVYI77K3~A?Z4$a+zFx>gBF6XfaaJW44ZMGtDJ^`Cy#K|h)Xg%QQWW>>W<V6CW
zb4V8mU>&;{LyeAc8LHT%Z|Z}S2ewMEy;RG7K2_enc&Z4+VGQ`f!!=&3h{WfgJ;3c7
zJsSmMh&Wmexc4w^%yR#DgOk;ORbFK}D;$y_>%GH4?{To`(Dz<eKb1fqau{Jw9+(Dm
zhzKb2p3tOC0;*Ipp|lLGWRsh=2#TanJEcS<zuAy~&q9YLB`sjoXZ=|E(3*Sd;}?#`
z&07jO)eH$-3gu+aNK(3^QosvEobKl)&j4iNj{G^-c@{cjj2H&GHeK1OPklfAa@E(_
zDmb+<spsta5%qkIsiL*zR$Bj<c|fUHx_o}_KFtIAGw*sCi&K36W?$T0Va@kwU|ZeP
z`9I}EaaC!^>R(jFoFyb@9&=G(J+e?Jcl@CBeXp{~Ma`<Mjq~bM(KS>*cIsf!y(9fj
z7Il0+=bZz29I`z^Mg<#fLO2mA9LF&!UNJ8o1R(g4uTL_bHqJ<j<`4r$O3tl}gk*pM
zL|OqNcc?slRt6kUcv7&Jlha{mE_*6Fm5VfA>&WnS7-K*fV@?{KlBTc55t~iqm27R~
z#0W$u3r2hO)h%$<2QA0-RWgIlv~hlTB1{~d3(}5R-cLL%i${>`FC~<am$em|=XEY@
zDgcF-5ib<kax3%m0cjBt(S!V)o!3uKzl+s7mh*GVxU3e6lw6z)*NNak;Vj*1Pkr3!
zzxBmc{pvQ=?KeR#@0cSaMty>Qmg`V{?xbL}F-CNgGU!VkGY?{*)#c>Ih;>nu@tYQ6
zv$u`b3G(kW=`6ZdIj)<FajG1yc&3~qk2`=oe~=a{qbyoQGAMO9_zvRH-Lco0JfrJ;
zN_mpgn)JQLGKWizF(Ph~cgY&r6Hs|)rkrO!%Noad(tybMFIUQICWHtVBbL3Fx>Dtp
zojhIMI502RLWf&Q-Jd3`TtkyG5fV}>o0a7>Jt`bjrxB3VeP>*g&$cd#0@AC1G$~R9
zsY)->q)C?|RRIM>dWS%e-iv@p4ZTYQ=~cSaND~1e^w1;_2mwNp8~pEm&c5e<yq^wV
z@+0qLX3ewKde)kGr#MbwI8lp59Ws2YsKA$Mv`2hv5q<l4h*LXj2@0Ehh4fmn`4Zw4
z-7-z~fr<`-;x4{2j9hox!SoNHBh;JS(ZtaX(^}cSU;b&PzV|#8DE?gDV7*RJDd1wv
z{*CJt>R#QmG|>L{m63;L9Xn59WthPM){q0^I9eFBmr&^hxRp89O5nK6XufiM&n)44
zAZ5v_F;YX3s=zAM)N!o=soe%?eBNqj^JaK_SBLG6ZVAsU<2W(vG6-f5^7~ols}(<R
z-d;YS87G=>I1%2_Zp`yUcH#y@nu+XEjLpjRWVwY1jhJ5VV3G#+;;G0ZX_LmvYQsHI
z?V(L|U;PQ;H=G~+0H?-i^V@c8dxQ1EIYJ$N8+E%nR65x@1IIG2tp#*H%@5p4TgoCM
zW_e!n5}`nM*ubQ|{IQ{s>5DayYNHp3m~+^!G*wG!t#!@=UCo@w2v$i~-+o-#;ve!6
z;UpvbX7t<$bcfLcTpnhCKjE5;YVPSbHX+%L!~JWn?7q^9%!fM=j@8*{!H!e+$l}?U
zac0w7B$VI7ESmWAgDZH@_;({~ubsf;3}IYko3c>b^qMdg+7Y)sEm`gEJa75L`27gR
zYYI%ro`vlSzFKkCBAHTM-iN~jYI7ysiyK<G0H=^(#FsxecfBM?3;Rx54x)5h0t#Ci
z_4wi}*~wm_k0%!O+N&y0@3;?~?|_R5tyUK@8Nzm(AL#0`Bzd`rnN1AWMJ4=r^0jt7
z*qwR3FaYvkFt%DGetJF4)^ssvT%c$X!7^S{I;KlHkG1e(1dPRAe>%uJ<F^cOEJ)E7
z*>E(Cnz~F)pXP*BGpK&*7#fI~$tl>mnEy#65YVvEn6ZT4$)CpB8SeD)vex24PFx64
z_nV*dMiZm4o^(JaiP%=_m|<!I&E3(cj8m6m<t5ymImxI42fgaOr;g@7)>F2CVK$d@
zq@A@QytmJ?N;8?EMcW$F=xy=L*zeYp<tNwkmPOZ2C9baa3+HCC6DR$YGWjwrvN_S{
z3*SbvBHu+?16Xj#dMqk7Fkn}3JXUb1>I0D>NH|-r=~ahnWwJ|J;xn9g-KaJ@3(pKu
z++$%)J;ld)(If>i9_ekQg+gzZh6c`Pti8!ADOsC+7L<cNU);j{+(FQbYt`mOQR|?0
zJZEe^)}O6PEBxRJ3NW;(q7D`7d=Q<6-*%M~69c$mkRYgSuU6=rW9Ww9maCguyM^#7
z(s6L%+WzkRlq>#W<&*lc>Oh@8RYL}2a)Gk`db;ap90F`UxbnmpHCI(k;%|k9=!Ynq
zSps_Pr^ExMZ;+sRx><WwWR$=iI##8O{?3@Q9VYGRes5Ozx92D6!*1U618TU%<6B;7
z*DzLaavR*cOs;x$jcm-Y;<5Ro=p8ZrR8}6_N_I`6yEq?{b}x`{z91%J#1y5>Y{p=y
z2dmc1^tGPRfK18JHa*f(fd1suKHn*eU@HNA{YsO9WVC4eaKezLQGx!^dEQ|JCb25F
zr>y3frbBijFD(Gju%AqdNVn4#r#ZLXCQo&_2Kmd)vs`u!S@m7NYvG=^7jI##2$Foi
zd}e?A$of0GLcS;)+05%~VF9-sN~_TDwKQFRO8am4y;}Z%QmJDVckIqC8QIsmgD)QC
zlEY|dZuO4@%~ujUwuxos`k7OwNj-9WZ33|`bFCScH-WA<3vF9xBt~6q{-(<RHquh|
zsd{*t9UANz=hEArQd-{HgDrOyd0l*z{v$4opPsU-@>WA)!|<zGd9yo}Bg+YP4bJxW
z?^!sGGCX#8rMSqSQC~r};-Ef$PyGYk3QR|{XXd=jg7yQiD%*V<n+)KbXy9(pLq0Fb
zs$II>4^f^fP57lI6A2PA2)o-cv%|v_kUEPdsyk73%I>uDYH@XfTD-hWoTRR)I6kN}
zO65?+`XKsEk1Rszn{u=k0%j#SF`t=yqmA*I<sLkVs_qyUp(bzrhyn5oO>DVnZjjKR
zP2{A`;3P1%Q!dNgHG!Fv$s5(ze7T_B6mokmh#i!}+LURE`Z{C*Gtqq8dMy7-RE1Np
z!sXWsE~AL=Ur8G4V*IlvM}W#!PdI~4^nP718^Cs1t@oLG8im<Pn98d-W+^1Iyk;U+
zW>CG--&H<Q+`xKhkw%IJmtk!Z<`<l}rp(86PS6$>@y!W=M2TtqH-InC+?WY`fU`Wj
zn}NbHGj<`*3W2Tf22d4?gABxRGI1M}vtr1dBH*?R*KIHEx$5ldSD6>`W%sENipj(e
zaJyan5TRjY%B{%W^$#$ON-uV@*`qeNruFx0W{&_%5w*y96TXv2k(7@NJrP!x6K5BM
zjmB+rW2!Tl(bVU|o(f4wxrvkM;0>U2&7U@dO6vi1Q@&Xy@}X1WdT>Z_w^|I~$MOEm
zqG(|*$U<LOL3UGWH)!dW;psKmQ2_cQBMm~AE$Jb&LX0{`3G~e79mn!s^B<0ZVJ?*K
zzF}AqSlz^LhjrNC4%~-hizF{Fw@9{v!|Z!Py@b@BZ+wCb)myd<CBeKj;TgByS8F?5
zrbv>HUfJYNp`C~7!sU-f1d?TucddPX$H@dwUbcTvj>#<I4^8q_htO!|YQG<~gew2A
z{#GU=?21Ho<e%-s4puXQoB;=o_8oz^8&pX{(}_yqJzuQn=aGwEBl%kp7Gg(^w0kJU
zflngUEk84}-H~sqjuEJm{+8jRE%+TG=?pMjc4C<DP(F&Qpv1I3AcT9pfLym|@0XnV
z=YuvY*IUVpRCMd(8AIE_{rn|bL2p~8C|-Fb>?<%1R3{35@cke=6BYR^&XmOGdkiU`
z0f??uZR7gLlAis>ur*8i41K29X0GXcw=jRgNR-DHllgq(-(V8U=swCmM_A`~r!h>3
zou+Cc#{7;(JNd^!gI~|HGH0XXMP^k=i`7Ptv~4~vU(;k41w54(4fx8zH?$L|ziRS$
z!9i=7BsKB97Gq~!uR}tbp|WiTTRBCokw@l7PMI5goR&P_bpn!Z%@@DAGb6_NVQbOT
z_1(vf+<LA(y+u))UF;(PSW^8L)H}r$!wa7}DRrN(^$KMU2G&VKH(e@z0$(YYo(`71
z^;7Tc2MpCOIi(6CiZohdZpY6EZ(7a1Rocl+0)J*)`2Z^|zE+yJ6E$T(<r55PBUfvg
zf}f@3oX**ar7<#ZEG@L9%&49xoL)Wy#B4rC{G44c-BXBq9|Y|WubrXW$ZoSbCZ2d-
zWs`FoJ62+KviMs)uFhOB>?SmKy8t$~_6jto5NXk-)Z$tK_W~KW38f6?QtC`b&_g4M
zL)alSF*CMP6%N5^N#CDHsGWwtl6FU4K-M4M#tr!U376*^A`2j?9TB5%#JPUyxf_s4
z2}j~jQf9GhJ!DdMO=o!%J61Jn0l2@V8}r%tQgdGD{B5Un39ve(cjrE>;Wi?wN(S~8
z{^c;~_?a-Gt}8}mq011`L=n_MoDamFK8^nq%{Qfbq=EYb{5BjY#C!cYO%1u>Z6Y3?
zlOxX$1$qV>wFceJ9DYHW#UZ>LU_K*j$_E5|D3^3qu^$t|og?dQ!WNq;+HcrEGkLE&
z^JX5*<ph?udZt5uTQ~d2_<nw7W43R++i5fY2!9#z&#}l_A5ZZt*G^eBugzEJCj6~q
z<ZQ9Cs6VJT>BX{h7n1XZ&0V|X64(js&Iu3k=~?_^QzsMV-&SHpGhXRz3uhKoCx-!!
zGR(HfmXaVfpNV0*4V=Xr)40d0TF)4pL;+3DwvqyC_4nF5E-H#0T@CqpqlRakY6~-B
zPQT9HQs2@ek1txzfBKYSn2&Kh<YvXW9$UE#iG$i>B;kXTT?Hso({o_;CzD{v07iW{
zGEU7S5&E;G=5^dxTSTEb2qZW>>s?|5`_56RtKibl)4$0BrFR;#*q{auA-ausJV?#@
zDo7f~3R3p<)EuA6Nf~#|c3kg8wEeg>t$Zs0yd~8sYQkJsM;p4By({!t)hjNg@>cN$
zf+sFH_MMyflexX|4!Yp?xPa(|t(U>=3%No8ODTTjn_D{UW1GCMlEC*=Gq+Z$Rq7^J
zJ~19h;~YvThP2(xvmxis2e}QRqLa=1Zf_Mdj(xJbQljZ)lRmV+Vb%F?2MgLYp69*f
z4@nAHnE6<#ka~_uXIHgPlgb={>n~5+pFSydqW=v1UM)o;Ho!h5LTdeGux6sT>&aw>
zG~Df3+uIP}a!wxm$IT-8$2W`$ldIZZu8EiVRl@pxv#bqo%g8Eds;5Se9&>rJ_lqGS
zIf;&(_?9H*YJ7jr1ggfx@UU5L_MOC08@(zPrh5a4xa??fziHEvy|w>YesMOl4Q}1A
zVfRKl>qXP$UG7fbojxf?o1FoYY^rH9snnZ7xVuR5Of(pkK?zbFw|_hSa5??y+Z`8%
zg}|uolxZ^~1z#?+4Jo?(k<H5`=4|&FjC0-LSvy!m<p_t#>5eB()~jt}igJz%bE>%k
zU*}4MSS866esPmI>q6`o0cJNU;Y;*Q0}`X+ay|-HJ|ZEIizS`wEdU52?~FMzC9l#_
z7MyJ6V-78@k;6<(`(?LlJXfr&ZUeMm#MZPZM~0S>4G?Nz4Z~crsdG_juqn3=REK4b
zpN(e$!)k?1f&-N_EZ)&~;vN-8x!Jd}&FkJtkF*`~An5vJ!si}uQYnoTDDd~{1>V2;
z<^!vu<beli%SHTDEty+tld#8Nd4AE;&xBq+Z>1lda+6u``3CF%%J9<J7&!5*Z4-u4
zhwgu{V!cu7Dv+Fs65!afVmF>a*$3Ck)(pP)qYOXoNE*=;v3(_S@6zLOw+2QpH{$%d
z_T1a4`TG5qWUrNt^PQj@aC3c`uN9ak1wLNxbg6gm{gtZ(bV7<L0OcHaG1_!@FD+fZ
z92_M@#cSy9%7*gQx4GRO^ec_#O4^l(JMVm5G&OeuQ~;YAX`GmAG~dQ}6;<ze;unz+
zy8V_)HSv~bEA^^9d^jV(G$j)Ig}YHk;e#)iX&_sQLaEjq;{J{N4wKDJfQQS^PILX@
zaitMiroj}yvP5$#?!i<Q3kGHU{>Z$cdO!0M{HMlTDed&&ZEjXOy_?E8W;{l;B=(Bz
zJ%+6I)Yr{=;REYI^%9=ppW-%wMJRP21%2>FR#gn!GY%)$*t!@3_wTL5Y%40KY~HWX
zA8$GgKg!BcNk3ACHSYmk(wo8#G%6u?p;BshTRt7vX0jxez7{5CUgUpx+j@dchZ|gP
zd-AC)B=_@e_8?&vKFSnzagm&mYciiT3)n{9i`^hMOkxa_agxutI4==#S_+O2`Qmc)
zaO?h^__x`U15X}MohbC~13sg#-@VB8D<#)~4q(&N!`{-#&}P#Vc?l@Q-=;1@mT3$&
zKo52^<LCB-A+|^<91%MknBeh^gsOe-8%9S}W+VM~fjeKlU$mMh4HX^zB8-;BS;@>C
z>su#n9i4ls`KXxAG+YOccs?WSeopBFe<M>%^h&0-MU*J~J?DsfJkL$Kiuy2K8>(8_
z<+f-h)}q6fVXqCvG$?wP{UWftbAQw8^+6$M&vNs6=-Z)*pFxuOJ4no~-{InJVb$J~
zb4%ox&rgkBx9Ur^vZvix_4=fF6lD%Hx))siyG_q`qTJ->2Uxha^L=8rU(?a)*2EPl
z)<Y4+C*0p;AcJZ~am7rmN#j(mZW|CON=E7DE+r{q0W6Uu{dMAM#UmcywY@fFto(0P
zT&!!;Qgr;Plxo^LzmFbMSI9|dAb7T8yna(reWj}V@qv;Uud4Lkr`nds<kpXw>lvhb
z4H`d>!pr=l=1&0%;k(5ATBM;aQ@41Zw6Plx#LkO2_SXh|KQH=Cxv8Jg(>c0QE>f##
zHmYBL%5Y?qOSmEzi{%$dA@$aq4N~(mZno>O$S9T87SA>hp2&K>@Z$FtWq<@I*Z8we
z#8kFVcw!YXC+{#>($;IvMAkO-%-bc`6rXIAZ?mmg!^91H+eZWggyqI{w&4Ymo21Gl
zx(h4(QFjB}&pE2tLN;ZRG<)rm+yk%`#ji(v(|?b7mgPG8qL%H1s+v}pl4mF0%J!Q<
zL-Vt4`xVKXb&YI_cOE3R!JX~uy4<St#|ghbGGwb^<i=-IFg8Fw2iM5>(wV|`ASS__
z@_tryu5`U;-g}vJU&`0BO}qD+#y_D=A2jNIdN_DOx#(>x^(JTcYql|4y)o&qPzZ-f
zc@~Ky7o8Cwf%`Q9de9haoF80~-#0I}4~&E9+lIU(w>0DdZt3auihU%sq|2!)cD6Gn
z6LEPl<50y4j(j0RM59n{^)hbrsMYh~@E*cHr{?o+=!nN{M4N1gKuKNT>*wsq_F;*|
z8(to6*3j9Y9p4nmwB9jP<xYD#Bu}n(u|~L=Uv<~Wr1l&utFY|Pct2XQXtvvc&Hk0q
zXKLqr71C5~uA{+sATBm68y20;wLR{pPQ8Y7=_T&^F^h3bc^|S7EG>g@M-t;aV00~^
zfj=2!shBq!7PFcSn4P=58JY{~3comb6}>nd{Ce5zG|O^=5k7)kE#DNFa4epw777!d
zPRe!dVc>i+MPx%;3RC<59E4l2aJE*hbbw5z_GC;HVab8{MS^$QG^Xzw25MAn0@9%Z
zkNVu-zgRay-4svCJ5ic^NoyyBtIDsNl}=8hl7LarZ6BTU{7jSF_Oq1+R;ZH`a7k$1
zAoA%tNc-Jg37J01{-s6iciU@(I75y0{j0Vvvd(zArRO6LW~kGGzsuHFj}~Y?;L@Do
zUNP8MiVE~QWiM%4^Zl@AM_EXWC^Aln;g^zJ>$aMBJ<GrY*<kZz_BM;%?e<iZRq)Qr
z6$Gh**qUPjV6A&yU7v6p%z>1G`N@bZuU|RkRp|E@N2eha%&G*ia>|%Z`2yG7nNFvP
zyKE(1{JAu;#I=u`B3C|*{oGKT*R_lP*d$=Ekct$Ot?fa=Pu~AQwor&Qi98pU$8tas
zKiQ<9N%+Lk!xpfJJIA@-gFNCg{#I>*j%NseDYzB*VbLSiIk!5aGVp`<g__Tw1MwDL
z!?;+9;9c2FsaGDm=js9k{dO6q(4z2a73wO#N}C!3`Sd~eI|G9~oP!1_jSpA3o+LEP
z4{KJBzBkLWPxmX7=Mk&8g??7@R(GU|?Ll)&dEv!!m!d7p*658cb_qxhZTHvBBpMPe
z<|>fJW++zoqBo8#?R%nMoVRV`p2stcRyUuUrm;d$?ea<8bm+mg{?X-}g~N#VTDs{Q
zZ<Xu0ScufF&%r(w+_Ns>wb(rCfQeTfpJxN`Z+eFe&9l;4Rl5xoVTK=PVR;S1#W4vi
z1pxi2(hi*{y68vk_uca;QUDy*W<R>8eRwtncLnFT6*Pi$rNHHI_e8HY-AzSxbWsPR
z0=Sk~05n>-oCvF|-$VcK@(-t<1$u*ugIxX;Cqkxvm)0A)^*^&VY$%kJ&bk5q9v${2
z|H0<@7h^AIw2Aa)r^v4LF50#~m|JxCxm?g{t!mn!`~ZG6ttBx8d+HV3;DddNf|h}s
zC+5_QKbEVFN#pm7Y-y_yU#R9h^q$4M8M4Wf%FG}38{5w#es$*MF7{Ds%+KNaaH=Ao
zxP(eMtJ56dS-5Mw_kFj**qS(k_$s53i`6#~KpimtXp9eUN-=4-uW=7g#>neuoR^fk
zyjrIXy}hM2sGdTns_qGA;<MP0m0dHc=x$0LJb~VD7)S+V2E5<p9A}%PDIDznetuSc
z>P<;PGg-Qx8`xV+E~r(e&imxvpX)Abgx?2K9Xcm-4YyY_YCK)FEsC(?%tz1Y;>>Px
zi&I36_Spo^O0JrFdcgeGc0$Y+83$UGZ?p-9q`>K4)fO6S)oJ1HhnLTy&ozo;&5eK8
zaLsPN<zpnb-)PC|vmHBxU}l8b5<=D9lvn<6W=tG?!T_u4K3A&JFjD(fU>Zlt{56Ju
zA&GvS{wGcR`eIwzfm_L11ATYcvB4Yx^}U7wAlJ1G1@qu|G59Y=Qrd^9YtIWuv*`s|
z?0Frzxz;}6xI8=TNyP3QK`f>#Nc4h}(rZ#RCx7rh-CI|-rQ*V0!LGe|kBc?ViE>s!
zwT8BS6t4RC$WnJXYCdSdPHK&}ry9z4z}vgXQzvY!#YC8aI@a?%Ke_QWiZ_QMs#;Ae
z>V9uMm*{(e9SSaWv3s47YCdrdpZGdq@-bO=kr(jGPJ<4@&P?8n9a*!IYlYDBqWu+=
z!}S*B?;rT2Xe5k3wD6vpFy~UA{(##w-@LoL=F{GaP_z=>q<~KkBTy#i1<Oic_7app
zOoq2hc5z;I;PmB04%ut#P`yb<-TLkGtVP|f3Z+fAJVkJ=-=(2z4U$4w2f0#NZdNJM
zQdHxkbU#G$J#W>?gOWJwu3G#n_%`MEn%RZXH?L_lHVb;Ghcmj%<TIW%KO<H-^g#W<
zP)tb$cSQ}=o5kx~_^;!q4Ky7}y?(=u^1p??ETQPYpCksiCn4c>I8NbT%GfX%tGV6X
z{FbhkaTcWgoa>K1T=85iElkBOYR&B@_!-MK(PZ$0!QB8JeFTfz{bb&RW2)!HFAxv(
zZaMP)`OZ(rLcH6|n0R8tZ_|ZczHXiN#<fNEJ^vC2TR#0(+6Sgzc;+1~&%(};F!qq?
zbjTsZpqEV=?NACw_uo2oCO0auIH`WRHScR6M<@F;#vbcZShxjk-|eb1xNKY{dN%mP
zkoKHSL1)i9ax#U%;5ldJv4#Guz6T)rsR1lUd`HGuBr=N05o@}T=<oJ%1cc=j{A9@f
zLsW1hf78s={oGv55Y~QRm>V}6Sy4M4#g}1#3TwkGMrBwqB!BR>WvMFa*O-M{aTN#a
z87YaGt9#V$Wt$FFDxAofv_0a88BqS_$G$E~x)Y-&-S+826XD1-<9$Cnn<%Og0-A6&
zd9NV=8%}YEIEv)-x+c(?SK0WBWdRzdo_d>E+e$LEZ~Yf<(eT~ucTWmNN@w>sn1$dy
zkhShOY07(V<X~@fA^Zn7E4{Rnl|hxYNO;M9c1-Pr>PSDT0z8b0xv;{pZu_}XPk;7w
z=`3rjJqil%aYs6(fr=hW`xK7FTHpluVA&11?KX50$2_hk!sWGF_FgDc5GnxDir$9G
zKHPhOU{6Co$}fkuR?+<w@qYer=iu%uLzqui=?g<)VS3B*6Iub|LNl`)0oCK#f2_N_
zO(QdeYm#Q$tkVj>yE?X(idFCQmqO~=G^#;6O7yP^Eb6pQ^hb(Dt>+rCTFCs`i$CLi
z>^Ly+h{}VVsnE&4=%rfO>Kg)GK-4Iqe!*kqPzLSjHd(f0fNlV?p_A9eKbz=tdai)i
zyg>mX(zB9q$WDf&uCg}gft!&2cDXLSC-0EOjp~%3M=d2|xAaEUN|t|C37+hJv}-NC
z<X;R_d3xWP$#7y1I;wGBS%_WF!G-5ulTl5)BK;o1y{EamD^2_<RIAgua7GWpX!Eqd
zUATmv^xSR1ojWz{(1JN5NV9GlEdx6olOXm#bHA6L;?DXp`I8^TE0tRv0y@eCo3cev
z>Uk}NU7<Vg#?(x^8dK)PVCtmPu;a#Au@=^a(tZ9@F2kq@VP`EsVIcS%3q7FWUufdD
z+*^X_=aB{e{<!Xj4V3gG?IXP_(n3#^-*MRKw=I|4<+a_Z3Y8O*g$x0fgVQ}d$`&2L
z`BqI#DhrVhOO`yMIbTQ+CD?xpWD+AEE_Re4iV(A-yB_rte@vnWITMW-rNDSJ_1ODc
zlVZ^zL)=RhrYfaP=ZBSJt-rTfX$I2jMDOYMK&E-X6PwS=M}CyRUF)0fChS28(wsx@
zCs*9(3wkiu@8-(F`<ca|sg~-f-xOZ8p_#Mtab10>$O9Ac$(3$~C+*DZ;@f(Gxn{);
zlRrI6@*=j|Kht39K8M3!w<w7Ee7^m$jBddl0ljL2<nQ%3Ma>Bcb^Jbj`0eD|C@~H3
z$txq6$LT2h5UQ`gN!UD;bf9SdBy34TxXP^Y;45aCKKt{nsEQ<bxK>Ldeu0arWVN@#
zle@HaFxDUknQ{MZ6_2>n!TX{a&uQp)WY!9`fL2MmX1T7yMjN7!b+04P>cNd2M05`r
zWX68;xlu72UyDhMq~iwZ6tI`hiv`2uIDeMBP3-;g8U3XShHa!H?=w%W*VAl%Dqr?x
z<fPS$avPwX`4~pCng<gF23p?_qn1>;Tk->uoqkt^D>X}v9Z_3&$$qcZNHyDddDM(k
zm42aiG3)@ikgBC-S*z&EyX3rWZs1~0eY+g+8UqOQ4X$A~`ilC|S6wB?WfS`}9nFIf
zxqBVIK`~;gz3EZ}6?v&3d-O$JXfIfHqioZUGKS4+?&ZA93$4uv>I1b3!hK8;G+dI3
zl;(c(9pq;#Y8YKl*{E%b_0Ff$(9$5M{tK{dfk<bC;!#QQtXUdsCYiR~g2$5I@@6{A
z4xnbw99R%k;ruYRD_LGzNA6avpx-Lu_C|R&)m?EfPw;N@BW8=STi$Y*tZvip<iL;*
zIfF&C>Jyo-64jOPi=amrgi%({X?%kJ+;_IN{Zo&CeTKNqdc2z(db%jv8emdZ^tgya
zExRf9kQmbV88zcmu=w#{vL@5i)@dd@uvkF3cCk)Y9rCl5pj2Ce0iX=kZ%h<=tcgiC
zBogPXc&LoYU-+_}<Emq=H~6+#f3hz<gn<P)c}G=DL*X#k010C9SRbT?Mbg9(^)b7f
zsPVpVDC;>aDKZVqH;u2YB$iBa>m2$$5VW-MR9}9e(JbDje_Zj`X&I~&f6d?cPSxzV
z5^#C?Gmj;*F?HC~fm^GCjA1AT{-MDqgp!6-EE13^43`s8Gbey0>awtJY8aLwD-LdQ
zLU@LZFKWGB4-Z<@zUk+&dlsOhJg6N5gAcT2^Ob}sleQI6>KKX6IXzoF-_?y1e}ZwP
z<do=1t=)haQB^>_wo3Kqk!8fc?j%khm$%r~B=3a47UZtAAe_61UlHlN;d>~sIYUJC
zc9xUn;+4`G#3L|)(x5xgvt(`OM<Cd4VluDxGHhHL)97kBlA0+=c0Cs*U;F6I0nPNp
zNx<0IK1Ke*Tu%@r(z8|fd^kXqcD~1^uJ!18b0I4qZK01<x1Yk#rrE3>cbY>3ulh8|
z311Z<rOFTe+n5-V*&z#0p)jwkpF^myK8K?g#bomby)qSkAL!DD9#I?>)Mm1t%13_@
zHdd^uh;F0Y+UV#lQUcPdbJJ5q@sV$3yb)z02isbez4TiMa^tp$A(=<#FOnoogMJ-%
zbm154MNh*PvuN`|H%uZUN~Zj(qP=Kk-*xkICniX6HbkrxaJ23UKgu#p*9|c1e_B;G
zUB~nIKH@9JraWj-Mpe(F_o)-DjOF~xO>RNEHc9EdQD%<|pI(g}dt_{<M|KzBBYMt8
z;htfcTcyJ5_Z`<*N+vpF1xh@H234M6x*|zLwID;!tbhJ7ggW{f?$Q?Ic-N3gOpKCi
z6p|!PSf!1$0re2ACNjUj8^;g%*_f}2t>y~7{nG4GHLK=eAUt=X)|s+e1-mW0-WqB%
z`D;UrJ-wVB-1;RU{?d}uPV>d<fa~}-jf@hA5?)n482KD&eGlb?*c^x!)@rTW0a*$%
zeOxJ$cr)&S-!i)GC)e}fry|+;j8FLQkVkdCu*o6{?|Jd#R~h0!eA`m?9nDl#R-%IG
zJXr8olQhTNS1I0-EWtl4oOU0o37Pl$1%AK@?P#i=|2DNd&7%L|0xOIe4LhGKweKe5
zRV)+cpdU2F=7N^_f7b+*DJaIC(N7fd$gvQu3l*N-usg7}@cmLvSy2WP8wvTS#-w||
z1>&=3tpd?QW^cRi62FOFe1pG#6AGS4mdEMRnPeUMxzbwfcIxLhsAUWERyUFuq*;zz
z%$IXOXlT8pT3*oKD7VYqyP4+w>qy3C%pm_4{`_nF9*aEHxd0*A=*=S4IT>&Ftc|fZ
zgz`VmDe=b+aEfs`Tz@q9$ybuy3p>rZDb6;Sf-AF5()cr=Wn(+z5H~~Ln@0H&+xdIB
zJVkDf!e^J%b3=*jKKps@D05W2noh{rFg@@Z`U5^!5XE0@JSI5(LX;_A_~EU@AvZoH
zAO3{4&+Ht?S;rvlKeL0xJNm24G<-xt#@X|a(lqaL=8$rfh4BaGMqy0+24r%8WVXI#
z=sYCR*L+!IQRr)@=HGX@wDtNfJBKwOjFs|csc8$dwP#9cHkI48q$W4omhD+*t|61u
zg=HjHV*Q1r0EK=lA#4%+pV2<b1x*u;)$1zgeYM(m!QXatynbS(hyUzuNH<q=Lq=Hj
zlD_A}2EeC!uZxJMvn1D%&+f5_ZGG{6ZnZPx`&~H9>$q$@hc;Cp03cxdl6lI4Y%1)_
zG$u@5W)Jj-n@-TvGOZfcV=}7IH``01j<=XkJ?nSH^9XJHS0!x%HkHLHaX{>G`O)?i
z$QAF4QGB-~I(jn-haadRVM0%b*hNs%sur*Ug)e8{PPnyA8&5*CBdP=;<J5%c^zx&_
zJmm9SSMM*wg+%Ce2IeUtjX&=zG^H_lB6;$CF0UraFrucgo%bVqHE})Q=9h01A1RgO
zb)KuunmQs+!!ltzR#k`vnixG7LH&DU%ju28M!ZeD@b!qZnK=)PI%l?CxC^)w(mB!5
zQ0GN+-xTCmUzi!ymh=`3Q8OLkwcT(1tm%?`-;v$3>Q*MnA(y=TN9zt(`@VtIbS_k7
zIG*P5i7Uksu(OxiD-j0=Vjm_Eu-f`4lN0qds*j!$8_?=Rk-eYYME3Nz!_wI;T@NmA
zhgF?w=6d>4*7fih`rDHQwtRq@a^-7-zfIX2WK6$DDNVt4vc`u7cY6);vuV9x`{($f
z361-hSdq0-c2k<OeE^r_1_;Y$`wURs;TI`T8n`K6Qm1J8@r#zWa!iG|ewD#5&cns@
zSH8z^!V+u`vQ)<=Ltk_8G}tED^PM27vOD3c*`qFa(1d$di|Zrs(BV3N&flKA_%tA8
z#cg+dLlmqVzIw;5+Bl}?g_E5K<g@WHF^mPUo&;_F&ihAN^Y>k^h`7)1WSQD_-PV~c
zZNHinjCs3o-y&0KFv-7=0zh^jWN+3!m+`Qlfq;)CB*`p9Q|`6OoY&wNl_&5cqTkXQ
z(haw>3RY68gh%{lv}84%7V~khg@QKcO&Id`Y@(LjQ<~CsLpP*Tf3pv>q#=rZmyeQQ
z={jFg?22xzYCFVMw?zd2@&WHC#R#qm_`TM&fpYe<dgk{*jK^B{!;;MXJ!pmN;noc7
ze$NvP9x`3&W5|b75-3HNLj`WTd&O*`@~<BTKS148fE8ujs=X-4<IXBDP~&uY@P}aD
zI-8?DGOtA3WQfd@YDG89f*r8%)evXXHJa&eGphIzn0Em%Z0?E)$~z6v^@JzDXHQa+
z<!ZBJ24NK-la0^IJldzJRaS`Oa;6A%5qU{#WLILyDNpg;QO7KFb?|!IpT^50_Wfs1
z>xa-M1CB*_!m&fzAZm7(#(fxTqzL0ij?IB(@qF==NV|xtw&R4H_=ta0B)T69?&j^^
z0$xBsPYB#mRb+N}uOjNB+!yz?<g6c0`Edcy%IB@<+=_61Ct;Ka`slnk-C>M!5jDSw
zV%WUHMXIeoSY7r~n37RTOgF@DkVUss-f$z+yVbBPxRD3oyT+RMi>tT7?cS8JxIo)j
zZ{{_)O0T}=k~A`X6Rf<ukqdTzV367EH1bm?$r0#f6Yg#tP@K#Fl?eD_HFj=td;sHz
z@OjEMiZx1##1X^<ln0&~y|$C62kf+4V~5*cMik+pXCl{U>N?1#&cQ9>PT!DE#_0Z4
zNPtto&LaUrgfy!qALQ`Mv6a{Gr;Ei-#UET>IGPz@!ecZqJrIS`L6xt>-w}JIm%pCe
zYwF1LwX*s~>39{juGA_`w|qXar~D4P3=h7O^P<1(Z*#Esrw(!yylNYiuj`k;6H_NY
zhW#Kfor|^s_m}s$FTMDeR8f3);Qm9%yOPPt$@rJs-R=IH{|1=Z<MxMxhQgsmlD^>F
zvI!j?$-br8*Ia?zG;P1k+A;mRM6AzAM>2_TS$7wBvXIYF{97PVD+1TwEglaL?<o61
zq3AQ*H|tMFf0d@1_}cwY?<f3dq9TngE#AvjCA4fKF!gv(M&^D_&*QYpH+&n2p9q#b
z%apGguNi+bZF0#n3L2S&SQgS4+2o1KD~qa3UV%vzzAB&sMVV>8lO^sr>~-ltj1U6W
z=s<&g6o<R2EB-@7M1L*5Bj3=CvTwsOJY$-N+ohA1ZN;g1<>}eD3(3rr#-pd)O;)}w
z!XlGOi@UF?{2-=*?{|pxc@zHn&y{|xNS6^Gt5Lt+tr~+a9wreUE^x14Y20aR+tjYA
z_wTg#C0_g4*lu+x99G%RCDrR9BM+O90Vy?@PXrslJr#U*93ooKH0=mLe&Z)E)D$FF
z4#@mpedsxC>&<}z6k;cE7$EMU3ITQqFZ<0J$!`}`WUu~OxqZJWm(PLPFIZ6keGW~l
z>8F4Th%>|>Rw~okAP<Vji(h;ZUF>O?7`f>5{66+ie`h1c1bEQ?+C%RqJ|X;z0X_sd
zhe~zgw-4HSHV%AR>Bgb-?OETO>4!%1eVZixWlqw5Wik1*+v8qMZ49nTUyzqJHi<W1
zW?=&vcn@aOC+>ZilHpV1bK_D&c|8Tl64<0>$73%QKm3=%@l8CxZ0z<`h}9$TKi||}
z#}fPwx{+IBbk;_bcO^uN>#z8bcP(^Da&Yg9=a6gWCm}GO_J14UUo5$f?%8@O^vx+D
zEA`ixiTvHkSwRHVb+73ETKVCbp}#{u;eWJ9)OT}D7PcdQ=Xhez`9<e7Ni%EyE1k)w
z{x`n(ZrKnQ$mh*b;4t05JIO>V%Z3Xn+YT-)w9I%4@fj+mivwZy9gi%#k(Ot_h7_Z^
z&*Hnk34%MqVEI9mwn!7(NK_Z9^K1lsIWj67_Sdui0ku|uUmxZ}=%RUYZvTSq{kr`N
za{MVTeI|?(_(p4)GWGaFwpBTLiIvWjJ9c#4dZhq;QY#aAa%VH;ijm17C&g#m8cK1f
zPI$0CsvR0UKk(P8|JA@tH|ojrIkv-p9RNrT-l<jcgD(#hzx)<%zcMNNqLaODnV|0z
zHj*TwTDSyniB&6h9agDl9N0eKH<sl?qK<VoIDZoGa-Cx+X!)2Oe`O?H_pw}e_@-wo
zN&&tc9QtDF2Og`N?)sr&Z}Cl+zaM@S-gDT{v#~I+cCggmB6UOFpZ<#lF@Ep5B;gnK
z55!I}O_uFF?(^m+>^KN+^E0e%s5FQ_<X8&mb$m7l7@u3og9G?N@HgKRgU<T-4mWMF
zo0-=1S1P&k*S{ZTF)$F29b)UldHQXs-H*n;znYImLvY2vaWF83iRgvu24BME!;TP-
z(wzE}VB5<j#)(oO{<nuE;SO2D53dCLwvmnR?!pVtKgd`{8_fn7qqT?3>9tglUozc!
zK>hNI&Rf68zrDWEOOhapn0Bvg5mz}9!68JB+Pl&1XGJ0xTpgPa++=3m;P_LFv`WSC
zrd!=}49T&Qz*98i(^_WosB#M4Ir2FMk&eTSlks*x_}YQTw_@})s-!t-i$v-9cV8CB
znTYP*APWW>x!;Red;PVC3U^3l-)XZR9kLz$!)K{71h-rLQ5DZr@@($H0_A>i3q5wc
z@ZSF={P>F&O(72$b&D4XffTq+)Y1cWV9gpCiq`ms-)i9?Q4fQO@*<9rtf$ytw+5)M
z+XU|1yTrnAie2dTZWbu^4>V*qsGo#x15bpNVgFX$zmOS!;UBy@kq7gDRgu*Z+XN#`
zBB<SgG5+4<tYD2A$!mSoJWxl?mvF||A#MIB>O*^_Q~R?-=otlIu{oF}<Z=jj>7ls%
zA8PySpKsk^dPNGh(gSWCN;oeLmO>_#Z^_v0<TY-NbCNEkWjBM;d79EKAdTDq_@yWl
zI}1Bmartn+UpIQ`tP*rlX$;f7N>ToA+ep^oqZb%E|6ARrW!Ft5%(Rk=!#~0Ezl$D5
ztWBxrLvdKtdLIW?)OEQdR^<GHNDl;e3DK_&m}_5-Z0`Ky@;@yPUxB-xm2BZz76d><
z;O^}mK?PVL9Cx+>99@l^|GWMx;iLEnga`TD*3s>L9Cz^!7Ku0BT#kurA|385;0^?V
ze*QyAd?|tdwicqkX(IT07^pkAE6B>=`Tyt|QQscHe=^rU{f_GVcWUq-t^Z>A-%t=^
z!nh*jE{wtZOcWm*&*;;#E4R6ccbh99(wy;D`KC|(y9A?s0<1gnKN;YvtNse#RPz4^
z<V1bT{}*llgWx{J|D&7#B?Y&^Z3OLy&fTZZXW>d`gqOph%Ug=)!}@k#=U4bb*7y$D
zphs+G)_6+8=WmMWdB|FG$X@edU2-rv@Q4xk-pnT8CPV?n+O=EVMG6mw2OVYDo@ba@
zt6lwo!L*toWXmyx2#DYVhUo|I8n^ht+4F->uY&OD+@UoTX?@n@hL#k%9bYYcl@I2U
zbsv&-hhBvnf>1m$+YT;5v8UA!Qm&rSLQiy|5fH$Z#JCqe8I(ILqzZO|2U!QH9616{
z9gnVD#tpE}a%6@-mM|;W<4T1_SA|G8E?0<;%A`7PK@TaQp>lo)EBHK#Uh!fwd99cO
z!@rD=ovTam5R?hy)!e}8V6jH>Asioyhs*#2W-Bb+M=Tz&3AW$uepKC<#qLB7bR9>Z
z8+OZWEu7=>Zb$P96P`33*3v+iJRt|L5K1Yx<^IXZNfX8)d~Fj6i_LE99GGI@LmBK^
zyh#48;#|JLB_nRlc4gcxL;~;G19s})@g?)0;adaTR6Hr9T4jU#Yk1(JB2IewI3KkF
z!h8ir`E~ADn+s=}JyW>?mu>klN@@jP;!MqzqAwJVS%we5FDKwD_8e%Yt|PqAZ%OeJ
z9^|lZc;eR)>5RCd8~@`RXo4*cY1_Tab(L9U9qoUGtbs1mfSw0vEA*>1Fzy1Z^hoC_
z)Xp(OFUO(soOIV#oV&K14=4P(=uihseSC^Xv4Z?rR~n&MMsIOxLQ!Y!KotBsfg(O7
zQaG@?syK3mkmHO1yAQ#V<92N^g5K7CvjbvyH*|jQ48NL)AqVqaMb1Z8p2^I4<MPxE
zCrPmKz%5{uA#)H9hF<a&uMQ9^9$vd#p~BwnI??GqsfxG1>d|0e=O7rn3tsaAp;_|-
zwwM9unZWZb#97Y3U%_tx@&Cs{F-y<^#^6cDtW_60xSBO{&X-qmQrq`CgFB;eCm<{x
zc1;9(9dF^#_h57zxP5o+O7_YxHsB*}B?R|by$D*o18<C-yK7fNxyY4c5KcbiL<86$
zeR`EQoMnN|nXl5O1+?N{KJ0sRh4z1jS)p8fZ{$;dy^}m^#+^bDelS+-krH<3tQ;?Z
z&C5zWfvmnen+IW@cU&Sy&t`2gCe!2iwv6Ay&ywKZ%z#L<bv!C$R{<o`HiWqwk3)nl
zy3w}pDqp(10OMrw2xN60y!ty*vJz7v@!u)UJVbZn&}Rp5tSbQB3`CnS4qusKgk`hq
zDjn$Th6>5qZ<t~<?u-M+jUDekmpWTl!rB84!#RFiDqrcOdXNJ%$+60ack&}br9;Bo
zGWdZ}{+-KjRF{vBFfMLEEFrt)A*2NVPzT=U831rp2;2tMcA8Uvh1GNd_4Sbbp%8Ms
z^K`#=LpQngCF9PLZGBR&di?uvc|9JV!yYL>j}^{fxJ%Ib6=+AtO1NV)YazUS|03%X
zT`A49>9vGjm;#`vVCX;YB+Q08<iM&DeB;2bavWe-j;{tmQGzNY*OV@bmEw{C8{B6<
z-7uz?8~RwDj%J^~`OK;t=5zN=g0oI2x>Ha%7H_)y(Z$8wSBMjY;(L#KeSAl}>u<2O
zh6m2A-^XVtSA(jvL8<GS2shimQ-|bc1iHLk=q31|K4wP$x$9NU&;FVq!D1&q4Uw0@
zJLlO1-Uqi@lkpiXet?mAq>JaQ7B3j(m6s1$$>KZK;(wWmL)a3mJQE*(D0jtCV+EqH
zzjA+cJHLH-qK|7xjm2XWI|xL(;V4A9&baWyR6|xJMa4n=%YJ<V0_+6zT+Yn!FDXBw
zq@uznj+@=@@`JAQju;hLzta8DX>&K`==Ru^+TY_*RT{FzR0DmAz?gFoP6mtY#?Ilp
zjzi(F%c%C#h&BAc0gU&v6)FM((B%f-IaA~~0BHt%)V0^%wKp>2i1)kl0W=gB0yyjA
z7#z=$!ViNG_r^Qy@OZT!HsQ&IRQqqCAverVx7Ey$oy<eLG0*xR4KN;!NkCS<f-pjg
zr*+AzjdM1AfAeq!cmU)d#=SBLpZF`f=@-FFiL745qbzg46@XWfCTE-oio-yY!I%Z`
z5<29HKCgn+l_bJRm{kt!%T)fUt0~Syo>d9ZIeBP0Xbn$4kB_q%Z2^;iAN2oa@uOBq
zFeMQ0zY$8<b)~_{Nt!G6=s<pU8-SvNfK<2@j!Qza0DRJP75`gQI*#+;{UF>qXdMq1
zF78UJ(lRnVEYPzjmw&o3&40}|7ZqsR!erl3Qvc692Og<^B}!4{<V|@McvJeXZ>}Ev
i??|2gztX!S9I^LwL7%>niX8#|PfJ}-tybkl*#7~+B3^_5

literal 186537
zcmce8byU>f+V9Za3PX2_bW2DhEg+zjfCxwpjndsI2+}2pASu$_A|N6q-5}jV&fViV
z?>WEsuKV|03zx(&-+K1*d}<S^t*K0aON9%8KnNbGDCj^S7}yX9$}Kh~_|A{jmDk`u
zaW_RnH(jTfZl2~YRuBzyH<-PXo4u_CgNK!itF4oxAdfhY05^k;n;Xnkf|u9fKQG{M
za<S%R)I^&GZ-N6;dFl#*5Sb(Yp?s7nwuPWTAdeJe^}I57T3%<qc;b7D$ZVRJ@IF@`
zIf=o;#Z*)<HdIu&!}uy6lOi8;IU9bQp+Hv9p%7~q(@QLBL43!`pnyRECaa*Q08K<e
zmkr&@{%~HtR=$zBK)*3>RQGPLe7>|%W`EMobk1bl<jI(c`=9v@$(#*y9aWql2JC-)
zd}aBqBm?=!H^2`?2uZR3*UK#M<WU)AiP8W2VQ;R&!1B-ciMWrC6Y`H25TjRxG6p96
z?_=??5R?A%HQnT4=yLz-*i)Se4^{qoAYvn^WdS_|qONh5v0F(7H;5r3r3=c(_ak&*
zfT?hHQ&}Dy$;HNm8QY>pcAH9;ID<d~?eeNg-;LUVkysVySsG5zl-`d<CF1Uv!4tyZ
z;;6rrlb}~UHH@u|QHuHhbeX+Vn^=`JVnmD~Q=8$k#NAwZwp4B{%&E-(z4%Qpi9a#3
z&fhpvH;BV-m1OP&G3ZlvRVIvhGG`1qoyar(=Wa*bSM0+MiPP=f*+J*N7d=1ExY<Y;
z;BeB#gl*BI0vmo@lFawu0SbhL^uIT|TjD1_s(FJX*5J4N3McHCL_QVb44g4^`v=im
zTh7UYuK#>8;Kd}YteN51^7IYHf!(q}Q-yrJ34?1SVbWqmqL)kmeLmgq@|e*(>k|}W
z?~;Lg8X2wnF(l%@&wL_2ju^W%!8?ILMD&D;{l8amTGaJ_J$MFvvj0cXEwQcbI{6D~
zN?*LEzTqQ1+o$guV3#4Izdg7Tz0CWfP%Jg?apg_+-<lc~hf?1_A|_xoSO#Xk;*PBs
zS6(Nh%EV!eZ@jN6E&DWSd{6kj2GnlvFf%uaT$-1Q`=43!qCkvYhia*>RVGrmE858E
zFZ!_#=Fe~Oh9$OHsc&HaIdANsDTRcGQz&{|R?WK(PTlfEQV}Li9xI`|l4NspQfXOP
z9lqzgJqB%WaFmoh#<4>-auBj!*-e4*=?q`l##reE_qZkdf^9b|@d>_`$WB6`1*GKv
zDS`YOhQLa+`ahor4}ZuLEwl1o=w5fpT<Zq+^NEN=F<`&qp{AoV9SH~PBVf8ZK6s4K
zMVvY%iiopxa*Hb1%BE6X>hfbre3(+_f7fbN9`bx=T}S310jX`*J4JGx!&%G(sVz6V
zPQBSup34(P`zkzY@g*Lf=Zk}8t=L2|*G6vc?kn*K_y?~p>UmU+F<2MD<WkhV)-Yvy
zU-Xui7I=+}_uXOfjZ@(|#1c^(z342Aw!HOnW~$24ddQu^#Ep@s6&_u`7{t3cWl1sI
z(}cLag58`h^qP3ykcJb|DiDWE)!I>*9s~&<rcXALhvjAGU!BJ<?bMj1UmHs}?KdCK
zhln;W-5;3rKAVjk<Y~I&eLf$n`XOj{CfxbAEpPj_86vg+g@Ew+h<M*xs#%m>#f@1^
zJbmYnA0o~09{->*P4AAN_@-?5x${~IB09tAR=T|9%-?zQhb%rm{&HE3Y0zZLUh^sf
z6(UQ#XtZ!C;n=jRe|>x2)^&1n=jZ}8PWlp>>Agn{>n8F41)G5!B*yzdkY$my{nOtJ
zg55=Ic6+2)zZAC3CoUeiJL9>SQsF~jdV5rpdV*klr#VgF{QOyi$5oSH|7HLMHazbk
zF)oa82~HC?V&@mf{|-Ae(gqqC(fGd})fw_pot&INAat)+Nof4wZ}ok=>t>JSXZ@~5
z4l_3-DU|7Ngl0WvKEsbvd4rNkL*-DAry+K+y0N^a<&WuiQb51xn$raF^}P{0{!UQ=
zZ{2P<`|Y&ME_1=3efFhzC4@{fXuGj~yWDKK6Hg}iYJVY`$RADy36RUf+sHa+Gxj}Q
zg9Ox!_-VLMYx!RaCXKXR4A~u&X!+8F%28-aY>97fZ};7tFGN@Ptf_(bc>wFcpy(7D
zTD?N-E=b4h`)nY~0G-!+diubZ-oW%i`1*3vlXn~8+JTYNUE%L5s`+5o?M03F^(uSa
zVtzEw-!(+!ySb3GpOKN#gF)eg3(5>XPUcntl%b`){T-Q$f&1|35yviTnX3h{qyAzD
zB>Om1_c7Pq!xef2_Q>mD*TZghI{y8eHpI<-Ps{mU&tYE<w#L|D7yW#QmhYbxK72G@
z->t!Sr~XXjeW&8RZ1)m$^4Xo1tGY1MHJO}=RXLZ!Rk=^lP<Zbgpb^U4A(rdJ6Kf7Y
z)7;%n4|_*SWNZBXKRwNmS|s!#$A>b?H9JvgSCr;@&Uy3L;oSawK)nC8eEoiFi`Q9A
zeBayb6XngVEt84en;q-ArQ@774wBsYgRr{AClzlf%Nzd)tRBDi*-|r8JHj_RPM=&J
zukfQRuU{^;V<K+dbN7#IyK3^3pFCX^;AE9PtMc#hY&~|E^*yIU_OH!9e>$n>58ib@
zO7+0+z25UAS{ci^MbAD6={n3oTr{LFjC@En4Z`ES#xHMJS8ZMwuE2oIzTTjP4|}%8
zvP&Og``jK=FlG#)LQD~t$FTX=8{FH78qa;H`qiYtN{1N_NPEV@wE=vl?Z$4_=a>j~
zJhaePQY=jm`7u5oTj75rfluI2dT|j>?}zR5dhm7qLFdRaI0YKWVzTZ})TI)<cgZvo
zZrG`&Z&<-<f*@Ciu<3cD0kVy#qApR9grF9@y$fSZtRcWZx287TkKvyxBAodZXn*R$
z$tp(|8J_rjQ<2G{KjoMY8{?b%`J<I@|7r5wuYMk)<|UKH#~3VnEh)()zaE&z^dMS$
z=ez88G%(ULvv4a~znPEdy=&le*TDGj38cNhpNGbC7Dw!AXY%>^Uf&lVZ(g6J_mN`Q
zkOpHq_G~YK*5fRvl@Y`>@2hW`U!CZCN0sS=rM&kPpkcz6)upmEWeUAeu)GbHA1qvm
z?A5P$AfLnixrw^gQv%rVVV(cgIl=N4xcS?l<Ct}wx1P@_FkH7Gt_UHEpq-^f1Vi|Q
zz7T+6Q_+jK9-(-5jS#=uF<@V2fTR^gineT398CJ(C>i_TxJN#;d8!`_PA#1F44uY%
zM-X<kD`PaVfA!hP*PDqDwcV2LSWNP?M5_z*?|dCj=F~yn3xvXVA_~$gHZE*Al$l@r
z0%^ftLng&7@ryd1Q&Ang|J^1`AwWWKqy3{^;6EU4G$5HYj$Pm90WB{vYP-JJuJ387
zS#)aai4|CGeo@|g7kBsC5Yn^W`%>^;(ehsRNndLE>qTW4xXBJ%U(;hbiSY52CWYfF
z2=VcQT;sO3N{aF)RI!5~W{Ara`0cq<HyG4dVsTVsG4Io$P8VO#_HKkBiyJZsPH+p)
z!nO&z+L`08r7te)+I)#2u#-_OC-{7^)aS!$eVa2^W!h7{&Biz^`fH7$H6m#^wa>1d
zS;w5`e#ft0ES;75tJ&}0cPuV0ChZ{}X<ZhC4O(<m8*(Q-tdCOR<QI7wNCAU3hM5F6
zJh{8%7RzWy-T%8b6_1ldfv4-!N<weSf1ux2TpiV9skkJv+|>{Wi^uMc$*6-z^TU2<
z*IwRi5gmWrz}k`6?w2tzdWz8?svk&snh$E=>!KCCebQ$Y;1jK~fys<`pVr4LQOZ6U
zI4Xzkr>GOJV7C{DfSl{qzNwZgey`hOvw-<|X=qrWPDw~<MQd|j)@#P79&t#!LF>_n
zcdc#4JhEd#Cue6O#*+&&KaOrDZjJrBtQyM;ii;^e=x{ddOt#(Ly<I?fQ$rS?jz|zT
zc}QV47!yJckWH}dW)}?`)qmhT$AhS7pB@rocoB!1m!PxU{w2DaT5b&LL9qUu>UZO8
z-8(via&L8^a`pcKaaH0=a``)99O5Y79I<&m$)(leZWJIZLe*y`YNHCw82@uma3QxR
z`ZQvd^h8o8M%SbCv<*Dxw0KyV$6?#w)^xh8hLD{PKA`0n1G+T2&oWs~`2b_{Mz$Gy
zD9dNk=nT<$c)`0&mkS>hIqdJ>zvos|RIE3alnk)Wd7f?*9i;V1mahv8i@&tCex=Zd
zoGoB_<lO8a7Hzd26s=#K@3mMzJ=Z9sCv&BHIVcUaoDxrv@BK-E$P+FacV6?-d;gE;
z`8$K*4u@j?^PUx9vedBhyaZwGekjMPKF_`bZXoPl7gV0@t;sdD!Ta)ZM@Tyy&baft
zwrRZ)iw>?)LvQ=s&5a(i*iEMOi3AH}aj$9r)umv1(a`n_pQE?&ooGa}@h#r|vDQ-C
zaK(K@q?RNNkt9rJul0&Y^1PvV-1xlIOt=lv10S#0>*VjFF>;-jI=`mMJWe0o8y)rC
z+}pDy#xj}g0q?T_Yf3NjKnt<C^CI%ps%Xd3Wf%=&zdx9pV2iLy{^#}3bFwz)a^W_*
zD}feC_L$FdYv5w?m6zCrHCvn^3F4~FtPj9Whc|Qg>t<tQu9rMH?li)t%(V>b`rK9%
zwJ-w;pNOr8%Usi)?KISUn1RyGqd@Af_RPkOZx6bNmVT=7+FlAG@$38dfg7(0CR?u8
z{4q@?59twyI5c9g+@(v4DnsVhmQ6)}d`LZf84<XmcQ@hiP`-XW{ob=nnP0A_;|7aA
z@`48@0i239({t#y&U)eyNJlpxXyHr<Af>ho<pxd8#rI-<LBTm#6F3$mAQ+2C#8|nE
zo|V15!<GWVH|0<u>f~_1{EYIj-o;?J`(a&d*3DB%M{kty{hdxS4>$93ZMqq6!OeSy
z{nMEECM{Ozc@L)v_)U(SVZS>HR;;c)$|4rx?jD8*v+m@$@QH8aZK59p{WjtGFT##W
zCcP`#okvMQM9;Bwj-{5C=Du`E6T`o1k2dp0P|UtQppS@x@7G(|2@(Cd%+cEk3RD@y
zg#-NDAHm_V`#ZK+`qUOmLld+j=5^4quxQZMh?icpl(p|8%58Vk9kn63(Ez2K4n>j(
zEF!vY5@ksoe|Xpa!JyeKDtji3)bDaEhx-k+GTp@;n%Aqk2f_5SAp-+Al53pGON$+7
z^`{d?uudHImGz9ag#*Dpx-0cre?*JdWYc_LvDEGs05W|vuH13r>xMKQQ)Gw3p0~`>
z7X$H2nXaaRWSU|mfYfN0=ppF>7+&4)ty`h~i1U37$899!MV=Ly-KEaoIE$IEeXbX=
zM3=yd<pS8ZPwlql?@0ir&|zEL0-3faN8&E8)kK-ah7n)WpU?3j6<$51$XV27b~8?m
zY=&Lc_OtGjy!`ym*hsJln>1-FYnUsDd&6Zv(>rcp7H3hFw#t?baCGW5G;$5xX-i$g
z!sN{XBk1N=uyzTpq<T{vbi@BK-0fvU5;(jWRpVT6i;mHS0qcZrexvHQ{-hLJ8;0IV
zxai<?g*f<CEKSe`?-{AG9x+MF%!EMj2?&<H3!23kG%r8dekTRBoT2mqx4H`nC)=*q
zcwzf3ZM|=EuJwG*YRtN|{Ek-Mq04~^cS4-m`YhogLURz;#h`_GS9za1UZ0vF2mk=>
zE<#;u*k~o`u^_3NJF`ThFW9j2{A(xG-Zy5KKU0?uy5idb#vo|B95?yf`{eQh9A?4}
zzZql)3y%0W5AC*G&23l$z_I+>t}W8ZXN3#krmj-c(+x0BD7e)aeEJ^DM}i^gUBB1p
zgscE46xwZeyOwd-IGJT|?8}~YLgTY3Pv2+I>ca2Xe2Do%fD%B08YCY<O*KA}A*h>~
zn+pc`c?JG6^_F_l^lGSE_7UpRC2<HUKm){bOga2~v#Hb71z-Nz^WEg=;t9h))-x)+
z`l&i8oWhzWoKQz#L;bw)c{RbyHa7NX!;jB}v3=Av_xjq~3DaI$$Dfd7yain021$Bg
zr{fE~akLMB7U0Ic3xBpDx11<%<%JUN@W<=>*Xy8i(cXZL4jy&&J2Q<YzAZMt%V{Db
z7<2rWCWZAK^ou;Kf~K_pA=zw)Qoz<o-Q?^29IlhBY&c$M+^NQ_E|Kh5%e8H9e>fRM
zcTXHCNUh7NM2<${HV1SG3GGmQA63~QeL7lSP0@Ks<rM$lhH0Z*m<;oc%O?Y4?Nt<)
z;>1s~$CY#6iT+9)Lb9rnXu5=4rr0KyP|E%ep^uZc!g<bC|I;HRXh~9Hx-~ma3X{1g
zBNaMgMkh9s|Mi>ZJ`-KWtPo552UsrshL=h*h4<xW%k492+m0`tt$10P!i>d<g0*vv
zJ-z>Xue)D$hAIr;XuHTIw-7Tu5y-d0zlaHxn^2Ipbo*XNW(5SXQIRi$cD{|PD~n&M
zi+49i^4S+IE%VefV$JiM*DmJQZ2<jv_E)=-paqlQVf&#t4Q~iFZ0c($ANF%f347gW
z5%yYlJ3LnG{9|mnKnoUJ3HR4QMI@;)Y5mjp2FZ*GlVyQuQ1vZ26B7Q?7}Bn-_43g&
zLzVOYph14)kNA9jy6lI5p3X|epcLKp*K&|f%d?Aoo>rA?qoRw2UL_nUN};M5kUy5j
zZj&L=Sgm^J%h0eH`(GI_0_GD}#fhb(da{21#4}NBYOAcTzS_ZtZ>u{H$(%&cIayJ8
zN-c7WMNqfdu>l&h-0FWO;X;Wv6W++@0VB*FS;9ay{SpXuIjz_U8yFGjePtZBD#8*m
z6b(9deCeUNr~>iCI?ksg5?0)24w>xrG=C2aSqw)lAiImrm^cERnoniyuqLZ9-Tn41
zPqyG+kJL~&B>8~JAa|uCeoHO@I`|`@ieR<u6B(cMS4;f<Da=M!wigrXer(d15g1)?
z%N-TBn~S-yL*>C=xug6nvTk>bRg&k3S=qs$>Cla{)UfQI!Nh%vb`eumB8rJT1&cv4
zmq1^#yCKF5mRkUoFgwHW<o`uhMx{fH+fT*0=(H3h9&Zr7DEmYB{r8_07tQ4iTC{Fm
zEXOPulzUMmW?_4*GcRxKN?P^{86yRUIAfG%K$JlSyUnI^c5Yy%gZ+B~f21}x^%I+s
zUt+7BNK9S6tGt8et{$<5t(CDjomT$8FIGb5)A`sG<tCiQ&t#nfve~H5jQLXCcSv(_
zOc%>!`p=r2ir1*O{~Pu9#i9fxdh|8Dq#fGgRJK0@7$)9&`ErVX<J^SDz77HvT3!|y
zQ+vzGybD3fy7o^Clc!{M+YjY7slcIUi@wH?*>xrLrJ%(Hs8JcPfoJ?xl8J}xky4nQ
z@|A^s%>?ZfVTNsbQFVXyJHpj*tHYu^gAI|Bg0!S4iu|NE3+#1_vSs&mRK=vV6lB|Y
zv;d}w)UBLHue^&CjU(<4!pp)fkZX+@P5g~6gMQY#z7)$1#@KsEtuG^u;Z7v+rb2ns
zr2q+dBxz6h`Ru4^1?Ljyg}4jn!gM+-28G?wP=<T*9lK7He{--z^pF6M8>)K8P5wYn
zsiYU`Ldi^mA^KLl(C@wpA#!<FvA*Yelg9Pw{w(dy(^Y{lG^E>o&*JaRBpz4N(vX9L
zc26j%;_woWdzj};ehKVN3wtMaSpD^}E?f1}A56tMy`Nh5)k=zRX1~BTk6+J)L6S;P
zXMR0bw*1D{K!C$EfO=no5j34d7p840c}BbZgvYGR8INs<<N~W~v4Vr=?lopvWs#_H
zI*)0HA`w~7zTf$SJJE{xL_{m~D{);J^CxUO^DW+rL_i6&xX-DN8Z+{Vxjb(kztMG_
zNk*1<8|_~=CkvONx|eqIvU#0_R(oIVYYD5xb4i}&yXG++KPYh@Q_87xmrcZTh8wet
zVfOqA2^5K+snj)2MXxf}%YGh^R4|eGC0NrcEWO_ve|2Xli+%Hw1`HC2NWU!nFy5br
z!pw(1EG+EcdP9aDaD(#&e;J@=a2b2fxz{g8-2;M|av8jXr2E;?|0NA>D9L1EG;HSM
zIUn|zb%Vi-0^rT}SU)k^*p<*JnYD+ik*z_Yw?Va|M3D^7g8sJi2oKP$0|q}m_@TQm
zb;|5G;BBy)J@`zBtqEEdIYX>XSn_7+2hlHY-x>|Mu^&_+^3iN~5rj&rYxS{;vK8g+
z9LTDI2}&epJa$2i(GVw=EB~f2o8)Bf<3j_Kvs8WofgmT}Z6hG4sFpXaCaE2a#{1nt
zUZV8nXnZ-ij;NcfKG@kbugQUTSh(k6x?Q<RvGNxWz|(8t{mRk-fasgSCZ6(6Z-&d;
z3tR_SE)=3Mvf@4^18~x4IW~A|mRqEJM^RJ$UyI~jbi%j*iRddR;p>(9N-LX4hO}CD
z(n5U_`N`*-wPcvi_v~6=(6&CTyoV+84u-rm&p;FWO~J^DY$6>ejexrhmq!H|4aG|8
zo&ne!noJ7Ts)>BV-G%iejLy-~$JmSqC&e-?N;K#Jx>{0q>2Efb`K6><ma&wC1O%$_
zkg|tHMJd9FI3pSfmc(vO1S@^74uFah$GVDy42#ALc3V@^IUmsUEp*?~8DRdatkf7*
znVd0uS2|Dk+NZYOIa1842O_c{rPC~BO6x${ylD1N7f<JoIA$12m`Si<uTS7;`s7}}
zGa-@z3SQbWmpGQlNzvIzHF7|lh|KlR^A>g|^LpMIuC{1aypVX`9ZU0cw!Ow}o@7<l
zJGh~%jTug@ln~hUVP6G2kR&!HW~Ub^dByrcyD@*v%mCM89(+z4O-u^<KRhqM$_7gL
zJuz3--u4-#LAf*CPo&V%UBo)v98DV(N73n|!)CGhEEZ~GBq8){Wroy5SL1VoM4h?z
zhKL&ljJo%A;%O&iWPA5B0GvLk+$r;_r6xsk$0zyEhv$E9$0d_u6`6d0=L>0nUKbna
z=sg}+m&#3ic6z#Gvj2txNObW_io9<gYhW&o_}{u_x(<tb0kxv3aOQ>jjnU?te0QFf
z6H;TZCF=ur|09>{n}xQzEqDLR;)?dB`BOSb?S+S><rQrFNvh>StMVwobYq$iXaQn0
zN*r9H-rGP5B&nvCtUJ@L?0_Wm^YKNz)sn{Wzesgb($aG3I+uYjqSfzIS3DodegH^T
z?B1TE<PwhZ;u^0EHG7VaY7!3iUjZA592qXAjhtGTFPe2YSB?hTqL6k9l$tu!>b)0|
z<C<OfP#=CNrX7Q|0qREFdJu}}H1V9n(XjOTqni`fc3JBA<@!nz_FQII`s#xhz}bO#
zJaD<LQ*-FD*6k|(ln3UdvFm*yjV>VWpiG*aw}A#W<Gk38QePg7#K*H6(nS7;6iyF$
z4D1lTS2GJSNVam`h9L8~7^GP8Ubx~Rq>~H)f(P$mm}s-rJbveP`4zci%c(Ma*NMIx
z$UpWEf|=ue1Wd1fyHZ!<0>^-`d4<-g=k-Pl&R@*DgqPDX-*WzN3>qhO_SCEI!EL!M
z`O4;|v=7j@dTBkcX~@V{`Zw^rW>@IqYlh!E>Vm?Nc1ZOgPtSadXMs-1^Q$xSOpo7q
z2bYrwR)P2GgKft>6CocMK6KyOVmY>(Z&CrtapIRBos8qNx(H1LYy3BFXA52!ixVGo
z{Q;m98<wZ^PM(MAH~Bcn+iWqy`?|pzE8l3bKHH&JHK-WBpbK9q#qW4MsK5k<7bRcp
zP|a4&-AUozv{%w!)9VSwH08~F?+DcLr*;0QE$Uo)`Pz|qTfUheG_vGb;_?M<tsf5=
zEtxDwkMXoC#zzNmxg4=$`H}L0XiBl!{*fu+pen!Q`K)V|!;DC#|Lp~`J0}h19L88L
z_VD`g<6GK_&MdSYc$IB8rltSP-Nx@F&$x#Lk^22%ROrhI0ukLNMggeP$RUs&(SSrs
znte69fdV<(Yr&#0Il+*;Jq%xRx?Rs2aOlzeR9fDM?>X!IKvU)>RBWqoW09f_E)M2`
z%U|)Zlj0UD?6EI%!`eIgrR(Dbf?lCamv6{3^8lU;(aN@28*bggt)Q{nsKJjplh0GP
z9Yn41ptjHDR3njPj%*M7!osoM`z=_LW(bGOH-AdRPJeCW8S^Z?Gji<ZEY6JTBB~&t
z>yCH#@E~{co}oTODjS;x@g0YK^zkkYF-DFTB=d)Hb<5237hXpQjDT>u%lq?ZUq#!U
zxxibERRZF-GuK3c{9R}GQaF3tLa1LwlSk}gnq^!MC=H8OuV`kzI#e{=ew}gb+S%a-
zdUk3@^)FY%gpt!<ZFIz|SI~K<Y9u5X^?df&4yji5R`|JFckK(B0z0wQbEN}|z8!cI
z5#{APKy$)VdgW7bTXoy#e@&eY@9sJ*v!)GiZIwnkS@C{ug175Vx486IQ*A5Bx|$lT
zqJDHY>!RmN$PyLIK2&esv8rfC>QVFv_)A~{wDnB3dI;M$z2f{`v%%ARoP{7tQKjso
z^+ZKFZQ9(!OQLNT1i%o$Z9e(npX9SY+2$vFd$S-D22Ll_=ZF(nJ6*o#bK(ECcFdMt
zbFQ4y);k?K<oImT!&+OflhAuEfT%bs&x&2dm@~3?Fek<FVzRi(>v=%$ZRBU!{*>+R
zQ*lX|kZr}BVoeTI9P~g1@kNLj6wO{&xmP5K!DHrUV%696k19>fg;Y<rx9=rfr87vx
zh!vFYpmRK6{04w8g?^jtSmMCP<piJJhthUjshYi0q?-H^rgoqQ`!VGACu&CynAYBr
zLxqVix}emf#-LCRY6n$2FaU*jN<uv=gf<_@JU~@aAMLXj51^OI5$bw4tWDUF9TYkr
zM2j=65JL}>6q3NQk-)`3i(eRx%}y5Eyr3b99kzhMtj=q=0}ljqF7QF$<6WfP_rfv-
zTtC0G6z_b_lOBl+mQO4ErFiNWQ6&)<BTg4*MMY7>u{>uX3<r!MkPT9EvZf}a%w#z1
zZ)MVN_5JSs7)jh^AK*eeFNNkfT}o-a{-*1EeaOych8UCag=}PBQTf2T=mBz~iS&_<
z_rKjZmm3qh9&Gc0hMBXr4SMw*ASLrwcu&P*q?TUiH1K97;fq)c;TevXGRA%vYhFWk
z$%1Yk9+>p-_6uM;^=!!alK{NJa(>ma?@O`okC0gceqVUo&5S=XN};iAhB(bJhhj=!
zP4g~CFyDS$ucDW5BR1!N{d_div$I3v*s%5z)P$?utnH!Y4UoUY==|V}%|Omr0lxIu
z>LsY93S@I81PCMi;JY<lPK0p|yt_}EC-ngMC>6pNu@t88r^au#dIt9ErjNOXD6KOi
zoAxeQ9qX6gTwmlM6o=d=%_@xJdA&N`59~HCVpuQl)Qs2?cmH*dkw9@JR&+u#+i;hj
zUM7Us|H8%1^ZeKK!b;oY8_SlHpQV+q8!AJ-&1?6`yjG~q!ods@(v&<*UOj@pcAIgi
zTSlXYV`n3-DcB}&w%cw6Td(G}fhBkgDbDf3gtVXgHt+lH110kyQtR4!=os(g?Hpv$
zv&|ctbNQ=n2}ete262&-Q|g@1TRwiT{G)XEdax@FBYIKsAm30*TM_$)WXwn-1nNQf
zV(Fbpy_IKAT@!IkN$?QJrRbZJg)>OtW}tW|$!jSECnyPgTP@BEH_d&<vpx9OLfu47
zoY2<zb-|LH#exE*x~O)E*AHQGjI~KWAzibvg(#4~;bb*7V;O$fXJ^W0LG^4I|NC!S
zth9iAuY>Ji8&OKP<_QTl$k@xxuNv6qzv>C*HVcSJ*IZUyl_qr@<xBsF%zk6eHzHts
zAtXVQzk@0KIw+>+br2@*VNu8;$M6&F+4jC!$9n0$)<|4Ap66hc5v&u})3F&>tX~p1
z6VH3hIKV3qm%P9NZ}2+KSjaTK{cbHyW(M!1fL(4CuK>#do`f#PS+&^NeBe&Xd%Hcd
zL~(wdw{~UZlzsE7Z|V0)vqKNoU_rqZ44{4cH*?e0ZAD7$lvKaN{IC1Ym!$SzQ%J)*
z&dotbh0@N2BhC@?DcAw0%|K!{cBQq%2d<*o3YJVg4hR=GFzsD0AbhdbTqymo>JZw@
zzysSV&Iv>Y0~Qdsv5^nGKtiFznI_Y7K7*=T7D5o$d;zrV4kAAoSvDAW<G_9UF*zCU
zI{cbe`ew@?^u*b?x0-JV32DRvkkErH8|Ee7Ft}~%N!JSeZf&mGuP0!}Y{7xh7)b5Z
zoTtRVO&(pp`_%}H2Ia-duIvP3X`wHlw|1MC?^bjxQkX<M*sE``UHXp1s8r4{{y#mk
z5FiwHmlS7**_AhtViE2*!KrCozgGzZ%kTP-zU|J!&E6?eawH2p=##l6>Fpx|2=a0T
z)0z0=O%os`3y=*OaJ~Kue5SV>{<m+8U$0FbfaUD@IFRpUm2lqObuJXbAr5|+QAKQd
zSwlHiK<S}BLxg5nV26O4VHn|y(p27wavE#83Ei=BnpiH~rla3Xh2NaqCF6`WX$8WJ
znO1!|ax7zn?-Fjy{KR3BEz2x4<RV3z%e|<F_3G_*I+v)_)Tey*nw9IbQ<J|t2JP32
zRV#s#n!a^{wpD~1=kA0F*O55ge&|ak$P!5v!TT#-s5(YOQOgyYzGy7ZBaRGuJ@fIs
zdhVnJvz2J~)C&w_m8qgQlVC2Md$%UyrXQokLdyndOnB5<Lya68Fd(p5=RRR$Q6Zs_
zF2V=+=kwmY-_`_<E_!DhYoC{LvyAwi;ecmyTe`OIKkTa6lXJUu?*N#r?vQpI_RJ8F
zTR3fA@IM*t6EYT&Y(@jc)dy%aUl2opZTeKxIUS_E<$OLE_%H-AD_7DlU%uoM6bzo9
zH=XrdFom?&WRJr$pW>d+)lp=+!dv5`c^WI1E`6`)Fd)}}%=SHEm%>6CZO6B5E)6t<
zGS}Eh_1ma%AIQE)lp+J~&;YgoR?^`HQqlzumUX7H{?NG^=OJ(isF5)lWD`vuWQ|DH
z@UXCG-nv1W0MFh?@^jH2kX|39wzYS6i}@^6H28s^$};%;e7jCzI~HVn?dg41L%~b?
zyXkxql8kp6_rTGqex46s@~D5Gq9toQe>rSQ=7Y|=t0wys&*|uEAXjYnq}Sfd7|*}+
z%D_}yN0lbcMcYFjh&ONP#-epbWr?FySoG-8Os{}1jN55o4j)E6PxN3;KaPl4Rbq+Y
zI;^kEctue@5{{;$sFw&$t8#lr6e-Mn(`u^XfQ`#oaDM!XF>2#jZ=DfKI}7?#cp|~h
zCgWsw_fB&Fd;W9Z?S_BLxUWp|&rc`P?q7-V?E)~D>G1pop8;8qu7`Y#ranW6!h}er
zH%DFj=h|LCUm3J{mrF`YiYB!*G-SuVDAx4q<Ml$zZ@$lnoJJg~imfGYu%a#jFXbCX
zTV0!f?$#Ozx=gkC;{%)nIBr@-1_s1uh1!7E%e#CVvZ+|2hsxJhTK?p(%?g~4dmxL_
z_H5NJ(52yy)NO0g!sNn2Tj7<=N=(gPCkCu^MiT5cFemc1B>-rm828yPmbt<4x!E=V
zooW{ZZFKqg_|lr$kRysf&h(UD7(p$BWNe2;qBj^^DFWHIC)SIFZ#8A5bFeJ&J?Bo<
z0AsTryRy|6E7;~*VZ3kA+t$|6k*7$nc3pSz&7k$y(Tdr<<^W4Kou_3@E^J|MRA^Wt
zG|j6#*1p(GeKBc>yY#SnKuY?^?HQDlm2jv&trY!vjQI<`aG!|~U5~u?5<3`#hZgLQ
z`Z0o%VTOpuDy(cS9ZUCN*c4498)U=-u`2d2LlR)YpP-v?$;g;TmKmz(F?fpHF8X8+
z0Yz0T)?!LZc5NAV^7ZDzj8*iSD~k@)BjaNo<=@VRQO89IE^;X4=bCxaysJG?xKk)>
zYYV*fCnp6TxpN;_Thz-Kxt8gcp+hrV7(M_+`}qroIxg{fHFE5DsWU?))#_nQH4YLS
z7DF>J8Gk-G$lFGPMM%?L)klXnSWRA^G9Jnw=Hqd*SE0*69u0^0$%NR8;0<GdCav|?
z`7L>f{;{n6rMi|@Apg5-;~o5)ZwBS<=HXJ#qkWG#K5q2G;dw>(8$OdRAWF?{o;Ba>
z`qylpZyaMl+D}g0#<n-e8a9A@ruopxiN5u`Wq%oIAHfb5QIKYi<o44(%jdc2m=aP_
zp@3??0)#nyr4x_0oO1@aN@<?zG=}NaXW#De%2$bngWnD&AneuhS!SN9*%)TM-lvL0
zI3739j&=KIP&-|ZHjh-C0+FQ3(Aoj*!DaQyO9kQ#NNi7e(CgnR8<Ylwa;Fv2`yh8f
z@v?f;vT-$-KMbifrt(!Mc_h8qxS-=?4GD2!j=E6nPKc%wU6$Ky#FW=Px3h_vjZjb~
zb$QH;Ine}z)Y298w8wmKiWDHRa3yxSypzvA1|><!{{<vH$v6H)Vo~mn^7mMwFV$;F
zR1~f4q9YV$r#RDwMXh2Ot+zL$6l9;Jz6%FxhPCnc<mA!fw!vQQcoWy_BoA_r4fUN(
zvliERAjt5(8I6Wrtfj61B8M?7wt^3+uq`ro1R7{GFy^g6{LX8{d%lK?D9(@)aRwqY
z9l=-!@dz(z$&oHF<Jk{@wMet?y?~YBhd^dFfEii8UX6xzwgQY|uj>^eH5wQ&;vU0+
z<Q4(4ChlseOTeMK1M)`ahtX!&&0F<OR2sT?k;Ji@2}rIFO#i0yJ;i-8NH$zy?WpN$
zPl{mj3D;dopnTk)(~L2P0x^qX8Ax>9S)TKOz@;bPWE~bO5K)7<x!uuGl{|hw;%Kvc
zGhRVOKj;$K*OYUdxiMkP^TGIs`7~&F$GdfiGFwxNbdZ+gkUVI=0f(FPny4YCe`Jam
zk}xIuSe6*quqZAukUN%zxSK7!H^m_5eNuenv{;*P@ZRhntq{K6T)~HCg?ZX4IP))J
z8cL`W@nCU9nm?hj!W4warHHPh>J|7gD$sOF$bbAttpa`whAe4g<d71#kM*B<3OSxv
z=w0v?pZ%4?E05pKDjELwn1>U%#Tmbu8oqV@Wam5(5$V&*5a<yKoB)xv+|`dbaSkn%
zCwE`P!gLjR2d4LjjDQXDbbRAH2?ObGe&F@RNi}xC0hk*TDba##4jLMo7s#DOf#lL>
zuTHY;N;m<D-8c8i8(u%)R4=_A0dXL|!yHtI-|cbEQqw{U9e_(rrU3d0Uw=p3EO;J7
z88mZoawX~@BZPRv;=__Pzd3w>2HFDxrmWZJ{{Do@wC-*i;#iRS^5})zGg%t<U%Ds|
z>+A~)W1mCBBFKP6>1vAK4X3{?Oy39KJ~@WI4}%sM=JsAbXlTL6tj*!g{zAwg&lRpI
z2*(LGLy@wB7C7C+ffsy|k};NX;^fF|=wEEM+IaFa+K7kak!vrd^%C;=0~9ZX%o<fs
zb8CvPy%t^|v%Z}J8CYUDmi&!8c`PImdwS$M+;?!m2Vs@ShIKv~STno%!|DZ?zrN2E
z5X^ADI?Tj@w?_f=BpSdH_Fu+1w@t`oL>Ne$vfZx8NC$#!Va<SLG$(m97(!oc9}T@?
z`0z~KB!_)S^NXD#u~9~7Z;EB=l1pF8Zt@jOu;FJ^3IwYlcsS6pX(`vOWfU4rj@N!n
z9AC;Bl$U@_W^LjA>%D8<?OC2ZS7+fU1(!jjaTL{z1m#rspZ3t0YP7Cy+Ww5>$f=@t
z*nv-Hav!T&s1;0@eeNBgvv!`q3zs$Yb>b~Tg$c)Y#D&V2a?vHF3Cs9#XamKFrq=XB
z*7tuqf?v$5o^`*4m5=1vz6vV1XEaxsqGMq(+_jpi(~}{NXAo>Po@w|l6fnFY;rqSa
zzXc^OZN^;U(k5HajHkZFg75;`?XiqZq{GbD75dwyoTTlA<81$4V3kvWxRbK;ug6*r
zHtoL17^Km{8#*Kf%de{=`s>3ZZqAoEwO(`G?u?kG_?VfQ(a$4piB^2~y+wx~?9(7a
zdS2fx>B1Qfs{9dtNVPLg;?HKG_J@iJ`i&d}N;5Lz3A_*r<SYi7jV1qs2f^O^bJ4U9
zJQfS+Z&)CU9}BW^XTCb0j;9tFa)Sd?Kwx_fPUsM%A`*c-dFk^8yo0%Y)A(Y^wGw1h
z2E>9v%))o7ZlA<w+X#^=c7D6Je~W^Yf)4VCZt##~cxV0w3dAf^@Iq6`U0ba_pzKU0
z-C`o69Fpt&@jV)%H}su+-GJqW+JE(k;Bq8sy;!GTjCJy%MRE|!SFcFx<~;5pKNr65
z@s#kd_Io;M7JWQ|z(NX*KY-}#y?-O@2M8B3f7I(xH`kayQ^$>m4Ba8K9{zuWAS-bX
zP{0%-;Yb|>YN$Wjq&sj_Qc)m;4|XEGHXa~IkeM^suy_R$6GtQ_ntasb0_rYO!&*jW
zBmiDMFYonl!320hvkBzBgfy(Ip5kSy0~4(F{m6&P@xGKn$FvvIC*<7t9-c~mcD4MJ
zkabU%C_Ry7A9}QMTzv~srb<asi)Y3=g&UBnH!7SYur-*=O})B;Pz>JoV<jUIQZzyG
zNOJTlXc?PFAy@84=hct+tfT}t4;^lMH0Mq->ZiLM>YvmcStz^mlVWU(stUf#jtKhN
zAndPf7fEsOf>d)-c!#Q=$!;=g8Ccfp%9efdQj{m2PwkF84PO%pR5`}P?HTd4?WI&m
zVu1+G%|3$ND?1$A7c)BnrmM?KkiMgDU$~h=gcJEJ`XFN;A?A8Hs1<L<b5>U0=0qbE
zOF&PNc~(Fh2<A_U>O_)<Grg7vK)|WuugHdEiDuW!8~rb;r@lH+BR2yOSk{gB?j0Wh
zI*Nl7^pOP$WNC7c+FnMcLDWo-s#mWXo4i5Y_|kxoi2n*me&CGg;=bl4Mn>%M%;2Q0
zx2L5C$o__uZ?GAEEXYKFOfC$WH~%p<mN7dI@C^wFq$t9#HxPIrf28G%Ox=ts%Mc*H
zTYr62!Sj>>JvsUSj7guP*Mjp`^XHacUhIGK-#|<yo%u?z@}xontHO7;0f?LXycg0L
z&LGN;OhXI8mnmf8k*duPAp-FAC^!ml=jXaxn;uj~2x!%#AW701rpDU>MQXBuknMuG
z-@8J0?$!L~NyW#Dd1OLV?D~Ki)^pda3oHW)zoWPG1=<|XXTF*@AEj&v#Z**~>nhR<
zTBW4a*2qNfFfrQ!Mlxh$Wjw7G8J1ydJPktF%Pz%bk-IIW56XWM+Qf7SOa)P^5IA<9
zC^NqO-u<B-30}u|6kV7-q@4}@x#h&@DhAf0s_+Tk>oxIZ*^qVrA!#CTz28W%;{V~x
zOag!Hv;jMfWA6Y9C-BM)G-XB01}*{QvAg%U@}3>f<|@0sQV$+KmDQ$ESeS|YMY`o(
zPS!K6rnKl`&x}~w3O4l#Co2cY+qa4l7;zOr?R~4Oe)#x10k%4n1Fu|16)BdNquU~Y
z#Dog`1h5wc7IFW(j@fpN75!E5ucphh)}65UE)<Am`{Hv7HnylK_;?CKMD2?z5a6&W
zcD9na<F%?y$w&c$YaRq^R041tlTs^wQH#v?Q-2u07FB&T{GhL1=H$r6SmKM_@DVpC
zn~H+G+Sypl8B6H{Q^w;Ln|d}TGrtd5bPDywGWT0%eo$v5KX|;jA*b{@2n06`$y{@R
zz>}z(F#FwZ#F(``kP}PpQ_xUip#9L5f-l=r-0e=#^pA8*e0;YdZ{K?f!N6pXE8Gba
z<NI7)ec2=;eJ`3J;<Ivb{Jn7F=L_|uSc3235<8Tf6Kr05aO`&5!lfXUQ-NEUi!xb$
z3VqFpk~kY-C%^MBs^?*!LF}i~e<uxEc4s@$WjR2;!<xGP!%v}Q8wl^>!S$~+my>zg
zRQK-gx2Tk*`a<?~_RIf{XqFC<3Aqu3mXTt(QU=GNOyF>`7ODB^i2O`>qS3u|j?crQ
z#Lo56i&3bz(v=}v&f_$C<<H-QKpe9a;bfK||F1F1r%ypZfq<OKAP%E5md;@P@o^J9
zuJBKRH0HW?uAeR<`3b^3TqqP885vf~&(O)gEB*Rp#T7=9@=0hw)xP-cq=$UOrSno{
zo;o_jzJ?3)<^7fw7iFBFkD(t#{C}<yKl-kcHIp!+Yd`Vb!RGz%#z?2bBBcSG$8M<g
ze!D9*8d4+}C3k&qN=C?b?io($Q|u=3aE}(m++?;$|D;8RC*1DHa_~u%xKO!#4P3hA
zZmA+cALZ|+d_+B6&RzIBMKgUN{7C4sUe<;x_{06VSVLZhiAEA}AIL%af@ur2b8GMV
zXC^3C;)5R`OJX|pMO|SGD)90NPy~D5UEC0N>nl$}K@j1%HA@}$7fyI|1HpD^*ZA+s
zM4h`;$uw(sPPUKG1@)iY(Ocu`R$>V0zU9PHWQPQ>Xz|_9V9T)*zCj5ux0{kmvrE%^
zs>XpVjIZWZlM)o9@ibgrcw+XteU@L>X7(Ui0uI<gh8pD52HEi!y(t7)=7{9ze6oj=
zP+){nNF5Zqe-<Rp*L<ihPPRQ4@j2J_Rm{^I>&)p0g<j3yh0z%jme#o|$LY^+p<~)B
zos??I!y*y_b}@#~XOj`N53x`EOk|2?zlY*~JpZG>_eD>zW^UOnfSA;ZS1&)8I;c1f
zM+lh)jO0+s2%y&L$53LY6*Coc%FYF1K2<Gc#;9AL4!X&=zmXhZ(oGfq*5G%e3J3cF
z?JB40UB;d3;q@-FhR_hyuyS*6Gd5?|ua->$RYJ+skHc#pDm-qX=1(iOXZ2uy6NJ`r
zU5BL4u8fXf0EA!r<lI7>($8vWCf5!Pc6b#j$Y=LCyEGgum{7o=qwl<SpO$l!=V9S8
zjZpp5@~mawu3yNRx|fw%kzJvO!0ub3TPz46Kklaj;h~n|IugHC+>_u7<uH>R%LN4t
zMv6*x+9oVl>YsEP$X%8W@qfK$5Iaimt+Wd!R|i`jJ(%bWhHJ&jB~6aNCL;WY6E8WM
z%!ja(pUQlqX&@rV(i9NEQ~RcrsrB%V+KAGxj4wjPGU*aV&XxYge8dmXXtkvFw`t!t
zlGoxXTRfl07a$2@n20-3GGjDqk@Tx5ry!K4YjMJ&c?cP{5)fv{o2V3HW3r^&9DdL7
z0{?}>H!^!=njA|Z(%W@c4E<)}0x~YSdm!y3oHoNZX&sIevWj4f7}7YNgs*0XPgfK5
zLOsr`Cxyd7_A7tPW&)h`$>Jr=*Sx&CL8abb>rMumkzo+vIO@g)>|aI(OvP!$cK@l;
z6Sb&O@BTvl_-5sR+?kn5B3damBRaCk)V&dxbBR@v>5pYimG|I}PZqhKyPe+51Gq9O
z<XwRoz_6ND8UiGyG*`KLKkQ*Emv@CU!&HzkhE)!6uDbH&Cw<8pF0yqPz!I8DMym=q
zFmREN(a>ke_qj<V$WGeE4%8m|#hd6#=(?Mc1!7hVVg~FV4(;e5FTY8%ttapMd7Hg7
z`7;Lsh$3XJDIh_&;w}^&xYxUW4)A?w0>=XsuDfk)rT2z4tC#sdb~~#O?tgyxJ2vfU
zcWiw^0MwdAm6IeyAl=5%jXA3SGc;btl`)UsJ?XP8J{6jqNo3$_BV``4c)YRWM23hn
zC6&mi(rR=y%`|(D7wQC02bCsts9j%uht@iFZMHOR>N#ntSyLBD>qw4WBBReXy&wY;
zS{9jgGmTky2|7Pm-a4wQf|yE}F4TKA`{3dx37}!2svpp2ih6Z|reah$!3I%tD7l--
zeGOL8?!VdVA0T_J#i|IVv|1j>-*s4<b;$V}9J{-L1R}$o{<{KVVuW6;0Tki{8CL8)
zb$2NW3NaKU_@~oB&-%PoX#`{LWge2{$k#W2!nS-#BTYeIMM`DK=N@32sPd7Y)jk}R
zRkVy#w}jqS#O>Q0NX@M*%H^-3b0|8~Z~5q%Sc0(8oocqD_ZLQE@;tA4-?jvF5uq!*
zrLlOZ82Jk?eD#y5NntWH=alb>UfcD2bLg(``>=&W_36G2TULg@x`h)_Rw*;O9Hf7v
z2~dJSu&H&`<wE7*6x@tKmiV4x&@nL(30wDbi>-+Ra9`18l!3fac5`S4TO0+5ep>h;
z>-(8<lPlZTQxUpc9wkZC@rA6wgJ6Z+N7n2Yc@nabwBg@q*|bZV?#oXmy-g~7`aVP+
zH6Zz;ErrL;tL<W28@>WELwW1U{0agSwDcHp*F+a)5nB#TK{FAHMz>I<Eu0|3`$5{d
z;Hn!LY2qhe6sCuT$ssLHChP4V&kQ}6hgy6-b*rnsZ{{ry?GjT`kP7?bU=#C%9Yu$J
zz_-OMBw37a?Rj~A^TEH6Fu^{ft|C$R%VeCQy65Is0&yb~QE?>LHBX<Q>G6!1zkF#C
zOiv(7TpDX`xVc5CAd;a>EG&hSw=>bD;b8&-dl46hsHRPE<wwIOKGTony4l&r-}S<~
zS;z^u1qp}r_*I!0bV`qk*swuvbER}c)%Se_c}nCeH|={4`O3Te4bL)3V|l~>So$tS
z8NL#+;KF(wFHJ=iZ2mF+#0Ml%fu7a;kVR8=vLaTiQiC?M%mw%5_i^W=l9wJ*T%8}E
z)ir#y(>W7w*8Uvo`0FS;Y&J|S7!Mim1u3~+XxNp&W=V$M+rPy0#hsk-1uM&seWtYw
zwl`OsE}PImVr?dKkqoR2#t=g<WiYdbfnfZiEDi6yUh_;*Toy<TGBbg3g?h+_w}DEj
z_POA*7>Rzc;ja=3!iIzcG<SjJ$y(vwxG<p@{xpf;6ba7Atnlqqe@6XqIC=xAI2vt^
zsQcObF!H;R&`0wVF7t@7*gQNbHpWpQGXDE4<=wG1BAibdMVVyn{R)#mdP$OCjM)Lj
z_h~5??lZhH-O|`{u&JPcO;tgOpNYWo+i^WX3S7mp>&@~C5AWg+;jk>U1}X#gT)#;q
zyGiwdd^4HiCTpbJ(y6>0syOk6LhuPaDmD>6AETPblvDpG=}u-4p_TiTMZvrHh(Izn
zn*?3<i)QlxX$b1OlDZ*@Pj>1!GVXnyRRxSB1k5OpF)HqfTHFjo+S)u~#BHGZO+;sH
zrnuYb*lt%{8}R4R%V)&KDnE=Ipq4)<bL$dfr}Q3{iHjR$Q&+tYfcmqLWHLzL@#qbx
zj1oNd2x4JE(WbV3J@b&!jv<Htx2n3Ox<mKVqPTL2y1X1x{JG5)AIC1Y5ETj47x&7n
z%16jtqisPNt6$hYNtLrohDz#XjJdZHW(&p|&#J`|Y6ZMne>O0z^=QFU85fx?m41;t
zt^GGy+W*keM2j5MrUWhHrwnc|sL!95f7Vn;AN@WGQTY5VFao{n&m&czpUYS@AIS(;
zNY()K59z99^~mYA$fcriv}e#nw@_0SaY^&&RM}IVjW`_|I(1aAo;NCU|Bty53xaN}
z?CPpYKT$O^@upIQ6KZ1P4EKKu&HQ?+qbU3<h7-$T9y{^ms@maC<$YR8-5EVQg8>45
zk&<QO9UEN{zcyl>AXgmT)hU^++|{rI(#?SkAj_w5T?}CAmI~Q(jf+p-e~aATE`mem
zYFb@dT{AF@2e#eu%jl@ad=Pp16RRXk<>#l&MsB*Q!}R0=y_%F)Jtdc9$@MfnEK9Jb
z*o;e<PxyZvii<hXwA89gxnO;Y&v^RLq@23S^kEDwvzj~eFgrsMbs~d)YW+1cIR<To
zh}NWl5NM&ePirZwrza#&{XWg>HdT)gh9(?z>Xn<nlCQXIH8%Nv((jP=sEObKho_h{
z`FpNQF|pkMJe)yo>Ljcp+S+V9oMDWRWDb2fbmIV&&2R5DET5#4zx*KJxH3rYt!Y~d
zn^HzX6zXBO0j<tw;a36#?+L)r=)P9rbbkI@aR4WmKP<6hs9_+9Zluh~9>1Xs;Goyx
z7TMt1YDWd!r#MlnQqT@QEA%VILP18gN}YwPED|Yb*R{C1GaG)Q=3o4SUejvKdOPJJ
zVxd=L!N#7BG^F$sbvh4UGvQvkXJ|hKl~~XlE_$rgFK0ugHoK(VQaygY2C9)B7sjK#
zgqjixyo-bEW^ECNH)QPCPl_CSbVo2w4TbMy{ida5WQo$mW@NRO?|L2|>(g6S-coW}
zpVj?X0*@WrLY`AxR_9oHYHaFE0ql_D{tj};)7A9il{Nj-M%xGFN?x{XG!w#HSAoCB
zo!%7`+H!vrjj0AJ&iNj8xbu4zCd@aC*KEsgL3ADp#S6-~@vJfZ@<%B~c{06`SeJhM
z90v%(1q=LCc04o_@#13(@27CF86O|Y-JunhpgH=Tl;~5$h5PfRitEq)!BCJ-yf)pz
zKy^GxbRC^__{jf@B7bWACo@+_!lRcva?1-AE3IJf;vBIl1Gw>fnSt}oA4Hxn6Hu6_
z;XeA(e^XZ)EaF%<LBax1W$214NWg-P&!SG|xzXT{Ixs|h;Cphy_oPgs5^owqFZ6z|
z4?D*e4Qt!*G((6wdbLnvFKHE@N!-tY;d^wULw%u4<s)`Mr-7eJnXR`I)qVs#k{b;x
z;K%%oA-ZhwIkigdvC8{o)cf5&sQHO5oUiatt{Eia#AGT~LpZ$6W3>yx#)q;<Ii-}C
zFY<>5#rd}1oU_RXmutUih;m+WDTOFoIP{dxV}dQK!%0)b^13`Wd;!txgzcB-Uqfvq
z_DV}@9bATk(SM{^0fk#5O6eyYrLTaDFi4x_L&n!>%4LR!e=9SD9ydnwqxPgvZ~Iv*
zKCL$R6Byiq)73d*mEms&0_V8E1p<=f_bcD{tur*MP|Os&ue9a!)LcSDSYp7GV|mh)
z#?wPNR$L|V$EPcuZ`_W^>+r0(voymVB>z#7hJ5#T;Yt@07PWKK9|1fRt^H^=Vr%`S
z#5%JGRSG*4DDoOfCvR-1o~@D!CDshEw!G`Mdm?Ml<_Z~jqkAaEHNf`njT50<Z3$z@
zrS$t*LZ+%ps;t~%7eh<Y1)s-wcxzuV^V&CGVEAz$QyFL08IJu$)Uo$<`}PRG2eTog
z@$T%aOiv{NJx9*C6;|Yo1Hd-WmX+|#b9&RMI$DF9pm+H(8?DJlI(T2FxlSBu?LDmH
zdTNM*L(sEiC&RnMlWO*FN3q>^!rUZH1=%Ppsh(*xRXR8h;eY-d^N#%cMqWp3+AY+|
z<%9f1>b8<l!J(w!+Em^KGmwq>aeF{GmcD7k@C_60&u8@>2Nz1d+Y@QM%|;*3Ipw1#
zsBw7E>$RzAsVqm+QB+EJ(6HPDqk8yKTt`Jx_4U><R8R1joMElbOHmXSZuzJ@ECTOd
z2|3mcb?P(xy*fqg$k9hwe(hv4!VP3#5<KfW>}1K#d*EdLv9E~iy)est8YWg6Tu$n_
zFchs6RcyUKj)Om_sZ%~bAtsdP`4p5}+#4EdPeY+O8~C_Hg+05Oczfhk14;0&NPjg)
zh1hW+uL)}=&^itA|05J}o|*%p2<eS=Xu7_srFIs1wIiYF#1vx8(ohn;cKyNj_s&e=
z3!H~TN~YKR|A(o!4vT7!_J`?^kdW?fq+6sx8l=0W8w3ox860E?36+$Fp(G4c7!U+O
zkQ7uxT1CYKeb?sPdw=iqoWG8q=j=WE8*6=PkriBgw3;SgBOJC8YVydPe)uYQ5Ebfm
z&Y#$>1Nv@RW<4?^LzwRB<d-2AkbZO-ZRzo^lW>@#BB06hvJJeILRO5BBUz@_>>zd4
zrFp5<?<;Xan%Bs#9L3UP=_rZcGqu9oSnn`-SUWT&Q=-U*%f)pv&o?D#&2_O#OLgS9
zT~4w)B^Je3Yh)W^#r!TibvYvkD=Zs$9l>QBDI~oxuoOX^@hhUFP?AMj)n?G%tZ<b(
zxS&=!-bB)IG@yGykCTbc<s0X%jC6{1s#1|Du-QYqBZp%=a}2tY@A{?P|1}l4*INZn
zK8)wpS#2y`0-W!O6Q=@U-Oc+ZnGeZ=hrf$zZ|~(R@({LH;wc>FLZa6r!*5FJlS6$&
zy`zIx$~YI@Wl$f?N2XlDA{8hrK;mHNR=r6&72LU}=X5tpu8vLHs)#VVk9O@yS{o%z
zv8=H`?&j;ijvlO>5FjHq%oDad@c&9g<*d!qsPn`L=UXCupCQjuYve->=b`80!?j0W
zr^J)3Zs`8OpdY&sltAHC`S?l>#&9OGw1+C$+=PJri?Zl#2Q!&Gw-{esv)@I9NGe$Y
zE?_|Ar}AX6p7iWRc@R1@*oO{Yd^2^Y*}e{1y^Pe%4##BkI_aXsiIs|#tS#1yvGLLS
z8%{F{qPA+e?QBmeo;Hx({Cz#GK~?I`l*LH#)+o!!g5L0*Vj7*CT4}q*SIZfi^m$b~
zdh4I@2QDgmOOlE*oW_2y&^LKe+d`zR-FjT&l(DZ}CS(__eWn~QxSall!lBNY7j}-V
zUS2$j=Oq4iseJ55U$iyLjPINM%l9uw+OC$mF>`71P#gTM7T=X#2pcJR`sZbA&ArLx
zYVbYn><Ql3ttEc@$;dQQn!%Ebkzf)L4GXOkO8)5Nxl0cv$P_ydf~bAATxdS?vQ0Uo
zoYIBc%BcNi6?Y^FYWtm5DwZ(8WqPnq{dDgjv{%LpHx_Tb&S)<X)#nl7!P?v3WRsTQ
z)>}g_lu^;9ebzpdXQF$v8M+z9i}TF$S=VS{qF2>q-}V9np4x3C;^W_HnnwES0e8hb
zbyi<~;0t>p$@}+!G4;IL?Xb7shPTdL>NtO&C1Kk#0ZkF<Z4$VPopNlW3GK?fr&mDi
zbbioS*#MW{QAmCE-Opzg;fL4e8+_P&jGL=wNf1Aj-9`4ZgMTj+j7{3MO}_0?j<$uJ
zHA^TWpeH02TIsywoUDAx@{?N(=E}Mrv@l;uNYh1iGrtg4rM>^TE*@<hYcgu#A>?t5
z)7?SIxTs3JW+;zag=Ir;#=YkIJr+U|(*DVy4zH`{S$=HFJf}oG&edg-EV*<Y_rtT6
zNQaM+hEE!suagw5NtW5pRJkr}(I#kyu0NQX7ny&~c8Mx@K33*mkKNOrPig|^4_CQN
z_^j^9Io;6)`yfgC)@TDU--Px4XbH$^-{nx8$F!M5+2da2|5*REk{;!(Ogmj8Tv*?=
z(W8nWh)pcl2e2Wp5;L?M?;lzgt83EeG#ZFt<3}|Ys48?<xxMd4Q(GDmISGPb@M4n7
z@$+&{Z$=y-JtdEgQ)<4He~G$f$WvtTh{sIlnNrTfxTkdd=c}Y^+0$w{yObO93!C4a
z;mL@LL}|`_i=DIM!TgbWN9Qg)vl-=4Nkg}yMZoK6qF-d<@72Py4wf|k+a`+byM2rd
zIm{zVdioiT4_5Ytyk2dUGX8U5`1|S;VcKl*Fa04kBR~(4wWf{lJl7V$o!zu7oIf<|
z1rQ1VTUF<8tjySjeNiuy)XB^mRbmpJW5B!)S?L<PB6af0<Oimdn*{bo_oS}DZWI7W
z4@$A#x_Q4%jh1bEu_<-3`b9cVq)L7&*qmEf0X8Q=R&9svKYUO^&@z<B(NpiT794A6
z7?96xQY|=_;M~~qLW}8W6n|Hzax2i8c(%!Nd{+}u*1|olXrevsDJ{Kj*-VR{&LsC3
z6)BxpA8_H8;g>_f>r}t-^?{>ue%$Rf_+O39LTKNA?F&&Ov2ql#N*?z}k@Ux<z|Q+F
zM|?s%J5bBz=xv19oO%B$P|cYv6MT^Z`W*S->r~M3sd<}Dv9Ndt_4dj`jR6#{;FntI
z<vv_PQbmn|M4;z!mh+ZDK6i$-(8SmmZTzuGDVgHk3=Va8|7iDyEukUPXV+NH)XmrL
zll2-54%qq9BNTzB^-}8Vp3lEgPsT4lrR!&#-Vnwn2v<t`-ZNF2kuS_hwHZCo5Naf%
zRSgdqE}kB2?fpHq!7adzq~5d(I-WJzW0&0xr<v}}DF5PsnIh5MJJWR8*+-ni*`7YN
z3HwpGVSF^?=8Z~GqA!AM8eeHQkGAtBFYSyE$E$99y3ZnPL$G(pGC$aUX<$U7d;5><
zjfnuU+a({s3+ebu`WB-JxmQ!e=bpPu=AbU3VQ7tG6A$N_>!+Gql{eEbg|#h;Jyw|*
zW3Bk_J4;{uF0H;xfY*KKGns#HZx*Fj-jhAZvK8Y#ogc&J&orUq;f8y)B;#p-QqZNs
zMm??I%F>ZDmZ7f7XB?(@AJcW8p`U|pN{WtV`{5n#hM5N+N@yrZ#`TKUTCMBz`q*98
zf~tuJ<9@i8W%lIl=Al8TZLIU8^I3^>T3NG@>65OJ#R5w$1M$VZ{x@N7W2~Iu^!1tf
z(wJ{i*<36d2N)D6oor_ZbN>cjlr>T*l~QjVZ+<E_{2*9cBtT(*^#+eEmgo9_McK<B
z-<^>~vG`>q&~C7Srv`}~&=pF+&F~t=0%Jkb497Ejna%1u2s-#Hc_o=^YL-8Gs`t7z
zO`w8cE%nG@wRv?uyV|%pv50?lJ%zQHl{mZLhHzp6lj!@(TTA%n9)3<4HyLTRb#8I9
z)@PFYw(s2|9+cWpGrl2{txKeXXX02)FKyv^EUhQW56<12Y~Y8MuQBe!p<gnC$9i2B
zmo-bm!x-|NDm73zwd6F;ZvD4o&q5LVOt~)mTRJn}ZwyVbvR{(TGm~Aw@8W-?v`^qf
zAve3FK!h>hmZzoOeH#xfz}&<mhI9WN$nv#@>OkMz9B*S)6^B=JOf_scM2uc-rGrln
zdC7EniBuk`d~Ugn9`w`#sDvz-0V{S=(A6$eZ|iMvD@!xg%`6vIC@P3L^0U(oCe4s#
zm}Crlu)Rqak+#U#*?o0u^SZ~J<MCFwxL`LgH%WyCY)z#7os?U>NlV|$_=PCH?6L0P
z<C^uOZ4<pKrJ3>kM?sP)<`;u?^_4%T#mR1+wKMrQaed%mONUrf7}9Z~U*?<ixYTW4
z@>I5uTa%1tZTb1g<|+j|J|0v;xJ#H_@48_<+u++YNK{)T{+z8u953r-mXB4lKf1L3
z*Apr>Y{F4n@j4^1(L%6&q4?##IoBv>JZCneyK^aDg0Sm_R==puS?S_(Zk1c#>H@l-
zA8tE6gk^Zt*VMgV$&)OnH`f^a%%4y;8J(~hVO4U5YoRt*YgWT{)_8VmXN{I3E8eM7
z{bQrwc*OC}(0PZ8-JCp3%;k}gfb>9sPrBtLHl#8MO>v^G?UiSVbrl&`_}FP3Q+#4>
z^#E$(_@e*W_Q%<Jt8hyeCUK##C-F;rcV~ZC3p}65rqCr=k@Bgf?gUlR3x_zz+cc4<
z#<dpk5AQ=J*4csx=6=p3UoT~oH#;SAqW5qGOVUeu+=~Sb2^qDXH^bCj9n|3R?=>G{
zFC&!1y!({?I>!=kvN-P8af-wU_sX5wxVP-8ZD!Kg_%BDDqiN=?hxxwT>bNh-LlH#N
z%{UgL%w$IivmyjFu}Oi;z=-{e%8d3ZfVVo0DL_faC@<94&i*K<&^ppxrHoWtnam}x
zqwTOGGal91`tj%k|KlHh+QgDOtOb1d((Al_Q4%#iy!m>=eR>;*!Kwlo;{=|RDuj_n
z`XuA}A`cTlfah7eUbUV=)`Q1nD79`W8itl`Gr((#K?R)kOqjrAn@zuJU8{RH;wDA)
zQ17U!?7T;>(p040$m_b#EyQ0Aj7$^YWanLM;$V3Z^n8orq##iU>!4?9;Jod07TMp=
zQmy(I!*Ju1vue!F<XWRvc^SV)O1(bY`KYLx3-Q#C0}NOe#0|W4!v{TD^0e2X-{&*8
z{(s2U-xYw2whz{R)4HBLBixTK%9*|yQGG6+6)evrO-&@z=B;NXG4!-_8sBc_<9V%0
zc};d27|hrmNj%@RpJp~LZ&diulc-#fY~aB&CF=JiL|XCP2}4kT?>tg6uWZ(MV3UCS
z;)SUhrh&=k12R!Ll!42s7y!iU$wZ`8>=SnzqaQ3ghUR!Hr#Q`IB(}U{8`H7ujZs!*
z4Xb(^q)$iMv1wT}<dHU4%`OnlJKL`}{nWkBqIcTy9=Qk4D)xQs*g4CE_yZNz$B$O0
z-lOMQTGLv10{lk2jlCqO3M;fjWd1G%b{LVpe#(Ada&D9ROP%*TJ-f@~(Z6bGn;_?0
z$KqY}dvkLC$8><(wVd#4$iM{VDtpeO`>L0MW1mqV^@2Eyhybp(Y<)0V?1L<V+%Sn)
z=erD1Rrpc%EA()*I%kgQyixkOLh)Wvgx*4^X_Te7D{{Wj^jBnQaU_fOwJOiOn5^Zr
zu$78BTI$BpWSku@V=b``9ZN>Ee#TJgwPyyQj+6qYY*KZ2yfJ)re4hBqM*6lBT9-|S
zWPHa0wI=0A9H-r1PJ0S_d1e~^-u;Ocx$pjUDI>xN1-ty4^22ULMN32D7qP`<U-9rB
z#!@UX312HM`zod0XsB?7g0cIDr6&8yivR^qJ<)^ca!~GG+!WbKZ=fA<0P(c8tRx7?
za-?%8*GounA-X*VHz?9WuiYkkJ3MIGW(R~YN$&s|UYKM>I9<i9P`kOhJyKp4i`Ee5
z*K#)Fy0VSGeEB750!)ssIvXD~y0S58g;;)s-^X3}onEO_&IRVaxU(KPJa?p#xFj!B
zlq~*<F5|%_gXL)Ka=QDvF~(A`w`M#;k$FeI2sJbJjrEi9|FRM@Yfo-dlJqsz#=nf?
z3A?+5bGvU6f92%vqq`;A5W3pKtFCHBaR%u@Mt~;Vo?$JC)(8?<&3|V{8F^J;1(ZVp
z;sqSO5Tk&ZHW1J347D4vIeTL$tt1>{pm9b^P*>3}5@kJh#&Sa#ldUJNXENbBL&6?@
zOKHvH;70cB(zPy3Y4pks3l_4w>`C5=5V~RU{VD6^3g`zr1p8!2!da>$=Im#a5}5y)
zmUc-E6L`=xjJ=nCe8WydZs$!pRyL1)XP=Y_@e@O#k|Ry|!+SFSe#!Na!01~dzwi>k
zYERNv=OybCz*zv?qqxu5b&qE&v!$B0(YIOfk*gtb8`Pk__v0KxNS1q>JJO)SBH^Va
z<ha2X2<~H62VT$?2s}c6)@mY__s}j6-O`sBm1jw}&?{L>4c$p0cJ`ECNW&%=9Edp*
z^7uy_6G#q}D*e;Re(EZt_jd4C(ce00@jmt6;0<qbNH6buVKY6+TXZ+GtoibhgX0=+
zaOICd-k`-;yR(8>$o(%L{EYvPlz^b6;Gf@gDGhSd6iSgO_f3u9mGL>HRd30X)%lfD
z&5(*-bdU9krlL@|pNHC5EUfMEm>!ozEu3KzvbN-*zIx3S$;+kjR8+kP+eNs7P90*_
z#?8=yarNRYGVFmAj`z~tTuCe4BReJIQH#pxjUK0p)zrEf@>6M?%2cSua7=XMC0Z2!
z+M}r6>td`wP)^q}jhZum-lx;|f537P1d3&C6>UP`))(%1t>E_RSIvUpoDhMB%8xcv
z<EE@9yv}!Bk}DLsoO2)7&i&hgAR#cSLk%2$u$di1tL42_RK|U4b>5Jzt62*{0keUF
z^vo})UiPa?51dENV#{cxXNJ-(<jGTwA0HgFJ>P><QS|m`MB{l8V$7JR1O#Q2moe%L
zqZz65=%}szv^=ZYxi%_Oo$gv*c1&}bt7G5bxEb1Z9q7|AZ3t4)RC@e#PSoMyl38Px
zh0mM4#twNFGX~4b)dQU~#^-|}Vj|l5jGTz#RhI?=UUU$zOwI7%u71%PyUuO04Brgl
zjH#}MuTqkx7vfEJH3GoX>zNNZChnyw;KllI?fN}^bk~Tt-FzkO*=)_n3`yLK{A8ec
z5PPS^dx?#CW%czZcrBwRhst_YRD~^Ny&|k%K;}=lL75{<RI2P7c(FArvCuzr|Jy%R
z&6z6cw455n9vgs-c?|p51q{g3y%n2&u}u30T6I&h+B*e-1K}Tr@Y<+$&8mCFb61-?
zUlm`@e~QaiaT*aelhRmdc21TD5reeVl))_j6Tbojij1$lGYxz%#v^EY&3XBLC_BA4
z%dL<jJzVudEV4M55mMTyjr-A-yhYMdGU(DDv7F)ZNqfKjiDJRK!0x^ElH%BhEUB1D
zlK;Dj6?pEu>pi`s^q)LH7TqeT|2JK-D7^kEZAH5jbg^U{&=d{P?|r;^^9<+^JeHM7
zuv?*I)=6ny>*;Bw2UZgmOga)xQzPN5IJow#*$OVMjYb-GM<Ny}V=?{9ML~K)`il>E
z-BdHBHHFOq>H9BWh4qyEYqhd5=5KH2xuN~NAL-TBmcR@*QFbPlA}{-c=~azpiNhh0
z?bfAj<^DzRJ}7Sr#7->7QmFp^@HU1@D^VXBT*60NWHJ>e_+>5p6@_{N*EQmTXl~@(
z=3C#nE4K~|<nV~brQo)h#Bhxgo91a8BL0R0TgFj*EQ`C)NXFl_NNzyaxhkBWJI!g}
zbO9R{bL!m1R7wZ!DjDUdQoicJpE=pvb-i+Tq(83@|L}~ieQ-B9ln-bTiiXO&j*9L6
zrGUu#G)<gkSvWOF!25xgCKWATHRhf#?Zd<WfRShry1seTd_6(s|3n$Q4v0B9rq6x)
zH<Yd52iHHODsjGeB6ES=i4rMie7Ri`##%=G?1ZP06rZ|OicJ0C*P8X-ksnEnKuo7%
zk%*@2ElY#gj+`19BC3b7W>RF8&Qt$e)ucJ`rwU(RSNKM7TZ#5KfiUW+yIN&gG+VIu
zd#T*9OycguU^eY@(T<!;a8Smu3n=PLk^8gP<VbrpHwYVe41ds`W)75?Pzlm8STHZ6
z`~0)LPC}KIru41;gI=1GYN31Wk1Eq>k7e|;!o_swJ8QrmD=}q%pr`9XE*>4i{Qpf0
zT(~13rU0d6c7`ySYMATk4b||O=oUKuAyMU}0j_i1t<B{MkY8<4)xsKHKepOV)OtbL
za8IY{GE+_Jv&gFUg*1-=f6MS02V81OOZ|sekl&<wTm;&W|Dwuf*U7<8htsgN@jey3
z`iC4F=W9GfW%m{H$xtNVO`2wTF>`o*)(`=8JP*F~xxOaF!iJ{JlDr9;8M&xnhmnc5
z>g*xG;XHX*jFLfX>8yRb#!t`<6Ml+)d4=)l_S%i}oJd+p(eYhCU6tV8xw+f+P_g43
z0TSY9l?UK5COL~q>&BZooAiA<BgCL{(nI%!3j&4Uw^`1;m=PJKr~Z0Sq{iRQq@QZ-
zfwl!7yG;SUfRbEcRcBSUuL!JL=}mVTmD=$|J;!Em9wtMYNNuY(G`wAZDt8@bR06p}
z*sLtIJ98Gv+`e*N84S=_yjGl%o>wefW9&ioq5rhDs}gBg7pRJgL&aE<5Uovhl^|Cj
zAs>gz6KtNiJvW%u_zu3`fBbMe3apQp58fr8UR}>Ob2%Ucjn=V9FI+v1`A;EQLvt5C
z6_JImVP^8QWR@u&3M!sR7n<(>Oe;Dp&d1LFls8OG$tz{etCC0elYO4LJHug3Mkez9
z_XD1{rqgzq5N2<-5|urw(9;s>Xo?(@hH+Lr07vI%NvOWK4A5Il9tIfciEE!E@mNb!
zvmM)Ij$asOol4Qs2%LS&j*@|((3G9<nDI}1D+9hC)a4FmOBTk0Gq4vnh;qhcm=+^V
z%+$}c`$y#Gx)x5f6Fud-q1OIB{Oyke2=Zk}bARUz5y%Z{N&rZnp4(*pKe<Wpl>;u&
zC2-^6AxV~%zG)nUkTz6auxfedQ%AF6vic%FZ-$Ac!x>?)Zw{|z$ZrVeB?zaatVJjR
z)X{>~5eKBQ)93(zKLq|8A%+|MiYw!CFX~oWUfxfKNG;5AoBN*Q2Dzw3sMsYPx_xa_
z!u-0GRIXwjm$T{MV4aQtBTYH36z^^&J>3s?=gh470AbzMHKh+;n;Owiq~C+1C0SMy
zQu-!t%}?E_nVXie@2Z*utMnDbQVYJ@+$T?-yzaAyH%sKUTA<c4SeGG5W2(zW;@$mk
ziP{X$cSGg$+I@<08}FaZmus+Q*=KV2X8(_MLz1v#c*;~Z(Jk1Lz-M+EPOW>bN}TQ<
z6UmsoHDB)jkGh;%hE{K+!cL_<==S2jq+jWV^DPa#l;m5`sVcR!{u@4$Odor^M2i0<
z>evYUsRJc;R|aoJ8Ir(@+Ee5KgM;7ZKd+Y+4OVt$JND$;%O`#YR|q~{*|qNrjZyi4
zIT1P;?3LDW=Q!L3nN(*Tkc6Eh&>2;*M7gOz`eVqW4yVg4FQru$;vSubyeTe#Mkr^d
zQg?hbPcRsZ{%{)dbcVA!HKs~(-$wj=X9}yDd?f8gh~dry(U~I_Fpn!CKFc_YUNltl
zhNc<qOj^~3dZ3I&%4;NCX;hm}LEakQLfLB<$P9xSrPH22fWUr%xr(Xs#ZwjaEy?vT
zd$m>4$2G@P7h`C=_o;odT$YFbuI8&>douP6iHNJ|JQ(Gq!4Ct$lgdVaV{wx<CYD54
zYZ^-w<`+-8pYQxROmf9^c9_6m086tU5%!meGHf$tH{*SW(~*uGhl^+XdGv$|uDt1v
zgri?RsuLNMKy=siuWTV_5U*9LHjno+c=XQ(N@qgVrrs&ZMOtTgu*6yAREAR*iQZLq
zfek^5&on8QwtuZTXr?LBnc~0vInHz)sD7xZob3fpeFz+-=g(lqG0WklweV#(z<M5>
z$0R%H>EmXnTw%fiD@r+|f{4lA`BtM<$HlKKge@-*Mq*eJM$P4S^@^seUhLClwk<Z{
z;{B|No`O-2jYbREUo4T=w)-cJkDVJ2q!1d^((vedJndvuBm*V;L9vV1{>11D|4Sq!
zkTjSvZoEL=781v}P?q{glI_OQ)N2dUQu+?b+FB<s8OBq}^y&M1E|F)@$b^VO0w%f^
zuBV4e>}CuRJubzaRfc%C@zl)f%xIp<$aw`4f_8OQ0ga9FYSP;*$I#KsN(zoj8ZYTQ
znK}4bzHBrR9~9-BZ;7&biMjfs@TyYY7<pfApy|0;2%vy}%7P+i{@`l{@@oozp4<{A
znnu68^!X=;^VWXJd5ZI7%AB0#V8zK!!ux$C&`W|ZO#a^RZ{kXMToGQ(H#71K8>^?7
z&K`Y}kF$clVXoxHwY&L+i8KU|I`kE>%)E)5Hkp5T<;TqsPyYt8sRz2H+!^w#lR4S-
zm82w~d{<sq6*qtE>~72vXllxcZAWzK(L)qUoXS@COaw@nRB}1}IH2u=PV%x?)l2UB
z|DML4I~kc#0{eEZm+E03{T~Obuq2N1fzq_Jg?74aX3wqB66TLDC7)lLAMF#Y(HUBM
z{xcLkK~JPTJ8O|qmPFCj2r-B3=ikLdY7Lcbl|U-<0x^}CmO)PKsn^lp6bos{dFb!E
zcWKo8K0MkrX25xndMswvJyM{g(koS=kq_GV(9a-70R9;^91e#hq>3A{6XA(yl9mx+
zb6;SN*4IOO&L@`zO$LM(R79b;6@=i&-Rc<)8h22M{=SLVmK*bs0wgM<Pn>i&BB`R6
zAb=E5wR`YaGhS<WQnHL`)CSWPX9HSPCk*nS>)cf@1>owDw8Gh$O{Add@*`Yc)jh!I
zz55-7qR4D#L&S^yJTanX=F`kyx*^X|L)~+xr^PRbKcfZ?x9=t@@0<o?tVr6ucfLL<
z>_Ib^*YV#<hTuqHFV>gt*1v922XNLH8Q4phW=7D&UcKeunS%aIgm4d30^Bx^MW{Z;
z52$eN7Mx0_N8;z5##R!I4Su325okO}t2B<G*N#&WH@^cwO;v_bd6JZ96zhv-N3y?$
z7r5+XaZ+#ecOepPKNS(75%%_NYYEVtGG?@Pgyg&83G<OUi-DU}4#}Pvjk^LK?oPQf
zcS1oIeG+@czKyS{J!d{5Y$0`tjiciOy^bmve35)MgUqIy+<S~!%H+KRkQ)J17AU`|
zJ`{4GYNQ!ajEaw4M*S%wfM7|+B-EWM^`a{>H*=b8H>dVcRiQ~_IF&LzJq@AYk8gnC
z9@0L}+BFaB&<wJIp83C2*l|dOt<2X3vcrZZPic#|Va9Kcm$YLaQFQ3taJ~_}EMfzH
zXsYQ+8NslzHMT(V<s3=cA1gVnS9R=NVt??>$}(IA0)mAk*cS_P6SkSp*(I&LzJ4cY
z2Tt2aZ)--6{@Ww;IzloadQsnnU^!slC%_i*^a{->HK=8|ATC_x@2H%gfs4e9%99T$
zDzs(8Dn{i%N<z?3<h4PBFkb6{!Ycxghkwk;GbtBInpMSARE{75K9!s7^Ub0MM1{Iq
zgqoeQ2jsw-!A{!0Msdj$bb2(WM6CO7ucbbpi0bHm8$EcStS2;M(1~c|?3M@v;GJF%
zo+ic#7DQx7r$J3j=xh^C8L;Iro~D2GOA9VPmX|fI!rU`CFLa~~uRufaeku0bponj2
zrykv)Ki>&2R$poP;`b@W?nB9|>N~`0x86umQT10zucK0=3o`v#StqNF1SGg;6{KwS
zZ|PDHRJLGQf4HNH>jDBk__*Y0{Deds4m=bSy-q*<QoFV!8XLLCzE!4yFmEUw2uz)p
zG&IGNpd(e?SjTSZ@TqC>dTw)U#K8n0VHN1Gl;3GRos{3(dMUYcy+t`TM3B99)Z&!0
zLSIlbj~QrIUh5iU9$%!+vLN|l9zt?V9Ps3;#hfj%U|FMGk?BHNvwd<2cMTC!`_#2!
zI{H-eUF#9zve=KqlWh7$LHX`(sW;*m2;MJWev2aIjKPEP5OTM_RSPwLc85$;8^9?Q
zwg=2mLlQL`DA*5Tvg*6;-FslKE<dKYzuQGW4I)`fJ~h?C`Og>NKd_ilMS&56<9LA~
zlW;r#yOvEC^J(g6caNmS1#%AwSlsi~`Ci<L0h}%OR#Rc$CWJhtnuvKYKPm53>cmBn
zF%DQ!aa{`&S#QaiOzFt9;g1drYmVP7KEliZ)Z3#Eiemkjp*T9jB5z}3=^0k)9fpW>
z0tB;P)6cwrM0si<^|bF&;&1xhm88`D?3~X~!*^0>3g0v!#oPMSE<NKp&8kPkk-^m<
zqHumxgOg>1=Y9r7&pMdwt%wDoT^V7Ny>CUVBZo>ksT(rjX+~__?^nroKLJjhajk<B
zx?bjs6yf)BhG6vt%7IB~&0_6O_sWFt5d$yl`!ENt_b^S!mkFXe;HxMx0S*nmls*+V
z&ou4~y&YM!W2Wz|>_wELgw#UTiKiJFWAi_MW^A62>HxkHXjyx4q6mIL-OB+`^pSz?
zFVxK;Gx^wA;dg&YwfTK;Ix&}9wUpZE$H1R2;)@6fZmJnGUNaEMf3Ww<K?i!v5MZRR
z0zTYkMOWEN!gy+QF0VYL7M*!RV<63)VPY@^u#-(@GANx@F2E}D%>%hmpyj^Hk97&k
z!_LQWJop!_oG#e)0W`rW-Ae%RF2bh+@w>Mz>dX(l@mf}LLZYcWD5uzSQXYXCY$7pL
zKcxm!Ec%=Ijx}3Hb0-^p04c{gx<SEb2U>eKOoRWNV*K5|7%!d+NFGN<ssb&loAUC&
z$0(JNr7XP|@vMCK_k<aWURsiO{V11I`6m+L$EwB@7k`yfzGp0YE;e9lt?u`mb=bkl
z%NXUpJfsILB|HCao+-7Dv0ZTg5%Q%Cki(`WrMoG}?NWUA{@lw*8#CCKGUys!QTVAq
zHC=0@j;pGTTAIN|a2we#5KUDeRR7|T(*h|T<##Ws$*xe6cIbufIls_34?V*)ZJuN)
z2Q=&+`846L>4tjE7bG}B!;JuFrA~2rHzjPaq+o4hs+#UGcVi7y7JGNOLqK7RC&^D;
zJ&J(<+_XQl@yFrUat~NYy@e9$1Ei=>xuxVDETND#Yp*$E%`)=rTDEFpYL4OSN||w+
z>uGjekbIkA0_L2meCi`}em<YbN+e%cNz0(%Ez{>}?~sb7GL#<lZ?cj;hW^73k&uDY
zs5N+^zYsb!Up;E%o#PHD>BHCv=egD%8t;ZJzETQEK|))~Czqs=h#j8&yEw_xj3t^%
z;kF`S_#efz@;Z|U?o8fYyIi6nh=z}}aJjyOsQx0AWEK;{9!QbjyGJVvN7hiDB}cW2
zdU}gk*ks_^tg$3N&XV*sByw(vP3Ee?y@<llb!;F}$Ydh!tgO%ijM(j}TJ90E|GCHB
zqfY7xO6Md}o+EP&GV=59J`=8djsW$*4y$;Fg~p6L-RaEc%-x8+?Ao(ATg?90Ik}U;
z8=()tuOsy;>8?T3*>7{)NDS!-Vh{bRNErHyBWwglp%o{Q{vGZp+tSuMh$jsAl?dOG
z#jvwpe#7O6`GagD?lvkMcglkQX`D(ItX2_H<~vb5DJd-gM_&q?_l%R4uFxjSL>v7?
zMhg9`kJseqj7xeJz{|PAdeNhzUXkH6xrZ#EozU{W`Jhzdjis7JH#Tj~2lWI<r8k*`
zTlH(k(<W`X!78gYdNdlm^^#XVTO1_3m4l^X5f<OaM>MDxqN3ZyiJ@&RZ{j9%d|LyZ
z-MlX#gn_SMriK(wYTmQzaa(BE6My;?0@B*oJ~VjXH%a@`-u9xQxB{1Le=$)TVq5h;
zK2^b&CL``ahhC)~4moq0>YM;`N!MzHUW<06_O1VogmJ<Rj0~(!i8qk7P~OS)T;#N*
zCxbt3th1oPW8T3|nJgd*V+m<%t5PvMkc}+Ou1Sn7{P#>J@SZA+>w(LM-R>W1uh%dE
z#$xrLp&_ZbU2}<32Is~yDqwem2G#QH=U24tKkEm$CAmYZ4;A%7cS<pr4LU`_u5S*O
z#c5sMlmNh=k)i*g28x%oBH^TW3i%z!yO{j_9Iqgmhsz0tN{x57)y;y00l|`9U>f!x
z!$5+dhrN~^Mj>p>eqRXys0D2??$R4Cdch*;wvO}tEx+cS4A{$}rED!sp4%G@hsH<0
z_T-mCBCt)$&DH2mA15eAas006d*t*Z!Vqm-P+eV?4o?;ckrnL4EqcV1kxR^bE)TfJ
z50yFLHj2<JE#n{nrfAAN27eexY)iuv>D2h-69RZD3XqbK@@*c1sNfMIDzJ$7?}+Lh
zbdE!Ab3l=Cm8(K`qiEgbMG&}Om8`OMJyDW^aQBEAufU|Z>s#8-QzG8hYLvuBcV`oY
zYf_lxUaHQ>&Ca*8dvm?|K#R4RVX6-LG=BF!afIOzl{Bk~hL^YiwPl{qA8lka((u??
ze{nMKLQ+sV_^FZJT4M;%idTskI^eyMm-j`evwVxLOD@)M?R6`zuNT6tjTE-vq*ZEd
zk>0c0<Q3rI$6aci&>fq>!WWPJ)t)2Gtdd+2F!K5#)dhPAqs--W>@J9uv<!OG)B816
zD(ug4v$D#;*7T;kb49X?yBWDJBe{JED%TKPR)vW6^;7t&NJ{L;D>g(xMKLJA#T)Jt
z@+rV<6I5&n>!a3XbpB0|rrB*?<jQf~;dlw(Ya;QGgD>)0?(s#_)xKRZJLa9|k#EAn
z`@{uYFPEcb!dOW}ez;#-;emw}B*==pbARm$&lG2M2O*X7vk|v|)ZpzH3{q((ikoOe
z(f}K;LyFiFF@$rQlTlRtX<xjiAU@j{|9q25YXsCKg!|hMzH29*<lG|_Hud^qpBhw{
zyz2y>`P8Df{mDLx+3m7kgTl{hYIv}WRK%KPG&G(u)ubodKj(?UVXbnO(@2T*hK>$p
zOt`a@*^0Y^lrcpHNkL7Z->bDJHW-e1L+nW8bMQ_T<i9Py-&SR!=#}|v;cBChW}r+p
zMoDQ6x*OO*&V=^<*8!~ZO+-`dv7P1n55;zCk+_WIaP=NbbCN$o0Tr3H0-4;M6fjo<
zntC*aFYB{V*Jx*>J4Zk%bW#Y>3H3*a7F`hwzPrnsyizSLFrnJSboy9>`<+&o6e;^(
zwb=Ap7ss1)6d6{9?Y*$?d+<c8t6#&JAfS!4<0=|x{^5g<jYBTepb2<m<L9KFqAvvk
zrpJ(VBOP;Q?43TAvVT$TUoG=SH2J9mLAa*tF7JbUqMWetEzN_;<Clem>?Kh=l@Fc;
zS@509r0uHyO5H)R&Y=*&b&BVG<_B+)KAhXFxa2?RFVw1Ra045{4J>oNr7V-<TDHE!
z1rb0~-5csYEQzT0cJS0BaxWGyghvVazzycS%lsWs*r^k`yk4sdrI725@D*~6rtJV^
zsFE&T9E8P$H-j64+C)GI5AWN$MBpbFl<^o%!CoAl|L3JQ<=)m<OTfx|AD;5db~i9x
zEzf?x>_x+UVw(TpS&z6tG-rv(rn{=jPjayOrTa7poQFayEsl}tmzPzO0vkhP(C+x%
z$BpNV-YM{1NWr_|Qflepb~ixx{sq{Mogxst_P^@zfC|&w@S`=t+WC8dltD421zQ*q
zF`NH;`TI(e%JbUgXedD#h5@g%N+o9XoPRVSU^rx$KqxDzWc%a%d{r*WZ`tV@^F?aS
z#!NA*481w`qu4(2npOFg+WLDkr%ld<aagXr$ML3&_MKJ6XZD2i+mY^9iWM8lkfFwq
ze?SU`4!`w722RV(p~(!ys_`6%@HQxesV-ScL;xv8;(UeDkk7jMV%8%P-QPjgaip_8
zAfiWITydN7cmEcD5nPkdk=zPT(3Wi|n33s>a(3)BpQxR$z(CWo<@z|!r;-se;pLvI
z63x6Fy)kOBGhA5ER@V|@Q)qed=FQP_)epchwBEoyexTebJkijYDsI6uQ?0i^RkhYE
zZqg@_9BJz7K=zG~M{1qUa+Ema8BjG>T~SfDKq=uXo79IJfB*M;;2Y$KP!!yJz~2#t
z6mkv;+LBTb&JSvJ+vs!J$H4s{I1=eSju+N5X?ifv26n}AC5<T5+|%G%03r2XNs44l
z&}{b>tM=@xyz+bEHMRT#0-QjG5P#j|D2Wmf!Tv$>D%+%SedcdezTM+1u&X{16Ma%=
z$e;uI*P5fX$Zje9^Wd2@Qzl5Yv%{OI><*i*JC(Te)!)zj%fm(~Ded?RNxpnBQ0xN5
zw(tlAf;*ahT;zq+4}=5XSB#BR-|c2H)zz;4)VPZ9as|+@PSw`=F_O9r<YS*5vTieg
z18?>j*nOO`t!CzWtH&(EO-3zWC1rAb#>7;n=zfgoxn32+yvd<JhHPNrTqX~QK%cPA
zTN-g|5wHy&A?D<09iaGmQ)g)0*y-m*S%R`~!ZauGpI;Al`52F0X}#0y@xA}uHJ^Kt
z3=|x%Dt-qo_CTLD6%4=IPd23Dom}#{)y!~q(085Ebu>{4Y85>xM@T={>mmXGs(e>?
zqE~(RuZU1s{vo4y;I92+-ZLK8EY^ma{A}9l&Ki+7+`0Fada7Ey=9aJTEfwQYRp6Q0
z;5tIn*&DG~I*5b=W~o0s_E|fxtg+iMXUril2mc-}e%kX%HVS{(biVWJOF20^mE<WO
zVs+&FW}{KmC~)?Ey&_*+rKbRwDkDHa-^~zjO{<&x-NuK5PkIf}YLB4A_u^hEL?M&w
zct`(~W`6nm1&)N@bC<?%T6#3pmA$hxgb8IxPlyTV_J%m1pdAy%8ILEpR$7{ZKT;AO
z<i=Euv(x>+T!g7HW;(}SV%>^8K`jD}R{NPk)l^(GnU$$8Q*A7@-~|itk1sp%=G-w8
z;c0tBS$#W_+{}S2=Z<T+*KdT~Urd1D^^Ohy;8~jm6tsVK<N$D&h(<2X>X{52JpcH!
zDO@2Mx&z+>jWXDQ4-d5SjN75un+)=FD?f!fGJiLKuuKHzyBlDv396;}3ZqQo^4l?y
z+u9Cl-;(`TO1VORntY*_N6F`i54&Fe9bsXZd0>C~qOSLSNJfz0l2v{*D!T5Z>lRg+
zSMxX4;w|Nya2A8*pCNlBZ;V%EprpY*c~KY;(cya!Q6PmKB_M=e3VP(yV&kMp@WtCA
zB21?7MW_nSQ?o*3mFGnM2YOKc5#4n0c|O$i7CI?3bbYusAW}Y-UDy@Cioc3YUl5E<
zcUSo&wXdF2Qn(!Zg*pl)upxZN>(L)_L=Ko>gM)$`VE*yhtMO2#gjjL}NO-fy^3hn(
znvUq2<a&>Jb34eBN=0KFL=@fn|CQS!S}za6lj2G2@^cM9C3_J)=e_}~byRf6i8W{c
z;?`j5Xud>$Lw$_n4Wtx1;DQsw?$VC4uCgQQOl!KT@H!OF&X_W{<xi#aC3OcLv)_~j
zz4P-nX7nZbVZh5Y|0gL)BkT(tb_2!O*NZ@icUS8@Z$fHZ<bAtU8<=RIYoFSilbDx?
z8Xs<@jVWEnlkB3b7X6F$qKv8f=W;T-1FJccgWHgxjGiXvhn?dQ%5$*Q<A3FTrA1Nn
z^JsFd#3^4LvuP_YqTZ*_mFp*&y9JIW(xVPr?oIcu6G3Vt)E%IO`98npdN0i@$(O`4
zPrL2Hiu;~%0J9@CaZJO>@$VDIF2AqgbR*B|{26#o1?n4=>*#<f7B$$XZZM_5Qn#AY
zYwjwa0w<wqzuIo<fX$djldrfMEj}L)dbW57S)d9D+-K&QP`C{llIU+;X2Fb5r1kSw
zmWQ6L>wb8Dtj_4cHoeaNb-rX}FA=js?hFNpFM;5}f!>6Z=4h&mx|GGqAm^T;IYd@a
zkFE$Vvj6Wr5aHm>{)GhJf;@ZY_wV*I64r$tv%RNnpFRJe*PF=0Bt;eVV5VuWh6N_{
z!hwyaVYc%0v*_)6xbYeJwa2iXYGlv`dyNeLR9Y#kosnmqWs&r1cLSqwULt#DGJO1O
zsOjv^c(m#VecFF@*B0r&Yz9)TcH`L2AtwZ6H~t?2l96_3*9y%9Od&cl?<E1)f#k|w
zcP7M1Y}^f?v^NTwr^#6kl@}24J1{qdnM!j|Gwmlep2~>h<&=cr5h;ZYNXuXiiITO3
zVG5NuGV7dzM05qm|GuTta^okE)Z06frKGayW3hYd<juW*3fWh=WD8r@E6S<iQBw0P
z1?{a_VffLDF4P+TxwQNas+`F_QyLvMy6{B6gGO6eMLwcT|IT>^hC(Ws6~AFgnyBXU
zg-BMzK$lnEBE5p%BARM?Y@bVBJWCKuM7_LNc$2f#WRnvoz<Oe<nUTH#QIMCidlL_1
ztCN=%Ncu|ksRx4w#>4TF4UU{LdMK-}A6;%NNbD5rl%XF~p}q62cKPg?L8zm!O8;-b
z-z29{;lYJZUNc&6IZ*G>Y=BKgSFIwWLb%C@K^u1^gyh_>uCutW1W0Yp8~JU$K=?wb
z@SshaG|8AbUwhpc(U~ZCRP$ps;|-3=3-(z|WHE`O8XuqE+LEw)r={g-HyOorr)om4
z>fchFjPSa#mD&n7(Ql`u`{pDbJL2JZwK@X^WYse0?>=ic+Q>b!rGO!qRDKe~^#k0z
zI;yhPO<AE!e`JCze)Ci&Z})Dw#etyWoto-CEC@EJ)nGXR8dq&aOQuTNE^#TZdG>e*
zIqzTet+UhV2!VHUX{Pj%p68~E$#nR@`&5FC4Q>|OiG{dVE|h~wUJbprmnN$$oNsq#
zreAP8_*s^&Jym>gbt`V|=h=e9KxzbpiE^u57ZU0LU%<L!AR3DG`B4~B!CqoPT92dz
zv?Q;2ORpw>%wkHChX3(l*eYO9;=};`7%KyEi+2*@dA9$<+7-<@y<1`ys^L5V9zAEL
z6;dssrrlyqcCjt2Y~LRnSrR41wz@r)iHcEArw@%$*B=ou%uS)0`q_>_%dkdK6Q@{t
zK87F*=2Hed?mMi3My(wGVAn|C*PkK6;!ao#`ZrI4OHKI^Q4EA2K=9D)#9v9aV`sL<
z(KxDaE&~+-qg1AB>d;HD!Of&#f8mrSVge{toSS(K1?vetYm1Wir-YBSWxw`EAfq`0
z2AB>bLhcqWEklN=r^Hf@)HBR7=$x<qTI4AX-_EWR1lOf#A^8%R0E_7vGO6NG3Djeo
zq{_aKIQfv^t-3<)SsH|&N2Fn}>ox8_{COGyO~csF8qZFAe2`jk8^!fD>e_9&NvJhw
zvtam6<v7^+y6N6cc2dwXBsC2?FoY)p(3QooVFQAm=x>+m$IH2GG%QJOj^cl-(xMrr
zkhY~Bs7b*w_eGE#B|I}be&DY?TblEa032vP6X|G4`-6O08zqd$iF?d{tU=+LGiJGZ
z6Z4Jis~%S?tynVDopyXjBYwOo{&}n)9UV;6;2^gdq=*?`?5(1jow!MloY^#Vh{g!7
zz!)kx7c!o(&{_vMV48u$cm8TIFu%_czG1_@XOsI0<#M0AayfG;C!YXamoaEY9y$J5
zJMkvHhT(vMJZ01+G`3O8O?*~fOz1#6@!Fa<3|Faud>~9f$z|abW6pHfA2;reT8c)k
zx;vR$2HDTj<4@fUe42|0iR}orB&ArDO=M2osSY&otr>YZ-*0H~1^_ye+!fJR9ZpkY
zm9#OD$nO0KiaZ;DFy^ZX&%WCgd_~R^<~uuNe1ZHXXu<U3yZOpqi(WDDXxV#~`Nc~f
zch@g)3TK<-%OK+Yns}s<m=DW`6zB>}_@0!`jnDDF5#)l846;GAW(P*x9&LEiodvql
zsr-(^N#Iwk^P>_Rx_(SG=e?HbeGhu%GB9)!pL;84M3HVSJ)I>(wH-CbiL{xGIcOPW
z16g2DNVdIhBHf5q%it64Gmv7zM;O3W3-*7*oR`S3sQm*3!+*&3$p`Ls14Jw7=Ac{#
zjsL`7@$i5$)DAF#X3C$n<tyhQzoKn8ZMJr|3S-z7s+OAtQ|pwqB+;c`E$U<H=6o^c
zb?tL<BvL3%;CK%Xzg}zBca^1MQ#_|NQgZMXJ;q9F{$h<FXG+e71K(8n)2bHwr;@?R
z`G1rC>C7!rj-8j?M<o$gbK#4HRxG}_4D*nk*}-%TZuxFWWidvbV~v>{F`?B8%x8j@
z#lmvjk}*XZ_AC07#Vi+6(14{<9%uc42Fj;^&|leSku?U^wy8c;0m?}=6+M5){~!C#
z^T`o*#7vH+Ta%Tn<s)^SP=H{r{@Q?hz=KC{)@DJNLzvQ=qM-ivT05Gi81`HyP()UD
z@(4y75I-WB5YU;~IaT)q4?h##x)&yV$%9@qj5aK<X7B=P5Jv@)A1O}44}PR~`<nj7
zTA%i$Oq*a0$D3ZA^N6<vS+r??apo!^Nna3U^!?l8PDqG!!&YHaji(nX7rXke5dnyt
znQmPC1K?=y>0?aYXetpX6CWSwGHr6yE~nd+Cm1$y?st{Y>!c$zQ49E4Uk5LU|EF)`
zJ%MF}y0GnezpkH{D{f*tkZNo51=STbIMWY_Dh43K+%!_=q16*NWmvn=btor(nh>*%
zQti1?4Zm!~n?z3iq0M)PN!%Bc+$Lth9J?OKvD6*q=~2ln-)U%|vwAm2{S-M*qiaOH
zB!~p;Pl*IPK7ZJS@xO}Ef7@^Qfr0H}us-9pW<`3wi>~?ec1CI>d-p~)k}xzq^UR@p
z*R!4DZ4AleD1&q-901rB6oVwFR|YG#Z4Q5bRnoitt0tr!ss@R;f{v9Z#Oh(Bvihiq
zdAw26Qe>}I-4D4+);U=7<{iYicPv;a&J7n4BK3ixF;ioe@3U*Sx|d9Vt@2eo8TW?3
zKw#G9Q?xm%;~qMVXpNvrEHepEhH6*)IW$qD_)K(twF=Uw7P^)O;aIF)2b*v*dPn{K
zkDxu=1qYfO=cGg4vRXva2O;9$SSxB>RNZnC@h86(WS=r**Fm|Bq#El<m6B&2daUbZ
zpnj{Zu6elLSJg61sYrOq=9tJNN|@<x5$&Qz5Xj2fgy9Qq*7>3oH*}~B6~HFlNdg~f
zt#w*BV#!LJ)xSAMkAhL+E8l*el~}PM*4faonycU4{YqWHZC@I}9B=9^LZPkykO+GU
zaME<20wpCV{mmX7mUBR9)ND|8plJKOV7CuK3rVuVke<^D?ZLvTr(oBF>~Q)UKTId;
z*Tw^_lI|Dg?sA`j`WSrHcy~)S{>(+^^s-nQ_Nd!>+<n}}U2H_2#3n${Hd1ph5nt>o
z+l6dYc2;)f?7r~DRj;epu9h~6D)>|W)=Kg?ip{qOIJXh(^zp6O^GA(r|D0`DGAf>A
zr4DShqi8S>e4oi=ET-v`M2tvQ;Q97#y$8Q29x_Aq<L(PeZ)eZRQcTUvzj1neX>-@P
zb&lBzKNF{Py`%fJzEa4(PE`WyPd+ksRl;uT6K@zAInZjeuA_G2Bsiq9rEM*8*+tgA
zuOFVr2OP5a#)(=kC*VXa*Nv;W0Cr8%dj%IQrkT^=-W@O9<(0`WpfN7WnkhPGl}(2c
zE|%`fJ)^<MC!xUF$gQBjaAxi0?xPQ1a~u>iP);7HVJJMt2_GW!KXx@K@8~MfnUl}W
zkFUwUiEf}AY=|K2b}V!rPphf-oO26a>3$!#DwCgSf0AXuyko!gGZDpIemMgw&M<r9
zhY8F&CSxA~FzmzKOv1$BW6N*z1&|}_m*B|U%@wl?_uWh=0v-?`oafY&-R>1sgfk+D
zY*H_5Y0Bg{W?Q-qWoBOOD$+X8gyWldGP|rDxIjT<s#@Gwce54_6a9F`Syq*XRCK0n
z+iE@iWga%-Cr*Ymor?9`J%v)WW!D>}>6VNG*Xi;C!u*2uX;J2+T3SR?FZCo14wYGN
zpQie!IP*c8l_a^sx&to?rFkPo17_OeXN&~dtOW=1nzn3y4HRH2Jn+(c@JnSr|H%NO
zxZOp*_l9^AbIwBEYa`*SYA9SG$JvxM`IX?C(tZlL5+Sv3rIGhE){?YxR%05m169i<
z#n-DEP%<+j)m3ey>e8|Eci!_@1&Cq^#SIzH;Pu&GULa4}GG3+1$y7dVX$ao1a>509
zlsW=e=zH*cQW7qIFCnAEax)iYDXE7r<I6`%&=PhOnkKoGVy&>!oaD`1|EMepsPZkB
zTR01v4K%a_1!SzJBqdfv!f0{?-rB}LzRv90t#-%LA!deoU?<y+@wtCa2M3dAI;c_`
z;4tusWh+E@jA&^#d5#bu4MLK0TNhbyyy<TFQC4zn_PKu#tbDv{pgOO&El>BGa~Jx+
zaT6}#F^&I%AWj^5RKdo4;2hBrLd><gd6eg3DYVbAMSLDjMbZof^t&cPcCp(UB@kW6
z^H2|8R67vFcjLM8sc2x&q&b3$;nm;&-McCCl94xTLq|F3qgs-iBqLGKwdvmQZh|nj
zpbqu{n^BEd$_a;j1I>krovSuY|Kil|dmgbfXlZHiI=yE<yt*MpsWC+kk03=7xhd`y
z#Gxycu~^@@T0N@+WR1ta>ST{dW7#+Qu|LN&r>&-AffTqqD|KE}zn+N(5Xixyw56O=
z!B+j@&AU>6m%7;iOB$pDs<Knrh3uUFa&;3Bz!|Aw*K(&a4e6e@StKqTHYWgwvb8vH
zgves#a-l4)AB7ymw&t_Rx8E#!|5H{UP81O$|N05xCG2l8vrr@z2y0JL=p=JP2FWX_
zvX01NezNX!Vcm{>_)3ff$L8GYD1r;;(p(rW?C1`>4t4a)X?CHPHy0C}^_Ko(V2p{<
zl``_HEVQiLN&(|G3HK#7vfhD;kqb&(*m*LNGh*(YE_lbw3SdQJ>Jja4U)g7lzfH%!
zwx{QDz2Vlqt|B4mxYkD6U0n-T<yL$agNmcMTdZZH#hMJbA8gl_hAwy)y<fTVNw>!G
z$>byrOtNN%S$O}>MeogH9d3Z35J@E-?}6S#4p+AU#aAV9l6hvhlfinR=QCawr#qgJ
z;lG*_;4%(?221vY#5Jg2oViTBUeaf8v-?*tTV1e<)<=5|sKV^4KHK-wd6+EH-W?^~
z1=CJPH+~19{-<sNrxDgU*N1GOSn&b7Z&Ibb_)ATcUOdbfpDr|HqS|MdM^bf|Pwm}_
zrc11A9n-?i1Q6qh2XPt(XT<OcBn!Su1@J;#hIah(e{-Fx7RpNvRZ~VRH7owD+mZH$
zEgw}tE%cD<6j9!vNwdL70r4-ffS78<fo{lg?d?H349*ewyW#qm*w!Uhfb(nd@Vlmt
z2`%+I!xh@;NTe@8RaF(NjnbRjH}B-Q0`Ch!GATgkV`+GpVj};?<(Ws7<pui~R6_<V
z=W}fw@uAk9z4_Y%4aXcT^^#tLql8Ak;;q3>nA32@b@vBTcw&~V1OqT<e&QG5j;g_>
zjVsuN)Iiaa*xra!KK<f%osznoRm6tf!)Z~8lowxrX)T2B>xnzajpMJ=U8QAmE4y!V
z{%@%y;Wp;&P+VScrC#-qKlnf+G58d{WJd6WNEeoD)b){rtr+58Ipny6{c9}6eF~q1
z<%?uQ(e+WPxcl~>0-c`!v+iYNqCxJ7)*Jfuig($4B;24>DOQ<nT8haWKA<0VM>C#o
z{5Q$}X>!uubF97o*$ki2_9^?qzJr3+t0%wPgz_dkGS+VLaIw5uiqiIIfUI&EQn)gg
zuQ-PIn6Rw_->&eV%y-~)%+0wzT2Feo6i90e#Dp$25+0z~--4$h<A5L+dqIA6jQN>4
zpma|c<!<04hYswSv<zTY%6CSGykzqkOqLuy(Y_r`j#JV;-Q%@%0tQ8$1qzF>XF5dg
zlnE`*PAf4=4@nsA4R}O(3?~tI8WLr4I5tj|m0}WSl>Z$WkWuyqhF+fa+=^Oz?8k#H
zyCa4J#Yt%-AXnbLMkNNGIXv$WZm$Q8oa?70LMof>>AMV6IsV@@D%n9@TUgV_#MJj_
z`F01ZXPe2x?Y9!wkAGK~_oh1uQtL#OpYX>y^^`-2i7gE0x?zSx%kFB&on!InPb(-0
z8;|#=A;lk%8nM<5lsrM7M3sQbu4vVG(h9qYf~OiHQ%8SK10_isvHOu5&hPMvXM<&n
zN&6E}YK%4giXnj$SPVfI$}Bv}fgfMEqZ^H?y{IJ#b)e>gwO%f$Y(ibTxBHq(RGtkA
z%!^+=&q%apnHNn<)Qgr+ay#~%JF$k`k#6(sVaw02`DG+t;ytQ+XL!|6#gQ64CNUc1
z#$!R7!R2@;oyJS&Q#nk(IXWcq*e{V^($ww(3mH}oMk7NplVY{HV%f3xP(zvYnSs+A
zd5r6Kxk1a)IwlVnY*-#|@vlcDm75B#y^XZKyi&F8%!fX_e|anaIv|L(WufKrg9~4%
zr*%a%<-eNu(%C-3llaB41ylTB@R_&^7%jBPkfBesk0EP*>h<eXdNVazWCEe>(Ot62
z^3O^BZP%gNgwlc>VCbZ+GeDWrlxO%`+{*8oh;6nsgmXjM)&@&M2+&u5ki%n$6b;qE
z_?@F4ngyK%00eW!UZsshN=nV_`VQ-sdnl)@gAu<zEB-qA*Ua!~;SP@Io>JhwiKc5A
zrq`To9y{-qQ!l-lllY+7w9oT>6I%YgPmZ@LS*iC}7q8T4U*1cf@m}|J#;hR*$x4eU
zOo9v-Wmjx?3FBrpwwh9BdgiVAnFKP-fK+RS<)_G;M>p(P5mB6v^@mFU_gspPzK|!D
z%On^((OqAbywCfhwP1eaVrwa@bXdil-RQpETb+lj1lPv{vaQ$13wNTO{N*%NKG6UT
zq$Nq4HI$vi==q%BJ<KM?$ActxfwQsX*Z=)_D>Ua<k{0pu91~1n>Mx2c-6`sr(bu90
zIEn5pP%7@A0?EdrmTBO*)vlabIgdtYzkUW<eK?butbFC#kmdvu<MLnf^TV^rF5%bD
zvN_C=c^rNwOvH+8v_Pg{+tSkk)*zR<Ky9W71_2$PpmTocJIzFy!gg=f8v$FhOmb6G
zcq5tQR>o&{poMW3@SVN!0;Hi2n)&WXf4H{Sh;12)m%YZ)>$)xd^#7ykuj8W7x-VcH
zk(3(g#-U^okPbn>p*y6zyM`eZknU8vK|%rPF6k~sx*J8LOTzbXpYJc;`>)rJGiT1(
zd+oK>-dhl7f<Q1(RVcUvMd@K`G@2+3$^?w8U=Ui%o5#=ZQauEV9;<f|F!?88W6M>c
zmo|S%#Yoy1Am{y(MBV@E!d*RfLtU+33RJ*$>3J2yUFS@c%0o`6<XW!vdGz{PdE$jM
zrqQn+`fFbPt6SIF{KBh-bJqNDeMFjRz9M>lCL;R{UL8GuQC3{^gXGW9k6#QpjjF{3
zg@mwC8t?ZKZ$1^H&^Gqv%RUT#y4rsIryGoX7xe*qJi7iYwIDz+to6yby?vJPfjPX+
zA14BnE-Sz`jb+mv7~z-ev2>Whh|6s;h-7i~yL?;~&P`W-+J=ufw@Yd6ZSMe0Vza`Q
zySK|q?sYTf<hBF)zwquo^GRH<PdQ&023rBMG`ols7-9ECr8hE8?Duo}cz??bFhatD
zjb>7L9{Q=Xnr{|&!1~7pu`4r>xZY$4en8P2P-Vkp(ejy^rxf#3lHj-R<mGkSQgqv5
zbK4qW5}KZ|GbB<kxv3QIz!3zj7!I0`v85nCDV$SWz~q;|?X$J-V2fE1{=#>Yj9<uM
zjhu#G)KUGs-oMKTH8H`=3N?N|mA`*`k8y~Cv~GwMq$SA^FN=EmX3uo~aqWj^UcBYS
zFr1uc_Eg4-5Tj=4+7jomHs3L!UAV4Mc;mn$MezDH2e<Coji^IGu_M~`7x-_|@^(_m
z(Y^dR`v@8Hf4}&ce(Z5J`#=TrQ<U;I`i)0aZvJw)<AF22{>t4nTiO~676SP;{wgVr
zAGB}*n+naY&-Vx22}BN2?lx8K&{{n9yOac$ejGb0E0I(^a*_?y;R7RVvs_eN9|8k>
zzteCx_ri{NgpD!zYs`!fA9_i`jEE$Q?;G7+^tS4p4o34U?0rLo`n3~4+UIoBjLhdY
z2u~8<qkL5s{RUHQTKzT5zUpWsq~lJGY@>z)mE#Fxe8XA#b!5NO24bzOuwg0~m&|Un
z>37LD)34>kV9}DnCS+s|w8-dJlh=NCXE(&iH}L1SMT^COlL~*<wtPaV_%Z#Vjg*kT
zbVhOjuhpm&y~XRDq-JGlr_x_L-)uZ^HogxRFC#)QX7Wj66#GYqPnxJwGG6vK^|TK@
zqJEBMjtgk$Q#OQzN&RooO^PEfWw=j1@ZHNZ>@}TI2bqfiKffBo<LiwXoi|yaNsuU;
zzdFCa!2;7XPZi~U@qij1SdB*w_7s5r1%bQ6FfkJ+C;X+QCHAGF#N3C<`HuIqk`&!V
zoETsDf81fIA_kYVo)Y*IK$}>BhWEQRbbCYNhxeUli4UO~hZh6lvD1GvLqSW2&Wl%{
zhF-B|vts`I&tWTLp8M?U?dib2gAnNXVZucf@B8sBYbtL~j}faRVGZ=khT~FQ%_pmO
zoe2#AJ_m2@vK1=BX>K<l6=*VT)YkuXqM2Dz^Yr9(m$3*T8z}<SmQo>7tW5T_Mm^+7
zR7CZD)3P*to;9YSNG1<VV=scs5j|$|@R*9#e70uE)iABD1A3Li`OyR8yC?X7@606Q
z#f^9^o1iiY5P1;~P+qDHQg;6;qw0|+#GZ_PHS?X1QQ;{&fB7`h7lc~VFd7V$-CuT2
z{jtwI4I3=))!m5C`EhCQ??-Q!nPvcruEz=ta{eE$4O*T}?s@Gm^gxgRrbk&=!Z<k?
z&-3w!3SgwnYO4GG!FU`1cz}(_a4snmU#qt^vVZNe#8PmR{%@uPyh#=$GO$@L;>oPC
z6E7@jfD|W?<hg@jQynflD=Am}aG4T@*^OYUIB(;>KviA~o@t^Ki~^|+Hy)SYiVWLN
zIT}#Nqcu5iW*TesAmkeuc1;}@e8h%q@Bt=Z;R{X#2IN1Pp#XMm)YPpMyHaJ4bfH+L
zeB4Ac!QCCxt;7ojdiqT?t+n#B<>X`is74pLC?l~_$g4)TfJ3lb`XP$Q%^_F;iT=u8
zhSnRc$pHWM8I9lFzqxB9?M}KhJ9%5l^zXTsiyJ5HyHCcFl`EzE`5E=G5+p*!8N<U-
z66i0{jRUbDj|cI?A%x$VS20l@JfMGq@^g1#Wv=xA8Mjowu#s*j_)3%g`Sa&3`}IqX
zo-<4@$M+XJ8^X4>^fa{%gF<?7Ohm?A1hj<t4w^eVKM3OB;6%;DGHzVH&=Hrnd^acH
zbq&#QeA_mC*SSIp{_77-Bn*;^?Boqfl%Kl!+5F%icCuL>cBhU2Za;;wS~&t*B}>le
zFTI;Tb9ywagmysgF#Nc)QI&lVySudrHkW4+0`VEDnkNw=YNUF4dCS@9lkKEwA(WU%
z?9W7~N)&MZ25H1X#N6+nSdwn`n#w&%Bl9V4kldqjs0%e_TM=eHNr<I7p{f`GhjyfU
zVIuk!0ZL5At1&^pSh{g@{TjKM__!_gC_Q`kpPoiYM0Bs!ZzaebXy5Fm`*%dQ@%3)z
zU*x-g2mfB)jjdb>_kO+2cz5E=nWlKy@b7#jbWd+8sn^mpo70C5=6YB{le^+)gdQCd
z64F};HAnrr{JbN?ZtB{r&G_&f3W2XLu=KelJVbG7ftJs=XN~CT=(MtsYbURJ=d<;;
zCC7O#x$H!XK`rud4GO5``et0`sY|%gLK0J%sP{uL!w6gVLUwsuYsfK2uT$+qOx}Ol
z!IEwtdyH!stTOO;kxX44x0nKB68I^3DTjVJ4zz0?$C0v%M>XKUv9LU9G{i=@3!21v
z+!~rGrjgWBD@~Bbx3W{_XdKP#1fv~>4JI=zG@~1|lUi-r!&qP)rnu-Iarx}-S&J%~
zw<(Dz9RT16-?V+bxZotmJrua>Tj?;qiF)_=-`>01=QsDqad>rNebe&p;=twY+m@3J
zJdFB+o^{KFZR)SrLSW!TR%lq<+j<3E9dZcj;$ki0opbjMyO97n+2zu>5H~aAFTNjg
z!KXficmvfK1M&Fg_J|c;Y)Z0H97r?6#^xcBS<)Di`8l)dqOD&68#kd|mcr}{bqU9~
zL0CC)q#*I-QM?&xDc*bO)%A@jTX_|akU@B6vEmk1(O!?$Dm!*(9}n5b5u(r>0&I0d
zukTofH}CG&`L-v?1>et)tUH3iBiG=bN;XkMwsyRneh-)Tq3TKPyIKxmwhuNB@zH=w
zeI|*c@+&_UE*8)G;}a~q_{puT&V1p(i6W79dE|~U5Q5U~dmZ}jtm2O3Zus5Rb1yHi
zj?q!PyX}>mjLZIimvkF{|Guf{uSU!3RR}}`{5wI$W@7WAl6_s|cL)vY{a{M=oz(e(
zf$Ytl6L?XFhLJ1n_FeAT)~4xO)Zi|~b0z&eyDAC@9gTbm``u_|T15i{8Y_xFee!9f
zUihMhGFYwd85Op>G48P@)d3I(ayX~UYKwyV67SfNZ=yf)0UXPz<-y-CDQYUE)US#h
zyQy2>&+WX>5Wst8cGy%-WXZ{KcmnN|EFCorTd$|eT{v}lyHK@}-unt<q-&N=uj~gX
zPA?vm3wIi=0PjXSE~yS9ZX(2|RaB((6p}b>^s8)2A4#K7U||@$QB|da7~!Wsu7kw(
zKf%fo`FMAE#Bf*fZ|~oW-9dIXBTDc+-+UDxLqi?!+@Vsy2aiF=At;{E_z#&Z_teP6
z@cv0cP*mbtR6XxCNAFIC^gilhS6A11Q%6Y8MV|T{ig@wbny(lu@l+_pU>CQOm&`uO
za=cKg+ojucwQ0{opM%j)lr18B!t*eX4tkp7jJpXpQ=><#@tNXRguP;L`G%WGFLPK(
zx(HV0jc_ljsJlR4VZEyOxmH9)S`ZM@3tfe;@0kR6=P%+OTtnXom)zlktLpkyJQJZR
ze|Xg#V0BrYk-fD}E@F;Qtc!U=1#5CfjFiu6P`_4SO-_oXiZsXKh;yse|3m6bs$TMH
ziOp4PWp-NOK4Ln?&!g7JQc%ku4v$X4FLDA0>H9BCaiL7~#*VwK!IZt=n|5_1@>(i>
zzFIzm*TRb{ah&PVZV92}=zl(1l0|9ML3jRom(PoWA7fCUuJFgXwGx)r6p*Te+h0Qh
zzopeO^~1X3!U_gnM*CnM<fJLqc`XgNV<6L?nH@~JKm77C;$<JY-@9Vk?mRSb{~ot>
zAy0)O%{^>Cmh<aq4_o>FT~C#$R6vYGen&(#A2qpBv%j)AVm94eJqZpFJ)xhu|1Ai?
zw70l0v`IlsCcBhtAyR#2jb+}E28JY}>&!XL`|xim3*$1{ycCk}2=-4Df9iV3Iechd
z+g^M6QYImwy&CTzorI;J=T@-Srf5F?Wy<=7rdzcRI*f^%`4QYDp}J0ldqtlxFs9>W
z>8N`j`k$vTS}S?WpQ?ciPT@``B9Z!RMwsuTH-^Q9CJe&XQ!;LMBq)e3&y=?WTkw0G
zoxU)bY5#srUGt2er2j`kBvn%Eb5-isOe8Pk+B17+yVl=xr52En^FZK-KZpLX+}}VE
zjGA5g7j(r(xTNF~^69<Hn!+89o?jj4?te9N`cXkY8aB>!OOxj40+OcGVg)l!&fr`v
zY*DHGObhCjP=s2^H~YVh`ynz<H_6GGZFL?83h9qNcB9sV1dhHO7~KhmIvn)bCIrno
zg8vIc%hm~@0YXy6LlSpFFMPiy+uyfYvdGw#750us|AUfGq|Y?Gb;<S5s`_S>_<#1#
zf1-O9>mBXl7AKyr7dWv#YAT}b&4_Z?PL_Wb2(7$7@D%@VZgXQ7?PQ_~Ui@T)E1_Ig
z&EF0T1;oG7WZrnQv$3%a4Wy|yy@mC=C7241b_An6n82bAZV#I9)RvdRhZX|xKE}Pc
z*F`jw=d~iX-1scGr)xHpNDC5=kqDVeEyM2Yc-utXX&7%oEk;Y&1ACY|Fn4h~k*uvt
zO|#)0dhikKe&j{HkUP>q3?1&>zBjoU{Su?#9V1AxcBz9H;mRJ3%_MbxbP~LFEj#z4
zT=>D8FSmgf_aAJTk~xZ6tUr>vbw6~R+ljlp+Lw@K{`TmXCDrZyA7d0G4qVxN4p;k8
zDAdnp>W_vRx9<BK{&k;j$|{2=z*!>c<Ppl3f$lIrFV3~p&HN{58|l-Vs`@z@FJul0
z>8U|?s$%lFy*#$li{~@D4o7d)VqW~@74d0|JRd{JdWvg|frABojLzX#b#*~1Y&Nq_
z{sygljxd<i8G~6?Pd-9<vR|p6RSkR;wtCa-PbNMvroZfT+WV6qf~FjD#sy-uDdrtb
zO^=Q_)7}=TGLBuQ_mZmi&}<Oy4@iJmmBNt1C<mLe8j(QdAf7t|zuBahp2sq`j4B_#
z_P$NF!Z%!lEC#RC^`j>6taz<1uj2h}g%RLy)>CB{-p;L8-@i7sz_2S*wWpJU{WAgS
zDtr=TITci7uX^-bK^N%6x>5(P5(4@S%h2a{n1|;#@J7vW%#?n}!M@pgdCdslHtLR^
zUpe3ufUgi6o*&Gx6(T<ouZR&0k!%lQaak22X2=To)kHj#g(8r(v7O7!acExfC>JI7
zapR>6$v)pX0;-MGS(eTqi%pphalpVAxoCCl&WPWp7NgS`e3Cn#yK=$6n*$}9S>Fem
zdd1eK4@Tj4L<Yo`_O8OmhevPTo#ln}B0FP?NGoXX<9|h<$wLtS_xhxiBk#{O8^?C+
zXs@lhlUIU_t|I?KTt@%Ec~xa)B@5`Z;nk)HL=068c&VA0ierBx)z@S-W2>(b>~Amy
z`?IKN++BVz{?g6dxR!;jVX2YMm7Z^q>Ow8^-WV|A%5i8pbcb&82Ak{(lfAqkftztE
zab?;Gb3q%w_YV=WlNO8f{o0%)`ueZiHZq4`D1FiK@1=<pE2%ZU0z|LXP8N1#St*`=
zk{`OvA$WgT`9G=}AOk>h`Pq}fs$N13drf=x<9}g-8)~BwsQH$?P#U^R%EYjB1UjTz
z5bDG{Qg5h5ihMP(B62n?CEl(IU3!r~7a_%}e#Xo)sv67Mt3oz*!!B+;20bZ#Y-2|o
zP*~Z@7g^Z+m*&NF4bF@LsUL&x!8YUHGkz^@f1b9$iP{Ne!eTdKFG#%Pm#>s1XJJw)
z$!h?o<)y$GxtEE3nT<SFB7rfr#}P)m*N?+~zXbuJ0^meO3T+FM`Yeb;B37r8IWE9k
zVO*s1UGvUY_n~X4GW>PYemYkn<?jZcMYo{39nSs16Af@nzf6=%;DnekxEL={3s|Fq
z_dim5Hjjk;m!f8j7}%6UrG^fr`qi&EdY?Cpwhh|AnEXT;r9?U%1s3Hf983}Tl>q#d
z_TDn~T4V=60>@`!Vp^*2;})s>x8uEAb;NB3L)f8qXNbDjb3zO_*7AkKX?nfxGPuY*
z!OUpGh4h+CSrQS|kL=gkPCbSf^ciu%XD27iO<a`_gBK%26si&lFFq71O(S8V=M21V
zezasIFTJx_&dk$Kl2(erL4U0<>A!Hdg{YhHj&i0JLEwRqz|#7-Jr5HF8aCy~LHg&B
zbNL;;J9{<<-m2~!C%$5D)SbY!Rp<nvpn{N~rmQm5XE%($b@spKRiN=|5iztX60|-)
zn>v{Z(rHdPl}BcMWu;CKq*@h&Lmgl_i0l6j+c$y-#uPe<d+~u-y(F+eW#%#Jffv;<
zxb%+X41>f!XZ}kI18E)LfZz+Er9y#u)*68vT^-(M-*8SO>xigaYacgytq{ch)z#6_
z00F@!nM5~Wf1ta+)W#XECmT@_Wchh8%rCrr>9V$wb9Sz=w=`&w^?`qevI(ZueG+5m
zY+0%S2^%fPS-G@PncIk1#+#$=ku&%s)KCa7IN<NNs?&NB7}D*?`1i3m5zftp#Hu|@
z*G68vh3Qb*KmD*q2nuvpk~TR0@}F<cm$^J&PdP09u9*)Em*fB;UB#PJtL6mlsV;gv
zbfa7@)sWN6Bq;G%^&9SQS-z8^x70=h|9E+vv7LqK5%quf0sbE0Gxhz@X|mt_sn^dG
z3sX~5#B?K7G5MZgC^#d^w-|_nAn>yHI71=wh2}M;>}<>Y(O>wdg#rgL;1jcUA3FjL
zX#4dtEU1k!SdmGDfu3!UrR^iE&zaaaFLX?}$K!b(z+v<`W+j8N;-z#7!K?bumO0UW
znY<6Q7e@St`PwO5f2?mkImHOLQf>!@R>S%DBMXDo;ak)yCy~3YW;IDn9UTM8-)Z(o
zcJa2u=@7!vi8{XH`>PvgA_#&B#|F7_(}Lq~Vf7NOzms*2Nez`=_ME}1aBHlhCLIQ}
zmno!p-FPbjo{aDbu#_px+bCM5UE%1btUMT8MGEU)66{?P{3gYy3P!2M5~Aa$2Siz2
zzCogSzRKjj@sfSC;JzvBwX(9f37(N6K<bvc`I;=yOP90Sk#9)@#91p2<EBvx|3w7Q
zi+GvOZl8CsI_bVKs@!-VT0J_w+D8_e_Om#i%7A!u^gjGIpKogel^`jpGio$W7PK)9
za;gw)Lfm*r?OJ^V!uP?)#>(n?1_HYB{HM-ZfKAzklSO?BOt8&l7}eaU+)*{~^l_sU
zrOb;8J!rkk#{>ARA4cm2x|y+^TKYAe^>iF0`q2E^G8oKJ@io7(svuM>6jv`ik(-KA
zMK`XKmELKjWCS3*8i)jIY?`E>(2oz5sNa89esj{DOHuXBRe-*xA}G(nP2-Q`nu<CC
zu&?y|?wkf()?t(l)F?MyR&~d9bd(h&F~#n)g+pX7Zh=t$%&TbLohQMo^;9B*%Beg7
z-a{ZbZo@ElB5_AjJJ_tApukr;Tb#n<w4ow1gc$zxulu8@JqhFz+H8jO&K)D`D!o|O
z6W3;5;f@h7oDF#ofuAX3p(sYN%1f;W)@_r$@weG`V&gvH=7T4AVH(}b!w0^uNGRh*
z<6G5$9gf07gGcfv*pH)XUS(F(m)3nGvo01C8$PFjV~L7>Yc~h?yL}){2S)Ol0qvm#
zmR-`SLi{U$p6Cd$!F&vZ$T;nmoiDDARQ$mvTHbNN5KfMc5Xs`T{Kt(lHEdr=87cY!
z>_!Zsd_u1Kiiy~6e+iKy0gyl-D~S3pE9Mn!Lk--SH(ya^yobIv`Oa_X=ukgI47rHO
zajB3S>>OUT(j>8SP<n0<e~>EgKKoL(u)Y<)MeX^4xJFRsV}f~=tf_%UB0!`edk`;<
zkUdo|e6@GYzx?d5C8MlC76jjj#QV~VzSOxWXGirq7VsV3P-}RCr5;l%SJm-BFl4Gn
zpOwUWFr;PzuaKZQua=@2Bs)i6CG}s-mY`6HdW{9e^2Hn#p9_(x!Br;&@B@Sg#|tm^
zffRfW#y|bowA(@ji6E*Mo$ziIfntnh=Sc%SK@PZzzA8J|-6;X-GExCi#!h9((RIs8
zSqhAFa<m_HpOL|hPlWXw8g-(r=HwgwChMhiTT#f#8gmNB_XeLs(EyLqN$$$r*$A4t
zKd;K3jK;l=59Kg~5{){BWpjKOTzBk1vqirAeCtM%wVA0`fNOkua>>zaoiS)`ibw!s
z{&q?W>Amrw<X*K;9#RFo<&WBm#`d9Mi?<k3_gOkeEa_@1D!>xBJ}`V*E{2o}MM$I1
zVI{%i2~9ZV5CY23LUks;T^SFK`#IVF2k~$`{)2dW#c{ngX6%?vTVPAHZN|q*DI-D7
z^t`C?8N3z>lcV3C7%*D!2(+_M^4?uu+Etj5l112NKJPwjDaM&;sGLRPU<{ok{-~?P
z#;BJNw&3J%EPCeh?m%3=(8$Dq-Wt5{O@lzLfJ_|sugnk%G81a?dZ%$z6nR{4*+<+}
zCDOGYh@+HD3=)Ebh_FO3b1HJ`k$2<(kFSJr1t*64VCLl5tN<Y9<wu@BLLAvcQNe^J
zv9gKDx^UP83A9u+=OaZx*93`k%C!cC`%;2eMNH8nELUI1qtE>aHc9&-kBoKhZnRn1
z=M`x^5Nq4rtb>jwWqIY1RkZJ{`i?to>Whd4$L6O~LovNY#t(f9h{N{*U8J4h{!d5b
znO#I@QP`e`%a0f`VRd~2YVbHSmfL>T`54r(3)vj`K;UM)<D8iVQUe|gE{I9I2`mGR
zokxj~%kpZ2saNvY92T!gS&vmoEzHI=%E2sj-LZt1`Ea+aH^N}7Zz<g8BgCw3;OFNw
z;RVp%;F7$i?7UdZ@Y1^;#|kH^CItE)?8uLXSZ4A4>ewC8_bRo6eoXdY>0}$jfmfy{
z$zrP=aJd2ajz;@MlTvg9xfr7fX8vL?UpUs60K;;SZR8s7YY#KH%M$j4^R=~H0a$CV
z;<{<j0rl`Zo$okXw9Z4ui=F0huuv#Z!c)K7|Mhy8??s9e^@7c<Z*{$=CpQ29J&s49
zwsnV)UFoVMh3o75#+hsvNG%A-r$3|ysg_sbVsHlvMJtzBeIXwHhN`H_TQez4KB=)B
zuBci8XACa0q<e$Uo*0p>32lGzKRlax^npZ34tDf0@yLA&Us=n?43sZ!_mMuIg;>{O
z7{lmc2}z(djn|)G6AB@s%c7{gf<zk`S`a=POrsl_WjGIQ@*vTu*3Tl6cmhDaP<6To
z?tc^NhV4eyL4Ek%%<o5}2;eQL1Z0c}Ew7QB@>MzoC|Wx*TLWasYic>=s5hyyNxa&~
z9F>`vr!bwu#QUeJ_#-qZYeh%oX?6xV?>$23^+yC4A8fB0JUPw!uw|{QlL+1qn`t9m
zamacH5(Y@A7kCG{W3Q@%9;wNe&8I#?qu)?3l}a>2v%N(M)tVV{sKnQCfAc%wc&H9|
zy%Kcxsm;}@8kCUu%NH77mVzPR01fJbK8l8cP&TQ`j20swuU&n{!uROa6esoHg@|fo
zuZZd8nNzIbhE&Zin`!FL5R%;TrO}Qlp}>}uVntFRzvx86G{V3Iqi~}W@A7{;vC-H!
zKC+xqNo}3~1IYNZf-jj|nGYqt8o_^LhWWFk^f8=#ocB&>+E-T%tnnFl#*-_O|4vQ@
z;{Ujc193|8s!f4_7(vxj@LLB-<wta$dPlr^c%LuPKtkjWPvBD1+2pX4Sy*=k9Qq$-
znAuBlVf<eA1(^zWBM%BV7B#A1`$GpcX!2kecbbh8GVk}8$VLY#$vQJt&760Gkm7R!
z^O|Q3tuiuBkNKNI<@#R1I{Qnp_6PL#+1QL8{lDu31;ayb4v<IN#Tdzz)j6SSFVOY}
zf+RGXv?YiFM<+rWb}-1u2*sp_Z>m96bi`U+sGvIM^wBo7lQCoh-BH_-Zf1X#ZD*&C
z)=x~iBjin+Ko-io!+)S7nNw<PI*TI1fRd^v9|jwM^Qh<{>}T<&KbVu25<booz|Q`4
zzdmGvrPHE(p!4Du>oz&2wpx(gDE)tzW3Ky?$$BCQsSwp0X9TEi`j-S@Ws-@626aBC
z3!T01je|iFn|l+mW@hMZQ#Kk3#ygipxG^=h<AzPorat>J;_==`54X6K{oo5jSa-3|
zb9og589ovjmD&4Z%In4d>W-;%!!SZil4*)SQ>FUlLUCE$)*0`7hwqbu+9l6X5)M|2
zh;m81F+b$oGaD?@V?EOtn+@UKU56XcS4D;-F%!K2LD%=#0`EE<Q?HdXapUC#L6V-9
zH4oXzN6H62e9xL=B`wk=7151{8+ciqE1l>ck0%(k5sQrQ+)Oahk52R!@AZAy{tbv}
z8n&#*VHRWnaR3_`DXc#ij(eU?Tb`ZvzXQ?j9%v~>;LBr)=5)|oo0`UR1zaQ4KcSDH
z_%2~Dqrtuqla2Kqq^2?Mlr8sVBC(BF9@FJ8YA1zRQq{0)c)y_C2Andh;<e$yCD8)-
z2JV$C4n8@~l-6lHmZnGZPlDMJ1EQiC<iM=-r)X46@XB(B4RzIe+3^pWsELRG+Y#~H
z$SzT%5U&;CR&qJ4Bq1w)9iQ>eem^fa^mC>_gymCyB;$;l$GV4Gwuc#%Df9#J!`JC>
zfEuqCx;+OYN#WDhk}1_6wfS`#W>aUvyT5OjWKn$q6hJ3qZ`&C5Z+>4NFS7{QrrBV^
zKu{m(O;ea6P%|00Y)mRVNUdYOu|2D%6E%>snZ-`;#qMbAFnPajnoS1X1`0&RA8!nY
zuf#(=Mzw3!B_Av%hYZ>cvl;uTX!~{COQcvWE!TzSTF21=nu<%H$E*<UAAd+a&f_y9
zd>R9a!i?hm34K5l;!9wqt0&lf!^p)7aqT{2A`0{$3g-znF)Xd#gJ5AFQt$GM1UDC6
z!YIr&!HsM%HE?h`(-(DWS<BFN2aWdWFyX4Io%3|NShw<xcbVMxcf#5>5>KUWw<z&R
zE`A`Mfx6*{!r3{8CGr{aBO&5ai-r<}E;=T1`)7wrPra(YH&AD+tAYv|k2m&rdu64d
zwb?{R_8F;l6sTZXw^q*JZj>IF{p*dZAUT5a#4?06kD|G8KU7B7p;hWPx7>Dqds13b
zVuV8J*!E5dM(EeGtaDJkJ3_!YgGx+k$7|EXJ*<85@NkW_n(<3W@8ix8$+9n9QHcz5
z;#mB+P;$Y;rD0~Y(YFAlYI-Xx#pc%I5){L%xFlB9+$d?6FFppzvHpL{UHL{(1K?^2
z)k@b&1ymE|>`_PHM1X7QaG4!7bX1j^Qdiv+`PzJ@>6^TA?Xu37Wk2>{0Wv~kOq>y-
z|04pjcT;t2UwW|kAx~<}h;X8m8qvUa235Ir1o+^-pK7IUlbwT1*<&9;nP{zm6o#9b
zQXSO{P4{RxEMU=huQWYo8c}}Rl+*-g{zFWzJWz66sZnw~f9!Y9A>X3H<!c!Z2G7%9
zXn5{c2tROgAWaGB?d05?h41_-{C|~jYr(mRdL*B*J4;yKLjor}0foxThb@ow3KX&c
z4E|K?@RYG59CM9zF7#>kkbsRY!^;NvIXPSel%o(U-_95RP&5dP|Cb@@8JZSOkIFsU
zS^K#?U>QW}<qiegae}=3bE!1ea-`FiP@}GGyR?aqiK~-SlV3Uj2Dn|K_Wq1D*{7>Z
zjpN?)WNM3HM;e!MHmS0A4mzq$)_m}$Uw>Dx)e&&-x|<-M_M&kEh~W0Hw(DeM!aFKA
zxWjW$`mHA)r;lY<S%ee^V{qbtYpg@mqbd=#@_OzJ>20LgbMBXF+wfm(<-0Z&X*dzj
zgV0H3?&G1?p2@x1G8&v~%#8N%f{l#e8Wgk9*lg<MQBu<xNxmthO5HIXh74|f%|2i!
z(Rg7ASWe^)c71Pn$L4IH!DR&#iJg*=bSEm<NP|Ca3(rwb(?y+{cQSenMx{>;BQI`u
zryMWU;j3@)Z~Cbz`Fir^T(;oWQU`YC%ej(1g9ozUj49X@zWWJ@@26OlxWphHtQ203
zI-ace8$_M>Lop7X+EzWV4DUpa*S|AlDDLeILIga2lSf74oo9dK0f2*uDc}}Dl=_e`
zKtDG-`*68L%rbEr4B_!_%P)_c6IsFs^v>6W=G+0Bapr{IC#6R2S~gQtFY#_k@C{XU
zNUuG{MkF~8YiIL1^U7<xrh#`f!A~lER)+XTru7bJ<R5WYQaJgI!)0&0bV^e6^=N!|
zyCM+)AEDLgJeCKUpx^J5HTD)N%N<KcpulGdm_V04bat!BiyaAd3x;!jR-=u&#)s#f
z975kh#o3%cl{=RIu`w@y!86pLQaE3hTyX0;>2-X;udG|uMEUnu)mU0>RU@tgJ;qzW
zM?3zbAFDc{K4M>H1Tf*uXiml_W&PxA&C!jN6zFMwt%>f!iK`_<xhtppS7(v0JXE3O
zo3}q|xih9aqhaVH(k=LgSx+h~=(9O_GgJB$$HC$5A3c&7YWbC|aC9}leFWlPXl6u`
zdcq6%|Kty&F0(bRRBjRpEas$HOgI+3BZX6F3*R$qq5hNrR$OQ>NRF!|`*b47%49+S
zK&%@069#5D`TOl1_P1GR03ayuvLtk{@t!My?j!k$<mf&?m|=H_Av+@;YI)iQu9S#w
zN`(^+Ddd#58baT>T(ma}G4j3^<R;5X|B1jvV~4f$-T=^;Q~sqVMIM*(zBFe8SboN|
zEd67x!Oi=2S<;;_-ktm39S;6&zlDBH;mQvvQCY`+zw|ImTmBfZC=iSbR!W8JI#qII
zV4t+_6vPkx1%y&L{twaVRG}!O4^1EBe@|ePGp0qFDOEGk)$XHNoyI2Lh+{#bEHc2m
zi&KT-eWHX$+4npxNq&i`^49UtMT>-ueijU}5(^+puX(5eSu*)YIG|=WG*63a`l3+}
zoH9urzh#9+o(s*K{NQC>QBlW&zQXQw7wDMEwkV1xRF^HF&|cBk{fCTuxmmPh(30|F
z@nXQd70n~YYfdBIOd~vQH0o0tnIrV^D1wU#?rE-R;B6x}@0PbM2(*}ci6CyLwbJXY
z;8U}S5xMdTg16N7q_$vz2I+g<%pk%*<8p>eXRj_R1SpN~NdnzZSuSSBv}3$j)9XG*
zI(tu0vO*fmMc6(>Jj+|7TAiSzLKY@9iRj+(M+4-^!gRS+gsA00@(u&}7{)x7Q@&r`
z9D-gM&CZe%squ9(7=lL2KG4xD(xxCaCYcAxEN*4F<UTY2qL_-NwESn;)^CalULd^|
z@9nOlPt%(MwkKgP@Iz_+zwM~x@0sBIV2dOHJFA8Vtx@wJR$sGB?=MGgw*CC1wBp_M
z=q+1{{8Wk4@b~?#Tev&~m6w*AjTE+t5qKzc#4;z#zxee|T>qc%r0rK_JEwP<&HX0^
zkBWUpLeR)qWF?Tl?c)S=eQ6R21%sbhq6)p1U)S30@`U-d=@S<i(NMJfbRQ=QJ)#dw
z6lZW*RSl#gkXx!a@M)!^l8JR~ZD=h{x_+ioKVGHl3mbRi`199GMUZSSXD4CfWMG5s
zUshRS9Ql+;A=*-C10zPne6--!HqgAS5V5vp<>TcNhbj0zBPVT-bXqBZc>^RZEa;^d
zO_t+yM6WjpTWh@CfZ)wL0JU(2@?jAPDrs?u1UB_A2a$gM{dy{HuALW{YO*eB&T?qU
ztde2xyV`fv`K(ZX-G~*af+oWjMC6*r)u*>gbO&*>!GJfk<=mpYm!`bfq2zy=#Z>1)
zjd7p@AsQAYU6r!aQwjJ?;qt+`?@U@;$I#mGH{bz?=z2FO)1Q7@uIGn_h0;F5CyG!;
z;4$g`{DL{rMi{a1uA1JSPF4vY8|KM;DoB>f<~l;CHF7{1fFr&>oO_qv^o&JqM(Jcs
z;3#;CJMXp0ByymRDo*tKW1~?-?ly=29@{uO(UI8z+?}>8n}`sFF`m2pm?>|dU$=`>
zAzEI+*DsM!i8<db!#`dVm04M6`;8CwOU%Svmins7SrV%nmjrIk@^<^+Pe|5d8UU3=
zYzqID&!)taz>_$Onuau<|C1)BZr}E8(Uy&>@vr9pl$GJRgtGrs>xX`;Ay(dR=5AX(
z-amYBvWBI@)no~rD2XZsn?{IhoowNE@qxy4$sI+rvMB{L@n^1FnO5Y=Q<4_1PfT>v
zbQ(~I|1<Pxs3bbKtf^JEv$1htZ`B)qB((6!f<*fit787K&w6Ps3yVTOrQgyktYf4c
zdFzaZPdU%;Q^sWm7*2kTWV0|rpVr8U7cQcy|LMn7Kfl{wdClM%kM7hx2NTVhaK-4}
z2ktsa4S^--%FRC!!9D7DTJ&d)I)q}Dbvj8{i(wAKX&r33{KlBHQammsk2NIlg$l2y
z_P^i$T^Vr<Lv3iFSzJ-^)Pnp`Sbv%1vUoaf@3}{}cq5{pZQf1rMXW#cn$A13STq}A
zhkxn|R0voB+B_Z^N1=&9Aa>nny$cj|)Jz2z7WHq4AJ$o0sB&X#LTFi`ael)=_WXRb
z!qagyIe+O&uP!#IbF$(t0(RETdrrB=d#84Ue|yng`|$SnHwKXEzU1;6sIyEN2klOY
z*cMH$EJ^RWk#5~h3Xi?QTDI7Lx4;aTNmfExm(TBQRQN`hB)SHK1&Lm%J3zIa69NIV
zo+|$_wewmv0Vtw5$2p^g-b+0SE7zAMQ1jMpRaTXUsA6`8o>i(r@tI-V%oDgtA<)CD
zKt+q@ByatbC;oNxB=E#YVQXsq!b>-ryoFPh6KQs~F)U`8aTZsyxn{>?yO3Np%yxb_
z=QD?Hc_vuTFZy2M62Pl4{*r|;0q+3@QK138FCfPVhDG?iE&mg7aJva^4^6s`-Y0Mc
z0B2DVPF>ojATg+I6AqpXlTfrWUTO`tzsNrze^LNn)|7oI9)U#&15{BXM{kQ!xbh}x
z!D?P)fAP)VcKICkxY~aozCH#F_Nw25@j|SJWM6+Y4v+NNjTL5Nep%*cLNe2h>4*n)
zJjk6UK$$)vc%~bkNZpTNhiC$+FPjs1SRh?%Z|xqo&1h(u^-G#$njisjqFbg>gXmjp
zshypO@Nsu^lICbt$HjaJPfxyA57B`51d?dty*+E8oC%ZNBM3}%NL};GBu;+1QrP%2
z)JEn{l)=Dc=Cjfp5sCL)g5^;n=DnK@vs=vm5=qs=@uAXdnp$t$NTbqw5#r(1Bw`~-
z_i|6vMYryx99?_bGQ~us(i3iu4ncp#IS)W78px`m)-n)?Nn>MtsC@$2(@QhPd1ZD~
z|9`a00KR+-Ty@S$V#S+uVG9{>!~_*onN5d(cei<k#gBSX(9{<FOyLN=fPT$R*U)yD
zyOG5eaM0a2Fl8?TijMIH7jxs((R`95qqK?A_&185dbivXN*4tnlA=<ZL^oxd<@-@3
zlq#dn)0%G<{;cpCXY>K`hR_B2_zgbL^97bB#$uLHfFP4{4F(k?pa6G_JxO_sL)o_C
z>M*BtA6n*wl<+actJXuA*!oQC%vIEFDnV^DtlrCzg(zq%y3+_LaW#;@k4a9J%ArwY
zVxWHf8dWkc%%fmzOKHaXp1)xPz*3Xo4rIKr(gFN((zveQsLOF5%yK<wBKMTRV%oO}
zNR~kj!F{g;2IaK+=c>H)nDCvVN&}l~yvXmwVddLJ#4WooczWG!_8EI-r3G}Q*o~fU
z>p8L)N>*%bG}pA}RokEBrjdgZV?{;|VN^%Ofr1JJu9}(Sz9E+pj<-tBYHTg)&6|4_
zK()uX0fdoyqQDqJ=w<qtVIC3<52`aN$ak;;2@LSmiCrz%0Yo_F|4(K;atp};fL<yV
z-1y*n*w=esqLG!8YS`b!I!$<ma;J9NJ8g|GO~BLeXvxfHS#t5E)iB>z&&Z9T#tvX%
zur2#x2-3N)*bna@(h8anQn3f!<ZyY(fT(dyVq!V$8|q?Np4bV`qa!=_=+9#jkq*1x
z`&btk=;oh|&+Qlek}`KTJH#?EFewp0uFJQ|5I4rX59|-6L9l0&{Qud?iua0VK$xfL
z`HvDx#K317N?tzBx$UyoD+Ofv2k%h9*U+kVg>Q~tHd3^H*Po--Y+|G3vY^GphE{>k
zBM006DsLuPH5C4W3`aCw2{XMYo71&#aUYJ9Y$?5Bjki#!b8i7Av;*5-=rEh)6MZa2
zGDTRS4;|o2TxdYUJM*xQ`*#P_4IxZIhiuN7KehTvWxd!?UZ@TS$!9{=BAsrX&~9t`
zo@^XTb+_!wx{y#?T~JIDi&VhX<s;VEx^H#n-i?YJ#?y24p#v3vg!l6gEMf|m-ys@T
zf7_}wK8F5yMikJ`+B}<F_mqiK*WwM4QJvh1hlCp?2elo)%h)hKtgy$coO`e-UTX5x
z{b{9rumBi4nB1sVcQ5Q!<UbuhXo?4>whnsB+~C#8vo}Sy-pa)JemA;<VI0ETto+-V
zpRePmztYZphT<zUfV21R*sRskj{tA)cKRry6Ul%+e9zF<fI;IGLFn(JyWMT7Sn4Wg
zg8|ykDUk9;h1%tcPT`O7r{eUxyf-7<kyVe4RzTyBs@VES^O-GDYjgd)<blj#5_LrW
zX#IB!{n=M%7UqVAPu%4~bhiJ2$&)(P=FGWnn!Y;4vb7)HpGYSofwTqmn;2F0Hw0I$
zBkMO{0azwj4WLP+{i8sX9DO7*rU|fomL%(;*fn+gI@FJ#xD<Vr1A+jX54gi8Ag1G=
z<KJ?m@=HzfwtiBRd-LZ#gg5w`0%#}!BE^&AW`LL8h9!lPGx2Vq0&dt1aKqC$$wR-|
z3^m?l4DrW4Fq3VQ-}sgH>!n2Xr{7X_9lz~+uY{ZjK;({7Q=jen*a67C@QLJ+Hf%t&
z152e%(J>b|v4iZ!$B)<y?d1B_0COV{^YodjXBF3sV}X`{W=xFGoQb&+EOkMgzP)H~
zx@k=aoG$bKoi3=cLHP)*cj|%0PLyx!iga7qHx-Ge4b6vvq_XH1Xidjks3GJSBv%4A
zbFZ=772XZwXx4LeLQNDf>>h4Onyu7t;-6!wn@vZt8k5QsWqWSr3Vm|C<r|#nFrw$X
zTlP4DpWw)#v$5mgfULLa{Hhrd4?M6DK#`=yPYou@C#{P;Fxf#iN;0P}806Hn%zOMI
zuI3lHxi|Xg5CvA%<7t!VmP=?;h8j~ru|8FqCb+T@hI$W0O6xt8h~$?bi<t=V#E4S(
z7(AAS!ZdWZu*5)FkY3Z@*s~<qX^|j->OvFfHz|{j<3rJ7AH2df^)_z%cM{guW{;)U
zpDsW+1}7U`oFZPG#+?Qz<#@tG!bK0%Q#&l9s2S`$0letK8^h<4|NO_rtRtxvk@)?2
zm!nD>1uFqbN>h}H0-B>fqR&V7J=s(B(+HXh!&AOH+M6%ajZ5JgJ%Z`ntLEA0LAIes
zA`hX!oRD9WU8~bdt@wJco9&s$o_+#rl~7OMDKQpQli`S$y-W`-3oLWW5=v$j^LJ{-
zGv*)gPMS+fx?A&Q4IF6<ILfQlY4hV<<*2p7d$=QPP9QmS_qJYT_9EXDU{maSCHVzH
zXk6zS1_4e+|5Bp5z5`eMlVc%+IfTGP#jFQ^ZW(-0l6gL4dn*tpLPtM@tU07Q_W$GP
zt%!pVtCQB-CNZ!~J9JCMns^!2+kUjW&Z~J~C=(+VE5WI|xv<~Ngl>Fwn_P2-rEyZV
zr#9k-Hpn0EI&Bma=v-QTkYE;*0u*#00dF)pJuO0O0EP*kA)_*hOoR_zA9~&#uA$E^
z-3qA_q8+G$SBN2TEZt$OMKay7qqj7sTR*)gkrh-WEY2lPwOk6i3e?HY2WI9R))F(8
zP`&;M!tqzQPE6>&nERog9t9>8$xmtph5Al#FU&1%->%@yxISTH3s#K^U*l!}tp?Jd
zl7QE_i=ELM_9*&p>~J@$sib!Q)*rdbumBaBOZ|3f^arm;6L>m@70cLqB1I%&2|MoI
z;iddm#iyQd2ikQmsGEm!dMQh&u~P=7lGcz1mHZTA>ur~Lr37}SjDxTNdDPh7CWpk@
zmQN5Gc`e70BrPjpTTwc4xJ%w(CF^4hmX@+Xh{Gj*tF|mwdi|Dni9<Ic#{I>iVpTZ3
zj7lMG!rvFFv2C+_@8WPGs>Xhz`*#%HXAJ6z><kNeA-nKSKZVa1rL1kNpS87a+b}eE
zu2FJlPJt3R_M%w^>)u%YjSax6ScxNG`=e>9`197GiXu(xujSPmzlnGZ&R4tskOQIn
z3+oV(!pZ_YY#T-X{pDj5BFWamO*<HBRK=yuuQj?qb4SD5vwADYz8!<lv`Z5~-s+}a
zi3=b_Ch>oUN+pbnI`<A>9aeNbcnTxeme1=zx-8&L;O2OCrSjy3cj`t8nuY@}%#Yk<
zEE29+;a9Tzuu4V~{sr;jeMiePt*iEC5y>&8<L|y5cAw>^`pQV{_z4hXvY&tRM<sR&
z!HFeGcyN)-8h`fOHFVa-DHMc7r2vtx)zu9+lyo$KtE_089xB@67q%P=doN4lU&4S5
z*3gRwx|;%wqix|4XRqUV)L78SUi9VT&g7v(XK|OZDkQARR#I!8va&bxJ!&u3K{kP1
zc&?mZj_r46oaDKGg||3f>@+U{Go?wxXL`bAGc@V<h#T@=^dri@_{$evHFOKs*dRU_
zeCiSgp?fTIqE=9JJ$fUG`6M>)R3BiMKV+-(YbV3ch8tEaMJ=#;>@pRu&W-rD@pQve
z?97wZ%}7hN)>*l{rbO93p7A9FT4r8M^{nS706&rYb<tp4O(jZl(Ag5BR1v2AIKaec
zyCOAw%)>&!%JosVi0rex?G&zN=p>Nd8m?{}2a9_+_8qGw%gbido}rVdj7k`kJm#y~
z)!^P<)}aM^=>YUC0{YC4*uPLUT=2u~i7Tbw`yjQGubUOTywcE&)h7QW+&;|J^44J{
zVsC1rQuN4H!=8qT`HrjMb>HnVgHGcT1E$Ynq>1m>$<eZ3>=f{R?e9b{o$KiQWu<IO
zw4(}9hmFs^|Joo+9$JGtIuKGUz?`0N!I;0KlX&2^SGA!EJZ#U)1O2dFpa?PLLr(3v
z5qze`CjXK461;m$-vvW0yamnIKDAc}Fah-CJF48yMLR-pS<tYMLlAA=q#>B-FdE9A
zQP_Lawmvrdbh@x!a!YXso&jFNu*^Rcv%|XgftIu1=GGZGUsV|p%+ujJtkinFOnr)b
zu~9I4>p>m4SFgVFvRM7;pdf%_1Six{!6eCJTAO(!&5eE!s*f{O$KEe|TIXgogUOVa
z$LDhpaP3Tq^o;UvH^hf|iOC)1BK5?KWH9F(L1<Z#!7lJ=`LJy$dsruj<Rhy3E*`Fg
z7rfncYS9#{=%Yl1+d^+`R;W=B3&F*OUUuQN6pQP&_45hYIdseQMUi8|@*?>^Q6de)
zP}Ls?oY1(Qd318Hw#}0+eZRb(tyA6Q|2{|`rhuKEXD9dWmvuV0#U&4tWNz~4+DniY
zWU2YJEl1yN|L3zkF#n&u<0#&LFZm~MwgAEA!^WC^zfJPmPEdME?SD>|ps^re`v>M#
z7*l#)Y2@N>Z%rI|ET0rGb9b3|PrcnRaoEzQCMGSOk4*aP99i~xWR^#eo=Yb_5D_bA
z_!M0~o!Ez+>gYbUzG#e>A`Mn6H~5vmwC)9XW#Bhu^I~CQ9X}BFz7UOn@!OYEDaxUM
zO`AVVc@nshH=6gwTH3DEkHA#2SqF6Xg)|&O1UrFR*(S6^vFSZ!Rcq>(K?z>T^`;#t
zele(glSFRsP~4*vOE!0m#I%58rCZaYe+6&W{kwtZpX71V`{E+Oal!jJdbl?7#mkiJ
zrLpVRCJxooOgb-VgFl%Ya*zmV2X@!0OwYS|Hs;{Cw_8|7X-kc0f8sioR=j#!;-__s
z`q?R6W0+?sco~EK@W+l;AK;)greRRD86X~Kt;&ttV^!r4uo}my2YN2u>ctu3{Er)y
z{oa8*EGNtN-u~4B41Zp-oRj;tpuXtV3?3jQZWjWRVg!`AGE2PWDt>MNztnEa4d?iw
zgma(=r5(fiml(YMo^t+erC;4iV8U{OV-;7$7F^qju9{YapKG8I7{*e6#0Q$n!7lY=
zJGsZMADJT%K#v~IC9eF3k@SqTbRf0kR_F606!(B#zLy4`+0WksQZq5?Lv4KUj$+3J
zOS95f8^&0ler4|1Xv4BxxY=m4!w-Y)^Vi3asF3QbmUhE>*;Y5&d|j-E9gYH$6<4*H
zTKBHq_g#JNOV}<aJ?PCLU7}hyd{jIFEk}`?er)2Ikm_V#9VVjjpL(o?l4IHmQYF)j
za4gig{Jg0EwN=rDx12po9EFtb^#;%?&-3g#+`%;Qu^-3>EcB#4VNVVdeP5iyP{-%w
z=48gogc>4kfo+--gKP-(=IGbYbG1H_D&DD+5EhrCBi1)bIF*jTVRLVoF5xDS$1Y!Z
zP(Huo_%vC4-86a4={+0^C|~8mJO7&5l^;Tx+6gwy?%pln5r~q7PS&RKoau=!U*I!P
zv3qoL%xzneNiXdiy5`a7fqG&rS}EgmKO@EpH%zDRL-{Ibt-Dk5xjHU9U%C5bd|P^X
z-&IC?n$N~TWEIdXOa2Le_N&Fewq8?E`f<udwNi`2(w&;uYVgXWBREqF<Vmv;F6GrK
zdX7m;$f;w3p*J;xxWO!zBlS0lU3aRswT4jQxlj>F4y`{AVMJkj{8nM_|BCd;^PF&n
z$Le++I({mW0~R$gbc0VZX;NL{Se@5KHaL0N*p|;k?aVv`2v<qC)si*Cfv4n)Ql|Yt
z&ujKXK>VwRhUtbjIeAtv{AY<0&4MiIwq3|#tZ<1BSS8Uy#m8dI0)uSfjHiZ@0e@R5
z1N1lNFqZf149Z!9fYG?Pba(Ki{oc3E@?g^AM}~kbTUzpH4uRa!t(_DgG`ebXREmZA
zFVq5cN@=J9qAqR^b5S2f4Wk2b^beU%ft}HD9$o%*51y*HufU(D3JtyYJu5R#f!R0%
z;97(FDIN36Y^szmV}y6M8CWOj%E1+<2~C!m`fBJ7Kh?h*J0VbbRK79zsLP`z=G`H|
zUFZC5j@UcVU36Uojz3R_>gBLHi}$)w&)GT13}kVOVbV2as_u34n(8M8J75qo-~l=r
zJK3zH!X0*nZFrZ=w12YWou@=szqhA~Xv|;!o;+c8+?f<<zXQ(tvpiqi-h@bxpye|r
zWl#^{I2{`)HH{VTh2p&vWB4uaKf@O}v;9wm8&Uq6HhHkeuzItk!jY5*w+NPL8re%9
zk|s=)AIVE^PH|2H$>%;xR2P3T+`w`<bdeI?QT*wGKX2NjrL$bWeFc`_zwIRlyiBMk
z!KUR%lF>chsE?{-QM?lFB1ZPiq`>u#IqcIRLAnQoI_jrhsjxHTf1dodCLs&pTTONV
z{KY+9bKeeOgUjOr{!edz7qlJ;*kL!QvWzQGzkDv#L;Bpk{ikf)<Ax>3O#S6?ekFI@
z3TJ(a=4D1Eg%yuGB@gJ3;rRna4Q|Jg&opB|euzmUtkcT+sn{t+10(mg5m+X@zx!Xm
zWGQ3*+swK7VBSs|h0}LmcDRe4O0<ak20`ZaxKpiGU&snSG5{qHZ}v~0)vnf1Vx$r-
zDyw+?<K{-Y>)nQ%n$fmuuNPX022>`Go|Xu?T1wF`#D@*Ydxyi#<fxr&tc&!IA%*oz
zvM8eyzOH`C?~mvYrhrR+Ato)Vhhv9>taSSN1vg@b6h8Br7ow$?h7Gk(rr|&{C^wQp
zh`vU}))e83(S3DF6SeqJKfJ~8<N}|Gg`2rj_Bh`lSUd3E-yFPZ|4er-xJgTthXY6@
z1h-iGeUq|ff|_xb$E+3eof*%nfbCvz6j=2j>i=iEKfj_21M0nbB5?-kzO181R?Gai
zbvMEDRxthEdA`VjhOmNaST<h?Ex!X8Z~Zb+;}2gxq7&b2Iee)nh^4{2-W;Qgwe?+f
zZbwJ@4J44oWy02Lm(N!+ASR=lEw;B4;1|DLk?;&<m-yht^<xu<){76dI;j}hK|p|<
z=1KD9<lqFvzS8TF*IH<W0;rfuOR|fOe>emhys~l=JBsmd*zM<BAt%gI`D((Nj<FQR
z@1wS_O8BklnXKM4d`H5l!+@tbDoLcrHE*a$r04%^>VyG1v$A2@v6go#w_ly@pk=H!
zDXcxC<GqcN=_l}S{f%f(zB!;|A{bGy3ZIDQRq`}EFf1{B6v7K_iuqCc`Y`Qa1Q~=A
z5u$~~@%}8I#GJ~>20r0woZ{$3Rlr;g$mjx%jj^3QtUDsMf+E$yPh%n}>k?uwu8(8P
z&9gag$l0;KTkWnJ9^5!K8OScir9^VfaM{V|AD$<3DJ1f&>zoim8QbyAN6e(~{eS@B
zy>1oUyVX_36E;~k8*PKeQSPRZsJoyUwdKkjzl}O6Ri3ZrYBVzb;M1rYkmi3;XR#dz
zh8w-6ORk0(hGpMwkLGzDCkYO7--P`;q&qy>QK{8qzgeTZgWeq*-wpTsIFge2gD&wB
z`|TE`75VlRh~iQIk{89Jy(WzWM9fZAvV|gx@Ck3Xh@~u#rL|2c$9w`S+*UwjVco8Z
z#{=8U$hMySbK{Vt*<7{3CX_qYy9<Ye@PUh%vcP;QUX%K$L^Mxqm^Z$BqVG!bE8XAU
z;W|#l74{67OaNcQ=+#PM$Yd=klH*OxD5%sp{=vdU<=5=gA(C)eR2T{@gc&a-rnRq6
zMINmgc9M(sWcz6J;K$7(*N|{9i0?*_K+r!#9N#Csgk{M45Oa-+z1qxRb%C=_L@jyU
zXtKY>=(0dc9XPwF`ebXnzD{aLJ#@Ck1-gvk=hjhomizXY=l&)<`6xBeMSIX=)Ba_A
z+>B<+Y7P8ElV_$U{|{4V6;Nf@wQEEgq&uXM4(X6sq?E8|SaeEvNq6U>L+S1g=|(_A
zq#Fc5T1rs&<o*7GeP|pgPt9@1HBww7XdgQfMNMrh29zWoLm#Ba$w8XwyHt>5N(Fyq
z1CD%fj5K=p-g_inwzL&~g3jDGCt8jYUQ1gnXBHu6Cnwnd9^U`EOuPSkhVu{iANY|g
zJ%A4T+EK$-hSQ3=q3x0+-e4{f=_;a*TW`yp;&lw-3OW=O(w3w0(oUnfz;wejh8@zw
zh+ZLc1-B;|&}NF~ozG;kdcLY&LuD_2zHvCm;zo+xN1Ub4a<!yz%f@`=gCZHFy-+v?
zV^fg%Pe-yu49Dls8h2I4C4nnENNjZE!__Rc)_8GdL8jUTjneum7wlLNo8ieVJ)@+-
zVBRJS!VN0MO>(Zlcz)U}J>*jQ7ad9viQrx&v_lyU=l(^`sD*qif*!C)YRE)2b(!{h
zRLfPJg^E!~he0dFtvDN(y^7}P8<v@z<k%5j0j~FKAQe0*sTafI@4E!-j3T{=t_CPg
zCwBk+-xVlQmN~drJk~j+fIeQ@Wjyy?>BBPj@w<$=-_4gTgX$bOKLq}SE`-KaVGT0u
zI8$o*E}?PWh&3(ZOoohOk!cKlII?F#309m{7--0iMo|C2i%egqhUxh3WY4PC#RQFL
zqYxQkg1^{)VlfF_1)asrKzkde*!HGH?$yX3SPfF28ThB}AOGJ8<2$z7P>I{8eB{p_
z?%w|s{tu$^h^>m5c`vae@ptrJly;TJZB>(y0qA)A`?K~mC5|2g_R#Ot>AWs^J#8Ql
z!eSqD%*AwC@fFe5ujsqGV)7Z^y=@&kci<j1sSfF$i=#iI;-jBWc-ZO;*0u<3-~cIQ
z#Rmyvrp!;gLfHM(52cZPZs2~1s}NXZUubg+R^FIV+#`%bkJ~4M8n*AeQ{{QBzsz6Z
zXv(CI-qGywJOAlS$(bQ)PnkVIPZ@hk{@<AZr*-VGB+@tnKWa`;9B>(FP;gZUhHNdP
z8M+&Yi?8tk>0?VsGcA$ZBcbwAJFmB+gKNK27)CrH{Z=yy%J~loBV>p#QZy_`gwcam
zt2oc+V`+)^##=U$m=7~Awa%ceq)$X{#@s*%2r-e^Ez364W$8C;TC5m2N{mudr>1*e
zTw7gCB|~e{AzWU(3g}2Zp}n^ip$F)gSM2+@5*ua69be!6zCDg4_Pgn>X&xQ2Pu}s8
zC{uv8e6W{$9&lNEWluKsCcGgu@J{&YLXP(7?`MA9j@`aFdBdJ)EazRPyjU+-tquoU
zM7XfYHX3tx{{8ic12+a$Oz$rx)cCVwd%A8*1w-#&{_T?4WM)a*h7tn~T(BK7QUY+0
zAX#FcR?8;`lk!K;pa4-x=OKH?9l8nE+WlkO=b8^$Z1S__G$LiIUKJD2U!RWm-g61}
zh)2_`h6Vn9^N;24uQ&e)|NVUbhxcJH@D|7G@5e1?jPu)uW+4LbPrL6z-iG&kF#jFs
zDxK=_-Ba_-)Lb!TKtt=~DEWG+s*FX>cKKhu&ODiin+eaGP<^woZm@f%BsUm$^LJ-_
zze&tad@XSX22p(;C~7@B?fvNRv%60q{WBkEx7UrpXoEcm!}o<mY<yZY!!rn@OZka)
z(<=#gQS?%X6SR$dP8!Q0OD~vLQ|Qj2QO{zh0N27aA5@8xcoP^vb>9frE6Dcji0^Bu
zQri!r%5KBa7CM|+!hiKKEgcp+OUNU(#ujc+S%%I%`!@;-xK~sr__4}*vD<KZb3fT*
zv^=ieE^L@i@;hjy8S%Mt=ylAVejo{E3q387)@~(#S7i)euSP(wbbmN2H2Y9)&2td+
zeSa~etytvm+)Gyz%_5!p()v1;Z>78N2fn1J!Y*k)eq~HJNjv5W0$7#?9tWbgp95b#
zoAd0sb_Yu$JnH+zOlfF9)wx@YVNy6CuuXCrSqyZ^S4NihUGymvI@#YvLSZd`_=i8J
zW2o*>#>PPFZK&6!SiBYCn0S-l_O=C5+3MaAQ0jXkr#T+^{4Nz1F6o=sy8m$F{MDhV
z_ulIt=l`zgPT)i0M>I%Nm%YnhZU<;=SU>0r)=_k(U6vSU4YR1h13xvI@hrUc2KtgL
z_g#hfySYLi303ZRx1ov&M@&D|<5pXS9$Qpd<UbvGp`NfNgrN60wx$Z;bY6v4aC+ir
zgbP7HU;Tk!uD!c;=~1MXtFTrMb8O@gTqA!emmHNQ_P;lEUnNm<x<WBh{t=k=SurnD
zx`n-RRt>_znnRz6Sxr69FLCtaUu9PL%H(=tRp$mBy!bI|{CZ9VYRQn<f;jZ@_uSfS
z#{~oTAxjy;`#FU{2qsHL<ugu*(gAFf&by*EvYgokk<88l`X})d>hQmOVO>5`&<RUE
z$-Dg_`d$q>(-OFv{J&e0=o+6y{j3fKqJ?q!)Wi(80vMv9<q-t$UHytzE@m`!QTy0Z
ztRE`qpPBXlTdqrluH2lCye^nHZUME_kO3E$+EL((0Gq5&w}7Qz<%MML-ckBxMnL#z
zcwXHxDgjTL1tq+)Lxt@ETO?xd+I++9jKa{_Od?|;wj@o6BPN?Na=UV`XhUC4J1cJY
z2OZZ-<YySr`Yoa(sjJ1Ad!q>&nVB?01paxfdD6lQ%Jo%&@aVXwJOYcEEEO%BsN%!(
z!KYj0NT$6Ts0i%DvF75{!({#CV<5ugZsPHA_zr@`FHEU2XJ)p7Ww`1&m>T$<iNKEg
zHFvxgeM1s{!TyIb3gDyt(_^0^CXO_DoUd8+ccdj&MNQrnH1!HS76FVMwY}!h)sdoh
zMElakh9FZ~%i}Ow!YpPM+zbnOBNhW5q`{cuMj1|_Jt$EdJQP?B##k@~0JOleCUZ^g
z%5YIAN9QX+n(E_-iv7;ZKXdAOlD%Negf$OB0OG9SG;{HjRlQ|n_Ld~2VKnB5MS2Nu
zKWWcLVe8$CmLL(1N}z<d=xZt{{8?ioh=wSRv7%Q5)+$5N$0uIijitfxDZUX=0KiLA
zrWAx~&~w*}8&qmpuP7?g$G@^r#O~w;W6Hj~&Q?S>%WgR$Od4g*6DD~quc^oBuIz%0
z-@VZ-!@FxY`f;J2#B|1&Ame@?(A;?2>fNQ_CcC?*+~@JNd-t<PKb<A;C=p2T3+k2=
zk179MnbGqsUe7M*UB_W6f4}pDa=T(SOfX8}McF1aR%j-~`fk_z8K6aLIv3v^o`NHQ
zllT>mZ@m0R=%1N?cM?w!9>?47gZjDXa!vM@4e!SLhlsC$q+?o(;*eSZKs1hBW&gUT
zAfDW>d6ZmV32Vs$1$Fo;-B}+q)@{%`pJ<}j>*F8kKQI3Oew2`@QR@ogB6qYgx+Nz+
z&pr`dgS{m&;%1|JFB3b4<(G7`7$TxVgEwEgi3>MN`of27vd#D=lXxuYRb8JTUI}-=
zX)vgM89V`HmcmW36(5zVcIn|pbTO@tNI3IFVS#bisX9_^kpWf%BrNCWKyJmjNB7p9
z@`*{-s%I5L+cfzqNhw;mNSW|7a)+)wgZ68M21Nx|P7swzwm?j1HEyFX(v&m($Vr$^
z0Z)Wh4)@TG5RM<v&Q1*{ZY9at>Hq1#aJi%02bt@e9V8&eLKTJdeHP{>y4)ggEA0n_
z<R~kDZsuXuLkz@lzM~H=1k+t0zL`?OW=ydD%@dvkW(M&M%5MSoE<N6Hq<|BQ->V9B
zHU=W`nk13cx?_~|E9;q#MbWYj?00py|9;N=#d<I94<VGbyZILzc+Q1@5P0PDrzX@m
zbJ)j}eE+tBq^oVMjDJxtmute)h}Q-{U{r=}Ju$dz;V1wo<uj19O9{sXpV%6Or7Teq
z)JcFN;RY#9>WcG=N~+CD!yTSQ1oPvUyJnB%0alT>x-LF~ZUhrqtXfy5dTUy{H0e=8
z-7=ht?3cKC7|AvYGDUw`3Hb866ls>lhI}*6e@PL9#)i>aA|g$EIut^x=>yH0Q4ecD
z+4j3!d5wA4>F2rBc8KB-%cz*CZgI65FIgt>sntOtUMJeeV@6R+r8ikvb$|Wu+$0-i
z1FXL`=AfNq)US|KetPv@a8kGj%d8!n1zxOktOcpEP2*fCi{BO+M?QIuk6ZY2sOGb*
zfgs_+U)AVpK3s?+12vB9ypds262HuLHvc=0Q<tlK1W<MqG;*x<%obnw2#r;POc6wY
zH)iHP4-mb-8i@5iCY}jB7aP1$M`THq-&G+N?s;aez%m;n<|lFv8{M{4lgH}JCbf^`
z{7yES(Z4;F8gd_mkGR3ug7oUuK>bHSsoVE|=K=@bKa9WMO#FM0h*5Yp^Y3Bi9LyPk
za{2qW^8XH~w;ulhJJ6EYI#kGV7-1a@H?{_@XDuIK2q|##B5*5rzQD$t$?9{?HsgNX
zpg{Ho)>nW8{&$ZGG(m1|ZgV|gA+ms*iJYrTg}QC+&saaml*sW~?jN=Jf!>()Io1CS
z;hb;HQTdCvI_Vn3agx!W^dDZ}>NtE-{c)Pm^a^Lz?I1_rCbN4n(kFs_AEZ^t3{;y9
zBf+(3e|z74h}6=53Q;KTjOLm`hW>d0OnroS;X$)x;w5oMSyLVPl;g_P6e!&k@^_X&
zI@2hP9&J*5ZzV|m*6G4o8z#Er&s$(OT0&-X+hE|^s-mlZ!p1tpOV?Qjo_~2Bu=te<
zG<MZ%4EmB1%NvXUhdq-Oy6k}l*%*ziLaU)NMBQ5*RauIkj~k8u_7el0Md_OzEo0wa
zPwkO>e|WY$52xgZkpk7hr{;(o5$BBx)}gG8l|k$T8DZu00hMlHm>yF+$gGcIR9hfr
z#PAUyLJz(L)6H`8&;Rfx*z3)KnU=TbAJ9fsr5(cZ2f^h9D~8Rw$9Sr7L)S`CGw?s*
zM|8Q^zV7E8T1VP4zPAf}7I<wP81e5<??1u6_ksUFsvhZ20CnJ>x_=%I;5Tp1M*|;5
z%e?c5xxzrfm8|@_0~{*;WU*^=V9V!L1}`<w34;(hRW;IJKH}SHo=huJTQhER#C++`
zjzE3^D)_*_ODj{C*MMfjb%Tlak>YPb@4Yum7>H!Y=~cfpa_YKg!I^n7g56o+QLo$w
zH(1jRSJ>tEiHbun-V>8Csfza@TYu=h#GM>6$#!GM=P%8^oc3Y?Mv0bbFt&dN@}2eH
zPp%1mN=@};)GuaScRw*7YX)7neh{6L{0W6Fx;=|#4ld+o1bO4`m(EoBx=}d=?_Bxk
zVyFU@O3RXT8F80HqQ`U;fF$!ecE38Qnz8YokO6peUOSd@w)D>DKSY-ANv)Sf?AeDw
zGVbPGD-}scMA?LYHA~)-MaTMRwnJ3EjI}TMo&}*$5|r4jO1fd$+c0%aw=Aam0j5QS
zuE36;@V-+r95=*BgFnOIU0FC-3=5DMVh1XdRh~gBj?QP^e3_-;N`(s-$IBOK{kWl_
zP&OV$q=Gk3aIwmkCSdeul<wr|gkmpneXxoyf=RJTaktOkH+dU@$*`*nxiOdi7uCac
z>s=`!Ssl^aX<*~=#LriT<3pLH-*h0vYH07S46(>hBl~60VZeSF#E`}rN&R?6+c%{`
zadV@w(sLaFra(X;!yZ8fI<%7`xoBcW944T$P&`5JA3Z`l7OdPXZ|!OTZ^xI~kI&l)
z5ER=r=_`AUZJ!san>+&LmK8s>2Zhn0BPLc}B)29;oCaaCk4v@+7mau@BPN1sYTgg|
zt#_;oGjVp|7foM;U<;D42>66!KJOLzr(Uo<3i@8y1_@igAo6qBnS1GG3BQF7$6Zds
zEGG>SeuDsoOX4M;^&_9eOvS{|OA~ufe7|Fyt%u?TE@W^1<Egw8<ch0gNZG*EtrTmv
zMv|yp7`w))nKNzLUQ6~He43IXV)2vvub?C5Ve=0TzdcHLEs-r8)^||st~=gidiJ!E
z&8tj;K=7ZZf*c?}lMx!doasHWXztR(J#`!kG?FQ~I-S%mJB5DjUB^|;R&R1<<l4Fw
z)K?J>S@q@M$ZU+l)0j(goRv=5ZNIAwTnQed@-uq~n#i-X^R_8Z4>S<sEu#!|35o2W
zL+Jq8WlX^Ck)ObZ5hXh(Irw4!4R|tw42&4N?rH(VfSv@-!XFo!izRDQVZ0dzSx1D?
zEk03=*^%u_Be0CfgEY7ymnp$iR-Yt6sNOWs8!}g>0(=y77{+b>vUdSCfU20kG|s3O
zhWFi2%A(lfbDtfk=E!t0A0ue_@u-km#ZvO-aoHujVnlFXiri;U<oPfm3)+6%#{S(U
ztnO=_?-X0sH0om+jTO*)7;$DFKEi4npRH7{e?N_l+sWZ1b7lqwQ5z>wmYoR^(Km$s
zi;pQ0`4>6zxdbnn9@%lqPW8X@-Cio4jC7BtWS^_sc~;a%V9r0hN+fI7HkA(!9rKbz
z!@%6+IoI{vk<;4Ef=_pA<(kbkR>}eDQ~L=lU1^~3xg|J93OB-n(9tte(ysCtk-1Qv
zyok&i@Suv8WUm1>&3^469H^uHG91h*r5d6a&T}<01tKWQKgLZ`0G|@i+SZiR8@p4b
zWp3T+&dE&5^t_WcY$)S?c*1I;R<TTj53vW?9@AO?*UXKLcL&P0D5LVcFwCT}9fy0W
zm66|UeB`J7xHP*#HqM&KWM&`8tqEz!(l&(!^T@hFDlhOhH1<@3%ZMM6pj2#$wMoIj
z+DQ2Wt+p}h-zz4h*h$o6dY*2$ea50pqbF_ufMnO|rhQpP>pLgU-i7R=m-<hKX=2)R
zFclxMQ<{@*=djy?f4@PU@x<&-+mfsDkMJ4Qs;4wy^k8;eG%P`S9?QiCpCFY*xSRzA
zH)?1s^EXbF-_^r#VQuqF`xVnAW$DvjX{UriK=2ke;B*h#`XJ5Iqa<i0SleQ{z)Ta*
z+W6ZI<?#C4jXHR=iQ*``uIih8B&!$Z4n$()NIcOiI9hQ$GiXQc!8J@psi`)X9Zr7k
z&m~i5dHIuzDuT3|;zc+sD1m{V8y4)?%K7uRYf~i*BW#e`Zio<dkYEhkyi^$sDBvQ5
zC;%QIaQ*6C`4K^)e$xVjk(QC^lJX`M34}Zu2$GV}Ud`Kh&uOKGC^g3D>Dq_D!4rfz
zM5aUVBWGl~_=bi22}k;e|1}^BQJcm%3^HORV(*c>3uItZ(!0RHV4*EhmdP8G=Z|iu
z#hI<b^@K1tI*?aUQuF6mLa|uX%c;{CbuE9j(31q85;A-^RlhyC_S}%}Z~v?^7=v3~
zxk?#H9A?7nY}ZRI7f<S_PM?mxA%e)WAG68v)f1uBlHLdsjHU+tTB&1r&pYp$#=4aK
z9gIaWd^+z{HiZGS0syDjjRM6K7ZTAKk%0Fln*tg%%+6;&emi`^0XdWz=%5p?J1~xn
zWVF*+lE{=b@eoRofIsw+ApNtJl6B=$d}4BJVg;R!qBX;}Lagg2w0(b+)41@e_k)Q8
z(_d=Nn7VCgJ|=EY=1WWJ1jTS(%~WacCF<ab#J7<ZT<FsjgVA9Nute$97yJwBFdh8;
z8;UnA2SE{%jZ`(GV4k{;j&Hqw{upZN>3;I!ZL$lYH<)OiWN*E_2nG<e8Q#@+jZfR%
zHlBPAnu2S%YY{h<FSLoBFs<bM^10P&n%6Dq7)qeO){n6A&G`}ae?~&`c0|47yvNx*
zzY{@{qk#{-pxEgOJ^{@_X`WV>4ONS%`s}q?xD%yC^KNlU4s_bP+MB`$e6LD2ZGWTr
z?dwg`(rVfd(V1qxu&)_jNRkJjp$@CaZJq&=a`hF5u|Eb5wCfMv9!r6$X$oRb2TXGI
zR+=l@ASA~q{qfVk*Wl-Gr}vbdEq*V8S8O`BmemtWB@fCF<5LofOWYaZUN@ax<;{Je
ze)j_Gup>2aY$Qo-A}s@vkk{u_{Ia2Co{qWQ?kKvn_>;Dyl^=blvJKTiJ7$2Eu~=qg
zw@CY_b1MAsE)Y8h^WLlz=%}R93gBpv5Fx#04ijZ3uE>7j?+Ymo9=@a5M+7{KN1~N5
z0VC4X<1w~i?iUBkt)j^ibu4g661p1no7b-)U4w3>+^y>%_oe&>4PXsHH+)WL%8_RW
z5vNIcax$$m913n3kUMS{-*Pk1?FMXpz)d3b%mP5HJPc3pD{)2c{3@*H6rcUqb!m+R
z{CXnb%NEuGyL2RGX*Qn-(Z^a|eN75P&|`gDuQ{paV2KTjQ5}@8+XEfnGZ-pZOWz^1
zG@ywV{W{m2RASSS+qeN2@$)bpP-bGsyo}<wSF{{nxMQBTrlb+^Z$A&~FO3`8XTtg)
z{4X)hmHn5N(z!XNpgNrnFDFpWd6YC)<H`(50P=1zs%EtG+lgW0dKaU|wy>1qUJnTR
z;&yJeZCq%fk0aZ=y8d6H$Y(A?&ff7Utqe=6ogz;DwRdIl?*1B5+`JPrT#)K|3FfRA
zf1Cr4-cKnJ$}Mf5GY7f)$5G9jl53w-L{s=n^}+517?drNxAvtww-t(H_}}-=`2~Yu
zBgs#}dBmV)OVB{0Es^Qn+nKPEh7p3XbWQj80Kr!NSLboj%Eg<PcLL9{K~DoSPgIIU
zip_P_t}^;p#n%{OVy<}5tx`aB2n6OA7IiP&wczJiY}gW3zD}5HMNDvmM|S-Q!%h^h
zq~eo9b)k>}H^#6JY~Mu9?IH-n<1_nq-%1H`X%xrp1h515(C+xt3Em|xZ>d1gh+A6M
zHyflR=zyD+bmIh`J11+Ach*sB5xI-B3)&8An7__IPzuNOFny{ejM<}!<;ww|zu!T)
zsQ*bROjaRbRvKjlS-&9G2+*<|b(2DKzGm(9p4#37d^+@x!<sP!GgJUv(+gxKL4CwI
z^4SNszW<@(qE<j@+d;6s{PaL6=tM1{#lfvWj49L2cn#HF^afK@!jPJJVt1S6c++dA
z#I1Vc;=GpR`GcRZ#;}9l^w!~Rn$jJ%Ub)>E`!oP{lB)2sL$z^3gXMvce_lXMcfk?=
zOW#yNFP1Jz`yj8#97f5Wj|yT_&bpE+0=4?$zmMmBx`UL0NecLM<Cevcx>JRC?rv2c
z?^F^jQbA&Mo)u*x2i=IW*0_~=eu*Ereq@kRDagiNMnF%_L$H*Wz7WHZX)DjadR4Gu
z&X&-EFA0e-IGTKS!KS@3n}0&7I3F@!2CU!0`EWL$C|FR_u}{>z=l2kq>TzjzO2iQ)
zxl78+Fd~c*kOjJHMbGzj&YSyAp8xbPYJ*kVm3<gxpl>nTtA*<uA8y9+r~EEM4>(Bo
zp;nso*~_@!jOC;PV_NG_xJdl|v$4aEwUW2pxv}k5Q+0gt656$h)hi+k`q|XNoQc6M
z!Cfx;<y};f+lDu;l(=!Rka=tbK#1z;UHP6i?6_#{X8L}+1iY;h#cn3r)ufrkWlPw9
z$qi^aF|1xgU{nRp%u~VvAB}0O5y428L%&O^pZh$5Fn0v2i9tTab%+dg!C~le<oJUI
zzMwxfH;6|gKe~3iaC62;E{{E;H9DilKO4xWyR9B=`bw(6d{r!eyc$+@$#uaRK}VS*
zbQ$SyhbFt{h}W(t^4RR{frf=f%`^i1Rr?0^^FMhE8mX2e;cKsZ)zB)~yDONU@|HR}
zHR|9OR$E3O@jV;Z8%UC!;Lc=*m?gg)%0eh+{Rx_X(_P0X?T)Btu+E-?>gJ{I;6v=j
zl$3sn+n`7%qPcXP$tjooWtR~$EX(KLOg}Fv7SG7Q05j~lNN>nC?;wLHp2?3P&dGf0
zK-iG=(43MgLUI}5$+o0HLVFc6BRKVOBpXbb6eCd@EnABT01*`VCR+o3e3vs}eK?_Y
zs2T02lV+tCzgL?QmD9NOUn{Jg`UR_bGOl~ha{yJ4U5qY)gYMyjpKj0J$GqLX`|-ry
zK8hM&#pL0i-`ExZ=#*}<-h-^m-$cFpCQ<RyJ3U;J?AM?6Unk?){Vj68I_;{B_Y}T)
z;;<iRVQ%`~#Z<$pQb|Xv1CHNvO;LXOn<rL!;xez#?V8oG$vXi4y5DDjrdTH11@zvR
zPhJtRfu{*n%Gh~sBP5I2aTd5j`%N$!{59sck$^t}m}f&|k*CmyYp|;UcbYN|6I8VT
zk`e0>NCldm2>-@NO#dT!{9)*~$tDtg9jpW(o~!PNupfYyh|e_l{ck`_2DKqaLb&X}
zS(Uc_4G2}8erV2r3}>37(H>jeA<}qsC}^uAv3{xkJNdIivkEZ}LUzz~m9D^B3JP%}
zu~@NTKR!6gj${dJ13KQH^xm5*@6;<^E~4sPWgDVxXmI9t#0pL=^-~SJ+@31(bgjR%
zpQ8{h^o(%hO0$-hO6`S1@e`H$m>R1qA(eLaX;A)Sa)atq;1#bIA=5EEeTFb{3Gl4|
zVCKxs;#vX@xS0z{%vxG>b?V383X}^0jlgghlnQNMK1fT*bQPyp(-(jGLxEoL<<I<m
zdZJ~3HSaiMY+(6|Iaf~ZY%AI3xP9m^eQ~k8nKnq&tKd&nJu@nGe^R8-KHDJavVW1^
zxAQ1Ay*iD=jrGu_AQ6be^QgRvPeeB%X7gy5PMc^a^I<c;*07)2L)rbTb4k@zDkh=%
zT8g)|n2ZZ%+M@(OueHm;j3`{VaKwd$<Iv~e{Nx1K=|Jm<BM0RH%r<SrfN22F0BpZ(
zOIb-jHt5i1!@L4i@sn9Z*XxjTcIn)TVHd#cl;d;+6x%nt-91FQA!k>#<3a&}f~X{{
z5nFRtJBmlM?1M9rk5F7t#IB_vDNyji<d)ITLgMoYHXF?N#)q0g6db(&^H&ye4#y5S
zP#WQe(oD!v{w4${+pgM)60toWy5>S>5P>RtJF99pK?<IQ0!hwEsIqC~QAbp2x6Qxm
z7T%2NPjG}{MTT$88xs@6vB%|=2|!nyQ4fK;prHf2T3?Cx&o3HG?}=HYr)6d({pZke
zZxdRtvRfS*6`#*1E0^5cjr0AKQ_!Mry0&IZWGR96xf(v0Yer7Sjk%uVB=OWXZGYuo
zNh(7?&<K-KIoa>D>|K@oiyy_CAUhFrYD({nhrG`lDYzi-78mswljSc}$x7nCpA$1_
zC%h8!za)PC$}D+b6!u}o&O|7eXivs&KVB>jYYh-Z?z8;SI&G~g0fS90S)JRuqtBvX
z#94kt?x<F<)S{%dpu@sTp!M&Cl?_m3?nb7)rqMl$X@Ux$<f5ZT7Dm~D*V2Km*_oLO
zR>)`lxD6WRr~B;Fpg+&Gkj#iWLkM}Kdt)(8elKTM`_^P`{fDe-VoeB4%CzHJ;r<80
z0B7ac`NUUcgL9jGo$zHI_1M+W%?|yp3IDGy0Olxgax*l>h^u2ooP*I!`qbcKs>OEn
z88SY3nkfDn9qjTEQ=hs3O){T}Br6DBD7Gx{zXY58%eM0T?1}Vw__H~*<df?(WB;TZ
z6DpxMtWSIjlOaX+Catn(Nu}0V%u>R9*8j<02~iF&!ji5*vAujax=A+L1|H*qIa7uU
z)#@s`yD>zo*z2X9J!v1cLk$wz8#a57AEK&JfubTnM^Z>5<b8Mf<-Oi?nuig@QpcB5
zb_97ORtwAk7T+YeF7urE@cdL`UrRRvWR^^d%O?VCM8f^_Q)r9Yx6x5%TO?H7XY=|=
zO21!;sz&ef2xzHPXD_HRbtwD@{?x$nJmV{Y#dptXnFe)AA8f>pevg&NeUYje4d1wn
zQK(oTRaWcXT~*!3gyyPupWIMs`&1+l_w08fPA=|?YkK$@=oWT1CVK76X8rbC+js2L
znVub?4Rzi>-H>YDS_I|9UToq6fyXYagP`V+Z%KvEMhejgk`?+>+RuAh*x%7bk4i7v
zf>erWK4^ZYkxa+r4-g*04<%-+N7|wYd%MXHwz=aGHkPiKONFK9CGk2ow+i$f0RK(I
zRkR)#AID9ro7<2%2cK3F^r84PpRRZ4#skPO!K26}h`NIaO2wBd=0`)X|ASqQp?m}q
zge~>+-wx+OF#}1Bvfk3BXb3gw2E-A!zu%mq#V3P@A3x&0f%O>(vA^XcWZ7ah``jEW
zKDwCA8w{jp!1UDRsnAXYp-TM#_7Ws1mMCMzXrUc6IvlYZnqk*|n8nZ!WTpjHPFl5x
z99rXc?dDA6Ha<)n6$WUbK~9U%8lMnBW4D9Rdv)iURi^!-GZ97x&0VQn4vyiPF)iVg
zlFK}NL|aXllDGMA;9GBo(4MhSLV#h#%osjVtNg&}P|G@(g4qFa&60>a9K*H3rbXVe
zBX3O`fO7_3;mwn<{IRScT!FYcs1@vi!)r<~dbCmOfEQKw5lR%qYtMS>ZcH{yNRPGt
z)1Q&?26Tu5nu0<HLyMr^N3W$v%pNc)-w2Ck(EXwUXBqe7)t|e%>8ZFTiBU;Fo>68^
zcjJH7psUsSJWH1^2OS9?uudWakY-BQB&@#++*^cl;;V>D?akvMt|rd4ENHIXR<N0g
zd`)m@$Rp&#W3npxY@b4I=KTI8TkHbPB-TeB=I~66rQTx{Ha#|CuEf28mmC*iAm~==
z_7KjnQ)pw6$B3m@tB*qg&dYNW=wxqAU049Mf8pIc%3)U}%p%9Kl>GM}kd9sX_5Pfw
z_n88VP7Fjj^sICMR}zm|OV*@=dpGkjUAmeUB{ipi)IkVVgMf^9D@neeJ-=-Qcy;p`
zaS|%4>ebz~rwN-Qf(QMa4%|5LDDU{HV)27S2%W!%G*o}WXKTxtnuI7SJW)_kA+KCH
z4A3h-jBA|4m6y|NIrlX6;N%EVYMm`fbE-&S4P**;wbR-A%EAuU?GeDG*~j<7X_)Bw
zMfocS+<L|wCthm)!z{qK36VSaK-AIxh0%OO4i-*}S-C4|NN-0~tj!wo^euMY6Xx_?
z1odz_4_S;+P=~xBAeu2Ngo1?tQVumO$Me<VT&`uVM2)qXSCsxR${4Zzb~Xp%HVP0a
z&ewi!e(tABOMKHOXV#$F(f+idU4e|aLjO%z{!^A<r$O&ypQ%h;c#BY#jQK89=qty_
zOk{_x=qcYTK53k_h%UwIjO+=O@rl;ce#LRcycoaOkOz((9%wyP2Z-*0506bcNsdA~
zY4akA5^fJIJH9rIuy(o9WMJD5usTmh-p<m1B&}WEjhAwV*EAAne*pF<=EoopW+`5G
zmw9yOIc!|ygpVe=-FhJMvKJ7{uv6)C>-jENV+8)?vtNd|vEXO4<Gm|fQnLaZY)*bO
zr-@Kks!l~jU)IE9;bpP12-4hr08fa!gp@3z5#qVcJ)0FeU(~mzN70ni>phlGRK}p?
ziFb?J7bgC#kA#pQ{n-iiEK1~hRMQ{Wer%XVoS3ofTorhj;W<pC@!OM&cg4D__(VC(
zI{Bz6gce12{*lmjY;8EZ2c|}9+Z7a~Oi^}_pq1sxK&R0cP2hznt|sb4Hzw-L7O6At
z$!XiawWwjkuON=eWS`6(uL%<mYMC)H9!{n`3QS04Y#{dWUckiRj9KpZsQ*<^M`v97
zu}~2^6}I;d0ceVBjB5MVbtM8<Af72eJw3g`Nj*wKJk@byPFNNHuTQFLtB6d9O~QO+
z<z++r<Rv@Qh&eN-0FxGp2~!(4rboLYTNm+i+2rf4?}H_3+%r`l`*N}-<4dmsWeiUD
z`}$y7WRTbAWF+Ns1?|hKA(I#Nhvu<0^=z4fA$<F{FTrY`Xb`k<SV#%o4*`tZ_r;mR
zws!H*5OCDi5*0dB)yuBB{&XKrN9)G9B{E^<30ezl;sIOHU=I%H1v|}swgbC{5D;F=
zNNI+W#%ii~26nu)cR)+jhyb;65Oiq%Qg6G|yck!=9mesxk59+JH;0(5lzV6~M9YfC
z-&0maxXnZCO@l&ON;2-%Z}Q++(2@s<-V0`&BDBCvE+RyDdHQ|8<c3Hq1?IVTzB&2+
zu!|t(q}(Rqwdn_$b(^%vOJ!jVwr_$C^HrGNt-EvMb)l@;aWX71fjZx;EbTb=kF=Z!
z5LFmBH=NcAf00g=c${|S+L0r3iW|y`5*WT70jdy5EmD!$tM3nxkEbOZAF<hFF(AZC
z>B7eA0@rJXa4*YY^(;v^!t+v=6o5BsF$q|}ob|ODRi3XjMx|Y-$&F)62>=ThGGmy~
z{7|R*!r^`H4R;^x>9u0b(5w1<)0hcjVdd36BU+vp0`k&nx~s)7z8r)dA0rtnK19^y
z(*rjzH*Hg@Po!07vMp&A_}Z9^K9*R5=4d4NE8PnojBFlzx)~OB>*0j<vPK1~ftl8}
zSPerTh6zm22LusD*l6!{5(S;XtVu@jcmX+G6)H5b*Gg@f#J@vy@R9(G0V`IMU)vX3
zw(ZAOE8sN|*fUD9Ux(u2zaHspU$j|i6nX>N%saIGeA7~ojerqtGt0)YbN@%V3?LsT
zRR))PT7zOeWKBA2xWke{kl0g$xoWWgGa_AXl7KE>ui$g;kK=E--vOq{6Qma}VpHSH
zg(hQ;&^{=Ddr7|Shr=ssw^DKrz+=|yfvw(g${Ms8Oyif>zd*7<3mK+cvEiw$?6D=W
zS+2b%tgc)VFxQA6u3EJw?z5zuWmh1}z^#Tbd`pfDkJr=7M%Nr!XR69=+TR9H!aCnU
zM75K|703FyJ75?A$ZJ3@L=pXQ$pwxvyM6?yk24xXt4M3xLuu1bx!4lSm?5;&q}y;3
z?O$Lsf)F8S%Hmx56?vSOL?J2?3Y&d50jCI3mU(kgSN;yNKCiqQR+-e}ij$|UL`q-3
z)7px<wd8%<zDPPUYvJ2>F3%q2Yh#Z0(qdO+d1SqxF+(K!x{QKU2kTnIB;@#rhm6(3
z8ri^ULym95wSzs6_3KX3@Cf$oPLofa<=3VAM4u@ULZA}7y?0In7npN7n~)FLyl9D)
z=fKYFv(>o4Pe2Ckam}QxdF1|wzFA0ic;RabvhA7W<CS`!J;-B7#k6yp8xU6C;A6d*
zupKE0JB7MaJa>FY`<r7Ug-kvKx3b2aylS<<8BVNcm_vT>ylcj2>^(KeTA&(k{`$eX
zEL4#WRT&5nFBe+?UhtfjMH(47WUM8w&k$2Ordl#%KvYU~lNJR0U(TF2(V&oJB2ZRp
z8iGtum!tQE3W@pK=TnVzDTr!y1sfN$2?8ro;jKpGW^=GmW=3!bCl{AZiA{qLKs1qt
zxlRp8v0t;iQ?ahe%B`T%G?pBu)7ILWJ$4xGGSM-xFR)oLOXOFSMJK%8bM-Wvo`{i2
z%WGFM=bg=wUx^xG-v?mWO^D^S|AD-XpeOwe0LD19GY}gjN8<dsoT)KLA?m8abK~SO
zEEnVBv~a<S&oc&Lp)-h-UgT(0h=zf837m9BOHPQycCbAc2YplBtVJ<K=k>fFjtA3x
zR+4Io=CJ5f=)4&(U{NjHBa`Zwk8laD2nu^W8iJ8LR=$_NcC^A0p2t!u*3YDeE+Kix
z$y9gEB!!e9Ezb98`)^DL)i^vv81PyY!W;RBxze^hh6+XY7e*sA{HWXY-W*Wwykt3`
zxOa{wMEcr5ISq|t=dp2N0MjKAz;)DxLKD)p+Pay6man3LWvyqr1yxKvv-xJE;p%#m
zv}sx!CB-r?yH~ljT}p96sOoes6s9)1oD^ayTHGLyFbS*i&pBXkxa}sL`ie+^02)T|
zm@X`79@c!52nc_`8nTaPD$l)Gp5c`{^p|qWROuaVc2vpI0u1mpg$~f=_Q?Vgh<HfL
zDC3lbu)+8GGsdg#qYBuDhLL&vM>{?PPDC_y9z3wm%x2JIh_DO%eWsFYh@>S!D+MPS
z8k0+cQ&IJ;;6ee22>_AGFLAq+B$&Ikl%`tC{|9CNp}%Fwc7s&%7Z1dS1Wmun<qEat
zCyR0nl}Ue&ZHEdQ$QbF=Iah+*B8cc_nPJR^oQjhe!|WtcyePPZL<P^mQ6g2gXZE{&
z?NMqtT|-9_V2H1=*>~~3r$WFgLoel-iy_B3?WEOD)?cqqvSKuF%YyA1xFS?7%HRv3
zmY@EwQ8=~=gti{)V}7pHa6+!YH&geVY<O-=+Ku9K@;yaiNz3+Qwn~?FBB#@2O`yJO
z@`P4%<bX>sKJ-%H$raV_|M4{RliTgC-%?G)4Esk9w^T1veT|W8XutMWGw0_@j<#)5
zs<uaz;v64f%+i%+hw`J`Vh8UFpHU*tczhcHE0?xdz}QpERpet8Efre?)QLKvPCSq@
zX1=hM1lyJq(uaQlC&)Y9RE@k(dgF1!2J8I>sx0w0>5y|e`4l(F%KaZU!zN%7y`p=-
zuXn|JlTrLZ|Fps|P_KB$yn?boQ*TByq<8rYJ{doASUj@orD)dh`=(7SnH$p<Ax6e&
z-ug<@Yu2gDsp#i8VT1*d?524*ZI3o0O3ygDJEyH11Pv@P0GT7C)Ntr3ItxHrfa>m=
zGjP5N7DSFqm1gC-$6~`nX-|C(;G1!FnCD`~>Ti5FfoVc}K~=*y^X+TM$I{5}2`ZEK
z<vpO;;m{DS{WFV)hafRk!179`hV{J9UQ!Y5fc~2<g6zna0Ds~5BCmuoBR(%v!<c4z
z37pyJ9(?N+FZh*sIXGbPVC}GpTyW@$HkyJ-e!Wh~!^`U*kMQA`t^g&LlZlOCLwIox
zxYCN<h8*2&L!Psry8~1aEA1_~U(*)TxjBhE`HjlQ?lf4tp+S4-@W~^bH!-=gg;g)3
zHaW`E(U<i9O2%-TFivp(OmJ0siKq3t^ydViy(AJ-<Y6GwdLfy)khByEkH&j+kk$<!
zZgeD+mQRN%o9d+L7Hf9UQx<Ate80CGd8UX?w*d}q^C=++>Dt>%7t0Rd8k-M1USj~E
zh`js4+V)z{#6^Vk%Sk{AaSaSW(n|^KTY`>58ymqlH+c^+teolqG*4>QU$>FOmYL5@
z=dbG`F&;Jv$Y&l7lhBT=BWxz0S*0ow{cff?W&Xuklm#<+OTWxl!Be+@AKPVKyRudS
zw+&vZeStbjU<pvcM)F+gdmgNrmv-SupM<~21K?w;iQ9e3{NYIL<t6R#SKQF$PT=>u
zQ&c`{0q`s<HbIW+BE8lxOq9O?Hz{z3uCIJdCCAm2mPuxhh+oWqZH(u0jGkn2#99Ot
z^SQJKG|~_q!{jxzn&oQf%Qskgo~LG@L(4C1xc3`6d;oeF|2DO#LiR2WlN}0}(V=zd
zaH|8Fvs{RWt`YoYEm5@ZlgW1G_1=krVw1SdeP))QQ^mUF-;i#dXtZWr{EUmSB;;O8
z`3fSEocg};GShTJII3q^XjCk$!CQIzXNQM2w(yA}8aO%{e4MRUxJx+;2!2N7@m%!G
ztKM7U+m~)T-eYrCnVIyeuMkB&I1Zv@*^eFbe?kcnpi%rcAeh~_^D}3|*cp7N@J^KA
z&~GLVBcm=gdUC`3w^#7X8ilF$>is3qEGvczY@pU~&Im^#F(X4}0NFya?MLvJ$viK;
zToQJvTMV9j>vn23{!dDLZ67@pD$q)Ro1kn07Vec6p`4jpY67+DvB4bcW}!@&`iX5V
z`|X7n`}JsPE4MTT>yr=cu4?72!NA=H4uP@w4QN^+2^$#h);2pH-WPw3Axrqv*hLxB
z$Hrp)3rQiC;HJ?8!6{W&xzV!goqVdeM;+UgPx9WO2;uv>qSUr8`Q)YC3~b54ECj=j
z?nISYIs`!?T-;~5I+nD&Jh&Uw_{t<?+sb%F`O>qtod*K`-3zuqH9lI`YQ=&zIJ%ky
zkk1LLh4J2V!Xo+mne6EtBSFjTFNwGGKAri)DT|5yI0+es=_Pcuk6n7QG<VaWu@1~p
zGWv}djx<C!udF;6D&SB-HKk@c5^#f?ON8xzNn0@1=}h4T%rfHK9wjLj*<H5Do+NxS
z65P8+8`+N$qZBz_jQCT%5~Cf1?VsbfCQwdA2;0{7)j$2rw$sZ^l$CB0;d+*A6%)J-
z|M5&NgjsWRZb%#6z=G*Ky#9c=FlUHq-JaAE&Z<nn5=SxcuGckfIo;~UA*~7=ZT;bd
z8<BReZX`zTxn_KT&LAilUu0QqjFGR%j#zaU6Nj$6Lpdiy6wjWsT%c3~pDSNP!;ca8
zlqoraASpZ$^Rh5SdfbiKPlqT?Yt*)BcDF-uy!&m!-}D|{;;x-W9U)>n@bZ3wP#!BA
z7^*eB%@?I1i$y*hDUDvceCQ@La#F@3)Isqg^97|aN%-1v>G96@D4z(YXO>WBBj`Gu
zS3ySjE2*vPYJylZeVcB3&Txjl*ptNYU6RVML%MnhYq}DG=fp`Rr;TAu{mXuVvfbMB
z*aaDOE8)@8Q!S%6Ae3M#-E|M!|Lsh>bp(5_6k}J;hBcnKsE|?~PHjm0#6OSZR{upZ
z==i=s2VoLr65$jWOH&*XFm_{MO&V08d^!T#fG+(tJD~y3N$tvowk2G5Z;HG<!FTOA
zA~u)hqM{n&huyO2W=b;uTx}e$T0JCf-V`|*&4j|VLGDAEqiEW_K%O8#;gAkzvVU!A
zp?EI-s|X_8TGJq`N(P(^J_xG%<_Dt6XRJm^rB(4$dv^NsOrwhzt+e<HW74nw61O!3
zD|~G`8k;Zk3;drA#6{%&D;r3-TT8OU_M+7Pfk5KM%Ftd>$B#+ZZN1Ie5_!`7hIo^S
z=s=P8oR_-F&<)Q^%j!hGwlP|U59z4GUhO#|r{>55sDXrS`a8MtP4p<d<QLqAQSwio
z)zE@9ZkNm#RJXNlv*O*&H<%V3YT>55X|I&fkW28x5NgFEOOTL?*TecoT+BS!>)=-E
zAPVR6e&=)i<!MVt2P5$eK1@{R|DdZqbRhk{kV5{w^zwI8!!&Y*BSr3rt$S(M2c6W&
zOHGT%02zo;$>zQUfPE;DDyY$eLE7l)g~5P%F-;WoStTazCT?Nq=cA{gH^YZWzPz5S
zPjDyw*eqSPbr<NX2Q0kik=O6@n_vg?%H>l-fAOPbM`U@PJW>m5DO$)B*gC|6W8W;y
zF6moOhSTc3#>;dXN9PNt4amZB-$+P{eMF89-^{)&l(IFeC-VhE8X$(h&@iVEJ+nzS
zO|D*vTH)_#05YgX!noKVyAh`t8m&z@XQv8IEuao@KlrvW_c-lW6Z>KR%%<0M6sTRP
zufTUa6gSbKYp4#v2Ld9Pe1oJ}#D5|FT1jLJD*kWZgDS5=1qQnKFTu82os9+a_$ibl
z;ttDM#pDi4#D^pDoGXXRfJ&Kd0guAFJfWRio)}C-v9HL_GYE4uw8Ves`{E=Ly+TuW
z+NyD*{Ry$rA@bh;tlVAovWc^fuMRf`HWT==Klxa)+!yS#!Dk3D5m#DBnCZZ$VRLz*
zIjlf6$pTi%_N-PN$sLHcuDaq74u^Zl(sQn5v)GuxFB7DbE%cJTYG4T1wJVd}$*!sI
zM!t4)nJe<=A9cJ}=T_3wmsfZ)PS~KEPfnZ_?f%xwh@PMY4RLs;cBaeFHhMTiGQ~v<
zER|FY>UH1T(F-|C1J18;^F#@rz4o9kB?(w;{JwmRszQmi^I1#1*hqpwiVGOhRueTI
ztzgeKuuejs*O;D^WLVZO`GS#!Sz9^+(<}oa*cvf(jYJ*#ilwWnleBvAY+}i9anMzV
zoq;u0B=vp!<n}dVv@GJLX@13Niqfpz9qCL{+Bg<tA2>4!shH}UNx)>S@roUp!YvKz
zX^{l+f)ko*(XcqHfhKAKi(lD@#8fs<i2Kp%mBGsI`C`aHP$(-Nc6`Q4;iBD$*VY^_
zRM~(B2+!UH>_e7U)*$aA@Cv-iT_$*PdyK$4;6uGC;-cOkL*DfZjNm2)e4;P8=EQ6{
z71C+p5BoyHCh2v0SyN!c7ZT_vXKX8Vs>~PuUG(x<xM_J~?sn%jQS%;FE^AYupjjum
z@<U)HXL284bX_Ju+XT+6^;1h!vTpAQRL>)im#Ym(4CK5I-fFD@8pW=2=$^}A1#p_h
zg4?p`5j!+Kb0^NWNGFZWnq7AhqIbNEvOgx=oaic!F0uDmm%n7?T&8O&$TVcfD!dG$
zA2Ca=ZE4bge1rGpEDyf7Q`L<Z6}IBs1Q`ntT<L>nvonIDEFwNrLMQ+l7M)10I%gL5
zObk`$_-b{laY|yj5VewiVbVOz1)dpCO{-4Wlxdfn#Hw9E*`z7|JpEtKk2Oa+VwEP3
z^P9@-S^QW#?uE=sB?d9b6V~J$ZNizT|6F5#+XiItjy&0?d^?Q?)`H&GzD2zvkY;)F
z6>$cJyPO;en(LdAi~zytGV&;_aH{}NQDL(;zc%7M*(vsjmg*dz5hL=vg-aHTE|UTM
z#;i)ox=}h55|oo8aB^B^M=<R+AiiYSWoBSCUz^^gA_UjvOXShx-i29udgd4%-`EiI
z&Ld%eAYyGP-?3lEdzD6%eGYV;^vkpxO_UNDf?y>OE%l^#+&~1om8i>Z1z;w`ycRJ2
zVU+wB4DiNy6nA3Zg6uaSW4J8IDW@%WPs`a8PVe~iyu5R3_U&Hz^`zX*xB9iyCZBD;
z64}D^vw6~JpionkWey1!CpjC&XdfKPE`5K>223kV_7uj7MZ4cNa*ht-g=AiDWOskA
zEMisTN4rjauikj^^?brrI=2ehmDhdqvxinj)85C7<MkO8hVRORWU~m(6TE&6KbKV)
zq_T9`S3Xlq>pAFT#Cz9juQwhl;zc0FTSaZzsN+^@AwKZfL(y_hEqzYh#%>xYy}$-6
zacZ6ui^j3o#@7Edk6%`~NcY=|#WeL<q}}3X6?+0-9lYl&GN$a<+C($vqxV*1Qo|Ip
z+Wl%-v)b8|yNAi6bwAcw83j1*d@eA7froL&G`-(Kl_ckr3iZ@j|CGx9hy8kt0nA7^
zYa|^<i?ZJKfje{Mo>Hhcy>nur0M8zi#3+m0oF*P2KFAKMN>?CtKASOW_8J1;1B4`e
z76r8V;tzCTMqSHR3qNZw!hCD&WvjV3uNzitKu}NE$O_RE{>)&Ai^5o9L1sTgDvmkH
zrjJEa(2_3MC3=fbcBGw74-vKC6hzzZuIUc>f117HtRkO3*X-bpK?85X-jmxjAOnaE
zy^{^69hI3zIvGLl!7*1(r4-gcmR2OICReKy-Fn@~IMptmZJC*2KNQ?%PtTe71FASw
z0mW3^VFcBhUe!Tqdgre#+q8N*m;(Op6m@|QorG`>xZX6lf29>F1PDa|QzpQage_5e
zPgXCR&9b~<>36m!0}|V}Um`-jcr9{;TI@admAv_@i|n?9F|z96z<J&8CZnLAc~XKT
zoT`8vieOUwm+7=^dR@6v#w@LUNe$w5@GwC*y{ZC5D}XWX&D@pL$09oI>G#rNCe_&Y
z9hb_j%Ftv>yie^mR5$Fm_iM)eqSdum`U(2?pxavXlaFrRy_l5~CxQ29f+$aTBvbxj
zk;jLc0vcp<6^xj{*HV%sMN=>1jG{>S7Q4dU8vF`=K69kTL@bOd#DHd~pAkRhQ=y^x
zPcTOj)~0xRzy2+1nCko9z8sJMlPy@Qe95`!8(@)z2IH0DBa^L2TgZcax>E!wiqX$f
zUeOk77QBB1RWwKTgaW0z9wJ?l4dN|o4i**b!Z?1YuN<g-r!j{a0VKSF33&&fWvo4{
zV-wg~Dr&`GLFeZLxa`bw%R+;a0qvRl<XY|2RQN~hHzjd&^ub*Xw)fbtPyyHWb2;vB
zVT}%PkYofL(<1G6Vx_9p>(+2d5A6e1bhR>9KFp_0w^y)E2ucLl5Nv>x+PX6+0*`qy
z0(Rbk29}#FmRwH^miLB6OuvR7Ac=y8dE9s5ms6ZMxqU{H#*_S?vebyT@4k3qm3KEf
z4g&C$)WOl`M0NWnWG*ZampuLL=Jwc~smco8L)PzD^DcDQD>(fCYCFeBHaT=DR2MeS
zk}qwZbJVD>&nLy)<3@MMnUh+cnq-4UgUpl9F)%(vulOVuw$(V_Vco3wd2Lc;OtorW
zYCC%Y?_a)6;R?!b2>_hgz;ygSa*m14xSQ#Mm6`PK?A2b8cbAGwGxT^&sx8Txwrow}
z-?(N~yWd#-Fy9znF6^Mn-)JXJi8D{<Rx8X^{Fq+0-@N_7uJ`}SH>|Bc+rIh^8c7qX
z%3>hyOJkkH`U^z3GR0i>I>s#)>l&@Ui2bL5sHUitBW24kZ<8e_^Fy>XH$x&#7fB#B
zCJ`@w^x+{aDRV?vu4(>dC$m~IU(ML7ai&;CG%ix$<@qW<YV13EYP#&E4}TtSg<Y^!
zRprL{iz-_5IfUc76ca>63Zq6Jtq{kk@6iM2#snBp=VbcniQ*4IVNk1bsg<AA<;WhQ
zuCrJiEZ*!tJD+xd6KP7CZob+nkjXg?C>3L51xk>p>jwB;xyLnYad!AS#NVi~liN81
zGRf~=b{#z~rm{(0o*+gR-F$mZ4*f&Y1|lN;t3RhryuY)fhe2qIdgS)Jo&kj=NN)23
z*cH=5y;bR-i&)XQ|6E0jvnDG^L^C|@M*r``&@#K^$fdpPUiHf#V(vMt>mbMr5?|UJ
z-e7OTwqq{H**r0^zQWl-1jO^gH6aWb*kLS7rkAC#ie&WMxT-P{KiQO6BP)q**PTk+
zb?MOct=&ki!>AQG8zcKpVf{+)QAEqWI~AEmnNbC&SiD&Y4St7=5qab@O}Xvs5vx!L
zdg;ayovCb5^$~9OQDvOXe%ch5C!>GtPIu^+D7PnnqmF`7$O~IbE%q2M3cT`e;PcIP
z>8FP`>WXMg=Skc{*@Pfj4^!}?8e*F<X1dT(@V_*yrfsR(`Qq`SPi6l+q<A4gBPAq=
z3FQ%y^s_Lk-(M{bFVPv_<D@v=;RGKSW=}z<-GdptPq;uUuTn2n0QdObb*n3e7nHVg
zzsX`de8|sh4w3x=-!^BawGk8pF@kYnY9(AF=ErR|1pM{Ar;&-R1$sXdeFnfL8H|y2
z4`#5z#8>6?gVZXF2IP`6M<&IZ<u<oVt2n=KrD?dajAbz|M@|-hSgH^pQ{mJ?Cxzql
zJuShqi>Phc>ZM6oUWJ+aRI*xb!_8}>)3gsBmu#&GaS#&<6Oc~vO0v5Cm6ixQN-A_e
zXjsrCjIc3q&SraAZ`<HZ88W6mOal&%>L}2Q+b~Px;cd>vaG7pGvsq^EfH*?HO+zX<
zbUWq$L)Uw?$ny-U2t3Kfs3~s{Mfc?hWF#M0lo^SooWqYsLx}$@tHUJ;LSOm&c1t0p
z6^oU~Gt^+)oJbs|?9wC4>gHVbmfiGLJg(opVHo_ZuL#&HN3;)5q4rwl6jdptmfPDr
zT8rkx+K{RYum~&}{nU5so4~gh4v_h<3#W+%Lwfvh8P0SWGgCi$C8ee$#MeyCdAcnB
zkEL^ts`P)qes)c^r<!WAH8t6`ZA_fpWZSlF+s1^GZA_iXnx6af{XPG-TCM8b_Z$1#
zd%yhj$3~1Yjag>6bY!YvW^J>QE(`lN9(Y+PG_j>hmF$TE^wR?LEPwbpaGHSEf0AoJ
z-uq6cD}j~KguniskI)kf==z(p`DF!GD{(y;%H^ATY4UC-3Bbx8cLh(#66d82S4a!*
z+M@@(nrOQJ9!*S{Ty3~;FK}q0xchqUSvdMqHa#(8>xa}J6%qMO#>F5!6hZkwtL&_x
ziXB{{Cgd{t+|EeX@f`r^0Z`kheTlC#46$Lr^c6^BsD!Bm0vWO@XuQ<QRjLu7Qroi<
zw+^5;0P0sKWG#OfUUs(y;FTvlNguHjmsZVX!R-=%`KgL02h`cGH4>?p#-QH*Qm|8*
zl-nl`l18GVD(u&O^`j=x3`V;XWBD6-8Jof-DRVdbx&Iz2@nX7PK99A8=F7bH1d_nR
zh>xo0RPFG-s*}R7Ng`dy7QiBnN)ECGE{yG`ZP0*ulm6m*e9m5N7Z8c8Qegcxihp`c
zahZ(9gzy+XYcH~GTE95b4K$Y~54+HL$){*Osn`hf*IvOFy&UQgJc8-hW&9w|eL9K0
z00Rmx$^Uh7<;3ut)$Fx9>}iO0r%+I%Tgr+1e`gHOEC^CqG)&}e7AejtzuBjYnK}OE
zNWr3rpBSAbCH6!bB8z}f!t&6rPnZR14;B>GIJEVTCz2YDbaMh-5a{#vA#~;-fGI;{
z(;hu*Z%xKB0aDN-viL4WU>pczozrxT>EXDMXy|R0!5HYpfyyW7v^|j3_jXa{kW_rl
z@nOPOal}1I&k4td0i2(DtCmg1noGwk8rW0I*Zrzf*aT@(&PQDPDK4ycIg&t3!o_~B
z=xONVvFrVl8KOq1t1-~jSjSi1x^d^Uwf5WIp#cwQ8UX~~R8kRy|IqUGALK+fqcEXK
zFhZm%3@W8;;pH|3K0C-x%V^c&cF-tvJTck@gYlT-_vFka3^eopgjB$c>*rx1MlKBy
z>3vfwOU^i(j&&INn#`{vqKK=OWR>j%6c+>010?+%;}SLh>^g&P?hvM`t#2yLaACPY
z^MG&ypDU|r=l*5w=(8g84-Cx7?Ryv#<<nO~l?EVF0gSi&VoioSbP#yG?0Wt@d4Qr6
z*bwWQ{L)XZ+TI4?=u3uO6HKc&(2!+2NXt4q9gAmE^~zy&dt)-&$pH&!IzV@1m!iXX
zK@-#$+U6nzQW_G{80NqKLyw1As>`%0GU<}+aYeaAmlCkmMBfps(7phTHd_U&m8~SL
zB6^oE`fK;^YB;G$;($sFT>?{ZO*!9De=%m<Qj&p)I1t^rNoC0xAtsWRdQ53q6)RQE
zpjS0KWBVDCj^bu(%w_HzA<*U_qa$}jE}<(bIlw0?$OR2ug`<{9_Qy({WQf~Bfn&v_
z62mWp;=8g&&f0BBnV(}Rui+XbpKxVnPWYaV_|{Kp*FoFaN5E^z>Z953Vuj(^FtObo
zCF7BHeJI-;4%!2ZFgO*}JEGFUM(nH}i-_}$!@CO&E)$cfGohl9>E~Q6dSR7p#f%3|
zfHW|@tjFd^=Mxr)o=@Ou1zVYaL5D`kE%f%*2pkCqf=`ht7XC}wZLqAF`a2Z>Cig*&
zRqOK50nzX-U@;*3(w<cuu8Kxcl8D$Q07PF-+t5Cf8h&j}48#OduCV%HxHCh`yT78^
z5Jicl=@zVCLTcjB`>Ffid4MJ%4>aL267oAbwpNq}P23>!)t-jz3|MGZ$O#x*ynh@g
zzzxnRgzu|jsjWLro+q1rtH4!|3pp-t8W17^{Q1r_<i(AS+@kQH9P~E*7XE9#FvYv6
zYwrYSK*gSxG0VGFS(ezmi(;jl-~py5N$EA0T9N^+=-dM65CCBB`p<8ZZ0J;*0f)sV
zP#7}w0o0Bw1sX(383?(}FRv=N@I=Muv<^32kFav3A-h6ggadC<;##HqBGf80Ha20k
zc7J0-rlUl!Sg!JlZ#L7&PsTq?J5YNX-2?k-eB|}FWecOGgYM7?VZu1|Fr3>96R<pR
zl6AQrXEz`VlLrIr^mDs8z(7`O99%gk9dj1hof1F7+3V9&*M<7+lTw~|hk93{dB<K8
z+jvJmz>v5gpg!da*x6x@+~MX;5A6^3lw+6}#Yt?uyHx?2v|+4k?MAL&F){<XBy3Xa
z7WB%U!#c+U%GR?k#xGUr%|hbSZU39z-!<DFY5}voQGY;d3!;Xb!|Zb43b*N2mX`~8
zMmwCIwrpF?JUiDDGKB)<4pxKeuar9j>ikL$X(Zfm+%scwkhZM7=s<T(SDs5T?|<v#
zRo8LV6oaQjdVmkdRAiLIe^zCR)LijN;FRE0$2=;+bQN{|O5rtgU}>b!$7V{lBL3Mw
za~?3q^f<DO&FHP_CPa-3F{{k$fDLc~9tiM*9eWb~KJ!6go&V!82S7E9NqSH<j$1!b
zXn%LuAwPVB59r!X?p|0?>YRIf6--;_gL1kO)Y&QatX+-JTKednK+0hc0NQN@%tr!e
zwK}p2R8YNfRP1*iIx0<+5zN)e<TdSwXOuX{GZ?;?;<+D)_x|QM;lti4)eh#7{d+UG
z6!=qb18^4KxaB)T(@{Uo$IV;YwP6DZ69A={&0PBZq-FX_PWId=^E_JcXcB15@s82Y
znw0jKN%xL)N<}vUj48Ji%E6cvKsjQ&!}X)!wD(%;)8^7@wI81NL<+jB%EBA=f)I3a
zxL9XSHvNgyasqdn0+kFMMj5ftC?bHQl%Bo6hxJbejyeuszb78Qcoq9e+7v2b_+!%g
zVnfmXW4bSGQHCuH&HfCb^rrnRz_B*oK1{jn^aXgQ&IYhANRTMhiTDmMlgphfKr>}H
z_n#|?3QJ;yB2py4CZ_5P(weunQ$mOc8rLqT=N*=p*}$^fo3(K{GbfJ(m5T2ZMT_wF
zd~`lE9H1E{%8^faG)Rl(7t%!^lxy(p{_d%H|3BaQ_Rf)maxcaI+2lA*ZuFMxpLJ;B
znIS2tByLfLCK?R{|ErA*YWcaSPf^lI{tiHC85pU26*=X5uPaa(yc4u2O>Km~#iSwI
z6u6rfCqn?#9BM=p1_&UUa1)OAGYSN$`tRmM$U=$@a*P6@efZ<uUISerG`RrgRE$)_
z5F>b$l(=2(Na~8!(@)0gA7O=-HufJAdkC4XznqitE>kspVhudnhXA%vFTpih6sg4+
z9Tv??o{TYv)k|)K5~8@%Riej_#2DQRNDKnW*@9)mCNc9$VP<SZ3M+9LMqubDRk0Mf
zBN?HN+{*^+A(`fYP6V*HZ-{+5V_T0AW$C~yb3nx}d2r)M-%fy1Hx)o0061OXcWW4?
z?Z=@nM+`#N**L&9#+ziH=9G#ozUjy$Oe=h<tmiJmlWde)-xDSAld;Of#<b~WOP!Jx
z4^zcKiAqD=!L_GB`+d_w*8SPbg{i|;qQ#3_BV$LUEmfvKaLi(t97U}a6t=-NdVt>{
z$lb2-14+9h7F$M9G*VjLXAu)o3TY7icYF+t3RXw5RQSGD)j{3~lr<BC$uJBPid$=A
zgm^OQ76rsIlGYgQNB)Eiou<Qy+^$37AO%cro!v-nkqp|T(2wo1j=BELw!wG@ND6<^
z@Rw9RF`-eL=egf06dG|yp=DYWS`AbTbOAIi%fw-6mqn4&YGYIGbc6v_e{sJdi6H*Y
z{>+^69lKJ_NM7B#cg5|5^8g66wkn|fgl@J=Sgn#MNQSRJ>!d0H0-E@8s&cp}Xt0!q
zHHPx7`7n_keT1L@dmAyAZwz=WyvNsG#1FQV%nu>d2y;L~3~>7cf~siLPd;1qo^Fc4
z$@EHoKrydf%>QcVb2kwH{0N6eOpvL)HcOoMvc?1D23Lnzs*9Xys|1pToV`${9%ZGw
z0`#0Pa7pD8(W)Q02(W&Z0V?S}2rN;Gtl?-}N6W5pqEu_$ll3L(S_F4E=3~2)j-WIe
zerU{_+7~WICyzNs{A6cu{rB$#1psZ!{UG*06E8bBFclhh<KDEwp~H^Kq+L~Su$nDl
zz#B;%FR)?5^O99znOO4FY(?&jZHxdqWO%V)g%iz)<GmV$IXzeJ7LamM+F_!mpzv(`
zxMFaImaIL16{xjx5-<|^HaAmLwWpshPhS8OA6^C4jH*H$P(k|@++3q@C*Q2YDAR%6
zEKe!okbs4_i_?%Ya;G*ReAhKa0z(DG8F&E+Qy2BM#(!P1l**Cj5+>ggv|48?H{7lZ
zbpEsy&N6Uw=lM$=0{zA_j)1h=J?{3}yp$CfxfufmpId}b<gh4NcDDE4h4x2OC*D-z
zthZ2&v+XOFE`^vdv5YdM1vNRcit<<flHesjL#C8SR!gXi*f}sjK%pMJHAnN>VrAY)
zi@|JAfc#3$VsPk4CtP&4*VZN<%+KS1RETcwW)z{6EF<3W(=a5PfozW6N&C$wqZm7L
z6%R8|wz|T6#=Zb2S0%7)%GUk4xy0-Y4rr92nt5rcA{~=2UvDi*4ri|=R#c&*QtybU
z8bb*699*&6GZ$$jXZ;#%rd^@^{_K*Gr)?L8j;Wdx<gn6N3-pD+oVNKi1E1uZ{-)IN
z+~7(#_2(rw1cx8|@ICOd=()TAi?}@-Km~$gnyj0;sM1$zU!8Q&;c{i27Cm2z)ukf9
z3`4*TNIDzO?XaMZ>Ih&$P1p>BLOD*-)un|g5?Bjj;B7!ag?GU<u;Xo<zqK0AVu`|)
z@=A^luZJkhV4r_CwDjN<!3&T~IQefM&k0pQ`RBaIqua6~c%JwdP?)|mY*|V*$dOIi
zuPzyA>3d|WP^-|w{hDRX28`org&-7wkvn*gHli?PD(ycegHTM5MKHt0!j!Df3jt+l
zuN0gclr1}r%Ug;lnn)*(RN^lROo`u5lv-#3I>Ce*wz-Ty4Z(j0Z=jIl)hX~5{FgJ?
zel~P|YYfRA+zpiKB_pDX+yGs~8=Hc8|K;2O_<^z02J(XUp*s_-1dgYW!MdZj{3q_M
zn@fb7vC%c4YE>{209rwTgm+c-T9R`-RBdmavya9}J^$(3^>q35JyKwjseWGJ<buwm
z#gq-C!Gj9SNES?5ga1C6Lzty$_-HKOAyO`|p4a)F<uqdFM3F){S8&Qf@&pXg_yD@G
zYnB0PTeYC;^X5$(>GQI<uM;Y6$>zjgd!{=lu>ymfGPxsE%qu;|2%4ebhbU+fbcApb
zW!eZBD!SYqqmtE7`Vo_AqE`J%hN)lwTxx3%nnhL|+G`M^)1LomNXv-Q0xi|D&Or5n
z1tR=GArCWMe$-z0KfBb!q6ucr!)lEr+{c1d7%dA~<_`v}CjWIYIcEd(GvINWw^184
zZ!mU6x)i5Pyl2a%?83aDpXj`t<Wsrj)T>hn>4f5!L0IqXcfbm}Eq3Zo4jT`KF)duh
z=7VDhavH^-VFMbjA$CQDx=-iN(*`MxJE_F3RsdpZCssb_Z=M=Ve+UxqKUNu*82QpL
zoBgh<Q1}zPUff~{y7qBRH9Z0>9cfc3;d=tH09{&GGF$Iv58wFT=mD89OTUhF*-8X7
z*8+Xhc8yaD2>5RFKmFSC1@s_>nqNuSnDmBsi_1UV=1PEJDTdaM-Rc$|p@JSq#yZ;}
zN_WsiF(p2mJc`A5N9OcvZ4ltR9=kX_9Z?u1<;Xo5DV{9A&M6HuSd`pVW>AR*i_nDz
z$5%FV7Bs?l$=B6mjL<D&4e7xuz@v$rks}dv_`ui7BHJ!U7J|QjZKlS}!&CX{1L#NS
zD)v$Wt)5dM!$3vbgotnFf1J|gpG1GDDHKw2R_!1F8Tixt>He{Zh}5Q{8dFR1<jcFm
zm<K)uSNso)qEfb5i%T$SmT4upa)ecPM{*`qb?dd<Bt$BC9#+MIX!Q;82)E!urnW|m
zk}+jUsc@4PSseRF54TQVgbu8eKxs!jCj8kk*`%v*ofo@{UL%0IV<Z?zS^5x-psP^c
zE!p1c>Cocv8n*Bt+ka-(&5m*2vg1OapooBhhXfH-9`o=o(Wyl=ll#h?4`Wv7_Wm+g
zt#|Idk~I@LTFnf@h5|g%-;`&uQNAH5;$g3de_Eyw(UjU)j#;9g-drpvN{Y4~Ay<P*
zl%0<i2o5M}lDWT6g-HIre_uySFI#6TZyw>LZb2|8FdmzFt!fmbL{)XQ6PJ(-`y9R{
zHIs7k^?joQaLRWu)n}z4T?%MwzjS$<`3Z*Vk2>KjxIMXOkDke~MlHi&LpXF%bk2-D
zG%`#|vDG$8Hphgi;KceaqvbYd&9nn$S^KY2-)Qh`{;o#qbzh6abCdSL6?+YG0rlHR
z^i{F*YhP(2NfDGa1VoW~?@b>y$N>a^xiK=6-JqNu6_mc@RW1A<8|!ctTWKF6>Pm!h
zmz%6C31PH<K1z{L5T_Sh3oe;z0(d}B&UDzj!GA5Eh3+f$PkRS;tmD6wZJDM=N`cbV
zY;a@jO{+<Kr4;>RRp>n{i=$Wa;i{qkMPh2@j$KLf<NM8W_om1VDP)1|yX*`HOOPUY
z9c-M-+ysj_zx2?e-w3N&J%8L6d6hwA(on6z$JPL}E>%5tp=s+@cXJ|8fZr+TE}MXq
z<5<;I3FUwM8rl_4&HoR3P>&V|=E5;p(I=k5<y)@IsyMug_<qs*fz1~j|6OzWnJ<@k
zfNHO5nSL;8G3CyJ3|w`h)okd>@z&6ldzV3a!)ZhOKY3FL-Z&-@J<B2jO8%};YH<+E
z$@fH;VP0mouIQJkayDqicSLlUOdn+5GW@y;INQ4lVMItbL@F%&SvGWttMQ?e3phe*
z@R%{KWyOhVBu6ot@UAjMF*yM>#jZ-A6e1IX>k(3Z6BaTj$vNZfh5XF<16ylwZC(`h
z$bKzRv&dJ5DqvQ~K<LR3_f|nvapb9#`CsVdm<}Ekh(1Pb1>*oFnQ(4U=G0Sc{N3_A
zPZQWZoB57k&|Wp;9a1cI#A@T$`<D4c5TE?@(D<y^m#CM!f~tzDoY!q;4*9>rUeaUU
zMn>45%uaT(3qQ<sqvz0_MuCo4-r#tk1ikyZZzkkQHQxFnb*+M%EA2wz27oPS4fsW4
zF<>qW9IB`s!rcQX<Ys`hsg{(W-5r3v^b>2RXr#ChgW+nZ?!FzvWJ56K-a;Isyk_ty
z!hj$da4f2sQ=C7P-U9vX|M6uxU;$uO-Dd!4A_7R`qv<2`nR~5OY(kg#Uc|{+8(b+6
zc1Uw|K$aZ%Bo`hO@@YN*=USFSelm`vjRV)pQJA&{M+tPLz<;K21mbDTdoSD)N{ldi
zZz)aPB}59Mtndv!-Fh&J{BRg%)GHv8EFi?w5D<4}8f!Dr(tf;i`knxu-3xMwOc!(!
zAp7UoVy?$(!*Kuw{svF>N>QkZ{>`LU78s(oYi$3_5_ITN%(CpEYFEmVHkE(zV)_r%
zrg7I8!rJAqdTIJa7x1gBd&(B?v-Wm{ad2hrD6+*;Y0l(zknT)ghe0?Jm%NpV&2WDv
zIr?s^F|lmA%L}8aDL-u~ZOwjIZ#zRX40P!MhHyObJ)l~3-@G7$50CVi{#ODrBG3n9
z-@ePIo5*TFyNBdvLbstPBf1VHLL1f8z{#u#TLdG{+QzxE8OT6&QNn%nniJX6;nR~3
zFo}tsCe@2v&XQ@R2FADOB*99w%2GhouvLxW1+b(DLd|J^tK*J8deyU>;$5)idd0GI
z7lgYNtgMt2C9Oq|q+T|yk!cL=XYeD7`*`E^cZv|JvsIf9e0ihX5&x`YKm7IZ^NRhp
zdZM!>6jqgte15K0E8}P#Islq?{tvTPGv0K#8~Z=v1~}in5%N_0_!#}w9*~BBj~^)O
zOO!hb26QCuzu<yjKH^g){qcdS@<^HbN!iHDf+*toaDt39C^3%KWPVX&mn}j6<wGXL
z8XT(w(N)SJQs|ZFpda;<QOc??P-?~j38-(IIUcBOMfd5Bo%h=d*|rrmc7mwa^yqDU
zFpD<jm;wgI<XpiG$&PM|M!I;I<{kYx8VhNA$zK-KQ=&7((jtZMH8WT~Q4_IJ00%i>
zM+|~t$vAncZQ7ge!)t9;5&i3tV5&!f@0<3g8drcugAEA5Q4CW;yk`g+L__CmttR6M
zD4el-O^DA40v@$zieR8p=D&NU1<DtK|I`P&%zItnG1{vN=LY0kfYTvd2%j7D_&znI
z$3-nAM1~0zHOw5kOvrIWHjQoK9HD06+^dFEvk-CF2*CYR_p2)(q%SU1JzTQ)%qGFs
zJF*o|t#ZaMB9>)K;jiZTDr&&A;fttTH^yvFgG7;Vj2X<ZQ&fOEZQ>_w0GUArB;Q+5
z^+ng0Vokm24*-sIohWB0@mJ&yJ12u;0t;5r|B|li5t_>mU8));1qS-SR@tGzKnTm9
zKTa-;tzD>4qt3QKtYd1<MMX&=>+QF8T!mc#<Q|o;hI*kz@*_+-3gtG7d%cmkFoL*q
zI@zYaA)ic+b#V2$wyg$Kel2Rx{R7_Ggg^dPrE;D|K!n`&2q)r{bnc|7qFQ*|+o+;S
ztHPr2EYsR7s~(`gTXCC&jF@}HCBz5ERY9ts21FP*2N)a(@PHzv|6%qx@}U2JjA3eE
z^AJ*y`h!McIT-AaNVyEz*Q?PCP^wNj@>2CZCbTGE@jRU%r!tWC(o{n3LPN2OE9qKs
zJgq|iXv?(%wS+A!!<*Y?zf{C98Ku4#A>3^ZZIqAQqPUxillELxAOQD)r+dGEY(yTk
z5oXXrmC}VCePzLvNV&$&&JH6>l$#thAUB`^ffyjp?=x3HjbodYMFw7Src1cEUAk-s
zlGSZz1tgv0>BDKl-G%*N{YV8>^U?H>XWnwyxCs4-5ogu*m!u)LWy(!CshN)$PI)z&
zqikfySV^I;B2v=A!Wz;>FV1F#@tE!<<v_M`e^I?zeOVye0*GV9t0Y8N-0uG#2(h{5
zdiMGF_3*D)vaw_eZ6q}#XSD0IvE%B|SG|~)E8brdO6m-8cPNNfP(Bw1RSfb45=IiH
ztXgOQQW%{U9p;4781jt-hKG_o9$ow1w{2$nw1+n*!@Ax+>&oS=JxnqwBjK?W@=+q#
zGWgZ{GX1LOVcpic=H~oq(af@Gh=(5|tz$qlkGAV}05*%lpEf<xm)z+Czi}Xxe1yVI
z;5xv~UUaWRTwPbKAclvX&VmIJ!OUW#nT7RFGc=0@C>}y{QE9_!*?u0*g2j{^Dclw{
zNXO<AIwuU)5npR1zuq>N5`8mHU*<P$y=hytG10C=HME>B{Zd_5tB=OD!?>1THnYMm
z#o$-xX->NXRn44Dhc1HO(euY2*Q~zNg{jM1d=<sBr|u=&`tq|L+kLC=6*9;@ZtPSn
zZURlL>=;_u&q&kzwsmt#6{`B$_6AG`d-@4M<>$(tjd;!%afxWtlJck<v(zFKo}mGT
z310}BQDGUco)5xLevEI}hF_lj$6^$JaKDA1ozQAq>kw6(^ab18z7o!Q>oF2#?{Fnl
za4@16<ZSLthrmkw>RpYuwUE8mG$SmNq=tPWla}2zjbT-q|Lh+KiB73BFUES{ng202
zb$Pq_9t=+uTCXfcGA+9PjW1w=g^Crb1aU?+_Na73F%27~kB1(-Up`!UelzsU*Shj{
zynNZTHp5OZ%lqb`z1PM4mBAJYjuZPBi;eB+d<1(DS|@ar{_jw5TMODn<xuCJLdS34
zFRukOVN?t>o|vjFA*cx!e;ct<$Wz#o)M}ufubAk&S@Gc|4Y6_ac$zGn#eG9_L()W=
z*LFPUE?Sg?hfq12#~k_r0fj|3P7)YV%&I{KK_jC-+z_nSm`B?Aqb+CX@#Mm)8~nF@
zxa!+_fc(kL!3d3wGU<%7kLM@Ut`ojcIe!1ytEi-jFJ&Zh5>mcpM`@C<2E=K7PlMO>
zMoqRT0mHueg$z)e_nT+~NHwPfRk~r7XN4T{rus`*#jVDX%si}lDQ0MH95e2tc!*+W
z(2Q=T4YiD1IWde=NdB5g_7^OAE0kKN7`hHAA{<(fQbY;;!!XV0{Am7<s~k*hvtM}M
zXMeqde_CRgjkj)ps;0@n+5N+LKJQeHc2qyo!EFd<-)6s2a3*4FA?Xca$W3cv(jZ%Z
z8&3FR+lyzOxyiN_zEFdb#mZ?Ll2YOz1v0#Rx1p9n!+2{Yk|WqKCs|8QC_44rxAsvf
z%vp|`RWPd{-3!$8oV}4HG-_lWRG{EyQQq%EC>J7l43>sF!j)yK)&%hAoCtXXH@O^5
z4j{&8ji)WVTf^wCE!9sey`Ju>V=$%Ts0L(dT5{L$`(W>PAMHJxW%NauWSCw7rkjzo
zyCl;v0Sk|7<(60-elAGtyCuPC5DokA;9kswRiZKLj9@1Ig$uEaFCk$tvE6v<F3qXU
zB_=Mn&MC}s=(K2{@pu^iMdy(F50K;bftkY9zombg1Kx4k8GBi2T?B%8V_`%qyl*!S
zF+$zCri-hmtvq@2-(LRSo#`p?UpV&IIJMY7#mj$RY9`P3T8yvagP)yEC=kg#D^HNQ
z7DbfXT7SBvhY+u2rDKyrj@dkwB!cvb77m3MMs9A{^W6D?KHUE+!&c5Y2vmpX@#@f#
zf<p5+vsDVy6{_M-VS_fBngE!Q_O5%j=sT`0dw)#HN0BjeEks{l;4S7be7_E=0=way
zEEmkS&G~ZFjLd0HT-J<p^zvkxIL%RBy5PInf^W@jVscXndik<^Vq3^~sNz?l86<S*
zJmup@#%RU~Z+4)`f&9>3^9rpC6ry%oD#1oreQx&`(PsHA3|cLB-K#9pf$Vdu$f+#O
z^_2qDF_JaM+Bu|k?qmq8GrhA-+Bzxkm<2+eM_nlQoVcaSB%?y*{^iPn%Eo!5r@wZA
zX=6#=n*)zR*^gRIT~DRRpcI1>t;TVyEAtvLD4Z=?EamMuz(F3cKx%z;N4*Vy_ea-x
zTA~|-;BRKZVUdJl&V-`*^db}ho(v;2?Z4`MI2MJ+BM7zNFzw$jYk%ZDaq6;m>aa60
zM$hlrw*%iXonE{6tdPHjM7M!B9Y9p&A6K8nZGTk^g~c3SxskZ}vK4{P+lME<k=$lK
zwi|Fhoh5D}=*kjJS5MynU&kx^WUKfO8(ve!ft$pE+g`3VYhDlq{ndih|M&E1`IjeK
zC`F<B1?|cu?m&#y=AV|1`7P%JAuLiitOIfM2tNE|ciM`wz&hxGr(+vy$=mD2`fkQ`
zV|aeb7k0f}bMrm|mz5cv(@Z(jx6_@ycYn4>ebg}7<zR|AX`8%)G$kLlArAqAl!Q5>
z9ZSi*WU<mHVH~u=X9d&dR-%Lr7qS5Ep<8WjuXDLgmzaM=Dhz`YPQ+=SA|J=!T7*tf
z*xS!x%{weFCHR?AR@7S{C#BbC9ytI5ht&hmcOAgL_(SZ9m2PG0<L!zoM^u;ktT!Q{
zzqGX2TgA-7No~;6x#Q?CJg%S#O-R2~V|k5g2xPga7^}@qJnNagv(ny<dNnMwH{uk5
zCz+Q!9QjCk(uO)Ky3w|RR41fdc67q=5<R>%qyzj3VHfHq2OjmK)<(ECAxzcs)4isl
z1`elvl?~;Y@;-(WUi&A%gC5A3Y}k3y*0H2NJTxrQQ)&Jns?E=sD3^~FV&~%oW!W3?
zx1#u?alBODmJ>-j3_vu>LCX}JdE~eR7^knWTqn^`4!>AHH8C|DLeT2OWyWs*5}bfa
zswc2ii>t@p0l6>;52!ESn@l&dz!StcPF*Q{Il1xO=vW=>Mx{g|Uw}QpfjL6~{SXD|
zeE#IURe4^&4x>?s3sI|3bKC<`U%!xy=@Nv3Rus%qT;7(;fgVsN>Cd^E;n(SQw-*03
zz2J%sZBUoVW7tCJ(%B>qt{Q+2Jzx*I`5YIe%Qgt%|HEL`QQ-Bi#U|Iw&ISsu<F9S=
zVASW|y&Z~2qr7ob<}qZ<wE5TBVH#>APy4Qcpidke&r72YO7n$RR=nfvIBtf5&EBhJ
zT%jrFl?~%lD9fcW6K1YIus&jXS``nD<1tW0MaZWVbh|h_lT~_Jjo{$^T53Sr@rCX5
zX#*c&6WdT5bD4*WzU0Y7nN7{J0IA^m?B1szX;1&Uk!pvBF?lkNpRTG148AGL7Cw?r
zMRMd6Z#V*L5mL~s@)UX)mku3+#2r-C=svv_GMi(otnN*(1VmVD&|TL9l}izvusg&@
zh!N}`sDC;0WSbl$4j__Lb!2;#&J~fd1GRCEmJf4np&QFbnV|@rI&Wb4x`M_E^V00<
zpV1G(IxncjC)bKFN=2ehZo6Q@9W4!6qthJRC1<~g*5J{_=E=buZ}ekx#ale<hye}&
zSyl9nHOEOPhPm=W6RTFL?oVfpk>cj`48C493wi5~u`8z=Zc*x6;#aGD=SaVsjG<Md
zSIr0^0yJ+Sb|L%mp(8=u|G1$pTGytKhS9UJ;gSZ$Bs%Q!reg;242k#leGn_EC*v+D
ze&b=vRR;+xFKc-yv8o0{HroTovQ8Ine&xUjh7VJccL6$AJxee9*&f`DtJ~FyazBW4
zeBlB4u;tRLE1_%lU-*-;T5YH{;755``(btay}=#A8f7#3^my<qwS?^^zyH5u457SU
z8ZN885znVi<w}q*`eOu!#lFi1x5P%4q-!DB!M1?emtIB3l#-F!R8$Rho6ocCF^h)&
z(bK9d2tv@oWKNs46U&p{aiB7+ZUK6s2a0c10}6wBIUt!mSLNL!@H=s^v`_1(A|6ro
zxnI?WrX}!gOhRWNyYYM95Z{?#X~!=Kej6))Q>q_FjV+x}zT>r5BlC9jmypAPf~AHi
z!)D1!DXR5wN3B)(1B-<U%h>3fk6JV6jVc;_-U2I>Vm$szn&bBLzQLKfQaFv;>&rPb
zmqt`wi6%qm<H<L0R`|3U_FP2*>^))JU!CnyFCrI^#+sn|UQI&NBo&)_bxwdy)3L>F
zUqDmF7!!iY!St9F)ggAQ=`hzJXY49dC&3(9I)NyA)`eJzjh5KOAy)la5^mw`->^yn
zt^?i!TSoMa8=c6jD-1Nd%`y?6?%#D~ZbYL^j^@;QTngFs!w%t%b^avnjN}KblIBs2
zBnS*S4wEa>?+Jz{gNUqgdYy3m0DwL)!v3TlMLG~I|Dl-$EI=2ac{5w&f_4!phYgXq
z1-u>nrisS7D;g^0d0|>U8@$~em5xOFH3ExI`*({=hOM&)TW%p$>d0JC&%o<j<UKj>
zLmC!GN~`6zaMXHcb)_1qvy@ZTAz_O>=N&S_Fm}c;<|=84gx3m+83ERsZS-{JoS%^W
z>CLI*Cd0K(Qr)fUX6XG1n00Qc=~7Joik4B7P!|=n``$*_b*2-_g4N~)tHW|u*Fj(n
zBMA{YY>DPJFDIW>14$FGHYDMyjY}$n_`gWUSy6bef4wbeS?h&1B<L#&yYGR4k0f@2
z&Yrre1rtdM_h1f53$;ER_xb(q5ryPGGkd+@?egLK^MLT6gEeGIi51E%(B_@+M$PrT
z-$6<oEAUvlpVDkw=Jhu9X!}RJ)`qz)3465IEHu->Wh<7)Jf%^l-4l?%1&@{fxe3cJ
zX_<062k`-G&6a#j7ALH`3|;oL3-F*`t3Mw-KA$B94|S+?q#r-MjKEk%y+X$1ts5!b
z{M>?jXT*a&+n5!$Mq=TyW+1@M254@McLkv+a@@jG7UT2Ektn(r)bEe?nqNF#AGlic
zRtJ8W*2OT6R1f^_@Pn|{@7pJa=2wa`$GCH#fke+freV{4i5@xejjOqR8rr~VU}KN@
zVIcSUvzTqjj|ZzDU(#!LwV09X9R~1$IF4Mj09%b?Bkhf3oh1){rohCDPTP`%fY}R9
zMx-->0Nap`x@TRCCz<YztHGt5%nk_uhw<km9L%e>1jNmdU`Ne-n!FQ%BFkPBod~vq
zd3tJ5c}Wqlo9&(+CdUsb+Es1lXecXten4rN0e*k?UNO_N_H`zh*BntI2wAx6P$nN0
zt*kI8i3}#w{QY?SnVQYbKjwf<-?=$}0;&9c+N+;GY?dN(-9w4ehhqcv0V94D4#U@k
zZ{~~H($U#LAtJJ2&};N6As5Ui*r8yo;xZ_#HQ4*NRx~ez;ZPqpJwbl^8qrbb#r=~i
zdRz>JV_1W{x4%*SWTw#pfe@5abKW{hDI!Z;vvTxei=Drj_lF<RoIs_mS|Adxm@O#m
zW{q@QnpTu1>s+5WeON+7z2u}fVOV|M^;o(0>@v4QkJb&bqj`#f;aL@oBIIM;!($XJ
z$;SfAf5C@#e3J^q{t*YFBRhL75`6WgzR7-BZWFh16rc*<<}oS|j2unczS=w?v{Bgf
zk25p=hfJTkS>8>UE74xuq`_S~;SsWu`xVO@?}pYr7K@X8RjBUEa3;$ATtY)E##w|~
zZkxk%Z*WYaQGp1@s5Im3*?j@-U#+U!F{bY^F~;7vOsZ72*YM~uE!_Oq)+7~-`i7{7
z5(j1myRHg}?0v;x;Mo<ET-146-r%fu(~@)Xd3AoNCS8x?ES&Kv?}t20eLQdPPP0(o
z(gBu$n}^QP(le2Gk?7PqLpevbk2_aaG?Hy^I~&<QLy*{q!*P|Z-!ljfGa?}gHDCO!
zkq<?~Tm&1SiEIeAancp0P@3j@O@?;V<-;bbhi$YWPc>n^ada9cTv(Lb)MDiAgB)ac
zMx%z4w7D{j@U|@-$kty3e6B>RHD|qjJ{)4ymk01;m=(V)NVBsa-u<&(hI>vo1-8Sg
zytJpYO0-KhlhbTiqno=^aBO}xuQ$QE&=Y5F*h*=!Bwffza5kg){iAOaEE&HRUNagS
z#3eoxh_C`wqUJU0<^h)?V%L!PD{UHD1(P9)Fd2o_N^&<<BYFCS05T>Dk#)SosJNwb
z(Z{-+q@_j}-+vy$tMpzDDtxGgNgqB}UAoLp_p?pj?yqaDp0UbCtDx`38Chnoxcy=<
z`E$Hs>RSa4v`U;3;-CxPyrO+@F$~Yv=2$>Pa(rA+n5dBx=w3_xP+^*}9XPk7<&`^0
zT1G&6HqpSDC0P4-a&4{A{PPsB(*l9g547|J>mUeXIY_?U>d;|((knIYg>Uxp{@DlE
zUzZwF^$YZY0ZnY)iGOfQ#?}5@ZDgtSqyL5e&i94P?<NT3pn<w=kTiN!%mUm_WSnw5
zm{GPBdo{1wB@Ar&Wk;h69B<Ft#Vpj`-p1D(4eF;bR(x$FkM;ZqY7G`jHOKdEk;cvi
ze9GH-o{{(V7x;+%#kSKRz&MCESP<m?PB*sWm5c3~0>(L?yiy|0a*0B$Gro1WDs)>g
zu}t@bFOytRG*}&Hvuq;S3Vpvdb$rip$M`N6CJS1JR@%E>bR%Z_E~)jp#|byxsxwLb
zl~r|thXJzT&FzhoZ*WNW_S!qAExW<}R2A)UfyULl1<Gt%WFhHfSPOW_p_>$qforfk
zZr}UyrSkQy=gC`tQ4`uu&u2$R9ekhLeRdwHb$?VQC|F|hhHKClEV*k)2s^^4JZ3Hr
zcikeiEKvt3#odc0#8^Mb+CbAG?>ILI*fdORl&c{fNO23642yXkQynErSB@DWTd+S=
z<f-dezz7QqCt=fIe7##n!L*d4m#TZa4yTr(YdIki7i$<p-2$h++`ea!#-1~K)X3;z
zjt=4BF1c)&jAjDep|-?qVFsF!kxkDn#rdH<OQVI!U-`n_znpl1BM-SCJG^)gync_<
z+moIz(*Bh}D@e>h&wuA;KW`ix_tQ+(+DXT2z!<Qg)ooYbJXDI<(sj?oj7}XO`aODu
zCV7HS?>Sq4F=UOSxC&AeY=35>oy^v<$2>J%xw~&1m^t>Whb_w83FyqvmXqZ5&nMtn
z;rlE+DsSIl&8G%D?S+;!B3j-8P@iE*SJ?bhw6L?~@Jq(W%WWNd94ZL&tg9L84K(Jx
zh=YIY6wD*>?5?>AHWYZrjx)i2ps=ug4wC#~A2m%7H|ta=?pO#jO7$J29mYv?>W`FQ
z?%*|&=K4W=RW&>2&CbXna7qZdkq`AjT*v%n@cSl~85Bw1HTCM*zlBagBT=tU?)gRn
zb$uwLB9LuaXzE+SAy2#ah-Z9RiqY05J!3PSBUu-OE1inDkk7<pOiJ_KWa(Pi9{4r$
z+GIHkw{nt<py%Lb{WZiTzPO{(Eh2aG(0_h97U{UhJ(F9}HCXOWm)(y%eHFkJIy{(#
z8N9r9D2<2!9No6MxUg9`{9e8O(SDmZMm}|Xzhb~C*Tk`YpmwPmmf_G5KC5R5NKhJ%
zt>byxxVdJ+F2)u}{wwCP->2R@N(W1ug=7TLbT;0hZ4Ha%7dzrE-!Ra5zArEtG_h@B
zGI)OuUFq7re-jEp_o48V_txd%g_4?qka5-XNAGEUf-TyqQ)Z0vk*C=A6GV0ils$|-
zmc^=N%->H)3)I<<@9kt0x606^g+@>82n@m#4VKPN0$|pM?_yxWyunr59@`r7e=(1o
zL5PN?w9O<F)-{!A`telCk$=kt76X!nNB-E{R6pi@xax<lXTwmk<)<4Qe6s|Bd*g(U
zS<$Na#+jE$ng=cYZ&V3qF+P``5l6}$Y-lzax<MTDj4fA=Jj;_Ll}H=koSR|lyL|GD
zbF&989>JY(yUEc{$sLR+N7Na}{Yr4?GR-H4wcu(F!%($Qfl;cLlN&Jfu0s71hJxhG
z@>MeT%;3MHvHFG5GRd}qrWQzF?k{io-`sTS4hrQ<`F1=Fs=?{Zy@e`FdR*2&Q4fvM
zkaK&pf8g-YNcIj)`geJuR4QU%DA5!0O@19D4UBGi357vK=s>1b;kMbbd1}kCb$3y4
z&pcBNaWh-?Sy}s^a5;cb|84wFp9ttUQO1wa{G$4{fX9w${Ob@n?@;0TlIZw%m<X5!
zNk2r$;kq}#j(s0~<kb2hOBl*A@Xf<cN?(Z!e!T>Fva{@Wc=0wQn}tNdI6D+RJ8TVS
zG4vPq#5Mg)A^t_1s;dkrMW_Nb+dZ|GCY&E~wm)Pc4Bx6#0%x(M$c=tcD7BhhLt!7y
zy{>ww0}>`(#54yaUd95V+%g^S+EOwVbg~}t4BMfEq{hiV(?1vLyprAl9A9={A?9By
zVDrmEFKl55L>DG#%^=jIk}>?orh=Wd5YF{@ekJND=ciYV`@3^<Zf`9`BnTQ&#uDKB
zTt2m&=`9tB^Q6_ymgZ#~DYE<ojy)z_CYDLDq+M{f;+^$6RfmK^%=tJt;2qeZfzB-q
z_Y?x@7MQTT6T&X<Yw)7^y+O?H%F+E#0ZM<>LKbLESsdHlwoOT*B`QbZGBPP`kQ9-i
ztYa)z_-a~Is!~Dh6&rYKu7T9>DE+)A#soi5>V6YSoJK<C$6PcVHaCKGxO2p}ULXV#
zLtiG6O&%H8H&jqRnT5s#g!X`*TN-Y$LyBtpi2mh1;<KM8dcs_L_t<`gkm~rD|K@1a
zOb-<oIgSL*CU=-5uO$m~r>BAh`$?fIS0tpKKElU?f%+=gtd$Yl>XgA^@-v(c!v-H!
z=RVT*gs$e+Ez5Biji6ggtOA2F5Q0_bG8eO79Hitmox^eZV(9CXr51KvoO>P&`5X7g
z@y@Q{ThuQ|h^Jej4;O%R_BNr~eZ_3!aSa{<l&sOg;D>g@uS&pMaaB6hb#a&sDE)N`
zXm|;wk5=Ht5xBG|E_{0!e{lP7n&qN*!zZB-4B-K{sEx`flg?z?-!uxBa56|INhp$w
z3^d>SMh7V05-9NL3x|}CX_`^8XcY`O)z*63Ym{5i>@61>6(rENW>KttmA}g&Cac`}
zrD(7~B&*I(4u!{jVdE3orPOsd4;(w0_w1)7<JxLollX~_jwOa;6FG!bVm21egF=@q
z9IfIZ8X2No+xwF2F$#emm~i?$BdV{eW<KUW?028&cl?0v-yaKThs|)u)QAQj9u2(V
zHBS^!iH7G!8neGXtRte#<&8+Ja{leRhVJ;X4psYPr{C7cqzelxu+i}rd-HsikMkY;
zB{Yf~9r$>g&v`fO;veUNuo8nq=wViRjjgbovkj$%k5KeT)e+E1z-)4J+JOn5HrrZ6
zIqtkzc=qzPYi(VhZl<+q{2gb*D}Clf;5Z7AsaX<4jjn7{-U`pQ-cHTa!W9z~jv2mR
z{7~BvMKP2)EPoP+MhJ;9G_bBZCGX6^#2(|B?oA4#cKaSB{S^vYDZ9uHqfG%Kgo&EU
zb$Y|dB<|>{;!3VjvbBybAKt%EfXUB5&rxWG12T7L71&}&J&oY&8N*!jqaW?%_`v{4
z=(^(Ka7&&f#>;>-&BN)=1NXMh^AZ~N*2wvgnD_oCgpRB@JZ(OLZT1Rbly#_QhA^zs
z&8z#x>L`<BLe^>q>(?g5(y#q|ab&Zg>t$MdeYdB7KByPv_RqeD(U{nJXq#c|MMX5v
z6tA>(@}jDddwg<)ZA`7Al3dM_ic@p1OQ@zjVOJ0(K6-}wn|VGAj<)ja!}jocHN>@`
zu6w%@?UmXVTg|MB$d3cC(+aWYOxuw_D@hpjDRo~OXbWzXMBs%%*(r4!+Q11G3DOmX
z#^jD@9?ek(G84kI4xN*hy(T{>13e2V<B1UOY)KfR+J&?#bEUe}1rnWu);Z{T*ht4L
zA!f(B?nX$+<Kym!_4QBE0?wTg-%Yr`lHIX|{8I~|y^q_}`CXrCWje4Y<_|rpQRm{5
z*Y>=VMikgd^!CWONm0@NrG5N0ys7)Q+&5^)HRRRfcL({78TLr}qn4h5o3UBtX=duI
zPUSiVvbGJB0s+AR{Ihv-$VNrLxjOTH-T9OHCkW*kIB<s9^5B<4Kd+EEUk^o%%eD(H
zhh4pfr2O4#H5N#0JvqAPSI)-jbnB)mWBmM))@dwJM-?kqt`32|j!KcPdSw6nIQ6B?
z;D>D$_%Z>pD~#UlZY9+gPDtoYCM`2UCHga0r;_*}I%VEN7$1+=RQEQL&(_vd_A!Up
zGFJrM!r<ffocPGd;*Bj*ioQQx%-gd0Dn8eN)(}2R$Y4n2Y8|h+O)DNysK1ZY4w)ru
zqlBgzn^U6=ChY)3-4gNM;|C|&^*1I5+qa{+uX;6vT9S~@RNPPJc7Z#+xu!aTOm_9L
z{bN(+K|p}u^RoAEB$Ee4Ko6P@fB%9d`S11OQ$Oyd2$Y_?ug308#-Z?qlQZh^iQlD%
zR`3V926<l_4E}Q!+O$x{>eRuaj4{_leY#S^={%Jl9nL+%ndR<s6)#ddBOFDLf%D9I
z3Kd(r6=Mr885>nq4LmJcx`T?YG@BW)(1+pR;I20BGf>@OUv^owI`=q$|CFLZPzO|a
zmKOa4`I-@gR!<JzK`M7_mpd{fOrWof-1%aTpO{{4N)^u3*a)`<MwtoJVWaoEpYQJO
z^?Vt#Qc&0@P0&K6V@0zM)F}`)xxLioirGdbMN7K%Wz1AJ1>aKRY(V~&e>=DPTNPcA
zXX04J+;%9fR6mVM1KVH=Y8l~s<7d?f58!8%=P0LzwlaWs>E5Gt!O{)2EP19v1~Fi%
zb6(HU+ILukho0ePy{9Kpc6z-!Ya_~FV2_jv^6i?>Sh2=N1&w4Ik6Z6;tlv#}$xeJ3
ze%|OH!5rXT!wx4KF*%5eKlRzE$HKZpZr2B_)cbS7d=d(^$mu@j+0DF82IKq9G0kF%
zVS6KAF(a*Dsm{S!_#@r5B2bOamFBgkyM1%KthbflvGq_C@6K|AJ|Q4x=gB+*L|w9M
zai%(ELs6(Z%*9mB0&QrHcl+xcN|rUx0aDaCI_Rw>k-89EK^#jSP9LO<AW88T`;C3Y
zk2^)M`@h+p0kZc6vOS@<u#cNl=ojkPDD$8xbLbN6UO!e}*T8$aSb5R@UB2c({F<Bn
z@W4A!`l(q@JqFu1kA?x~Mc7nC?WA9BTmw}H6JJz)yKPyTBpi0_C8cdF>1d<!^QBGx
z-bz0#==urX-B3(ekYwqj4JDGK!-vk4HYD^6*Q|AyLx=AYHrYilu=ekwqDk5D!@-u7
z3~(Egn7VZZEOea|FTjN@WlOenN_-bvGms>jG+uMhn^{$CZNvY@50ys&v05kh5HMVD
zhV-#rNyD|K$8IGpyjeXRPk=)Z@2k}K(YyUxzU;O`p&kA0XQ2sKk{M?Ve+lZ0m7tpK
zh$*l_TsznRuZ!$vwT_nJz-{yR%}f*>Aia(hdu;YDyT-1EYs#BpHs=JPk@Fe$9azU6
zK)%N1-Bzi~DkS`|UJJbZ<43DimW(vrBdEn)iZ%Yi62^x1$@jXH+Vc3QR5srWKSO$?
z(DV7<BkW2*r()NQ0lG3314=r{q>XH+*j<YQqr(abw!q)b-Ks^*Cbl9dT|E$rD~q(Q
zx;_J`@4d<T;_JHQAlpyDM|1Uu^~MpM>A5hyxT7Z4QHAEz{@L3sxSE!mSs06eH5+4>
z*#TjU*C9{7-``GaK3xQ<uu&9$*oyDi(0UA@#n~YsC?!KmQAeYyk;x^))|!V$<d<9B
z9j(EXDdzjW*b=!11YS<})Sj&wKf|zfeooa$ur_H3uIaq6o3l?wZeUnsV-%GCu7vg*
zTCeD8oc0PhxqrD<>-=xl*BJOn8f6{(!$5&7=Q8dHTYwZANzio@Z`GM}m4jrq&Q=fp
zETiHJ>fsudXsP=7pS>sN)#FW5Pfwn@-|H0+)U^}%=?HdNsAvR+DBJk*9iqARbsJ<@
zastUAbG(vs*k*^XTx`Pb{^69{ZL#V3vw{8_H7*bSmQtXoC*FW?8OYg&Y{(kUO?$RH
zi-M{Uh=<As-M{$Pi`mV;d>;+X2oA=(lU!leiYM-))lc;*sv=vkV-$dVTxDKTvSK~c
zH~RgLCZSjMH_*q6AsFu$81Jd=<6%ee#mFz>z+!9vN*xx$!&hbB>Y+KM^hEGHb+fHK
za~$e7b8KW#AnXOLllc(TiacND(bJ1vWZKvfb08ge^|>1)wpmUW1HS6Ctj;B_u%aW^
z#P&tu<L0O@acBlfIcLPg4;$w;1CTxnjhXCc=5F%@jz$Qmf@tX)Q>6h&KF|VURNxL(
zwGYQvrR(|g&TEfw4N$EaKP#?2_Qy55$)AkjKZt&RFK<vi)!no-NN|%-YVK*-z4Cq-
z&ayDdSC`*^A1B#0mGL9t3o{_1%JW9iczPT0?tdgP{6vzyJNccJW`Iw>&9#O@&Z=Y8
z+5D(qsvCs=R1VX1LNUY}*9OA*_jd+q$_)z6(meFPp=y?7<5mWzUx!`&W<0jo*8DrI
zOUyIX7dQ`TreVp&Zg`7toVxK?TN3BbA;a!?&|GtOxGq1^ylY%Y)vZ3&X2Br*F(pn7
z890nxIdEm{N?-b<`>-0~&RU@Hc7l|7`MaNx=uIxR*3|nuFH)<ue#M|0JzGqpl#aK+
zs#d_pW{U<7KfNQzj8fY$Rhk5Ycxm2Juy`Xqoi@Zd^l1b?$Uu~72QQ$2pOIrW5(=1S
zv1}-3|IEdYsJXWq<ZXhsC(>PdIbmJmHB%7FJl||xhR1@`kl8nsWBBPOUYmnNU%z6v
zsTdXQn)2(zBIbGq&U3XZLcEcm_gC%Qa2P%c(zZkAILx8)F`T5T$)rZi$bDzjoaWa0
z>SztlJa3r1=u3ro?Ez^W=ZI+2Z!wK2W(uwo3SGabeE28)ruYUx2e`RCf`f1r_~J4W
zHoJBL2fQDyD+h0_qxY2|kEG%f`L|UEm`wqqo}0`P>vjh(L?4X)5#Q$PKRK7Qt3X84
zvvll7N>1~_VG*cYwsBlLxNv2n^e1NhaY)?{gTneW!z)qun2USDdh=6?Y8Tfs_L2X{
zUxE4|=h3NXK6AylgxEooQ6q~<Ul&94_7R*JdwT9CHJ=)l*iq)w>L3kQh16M%jf@%8
zH!c?+OVJ30CD!_IpoHB_;fJ5(+J5c9^8M*Q0P|?x`&!;!-h0!p&^|EtztJMJz{-d?
zuP96274@(@CT=Ap9^GUQPd&d&(HEnlE8^K709G^DRPmVCfFuo`^&J>rT)BnhF@3c=
zN84T$_2Xl{nVF)SJq~02ly~dc9Z<*5P=&kV{8z@VRbVk4n=pfQJUW8tg?Yi%98|wz
zx}_v;uJ2w>1OiP5xpo$bZ44FJAfOBMRVcNwO(0rO8ms2w()%0movJ;Nq7QxMCd5MX
zLDs1+!PQypp#7uQ0u11}%d0{+1tr%f(d^4QuXk;Z3(UiPqtpM*394Q46u@Tw`SVz|
z@}171Z;O7_4Nb^E&59pN?HCIS+K~?LMlca|1>rUp3hP2ZNAN=dK`g2j?}S#m5$&5i
zCK(hS6gx>LG^>Qg;vK}u00<09Z%fi)51ke#$e#Qa2G5kn>DOIe?=bjM>91{l1I&nf
zJ%#(pn|}S_&%SL(1Lm6O#dSK!HEL#H+>B9hHq51YA@y1y_XSrVyv|o*d6#UaKMFR9
z3i)Q2Ys$txq|#rMAOboFa@?0%3AVe=nxMvXK9bm3``U!H=Lzet1=`(!%TsOUt+&D#
zX~mn0q~*Qcp|^P5I29y9HO?`}Og^6-ZnrQpCa!UISkrXlA8;X9HXA(#ZROBUcF}{?
z<MTh!e$-Yi{6Ct`Dk`of%EFBYC%8-S1PJa<fDqi>-Q9viaF;;i8r)qHT!Xu7<F09(
zx&N%0w|-(>Zg*9kv(LA8L1a$A_;M#_xv?6oS6~W<-kH!QO>&;2&LqZk(g}KcMScT#
z#O6N5G!iq5-veormO3_L^qxZmiN+>E{0Hy!+~C={7xK>@nWu#QdBWqXo8(kXS?u}F
zHHaI9v;=AQEOxzHbko-bd6Yb+5o;@^FDLKPCXK<j%o4Oo8Mj*9SPyAq<C=l8q|-@A
z$0LmOJn?xdFfw&N+SI?6dBS^WDMHP$b$)OZ`eYL|DABy&nz|hL9SS--cag?ry8nmu
zT;}Ndmni-XyWIemTTjQy$K7azPToHvybNMuBaKL<Q+H*7!J@-d2(0gvhL#9fhpEp9
z5IxOTAzP{Owi;0Zvnw4H)KWH+@4@f7lgSP3+&w_E_JuI0NyR%F%394EE{WR88!Beh
zMjwWjDX`>zU)*hcOj^DrHiUAYk_fXRFqYH@N~e6?Np;zft-PtdREk4Y{O0TMTunhT
zdLjhEdEm#aIl1&X((xVMa=`X@M}cnx%40&?HxGOGu`n;O(Y3iDchw8Wi=hh<0~yb9
z-XFX@=RzFc&bnd)p5x!H3Nd#Eq6?+FhFnQ9+xwttnqURgEb^cCwuTf!PY4f;QkG=?
zol9He^5_?M#SO6Z(XgAp`Q<vwZTO$J4`@4mI{J$Xn#)FLhDMW-Uso2Ty_}yfqgGrA
zC%o4xiS;%XTD7_A?(Al#OtkS4EgL?-mm`)$W0yz|B=d&)qZC@(TlwX`mGjez@{h8P
zM+nt|_r%OL^Zu6(bXngj$wZU~!Ra`>S3?2B?oV1+ntf*ch-7U?93CkjEJpzrMzGO=
zBRZ-_w7{)pyTZ;^LuoMYh*T}L2hK`pN+<9K+yivRTXLMqLb(3|2S@xE*}u|Tv|tK`
z7qtMme`?y}*%58f;Uq;nfm;rOrHcT-WB&T@RZDKbiX2*2S>%&by&z#4r)y#$CC-<8
z67GcipAM^d@Ft>%&g!z$A92teEu!T&Fp}Z4<GKUc+o|caxj?t_)Cy*x7{zi}<@R@H
z`EEYJKZ@E`zXfx)%#_7#LwQ=r0%?#Eb%Y-6DJ(AAn{HnhNBQdy`DH(xd{#uk4eePj
z=&zVXj<euvwCcI2?Aw!%^;}fLg~csaok{X`=O2iMxNtI_R7$Ap+GWI**KYgR?!l`$
zzf665zeFMDSZp3<ZDmT4sk)$27ql6ms;ef!2=^-yk61fMX$jfh9q4$VUvn~3V>AJb
zAvKduP#R^ACY-G(-?Ki?;Ya**J@k6-CT_9X!S;9Cp8-3Ko%^ql_%7kzD_`BQZIAh_
zt~amf`Xb7g)6)KBWtkuk`lxT)PgJVeNg{2{j+&=?-{%d7z+458MTrBX6P{-0vtMs4
zj=<kqqZ~!I2#eCXIr0eaS>k6xvR3>D&G9u8F$vqqHY$*Pk|cpffGDH<el!X3jZ_C;
z3N}jQ5aGha1Y4n-xx#M3kxxVD2R~p%l+EyA7K~n4YOxB?CNEMJY8AY@(tZybVB!!8
z<0a@8Ml@Q`UW{f#PM&gR783gC+|IC-HS{1K8@)=be^6^pmijZ+s8S<vqEv~UnUS17
zLz$@^yg&En8W}d2)U+D5!9mrtThat~^nhb_Zo%JMHlv7M8s~XhQ(9T`AEPMYg-~Ze
zM{oNbc>J61ol97a;RJ@i;eilvJOclw-sjBP&x~?(Dbh+9$|lZvFuOzK|G|C_#0Na+
zdkM3!(ha1Bf3gA^F@6(5Lht3P|6EmQEfVI*AmVpI{n*>TRzh=NP^@I@@(V*3+tiAv
ztF$<<lbr=E(5locL-cl~D)*p<Ln3nk6nXp~N@BZKO*}@XKg6U83`pgoV)%2wa*&z3
zras$KUhWc;@DdgaP}Dgl*2hQTx~0B93B}<f_e#DLucNWzIq6nADgRK&u5mwlIof=H
z;~G0vB~E5^R{_Xa(s5MM$!jFfQ{Ibdc=;2c8Xo8ik3oX@@pf(aD*L==_)7cw()9*q
z-M{jiARuUQT6O+QFQ9XB`IM_^Rn^xxTss_ibF()jTnXjRqSkD?S>;EZnPu-gNycta
z0XnmuV-M)2X6!&b0m<(_)z&6Hl%t#mOenrDCQ$>NA&wo2*Zlkkb(QU<5514N?k8KY
z<~b|5xKVoBR^oPIHaIt>i(JR<eo!PolaLC=N{ZI%4#KRz%4TX!Ik>n#JSQOg#l7*4
zj&;a%G{2oWW;r95lCOeP0$VU9J~5nahYIKZBbF4yyOgnJjhx6KziaQk`-vVms5V|t
z9gWvSnhD~y^1XT_JUD2fQL;7Pv&%$w>0-0HSht`_;$X0K_-*(i0M}hQ^$~2FU}<49
zdzfW+c6nt<vZU`=^9h*TRl72{qF<1r32qpyy=0LvuflogA>G_!WQ1cN<bjmTK*-6r
z(7*mqW++w>`6KqzhcBnSwxSeY%y?`rN(b^JzQw$UomO8rR$pCe&&LgdL~Dm>C&Fw%
z9zEb3Krv$^f4XA%>YK$!MK*02zBDVKBkhs3D-^D9-d~+D`^BLciJB^VvLN>8d>TWs
zNq7GXc{Yi>i8e16^b`(4+qjd%y=QHj8BT9Xdv97ZhITCn-#1aP3|xD~UoEY^x`;}u
zn;ckF$7Ls?ke40qs9U*;|8%+<!FE(zX%#@&9EPiHLzaX1ueFLqZ+<+-)9(>@!Vut1
zDSpVloCAiFJepiAX^omH&&qkrb6zcFK3z~?GCyDs7YKgb%#n}$xx<8ZpMKWxR`5RB
zNFb)_<k>w&rroi&Y=#^1{mIfn6HZ**Px5hsxO=*PtD=E%Kl!vfwZlzVg1b-Ov=r)9
zx}bqUc`#nM)x=h!u`{?+5{=T_0NzEBI^a#WWR;R$C_qPZK)Vl-=wsF)#<OPn?qG*+
zTOunW8$#fJ5K_RxW#))U7`@%OM|2`V3$-nrmc1O0Tf88C0tZW4Q3&VkO`){@S>NiQ
zr~!U{RwxS|EZ_=f<H)gs34BSTtVF%&0#TItm4ZijK}J)tmgc%)j^-Q+W;(6v;|=#4
z;jg&x+~<v)mkZmE7B~Txyl>-LL+^%YsGTFA<Rbb>+aEx_&irC9o|ZWc@r<qO!g9`b
zFJl*rwI^sGi!nkbdERh)4d@UtTPFu72Jvr@#u+||b4*z&)QaY>hh;ZaV-mkJ=xVj-
z=dda-JI>FQ4k;N`ESGMs_g`XmL&<z5RpTc3^_X?_5MpikkwOPJ`<4r0>J*8MC$ScF
z3|6<H`Ul^u`-EXzw^yk3PC)0)K@o(;x(KxjAJkTC2WbNDJK2mF117DG(XvweH&|S|
zJ;@eY@bB6SUW}zT1~UfbEeq-F`ig()i{x_ZY_}K+R)c*U1208hO5T11Krdd&UXOs!
z_n84Vj>5-%-cIuuX{=c{_vdHC@&`)0h(Hf0&UhEi*R@S4h0^wVC858MSfluDjDC5;
z6`JD)_5ZyFPi6o3^kLS^UC)82-S^vKEfR_b3@+Mt&58F6!|m?L!Tr1O#onC#TUU(P
zH~M`~TdbtFa6CSwVV34ni?E`mLJN3JpBAd*P5OhV`Vq0sCmg<mKA&jUgz_MCu6-1I
z-@Ck^{OjQNhd&MFL`XnqMZbNaEyAP$!m9=Em(o3KJPnQLx|I>z*zzH>w1eI173QfV
z_#a&An?HH^t$0|Xh@%J@h}KU)ppF`>8T}K6WO%&#xIka&6L~L8pavU;DZ6ui68vaf
zUPe{RiUQmU|F@{Cq-qI{&~Gljy_ME9f%`D!u$xdYXU{p7{EhTm4iTp2-yuqA1cKS}
z!h<#&J-cPjj4b9dW<ygQtl6TAA7?myN_0Frq2GA$U^mt|;SrspC*y3{=RC(^!q{n)
zmH2Gn7Jh=p+Gr&j+uasI_i@Y4hBLgWN=GBpxfsV3$a*Cf><)r+jI1b9Pbgc?$Ke>X
z_9cuS&Y=NOJ(C9TCfR+1ADPm)h@fb@up6FiCYx3Q|5fxs-YCBTU&mw7T9n9fDoSG3
zZSGjv&-j5(XzWu&!i5bHxgRsgmHSyfq%TIR5w<+_pYpHLvtu*mt$_kc<+qi=1FFd}
zv3eX#He)L8q4f*DH2<mvl#{5K^568?Ed+qQf;_G8X+{a6-0tK+ak4F^d!T3ctQsZu
zg{757p1pGjbinF{DUb;orjkuWCCXA7{GlIfn<AOY+n}Wei?OYWYOuaCr-E*yDv+_y
zo1?t#s;%t{^@s&zwGngKMO5-K^9d_bMb|8{G~UdELjK}OA#!ue`*E^j_vG%VB7ich
z=@jf)ZQ-ettT`*CHM9kIkZlIs>D>mW%?Hd|2v$|8dmF|KNsS^s1AB<Py|nuj#td%O
zzOLwB*Dg!>11D#Red_w3_j}GnT&lTGd}v5@wRkS1dFleq``;pwuN)OBc}C>DR%1d<
z#U6=d=mLe=rVe2nzIV$N)xhE4PnVf|XyC6cLs)Ir%-e)>yE5WS2W0hC`HyyH00ET)
zaWlB385!K~$zS|lIw|};7J*|^_HxRxB}sSm;;58z6Xon%o+gD_{-H!$vBW$`es#-Z
z-2pD<Qb|YBXvRlz{b<|kJCyE~9G&dCOmGV|o(u~6uA{my_w^`u$ML1AD>UF*@pYt7
z<T;J|H}oDb!lqCEhi*t)!#ra3`P35zc&bVdN{|Qsfh@mzXk7?7@Gt|dr&C+yv^L5R
zU1-lqGBRLXu%ngC?fnlDoHbE*KMcNcq6P;y%uqt|OfyW`))hbjjF1E)`3leyf+$QL
zje~lVm#aBWs0fYn*!LvZPATP=n2Hvcl(Az}86i0DF|}6xmQo!8hUL{qvv1SEvZ8qy
z7gwA*0z&jHaD!Ab2dOZTP$#5zD_BAVbf4}O9FR4DUO_!V0ilWi1Ss+@=a&I+v2Tqb
ze9;*93vSPXslHOnayo_P{cD1^Di{9dAN}p2Q51F4ZI~3Xn+u*A3*Pj-$Um)cdMPy{
zV#JQj+)a`=oJ8+)y4V+CSm}#%iYs{#oz2*HVMQS!Upd>}&)iUmc1#43AT+5crHj+)
zh%D_&+V*psFCgvo#B^6#(ty$-i`<RRs0*nJw+5LRJz!@7iH8jG-^IAS8IW4*cS`0}
zq_1NGoS5H(mwn<%Ojb+eLDnR?#b#m!0ruQvwHwBr{h$mYLF({&YjXZn^>Cp1tX=4_
z3I(tQXU?-e;|<mDzExWjWTHX<2r)Z>=Gff!^uL%6Uq=rVh~<9`#%Yu;eo4{Q&s^9k
z8697+jH!DVTv|wZX2e}yFYD2#V}eMMeRM#V*NT8y9QfeufE#Ctz~_eAZ5ES1{B)zg
z=(SjP*HlZ&D#r=YjpyLMCrXv!ZfGYn%cR0e-_-MckNoH2i$J4gs%P$5VXwPmM<dJ4
z!9Lv~y#-KMU(OB?zrE0tw3B12VvFT`nEgnTr2TcU?2o*yO;?33!CiZfDry1gLZbhc
zRDXIOVVwNQlAJ^7PlgMUfp`oN!-d)jQv(ZtK6PtsQa?}Yvvg+?zWIQ0RW)!{OwC9P
z0*05X?j+-+4_+zaHYK?HSvqyaltJCm)~|LK)78%JSnq8Kbw1(hkXiUPl>~C65)5}i
znu=?(mv~MfU6&ZOQEo5i@HkZM@`xutr^Qye8rSh*v^aJ0ZOAn6*uFnNOU%P&y%nxG
z6a~}va(pBBR>1j$hO5QyLAx^u)Et;KWz<qW#!1+>J@1L~^}NnNl2@#<W?vHsz78Cz
zRVqjp%Jr*DIw)BHg{6^wPWrG`z%AEJ2X2S-;P^QD>&E7j57Ntd*X!aN@!KWEYhQ>z
z^!a(#k?r3G<X{v<vjS1))APT(XBn)u16~bvX?|tpC0&TQ5$MdPRQv5X{06;xQ4L0w
z^7u8)Qq|X)-8)I<g(}?Lj#E6(h$KCDw^h?Dg_ER;HFGzS@xBvb53qHGZ@V{Ix9Bp<
zO0nL@<fqP*0~&A91ugTY5SS>1o5BUBm@gF*-ek{5QJnSb7#4**Hkhb&w32f2aZJ>~
zwsTSm#p~|)-NlCAn#S+pew;}2wOc8Jjv)<@kqGsdVC$@i>zT{&7Tag1x-eJrk{j4A
zzn9lW^GEyN9kE)EOyf_n(>LU`*bkeVJfk-Hp7$@Ac>bN`Q;lYa$=0zAl0hP`HgU5L
z#*~$$V+(ro_>MIn_13tp_-9a6qd=k7iN-1_c{@SxSYVL}b;JL$V1$+G`wKpp4e`x9
z6x874U-g2L%`m=O&<<LzBOJ`y%S&U%v@Vqm^PWV;J=tGgO`TX|D>74h_%NF_r0Rjj
zbsgsORhW8)2m}9a&cc3iB44;6#?tE`gA3w>ViE~@${0#--<m~@R*d6giOd}cm|eb*
znEoU0b@-RVIXB@L>CDZD*6H1L#<b!ANP2d)7^l4hoI{$H$%^$}qhoa37t=Zb<DWOi
zS=pCddD8d9-W<2C`7WRZ8MW!Behu-`rJW1gg|MmZ#IU<pH@?V^`Fa95Qkv-SIDMlJ
zw#PSJ4J^zhn<)t^Ijj5}YPg%IzjoS3CFe^G@fQSOAF*-{@|X#CG9}K9YtVH-;V=IV
zIRn0r4bd+>-FH?ZQ1b52r4zZd=HS!07o0xm5!KAc4tQRa!i`ylIvS4Wz*i<o2DZE2
zZwuCCPvZ9{CEb+UkR6ACzVHncEUPzHN&ji6eaJ!Ogp$cy(ROM(X2z2isJ?lVa;wl!
z=p+7kagTvCP$e*=M@~R#?aZF+Z#~FiaN0`yMG1#kyo;$T(zsqw3KI?*HP9Dtp=8pS
z;n0-T>fn7}+G}Y8!%-$YtHy#qtw(|x#S-feAe#1JEx8Oxy_dvdra*@2P~3+R(qBi!
zuJ5B@Bn&)hNrWajUwby6)(a<|3=~b3aqp$y4k=<^SN{{L-UmFS1w;m1V!px{{PqfR
z?0Wg9jP$Pz=<5-I1q7HJZcHAd;gJAm3?LD!OOj*)Xrj38mM~W69deh5p=leHm{V2Y
zz>jj*&z=#JB8y`44l~g@8qCAYvtd63!B%n+2<)FYNaf3Vp=Ck2p0N|{gr!v>sz<Cu
zBQbH+UEdIT-UfHZxnKyZN_`nA`PJ}%v4HiJ`3q{>Hm)`beA^yo9*xbcR@SClkN8F$
zUF{q<7#vi;exJr#5Wx~Cp|g|KW!P~eEH%8OgreoZuUB)JMj%E|)`YQGVNqf*Zz^T7
zN~V#2MjP%U`X$|0wdr4N&P5Ri_sqFqZ!16NgMow2^XnPEP3uRcyMOan@Bz>ButS*e
zM%jQ}j{E+~B?NHVEU=qK>KGXURZlhnTfXIZNqJqXHczWw(lQnY18#&2q3+vHv(k4#
zXFdKi?ii!pd4$bTmzpl9DPrp1FFs&SdMof3&H_Ts%$@KYV;md=mv{89V3p%ZEqV2c
z*+L&OhvxK6R`AzJW|}^mw>S$MjE~8w3Wo32`QNw3qrqa$HciOQ;3rK~Gqs)xsgFk5
z+dJzDG`gdjx|t!21s7+)f^TI4kyLbJ%(%X4)VM;;c)|~)V1Os=?^Z^kzajk`KRO(<
z`{3H(aJ63^><(Y-=gi(S@;uA&e7ynL;kFjElu~^<Q*QG-|7&UfNep*VG2Y!j{>epi
z^%AQwGvdX4R_ocVF6f3_TI~G4=8?TnD(B+NPlmmp+H@ZjcJG9~v3HymzH^=&7+H<^
z*A<Kl`E}p@I80oz+JC&)v&exNs&W#<eW-kugSQ;+8^DgYK0^(mS!AWkF+o(avr#=F
z43GSDl(+63>1p^x<;9E0&OS9P<8e|zeo9EGyHD57$kBb7aNq-w-+clm9|+P1TWTy6
z7uNfL1`y=}HriWw<T6u}Lr!)EMSp&7x_*s!SE@&jUCu8l3%si~_93s1A{QM}Co!0M
z`u8i<79*r?vU@9>jO|q<A>HecnA;ceX(bX_@6_`brH3m`AKr!lcAMGkQliP#*USbK
z`vIbn>Dsse@)$94R5};vNI9L7Q{__?THJZ10CRLt)~bu1be(!CICvtwKpqy_TyxaS
zT|KAJ$o>kKr^g@~dadF>?x^DO84>WFlmtAM+(&oaqdq_6zVW^8D!%R-1U!{-ysObf
z2Z)#ExX+Wtyt;M*`+k25k4QK4HCvHyJ%8aUNQib~D%Hh(d=}BOtF6}IRmAK!$pB2d
z9KW@2b7N46LxO2w*QN5O+R@viPc1At_mk&@pJidQ2)#_hwzTe2n=r3ql6YMRo3(iG
z?JZ3|WkSF97=uvQW8V=v1@`vA=Oy-Z%NR2RHg*o76?tTw(T-b%CcOz;vR=M4nh6ph
zZa<MCH3>w2nd6JkbSLR=#iI)yj21var6^c`V1rce`rNPhX=`}ecrbpm>Fg?X^42Xx
zrS!4jG{{Z4hkPc`608laKV$Omti0U+&rx8~%g2ajK>E|m`%4~WCi7jo4`e0y1{tPz
zw)>bN1ocqEi6&Sbk)&c!>L#IB_K_945zcJJwF{(7S8c&sb1xJgBbnox{YxX=ToMuH
zTG+OV^;3ftd%dlQQ9^A4M(nR5@H+PDR^0FyWqK>L6G^<|8;Wpx74AAl8^YI$ca+0D
zi`gQo)xS_gb4VJi)?q2Bhx63le12AMCU_5uf`Yl3$RaU|v0pSiiHe&SwmsG*M<Vt4
zW9`2G!etvZBu}FnIj>=)uzlfm1AJhP)#a_56MxYRJL!q=mwTIQ%)Q=uk@2@;DRHsT
zgv=pdUV8;YtntO3ByKAL6aSqGF{KYx_CUFem)$FU(TA|Fie0rdizfAWc8E~rl*y(9
zDG0BwU$UTcgk(ANg}C){1Kch3Qw;1lt8eF?uULTwUKV`XC58p<qFSCbqr*`<1NtE_
z)raH`Pp5psLWmC0F({K`OKq6<OO_ij+S*$pZ*Lntd?p{dFuhBgUH|h2WlSI-moxH*
zgHXt;8F{$}S6;%IUnRz8pW-_BztFTY)LdB_U8Zq)RiDkuo7LLsd%k3iQQHt$WSHP{
z-)t4o%W@R$M6wzoU$B|cT}L47<SVDVA6RBOybZliKB$CE%+qiu(9I1}O9@qBV9(k7
z_*LlCGSM|0-7|_cLVMT3k;-(@fNf6xl%J$&fHvY#ux{YZ@eM*Da!7u2|Li900=!f}
z)@hiDF1#i{!0<@L|5u@|vlMU1XOJ!TuXz|qZx~kxrj<NPbKK2QIpeOt5fwEH*EA^n
zk1#k`kI0BQfxSdtkOLs|$kT(N_A-8PA?c!-0;FLwkk3Kh@+VFW4uzSFnt32tcn*2I
zoF#0e>gwC&ptV<aMiuoX{`ilr=lU#}mqe>WU+B>MEVfuAf+iux5Mg3n(50rx=c|A1
zQt5zU57qa{2E`$F<(KBb*l&s7Iv1<w&uYX;SHz@&efG4Qecj(^8pjk?2c{~CO-vlb
zFMo+rJ_3vOZUi21eX#Sg#<Agf(r)rpAOdUJ2{3hU72>jfmMJM`LgPQVnpLNTZ}5XZ
z2DsKdI}IDs$zjfIt5m8@4sE@6475{PEe@zZwkSufey)Y|-ROhoHkjU4OR9!lW3^So
zV@hdhML8{Y%aqo@KM|v4!j@?Y?-V{YlC=m@A2Zb>QU<JhqH!+9fIa(Z{>q^QK5!vx
zI0deHN)=tKPGCdW4v%Va4AAV*Rh+V|nc}{!ZD?3AZ}qNB^jOz0uL?0C|3p(N#A}=e
zP*jGD26yQdk;@`oZ_d#KBAiwBY`BaG6aD3Pl)#GcE`~h`7&?f$GnKRDr0a?|qFwWJ
zA{_|TMtr@P@$w&QjVE6?Z{D_73MT4bD;}_wO}E`0{NXcexa(o96Bp#_U93#%BtOXc
z+k?&WeDp8>5BU+1G`@5R=a`XD{3<*Etw`1j#~1v$@}fo8eV1D!_o+2Ol%%Q<4W{Yr
zPJi`*NS;zSaCeqSOqfN`iZbhIeeyaXUHiJhj8pEO>6iO+)`YhmEal(&&(EZA`Jxfq
zH%p4;nF|F(jB1<ixr9n)TT145zoA-kjMCmVJL2m)&)a9jc0bhji37Yk$PoZ_iL?Pu
zRE)1tWor4QUGlW^K=k*&1O;Sa59_=_JUrw{e1v_RVDgL!A#K5b-o9YxMZF5*=nA~_
zI0f<1Dp*#`8=dfi<E8Hcq!KO0+9?MCHwM+Z)(-TniTkI`+bTLICeQTXIUTD0iHNIs
zSCntG<6rzYsiKwr-xB_`=Ng^`<b?a^5YU);9NBGJ`XaugVEd2byWs*X4mo=O7z0fE
zzb6@I4-MGIj+*1(q(1z>p7dK`m7f~&c9ofTz(g@nAVBE!mg(J|Br95mMS!E!YQX^9
zFCc`Q7%?%M*oQeWv4ta3k1Y#$U(>DXG32eAJj<=;FwPOPc}=Q11m66#oxj)LWyT2?
zUT;9hg9SFsz=1XW#f<kJ48~)K{VE(EF9HZ5fOWRhrzK3Ko1g^e*|AHgQ?<e^I-Li9
z45jw0^K8QNDECji$H5TYrv8Cblg;I<d8qk(FomK8bMC~=(y>#=a=?4D>#D7~N~UT}
zdCtkpoRvrV(4NXX(ePFJ9X42}g+h1o4eyk;9zkA-9F}*(gw@f$xrFa_YfKTve6uPc
z#4tU+B2Q4^EEyuDb2w}PSve^Mi;n6|c)3&D{u7z@Mtw}C<g3qca@blaAX5jGK<zNf
zj(3&mPwcsngFx6DcO39H_r;Ff+w_rbS8f^p>RaK}F{@<<A-AUnwBWEBwL6bPQg{jG
zBkF(p)yQ9BnF}{&$RXGa1$lt&H(!mw{d>kl;TaQ_R&w$h=u&GD|KkQ5qHGe&FO{;p
z@ApDd28%jW2f-oBRnP(3F+Xgh3n5^H2=M$czQu8XXCc`V&vLEg>zoI^W3>&yk1`b#
z#T2yGVy)Pk+I}ZNZ$2kCg&L)CpHk5=c{Txe-!)+@hy13;%8Y^?i_Jd>Tkg~@7I#73
z)e&PP1BVnPe&<wIUgShYW`YHCe+EFy?9Hieqv653EXhJlm~tnjj_xlT)Sw^kvHnYz
z5vfZfj6DbL3F+hJ3iW~w$ZXXm<}+VY>fv3+$!!YHeAZo`Oz+bt-BXFOSWy1!ps$yl
zfwuHQgt@M)4BP^?P%b`V%iEF|k}%U8B#i9XVf%pZ#)bqRjPE0s>)r-zd#7oBB2vKe
z5L~BBCvnNMtTF_FapB)lOkN8>y9M@$&p|jsQ?BIaL6I0v8$F2V`_-<>H>qOcqF?9W
zuTj2Wj6M3(5klB-5<yCE6@u*`avk}hk!<G+9FXQmLL&5?;}R<j|9X7LP>f>TK<gQ)
z|C>i>vn%)~k^jy2f4kKJ6yIC1z&SvYPa7NhL~p~$d7#aIetQ?3+nS|N1;`$7SG=Jd
zfOA{^$@5H=V+TT87Ssu{!!ucef>Vl!$KX_*3@mcp=4JWO9H+bcD8r4(mi-nUw*==0
zHLys=zF<?9f+Q<(5ELkrx&>Q&Bt4A8>_5vN_}KS$fI@<Uy1Q9@KT2<xkeWu`);I$`
zgEWzv(g;{sq_@Gv=tKUel-!0%-#ydjMZtmE3CMGC@5N@NbAyBUCpH*}VXpku>Sv2#
z4%ZfB*^3n{0WbCB!fJ?$osk+Y-1}R2Ek?pBW3r~MkEL4HLcoSl$H1CN;~~cZg7rN5
z3X{Tw9@PB-ms)tRmIdUO$$j{_eQt2uS56}jxN-eAf%=8kHhH61g@4CIEwjVsTH@Kb
zDf6Tbw1;u>#8*PDhiWwpl?gb;n5?|cVDmSi?Sn8v0v;>1LzTACHzYF)ZaF5{3uO>c
z7wR=Z<ymsL#)t2Qw|QbClqi5T84<UMozcrn(J&kIKD)K#@DGI_4<gGqQRNJaFNjuJ
z9Q8(OrrD?m-zeCbhk+23VzNnduM6jneEg#cl@91~L3ah@WhK&wEa?LD2ZN~NcF_X{
zH@uPm0uIac$!R^`hWSh)ZsmAO(x(yxX{cpc>L%a)GW8u3J@f;;=M+=xat;d$lX%@@
z-a=Ck`4#x&n;j|Mw!|+%{_yT3Iwe*i0bz2(V)d-2vBnM0nn5(H-L7>!)NcvXQN4pF
zny6|OD99kcwac6+?2GD8fKU^J{xoovl2x!=c_|STOkn~f(>&Nqgh?2m%b_IUjl?|G
zUV$S<gyEtt9NiYSzt3ZvDz(~uE+(4T9}qjc!X$d?{*wA?Q?M&99a>CPONhN#YCjy;
z_f=B;UQ6LiEp=zZczQU~BXRZuuLa4zH@gWVM=TS#?o_AmTvu;0ruXe3z$=Sj7_e`_
z^zq04mxkfM{C923({L<T-5lE4=QD%k0|X0&{~kj(_%E}_BgChod;pUGZ^H3otpxSk
zx@JkTW!2|t?eM*@q%QS&$yB4&<wIO4_0Q#I<nm?Z4`spK3kdI*fbuCl8?MM!4M069
zvf~@gsR>!vbPC;dK;E@<R0603>Ea}$+1%m0D5w@&5~QIbgZF4yGrmuw|9N#?;O;>f
z{;s#va9oJa=j=w_a@P-P4#C;(UY`2E*hdo(sZ$6)ewXU<<LhxW7*{@>raD2uHTGMb
zBLl|&YYs_;wMbo`*@g&HAP1{X9ZCWP%vKS<eiES{w8?X;JB9Dez>ir0kwY?x12w0&
zuXS!TZ3CXFo<TwzlHH8R->8v|EmymLExa^ut|?uAGMqhjXx^z_#3WLa@%R%67Gpy!
zM=?kanHAt@52u7+RX$IhWI)LmKd}=zZ%|KicKY!}8>Qd$!+Q~A#bg)akI#AstyvlO
zZ^MFiOk}Y+^1NOz9&<?I)b1(hQTr=VR=x^JX-p}ZB`lqB#}MV%u1>RkbaI~Pf6=NY
z(q7>CxgC&3?2H`f|2A>dA+^f)?5jSounpKek57*vz0R`*WW_)@Orz0-(Z}od?sbO6
z3VfcERIQMpZ5u+uS%8UDua9vn%fq#yI@u9yv7)X^!IJ?gu?>iBY)Hs!ox>_hX`c#o
ze_2p6E5<yLgH}^(>GIbVdHX+J+SLWYGz9SmiMXNl^l!Wn>B0R9T=;I6fzj{)Ke~z@
zb6ykr^zWeVqzOZcx+N1ob7jY4wigckzeC0yGlS;>QL(_4l1WFBHI&$%ffUZ;3-%Mz
zW`V9ruT!N5qPxU}QAKm7=_{AzEsxoOr$nOIWN(G13m@)XIqc6Y$6Tu6sCz%{rP;7r
zZl%e@iad<j36yDku)4)r4&(fbp?_f6CZ!kTekkhWvJZmJ5pja%)O#uO@!61us4J0W
zGiGE`M-R<}2N3>Q8($6(48^xk<ihm&0OksyycjG$P9TaEc{F()X`lVBh!)wh=#JYB
zWQn8=(JFWxu3`Ob9e^Illzf9>Kn(#b<$xc$T{HL6G>(el>!Cp1JeW%raT|gu{}gcS
zT-sM_H)O99ZH{HR=V7dKAm}#L41*P7q~OaJIFr#GY@M#<PhLKRR_Vcu(ttejxkvea
z5d*6^yU+0TcmL{16gY%_5{}e&*z0S@jo(nhI4r2e)`o3u4j+SDDlvH*2&%b1BZ#iD
z>}&TouX}GNl!RHUHIJ_jF(UdgRrC}3Sk#}EpGUo!hMj{!FpA$2gxCF+p7&|Kjb=^|
zG3-l;UbdDh_HKaHwcp_%SMuq#!V)Nffo(gkUUT+IP%el~@4A~j7q@JHhXNFE(Q#MC
zgNa}@EWV|8YYm&%jV9%#Q*)D$V7a`#sI)<nQ&>{MQK_ju>Gg#jKNls&WdZ_3CV+{R
zdmrwitsT$js{W%%)X)c5hHe0U_uQfHtZt_NroF=boQ2YwR7tMt>zKkWxypf`9qrzi
zBG(?X3Xep2i^k)lK{EFHcFdmpq62Usk+))#3Uccv9E;6^fajW}L!!TrYIw7DsOAu@
z0jZzw*^zOO)mZ*bwMMgFA3`3FaI}II0x_O|GB6bLO)@qh9;4%nk~3D<)vICPcF&24
z%1B+=i=G<jDV9zS=BF1<MIP1gU0xb?yUm$Q7nMu4Hrw_#Vm<5}`yyKJe$@IPWTFxP
z0uKZ6S~*@6T63Xd1j8`j?@uG#JCVr4f-y6pi5vXm&|=y_j~wePW|ZfvG*>YFdDi`s
zDFN&KajUOm%mF4|{F$vM`5*&@kNlHTA74_n@rx(<Y|^fMoW(;jw$&2+mqDvj45qtF
z^F<h0z3Ck3$?Kxw;BCb)$g=<Cbs6CTX@E=_+zIymFk9dq`2_aWpa3SxloY+zf{RmK
z+P>BCX?`yk9vGa?%ZUEEZ|HMZ>T^j%`FrSc15zT3qSFLK#hpCRuRhjQ3;gb=E;I<7
zM)@2kn>9X^9om-hw%*}x*1#~eb9oodXpnpA$@!`U*x_4}7zvXOn_XGyf`XH0z8q{@
zUmXPnGt);=DJ}1@W`&E+ddHWa*IMhj#YSf^<$dEy;3SAyNNnp)D;|ET>Xm|1KlvWG
zwS+h>T408F?&|h9H&{bNSxFq-^}V5Yz#g3f91?I=F+kt*>>E{w`h&OV&me!i`TUN@
z`am;`MHJ~I14#87LYQP%#u01>Ycp41a7;V$n3Zf^-b_EgxBHiC%$xUVrZyy0Wymw~
z1$Sa)SP3zWFG&oYQ6ORtNzk3y2+x#fvj(x+13-yT9&Pf)XP?R1b$<~vH{o{?<@?0w
zEt0bjR;Xv5jgRMR<?_|{)Vk0*0Gb0PD=`HWxX?~#)My>(e_+bj_3CXU6aX%(T)dlb
zk6o5!Pdukx2nitRs0Ki?z6ZL9)la|q8Lz|%GbKUC?O`|MQlEe%hJmY7<GA&Xu;0QR
zSz;7@awkkMmkZMk>V&bgl0o&XmkyM9<e~%_vk{<h_fBYsP%^T}gh7mq6#QGWJ1g~Y
z+3W@85PoYZUZs0JS?)v`a0HX3HCi0P8-1gcvYi*mIp7?`9^B^F;KAonkDd>6V>i$L
zA<v4kt;fg({&Tadv$6b+({lobJaNw?X3!)Fn1-yS|DZS(_nW-)j2Za3FEbT2&SjBI
z8l9wL6}iltBTMRH_k2UeXp;rSNK8b&FCC{96FbnZU}6ozOR$8;x^CbgO$@CHMKS$)
z*|wh0^rH2djR)n1al~OaohUHcvnFKHeU4d1`0Kx=CqzUFezQ-<6YkINZFvKkr<`QV
zjhwnfem;!>%4BtFnLBCT!K+m&#7<f8I0tIVHUjTvWLk07CC0Qrb9HYpT`?T7#gS{)
zlXv>Eg$;$l+4~J~K>W1O(r8&C{=pM_DkFJ;vrX#Elx|;Y`|VZa<xV;q0#q^N{{;;J
zhUOHN`+xIj(L(LMz#~-+te)^U`&r3nuzrsFJ596U9S_VW{tGG8ZgQ5$P9p-2=)P#k
zRo4@kIyl(Y0%fK3p0H3U%*bBH#hmJ`D2CZfdHo%9ge`nquuvW~3KlBwgqv*f;j#>U
zDuk;Vi-_IVG4|XR2|r!RHrZhdT!xIriG=X!a&e2{*%skl8p%gWJp`Cz;4FDv(Ok7_
znG8XM(*}YzF$qYXecK|d-cVAUn2U-2j^(+Ft*y6D7g2oG@zC@B^^Y?Uo#by8D1ty*
z68`%B!J(?J{DbB0UUBrP@h>c``8EG!LihUYZK}!J&fSiN{y;OV_&Wv9bpIIik8VZX
zdax`y$%Xt)771aC)29za3T&$3x1)nFJ?uQ-pL7{ff&({nJ!}g?t`nxtoC5=UA2$lA
zF1-L(Rg_fnRquGlLj0N)@GA!PQ0Znw4pi;k0O5StJy$K$g8bO5QCQzt`;3L;4d?X%
zOFR6PKNrL<!t{S;K?YvksJFeLrpLiVQgdkJFz?f~36e1%_~A*gmteyhRRTW@>dr3_
zN{{_L-Ef}Q%4}4D)L`}uP~EWA^XBp{Y~5d9HxB~20d#B9off2@5=Rj0>hU7P#LxG7
z_<lF%<ME7RBH}&>-w=;>i<@L(W;IJ^wNTigU@ZrU!&<anFwj_B*CziMqKfJ7XoS0f
zqnl~?xr=wdX+kwlkNyR*MIJOf`aycuqwY_-2#Kf_k(-l2k2bry$v!J)R4!v5rj2Yw
z+)VrA*EN&fYd@}UdaCDB(}}}IZZlcF-<tpBLsVfADcFUJp2w`h``@+R*G18-u>=72
znev&J363Z#MT>_XpK2)l3=dn5tdUU%9Q<z2A`&PI!h*HA2~Fv3qzU=`u>0yWp&HN9
zC?sp0TYjYSO#DyZAnjhzTVCZWVy>w~J&u4h+LvG%xDb-t3#n}m(ffShh4cU!WuR`&
z&&9wPiQ*yRoM$C(-WBI?>%Yh-YiA0dsj3@gBTs$Lq5$l2#LdpE9XDmcPePr|uG4;A
zjNssGbEO3M3roQ8>MNc{+4Qbhqu$-LFcJ;Zg4nt$I46<X!zc}w*5Hels$6rL6KiiY
z%ZZx&w-9z}zdD^-I8Qzlg7kBk$lSkN{(rA*;osGyq67INTi@pcLl58XM+fLXbzM>o
zw%c62JP?cMYs`HkUD#uv<ppkW{^|Ys>lR3ZF``-HoA_}YsB^Cv{luWWGPNx-C>cGj
zj&zqjVF_U>RvvG6Q~rajmZ^?ezSrfYjhD+4u6>vOO!ZE{>Z`yASPoeaH%01nzsO9e
z)|t07g}VNGZ=2O0vZDAST(S&b5jU*^2>;|j)pkUnkrA>#uhSUh)Glarly<QH*^}*j
zP|Ne#@4F@JUmp1+e!h%<TmdHwQbtO)vB^Y4VQix83$Xu$FXsJ*rfLCT5{Q9VF8HCc
zl%5b*7mG>O=g|h%q7q`QSD*Dh{Vna{^wf^TCI=u2RNF$=V@BL;!)}|kjKML_4=6Bd
zs!)YSOfmtn^d6|qeLILs;6&LIBeT5E9pteZ6b*QHd2<ec!NvKR>65{Hg6i{lJHjZO
zlNbXBKjGhUEjKD^azVlvLJlY^bqymWIci5EW{*F@F(KnMWpi$NHVC3hc2b@D0EiMR
z8M@gO`07|^mae!5SVZ-W7)k>%sM~aI{c<G;$L+BQu9P5>Z0Yr7%EF*~s52%;T=9mt
zT6Q#@((iNl(ZZsN;mVEe$t(U(mxcLrOOp{773h3LGdXiekvPM{ARtTA3*(U7%6pLz
z4lzD>aO*P+q3_`q>;-t^sJiL7Q-b}PHi5U;+|Lj>wGNO8@5+1T%g=~1riImwI{T6X
z#k$$(j5_+hQ0JIN3}}%gbd0pR2UOz3nySWy2oI7^vSUfiCe$tAy;DJKQ_u;@pAxoH
z4fq&#XPKOY$q8UK7n@bve}+aO*folD6i*2lK#E>#E3NKBYwP4YLMCbWa{<}j84(0~
zit31*F&98f4}*}c{Gc#x%<elYj%^QCDWv52!o}he`|v|6SbEm3ru5B~NFscDT&o)&
z7MBe6x%`&~fkG=^kj6*8QRkmY6`gi;CXG?ScW8&s-K~qtyeAxR^pjJ{_Y(2#N3}L~
zb_3DpH84N!f1zIpZ5S*9F)&UYM|nScuLOrE{Mab;4gJS~2D<$S5bZ7@=AjklA?<}p
z6i71kH-fF5s!m$Ft9C+&`^O7XNNwsrvxXa#u(ahkQV@cI-Hn2I(}JV<X;d)EvV&s2
z$(dE1k_bu3YUwsAoS--PzE2);?LO6VdONR`_{9D26&aI*p@<F_^8nx~@gh=BxDT&r
z50=+Tm-dkmTA_))m@84|E=|o7rZ_91p4J2Gl)UH)eH18IW_0f_B-L%%vhlTQNUY`;
z8&+-71wcg*(N-I#P7y<-T6neYOtadYmHyR<ZJYH16uGJ~22y!;FkDR^xOh&Z;4Vj-
z<Ued)J=7h<8=b|Od4S}RA5*9MU8ZmAZU_{m(wJKl3R{Qs(@339v7VzPlN-Nxzi0Q*
zAeTtnRa`o8H761L0o0;aMjq{T`-DUT5jF8><hIu5(l;rn)2vy@TdE(f1zUh|ml;|Q
zVbt6Kt5P0omti&6->qSQN(EjdZ>NJ{m+=hmUn^{8ho^I)6B>_g(kl5-{LXVWIwth}
zP-GR<$d{Ij2SScmBKxk61Hrp@Mlt3K-ka(<X53c#AJUZAgVKK#;9q3=Vzy=uddJs~
z)fw>A=I8YzeDb#Xro3G+rs5o@8&@dtTSZN6l&dKt{Gt2<L}|d1&w2o;y$21@=49K@
zj&g(%KNf5BCFTw^6u$3P>2p;(*LPDmMLQGP$?2!0ZIU|xr!FHIpS&gwvTPlMGzvt&
z*pFrZafoF0YH)xY5LY>|e|F-hKd@(c7XuU6;qrx?-!110CF>$XuwLx+M~|6G8}<ki
zkA9*;w$I}}jwIwHX#N;nozUzXRrh6}NE1w3dQL{y%yzw}075SRFPg6!a8!)^?*0#e
zF?sJc0Wn$Lx^9j;e6mXdhDK(MKYs!8<!>#ZK{L}zvJP!1gar<Xvr1Cm!=AjYv#=$0
z`4c72#%WhrAk-il^p0G9sG@Ds+9_%HF(`A;fm!g>pa|Fc`}|D1KD>4kS@+K0v3p}n
z6%XEzu5hNMFTC||0mgB?7pA-iwJ2y5ordZXFeV3IGdU*FR~80ES?ak4ipNEfLdZkc
zL?xo3uH+Lw&u(IsK<2ENZR|t;R!hwRSjZIV1}X%;`owcmo_}Z4M#UOIWUn)ObI%@e
zujs-q^RZ8mu)1wQ*=GmXZ0e79+PD2|h8RMM4=x|f!gXKmFz^qONlR|BZr}aEeI=(W
zND*X{=o>U6-FaHCu0j+4m<>C)c37(ab$%XK>3yO18}Y2Rg@TF`V~9-^-aaku<&8}9
zjW<7yQ`*SA#A;N1_kuIIGEQ_8nfa(0QA~~n1s0YWw*owT2#(R4;Q0dO8kd=ErJPB|
z!p;ZW&#nOdhdP73yKAoQet%^W!eV6w=!98gH>GTRh;c&22r(0`AW|t-Hnwk=^O&xH
z8rwWLz?@yEf$}+CHjC`fCPqwYUt9DvyUX~wYZaJlSaSH`$B$zU6qUS!CU}(-_AsW|
z@b%n|m239(MfF>3CAa#4=(xgj((-odm)!;Ir^*|vZ1~BU3@-EmCDXwR3i=uKuQWJD
z_;H&NmO{fktoPh2bj+O>FbS|@<gi?zDh_?8yWQ0N@}sH7dMEKkiTa5msU0z>QMiPQ
z2WTtj)}#fd-|Dr;*;zK5gGEoa`SWy!Zs@N#i!MpUNZaI<?~yN>W+>9p$QuULGOn79
zs<xqDIgRA?kCe`{hN5WwaYv4J(=7_NOPfoc`OPrAw==4HgFewHO+5*NRt50cy27hs
zt}l*)X*53g$vx^(oJ-G$o1)7{$pFFFb^&Qj1IiZX)wxJFkBfp*w4eSR>WY{#H^JQ7
zFppF-O!?-@m!gjObR(wH)NOcn5qKu-6}F9W%f|gu)#x#jCx08VAvqUk88b4%S^41^
z)U;+j3kQqIP`znc8!a@N9OLh9En?b@e|c~C_IiL1fpP;5Rv;N|N;@1l_yGYi=cQop
z|Ff&gs)1NVVExP`wgBEbC*|#Rcf3_8;Ojmv>gV}f3>FUgk}KAe$wj*)FC9csXRZR|
zb<!1Yxgu&7O+C}G`gp(utDW6W=UcZD6&>eA85xnUiQ<)J@H4Am9sAkPFCQ^f{<Qk^
z+(;Hm!T+0nJVxEV4x1(aF7B`LoYQp*C`B@?{m2AFfHERJbad`+HaxMz?S$xi(?j<R
z)agL7?6xn?ICcyoon)A!p+X%YTjxD3hPHM}6{3qjmX?)sL$T#LB8ZP;?!&|CA_rh}
zSRM_#&RN_4oQ7VVDleDOJ`w6+^v$JM{3bf2>4PdrO^`dsLnrxa<VY}5P8Q@`dDhaz
zsI+1sR`lZsMXWJwf0%R@?iyF~k`-0mzZ{+N3Xq9&Fsu?4(7>@`V%#dC_uA1mlICHG
zg2B7jO()p8maRK3E;*Lp1UDf%`il9={h%;-xRa@4hVYaOaO&;mqG9&dcxI;4#0PC6
zkV1H%=x+~D|G8kszECk01px(60l?0(uOgoAtQ{JLcZk;4c^sBZDewBsxnXEl(D6Tz
z%ew+SigzlVm5V{VK7FT@yfmWJ?$S3`Pd2`+>1j(_x>Tchk4mul9(D9>exT#U1|e(`
zaB0p;aSti{S7w(5TKc0krMd^NR8uy#VR2h~coRbKmFTSYTD8P>yDZ=WqzIA)4a0U6
zvD#R&?d41S<*D7zhYF|LF;F2SpD<7rHXXw#ZBVgy>9=C`3lIIdfN7W;)HC*}UO}1u
z>DQM31|AtXp@Rvod?+!3E&s{MnJm%jn_`{2+m;X))We{C&#GgLzd{f#2aS4<on>9s
zw`cF-W^S75_WAM2)C{h@2uc+2{?=7-m4n^p$#Cz_zs{P01zmMqkhA=KLy#M3eeI$)
zg)WUZi&g0B%109|s>8Z@6#1>(4gP<(>Yx~bm;{gDaKOh(VEv9sVe$|5+do-ysI_PH
zDn`Y}qrsb-UeS&f7zZ}ONhx<USp3i)PDO=w(<io316mVFsPbx9wk*?*#7ao`x}c;3
z>-%*<Orm;L=AKTCSJLzCiJQxQ#Dn{!=mdcBZR>rz4tRthk&(ntg0|y;nh+Q_DYf96
zJ6v{r-k;218+hc#KK#TE3?*?$<y)2mPRa*74@mUZ<_>#9bS#Jgt{;e62(G_x?KbL@
z>jCg0k|AUzr{26RrXdqdiCt3+jHM#~yg3h$xDiOlH=9~NWKhQqKR;F+9@dzk7{m>d
zT3abeN_^Kc?VgSL)0wAz>UoAN^n$o!DbT&6%7?A8m)&bf47C9!R{2k$s)nz<8S4}Y
zUoIH0J{x|i`f`H{!<f+}ddyTS3b>B~ki@1Q8WXjz07*<in9Y7cBD|968_bS=V6aA!
zzB>+Q1(;F8jMy?7yUSasFWt%FXCEIdURowgv!BvW&DysZaq{xC1{wUd#RjdBxu_yG
zE!nUG4F_BcoEby&aA`z1%=uws3m3Xh3%V+4Q)VmEN4JjKg|NICrA-U3thE9jbi}XP
z#R#>X<1XHY_C=yy=3dmhR5YgHxdg%r7Zi)fg2kV>%`V**5{*0{9>m|$mE<zcjUqp}
z2iVWEB~%}g0<=_cbKMYUExcEpn(_IKUk)zfP2$dewQU^&d6eykn)xNt!|_?FL+hcQ
zsqNZ0kY8M13|*K$l_=-(HSOZ*Q=?VD@U~EuIY20RO_W5#mNbxJL@Zibo~*&`b5A*@
zn|A;BMh=r<^cSaf9`}#w<-1b?W4)f17^t~UAKW3<0<yzNuA-|6>R+xeYXS(^H(drz
zS{nLa1+C+izDc^42yy_N0dM*N9G3NO`R^z0bz!`@fgQkn_FWgUT%LViE?W9EQ`I~s
zb5=hgE}Bi*-1XmX(wVE!E)+@)n*jA~X8w~Y)@T`4lGy`V)?urD?j=Fot}p~;htC#O
zUrafz9V*P0ILv-{E*P^jCwLRYmY?g`RszPSb>hqnGj$*dXP}5x_r_3|ppVPk?vix>
zNzw3WpcN)ncw#>~Z=1UmNLIo4_)TW6DjNE8FQkavls`w9W7?Y{$aEPcn^m%BUoFt2
zD9tc}k~*&uBO4J;RJr6P@>G_zGn`&E1DBqn---00Wt$72hZdWcP}UG}+TBCc&9_N2
zrw|r$^N|xpEj$0+`d?+NL)P$;s##jDPrTmLoE|1>!M{ZwJ|oi6zSFvxmfVFTiEjC=
zhR|vW{JnQQdXj*CsY;4WbTwW_t7AQgRI@^L_9|B1Cw}YOe7wGl=3*Cy`$6639e=S=
z4M@Ga>4O&rlezYp<xuj9l^x*d`lOwnpV~C*-Py#q24t9Cebh?*1Tr_iyj#Wv@->7%
z4llT2w48L~R<0}^Oy(I8iS`s~$4RmhdpqPYpJaXw+p1NM?hy{eS2B@M*$afTHYkFj
zAYk?&H_s4h>A2h(sESqZcu5ESp=cp^(;*EFda8qY@WBWM571}tdjwIUt)#XMMmO-W
zuq<MllnxhV;4G+7QK%JXhr_8q53NX@6BjZ`!rY>1N9kK$^_j1uy2NUD`SJIR7GCE)
zU1cGKxVpb9Z<Rk)+TPYv)!ha13G`}KFG)Y9wDm44M{agzKxisQO;_kLGs-*EaY$LR
zrAhXKrg6u9hDJ`@nC*hJ(!dLI{&H0+++)e&?>=0RpjF2ly<9Cq(KRmJ+w{3wmlNn>
z=hW{+KgPfp-%5Zb>to$=sYZma91ncmk__V;|AO4kmX*wM{o|NuPUp_CPe!Vn`lCQ@
z!<~`HEydoW2)~wTq|?i?(Ln7M@jQkmL+2CxR#lhtL`}Fi54oG%yj|5sK-J3Z+JNvE
zoyY;xo|fG7^-kO2C4j<|@%qI?YI?68W9UmgOG7VB!fnt{JLa?RCjWmM((E4HF}(sx
z2oTB$WoKA2X&vVK6Vh~_cT%JVVuGby3WXx4^?GAkMyg99S6~np#`D*jH+T4f!`*Y-
z^gHG}7Wt6&;3Qa8S;Gj~N}@@JW}jsiCYC%%7BcG`5FLC>lUvuYRvq4Pen;kS7p6Qy
zsuAIoPmxr#mAL9CgzPu-dTgKtz~o_~eX9-oAC}HCDylYI!!s~+cXvy7Bi$e%NFyB*
z(j5axcXvr6-R;mIDJVm?gmi--p8cJ3*5VgyF@H9*_kN$}zOM_*<-yN-D7~3h@lB4S
zwV3E%)e8F81TztLqpn!Tqn2Xqjb?BVvg06bCw#ay&_l1}m=Z9F02$jU>>v0UaGTZ(
z9uC#$KJydm;U~tOft%dUkKm}d0B8kimW)jz#iaS(xL+~O1bV3VtF^qFN3;z!UjDHN
ztFiR{JFrr4gKrX2cD_LzWSqZS-Kh9gVcL!`8RaUjQ{YK*z@e%6PBzz3wmeJ@<yVro
zE=lrzafMa8dG6~q2RFhgu_)((9(22>l>%{!aaN#PWc_t7UQc?QJC(iT1WK_U6{Rps
zH6mH)BT1{396K6`mo00JV*3QQpO~ZO``g`E;pKgAhaHt(L`J-Jw06|BqRW{{<gkpr
zzMP?oq$osgL(uf^@%-hkcz4M!5Lhq10Q;A*I4qaN|71O<$B!*uA69+<08_XDoUoG&
zpl<<v{m+LQ?k?glFYDyO$H-hxgg`C=&Rqfg*FV}z8!s5GxpdD-t&I+^1<;VxsmT0<
zkECaZ(e&hUMcrHDHZSk;I29zF4X(K?esRZnr;Ut|y=^lXIS4KaY^d=vj+dv^i)7?)
zoVrcxSd*-D`zS=K|0P3~nD|5a+eup~{JEsq)5s#fq17y9wa9O#;O!v%a?Z@pRy^A6
zYtiorifY=?40;*Z&{cSF!}2e@q$XS?CQ)H8@~wnq<21h$;=4Q$ee{XNk3SzjP1h(m
znnG~iQ)WEejS%|PfA<WMPF|)j(14Zs5E@*HnG!P|O0Z$>hyG=eK||(?a`~7;=k1!4
zXW%!B*`oTiPlJgWG8Lw_paW`M^E4K#%_)I;^G>&~ykS)4w`RjOe4n4b;p2Ky(@H;=
zY1|+VS0iPeQ2i5n{#Gk*)%u+t3E6K7<V+My9OyoGUcdD~pNErglhiO=`dl!N*nTz9
zK-)xpTu0l2BzwOP$h3t6JA&SOR*!H1Z^e*T;{a6YmgGrxcMboGP@_zb@n-IjZV8y!
z(eQbPMmgKFv@gmzxCa5Ox$d8u5+;>Cyys^K$Y<nymxtk0LEwPLk3+Yc0rO2#U#que
zF##&}+C*URw<fOwWb@A^|31qYXRR;<!0Dfp?gz5d!|;C@<^ZTYE$f<D@7S?Hj*uv?
zXl{eTh$JSmx;eN?p{1Z`S=V<`4_#FZdnAE^B<Pkw6B+GLo&#QdJUV~w)@$2wgBY1%
z(<vo1^tQ};xch?T+e(r65Ec%#AIRj3T2_qqw9A(0XsoLD)=u(@37`c0xd{(xdol8e
z$5!bD&n7{k_OCegrCw6qT8`zGYy1^z-FoJ@v%7NEbl66_$p8BPN=dJ#P&1L0J(@q4
zF?2S1NshFMl}TnBUcFjFwH5mQ@nPd{TvPQiV&oHPy3T<w>Wgy-(Y2ymWhT#i{P%um
z7ur|%L%V*z-ALw8k(W^JJ2Bk)b;2L9b6HHRZKWmo(Sdz%Ln1nd?PICOK#=oL;MdNc
z(kTITMVC!E*A#f#&}$!7XF1GwzTBjh4%pU4DfRc*Ew80WCRjH{9#$0yNhz9_r2go!
z46!VdIfZ-9H2?nWphh7*BXFQ+t#v^5>!xpQmLObwmgr^s-(?cE)J79PuBQYvM?h}n
z18X^u_iqU|-Iv;{GLG{B)JMXcpj;l{6$fB{nem<Vj*Vy}oX^66w-xJpPG(VHI|Q&;
zu1cZKYf?UaF3N9tbcy<uAVd`r1DCz9@5-_dyiph!=iNsg$(LISYGCawMdU6@^^q2B
zTH#9dv0>9{`O5>yL>CD8<r`H*frm`xK93MB%IA#$)^$6?eT&d(WN_XOk1}r}2GD9x
zxcGtO%*=jgx5>zTz@cvq%ysigm6QCTOmdhu!{>+4&&WMBcG{)uk=U(%4@%^5LtCBI
z7L~!#b2+spl>XB>G)in+_IntNDr2PG15ny*k6mK{awbgLEA?Ib+-=`XId-a0J<+P2
z33VC&gaHm>ZT(`$(U{GPmYi+WvON!}X;(h>@hw?s=&VNESb%D9Rw$DJ4mwpWdr!7?
zpLgY0;!|{p2Rlm7Z~_=t@yl>Cp+Z4W{BTsOIDgf2cW53JCOw<r!21NvebzO1U7s6{
z)-W&FLGP{gr=V$Tav>-oZ#B8fAsLTF0k`J6czVu$0I!~oRPe94xwDsPi-(^acn?vs
z(Jpl7DRqGV5pC~JtRtCu;_(^cuhJ#dJ8<-1m2*2GTkm>FqI|Mi;})&n+4U%dCIgRI
zg<Pli`RZZRmt)3iom8pf0tR0V!wdpV$)pb;aRh-YPj9u)lV{6hIoiyblQG9zJpVB(
z%-4nMxXz3O_$Z6#jCqR-Btx;0F_p!WcXl2bMQ1`zZu>rn=WpVMdw0>v5hnWCxaT=U
zNW4)P=F5h<ZinI9yI617N;QirBm9i%W7~B^jx%KU>in#LvRNEsOh}gV?J;=3tUbdY
z=SM;W%5;feiVQ_Cj^z_2dB+JN9!`c_rz0kY-El6XTIPV)T7dh`KK*FF;8}gUohWH7
zIpV2zPD^9t=XXbvgFY!}<LijQH@@vjjt}CPe-hfb&JoEOROG%Ce`kRyNmF`A(<5F@
z^WJ8fRU5?pfg2D%JU*RTuDf2CO*)b}DqQ=gAW{7s8K#|;ZOWcipu^X~b|`P3dEK>o
zQIEhq`A0V)fp?OWpLd$j5L(jq2^~8u;niyrgyK7B*rwk`->i1c*bN2Z-$*Anu54w~
zkMmfJRBJUQ9&u+!;nzFQ_JERV4_)<0L@75BGa_4K(#pv8q32&u!&&dk)2JO(D;{W4
z7jX-NE;w#mfnm#Y#prE!Lfr35j<GMh&G)oM2bX8vgZBp%PQSUBZ^v3Ffzjml4WceI
zs?@e(D^_|yOac?1Fh7GV@nD!xLf+$04)Zv5=)wSl?4!IY9dpWzxF>NV7aGi+Y?778
z&`ukN84|Q6b|P7I>nbloU5ph+@Y<!$H<6=m4D%qGtfl7EOvoIad_Iz0SYp16%nnhp
zFIRmGni0Mj^iyyG;_R$ipElkVNB#+YRXw36Y^bv8B!M|4obfGl-cx(1UIwXY4s#<g
z7)Yg0JCkc@7M{_8oMC%L8O6r@TD0TD0_HL{Tcxw;Ye?D6R!%u-TnsG;IDVPAGr(6-
zFj!>MT+fF$hd&qLtdz_lQ50nf_nCJnK9RqPHweTofg3Kc%sje<?-(vL;FY$@Gf@ZM
zx~UqzgdJ{oVI8At(H(5J`+Q8-0XDciNUsy0Bsz)|s0J$H>L`C?qOjI!eL@K19TrR7
z+6h95d%#&$0z?(27PxQtihbqnem0VjGLTlRw`+eh1*KxakdL~$P}AA4_WUAiKD-^=
zRrcVpiD{loT^Z>TBa7qEx)>l0OJbR2?Hc#s8~N5Yr$sapK6Q9s&m>BTSJhITaQI<)
z%YAtmT4-QmXdNH{sY3J)N3p6Kwt{bQQH?xwKM4C3^3H%q5?b8X6x@9|jKyNZAD@%G
zsxdeOf~lhvAkf%Sr#X4x3}i|B23-!>yM<DrA^>w_LyGL|BSm(XN$1w4hsE@-Api0C
z%+k$4&8-v;%m8>+OO-Lj{S2x->!-im(|=7Df|mHc+PIcI9Z$&>QE@q~*Hf5mq+-f*
zyo>(vE)+~mgoR4nLdj3}@tQEP$i&`ApDNQUN`ol-Q5ngyJlSAIaYQn!D4avspgz}t
zlyr2RQBwAxGDCGXT<H%bW3uH`UG}P#*Er%~jtHjiTB;nW-(qBU`E!?^m0NHcDw8T3
zrA7<uCT#;lgIg5gXP>6ax0I}_%TKip+e^s%sL`vH!lWTZ!H1G0ya!<-#PHYk8*nNp
z!|U)TPwI~T#5Ii4qrl!J;i#$B^s!=LpRTF_&2`M3OE-fz>z{_O@tG3{apFsTXN=w$
z-BBuC^li;nn&?^)qjxd$2;exE@3&?5Y?m$GFPW4a%RnV)P#W^q{;*>}e89Drfpmo}
zX7zaShVo;i;i1;Zzqd;)1Bqm$UzT0QA{Lo~lz%@cJEDxeT+i{guwqf_Lh#4B3A>CP
z-r0WFtsfUO>z5EaT=OwYn+4JR=M@9Ko<PL-w{@8Q*ermV7E8L$BiEl~*1RiqNYrQf
zi`3szMs&SkGtU5UNIcE9fG)p5??Fv3<&-y&&+N3l-(LLO^y7(DW+2Tk5%`lMeh`w4
zwAen+)C4G0Ugky&)oQGU2vjbymBvgZKKmhKC8|w_@q!bg6csK*I)N$iY2=O#(-yJ*
z1Ns>~>XLx~LhDY0+rpg*7=!Q%W=Ua%NKQriAq;68Hs22uXvXQBX8^%WPxx8Fl2vj_
zYgRiCuWkLu=lnyqgo$aT$keovp#?*;a6w>;Mh4W;Dk{(mdC|vwYFT;=Vky<tGCyOO
zi#dLnv(-3nxg}!&vnm~|){!&Lne8E`g)QbGi4*Qe)d@FKJ$nDA2|~~65M=T!5h=zB
zjh|Zk>E=>#&W6{j?GeTP?FV16xj+*!KuZKfLf_)s(xEkU_j9WnaKu5ChkoC7K2i`-
zdnOpy1paq;-9ExEIWhZ9vl2_(J=IKruGf4iIRb_>Xv=!?qVV>f_jJbil#}5p6ycLu
zLZWoUkCGibyZ3_mV3ayN^(|lp5Y9&Y4~Z!rjW%Bc!%0YE=^!wARek{TsLM9Fu&tq4
zz0#ZQ%`pa!*=$)1xJ7l(2<9BZN0z4d#6iK6RtoHgRr6`YguJ4P8g$|XIr#xY*|I-!
zlsmpp4#`@_&)6tP_87XB73YYR^Q@EXATN$ukM9<((653qQIUS$3eNMMsdTEeKvs{m
z8;OM2<11HZvam28EacpJeNGp-%g+{QBnk!8n1@rU1XOJuXXR8$zv$zJnfqRe5=Ms(
z8Ts4D9KaoavdF(8&l62TnWaJ#!!nI%Q}lgjcu+euU4b<v{p!s4wM1}t5-^ju2l7m2
zTfo>>Cs#bK{+?_jii^7BS`t#jSGwyj$xiSTj6sMk)~BTOwl-7G@+=_PqvgJHz125B
zqkB>}ev+P)F6RK{{Xe=YQgCH!JumBMgdSQmpeer(tf*)3k9_!RM-aZCKxXjkX?Zd#
zo|pNq-^<16G?}Ab8#L?8Kk6Oo{d6Z8tbr(A;J^JB+9vk7NCYI#MEk+iUuwbl?%WF^
zFfyxJZT~VV%5YqgDf)|h=(ewoD|cymX<ZKUZ>a;a)r}eQZZ<d-%Of{IqO6(#htJf~
zFlFcflO($LT2kNBTW3G$wW)}Fq?N5elh+Xcjy#>sX7ZHwvJp1zk)gX3{r>u5z=Q6g
z&*j5H+pg8Y0Y@-*eA|3}#aG@~3<$c7El&|CM}=rbgp6bOvgvqC)Uh$dc8FY9AieZB
z0hrLfjn}ZcjOt()IdB7roxhg%3_&~q2AT_)$S(430UZaReVLtEeVcO|5ZqsH*<)Ct
zvh}o@bx$%Eba+u%;{^Cszv#v3{TwA`rVS0dR*6iTlX_0Cv%(SGc%Y5k)B64Rhzs#m
zW>$FExcy?0zm(n;vjW0AA^a@)JzzMqZF|X`aApk2>UEn%0Y>W$;u6$y!Df_+g}6)Q
zC*_1<ayL|A!!Gj_-Jc#q3k1c|5At54IcLIE7ZY*_zhq11N53|V`Pscuqkgsc<BNCX
zzY&ln?g=FywzJ`pp1^&tkKIId=ZEp~hqwhat}G2tuYae<hMgTf1RHe5ms;V(kHOB6
zt##UQLbwK#ba(@W9`6FOBxPzj>ng-xGwpR6j67-4yNVnEt$c|e@nP-VI2tjo^!^;*
zsI)nP<lEx%^g+wqT~F<s>;)j0V3u+et)5;P0r>o2-}!AY+!4n7!>sCtt`B>kE#M(z
z6E+#@3Xw$nX6~ZPIH&+5HWP&F@{?|Bok?rL-_s(Mz1$KMFuwH}f~b`5>3aETAR=)&
z;MGyO(b(t9>c6bJAk)%=nHj5W4mS!N0x<}mT&>?H+8#XKP#r>&agZ1>ZXgZrwt3NP
z%D=+?nul(kqX*H))CnI**|5jg5%qm|OKYKyogzTuL8Q&*FHrw{G-svs@ibsi&`X5W
z{MUngDCMlM2Fiz``Tu~()@Jd||IQ?4@Hj`Bx+ae~LT%BUV#d&N$GQ%)von!L?GcLP
z!1`x7_ee;gjWhMeYqcw+X}Spt2NJQg!X<)jhDB3X;fw24`Ub|eU)t?hcObB2>9;p`
ziE^XKddx);xX$w)h@iw!Kc^<ej-~RQ;5o@<WHgaQy1R;j363#fjyED;e}%O_Wfgfp
z%w^QF_#v$|KoWE=o9DWL!kNEn3rm=mD<6dm(vq>fQm{?rCbs#gvDGFY9?I0;zovQ^
za78FLR4oU;u{gfwl2)f{O6#l|D*N=vn3Hru9yOdYFD;9}6;(L)w$@EDO=>f#X>6qs
z9FHK}G}pQ-vD5Yw!tu?++}w=#PULm*=IX}K!^U@gB>5JiSVJ7Jl(^b4flo3k5@F83
z_jGlo=I!TRM9}_Uqjs!ow}7I>pDLQje#1uU%t{hTqFe_7qw9KCD+b5I0Bq#g#;Nzb
z5advFK;LWOfKcF>xm(C(8Q?Ouzr@_kI3zXfJT+{&cgC}*sW7_~bC93UZd94C*PbAr
zrKuIs+m88Um_ug&>pN1Zj1bnm*sl;pcJ<{$t}Vo;LUBt!pNG=T-la$JsQCAi(o3G$
zUqf1C?Wh0==vP0%r$cBwP)GPeeD3laRTn6_0l>d&70Xjyji~ckVW2`W<}HYQ*6$|@
z;L-oVXv4$4OL{DfWU7Ih$eXkGM6lHdn!Gb`cpnUGFmfPaBE?%Zq$usCPF<=$Q6b;&
z=|N$XYeZe4F@~{8p1a%Ts*Tpj!L`R%gu7Bs(i<WSoi$~)KV7oEJpD#cU5~P$a9wp?
zfInvY%GkjYUsC$VU!8H;YNj~mQ@?TZYKa-xq9Y1k=Hg_}NI!HxY6|HM{CkG+>KmgQ
zsk+EHpcIH~p*F0zoF)qm*K^d~+aIVuvqI)9VA|?K^Y=H=sxt2Bkfd$49rg>TGJ}p6
zM=4pdxdY37x{I<cs0_hNtH67_@NC~xX--}RO=qG7i8eK&E(G}=@Fs>776LlK(~-3z
zjFx|(YvlY@ZFv#8@to+qh>=V8Ve6<I+q{;w<N*CY*D;#aS%lTHnsX3j@}A-9eFvaS
zXS#G?Tbezcv^aC)p#eL(Q5yfeNN#1#NX3HOAvXAZpBAb08M2P$MrzWjlKq&?Mzpvm
z!DBTkyZbXv)Wzl1aH=w^{{@i^%O-PnM{;B%Sh~&ye$0Fp^<3EJxYYq3qf?WUQVaH#
zS}MrCO!j%VVcRvz*EsIT&Qi+gNdrxZIm&q+mQ^>%%RXgIBSSMv?5h~!KHlCu@ukrm
zS4=ymnxYmh8sCd7L_<Q5u`OR-kvp?)OCl_JAlrFbFicf6KpW*^DZSeG7G|D_6j`gr
zaaN*eYfJczgXgUIayK=%2y<MoZfH8TP{q5!u3ayOUpk+3{RyPBSYhk4X3;}4_%}oP
zpp{3mV<~8Ax9KUMh^~mi@+Hzzn1reK%}P`W>CD(v5)z3e3!RHiqdA<Eyji)}a-4RW
zvC3{4vjR)u7uP5PpNn<h;8U*SMAzgz6AKH!iCJ9$JVX!A{sf$!GisTMBiC49^*(UK
z$?#PyqYyq~v`V-R=#8wECw$8{%h2hPn$*@bs#9-)oEeS}E!Rjbr04HE7n>Ewm=`xH
z!l4RaBJd_;iIl77b;F@_2)Mh#dALUWcDD0^Ux?KW`g@Gm(B-;mb81*#jCD(PZ8zHM
zZv8QHY}9F=5$`hs`}>hhxVE(0T*dS}LM!!?%&IFZ$A<{RXn119qZv<Z46)t<l4<a_
zr<%n9ByShX^(IP^y06u%EJVVQuszqWh}Oqf7G0Vg57$k@l-%oxM3yWoAw$;`XWV1Q
zIjrsbkvo5<=J@L+dApdtEF<69oSbN(=P25%X~ILC`ma{fDG+Sb7TfpR!aWLcFIvF@
z^|^`aJ!16U&#zx9zXl)NE(-_$1X%z?;D6o;6>Zss$X|mbzrq!-|6@P?su)_$6XRP3
zrawR3Vs;H{bQ*qRZ+<o1HQ~XSG})b8U<06Gz4s9HurU2e<jL50#WHEYvQDXSZ7-k`
z3@g*3wnJZWnzcbg<uomb2#-C%LZJ~*p8H~ghm{SZS^TtZuEY+D+OnOp(X0+FZLAs&
z{IH8FWd2%PO^>*~w(R$e5CzX~1Z)BDn31kXRpQnrm_xd!&G2@Ehnb}p4GX0Md{Mzs
zeHR$7>fA$`^iESLwe#lB!zeE$nrnuNyYjN$`&J=pjAwfuuolv>w;Z_@rfMAmg)(~t
zkcoan_?PRxpDy`>C>}v1ofX$YpbI8u-b1hUBqx&Q>ds$E>C5ZMGxPbBc!Vq|RMOW3
z(NL7|*5_GtsJ3(_od^jtEn71YvUDRJ7#Zb#SBX$EF#hGUAGVLMU;1u^kx8a`5Y_Zf
z>gKRE4!YI-+aH$q-FgxBFNifk7a1aq(q5zyUJZK-3d=8cmQAtNtCWr55F6f|3mafg
zHF5c8GnBS*Z&=iZhj_DPX)3tKx&(nr{-zWyTG<})U>lHR^L82D7%k~S=_1wF6Ze1d
zaxJ;DI0aO?!;}!q@2DX6(y9ol!}fAUK}r-{45w<<wD_<2O6pSfrW(gI@9lzL>R1}B
zvY`|0H7|eI7LjfYu>+$e+uupN8)jri2!F-IugLhm_v?kDw#PB}tt+Ny`p%;qH09jN
zPO@Gft47Qoi#!1s2Q7#(R|ZNx?)kl9y<9#bzj>c@|AT?~tgc+$xLGd#-GEd0OCB-f
zcNlaXu;)!P*Kr3H@o9`Kt<6<Zqi0{fycHh4y4v|@X!ng22wJXuAxXnDw55j)I5rBX
zZQBKAtMc~bdzCPcERc<18H*d9RU9oPPa+GcM@KyTiGHNfaP|#D?CTn|HC-@|<eSDy
z|E^UCb;lY0npPL9GxWwg;s%twaScaNT<}r{NrtEC#HAl>O4%LKp^A=vCXa&y?LMIX
zHV}|hY8a|NrVuOaJ>rZ5`MBW5IPu98Y78M7;jN{JJJthefo%0|QZET8?RQ^IOZ5pA
zzS@^SlI2LzN3xo#2&M1kjEc@v<wepT+s`GiEm-(kTK3<q4E#+WsWQ_<l=hRqNDwdB
z>8^h|tsQD`zo1U3_xj^QgUW28btAKgxTPr=YwX=-b3OYU&p(ueVcP4%mK-3GXVbif
z)qr$Tc9OF4n;@H$(!1jhBwvcl=8+QfY)Bq3Zn?@euN3kRJAy^X?3iOk)BYcpI^6do
z&Drtx9MX_h@Yg)t9Z7#a-RHIIKE_DFU$Lr{^dy@o!5jHXuU;Wr$#(UNzm7J15QMYH
zxz3E0P6@ue{x`WP@z6y^@zn@ACkoW(jRD{3IRF0^+q4s?-|0nlz-7hf0POWE*KXEg
zB3>&OVJe{hHu$qSf#RYSXe*5nzAw<&Wbd3P-U2Q-kUIacfMoX;eU0pgXdy4FuW#Jg
zTP!x7uV^sZkBJ)$Vnd>D^u*4?X~jEZ(>CJ58IU2OOIzrOZzso)<3_WPko0~<OTj#-
zqZ+}#c7)VFr*i!ep-47<i~Sv`mm7m8G$dUFJL+9b2~Yc>huT}duZQ8GQEOvO&}+I~
zv*I1eumuZtVgBFa0DxcOC}LU_xQq<qkM_AE#e4Oi78w}Pdt>OFovdWi&_K^+0^jpX
zG11I%K3QS0*eYVlhdORUm=$8JcwjO`szmA^)M(-S2dG=itwQZlEyuqE;H+1es^zqj
zO<aNg=e}6@wXoR{+^uboX1ehmQ27+5X<V^f21fB=kf_wA;O9^Ba|C;Rv4Drro`>&A
z+P~QZA|{^{>jj}fKvj)Q%J<O7l18xYOOy;ZqN}I-ZvJZOBO1guptYNkv~vX_WND-A
z)4r)l^7<{a3uZme6xU#g7W#ZLW80gq4WpC;WG^|#Pxvudr&!qN15S*GD*op&CB&(z
zDi%E4EhwQDI8>D4_bVB6FzMigaF@9iy`O};7q?S`Eu+Y&wZbPu{|<u`QenLiCVlXw
zhw{ug(ObEpvEfvhe2E4#{!Pid<sc;@1DEYg+`PIe@8;6TfDtKT>;{|5Ti?a#1M0Mp
zItz7#GFI&hza_(!F)~*sx$4&b#(jLmTHLXbQ}baHx0Dp`9y;#`EY8-&N7!#=7^jar
zrg2Sy(vNj3kW-a#MwGX)_oa2hV5J#K&STEnxC%?tQ9D*NDe88ZjH755#M*z#L-Sip
zycb$o`-T*(&=acXPi*Pb^p`r7Q>A<3=$^1;`O{*}kE;Zycct2>(iU+|LIwxk?d-9>
z)1pb&tH?lE8U%|g1=8T(q7ZeTEZddBVhhRxD^E>&L)MUIXQLo!k6(o--%wl$CuZPB
zxA%BhotO|rFQW9~BXW$08<lfWCJx}lyuS;LwmQ3z(D$8nl7FH7s;cGLIST&V$PUw%
zI^WJucAi}=exMb)iH6(S`ywE<79=J1J&ShHRo*z1purXpl1sxA0;rBx;Gr6eh8qWg
z&rZS2gAA*VQ3<ARND1dN9(pe{OiB^Q6&#~f_OKZiGjOjdzrD(EJg)+eW1qfkZ}ld|
zHQ~koKwrT%o{OrdM;kXhm_w=%oEQ|*btW;1Di|-vMP;_w0BghjP*uMjE1F_>TJ$M>
zq`KJ%SL?(^*oy!9x&1s`leqwxfc$%W{qN&huh7$I13oPvLWlwu&G7#g&FduBNrSEc
zRyH8O)I!e-WKaLq;6Ea+6*LG)r>{Sf0}eD~uNIX^VEK9Z$M<R@n`z@|E)t-M55Ux2
zf7}^B{v2P%FYzeREcwlM_Xii(?ieXi&~~ADY;D?+xIWYnf%9!#bmC%F^1`CRC|cVt
z%$2rd>`7j9DI>%W8qu6!UJ3)(tQ1;Kg}p|Yh@Eu*`wEZ^m1|56ujU20s((odUmYey
zLm~9;q6SrU7(xS0av;X)2#7`W#UZbt7j(OH18gmHi-KS&8%>wbd68!NAmRl~KU~Sg
zYcLzxR&g_q?i_L!zU8M6zZz?b3_`sblXr?E!}&A<Z0BUawQm$<AkDX{B=L0mjSeYO
z%oPfe9F1?pl$f<%7dE){oy~be>@Qk^1SWadV+P<}KcogQv6?n3@8gQm{~B9bF$E1V
zLxh|D{3esv;e9|H4QCc5HKF>zmUvWi8M04(oOb;~XaJgSt?V&LNf9528uLjGB*Sk{
zCI!LWlmATe3A_IQBo;c0?PNr>!N^Rgpoy@X#&hs3lu%Zc5}!v<U1zB(v~7|6*x#95
zg0w7-T!fBv1Ah0IT+%k^^v=9Z)yQ-)CHgfJt<>*5U#>;Ly{Vdv!9ZE4kH3_Xx{@x4
znoJ_x{Hlb8@uLdg!|7(gc$IOKUIt}**OrpZvoCu#AqP#nYvrw4t)29+-5xmtDn9fx
zp>zy<r*9GM$2KDi#<9J%GwNd7Vsw-Bf_Ae3A&_E|ZSA^?3$lWX7E<7fGv}fTh=7T2
z2()d<wIw2?;-(&#7QYo+=6k&29c*6`mJT^XHRa_ylYz)=Au-?|p5EGMHoYG;k7c2)
zb2e3%4^Uw}w*v1?HS0?3`-bCW+!aBlSPD4OmRt~d;%3uU&`*g;m(F-ptb{nF70mis
zDETknyEc7Bb#4LNmS<7DqgbJY%Zb_9>_N${@Z{M>NTMKqUQW5;w|vVZdj4&kpj_^k
zBTPfm;T^X?iGdG>+qQB61@9o(g;Yf5_YTM&q*Gh)Ld)6J5r2xf<(f=Syf1S$6(B-U
z6-3H+Flwvw@^e4zNy{FN@v9f5v)cO~Z_|(IXmGMss0ue-<F%r7FrK6pCSL6xGs544
z!jP8V^Jm9UYRJf9cfRRX-e_>~ZD5phbLEbLvz!{MgoTQKSc0g_jF{LId4HDm$C>X@
zpJnAX2s~AHrQNyBH(o0Ulp1+qa~=4x@n!xVQ@29b>FME)N;ur=na-U?l}~r|oar31
z!;4}@EgYg|**5=a_x1zo&NrctT}3{NV+MUhPsYz{pex0SUbXY-05pQ9y<9xu!MgRY
zMf#T}Km*mOU&yoLV0MxG;p_AIX2Q&-+!$~_0Ae@WJMED==wE|wx78)~?8Tyd;6yHq
z6aFurg#ef&W=bpXKLNw}jIe?8ib1}3?%scmNnithpBnFm;N4Pjx2;FD5=BNh^=V<h
z7H0Wpdu6O_sF5&;8A=b~D>&x#Jt|QO)Jk|4N<~^jW;F6m5~bg2=#Z9!TmTUbGw=`k
z<=ez@<XTx-Q{#Dmibk-gUy2iZxvUzKz8i{@w97whNoh3so3!oW2P+UyXz1UXj{6Bz
z>srnv#A{OySQQa3=;e%$)9>3QFL>|?Xz2%cFKxO1gastetaIS(EAQn7chmkY7lQCO
z@k#$|Tb~HUk0(WfUF$Ozb1*GYM$gH;O534x9mK<6iH?=A$e`T%hI_+H!P}i3E4}2m
z1;9{n4k*@KR$wq%=nc?AjZ4FC&}0SzAr)<m)?Zy1Jbpe|3(R|CAA{cU_E_VuL@{l>
zMX}S&sdej#UVMerNnfRo7VwpP+DZMBV+JVl?{&|6Kf5gWu+9&~lH+-P^s-qClChDS
zp;l~<lvsGZ*Sa%en2`dHtI=JkD)z^2Say{ShAL>iyOH_QY)~a$phiU|xaOJPw{)b<
zYQ6c1gEs~*-GD0H{)YXVG!16@u~Dihk59XZbEsQ#UHxB1gO_@Mr1_rfV*eBfLIO~i
zi))35nUsw!Lj#uIi#yMmm<hd=i_?aWjd$OAQkR>A1f}+Q8z&QbNALSwH~~CR)2WcK
z*kSl@?P8Ap_veBsW!*1kLXb~ZI_&tF)SaZ8B$9Uw{~EH4F2rb=V_{?rh~Q$usQWQg
zbbFV3bR^2^$||C+V1K8kN52<EX@H)=7tW{8dX4EPgni;QWAV193Vt91Ex9iXn5+!~
z89UOyZ}FAf=_;ou;{QdPDxGNOX+G~>`?(d}+@{;dGyjPGm1{{<16f~T>Li}`FREfg
z`I*5d9@oKR99&px6-tzuJ2hFlwA1@*RCT3e*rF+(ve0lcBcR!q(OoR+oh5C)wWO>#
zTocbT>SA9sregf-$H8@MV6rM)hFt;KC&aZvh~0EJbz(5sfk5BTelR&6+O*3V^<OB#
zim}h9*y%q1Ltc(JxJDiZUW=?jDW*SPzI+<k#C-q7IO<qW&Xn5XiX%){#a8!6tu6GV
zT0H@p;^o_jyl_>#)8f!mY(o}L63NGnSwZD4z^7zUoK5XRvv1s;B#}}+N>4J~Jm4=p
zMYCad++r<^!{oL|^lKH+0e9~mPVzcIoQ9+<M%tXjqJ)N7O<Yy(Io5<T`p-vFx4gKT
zIz-!f$t9W1bMnkk3f8hD&aLWax%LgbFqGT+JI*g<a7_*sEO;h#StF_n&=fek)^?_6
zw@hcNP58aBsyC;u-<@>@);^c+#!ZZo?`v})E8KaEXYt$eMS5}9o^s#}RIolfNIk!C
zOi%#|Lqh>~u&M3)#Bsim`;dRPGS?pPho9h2BpreqCU`;504);GkKkMnSO6RvV1fU$
z28rJi@ZkWRbXL9(?;jsOgac^orADcE1Ypqx*cOK-P8=w&_mYdZel^GBT6u%e3pvsM
z`-n`^JIcu8vgwg-ORqemFQiLpVDi_k3Zw0p$S1@j6X+B~PHnlb5D=O8FREK>HpULa
zgtod>>6e}U%vFk7xhCv|3C$p{m1B&<t>Tbaji90>TLWNA?k$qI2HBN48xTi>I1LUW
zMZWr)-tCjt?prWw-8ImYNYGO_%XnX?37mXf-HdmmJn&D<)F*U5W7io<h?p}_RTA23
z)3fgn7f<^fTsTl`B@d`@qF~D2v&&DJobE#tjA7>=Lc9x2R<rR~a%8XhhL*KMNt9Zt
zKZfl(|6C$;buemall2_@#fuU071dVfL_V;qR=a~sD&XXmfvs4(0QNG1kMp#ZlQy=&
zpIJZERKL32GC7mrfp4dXZ>PFBhs1L2n41V&()ZS*%0(bf`PpyUK#)?a@&^iU8+FIz
zsQXt<6bKY-dKVq0B4bH0^+^yYkMjPW5u5R9q!ngz`2F`0;pQ+A)LS-#q~cGiDt}vf
zvNcd41%!sLG`G)+@1?@YMoh-Zf?wwlR|#pP7Xm;7LNYTN;Oa$qS-G`+0Kb8L%c>;E
zpW<UJKX+<c&7DkAwv93}tLALl)cGI~%9Hg4IZG{eqE*M&k8(-wji<8`S@K~+>0*kt
zjCC>Q5-Zm?c2p%@aA2ct&Gp}dxPeyBph5UWxP%<jej%(u$AvLf19{pVk4CxadE3?E
zEQu_^wWJBtF$x=lkR&UT7M+HWMNZ?uk_2rsmFG(arSg%Zg}Q2e{(0McOb=1&Ua(0?
z+ZofUTyoShV_+AM78POk`^a?c>D2xuS?K!K6E$GhTqE8*OErXLw~A1W&3tczN10Zf
zn~zK2khZ?TD+#Lz--Tu=vAXU%QmEYvYh5_Cl}zn#K4H9z82_xW({WxY#Qu5t&y@pA
zn2EIy#{I<j>2Y>7tcoQemDeBo#y)7sWA<-afdryzdfru-77zE+V>O0g*_j&8gb;?w
z7^MuvgTBalm*$tE;>P>*>w79YMsiqUS|dCJ4GO;srv7UcVyXhAIF`e1Bg(LZ0=4-j
z2dbKx5{EF8c%}mJLW~}xBBoBJ90xped~@2+vp~~B68!PWS!v6TbBZWvwABdvu`=S_
zho7GvoO{pG^7qiL)ScTD?>!ajqCDpDL?nkmO=BRZ5kBes7eW^Ly`fjNB(JDgzGmgC
zZJUCl7jG}LL=G&#zLVzmsVv)ljFL**kLW0c`#OK7UXU68Nlo``2an7OkZ1?YmSQ{o
z8E7H#$_+QcrJ-YJQ&jOTJV%+az{a&;^@?kBiie<yYStPl@!8Y$Q!RYszP7d&WN$(F
z)n<gq{hoUL_+#X*J`(N*07rK1551=bD!hO`u>T(p7EqA|j89pU%*g$5Y~b*;!Q%hJ
zy6*l$_EIAW*8m4!e~28paR^mEuSPlqES*=GH9B6$2<%ATb$6YBb+4JcM#;Tk@8&6w
z6V(x~0G+S*;*cK;LQ|_XSt$c8>8g}~xbSxx%pA-$TRyxg*uf!dAPL2sD6-ZQZ81)U
zeW?%7{&**8XP$G>V$)*{Qhb|?M_gQc#llSZca;a1$_h+v3AxH2s|5WA<ncLw2k`c0
z5CICZ5!+fVkSY<n0Pu$8cq-~uT(L0t5RK<+`^4|I<m}VEysQ1<tGEJ|TDGK~3Yob0
zsQU_GJnF$@q<b1U2OJ&3)03DjD#-Zbl_0$tV;6<c`zmo77zDi$IM%RS(~Ce6ybhX7
zIt+fAJ_nZK_|Q{36D2|6%6Si9Xl$(||3zBi=8bq@5t;NHFrE-x3<oy^e;yv7+5A|)
zaWCKvAZP^_SqJ1HQjwJd(vUn#yy!~*7=R0r14&cy6>n>BYvfF`kFf5{xI<b<D_T-T
z#=B!b{w_fLr8~}}-X%tl*SnVaL}nos3L9ap%v^guYNaHwKQE10z(s8h*iY7xHr#)B
z45UIla*#nw@F<-6CX1g(;m^GH!Z!*@m)@9T%aS=RfLVfwA~9Q@FjwBhWPCF}IFeAJ
zOUNF+#D4#j%^Mb2$h4#|A{GZ+{|*WY3~`(Kp=Ws~NgLZNPrvx7zj(Bt()h55mMbs4
zs>Z$5PD@)YFR1AU!a0;*Ur2>)s*%BuXamyF6QyR@T^RPV8`=h1nN41s4FNucrg2<S
zGDMjlTW#C7suAQgY5M(U>E-+wIcX;TBwQ{REgz`z4(XucXoS%)tcC_Ya3+YX;W)5R
ztggB@$&J3CeoSO(63N2$2n+B?SpFiSTb#n7B^;K`%uWloPQ2=#4k2jZ|MLVoH+E_q
zC{F+GK;xDO3X>3SEExH+i&kg6{b%^;ciMA|XO@ez|DCm(W71_@tMH!`IP^twH^7>z
zYe=X7C3JC*RuaQj_8BfQwgD&2(j(m?r8iqeULzPEeiQR7{@4LCPs9cl>aNi(LlS6N
zKsX0K7lUE<5mJV<+Quw7`#9^wG*&cdLL=Fz5Lg*y<c@J-z+Ri$b?zb!^52IS_GIKc
z#y3<BV$l3Wyhpj_WnVKnCOQ66R%%r$$v|#W=sjD#c6i&Xu=v#Si86`~ucQaV-N|8L
z1GAN2ef@7wzI{`&&sj){?Tf0O{Bsl)0;ae7bUtJwyIZ?BP3A?;T%>!4G_Q;7x-qB9
zG`DzX#ckQh3tH!^(;{!$nZ)(Ns&6n+)a3{p{bwU}B<%tg>w``Jg4>1_-~<JDrvMSh
zE)L;+zNVD2>w&~kfBq)p*tUZT(LLY}UI6YAO#^vfULnJC-T{`O9iXVF9#`oYl3Bbp
z!r27Mo#U$1n_r;=%o1VedYg?+-^mN8BK;8e719N>B>v=~AqF*%WDwxh=>=XyZ4uyB
ztpX)BXqe55=b8H(UTjN5Y+@(uIT7$#6Sy>3q3Z4+s2zubMI?zD#JUP)nzXTp&?m4G
z>Zqxy|IrQk9*EA6d>~OsA-&}Ih<3IMxaQqe_0g~AUi3RMF_C(esBiA^Su1z<g@ry-
zu<K8UWwIcV^&d2f?B8HPY?q29J5kdUo*I)zKdpQOV2@rTtHP4FtFkO<m|gFh!cP05
z^wD22=JvL`8lyn7?Rk0(qCgt$x?nVe{5Pz{<KFf|ryju@B*~LSb*0|RtTmMN+9XCc
z#>ZB1Es*d)Uso&?Ik6+$fyz51GLwm6b!I8vBeIwgvbkSh)k64Dr%2NY!C81<BkL~v
zfpn<30J<V?&lMOoH@NJW1?k(b=iR4?`qCZ&ubj3YkZ{l|7i|mncHIPM=(B`IEN07~
zxzuzc>J*H(>2Bk8<u>;X6s6<GE%a*@6;Yy6FG*ymlt{JWN9-k$O~RUr2;|Up8<)?k
z9Op9ED#YN6sQM5I6z?Yf_UuqFY&T%Y$e{-`+TGS^)>cK%cg&M((sAxs>#fh8D=||!
z-`VHL0oZH$Yj(r}__#0rlo1+*dt%jOQZ@+F%~Xk71{=;!5JMZ0=QqKaHOduP>Ss^*
zs7Gzt2G<^S))c+==ltYdn#guJXDvLfI#qQ;70rN=I$tgjyUmiyz-W#&QCXqP6PvUZ
z%H&6e*6upb2H!A9Cna?Hyhsy5TqM3pcuA=&-PAEt`p*gHz10@<9yRt<{YP=^go8m~
zz!=RLMQQBOD>|xpoXx760FbiWdq>}c&jU!4_O4Z<0r!l<i_eso<V0R4dx8WN%6RG2
zd2`_d=5nel3SSy@w7!L}vf1dT2neT*nqR1->Fk5?P!A+kBxZ+*2XAUyh?x+go3M7&
z`u2GhDb?6iMrrwDMTDq{O+C-a%ibM4kn3cn=O0|MN7Bv(k6za&G6vVR3^Y!rvc(d(
zMPqy=+(k-cOO__<-^Zhs_jh)bQpVN3wL*P4CG8M_(KWF?c0QTfZ|4xqIy`epQTPAr
ze?A!}JHgBL$5i%vG#J@YuvH#T+T}Ty4`z{iy|16kDM)KcTS#IOxa^HXO?+keJ1pnW
zD!|rg^3QBV?7#cICkX0(N#{#bGM{_H*$0%&b*LOnkSGRxK((bOp~HR0(lt7KLwknN
zYU|phxZ%^UG@PDwT>E<jI8odl5`F2!c-tJwUneV!+BG!GYzTQSatBz$IFuTWm--(8
z`>zG>^yTT~Q2@?-?|r9XhcCdIl&<@K)+C>9-N^m95b!&t3X?(y01!I>!0%WK#|1_L
zk~B2_7?N~&71t0rDu;z}C#q7;x=%4L2UysPW>H2mrJhN|$iV3xG%`d~m9sxjVXFXK
zkH%rN->%^(htJu62mVQ-fL=9&g-szUQBKlmFB2Mu)u3_vpH_?CACC*Vp^6OA^>>2c
zC=QrG-LHt5dy;p^_>7?O!6xYsDuG3cw6lJJ>QEkZDq#yVL2SKs1>1M)czx>;(h;|h
z#p66G04FeE*CCaUhu4Av3f&Q$*xzc<=sD$^W|;jWO&cfwdZc%2+E1?y(5w$WYEV(x
zf+2`#3CoP(2;fpVQy4uz>y@V&Wo^K$p0QEV7Ln1xTzj=-D8mqkM3h^f_FwZ^97G#%
zuiKo$<~?G(>HD!r8(PP*x;I~jS%r|Hc6ZEh9VS*l{6zY2i*WB6)+d`7XXJ0HjywNn
z!|}`8>Q3C*_p<S?ker?$CAg1X(_);48?k8cqC;iC#cu`#rGFk9a7;LGUEA@^edo?y
zvNpqAMOyA<jF@Y>qFhuk3(w&kxt0kdrgq@E$zeH4WD-iSf4|pe*cyIH;hCUk{rX}y
zFvMn10JdBr%{98AO<A5XSo8a{L2v~T@j`DU%VLjRxM&UG{No=1?y~lM0CE`7Ir6Z8
zKB)m5wh2Q1jR4Z!&!14*p+%+<X#JWvWUDadxG(1*Ql-?MCIB@mtgiy^9vA4B$g`B1
zfTeQkOnMkpZEK>tIOb*s4YgTZu^MhU<u}%d|47jIN?_SBEQIM8Pf;7daKJ!tWKbpj
zT-r*^Mr0I{Veh927vyK=^Eja6T_r(u-&r$=sv&M7J9jK_!qN0-_fbD=*!0W<`x3=)
z7QHb-+!LD*;U-w=NYL~spPivT!#D~Ey~QE@;~<&xZ*=8LkC8Z8)mA-pm=y<3S66nq
z*Hzb2xk(c84lJQep8W{(GDUDBJ;B1HzaW=&!`<ZnjlA`c`6lAd-GB43cKE|Ov|z0R
z-Cf*n@@xQ<_@jNd(=<#N^LN{S3V{+AXOLX9x~!Y(`?%|p-DJzr5+p3!6jgo-m6K?=
zVPh}Ub3Fmu)(CK5!89x*uf>KG%!dPpj#Yo8u3d}rQj=}u@k*nk!kS$z4{kL<IwsO7
zvyNiOyoyr#!7q*WjgI0e`b8g+9FaXvMrL&^Cw`CPCth0l3L^~@TS1vR@P|Hj+L9KO
zS*H$5{|O4#EMtsZQ;Kp_LU<UxhZmlNncyh&vW1+DL@Eb_-G_oF8t5Dh_z=@(Ba$Zh
z?J3{}u&4EX>t03g8Erd;KgU8L$Oq~=$ZDgf#%`0!YA=m(+x4VJ{L;R#!`dOBG(P8v
zy)gJ6668FCb6>J;rMIV|jIbE8{gW5$3Q$FH&fj%*I@5=jPGJGr1;8nSc6D+IE56^8
z@N4<t8oX-0;F&V7KEZwa?W+iV#a3-#w-7V+VuCnki$UN|bmwLu6*-ch2B(K><GktK
zDj(sY>fjY4jh3KM+SV2_2SlB07Bpc{%#9N(#Kf+&eLB&zFrEuskTo$a612LR?+1b|
zs@^gfwQ6Vd@-jiX@Y;71M8_LJ`7YFN60pa2Z^3%7i0Af|F&XMm8N~~UQY8KRnAaN}
z94>Ar*<!)`GQoGasMZ?QO(ktB2ndtUe?xCJ0{(j(cG8+R9z}m25qMc1PG)GjGJv1Z
ztIx{2R2AqtMtHg2@5grB<GSQV`!fNLAD&l8i*g`)r!VD-_^K|J@@!#o+2|92(TEJi
zB$RH@>0`7w8J0dOOMXrFaK935!m0esQ%d|3f{7H7C~6U0P};b`ZhK1=N@vgp-z7XY
zjyj$=!jXB#c*L=C$6tkvrFhuw5f?4-y`3}?RueUWHk-Z1`E(Rd;G2UdqGN-qlmXAV
z^OWP8l2FQFyAezEH?F~2kC_WH6V)k3hyE(X^nPgl!F<_v?@Gvf+5S;Z>xUu#`jX|b
z)IQSP?91LwZEF*`JUl#zk2rus<<PJ_w9+3bM?7f?*yS_zNOtQb77QSgzk)&^NUgNl
z<!$F0%Q=~wb~dSh_kXjZxu|ZF{b^vrN%86#dG6Xbv-Ipa(^{>26g|yEq-V3Gtr|dA
z=3#fpn7=PvZJlx@TxuG{ykT+v+Shkl#kvB~IBHi@Z{dRCaxn(fqm<pkQN=2qlcz|L
z2iYtVLD2^Mq1Ga@Q0QFczHlZSd#R9JQR#0r#G0-UBkz#6SYd=hECeU|Haby1cT`JX
zofUZXGe&D<f96^9Acbj>qTs&eD-ghE>M?15k_8)?fF`z5o>n!rAXhnO{3G=II;1$P
z5xya#0waGsn!eH)9xwE2q1CeUxo2_9Q+^h7^%onuYF8~{xqD9|U7~sN@w*d4wj1WU
zlW5{=>qgs(6R~kj3b~sB?ZpRcT4kJlp7RhZ+9|n66RXhvc#Ib1vDge%raIT0%8PrP
z>4CAC1UMerhq1q$^}<s2({7<GAW2Pc<(tqy7TdDztRE5Ino%<NyU~p?5js3}qTCm0
zU-pNW{1`uA`!iIxG|2Azt0XY>Q_AJuQgSM8)7x;eX8J^B@&wP149XK@<72-ZMoLJ3
zAT5y7VAOEFX3zh}aJoGtV(4Zfq2ro@IpjNym_1qRB_zMM`G(ifU`XMBAdN8Fp5NrP
zNXSlNiUI4+(n5fAwZX}PCC(u@4!iGGCaia;!D=>x(d7j4ghlrG`SPP#{N@ef7&kdB
zKs3VnsJ|pYtWa?Y@FdQOc#PoxHEEY1>ujYeCx5Intqi>$fEF!)1<{NL7{Ak#Z2b}i
zQsk}HS{MF5Q7ek$%#H9!`MHx+DW~0m0|pY(YJCIEICiA7(ik3?_W&)0M%O!DbMPAS
za#Tf7K8Vcr<&YVK)68^YMW%aViTLeZdtK}v2$jkT5np-*jx;qSiv7jM33<?YWp%44
z>EGypPSQlNjvhKJ^KR3FAHi>CmltH=6op4_kryd_*G*^MhsIgkvym%|=E71$NUovg
z%&y2zIg1e(BqURqV*H0@11Qa6{~s;`;^OBbM_|5{xTsD&mHNsffv@%KAX0eTO%DA$
zZSFGj1$R_1X3ez)Niy8av8h(<hsH{0hR%=XOzkI}WJYw5DrsDC%AUlZv;5*uth35W
zDh#MfQ4oFR>b3cSBn9=g;g%U%5|#qqfnVoLoxiHTed(<#9xY>P)4s4%VOFNhC#_B&
z#%{AXbGqKTCpnn^Qh_3*XY>)-!b?P@^z9d9(Yb2EXSU)oGs34Z%0P}q?YSeTs{N;z
zwk?m{3%){kgXf)(aeFH`*rI)QzBmN}n1-+GP>lrA*5vzUB(ljczpUO!+<rM(JCkx!
zO7u~lU??u?Vp2IHy0WXoHQk{Y@Ld_(*Ne@06eCw4WQaE_hmvp;Km2>?@Bwc8TYXBv
z%OGH-HeAk<C3CFv$nQ;RMBX#I-NM5!NLT(oIitPmOk{~)r$-nTH5Pu?yo3;hLZH;_
z=Bs(ugM2T@PG8}f9P9RDX4o<30AjX4$(I`suZY0L9N-XPy9=ESg74yLUD)TIJ59f~
z{=peq0OaEI980qU5VS-r%H&DWFPdPq_fbu^J{Pq(+^4ijnNF(`%&9U-0>q^gqLK@-
z>d|6R-EP{)-kp_iSIJ0%_0-!L0z6V9e7#NF&EbKf=>v$2F`vYmOWuy5XT5G!?f&Ry
z8h%bDaiMSPdc6s9z(W2rg2T6#a!t{*{QjmK#rvwy#y#{JO*-1q#o)_zad@`f2fMRM
zLY}+~gNEaR%M~tY@QK%ST+$nm&%B>T-D2KKg`Kdvj*xbsvhVa(3WUhhnjVdZH!P0Q
zgHa{5aP=awYoUh=%(K!>918ySC+X_?L5epHLsgqX9KVr~td0^s{_G$!Z<5Sg3Ie#-
zH!9KB9}FN7`ELTJl+D{t%;FB9v<W}ai-k|%YgnY^rv9wftiRbH8d@;Y%mZau78b3$
zQ_5ZRY&hkRNJU7)eAl=nUufV?{_d;;{oQKK!sS@QcK0pWoCBxUa{{T`%pE$SR8TwU
z{$V3IvP+Hu%PBuxU)eD`>mbY0aXl}oWOvT0j8rB>f+HG7W=9^X^}{P23-b?f<Yq&r
zJUeD%A-7=b9+(ZBPEO<xrlJffba?*zZ|LJi_GKIrYTrFD`Ufno7^OtP_al_Q2-;4u
zm3|uZ_Ea~mX*otMq62dY;79nFc=N0AF0+U=Te9LTAP55n5mM;(mm5|9HkzBlgaeJx
zDWI6v;eDUTD>n&l9zXhBEL$FxztY%RR+jV2hxB6vQ-0vsqaTH&#u0i5Q`W^bKd)U0
z&nQEoYoCXTvBHZaFJ@V2<*V17VEymjp_4xPD-ahG$+o$Fze0du#^G?AND>$0XAqQ2
z`TaM5xC4J$<Qt0p@_nsaStSB<$p$1TWC@z$j8{-S>smPg0}$s4j-fQbEhd0boI95H
zh1|;yjKfi3$X(n94obUJw`90EAn<YVZ%UbfXhag?XZzh;5Y8<Qz@nGOO@0dUHlf`!
zKN}Oja#92@enGAGxJY+M06bBcIW>(csUA`QzG|TgM<_M<=L4OUuK;N>*pb^!Lq=eh
zz)w>2Au}=U28VBJCrcN?uuWi<7`o&(7wgp*xYl8VkorFW&p<H01t#~rG+0b?%%{ZC
z;s7z;3vmqcHJ&rAb+JW$9f~e(NT%d9q|X;D3#}tyDU)aErp;?;JYSief<s;(_9VeJ
zRLmkB-0$!n-uJ=Pc)lv_1CqUDG`BtXliD8mC%)&3v<rK19SR1V?C%5cStm?_fXsN}
z0NRQqF|xZl(yMD*hsJqqHZ7D=m`^jD&Ik+|>O)G+NEvwFHMRhd5g=r&HEGv5ZyMUG
zIboQD_E~u-W35Z!U;^-z-k+b1_tgSD1RNvC$%$fk-rLUN{HDRhvWbj4Zb<^d{8b38
zO)0Lp>#!xuf)jm!K)br3`6ZM6S()K@mPI!DLx*!7SF0NDu4~+Ex=;+G7*c{xMk``~
z6*|O_{lal-`*K@f>Di}**2m{nGEBlX7+jB0<_+&*F-cePMF!1yB>iU<j5}zpBGxUL
z5m9UY(~uYBbKG_oZRfFWIxII`=wfkbf&o`L{*i<;#@~H#i9w;h?%x4zawDu<x@XC3
zs2e=*ZD<wd4v8kjM|_^?J_Xll&0P=a`1!YDOS54%7vlOnpO@Hdns`&0d9(|VI%LEm
zg18=9la}#v)1q!&nA;jBvm7svOO&~eKthzX=)_zWdl_FRD!#bhUN$^r36%FFi^Tc$
zib3LUrLG};1(edzLAQ-rg$cavfB2zm<rwJEI}icr@$WnFZz?R}5g3vnA7t*6z<w#4
zLu8D;&KzI6;rh$}RjtF#s=;#8MKhr;#GsOCIXq7j)-LXj<7I~L5ufL1!B!lTyl&vX
z=h!Wn`W!NQqa=#}tGriYRTD8%xF;G4P<{XeiaDhEd#eHg)>;9XQW4NHz1Yx?fSB|w
zc0o(IjX-MveFGRQ_a*-OSl|isNj}%<<O8cSYGkGYIA7B+#o~O@D#SPnP~o|NLUhR1
za_%WH_vG;y1?|%w!^TN;=xOa@MzjsdllKGQ+xJ<${O?*T{J;Le-#Fmz?;gKMfY5u7
zH&+!dmkqR1_|5CtR)za1M%y{OyQvBM3qj+_JjctU0$0lh-=A-=s=D}09nW(7=G6?R
zi{ilnruS4azUKDf&^jVP!J{d)4<F5nCvoHDwnEkq<j?G^N8MRUP+A`uK|C1krj}UN
z+|V&G0+P9bTwsczi^yQ$hjbJkV*_rQE+$`6cV?KRYCX;d++qTT^Hqx53kD0{7WmiK
zoT4OjTnCUhwqLpt$j2Bm@Q$EE=TKW0p8?WfvB)xms%}NK8?iNrnPfv&oCMEQ*l@Uw
zkt_M6tE6B|02T!3#9&ecp&S_jbzwJ*j?|8xRien#=gEMY$9BLL+LYn}-has8O;#}>
z7yztSl|DOd`jMRgauQyKWRjm10$4Z!N$!{mN$7i45<t4CJFG;@Atk&9i)n^3)2Lf&
zNvs+h*Knf=7&)5ey&{FoBgd+y>EF`t9P%2FT0+;g#d6bPx#<EMDz(XIoz@zDv?Z%h
zGW?>hPYmo6c**yOhZngoCzI*kq+o~T28NE6ycUgvAwq{K1aEBmQME40QuO9e*dHbZ
zeV)=3@HOH0t5z6W`P81<*~DU#g&WCe;Q7W0rdBK--hb}nd$9BCAkpfBxne#*eqLf#
z7_A97U{eNBD9XsDu?N00(_<$Ps8s*}O%DXriX3cP0h+X-wUgUsdTy{hM?@l$=LXg~
z%u91Go#fs;817wK{@eCzcY%w&1TG|TtGdIxQ2cP7fU=`0nXXBo@i9Zron9t|lt+1w
zP%NPv_!zb#-<P^|xUE`Pn;3($39VVg4AhvHIf|T^gxqGg&$MO8G;_|Q-l1Jeg+-cM
z9B+)XtIz}Q(*C3(z<s-EakFkiOxceiIdRTRaBnTMP>iALO8TDy^l)CpoN0}c>|fRa
zWri%badKBi7dl>&Q5$LLHZ3s%n-B-Ku3r$2g>X@4khi+`?2Dvd9%pRp6GddHT{<mv
zFf>T|S{>`VTHkxFlhi|C*$n2o0%_=$xrv&SEa$_q03YM<+3FWw?q<2}o7cnrKmjqf
z;(NgHF2@DD&l{FN39*t5(mJs{eNbeTEsS2?C(ydqwrQVF>s2zyipD76x-h^2rJw^s
zC6o8zXswH#UHrLaLG1IsIm$RIaWpQ96OE1Nf(chk#D&OOvjadu&fRb@X_w;n-3AWj
z{OQGPF@_Te5-^zWyzlX1se1QB;_Nb(mGM;gl=u-!d<KKV9D~H}r(kwhgzgrK2_K$+
zH!W%UpWifCRvp?vhT$AsfpiQR=z~{@cwx9GO*)GyhaB&mP^xdx)-&eOsW`H;zyt!8
zx&StJqT?(|QStuZ(_XsodFDCD-}5&yrqSXViO&ZjLsAds^)7QZ=hO4tb~b8*@;v5P
zjSDZCPF;m%rjg|ungQ(I^AA{SQMW#I`nAC+zIP3HZi#1(Z^~HS<sn|9ALKf~&xpK^
zp08b)`|`36<8k@t=?Uu38Tqr(8vpPA>t}#)`~7ZfyuGTRl)^VJrZ}4APxt1a4f*`0
z#?`8g57O~0$Jv5_!5=O**fgX+s1<O!DDazCGaL!w|N9IE1+SI_3RaDcRWuzErsG+L
z7omOlu}n$l*_zwNw&BkDz@l-Xl5FF{5RQ^64hlkqR}X^yZFV4OVkKta<O4Yh?_vX1
zt&LXkV=NyIG{@M0Wo{B6r$xIV5Vc)W^&>I<wwZuF1_=!M4OxIjFff0OMj%fydTbS$
zFn63VC%})}0U2b8)f!RBiIpZ#Z8%ZL80aMq0QvzLZx9+VNE@gUz;AR2Q(}hzVx_77
zo=F3g!LR6GNe3v}M^qGaj{z1ZDw&S%S`1RA#70HkHHFlkE~|Cyq-V5j(HI1KJ@BOe
z+SqX3<Km{q59e##R$UB!xqVJ+g~HH!!pY^yJjcl_N0FPT)g@h5Gox`j&vCja;63Rv
zUay*-i2tn2h<!QBKN!2#IWiSkR>c008e&ROOWLF$phgAYNV2}#&L!P0v4%0I7z4px
z01rxZ!kQ$LD<IAB$OusiW0C`$Ec1L(gZbk<qIMHAY59K0B#41eZc)}+MaBuld-LD;
zkj%zwC<-dl?7@2<tN6@f_n@F%y0~{X893dAC#e{+^{+$7U*q%7ZP7klq}VbZ156Qo
za<JL^92K7{3Cd<!5cW4pTo(oFEILQb6}PqD41!p`_A)UJ0Pv*Hc>Q7l?K(iI9^e$6
z1m(}};ow2<d{tuNY=eh==A!o=SF0AwO$!AQ!~f!Jij&!P>?OhDz2Mp4JRfsDah+2N
zW2;C^V4NeJ)6PZ^NQ$C+P%Of&?L+O~y}-NxWQ<D8E^8fb)*Ws(E!MRaZGAp!G*SDq
z?>WN8LWCD_(})hP=j-hfLyU`M{F~gqpBYWXnn{MDFkmi=jF|#{zja@YR=t93G$J~%
z>x2v9Rbz#|ukHOigJZO2Fo>n#;KDJ|SxFXB=LD!Jfe~OdP8hDaa&;L48hMrBb%pPL
zo*87C9NLMkSm0=yMYF%hj$I5Zd7l%DyU*x!mQ3?H8DGWgkY<nEL%66E0bt$-MC>8|
z4M-ZY{e3V2WJQr-y=mi|e8>~t+v~(}5U5We67N+-rco3GV1SFoo*DTPZ0G|={k<Wb
zi^SJ}A!wJLlfL6}(!Jyuz(YZKAKO?tR`5Vv<NNDhcz(rP^<K8Y_V==IcIld7f4m2H
z5L<Bw)bv@av3SkbpU+#3zkiSI&cK@LOGd!^$k=SHN8MQ5Zd$CWF2)2wQdGpibZlg(
zsZiz_ifnf-mO2J>G+2wQ+;IL3CiV+D9G|2jsARrLhS}KQ`5_4aJ-2ur*lmX91C%Cm
zgD4Cnomh&&?|Np2Ey}$1)3pn~6OO+V#UHLxD@8F|Vj?GSFc&%R*uJL}t;sCg6hV5G
zaw?@%lq;K-^wo%XvkfieeOWIrSiQ+aCu$B4&pWJZGFKcv-(&X*@fcIy80U95cBsH$
zRJ`sh{I7riuitT3_K#m2KzOrm@x%EV0Pw}>1TT)tr+H)026%Z}<6_yw>hpY(;cQXh
za@pX=%L+{hB#c&g@&9M<PkLqBw(~&jn{%y*z4s~Zz3<&iijR+!n3*aJSQb(w4HYIV
zW<h5HN(gBw38&!}0sR00g8J^MCpF{_K?rKNC%9vG1OtW|B48PWL;@BKH!R2?_2@^w
zcgu6mE+S&BIo%l5H|JUrd+$@+>cs%g*%2$&nroJ0j`7V=Jioxtee?uRFCTBcSZc-1
z-GonH?(x|xNi<?vIL%e){U;l@6x_a{dk4o4w0BuDk-a8Au-JiS@(Z*ZwlG}HY-T_M
z39VmtMq#rCe04i%`=o7mo+-F4H(6Z`$E*P*xbYYa2@r)^g+^l@Zf#Oqg~^mN)D?xt
z6f^C|b0Uz(kqfHqiZN+6!u_PoT>wB1WX$nOEWoWZa}ySAQv;lv8{_OxarjzVxoE@I
z2(q1U>q2JkE%@y8FcL1<yA0H^VEh7tNM=#XRGbi5SvNz*_dmMAcb{K;?dMY|6(7I2
z!ykQeiyIZtrm0{UvI<}sR~K=>@ce4Tdr!A`dLf4;ukI#%_G*utyUEME+z$B8vn`%o
zjkw*-`21RgKjUpfPI&+67VkfO^Fx=1(lpE1y}CKz)!pO*;9O(^nh<AT$bFPjA|YxS
zw{FNHI9=ZzaD6x9`tIOK0o)Zs-^*F-3=BF|2U|z%_Gi}8rU=P>^4SiUatELs6Y^ar
z)^GOFPS;tP$k`HZXgtZBfQoyq@t9bVNVGPspZUPym}QN-K9kGXVG7Hs2zaf6B;@eG
z;_G;S)Ud8_OSsf3YSF{-T-LrYCB*h_0RRU)xe&nVYBONF9h;C7DLp>6s?CA5y|CFA
zE0(|2$65K^sXMVfa=DSDM4sfV*=Ji|F@9_J<puCfd(0^iaaw8T>3)KH5jgN>1DN1I
zCLr~@x{yrsdB`zW^cAJHZeOR!v)+56so1s5>mV$3<(b%z<W}A*8GJD?Q<4W5a7OZ$
zzAGpAfvO#Rrrd%Gz*4ClIlRVZP;0mhcE^9nzBbLpfk2BN&EsWOyRr_G9~5)8?wpe<
zmXh%0ayzuvlO!MR4{{iNt8smIQ-leaX0z-LnZ%Szuafc0ZvM3VkYol1QnDRzhn4bn
z6cAAWjX{I;%VD=2Hdy_wPK{N1rGtUm$y0P~DiJe`V`f|ZZ4PG#{K7qvmFQ@n@^%7(
zY~GvlES8yi_-O|z%J0nTXftMf^x-r7_~VyyKvXIYht`tRfz47d&+z06d@y2d;4xuq
z!i13XcuKnatF;xP==1t_Pz8DrRRa{Td#vp)BPLq|l&RMHCIE*~K^KojYG9dtCf;c6
zJ<Q^|-o!z-exmtd0OL%6i1m$6R~<(_;N~&*#6776VEg$V9UliReE7xky3HNy!h*0u
zo-0u12xVf)Pi6y{wG86{9;b6;k1aVIH`irbYrSV#umAGl!y-&VX|LJ+OWxao$B1=g
z)L6qBAbHPrVRNg`u50scxz7XBJUcKq%@lW;_e!#E=g>s<&Yth*-0tK3SW2HtyXPWF
z8)uiP>@SDnitOTP1&`qUu0MD<Ma{U-40L_5#(kE}p5GU@(B57`Mr4;_E6e#{0ybm9
z|LU*)!u=IJLEkEX@MbsRKmPazwN`xh`2~LZgUdHB6f($Wy=Mzkl*<i1eR;r-KEHE|
zzA-2K)ccqC{!cx@<s+5KQY8cDX9^0kdtgptG4lSC4Zi!{#Tx~JHi77tvY;NO8M~=s
zuU2%$g|lGjCcqg0$jrhNNRAc52}IsyMq#rCyrK43T*Sj1fDgL{+X;MQ4XDifLM<5$
z+-x?H5}V>u$zc~Xb8G2Ms^dgsqe9p@5y){0i-Qo-c2gwIkeD<PtA%4y*tl@a2|j@Z
z|9uN}jg3skel|tTk--owk}6jgWF28gMAvN_W1&XARa%!oY$~<Zh8I1%+Nkg^;PzoE
zxW1c^bHYc;N7$MqPE=E);Cxjymx@36>=r*%t88<h%2|M(F(+JIjJQ<y;rE|z@!k_@
z(_AXPxE5Y|@DoD;4?lRe#h4Rb+#K-5&0%3J_<;h4@2U?hrpkVradRgp)8@|1uAK(n
zaA*Q1SN6ud3Iz5Fvdj;$F10M!+;;1uD+P<5T#TaZt_V)Yz>@tG3b)0M5+SgtfD?i{
z3wL70#|opo!-TR%%qqZ)>KTXqy5Fw?F)58b8DM5go4X~cyRW(SU1-eP$HZoxOU0dr
zreG^1247p3Zx)J8h$NnXR^eo80p?*|yXdZHD<3u>K-4t=HsVQ!>(*vSc>ldC+}-UP
zD>Mszu*s<@la)~hQXfMGE-b;r02J@`Gd_K}!|ovQ7l$F?>Baa~tfP)uDzegi3~X#-
z<8>gSt$Xucu<#|U*qPg$DTcNVo?VSc4}@)h3%~*-`^YunJDk)kCW`L`CxA6mtQ>&R
z_G$%u@3qIJy%nVtKmqMq&7xQ8XIATG$!p40tucSta>Qh)hfrfllEpgOErYZV7<jOi
zWMEAxSh!1@eEZ~Lbk|=~><^t{Z{Ht!pd*&SWX(Tjq$=^wOt!t#q%90Y%h;G=N!Ja0
zvpM4b(f9s~0Zs<o7*LbQ@{E-09x$+Rw?m=H<{EmSH+e>3^CU7p+lClW`KE+b&N0g>
z{{9e3>HZ`or-)_BQVQ<&MdN3hyL|9b===*yQnR#W-Gu6f<rf1*IUb||92Rrg+{6dj
z<j5io&H9Qq1h^x6(|Urq7G&!WwBz$=u}?<{M=<8N=5lPZxNpk?Bbz&Hg;j_rFreJ%
zb)9_Qf;-wy1FZG%!uDPR(`pSJ0u>UUSv!v9d$Yb4@R=>!T6f<u+hGEYL27v%CuRX2
z7K);``fELa;x7YEHeVM9Tm3p(Sx>J+>@J^m;qTS0_vUWWgnzL&IiE4(BB&lzu{bbs
zu&?XGqW9Xw_Bl&33CkwTkDA}?A;f%d#-Dhf=^}ja!k&GbA+^a%R_MNQStOzA!h%$w
z@eE2C_%D9>Pruf<`S^WX0K(m2#vlIZ8gr?5ezn2Ret7l9086bEFK!O_<i*ZSQpKHj
zgU?>=@bQbiFPzPg@iX7K#Ls?sh0XYIV6c>mS9b@u6ts;W5Eq~ACgX#rTeTE?y+Fp6
z3H4?-xfR`E(pVK!#r`k_AQ<vd2n2(jtgBLP6F!GYZ*Lj6rp&$xu{Ge$e#RYJ1Cj+s
zvtg);<ra-OtN}S51)m7m^9BMQO9W!4^y|UdRdFAOb0UzAN)4uGR$#j+0-%fHGJA$9
z794t|_#xJPuS>RR*ylLqtj%U&fqF%t&8{?VFGfs<aKo>qkl+$RJnVP<&<I21{>Sc@
zO(nq~W85dFo4MKW43tU<9;+kMe6{)O!uyKi+y7fP=YR8gJ<SC_{PY%o^4Xn+R1gr@
zTv|68Z|mvh=%C=`R`~AjFyk|GBQ{=|6Fzvh#rsb-*iYr1TMHJQ-;s<aKJTX)xBKFN
zQ7?R%<&MXnS~-D!Of1pERB)r#;WsA$L5t6Lbp#Mxqgn-QFn2t&z~QwUE`jaoGoT7M
zfuUv*%LfByS>u8rLMYT)=p64rgGSj^B_WeV4GH+{+H;Ef`JNDfXJb9cC;W($-?^BZ
zS-1(i@QfrDDz3bQ0;A1v#htFe6bc5i>{Q?0WePQeZPJ%<0?jAW3>uoSoFJ}v7OQKG
zjtSv81?afOH;z4X3~WqE-15G7wa3fb2^Es0<HP3{_~6+#=1~m`#x)mcS4dZY$TuZ!
zFCZ3zvmOe_JZRf^v61!n>{6`I?hZ5l_*3ypnM%bIz0PrqrzwCaw!G}gl@GO0WAfw<
zV`Mx{G>;e@lI>3RCy!+{tCB4*QWr6cu|<HT&ks|u$eLzh4VXRtG{;pnVE8eLZEuaU
z=p6-PP4;y~l|aZiKu8{^uOQ+GvpexI>J|D;r_9@Tb4$IsJK&XCb?*+PQI1Ph>!dN{
zOtU8D!)kMTGYihC7W4^!Sn+OSAurtq`!+7*kq+Pxz6!Ti=6(D5)kb1xZUjJDi$(S(
z#Ij~TFPda1wK_oPNd`Ke6>FfiPUqk6_Ot77M$eyY@a$4z9*ZYdSlsnV1$h1167}v@
zdAC470HoC1ca#V)GXQK=NKUDl!w!`DbxEFLd#UYNZi%*%v}TQ(1D769>*PuXwn|+d
zL>>zZ5wTk5;89bA)v-0iT~LbvDo`&u#v^R(g;x#A1Cr0zIK)DuFE;L@rd!jPHdd3g
zuV*~~+2n+ABT0?yz1ty@sXW$F`c0?-ua5EDj_=x7><+WXZ#__~L+b^X$8u|^5Mh;K
z-><62%yS&Zc>F}|=e49TN&Clo$mAkf4%NY9`p|&hIaOFp>f~b-){JHWZ*u4w9n+!u
z0~THvr^b}MGp3ckuK@n1fA*(dcgUrmz6}83G#C8AkFIf;3a&0j{QO5x-stqWR*Cud
z<1cm|dt@9ko?edl{M8Phy^8o%mzx1U^W97Q%y+IH4BnL@mV%$W+~f0Cd)ysbQ1D_q
z;De{(KKu|Rkn6smipLMUxs!nQmW6J2n6Y<hF35y$X5OCIB1c?;lu{cr@GWN)o@TLd
zGG+EoPfR_4I)OvXXpUI}US15?c$T54qbQyh>wuWM15vWTdMiLyz@&dD?%?o~mk4Cd
zB>wI&d0_9|K{7B;<bKd7Xg-c;g&E+jf_=6#nCph=126>*t@0wLSTb*H+(S5&2f17~
zao4gguQs^5JviW3xj_hdVb-~4aXg&48!%Y9XHxermE%}R8x#n!jn7Wr*(z<w8ScAi
zdm>p*NPmRjXP<fVZsKFohW=PUk=^-rhZ#To^cFw*{0_VQ>_LiiPVNfz<U*1#eei6H
zXO|<)a`IZ;h_A_w_+m5QJI}Yc+6;Jk`*y4adCrGhV0B^iKmd`E0fwO*n4lrN_Q_U&
zf#**~TyDoE!~0|DA%Nf|SqMG`5S)uxAKq$g#GAWG4`^Bir{TqVdYZ6|50(==w#%)8
zjHV2;1p^Q~-jsKaCzv{b(E662;qhaosWgAlfpGd;35$jP(8BmtZ{1*ulJgH&df@lT
zc$g5HFbq)OGJ_Q_Kn}UKUCdeAXL8bHHY<YSnoxhAYq-sCb{8tOVzU{r*919sFauLO
zNr9}W1Q;xVg`VyM1NrxaIP^63c(D=rY;C=q0vr816d3UFfLoJj6J;Kf0>a9D|C#s1
z!`uRnjm$EHT)};Rw>Otxsn^wZaDLGDO`<ls<yR7y;KNj~n`HmB1JjDyfN?32#l;aa
zu!)mitc7SP6)07m@M>7@Tb~X&H7>!S2;DzNfYY(V5}+>oMKgR$V0$3ewt?S3LMi0-
z#&RDii2ZyyMhWn^+v8w~jv}6~eP$(<=g?d#Zq@ZzfQ=>4Yu4ljR6b^Ja4XEr`*&*v
zYwN%O5{nV*?xRIrZVwvc)_`dTURpr0Ibfi98GS|oY}NxC-#6MMdj^U~QW=SdIcUGW
zDW&xI&<RGR6ui6@UGdfJ!Ci1KH16f;_l9?XS*UNv&|QwrHvv9Hmblx=e6dha`#D_I
z+oW0`UbX~&ff%1w#+1*E>__r&@;O8nxCzcj1v<yc{pKOmuX`XYrc9=?zq@I6z#FLx
zyWw?<y`)ySMX~cMt^b8uw+=ajt#S(`C<8r1IH1=tu9BQe)v>Dp0N4IWL_t&n(m{}#
zdsn?3sLt(P7~?cDzcCBWAr5{PKvYgA<-SwlLF`b0`KHMhH#?CFZ+4;wmMRC4fT$eq
zs!SosWWUAw`qSt8tk5#Oq%U)_JOJ|V$;C*Xcv4KMXxb3TCi#%9c>7KfA5b&k9OJ~6
ziP2``wPQDzkFE9I8kIrB-qm~PtVMGMKK$_c>4w}x-*|wql!`z6@ip%DGq#%nfBL7M
zypb#G?M|5e%}$ieoFyaRi<<*p+#Y;VJh>S0vmajJr$4xS&_->b;Kwib`25ulcl+WK
zeaN!$efQZG-+8{pGj;oW2-PY9mCaS<=5BI8&0?EaJe!c$!{Wk}3)^(<G*g&I){K$i
zD!kpix#e494XBoYx4TI;Idw&0q0<)Nnl<2<;R>fEMX-M9H_6^g!1|<*Ph^0g#gF(&
zN(90uMFxEAG|T1PRB+e};Ahr<aS~g6)9|rFFnq(G-UhQt{$Fh5_QjPY(CLpePd@c*
zfk7_No@bz-qJ3X4=*#J9@;Q5Pxxs#SAR)LmE-@VcFiNg4#7``q0#vX~A*sLx#EJjS
zZdL_Q;(QJ%`rj0LbF~kbolIlYT4Fk|h_-W6vUUQgCUL#E2Uv8FgOn0pW44CoQt|S3
z@`Om{o@3_wn<3-*lMz4l{v|$my2VzNOSAI+{MDWU4<|gk9Pz=k4N9r_;$~{C1qTV$
zaLiiJct->Nb)O#+8_isGY`obeXgdyg{zR=P-q0PA0YM9`!1TI+V676H_SMY+FBJ^D
zQ>EKZD5ZQ6PB&v%!(40zw}=^XLds&@BC)q-Rcwm8!}r9lIpa9sYLl_u4y$n#*MQX5
zaicMi-CPevK{oK-EYx+)!2V-JO1>MnXq934&lRf`&>^J&2m6>to?-L>g5g8PwfLdJ
ziT>$+PwBKPp7EmwbS;%x1PRr;x2L2*&`GgM!R1_ess>zC-0mggAgb_?%k8iLUlt%5
z0X=Wqa=%tN!Iv1f>PBATpo=YUY@XQqV}Lb)Sz8kUmKcDXZ4NaSJMavVrqEep6K=mG
zsSxX}i*e`<XQC|zP?`nX&2GYOigj;$3h%wP_cIv4A!xRmE%!pLylp-tEP*5M7uY-r
zXw&X%4<=(j<!NbaHTLqP^$cr%YeQE4W$v1`iftUxygSCNR31Z`*Y{4EP<G9I6V{(P
zj|~vKurLQ2_GW2m(;i?4h!cks_W_)zs1(WedApn4Qk)ZJ*}Av!7B7p8S|y0TThEiF
zYZIgHfhwr2ZsxZJuv;8G22d|F(>4Qe29orA_Y^>AbIm{~i6beof?r(ku`{^?a6QS^
zcS@1LwgCb+>t0sOn^)t|(SgH5`^|s}+b41smvwV<Ev2HMVxH-}bYN}k`au?p{kvJt
zHhzQPSH{<p&S69BYE2;{*Ki3w5QyW4HY+6SC*rmn(3i6umLG~_Bld7nbL>H$aB={E
zylRxfI*zrIEhw9Kk2()*|FZ)K1`MsvahMSx98>JEZP<uaT+M({09|tFSW8*Q2&vgG
z0r;4>k&FRfseQ*`mM|Z?y%-<OU7d4Ejw3w196igh$G0T@g#=7f!QG)?x1VsQo@H&D
zrCf={ZAnox+Ld%avHNoqgEOfWX_YnM-XXPOo=Us#lr~fPQBwJZ_l}To+5^j^@=tgm
zsKsJxb*B5;wB2O<=l_#G^~hf7%KIh*gtb=u(I>Zfb$h@#Wc=x$e)`(UI(CN{AAhmK
z%i9BhP<me89dLa+Ihge9YQ*<He1Z?(ySR75Ev4ect+*(E{%S9l5d;cako@mH-{RTj
z=0QqZsgYs$W+#g8oyHCH1v-a9V%8PRzyy$t4bv1X1_R$lM&W5HxF$;$iw|fqsd&LN
z3g24;+G*m&#;o$BPIHaZ%jR^Wgtb(Zw-QfCT{O0;%zhgafwTgL0)Be|`}P|9XwPQ&
z#_&{GZrpiI;Q@R{dMkjRc5x_(E%4X7d$^#J));GBu4OZ`!fI_@{1zafZr<(OtgTxk
zD>trmO2w_t+wF+!+kKo$%`IR`O$|lLEf5lAA~j_>#RfwP<@Mc!sT3q6JiU}tGaIL(
z8`||wEPgB#skN^ccuFbJ*2c)V2M}YuR-Okn;!d>!cp_j?;7==^PxV;Pk$#E8lP8v`
zlibZLxW0|`m=m5}ZSZ6};Gl6<Ef!Wv5|`{d&&BG{+~9im-^av@>Ro=v!7>(#%k9*G
zUl*GJ&#p#1yV~G#^ZHiT1_;_7a0(E-x)|}~9zf6(pqt%<m$$N~Fc{eP#E`??PF$eH
zTE_MqK-{VB_EQAjFLfa}8f_F%j0|$4hpDiBeN#ScbNrwo4DJqMeQ~SS^<wcH8SL$u
ze$C3vwXolC;K5IjO~|HeHm@yHxmoHomOKf~+VR7UPKi23jj+og!U~ueZoTWEfeHPQ
zsV|h`i^~meZg$ig&4W#U$*KSSu9s`TqR9l*>Fx<3ohhCSR~JL@U;=Bo>;`Otl$BFz
z5(c>COG=I$Nxir}VeKvRsJex7Q31B$Uj)_+rYX|zE|+ED$2;{TG2r7$<2I+%^8CJD
zbJ1*yb7>UjgoHeZtJ*Lo3@OtbGZ`_V)}r7*n~~B%E1F;CUYm#P2f081ggFBjWA=Ue
zY7?L!TbVqT%mSN165lf_xn(NAFzZD0d6ZgNh5J9OFWKsYWyKE2=;n?C0BGkj&)=#C
zMcf9ji;ju)uYpK%Ah=wki?x2jRg;zQhwxB49J5%5Ca?GVq3tnOWIXWDnCQ07?EqqT
zkeGdY<HKyVXkI6?0g5aG-A_pcH5*r!Bl%G4z2_I$?GC7vMc8E%eW!Jw9hzIxpp+7>
zwi!<^H*RFHws&zDiuOQ8WNk})QXjfLQg>LS7M1;+c+BBZPYhI<%l4#oW&;d!)iy%`
z12B8tPRb;Z#B>VYJ509p@9hR`(qp3+3>jmJ*!W5LKq<gM^_i*R7d?LqKt3y<v}?AG
zEY9ONNc{LA>tDUMR(Kc-Hb`-6LjuMh-uGJPCM$f%&mo5=pF6C(6deGQxp_Z)u=3XF
zWA<nz{m}Z$_@jl(c<;%G_nvMPG+*+ES|v%_-67&MPt&qun=#>HJK}OHiB31&x@yCN
zv}>&oyKpa<x84Qv*Y<@>e-k{m?P9%Dpb(JQgaWx|oiB`RcyA|t*Y<JeZ@O<?Y%_lC
zul&N}8rrw}n+g!tTJa~J-{JFDd*qz(^FQ?zSKG(Ojyg;QAHUe)#mylQ_X@GZQ}^No
z;Jv3C{QO5x@&41zNoG5jikCMBeEedE&#(8`AHof0$P!ThyU(`x&a(}kU7aq=%8Lxc
zlHKy|VDSUjT@h@N+D5pg6RVB73U9{P*d-}Pel5$(Qbb8Nw_p(}Cfx2LhF=4=IExEw
zz#+lSpu;R!OuE@xh23{Nh%5qRVJkob7q;rk@@+{3;=)y_m^2&joyG7wgbVp$62R|J
ziky1rW@*f^0e2YWc?*<u|MIS-4W^l!$;K@=49}HeADU30eY|QYp2?93(*&wN+bf(d
z9H12%O*sI+cJT$?NyX+e^<6M);NoH<0;m4SJYaO;4ahprd%>kF>Ko%_Exp?d@RzfI
zUmJDxw?3ZL{iW6j+%M0kW^A}^jjJX7ZoF}Ef~tbP2`{z4v%E1s4JADUA9Jtn$;QQm
zU#_EVzTOu)hwPBUgoP+4TrP4Vum-Jy=!&0jvKnt{%(xf_T#OR>!4eDE`{p7b?W?;9
z*SCj8`AsR|$;E(YR}zQlO_EC4A<NB96se}a94r|f6kM}F7hz2J^6oH;b<o{G%3O(s
zXoEJ6mg!QgGjdAJe6-X3iIfK3llXw<VzgL?QcuaS{bqc)wI*sUKJP5F#uV`$j|zw?
zNDmf6c8JW69uFrk!8*1AT7rJET5Zj)Sq1cM=>>cj^l2f4iU28p1x!2zDsmtASkn7o
zd=agHDwffc^WuK}tP%5eq$4bq6-DI{HYfI)Sjpz+#hCF#-HF$LMX_#+7bO_aknt^`
z<TllMAb5jYJrb=2>krIN<PEbtxzvN!-nEP4Uz%1`O2y~bdwg*%@@GQA^Cu&oD6j6@
zWqos)t5{eZN_#+1;fI_i->}l+uEOkw=t?Aw8G)_rLTL2}ck3AAoGebY9OiC@h#%O7
zqKG-eheqZ)c`yqSb+t8%ZMGiKoyF_PbI97lN?jrzG+28wJbte|!Ipds6u28Y)t&pu
zu6d$>tnU6b`N0$KIRN}X{_0}Dc9cV$Q`xcmp!AQS)dPeq^Va5p$K9@V!8^twdz@O+
z8Q!)f?kQr6aGSq&K)9nr9=BAy4^-@A-jtGq{CxOBf1)mcCV7%If3+EqHIYn8kz~i}
zZSvG(#*Tr^wHSYW(wwgo3CLXBV`fs|vkjpWa$v~1#9OT_wEdrWOmt0Fx{<Bsjw&=H
z+nU92=pYRIuWVK)Xt@{GrCy;-^w=I>Dw;$SF_#_&h_AIZDdRHNYLgedQnuGts8>)N
zq%lAq<JP{y_Q90kd)(qs1H|*uu8$}~3bNSH7H?53yG_@7J9B=`8gxy!DYbUs?Bgk6
z{ZL8zUdF@U1(Pva3-bpbjF7Ii88ZGizxL-|v({SoZz@3e$%`F+{KXwoO8EYVS9o@{
zdDQdMT=1#J05l<UD&nqZF`IHq_|CH}e*UMPoGgDX;^y}8iygkW-eY%|eE}FK_~G*{
zzVmF0ry4WsRJ|<N`}N&~m$wJWhNw!;G^_9o&;}M8hPeu}yYM(HEdw8`tgcxD-e^Gj
zmf^>uw?6DoJ2ykdW|NUkD5TRSTM)*WqMTN^v(KB2D(@Pb<eQiX!~}Ov+HrR%*zd(<
zX*aPzUnmC9(#*USpx+KPik)_+19oV^Xx?ZW0UF7bD&9bRbdug-S_l!h%^0L9D2?*T
z<-ip4aLHx0+LT56Y%NV{iyu~d>oS5VA}|Gvl*$C)VmqRg;+fnoHX}BJ08d%#X@6>0
za45<F1~aIzKS<WwxyYJ$dO6xYAJ5c+n>$&XIVD_f^HD%-&0@*=YfWJfxhZ<al~5i#
z64t6JsQanldUwEKT7rYJ#u3@jsW0qgkbx<y0ndBCo=BKXQI^YXoeQ+ZKXR8PJ&g~m
zW9=Wc_OTd1hgp*q>F?txvCy7hj(DosMjva5%z)sn#u#ebmOReN8X#!yP`ktImS3FN
zon5$_p!BN9i^Y*Bx#HHEn=!W2csmW1u?vOM_`u~xfE=?jv6y3zAqM|?3nGhaYL;$m
z)*0>Est6%9fck6}LVE3#wPhOztlevT-rhs(GIh+|x&QYVP|+<?=pe08#!6lAwaR7j
z1)KMfHM8A}n5LQD-6?a-+mk7}0kpa`76Glj<+qhpOU1PU;t684_TJTq?It__7uO#-
zsI-jGwJw1}?!Lvr1u0_8PrP3ZP^7&pCksK6aiLxar`9-I9oWCANS5_!uE<Hk*8KDb
zm$=+=Y`!S-FcrMKJ$NVvrpv7yL_ED5fU4HjlX#U#f;#zZ>%`h`loG=IagbzmS@*WX
z47DVi8}9;9G^L<Syt0{7mHtvcv&>>+#mY@jwFXa*y`Eo$P{s*d84{F_xBJ^--vcSP
zRyggEnaXB2XPc)L?4^O#WGE6RD`M;MT=H0yIjq7K@p{RPj%9;We52<b2Czkd|E0p2
z0GHFZ8wu~QA(z1WtQPOL7;dd>BJ(JHe#CEUDy#t-rBE0g=DF^^8V3p<>z3zM0-&;o
zGY6A<b*}T<*<w+rq!;63-N_jeHY58%rp0DsH|59DgXRC%Q2+g)VP)?1hl5rb(erp5
z$?^;c;7q0R1UXPKa7<)TlmCdXm$3G<_xhd`C`?nGhz*<@eqhx|dTL=~COA%_P#CF^
zo8s`UHM)2xq}1z4%;!>~gC*#phW3@$jat}xdYO(y^XHx_xx7^(<Vq>+0Tfhb-dJL#
zF^R_HYcs&kLNWastLnZFI(?+k=WM+hzjh2D!fm+aYz9)Y<c#Y)|8<CYJ-4qKk0m*S
z!zaAX`jTcxTO%wDU?6U-HZG|R*FftsrG#Jqum0?7z2EEcO#}$PxZdN3pWXrh{?vD_
z@SSJd2R~a%#b>Yf`1Iw@K`3(xGr?)d2_L?9fuH~A39j@cw<iY$zqrHa*9QsQt-lR9
z;mO5_58u1Mcb{!=b#WXNjQCL#Ufqg|*KR-IZklm8g!PaW?i-CRitR>CZYloL)pmTX
zjKZbJ$?c6L3AsCX;P}0}bS%xr6B2T&Zr(kpqP!VI@G9D0#zYHk6r_iAF2GPrN44P5
zWGLT+L?Gs-!AUy=;1xGEaqF#^W;ykY#2ribly?sJfdp^egyMu!<CPGT?uBqG&q1Y5
z*{iyFrqqI%ypbhD+3?dXeXeP{-mN=xA&}48WyLI7935HpcQXkWkT0GM*Mo?J<$p`%
zD(Kn_iz<6{9x{prnNO)vP@;cx04ix|v0!dmLr%!rw|DyqUtCKVgzZK`6xb55zMbca
zPhahDm<m!#c>l>pfvq0Mm-?6HS_?LK4|W^)+UA>S+<>->-G0K0n@KGcqK^l4fg8u{
zZb~Nf9p>V3>Nrl5jfS;>rv?jF&FK3SP$eL-ARnMnFYY%&A82l*uqeq{PCGXiCvL@B
zW>w+Se-&_-s-0#!j5V270l}Qa@*`p*%}soyi4vl)BIqDUf?IBLY$Q&W;6is59$sWK
zinu5`M^mEk6q~FT>Gy}HFk$pS2Ok`(s(1HhE0WelOWL+PorNj_2^OEW2Ml^jDYc;A
z*Cg&NyJt?iF7^ZhA84$bY>mg(ynzO$5PAFiH9;UrPPn`nu|G@=@B_g4XhQ@D**(Tt
zgHPz#0-it$6}~4LS?o#PTuxbd^n08&&f;IO0uexCK`CN+Ew{Hk#9~0&T4r9^_M*0z
z_ORxCsA?f+2hs5G5NmUb<DUi}wqze70|L+t$>KsE;S-hztwWaQt}X^Vy%_N1a)a$C
zyRa!c`@@V^dO&S+Yp>oak?A<X45Wm{WpYx*QmnYpfH|?hgbc74KiY4^Vi|_j$OK6=
z&Iqd$aU0FfmwX4;&u+_0mK!!l@2eBf1wi>xjkU>j2ZZ;JBZUp=nUhKwq6p?@&hi0j
zfET<@*Q^0s@X5wRl30i(^<gTDaY!lRz1p7D1L`jCG$5}5Hp{gg7Q@SR!7@(B4fhjU
z@D>^`lbeC46SQ|3`0;7uuZxS9>hWP-4R#22I26zNU7?9O65#Is2>#|{mF(Rn`!3zl
zS)R5(5h9^IknF=PnG3VWr0rymH*qWGJ^9caz{U4dAp%N?WFPF_$-FS;3>ulp4rR@?
zo+;+Ld^Y`RKZ&^&gM4DOTyb}(*zG19Y~B>{r13*ut6L}YhP-!*3oO^E)zf7+x!`(K
z_Ulns(|1|kbD0`(ttSo_)`Rw(1fze_c(Jv8e~1I58%qY-hpI@)WBp%j#A4PCjTht3
z<$GLM<+{pOEx!MlfngYsR0pvHYm<))9>k9q<I?dK*QZkS(?~%4Nc(#0g&1q;zSw_j
zw6NUo!1Oga*5>15sMd%lUGy^mY&YpA&&BxqZo&^fzCo=O-+g|8pZ?(TLC@7%@x`@R
z`B`U5mK|{cHdnNte*Y5R|LDnT@cOyPiSNf>h^63uic`WNizSbMf?Hf}mnX`#Muy>=
z-Gnc$_jq+TY38zmL#cim3B+b*2=ZnWFz|vBXK(_M3thnXO=7kNyuLf&_HM?_e!^}l
zm>cDyWs(VD9pc$|h~ZY!7;Iti<l==EaR$ZGWV<nQ;;)B7#^jr(CGD7I-0ddpCJuC4
zahNHUd$B%<I6dzI>;pgmn|>z&jDZ}<TpOE@-5Uap-m7)=ZufbRydfM9$v6K_XlDh@
zvs_yHUAU@^5V>^ki1)H!fmAhKj8s&BJFa6>U6=)&u{(<?m?~QsqIuV2W*t9mg59iE
z1j};L%9E|a%YvlER55oAQ4Zx0!W01$Kmg#?-Gq6r7>A4xpKmdY@msG{SCw#CN$M3I
zJ`^aV5Uc@;jT=~%!2Nd=uSa!hS^MhVvE2-?h;5byaI#Fls>@}420&P^Xj_Jy0^rIq
ze_NqX6jwIaH)T^W-%uWFO&-WTPO8z&@2vl2T01cZv^Cn+W*w5y#(b6mgp}ac8(Tg2
zNhx@0X@m)&R0}LFR&{oI$O329{mnD3D@e8(2aFkhTF)8Y0OA4Gw$#O{rQqL8d`QBe
zU;lmG`lGjkiFwxR*sh?NFo>#xUe-9COU0TqWcEPd*CFhL^&Q6m<d}fgZ#KWfQm{Q}
z0zzr+tt4WNhSGu*u5AHu>)fuYNMCMobF*_dm<AvqLB7)7=T;+th9IaK<20VN6<8~r
zZ%SRms>{npd}$T3;FlHv-+-Asq{w!g5{g^F7N1|dhh^d^;^LHD$!UNkZS1Kz!#v0m
z%Gui8Y66OZHd_YG*}}_u$;QYNn;2g(MHsbHj5uCuyDob0!s0<4)Ya51t^&xZ?vgiT
z<FQh^06wC;igu3H8X#o^U{AQ*47j=+aj87~Fc;kI3vPFl$WzXTr3?$)Zpv^!r>)m~
zPIh2UE8BL;c%?q4=S=CHnl+}Qq7See^Mm+ECtGp9>2BnoP-E}TG*9(O81O%<d#4=&
zsJNv2XlJ=LW|zl%+0fQwA0}x1Z)>Id7&2K$z&bvb<+0G~Ne)YsEqap$YxIHb3tYCZ
z1xmJH`bbW|lcyKBzTRP0K6`tJ#BT|5KzF$vFbt`wcSY<wHV=9ksqkK1s>VmRwF+gz
zJRhiUe7}o1YVVF~?SV(4_2s~#ea>+YTUt9XT8hu*HS+OB$VF2r5@*fU>59~AYu=M=
zDVU#>H}&=8{ijrkyMIG5msut?dC6ix-)THyYsQ$9doc7%vY*FoJUcreW%)RGLX;6R
z)WvHOv-^W428d&CZs((|!^YKL`(knZfn@cZHG!2KD4R@abv6L+$;E*8o^0?`!{Zp}
z8=zK+aA$`IPtent!(hn3Y$n%F7x9s)?tob9seFJ6ms4XOZx2TOK(rgLHL`IDIlcR?
ze+{!3hZdaelSEk?`rmwyIWb0UKevFQj9b-2w6lhqtBZLG0NYK*fB!fBvwP>o$$t4J
z0fcw^8UOLe*O*Jidrvm_-gmF=-GpnE?3f?F*m*|ZS9b?@BQ}NSPkrYS-~Vu#0eLQB
zarp5UcX)9l&oSe1Q1JOy8Bl88Z35x--Gt9y?Qwl~@VGI>%y&BmVvPM_9B{ccAvFR5
zU%JcIaTnU&8u0q=fE&vceCQH{xG<&JQ+=Yh?xQ9I%Du~lXLV;Qz+s3?$QPTi0{kiy
zfrQ(d#Ob@6bfKvmw^?NDCJX*OtEqJho&va+@w_f^7G0BtI7XT<F`28hfB0s@iZlz5
zjqIiE5#TJ!@EZ(-(U!9E=YkDUzY#J(XD_Y*P=KP^7Q6SFpk7s)_1{v=w<rk<LGZQ7
z``LO5jj$Yj-}S$bgMlzHE>EsDxW3uB1%;gqS-|3|3UjG(C=klaQp5^ZA+sLlUqgvE
zB{8L>$s>{n(ai}GsGhABRq^GvSlp<_%5G(iHm-WLy4&ggFyqCIBzKyf$Iv_mTu?|U
z6dO~*jM(+cHop*n#d76p8*Zy6oF{#muK}*J-Dk=s{V*3kDX*j)1~}#XHVN1v%89HM
z1Hnyg^!csInZ2y%nLY<=TjACFfK|RL<J7t(xO@9(ajpXFur|%5y1)%|YdEQ5w23&i
zCS<dPpJz0GWR^u%Ds3NPWs2|Pgh>Otlng9TO5NQJxN`;G4kD<2)nO+d3IKBa83zGP
z!Bm&G-r}C)#U<UlO*pr{u>E%p5M}V$_Q=TIIb(CN!K+tym}UgvUOI~&k}bN1%OCxZ
z*NL5ctJjPih$@&RWD6*%oFauJ4t!qM_b3O}Yq%vkY4I+v<lG4UrYuCvT(Sf)C9TFG
zj_n|8%FWAL@yMuE+IMv^U^5J;sBS$h9tEX2V09TlT1;SUG^9WDYn7Gu_g>z#_+ZTQ
zJdSIk!-XNTX~+H%2UOM<=1w^4A&Udf+FusW&JGxcoJ3aDq!=cfbK8!^SnWZWnbt_N
zW}4qPG1hS&#j#BH)7<hTh{c!1XWecjS%Cpu#Vr(t`3I=7w0x6mqVz_BumCM+dN=dQ
zK~s~(ZL-kZu(@M%@;(K%C)@i?wl}$;k$tkcKkCs~mBcreIH9rpqjhL|;zF*&dL4Of
zrPS&s9Ks+c1wA_@zg^R<H^=+$UE#COZ&f#}3aTf3=h+25djH~ReD+H7tat17?=(N#
z!#$QUmSY)*KCNr60gJ&0;e4V8Xp9f`GI;O`l6mQxtZDech0QJVC|CfNRF3uiW*jt*
zTqf((C7<N=YjH@;bHrt_ZXTFyBUabI{!l&KmEE)5WL#}WNp3l`SzsF==Lne7#t~kQ
zIghm^d6a~AedcKa)8asPd6<45nSSDHn8(T2f${n3hdGkXKKPg=lZm}04%N1U#M!>k
zq@6srcJOYAXe^^N=v`SWXNF1_qvSdO(DYZo4qlgf3rdOeXZswdLJaF;vu-zeRqD|i
z1DJl#`|MgZZ47#S(E79aZhA{f$lYADebYMJ)7z;&W8mvvy$+mrXgzAJZ9n8Jb08=D
z*MH^DymtQr_~rnFhpFHXe|(L@RPf|t#LxZIlY0gI>$?d*{^Cwi)`C~J%KUX9U2X^b
z?02v5r#`rBOlGIK2q^eshZole94J`Um=m5|ZSawTf?KjQ^plRe2`_H;`26~STaD9a
zOu__XQ|gQnZO2f=M$KUN<YL6dcJNGaYwomW4S20C!8c|NNE68>J`jHc2n^xTzvmR-
zi)qG6cFMsfxMq5Mscyhub|MgK<222Za$PezTL5DVR&QAc4>}e-Ljb-iz)$<g7&2Ps
z;y>wsEKt?h{h=t4Z{AJ`zQecfB7mSNBrs&RAM6w^75wbM6pEe;49V&PfLw|L$g^_!
zJN)GBG33ID2`b*dsq5c3jbdx6q#Itg6!H$L=)6|T6F$kbxzEBw^O=D44?lc{k3W93
z$XYd**q~VnpD8AgWyKU=Q4%H{W&v?bIb$J%l`=bUFc;9a$Bam^1kXF#=vI^go`*68
zQgd29P2x^}m@WPWT-hHq+<+Z)Y&ID~(im5hSmiPZw;2Vrw$m}2^X9HK4ry^hXnb|)
z3cYsClo+_Xrn&H0Z<uAG@i7r1LfPT90fd0TzzSRAu`<BIOT&9A9>s$~Sd6(p(EM!x
zN7@G#0!>QFv+abGz!{xu2KHKJ==)AY*@Da3XI4oEO|Zl#rks6V1ojpLG)ti&uf+c&
zFz~AmJMmxu(0KvqbAVVjmJw%X2>{xOHunX8KXm}d?qvIE#%?F^Zg(n-9&|sQ%_1HZ
zn{mK_tTT+5|2Ef|hvbkmfY=kwVh2_3y;RxfnAi~3lK}4|w)adW5_C<IxDGdae6^%5
z0iLPI)7;}iy30-kJR+_+_(sbu>4lWw?nP><?6MPEt2AO3Dc@F()yYUK$71cWWlpo+
zNCxC^0kwoBoGEG2=H$wS?QLdxG!BD<(6+=pTuf~bQG(Y-wp;m^b<E}P{B|YVdrB!1
zVqA>PA<)~T7F-n19`mfZRVz=H5fj4N$&|om|7ny;9WU)~bk{>RQn?H(R;V?AK8wN2
ze6qh+`mU9IxJXlWO%0XDbnMkmp-_EnGm5<~>FkKP@2{?0S^z-3Xy>4Ve~Cmh3^KJ=
zR!i&Wkc;El1h`zshq<8sXx&*Olkw(agO5ME(Y+_(gJ)ZO_xbj<5;s1C)`0CEI9dEw
zTe+f?O5urGt2YCf8HnNoIU5sG0jg(hayE5T4vDcaz_0otKm)Gzdzate${$bw#tx#)
z64Bn3klfPRGS`n;+>EdHGwyaXpzCKdWW4`$gYP`s`eEi*?Ga!k;AeY?(YtV)myqeG
z94_QOV3FsP9V#|p7eZdNJwxK>iiM!bSGG0{2;>Aa{c8nC&mN1=tU{%T^^iKQUm4zj
zcCM9*#_hIW2e0FXYt+}tEsC|xU57fqc5B61GZK^RYWFaJFZ-=x3<eDAeawHOUeOP{
zR@q1<{<JRT=9=H?>yr8Tzxivw@LK)k_4+0NgmbC*!yjE^cbIXp8Stln`sqo5;ch?U
z$6wsx`fkGAVaCgw3G-Yewm}ltyr28<3Lm|H;Z|6dwB+L#JG{K<KtT<TEtY~8p5S9H
zl41Df?tsr<Ny3x6{fymYLE!0B4>~!MSk)PzcA?pXpInZ9qI$U<nvIFA0k8F+TLX6H
z)}>NMR#^c0b_GV&iYUcqn@t+ks`gfZn^9vAY=>|Ie#ePG;#5X6Q66Rh9zo&0+)*6A
z-JX(nl&TB1b8&p@wF(j;1R?-+f=qmFPY;k%;{_WGNXu~nF7^DQ*${YMnd^vFMK=Kh
z^2}MIpcc8AbSnQWu~KpaJOay2h@S<p;HPUs1q+JyjP*}^KMv@`=}drq!w{A+gU-=B
zw3Z*Mz#Wy1BmhxDa;9z@VbLJ}Y`Me0Ug=MCeNzs`zTFI%=h;EWfq<<+W5^iT#n!a4
z?xl>~e#Reta*I1nQt{#Q3tVi%)St8Uz0hz46~NUdOAJI)4vU;(bAVk|Y5?Ie%&S6C
z=CS9|m4U3as>Q?l*bf<M!Ibf2E2qghXUw(Yu-7CXDZr4;IG|PoQDRO=_C&E9@eP^!
z9#|@BtlYV9Rm{aT+zWjkS{)o{VvC`6Ehm2u+*&10jf?lW0Y0{NiURD7rFpZi0$epE
zQWT%KH)0i8KS!T52LLgg@~kaG;~lNk(SRFlJ<Ds94>bmg8Dy~+?S6AZF;_`zR}(@b
zrBEyk;K+%r1KPdDTt2_*uoDgd_TXO^12Dk8P~K+Z89A*0fGJTwQoN}S_`5F#F9Wgr
zsrn)5&O>5oJTj_}?<)u}p?33VGY**N;&X4oXS0AwSzXvOk^_Q09p)ld#=3sDW5)9*
z8*GM*UKL?L#n!Wc{GnX3^(v1QV4%6iJ<74y1z#}BIaLUt{IXOR>;te#vBsJ`6V0C9
zxH;+1&3f#<O9YUR(`<#hBCY$O#oOEH{+Duw9d=mT!)-do5{M8Eq2L54XqkOY;p6#b
zeKggAc@9@Z=TF)Y1JJgXh(q0wEgLZ_|IoJOB-ZW*B%1uY=EB8RV2`0S<yqVoHQC;7
zc1sc)yOdh%TLT1JPm<~fA8Y##?>(VVl59mvop)vpWpXVMN7c#a!TJXRU(oH<)=#xx
zQL%sVI>#C>u!?m8U_}c+TA?l%>)LN*V#HiFnN=%_ic0)sx!?G{l$Ps=``z}L(vQcH
zxsd>DHUp-q;K{|{JSZQTf5x}@`rFu#n3u8joPXEDnhJPwgf(zccv;NLa9@zW7Un_L
zL&y!*mq1u)$6hVhV=RyNCF_z%@T7c=j1R<G(-%iPZcX-fG2rQ?Bwo7Qjy{)ecjBS4
zr{rx{7b8A+y20}&n|Gp*epPe~NS<fWi?8n{H$t-bffIp{ptT3U@dum7%pXiQFmIlt
z^87HU3_>0mz9u7BPv~urYxA*K-D|G8Aro{5%}3V9L;Ku$x2_kKx2>g(mj{5VAQrLq
z#lB<L?Js*Z)GD%uU<6{26LJ<Awxn2@q9cWT4)9)_@VEY#-*Ok@S}T6=@eQu;CX7SI
zpZV#hM>Fv553^YP-5hYcoABaxLMc_Of>Ofss|~*Y(Gz_4`4%Z99HtqczTD%J7dyPT
zotl%(&5-fllMx@jcj+fd(=4ZqFK_qw^wl0OZYK4=pGgQH#Vv`_Be4QAE;l1Cx02=Z
z>cRlQ!L97f8t~QKgzMXboMfscoC{<%KtSHFZIU3F<xhLcYzqolS^<t@#>E%{n#ZYn
zixwHBN_;G_<}0{6Od6l8V5b(3`-3DyG3Bz2h4^mC1aTHz4Ag5+zUT=<3A}_(F-a+u
zaP&-<)Pq_<w`p;$rC<Z<QF->bJ`x}gbr|<uGm@R4)sq30iSA_~j|H{>@)+PV#W7<X
zH16CWt~gl%vSA=s*F<17wcQ1A`YYf|abS;6Z_I_4EuPu{*F3LUrrq{;E4*_*)_Z;*
zvcyA)J-D^N<Gy8O+syd^0SJ*QhMe_8G~5CiEV#a#@#)JQQUZSFJCf0zPo0;pf(3^|
ze4gg^r1GRi1O!+G%z9*9kg$1RCw4NVvgx@+pv|Ssz?IG?hyb$P1bAwKIG1bg&|Ve^
zpZ2$uirs$3-6Xu!T)2wzY6oC+4z4P7^x0gIE#99ARt6x%rcGd53Qo`n%2sa`tIW!Z
zl^{QjH=do~mR}xBeVSqM$9!&gb2@Ry_{X#moS4sr@WHktG2hqLN}_@imFI3fX$1rv
zEF-;+_pl-)4guD_OF9YwQX-WW_=~k>AYiSvb5~jdfY}ZRR$PBKC)}ZVJxc-tOHxyP
z50$wY@%7e#0N#&`r%PX(0vs`;vi^Pg^a8iHd)j+yw_ajxG04Cqo)*%d2{OO0C}c_x
z0@Ut3bBQnj6AAv#pB!kAxodm3w;QiFhj={-A5W+XDoH;VKZx-|OH@A;^yNqI4#A#z
zZnT@_yVW|;bsIywE^96$CF8phUrcpJ0_Qap%!SOoxh5Rc>tZSq*R+54=)kM)TU8Sr
zSl9sqDx>`-3nbsq`hyq&no={T_;Y)J5f+@*r#;!e&wxv>FXq(7Y8;2um9g9#Z7+9z
z3HY@bMUPMigI#=msMY_W#DNvZ7-cz+JxUtuZLX8H75v%W$qnvg5Gy}+g+>$&-Zg~Y
zz+M#WiqHMz_4ap0uP_g?IbwTx!(a3PUcW5+Cb9zRJx2O@!B$xAf?g}GF1J9LUwdz9
z0F2yvpM>lZb#^Zj<zbuvq|ZX{htn*hf#eG$7?a^~1K?l}&>jpk2LfutH+s(|*B^Zh
zO%l*g)xsXg{I<`fllQFOO`hVK`r$wAmv)eEZL+v`_U4?#jrhsMh|A5O2bCcko1DA`
z@_t>c3Li>U`ReUX071?w&xex<NiF$gtzK>@S?M@PIqD^Fx1TkZU1zyTYp$6O_w<{s
zzm&qr#r8?rYbX?f$-vNAkm7xO82?b>`NIHc_KB-|z>49Ag+}58DP~;3GSWjSbm2Jo
zmN??^{z(m+q|LD}RD^ZDygRZK^SGGo?d#dEh2Am_8NdEt{kcchzU$YoGeB5t#UFom
zhcB-8$T{Ip|I|}lZkNeJrn%tb7dwsdCz*gtsTfCL)E_+C;^#hkg7=?pahPU&@<J>H
zU)>&Lkd(|k`J?wP@cz>cfQ0M2318go@#%{lUfxb|^4<x*A@pRA+jMy`;@Rbhr<bE!
z;0+nrO%*qH1O)CS2Hs%`%Yz2EU_qWXzHkwiQ}Iwr;}p&Wv5U>%r?eNFjO`fl0AKe+
zcACR4KCJx2y6=|a=}eO@I)t^+yC&N_fmT`1+)qe)xMr?}$)B}YX3QunBB6yo=8Ua5
zpR6%<DP>Zst7p*d7rWFmEy`H5iUm=BZrOHL&Vl7AtP4>Hi-n_Z7~_D9+Qc`2-dk&=
zS`TKr1XuW^WZn9XER0AY&@S>1+|PB{<?uVYXIUWe{-(}kVXGI0Qf3!%RX8)PHR?+_
z)dw!Gwz#?3yRcVO88COZI5jet5cp)PH7r3=f?Me}b<(PvfPiF)Ei!U9PprND!GOe=
z32R~?1T*6a7QYYx_6I${(8CL{UWTt9v6cjoGAy1~vO3NYgQar4dVw{CHPVtJh0tNY
z#i<&6TqNUjZsHyBddNB9Y9sMoEx|?tP)*sYa0Oq20?!`1)!R|px!5XORTW-qON>NS
zX~<3!`!#BN$mpP@DDxKEanimtLva@pSeSE#NrbiH!Jd}$hYumdx{qT*+UaO_P}8r=
z<tTaitgJ;(RTnlr{!a>PlRkt62YogmVdw<^F}Di9^3*x%a4!Hjm7}h|9>1rymiCPs
zm9=RIpn*Y$WAXpkm1VEMpJgd#i+QOZJcjI=vK<O!$O_RPa8QT)$=u9){%?If4hbKA
z_ZdF<<dp++bJs6s-5{<>VVP_^{Z3^ab60X8#`XmutbeFotXMkWL_E%|sYn@5u^?lw
z)5#gYM!#lSC8g5XPqXb`@DL?El~OgnbkQ{(ecVY2zJS<87ZrfTJk+noA8c$<#bV*K
z#HPwQ&5;G4pm`zkP3%X`&+Gv}U5x|O9@N#=y*(&V0ijx|xKRe^lxR$e&(K)kr<KGW
zof>}Aj|Innv&P##%JOlvC;G+rnH1}Y=Z3AX#}Kb^>$A0kMDsk@j2WApkjLyECgQ4S
zE{nnov~a)x8vS1ACw4JqB{u6G->(T#u1$3fYhB)}yT%cC*CwrLz~3X(fM49d-CSUh
zR@VOG$AZ^oN)_+F_XMwA-6EyzvI)yhpfyx#3*K?PN`;Pzxn%+te{RiMn`K<%kqIQL
zxXixfQ%JG*P&FI5TgDV_d1U>x87VZ>CSuxKSPu?A<%jad-+SPauDk2=Tr`ZpjQte4
zt+%&E7=uCOql(sot&b%dV`o;>`6wTV{)u^)X+Fl@mYPF%-k)1fy4WYb45~FkFx;w@
zvv?&&R{Q-V2W)oOYGJ*eUXFNjIpXQX*m^r^jMv+p?7@A!%A6A})RlX?8L-s@5<iff
z1ITuFTTj|l7yO&~%_(v@#bm__NvLGHn7XiAM10obnhfUppRc7_d)9IE-N6r|E+Pws
zJUV1re<n);K&j2%Y3rNgP@3LgV=MBul#sl<+SMiY8Rm(sOU$)6rozTD0uT=PJOAak
z*n;rmFYfU1iycx*`2L4t8N)P}iceqe@X5;^US1#Y^7cSNXU2D*3ov-G$@usSy^ma4
z0C8)1|H%d)zJGxy7b9-(CVcj4k56CjalM<cpXTNi-pCbzF?(Eu=T{rI4%}qP#CE-#
z@#<!en_a=JW(tnDGdh9UMbDMEn6M_)`zb3_AhwCCv7;{3BGIe>ACm~g1ed+K@|wx=
z-R^)}%~W)-q#YD+)s@C~OpUMx-3StImS_N<P+}{6CYgroUEzr_xHZ+J1gMararOMJ
zuI=~9C%loZJ>#c%Xc^|x&4MlT3|P>OQ?r-l6hMFrPg?N;I`!*5TR?4&h2?^LF&9Y&
z3YJzy^wZJby?;B<F8V6Q(gkzSCernh3j|<5k1ZOr&X?#v1DA#r0%I>sthu<XZ6>Br
z7(npd?>@!HpF|A8wIJ1O-DlVD_Tn~Bs%GciWY6BkAVmmbow7`Gi2D!RUuaJSSy5u(
zz``6H<~U)z+s)Wbvnvy3{qy8v#4t$av*%YE3`4^0e#VRIgSN*GK7^);GcDE-Oq0Yl
zWNS~`aGTA)0lZqJfk6bHO(_6U?+fcFD_1q|QU%C&z>MapuTSN@#%C`)<EdES)LL;U
za6rd|yU^uoD59h|nOiO^8EgF2_XkQO#c@?E%cxo12|y9TxYfa|77i-VTO7;)bKAEY
zUcky3&$n><(EIhF$Ple#L-TSuZ&QqG*KQV`JTV9DlYL<EWQwg;rm?1@da@g-37i2m
z=2ZZ&w>I+6EAjsvlvJ=;4$<ULZMP4X->^hvzz^t0BIJVrC;NYvA$&v14_jk8KuFiQ
zzNYLNSU#7EXU{M3>1Q`hJ#C-hYdl}X`a#@@59%T}WU+2=w@p$mJT5EA7{TA9FNTyc
zj0vM2M${z0Gb~Q75A6~_>iM{D@ut*J2#K}0OFY-Jy5#007T-6!*?IJkrBK^L-4%-}
zlW7cl%N<WHlE|Vn!{=l0_~fqp^Hgx7GMoVuZqaIdriS8gbqn5Fn}%jziv}Xn!DfXk
zfQe=(@6EP0L3@w=w-A?H4vYPq{>WOkv2__F>azqGtu0}@Cx;24{P+9gF<SB+1Jc{<
ztaey2YD}*R-9POReZOMqjT+$mU~<Ii`t%eQ^|AKDI+UzDl~0!1x-B+IB6>N+f9v<v
z<FvFa4$$A`hmD_6sV1Any6okw<$L0QHG$`s&9GR%bCC?7X8G@jw?&d2l~Q1q@-b&s
zrqp>^lYX|+xgV*`{dzjqZL4yduD3QxWbg+mu$8st&@H=6XEN<(kVDYRZN}wx#ML(A
z@?ym19mH0gix|FK?<U;bi7^cjb08()QVmtMdg#3dI!;;+$0w~7jXo=Ut2DgY=JabF
zFaW^|j?6tf=<v9#YUytwgG>(K!^<9QJw{?xKf86H#Xtoj<M2Uc{V})iy4ns73SMq9
zQc4onm%v3%L}xS%8BZ+Mt6CYpu4Uy~e8pMg^|`D3T*%syJ#hN5qr*Tz=lXI$ZH)SB
z_JPOH51*09OQ)3~-Lr#qy<@Z%@<L+Chb%XhD&7QD4oc-9DE2gy2aJcXeqcKt&ui=F
z&~r#9>E>#JgoF9p|HZcyApHD#k3atO7J#_Teei7Szm;0?`KvvC^u?W94WdFbie-HC
z{w03qgA2U8o$$%a9bO#)1>bwRK}x_UFZTH2daua<))`FBV!nK#r!DVYZSeGJz?d`U
zQZ!rfjNAPbY1S*64a1cXpT;4y^^<Ki4j{!Syxd4;<70_HY?1A>K6eKRLVmLs6Xo4u
z#_kY;`0Nw#ZH(x{C<L=mx=olj#*ly}fUb34t-`QvoLnB%XXz1tnQiDy{dcR2kCF=;
z@QuUni)T`^!8lXW!X#c{MO9$~SX%AnT#*o&0NLF`gh{moBEV#EVxtZ6CUt$V0Oaob
z{RlCWW97ldt^xAsd-R9?u1XGP(v3J)l5ICEi;e(uNB%za{&(SOkP`6GN6+!`$1m>{
zQ~(*v{b9x*e|CpYUhXiLitQ*HzXvZa?O0E9(TtcC9``FHRg`UvB$FT#yMUmbGqiAA
zXhM4uRxAAdtWYt}+KgGVa%OjbEv5QAA622MwR#Lmi#hiE$reL`D<KPkQF+ufnJZSs
zJc||5ehL?hWk`Y=%mBTWE9{QNI#`S+NO8#tV>0(owUW#gFl!w^+zu-|*%MSf&8aGw
zAY<a-3iy<q0k*31$*jA=`paX;z?25z7yXz;KXz{6G#8-Cvn%A<ZWo+1-pp2&-tA^k
zmkH`eS1zUOxl@wtowHgPSqO<)E5UVI11nr0a{d^5K@21*O(zDFl`<RGHY7q=J+Z6O
zRsq26Ccxl9_pDkZDaLL;V}GcU>_e^pJT@K$wq6%`tvSJ?WUavCm~O_b83HBI&(_?i
z%*yWw;AiB4?G^ZITx;g`w>8)ECr>VLbF+I8Uo$ZNb~oW}UtG?4|B1wkGJ*UsR~!xn
zI|~6oV3q)D(&p_(GjVHzA_gRzx$XjYTS>D9G}mO7eb~C$6p{v*M8B`dSd|KQ+3Kxa
zGR-exoU(q$MxhkYFXhN=Xj^}US@XdGJys6<a|ySxuzr=bD6h7*FpoF+BG!T&auJZI
z?c>as25tfE8slXcvP(-m6H|2TLaF0N;}Ecyy;v?%{zCxe(i<W>An3wf$M<^~&PaHI
zjuYB3HNdo11JmJgXe~=-^h?OOqslnr81Y*h1<&f<0r?E}4Fm>07EpX0azJ^p-pE~d
zWi7JH-hJis{4U+!YMofy_;?jI9y$&VjCXY<u#PR~P2MgXL(KLd#ETxl@>-q7_Gg&v
zfC#U#QMpOSelrg0iWru0c39ZQw_UT0N`Qw7;N%6z+%y>!>D_N18gH>yi@`5RGVfF#
z^*W{G;FWpNotmS&!;H^f?eXH~;IS5SN_cuX;@Q=RA?KsuHGgN9=33Dt(knVYJl3pR
zE(geX@A!5+g5_pjzrEhUhjbQ>VXp85rhW)Ra~O!Y*rw-iH-pA!6l0{E&{!L;Wr7DJ
zF1j4%hY`{1@(eR5IyMe&z_2o2Z8_^}J@)lwT*Sq`ZsUTg`cBB~HYQAYW&Es+KAe~z
zOepUO>%T}4G)=RI((q7LT2CK;k{{%yAUq;;`C8OC!DK{hYDzjkq^A9zxn|+M88iO-
zzws>u2w&Yz_@j?+P;149?_J=h-oFGO9sc6xfIt51RxJGPCII1D_tAS>Y{vm#+#K-g
z_RuW$tp+{KIeC!Non{RxG!WLwLk_FFrx#+GS0I)z670Kp3;+{QOrVpxYI!=6Yo^NV
z8fAjNWis}JAZnRl!l<|&&6+LwfZMx*n|&lKnM-l^gI*ba*Oa=?DYX|#ztamV57NDM
z3(Iu()*-cjz4#RYQ=|Y|#0j(z?G{n&lU@f2hjCBaoK}DjMS0Oi`tO(^(g-pSX+ME?
ziRx)Wihpm~+X7|@@c2z;DJ8&!&Ef3U4a1OK=rzX6R#C@*yJJ9})cxHGy6>7&Y5_uX
z!Rk-a`18x#19k^tf=@0+Jh>RUG6RT1t@!NK9suy{YQ)cec!eQ{E5W+8;yUo=?sK(7
z46{RZ_ob=UaA&O~4AGbkIr;B=THM!P9~0qK75%Wp2%*-LpFZB=m=mT_aea5dt6Mu^
zHn&Dm)dWzMxmyrmfW_|-1*hn;H6=3za{_I+BxtZ@99w^^9VRur%F3{bQA5EFVUyP+
z#i1KzU%MC*#?1h>mNuR;m4c#40~(hGc9T`XWyyykgQQu;`Kc-rkSY?npq~Qa``_Ko
z)dUxw11b6mXf3wFT@{PDx>N#85R3V_Mhg%?DJL4AM%b5&BH+b<I;*GmR(<hOVN2lo
z<YlMStebHVx1Q}r4*kpvz><MAuD&aP9}uVa4x}^CH%I@ifqoAmcehLl?>)c7-Q5mD
z&K_GwtSHRV()c^@@^-?Hzu37I$a_z>_~`i-hq>ZLV=1k<It^J8$z5HDW%7NBWlyz=
zo9~^*Z<fSy8p~M$YPN7%SPIgIDifgrBZ~Izp;XLMYZ+zWp@E}ev8nrJf**tiqv$0Z
z`P^HX^+Hgs&{#%cNn=2#mq=^38PjgR=lLDh+f6UPYRZ;$EIT#gobdox(zUEYauM3~
zyGG7`^;`6bS&b#oQfm%129j@*{%0~qriCr?3-uAT+v;vfA^JJf&ZT&mhbpX&b#EJ?
zR*czYp`4>%<v?IP4(q8f3J>uVde_7jb3D!t+!G(_!GoE={a%hKCDyIo8+(83b*5A^
zpKkU&mR~^gIj2Yfva+AIAA*{d+sF&8%oBTo%~$=a`bQLP@`U`JsXUuUn?XDl#!dFP
z)b6_9j75yW>sW#I6jtS888)eR180rC*a!f{F0N}~KDf+Rx8k*Tvzz?-#b&^Fo^A2o
zlg*>ude;E#H6U^A`!SH(<aj#-ZNemxo9n5*^RcK{%%$o=v&<$=@D;AV*)1>uiF<2%
zyzzQBI7*s5UiZ<fF7fGNOl=)K0Q6&nqSqldfLi-^jK|shIaX&*%GT>x?2*vOk37b}
zLPm~z<cHGn7yHx7c)U#q=*zO=nvMi3hxRN#pw9*{_XpO=^>ULt{MjMnfA;5o`nAUi
zz}F8TyxY(C!yjLxl#2JCZt*kU5peL;-Gm>0a)Td#vBT|d1`<@bPIz*;L9M{`ZVKjJ
zp=Q});=j|3nPvuV_t=1rIb*v?*bIXPCyp2)W)0H<KVC#Lm?k*6KuF52DFGHV)O`G>
zBC#57ZYR9jO)l6vfLYWs<trSiH5R>8iq@|`rd%73%1o3tUc1K?>k8ByN~o6sh&2^0
zMDrkCt7j{kw||)`afZhZM-SdLsJ{V@Xc;|Vi#|2Vhb8t1keTBAkh0I<+kK$jvHQMi
zq4P0xOh7&M9SzWM|Fgb{^n9SQbrA6M*(E;v{Kl>Sj!~%<FK;A4(vTCr^L&f<o@^JH
zOYJoHFctjakFRl<3a+*Te*UMPzII#`v0N<p?0SzE*9Yt-agV!GSGl<aKqBrc(9`X(
zrk>^*x9TFvS(1?u@kVtq89?12Ed*fq3)B0Yl(N{2lb6YgmHqBQ#t`l{uySgE-8RSN
zfJP2va)MeX7LNmGNtDbIqI&(>`q+f2@o_<|GLhQ#Z^}c*T^Miz#Jz^j5m$v9=NBov
zi&A6+9y|-3S;3hbt_e^!N35NzLe-J$KCUbLrI~}p-WzjA+_7V=Ntsp`I?U?;N9No1
z-Uf&$wwB5Iy72m^zI;te^ud*X<=O1QZ-Sm38d`iQcVnhTg<CWfU{R$68so3D(&nNa
zEA!FU8%ekJn*&3{|Ky>H?RJC1erm^66&V9Efr^{E8IuZiLzY1D06Z}X?=hRv06{qz
z**?&+!Q%bxCri>&Jm9*`pKyT=MXt4^1A!~i4}Hws!&I@GCJC`ZNoqi4i2GY^=DqiS
zw}-GS37wPG<~j8}Q$i#MkdPl#mJXxy7TdoOR{0iwfMpAtTT=<EOOKDLH}S!Cl)*8t
z;Yy7WgI){k256(TRbeH`3ZV3}W!?5r9lmeNe=(O59x!FR&GEV2XQ;FNkI4x@YVK`#
z4MJ8L2lyHvhIB+RU)BYXwU?XnY#gfdga%Newe9_$5HaT#^4`*IGAzPCe1a9>cAlY|
z!+k%#E;Uv|B@Q__?8Qm18LEHC6g>BM{>2&rfN>OA#^r24lPR#}oPc4*&sjsTBtVfQ
zFAnAy*tEE|9;&AsKc?0CLqTAxBS7&Z;q~QxM-Fq~a-@YQFwY&PSX)xJX|C8!v+Jb2
zESpt!>a(7&wkNd*%4YReO7*%vy&Unu(=DD{4xvBiFGmlFF**Sz)+K=Lz@o`8>bkzj
zK22++J>aAR7+T}jS2oL7=88@Yc~O!*g#ia2K!jx@$>CANf-gLj9&~u27S0^km1Rng
zIZ11!RNjx)uQ4xp$ie4QUga`m?N0NI!yHzfc8Jle3;T~n^3<s{&3MM4om`V!7%#GQ
zIcnT-@l2xqyW!an8=%dY@mK%S&pznhWAwEG2oF=iAN=SV(_HZMa>UPl^aQuN8UOL)
zYy9~09d7rM)_llS&GU1!$PRNs(Gy}jv5HMZ-en8KPxZ1ST5uN=D^H){$zZ2B5zyP>
zjfi5o-NeEyWyUlC`&ojE@Aqw79T#-Ig~Wm?=r4b*Fr6kfzcn}bJ?&=spb9*yzQ&a4
zJtX|Pux8&=Y*_uK>_JV5QI8#?G$rD7++o*F;ogKE1fccbkKB6<P-8`=H~)7<u6FB>
z6re)yW#zS0u3!6n2yWEYxQrSfnspfWpR(#aeNO_g*$g;LA#i2|1~y~DR)wjQfEPCh
z)G8aq&wls>&#yK|W0uUN;tzjxjoo3!#b&_I|J0LJ<>NjorQ+4yBw-bHvyXvgHJj$@
zo7k8ouHeN+EFM01y1{pzZE?Gw@#(8QZZ%$_o#NLTYqnOg+`iljf1C=ipXMeJ#9<ce
zzNr%wDhJ%{JC{BNe+U7H@8!o#5Q45LcGHs6cXN>istOEM`F<q@EvM{<K4z_0tu0lo
z9gq@Pl}l%s`=Hg;K#Q=7Tdt4(WV%up)LuxzQdzZ=`>a5zD+jdy*<phyK*r0e^C{-L
zHZOS2SG{2CQ?iT8n3`f|R-UH#b8>=a{c54Xi(}kk@7A^rEC5^I$OI^w5NIY~fdy=S
zr}t$?{iXZ3ZUPp`BOVS~Ebm|4`%=v1{+e9s0O!6O#2#k%-$&lZIpJbEVz-+bP&n9O
z)%ZK1054)frcf$2&51a<f({9roL%8biDFe*%*?4^Zx+zCiWO~b6*i!KzX316a?bI-
zYb?ZLKTTmV!3vAXfLGfQn@y&5*}F{H8{zLpZNwbehZ1~0^Rdx(SmyM3<}zD;5V8m>
zhhfogx_hl{9a|70xvS$=-PlLvkLzfHmW61i^VvsGt%!K21_;)0CFM4nD`iU66LeGq
zUut!L#xlP;_zIF!x<0Iky~BA){|vfyXMF~nJ13NDUMD1PMj45eOiO~N*P3T-zP2y2
zeYfYCT*p()=%I4w>nN(MB=_;+!s0osU?t`<@fYIJ)(-)GwVnrg$l}I3Di1MG%=bPy
zh_U#>vaTzhKfl7^ZtsV(W~I~1VQj&;=AmKUB6~|PrHRe<9wsKFQ<D#PjM&1^4uV83
ziT<$Xn}xxX<LE%N^DF_2<TN%H-O5U95>{MELR_e)o4LJmNT=YfZNC5(8b?EL`B)~2
zk*G0gkIkVTh%(vbq>Hriu6IbKNSm(jCS2c5xZO#pvi@+Jfnpms8&eA>u*ov+<^{5!
zM4p^oHmWV}@AmdJ;<dk&O+u~$0^6`Y<hZJK*s&pyxsfAiA6NtOzAUJT_dDig9*0ot
zYMvE$Q^DQ7V7H$d5M20;t=TBkKwBi)XUxm0=>5G;>F;0Rp~v<~=f8d-<b{N8z4~EY
zY+fmeXYJqk<)43}zI-%5xZCaUkN(j=!tek7@8b{t;1BS{7hmAL_uj+L|NPJ6*MI%j
z@wfig-@<0IxxXNyPd<5x!_+FjKmEZae(>=%{^YYe><;0E5~m7~_&%1=kCY4g(`@Aa
zLq^Ncs0XameL|tSP;2i9Hx-0}^Qaboy{Q+<dVsILckw$5Q2aYBhNi3&+^q-in$t5|
zX!O|_ow-{KDIpK$-T_bUG8%X{v{^AzP67lIdY=+stNu=DXUsHb;Nbaq8c=iL+A|SF
ztgs4-U%3W^*#-o=C*I+oD;gL29!Tr0L|pvnm|VNI;^yX_8h5X)#jlcBaJDOrGT!{&
z3h?~9KDqq8`+Rk^#bGCwHfuu4VJ>)iBZ~Hr6P{m<4cNz<ktw;Ky*l797i@-%pZU(E
zXW(^#h=k@fSB|^=j4y5uczJVZHo<9@?8MWgz*d!5d1lQsWXbOS-jfY(b`mGX+y*U^
znzd80F<fa@yo#h5?N+jQ)lgI?bphN@a&i|yFaQ=%b86O9w9gKO$l4n*-)&qPMatDN
ze%DgTGXBr5Vm#JO5b+Fb$3Zg#CR}buY=n7WKNlR-!pVY8Tb9>Sid(8rWGzv&{r%BM
zMLQ??6uR1vjg-<n?mq|jN-*W#ZuYjOh)ZUGH`l|*)b>PGEW$!61m#8j5yE9t=@jeC
zMyRovBHqHhrthP^&HRPmFT6g+vr$A;!4>PK5FATI6Iw*#pdqsGx`0Xbc>|t!Qq4&*
zub2B|XTg;~7U*i-m?#m89c~Tcs>Fc6^XHeizP|I?Od9*{)!hNtx0Aa&nSutGG9QUG
z63qIswE{BGAi%YDorkEJz+!6)(vY&#B&J%oo-(p*qZX5~Kfv|=gRJ#2tIOARXx0WR
z+4dPW9!hNC6Nifd!lDW&d3Tsq>6A>MmaM8)1<Eoo4#H=zGz^aMZ(DoQTyaqA%EMe8
z5DEUsR@hX}BXg(e3syRbr?zXm=hM-#bLC8r8pAOqUoWQUup+x^adi)$<Nmk0+cldz
z0>+5303Rk;oo(M(mbHAL<-1E>GSxHD=e3G1o3MCjso2|oAA3M-cF=xIruz7ru(Dkl
z?dE~aN!Xg<HtI*V7OFPbH9%Qg&y(+G0@`vYgeGgbwGpxJ#$keG7EKy{Lt~PX1)EvO
zKL(&q>2WcmjcQd3X7V!F9cBlI*2pqui}k+59kik9fyX{!Ok>So%n&B5pB9#jnpBXz
z-@J!ASw3`%X2!-?^huO}W#;RgbiW|WMLqnPXYt0E_3#-0wwsJ67aLq`Gcw5w6|sjh
zsQS9}HsUQZl~S8{e`W>QlZ~tMHUwWuDY->wsb~P@NtM5lZQAU%Rwb4%SSA9GDTrtG
z<4bGKWSdq;YWdrOmpVV>{VwK2dk`J*<XcO_)=IPo@)}-5z~9=n-s8={*u91sx!Ftd
zoL6@e6WJ`2{ZQW9DOTW-(Ob&)7?p|ILhT#}kq4e!3?4RSR4-AR%O0C?4(rlM55%Uz
z^}*sVd#D|q>o$HVVLK-Lw}1UVIsL#r^k{(a(@#Ieum0+<;xGNBzl2}-g<rsTzx!Q$
z@x>ST?ce@w{Lvr%5q{-Yeg(hvTfc>zA8y(5<Bwn95C7x_H@gW5vYCAR#SVA-sX2iS
zMk>!ewBou)E_9}!BwE|t8^O*68d~`DrD2o)duP>P%*zDn1eHL;oYu^Y2Ni}rW?0gg
zHWsWqkyVRIbr##I(e$ecm8wM3LO15Pv>f5@ttCXGd^XR-{S1upX6vlCQvw%^TmSny
z&&5{gmoL0mCjW0aZ|?hDHpmb>bjqkwD=*EpRaR^cB$aX#=!7M;&kN_N&1s}5h*|@$
zV?t74K6pfPTT1j>Z5r8bq&m*}{`cO$!iyKTA)_Z%93b(xK6$Z2sUkeR|8$E4wj^t3
zMy(YuZzU^SPQZIlHuqW%+9q79fOxxoxD1PxhzOLoyV)}#0~)LKa=>O3@bQDETRgoS
z@Wu53UtAx2W7|*F$I;fzI3!J;blgSI1WVKitiL-HtwZ(a%w^9KLkvSG(zS}UIlKSP
z3baXoVFBD(7BK@K{q){7*pQCw^xn#2WpU9SQlNQG7%u_;rky3PZ0Av9A!mZN3+1gF
zY9`gQ0&0a=2w(}zOXhWLkajd}3>H<vP3>EK>bIs}=tDmfOes&aejVVX4%8VDJe~P&
zNOLO+b=&7QKJi%(c2Zcuc-++HS&|u)NtnQHf2uBU+a-Gt0gy34B`Yi6Yh=!qQbH-R
zXV&_;A1k!u;ce%?E1kpJC(pgL!!`#V^tWLga8Or!vkoW(=%<u4Ji_4C^p;V+>b&F_
zlkPTHNRc_xu2rJ(k2RS5dT&K#?Xh>rnpi4XIZ4tx109kA!U+;2{(~nQTx<siu$sN7
znMY~m-R!DruCzttCPt8XJ20@m&MDjkFE<kB>vB8z9IaIjuXpZpElNi_=Yqc&KSheU
z+yG<xU(D4|I$^TVk!x#f(%v7uX*tLX3k&ZtXumNC*2)gc!(5UZxKfo9VwI-NzK%f_
zYC`}BHpyHOvm$G>52#Jp1nWafMBweFJ)=>?*A}k!EhmX_$?8~VgYTtRl1!htGaD@_
z)``8RvBdOsleGOhueEKw2XWTsXk%*Dj`Xtt?`FMssR<#sqr_&t*krM4y~maHv6Rwj
zfY5-3T?Yj24`m^%8I3~@OFR9$)p&fbLyh}uC0Vg_7LBz78CSr?X`XSIEWumE(QntU
zP4ISHT~zYU>%KQ%!?KF!x>;WLvD12R(c-IZG~=-yfG_w#r5L9*=H4l}?V%(xv;s|Y
z!E~rN1SsL{HJ&B+qLD|rtU(!vkK0^5v<t6Rj$J#Z+#08Jdz;yL+NU_IrGrZ1?WG$_
z=G_bZ7wu=$XO?moACAF!uJdwzh5<ms2vQ0U0**aya=*nNABT({+|5bA=Ud7EZQ0^&
zotkC3$tzxCucL;A%SjD|q;77FpW<Ei?hE5fnmp~|NV3?+5?kG_#e|%SS=d|5@rW<Y
za(=CHfcT{YgryWr(}eAI+gzWf3BU0hzk%QRo!`N4{^oDuSAX?aA6(|||9^gjk3YY|
z=Qk5>?=*SHG6~O5EG-4#_`w%zr5iwkad%(*2}_W~<uC(+o@gW7tC13tnqRJgz>Nac
z?;a-=oY%8Ddz}qn@x(nvJmd{=YHUxmfLe1e`ho12Eh{~y>==_(kg6B%GUELU*AlzS
z88xR{moZ|c${vnq>q2w{B<2d}d)%qtbvLP<yxGaeu?ekp7SL|Aw7D5r8@0shm*(+q
zg4KKOXQ64e__|haiPcr6*)!LfJLLW#G5Y}EVmshFPq$4l^4L71{7+x)aD6u+rHqf>
zzre+q8y6k7HX~us;&C0O5+jnt-F=!X?)DP`7qk<;m^<51HpKlDG2sf0n*mir)~v1@
zb<NTE899N36;W&sMUtS1MPYU8SQAWI7lyFd_Dxf>L|R7PUf~eSg5(wiri^+3^G>J(
z*i9+~h`CfB*T#~`K`fcnDpN0nW)`xJ(n7$312f*oDJ(t2-Iq^IS#ar;eghWiB`ge@
z3m3cp^64d?Vgeno*tZp{I)b<1)IF^V%Dg4|qyKCCEfNtVkELj?krGEZ+$;l}5^IaO
zw5PdjdFqxJmFIx8g6E_6MOWu`T%(1&re%!nuuEIb{HWSo==#feDI$YwJ5S?tUmkD-
zbnM1srRqmNuZ^eGxgNRa6g6^=_JPHbHi12HT)P^f5O}uLntX3)`i9oAjVt$0%&+!<
z#Vnswg1cQofzJS@LeUT_!%%*Ei$xBq&hGY>Nt(kdq=ZIU62KuW6Xv3^vNbS!A0sRQ
zu5_8D71zo5Su0PV=_e>(lz2?VW5jvD{t^~UO^ntW0D-m9%l8rME!X1ng1_ZfQEL=s
zyFVe4!03x4)PZJ#onnvVZ~)>)XNqYkqie){!<Kc;dbPQgV&0*Kf^U7$EAOn}^$NcA
zsmtNbdxbeHWJ}s#-6FkG|NDCF-?>~XO__Wj(qe46Ke(O@0FOC22sCPj_K=0v4?vH_
zJA0GlEesIO8uzjR11Cvtv__UdVoN~ag~~!-7b>OTW;f&It-8SODVDO%h0Ul|naUrG
z?}?ll$y@HTTr}Qh)>(k=N4&myj&>Ww+Mc@RHD<EvDR9x`0^<uNvzfcLduou3c$jC8
zAIJyxYw}#|$0}b^rOl#_T|s@Xp?*lPWMz^Rbu-G}oKGCG(;D)>d1?7;{lS)>Kpet*
zyE@sSw|3*tOCA+`#pXjFMu0s5SSHlTvD8<){m5kr;zjPU(Ut3E8-GUhf9MFg;qhTX
z+Uo56+TLoM^0xs5zD@EZn1>m=Su7?G(~MGq|M_41-W!!YKK6l}^8y?MfN>o0Yrpnu
z_?_SR9sI!`{K2Ej{D1$!XLxb@lZ^<bQ=eCUbRoLAr#6gqQ9iAtiiqEWx~|Z!3il>7
zo}!1Ab(9{q_@oQyMA;;=Q$?iJkDU(GW&>lUwp5~O48|kK%4$H42bOa5o?}1M$Ci8g
z?t8(HGa;q@qM!I{PC&j*_~gYMDU`O^hee9T$v{eYvK{cF&q^qF3X~)ODNA-a0S4!I
zch!U(S=<<2sU;zFj?2_73x(rm2N(LSELSW6<SNQAYQgQkdIq{sx@BFkKv8O3H=Z>l
zi)|7viHE6R=K^ZPuL-4A-W@JQB8=M!+cYmv_E}hhzPnav=EBsh5wp~DA+Hl28fzL>
zpb)|fD%zN0UB572XPy#=(=7-k)}IwK5|Z{u9PqH^8kc9+<6yvqx@r}ywaGAwRN+~S
zwQOsEC4Ca`w~7lVM7S0ZVZ|MSdC!`Vz4CdrEhgj{yM=-&DPfuc917S%)1NW02vK-r
zgFr%PuZRanZY@g9YS1oJ?WYR3DMO|Im+cNqUTdQ%PYtL9z82PArc|^YnRKp2k_U83
zUMsM7;Daj&(H~UZ_0Nk|J$`Snb+8!w>?0(Wd)nWrm?cH^x#@0@;Q1;wGM<wmmf{u3
zfgwpkAep)ago*<L5xRr-7$}7Var2$3uc<|wlJO3ePK*blDyvOCe=;OV2a+DV!oaHJ
z@&BG&jCgi6;_2mpS|w4H0T`u7=JsKma0yW=FSnAl^2vo{u{40BmkUePxPO-QTCElg
zsI(*zc3>jF=x}r_C7FxGZItJXheG>AVjE_64YlDab3s8`1g2jD$|hBa8a_kR>^W|p
z!+<E%Z8do;bBn8GYp*Bf`Ic10*6b=Zb6UQ{+Jw$2{VgX9AUSh||J(iMp7;<zvFSrC
zH$g+v0L~Ap@o8muGH->)mkNppXnonqt*JKsVAho;pKy|o##I>_YGA6^qX7Ha!6TkC
zw$41MSPpA4c45p|H(CH%V9^f6c`y8<&vy9Y<t?UZ$(!v!Vmr!VC|d<S)}8swpjw4@
zUEhgI<;`wt4h}X$!o{T|gnD{8;>pE$0t^qpXpx+w#^-4&cy%}7)$N4CTyRk(KftJm
z8siXipAYKHdOX~s*|nGs7RYk80i$Ui*6y$A$7@@X4_Sx;Z9$Ffk?4>rZmE^L+sG3N
zIu{)j>*T$Vd9%m%WBxo>DQQgM=4w{8c0lD;%_|ml?~2Tl^4>%)G=^~qOCYoIlexs+
zQ%W3IPxI`Svb|?PH$*O5+dh(b?2<@s;<cEN70BHmW*nx3oQj84*^C3Wqgdu&UW~Zf
z8W@<Hes-Syj>-CZ@;)g?Klg`%*2hPd^rPs}0O2tzrQo-J`?moAfBw(^`A0qbfA~NC
zUvYhVpbbO?K2iulzcm|;GVca`_QggDl9v}7P+uMp<tCNJ`*&q}9;(;_%ev+i&jUa{
zQXX$WabH}EiJqGF<lME(`iRTBuZ>n-*JpiuqO7*OzCFkKEcNB(Wj)$9#;L;N>5&@B
zTPfphyz|>luQQrow%m2^>mE^`oHWy<e(!~Sa}&{Do8p_zkLc!Z?i7!x7ApXD(KZM<
z<&Asgxk_s|z&U&8pnwnn-x!VG4VhzV02a5&z_3tAN+W<J6Y6{G8dXHfRN-({5<zOr
z8F>@&JuWt)%vA^=YF0CTI+y@ax8O<%5OEMWo2h|_qYG=<!OA|)pev7H0jI|KzzP|7
zxgE2gW?MfmT!T8HDirmov%3+`1ygNZi!IJgv0%vrOd9cg>Z{CcQ2hzRkbqiTiOogk
zghHwc43hh4hQzW<?OWJwNs9`Q1VCb-4cZn+l9$=yC^^UiVCH#NAH;s`mSan}X}|s#
zps?28_GqoYhrm#!bMWiyalEV#tUQ~4=7JY)Q6c16vX>qRv5*=pI`epY-vBM|u?fqP
zwYEP&K?1#vyY{g=98ZDZImEl@KbLVx%I8D6HNIH=KVYhnAu=onf^2pfXqR+M+_KI>
z7^IAxM7iD_ipC)Vo?mV7^m25b;NS^aOUwnBO7R36BE(01s<kxf(;j136sG_p<=>ou
zJQtv5ytp~w^H+O~KUjUNvL;>Fju}^*jH?T=cE~BCR!Kzl@^&JA9ANQWT1ERoW18Az
zGAY6N>Rz)u4>{rK#fWq%_e)Hs5my)T_mpesDi~4MT_%m^9j2lgRwd5j<h;SwtjwS$
zPOM%lrD9jaLd@HUShsNyw+`IH?~O1yzK(3JQs3KpvgeOm2uV%&XIHEd^0)I9>bFGw
z!v_I=P}SARvj!8$*em2LZ?yVXBv%;eFDH$18OPoU0xd~ikXw?oq}0D0ny3gBb!ykT
zKi}=ec26%&*;=$ihzwx6-C>#}afZdtYb?74X;UfH-4<_m^8!5RlW4r_1Q|wikwaPo
z1@|<k0jby1%h3VB&G;}2N88uT)fNa~xm1a3{rUACFK;K5QY8uBM!-i~?;LMZWS5G$
zWJylvAQ6ye!14o_oF%adZO+)9z;61jbzjUSH2atTP9IYDjFcSmPlW+}6(z}!aX@L-
z${H?93mp_G<V2JkIuO~6BGbmajXl4Qw^)_OO*61NJZQMydb~v@<NxFFGa{`w@#k6G
z*!NRaU@l^CS4#+3;Bu?53#rSPs(8iOzDoi@4ZrM;hb(2h;5jP0I!~|26__<^@$C+H
zkq-X6hn*q*FLFZwyY2>^EwoDZd<JV)%$%KlD&Zn*K&b(K(~&r)js8-qe|M?J_Pw02
z-Ml&Pd2N7jzu)6GfAcp{YsKfEe~y3sum3gv!+-b>_}hQ`Z{x51wZHbLvVQOX_5a1o
z>$}&j%9*~U)PRsCFg1XqDr^Ke0&G!m98@)-aTQeUfluWq2?+O<HQ+Nv9dqj5<#n`j
z*TCzjN4&SM4}rbid#zqgVCk-`0Ju}rPj(X4*5L?1&V82K@#wExUo_*8dSE@CYk=>Z
z+V-U+mQ5*6ikHHCSC15epnYesi^1*Yx762trEkpQBt<<<S-2QS>@~U4&2Dy+`0Xh1
zL?TO^0t60{q-Had+7MMZaJTsF$n~|2UpBk2nvwTs2V4~E7lAn?n3YY+VSklPQL#9G
zFyKN2E2yxt(O4aq>UuNe<W?$sb~o0VTi<Tf-54a8U*8?j@0)fyX=0jZy+$YerEur4
zlWmJ{vKceRMtF;jSgc`|7Vai!hybW=2%GF~39lO`$xaXN_Ok|8o^iLEu-hlx9cD~5
zGJY0v_wy5LSkURJ0|7r-1wx?GsU8>gy2rtr7#=c#yz2w%3;7;`R2#pA5}lZ^ZH44y
zgC;<B%DN`yU#+1e6jKyz?Wh81!Zs`6)GYsy({ZrN`Xibc%7=hgopniqDg-sG`;v5`
zS*g`pF)NQL)W@dqqlRUfxec=wP_!GqHm#{74}vbWO42ITBcG`sj$E^G=5Pq+p5yMf
zdQEs+jW#3Na|+kx`iBw~7mF!XC4dawO@xnkeZs1+@T;Ue57<u?yF*w%&m{oHtd<+Q
zX@^f<?qgotUWqP{I7Fef;Qd>*klT()U4oOw5F*8()Bu?Doe8oWW>v1D-+F*aV%pvA
zfX|tKrgknT#GY+`-4e@{8?&SnK4>n<qaJW<M=AF(72NC!Zg!IK(MEC5&=MD$!NGy6
zi{VkOma@OY-KTph$`dUyfVpRHmG9cz8gkME7Ltj1&_n<W3#byxm?>nv>ztM8aol{Y
zu{wcWPU&P4|4#S%L4wXl2cUHiRRiyMzbS;u1KGlU4ePDSS7xt2y!@*Dp+?{#8z$S|
zX>Dgn*oGXg-ewG7;3V^7vp5B!T$7cgA2>U3Z9p{hG-wi186Vcqb0J09`-Ehu8honS
z1s*Ql{L*YPC@|FtwFrNoQpJ9PulHE@?D7uer18pB9<_DH@|GQ3wu!IEWj?h)LWByz
zNzkTNNt7XgpsWYmudJPyn~baNh|8_4<q82-ZgvyOUG$k}kFEqP(;;f5Yqm%2HS_CX
zDqf##GSvVFE7#Uj3r4r?GX27=wY?v07<pr-{x-n6B6$pQ<b+gpomaSpTJgCQ^VWD|
zt%WkuvRoeXsOaLKXr4tqi>~*gbH4QeSPc)840M76Otx0o<Hcn(ge+iVIIH|rtHq&Q
zoi-<l!_*uD7-d+J&zD-|U~De%P#5gMWAn?y*pQ{5t<#(nwq~j4b6=90p#q1wN|LT>
zAvt6$D{5E~YhT%PvcBe6-qJrBHspvqw9gL!6oX0U8(G8yuJ@DVMS2Kd)9)GsY;c|*
z;h0=5O{tliaR{Wc49V8!>TEIt^NO4jw%dD<+y~I3V-Ol$Uti-FfAJTipp@_%zwsOR
z`+xuMV;mocJO17O{r?HKcM~DK#yHxOCfIL?jWZO%wP$*Pl)m%3tZb0bSu0KQD9_6=
z)V7+E67O%UX-e(xi}yD%xJp-#rai&<xxCZuX}`C9u+mrbTf;n?virKnyV^cD)0xh6
zrZ10LK`pIbZv=O&U*{WIb&dpr#KHj_d_PrgQxAmY7xPOODXQP-KO_?%(AMi{`wR`x
z0_2@hY;EqNMlU|KUyk)*<==Y2xoi7c-P<wi-ofAoDcQ{-1KoUT3~ayR&rJOFp?jHP
zhl}^E-ACV6ucx-NPF{C0^wfQ8^?J~F^m9PIxw4}Qa-$rxu$tS$oKUvufC~Y(SsfGN
z@W@^(eQWc#`h7MZ1_di(87B8qFd)o?@%ErB4!lH8N)FNuYMsY*g}&eF(({5iAd=7H
zki2b*N%+L`{-eZfb})jZeMj+YH^U&72?LOlfo>6`zd8sQ%BTTPZGX!<1bhgf#w=np
zy)z{R)?Aqq1;rHDaY(ql*x>2ah^LnuJb$vm#byW#3U%QfD9&8e<uuhQv6QYgJNEVM
z0k`{Uu_jXjo?MEB=To)x+-@GP7_s}DD6nPWX5C!3n1=e7vtcd(m$Llayc;c8(#qy=
zi|uGLk7<Bs0u~gMk~E}1=oIl>+xG^7j|vEH$BYdn)UdK)$+1?3&h-%0i{ju_R!QG4
zOSe)uI2+ksYXBlzHiLk1c&+=XTjGWyopQpcHyHpA<sB6iQ%wiK_Fo$ln-?)Itb5WJ
z(Q{fkutm9pD+CBN*;oB^scUnEhdMDm@GxnNv3Xvs1&dL7xf!tC4iB;lTa0B55RVg4
zRRz-Tb`$OnvnSz5NOGXy@l97i@zjl1;sbn}gK{vj9R`UfJVde@bI0YwU5n}6w{Jhq
zcy)ci%i9B9Uhmz#x>8$ml78B5WR4%Eg4><AV(&FPPxba2s3e~g5c<81eTuz+b@iA@
zjl>m`jecc$)AupjPyDboCFG$6mu2nh7>ol_mSjHym_=Mt)zE<gKg>5!jK`i2PuTUB
zW1KgnYu(#jTW^O*^b}({Y9h0%ivios2%unpkok49pK+LG2OI5u!(jYL4&=9E#^r@1
z>Jqo$0hbpNqZfekZ{yd}rfF8|y%ipB*X+Q>?sp5nIg*2L5|Q>mV<|M&{!8lkh0cLQ
z;Bl;>khhGFY{u-dh%dJ44!s?{?N{3Yo6YO3|DIkOAT%na;733D5&q@B{FnI0|M(x{
z&;Hpzi{JXK-@>zJ&mLUHr=PyWih+jH|M_44;7zJ{rZ1U}fwetIy4ZY4pegkH>w>lS
zfxiiH&jLW@dK>{@ONn=(2Zjw?t@i-KHQHE@{RRSL{kN5O0p8BO4;nDt`i{!u4G#!G
z&B|b52ntfivsl)n>#G*zkM^OfBR{|FD|F@e-`B>nEqARvAHUL-MeSo@`&bz=7uz}K
zgW?}abXe>hYuC?orZb)COlSIfQYihMl|2CPKo7rz1C+eQ00IX|a&m>3y%hpP2p}OP
zu~Id_Wl%+!JsARg>Fd*i)B$h@!0hp=2prCRd#G%?-#{Ut2kBGDizMrWm2d|V82AlD
zC>{cT{cxZG)!|?Q7?{yA5+Y;lK)}m(7?20)2e)hz^jzPoAahQd8QQ`}v}4wT&^9M3
zIQF2v!z9eAaTFDC>2iqayR*+JgE^XV4YbTj+K>{`Ah9wncAF)t%2}=bvUm&_aA!*S
z)#U|lZ+9pT$3cNI26$_8t&r?kIo2)xVXMZ4To||dI}?54f=q5_5Xmg3hAamM>>X5V
z4G$cRiN~HsF<13%?UZf2eCAR;E4oom371<5`x2fKVI4VUP5=?H^b9QO-CbV?$S_OB
z+ue+t-HhA)<Q9!gn=y+;^LD`1Hmf^!!S!y!-7YM&ExC#S&K8P7=9|g*9G1c?oeS7H
z`FKK?NbW=cY-g#tW>vY`cJJ}_gY#g3c$Ix-UIGFo&Eo`mIHlk9MGS9>g(B;7%)=<l
zvhgLYN4VL_1xp$=sdZsBM3KN`=Tl?$5EVA(F1G@NzYYMt7TeFjK{@n^>&y7A0SHE7
zJBycCj6uN;98G_et_oclX!*a*x5fA*<8g676W(~SZW{}9*j&x{?|$V!c~t-O^u_=o
z)4%u^{{nyS@BKae-M{;H@elsNKX~wSpL}u}AbeB$zx+SW0OOe+PcH5p;X!%zdTKsa
zx{{nx@NL8~I^xSNIIJ<m)g`=M>3ZyCKLK=fE1^C;cF%Gns&v2a&P^G!x~yym@ip)b
zRBtjt1S;fZ0C$HOfVsj-0*0C@lDZ1z6emg3RIt~qdu6W8#$)ebH)WqDRmu!SB4SH%
zdL9#GW<5cxG*u1sPAN7zd3RfnHR3I&#YpeJ?vzaE4VOWCE~7ocw0dT%tO-szVdDx!
z2vVNlp~@+u2?MppsbsB^9TOHu#ok$gsxi^5KHTqCcM%`jaS`E3=7@M#gpkF`g+0?x
z$pm;Na}yYb5!jG2EkarqAst!WTO-C{)fYI}UP34|aNGo>0%&5Bc)z#9D%why-XGRy
zHfp7YP;T?Alme)$y&VE^oW5eQ=V~i_nbO9SiIuhJPy5{7%S<3FR!GU?F>MAm-nClp
zz1LehCYm*MYJb4u2O5i<7EdhrUCcL*18h7?uFX@?IU;jC+|S^11b$%CCQXSki?Nh>
zSKWmYXb*ClNe@=e+XF@*=3a9E1wO>9F2H--&aNB=1DeAkSBl!hsOCPvy*&7t#`A-o
z1%IaU`npD0-Jw*Ca;@L_aMhnV>hW@>Go5LTdW+{CAnw7@aCL=;tT8aI1y1y{0eEZg
z@#jGA>E9o9beTr2i`Rho9yDhlJuJV?RXWPGzA#Hav%V9Hu<TZT5|1qhXsKqK5p$X?
zqFUgee{brW+cr!ZcY2zuho&)*KB<he851tIqq|q9l(0V(+)V}hgMfA^NsQyE!sTE|
z3>B7FIcHD!baf$d6~|#{VrXZz#J0~aYk=h(5Z_G-ut~ql{#RYjw&zyCMcrrF@>X2>
zi#`+bm65%>#<!#72M`8UIiRds4uMj=i*!n6>2B7Z0aWibd;DHw5f%k|xHd7rB&P0$
ztVWMn!g0LCOuBaTzwLKq(XFo7r+~#;1Hi2yU=<<Hn2u$!XAKLe{;v2eea5c9rk|x&
zrbq1Sei-3EB!kK!H<_z8KWntzWc-i6_PBf?J-xLgB>?a%zw#>pfZzF@-+7zGzA^o+
zzxs1;^!yoM{K+I^G{^XA4?@IKOG^Ehx&lU}<+V_{rCjqyKn>7}a1Q`gPhO3o6NHr%
z0CI)CJ+I^)Ai@E+j5jAaEwx)~0<vv{$>KeQJD8uS0KRj%GM1|U#y|;ga>oEC1_9bl
zkQDH4DC*+F^0#AKXk8y{eOLRN33q^Od~+3mFC}=8V-2<FRsz#pu-g~U2+NyTMb$Wf
z4yRzAL5gj1H@X1MlAnOuX<)5V&So<pCwSbv%^-rDY(N@teiC!~xrWkhLex0OiF~oR
zBQq!eXcb@wlj`xl{i-MdnDrly9Z)3zgTxJie8iR)1S5E<eawHdG51B;-Mo4Q4L?Z!
zJw+DB6!BUt0m?WeAO8Sx<P9dUS)G6wug2BO>TmBLg(3t(kicVnD0v+?c)fwzfj1@h
zrsAY5`&l!f9^~&d6&%R5W$o16=Nk##U-mp(6Ezb}fUM(~6o5C^TUUa#5Od3O)}~4f
z00*V*Cs#fy@jI+52XERS-xi=_t(%SQEGF>Ac4K>${4l5qOER$6=A5rNg^F#R7>KQN
z&Xg!~bK;7sp6-@SvF2FGiR+?>X~29F-mQ(gS8=<AS0{~U1>dMDy{A;1oQK{&wtf?$
zZdw6W!ldrW%lB?|){&Yqi64R%2P8nllg*8a0bAZTEi@e`0Z6*ZS{-wi`DrnpQU$qk
z>X_(UnI?%hJ86J=Q)*ecH2@mbjz&1f-a6pvazH=X^}P(TH)}8n4~5T-8hwm-zZE4x
z<s&<D<8G#ky@BHa;Igt;W8TzoXEqnQh@}^N*!IyxN+e+J>BLvH{>D#3iPV2{RgfXB
zn@e=`Em_Ewc(+?bkqce4OL-Et@hHGe{p0hx#+;P<<(|ePqw7oV7xv&;zW>e10QWPU
z>0Qzq5ZYQUBS2xm!DoB+C=gB88BA{W#FcxOpm+~%C%4#cthXC*8H+md`-cp-X5Ng0
zXLPp2Tl`!vX1nlVdT8Gl+*TyFUJuJVcKN5jR?n<*^^jEtiA=_Bd93$ZXof+pN;jH}
zP_7Sd1({PqB_KS}XOmqV=!58qF7ImctwVvkJDUt><7aY#fu%X+uQo}^8vW=;KaxTp
z8H4caPHzG*p25X40iF1MOp$$%EK-krX1d=THy!!Xvy`;LV;HnBfNSx)DUc~PlDO6?
zMEo)bwLqrvpiPJX3RA8dHyC}#AY2l;Y8_KpoOygKMAk8s>KU`DB04oP4G;(^T-gO%
z6aJwmgL?h_=a-oG2b2o8^pmV!63F-9Chjv1Q^nn3c7@p#NT+J?a@#mNcCTB~r6evp
zq#VyGM4JWKI7qfF3*HU@yQwr;wL)2v0QMFPx2Oxo-L9gPxmAE*id`rK$rV~O;Hb?5
zR@|fA@=!)7-P4R_^L$(Mn6egnLhb$no_)`BOUnpr=n1Q;YwL{r#K0nUCtxLOu4=&u
zAnZip{q2e~*M0Ghm^U7)joh|OsM}~}XSWitxMI5Y4fr$*u&F?RzPrg?HY~P_ffId(
z(iULh_11NHeY<nuZBSny!bJcOSX0_blMHP^%QJZ$*gO!SHpUP17l`o=%R7V;PnE3A
z{r+auu4C)U=L$I>YQZOJXl<^-_(&B9p58`eZAK(|nP$4V`jqzedQ2w079fN13FXN}
z_)-8LEf4YKsl3Td{1cA}V($P2od=R<E>6_Jwr3&9A<8%a+hOoHe3l%=;(8SytEDAC
ztraz;=zo2Wfh&D)_rw;IW_9cRuY6@lVL{FOI9?$SdEysUMhH$^d9m_sP=AlWI0Bms
z;E9i;W~v`8i#!@-Y;dIw&ePl~1aPpp=N)T@RL7{>W_7PmVBiS|p2z{_Q_>_wfLgMU
zY>}iyPk!Q7A7L@Xb>JiwW0oW<SKGl|>Mk@c;M<5R#l(QIB@);l^xss}>ZfSjI|4*2
z+^W8jjcmP=jOTJ3$!+}@gtZdMKB+yBioI1Pq~UiJ@V&>nRV=U)idi@-Lv#yeofPt1
zK^`)u!yL@pI|wn;{c~*-A&E8*Bn4O9y1v8#SdqimQmV(SJd{~IGhz%_urT?F!Bnf8
z^mPx~hSihpx2S#GN3xoxJ~In8yDq$kSbOu1?t6{*_#7~~I7R)r9R1>b>j%jt;<^>H
zEbpGPI)&9%fZo>bdC|u9Fv05T@+$40wM3s3wfwd|LygbQ$7_FZ^*E|pcL1QR@=RxX
zBYOVy694Oe^N-)Cj7KAR|Nh_qdwl=<-^bO}RdfCJ_7?x}AO1rCz~A^Af8&iR^=+cF
z_2QYnj&w}FSZs6m?R)obj1S*9)5@0xkg|3Wq*wzTy0%`9+?JYK8^w@>Bev9x-{am!
z_=O1jFYjg?_EP|wrd&WR04g-rg@A764tlj6#j0<kF?Arq;N8ARHsrYgqX<Wvjht{L
zB(Y{NbMq<|GN|H8DnaMNWWSVxoBb4)G$j;C29^LD-mpAdC4I&eIlo+`U(DK#frQ*7
zw+yp=vuv5D>;_cS53Ecio-8bgLKQsmRBaTBcR?=RSGs`ya|pQ(B<N)k$PFBg&axB2
zrZ`qG6aP(AHUk|2v~WCEAYrOitW;8~AGrmGU2EnDsElQEziLYK*Rz-dumcOwoJ^20
zuw($fzOCP_-H7&<67J1*JLw-h6`lCHjDuYDdn@xdN=(p=V=^~%%M6`0_LIi>ibN9@
zcgzl6GLl<_Q6@smbUKqVTf@35lr-UO(_CmSNUeI8TboB~eb9_kjkP)7JAq7zYH#d$
zdp+^Z@7Hx_vDc(uY3(4wLD;&kbHPFT$_{h-(gkcI%Ufu+SqM0klVx56#!;AHSR@cA
zX@49L2!O!AJ_{IcE>xvNY$eNZt}W5xs?UG33bt3-*fl+81DI&u(s$-7Ex^egV;|UZ
zGJcwC#eArm5qU|@?-9?rg$mTYFeeNO;Eg$f<6Y&PDPB~#Wf=g`fX205;|w~lV{$ri
zll3n1Rr?!<bvdOb6R@~yN-V9*t+;Jos{7{Xu9|Nb5VS)+j<sc<59&40lf;`FaEZac
zONMK+7SCb1q6fL9s<lfcKx{UvaA2Aw3$@4bGBAd$!%^FLd5k^C+-UpA<btFV*5ecQ
z_bUS$$Bg}c4w<3qF}ts~^+PLr|7xZ5c@LzapE=Zwxm8|_8QaZ(i%nQm33v`o?h~2N
z*@ALbnTh+*6DORK*|eRO6?~e)3f2w)Eh}vAy2@6ZE^on?L9@r%w@Nqpo>DDzi2{VQ
z=h?c?ns8&xNxdY@YBos{2?Jm$UfitSI^&@HK;_=;81d_#Y-R1W*`s4^zRsFskk%4h
z7|4D&%>H?DciYkdnBj3_hg<?Y$~+#8rzQCKqy$OCgQ~G2<sCbF-(kjKDh-%x{cmyj
z2eSZ&$}y@x*t7dX!G4}GPZfuGZUAq~CT!~j&I4@?$>8!jZ-8l&F%b0w)vy2T*4O~G
zCk_A_e$n0AfW(M-iX-<&UlsC%S_j7cu*$8kmzM9%vjjrd=HGgIE86#eS@h@_g#YB9
z{1g1MfA-JtOTY9>`2P35k7v)G;ZOeLPw=n))xW~$pMQ>D{^eiBKmDiw6qlEm4=(dv
z#~}PkrZd2Jrk@mAQ_9z_tv&aUvX9-IR;~{zHSzxdgusgySOH|y-);tt<6>5Oz<ytF
zdk||q6MDBQC?y4V=2;4_s&F|Vm=i9xVtD`n`$NHQ3O6ZsDRNC+#k8fexNLq-{s<{?
z<kp}Mq^clI%H9cl+Rq)y0%D^09{v}i^l_ithT6pGXoUQj162i-YR~rqfA{?j4u-!}
zV(VGc-g{vih;d{EjIV!Po6E`vW6cf_d)w3EH&a&B@C1N?p{XfXo?#$^tdhx^$v}Sw
zy(@QQN?~na?{*+UI(<@Wky1ebwkpV4jw!3InAYxH2;_qK6R%Mod+)oHs14CJkHbmI
zQi59Rsp52Xxy7rS9S&0{{F5qZt~4S5qp%o?OxkRD%*yAQBx;w^%C*-e2Aj}-*19-v
zFr^mj^#j5}%3W4dS};sjrtKqP2o5l_Qq3`-Y+S@*KIWe(SH}N>gKOQg01o2%G$5yf
zTI5%^;8mr>zy=$ed6wB5R(RFNsdk^+{?+W632xz!rft#QXl=Jw_ZJ#oZ6I{=0qgk~
z7XvDSJKguG)b+3N23p$&hKJ=)iQjCfleIqHlfdz9m*E;3mpHWi#{mGc*tX;d26`-j
z4FrH~pg#kG^9lgiQ`Yxv#&DVA?`Ap9ZvU;NT>HJh){KwNJ?C|%AQ#@#BPLs=IS>GX
zlw~pAm=D=Ye13FowdpVnS!1K6#c%$F_^%zNHFFj^Pv+`LSB&2^JXx(w4eVi{zJGg<
zQze>54sNAL{$aA;;0HyKoMk{2OUYRdn{VzW9S^C?#YVEq=9HR{9>=KR<)tY92++q4
zMydj4r9y!`10AcEV_O-wEjwcfezgXG#`<gfRQduDCy_iP`pm$5NCYhVHon8--ASFa
zecC1tVet@X#eiSW>^tPu?;LXCFk8}?;xhgIFfY~?lO_AuZnA^XIRj;`*lT$^3+<vj
zVq)H*Izs{|vv%}T^c7rx2ms9XsF*Jf*7-gg*JltIRzk;U_8nlge|?W(IY{NcevED1
zC1A;)eGZBqGUSXQX#ynAqMbYjVTHUyz*Ue(mUxU!I{(*5bUU?}&oOtCG8k^A>@5iv
z4$Ah#2<jz={Yaw!{Wt%M|Lo|TcnCcjApCd#?%&~`|MP#2-}}Aa!=L=gpWx=^2G5>7
z!(aFde*u5<Z~jgEoxk&U9_?a$1_-~tbOspD^pi|$ifLNAaqU3@U><UNBH=?e*Y=)>
zRkp6Inj$}D%OYn2TO`?#y|KpT2P~yfuTxTMCE0-HA_Cq_eZYcCDU|(;r~yy-ItZL-
z1YR!NPS4<{a<0gNgoKJlm~~*LeVNylK_*xquwvobdJ7^Y03}rw2BMx`7aH?#3b^>L
z$;Q)_0Kn(5Q48|fy*ged{51X9Do~;9$2d6{hF0-r(9BPd+pmqa5}JBGjE)UG&n2MG
zau*NV_3GCHkSQuPSFNzyAX-uC2AsSs?z^a&@S7a%wZ3ZV$O1L683*hSv##|}?p)Ar
zTtiiKO>k}5+~Zk^;&FALCdGTXPa378Ha|D@cA$ZpoP1ub^UnYu9>%wAE~iCZ+dlR_
z^hzpk1-x%+N)h9b%Scq8UP<caO^la(bJtGo6y~c@_u#*AAfr5w!0vgjm}^+v*^8?-
z%Hxu1MQSCW+vhP^m-e09Ev&@>mA_9FG2;p~y7f`)wnjbgy_M#V&7A=8<OhqFIV$il
zY61tCqF31piwBy=G1kKB0a{Z=G=qT>E7|6qClH`@H7Z~%-~%uYLt||fGDz!w+=G2@
zLJYcaHrr!~xkLsq%jT+w5~bk<QQy*JmNmCnv$XB!R)X}2gQsh}ue&Z^LoFAuJwPIV
z1_;a6WLDh>5Jem6u_r;m2#rC^_1Elo-#gk83;?sZ(gyMvaK=d(A~{EueS<b@`zT>~
z#7jl2Qw4xBxAcB5^|4pk6*Vl|ry{Yi&C=CDL7V5q=YRkeIcXhtKwVkzEeq1N(0<oc
zmW4{=pE<406$ALqb7#zAb-Niewg$G3de~3NIE;^0fZY5`0|=G{V~F=}1_@8VVBnyj
z@cvM+JBW4R-CoLd_v}*R&~FZ_K07F}dToa6;H4)vq>hrfeQm#ZUlVA^ar9cN#`Zp&
z_aVDU4_9bNl1BDPzDI?j0NMiwTL<M4D=8Ew=GtHZi1#y_n{j{@b?;*z_VNSEX)KT2
zM?OY~{e8Ph__e?C3lDAOdby7U2;T*r0m5%5ox#O#KdmXuYYgR~iuFUv`ZiFa4=m6(
z3RrjVgOpY*m8D*R1if$ZJj+nFxgj>_{yi3$c%h`)|J1%gK}%CeO}L(CiKkcQ_H@`3
z1l!bC8`}w;h`oGKU;Y+A6#;;@iKi$ite&tC(0hT<EQeBZkr~#?3>AD;h;C!pv=)7j
z5e&Xg)XUQWN`z(=eH=n~D6^S_z;MkAfEg0+iQi=7oq(if9R>iKLehf~4w&fWu;d8~
zgqXWh$Qu4*%02@X&2_rg3xXy<GQi0n!nu|D4gm&)AWcGVU7pe}zjJ+qQ}pYr?=$<#
zyv2C{jp2evn6)pLOMNcxisEj0wH2Tu+{cP4E!C}3r0u5cVPOdZ$o;$h><ORDB3ma%
zqnL13z=y2C9K+#lWhG{vO~t&le&I1?J|b*}T-{;rchU1??7aZKWxW)wUnm_t5KVdr
zwV^#A@powDoL{Ek;qJ<7YnS>5Rwrt&&#S8O&~#qT3*}JjP*)T=nt;I#g5R#~6<nud
z;4tZPtMW=eZVRQcX?uX}{lNt^GytjvzSrv+O{~Y>3MZ7>wuX%hF7r8Gll|`3e~3An
z=sAnKXyCC~wFr<T&oBVeTRs_h+RQDTix!K~5>%~O7e16YA(mUxG5Fa1mb<<!wc`Ev
zpW@?BUPg>aw^VDb){0sM?I!_S4w^t9){QU%w*E4U%YKafa|!^4txDaMK8X}!2e7jO
zI;a6iy2U8*GjjtK%hB){v2iwl;&p`ce!d8BC%}!%OZr;?JPJm-wIh&{OnO`Mmi$L}
z{`wwjz~!h3Epk%pbY0u_OoTmX0oS;vI}r9i@y4DX$Y<g@K0YyS22>j0=T>OR_9~Nu
z;p^N&LfH8A`=q@mYx}qElCEyko2=nK!fpI+FJPecWw>Bh54*s7A_IZ;&W$GDxY%Y~
zZ3YZOUdTe$ug9!}PZ4K6?s>>a>!;^oCfhV?)!tuMuJxatrxx$`xk~cKwddJGX;n5j
z(&XiyvD`a&4hgTdxWF<VX8k&5u>_Sky$smH<>UzUB4z#c|NQ$89*fobp8>)%eO>7c
zF#cpwFQ=>lPj8)$D1s+$e=Q32?wd`l9LI)7Zc%1I<N~0bBuc>WN`b>sTaZOIxYk98
zg=l*}zuSaTpi}%vFhxpgb|0XSH=>(h))sRMYEMFwf=?l3`=(q2v<Z-b+NJIIHq3!{
zL8<?2N-8PW_G5q!2Dr2Up2SX)F>;G0$Uh5x+1@X+qKN~iN|{Wb5Q>v#<8{S8sg-R_
z5$iC8Qf|PECHbip4H#0?9nFA^SO+|hNSUFz1a#m4+CcZL{P=pZ`@4y_b}xVL`7jH+
zwmj{xFRL0LQv+TYuRtgw{<^MWHWqf`ZdtN7<A70Jf6QtG0B-ja_EUkm={$cjVl!rU
z1KW9ACJJf~Xr|W|kYZjV3au!1)*qF4Sd2{zgw(F>ZtvMBq;Ou<^NXg_txo!(ca2L{
zCkA>_(pZbxpLeh@!GQ&zbNc>v4FZ0ULgejq9?oiXs|fWE_OM@LL9FdCV9mfNo^Q5Z
zKzz3Xlx?@G<FXdu>Ty@s3hLLmZoDV1pWfB29G=n*;MvuS?_29O+iz?RG{8L7FFPQ`
z^=rpwQ84q^u6$O`d9UYdJf7D7jk})xwM?gpEL{Dw#%ZK@$>Y!heGL2^0}mccDFGjS
z^c)|5{Br#u5|VW5`fkF_-GrOn<RFLv1_Gi8P_xmHE(|O-8KeosdmHL^Z{e4dglWCq
zP1x;c<+lRNJ-Zt5-qi*v8!#owTxLx`GtJ@-DGBse+{X!6VKB82!(wod!KS49AnzAp
z-AMo@jZ4z@4TD+b3eWcgJ%{Y7hUZvXnYR|_OKUIoLh*TQ0FJHE)IP&9sn@svY`ldU
zwctm!eITVuJVp~AB?IR}#sK2LK*p$_6R~ccHzaG1^jjVhfvg$}b0fgxb`TH>2te8r
zE<J?Ylc@vy_yEDc`nN>}w6?$=7U1Blu@fitVzAh&W|eFqQ#_ee4W3q;!9&--%wv7<
z{aFqjv&!BZK}i4OF+}X?3CG-`vmfYOj2XZ7SAXG+`t%GCp6OdlXMpicOsrh-2Ht(7
zi>cediFz%%(-j&w1>F(M3V;vTzH;WfLXGajO4$(wrcr{ZAMQIy?6=bfbo5hMeqgyV
zwkMwI!j{77ulU9yl`Ov5hviip$XM&H75gg3$J%dk$AECn3b(;d2m}e_DXe`!3bzk!
z4M4+OxJ{sLlmP;?_=J8TFcW<l{njtZ#hPZtRvYaA4L#>`x5iwo^bG6|uLXKlqttYD
zS``LOsbBD)u;{4E+gqjLgmSWY9m}1y{r(`T(H{nMay6n}rmQW2kiM<9K7sYQ(k=V-
z-xJ-J;8r3s=Vh(9V6QJTOE<2#fju@i#+*H~?&VezM@Y6>ir1$WAM7U0u2QDBwF!Y*
zCDkm6d98&4sfvlM>Aq9?zB{&0L1vW!hihxq`oQgFwErY?v&BQo4S%*Cvt&v<CkhGk
zRoif~&RS;D!DFbAZFnjoxr5c&-{A$uMF*d~Y^`-gDB=V%$g89z-n&XEi!NJhgN$kI
z#+rVMroI+`Jhp5XyduTtex3L}YyD#TY;#j;=imb?du$!s`)uu*MHO42atu^C2nc}C
zEs4~9v55(12a@#N<b#LO8bCOgiksc!px}OL71SXoJiQ$8<Z{H*i_t;B$58LWy=JYr
zxV{27a(TN$!QDX;z!+@?Niwq?^U;3c1DF_taD%KBILzjv8g8gAB3DUnVq+!l!WvG3
zEJb(wSq^E`@^TU5Fp1@=xndgt?0bsO$Mztg-E5?w)qS^CnrmVqYx@Nd?#lK6AM!R}
zPt)&`-mL0jQ=KIlvF`=6C&V*dz3dOkoV?9HWC?avZ}-sd8iTL4Mstpk2+g|H4Z)In
z4SFyqaY@y6+COU?^&GLn8?Z8k%no}$)vMavu5|(I9RvON-utMDjXDQlXpdTZS$^jD
zjoVTFZ8W2N2K*4TbnCgV>qH?D%yO}miWvlw)4>6|MVE?*oqiuxnUkB%fdBE={`^Cp
zI7(-L@JweqLT7;S-O%d_$X^!<m8HGr8*mcy@P@M*lRu#pKjgg)7`IZ+oAm9PQr;^<
zUzc%vi1`0?sjCqSLMD)gk{d~A9Oz^Bv!sE|QGpyvoy3SV3%C%AlLq59P?g`mbW02&
zZcU&w3dPr4RU#v3WyQuU6N-W<HSVc3+y?;#V$bv-I;jA#l3`<R<4tpl?`@x5uBg;}
zkTQoMW18lMFN6@gv@r0ZYYPf8F)!sg9EH?oF;{C_h0mwA#RpwkO5HjDnl)lU%2T2&
zkOXo>W?kwBh_WCVV`ofro2Ah1^Y}z5+R^MAq^O1)o&K)MK?7LY^Bq{%%mXdJEF}F}
zx7jJqxZ2<7_9ov8Q}oXoJ`rs(9lkV5a|OkCrMh|*4W*#6V;o!X$lMznKq>_gl6aF<
zkW8%FE$BQJZn1N%P1uO0u3bA>5%#)vJa(}@{XhEd3%VUt9=l_J#GCGm3DLi>zsU}=
zGAv8)qQ<Fz?)WYq>rK8fu;9s)c;C{$HlE^EjK*^5SmKFcNciZ(r}*I?zmVh|`&lgS
zxIQW2YCGWR<%p-3BQ7?_!L~1xN|kU5pS{}S^Xr4gWdx9bC))u}E+ixJ8mMwCmSn{L
ztKsgu!q*3Kqu!2#1A`n(Z=Nfz?<U;tC*17|4)YvfbQL*eJ7ip44A_q1!delr2R)%)
zX~SvwTwmk;ogCHdeR@N~&-MOe^Qo1Yq~c<68SyYV-lg+1gln@_)$8Dv-UbHgI<}-P
zGPd+!YRf=eYW9YQ?0bt@+sP8a3)_A&x7XgK8lbgI2hq{ra1_mWSLNFB82Y1BwqFlE
za_Tx;B^DZkxfHK=<I<l+w%%?sF4S#%JL>1{;Mt>_cD@FM+`I%fTNi08uJz!eTR_&B
zhi%N&ieb$7-<|=&Go9({M`v*H?a(oHoMLZT&{xjT-T|#`>P{<?fp4Cq;HCcAPO${e
zi8YRqxhA`ynFJVsDK0SgDHViF&;+?(X@3_|K7n=6L|$UTWIP<Mt3iw5ucFlQIP-mR
zb8Y64$gEM)ngHG^o%c+Zr9Qv>xvpIMmQcTD8-U<7o_}4+s=$YGp1N!HodxICLN{yt
z(2I)^``sil0#!(LR~$ft)RUcNjZC}I2joiCDJLz!(Wyh-nkkLK80~AYB3eVo6iU$j
zi3g|~fK^b8zo(VYwg$TQCcxvnIf!N8N9wIFNHIyt5q7iAE3+yUvw`t!#TIX6i{g}w
z2PIOxNipq!M{mjlCN3W?(e}gLvFJbhTx!>^G;d9juk;Q9rYOXP^Wx+Rc+q~S(D@0n
z5O3PqwRvIY6B}tLr|XI;1Cx<aHu;#>2qKA8Yt*sY+@|DWrNZ6SwSG;#YgnvuzcX<>
zNnT?iAlyT(KL2Q{Jgz->5Jfl2eZ11RM)xdaPD{+q6xaQpD9hbZ9S{m$m=chOjCq><
zdjdR^!R2Pa#U^1GhQ&b|hrnpO84&9>-j_~aLmz{1`MZ6twc=(cz~J@W<ZE{`W_<8$
zi}#;wBuUP_<03rVttEF7yKdH)uWT(hdc3&gAqxzUh_VW9_hD%`m&o>QqcS8tV9D^z
z+c7Sw?So|dQ}TBkFzN9nlZ3RfLsth&>I(Q`U?bW!wDy^wnP!VoM~9re5~?kyzTPx1
z(7ns$qxJc1>%lEz6Fj?bB*bYgwtY=N6O3qK9)iLFxmX=-aERastMb`mUygB&|En|T
z#J|#)K9qEO5J%u$N<RLPftq9%=m8F@hY{)bt-hA4aY`Q;s=(%|_aKdz$^Oh&12_ff
z_67CzEz0*N-P6t5(cGZtVr>WQ4e}EEJdPRv!+-f_?`_k`_MQR4Go9({M`wWX?NJDm
zE7!YgzHjx)(F&09K+*b4-(p%-dgxN4%)%7h`)AF<;^W98U*-H;6LuDBY-P>4IGoz+
zYtJO=*j5p5TiyUmRa^qS-)aEgcHi21ew##x=&eOVQrAsYSlwkZal88r<4Z*(1Y<Zr
zU`b1=PP!)cQMHow`4htGYJ0RUIVVh0Y2MrX&gBwVV{S>A+o@=t)!l=$S2_7d0ga=&
z>yWjUgGs6V%k8S#c2*ktxt7xM8M&{UpuKXW*Ic=(G3Tt_r}l{cz0r@yJ`0!>b&RJO
zKeU<~C{-bW{3}{lrJ|-rQrC5@s;Wtw_iMjj)_8VpZLKPqtG&_nL4Pfwv93$0tB)Os
z^b1=bTm-qN2Go_unz}4_8Y#2-3cE2={VX070|emp-ZxIkUFAr*l<*me`r1I?M4w}=
zEE1C_53>2r?TD_Z(I3WT71^`HqnZGef~sqm`>%32UazX_88Js{ZRW*V*VmOVd~I!A
zrDH!lfLg%WuJJ)iSil-j^S=ye5P*?r>~k|8?DxlTV4+eg_J@MILs4Kz%HM7VJiQR>
zry)zAy2xsZrtYNzhiR6qwo}2u+^2m`3Se@1G2qE&z~#k&%kAJ`o&ivYsp8e`0bgA2
z@#1E}^=`s66;BRTs?4H1By4iRI10cBu<NeO-N@_;cNuq3h(OZQV@NLRE0&_R_gIYL
zQWK_063y&1>CAo-H|@hbOJbK2A%X0m*5nuIX7l18o}i!kP{Lv(_A!H-FUdgc7&~7_
zUPe3_pt8l|l(>FlrnPGCOv>l!u%T3-%*A8Swy_#JnX2b8T>T@=)8w?Zaa-HlY;7P3
zh|FNVgSP-sEWt|KcU*Q8mos<ZqQ1B$kaNP4pZa*8;8U+d9P8KiPdlLFYxfcJb8jz_
zhHsF=g1`AI|LGgm^$ZZ6=}g~3Is=SvmsqFezW_WAMSEgxrsT_V63(ubXL>VQ01K;H
z_338-L`GEL1d>6(OX}A`YQ86xSQ<q>C3Qbb9#1i&Rjl%mJ!yqoQ6)<tLb`G%uGH>B
zD|o9gZ}q96i!&$?@m|6`+JjW<scnVEiLqFXz^V`lD)&vO1wu#=Y?ORHY1fhH6xftf
z6KLB(t}1o|k<~bq1X19Yz>ihPG78&#$SDHPFY5~d6BdILLU1qW+FWBrrpY?0V~`Rg
zCeV;QyW%_-94Nk!-QV(SK>>W)cXQ{Vma+Enm;#Yjz9hQ;zGY{>Jr?sgrADXjLjW6U
z&13T>r{E0+)E0Gxvo<8SQYF`xwd`Y2mLm<a%cm;-E;N<Y{cYy40SXQV1;FhVfcC$x
zlir#q=G5}qDS(WD9S0db-k!P9a>9<R*>W{Qa*FkzSOG=1o(ioiTU!kJ5s=eVyP{by
zKF(ESn?&O*bHyf%Df(^W7kxnUrUyS;;9{K~vSxV9bAs;`#v1`k=Mb)u_Q%R+kiWNx
zb{@_b9bTe+klfpi7xo88X6ZL6D2N0M3Aor;Vw55FX<~L}9X!pF5#Ew9^faV|aZDaR
z&Mb8!Mym2wEyrAcZJ!9fB6D;YBsSev<I|b@ai6Vr7!oohOiI;~8jD$g5)ZX;qYM4@
z4axQk)Mjpn1(s&2EgbhX`oqSVf#9t5wYEeII+-E0R`1)xRIoQ-(f-wtE$kg^J#OpV
z61L2>c+xEB9Iz!+6UFWvlEn4YImPa@i%=gt7kOn6m<hBpksL^wZeu@CQb7HW50{F6
zPVp99Ps}4?HMI3y11Ik#k~JE)aO2y_)@6!Ba`Zbua)-$vR9@=VmEC8D118)0veP+O
zs>T_t5s$dZQq7y5wUdS?-eG(oHT(wDr#|Mk57mlsNciv00O6U=bf&jSH#ax<zx_Wy
z{i>^RrZb&sg-k&4&wi5KgEJ%$rEnuP1wi7jn7}Co=4_T{qA|^t-P`1P>)sYXjwpvM
zSoX$kP14Gy&54DkW5S)>vj#gXg;ct5L}9J;9|Mf69E&hmnn2SHz@=rZD!%WC7!X=0
zt|s`>4c?CyOU%F@h{!*V0}>z^goljnIAAkatgnok6iBLA#@Eq);5a#~L|E({6Q;Re
z49u{44_Op70gj}fS@<@2QiN;^s-85?6$|}<#qhNGZAmH09P{7fX%<qL$-S=cb$4gv
zHc(?ufgCosZ2Z1*0lgz`Q-3g#)^6$=;H#46ArLx#^GIz!_dwy7)i+BnvVKorA8V(8
z4e}*;lmH{_ZjV~ykc3KcrM%<2cFjoj`euH6A}fux)gLw>89<iWxe0jkD)nk_fE&A)
ztzO!?+;0byx)G25O3nPR{mOtd=UU!Lp<xGKhVu~ynOfd$0AX6h*|YNd%Ut7rUNqob
zTdk&=yl%YBynpLo0~KnekPJy<X_^~7Vh=R?Hcpfjb3(z++FRNIH4!*x>&!rnx#Hk%
zjWGvp9t}x=#qBoXVl!ZqhlS<eo2*l}LS<0U4)j1EToDknR&*}=mP~26UYb59>%}2k
z24R_Rlf@V<5kro_Np2s@U>xTZ^w&T%KA7Yrc@Fs4ya$b857svymSi#%-(-8ft^efp
zCNMmN1Aj;L@~rH31vD0tb$Q)lUmDM_y_EU<DL%?=dI(SM8r*$MZ8J5@hr2ZEczNO;
zjXOMKTlvWkRtyx3F{C6}ApYvTLx($V<*3|HpEH?fjW01Z`vLXikQ09Omw)~-y|nDM
zGeCHzGo9&e(%E|POlSJ~Q?KZ=u*Zt6gLJ8Tu9G3T3<fy>v_h>5F|9yz6fo<h&7%$K
zL`Kr!ypBx+&<MjlxY6{_!)g%K1uMV&TZ;%qfO7p_+Wx4Ic<;L;@4pN;2D0(aFc&%j
zKg^<ulR}K@{<Ik~#xY|^qGTPWiv3iu*Z5zo$XndQ!&I=Jq$g5JxZH@v;9=5?ol_*m
zF=5(ViR9g;OrKUMY_9joGy>#Qw>ekXBy*)%$P7cqCW~uVN{PVA04a)nuVP(3&6>@#
zhGitcYouFWRNva)&`~ehha&Oyq2Mp;Ycm0;M;2eB9CwQBTAwWXgV*6B>ijmTuV!EM
z1O*mN(NuU032c-X)}Gy*@Ow@)aP6m_@AKMd;*{n#+bp|rvSpmVqnP(ZZNLH!-0uKF
zvDl1qKOfBK6`9Yq8_NW;e9~)`=F&<BtO0?Kp(9fcK+AScy`$NGI^NIwar55Ssk8C!
zBR@0m;mN^ZN6yB}HGUh~L_b#FoFaO&JRdz(6<n!0C;VW@z(511E#8_w&cHJtO!ob;
z1eM}IQT7t;YFi^VH*0m5_!VQzcTTIa7eIVcCalfptf(FT?l7NEzHWxD$VN-K$I3We
zSs8s33aC#3NWv@y(tN!Jh}awiAogB!*Eayun3%19E5nlPFxcN_m?qhc<;$*~r|7<e
z+|+-m?c7UE`(hr(?}>g-&ArZlo%b4Vm9=GYi`%%J$z6<p<uCu-{S7=pXMpfbXFAi@
zip~Jzna=dhrCy#~1prdSdgA*MfRtNpZ6Vw>ALw`U6GH$kr)1lQ5DRSfp9}EbF1klQ
z<nDRUZ?9Vi0De-uu+*uhOvPtboSV;G`R`f)JO+ZW%3=bs1+E`7_?Oi!X8{JEUW}-K
zShQ#W?`bYTP1uYH7h{%qTvr=By%3PH6lgLPv4XL`9E9GK&UudHD^n?*m1ER}Ekn5f
zSdk;u#4SY_2&o0AsWx*xtbQW~S11(Abzv@d=JxGYE#O<*5$<ut{<g|r`Q{UV+EK8f
zyXRfZwFSTFKJ?aFO&vn7UDOr*z1{B(SaqUrz7Dh)AL7YoVFv!(Pm+~;f#Y+h2WPyD
zg*JWc;S=-#KE_4Z*sK8^1|Znd>cefU&V!YSd}_?s_}|(+_syG}-VCrh)vfmx%b->6
z7ZjJGVAXM6p&-$bB2s&2)BlUOn)bJmF9-xQYdB?Of+Z%3wby$>tWY<p_?^8=dGpB1
zKD|bK*tE?49lvpV+aLR{sVld=Ci9F^ln@AIm3LmyHOSnA`?fZgk2Nd;mvsy3_fX3$
zpOS_ENm0atWzf5jQj=iIWFM=X?`346Su1A>j$}M$d3tm%yaih0!_AyZ46?VDs6(Rf
z3<xWV>cFc0wiz>i?XUcqH>>X%AUxBV&h%}fGr)MJGktw&q0p!P@4Ar0*P)hcd}7*L
zK>`eliB{6P<+(tqLSfa5r*+j3uJ6-j*&@x9tFXu+cSCE3J)`j&P2uTY+r48&saU&E
z<8)oDG$LDGsRD@ABJNa@t<kdL+Wi$7DTHb&{-l!iC6QP%MM8j-pz*MBSTSZ1oW~(!
zGm26&D;PM<;!cMouAiu)ux-bTt;YEp)!%C_5^HMGApeKivJ2McpIO3~3t3NQaT!XI
zjc3ePjtv)avjW^G)n{&7wkxov7ScGeHHJOV6=9&snsoxtX~5P~=YDVRT2Yi)k@MdS
zI5+{mtO7PCs9!q_2-<b^{0(JvWzE@Ks9g-MTH-UeZLRKWmHx_=uWu0ffl`XSA}hdQ
zamQ?fh)k{!(1XfhD|ef2Lr&tJs`so}yhnUOs)&|UN)3?FAEevtdN+Z;4t(<zxqGXA
zzc*enqD`mvN9%X%v$VK(<waD9RjamySf|~iHWy-8Q>=NCGu*v+u&l`(M^UWbExd-g
zBc~(>P-5vW|7t1DBMmSehlI<mBz(EpNSQ#)nc@dn{b826Ppg$YTiSX?W3s$;&Pu%4
zuRd_DIgh7n7HYucg#hN-yLhn7+KuDqJ>>nime;{epjIBg)*=rOmvTEaD_wnKjarOR
zsy$CPl1uG9-Zx07D7r_-9w&#ivEbR&-4?}iPq=5X^pm**j9b|_LhEdXg#Y2c`g6xS
z`2jS((bH!-)0xinHKV`vS6|<(`V20f=_iFADy;R-Fujgq(?7!iL4SvfQ!C)un&m*w
zA;kHKG$j|Xlh~{voCp2St-v3Gb$jwGr|2wbE(50n0UVq{5FLy>hR{F(84|EPVS)iP
zlvIK<W_rv?98soTlP<5ec=7U1LAB~axCdyT3Z|I@*pq;4<3&nJqsY+b*P&7+ZlHdn
zU*?s&*U3O4>1*rfaH&iw6ccv$F%Yf*D3bztIu_#qAY}&u&HXw-loxX|o{IJ<foBb^
z0C)-FLhXv~%3z0bLZG2qtgw<bWFYxEuuPgV=gV9%)hd5Irevp_q61c_&ZqPsuQG!?
z@yCH2R*b5b)q#)1)EKN`>)BLkc2uk+3|m=;urXPmor^Z<-<;Zu$xyCJRqg8Oz{!#7
zd|kn$w?%7k1JI6{{V*@?T7G9my17RDamdMIobp_azukb@7h+~I#{!P$NBwtt^qVk_
z3ya0aR9f4Zsl6?bL)}`NVU14fa6%bFxjCn{I+Z3!@P~L#E)oCEZPsM7TxZvL3l(vI
zCU@CS0_N2K^gNk}fnd5XY&RK~qX2@Jn*p0m_Sklo%&nDEh6adwESdb#C&cLE0nY?P
zGAKFCGY(TEX5+tW*_Q>_HTQDeLv%l6S*ii~QbMhzIdp^_fPpe8qoU4{xw+Ck4Dv0K
ztLT?g)6^|8bsh{U<fp-s>Etd`IV=WYmBcU|XxO};>!rU%T;uAX;jE{$1tPa_rt8xE
ztp-HeSR~>ni;)qU#@<Kg@pQHzJky!Zbf&jNXMpicXZq$6hpJ;`;;7Z1{g$BCf7t;T
zfWR42fJ7l$7r6b}0`;J8NA!nY`7%(2tpPk(x`Rp#1`!}>%8Pe^y!Y9Y3+#3WR8=;n
zxne)f8o<7K{{R)6G2>z!Jews_LeVUm_N*x^hpFKDZpLAnG0&nvSO#WOa=d+&lnqq4
zW#|gf@^v6qQgckMRSSTeDv|=)o}E@>8(O@tA&Vv3TqE1ISwHs4U6`!QA!koeVCAKx
zmMiXJtrnFv63m$5Wl9WyuFosY%?NhifOIurwran3)>>=ySS{t)?Q2Viv7mQJ{rX({
zEzyNkW38K&m9GQ8nRrW$=kIOHk@fLat(m^wi*Dle(m!NGm0tx|6MgL)YNl*!<jB^_
zIIUG49WPI44@K(Y_62Y2DH{)l@jZI2muHs7UmxE0Wl=vKJXid{Y|wbQ=B}B;!Y}Cp
zTU(xyWUGx68?TG3!UF@18k;d>g(IJR?}b~GTcV;CKuit5_}Je~CYejc{xD-d73>ab
z^>~<Zm@V;2geP$@F2Q5@TG9@iuyd6ILJ9fNhPzM<3=#6AE<tA|z87fr9QhgtLP_i3
zpfOS$d?EV7JTt1xX)B&2XxGt00sN2&V}I|*m-}C(LRhjHPI$&(E+^t?+^4BOT8n4e
zEA-lC$oSv=w}0UQtvJ!XGeCHzGo9&7Z;w&}KKkf6KK}USqZJ#YfAepCfdAk0cI$Pf
zGo9((Q?KBqmFt8PInWrtC0AB@Wwr$rYXfYoD!y+*jiMD6i<T+U8-Ng$1B5aQg2)Id
zC-a)TWXRZLvC`X3z{{Jx#}yn0Iia6s0h}(z0pkE%Y)4$FdzQ!ZQ;RkOw+?f`{vd$k
zZkhu$GlhrxsRxC=azU6#@qnnL^|O9w>kP~2ZQ00&3=E@K7H-5u1{uk%MGkXu>ky0M
zXvzj#^DZzHph^5-*BZsT2T!n6fNj3_V33WA1LVo9F9<-S4~1%Ys@{uxj@0vYsiFmd
z7Qf;3=GI#M8Xf}U6>)EX1#)wnwb;r~1vn+QrgSTv3RqGBR@S90o#MRGX71zF@qJCY
z7hFZNO!N>&KKMZngnu=4Q9h7|jCr2d0YJO8;~!0Xj;t3hsMm2BK!|I)o}m`KT4!6E
z0kUXvkA93g@bOsRukA@(FSEwGH$l+XoKCIreyokZ0n5FV$CCFtOV~0DnfjE+(@T!R
z7%Zl10RY=Uo*mKw$O3F7vup(O(skg`Gdokbi@Ai{;Ak|rGbKs5rEb=7fF$>^g`d5v
zr^X77fI*wTcId>hAldS<1puQz6J0Yt7Z#tKD9L`ylsv6Xs^lZdi~?=^-cpL!OZLb(
zFtd;!!3&li6On+Yw}1?O+cTSE^Og6_ejnv2#Qi)B3BP`JF+S6o&UB`47ya@tzghMv
z0QlYC{Q*9ofLG_kmouH|OQZf!pe{bN)B`Rl*G?FOTPg5q^`O>@Ic4Nr)ygC_LB9J_
zXSe<$Wj8FsLbxoQLSr=K1eD~8lvyMuDr;8o={{;)v>GKP{th|eHq97^gnT<uA0)5y
zT;NuR(;UpsfSZ)VO490UNA96|n6k8V(_&YiuB!a>YXd=R#6SdA{?7A}AKn6)PV2Gx
zQfpzlrnohVQePccWRlOXP`CruNn+k1mbj!iS<EL^^cJxYQz-35Tn~5gGFP@DHI0~B
zp->l6-Z+#%1HQ1;BlnxNh$lsRySBBhpMCD<5`$jAn#<?nLi?WXR|Yw(9`Zfban1@j
zXCNiDW=+X6XIjVuQMRi+4Wy(>b@D!BaK1?np;hIv@b5L0?Y@83T6yfVU*L<!_|p9F
zFa%6J$mH)##Bb64ZoFN;So}gj`LOb#!yJ7gzdd}F^Z2d-3OwG;1J>UIlo!UlH$Hug
z*ZJJ-%cA0QHz9d%Jl3{j*H`CuH%CtO*Md)-dKvv@;99Kv3Jz4zuPx?(J_fuFb-X=X
z2%7(px*5dZN-fPiW2-&xjvh#A!07}!NC=+Z&+DAh0x)I^IS$7WgWtz&1uTvrzbhvo
z4+%g9Qbnrp14aW`eeP%-*bR4{D)t7%y``-%<gXTp1sI5HV>H`e?`xf8?OfFL-tDRV
z{z^^tvKsKQ)^2<)YzXbAZ%Ai=@Jweq)0w`7^ozgv<{%>g{M&!~1N_n9trT^pGo7iU
zg@Rl9t83qv#EOXncc%1{5N~cr*)02#SU`+J#+bzV3<b#J;1#Mhp{9zbR~MKM6E@=@
zR!R(_RB}l*%d}E4&okzd+>K^;m~gi*m}j$q=@gjIk#U$S5-N7n3KsHEDyEP`0RfD3
z{a@R^c2DA%L_h?<BEjCrz|bL5+6uW4RXk4F|FX#x=h?sT2kJxETx%6YcIO+iTD@dT
zz+-NGJmzVk%&=QkqIn!jl|Gpw=9?>xgkn_wj)+k@5K>|D&y+w{;0#2m7JIZfNK(MA
zU<xQ>sl-`Z7!V8Kq&9Vk-$S8ZjE#X5j>gcO)pnc$CLJ)fo?nbFnt@-_G5c%1g-;u^
z)4(tV7&CyH2}EEQ^N8^Z7;qS4Xh8kKJ&+XT7Q|g``dg)D+)li#c3+~~>-r6Ei42r!
z)@=gy`NPZUfv*^E0hlr$#2A=w3%!P=svYJ8_-HW$g{QWlb#313wr>_MvLE}j-jzL%
ze@N^5slV8#S3Wo27c8^AGxnY(Z+(}P5Yuj6dpGeGVA&6gvcPSj-#VbH{Vg5g6>Y+~
zB>>q1c40}Mo4q*EOYPljYmj-hTMLql^jwVh#6d^jptb%nnJbS;6Qx<4Ym*}c5JrtG
z%zP*rj?%ohk-K$waOL|IEEBdQDS1;m1B7Qf)0xh6rla&rzw~qXrMFPd8E8Dyncf|-
zqEr?N;Nz4J!%tdeFd^q#arsm&Bk9e_!Lm>Y4djzLRdp{4#ouU6@w6JVGINTOJx4Mz
zKUcf&kLivI0P3pcuSm7Ys@m6)b;2)4?fde{`m}Iko4+lk?z4dlK<hHi2?C^_BdJiW
z;gacAXH~OK+ckvM3hI&h)6A3FUN!~OuF-^S<B!URAp@gkBsJ?g2N|mXV}@STT16?Z
z5nr<f6+>}tVHs;zl-1NNTGN2sOUp+tKknn~=KRW40PH?A>@{b6T6~Ck0tDD(>pYta
zZVIa-u`CYIvPl*IEO>y;lax~=mg-wW;DD9!bzjp*Fe$n8nw4*WIJ%f1KvSKGKVoh6
zMj7j4T@{e;K$qqVP447>mhIJx_VqrivVIR*o9{jUdI+6*?Uyx&`g$+IL?pUi<wEco
zspx&K=4)-K)NfTk_<S&MSOMT!?@wuEj`*{3CDV@r9A^Iv7yw7S;so#XR6;JlM1OeV
zE`6&VFk09YJ1F#eR-kIkhPf0}eP=1aVXCP2B}?lMlE5IT%3u0URLzoY*4!lgnC13x
zwjeyyna*^kGkp{2Z2*nG`@28D$9v%Jt<>mDXFAgwl~u`K5x$<9YmZlZSn;%A;{1bH
zrHCM$5-^S#n;~N}MtmecWmgx`X)Y+W;xH9=9d*TiMZsr)k=0zb{<1&z-NpScNz-E`
zHZ1DY?K5;72R&+Cf+Rp2)35J~ciEK1dn#RApKy<&9$+?Q&-x`R;K*4lS@R9I=D7CQ
z+VrlQtu<8C$rQTAI%enqN>|Kn4yMkfFh$%hbQX66`1SL*|8x=nTmeV;rz5z*Ytb60
z#dV*LzNxJ+gNi`AR+6G4iN^xKFl0=%_^2}=2(<3CTGZDbB>b|d?}uajWcBlrv0g8^
zB^!foyI6g62{yH~W;y=wntZjiwl>$?RMX1+y!QsLSm6x}plKltq-6%OpcdhQ2I`)k
z2sO0NYYE1dK$-JEgo8yKa&)=Oo!7PdU)w=P`puC?`{NK|J2zIqx1Q&Fi5;_Oeos_(
z0$|}5AbUa+9jf8s(KbH4ePvKwThs0U!Sw`pf(D16!65+x1c$-h-Q6t&PjH72T!TA<
z1b24^AKYE<aB|N3e!uR$Rk!L+)l^MQ?OMB6ukNRx)w}oVc0&rcYL9cKo`2DF<RU7&
zdhr6f+dIrtJ>H{a@PEHdvQ5Z?FzRwmro5?L1hX&{(`r@nbbRzt3K!k+*dU~&vXp|x
zGJqo2-F3|~4^Tj_^~6)_f{`aONFh_73rtT8SXkM>L&CCxQ+yi>S}YZ1-tmN?q|Ivn
zST8z1Od8HyO!f}pIQ8gyMjP(UM)fc&qCRr`)&8B}R-_8ek(uf@dKBs0P1-{>r|&vF
z=Eiy6xYoPJ;yj3Icb!b0I`8W|f@e|(wh2UBY}2Z0CUW>rz_WSv=mSjKn;%39x)%G9
z=vac!QkJ)eQ{xgIYT2#JgoC1CYL3Ho@c}xp8;Z&56Lr_ZuU556kuyO$gmn8(>k@U^
zT>~}++wL2#n$0n2E9q}HWX;Q#BsIc>E>;kJ#R>O=rd;*3cG)(lycG=Z$+b4Ns6)N$
z{A!`^{zkbbUY+-qwD142kfHY2U@v`K*V+#^n(4u8IJ4)wWV#;U%X`@7IQskf)(d9&
z=Iq!s%07di4>3<p3C$lQ6#W8yvjXo`VaUuZi_~(+A4>-w^F(#Xl+>f3`!X$Qdj;1)
z^AyL<Z%zQIe*eJmH)f+vyy}S>jvC@+$yQ4K(N9H}8`_MPa6{98bbX+)NLk))$)}wO
zSj<fEzsyD1;5xBV-b`YF2$MIZYZEP`8(@lU=YgWOskOHwQdp(F!^u8jQ$rQH*t$!X
zuJ8Qb3n6kw79#h>Y=$$H{I>0I%0;_fXad8u>pLkQ<Ja4IRnYnen4hC@-}A>cZP3Cc
zm{2Ce|1>$i7)^jk4RslP9jkOOqw(#p&NCyLweT~$&=LmW*?wDw+`sj|akrhRD}ycP
zg$chjnea(LY?|=qg&j!7RTE3Fp1$%zXB(O^%3}{dm^SZ;!sI=I+f=e`EYS#QMzsjz
zv-i*y?)zZs(){U8#AQv$<Xanf10O$Tx)qMQ7SV#_2Em5-YZ4!3WYd`yVU49>y;vvp
zCdnhq2IX-*Z)~0Qb|Vv}d9i(7?-2O@Ze#9&Yn@AZ##f!uOtDef>-3RX<4~_H-)VRj
z%P^*T^eVN7(k_oS3TAVoq)Ga^KMUy0_b$m>&=o#IC-Ogsh=lJ{JWnk4b3gWzHTa-j
zzMp(_{=DVKbUC1O6w-tH>!(_HH2qgQr3#K#A4?`;;*&yB8bba`TVtJx05RZ$S9TB+
ztWG1fNK6^=!*KcU**Z&yq93Y^%~bKxz8$bM<~T_bp{8sDLdrcO@i;@~99pRew1-pN
zYH+y}B1H@%PC5*Q;P~3fA&TOfTJgKwJBTH@h(^8(rA8zJoCA7|>2PuY%`LsiQShhV
z8yb-T$w|xJ3G`##eU6M2vg$vsO`^yx{8gu4vA*-2=J=L`@;Og-&nPU0WK66cBef%u
zs2p|}V@?CbKe_O|48r!#>K=t0(BFqaTv$?1DzbO8AO0q!RSb+3#i}OA$|9|m{>*D=
z7W2CS+LKgvkc&__XqcK(bNCz61see6ZEKoflve3l_*7JzmfQOn%MA;@=2FE(H^uAw
zyG%DvTn=7%f5V;H>@c$(cxRT9ErN41D?5~vX|Qq`h*I%YUxx7BYY{^uW-|f3=W6yk
zGl-=Rs{@G#Cj<FMg}g869i<bdV$=8#9EY1KO8x#BK1%8Uy1p@KHH_|nh0721kU7C+
z?JIg|(#ATU7Up6}p=<mk2|v36yx!}!hV2dTka%-B<Dg+NrMvyck8kFgGi_G`n984-
zA|mc-oe_}!$AZ7O?$PlRKzI(6kTY@t*gMUsJ@Ll$h%TChY_)m5I_P+$*zj@T_4EsO
zyG{bpuMVn-O2RZPJbQvCV+wTXci990_NcfB^f68D<>tD>WxasLpL$2CThSAH-n1q|
z_N2Oe^l_B=(!S?t8VcpTt)A*O;4M#eSbZy2ZAY9VRyPk9bmcWfB^5%Ei`e1-FIXS8
z8w0mX!pJ;rhKP9m6G7ea5mK^~$l3RFXvlM^N*M$gankOlqlO}yE~pZS!X%$@*yJr&
zFpk(vhnxVJsxY8N6%y%F*U@<7<yc1r2J`H9&vH}ChjY0d@4QfpO%e@dAyix+mV?4F
z6#`}NA5O!&rkWJ4E?4c=Fm!0-s2C7PlZ|)a{o~QFP`+~Ie~4sX!>LSiSF3eco_l?Z
zbGoFxg;@K@+}^xkyuW>S3w=^H74c+UzZN3?V|W^{Wu0lZ&vS@6HU~@##c;<aP)qWe
zY4NIbwMM5C{HQ=tPm43PohqQ0_8~a_HMa)sYx1cZeiHk@ULl(@kV{4~E<?x<w%|rb
z?6380GVLciN}Ar;k3CP5?``tKda8+n+Kj!C7DkbNI=@4<*}n4;(}^#<26<HcDVBL5
z8!2sTFWU*Hn{Ft9oVU3v`5A7n=(Y1G=n^{OOWt34M$Bl+*a->R9Ov+{F-K1q2&W;v
zj|R*u`Dww<Q+2mS7#^iGSNyCi6`HIa@4&iOYCxZc_)<m<idLmt_<Tzv)N<M5$ltub
z?@yR&r-vhqhPgjZy&-kdX!hI-i#EOWi6Z9>?$)PzBZ={wEwG`}j%e&>V`gd<oY%gg
zOQ1-PG0^BWmE#n(kgL3Z#$IgtJC=Glj8J5F!qBeBWl=t6I>3iBw0_x;lE7q*4+s?R
zlt+zE)p4j%WGVm=rqYp}6oD|@u@@ax&b=9?xN4VaTEIkrENNo#lwU+#&{Vt?g`TKb
z5zLOD>&&~ara_6V-qkIyEHy_M>zya>OpnvJe~4r5IT65DaQQgQh0JcT3wh+2T=BeV
zU)7{^&FmgLEK?_p557bls{v&U%IJ2(J9_=*D=*v^iYm~yg<-zahN*8d_II&KbB`BL
zSmYyX-rE28$V&pp0ry##{x^iuo4n{DNSKUxJofr8@?TzuG0bm4HLoQVg&|I8FZFnT
zFVV<F-Al;Ks+RTRQjzyQ3hA3BZkDk^>7thgd?`&7p|`kFXDslP7!zxk{&_zI3|ngg
zK6cuyHHehhP{7|N*J?ZYsTEYDQJ$CYz9spUb8-n*zMk*NtqiYiROn(BcFAb9$Iq|i
z7H^(Fk0@%%zhNbE8HMHb5H!c-<^Mrav1xfDF;q!)XMex837)msQd{JZ3Sh3bT#7`7
z7P}r&Wb4D*Co^C;Wy{gS7|9WQiFEix;N*yJ<+L^Qp791z2NNb0*TmK|MU_EeJG>G0
zoC)tc_9H_3y&F52AIp+m_iO1WS|_kfd36&(2W#NR7V1s{QEpM-hRQ(e#1*$|K|sq<
z&e0{38aRYTU#<_AOpE<n>J*IG_LHo?A=k=}Ur{jg?(LuV-Ic_>lHI87y7$gYz+pru
z^opQG8ia}dsu`Gh|Gd=I$Z;NrGL@xf))nPtH@Tww*c;F2q9i=|9c=*zrD}r2a^Ywj
z;)1&_way~;8CgRQ)F{$K8$B<|@u-zEFS^ag{{e)2lUhHatg$}y2%7`iV<E)-lk69L
z<pCvG+hOb@;E#6EGSl#9TQOHUsRD&PC1}xYI+IT{Gc6xuWSfs<8MWB;A-OR2ID2-v
z8;H)^;P!*xvWVz66Um<x6){>B>6fd0i$tKf_IWBl{>j-0OI)}CjqlmZuU2h+$Ey1c
zzr(H{WpbwcMJ=R0&>ztG*@28v1o+kPdmk#5sCI=_LY2UzD`Kn)yyT1mie6etU$Vxf
zxMy^60iR&I$}Zt^NeFotT_+#I`#E7&z~+^K9M0><U%9nGx%r<w--_M~60atv2B9G0
zie?*P?l?dGx>{sdc2b{Caze{(dKL#;^KorsgnK~f;OlO$aaIi?iaVJf4&ER}FFJ7J
zUp$GtzS^T&_G8t3Xg9FhjPoUzUDj)AbJf37|L>L+YS&hhc3n1i*M854H|rQT#-5C-
ze9DrM;KPFOM`C)W{n4sbEATRUNh96T$Y*+e{le+cY228EfDKji_>N$p#@ghQT}9K?
zmAUGVd{jx?bxBv-3aT;<%{hD?|IYBUI#{%<-rLUwg(-AC6Z`!v0%+C;VYhnRgU#t|
zBHEeNO@dn67seodED77T=_*;}2^0`Q_<Kn__vxzAUWo57XSTRBD%nU&9pdq!=teby
z|Cx_%fbQ<98M@H{L2VEn3X;WFsRpeRWc`rawhMZiJ5li}1^BVn0=MhDQ5arv2}7Bl
zAfiy?$8$Y5&HXkbkwkV~w>!v_o&PunTe;P_8M>5BW)2GbD#>hI44G`^N0Ydraaen2
z&J@F8k`nP_+ZApvn|EM&0W~EbfAM{|o&S($Xq}B6&0{y{=BkwN*%&jui^KPJicu9a
zDFYm3>4N#iU8R>(d^Iii#3#-I7oxTQfPG$E`)Tc<!@<U4xWRCJ6Hk`ZzFpe(`u3IF
zEzle$n>$<XnP+VB_n~%CR_#c_%tYO;z%w|KVO3<};Zt8z)+mO%yCVTi>z8y=^Z3Z&
z{(wd$lh01TUy6iUBmG(O2u)Oqw3e0dOf>IyrL{CqzE|Mtf9G<q{SeI+Z!6^wLe%jH
zv(skHsT8SDUErAxKgic%UR?wPS?Pnd5CG(coLA+ux_Z8_CMJ3pWj~BzB24<UIY$9I
zE!CmCijl3OZ@3^SKChD-Ofk!b>0&TZjNE?z>I)z9JsZtjqPYbxY2?$2!^g1-P|RnF
zoFXwFS(cry_dV&53S0r_b;WGH-w7LYr|18hfd7*+2^_JVH1m9$q0~9D+Q$<?bhFi=
zK6Hnk|G8?f2an!{EE4ydLmtZ$t!vSNFF#78t4U_Gj3<hQpw0VDkQ4DRrCC``!kzFG
z&GF{~3wF8#v0X$EkC%WP8uh*Q2%a(<{c7Q=0RnfB#xe}Il}wR{bTVZL#*lc^1f-Ds
z83AV`M@EFI-lMFo<a8IyDH>vIcWFYN@5akBZ}}Zx=BVxG7jdc<@L#Jq1f0dgU1-M0
zzw&;F;Lsak4V227$$VADVLK9O?0YQ_eAHgXDCJ0H1a4CT+sGl6+-+BM0FZ4tZ5u0B
z794|i5%P57%m`5>%D01?mGxZ7?@q^n5`#;JbAD0*+28!kwuR+c>3w%P9aAdo82{N0
z|9w6nvFP94>3fWLV+gC;k{P=2Qs7nL54`ODx!Sp*5Xyzs(UzaEUvb{l3kxop8<fIQ
zGB?=zqMM=z8-Z$7@q~M~X49~eQIyx+Vk?r_>*kJ`ZI*$A;EImI39D+vM=J&Vu4J4@
z_HNFlmKG^ll^SM9fVhvw!k2l*rlA4|?+F`h?Z59!3PQNl{~6#|l(u>$6wReEK75Y@
z$Sg~Og+pR&6r~%+DD%&8scMbrQ1$7lGKG|~6N>_H51w$2wrN(mpyy)exyaUo@s7J=
z-7fZT`ewV;D_snrXY$rxyb|*h#fyqJW-hVv^)JUwgr{{7R)Y7;o`(=>h}>P~*fWg6
zz4|)*jWP*bqx@_OhHY~DFA09(Om8ldp3fGmO&>M{?J-8(Y4eTrWuCn%(p%^&JH2`w
z$RsgUv+pa{Z}idn=DVLX$-N@Dj)@o=eC-nELSmo3iE_hdhU;3*c7BrFw_y7YLwuE{
z&xTA-XI&4cz=#0wQ213CZgrroX-|do0FW$&jr~ZcNQ_K9c5GlU4SZ@Vzmd|!l$}-S
zBGMzb7ZA77ckT+t$^M)=!FOcWs4Cs)QCIX1F2<a$DnSgvO~g&In(Vzg!@{L`qQANZ
zqY#*BgPZwdMG36_61?Eu5rGN3W$}}frAUu-N(Ge%5?x@w#;nNznGA=!qNRwzh%Gw7
zD&Bq-u>b53K&=s12h3Zlw?UjPA4LOa-WpEwaFXw?=Ip+`d;6$Rgvl_c`z@}JI$O5T
zbk?IKQP$jj;61|M)q($V88X=zhcr3lo1LGKo12X!)b6KH;fFW2R^8-2+V(z(2joW?
zuK5*zT~a9QLpxn6*8N7J=pMcRR!0>A90!bTsNy8Bb65_@i+jy1r@(l>#Gd(Ea1d-g
z+e36VKUT&Qed$!+NC^onzjL+(oi~G|Y5+4$sOdGm%Fr(F0gofnt&Q?@fWCK6g6?Ag
zwjIC+XOz}w^o!hGFEUWMLxFDuLtpo@%I|K~fWY87J>KmcI)r{Knc8&r;^|a6SSia6
zAY<%Z;JfX3C#80=(jq1!2RMn&C(C@ds+OuNE)7?UsQCz@PlqrRoAQ*GK2zFLqvz{}
z&z#?sHG)yu#s;fY_{oRi{MAu0qBYX_b_7bl8xQtml%0CF&Mj2ldoy3Ql))z@GJD>j
zt?^H;qnt<oGOxKb0+YJKv+;lZ>Z<qVckSL||BXW|9AGn8kvsj9h*8X~?<9#HXJS-c
zo&GG=BdVrRw%IJ-PgvRK^6NRzK%C=xE(w`g?5X0vu-cm@j(z1jc{eWu$^NZ>dhzR*
zrKu1H->+N)0MEOlZ5e02&~DW0lcXp85rjNu?WZzSz|2(C!-|-<?B1);19(W0cFV05
z7zq^}tGf58^s5k)ht9-V3M9}u?Te$jrUM0a<LMI%(N_%z>is2{Dd3tV22A1B3D7K8
z^Qi3lQGYQN_u{yD@kDDk+i^zkq#dGLp&W(rahbRgu{VoKocIE7Hr9GRed!T|F+5Eg
zf`7+Iv24~AWo`f~rLe7|&mLWRP<>`M!w);~NlU3tV<Ip$)>;G*+&D#RF-=)YP(Rtx
zyNRcGwbJ*IM8hHURb<+MztIdeWzjz3QQtc?XmT$U_Oo(_fEuCz!Kc_p?NyDHe(|Zh
zQuU0aF5i4yhR1c79Wl(z;j0cv(s@U2zpfIwyaH{)G7kpOU!#Qx)L$mU5TI*4J^-M4
ztWomP9Q#d2q+oB7$)@$I(V1bpUGd2=eBvzA*Ka4$&`Vu3+vK5~V(A-ki6slSyZk*Y
z;TIyGm1D%Ah%q4u$c?lTfj2*4#WAr2ywcMo_@Au)-|lj!Id<K4E$DsBoOs<u{)8pm
z1S910e!~`#WJL2gNiIsRMj?Mzzi5^?*DFCf`P~Xw=93&8h~T95RV3_EFyqzFw(Lf|
zVSaTRj@F4gDxAR^G7;I5-#kE3X@nzn)YYvXNSl*q%UN5S%yQ_09>mcivdf26cfvmi
zAmAbMYUPZ)Iyy?jXr2pE#d!(Z+xSfsY`zrj%1s*fHz%v<<ku$$yEGX0LF%y3taQ49
zWry}_4CM|Ll>GVinO!q@B=om9vl7*3Rsp7JbI_Ccv>DlEn~Ep0U`Zg2b+ffY0A!K!
z40d@qNPi*C%Hm8tY1%z7$B2cqm#hjy9##fy$k!wU{&vmIH9x~FM1|u&(r!BR%RTyo
zbl(SzLC*GoCs@vQ2Pc0e>2v;Gyv<Ek>os$H0-VWW?&~Z8m>+3gfHFO^K{G9~7Jyw8
ze*RUenpxw)W@b7N(y}Nr@djv&Tg2Sg2um;kHt{RdsB|LF`fpzArTE7=pX!1I06p0k
z*4>4}s9qQ@T93}NPhm<zOUKKxEZ&F){M>^WkSJ*@x199k<rLGD&g?Is+{s_TQ621%
zE#@*K(Rlp~j9>p*w!5P~YYAg&5Z_RBQ5go;BQ&Nd0msel6T1M$o<d<Qm3ESz^RE1m
zQetdBE#_EdOaRNboz8}_uGB(`{YBJ2!GYu(HXGWWCuSjyzJ&Prp0w*qkqDsIqsNzJ
zj+`OCah0tf+=w#-k0AgQfxc$zKHkQM5Ihy?qv7WsvQ#{9k8z|cXbHBi``MsH=a_{c
z@a7Y9y9%Q;eLM*@Ks6g)bkj?1@_wO7={U={?f~fJPvj^}=I#9Jeec|2Dxoto8cMs}
zmtcpXIka_05Fv--NR{d9Z;lcZ1m00v&Kstz=SB?hlds^np+#hLJoMA0<R-dY+0=XM
z{xmZ(I`Fw^WN-Yvr{_*T9_J}(NlZ~C>0EhkRH9=QJ<rpGO(v5Z%K8ciML1w}JOBGA
z{NG5?Mt!$(-4=S>D*pQv)A#1X!%20ZT0L$v9RGIa?xF}LEHk;|c^V~I3HE+TfZ~h@
z`Td?musM3z!~lma)<-<~(^|fhIfjQaLWPCe<FhKSEuH1RA_8GBB<{L0ipZzE;PGu%
z){dsbD%3Vn`tzGbLNA5fB;gg};KCDIemE{7Q>@)>;#w8uG3E=Ybu;^>GP)w{Ee{29
zki+QDEG)aJVw!DET}Jt`TTS4du=6Yu;l&CT9>P^-(z^{)?w4eT`XA{5A0J5aem9+!
zAg)&Os{*tIMh#aMc`<`D`Aw1E{QAq!5-q5Qh(x(TkH;yx3+=7Gxr3lp7;n%*WcS_4
zD3|6!X@<!t53p@Y{F0!vaEmte+0<b9JpA?<yz<!nNp;1K<XONBUmK{PQ9JLde3Hbe
z9-AY9HL+0hTVW$c)6l#&3?F3pVK3@XHcF?VSXK)ik9hL6h138%zN`_Yek3*eZnw0x
z5<X{?EF80OKkJPa7Sq>*k&&VIqsQwHULz?S&HT;P{LLK4YU?9IDNZ9oX4^yGZx60L
zGARUdj7v6Ouj+!9PSvWEAwzgDZvX(m7;K5~y+)a>(kd?>U$J~KkX+}o3)!f6z5+{~
z0HygSA;c>y4l$35QZ6A}7DPH*(xQaJ(tVwg24AMD&Y^l4<HbMideoU(KJUVl&LEz8
zR*xq=3ZK?!wgia<(4b3~Q4<GqG&I2k#h2xx(J3GYC6^bzuHsMC?{+`R6$FavtDryp
zie)c8t9F>RfLu#Air5o{rj42}-*YJ{3n7iPcBDuvnw1XTh<{=%>GXfQ3!Cc9>;|jQ
zIJuf@5#@6ASM+64l)WQ4Gu`jHl&yZBwC3YiA5uPKZPpGU4o_kj7gT~86ET;<wG^jv
z)+r_gXXEzxv4K}#He7qUP=X=%v4vH$=bw3}{3{h3$VRXJ@>{RMrs>9QIr_ZaZ$_ob
z{^UJJF-y8Q9}|xddRk;mV-{HPV5ML15NR@+ckzs=i+x9cjRgx;WQ4Y#ALx#zEamCd
zbQ}>W>2yNu^p;gy&!AGb9?6?YF*O2L**n2TT8Td3=11Xm%U=fsUw8d7s{`=GsWOr2
z+)h7h+Ze@1Cnu9GvOS)a3^jxXoXa+>+<t$~8T7zOJ-Dn2!ORCK|16Afof@vuz?B&P
zl`6HRrzApOz&G?hV!dByNu(=kaiVhBkzH!stW&Bd@PUtuQ4%(-D43JhMoo#`VnWJr
zT}rHzjoy=qYBZv5|7;UJ_Oi35cXG?PsR?11z;`zncRt0516!@(I>U!X(%1^jzafw$
ze0KZbEsF~rf#)f7#aAJI`W3u1%Pj=j=o>?aY&g*h@#OBLe^1yAAN4kYUClKd%eBEM
z(cefFp;L)wh@WJcsO>_fp4Gb!QD}<h&)od{*Wdc;`wG`<N(j|c$UZP@Nxw6Ben4gO
zH)=Tf=f<VY<Fo@Cl5B#;>Lbtja8m4Od59b>C9#hVx5MRUUe{zuioF24)C>X&tclob
zVLo1~>bPd(PARh=Q6NRed+~*3TfPdpW_q+7v&PW|b^8AO&v&V57dA*;W}}2O!_|ra
zh>9d1j1CDFU#%aPfulgcM_K#Vb~@E<vUP(bUQ?@_#znGoD0=*EKhnZe4%R=z|H5AH
z%?jaUm3CY8*gd|)iJ8U+`hCd?vi|U{F?ks5CWLzHDsMoWm0;?fxn!llD3rxD8_^V%
z?EA_pU2DSxuD51lnzqB)(RR+g?);=e$kxW_jBmcMcp911Xj$h~Fw}kkcnwcazLz}g
z4v}<`x0}j(*s38NuZe(h95ddC<!K*hRF%JPEXfDH#vc7tYAn#o=8RTS(?m^J!I-kz
z9$`B8m2uWOo<M^bkwMN)xWLltosLdsv1$SFPgzFL(kczQaR#AZ2E&gVH%M2%Yn(9l
zQqt@u#uDZPHa(dd`_t|hI@@g8JltPvkAVnNuN*CY6~6s=8rkn!8PkMZP~faGO`vAg
zeQYE8UfY0L1w!?`Vvk`#xjeg6KZx^&y-n+sz}I!D@<AYl+B;m&jEWUGvGek?Qe!f@
z!_UPV2j`Ijh!=Ode9Y)f8{UX7hy1i@MF?)_;Y~_^I!}m^PlFYwtIqHPOs@xJ%a?aj
z$WU$gV@wVq8%an?a@m#%J<QFjOQjaF`EFQGm93UYDdg*g#R-hOirz)b>bZ?AZI~F(
z?J!!pWGT15h*TVvl~E~@)=^aJC}&~adu?u#qu~K36+lkSQH~IhaEy3n!)qYPORItN
z?Y++PnIs;>B-3e1_l!zs2f;3ao;RhmEDo4IZ9V6XL~56mNi0{JAl3X;dgL}Pos~9q
zYjLwFDPL8G7KMPrC`8lDOpf3XVQS5YPKCu?mjP+k5fV5ota$CvYLfC{MDD9mb%m5t
zrRk(gQ~JEMwbK3e0Xs5YhQ1*FHm#1u<U=)^g3f2igZE%?^re_3$NjU@ALrOne^j*C
z@Z(~)Z&9kcyYVF81$x8wrWA*L+{=%Nvq>0G0efqXMBXQ+)XvTiTYreCNz->HYq;LP
z4${wM4;fcqZn2)YQBqP|-FX#ZJD-)XPRSg%IIwyAk=UyTPatL9gxlDO3^Ll$dE%Z5
zvG67D-ue!|muP0D$6ueyjC}O7w&jKcl82kAJ2k$5&M;{d-3(kzmHwTx*JE5A7-oo~
zrHeI23j#$C4ed%-5MHu;uw~0&B}K<Ofn-7(qCr2Y#w<N{E$&okBr+yNVhg-RDJUTC
z%Lx)6tqQekuB<hYHqRmS0?STz9wdj7`R$sJGA@hNWRR?9o;(CMMQ%Dvc{=IAo@{Ve
zZZE_wQn`Zw>YJv4;hTbTP4H<K5B0m64ta*AiwF$&`O5R${dmgZT|Lg}ZPtL4qObAi
zL=vc_vb~K%bsVH!oJo)3i@2O0N6hlG2VJ+{M(9Rpcz+ESJJ2|)!umS~0+<w>{^ET)
z<|^4YGFVl&fovkiq7?UXMh)di8Ay!V4pEP~<Q(w&O|D4aeqvMZHgo(DTWL`5jV%}X
zx;J8XXi6~~kLGJnt`S*}k@Xjw+Wwm;i!CE>uxU&|wo=9TwE!|(K~gPVDO-j+hpM_P
z(eqb5WxCv<(1Q>^@8sg5NjAMKTv)Let?gh9XR>WS>=Zs73%8ZWXe2Po1>i1dwua{q
z@qTYK5f6}F6N>6Y=1HHIUm8D-J<6pep&HBBo<pdsTd$<;8(`MTMd7HHa$;wU^UFE9
zH^D_8O%4vr#Lt7K)D%8t#!^%c{{E3mH_Flfd8UWs-6=tIW|D=mK#Bqd<9=uy`tA5+
z0D4y+1=4I7omLoJmvO$OtkS7EWY~u3-RHFQtjON&4|6-5&ZFl;a|udBt342drQU^9
zV}txh+UqvH(fK9BB2&XGLJEpkFS8ly+k5i;54G^#UH2;{VwKur*x+GNxfDyhGlH2Z
z?&p9O#-^e)4i)$4WR_bP8>9LfOvv(JxSV0PEjSCNHOBGh^Nu?3FcuDJ7g{c;O<nCo
zXX!a;PIiZCO?%lbU%&A<pzg9rGQ_?rj22sEVFfX1F8)@24h~C6Ag27H8fBYJpe_}V
z!|*9hg$|){uXnSM?)~Ng^}Ewfda~Ign#N(EcYbKXuH}(Q{aO0?IMpA~Yl0g1FH-}y
z5A2+sRq%UD%YF8&yu}#qQH9%gsg*+*<J#12Uw6RTiW_P#Z`sCHG`tHhuCmTJjOFJh
zmh!yyF|q7HNz$CJ3I8lNr-H?Y>w>Pgv)5W5r*=KhcU`@d#K&LlK|*9Y%b`e_5~;N#
z&XGQ7Y|4*08%4RjIb2o6o!+lG9yw!iQ@CWb-x4#Q+%(S6n~KGkcpo9PDzMA7Rzd$K
zX!zGD+dW7a<?<h?{}@cF;1PH)RivUMHF2Y!O}v5Yqgia8^V&Q|TeXp>a4$3jX#3TF
zrZ1F@>)55sPOdzhT@yH2#<v%didj`9Q=Q=xRheSXxI(KvN%+809crKVnZzQ)o)M#R
zy{+=}Jz=hnlg+TANsP&xOpr@ZeP>(4o9pRv<S$k$pbIYf4-#=Ll0CuI>|Tm4Kk=jX
zcTz4IFStnu*-6vJB@A-Hdfd=DS*8PI!#RW68NS+fsjiowb9<1VOD-;R-M<$5WB-8s
z9|Z-Hg0Z&y7Ef(5d9gx-^-YS!=A|mCMXw9B(N#|2R7-%k;Fun0m3%W6T)NyE@EKQ#
zeHR!foW%U86rE)9@?Z*7mD!L}uJ57#-l7W8EFEk#ncw|pLre&tu4H?VXNecp=BTn+
ziM!CHemFE@+$v=$rWii~$kU@5xkmj?Vp(U+CJEAio?HI*Yh;P4Y}Iv5;P{|hS{BSd
zB5Ibth$t9aQ(AP-oFLuAZhL9bSX`;3x{)BV6<$$nr&^?`8YCjBzty}<gG{bfT!?sS
z4aQV<DtMBMicdkxwO{5GEI}q()?Mf~;<4hKzdXa#^f;1bJRbHF+7nK;W{ur@1+raL
zpEOz6Wg$h3%p8v`pQj7{v*3W5B3}2F*8Z1U6R~ROu-+486<W3&l#r+j0^v%E$@{Lm
z#@La`^Ew@_*sk+Qu17q47mj0On<?=}^hqD>gIJOrx<&&J3#NnlqFg=<gm|~%_Jnci
z6wobFdbi|yT}eubAiX#*fao=13}adgSg9yCmUWrn+U2K;szpvQvamv)q3RXf?Mo;{
z3A7*i^6>kwWMSLc^`;GvkrP?=#>L!N7U>58s(Ev?o*bO9?IuY&+?cwNJC_ATx7cJ_
zRaX{jbi`nMR^6#eqh3x<&Ri$R$nM$JVAJJ{mdo?wwH0I}qv?9Z3zC!Zw;<WWG#dgd
zOG}SE*h7)aNSwf8bMMaCVDdukupSSzQdqFWa#?l9&naEeF++W)`dj!X>bTgUkFD(R
zvK@S<*!{2G#SOU{M@pG;yG|41j|-OG3PFf4kT6O4a^Vm$%%_W0Jx@9ir)Osi&LN}w
zH>VqXz7GvoN6RH;TJ<C1S}=dK!99yTq)l4i#I8H;-dOBNGZu_3aMz})Z=-%m03Y*O
zH3n6R)-PRx=U^!VdQ5KdVvW{RGGUN?YRkO5A(PP|wW3*o@bm3x(_!6Wjl)LI(AnCW
z!Qouxht}3sK8N+-L>3*sLm%BnM;+0zPmBP4gLe{58_~E;-nVzgexG3d#e?>V{9U_T
z&?Cf6P4~l!X&Hc9#TC+A3N$EWWeE=yXcRQGDZ45%O@fc3eqg~8A5Lx2o0Bd~d=~I8
zgCK63g<Nbpxt)vMNzHoO<x(Pqzb7?Tv~2|)OgcLZI@EOWy4J1eHx>Rnm=2=?^F3;s
z<>loRt-mh>Fp)U%RbK{A7ht#b&=xZ!_{cVJXdwo`f+*ala=UH}GC7(1@1eK59N|CS
zfqth_xvYp5W|9x$=K#Od3FBJf{kx<8nL#q~VB)3u{JWxx{`<0w`Gwh!(`t>Ds$reI
z6mOIDC0@lunM;eP7pYt<IgJ)+v+U2CWvQyEseM?yzAQ7B-~i}%G(5VNTLBhOXSo1}
zU-pT9sSgdCxfmLXZP1ih@$|U(3}N<qGTo*Y24h3t1PpkfIB-0?H#i|sPkR+}h$l3{
zM}Zb75)>5VdA;m*`5Rk)r?QvK%AK6tZwT5)WFd%sO_;kv+hEKJa2W89$o~7=dCN^6
z7WKJlsdb}Jk9dyMh)U>8DU(SMNpR$?cA-IPRu5H;(PYCO8e(`EzS-?~Ce5y`$Y!x_
z_ZE_sHSW8>?g2kG-%t)?&Z9jGs3C^VV0%E8=d$pb)`EpLxlss;BSkq%^Rw<W3XSVL
zTbkS({%lCFhYPhblF=mNKVyW7@%6kFGa<um;(rze@NOO1^k@h^X87xdX$>k5$x@R`
z$<@L9<Vi!&KUZj0togGY0lhc-{t`Uvqw?I%OF}~YW6}QN#cM1*_g9CLYh9t!i;E@A
zM@=#nZFiQ#d|GwZ;|sM`X%iy<4C7R==6})|f*PA!S;>9~27&A|0s{U8M1cNZY%_Jf
zEBTCS<%~$0%P4?k!T&@g4n{Knx^@?Ik><4~gzRPaOy~PUM$`Hj+FJNOW4BX&{0DFV
z&TRicEFe4R4-bZ3LK^vpP(sO({yz{15JCJWOalOX1b-+TG?USRg!IqMFeLu>LzXsA
zqkp3|>U;+1S4LErXioxaP+trR{l%d231>Ns%4(~@=zj$C@BYft^XKRP>wW+4r_uzu
z$0rl?RH2j4oI)h`&gL*1DO4)j3BlJLyE<HiG}8mvtp3jks<r$PU_STzcd)MSt%(m5
z<oNuaTFP~r^R;Xn#j~CtAeT2AF;<IpHkwt&QYC4~0O%<N;AdU0>!Sqf$6a~937_lb
z*#!g`5jZl>oi{oS_CHP<qlkI-#(sQ2KeStc>r~VA5XWcH9vettyi6JO&Ohn^v>V#*
zjJ+Y{wHGM?mQ4g<3Kh1s31tZT>GsBu&z^4d*18?*+AKHKP7lBG|FYEJ@WJn4gWP3Q
z@Y?)*dw6euf3ntU_Tp;M&g%MT*>k_F-g&hh#)B+F5x^v8Hj+MW=X*|kd39xJZCyG&
z4C7CzQE3>`cHMeB%|uQ>VD7GWPKNdL01=+un=avEWBYa+fev7jxL$IK!GOX&RCd!u
zOiWCx-e}T0==_SAwd%}wC-Rsr-vBs|>K1J$PfqNIYfCiC_KFHJC&IAlUc%FG8c%(G
z0DuiOL0TM&8k)_nWxxvEGM*LppVP9i{)CNNiCP!XWdASv`_yaUd*3Zay%fb*WB}@T
z7pAZ_Hiq=X7j)tpi%D9YW>?t)`7B$}L4f|Yz$oKGmxP;JecNf2-KW@*EMZ~rFsy(6
z9LNv!bXnoIn*@5uYierJTqXgiV{NwvVgdNX-Q3)^@c?+u6i6>Bl8K!u)tFqL0f=lo
zoyPc?KR-R*jmP-rvU;zfmf2zehNK&{XZ9;V<uXYu7Pn_xFVG*^+X2yH1PldW3O^_u
zw?I2yw4BSeeS}l58Q7}wy>15gYnGI#RqR#xJ(i4Q@E05|*6$DMJvo-7Ap+3plLqhl
z<$ZHleNQ768lB8a(%=BqSL2f87PI9#DJJ_fWs`%fpi(GD<EmkW`m%YIbY2c5(@Sp4
zQDao-o=Hayz@!P)BIxnZF0QwSzz5n4V>SkA0C;sM0MqRRHQn*PzOTA|k1kI>2>RoT
zZ9dI26?zq1Rx^e5^=ed9RDA9y+0kTz#iabMJ5f9<V^G#m&?@|LryL3-PF~(ZH?WVI
zyufKNnb$!jkOvuHda#{lH?uogfcq+dMW-nj^svQx2i0!bHP}xN5rf2hhdcu?CVkv`
zo%wVUD!h|omifaC(ZB9wh-1{4tU{+5=yi4QothNtiWRL_shOU8MHa_)D|GZQ{;tp=
zU5{7Fc);GuP#2m!9~B1g(ZYx*yJr?aGdY5{n{jvZqrUmd1#-L7YI-&<)c}3X;^|@p
zL_`;8;MqqMz7c&<pwnJ6__3UNcdAGk-9{1~YKfv)ub}9g6ixCzN0Qt}g|+P_M<52&
z0WcTVd)!l_k@CA=1Zyt61|(-f(KsqH@>6WvMII||Ikw-Am3q6ZI_vp&da`i-`C5&R
zdATPGvq(?{CDZ&TJajd10~TiTWRj@aKk)l^8$li5Zp5uk`DW?l<d=km#KqVL%%X}4
zc{n(@^Cdojc{%9$@i=zs<T4Wa_G>%S@8$5A7s<#xKC-r6yk4X57e59+Kh+~3Ak<jT
zR}Gz=o;tLibV6eV)Q0xU%!vS;FN_&<)6I&KMNC361zqAy-#d$C=vtjGvH_BRK)WyQ
zIc42z4}+#hG6hRsCK;P+=d-Vce&_@RnOR*gStt(1Q)j$)qSe52Q`P|awvzchoZi~v
zLHC$#KKITyCk9YZ*eh>7VjzjL8cbw{I;jn+CL(~t>0pkXRKQ(ff3{+_z1=^NRj)h(
zpViXb{F7RR?(~ae8udm4d9VS1Y^qi$0e!JBGWXR0>bE3>gyUml-xw0YU!)a0X@~nG
zP8^;5-pN{5ib;W7#sFI8ClMt5$_D$jz+8Lp(8v30{BjO9HWBEbit{ZV)h{*&rLywJ
zpy#%po}L=-TgPQ6sNQY!fQsy(>*&l5Wn$*vWz)EK59X`yAi~c@P+piIO;e`bsHAtl
zFnh5XCr@i6!PBX3bx2Z!`)|x_$4UGD9g_YVU9X;Ljc#10ZhaVEWRMb<`&cffANaoj
DB&Zrs

diff --git a/devel/_images/univariate_univariate_volatility_forecasting_26_0.png b/devel/_images/univariate_univariate_volatility_forecasting_26_0.png
index 37d0a2435e72f87418c4330f63091174b256bf25..b3f9bf0fe60d976d45236a56898037e49f164d3e 100644
GIT binary patch
literal 70908
zcmbTec|4SF8$LWzltK$7LPd)ZD%qDdvXtG}iDb{7-Dp*^l)bX=1~bT#T?<0lha!}n
ziODjC!T6oGdY<R~y??xaynVjQe43g2zV7R~&htFZ<2bH)rg>ADnTeALg+ei_T)(P~
zLhWEfq3CEk8Q^bb?>*p!|4DgVGw{%HzT@F_%gq{f<CceuqqB#jo#oMc)^6^0&UeqB
zl{$M)=%}rShl{(kh=|jFKXBIB%|_(dP5SR}kzFp=4c$>F)?3KGbU6yyb|^X&O6BS$
zUGIe7gI@8sJzs5Zv`fY0NqcGVxJ0L<&@(aZ-g9doeU8viOGVwiCZi1KF`FNZeL@eI
zwv9Z^3EE|<yO)h_7yWfkhV2Y=`)<1hPwUP<A}uOE#?9c`QY-U@@kGuX`IwuOF9}kU
zI+TqXVXM%6FcRdCdXOoR`|nFsq08RW+y1_e7u|O4-`^fkO4<4MrNxJxY%o;hk2=Tw
z<9}ZT?c&qi{`aNmt?eOyU!hKhD*n4e{i7WYHS{`!?(;{7@nkbp{gPp9&(KiL+#KCu
z9bye#(Ddj#hLj-}6M9W&M`L>jhlGX2Lyjr7p^`7?a|Dm{p?bK&9Z)mOP2woBWo6Sj
zqon^IL)iD<=PI-)@Ul4Tog_F+aj4-!-FfOXz_k5f!>`@Qz=M3Uarn>O(;1P?ffaXg
zy;a*Rp6qyd>%{&WAr1RWhuF6s?qEzMGaGz{O08sLY3k`JzItC#F;b5>xJ}eaDQQw5
zhEvzvJdS_gnXRc54W7BEseW>e9X{G$c{TRhi=91Dn%6_FTK3me=``O~_&1O4IcI~5
zVOV`%1$dl~s&Ai(wl)lDI^Z^#AlqI*p4+-}p>2<KiouckNN0BjO?=2hLypR=nXmtm
z+p6fglkiM2V3Z`e^-=eNHv0c8;Q43&TZ?_C)5g+yHzW#-DKkbSrRL??fs(s}dE`uy
zL^RR#)r-evb&InUuB~eb?RjrRLfz4jPV6o1qv@6p2j-c1|KfEsMGFfT7!_G&vPk}n
z@ohD}*@e~1bEtXqcFug0EF76(PFtXIlA3>1&NmXt<02TdWZKeZ_JNz;Y6V`5TUYMc
zwXH!qM)d?al{K-TZe!N2z^o?NY?C@l=;_I?tu=ERT7QSDr3M?7+IwD0S^3^h!xw*7
zXQptXP(rtpoO_bpqQAW3^awpSop71X_*Y7S%jZ}pF?CqO6rR1Odvnd#N3y8{!%4ly
zLvE36a+LGMPZH~$2g>xqM|B;IYyDSE=3w{c&^K~q7AH|7rI<5J4_n<fjGQiyQMI;K
zr@6*j3vd*&vGj*L+QzhF_Jfl#-2kU64i+?M^|@lvO}XW7>5&;aH>FBvc2Qem@{}Cc
zrj$2tyt(Mq^Msi-wk)Rn>qT*KqOwBe<#zeCP)@ElOIZ?$Id9vjL5>5xHzWpAk~e;H
z*8KUP(9_kGhS}&VCzf;%>C98jsa-ym(^*^|v!!)}5OzVqxvG(nR?qPmqG#u|VZtTG
zuo~QOl*ZlOFbSGItHSz=d$aulO|GTBWc!*q&n99bN!Ike1ucRM>*_I+dnz^wU2FF9
zl})X=O(OYzS06G$jX<{;9?ZH{rnZ2vahXXI&zf}2q#Q}-0%w6YrhRd#JJ~Fgh~F%g
zmhrM{j?DC3e6x8CK2#}2@q0JYK02weS$el_L*Ep$fiHFFyIET9HTCGgP?}fW+LtcM
zah34VDT%t(n7Im@he>{OB-rK3&#pd1wu<y<=-U!ftq9kAf8-LfFJPlgs!?J#X{wRL
zN@`~Wt^=8xxw*42uFKAT12Ud10@*ib*62_|XQlekm~+{+(R@v0wSn|sL9Y)S6BlnF
ze0PfW^dCQ>k>ot~PAQxy_{vq#Owhu3HAsw2lixP(L!(PatkZ!DuyS7{wug9PD=G{l
zmm)ChSJr+ncG=YpC3?|RD8rcKaM=Z0ZkPJ|m6J)#$Vgs@DKRr|z3Qm+R3_@-r477(
zxV|}Cvvj<)tZaH^bXazl!ZSxD;=2dEhBN6|{bN{Ue($tCcUW%y&y~vc1=3XWDc-)g
zT8~=(+|*Ppo21o1Q@>e_6DrwB)V3~%>KQ%8xVz?FgCd^49-Hf2xso0(IdUDjbn~g?
z4j3RkT<2lsR9Y)L(___$O=@3V#_+~mIfPxzP5D*baW|=r^~t^|5sZ(A>TvtDL#8Qp
z>*HG7e!pEq8b&JD=43n@*yD)K7(XKjhCa0jB8k)upUR<U@y?`8C$pfftfI=C2C!A6
zS{)2+QLb_<l4Mu6VRlwUdf~Ix1xd-2s=3N5$~-<L%R_#{TEm;wi}D4hlDthemo$P~
z%jl`y$+Vo^BI~aoyid6)J3l56pn(daj;$%t+bIVKDCZVyidq=khXnT|>=fi=`COb4
zzWnY%W0ctH8KriKmWn`H+-Tfg8JtMF#DZJWIVt?eMvgrsv-sqL){y%JN{7EF$7b3k
zAKhG3;LTQ8|8+88*1^1I;%fx)#TA;0NWgS!&yOGHGW*sRlS!S{ai&^K`EAlfdf&AH
zjb4$!`2#2R@7nmu*caVv<v%H-(I+$HS{%6iHqYjSraz@>ID3;u+RRows@Z=hv=d!N
z-LWy}RYypVxZ6d?Sgjov7A8&1XN^8XZV}x7oJOPAkPDm>@ioi+%EPqfOm>CjJRCLk
zY~8vH6}B<Xt9H>trK>TFbp~Rf0H({_^xk*&kOs@h3`+H+dZN#Soenh+LQZVsPq0E~
zS7s}}%I2~&Z*P<Q^1i{qHK)prWn<4TV)z(-@rxIy(RG!V)MAASylHRSX*YOR>R-Wj
zQd=r;Ha(*vJ(IJbI3F(-T>QJgR1IxPc0aM7IWnWXW|rF*9t#I)#U2WGP-rvy@bU@w
z84an0^>r1blqherzxjx;cXxP&yrme&9tOt-K0fn0qYlYe*hUw_YkYcPkeS~)ckT#j
z<k(0*pXt%dz4=~zf5i6ErpT3&%MG5y@LpvFs(Ix|2x;0zp~^^M?K>edLoZLC*l~rm
zJ2$&l$M1L1<Rfzu8Lv>wc2ZSaHmT!RFut1<NHMM<nvx1Q=87G^yFri%mfCeIRp5*}
z%VZ8<3&^&Hu{Wj0ov4GPz&u9YYIDXTe_D3c^g0JFVisgIc-Ow2QhHQC^6m3mT1+-i
zH@>@iML=_XgM>MyBE9(Kt=g?LeqqC6-AyW<)Iq7+98|$5K!}BF$DdY7)x1u^YzC8G
zMkEw)IajB$oqqE1*FN|{&DaUQ>6C{oy&IHGA5{esYv7;sOi``K<sa^0y*N2dNRzr}
zVsvGb;+H7fQ3fj}?PyGkmU)*}?_unbJv*GlPkpct4`yTP?+)Z`EoR%b1OCZK#TeOS
zV8vvGT=p>h-OIb8Zu%B~&p%uJ=Q30bD_`2`B%!Y_J1gttY*7=BG`UB|bL816{gPla
z|M>=Ln^*1m8RDQXvB0Rtmz+asf70N_xf<@3fIFZeYX~t~<NLcvd1)-_4f)f7h-uit
zMuRRNoym2ZYt{wEUQ3V6@{9&N{QQ)E)xMl9nVsc^*{kxR=rX_0`sjLOV+O6zS5Q8b
zKbed%oAyx6${#Dq%X9yLC$EfRUh+c{tMUEweogrY?;Zwn1V$E3rM|LBisgs(%2SeE
zuBTVN`{t>AyI+G~@0q<jr>3(vjfytlzgP#{Y7tL>N0hH`<#=Vxdv9lFytK6RNiq$I
zQ6)z~h6H+gdccK+PdTihYR{-iaSH7*c*#Fd+_QH#R%)NV?Ed&D&AUoi&fuCXCp0T(
z?p7X1P+<&dzOAjWF|FZQPscbFZxya(Z2X2wrF!(4dQC(2DY;ucuT)@OXI5sq`iu-|
zGhZ)HiDjFez5Q$Ikj8y$!+tB3>N(@2=Ogov!sV7Fk=z)W@&5fK)4<gem2;I2WCA|$
z5?svt8cO!{Rm<Bsx{gw~gOcndE*|f%kJ<y5O$Gxfru|kCa^(KL+M57+m>3>%9y!tj
zXvpK!(oE5wJxgklf$O8Z>QnR0V=0aU`f6&ePuKeU`%kUc#<V+d6$$U%nNv}5?cu|R
znNFD1Rz7O`=K2f%X>q)iZXTMH>n(d$rILt~S^9EbquJFhDsXdQ=F<Wtj(?b<{DTpd
zqafv#lj$=S6jS(m<k*f0t)CYOSfyc!mS`+zVn|;)79h68$Vu+gWhEt3?-_Y@C6C~~
z%~j&sWEa()z7<~b8uG~wmzszVS<{eTz0K`AmD=6^{gtI*>_MW>tt(d^($?zQ2{n|v
z9pT&q<nlVX^tc+wIw>F0Nb|c%AHF%YlZ?uad3P2knmj3kUehnGuyn6ZV)87x8vqWd
z*`ZpmvVZJ&<6LWXImR1Gy#Fv7*51h2Sa6OwJ)P9!$0~<c_M5B7vV1e?Geaa6>=eMj
zT%C?<osLwi#Y4%oZW!gotQQH?NT4j{&oCRPNUO#O?>MmY8w6Jm8>;{(OXxh)BI{Oa
za<}TbpXM~c_u;C*FekOLujVF{?YblkZT0YXsV^)Lg<*}2n4fzb9KWE`@7<g0nj!e<
z{-E^eU<#I__m$lpJgy?W{)g|(hpQ^SOP#@a@=ay4T7oAi!<+2B0F;m@=yWh!)EKSZ
z9P%TjXD9h;N61qP!{w>pLe_YEGN@}2lP{HddIimWG#kob0-npZ=h=!6S9(5w{ra`?
zqi3(wl{DnYV^8~p^>?k&KBEqy3MCIm;X8<G(wx`PECwo9AHrirbJ*0kToyOdOOG}e
zaVypfi&WLg-rDiczb>J>&i)AiOyC*EZ#NvEjLW6e)3Z+b4X-8DZf=l>vBr0`&PlB=
znt#bK-=w1Zt5@f-ltG`#Sx78(c>pp*e45SN%QV(z%j@`Kvd$iY*eSQ|&I&u=8#dmG
zz8=XFu=Fxy77(d~sV9LoPd+<0*RZChrsd9CzB!rkXpG*`y&V#DKDGCLe-j&_-M@c7
zq;M|G**}VZx<#-K?;&m4KlHsq4RA*L$tAfxUbCeN-8fSjHFKHpbTV<V`?ZGTEnC&)
zg>k_Pq8)gf<PBpxSa~F`WeyDu@|l&x?IKIuC)@T>=uig_^(_+4zaY5FMEM4ywQHIa
zWQR{5DJjj6!o~?Xcg%#p;~Y(`+;gBQ3U9jydtzU2S8R^H*C%r1ICH<3Ub<Oz^`$)N
z5u>gndhW;b4fqZ0H_zTo9+HdiZX2|#>3G#MT*f*z?L_Z;cQU2SGrNb7tOptV<YY5t
za{jdpl)5O<@%gF>lbdnoffb=*GqbZ02t#=`$pQM=32q^P<qG#j)UAv>7p%Q&Z{KAj
zzj!#&qf14{cXM6(Vft|SH%ORr)JBQgG(sMwqra39n{M^2Yq}&Ukc#&mdl_s!P$o~C
z-$a-8dz2mV8S8{jrWEp(@9d8Xowd0&ZMn_$VKNlXslt!p9dKv4Ifvin!>y&mfg*iQ
z<r`XqgQmW#t>&qTGG4YHpU8NAyG8VXbq)7!yTn*y1mXOsO=?oX<L7<6wkSsrY|0mA
zt1S<gBIAA+0C<e5{P_Ss11$yiBa4hlo_>M;nV7CJCu5}Wa%0xtke_MzS1uWyO89ed
z(0i2Z+wM1%njS8#6du)$+<c8xr%(Ce-j{(nD}q@S^k_VsJ^jtfJljAh3xSK9D@}{i
z)G5r_8{V-Q<+bG5%1xRA@guLiaTAYU!iQf^c>-6Cd3w%v<(YXF!t2zKz5t|b?0+`Z
z?|{L=zUr!sut{)T&Y-x~auK}?_p(s}j$v3)6TDWT4Cisw$nZ!zw9;cb!LrOogX_Z2
zURb`pV3BDS?f`8WCyTDr##uda=@>#-II)!@J%4mO+bTO)Pn^N=@s);_M#bridSUhJ
z`XWFWoPIqw@7QubZB&xI`;BmG*V+(8J^*qM-up+Z+48vnnBm@I!AH_E)#9*k-|9ez
zTXnW_>Uh9HRI;v>Rl3<)e;*5G)wQ%#Jlxm(WR#XhM1f+xwy31lwfNmFfQFK#|J0*r
zXltZyz6jZTXk1jfB2TD!eAwmOIWV+*ujaS)8d^5nd%rR5ydaMG_5dFywqb1>o!_T`
zhQ2d(A{?Q_k>_=J&X~1ra)0VKd`F(uO^u6~=K*A5a{A_yJy%1S3u$89c5k}$iP^{A
z$A`=^)I@5oBXHe!q4`vaFPVo*!EDB}D6H=U99h5~5tjj&QQ|}tJ#+w7OH=7@#(a_h
z77s7YpzDkxJz4~u3CM$QEM=n|ATc1H>gni6v2Kkea+AE{Zc6_8%8sYJYG04&%{NRR
zUZ0TO7~b5ttQL2+TV~j&5}A-`=;}D<Y3TyAP^cdYsm9JV*Pw;>?5}VS?jMlxSpLr2
z0V%6Cq)&=El@9%XGM;y1ifPb)@kWSJy7bD=zA2)4og&(#$P5}-&4zY-L4lt6YRf8>
zMiJ>F_iY+|cg$K^<d~)S<qy}bex?Y2FDvNneU#Q|Ti|8W-#?(NfTOFwYF&)0TsuEA
z-9FBkZ%}4AU%0<BrT<O3y;Ep3EiBRL`TV;Hu5^>sYtlsT%zM+0ZBfK=#vu+BL-Upi
ze}TB+I|H$4sX@mdqt0(`rlkEsIf!pt{A?+Uqf-=*73+TE^?R)rTI<Y#yHz(}79>h3
zLw*h$RI<G-hm=&=4<uEbZ<p0s`~5ZoS4X3&)H!Rk2PttW5+$WPJ)O{gYfO(XyQA+j
zsy9Lhm~^*tngN<W=Tggt79&#IgE9D&mor+q=>x6muHkA__uSllAG!NH_3PuSO7yww
zK`|aU$NCVbJgI%!?#H9eWn98tO!9CuMqv$Dr7+sVH0-_{IfN7obBZv{mq-#opJtg2
zDj08#0~+C`j)OxUjaWxhi!;6VN`C&CM(Aoaqycp(#Zc8|1ejS^!nqV#Y(kafUbqJ_
z9*iprXWXq)<Ijtlcp|1WT}&rP`$H%A>;-4qd+ndP&qsGRm8#MW=nFXtUi^K&aAdoE
z6FEkB_u;oV5xmf&BRI=#<ihu&y5ig3J{;u?@)aAj`d&ic;705%h~gi_Y;GLz^@jmL
zq4vq_o(50{x%c@?;_8f=G(f=?DKk4iNw&{uzQ!v|ZCYyQ?<lQqpZR6;2_6(~<N4(7
zq>_3H?$dUA6iW2XoeP>jN*&O&YY#{393i81YbX?W%i?-_dtd!v25zQOTg>9bDE6J@
z4cB^A_v0A`-uD>tQ_3FD$?)z~K2sinCQPx-sj>LUVL9ng_3H5+DJx&jx7!l1deE$~
z4|GqL)Gox}ueY#9yg+cG=e>I~4I+WA4OZu0h00SZ+67*z&qV9oe5Hxn)$^v^e?m53
z;`}7RR|17vH0W(Ezd*@O=u%`=2~l1U{u)-a_gKeqaWg%uq7X6Sp1~{xtbK`AIprfU
z=n;jhUQp%s|MMQoLJTJ-Cltk-P{<RJGL&b&VV~&QcsMd+Xvhqb^}JEly@KU_2N6#X
zkDRJ1V@S*qP@q!-D1+!ph(&db22APh-j1M{gf8n;4N;3Yqt_qZB`tRB)+oY?>1Se#
z*e+Do9<iB%ya;&l9N<MB_b+1or4DhBoNqbxm#F0Gssh{LJFRApm8hA%;Y&0gHo{6e
z+Szs5WhZ7S^9JYw`4LQATVsEAwWQC?ZyI{F@|y}99@o-44{v6{{SWT93e`5$fX@Hn
zM~3_hYz+DQEe!c6om+<b@_RCnXIJmepl<-e$bPoJ^nkA;0zW4)G@CA&9Vk>Gha?V9
zyDV<G$~JucR=w&0dVNvltsW}s{m5guy!&SfrH6LtfaU~kL;MAc6F@D5P8z>X-(&Dz
zR!m<neUfYZ2wt~2-aSi`U~urFHen~K{=+4Nw-#kQC#3=3qw0iLUsikjDTrOjgl<4v
zX#bJ7SXb|kDdeMyrbiJ9JN`tHv#Rjd@ff4jl!7ep>tCN0ez;`xTFbm8k24qn+d)*t
ztxG;srPl}2Fw1oHj%~fFl~7LBRfA_cg})jkAY)FE-(u0fpqj{pxG%XP<DU;-w8%WM
zPn(ZkKS)b!YiO6Zu5+!{`9gd%tAWa$A6?5qPBBKW`HsE$vn`$h*`M*4oox42R=VQa
zx)D~)0l!h8pKoAD96a33jyAyw;!W_+&r)$L(o=-eA#PL-S0jftcil`-%+(7y6ITtG
zJCDBKF4}r04=cu2!Y;5qG*we^A97ue`#@ki4cFd)WH1sRVOZ<`IB>O<IB6Skr#(!<
z3=b85k-C(<sgUUM!Pve=1{EYd?i+ZkJ|sO~N6I3zLNkoRvYts)B-D^FrN_$En#Za0
z(X72p`0=)~<EfWBI7--|9cJoh`tyqpWwGzLX1+V%k6xlV#-Fgp$;CD4?JOEMMC~mn
zz8f7v3QwOe8fEeRT;u6iu7o(Z3-R}?ndtQ$TeYtUnTG*bW-7EWh|P5Az)G72RAU?S
zNqYYAnrwT%F$E)YEp!%0y}JagoJX%AZw~ox3WJf65pb&7#6eWh4uMIQ(hG5{2G5?*
zBjg7gt5(eRo>#g0;s-IvG8m}uWILu(IfLb$S!k_G$E?QbEFr*XCg4=!l76ClTQ<KQ
zuD#r8;NZr{Aq7ILut*LdSOnv=$*(;Ga-MH!5_;rbJ@kem!WfvFCqn@QI$g_mc#U@B
z>sMhup3S9hjp<Vgt3?-``f~sU+XI+1^P9~B?pTl5%dKbBtr=MhfSTB9PV=9x;JPSl
zP?-qCIFPUf(EI8;0criq<@y?Flc|PMV?(T`H<ua-NDf$brp|eZ^nPS@j&?FOs#;bI
zSoydq_A7Z3S~*YXXJ!z_@{sA$;66$fE)O0};`IJ!GjVm*W@S!9-c4^ai64I)<W_!e
z^cPtLpL<mjd)5?}9znA~ZX&=Ffv#=@c;nn(VwZlmhJ1HpN*O&BYfMW4I65Uq@<~Rh
zwsc&o_ebWs&L_-XQ!ows8XD!tU*;?iIAan6sfYP`jefkFzqHYW@z+GiPj1&wFJZ`a
z=}o*C^)e@5U(C`sS0XlXm9b;J1;!p^f<o6r)}d@1?j}%LMsFt?q<=js54BYrhA{*#
zMCC25j7FS^QMLPCJTATbt#29`Mq208Bg_O!)D!~gMO*oW>|z3A{?(6sefIR4!*{B%
zV!9lAuITZhERG%1e8fL(O7e~1@&6;gF(I*;eT7xdM48(&lz;l!DIN$Zf3!ny^;KY1
zc)8}QlQ-8n<(4|=x9(K<v3L4CBdHH)MIAZXiWN|$WG04S+Ec)2!H~q{PqY@ps&^Wd
zIlh8~Orip>kP0CGZ7rpS7n_@#yR<UkT&D-uw6PBD+^2jbSB_$mK3L_qgzz}P8HV*1
z$fyF<8p^=Ph_D+|pZOwsp$nC<<Xu}^TY4E$ZI0Pody6bHG$8`2C!_icf3YA_t7yLR
zp-*)f&o8(3`#iNHxJ?_x8ZG6Gw?H>($jyHmMg9&;r4oe9YcDhMtek;tuT^z#wg*Va
zGjny6A!caIyQ_vgBOPThZoW<2m@a0Cb$v!|k3ust_Tl)NQiKBSkg5CEh!VT*#(fIy
zX$UPMxA>)7da2_hK*yXIL3CJ!^C7bp&)FJ^ye~PARZC4R543}6T-96$NE^YREd`ju
z(|vh5DZ4s$fZD7PnE#N)x0E(+ezUV%V^a?r-m0X4<-;2*O$uoKb4yw@z6i&zib-0w
zc5XC_)R<_^aw)#AUa=0)3%+u>KUsf!NS`T1&D8r>A2I~Ka7pcg0w)9#FOBkUDgvxb
z0T}Q0_;Tv5jW2W-XF{7<ZKi;CI?YuG<j2TMe{stzLZ{#C_DAV`@zzVXW<PUy_a%e@
z4f3(qVgLd(^W4n>FDu=7TiZtYS3fGrJ4{_0#`Q>ktF3)A$+T$~l}M)n>Teqb{P{NT
z>{=>8#I|l@8GZa^2Z$qv09O~=)*_F;d`Ykbdcmf^eA5b<o5%%)fz6HK_GxI)YH&5n
zHoibi$MKWN<eA;(E4<<o<x|D2xDIHaRq?K^!k7-9$p9s^$-HU6Z>vewNZ{8Hl`h*t
zG)L{MAwGZ-VA!xW*I%j=>CvM#et$$vFSyu$@y#TWgu&=<k~RbMoqbwWGG~DToXUSY
zRDj29s3D7{n)>bWp+HmM)___!&oRI(EVPPr>Y+`gmRYO6a1DDuKvI<gZJy%WS2bkp
zI?PLRN#~ztc9u*XnJ0NSRVi(^MVnQap-o&X?pDo4==FX4Ju}l25xAryE-tQNTL;43
zA->B^INaI9faNOB<`akXnAu1`GX>BV&3hfp*Qi}(BL2THOTh|1azJD-ZQ`adsA!*!
z>xKt5n)Wc7Ox~RBO2(&+klyfbY>?V#jEAMo{boxeYBy%p1kdO`*DFFe2sO+Tl*P%g
zixwx2l&A@R-D5x}s;7gqzo2Aj^BXwrW43#Ox2@{iBQ;OFaBAB%tI(nKmulpCt9B?k
zN}iwl#Vcttysuv#cvxUuKGh=Fhpr*@=nNa~TM+_2IeC3-aw%6MF&$YlyXmgXeqefN
ziwf-mJDz;3nGbWuzH2WQ3iwIS+ljQy0O|q+_E3SA&c1yvHzMHoj}YLK!)4}}VZY<L
zfOs`wVsnN*AhX*J1c5amj3SkE*Tb^P%hBb7%gO)-9T0BH-pQ%kF1yBfnA$6`^z$Kw
z_>?caC!AXb!cS?ov`?PzLlq<pbyE<I#3dy~Qz`Nj@uMEU9#0Y{-Z*1-vN19+c(luL
zl>o^zb3){MUP%B*czWiO1<nC)aPLOkkd&`S-vCNv{iBapRrCZoWTd4%zKAtJZCI}W
zTq!?7nTo;7<{Vd#&HyZUb>kPSg#F^gDb@QUaMRSbHdEhGuHg&t_8H7@AZUY8K=FKQ
zk{3%G+(7bcAZ^jX19mSUDp4y0CxtVdw}yhQ7FP7)_2{t%j>2sgv0wG|tbD#*M>2Dn
zaHXPFS6Zc}<k*Xk@F0gYR_2jZcvE`1fJ(+=PN+!#F609(lf*%uN2Gy$1F<6JsnD@c
zBO5(@^fVjO^n4R<RJ3#IP^D+<)5$S6Df03%7A96$SQtn$SCuXYGxw=Sl$zIH-|)sw
z`m~I@=?RLLJNjITTv}gjpGKw_x;gO~3VTFTDKc}vf_Yze_(@#2U^`fu?lItm>48=w
zGhn&7Tx}CLHJ~u{bWf?SMtw#kIYh5r`u!H8b582?FfZr!4g$fD9I!k<8b8pVoVHGV
zqR<1iCIt%HxLZZYT2-aA^7arQ$EQ;7`qUe(2gr=Qz;JpgfIcJ=nE?$snpNI=^Xb~d
z_bIgbh{?tPZWM<`@4PDEDNe$}B<$J)gdF`G#Ex1-AsOrOZIEnYt*5CZf7{LyS&atB
z{_X;rvg6U^VXNQD%9gPM#>N9B0c#gCwN)U;<kZz^L@r@Ay=LR_am^VgN^M<SG`pts
z{0@kVc8I7@Tg`boL6`k3NfJB}_3-hAa{={TSy`D%%_i57%L63fD_1Apz-~a&!nXTC
zW|T?^ec5FsMC%|CmUv8`12G~RfRO5JJLHMLtA8X)Gzb`0EEMh?HNa!)or&o|m?026
zPlHNl7@HZ)8+aW6R6bRn!0>zfw$=CB$5U<QC;K{!ZvO}npbf1<VTk`jqp!c}Q`>0~
zLnrt?$dsdSzcxRhdDQNYCc5GWKPt&v(4o{nrR`?R^v{WZ`WVa|i(U2gLAA@JB4-Xh
zZ(j5dAR131_{mUQGjhR!TmP+}mqy^FwGWH?pRI2KGo3sQ0ps^$!`9X|n&0!@99H_8
zcUlN(6H#CwyVW%Y_#f{)s?uNM=S5ia^YsOZBbdiG9ss8&lC6W~mq-W)!UI}}+2U)A
zHYhREu1NMplo}*<LB<ml%;NI$@(SxOJ9`5+vJB<o83O~AT+zNkddk$i*uGf|$yf3j
z>2AgdX~32cJswggAu;UVl!K{-&Mj0-byAjmf}1&mdlg~|7!O1Rzxq&j9N_<`zIbII
zq0sdQw(-oZtzzbue=(d1nBq8SFIhGwF@Yw$tDiBp#9m>99t@+dDDw_pup9uyi0Jq=
zD-9w7df#U2HU;@rBIK6icFi`?)+PtMdA)zuy7C$)ME+jm(|C&DJ6JM6aUPdR#t9=P
zvumoE+P>83?2}8<*WO!bLN@n>+1t`XAtyzODLH#z88>=rTz)r3ObH)IKE{44EjszN
ztWL=61Vp+=!#%4n@$3l)^c?GIfk=#4`!<sN%#wH>r5*z`!Cd<cNhXTggv$V*#%isW
zBwI)1M9#8NX9|JaRlL!D0Ng<C0v5(0j~BaV;w~tcV&!m$M4UTn^Ek<o>|sWO`}%-6
zHsbscqWpk~VPUcdHz^q7Nsx)}#tns*d1NmAUZ#_)@l?bNi{%sy3V1GC_r!e>NL(Ca
zm#;>A2irqVSNwWnPSn6uUfW!6Z<_w<EU)4mKpgN~`K3I=ig~9cF}%KpZC^!FzfF=)
z<x;7b5|GNzWZS#vn^<p{$p3nDfIZ^WQVq!z3!M1C)4t~0=h$zJ&NtN=78#fzGAhho
zUAVWu%_OdCc0@4}Kz6vdiJxCEqFQZ?i$u&o1L0~%M{@%(7Ju$lD8Jq6!np6aAZr)M
z(It0lSF=KzfYFaR!1GxfXRvDpDXbuwD>Yb(aeMYCpk=e(-T4JFmQm;BYFKH|zr0Rv
zB&9>^SCR4Z*f;^bSvW&#y^X{z^Z{8Q>8OC<LwdT_iWvrJ)|`Fk_NA}RNqBCVd!gRH
zA*cX|HQSL61W|8?b}IIF#^R!BWdWLr0f)hfQRb8@wXZix?SSum@uU7X$1|VbMky9y
zJN2&!Wt25OjV*61ne2MBZ1z1TKwo_NS}SKsnsC-~)>F>W)$wCOt!MPaSu&1zQfx|V
zP8CdgvCK>tZ1~<82%;4U=5kkc&m8`2FFJdAlB(BULx&>Y(khb`IcZ#8tLe$1(m9=-
zoO+!<4Px0RU~S-#?R1y5H04Ko^xS4oHci<kVV=d*<vn^S1f9<<c5DUl5%8}6eB}$q
z0(@+&K7#kRFyulUo=`_44yZ*qI5`mjl&B=H{n+e=9w!SDIl`kML^(KY5IVhPgq<;(
z;d2Q%H{K?1RJX~Hx_vj-hVwu#@8a>Rz8(-z1H5h%P=8DT<AR5-N1Dxtl!jbAj^J2(
z3kyZ4QIQ$v+a!%6m*yid+6cE^xzzQ13mnDO`4<2?ghZ#@>ewBp?+dKZy3~p2G0-TO
z<UH1ZDWQP*=bOoM)r<E)QHFm0Srd6IDgw!JnGjmu+I5U;vlO@4ipl3oO$szK9B~G4
z+@&Ie{1LGRfmYzV-#{xn2&C+lp6>1fzq#)z4_O0m5H4NRaqUuZCLnwO0{B5XCH8<d
z>r~Rpa~fDtX8wFcc;JibMDoX9g)o@9Gyt{3o^4W_sasP-s=-G#XC(Pd;9G8=t6XSF
zhUZ?0tRW+hc*x|BUgEueW6(5$9SB$gq>uhGr#u98jz(bKB8+AGr*f8*o3|7F)!Z>y
zw|Z4sZCkr=F^e6jEUW>6V>cQnCiAP5^KA^i$tVn^S+|po_yc;#MiUIl$yw$Gbhuzv
zNq4-M2MP57a1Lse^0KlSWO;zG-ZVuTF@U8+_B|{cMLuf-!<mS=0Wpm@4OU(Y3%dcz
zyw}VIY11Niuwn{%)D}T}=ay~C|4$$=^#LJDRz{T`xj>f-^YsUTPMA!tA#G@aAL9zr
zU~ygikvlPQaQ1C`En<&5D~AK#0I}gLJ>>P*=rhM87JpxVr7ouFXm8&OaE>0t`MQpR
za+(%wUDEhkZGXRX31w()D)fAtw!6F9G#QyZ&+pb~=n&5K0`r##guq+yR4F1(6Y8`E
zKFK5H^mrayAHFW%qw2K=hAJy;UaO5*mIBFn$qv(9<A^h+8;KCB@Cwf^lHu3dwOV!P
z+qetNF|X#{jcOD-89Vgxq_m!`x(p8>Hmj(G>{WUgvq^d$u2LK6Wf1si@95a|T3n=e
zV3^h$(v;*q(%cWS8ToCpX*%pV1FzwLIE2#ln0Bj~b;|y0mD->y`~$UH5lj><TCeE@
zQKFMs#ro+Vk>%?XdaFq6sH$Sr?LBPt-qmepZV0!$47MkZ+H+h8W;OL0_citC^z!Vu
zgvXKREM8*c>WHx?JUuR8^Bfd+FFxJ#Mb;{`3)sipm-PCaKp*YjWALh65=X~@$GTov
zEXBS=m}#p4D9NKMtVedR0|{*bj#Kju0cD^D-R3%W*zmJy0%M%z{ZxD(odsPAuzfRJ
zh&3}uV3-4#KJp27RqL9r<22w7tz<JMysvk<1U<io$~o}1Oy4S|@MS3{oy9$b_zQad
zc?^p5U++ySt!N}D21KljhaR8`ZNFUCv#MP10kXXQ_fgGH(FvZtjQ^M`pinv5B{E|t
z)bHjb3Ud?^5_Uo!#rYoFg);cjSYV&O|6;fvA)ZwP#Nwdb;|O2*wuK{I_o8{2Wc<DH
zH$dALrMw=6E(oQ5<C>mT$-=_DlX;wcsfu=r9H=0~0s3YCe;LVJ^-L&>@UOR_`Bjmj
zy0>JwGkuHQc7MHRI>kv~?`c|Hp|Hg`uT{4`b4nn=C*||0>s!`R(cw^Wi%fweXS?u6
zj%N!|DDm@Vdg-IomV*x(*PYD6<2Eh6NGK&aWE8WuH2Nl678)>dJE;L$oA*3wA!ut{
zEHqEz3)+!>mj2p68(PLYDO)qAQHI{47mTlVQzY4-e$mF$#1%cpeEzgch{@(D!{Neh
zsCde@vP?zEl&M0jQgcp0!6g|la_fAk?C|HsP!sr%zfbK;<8Nj^?x+X8A*#4FVw|fu
zB=vLe?KxO`c35d;XG-kMIn6!Wq5gkV&17JI_DQm1o9Abkyfe8LqWOv`XIZW5t0#SH
z8MMQx+BX}5Vl+GS-DNXQ0)dU1d1O6)rPk$iO2_t_a$#aI$E=Qd2n|p81RnFhun_i=
zG>I91tL&WMrI}k?l=ijqos+>{JDrW47EcJXdfvx7Giqzk&JGQN(?e_L5y_x!yOUo|
zR;Xr1wv2b#-<``Lv(P;c5mRc;&!*kJNpDx))8%*w9v;BTHj@(A65_2b!T#@mJr397
zu(}<3CXf3$`-_jYXP-nivhm0S&Yc$6BrW}UQDnc@@LOZuD5_DX{Jy17><j)AQ5&Eo
zVCRQW@pkVm48DHl&a5M%?x5Sa?d{I;7Vc+e1YcgB0FQQ1>>U*9<k#W_;;AQ2YOfWo
zF-26@5_{!7{EvyX$4u9~_7ft;-&@6yd0IcJV0rI1<ld#fCct~9(Q=m$c&K?XohGQ=
z51j@|r0Cu2DPas<;h^4X8<v;U_}90576)md-ti1RFjU>*P7n!=n>BE%QTFmCr#p|W
z9uUL`&9!S1Mn4}d_J4C@WoOUhYp&OLc5Y|?>C1=;ay@Jn-Ry(dh5j$v=5qt0c06)2
zE_PB|{q6dD_vpe*lRY8aEJplTn3$U?A!3wk$kLRF=lMh1mNQ2W%hP``f4&tiR_=1<
z8@a&!fQjq+PR3bnHTS2GiBLVIA*H;hv^Q*(o`k0Fh`^x@H{##?r0M2UBzup(zU;ze
zaTkf}!s{>~#J?oX`DG7R;eOU!DIOrgQ7DcWC&S{02k?PQVNWhAwd-<U)#16y8O3_s
zRHNl)%J#0ZJhY6yV>)$T{654UFLX}o)Nt32IFB*kD-L^_AX{-FdmMEq-rA7KK)XKa
zoA2!gQP&bOuORmLZbC$@bM#`^Sh&KK)M~2hC*KG?hE9V$$#iG7#<Vk38pM!1DIRSd
zS)>_4i8=#Yu9-`9b!?bv3b{!91^eYgGfdGlA(Y)A`ld64@XXZn)&o0vwMdAWKS!s5
zPOwHr8C;uz-~VX`*FiftRShZf5*IeGge|H5b$dhUkwL9q-+Yd%qmzQX&+8VxkFFdj
zY%(Fa8gP}}AoCqOiX0c12}N{0sTp4DE&0tN2$^0BS1gD8c^0eCP%Q$PCyzNz0Jkya
zQ(HanuB@_JdYax!SB8c4)Gl5zUgU{18AHVof0#-vt3i>lc;jUt?%8&qhtd!IkC0$p
zpyju+3>964aQ#_H|2HJA)yB_Wr?fT<cx3erNky^=8Pt7mA49SW+95>rMl?nZW>_oG
z<|G<{d4Tyrx8(8i9WX$3QIvUQb$(2+AnPWJu^f+R*f@;!J#zSJtn*tK&84li5={bP
z*{vteE&426X3sbKkjcD#e8-T)fcoN9=G0vF{G&~yJVp>7D8!s7fDg()$3DQpm#w=Y
zS^G=4_hX-*5I*Sk%9j!33`PAmi%>0TVy=idK$<Hcb3H)j2j!V(IotG1SK)Q>i=r0a
zh>yXY(P)K<lkXJRiE`oMPqX$Wqy-{VBN`zEB3X2L?d_Y0Elg@ZQx53EItg1B;b<-s
z`u_eIT7jx`<yg86mL*Mq^>|n_<4fEr>r<NB>;^t!xt}}8>3>%ukFF~tgOMHOO26H&
zXKoMnvaAn5F{kPEVKAasgj%)hBeyMoiv22}f4=hL!=~b`*dHEa>=^UsiwU?cKSA5$
zTy+*lF|ghn*6`<*l*F{6*qg62A9joMK$DS$7z_gf0uZHx$M1Klj)t5b_=eLir?&JD
zAnrTxIwBMT;rsVoU~vGDdOws0%k`O;*S~y|phwkTj&1f?wf_{&hj*-3t#+(uDu6PK
z$|((5Cc3ia@do3!;_}~?9!N*a#6D?@cH;9-kZ)yc<vE#?ovqw-#61+y5vsuOt&)?I
z6T)!=d6fw~pZ#E^r%_#CjibzPV2o;}N55UR-QvVoqw>3n(Ag?D4OJU*U33IPkAvq|
z@jlQ@)P0)(nv6y8+SAup+ZbvqE2mdhGF+(OJ2!KG@(tvWlM)vSME=!l9_@HKK?4gw
z9yt<6`hqHS%r+#e`-@5nIMk_GC1oqOLo0?x3ol)`m#DAMUk0aOB*!N;DlZphW?o~J
zUrG7!%cbF7pQq=<D;xWdPnatg+ho8N+;lw>v41(hFp<sz@7^Yry|m)&KgxwXNZ`sx
z-Whsu2}jpKCw!3euMFFqz|f8J*8y(ypsxGh9b%AhQfK3|O0B}OZ^XFyp}xQ+S@R?b
znuFTEAUyc+bA$ed<g{XE*(~Cb-SO}e94WweZ%~Hu$dYQ)9!&Q;;PqsA`huak3~9o^
zoqNUmOwt|jHL(zKg{MKpt-UOs_7O=$D2sl_0c{A@pDUA{SEBME3C5ONRz03k9_CoZ
z33!-ABwyCw9--IkC&YT{kQ;e4l-YXzf95wz48I&G-H1pH$UfU!)@*(Sr2dC2($|so
zL7FeihLBhNaHk38|0hBViV1Sc72^TlM8553v%*vRVJP*Nwahj+c7<(v593V+iuz#!
z2A*tdeHNo|kYbZF<9d6qVeQu><-R>SENt!-31IAYJ8ac6Fp%d*szC!Em=8@b8~43$
zw<2}1x+ZV$+#vKByuA~4(eYafDDZc??pp>vXxF9ipe7<libAc70-DFb0T3XNZD|^J
zHJVN^2lMY3Q~e0r&asEp{>gLS<i3p)BCf=QE8$4!!Pq*b(_HfB>B^i0Y~yZJp4FGp
z|9;VIjqDL&14H6&>I92<Vlj8o5-3U<ywD@64KOe;@T-7muV<eAF2KdbrHeG&dy)K@
zkIq8=b=!k?@w_H|=ypZ@!GOb=Z*lx;owf#WOr~rir~ge_$fLuB4;r@I8XsMm>(%FX
zJIG2WiS!BQQ>IqkOzK<)K6~z__|cx;*G%GXj~mNdNoI<T;axIVXJ<0HV$Qf&mu1y*
z-xA~wAeYdqwRqF2d(&kDce~--#|^|zK<vZwieF6-kdssQVbJ6i62!Rm4}R^be+-!G
zcB78@83l`mXl4Vu&>ets1$lOTj>O-mMKjn}*VUW+{C5~k^w74*ZDsrek(XmL{HJU}
zUpil)mN?-3Id0IzMr-4orVHuOH+;;qYo35B)Cic2n=-Q(;QYi4bnbN?->u`O4<xTV
z;^bOP9tzdJZ}3At=1(Vw>rqBcv?NYg2surXnpxpruX^DK;QoA2`|lUW-U)Or;&4R{
zq9GB?tX6j7@hM4a<+s3DUqYYnlD|$>?4&(x$5Sfccw0N6BI4WmoPRv{t**`w`F_sl
zP!didLgYQ9UbMW+oP}ON$F-hG_$%x|lzoo>$`{+;)1I>Jjw$aP`f%&d85TvV?tJAG
zHm%g<lDG?wb8P%lf@)@o>!=bOh<d%N9Rw+GxP^}9iM;AoY!N7Bh2rkbZyxq-@9ws|
zXAa0^Mc<rERF+@-a$YsNo3AXp+YVR;^OyYG0ZW~c3x|wB<i~=F2Ip3~LYmBdr!x_<
zZeU>OV$22u%0j=wEU><1%Yr$X;>+m1;GYiASJ_=x#BeA@E|womxcg2*)kGQSo-|GM
z1|tH}3ip837`)c{aIOWA_*_q-*HA8aRcb)@>^*Fgpyj*%-6pvJd|`U95&9;+zA1&-
zB0f8n)bWIwtK{CS5s1vB#AXtJJb_kL1CaeaF2o<^EVML^<s3OC-gIS^PH_8E<lzn$
zfnf+q=7<*ySYiWUiM7wfXoGpgjM^19bHmv;3h@%e8YP_o)tWeyhwp7TWS$QUmLV`$
z$+1F)X>hLq>Sty7G}{Z(>BD=$`5EIbOU^t3JZgp6cu-92Rf90FtRT0mx4d)st*DKz
zrx)vIN)zS?l=%O&nL)Yt-E+WrGJQHm7?40A;RtK40D}KSul@IkVwjWK>};4$AT5-|
z8oUqk=NnH)E%wBD^d#RKivxG_mH`+{?_FJckh@tSrjs5yu))T;^(1>ldscTXyFlZy
zwHs4^W=uvS2OaCvu0plWQETL2J_x3oR>u5qv7A=N#7|ugdAx-i;eoCppAa<6?&wOu
z9x2@ad^^%SiZyPfVN^T|K(qP>lQA#?7{x9INAZS5!qb;~x9UA8Xb84A$PW!P7%u4v
zaF5IOPtPHM3ot1sw7?dZT>sZ8YpS_Jr>t`v>44v({#~LBxx|DVm^Zs|RBb-S{0r<1
z`B(pq&iw(@22p2gH?vw!vGLD>Fnc1P!)`%3NZxG79n9wa)9**858b}`DgoWk132q!
z$%Wv57ZAUKJf75l{Y3)GwXj*bG&u?*EfD+-VYeH=TF`44Cissw^uT{~>azV7Hi!3Q
zkoTm<k+y29h5x?_L>4FX#V`s1WR4R4*SP!Z^z%e85RQQV1bJVG4Y`Qn=;}#@OrLLC
z{h>}Or`VB<%)`jr2lpdi4@Dg86A=C&M#fs_iXGI|Ii7!&Us3J+)+IENOB{ab9zZ_j
z4j|d>2_!(3M_Wn`yq~l62m*@%>Gw<0YopV38-<-%zv<^@N`3gdj5&hH_f^CiPmivw
z#!f)H4`x`NT>t@rSUvq_@78n7>_=wvvPrwh9s}2C&oi(Rhp_vuAfy0dk3(=D2axd1
zp?PqN_i&9e>)d025RT_d{##0|W3VYhU$`$q{ZdiJNx+up1Y?Cn!xg4)kG5j6kOMhP
z%a3d)X;tf1hWzbN>u$`yNc*M8Oo8x%l!PGp`r~&(!Ec=_GM%F^`x#a|@+r(GtHAre
zkE3`Prp(}x66^++{><1re*+MOh1&;ROG5(9Rute%Ls<{UZfLZ$L$^>abcJwf#l%+W
z$FUQ-5WEKb&`Kd<82qW{N8aOJ0N+^#GA#NsI5dI8$)hdg5B@G$xM$7*koR}f>oZ{C
z0Uq`2W&Rh9@duFs{e+V~aLfltDjd{?(<u|+NfWLAcl|FAut7VZhP?;4e7h9!NLt?d
zH}E?=F!Mr3p_zg$Xa=2>H!?Dg-OYFY?jVbUFl+U)li=^%;+(oFQe!79>LJ=Qvi{9I
z$~_n&W#ZWX$3{<KfS%2Q=if$0n5(ULJgvv~FJLv*V3%lG)r$4Yy&&vPR5@|p%&uOw
z9%d0~SG56)ATt%@gT$o0t>~<6(_HBB&V22|=tfbCt&kV3gMliBEuC=hFOuPFKFwA_
z7-G}Xk<E8`flvi7&Fe_I5ij%;%}%W9j?4hBnFvPZjc+BR-qbw?<P#P{&~FDx-44}i
zSG)<LfQq)m6@ylz^kPHatzBBEi0qFeVvRX(Me>sF=kw>L3#2V)?fi%|Akf@1!Bl>s
zvkJZUyDdlLRTRIl(=%*=nD%H5Qi)I&3&<SAt~T2Gc^N_58f$Im<DmQXnM;A!Zsh$S
z0b~yuj;$&gSLvu)n}ApqGb;w2Wa*GF@;)jHIhuaw8F970KSo=6vbjvSz&=87-+1BH
z*A2eCE8Y=g`14&Yh(pnyvOBhw!LbAO-Hi4%##>)kM`*z>g$YFB<F<?=edyEitOxjx
zeYlFesTdHioAM4Zb9!{&K;S$1_uF=CUY^?5uV1C7QXYai8nJM(=6kOrWr_qx6Vq#l
zz#M=j<e@d3+F@;5#$=tQRh!BFj~|vT8$@cJw(avR-@0+USQHZ*zH;Uaa^?v!^MZi7
zv$V8ydUZ0nPq_R?n(^I=Yllo+?gK6TXkWX`>R42%JpsFK;LYpTS+$cW(e{jDT-m)$
zn3+x&#XOl2CWf5{ki>u@TWjARp<_If0yM8`@DaD`4a<zYVB1P?eFA!hEH}`|Ou--7
zDarl|&0rz9l3iDh64hY7W8y@-*-Qx=d6}Z``H8)-z=(8kYozDzYG<AYzX=g>Ic!<a
zK`70EqgzXTbu`b$dn~Af51^4PFkKZD+sAA#ehX>vP$}VGziGx=h#Jgqy0Oas3F7e?
z+Xr46afe<wB*CI{{AGM@IYZFvY3?s}HqJ_o9O4aEj5-fSS^q^SsF}Xd?I8nYPTkNq
zq@PfWwH*$iaJz28Je$mW>gYttFTQG@%80u8dcn^~pLPh<qw0mx|GPV_V0WhJFdcZV
z@hhGo#cb=R2)25-Zn-4GMvn7|hg^;*gSMB&<NcEkIft6Ja~FVc1#DfNIZW465Y4b{
zZ8yP!KMN;zpZ5$8<JHbqT*bpjvnkxD`XlEXZH>{|GJai=8RJf_1yfITUhPC4*?=vJ
z{WP@}ui-y(pz_xfuBEc_nj2v0I&^ZW8tFZdd%~9Cg|pUV9bZyX65T2-I*AFT1E*HQ
z2M+_w9GP+At5&JRwJh@M*b}AY64)v~#qPDIjHn65|Nd%1V_9ZdS)+ggrbW2DmPFh-
zI`{4uL!$S{GwS-Jg2Jy!9_VfQ-P`5hM52Zr_yM4=hzi75eY$_7K4BrOGd!sT?6X3x
zUB$gQM*DvqmO1!ekPK}us^|GMPwPqX@ruusfPfjD<Sx%X(`@JkzEVNfI5Uv+Lk)1b
zYGl{+lI}e^)I>Ci%V}0M=EJ8LC$Uog5B~|vi60q)Y|n3vz`k(+>*+2k=u9}pqoTQe
z*Z=CvV9ro`521%naxTdfgafKE;Cv+TppQ%Qoi9LU6J_9XQcvH&(VYgqkphX@`7r6t
z^+jdo1B{G}WH=fc@M&57WO{qRoI5z^5Eo01#f#@|sKq$qDxxoU8KUV1x_G!BJwvV)
z)ZnCzZiq8+dj>u>>4s5Pgi8QN{r9I$M<5>ho$EG`4skR>!3?lG0X&_V;o&TvUS347
z0Cpmd9a8Pu%n$eW#3JYIs5?e&<kHOZxd}u;j>6JPKAf$$8$0r2AV5F9QP~lKh~v@D
zhBPop8k5DqFxv%tDLXdyAP8l4a9&N>vx(aatQ+PpuU`cxRNT<UoEH(SrRWQsi8L>e
z0*(^BeN)e$=v!oG={Kt3PjzuoZEf4imzroHtAi7vSopn-)xZMEHbpsA8&f33EQTFV
z4O%wXj}{g6yOn0G!p$8vGs9_Ne>AAF-j!Lg<`>e5ef!5!yxq%zidKP$pG6|x5+WXw
z;{PIkkpYq-+nx+=$OzD}fCX7^*7f_}nMCO#KvxBX7D(t&JsZ8R3-((U3;#`-s3-9A
zA%#=qJ-18qB=}T-?klYpKl5C4t5O7kqlr$)sFA~yY(p4Kj^QsAS1QSnx*We1J@p*O
zyQ+;Gvol|9DHb;);Vo=gqv+psf*OU}7EW<km4J{;i{=B5X8s9m?34f2i5>S9_tmG3
ztSJrnc5$jte*DDlBnCO<Kl}0E9smT-pG+c~RUpRGdLUN6tf6NwpE@WnP=(GR_h!OP
zI;f#lUnOJ*Ioatco6PSFRz%)KoqV2Whw^N94XEje(QcauzcLsR&=-z?MR_aZ79NEv
zo8w^E)D7A>QbcSWBEsK&_*X_ySs{x16bGRcz}F)uSK(JEkgxx*6c}{C-Fq^18ws&<
z(f-4yIopDty+{3f?rx~hDRX<Ww$?&IY5uw<9F$}FrvIP%SP3Tf6x_c8ZxzaEd91)O
zqPgr}Er=HY1ToV%cR&B$@*RE^@W98GEBz<Oil!q^?G5Weu^|wU^|<(`wB+%>#rh5x
zwzvej4(+T|#R#b>9OwqFkN<YT7X&2ljulgqxn~0wi{NLFbK$g3k2ij6#&VqDz6be-
zIba7lh|Yd477}(2gX6)te>0{@L2fMxv0o~fsSB}hX!M;&=ZcUn{O$^hO)?3eKy2pV
zdv@Y9Ty2K={_&t44P<}V<^oZRY=v7Do@ZQ>0kwFa#5Mc-YmP!p_wrDJc5VVFOBVHK
z)`#^)Ed*?h!K26MxWh@U?8YD1VuhM6>?{`VU4Hn-$8RBl<*BFeV+K7)L5?gA&vqKL
zv*yM-ipIVq9<CT#X)m8mbt&Sw5c}bCG4%eHf1nyFhQUG`>~#yzK2)jgW?~K}3&6K>
z?J`V?DDP7Ck=bvFu_Ue?^kw>GO(m1qgR?&faB$5nfUkXV_pdbgb%e|Tob%YBz;S<#
z3fH05;(YB6gFQ#-@6Qk-F23gjG?ov$T$E((mIQER%(wOfgftA2t;7M~O5qfsBv_1^
zhpQZ-JiF|z{nS%agj>((AHMn1b3N6ilg#wX%4cfouumW@PHbE+!YWSw;6Oh8;}qAG
zS<41Ky$G1hC}_Vd%+#z+Ar2sCr2Ps)LO<a%K>+xJaTD`_%0-8Mqu9){#zN`W$90${
z5ZaIBv~1gGs2CrXtERZ4sCs{wM8n>$sDvVO3En^!<AEYs4<Uz&lim<Y$nYbWk<Hp%
z-qFB!sbJ=*V13#KO4A*%os4f6P!fvuy&+}soD&v``T{GvuXjzgnsHc-ap~zw=<nu!
zUJj~{iOy&4rd(ek^LE#0ao&e?#$_iyD5FrC<*;YIsDa8m;MaAoG3VI9u9h;61B!Gh
zjd0}icPrNBsGz{`NOhX<MN({Pp^zG#8q+trYnQDQdL<s8X}U#})pw}7cyhCJQsuiV
zmd7d2(Wz;nqe!(?9GQ9pTjc68u+#eqZ(fQiK@X%~((vxvwjfS-CgHYeliCOP0<p9c
zUv(T@lQbM#Be_eW+qs)?zCyTBgVOQJ-({1N#<+mK&#oI{!*!Ckvn)H*>(3Ny8VrTp
zh>?eOMFhD%9P1$O8SD8T_wsMBov8dNqEBa$%B4P;*C;o98h-2K;N&;SOpIq%^`P$$
zta4rcNRd#Gkp5+$TjN+?9WI~g<S`sHa7t9h^1!JlM@YA#B72<E9h^hdeOxi9`Y)o5
zIe7|sbF}p$se>%G)_(p&rIPIutH;jAUTAC2wfwAZ*h>B*&THBp2YO4bR+~i2jl!9t
z{{HZfeVE%)kf=r3A$INCIMTVR&d;b#@T;g9r`bDfg|>yOJ8TiZE>&w&72UA*CoRX$
zTM6pR#bUXF(FzCq{Ez69CFfoo_Paf0P}^n|ghf_u2So2{fE~+oC7>q)>{#f{d41p)
zf-Z&Zp?95?v#UtLL&o)SP!F4LAdJWkv*q!8jLP-RFK)B);h0`)@I2PU!kwA=$9<(g
zoNwFbpc8L?f+mDCz$th9hix6aRGUKup&}H^Wi?(aJ9!A0yT3_I?nRWCQs?F8i{8f$
zPDHd|n~H+JtSF^}a5>~Q>r)#Fdo6waT*QHV-y=hJOnH<T9KXlr_-;p8+=re=^T7Wb
znzVp?Z;vD*qKaTlbGc;s1<03DEu4OyEyY4Rgaj-YGhF3c1xq#K3Kk)*gM(jQ=`NJB
ztA@E3Kj$G-Wjf@BWTN`@4+NPYDUhhmrql(9-XPW^LHOK7a$As*inWQ8V2R{FS*EqH
zkiz|AzzeXIFjb6x!tw;;XC<pQ`WM6et;VX9+9a>s;Sb}yz{1Lxiwya$%MMnHn-Idr
z(oroHwGZfw{e+$g?tfixzXVK$%~tznx?y<O3Vz)JW~$Nku#UDFnd5NwOs7OTTv;~s
z!bwar#Kt_9XLiOxhQ+z!&S#*ux{-|0cKg36>5_3?9KS)_Zj}8e@`6r6)Z>Gb&@{Fh
z*}69VC=^z^*P(5@|H_?e*Iu9h!`EBKMcu94!y^bNAR&!}BF#`D(u#C<3`2vIfRuEI
zbgLi;5{h(pNl2rBDB+-_w4{W9n7?cA_MG#a=Xu}%_~<ZvWA7{0TG!fN2t#e%+q7?G
z6e|u?b8{HexELD!e(-_<frtYX%t9l#rW_mQj*bXZrBb@7h{@P-q<M2|j;QVW_HB$)
zQtC$L<Bp2lUk<(xxbvls5guor=LIPT7Fk;b$0icubK<h^KyqA#jXCRybcWC%?gr+d
zSPLN}<9)4#0muwNZ03T{&>$Kqd!o!KmWw{WhmPopvoYZ$rg54S8zam1K2dWs#md^c
zFSOhd{DG`9codn?Rm|)hq6icpEHMj%Gr0`##{X3ap(7Db@g-;N6*bYgt3Oz7L!?Nl
z>-`!`5UXMHZs99jo$;g_km7<0366waWqlQX3@({{=VhVa-UFYtV58CWL5G#CxHv&D
z)TwRZ?d8}-XyHQD0fI%ba(-CHwNTl}MLor#l|8zjwnKfAvtG;4cyf53+qf!FNN>N;
zEn@It=bK@im(?mtzpmmUmH{XVHX4??uMe$M;@HT2^G{DGOcANZ5N+5Qp`N<aNCAc9
z2d07^x>U>K74?w$mQ>KY1yq+!KhFgY{e97X@q0Z7>j+2^!F1TSqX3)<jM+n1l{ki>
z9Zp<6#ZitB=!5%S*@FJzi1V3XN(Ci+VPWQOai5a?M&Gx5cd5SJ$#OexbX7c;+Vg|l
z4N?7j_0Ci{y_P3#Bp)~q%_0yv(9R23#|ch+NZ0;s5%gjAPs4Mw#Sl^X6}!mxa{<tW
zE}!i+Ig}%(34-yufeXE^nthrijn1=C&4?}6koIyCkm%p6+sbW>WJgN}#=UA4Ngi7U
zIw4R2*eH9-I<Ee3k;f9-<6zaIy~b{*5CTb%B~-;G>Lf1C(uRjXiteF|b?qk@E7`pu
zv|u3h&8F<#QmAb|#utfyA41M_l|&ia8GR{(b9}mHr<Gx;jonjzV!8z*|Ja#NQ0ZyF
zm`=^w+8T(uYG82hJPb&DfDv+BMM*p8x@gP;szA(X3v;J8Vc@{8>)gy!5FY2Ku$~p#
zjYkwR&WcP-Wa?a6fY?!HA6vwAb%>4^VWDso)TYwHpH^|!B`UnOMY!0)Vq=XR5gUnJ
zv?-T6iu;B!UdW2DF9XF)9!Z6M3~lw+T(^-^`D=hSH2}bFXzH1asW7jA##vX9!7U8@
zOR&0ltlz{i7FQtRYn0~5aFtozfjQBFCqd7zxXhG#u47iQ@H_TrP*D>2eY{I>`<OD#
zW;=^2gtzW!s8UqQGg%LzqdbB$SpXsM=%1R2h<AuloxDzXWS-dKW`7A&pKhriQeOm1
z#lPm%zqde~R;5VtsHlDjTY+euOKMxY_Awau_B(w;tO-fc`(GbJN!LId2NN=x1q%rh
z8gs5~?{>b={%*rw4Rm@x#aA*sz%>i}8M61+$Jc?d%)YvPmsD+U5}`%(Uq!py#2Ugv
z1A1v#VGsV+VxrWzsX{%)ecLyRnMz9cP-drBA7R27Ud%qH3^Fj96cpGvE)j)#FZHIT
z`Bl{niK}9HNf@3~Ei-L4=%oeWtv1#x27Dr5M%l~{JFg6*U)cu-UeoRayh%Y7*oMs7
za11w9KH(Tkaxbs2Xvcu@#k0B70deu<NY%AZ_Iifn!M0mb#7}3A+J-@~><7;-+FlD9
zsJ&-BX&`GWy43qpgx=G+Z|=n6jkx;yg>4n3$&sjH#Xs}me;J9O07hbbo?pMAA$1rp
zHwC`iR303Xc6>}=*6Ti&$=sZ5aO{bp5^CZ>*lJ^TzR1|AfK-~Y7W|*O8=t7)B5XB=
zc53TNdzxAWO98EOzJs8a1lyI$++fE0y+(=6V=_`snSC*9eKPvFTqS;k;?^(9o#Ra=
z1!*g7Lav|5&ln+l+|D_75rM=PqUO9cS+9;AWyVr8*iq)=Q4G~YupQ9d7jwjv!dT(C
zFL1T$;##$(Kll+IJem8@_H(@vi3!7<$hlZfW;tI=dC!Jn6rm<}ryt;u)fnoPZb{?j
z6nH947DnM-j>;pSGB5Sg9<?og%OQTmRTB0k@M2E(_x?N+kbc2%9gdA|DX!O1?s{ka
zJc2&rH6m3p-#_chMY|_pVh4X)A7+xoRx)y=&)*SXrlq~lDt!5}UZ9!V_m3Yx=FZlX
zIj`BIA@Xg{Cy%B~|BR9Aict)m@Yk;i35yo86<=CLtUbX(9cslQn_To~N}&3DoE%T6
zdE=%`JU~p9Z@;!ZSOC7&ynOxG32l5YIVyaS`j&r?&F7j2iz-LiLRk+o=6}jMUY`iB
zU)KWT345Abli`!$-w7u}Pv8$BQeWgV9>Yg4ABo+6$M6vcj0h5MV7~hKp=8NZRiTQW
zd_D@}wM?grg{ie&T&gk6`ZPev4o^?Nek_S79%yQ-_gsmzP}cF+l`9i8{@GeY|JleB
zi|Y`n>Y#L3S?l;+_!!1_nHRqXS(^6A40s;Nt^fF~sL_;F8Z33$gx!2obnKR?86I7&
z^M@;&;|TVl`U1mJkuvFFz=Oai4s%9i>M3|wX@l@~g=fpfY4G!Vd#b3O%^ZD!gdSSA
z5W>L+AZmfW5Fle~WG>aF;D?l+*$%p1fFXqc)doPpCvU8Frs_wh)!xt44*0)Tu50DV
z>}mw8;l1V5{3Pi+G3!#)5RFM5(-E?R+U0R4{ew0W&HjX=HQDb%=n~JPdTGluN)r`#
zdz_!I*aNj5I6Gc&b)V}eU`?3x*&nun`z7Yd&W80@+dj$jCq85z(ouK&ZtsZ1DQpFx
z+H3z`9We|tB9?;%6*2>jpgiZlXbp%+eGjUE8bSRu+Y&10y9;06lBH!6_UVurF)5_z
zE2cz@`7E@x<OY2AY%e$4L1jdlw#5U5yOdAKnGzWd0XC!!fU8Fsb!5Z;FDcwE36BY~
ztm)4qq7PU_{bix+l!)b!g>Ms>Bm?nvm3dlXM69~+zV(d^hw;S4^tB5)>&XO3L0oZP
z{s<N$vEqxA$T<DU3ZluF!#x*jtyypdpq|VC%+`DzEPrx_uKoT|409USPJ!0H2qs=t
zZ?EP(TFdYl;sPtEyhkvJyBZ2{f9#N{y;R`eEk8Cn3rC1?0p%u;>Qx))4UVYb$B3Sx
z*0pxRF-$@P%MTo9XNse7E1&QC+g^?hDzsvHf?`#>eOBK+d!VQgsJ2pn`Qyr@)lWr>
z?6liYeO|FW`UEyvx*$DyEbNFS_v3vA-TD{{ejZF}CLV+87-N@r-}cw*eD`c&g5?(|
z;W=t8yYR8G_;cWA|AOC8+z9s4I?rZm-?_xh&gU3kRCmDyD23o}Q0N-oF_;eT-?kTh
zn!M>2?%;-x7<{@~Ywn-L<=9+45@MS7Q+z${g=W35-ZaV#&&XNorF45DR<Sq*o(7;Q
zQt59%-Z^ZZE&G-Vym&HB4@gx?D%#M0Gdd)JKy>wu=$XT|!_|w-M^P}ieA$b+T@A`l
zXDJ70e~k=+=6>gk>I)(SCQaUq*KgJ8K$(n*s7$GqYqG#WjF~KLr|mGC6Q7^9ys%)u
ze*IfeHr`~W$#>5>gY{udDCpi&eN)o<H@^8k1qis!e7zO17Wpsm${4^aQg!m4jcR03
zPL8&zDXy9<9(DGO-ggICwI**K0g^iNeEZtqG3MuLk}lO|ZnTdgR{$Bxhf_H%KcBZu
zKX1WnmW<2&Ngo^jm*;+1Ac<SZ{9ox5Ffal{syeh&q>E#K*$FB<(2_2huqKQwu24UN
zkd^}Bre!nj$M~Nv7H&WLc25XVWm_koeor-8!SOc8wDcvz)y?NOX&pe|*{O)sV8w4|
zS!o2K0J<K0r?M>oV3w_@5w=Od-^?T#TuO3ryQK_G6<fdjY2egp(ZAiS#(BCXD<U<U
zncA3g%?pEXt89)hfRwQm-lUC`QZchObk=v}K_ECWlAO5kjSz3o(kiT<7Llr7R9fOZ
zEz3KE#ild_eh?yp(+sM9Eu8%N>*dF)iIW>vN=8>J6}G-QRvQ_#JrlIQCv`iYR$(M4
z{s>4VRPLpwfYeWZZGfv{+cT>~PQ)Mxvi$Jf*SH<s%swzJgfalxe7gB<XNLJJAFIvr
zt^(70m=IHw-@|)xEjueiO7!U8Rp@P$^SMltRN(U3SswO32c9Z%<(zyMJOo;B1`hr(
z?*|rLL-qohE>CZ&gw<tG+W`k%x_hu5{e|wKp^!nkmy~22)TDX)%pC3YJOqQpPrMiz
z>f_fG)d=pgRKEOgY|!;O5u%1Y)3dIOgZED(RWAn;0=KiIh;|m8nIOhv=~NtpfDp#-
ze%q^x6VPGrGxup;P&_BD>nx>&qeKjC50d3y5N`xZiD%MEuMg3V6zs)9vzdW_Qn<dw
z^n2l(pFjlfd`MxFKsmi&GA@FpwFXo*GtWc?fL>2fN7hyFPn~YH0+&E9j{04-1pr!X
z_f|)S*OrEAf5SwXeY|@xL9o&MkpjR&^qjS#BE7Qc8TuR+c(#L$*$0lQkK3PrUD_Of
zmv3rV5{GnoF{EK}(yQvHU#-J<7s2p*lXO1OlQGhnJR~PRZ44+SqR(}rC$N}u4O`M)
zZJ9(~#`*wvt!TsBd1z*rqhnUbDLC&UBcd;&%M^`BM-B@xK~j=87=}aCzwftzlgF5#
zb)5M3Y8XvYNdyS&rb~?LHc*Hl_B0<E9-8?vayDBg)*}x4mMVjxQF(iEvV!dubKBN}
zDDQi?&Zg5_nom`>MW5j{Z`Z+hVj;b?hkt=m=EO(vHZZhBJ7y=O0|5>L)^$yD=~^VV
z+J6>*{H<T#*XM1s!V}DiIU%$V{@~wxX*fhmg;x3dem79Ao?xOf*}UiI4cD+#rVaXf
zEY@A93XLQLAsF2PDplD-uI!BE)zbu^Ywmmd?H<MYCr$&Qge#kVU;XX}T?oEyBJ^NG
zJF&l*d6PV;yrhhv3H9a(c9ZzRfAg*E=nN7>Y8*DP`wQ*<42azW5O1Db0}J=s%J#rl
zfBb%tV6ag?Vu-Tg5ozgzbxr#_PR%VNRerQaP95b1(Ej<{6^FGBoaMtIUkDo|6ALPG
zM~);2q1T7;UI!$+JP)Gq>tKA$!r}*p3BGsm%;XS3(9zlSD&3cmOpb!n$a&w}Sl+1m
z_MiJ}qIUh}<c4oc0EsfL76-%lIAHM5nE=eVMuLxp$X<$PfoEJYZ>^~JW%)6TQY<Jq
z+GPx8f}|ecbrsi{-=k7UK>c>ZacXvNAGGIvUuXY<9bTFA(Eh%RoesDVQv$sGfDG{X
z!CK%sVQdZJJk<96@Bs8ea6wNZo^<QQ6}bC2;S-ao0aQ0`g=~%|DllSq)62J)yA+3l
z@8a>nV$9?DL+OB(C72ngjp88GGF;-I4jGe3b#Y5j3`HwrFAl-}5-a~zt~Y;VD3w62
zKwZMT*T7-$i<WQ#dWgrnhk(c+EmliQcul!{+q5q;fWMw74Uo89&~!LYbJ@7V_B`mV
zgmJxEQMf(}1L8V!<B^ku5&e;`^qf1&FGT?jS{BHvb&|TUBMxFD7XX2hXUB>Ye12Kr
zLTbegr?z_|LU<DJopbh(KS5voufRd8epur+6m=J`@Y<5Szb4Q*Y|pL(=l*7WRTEM9
zmev~3O?}WRCQ{y8ED){9#S$#k;*-@kH1}#jSc<X$Wg50O`wOw!H{%A=EmER0Mw@<o
z6LO9x=XC&(27ZYXFgWV_Tfa)hzh6qsO@ZWDC)d=D7fg3Kb;vN-zfHTnewTNs>hza*
z_%I^&6vRRVu}do;p@pG$0mihBV79Xce7n96TLK^u#jp{VL3re~HB=~q6(Tr97q=b@
z5rV(Xfk5CeH@W|L;_>Ywdf^cdVucsONd|ZNAJ`b7G4%SXEG9rt1V4W;*a)>*%E}P{
zcQ61sMhhqid_OJGT^0dNXzVas4*`yX?Pqh2rU@aS3%JA9n_~a-9M*BqpbQY;9fD7{
zH^M&ieYqEp6($Tl|JQz4CqxK!{1?Q?#+{B044?&4;tclf-46guL><fymI;9jN<CM>
zjTj8m%kKHGAMgQ-8)^&JJj6bB0j^xicF9DKK<8C8?v-zUGww0vVbLMfTWEK_p!`>9
zoFJBx0{(@yTM$e6ry_CWEwW(S06h6ex?sSsT$uu}Dq?&<(@ldKosmvq$?F*1U;pRH
z=7Rtwl>iu5<L5fNKLXwjGO7NNBUn5i`4A9Wv+%8&S9JjW&xd2B$qTEXR)NO^WEb`6
zo1Tg$CyH$m7HEKlq*8V5X0@=<g?2y*t_2|k!%l_SAfp0$21Yg@LKI7B5HTUtlAs*=
ztPJFmQX(jWcpc++EYD!?Sr(ov{i^D6t+h8+Rsh)qWChM{RYZu<2SdISm`tb<s!Qi7
zSMDPdu+ghM4j`$UPwmc^n6}a>AI%{KjB`vjaM~}!N>0CBTO#uNy1J;nqmBP@Vn$d{
zL+tec;u9X+^Y1l@$5XJE6@hQFp#K**M!f<<Vgr+Z){-rDT`0o6y-Od4#K#IzS<gA%
z5(v}O2(|1UF++Pdvk?YuN8CQFV#eYMWJr(p)E~jYzaHwMM@#Z99IrY&z#rRWVryLD
zWUd=SI*ySSt;3R!w&(1o+mWC&a}IaNfi(wBmHLhrmK~%<0>U($4i&Qb&NLYj;OlxY
zyR{$%5dlF>0I!%DX817W4|R+T>tU_>tDO<VUQ==Df`hR)+Ndwd#%Rqxq3}2-0i*(#
zRnz^SBpgsX8a(hKjLa_;WVX^l2obP=#}v1~4SzrjHzORkrv3k<Oxr^izaM2Aw8CBh
zY8iN1bOzi>Fg?5nTNGvo8z%eqsR$>qxPWUE(2@BpD?Srw%={E+m;5gtZy#x1xE>);
zWPXt`RDq`CETKItqwMokmw~?kib%q%K$Uk0fE5)vF;DDsx*1>NZV{1t2{bbW$C{a|
zYPpQ02=+H33UKk8OoI)geZW^a{n^V{w&pG!w&y96;GL!Yhsm-SO(4JuP6M6She&G^
zb79UIDum-0i`awsBcT32YbNXJCMX@0&nZbj97$O@hv%dUS9CKf{2%pE1hhk6p;1*J
zmHKiYrYi)ok_~qTMet8F1b4>*7|;H<un6;4SmZ?$>}!1}Z2*b*Sg!@^Rc{#dasb%=
zjl8iZ>#BKs>0#y!BDe6W^bSmS*4N*fF2-OCu=->WC@>z1aXbmAHYh_2Tlwqij^3DM
zN~QS|sY<Th*_oUm!;Da4*8{R|A1cW*5NQ12>(l;(qO0j}?ck@Ujg?K;-h9Umec9|N
z9*v2>mIqkcANv#QPF%NWgObtkLuK$E_SobHPCF}>ALNG$8oJ0oFSES`hE8_2yGWnJ
z|3pxq{HqlsrFc{)_ip02R%-9G`lqqu{`?<}9jxRqF}nU;tg|lo`91*gI7s=y?^S^9
zY;=>4qebsm5bJoOL;p)zMol@sS63!c20^o_?m{UWuXcnHc9jsl%s3eXeV$v-xVpOf
zw?VtBIY}Dg4*eAlMn~rDCfflZbK=UYE_a$7>Gzu074V4ZyOiKi=nXs;#3$c2^P6tB
zVmy##ivN-kzXsKR4LxVuh7JEHn6lU~y1%@Doi-MiknjWx*!5?zd?R28pbTE|YjvP8
zdT7>MR^}FQNL@JO87Ng#r%8Bn>^<3-s)2BkpoR^Lt(m_>pYRx@60h3@W0|+9q9Z6{
zPwvkr$HzphEPAMqkzr3(iCCaVEWTb#`>_s&9x)Y$6=r2%c><=Db&s%a(%_vj``G>I
zd+Z@DPoi5-Dy%dfQ&B5^gzxJO_@jB!`?=HmF@ED(ihtDpQs=F2wu-b5y0`wIT+w5n
zou7hvLn)@W7I)C0!ZRX+O#h)y0<g$1X(af+JSvN`vn@v|Ea4a!YXhiF`GNOoY=cM!
z!Zk=fKbpEq=NcpYlKPj8Gk}?d1{QOv_5gVYL-TLp6C4*){WxCN$=NxX70f5mn>Yf+
zYD1&f#G&5<ABim0v+zyW8W=@(ypGqxhaQ3el$G*rYzjN=4Xhq=Ec&q?XTA=X)Xy)Y
zF?|bp7UZe?5dMstb)XW5WrbyqaD@kEPJl{U${ZjpFtB4)R>!I)<ZLEOtw^!o5o@HX
z4Ax%%Um7I54}y2FEg4r>G>A3)k;*`8wV#BsjjY+^F^h=@&PxTN74~e$!jrYvxuY#G
zaASZC0IaJ;1zFtA&BwzCpxCR_klNP+@0&HSN*jmKnL4m)gmzzcdU_hpweYXC?jzX*
z17Gk&@UYu9K9OJWw;mJjmO+1@USOd`u(#9ZOoxhr4Tepe_Hhz385U5Lhr2-R+mGCx
zhw1*@_44L&tI6K@b9HVDy(8n;5d$zm!H!a`4l6Rh1G!-KuU|p(EaYH%Vun4I;CLww
z+u!~+dqM!$i*y-M<VEW^$icv3ysE|~LP;P_b2!TGTE)WLtxcIA-dAaC0aj?7B1q(+
zpznPc9Pk3;e>WUB=B&FJ$K@Rs8>yE&O(9tD7br*Q;#NJyGD4mO4?O~*$;so@u49#9
zki}w!)BjV>6nudi4ng|cwL#sxW*_5vff%s>WVp!cL+)l-$ThTo>aJ(fPov~t{h#di
zuf4zhm~qBAt0NnhKM9<g6h|H@4#nV1rupZA|CF+{w>)|UB}J0K(9R8`l$6VgV-sZg
z)!6fPP&ZCdRuz8z&tlMDExzhFF)z1b+bD0lMH=Ib<3xU3z*1i<KUrz-(}wlmfKsX+
zBuM@y(VTbi5EjTbm)aU{`{<}Y=@JjuEB+8WbRb=JKi@*zRmz<Ic0N|z>ZA(WNe_c)
z7yaMV4165v#mZgiF9sdbQ0^ak0_wDwuv9rhg!QVX7$}5!XGOqOg?GrU_&GKjMoE)<
z{%7BEEJeG2MG8S1|9`bD!Iw_P6dM1lFM*8*-)};O+fMs`_a%rzcoolK3Kw{=#Lwq?
zSgvEsSqqQr#E2X^Kmwq|fBJTQ@FTXKK)iF!3w|zi-@O)44eK~C%Q2|yv!P(ek=D<D
zJKxg$exBi#rW;9>B)0Ai)+Xb8R{n+EW1>mo&(h>|iG7u?Pl_mZ$7(q;IFv!qV6QB6
zydn_23UC?2;9d@l3~N!|g;J=X`C?93P(s$2^oL)l&%=tzy8mj9i4b>LsKKM)`L`M<
z>{Xt1;v;$?JK32VNZ}q?+aej>_8*A;`D*OJSwxSa`S%xE<1PJ(^+P|%SBgI*L@aYa
zUIi^1h@ZL%1h99Q9|4~QMHT2P;G~agBvj1LZaSR83WhDr=m#5t7k^{eUJsmLe(&F}
zzX!hpj}CNvTxo7LMn`oo9ybc$2b0GP$b2CN21&d2?L5PucB-9{oYSfUMl=4M!44Yf
zpZ(Cr51zwflv%YpX#uews<J51dsP3a)dkMv3ZS&$e_>66@hS)^ixV2>$$!z}w!6N9
zVs!ne8W=1+cWg<SdYV-bB>??52-QJ_&=Gtrjq19K6?zQv{L#ID$m|$E<e9XN2@^HL
zDjHMiPR5|fV7)>!3lp(gZ!t`&XG?$MA-WpPf?_<X-(qu(qmim!z4~!)9GoWmG|HDh
z6S`?3t~YNCCrV+>$N}6#rE}bBKmx&54H*`@Qt<7;X^QY^-ZU`%mSCF|i3!I=zauvk
zkcQ98gVK;`u&BnRu*X;4IF9WCd>jBi9Qi?GEXx92e!R9M{aEoqBTnt+3F+wnZa3UY
zk6WygQ<Q@ISh^AP^&r2qhA0T~yGCjJ;AgjoM(ekJOjM`nJGqg(nnwYmiLgk4w=lB`
zzBi!c(g}LnzKh|cd5O>hc<Hl+Ml&on80<^lRBHvu1|i@LU+w~Z$n+C^0JZ-T@qk27
zLYzpLb~uv@n-#3sQW}P_=oW}T;M>jq7l417;>6SQy7q2EROk#aRT`UUcRL=WoVutb
z_nOWci|hY<6_DCkDx8mra6Mj~1lDmd`VY{=;yD;1!(ts)<iD^u5-_+X@lW#uX6=nF
zWs0CNo}t(G2!SF!_lKan;^(&nd}pfe8ytgeh^M`$D7A(DPmy1+?*#yCF_{J!Y~&Pw
zeDP+^aTDDx2{GX@gfwU+K{1I9Y2x!SqiqC;#N2<tr$6A!0d3!Lf4GNl$dT%ikWNZb
zlTh%Nah1mQKR1W4u#)W<^j8{kq0j~D3RsN$yn)y(87H`_{_8m?d782wtbBJb3;sq>
z4J~TD&8uqO4=KCmkEZL9!`g_afL2;**f46s#bDKb7FX5c!mtU>C)NY#wN16=J{;?~
z2McsI?&TY<*t3#SxcO^i8;)wuJT(ZIeaUq)JYi+PGf*sxD?Ac@I#loRK&q-V!O&Z>
zU`~tcYE`&(mNQkSB2{PKgGtqfNJb9cgfzsm7%ajxH9ltc=UEj>oY<-)JVb9AA^nFK
z)j7uA&T9XP?(O{O*9Jb#MR6rJFv-x?B8&JJ?)lD18F*^0dd<m9R_6vg$G0dIu$*ca
zXnR76A4w2aZl^*OnRQKr1x0r1Js}<vkLb6HQw;Zc^R_2<m}gTvf9pTzUAktn6UYAJ
zDutlIDY3Pxs(z2s>PdtEqe&TvcK$te03B2~X}i_RxtyVyI4A^+GZwJC*(j)X0MXNF
z3J6Z^f8M{?67!vR04$odtR-0&{B|QuZ>P(2emZy2SHY}KBrRkfuTB^(Y8131)uD0$
zN5vv&C;q{DnvA^VRaPV^DdU@$dp}OM8npAB48LyN5uB%W{`YSSqbU1H**?TTqPRGH
z@~N9+q$)9GBfYd>93p7bkweE8hMc?=5uQZVr#Aa?d=T%Ub)d8^xn2Uf1_>#*m@Q5$
zbmX?v78Aoj%mi3d!l_8b7t4cRU%P^!Zpc`7H1;m0?5!1%9~-8eyTP!RAgDms_r~zN
ztx2AT*(y#0Cp`(!uiQ*$xS2>e$tuT&hYQQg?~>EZP|-~27yI|S-18H>y3yJ4<+(y)
zoGo`=#w((&-FAw0rF=4K5*K;C*<}p@WbG#R3Cp+Tr-<wp{JOE?G39E?jJx`oaa<Ax
zBog?KwYgaprw-J)J|VBZ_&OnEB=2B!akBPEivX*vP1XOOB1lvZM<BRvgOS|kC*^^?
zc$^c)Jm{Q1eP(cOr+8F(#SO1QLbtDYcAWMwq03DU*M3^9xEKR}8CS@gPs^=C%1l&j
zgT=oz_RGBE8_!9rr~MNSRO^+=*Lv%3M91D5ywgK^HUqBN*Kv27l&83gsPDeTTfXoJ
zsyVogbb(^Z5eM6QY4D(hmUnKy_vq)jq}n%6_e0C>lB%^{fKOK?gM|herxj*{Y0v>e
zA0RVqo#<iuB?O6uHXu>|%noq@9Asl0w|_(1qsNmhDI78E##0iEQ?FkvttN*(yw7*f
z#jgkNkodK4`b)e95fy){BF`!^xfF9(RgbszsF@JanQ+lAW&zw7%Q+OT20J}9Iz_+u
zJTZQ$j6}6*Ras*ecYZ!fUQCzjagKqu#*%EN7@9t3!Y`4cD5dn^F6kZWs#MtYz0gbx
z-Pg4<2RYT>PB=FGUz}{>1pP(yh+3@BO>3F;^AWg5gx&U9!*73_CR^#uFm-)oc%+u^
zT!r7otkAm6SMe*GyKw7aWO&y&_iZ9vjSS^5_>q%=iT*4#pQMM5yx35r$U?cUQRu=_
zYG`+%xMC)_3B}Qy1&$6=YD+kVoIow&j~*>C!;va~xL4?!Q)R&*+}*5*(2ZsNe6`%G
z!L)(;p3|mL<33-zZj^+;wA9(rN2EkQb$E88-oD*awH!pnWGmUDcy_n9@6U>;bvp$V
z>Pq&;H*EB5vk54aC{*-RG7Jp;Hla-kJpwpSsP}J$T#(H7uZgYT2^jM#IaZfOB4O-^
zXL5lMw!6`lVNWuO9)w%s`uS%Ews|o+#b)GU8je=##Uc5Ev;}M7evD?fzyGSNBP=O3
z7ag8W`nY}kBg*C4wXu7<mSRFxmwWB|R9!;4+#~p-J1QBFda%sNk85s>^aK`w#panm
z0PJJv%|HdA0@=(M$exk2$*+}ZZC~YLuE*h1u^^=B27p-lAS5YZcS-;HMZTAPM#irX
zZQHo*$L^9W@y6_Zd^RZ(E=)w^+($L~fM}APUg_jUwk7-02}@238up9EKPK@WroCPO
zF`rePFegW&*XI`cl$xlkZ;g<UkDamkOaj#U$#790G<cYUd$9FID+e!(YgF<A5Lv`E
z<VG$u03pz*fs(~GlY9NV0!|)xcTYVD&`J3vA*|{f^UniLb^AEScNKFAhtf=2tEV#t
z4V%v3-zsuvmI4zbwl{lADP?w|<UN&@lIKfNF9a-VT22U%4(?ZGXy40Q2>5jI^>Agz
z4)+@)YHKrCFSU(X71+woBMYzzC|V#tpiZDN{sVi)@|bmflq9d;CSRtmdsP~m8ih|~
z%_ujPJ#TR@O~-8*8v^deZdrNS?9{bd(oA18?v6AY=Ls-%Dqz@YrTJy;z!^+zaGE%_
zp{r-DQyZhtGlQ>n=jIipT?^^$<(o!vZVCQ5`l<=_5AnO)i!UB^JcNP{$~s7(caN*V
zo=%g?xTp-MCxNF<{9A3N=bRKzy<{Edeyc4$&6Diz2W_~N*Q4*PdNhaj_g*lVYglf|
z!0{1#0Zrv#*V`j7s-$DdjFk9Ym#j$=$>*dWv}61eXIw-<tWS3+ZR+qE1`#D#!b8*$
zsad=9>|CMdo&##g{_b+dnE@_R?movOCMFHca8;r-xh_EC0Hr_tOBxe0AY%2n*KZno
zxAlCehgWIIXrvaueiSZD);c^6t4s9)>^2;a99n7v<C4mN$?f7f_Y(s;=WiqzBYD^_
zkQ%?Jq<u>@+kA7~>S#MdkUN~4$uOt?X-qLQcPPSsD`F|GZm}md`ICodDZ>hG`VPDA
zc=c<4XvE=oymR1KC<|x8^?iY{tygXg*vbE4u7V7m{T(=P>^U4><hl1+qy!GOf%9A5
zotxRl5B!qDtPg{92O_~u*gh2K@AV@>0_V*t)@(8g)e}gWzg0JHooI#Ay`2+8>`pD7
zWSfu?daf*=f?E+P_vsMB1XGNkyJ^FuDu^V;S18v<nY^f!L}o;ZIhZnR&ig-nIx^OH
z$^KHP8_N6)iecFgHPqOra>pJul-k!%Up9HJk{2&DWujmwD~W^>&W>?$gwsO6`S{&P
zo@yNk3$>Zk!I}juMX{bISZkIUI6f6?)AFr@H0UV-laKVciAOxkgO{M8@ZbgB8t~sY
zZ_GtMSFvjNQw7Td1p#vv!xrMR#u#iX038Rdu^VIejqG^eui{Z4XFXeOL_nT;{it6C
z)=Fyhddf6kSY!|P!=1QOgrNsf&O{eVA19w6dmLc%)`w=PXFTgQcmEvKgB<+i`n<Om
z8bzfNwFx#xROHDIrGFOnRAy9lzIs(YDUoH-KJxgT?(ZN_(**6rnvcbrePJm>*Qw0H
z$wRk0@Mz+`y@wMCzfZLI*3A6=b-0ez(>VWcnWFO>!4)_N34jbZQ1j0KkI(@P0Q8Bs
zG4G)7Vi<n}^Dh$+-z2-kPbzShg{HbC5BjOxt0%F#T<8-9d*apZ&+MC>yKe=|jZ$Ao
z4WH-Mq9#tDrgzV%xOIgml>K=dTF~e6J0>Aq{f8-R`}tCNI!5|D26e@F4{azMc`!!j
z3~Y>wJCQCP$a5^$QK!cu(If+c`UyD)mo>#W-~^GNuX7ZBAeRP+sce3y@#>E`Qp2gk
zInp~Q?7IPbb2Ls5-m|{|(;vc5SMY?z@P7&dIG@4{pgf&Y_@yLM0>Q!R3)1=^FEC22
z;4EdL*APY4mQ?7Yn3&veNxT^R^6loxTXZT#)`lsQ27QjtWloV5gEL&Qck^v4!>eA>
zGfAeL@hYS@FfeXNtUOz&I$HEBV^7-c8I0qJ!I2}Xu*5(>RME%}J`r&A;|SJ^BJjIc
z8LG;v-V0agsW;3sx6(ltrz8bRB<{{_U}^tBrGUNHJ%**Y>n^+zQK=ze5#Z`2KIf`q
zkFCx8etqT74d6UWsD~fkQ`|X!rBg;p*3m>`v*{nRAZ~8T5(6EQ$tx{ARRPi(zOD`t
z1drc!_S0RFEM?HPG|HQBZ_%oetX-UycpCH?{q!q{Z~sw3{(|XOIRER6-&WHK=){&u
zHAX+ks>y-+>z~Qhpg@6N+6Y^NoeIi3b;}jU4Wu467S+~@6{p~%GiXXi#G}HmEURIX
zxSC(qAXSIA=gkNnEKJNB5EJo~oQ^f8>5|FW>3m>Ct4(({f%ptv_1z|c3AfkP$fei-
z+h1=i<hMT=l3s`m8JG`TN>1q+r}b(st=8$k!z<KOH_qOh=uAp_k=Mw}NWg(AM7g=z
zy}Ft)U~!$y0B2NW`h`plH75x%u~H&fLKe@MPhAxi70nxWfm6OG5-eqa;=&~BjR?l{
zT?B>LcuayQfwKj5U4w^7x(no?wSmGCjvOt~TsfAfG!;&IEcC_u<(4E=xZPkDaaT_x
zl&fIO)&UPErU#cW5(l*LW2vV~1gUlIU$IqY7+=#CL=K8&!F1iwKF=+Q1dhJFl5#<g
zffUACDiRgTCH@;S9l@O!;P`0M=ZtV*2>~udLOfIh*`8V}!+6ZQq%6TpL2VOlWBsO$
zn@3CLhULRo=6AyTe8LF_cfN+3a|hLHeS7xfw{^{CcG2qH-45|^=}THIQcmBz-He|G
z_<!&?#d9}0txnple*X*c%O@zBlk9*ZX2Oh&I(A0paSowz+w<lE>R&jtnc$(gC@I{~
zE&TRL;^pf2+#kPFC1CY=c%#9xF4hCQbJ?P!MndWG2!w=ZBnGea@eu30S{%R5FykjS
zAs%IRrC`RXoVr=E0%h>)S#z`hQ@_eE-=fC0DJ`Pi%9O><&FC<^l-;ttj*pcmI8HQ!
zBh^Xb9k%gD>ni2BW2J!w?Tfs<3y<@D>?Ysc<ySe33o=6+85xziSGTnKFaGRV(bK4A
z^qbn?ars?tW+aAQx^X0)tZ&>UR?sJDH95+INw1TxsuFymo1=f8y5XKdhbWVEtv$)2
z$19N|;m-dU9<~g^v=eic*BLk^!@EJMPDu5RwLhD4K2H^U^Ilc2dL38DJL>i2MO!8I
z6$fL@=iA?{|IwrvrS$AnYN-1#cFRPG1~AI~GSTZhn)spJf_kHQ?Le{I9A&S5z#*`h
zi#l`p8D5jqTV>af<nSLy?J`|%&MXl_%EDcE->Do842+VhVc%U1up3)>Smtfy^T>#?
zQr9iZj5mzICU_{S=wn!NYCcRf+wy7!49A+Wa$U>Fdpv(Ij6roz0c#2~7i>c1Fem^B
z2mM0r{)tiTHVm439XzACuNv`|*I~#=UwKbgYdS<~1jhte@2&__WY~)tz0=T$c#<1O
zZ)?!x;^S%*aPMf4HV4!pupR(6f&ow)W3{T6A-tdZIFEh4^LoEF)1CgHA{PqI)iLro
zM?@DbvUYzyz}1LZr=f08XGK2LGg3ztUn-rtGJ9_Yv8LPe<uje_;28cVy|CmiOfv(M
zLCTCZHU5TDPR6}Q;SX}M8VtEE7t#*NqN2HNHwhhHKNiOFN>^@873y*83$BX6=_(7o
z@o@UAFh$nN={F)!ALxj$_y09Wz@bk?TF1eDx@1huJq0$YqNr0`gxBQ-EU5DF@f8A8
z^n$Fcd&Se}mUPE&a$N6fpptz!f3o8P39_#wkztc!yo&wQP<M2~p9##0$|+eE`Y{j%
zg`B{2mJsyPE}6Wb+$yNvigJY$9e5^E(>}%@bsq8%Wa#P9P;--T_-&A!j6mNnsbe9)
zrJfTDmM_wi6793JITHI}Kia0qI3(19=nxSm;u(0e(03D;qqLN{CWRJw0IUTac9I)h
zkaXZ!AF;ge*q`A1^T6#;=8Uq2K2|7&X~cE=#j{`>6u^^Ww_s&gscXzyH%!=S${D<^
z9Lv<ZowD95g(sbJ*tqZh5c429BCQK|AeygM%1GZ>srTj)9}%DF8$&~L1AuMnksyM7
zhe<Wx>fm)+xM4R3jvYnSSC+}w&*M9>5jqd<yj=Ws3rDC&Bs}_Mx%sf)#>1bpd+hbD
zK3LSE;{or>o^97Ebq0dqqo>Q3OHp+^C1J@qwfAXWd!dZX)CABw*WcYLnp^pXT)%9`
zo=K18>ELwNNLFPyf>h685<J`ZmBH0H6pjKaP)P)jXQ$(Hg~2ZlJ0Su8ZLTS~6NZ)j
zgSqq?I3#^m3uI1x22h5ooer2|0WS~a_^_+R4-TBzR2T3DA}siUcKj7(@CqfWRV))n
zV(jRAwF;@)Q~uyXaWB1d>*FeJKAz5g!H}W3yGwd#CBSDp;&`lgIoRW?o_^ESaG+If
z8s_FG3ECCcpkn8c6sib_AJN04e-V#rSL4x;W15MP44CeWuKWvg6cytI_t^1u_0O$*
z%qcfD%D}nWJCVGUsdMykWbjL3a-xElSUi<MLj4rQ%GNs=69|9@aC_QwT;FN3(Jcp7
zHR{`QTF%}DH`BoVcYmwl^|tR@qi{y!A1Ae=mx`3}3I$EyQxi%TR{yYnKzi*bo_t3q
zO|?{(2rTXGp>xCBbf>9sx|O7Nl<pJWztmHA%T}V2p<&7Y{i}N`M-!QYTq|D*skr^%
zd<&x#VU|JU<JU=y(H#;=`fVgum)5y-o#RLDn-)voV3ZrootL}O#~9fDN{)kNGDUa|
z9o`eu<@ZB^7?C==%w3AC$Y5|(@8=3n?p2zZf|p*VEM|ZboA99Sd~uYLmfo~3R1W&y
zU)@*V%2WLpaZ*Zw|In>9yAD%ar-Bb>tzmXgSlQECw%8O^M$7{_wxToyjK|O-XtXBJ
zb%9J#?`LH58b?jiDLxLJY%#;%l=rBvBpA3EmF4A5h>NBqn==Jo(F|g*BeA+5muppW
zh5DOY87*~!@W&g^EVFHlk{zi?O1O#fcPWx+I>T`*Q+dBE&{wAFo#83Td~vUueaZe!
z+JML5D)HMQuc4~}+xe^?{<sMQ-pFo|hx5Mvf!O6kV7h%JgeW%a^SQj3WDPp+F@slD
zO4mykJCmQxXJBOzFdtpp)5{<u%(0F#aKx=}m(krkX<ynQVO?%5M#MatfWerSF$O#f
z^_G0Yx!|L+B$+34F_Iy<A~ZGCw((w1wj`3F%^=&D)^%Qu1%6bR+kSh$k_-{tB)pQG
zEJS8Na?Ry1{?(J}H=XT+^I|@tHz+vgf4h91wPI5)|9<NW^8+LO?;}!DffvLwmgRdn
zwAd|FLbwtY>(5i1++4V59CqE9x;^sZ2-zUbEB-4tR5a@?jU$l5WXO)%)2XBZ0>mdC
zMhFzrbdWx@WJa;Fow{^#IKOSKAnn2meCcTGVR`XjoG2+dkCpt58~O&D-)GhdZhtN=
zZIQE8P*C_`ZQ8r{wXj2#G{K^*=a)wOckjb)Vco_Qlw*~B%Q+YX8h*BZhRHi$Tbk1F
z)xf<f>WZt67xp>$V)teSZQQQ9oLIZWI>S|V2OaHQiuZWvsl)V(6whar8UBa0BdO}b
zwn>CZD%qRJEQUJKjD|q%numd|?NailXAjR>3Tq%QcThEP(0k?EeL%}_ao}rQGF&u~
zd?<eLRLJ>L<B@x0JY2-OTR&^PT7?4-B-1|SM?Lk4_gS!r{@ivovW{BBo5Sb(v?;k#
zn4|nCJp*!r%!T*OW3eLP16$9ia864^If=UC_DHBK18=6$%yfZmqsYhkfOnz;-4Z;!
z9EPVJ?e+Ft%izyEB_~u(O^xQ#n~-{vq>@u^efXL-_GtHpI&UA`TT_7fVYkG?fE&ZN
zQME(zUn_B$UWoBGzY#joaJwwR<Wsz|HRbXS(d1BE)~kv=RCxH;aKrte({KkNt~;Wh
zRcDpHEqqJuG9{<1I8DmTzuliBhWLp2MfqlG=7C1F>(Xjm&jkvyM``Cg@~FJhf<?=E
z;*Yp@7YjSQnZ#*URCro`4)NXE&=_h)84{|rEa(lqTTk@do_p3a*BK@nh349L&23>|
zDP9zEZf~YE!T@#dg?qZwyva#6KEL@)L91nlM54%nUW?Uhd+UXim9>PCk+H*7y@g5X
z1jhFchoT1wx5VGNeVe_jA~e2$wqC>Qbl5zbp?32Txe-zq?>gDZ>y0G$AKWdsdZKtz
z-jWT2ZaG-SA)PTnAhxD5=6D;*BlQzpe^z3Qco<9jzlz7p^la58+RYJKm-UpmAh)-x
z9DjQiP-V3?dvEa#jX%iu?40Z9?BU{N7qb#nQ9a~5l~T~Iu*G)Z6YZ@b#6;ri9_@|r
zW_lQxyGoo=c6~IJb<a0w!=X$tz41=Nt<AZ8Zo($XBIQY=+h0D=-o_W`Z8y(KwzpXj
zYyVkxnN*JnuXhM_dw?WX_^jZy-_P<^+h>1F#D7qL+aNnR$9+Czo~joeYlv#8Y?zwp
z$V}H=9V9fwcZ3tUyjXhXo;|6wL_2cmDD{qGS5(WF?Nf@e)WK@`8NyTIU%}HLiNPU!
zdbLN{{dRe@cdBa>pTUv?>rD2hg!Ql|b*7sekHlw^B-vXpJ9ry0Giz@G3r@0@Rf+DV
zHKwN=(0CV8J#~y%KI2+rkVkf)t52Wog^2*k%*1rwNS(=%NVDyib8ZtdE|M?aZS7EU
z+~#asL1*v9T`DKSuBG#^_T{TE^Ae=@wwEn&^C)M&eIdCuo0{cab#m@~ZDvO{4H+r5
zGyi?3Jbf~*18>%ab<f3DEuMTsnb-5EvYKjQ)92>{ic#y`IicYcWRazzhqhD)cEVoe
zMu|B!8ZEljiL8$8@(ai_kDMd(>rnOhnSxhs*+QZUTe+94P~7%s_}BJpsEr+~oRBH%
zPWO^=QWTD!lO56}J{~jrA@gDbS@zZ7bZhGiT!SLE2kyzLKb2Ye=w;vdxvLSYE~CwB
z+fAxSvCE09oSB8w?0Q_4&*~g`7K51J&Zf85&R7<4e)vFi)o}lk#f;T(YL*r`GSlnk
zMn+9ul53DwRAl76N0k_>zGhKPdA+M{Bcf5JQK2tiEu4?>++OXV_-v0?o0%S9bj6gC
zEWO+=a3!pTP~}~R{)eAs0{c&jq)eA)Om7oJ_OwcfY%eN@PxJ{5hQHift_?S{Qrc$R
z^G;?fVSLZdFp9JMFkJP#$C1KKuBIZ<R|`=w&5hWHZ{j4U)nawKcfMzw#I4ajJGryQ
zo9!srwdtcwPe)77aP|6Wsv2dgvqc-PZ`zY{mrFU@LEyQ_;77AEDU$CqFe)+LPq<Zk
z+Kmj(4!Yt-7M>KEn1eJ9l^?bIK>LI>kDuWz<$|mDaOykyQDrK*Zci)qL?648Dklza
zeU|au{FI9{Os;uZt3e!-#HxVP<FwA^cFB!Kv9`WNX=`5AYEj|V{5&5YHf$PSfHnSX
zli18>lWfl>QiW&gMMGq3+LYDY{HPau6eWS|>2vU0{i~jp%N3Hb5X|&6Z4%cS_$=3>
zY@VE4ug-NWs}zat{N>wsy`?y#&Xv>T))lIt2Ak66ug`BNSRY>RlT`KI(YchP%>t$;
z-flEB@Jfg1tgW8757VMhQ?33U>p!C>Zp+)FL$CR7k`3g`nmV*B%rJT7zx#FuZ;nBL
zRnO<d&NB`tGCp<;S~8%e+tGy&l8=+l+=u4oRQ24=NqlSGW$T6WDk)zm`p}OWZw&j)
zRSFN88imQu;kZAT?uoQAO8B5Cnoq;0xF{@6U4mrmi%Dz>&&Tnjn^{G{L+IRZN2h;b
zqY09E?l8J->FL?x9eOIpFj#(cE_|G1xE4PNy^wi$Adq~b&h_qjk!9Q`N=x>`G~Bin
zj3>LN9aAc=zt5-_`a0Bgkzp`1cCYLw*UZ6}gvJ*x?eDj7{Ld2X$cd%6D!Gx!i&B=K
zUfJX`Q>m=si&*+N8`AvM2yJ?ca$uxS!gPh5&)^YU%}Q(?wYpu7{mXf~y`3w=N8S$%
z5R?}8!~{7*=GpApHn#057@w^ZL$3VX*uddd5=L}=l-_RjvbUA|RjsTs`tLOpL{!O*
zf<!rDCZaSe`LL&5{QU?T4%lLU(kk>^|1yWiN;1Fmv2(6^wI#iJ{Zl+SNdd(ZhMqeq
z%GB3IP5EM)ziL(I=<o3J$25xyn8h);(-?lZYS5Gck;Q~&_q4;zi@`HE$l!91&u6aE
z*devJq}Sg^Fg37IUEewDA?mU-A1Zsh*G4F?uT_fNCd|Xyw53jkXJcsXzM4GJF-#r8
z(p(aonZK+_MjwkCndTGc@GfQbTm38ygq@!A$myOFrGrCl(V}9#rVPQ%@3WGczoy(;
zII5q*(M|jUX%f>IWb^1b56!n^Rt9><K>xg{+6Q%SC)5*n4oX7KC20n}@X+B=D_Mxo
zfnAs@DRvXPw`d)!L`vL#&tx?|J8c(JN3A%(cZy1O2XoNcoZD?oksxb_Y}?yDrI|pF
zXxH_pko533G|3Q(s}n`vzAl#mM@bA&$b`vWC*z|StACRGZmEzqr9LCWj-tUWXs||Y
zBquop)6R4690LPV=aI`(4z=YFn_b5BajFZtWaU?T-`}^tXUw$BB!_ukrDf-2&s+#c
zqzDx0Vay88Gw3kiMmM+FjnWN1VoXS3oDp@^z4m+jaO%T12DpK+7Prc7Z}TTz=-6}3
z6q5elhWPBAMb>5ew+8th^bbG#+$)(Wmn}12cA5hMOP4CCNd~IyPq^RI%*}~^J%4`d
z^Vs|36?fif*HjyWt!fgc3!T|eF{SOf)68;5uzi$&z0bGuO3*Spj!2}=UYt@UDN~e<
zsK4VgXYAw2Qlh9-u2US*Rn)4OiriPLHWI81kG~S5IhYLSQ!!1hpO7SWNyU$zYI0c&
z(=zZ%Fz||FbAGH%BnDNRd400!*OrsJB&i`eB|lxoHM5UPiXI5Q(;Y$$-nkt#8u9f)
zq9*sLtYX<6zi^jj5bbHi2SzurX9&Pv_p9#and$LGJ4*T+UV6{5qfBF}xtJ&#wcsE@
z5hj~;!X?iY)sv8}nmFGrTa`j}64vg}sA)!6Pl3zlxsK3KxnPE~th|$bsh+-5s@?$=
ztQprgR5di?<US-;+gplRO)pBER}Kv0!KM3%tlsGN4WZ;?K(DX0?)O{jHz}_L$UHC3
zuuyt+#Hr0pM_8M=$0V8B;IpL7(A<zIKTcQMn`d6c9j=^LB{Evb6aSOZ&9{vj<+$^4
z=WIpmTz5A%kgt!juoH3+c|U^RL{Uz$dD~GP1R~|IH%OgX^>u4q(I?=ONrnr={dIfO
zak_JIKf8P<(_b&TksW&9jMhXy-Bhc*G$kjx_~9W04=Apfh?`=0@TR8Ht=t+#sfc<^
zPz)EZrkK3;pRJk~IgsLtq`9OiL2av{9H7@OYPfq|^q#Q@jd0#)*0>&YZ2g`aiP5PH
z8|!Mj)1Trf_DbW+qVcpGIX0Gl_CFsfs>?p~nQOWfSBFAMwD`XN=sGjMqa7<hn!TB^
zZ)wMQfk-{fal??lxrVTLlwM+#P(pXM4=$nPULAEsTUC2k9}%Lx)mWm@--A0o%hjp(
zxvCCJa;p(<sKeY?nm^5o&HCWaSwF{!0vD4fS2X9(-_leTHL3rJx*T>Y5*vl(?{@Rv
zkXbgeNc$?PQW)mVsK^~ma*OE6dx9lTU$G(Xi@rnX>`N5Pk#a*iI?U0Je0@*PAk8Fm
z-$;IWR445iH&E*IfHP7*PoV6!W^Fl7=7H4D6`jQCd|?eqlUknuxS?U+^)61P#C=Os
z#|;C*W?hk>*|c}>)9g3YN_3S!@_?SB4;>5LLf<(8RYdz_)=bA{dW{EPvTK@yL@4fO
zZeLLse_ZD+zNQzts>`l(gO!;1_)z=`$;Vx&Smm;vjZD*xq4I;0n6SWV>4&0G>*RA<
z*b+vA<ZQ!_1|cag<$%HPSII0K0#2`uP$IMZZd-iIv=^@0-umP?-t+DK<B%MoE9wdJ
zyrjOfBPbg0%5|#{N|gsXj_&#z73;Yg-!my4{R{bB%6bA;iHVq)>wMhDtlBo7S*(ta
zs$?HvB5NGt)0>B02A7h)xk-GdPSN2JgEg<2-^c35+<DuBn~YNvPoMw{Q;iVB7>OU<
z;ErYYG<%D-^j0y5n(swskoGo<zF0NQaM{q<K9DdR@9|Y*kh?_}V7hR=o)NE7Lx_j;
zbR;6cPCcw^uN@t0vtCWWXB?XM&S&p6-u<Sh@oo-DiwJm=<DoS%@o7nY{m7UHw7)h{
z>(r)$cVo};d+1v|QJ=S2+mL#~FF_ht<={^FJ8gwf;7Uxy)LCt=N3y|TE!XGnHz6y|
z4M2%H*V2=&IP=YQ)r#4D=YA=v9W1#dLJ_aboqIJ`OSKNGC7&=tZKx$~jm<a=L&o-b
z+Z)rSQ|~h~us0c8N4?i8thU&j(X2YeE`BPixkjb>KH*CLvsG+DKt3i>;hJg|?#kp@
zo=3Wo87@?FdtbnR&E9zdFOPa|+evVy+N)|qz(pLHQf{pg%9<DKOTfS+grRMidW$|o
zVxfYel`XePXC-XZcmv_I)6<I6VA-frxn=MZcbo0>iSgZR;$;Ml5Whmpp#CdAKZ*xw
zjcFA`U!zxto;e5Nv|&mqNnV*6S=PCVTL08si%k#=sl>2p`0iD9B<0|1qBdk_^haV6
z7J4^C4%y!~BjznnLkv9+rDCUJWGcUe9(wNAwA9At%d)c(4(OF$wJNgaK~r}f$Bj28
zSC(5pd`Ocf>J*<5Ma@IVrM1>Jq<=Fr-7`bw>c*7((SB_zwL+Jn+c~VOWr4kO?t|>1
z^On49wRA0Bo|a>HrgHcPy@gfdW}jT%I65zfb1`q^T?gWSOnXr~S*eR*{H!T<_QY$k
zt;Tr#02zOcon^G8c1@$R<?jM={-lIqPfQb@(4!j--^bof)1Dl@&(6bB_Eh+3vX>c^
z%5@{}Hgu6iplF)?n0S1oQWdc(Cezez`^MH($~0=aiEnR<!iZVJk)LTx!_~T=cc`>?
zF(f*Yjqi8iX3TJ{hMLJ`#$pw0MOG;!Wyb9?w>JFXTup<_U|A-2wbyPH8OQkGgmU9o
zTI-$N99m|tI|aRypEu0VRn0U6Zo_QPPTgl0eZJ;K<}r7FDn*2xgsUd=RHU8iB;8=^
z(uL@#BZ-JYZbqEIH|$hi?BXph4{^4po9{9@TZ%C7l+tg+y}CV7v-L7){Y)6)`gV1O
zVMwsPTU{^f>GzixR^{CkDX<&<9uXD45Cya0>EvG8+Ds2aGcSB~$KhJWl(PMGKg(eh
z?e90}_K3s6dqt)->%p9y7<6{=)QXDYg*P}I&&l`Rttf1b4)g|Y#VPxdez{svOF?Eg
z%H1thS{H&L?8UhksFa(1wcWz$b!YC1!;4XQtrlryI?0`bi3^W07CMgD`q`F(oFd$w
zNqq;ij3;9I>KnHSwL8s9v*v3)o8@md>oP<Pd>CxaemX%zMU-Kkn<aw*gRadyv(@k6
z;wyUlGkcv^N~D^!ByU6d9>WG=p^R(X$c55$xccshe0&KWaUTY~8WFL-({RN|5!>~P
z$HhNV{y8AOVDgYlo6wh=)_R!!@Ry#ei&7rt%`+Qnm$}Qd^&RHZ95&gdIO=+9M+zOo
zpS!c2{_OpbgIkq_gH1yW?Ul-JDz?gat4l6dChx9tp3!f^{oa%6j&Cy-!}$bQuYx4X
z`}53{-wW9FWXl62{4HKl^+Kr{+%0=EGj(S=`Mc>zRC3*GKQ#+#a%f9WHP2%-I^WH`
z?!uo9{K?rU`U0?#1Ab+t$a;@Ai*wQp-N#kwwuxDuXq4n0Bk7G+4bj|>V=N3={BD@3
z=m=Jp6qBfAo#ECgg5O!{Uy>=iBSkAto@oEph{hb?{w5{N<Rpz#p}s)FTTfltBn$;#
z@Q6y{2>^3UEaIxJ{x~yGKKShs<>dWlLEQ3bcE`@uG2fa-FOwd%ekA7L_Opf|I_W@8
zn#0N-ifdO~#BWXEs&SOxQ+=i3vZe0o=o0cl4p*h@u<)haYe9<p0V5vvFMdd>eEu>-
ze7Mx-DyHCOn9(I4OJgn}XNUC4r<!qd`Hc3Q!Xt>Lq9m%~ilX{1vDh0BSkp%Mhyt=e
z;N`w`%?tqIN_%U(`RikA1ZOV!m@>#Qqb*hlQTPONZ~LxH!BR+jry<G+HNX}2DoNOA
zgTX#ZZd{q~vTI~0MfUa<Bo}U;Sg>|XE)~;I`N2v|wHVTr{zUH5)9XB%^~~4F!b))V
z)e|@R)rpG|V<XCFnrgjC%Xz|I=@A&-xO$}gQ{!7e#z9hx2+1<<jHJo)_mQ!fzIcuC
zciimatyRVg0Cat?Aw-kLIS<XXUhQ45Dr~eSzrK^<>pu1|FLDTN=VGw%t5u3F%#=cb
z%{f*7{gZd^XN&yl@=wlHS2~@6RCiYWL^~F{I~?2Se78bIFdX~MP>jS%S#(fnb}7o$
zXXg~(bv4n!S++0?cefbpK-a?Hdm_W6y@WEnFAGNH)%hFIshq}M3><WCeNR75Bvv8|
z8;GdGG;#V@oZ6bUa=z*Oo_^hm7#-Fao@@Y+<-zTxN%sFo)>lSF^~LQX2uLF_APpkj
zE#1;30z>xzLwEO3Lnw`uAT8b9AtCM1E#=TLG~W5Y?}xkYx}W&MTCBs_XYc3t)cy^v
zl8|_@^?7XB8#!12l9CL?B^_OB4{9CnX{fL#ZTwyK1_w$JOuh~-?ge;nL)~b|kW1Kd
zUEJ|3H~Iq-MGT+3oLXNZ{SnHJ8%xSaN5lC5cq>!6SY9Vg%Km!m;y=#ShnA**AMmO8
z9I+zSS||4Y)DoQqpW)rdQ8B^{3H)t0h};PuL;u#@toMwK-;BtMx;H-?jqOQ^i`6u3
zVWxx{lok2E{R}~t#)bJ#3vIZgp`oO_d~L5{&qqV`4E<!0%eLPpVz5<VeZ<k2s!vx$
z;6SuK>ayRWIIvPqc>T8udco%#DNVjQyOlP{`My=G7|cu9P$HML3G(%>mGl2~+qOtp
z`g0M$kc+{<l1H4B$AR2^-&ZyvpE<l`V<`>WAKhLIbnIE{iuK98rEi=|?^Qn`k{`Su
zMn&?RC@38b$n$AQ!bkt<2L<Mr$bok_#+?0IyG5xSHZz_PH_73F9^(UZD(MWb^s}Jb
z&cW-*C&1Zuu4a7mna=p7oootI*`deiaxL6=rBKiqW_^6m@>}h$HF`oJ3rM4((YhhK
zy){$s;YN@|v5;ZuM*iYvLO-p)vAS0HhwGdXjY@F%Ig&FQMk4q#B!chWa!=go<{dK1
zU;mP^K-xzRkHn_MahoZ!m=MI7Zx4wb#Fkl%ED`*Vl}ZF~qHIq7db92h4>ZnU#b;>a
zHA9HRth|c$DwfL;KM`V}F1}>eOh*>o_zk;Ss`PIaU2Jb%|L>!W=i!$9aSr~S{K6i+
zGuYbImFK42V*`?d^G$qo>ND6+bJ6;NII<y<d2=T{S{-Dpw>t@qB7skfLfuso`F;pi
zWNAbW1kT<ULF9U&(FuK)hq%5pQ<NaTMPOs@i^FK_^$05+3m?6$D9s!OtBV~Z-}5Hf
z=*W0p#IoPFvMEz|-Db9fci$2n9lVzPdolMDQH@ILtoVEP0xD4}ZF>ml<Y;^EO}ogY
zNDL+va4CqKOl+?qxSU#J{w?LMBG>r}BAw(~YsLb(WCSMLsRh=obB0zR3QmGuQ|xe8
zLt_&71T+s<i52BHQS=8q$AA08HcGx6L$iMv7-PSY*R3x;#qRF??kCS?`e1J*m6BZe
zxyb^Q<61^4>z-;~rL8{d^*#>5zgHh<m`9XbhlD*YK?frnP<$s45nPUlpwtVZTvgj6
zmmZxVhH<YT|8j`G-w>K%mcKI-Htu>4EA?^R-#f}tedj1Qr&w1=;^FikJ_@871ipj4
z?QcS&*oAfD&Ax2seru2+l2HoC%&Uhs{71m(56k4-(v6YvHcE3*>6ALhyJk*2#w~gl
z@JIr&e`QXMFsYvN61)S(At6xgcrxx!)K)JrK}}CJ6yEV<eX>hlM|0o5=f{jO_QsvS
zj1<R1srRU=W#~Eb+Lb$oN9On;r>)5X%n@J5^`pK;BxjzYgVY8%nOt}~Rr<#AT}-s(
zOI*Jf&AEp_+T_JHelJ+Guusk|{m_?mQ4fFQLd75lpCk7U<X9uk3IREvA~k}mPUyS%
zqPN1fE)avbw&s2G!6%?sVV@QH7T>ft2DgMre}Ru%caT+Fi+GoZL%32*#DT(~ap2C>
zpY_UiLT6kCDpQlPfpJcP4EE$=t(<|SK_H!J<UK2raxqy#er7toYer(VzYYyps_W;E
zVzW6AHeAjK4w1D<{nM$_=$ed-V{u}1Hx&kJ*73V$xP6T=Vs(jMJEh%f{|Ucz^m@=_
z>ECX@1)TFXzD^6ftWojP`z_ZIW|b`6x~Vt!`K26GsMXvG#I+<3XLd9GThp=8xo+2~
zg9B?>9-q3mh`*j_tQ8$8@KLqmBcFc^iSGVG{S!tk|DpZ{uYbfsBZg!i$J5Lov&dF6
zeM&#odbc0&F1*|lc%RwwA329)BZ^7ay#vTJk8>R<Ge%@`xaZ1LuGEq#Fa0EuJUk;j
zQZA1BZU5E~1SIe$JzDOjx!N=HO=<ji>1#2i|3D5!PH8c6w$7xAOKZFKkKx)YwwBKr
z^7p7}DmD|c?GhLB|LcA-nJv31P}Nt@Z@{5WxOyvP#qrJ3orDM<ZvIQ3`5X^KoS>2)
zEHy+<iG<!#X-2fkzDmyX9StlrCvn$X5b2jgAB*?_|3RDY3OH4yCmU-6&xyttP>igI
zlu%zJwo%hy{`B*n4VeG3PeK?et!(z~ysK=Q9J-t2DoOb(kD#_p;WBni4J>)=+@VX4
zlv7FPlUEk;Z0P1o@t^s&^t^geORbWw1JBznSk?be=cspIcN2U+kJ<Pma>NnH3bW<X
z0<0}#uFhZD<jnnybFReW#WiwQMHCin?H~MOlgCl33R7WasnTKxc^ND$KV1W2)AXhd
z`wYxa9_lbJ@m^|I`hZFUn$5TAuYZWrUVb*Bb>Q~aU`trDCzS;pPqNiXcJ{`!d#NC2
zy!<Zz7$n0m`yZDXy_RKs0!3|8OCI_-Wm7*ZBfXmcJ2S_fN<^kr4f(r1G&Ec0C&oGX
z|Lw~z$BvwTfnXCyozvk!1H$X_k98r#b;@n7KX;}Dayi=@QOjL_M(C<CA6WLM6rVYc
z`%%A~wPtOI^+w&+tyKO`s@iI#!w~@W`8=PlIPF+PT`$&88VIOI+khf|Z}o%pnAqj4
zI7DsJ4p*z32=P8CWo{d1<|-6o7t)vV1J*7)FG`KF<MONAp6tMQ@t=5L`AJQZ_Ho|Z
zrQSh*GPQWx4Z&64(y;ZiM!Y~|8Z_Fi8eulzGo-x)sg-yYpHH?NS$L!BiS;AM!ETMN
zeZ~ZPXj~}`*bk<)gqQX*EdTMS$v$o{!!0LG7cye+6p<Lv>ugW(RxJWa;(T*>jnB=M
z$^qfyn986|PdKze#WWuA6tYN<{^*m$ZK>z_KibJ;l#}sXLX&~NYHzx_ISr>#I&cYi
zq@6!#!wTy=ZYgARmW&^3gk{c;;kfvFb*j@Pe2;w%%Vvjt5B8W7Jx{5`OW@t|v05|p
z`PF${<i5ZC><=9s3o3a|YcO<lbJY=^NEsY4{_@JshU%9i<zFJ?_m1<>Q4tG~*Aln*
zzW^OZaq2t%Tn>6qdjEL{3oGUWv|894mn%g~5K)qbON4HL{{J)k-<eh8>qLwdaRx8r
zB3ct%4L<!T;ppG8VNg!rwz{fROD7UNbhb5SN=J@cFJ%^AUbF*iCHD%FMm4LutcN~W
zeI!~64?Sog?cibiw0&K_{C3;(o<pD--;E%ndIJ~5t9X+^ih>12v8|gpSM$^R*G@Vg
z|EWZ0&T6rdN<_b$NEUne>YLqY8cdUFaNy}EFw(%*(Pm1omdpcv4Nq9h7cD96eig_3
zbEa?z2T8~CJJ&uT-{@%QCGLMr5iRDq>pH^H<aZjrB~m8myip`nob^UdAwh}EAMpN1
z&qY%5O;8UaOt<xIyQQRvR{knWp*>>2HS#z$ZOp}T!&jE4iUTPxHP}amfY?TLkOXyM
zw%*(w-FcM^n8Va>cJs{q1s%MX0X|_lxF0Bnc%vjX(K|HOi`=g1j5&P^n-$>1P>x(*
z@<_R{3aUuCd?1ir4Mfr8-A`}BUPAaD4jGt};KoLi+urIAaR0n(3Fjmly{|<8qQr<v
zjZ=LBC*<Nnd})FX3*@EY+g6F*ppE`x3Dy;KWe$OI!IQNB2l%mqmN-2U$(shczOv%*
z1_>fZ5KT)qWYeVq71uK1e{jhI@2fFWSEz`DO@^{eYaA744%B0g0!h@skSMlE_)tQ1
zpA_?pv67N>;Z*jk==oUUt+Q>pQ5}}IbXYOSpG?Sq($5CYd<BewA1_TVKWoo|EEx4m
zbt;v6V}m?g(s<8U^4?g<j}pIre|P!=F%n#Q@t>AXmeLF*p0h6YX*~nRs;lM6_7@ap
zMj2Wd>X)&RCdYloe0eQ3^^yDAU=btLWDxDwNLeEFT<JJhXRqQqu>_m^dC{DWlgi;q
z^z*Y;rC3O4_bYq7S1GIge83v(*hBAb|Bzs*Knc_89i&8zb#_~ebVMZmUq?g`g2VuH
zUKH5*BPd_V2Be3cVlG1{ge346@;T1`Qce!}iMj!Ed`f19{G8ms6URsVw3_0eAiHti
zLQjy{n(nC60J`ok$wR++DsNJ+)s5;Hcgj(75ZG9{NYJwcg2Rz}977ZPpkHCN08`WO
zASfwkesXMkGB-%v_iWI|)T%UX#1_@VtnlIt|H81PBy8&Ly`ktL`rFrJ{5Onr!@2!z
zydHLUScaiUy(K&{wM5Xse;i)ob-WcZfRCxUhcYbXa`kv|)RHY3&4=Z7?>THay3Ik$
zDN0q>9Zig{UMu@i+7+IA`zJt*_*lM)^;*oz{mW(1eCb!vHa(D*!pfoxMc+QnK#k2M
zs8uW>E90Htp-6LVm!IL8WQye8F|o{frno4QmRi_Hjy~mGSV*~<odJeb@2IY{>?*=-
zB>o;;+VJa<?NzpAJRTQn6>U*UfH@e~)Ngfj6S?T2UN5A<UCk+9J8qo#V~U)_tj^bv
zNa)BUCx1D6)2YR$07X2jMP`1gDjd0Mimm+8qA?P&&PqdmTH@sHb@bzMdzLA3DIZc<
zATI|mPb$r<<LhF@_{az-rF;z_dfF_13bzKCnF_%h+F~EF*fJPVE^*_7>Kt+jn^}k6
z_&ai`RIg4_+jWV=*^%~g;wRVNJ8@TTw*7jLFYY@Es~2g%=xS0iey{jM__9|5N^gwT
zlrTZj@%a2=UOQqyA;39(p;$Sl&hn4w%*TdZmP(IL@|rXN(3TYy4OgctIZ;tje*prR
z;?wzXGTGR_K7TF8mF)UTzNWy>Ds#nMlwP&a55!4AQrV<6rcS7r;)|bR$c(z}$c7<C
zhUa`tp1d{9=ki_^%iYdo09M5YY3a5J$N<?Sfp>g0kn4lI<Y>#&7OA5m)v8t8-*XQi
zJC6~Q5NC02v|Jx6$+JQQ8Z>w%e-Cy)xn1o#V6b1os@74gu?i~z`B&o$hSw9+m{YLT
z=kV~EKW#xN4CJmu)E2agcTYl)Dy%vtnB(VPRdxuBd}B}14JCAH62O_9syCGAP~KoK
zy3Zzi!r+Mu21d{SE8P@zPccLnetl0CIq=wiyHi*5Js5Kl#rM~#{hRR~9M;^a#tG19
zbaJs>RiKu8ZY%cawfYuJKz)G>FWR^tt62AfBjvyOW0Ws!xjFqfgEoRdFBKJmuoV$E
zrUGwvxueAY!kCat;r))zk7(0v=GBsrBK_i#avUXTR&UYg#=-qzAuBvI#pp{l(Fe$7
zL}g8elVm~t`n@45DU((iClZnSIG^rp!7<n4*n`$xb3oh=#_sB!9PvT6LQXCE%>$5q
zO4n0GGNRIfKzrBLKm7&g)nj!>Y3_h%u7-M#-L>rZ^a=6<hw^6R+6n#1@-4fG>U%?8
z@m^CAI&AZtDmk*QaJhSSSTyqo!b^-uiDxl&jf;(hCR4g2oT!n4YLehv%oF70K6Qz~
z|4F7z!eqW@B@ImN9v)FGt6!B%EpRHEkY*7x0@=!Ul62Yy^cx%Hnw*zE=x}8K!i<1q
z2t9CvBLbpH@=9*tR4hAEr~12WLk=-*s{t6YwuY6M_;oX#Othr2&P(-9?5#oHE$Q*s
z-KZ+Ug;-2GF|vrypj<E?z3hX`$70e(?+4>sM{fnk`(!oCC|qL?h}~$B7gZT+$m?=+
zEz?mr4n!j~9$wVXNcM00G>h&{cSXPC*tosa-BI9ufViu2rSVO`s@Z*jzXqET*;4xv
z1z;?_rH*|({aB3K2!yomTt|q2+`cZb8g^9Z{(Sy$awuRg|ImN}P+yho!aVW^_3ZC|
zYUd)mTa%qqm!xyfbZvE>K74s+2P8L6VHfsA)ny>!GRioJhsIc8G=JKyB4<y?7B0~$
zxdix+c<Ezs6{6F+>B*Mpv=#4<8sfS2&DBm(#xj=Dxtqf7-2e>xiVusmlE$7<#wiO!
zzV8~RD#n==?}}6ogKn>Wy;&Z*nBXA6WTvkj;>XM>J9sbf+6|VzAj4x7<aL3vZHdPn
z8x=lVZB`v9k@*`trTxM}Jm*_k8g@{U4Y(N~(G+r~DA97{5uC>v8_i*_Vmg&uO!2J|
z`^gn06T@x#xTV@t=_>;)`iob;sWX<{QhO=uW7XUE43c*vu@(RppvK`%yX3kAnT(qp
zl1{msp+a&iFHl_Cnj(;N?qr*824>ubH0riCz1x5z5&Ga7kdwDI^5fgq{Vz5JNl6W7
z{Ugc1wKFnkL*ck6Q@6IaWx=rg+rT^+7t3Xlcf?WqY#&7#A{Q2L<GkIpKr@nMPjFgv
zE#F&-8@u=ua5bo`#XJqfq?s`4e6&l9cnh^Z9%~k>dSO#Q+D0svu|3Al3oviEbT(6`
z6m#`d7emtp)M}ME#*bQVMHbO%%&I0zoX#)(no3FO&fdA31;A2+)rISpC=LaWswBVa
zHZIF&>PqynlS$6)#yO4O)YLnTk85J@RH=VQky`aDG~fNS%dz8doJZYa0*y%FTxL-T
zfBTT~s`wdRwsF^;qMEn*Vc(g=QUI83pxHR=r8tL*K-UIoZ!M=+xWfdSVAE;rlr}lW
zLh8w3_58d>R+^!<8;!DdJuE-09;??FW5JByNL}|&Xl%!#E)rh1scg@bpzSq9>=#Te
z(Y5L3jk7tvHtOKH*aaiLH&Lu3GW+*418f)FYy0RHy{%nCbQtz+s>t3IM7)GpL34h<
zOq!@?{c97ze5HGq7PfA_Z)Cr_{*dhXvpU8%SjSn@Fm>fP3ywvAD%C4B$kd~UW|1Vn
z%>Kh)T|h7D7{qKkElTe!$YtTQj9nj7<+}I!!|b#qDE2yNFOg62;W?}hp!~^|+Tn)d
zEy5%%af(<vf6bZ`0xkb>P>9rK);iZ(yCkRfOIaRyEx5^^b8O5>?(~4zc}#Ns`2jwP
zJ9tDdNFO8|GyYAA4-Ol*G=CShNqll3l5s<;Z2E6RM#{cOI-y0PE27jzZK}h7EUzh+
zk}cs0xVx4K=B)xG;<fB;!5{)wU3PdB`B<4R`)?VPO=v@PIVzi?s!7@KxB;RI(e}Am
z5R2Nb?gk3m#75bF)ZX>nf5pY_`#Sq}-ZCHQ8*U-beCLgv?cvEHa?CGG=qxL1g@Oh`
zfN@w?>JOEI3bqNR^GuRyzrC8@jsxV;ATFLtO8NWilvcao+$Pi_Zt24{34y&vG<KkM
z{(yOVk4?yzf4vGkf9cwj=0B*zwBtnW&I<L94s_Ozp~mJ@kN_rMs-{*5UbsE}b(Y+r
z{pY@($kV&_9e<VP+I+_Z?FV2}2>3OhOmfV^8`vAu27==nX5f2f+0G3qbQ1!nuPz(I
zsq0N1Gs(+AEhoMfXGwIj?%)}!;!yqk#_z^?E%he@XT3~jG#vNytveQjyo%5-f$z;i
z4lbvgDFYRob3A6yxy&J-+jgZ}8aq+(S{sn1Y|SQupCwtflb64VGnKNgT4Cq%A-d8t
zT9BI=2)ikv&O}W@62+hPZt7}5bL@+V?gHB(RK3%@Utw~xl`#qW31*9SV+?0GOI>cN
z@^@qx616YiYaGm<Ba~njAG2KA>KzdgH}o`U=9N)tMIXZ&;Xmycvq<*|XrO4YC++t|
z`8y~-r6XIHu;SR$lL-7&os-%GgOC+I-P-&-sS?6Y!4BRQO8j7GH8W{MHIWnqT`iu<
zCw-nQ+12%Y7QTuO`ZvVgV1CMXRnrE62=cla9gt1;_3!(xI>CdqTPf*}@PMe!Y>!T;
zU9`*1I4MIGxJQryd3o#kG~_~DK#WKtK_Iez`ju(m`Ovn@f7dpgBMaHiIpW-qjM)Ec
z^;@@oidrDF;!Mm86)^)42~V&cO*tH$&Jz)+F2*Dq{7k`XWu&R*-337YB<A#F6W2|T
z;CQ0OWOp&$jGKoIm`-F^*sd7vQ@GW-7NE0;wKr+tie$Ewu|cvsi2qZ{kgiC7i#e=l
zBx}z^^|jByM;a(n1op{+lh_*E*=?h`ugd&8=-YE^rf&85F&WFTBpYo#BwbPQ^Fr(4
zh3UU_Blw_Fv-Kwb%8km47_Z5)xhNLJ-sO6hU8%_9u6JlP;DV21H{VH+CFbv|tVE$U
zd7iOe+m4y9^w!z>!~KZ>ljuLHXW{yHeYG#l6S9lO#iE-9pYsOcrD+X-M$!(c=XH@V
z!akMMmvWMHSldC~Mve%vwYfh&A?i8kpG}Q0xg&lmI9fJEhwTo%$hbfw%B8XT$Sz|&
z{-V;Ey?zS30w}uqVU5@NEA;CCW)fMOWPDdmalm^O5oY?3Uv;qGVSzfXD?T4C{C;~E
z?@si`E%P`~D$5&tmD<yp9g+)0h3t`A)d_I*ttfvdIopOqtwy4{>~cKKym!~@X{)?W
zo2otNb-qqQt`6FDwf3?-EI>N!^Ii~Ecz%jqgB>p5SG`u$7EzujcY`Mj7eXNS+70$_
zs!LRmikcG|`{(@*=8R;j&L?}}^8*4kxNsE&g7uJyn)^VQXObcbXIyPN4Yg=!cB2(K
zf(ow$-q|Pjyd7}&CrIwa{L5T&T!$b7vOi1iJ;_&)L6kq3p$y$81X43@tWk8jDDP5N
zB*RJ+xh;s6wbX(s#SeuJcjh9c{0ga~`5Ux4{Vth;|CR<<v^+jP9ivI-k>=L<o;S%+
zaT(fGAsI!9)y3C48sU*xDkVro(Vw5KL3!e_T{z7#M>b2o^XE3{WcH+&z*nw`<#*?7
z*ty#E%`;;iDEFr+V>qT>kXYfneOdZ8X=6pDSK?Qw+ZObd(w|rb5^yFSuM)5j-b}v!
zA>q{xx0CP>lsM5>cdbZjBbs1Oqg&OVj}efkgc;Q5V71iVlQ30{=i{7$UG@W;pSuKN
z5NH}$^P}-nbU7Ss{?xfjCgWOP*>z|T&E>flkC&?w>c#LBGDZ;dQJ+0yLJ6%F)+^nI
zG^fu-1~EUJZP;xzoxWHQ9e#@A3O?rtM&%9htK7g(x+r~bH<b;lQz@z=AXA&;yjnFV
zm5q}Zm`2R;PP$}IyxjGR3Xb6877g6rlC@5Fzs*1qJ45cM-E~VU@l>2qcWEh^4puE)
z-;QTRo9j_%&fnvXJ-OpV#wL0)j9nvh;{{J{PUdNytmRc-=bdHWU5z^&6R(r}#faMA
zHG+PZ%dbfe&vcvJ*IUm1K?@tvOFR$hn8Y21;p<&~WxBR<9H^jUB4*O3|B!a($pecf
zv#|7MZDwxzK@#43Eu0gYy3>!YuoG3Ga};z~Z9}<UppDBBgfV;HO@wX-ogQk^bsgOC
zs5GMqu{g%v4%U6_{nt9xWkh8P==u&p1pc!B9Q}F&p;l)P^jqV;HbU`ke(V~Rf;7Kx
zo{|uD_=T<yon#S!S*JW^d)QViA_H8I{HLXSi5~;G<o}Nqqf6rGm%N(eG7B9ISGy_3
zX#1>&^i>@pTm@;g5R<dqLY{D3zzJF626_*8KNS~1<45Ldr159aJnMDg2Ui&c|FV8;
zGyfKlBZ_o-lFippzZNzWW+Ff>inj0Hd31JBPs<#IBy&I0BSo?36C;q?&)QBq(FtYo
zi9EqLWOO-w%`AWBfdt-5KF)HVGm)3H=$*D`9awVC2w-f$IEptB+d08NC!w4-yR7XN
zgVhU)TsV(f-MhtlC0;oHoG^^G{cVzkOwygqd7lgc0B)gjCyFq{4)Kf+y7~St+Qhzk
zE0-s(yWhSZ>MEYn`G(#r?SWnHjyfh(vRshG#$!VhjNpXt+(E&_2uN!pXu$4m{)<<S
zI?00-eY!w2R&d*T>scp=k~6dJX>SCrl5A)VWVW3!_|plZX4tcD*|u#ksEnNtLztwr
z1zc2g&3UXh@Lf4&ojY00eZ4-`_1>^>Vo+gD5a0xXYWgw1=G4{d4S8{7KcYzdn`{S*
z&e%EN8NdKD-H&9X-ZkM@1telji=vJu=1-CXeBGLZ;AC1Unt`YwhLzx-Iu5@jqt{Jf
zqU-~Hb6cBbLo>7H-LAxGBxIQ;&zscp#7<%#^MQV)!-+{-5{swC=cp2gFz1O5(N_D1
z(WURheyqLi!F}?q^RVBs?e1=)hi%1@(G9Xi;8Z4AMgl?ysCzPq0oeX#i~5*ZtjYZ!
zWHH#0AuQVT{KtD4_E=2v{FR)v3@_CJb|;q|H-9G=g!4(ye)K~=%axS<>fdE~7aMS{
zej>dUIpu@eyRs_PypOj5g}KZ)e*CUURDW^WyEzi_gR(@S!xYm+zLS44MH5)8*#E~s
zeT^~>`&KQ0<lzX!=613oP4zBX!B8gZO1uAT+Nj(11VRufIvEZt<w5;nIL<}A7Ysr@
z-Yi5?L#VXltIpKj0Q_Qb@G?QUui}gW%Vgfp$5E)>ikI^OWqiZWDt2H1J@gvQ6ekki
zaR&6*0UGtP=}K-k>S5=)0ifeBti;-r;s#{&7KV+K>eSgzw~wu;U=vP7JTYWkn6Uf!
zP)YnR4dO@sh5Rzk&tmj;H*txNtnOc7dCH;xxbP5~Q%o|WA9!MOIg5>rbp2*{aH~-a
zcDBDL=!536ks9U8Yv#L6QQYP<51==-Vs?ySY)ox&t2wX~rjw)4&GFA^0A7hQ5!AWt
zgz5eCg3CkLl6^)?ggPdgbGFa7-V|YUTR9sv9g5{VEf3QXkD6_kEkiiCYKy#Cv`uTp
z0KZ5}9MFsV6b$hy++A$fBN?j?sv?!vRC*M}NrWS)U^04B?%ILhXi^brsYyZJXa+<P
zV-faNv&v>F8Xt~r2=SiGDPz34FCYtNPF4Wb_<L^HqP1)x(zVZ!Rf%=|QjM_oP*gXn
zGeJU~By?0JLMT2$*Zo)d+9p8XVZx<To#NK%JHlnNC4~-wX-uuM{#~-qB13%Sbp?)>
z!YFnwGV5a!KTr|pRNB<r$(t$6^jgp_Br?B2=dkHxFnTv9cZl82lZVV{+u$x4ETj}m
z(BC^}ceC)g*7z&ocG02b?dujJAC4R6q*E$zn8Mr*T_IThT$&j?ETmyz3A4i<_0X@^
z+BvQIRQCd+l;`<**xQ;>&dPk@Q^UGdso{@C$Y-NZ1q27D=r;72EUd4mZ>LTFaA{hd
zHuJBGE+l+U^Fn20gJOZ-B5#{0RAHT9%8=JG=E}I8&FGHQH}yjoc3$m8c27t?_7Xhy
z0;z+o0P4|XregAQ6lx9$KHWC?#fCli25{pI{QdQWr4f_2sXB{U2cMDrDU<zP4I3li
zLhUE7UI7^n<$!G&ugFJr?m&td%|--X`BdZ)q*B@WldsG+>8ztTkmH=AJn#)CEnK#c
zL>6hbPD!^Mznu)KowP)IGC%xIGF_X%S$lPEpF>`llX*}zW$bOzvhjT=^8$gX^>{lP
zS|K39Rrw)5Wdnv=Cdce%9^#jE@bGD9Ig=+E>EZ6nh-Jl!PGK9p^;x2SE$Dfc<*F31
z;}z*0{Wm8L&A`e8wu`(<$y>W>=UZrtQ|hh+WBL2AOO55CX~nb%_qmC#@bFo{SUbG|
zSK!6cQ-So38=>68N3F5#;b(jrsl4cy7>uT_eMH?<;&rb>0?u}rd)&UHKartx-v7FH
zJVoE450v!NW}qGfU_3sygdY$Vh3>@Qj{!4SLPE-d{-CLp+3kKdip6j019LuOubjP*
z+7J$ZN`Iij*aFL|a-}B`Nk_xZ6&8ng-z>RteMR|dM%zArbyV!u`gxd-(SpKR%Yn52
z@Vp4E3%B@r(evNoQdCo&B)im48!sUknm66Q_o*BCa=x|!PIAVRoF}t#Z9!~$`-?R(
z*}h+}PG0(=#w<C8w{hFLV|%(SdC*KTnq^*pDc9ILHhQdS4X%$dDJt-id*~mmzVf$T
z2;2BTxxr4)8h1?1**lbM_#up=mF?ld64yAtctH}e(nfay5elAosf3_vI9~9h8U%wQ
zHoGVLIl7q#mXNO3{e8u!EtS6LcQcuKBnt*NOcg|`y=rCAD*0Wv@7MLMI2}PVtfcE#
zhhp}S+piLG*h&kZo<Je4?}<JA7WOM2_G9;{PHF4Tsbgc{CI@c?+WO_}+_>8uAR|<?
z9&^4fTPZQg<`TL9A6(F_p5J#$Y-NFR-Lu8FQ*RR`Z5Paz_+P!^O-<cJ)<@GyJ}gab
zo189-S4|8=Cs}An!nja2?T|k3Npdx2(se(iH_MvFw0Ygho$h402)3AiClb@}R|QwR
zMoi#ra)-3N(!o^3G0WiR%YoSyVO#Ws6F;s*vUi8mnYX~7P{NvN17|_I2zCs-pB<Bh
zHsj6qT=wbZuw@%*TYl}v%4!nljrEa%Xv~6?jYbU2KDJhw6~zSxe<9Wqwc;J<qF2#(
zy2Afhah~C}537q+ZdRrE)a=Vlr{=(g2I?agQ$3xVTo%A?{*Lr}TDr^YF*NJ$o@=y|
z;5S;v+{cbUxa9&<dh~ekqhZKPHD=LP_LPSUn*?I))-djtm{;eSfzmf#Q*1zqIYA$1
z1_9qDJF$I0Hw|e+ER1)U7%#^-YUWsUY`!kuNqd>;+-Ba}DNcvY(>29cEpRwTv=1_Q
z`Zov-Y3&<~z)ZqqR#Dl{!Fm64`5lp%yLK5fkIf3M(PCS~G-zjyg45E`6uebcq4esQ
zz|=1w3y1poRae*#>e~dfnsx6{e>FRi(Gq`i>96=gpPFfmK)+oad9o@8y5(n*TXNM}
z6&*e1WLnr7f7m~W3D}b^KZOacY^~ucM_95YbdXgTNcmNQ)|2Xw_**dc(gy&})Zm~e
z{<>#3Fe}kX>zRz6<zai>dSxZ*lHf5GxfN>{`+z%F@Y`2PkEROeD;Xn3eh~j}-&NmX
z<zOH9>9Y)(%vnts1#_|js(G2#ng7weYFT4DI?`|zaOs?Ou==#gu=W)}7w3OoqY^CL
z%n*dJG9A?Xq;O~`Hw8pw|L8f%t#@o6{98W$7q13QpidXhVmQA%1jl#&^ZjK2Z2i33
zZc(yJD3&GX(^#M3n0KFZnn#%aA=~+TPe2o!m<tOj2f?TpZLpYdtnI+F@6&!tte3*M
z4CIkodJ4_u?XCagQ!+N9`*??|hl4|I1lKHi=jQL{e;eEjaYO{e=f+C%WgpLZnk5b&
z@L_FIDZX#wy+k9Lo9tSXy#0OkG#1RV=h>h()!{r{_Ww-5o0GZOlujwBha4}5%pRJ|
z29UQP26ygDoc67+)8vIb`vq>{nDu&0Nkl)~obHU9J@YxQwz@43kq_+*yz9Q+&gL1m
zbSWLaS?__|$Hm1WvGt$YzU*jKaY;LW=ZQ4E);8gxUr$(h%h{G}OPSoHFhyuii6Ga<
z)B1s#eqhcdSrsu($3dK0!`!=YRhn#*9Q9nAxs!QddGg9pk+<6oQ<LPJFT|Mcotr@5
zKGPQZ!f+i+alcv;@p0j2!e?}0$oYPc9Wr3%5f+UMq8^N*UfS$8thZ^z&T`?94e@#A
z5<+r;kX-u&lYc%SJ;-OY|H3T)?oO;chmks5_x`c)`TVoz4*09*V{(`$BA4^+Ocn^`
z*l9}i#v(w~`Rp!OWyGk?1@^k@NK4wKqU9=yK&ou6AT2J|z0*}BTeoi)LNIAx8`E#j
z3(W9}@2Bgkr6rOR)OC4qnru5iSyH7<`uXJbuig3jR}%^wglC+VE4jwZX`x_49sa$k
zC(kSGF*mZuztPJg2TyaQfT^P;;nX0pu4p1Q1&f0}C^vZD&BlJ3lPZZA%p8q~a2HcH
zx!oi+?~`XHhOpd&cia*R+*3Ka97(uT`(HK9Y~5V&Egp$kX0>U#T3Q#TK8)K?a4WOy
z4$^&&Bx-5E){^NwgMfC?&Bii-E3{uO3T^t|xV$aTDeoOnn4a~yCB$J2)TW($3Ek9r
z(_bg}PNE#Sr^7N2SUf+kNSc4aj~i`|%>@e`;6)=A7;C25THAh!tuT4Dozf5FV|^uQ
zF}k`tcq|mNBl+3iR)0SU4}GAh`Q#pw#bZ?Q!%sp9wiB*WH~B!zLA+eKBK6zP$^>v^
zvtyO%gOM9Ta6X=DM>(%Q%|-v}oha^;@ou8>6CcrD)HB0F&UB6CXmnsd{a~^cS7)1`
z(7yy`7PxHB7)Hi1(WFu#_SCC{_vw=HYTSWnn-aAGOx9XkYIr6R7uWBwEqTk0TBF$v
zlP*B{8y+|gQmai1aVCeA%G<}vl{G>~b4`KgHDUxk@m=|$x6W~=p^JJKK1#mARNu=>
z_j8#CZ~!o-rsnm7_xj?BHi5&$Empab5Ad;3t8ok~Qa)Wb?)9bv$4=@<wVqWVNy%xX
zXL!jbD<SOC2@h=bS7mET;$i+4p6<pJzD+1~;~^D|EK<kMzncJ^m1_n$e0S0ukUc-w
zj>w>)>NA9P0TUi>5L`{@9}@q|x=k9<dy5!)Z#EhB#S%X>P&|ln-FD*&a51eG*Bo<v
zZ5}AB3qGT^0?dYn`&6p9j>|f9uJ!^g^z<{;y&5~u!+}8<XxbF7nk2^i1h_03XY0s+
z>+qB4+P*L2hf|S;(=Di_0zZH=JBnMrI&?}a$#VH9G-?@e8JX6af0fL(L&jW>)U3i&
zm*N(^hmn>~yF{cC{^EZvpKB7{(`)0y%`lZN;JFTn^))uipNC1<IB0d?*&uqnA5&wG
zKRuV4r2D&X>SUs6r){>;{q6pU*;}h=IQi^NYtz5{>jY(M9{?L0aOxgfm1djk!niVL
zKB<l`^5f8+dM(*r*4m^DJ;jT{&q%l4f4yW}A?ur!5y?tXQPnKjTY;Aa^Lv1}{-qRL
zq6Y7T7Ja4VrZ6YF5O6c^vk7&6$POlS;y#h65xwB2lNun<IiwS>#4FHmQ)=!TnVW<|
z%7Ea3NvgZ%wsn+R`7LpJEg}{tVYko!adM@R$KVPYu3DcML@8{*q$=5yu#w1YxLKWU
zGc)Y619Bu;nGymNRGVg+ul@Fdf!b~WO8_3HKq;gP-(mjqJM-4dqhQg#A$6hi(b~rb
z%AC^EkNyj%CzGzOt>h-Ow+;n8T93b&c1xw6Mq`6F82u&}FLVQC2(wc_VsGc^L#Ehz
zzFm-g*kvD)8trdQV)357##NT`T~n6F&t}XCbw7QeW04(T^Zv4UDT}FD%}Mz37B+(F
z^dzVpsXut}DNXhmV$I^>M_#X!!O3*D7-q!DG!>vNf(ZC|&vEYIzczI*C^g&>U9<2n
zVUkl7*Sc%yTR}XmuG@Q5KK3+&3{J^i_8@m`JhUQ7z0w`0NjO+o+fzKsbE9@1yEWM=
z@4M<@z56iqkA(Q|P|l0T2jEA02<>y&gON)}wK6dHf;og}O5%p9`#izLk%Q#|e^B{s
zxQ_^Fp}_}pI-ei|N*x{3D!B)|lN8`wS2qzCx6Ov0Js9YJW7U&?^FsZzrvBAia*~m7
zq*pa?7&kiu9A}0V9Y1x-(s?5qbu#ClU5dMk6Q)+-5eyz+z+dTVZus6lKn!}gDVA_Y
zn&Gq@R=P+U;T#aFx^eFzI1KcgB;!oyC{Z|JqmhpkOwW^RSoSh`fxVckyLeqF2@Krh
zg;jc;+xk<Bp{Rq-#^4_e1e}L=5x-bZRx=CjalZ~nX53D{$>4&F1+zGbd176HJGzl=
zW6olhAGjtEri6Anq1#lVExY*Cj!370Qav)7H`Z7sw|8v#<4nxUQ#yZ!);cr@-%{E_
z!c<sQ?^~DCW8y<Uy9ACowY(5i{LJohC$g{P0e~Y^m@r!b)q7{?2UVb{T*V{Ifnd09
zw&1{w7>#*kGL4eaaq6aN)iLuA&FS$|%lOAv3VF)EKoq~lW_!6Elm+`>Xsx547QTWq
zubB~RB-(9}=XdB(pK@X*52Al>9!;;211IqARLC=W(&}Ny+<l2?g?MTmVRW+rlO#XC
z(^~9ENH;rgb@MZx3fkVE;%EFAVBZO~nQi%qT^kc|adz|phxu3J8$(42d@D{hqZ4)-
zOmE<#u#XxYb<sy)IE$hadsV4cpz3}HKCPV5q-8tbi?G3OY}ual$RhhdYbWsRB$Jaf
z2YgQRbnBP!8b2~sbYuF02cUO;Q{qni0GJF~tA9|r$&3wx`ESjO+#p!08w>}B@X=2z
z;Pd<!wwu6K<<u!>C~<&50JDACpwHZqq3i3|jilA<)DR}9SY(~29<70&yUb#c_e$2;
z^RF5i{lMxw4|_+FqQV<h+A7`J=E}w>y=wW~Is;D(No5bs={fA@+~bXvqos!QC6N)0
z_<xQ&r_c8+y;wy@hUagig7r9Lc(@u1Xy^a}?6unuTO=zAlqZ}UdUcdl^&7H5XDdc$
zqNmHU3wgzW%WMj~%l%xY7rtej_42zxbT^Mc7OR<CM2A$L409$dn=z$JnfZ3^IWNDm
z+$4lEzMLI|rIE+*r%+9=tINI27w?d&^=zZz?8fZ=w6j&*Oflatq`M+<!Ax9V<{WXn
zf)Y9~FmTC%K_h9pnTAZ`_96r8d2L-D7NXnPv))YBmXgMeU21usitA3%2fKhloR)H?
zjID5np(h5PZUy*DTI^O8XAW4pSm->~G%|OX^?9^1STA5<QPj(4Ct)!*HwEcIi%rv@
z==GbBW?)X*8M4w#t@Mo33t(ywnabdxq$b9Y3#@l;;xQmXhbD;EYp`KqFRAGklRB@h
z$_#Lj5Rg&hli8Dpdm$?ikbb#%FYdMfqR;Og&i|B|^qiv?dD3EH0uH0T%WHnRbvrmD
zU-eFyR-qOnvwrV2#0{ijyX_tGn(!w_WnmW<@pM*UT4LgszIz-8Wi(^8UHA2RX}f)!
z^A@TraYTM{whl|xKf`s5hA>|JF_)W4qCJSzHe_^^BgVWlPp)Tp*cFKRCgTrRn2fS1
znBbox;M00v#;G?Z8!>XPvJ>K_O1sPzWlz3%!+XyVyO`;fqgtIF6jsmE%XJhn%;k(?
zv15i#<%OL@JC*XptS3DN%+;cvpZKd=x0}(VDU?3bPcz$^82jUDS_q7AOH5QjxqbKo
z65$$AG=8&?v|i)L^S&{uE~SK7=8Q%8K4@~N@f_>8wRW!=%jlu69C3aa=niFzvzGQ$
zc-b)$SgVAlbArGhL{ircGrt9Etg3?q=n>>YG!rHVCXX}WyGWTX?f&DTf0q!>l^K&m
zU4YWICMHTQM6-ZzZ!Z!fzW#Rhxu4%=Tk!j?;Sb$ER{KBW#wm0LJ+{hP9e?ghEaj0P
z{bO6WH~mn9N;&Cc$6qh;_x=71ko<PEG-0p#S6-y%`7x)r=-Z>9j-j8n8sq|<bNt7^
zm8ljCL;II{e|gbqXGQm{lcDhI<@@J=n7f0Ga)AORVHNw^b2N3>$VA)fCHwj;%e?+4
z(KluNeuD_g$_Zy$CaMnZ`^CPERtBZ!&jlgF_k@p2t~a=0x>wMf@*d8Bo(Ddbp^^8_
z1B7}5wz2e8Dl4dxgoS8(PO>`qT=;-x$D(8ZGRGqo$UYLXT`hfwTP!sYRjv&bX|yG<
z9dp}Slqko|U%Yl5F=z&i1A3!&+FVx!pF~7!bfgknC?AFYJcxwdY_(y>h1^Dmyh3RW
z2?-z`-$DBQB9NY(WAzN!)&HbFz~1Ge)x(BVyf56k)z~YM0pkX2q~7`<CTNT7fS7;9
zx*N2&Q<4Dtkl-WZY>0i;>2J$qU-_uU9vjgRYinsi+5o|C?QvES*yq9tpZUG$>l5}1
z^DRkd)<`sRkCy3<&nF|p$e!G`n<-JY;j`e;wC<lGHsHqA8DXJbz2EGNGi7MM;VZxT
zD}$3Xg^X@w3!4bd2RdeWk2!^8aqsNB&CpV2hb+k>Q&y>7h4qOpE)QW=wo<8>ub%32
zNQ#4Ysc*tKH7jvf2-oNeSHOq7+UBudol2(qqMoQ$pg*a6pA+bsa$@@`Qyjm=&zhr{
z=kf|$j*7}ZLBBhZWVplot+jSB1FP~YdB%flpJtk5`Z{#)CONROV@|>Zq;cw)m%b$t
zyqpyp^zt@ZbnJTWWyt!h6b!}O+DYJ1l531&$ul^lH0rF7h~HRqYYiR3^z2;wHf7jD
zv;MkM&Xgl-OqF6qa}BQcW4dpTfuu*OF+O=)tApC)R+pre6uiSpJ^fpbMTo2LUnikV
zq0cPeB{ta!!QxZBOy^I9o=aO|-fEUBiw36yQm>_l;^BHmZIX_5=(wJ`E(^LETb$H!
zeWx>#w*_%oHALBbBV*^OsB?ovTp<uKP2aNmC=7Z*#vH^}Wq_L2C_!+I_9{u=8Qn$w
zE5|6avyUu`rI>2JG|1%Dmqgir<n^2Uec00&uLTlrsFuZp-M6A%RH&}_2K&sOvgaKJ
zdn`U=xvUY}NBbP+b5mMTqOEf_40OIAG3*ImKEQ7t+449-yIIgg-<<tJvUqw<ZD`tZ
zV>0BU<eG2|i>T5ZEYURtRCReRGBQ<bVLR(AXmW6UJ;2({Q$XiQ;uJ17DnOjRhPz-S
z4N$CaJ_m)$>w-?TcNO6M0aED}w?NH%oGy^dlZ)TROKBw`MGH_N%PWMjb^2~60l$`F
zuaWk{vtbU8O4X~UoS2?{`={;vs$$bbbieiyANNYA42wWr)q(VWiR`K+?5(=D^aB(0
z!~S)YE7uIRaddDf1ZQFE-jA!>ZyoQ|4bywR2S=-Gx0ONSohh$d!4PMCiSHGiQW_?#
zk7lP_k37jA$w+#xt6a90K>0%_C(bT+-2X1P(NKaPM?xMOp)*L!tiC~f-T#&^&Eag6
z*THNM;szq;n|3o(f8S?|;0!+HQXp@kRZFon{uCc;Ng5k*$zf_S=WXBI9VRT*^`}C`
zs$x}bp$L}wTk=czRE(PK%sXu-VkNo>lUR=otM$57628+(^uE>P&me5Pe)A6umFK`+
z1IIqW{!QCLI+GyE)#x^8`~!Sd+*444TrC{I_L~^X3(;aZQm^H>x3Z1M4LY*B>7PhS
zr8TUBIDyaBK6vEI+lPw@m$Z&BDf+fyia}ZOH{5<=jx^sC%)fq99k7B`h4#Q!Y2HAp
zlCAS0nP)gQ2*<^({w%DmT)jF7!-ZQNqJ{SHU!^7+>GnT7(~K7~l_Jw`Je&_ToozQ-
z(A2?&gep#QCBa`lVTW1|%F#AmL?}{=CHcMgH9+-$zL+Fv8#%+uEb)pMC;%ttSL#)x
z5ftgg&$Gs(8Q$kYsp3rbpJx<*XYd1JI8No~=$4?}jGf6W<d}0aoX$T{i<o&VTc5AR
zepK5oo=NrM3dQXcO1T7L>G5f;_FWG*##G!`{Nla+M)4B^eF?>AXrF!_*o%JkA<$X&
zsTia=bVKH(U+3$lJLNZ9c;;wFdP9n#G1Cud?ba)@Ug|u;imv`;eBH@Ty0+eme34j`
z&Bvv4mn(Y==3GR4b*_}$ujz&tG>Fh6Z7O<>A|t0irK~!EYmY*!dAZ#5SMF{MP7rXW
zfeRtd_(RUnvq$Z18lOOany}l-Picz##NUS=oRw9vSC;-fEs*&?Vnul`09zB9Yj6Vy
z3e`@x!_;l}0ur1&9#cDEDc8dTs@m&ZPQo}e@0QwJ>o{t<+hY1R&YdZJKKf!@nZ8Md
z7oYQn=`h7Ek^c?*yMV<er~C(Ne*x|>=ifMQ7Sg<N7NCPs(R}Eyi`kEbu00*9Y5ooi
zDxK$gvRv}cjn+3_22`G@i96&I8E$h*IH(*RZ?K^2&hgA%<F%DnZkILAOyDcUJ0sqZ
zh+VTY>POe@;rCH3+eaXvptaa8W0mae0X-Xr-ktYPT0$*&Jhh1qJnc$d_77besFF@R
zA|ChjE8`ur>=fEVSfUdrPcF@r)%863P)*=2`)xm2cPK&NCYp>v;Pc)7`R|%wQuVpb
zx%_7V$+Iwm9B*Et|NLHXk50eM!NHcb^`T?RY#T`l)vqvQNrpfBV0Fe_U3H_6g}1C_
z&@UoxDl)5!KTJ$95a@6Rb7GACt5(JDI_ph~P{%pL=%a69b7Q4mHG$q;=jYg1{;VXN
zm^i$zk|?8jG;cpMvuU59ev@(CEdfe#;U;T+!HLL@3-9FbHA9h^#_5+an`SqG8xtD8
z!**B{@eL0k)q-)kpF4``yAXjjxZ>)`L{C@Mp7VugZq?vV85+xO-`-XI7Xy^yhgW{t
zM`pk!#8qIlU$e$Q9l8d2)f@a@Zp?g{W4Xscu^#uiTxr3lxgmPhfhK7#rL!9YZrCF%
z$HLsSft6iCO+wBrwHnQHDs}sLd}s?#eV-T*Y`CeK*VW(0^x_r@JiF{S6=K62Jv$Ii
z=q>W_MMuFlfy*vr>rEN?=GRDHd|EX{D077r+eC0py}RC68~4qro_{>yMJS#FJbd@k
zFP7S>(vj0>!4L$T(>{PsFbLd%zcfo#%H?+Sx{srcC!*8EsCMRV0T_b7YETu{^vp1z
zeSbg2?%F6P(;NlV54!p2%!!-o0x!qawUzo~v%lGczyJig(jd}|HHCb+jp2{)CVLXA
zSpCw*P6b@VwpD(t51qH{=q{MDYdNqlhMNW$*u@Mtj&D6}N*(+WwoOxl&-##tX!6xM
zQ2d$mAw?)}kc#1NfJ71zJzzX^kQdPdzP9+c3rg&jX$2fPBEkjrW>Ih%3jkwg+UR{1
zIO6utDI2)Ym}3<~MP!By<H2%Exusw}`WJJv5%GpPv}C~2p2wwQ6JQ#Lli8}@(EVpq
zzQT;~FP=I>8*qJkvdzCx_Gt?hpM)n%x1a|=;VDWOn{vhcdSLc}VoiSOZ?|J4mpJ=L
zjV<O?zb(Siy&#NR6&rN9d$^pQPr%99l&>~Q=jLF1Z5>WPIx-l9@cwf3=}@lorfO^V
z1cxQvsdVv)w-&|YLUjWR62-@<<B!sF`gkAxR7-o&ENBLkY9`AiM6cH}%{CKevd_35
zs@$}H7+(QO|KJFFO>$w$TG4st^d?|wc%10npt)0KP-(EreNHKHVHeK${Z>H`=#=0>
z*VUA{!nbEuG-v(WGyfpJd4oC%OB!^YZDqFPdU^P1$S_`B&AO!a`TpYR{Kr^`CbQ=4
z`;Y48Ym$tZi{Z%gPU@<FV9RLZ9`Jmd^pD)^VR?Zkf6DCv;q-Wr^voi89;><eA^6V+
zjgD7X!v_C#3L-11kP*lKX>aK<uq@;idQC{CzBgP+im=s|&Ov6!#a~VhHeQ{KoYZ(I
zI~#&tk3^giNa)CLTs4exvD=YGqK);c${4`EoMX#T@o~MvH^8T1|9B8b9?5kUa<r($
zoU|JEeb*dF&Ji1a80u!8rGU7&0FaQjeEk_IqtFn2zMS|P-78Qy65}`C`r4h)^D45q
z6KsjOptZ-f$488Le0b*=7jUl7;P2l80sp3a8b;#`LfH8{bG>aGmt3#`=Se(L%q1r)
zeaO8z6Eqw7x3FQ>?fh7GHA}U8Gkr>u#2k0c6ldB-hn%bBi!#MiR~-&9zxN&v*ER~Z
z`(H;gOIl?^)q~%h#-HQAmB`lOXil|>@aa*ffPa=CD8~1&Q1->o95T;)!JW^ui7L`0
zSE26n6_)YLs|u&qkH^r_r+0oLt3;O*3ugoX4|w=zl8h=DZwMYuOVW($z+YQmfI)40
z%M=Sko|Xj=9cTBS3E>7G@<3b7&H5Sxf72hbO%o~{re}UyZhDF6N?oXCzfyF}ov)vA
zqLplDr$Xc`;Pt!}YCgcbm~A!~I>(^(WgPUeym)+38`W$xWqu3a*&=27eXumP(QqE~
z)MpdS6@fP0c{J+QV5YgXTVIV6P{_av-`_=TvVk+5;*xI2&1-5)@`IMS6f#=1N*x=G
zKgJm~(ywanFr$}C`{7pd06$RvWf5g1W%f1689JcnE9mhem38=>{ZBcOQbjLP9c;`X
zmapdey3^m7!$Q&`S<_d`?2B1Q$alU1rgh%posRJ#Dnv%yb=_)^yAxB$`W;Hn3EG+}
zjwm^&&nfdxnj%Q6NQUM!%%{l6AR|rmki9e_z#*SC3-da_11Ffx$}e74pTYF|EE}7#
zzG;i97hU)Gco8Qy=_CTCJc90te*z|njrX$51Cu!!p2{5iceV(G9Ijh7(za+??X*Dx
z_NC^6Z@U9bj*2>!@r>Oh#xh1w>9w(gn$^hb)tor78=vKZ=hc@tu3qnNTOv9V7MP6Q
z1@7DwgAOwsw~+UO{W%x*vHvu?H*01jx>d<j7m{M6a{rug%3ZPoB>!%{Nz^dy(&Zja
z+<5p4jq~GC_x+84pwiap$r>*rq`s_25q461`p-9a+soK39<_74@K!PvU9ngiDb57E
z4sUksLyC|l6*qVX@k7uW>TTDp?Rbd*A2MNY=F*S7c*yF~H`;t@Z(ZEvS&D1<XBJn=
z>!g0vA>mS2=+CMvyXkHN{~!IZr*}UFyw0)17Pr2U-9@&&n`B!5Kh?cwR8w8oE=(^{
zr56DU(jlNU0f``}NE4LaI|vAfp+o4s3DTs4C`j+U6RH$ZDbjlh5PAY3$=Te`^FHr+
z&#&*_cTUD089O6;uQk`4bImogGuL%-JW_S7+2v#zAyPQV(HgXu`-HOM@OzeFv}I3h
zo2_W$#uRF@`7$ewbel%EKQj2qtvwj!_aCrVb|QVm7OsPk^af3tUsa-#)NRL3KP^bo
z7b3)|U-(dG7Hs={%((jH?US}6Q;X*s^t&FuKFyY*SVh+4zD2?*=a*zXR);0{<=OS;
zLXUGa+vaXyW~)R_hZwO6(Ql8$FxCYrx<qr~InOdd$+EOX7rHDy5%Q&_yfd9+i)CaF
z3H;r_ceKP+jVY!8GR~F7$j`p~X=1pUT34RlTt|!Jg`He-Y7lPo`O_<;DQN=cJ6`Hd
z(Ks3ytk>1dNoIRFm}Wl#tQr;h68CZDQ~Y23>~YCkfiiwFa$7%yUyCuTHtZF2!5)ar
ze-wQ&{ivEm>53ECdk}-0@NL+cJ&_7DIi8U04+vn;9wOj2mNx3h{Xkt+68HnIrk^X!
z@=JVE_lbq;%E*gZoz}7QUG3ux|9s5MdfQqx>g<tZk=S@N{no~TFpb%z;OQJmN?FSR
z@@l48`k7n%yxyE_+=u0lQV9)B?*dqb=Ez}rtMKs4kp_<U842)1nZfXqr#8YOhZH)x
z?@Z&n_rqO0C!eJW7_YFE|6Stw6hBIOVxH>`zyH?rWBHPMA$O3rO>Vy5dun#lEbe)h
zrCoia!8bq9bdsgay}aL@E+2zw1enhVhc<G79|gJ0c(DZLw3Y${hdt`~K|gjW>xZg|
zj@<o_&G#WD`OdATil6`v-H#ol8A!E7=wO8o-^bl)_~Gza!f0m9VT#$F_LWJ4u7{9e
z8t0rjI}E2E>Omff7?JCyGT~d?+8r<@9<-URfjibvn9rX7HGA>Sf4;Y-wQO?Zx5s^*
ze%r0FR3jVrdk;KKXJ<tAxvKojy^)k+ry4Jp9JzCl>{H41mAYcT&)@mZLlD?A`qvmx
zkt)~asi4fQUN*e?&yg1Nm!#Wi{0JHV1*Q_3h>cz}xKKVwuyl?#s;m&lo<Hws^ePj}
za@0<({qlcei_TtTV}atstj0STFAo|-OS0Kdux0&=8XQ8V6@=ohj%~gx!DTm$T==Ia
zDec}0OA<vHSu2Yl9Ynm&CHLM`?)6b_Q<O)yI8nu?s?q+SOL2mSD-y7ciaXj$atIr5
z7wyH@I#C+_BKldj!)JB7h8icWHF1~3O(V2>m^=_3s<3-YIc;EuKacRD!el#gQpm>6
zS?pXr{m&=~YEF?ur$#hyc28PxPgx#j(ppHnZHrn#XuZX6E}y7msA_z@=4x0j*BIg*
zqsQ6&ipp130(fv5^X+`hMVp&h$iYD51rzab&v`q>#&UOt#iikN;V%m}*xFFC`!l60
za<N%v2PMapRFowiRa(m5+H!7eFzaDG%Rm}Kw#Ewv>cMz-`Fd$M{oBg}m$Az5t<`XP
z(xHV6^`1k!B|8I;{CkC74*pw3dm3D_<{#*)lQ%{NWjuyljs$A9Kn?8kGNLULUxsW4
zA4ibh|AuKohpb9?ju_jFl&5xA+<|D+b8-B<{iHj1b)zr7k!m`(zgw$HshHRA&@@^W
z*q`}D@EM^kuXJnCyy2U$hQ|qyRMA>0T&Xf8wX;M33ZS6bPOA-$hRVyw?bdACG4caV
zJG`*wOvm_6uD<A#!xea%;DQUwb~R%&?cn!^==Lfa2Hm~#3Gg#Zg&Mj)f_A6}(t{kg
zEMPuFQuZrb47-LknOEM=eFDPXA0d?)E^EKA4K|LRC#w@|SnZ>7UM@W{pZi2al=3G;
z=d{9drDhY;(8Cti?J6`g<FRbK{aA^;vPwcQH)gUc=g&>#X9tURqk~r^Z}ijZE3Y`H
zP@V~}uNP*j)jRzr*`^_~9{X-^?e-Ip*!OJjWE)`<Lb|x-Y5e<RRrbP<6MC7HxI<ru
zGBEzuMQZ2?h|g71UiED+PCiy}>OCgSZKT38j<rRun(r&g{FF96JpIfq^*i@<&5NUP
z44d3<<6p;ZRP0WRH=!>A^j?$;P{89@GhtX7bdKLLqS};y^{COF`ekMF<h!J(N11Kk
z<MjgHtB|btTMFnM&yiF$Z>_F;OJ1w5oK}40WXQ`S@|hYy2Z;CeoypL(GYlWo=e>Pt
zE#N&h_R?3%HdoC?tu1Bbg^Ey?l&QG2LWL}N!i=$!_K@kR>EY)$pADE=)CK{Jyk9CC
zus)Vb(I}lY;_gBlJ&#B7wgpMs56HT{_TVMlygBd0|20;*N_UN8PV_L}W`+0w2W&*7
zC&@VcGxDsA-?cTmdk%v~m#0@0TrEZhNsl5{l)IH?F{{M<X!BW)k*c%b;~-agg<@;n
zSe>dHzg3*_mT$ayBn6=(xOilCYBy>aLz<B0b+}0|W%z^V8qGUqcHL>NI?Mcw7ON_s
z#ophtt`k#4;ZmjFBH7=Za)<jF{`{j?Mq-(|Ge^mkhTq<G<lh_WaJlQ{F;&A-_-UQr
zR?x*DliBvzJw}D?lRhd#llgn#MA>W3`OY_zs6mpws6Tm@N4DvILN`UY9V=QLG;JsJ
zJ}b@izpQFInbA0wl%OQ(q2b)HLR58|w@t~DHS4S_tde95Q%R?IZUj^8Ia?$hKU0w2
z&plTP4tkxBq=3kUDD%y?yC>h3Q7itlDC1MG)<-t}LGA4G?%f0zCSGr~7p}C32xk2_
z^6_Zm36?zPLFR={71VN;{3Sla<JY}^;&87zep;8CT*XmYUbrgbo6eo_vz9@0MOfSM
zhh9CZMY<ujdRDC`oYy87zhethkYYWI!(ZVvX&{VnYNhMs{hME#ARPt|qJL0yDV=OD
zzJORClI?Y@R~F^fmpgI?x8&<vk}yIGJf=WoA=bovV3jAy_l+wD->G_-l`-?xz~8O;
zIQUxl77(9R^P$n<mp|(*HtP8nGppI{N~^Kn$9|PFD#y{bf9~wtm4iZuJ1L!##H|Dt
zG^!zrK{Ynf<QE=?1$X?RyKVRF=mTFYtvps0f(gH^W%RM(^COL>2schFj7&B(=27+G
zv2VMoPNCS)IixS^Rm?xGEiRI*XSny931PB}xyj?P(1>kKJyR`6OMX9F5(i=G(m!%S
z5k{aH#*+UkA@nmTR=qKAp4yGY$oP#W5BzBinU5ClOxVEC?2DOv1}8~^#okudzTc|U
z_W^C#jE~nMMfg*S>ipD`-Lj4zxl$3q{u`+IZ&Z|>7+K>K`5OjOH&a)u#cW-mn)E)r
zX}h3bhE7nPt1{8@tB_%|K{}7Lfifjqxz&4mM7UZA)}h>_jRogHj-Qip8?|1%6BRnw
ze}|IiN`Wu0?6WDJYfM)06l<NN?Uw=tA&I+3h$_Ap(?K-m)8rvHnChp*4$E+$gb@Z|
z$9ZJGzK|h>l?<1x;EkZRhjmmIBw7RA(w@ZBQ$Z=u09+WQRs{X|<Ix{}-Z=nA!AEQn
ze)pbhRIf6{#0c|&AtbwdBw<t9xarZJ(e>W!Daw|~vFu<H$+T_5EN<WrNAZd{6LAs%
ztJ}sgdc1LJm^?y$liz@srj?-&y_`mw+G{v{-u#L}i_cj6=desd@^G?am*@QCSP}g&
zZ@0Eut(S>V#qC-aqcrDiULo>ixP>U~T*Rd3VGyA|sbgb$;O9Q~y1*T^DuURGIkB;O
z>Q7u7#quV2cnIs%%)e|XYl(UEzSpyKoHdWgWnNy`$|@pCa!1hkHIdb-_!>kb(s`A&
zqAh)jMAi<GkE7X58LXURVyI%QSy2$1ec6TSI&rdnwfJ+=BE0Q7PJ?pIw^S@92m9wF
zPiD6Tgu9o|WI)IACM;RiBg|z4W$MG~ZqL`gOU}DX2E?TZ7i;?|Z3&8WHUxOjhY9?C
z0UkU;-=eEV_2yrh0;DPQa2lr@_p;k4Ps_BkG&pmU%Ob77Q3f&wo=yQ#fhZwT)!8@Y
zFEk!sv7*$bw8g({D83L0OeIARNxdp-{34x7bLxjKVz56Cy0mdX?_wYRJ~-Txbmr8I
zg=iX9?#9hjOfwW?<&y>mHz{-z%k>0)shAb&e2T9>KwTjhxqmf;akXZfcp`3O1nPAy
zsn${bF<I25+E+d5EEBGO^81j^>~JM}V>;pUFRiEDWhTVVBheF%uV?yqWCc6iojr~*
zdUMfi4Ad1hI(kTjq=w-7rQYc~n0)5l(E7$GR~u)B=^l!(iq{RA0el|6QufUz>O}e)
z!2EB|sh8nRxlSlLP~l4vVHznSY<4ak?W#vOoO#ix?TO%^X7wAc8DZ*08LZ2LAj9wA
zGBj-}b=}8-m6sIJCq?x1b7ST*C5L0az7_7iH}o9~0UnRum4bbkM!NcUp#Iv^qj^4E
zMaao;Em#o5KUhQlZg9P#Ma1+Dtx2L_xmbB2`*E3vuHt&I8Vx;_;?piWtD_l;usXl8
zCogmvqyAXf&lggtyGGRpo()ijyl7C@PZgiMDE$Vad?uv;mR7nI%C8T)^;MEC-1Keg
z@NT@F&_sQ>!PW=fdqe~lhit;>H!|=cZMog*b(RV}pki8<)q@#*(4fH71F2sSsCV|t
z(rdkux<&5bC<0TTx~?nx3`(B4vE`wgHf|*6o^JsZ=`MCnrorbA9d2=Vs@aXql$n<~
z*7>(^S<i8!M~PUi=R$2}C1IH3eUfuk8~0U<tm1TZ!#5=zhdt31SG!fA^n`oQUa`-7
zs8}!(CwZ>QYde-n?M&A7t{{=g*nT1IE2~3Jb+s-TJ+JrO0u?|X;ye%rLSID-WyO1v
z^5DfsYmCG7T=FrG>SK5`1}D0}G@4yuePZ_Id1b*`Ou7Rz#Ro1^-PHRTtzVD)YN=a^
zV<oVx#PqK1#2odRJoR;BbEjI<2_~}p>KT^V@#9Z6UeCQ(NVJ9PY=8Ww8}sIw3=P0X
z(F$>Xx;OJKCo(EDZSjOAMK1GBa_wpcXCdR4DYuN_-A3)M#RG<j2>+3I*Ra}ZE#nBP
z=o@g9s<BM9w00=Fv_5Vjj?}4z8aFo5<p~Sm(c^nUoQ8GXE_)JfVvdcxKWEK;yd}1P
zyl8vqE3)Z!x-nvhnZ};5@nrb>@5^wOO7ifpuIfwYL{BwVV0T{8thI9cLy1c*$_;pS
z>XwuX%+=H?Cx7bXi}bl8llysWS*Uw*)sySBlE|&v2g1QWCpu7)Jme`|mr13&7!`%-
zic{m+9+x7v!Aj_g#41UxfJv_7a*@xdW0tS&FRS$vjv-G9eGbpb1m28x5I|Ch7KXX&
z>>waTR`YJER)o6YJu1~q&aSSx&XYzKIwmZSh@#O3)!5;+STN;Yq*eJs&cTL*91WrD
z2m)OCYy(N1sQ>kT>jrOi_~I#z%jY+XB+Ln$9T$CO7Xc)n8-r^4tor2DSG+zXt8Oi|
z(mLS?5#o;B$N4BE1@!AwmXgmN_T(9b&wfsHlx2USg!=}Uy_Sc6lH-VmkcO>IYk}mi
z1Y!#l|1}G*K>g8|g#{3#sY`kq_tx-@=!h65P=`n4nEsxc;Pr0Q-Cb)~U&F&YABTY{
zNaa-e(rSq!(zo{Vci)e-9+=_*XA`jV`n~eGt_0jT5uc7C$nYWax}ntrH)!E~4#fx|
z+cy$ke!rK0c3<N2GY8sF#9ZY+7>lc_^<&DCDL){m;gG9}ND>|)k0N1Ux4%$ege2N~
zWVTX<A2fpHn~z>4g^d~JjU+TVSf`Ms{Df5TPg&Gy++|*ghDDYR%1pFIChO3Tcla<7
zX5Mk^NKxcuCe?NN<*g7j9o2DPw+&h6<eGihYQ(aerc7x(mViHHfS8w}2>Wi@Q)j|*
zNb+;8MMig;ZKOf4-+6e)K#uWXwq>sP7}Ri@DpV$`|5XRzX8i&mMsSSlW-;H1{1Z*?
zn34Hz_hrxUXdnGsuGq!`jd{8DynfP-c4~4e1Fx-LV5o*`wZc`QS2jfFzHW2(@k}Fs
z%G80hK(yz`RICqm2}YIpV6S<l(?G=BW=raOGK^&4caApbSs2ZemA~En?ggVVE<uj6
z=R!eLt52IRouypb(ILG(CyD-AWw-qvkQpi%WHzx0+T`c;daUz&vOR>L9o5s5*f?KQ
zG)=XS@ub9%hZ<Lr=wAfU^1e=PS*3ZFfJ#)Q)$CIsC~uwSab|aZTW_eN`awQ~vw3$w
zqefO9VZ60)YK&T+&f}grin`g+5pC4xoc>~Bjx*3^WXJG(vC>(?&Qq}H(eJO>{v%Ml
zNuMmgK@U|L6~qh7xa6D=PED{CJ?@-niO;}SqUV#4Ed52u$|XzRbitLcD7cvOQuXCU
zpJ#>tda(JAsgX-v0cZ$ias*pm`fms5-3GJYn*-$Abr_YuGLFgkrd2i8`zCv`WlcOz
zCO%T-CY>Mfr<}g54sf=-YDBqD`toQs^u$u}&kgoFmzd;pd9`z$4XX?f(BxQ@NdF)<
zfni%5rTl#>7T7A@X+swwePxh+%m;0YS^Y!FuzKkovDKX*o`{Rqc+9O~wmzzcGTcZ1
znpxkF63sT@tpU*~&6ljqy<&)`ya_Ig-|nnPI0_Ws7mT`fKdD3CLst@PH)obs3DssO
z)w<CAvSAMXG^{T(Fxe8aPHKvbEo&A14&AGB`JsC%tG0CKO~fxYR<uS3^rKFaKB=>|
z+Fy}2suRyU=yudxSMxe0vh@;t%1b^=3az=Z;j6zJbGT-NgW2Y;xj1FM|0rd<ZIYkZ
za53k4pBM(z9GUvK5?KkK+e#cP&B@+$d}7ta?jCdTfYG;38^FlC!+s*5*HRnY*JG~3
z(x<o;+~y=Jo*lO11jWlx02#AgX}tLGolicQzCiJp)kki@M_G;1xA^WclTbm_)EO*-
zY3(PKIAL^lRFe}1&0`@)A!50)O5X^n`Rwj&(=kmX_DPgl@XT@zR)uKu7O2X+zJG&?
zB}E;UZo9t8qD0E`gh;R7kW^6N;M_}F@pfZ+zV9!3L47;xatIfd%*^9&m!CcD>8jHf
zel=;_s?zENN5{*P@XUP+qGwV-f*h7HM?DKK%*0DgZHt)yG%*Jer<Q(;NL@hf6sjXm
z{~jHFMSmT8s7uvgz$??-*e>rR6F?1eIKN9Xuzlq+OOb`GQHd6v5iDyI7Rlj!fMjO&
z4Hr?GrVv@QB(tMp9EY9DA67PWmWi_PrLpgXeTmPB&VHu6wDauHKLTxs&VJ*exnodN
zaGx+d$d0!eDL66)o>@e^ywfLHC<*2u6PUsu)BJ%En`%+Xos4@0=Y_u14e~QElRg^B
z!^?(oS|WMc6%X9)d7ay)xchtXgbRu`-L^Z8CcAsBwey{IIqaH(^d)E^XZ(($GcJS_
zq-a8K(vB(zw{G*wp(MUU-Em8QT{n#Dq?2e;CH!x@{zotW0%uf(L-0d+!Rq*lp;y1s
z_2GZFqkpWW@)X>9)uEM7=|muzAv(k(a1-v^Q0S%LpAjck@n_uzUoaD5NzROo#aSly
z_Y+SJ$z$7YUu52RSVF*HfRv+hnwlG!xSfKq`xDe#Z=D93N@z-+X{p@^Fd4Z44;5wB
z6Q6$v%Vqb_N~+QC64<;P97fDp!^)J`YPD&jYLB%CNx#dkv?+|^QQUhHVF!^cd6;)e
z9az?RQJZM8Tv)_v6W00NWH$WIf|m#6%?h)J@9~zLi}kk5+tKo$6wZ$yyDYC(QLTWM
z6O`%OROX$F1B?jFiq~Vcy{7NwQWp5;lI37I2c$xdH==#_7Pj{OX!~p+zkBbb9Xl3#
zX*bj@9#%A1HvQNLX&Onp5w)iJyVb{z0_?OX@dI5lI5+TSWLf0zMLpRWx9kGy%xNrF
z0>1Mw$xpu%(_s8a;piH4+uMr>sMQ6?1opBQ5+ws(mq897pRTEM&Q`JeYJz*C#&=T|
z9O}=i8-%$M^rVsR0!OBB`)aP;M$DCoGTA8}V(>wo6gy6!D%a#<z9X$XhEbB6k`1n;
z>|>D(*WJVWYaRH>Lt6(C^uvzMenOeh+*5viYWa#Q82t?n3tdb)8{q5Adb2HF6k#0~
z<KowJ7NISM7E7RK36mccBD9*g`fjTmbT6#yjzU7x7jA-FRwjIv!F!G>@ba3ZWpucZ
z;Lgm^jpKN>(ZgOujErgb%fwWJ%p0-+t&>lr5a~yV(znQ?&&Q(;A`2yx=2eaHo#WOV
z&oHg-ISG6<2Zp6i_cNCYg=JoNS2^6Kxc$Q?AQb~;BT~I@_-Z%3YCQj7>pnZ*-OA~)
zL35OG`1gV3JUL0<fD%w9fjMItf7H~5U`xAK2kV<}KIrr5$FcN&Fbcw*55HF)zHgy0
zH;=h@ES^G&{&672Ri^cWLj*6l?A!8^vW($u7^G|I;TwIQ@e2jElpY!Q%|93DPbp%l
z5sLs<?!nBJKa+_5<k+!7Ggs`d6uXdz8zTeMsf*k#i&H7i4G+8Twt5Zc>NQ1t@S91L
zNT#t~hTHjw;vGf9w)$h<lbFAI9XVZh`mWl|?4oM|!(_!9QOZ75>+tcx<T=zoq~mKT
z(`T6xv!vNPInR|Xk&L0{<LqNh%^CyO+c0sW)aa?@?p+G9)Y*58yh;$fma*`@&>JOZ
zr3419+EyF#;Whz+nTy4oZR42<_k)fhi`yLaHdc*qYjr}v+2!9*!+Vd0F?nSLoT4V?
zj9Y4!?u2|bHK)R48HG&4*^Oe=32bwD+817PD*J(xzbhsJ7~ULkrGu?j-W2e0qQ3<&
zV$0qUQPdU`Qza17&|^}b&3*O?J=N4cogg{W&3jNIS&ei=ymV3$xJ8ZR;d3K_2CT`?
zyU89GAE5=*hpF=wtsb-~NSk@ME@HP7n@Srb_5FD1ot}za7Uy<BUspWVGFAR&#RI)K
zm&EoHn1^=C3$sp^z8KH&Wr}lCu458$V{g?gbwj9dBctkTv6ZS%ULa6!<TfE<$kf47
zJFh(<sGduI@ntnEV0ypvG=6O<W_<T=yQ#6$xzvT+>W3DqoZ}Qa1~Vu?jFYf=jhzQD
zO$GScS(TQ3m5?^B1D>d78W8_U>F*ftYm+L~n2-BhHPw6@lu7+uJ$Aa@$x3qlYi)Ot
zvpMg|nFgr)Wo;K$CR?K6_bYq_7AM&dW%{sgIZ2iTFk=}M)fJ2@vJ4{;LX`2@PnSLa
zWwc?+^80V70f^D;vU$g!lR18T{dv+&4gCZ=tT5~bcjNM~k$sYcxw=Rn_U~jAv(+xu
zm5B#agL6B}HXX}M{C%M+AqRYS{=415F}|k-yf>?Be-;fa$bt@hbfmZ<Pt9b)&b?q1
zn*|cEB5DOwVbl|F?$Ea}5r|*!h_PFv;;vuIR^)0N|AwuHATi%YS*q2Q_y(yJldhf@
zYEV7gzTDNyj=%(#W3Sm(FZqGNk|0|;QgX$iA%BeyVYBBX_%|(jAfL<OmBs)$a_+dZ
znwKtw=`~%Rer2$r*SXNK{HeM7=&qGKt=v14k^aXjk4QdO)jibSP7g&4#H#cljatNE
zc9o}9HN>YSxINRlZyr<^5W8^|?SvXrAKH@RGm=*UqV&7D>|#wpgj9w#-JVe1HD+We
zbwFWHR~E?=zxod@FKx~S^wve6JTXKrNbW52?MVspu{Rtg)p9C*G4%*oUI3e36~98!
zcdSqIV@%G*?-`X!JrS;8C#LRbcqutKbYA^<ZwcLYZ#=ivoP1=M`FqJyiSp&Ugrkpz
zMR`YvK<nj!_^0$@pZtv@<fB?&hjY<e<CiA8Qy^p~(4ZUZ4g+ILzOY5j{%2^%_m%6;
zk1!l>v}WCnd}dDSouP5gq}|`t&-Ho1r@Owo&>d`qZ`T2IT;uQhh^`qGonVqqGJ%0E
z=#7P^LoeI-FK0$Hvt(_cQjP7$9ttsU&RIxR<i3Hv=AF|Ox)s^F(tr%z{PuM#GWq`W
zQ6BqL^(-R`_>tYqqvOMw`22~3*3G!U)$!1mnhQ&uYtWjhGep);5}1&Ln4ij&fPRy%
zS_DxPo8i%y=fA(5I#ae)2T6&(F#UEaB*<f3>-c$51U#hlO%1{3_}Xlw?ams*rQynr
z`%)cE4##&KxPno}#n6j~<|j*+9FsF+TCt<39F{qz`_qviI}rB)<MVMZzl1X1v75uG
zLR?<cm44)QXO9t;hku4;N8b%UnN3=nu|qiVWIfbVd{qZfm95=3^|zwNYq|!`mVd0F
zwigS#N&lY`49JVG4<6gTf(n3Of?1$;{TVhFlkL8qsR5zA&Qf<hdLRB%Vnsu0yjRv*
z#S^R{HgHq<{%4Nj(Ip!+gd283$p-OGQ)!;JS4NUQ9AXe+9!V~@b>0R&KXSEnb7u}$
z1W`B)+>Q)<sZfgwoEJ`~2#Zd&ndaXqGvYn?Ig%0DW@9C4MosSj!-rmspLE$4@9!8f
z5ygRYssU}duVb>~UwB|GXlpj{ozLECa<7cLUs#9e-n5Qe;<p)}Q_4e@v^yT$e;$@c
zLlWZCp1wO%V0n177|QxMlh@d7oV6WZ?iPGCNl@X42=FXzrOw@<EYsd@84II*#rAx}
z?dTz6C(9FBl3s}-JO0)N498JI***D!W(v0_veOw5H&V<68sCXH^yI6k_4?|xYO#e{
zq_Pd_b~p5e(hJiM0SDNKZN-;%w)t0ivkO)B`<C5xci1B|R2ti+E#l~<Ry-x&>Mxbo
zZp6PXHami=$ivf02pilCW+h&ilCWZ`ySh4@yr!9^M@cwVTpdZC!xUaVyUP=L`H9-E
zN#dihlb(#E8Hme?krdykK*v^Hjqg0m)`nf_3}Ju}k04QMw>kq&6jyN6i>3PS>{q<1
zX0SAR8ske?oS&>Wl-mPRPMWxLA^AqHwt=B4WIAX%xowOxHHdlgs}<I?IVm$NUBBxq
z+(nxg^j6l6RKC!)lSFg1PD5k~vFs)(Jab7vb9Pg;vsvaQ`@*YH#f7m4bawl0(96OP
z=I3oSxKo8+p5EtH*^78&9;ip7vLN$uyPa;Ek=69>Modw|$IB;G0melW-DfH$OZVli
zt2@IjTNTh>qTUx-y;mV-Qq8%XI_%u3tK|HPH|6cl#n>8EW|rR0D{RR%^-PCqh;{aZ
ze~n)PMn-1f^zTNvh})wX{VpUk)fEe<g1r%eghxBumRRbC0yT%e(9~UGljKFQ;W)5a
zr6(##<~MwVvhF4<;OB&xE?HS>WuvVpuX3e7fBT|NLk@KF1fDT9+~jJ15nY)Ut_tEa
zbOaD>DF8fCJiK||x8VRHA&D~BQFwD?%*HaO5!iEB^5QE4z@yWrFrTf%P98bc?-k}g
z{H$fKz{X;$46FD)Ip@g?0&lY?&wWQCKzB&OzC0)<#6DfxW@lr0v2LnU%7^ftVYs4I
z*I)M-`<`sdsUU9oXS5Vmh78;>73Ss2mbd5hHq4&s%z$F{Z_0cYXw&x&rvGJ7SKh5P
z7xW;ZVcmnHg5JG*6WP<BhVL??FPm=sb>v37&`Sxq>cOXN5&6A%-$}K)G-Rj(@NJAf
zpd&L{9X>rNknjv4T_F4d+PS?~ow;VK#oxgS0UrG1gi&3Nq;QDx2(}&8bf~*rL{`Z>
z-e%QyEijg^{t24?40{^(1IlF>Awk0Z^*&_r*ta@BuPuiP^5#)#fZ5sPc%$AEC&vrW
zccVwNntHsAs*5DAeQg!oPj;}DPPaQsU!^&hC0s}d<wRE99D+1r!i>zOs07}*9aimN
zk0FwLsPD5F2t3=mp8Z21xql9oN5jsUOa`N-E7u(72?Ja3+SG_}f{xd%HJ756oc7AF
z6JCTVWxHy`rf|$0)#=j<Ag4JKWN9dF0;;r-jE=GK4v!l)b8M-$XkH%;&Dp!mqsmu?
zIev&w&JN+>F_@?*DZFV4VBELcA2zn;5Lx@GR{?4(;yOW2sw`!!*F8VSyuqd=0KC4m
z9Mbv<k$Yyiroaf+nkowd;n+eiE$0jOlKqYs`>4QFb}$!C>yc-8xDQMWCzb#yAy#%2
z?m%DOa=CR4X6f%k>iKTW2QF-sMjM(`@?ka-YWN)A&E*@X+OlG*e~dD`<__?nYdL(L
zZS(Uavoc-v_|hWx0U<O`VamA_5~OvOS^r5~i(a^uwl<N(k@KA}3yvnl0oH(=9<ho0
zVo>EJ)6d4|!s=k2osw2<pGfXA3wa+W1A`1{tlfY-h^be%0nw&Zj5Lxn@d(Id@fRmn
zi*0k()$oc~cF#KF*nZh%3a{tVeYDQgp7dS^!3)ldqPa9bIm_I6I>&!oC0Opa)~;t>
z;S)1G8T!oCBOg#$HwNje06VF>VvQC|HT{|yxwVl>S*l!1wW8y#v%oi66LIF;89VfH
z=xiuKEmxN+u9B-L{(xsj2N_y95YMY;N=sw`X>ER4%wE&OIv?<dOhWI*ezb>-nLR~v
ziy%=~wR2}1uLh?q%BI(`-D9KFduxhZ)~XLOk}ILpq)lka@)$97x4O(d4j(?tgn+}E
zxYSI^mR8bIE)$<lqb;*WcOHC*|CXO(YN+s2KL*$}ymF)k@B{<(3?aZDPk3W-7p{xp
z)&dMy8N~pzH#VN0_FMh4X;vY_5Gm?Z{Y3p2OyQ=Yl&N6>RXb&iYPXtfr@~LWPM8h7
zyZV+|obH{cB)5hg{z&*q7YoDkXQ+qNNM3l^^%tDf()y()Fgs+XHCJ((@+S3XLvKmU
zaJol0<=1m~OX+==g43AzsNhGs<%Cl=e|M(<6<_AKsko~5=`UI}VC?uk^|Y>5s9eNS
z{M0qWv6RN4dDwI4v|;{3F+mHr<B2rTRmHZ-vq%Wp;Y>t_xZ15R_Z$O+i+^-*Q1t(p
zYUSPH9U1PDm2Mx?pl(gQGW`g9=+aw9W1BkcMJ$DKy)pKEHr(Jn%rcR<^^d;p$iv#&
z2Xm7P&6l5YIwv74yNMgl(+$(EdmhtAoB+=FC;dO16<7P>&r+Eqoi%M<DUEulne;>M
z{<LZP0#_1VK~YBS7gip9<@oB%9!;SXAmCjMLi3wWsU)fj@^uUXrPoWd3gr?&ei7g6
z9ph~^DNQzYY0W0$n_k_;9--QH+<yzGshuaKq7gf3VQHk0#>R2z%u0FPjed8B{jv6i
zOj`A>sc`@Kj>fu1`K*f8)4B8Ix5jHt+EBLIYBM*#o8#ZcDjVL5GoPr)#VOhlcn9RB
z5KvOsXFClF{7&?}P;QNXnwohZp4j(5&M1Ro^on)E^74CB1g%D{NE0}+mH;_zRGmBH
z=Ea*<gU8!x!|Z?hu=6dq?#z&KYvVO#<Da_-k62Sr%x+qE>3hy#*NmpJ@r5Er1}-k4
zYJ1A_uZ$g-WBm9{s!f1aVXis0FZBVV*<$8BvMmLb%Ee38makK$PmRwrYLmkqx-ne3
z&L4*O#_%m(!xNKR_}-boI$UZbRHE*?WobSst9^G%z)*$OM5m)3J)fwv0akxW{%AP0
z!((3tChJpncKkkj@egaX!DFvn(tyEQQ<qk36$Q=~&Lx$R3ve=v#{Vwn^V=0xT?`s}
zZlpi8<hkR;x7Uiw5eZ9VYc7-enF9j7tF1^7JGf*RcigXM_XJPY%=$^eD>ZQw78ZYz
zrtUNp8;0JdezV)?ze}1s0cGva9UBZh!P{$b7}i7Fg}hTt&9~Wya?02xD9&9vOR8|n
z1QH(dwB+Gm+l@b5az9u(aIp=noM4(g$BmW7M_9>e_wB<>um*4QC{v?teU@n5X!HXY
zAF!Uw!#XcmhvdR6xr@8@nY*Kw`Mhl*e4zo(*l75x<Zs=r_WM>-tOCz1R#+6iwJkRJ
zJ9px$k^W8`0x8ZI|3_2p?6Z5$M)Ai*kDD*uvV3{T;L_xG+}*VxwLO&Ooh4o^7nfU*
z`BDLo+`a%wxlP8B%+k;(NI}0FQJ7r+#qiR=jXMSx?z%Z}68~29%5h1{Pq)c3-Q1z1
zE&=;XPVJbY`d3$6ODK9d`Se^*v402{05*-jnGZ>hWnIG8`~v~n<wj?zyanyU)6s%o
zKSC}Ee7t8R=c*o@$8d}o={KAkQ*>4u>B^gGFE7@lY)Mq*s#j|6yir9afizF>KMgM|
zNq5R?g6ro5fAJU_DjZpHVQ$AW5mUg_?Pwe4ZP}42>UQ{g&b13ijm?rzWAvQrVUoNO
zzgnVoruVoJqq<0U*O-+!jkhEoXlD%{D6f=z8?1cRtKaXBWT~bNAw}}XR6NXCf7!!V
zShtvH*&k^Ph@aKNVh3%P@Yqr#Sel<VtRBut;~k9lEG-9D?!zaV&<`#bvoHOZD&94n
zHMD{TS{vX<aLX;2PXE+JPmLH7!(i-1TCOEk_h#w0rHxe#?zJgSsjn|Cp?OwWmbKg6
zo#ta4;=-E)Su;JVE;3#+U7uW%$qN~`(7N@zl3DS}<*EN=L0*;OEk1JbkhwA+(3x^L
zgy30?6HM}Zl}krY3qa?f|5wv{3FfRT#NNSGXS&iBe=q$A!!Vxj3g)&BcO6!H>tD7H
zDjzukDp)OkT%L_3gK#)gX~f-Yrtj;+HE#Az(jaNXTl41YPt6&>*>Fo%eXrW;n4;5y
z5-^>MZi~uIbdjQh|Gs0c`X$-ArIkZ_4l(v9#{FI7Z2{oEn#eppV=txj$E+Rb1;i>;
zektd_+#nR7oct(^Gf{d3&~gOPDrnJGkdMoqP|BbG@J?GjzSmRsFG;SuU$_Z;O=Ll+
z@iblMMw2Ik$JBTKs9#~OQlJy*3(DIGe2S-vcX#E+zlFbT4A3D19JsV1x42M&p)%5{
z9oRGG2}svGLBv#4(|=t>_7srrTKwrOWTzR?d~GPv{5=XGVb>3f#B~4i)ljN`dIlt1
zp=_omI8dhEID`VYH+jzZR)JDRdCoy!3IC2^_Ls3HRhHKrmw-p}{i|=FfeI?<!MKUP
z0<z|K-=!1JF?$egPyRu8qV9=fpbb0B)P0c{;35V{Nr;rM->;9cT+dFUzQvduQSH{V
zbK+f=J3_v)6hgARr)-gs%4_b>|LtNT3)-8$AP>HXtTeL#)+s|4t13L#CcMvM1^Ys=
z_$^}wST>3eBo-NAXs0`?Rkz9D|23F@x~d>^@tvC+YbEO;KN=RS>@uVPl5xD$a!57Q
zh+Zf(v!5KsP1`HeElt*^Ye`7)4In!IkLG|A=GexLv+^wyq7|YY@;(mHT=qJWZ5cS0
zm6ySYB3-1OTT;@H#*8RP|Gx+K&k&`RMLs_%I}>XJXITE*cmCb1E624L{7Vo2dJp~i
zZwvjW;~x9}X!qY2T8Q7}`;X!OX;75yCc`yr&wn2*asN~H;M=j!{tvNepWO>C_>af^
zb5i&})CDy6|FbwH<E?me0KN_{Fe7I38`S=a11@%BvVuI=^-rRQI>4yd?>6_)ro5i_
zHN$_8{aOzdGONcz|3lgTFY590WgCTP_%)V|8SZlW=sEQCIcig?GwQ3uVN53~289{`
z2P`TBtg18V*YlwhGuIhc8E{sL`US?kZae?$*aU$yVOPzrVo*D|SciY$1-+TC1Is<8
z7~+3m*%GkZ35WYGP<EHLBa$4SUH-O{Y($^tRiEav6&IR?Cwa)5`85y>^sgdthg^q(
zoyUTBfw-$&+{1uFQs|){1vgo6)g7*j!RLpoF(4)=dYKd)37}QS6e1z~0NNGij~Ofm
z)Dbz?=(1Ms;tyXQ0)mDyNe2oBT0P0d$t|8$c&>nO8=bMTo(IcwOIXQ(Ezbbb&J)?r
z5VMOEv+e}UOhUG&7~tN|++AG*ai_Uh`VJhrlZy*`7~!@x#?f}v&yHGH!kAq3fUXES
zj#Da^uN$so+F}9XA@9=Frqq!OZod--U~N&;(2TcA19QvB{bW=9>bEB5jmrfFjg<O3
zUPQ})y8z?1ypXL+06q|cw^k9jF6|=%heZr9ccPU24nw%qQla~fX1%=N3ze&6=&|PE
z&x8PmUpuE+FM+UH#i|L$h<BXVSDyVXZ*V>WpoeY%{bHp2&PvT-5#Xzp6aG9Ppo!Uk
zCiw@OXc5`Lj0ixs9&Lc27i}@unv~Fde8v!PZU;S|K{qq}>VxipFhy}G+Q3wd88$;Z
zLd$u12)bx66ErJNxh`oJz1FC%hH|fl9(_^+tSVbK1yf0EsW{TZ?V1te`Jv~Q<l&Y;
zGM+`2i=N*)?8G5){he27I657jY)>~}o`?{o^(X=kvC{Ht8gi@$oIJ3K?M7e^5CnLO
zCppM0cL(4q$t@_R5*Ie^f8dTH#VvC!`vR-bzZ5xO+ibk5YIaFy>b=1TfR+&=e3#G-
z(QBZ4x`50SJ*uGgP#ks%C%br@+Bn!{L>sC)^uD?8S`tox*~;gX47UcoqPYV6lV2Wt
zl&}^7011q@dI7p;uQnDrO28d~`*U$8P);!B7ubIhb`#*TziH}!rgL>Qj`OS8``-Wt
zeWtfD|AbFhd_cwj;6QD>kAj{iU_Unf0zwGC!)KDtbH`4m4#A>BBzAGB7kmYH^)1!=
zfaW<mFH1Y4w{oGJW|xy`UtD;|dQz6xxNy>oI4pAQF~XbX{QUe7sHa(@FhddK_#Qm+
zJ5J8+OY6L{0fue$yW^iQEo~PohWcSAAF_mQU+P`Lv_hGoa2HJZiAWM)dEGq(Voejf
zu4x|IEm+wWjJq_$31UY(FQiZ*U=*Pr_9T~UK>=7HrCkDWNGKODcI@-3ALCcCUh#nZ
zHmHo;i;Q(NpkdRiNf3q(Z@GCZr`P4G-(~rA?&a@df0O7hLV)J<7_BG+R+t0uaT}di
z%zk@TT)kk-Hyl8M2>6(*Q{9x;W`^Bil%^j6ZZ8+}&~J@>sjCz1i8}yT5`mus(SY-2
zjQf!+A^n#kt}TW2W(J6iSAJgruBL+5B?SNv{hW&oD*%S{$Rf6T9CtOo)))Y9Je0z1
zF7<U@>fvq}j>shdg2ZrLeB{E%159-R9&hFbWLuM#lj}Pf2h-r8D4;7KhUxrnWF_vh
za;=aHvu(hr4)pV;$sa9=H;s)`zFx9I-2-Eyz~@%raI?!Iv!oe0AbzM^dmCO-yD7jx
z+xtNVwsav2{f3&G?l_l_!(E-A2A|6ZU&j+H25o071GJI6MT0w}!8b3IRQK@!q_CrG
zeuSHH!7yO~6Tnf^xJ$E`bUw14qD|aYE-nO^|5l!!QU(DZK7^WG!OV#8u2MRW^~MVA
zfqU6&YimQGM<A^7QRBGZ=0mURZNxj8P&P1NMXv^8ARbGTEL~1D9`4nSpI<uub2`#_
zHG&riSd@#ay;JoLAGY7+iUdf~DhcsAE=FC#ZPsN@u*gm>@DV-O?cK(8Ob<1~otX`|
zU^iVXU0i6EP9874jukw=jyMRw>BsXw0J3DB%mGpVpFPdUP8_BQijxPR1B0$t12fF7
z-qH5Ydsh=Q7+U#@Ax$6={a2DuA#8Rrtalg&^26ssb&&>Fp|0J!)C?o=`D-@-ndJcN
zj^<+dN6Y{W{9hvQj9jBlad+QU2J+06n(JUs;CjR_k8B=ioNk8V0LC}KE^P8wD>Q2<
zdZyjiVRMZJyG-Ni<rT>;^==v6fj}QhVf&Z5maubBBjcQZ$ujnl#((=MYO1j#42)d^
z_g|av$Cmqihd(>`vJf1t>9<OM=ip2qpkT<+Hu%>)Kt%fIXtI1EqxC=6{r~%On*T2;
a78du}S#`jdHhl#Tc&R9BC{-w$2mdb&Y+Gdj

literal 89473
zcmb5Wc{r4P_%=SJRpF@=Wvh^Vt7NAqMT5we-6$l4Y{@cc(IQKYwS;6JjO_c+g6y(Q
z*2&I{CCk{C-*xNxe&6@~^XE98<C$i;=W~CS>pHLVJg<3mQ&W|J{uDh5g<?Qozp8^m
z?d3zEc5NNl2hTX>mhr&<WZbS9y6HOIb@RCGVvV|S+wH-9C%5~ycTPXFc5$_Ja=aia
zBYIx=^gTDX2d=VWVh;cN22m#$8?iH*blq@~gAcA7xuQ@^w~_yLr75M_qIRKB=&S$g
zJ^C=!@A<)0KX!Y2xuR%kfFvAy*~<0iKYI`E-o@<v*qQs3_SL;#ZeQ(~4Ps0TS^IXx
z-Sojf1{VM9F%_p*d2{38Kh|hN9{<b#TyHb-nxznE1Kz%VdIrh(GTDlhj40B=+yOn3
z7d~U%t=|LNylPm($_>Lo{-SR`Oy2+ZA<E+R*$;dEKE8S6S=fKi3O;#o^zXyV*Z$Gm
z{r6$ofv@QQUO)b?^ufOmKb}3n2ls>g>FpUrW)1%Q0}tqVp(48aIih9_yqHnq?vcEb
zlAUQ8LZX&}3a3!fvSX5{1%`!F{;M^G$u%|a1^R2BF!2Q+@nc3c3N_lJ#@PP%4R>V6
z&PTe_{k`!2pCO$7Klk-mjmd&ACvQN6(XgUYUODu-u%}$vxuoD@?s;dmbNeNwe~FQr
z^t|{{DMqLN(b3n>`t%d8#<X|mcJ>B5aAC*Q{Y#^{3o-}diNtFm!`E{K6@*c`cSk(q
zj=tIjuc#f}#k+IK3oqf_`}VINr@z+O+IqI(Z1|qBFpHb?FA^z}ldZokl>VEh3ooBb
zTmF$ZAjD`3-?|}wuu(VCTHr(mjtbXwOn$L*%T-VQm6mz#vk=p#<A_?&Ckik!Wbb@Q
zw9K=xVU<oE@ya<lM&y|)4etMQ!~f4hw$JprZePo|RY7d~#{a7@%M2cxW46~;BRK1e
z8w=)|3rTD{*KFi~i9+RJ&cEyEDX47g_aG-U#b6?-rTA>8RvfQ7?LDdd)~wICcSl!Y
zX4|*E;elnMhZ@dzy_Zc;9{0|@{f5*88+ip!T&dpH;)`8uR%80R%^JC%h5gF9dgo^R
z%6Frl{7D%RlR{G`EcF#WD@zxH$&T~&N+gtwsTCB62p#0BTuk1+B^!(XorY{Ii=|19
zA8B&k8IK=_XC^!kij1&tx@Xjtma6aLyLIVWs$~6Y^>VVy@*z|nYLMq4RjP6|;*x`x
zCNfU90ncs8Atpob^;_0?-MEDlV&?K;%E)&2H*z{XYUiz`mScGRRk)C)pj@2GzoRc7
zxXRzYSF(Oe<bjCC`cF>FaEaZ~eh2t+OtchNpYhnzD3aFOtionJmxjt+TQ*q~mVWK)
z_uJ+USO|>TN9yXD99OC|6)XQ!Zf9plYuVlqjrAPs&UG-6BKsuzZc;J#7RI9V;eMAZ
zW|?EXD5`2R+f<Aa26?%Qu=zAn*vQzWdo&93Nr+Ia!GhV)<?x!AS^n2&>|H8Mu3u|n
zD1p=*D;M5WYFv2#-N1b0G1?cVxRlGMm#H}pCS_fjo(6*ttJj6%oNH>`$KKhn5Phd|
z7}iF`vb$=6wfNs&zxVS~wd~eP(F8ZwYV_H+*XxG8<5Dr36ubTh-)1|1=IDxuWO>!f
z4P*_6`ZYM#DwuAqJ5Lu>l8~*y=D1SvaHcOICFO3cTbmqhkSSjKkti;_>285z|LkHF
z-7>YBWji4*&QV`qpDLN{nWd?;sloA}N-4P53B6V$MZ`P#3}*y11Y$5~7c&E;?bXrJ
z)iJit&d&5}uOlZmXSYAz$~M1{Fpli}Mkyl_sc<HVC-M3F&lK(uA4{tsE1r{<Ry=i6
zvJMYjjaPe_$;3um2DwVZEiYxv^xW(hz3IYSJ#T&u4q1gb@dDG&^cFtI+PS;C<C3B<
zzDDb_+w}rua>epM@(WI{o3-q&AIultEAI>)S-BckeFFn3@+jjLM=GgeM!es(C3bBt
zRP2_ra-ydE9EYy&)SzSWpx5SV%ktzKW%E?-P<i8YJ+)B9Qu8R&d1Zx#MiuNPmHd`R
z-+(j`bU~3&VDHC^HqIM+8nFJTpUNoofw;9srg)RrBk>vbZi_!_(-IQ2TjUqQ38fSp
zuf?CLZgbU9{H%vh5VohC{LK6|hPm>s&@q~dp26qe1raKiSk`*UanT(MB`ZURXhoF@
z3B#dE|NgwE;kUI=QMxg&o^RXkTKfBm6AOVvCa1m@+lqsGBvBZgq}3!P3+$Z8c$j$e
zO<Fe7gsM`h-hR#%J9L{wZMilboii-6g6vrIa6Z|0f6&^>c>MM?1zLwn#UO)fT_H!m
zJ1Ks#Viv3Z`10jhFH&8YmnJM!m8ngTwzr2)+_=!GhxyAxr`$c58Xt|0{Q0QcgGCvO
z_OVYdMlVYmugFdj59p@yX~f=-5WFeyEKFBV_TOg3RkTg+z+%cVH)@s?)r4GnSxc!x
zTgZU;Z??~<QaXX)tFydJs#N?KzcDg@Wd+&P)NozRE+^jwb=YQ;HcIQ)Zg1B!`Tn_x
z{Y}S5B~=pdhCU19+WJ$wIJ><S@4}w?AWlMMdqD})&b7U=Ut#XMrB{=^dB*$qr;x)L
zK>u|}t*#uVd9Rt<Pmlar;yQJmyzN}KJWk2T?%<8uxLLV5U9k3hzg8HJ!>>Otw^nME
z?p1CwwrcshlzjS`#xu#yC8KQf!I_d2*8+!(QZM9}-qm#tm*lq^<+|v!y@c+^F2|Ox
z&&Vyp5ir8(>FQ>XH)m7|^7AA6wgOl#O-|*tw89r%XE9r}M7QPCo_G=F)aRi5Ay&?V
z0)v3tEZ~`h)8VhUF{ryp#bA_?<m<oJ-o{C-E?=m&Fh5`5TrWZ6KsZxk;MRqV8<$WV
zPS&>F)Wc=j{kL)%8D5I(TRu-eW;Cxvs1-WJGPeI~oq%}F#AwJfoNZB?@=1MR_SX5x
zUrBz>23fM2<8kZTZmXkF6qrku$}O5CE~&84T6X9qcfsAJ{RKX&=EKCwA|mbk6>$M{
zj$uTItX%{$D-+6GYxmHWvDaRo*g5^2-uIuHl0=N&%X8FE2iqD&-pcl^+<D_$Rn9hh
z^MxMgep0DBscu1jv$t}y_T}#-xWY?hi<fRLnH(A%5h>cx#<|s;v^o9+jkdG3?OY#N
z-nB{I-gNugV$<}Vi5Z@z-}iKFrMBfKpOR;!W9ekg73q`o0V;dKaQQ8Y>y%byrgmkf
zO?MsgtluWd_0X3jp6LP-J%`VqGhPrG)p+(Df31IGMFvSUu10=mGvXcx@z|m*^%DHe
z29GpxR0sRq^^P_^8fWM7#jcxry^KkhuSBHk&uRT{oHoQ4>DB*kMjua0obpqPmaRCz
zmwNBa#v|B=sgq{2vPOOo@fSzJLaFa;;<|LT6w;{#lMFVeji+1dm6Zwl86j*WY=p_F
zfsPJ&x9%Uj-)`J!nwQs7Q0TX&D@gxwH*c+fme9%J(U%fs?uD+i`ecQhnVMo<#ya$^
zNTJ)FGHqQ8m7i~Y*+BQ$-`sb#`YWkLY5N1uBt+i+msC!dA3qjq68okZWhX3TLK0zB
zz3Wz66qY?Uhgb|IU-5D3dU!;c7G1QMou1ZrbzOMIxgC+ck$Pl&^jq5_dCk9Dj5n5+
zU%@AUw!<@I$ev;!J`tS}NQX~w6}%KV$10@3p=F((zmCeEnoeaMVDw{L;MEX0cv<q{
zXZ*%w&Wt@{Ksp?A3!})$qVHq0+?jI2Oto4rzb7F|TYJ!LRaO3?B_pb(TWbYt@!PBK
z36)!ExJ_nNU46;(AM3?3L|M#7#n?FGZoCk~PRb(@*LHQjVsT8W@*0iCK)+}ADOT22
zz$vGG2Kaak&H19+^bI!eo07QL+21(y;<K~4oQ*6k+l#r179R$4H@mW{y1UchGyETx
zA#4&_e8!I9lD;u1U1^A%PBs)ihc2BZdM|D)v<SvDX{^k>&N%m)3xo3^$N$;f*&Y$I
zYy}>?qw6X;*Dp5}45~35<Ug$uTjQ`xr6k*><u>72`tZTaucIdSv#Z~@A*t)70jEq*
zL=q#7&&Z(7Zu`b<%}1>lVAn4>^emQdO~x~Rcw5`N{pnGh)KKo1FOQFmM=UJ1v(d(t
z$f*%Rp&cGXSM54t7yyr=D+@7m_4_l5`X9Cw3+~Cl<44ztUf$jSE^oRRd3cbXae9-c
zOAAQmLTb$m@>*DI1@Gf=m<)|~8Y)U_Kev%gW#Y0K%ohKl!xBlZKO}1Id28uRW~TaE
z+S^)&^Tt*&3x5}Pzw(9BdOSr)L&Uc+!S&&~4_$KyhUqI><Gr;};MGr-80Yt$9UW>o
zS=onn-MOQ@Q3~r*<c5B$XIUmi*Kr}TlnI=L4leG|(9hhW90%_X`euU)%4vAhg`VO$
zC)tfZQbDUL>(fP*aoDAk5Q!6IXNrf_MZGuX=0lYtVQ1)NW2X~%#}!sb$RnQSbuMdg
z;k3d+$E)J+)RGq=P6icYdYh+T53h57vw-_RC4249qi9)K!xp=A?f8RVHb)Jwk6A{S
zmVI=URrJ0c`Q34IYq_$$UCT+>yBqR;R+RbL3rM_3aA^J&%_#pzAE!4F7wbVXE28Gq
zUJ9Zr0!BQG_8NLstKRH47;vL>jUv=AkWyHvSy54;mfFrOYErR=bzxWCUautoT$=7x
zHRTMgRew@hRJj??i#9Nw^HVz)7O)^E`;Y=p(Td}~J+LQj8OwRh@cYCz-F5G_E+O>t
z#pY-9t`1eJGlwoyAqN~s)=g<+@ET=$`lNGZK>;8Z4!MUx#fRZ0t3>O9Qe!Iw&^qd7
zhB@N2%c#3WeSsG0g${K&B750QzW8U|thyyV!GF|+nL#EnfDRuxvZb&36#r_UKHDKY
z!H%*%d0zKU5vR|eUD)L^a!0OpgZrN^FVad%uGLxTATdE<Yb6nIYW(JupCB`R)34|d
znK5ZV<ACV<Kf*vJ{OQcok-6*2_A^xF^vs97tQ6|Wg`fwHN53=N$7B6;3=C4uHz`l^
zEo&bFD6Wv5|DlhhJ(a$(R%J}KO`NA%{CZ!i`;Rl(x~KnXwa0j;nXmUK7r;_X=EZN8
zi<bZKbEBlsc0zhchK!@ea}+@<wVb^lk7@b5*cw(M8Wv}VX?mqXoZp8X;pS@1sU>Q6
z-&gS%Smmpr=<laK-aixbXL+<UTk(2oye}T&j7XqL;@U#|Y-fX5Wzuknw{C)N5l_W(
zMe0Pti!Hosvy3_tkgg<r=ES;H$U?$(&z92wG)ElqWrDyN@a=Y%*}72m@Z49$cW}wB
zXSD}lMH&qV;~5n~B&)o0r}UI*jU3#&s!Ua+U-hqj=Tl66%A|OeNonIFr}vaLU{5ui
zv9Yn+(5u;2Z?boN(6r<`7DiRKpVySSs#*NBs3fJ#)VQ@6a~l3BEs@JC1<)DMIUp=#
zc%qj~ysor4$+Y<Uso&3bEv4kqhA3)S{Dz;`H?|N#HqAKSHKV}VVXxnh*B8GZ3xzxy
z3%LJ~dODd#2rJm$+CM?6+zR0I+t5aWXL@O=aaPuA+SYPB9_CZEZgX?o&llYgHJioe
zSZq!*TV?}DLJ8MZOhUka($_jIzqPzlDxueXIGBnos-&bO)skzS1-tUiCfsy(A~E#m
zUKSs912gvk$Fk|W*Ulb+a%B(!`iVl>8<j_vO-xKu4~ecs`Yz?EyMJRKu?VUjM92bv
zcFUkbcfJUBY{2fq6L~E>sGu0@`hp|ImrF~Bdd#>7?_WwJ5FG66j6Yet(ISek`)pFj
zsbeutP?q{3g{Y9i2N`?C4T4EzN1th8b93>DrA9^zqJ=q~xPjYJYG-#8&cUQ7BU$b3
z8{H+Z9X_GAE4<7-Z~QMo5q2@!rL!~M#4JBe@w}b*K@@-JU%ta1{iBrFQx<l<CXFbY
zREjSt*}Wen`0BqG55m(Gasn+2#}CTbWrgZ_T}O%Y-6%fO9Ks>zw$LO+9q^v*JS0~B
zvAJ0js+vhaADu=vvB}DeGFIOm_U+rZ_>^noGKBFMSy|bRo*sNr#k7O$a-S<eJjsOG
zN&ug3b-YpchHHXzh1IitX&LU#GUF3JxI;fo=<XT|*j~$CpkcP%eUo1x8A+I5&RbV4
z#Z0C!Ir)Y}_r<DR{^)lPMn^ggFj;_)V|vOx^FkEY?!m4&DLeJ~n_Df1#{?bMia(s6
z6daZB=)u^BJ+`Iu^+L!QoLFqvA_<w#(Qi)KD7C9X-ncSOo--_RjBS>s3On@VqcaS$
zyXyGjGsolo%mMH|cPtr=e5H6CMuI|}%T#)+-*Q<6m!Bkozv+MN6-wOb*i09;*P$q#
zNHiBRAPCEB!@>SJnHo<p6i!*6t;8hUbj%KZEk-ni?+RU<3-vRF_%KdS+Me;K%xDlT
z)7ajc-6rI<D0(;6PE)Dv2l+mnu614ncy9ihMJ$rXflM@;^=$FxK^KvI%OK10&AUx>
zF<frjSTRdo=k{NH?#WPfKfKw?%Xa*u4>>LUQf6f7oY?qX*d}DXB$H(m@><ssfP@uW
zv~1E5RrUlTQE_u~)-Ni&_o?M{PeEYy9og{@u4)87SO)$RuWjMEVXr<D$C7KCo13!J
z`R(-ZX%X{s!_?S^@4dXd+#tDWEl%#th`1=xsbe4_e3q^H>n=&sb0GyDRP;hh!IJzx
z2f{bDt64A|P|CYQ91=Y7I>J=y#Os~?GS(DR;LuwrF}t4df)mG+Wn5tQ-FkIlo`kG8
z%0l*}WqyTJvRjvKRZc;^fZ%KFxm_0Z=lcG!xi~#N4WVFvM_bz`I!5WsxWzVgF*NR0
zrlI!IC81lHt((i_Y!-}<wtA#+_w;7v%Ft_E5~M`$oy&(x9f^!sFDh%;CCqNwbTH4z
zx6jpm10~K599?&khj_-Lv)sM89bN4D500*DoX_4B?UZ7v7!&#6d`uIie4$zQT-eWX
z#bp_p5N<TYB-}-c;+xfl{rmRS_yldZ+u5lQEL+H0TXW|=<v1@>hji1!OUoQ&LXuH2
z>~sr}vnG&y7#Q>euhvvLwcfwjxv7Y<D7<Y>chmN1UFIc^ROZ(Kon1P~*Mf6$obuV=
zK!0us|Ar<n(^gyj%pul(9@ySmW_jP<c)Y*gQtJC0787SPQd(AW)?cP+A;^bppw;s6
z$(Q@dFD?i~MtCRoc2@7BqQ>?E$(Z+;y6R<H`!P2z`~AI}h2!`<*P#H3qX;!wTUaZ)
z!PXG|75SoSF<)(|fk%l0G=j%u24>T)Zgf?!_NO5C!gy%vw};N|R?5oC-RlAd`Z6ah
z^Lv%(H@=`wMCOb=E3r_N-;d(2Dc|=|CrF~FD^{n5cAWl~amPOqRyRB~@4#lnXw;fs
znsl!x&QcFyR-OP5_No}>m~GwOXxaWzs6H!N$ztVO`D1W?JhYI{I%mVZep=|AQg)wj
z_|8t#Q1OsYd~9{A(Aw5kS0kk9?pu_2|GDFuV^8bIFfFo^Nnwk?C6s+`vC26vbStf(
zK%ec>{hMds@|Oq$CG_n%1F%Wm(M=C{CjWe6isFIfy~!=w5MSgnT3;v6VNnB&#<+ba
zo@C!!xTMBptpQxht6N!K6_@TmN@`O^Hs;+%i+X(<KVw{e+L=$+?~O=^p)4rp*fqzZ
zTwny1q+asYL+rR5S%6JL4QFj+oOd_)=&NVGKyE~tE)8>S8@{@FW!7(dUA<ZBTv$)O
zZCFpQx^m1hEqQH7I;CUp?enqgOJ7%ei=0T3B-6y_&-cYX_<HadR+jZ!p~JLs0fkn!
zxlCNH$ZPxd;e=Gb+f!tC5ayo$WpFR=wKl^{_oGi*>S2!SnCYjrDew08wEya@xdkLh
z8;yj?hL{9%Gr^~{TKAIr0WL24r;3gjZ4>Jr2_Tix>|wXH*V<$%4R27Prlmj&pQ+sT
zg);KX8eG8GrI#=6(G{-MAFBB-qiSYYT4%rll|oq@74tJ1kM)StR9v+J&J2x9ig7GO
z1CU&UB9`ntZT70p*4`uqDW-FyZrsh*YUG&3&I-s5J}a^XrY?dLktaUap0w;3hz%cK
z4SdF4(4{Jf1QHTVu48|xzK)~O66ERjT#~K5z0k9;977F~scW$BpQl_Cg}sjLfJM?G
zBTrzbEV<g@-q6?14#!Ub{os+2knnGmsmm)u*^Df@?ce<zNm@Qb$7CsKiRaez#CJJ3
zG$33H(B*0VYinMeBoe}$0~QUMm{1pb_i*%A3HF@B(z`wW3iapj-d;XHr35xCt5(X#
zG^J(O$Gm?Z$<J!~D0!o|u)x0Qy@%~+JvXglcGIGfiowz%N=I;9l>S-stnHOhvB-)k
zg;~#R#pM#Q>-Ez%kE)MHO%A>G!!Ip~tTj3LCX1L{$^iI{;55iY7%13-AANuvq-lWJ
zynryUG#V{EJ>3X6yNpom6h_a$Kxt?VP;I8~YD322FH5$L-rmHX9^>h<*<HpJUctAr
zWN#t#H$px(D5kE@k_$+8&Pt>K4|)nXE)E2B-sDe1Y8UKcq770#$qf~Xm48O>ps|TW
zHmlx9M#YtXVqKe4X&D%^#26={Hh}zpA+&PP)=Qwq%Q9LJt(b9t0e7P6%lf;NFt9mO
zB)}drQB+y+Z=nMfNZz(!sV#G;;NKKFkqLT&KpIs;JtQ@m$fcm0W0*Oj*sQROL52@`
z+pnv|&$q;}a`V>ouN*VjXti#zI#J~+FF4oMzD_%qJIBI?<W$(+aHY)5=t#5we7v8i
z23g6gj>cpA?YZjWq}Fyuv-I$=?AnCoVtf47O*Sb-f!;zl$Ujv0=W;Ij1r%Eo@9ljF
zfbVa{#&Y2C_^!a?*{x{43SGWfz0%k!%TR|_F+b0OOO8HQ;K05<A<{KhTX_u`P7UqM
z51$pYBH{Fs5|!9k=TfEJ(Jav<RAc_u)mzhMCB6q8nj|`}K5h5f{tL$<-@i{O{Pgf^
zL|D~~4^T%xfk{nsrxMyB4<}oOViS2L(^KO*Mx(a%gl<hGYGEm4mA;uCd%px4m22l~
zRXI!4km&=YgRvd1;oCvamn}%46v%XmKp!3g5QPxAKuAp@%rtC!DX%|YDk*L1*?JBR
z4ufkRWb6y#TBleYYhq%kqKfx)!4;riyeR2>v|1%XJ6^w*5^Xt<_V{t}OxY|ahijvA
zk5eU`N>EN^r4|s9wX{&b@{b7I2N+_<z{p71TA%%ys)Q{hE)_T(kIUw%`15rEYJz4x
zkW`>pLC|(`YFtkmoVCW>WlS?vfNoF^wIeeNXrQB~G;L(Qa%0pN_VlDOmsjY0xuSq6
zh2_3vgg0VTSQJM#Ro!y%CC7~z-?`WEJ4Ne??-+JceSC6tJRX_8bPDB^h*?izZw_|W
zo80BQKAlaf^i8Hv**bvXU+(t^-6C(xslpK`a&MGyVt0-~YBTs&ec8oU5*0a@z!sIk
zEjuFPFQwq^k2AhFM8a;&)q<iDuYLAyYkh<&1rBEh@Gb}mQ1Ea%TkUHdHG4Y?qOcRx
z8Y-$>*q~FVPSF}KXiefXd{f}xR{?&!dh%rwYl-letN%+bWggV>{tLog0)r&fl5!(B
zYtrt#{U~ftY51qmu|E?j-lnVp5PyNv$EAVd(AyP7T-1;CUE5Dn+Fp=EN>Dw0{bYED
zIv@$)t=$8@acBJE^qR;noyyGsK6_og9*cpRy)qLH@d+sE?6H5IrlN5W+-L>a*lWNI
zt<`CXl7^~5K83eu$!>3Kw;|had&y}WjVmoHTcl;jXJ0=3k!y3}JR)mE$j`u<@t|ut
zP1rSw&R6y0cz~t#Roz~xJ+ubu4{l(!d6~I+c5<@oosF*{d25N}{{4vRiQR<|<a<xC
zvv(K}=L>L~vSJ7g20X*VZ3eOVrK0#Gq~=A2iJeeR_Rb&hqTawIL9LL4qx$`(<2rSu
z#>~0e8X^1Lpzand^Sftb^TKy)0h10~iRm!pOLEWwaXC3T_bwx@u25e$=k5pdVt%W6
zu-Ba?VA<>k%YkVTDy4PBxRJ3Q)Mv*A&Y|nA&ci*63BJ>y$dOll2gilPwoB1%N?UVJ
zL`x^+dOXORG`PRwB$rE=to2^9xyi~&L>Yd*fK6N?B>9l}PcWt>i^?wrqfqTn9=Om4
zNqE)r`DMO{_elqmxwHPM!NhYe-#hiYM!T|1+#t+HRNMy^H}aV(s7`Ae<CU3WK7+1n
zK-=dUo0t^1Q%_*WF2oBx3;kBHIlXP_^3K{wc6~~V(k!=~1Q9pkAK`wN1};fy=`_Ff
zq6IY|gOS8J8C6+s?9u0Ja^^!h1o#MzbM7@KxwwvKsGZV&CH;P2z`WmcJl^fs?H5tN
z5_hz=rs-;Jeug_N^BQ^k0#Rh{tuIX@>@af2s(T)TmT(eCO0u2BX+=V<?=YKID?km7
z{)fFyyn|NqoFqD?zU<9qrOWG6c}{~Hk&#`w%L|~4Vi1_b={b^+J2(Oiu)>Umj!t)d
z{n*&uin-ugDkOqifM?j|PE{-wyoiLcEFy|wKP)x^H0TFMu*?04AtA9|>%H5aSH%S)
zh>p}QGrpDuL{#A7j$HIZ!e#+!>k5=VLW4+UTYnySJtwvQcs*S=V|sZMYFJrX=Gvjr
z(5^?z9~$MxqNONEy7k>&C!=v8^7Ho~RXx_u-Ue;=;df6cthDW^XE%qr#Q0;H1X&N;
zL1g8HI?t)U)cU&vNKgpz*xQ={=SE?3Q3c&L_<~DfCMOEvE=N7%&cD;>rf-9kt&TJI
zn!Lt=U6k<JTD4KdngcRfpY`(xo@KL`vkb@xBwx$TZiK~o&lpWt`Z=Ok%sl!D8s~I%
zBn3tXOgEt*Y;BSvr?Hs-O8W9;*XlL4jE4^&hGRd_G5OGnYr>*>nda59Fx#JH<>bQa
ztkgtjfgL}hNt};J-2c7$w!@aYNy$8eWr*c)O(hx!<d+z-z$&Jk2lgz^H;9FJD#45y
zMz8J5qi{9;$Q2fG2o(JND}wVV6xM%fYsZyAz7yYbXX>Pven}nwTGyFDuI!~=x^yW*
zp%PR(z&1i}S@q1!D%RH5dC)*1J}g>}Qsd?Aw70Oh+&0nqZ1{NSvN~>Ssi+oF>J)2+
z)t)}3QyzBW_pYd^sX3^y)jRMIH&ec#RXSZ51A<3Z(EtxrxRFKW6(gk}2XO#Ut3=i#
z%h)~h{rmTa)XTGrhjNdc86rqT_%YOX=UV3}Zq0=XzGdy8ntMb;wQmSqLS3$~!rFuv
zV58@`p}K^Ux5Lsny`vw;D*c+8L@Yyiw|h+8J6mcLd|?7E<8)4H$$9DGlEz9u-?`2B
zc9%tp#DeBqYa@JMb5k?XTL*S{5z+lIXkGFxq-!i#)fepZJ-LJ7;k|6RA3*IjiqtPQ
z)7PKbHZY^vPv^DxT81Q+%914TiI(GzWp_e(w^z7Us%(Mh*p?cj0ej7hR!~r|7Mq=!
ziEAC^a{m4nu@_7ik@1ifb$fCw%YZ?a;P72x>*(k(EjHKEDk79QW-ax5_?fxX9p^Q}
zmzBz@n!Ojhkx9P-fFS)*IR>*e?-!cZx6$lDOn~4i{@6xJXUm-}t3J<gtDt1M&|775
z^>3{5Nz5`k2z9_Q27J!@VOdn#9!h79s?T~ah7`ilOMBPia|<$iDiVFn9t{?$RBS;N
z0&@R!Z;|bIGly5T(2{`O7Q!~7adAHLPQ#~aGt47Q@EcG%g?RS+6xoxPRZJiLew+<;
z4$$7OoE032Y#t@!5!ZPZ`&?T>sJ`>NANy-c4`xv&ex)<8asG5D>KC>Q8dxf9tKcqj
z>=(2QGT&Z{;Qf*mPW4qVn^&iV%8V7`7J?<pvV=LZH;yg<=%YrHnzl7YqC5~f-xBD2
z6Av9Dk^#Sky)*Z^#_r3>|7hOn>3=jl>y9wnH=Jbuoqbg6y*RKO_bD+%R;6gbD-1Zh
z$lM~}aFi$j9E5xvf_@?@WZd}V_hTOJ&5Dyr9^gi4OODzy1ng`3eKScX9rt_w`!RCD
zy^AS;9!>!+A*-5JCR*AIx)Dz{0t=>Mnhi)Cf$Fg7`4$^6=De1TFRAzYR^Y>ZxHr|W
zS*Qis3VJb@6jFN~%SuMP3^3U0;+R3^1_OR1&mk#^IatMgD#uB%MAJ94mM`AtlhwOL
zNVGtWDSh~38FF`Ss2ZoTFAnM)>u!?uCj`y|vFX<9AVvMMfBXE<{1C~3Mp>?NX5UH2
z5M;TW`ya^@Y~rzZ>n&j$RBim^Xt{U#U4(;?aSwBt<uPQ!K4-EG=ekqJa)T}AHRYz=
zfcmX~47;|qET#u1FxF$h@3`ppR~F)@cCBrHAgg0!Cq6z^b@MWZD6>ZLQ&0xZ%|stV
z{)hn73oY`=29;|TAeW~y6G*MC9~WA-ONkq!+Z`uuKH#}Sq;(Lq3FLKep~DXR`*(ju
zN^5y4#1+h1n}Pe*DyE}WX-gY9`H^B|6A*O(mj)Z>TD>B!HXY(c@8@v){B`g%_(mdz
z=87p)DlZxc>PVg)E*<nh-p!R-7HXG?Q(FcG`x((ZT*n!~pU~cuJ8GR};-Q{!XAY`R
zdF;?J8_JVITT1=jv;D?IA2CGnM|=z%E<dP?E5o6h6Oz(@stoM2E0((Ax7=Qvk~)#F
z_37umI`{ehTp%qqW8J%6xc|B>)Y;#kyq~ie^Md2yqwaH8!sg<Z%MFlnoVb|0;I=X6
zr0w7k8|OuFS_2Y~kQic&yxUK0nTtMP5yo-@yObB-1~if_2Sfz~YF~up4rs1SCq0}{
zJQRgX!Y*}dfl4v%J{Yi_sH=s|h786JLWS<xw>QD%gOr1@kA~zHxwhx3Cm&JZa6}L9
z(<R8Rx8stoF&w#eMKeHk59$!xAWw}owM(R|Kl{(-tdc%dWE%_H>XUB9<ke;pNc6hJ
z<xn6aD*@8omH-yYyfy$*?{+^nQ}RvyFn<Qt<pWZA*uhos>FJ&CCApCG$`0V|_f+L5
zPy-?8(B^!U0TmIuL1j$4&V%pjx`jArRE6CYkwOp3kPhH#(-E`>e5e6H&>p{Sy2WOX
zI0$<%Q=-McP1d?wL^~OzOtal&m!I=;X?B6jC{=0moi7ME6CrY2NeE6{C1%&u+=URj
zCA+zJ0Zc5I;!0$ufXo;LRO|b3Ki9@<1Pp`qf$=BeTmWv_9w-F05=vcz=sJ4PO$M_u
zv}#=bD1D}6Tocj`318rzqbW102OROF*D%{`^dHMe*Q#CHNdR770H}_ifW(b+=#^dh
zO#<4a#B`bL*8-#*8jb~N0(=<(1mYUK!eT3i_Jf-#JtgIq(5><-Fm(esDv@f&XTQD4
z)SB(Lc?i*-5Q#?D-MzrrgoTQ%2VdMuh(IV}9&^QX(F(HU1T2Fn_$&B~JMm~#+Qo)&
zllW49H}`7&{5AJy|F>G8WZFIr$^GYX1Je}nzNACRM2p~LJn?z;Pnn~Uj;m|1tlY5i
zuM2Yit51L(b_2lVs(R&Be#Z45Kg~t-b8Q~UNd0F^Oi6j4lU-c49-Wc{<3ORr?cEoX
zBd(XZO!X;-UEt8zjjI38ao1=+clB2PTwmdh*KCROd!?E8`FB4#d2;7NPS&|`h08p=
z=wQj)Q2$!??M8`*-Fx{oP<Ej)?>~wKdE?j_vQ$q`MEE#D7Z-E{Aarq+xZYpy<rs%$
z(8I+Ppt9+u3qk3$Hk!I{5S7QU1Nu-F1Cwlxcqei0hTQyo3B3QeK`~ULN@MfzT|osD
z%A2`z7_Pr?O>o#&)kzK4Vaj$(_-n{rl(@+e&5$pJuH>^V3xe`TQQo-m65PYhX2>WO
zj`RPMCpjQbp3|E=vkUd`Y2qIVY0b-zFJFK4-9IQHmp(casx`1s9C$V&?SlswqPPLj
z(^+!qnN%U>&jm?u5pue4nBRvTkGBH~DLpQZvHFg_^59;--~J^nKNd`Rk3Oxp!a;B%
zEc(MB#rO8l1?|Hbbw?tKhRmf}2b6d(j8gfcF)#WQ`;>u`lTCmsoki*1-Df&GC0TqC
zR$P4faEht>QYtSx>wgb8E7R9H=RlPV=HOd(3#O|?%;X>{`dpzyUN|@%EkYVfiJ(7O
z2Wgw>Uw6;3NPe*g#mX1*gYSp)ZkH9*j-B#uz=mQNVO)sa4K$*!ieV`67p?#7xEaN5
z{@Vxl)g5kVcOxs|O8?(VXa@4-Q9{O--kJ8X>hu3NFNKP>|IZ)ms(FrT3qC1ahvBhX
zH^Pyr5&h44+bBSE$}bQSXpsW()-L^!0SHU}=>K`~WDV=|#0`O18uNqufKl5}`%z=!
zf1S8hAAUyt_;2Mwck%yrTLjf;-8ckOiSm~@6ET;c$H$AdBQRtL9!>l65{1&e_Sd%?
zO_L|5RS2CSvw}`+mw8Yh`9|Bz|Gn6`!&B@1<*D0#AUBWs&joz9VCInuU0vq=hPJkp
zX!aP3qo}b%{|zQH;(7^XN=qGQOyv%I_JKb107^Xezq`-FQCIC|HS1XuOYv_g_$LU=
zws?Q!@Ake6+q<U>=c0fa{Fr!+b_AgnJzxG6-NdPGe^1^2neBz6|IPNTSO3p!?~L<*
zE*Ts|wf}!-Tk(*_;y!9uR{I)_N*f8&qIBED>tBlL1jFc!Eb|Jl@9vn@dV>&8KVXH5
zz>0Z(j0OVoBZvOdf+=edu#i}-u=IOJhslfFF@ub(s^mPlEaHxsK~SGx+>rjT0c>|R
z5NUYG9$8sgiTj@8+#sSxDr_f5nYS@W^?lr2>UA>xVr72gMzA92ULn$zSy>K!%R85i
zjzvy+{UhX*UsSR6r$Zg8diJgEkZAE`@7ao?o}M1J$>b=?*F$3Lw9@#sj@0_NZ6Ggh
z;1&_q<w~fTiHRHqivV5J7-8T`(AvHWz=5fsN~GWSE8sBd#FK+B!c;ljJHk1|V>PMI
z*&J_*vv!mLFDB5>f_%tgM%`L|dJ2uky|@2{57bz>c^oCK+O!hnhv<0O*;-ECy}cd3
zen}_v-aUU3$~E_%64z8v-oQ?<pZZ3bv0IsY$1y!+JJ6~aMwGyZ?CUf<hF^SxLS495
z^Q{gzkRn`?q<xphN+Aaa#~Q$?n=S)i_H$)IR`KoujB!qqv!Q;I&c8%dDM})BSF~6(
z$$zzlHE~)2ZLNSw_?VR(tlhn|v6*axsCXK+K9>>)M?f^A{eH@1H`$g9{AMDbTW@EE
z0rm4Y#`azN**^lckLX?orp^ICJfwn>Zsxc0jSC7lg+U3)OE8v8DDfCcNeNK3l!7E0
z?W^Pq6Xnj3bM^I)ckS}-gu|1$_~!1Og;S`h^YCr6zRPkD=e%fk-AmsuNpTLWu2<19
zb%5K$0o_*WPR)NfZH#EH#}JE^DN$)KW>;0FrBR7gshOGcN!`hxsHzTDBu)yn<VM`E
zIey?5y-eYg$7b7CLPTm4HV#B*92GDS^Wfn*DPs3hQ09$}%W3_|+tb?R7`WqKOC5){
z?+Sld#9~Mozl!_4UEn1huq`9&YRX(gcK34zHqd@fac}XXq74uR)_v9Dd|ad8i9<re
zYic%FhR70vrAgUt_1ar${N;ybBZa#(cO%CW$vzS)?)qmstDhXAY#y40&$6^jL^T;o
zdy=usw!n&j7#R^MY9{Nj+}qlE8VwGO_J{GXZ_<MLwp;~he7U&}>e+_I8ISy~yvxjn
zEHHf1y1&nsv@p7=VqT*wI2>Fo){x8mAoJ~)(N@op8;=g^J&{nEHba-hWj|>B`DyJy
z<!jVufA~h32o>qFh406-uH#_Wr_g+nK%WP3sXIo8Y@refQkSJ3gXC?`$)Hcx@0Ztz
z+Ffk)A}@9~+*d4L+~^y1oT0kh?-ew0c&FrWEE45?RTX3W>aSPQ)>o=(7b?g><!jx{
zj3W^KW_I`Qcg)ptDN$&--I)NLt@l3tf}81$x#ZB+maKj}SVf&sY1@7d@y<l>R4l~K
z_FZ@isi2AzoUd?Q1-cRo7iZ<Gk~#fSHJ=^SZ})0TPlQ(}wMdmcY4{Y_;PY{EUB#BH
zD=U{v(a}j5%9So|-2YC`Y<Ji(t-GBZ5HL?jU2WLf+6{ss98h}_p%X$BFB(Mo`-A1+
zRKAWw=&InfkPQ&0v+rNZ@Tgqxrw^$2nNqN-4dFlpzK*W06uH^*ya!w0*hvEW_>~u2
zzK_l%`OH<bxX)HBgQtxG{;4itYZQN`LWJ-)`Xm%5u;;{U3O7FE)TYAlqmd}L{p=<`
z|NLmc>ayROk&P8dFKvuXUHs8Io+0`=Lqz$SH%8~+zMybtti!CP8t#<+S4&^$Wiez0
zAW6Vfn!|p?)_H=o*a~})9>c`Mms*;%{*pVSHRVRkBG?NMEUYaUp`)z)G(=&^5FGI7
zu%kMYW{}_$LE_NL$P*(a6cs3bTBD@z4I92~68ZH@PKK!Z6LqmlQu4_>%K6{S9>>KT
zdX9b6W;$`2EM+&V_G2OV)1bdGrQXL5=$tpgmM0#DekKr#H|Bf)*;V!7&i{ZuH@`jN
zHj9i_;Ab>Icj~Zc>rNA@?i4oL*F@)bMy_Tn_$@yz5VpVS8aKo{!l)k={i4u=uTw5s
z8-#Wb`-msI%G#9iFS}*4cU4(+7j|^$T}WP!&Ur2kL%*Cu`~vuFOz>Qc-8Z|;?uFxF
z?Ppj-$9C7as4bPUpD?|vz-<}S*8MX>l*7ibz*@V=880fqLSwkwA=fcshqiS4vM&tf
zKfjYJ#fOLLG7FcJtb(+a-LHeu(DPWSOd&7d2>(&RN~=Cv<4e1SzFcSSmW5GIA}%hx
zG3c<ENP}Qj;o)EO$3@PhQjX@`K%k!1jPlE|p3nHR>`!*1)aIg)1arae^eDbU=r5QC
z2TNm&g^MsWov?mZ$zty<ASEl^?|wAnV;OYbQM6CEHYe*yXJmDM4NLv<$-Jjh`7KFK
zLHNWkGP)cLsA!{|9+PN^SK%2;&Ch})@WFcvif<3@2^-c<EA5!jkE$NDPPsR$PHLF;
zn6#EpR!J{CJR<j+Mc-uXse0|X^6!g?3DHC6B*{SB!X9lI9xsNv{NF{7)a7T0T+`Qk
zcKq0dTb;?XF=h$YKRKgT|FlV|7)dR=e`=gQq#vbedk;?cg7NL$Ui;1i@Pbt5a6_Vy
z9fb-C+yM{XrZ5reHdlyFddCmmvpx1@#4Ydd@iZh-+7_A!t-1Wgjfb;KI~?(%FZM<y
ze5w%jRCpV8y^J!Uz5`>dmoa-$r~jIRy!B*b4xLljp}DgJRE`fEZg}x}S8e21ZZR=J
zsW73iQEFyx(@Z}~EwsGCVU}K0`J15V(-4sue97K#w2iNExdjkg4fgIJdtucbgRR23
z;kBN=w{NIB+OA~n0sP&BIXyGR?83%b?4*|p(J6dMAvupbLzGuQyyFAkKcA1EI$^r+
zUdII|RuF|F!l|qD`#D6+FE<fTsIdR8d6o*-lrTIX7%7=I+h?k0>V8thwM61Bvb7zD
z<D5pkN|J}IGeku)reIFhG<@%lg*0#FAGI|obN~lIIMZ1mjj!yC&vx94c*)~j_>NNx
zT)ZyoffBQZk;yk(wbL3YW|l!diO3dNH(#sakL|~HT01{DDM&AxUiv`+V7xnRyluRi
z;b*RXF$xv_*R^g7sUSw~XuXxfUb@1_BE2ITqBkS0>vDMbM#3Ee?*s{S54$`nnj6A5
zjPNgGbR158J}zk2que>#_@fv=`?z_+bIKb#O9XYZD(wJI4Yn4ko;Haz#1m7uH|z`Q
z3r~HXuzJE}0@XvNY^ikdh2&&itW%J7O_Tc>vD%#1c#+qFq6-nxdS;sNbWfQJLpBmY
zsN6fCG~^7@Mpc#n2b-7`dyw}+96Mi8xOaZ*K~|>PLKpogL5%yPSJ~HwAd?=4KAKBJ
z6q493xYRvD!`<JLVK$Y$G&uTbY6>kNxhPkeFHygI7$tuD?_oJlW_6fW<9`eCd1Rzi
z?JrkG?{I4)`hA(&LatcyVSS^>8RvIO)1i43mq!myx(M&xU3mYB^iG_J21eGnhc#L4
z6iOVLC*UwgA4ObrypqxN?vrL+>_TOgr^UnW_v%<l=|`C>mLp;3xq%tpr_;JBhyIH-
z|IMC!n=^W5Dd*!JE++AyZxr0tzb2i(2c^O2_b*&d+_r|*fvPDO*H~XDTp(G^%&>6c
zSe}WZ>0#+YW=_wN*_b28qaYYy$^6u@uNuj!0|SL{W~y&^vzsijJ9P}Nf+GNHsRspP
z`rm?aOng8FGK~ddd-)lr<99a3q^p}b*^7SRiGvA!uV#1F!Fm0tZy6#BUy`XOSBcs^
z%i+x-nWf=L{ugq4&U0BcFX7eU9zFOXoUyQ5AWPn*J=%rJ<C^6};K1z~R;a`dtv89-
z2H|B-WiEd9S0EHq&Kr-pkXcIz*&08$BC9!S705qmF6y-nx6F)hp)KQv0vm3Agzr_L
zJ6RpJ%EWW0grbW=rTFhejALEh@wYtWqcVjZU#4AB5kGjn<bedU8?)eo5JWX$M$s1{
zT+6}QvSsV|hN0i*^*ZwTeouAd8?N@~t72xBiIBSZy&HC;Qg-c>DCd$gl(Gn0rk8Wl
z&frT0mtyE@EDbu7>-TxrgfodQG}OG#5DiQ0^HVH7eB7P2<waC8GhWoJ#lYJ@r-rq&
z<_SJ~i0&Y&YH_EPv8tH%y`3`A;6CAy9-5Z$-r{JqD8z2&AA4VqGB1_7VXXs&L|@=V
zgC*c_S?9J{yz7-~{`|WwM?LaQ=q-2Koi3ff6>agEdMK9sZT}ugXP^)6sXB>9--kjm
zJw+qN66GCaY2tDv<ZPmzS?MZXJ-ZmKH6sr&&XXvwrDm-nda_8^{yPK@>tXEEle{{F
z`*NfeeA~MDZqyjd&Y=uSS9;sI6lW^l4b`r$$QK^*n2|`g@vqe`58YYCvI-mHmx8rx
zB<qWP>!!~eVK$+n6askF9WQ!uTwq`wr>2Igvf8QTEQ%nKI8d9XB@Hkf;DC-ky*t{H
zUO%emMyIv*gLiX5I<^KCbSKd|($QsR@^3ku*Eh`HS3^+xl59EKt)hVPFA3gR+r(2E
zB|Yz*o@gI$1E6_^PP`=?BJJ^O>(B`k`xKweC~(v*zgR*i|9&5{2-`9k{f(qN-nDVh
zk_)ri>>57(KF|8u`a&wI>WRuuY|Mp#X;O9+JfY`Kb>Q|rL0csJ0(2@kT<3hhK(bcF
zOw=(*K=@?KVH3ePnomjG+gY|`tk&ezj|x%Vh)d%F^dicD0jr+uRNekZK!!1qJ2sC^
zq};oy9y8H=NSGPsmd0phg_zq_R2j}Co2i%5g=F1(mvs+oIl?G%Ol(>-?$CwJPmCjF
z8OY{*T^8K_0oVb>oh1mrZlmBZ!}^y|5^>;(-g6>Quckd@z;q!a<^3D{SzS4+d=d48
zkBK)Qj93TY8*YEGzI$)B0rJnj4`%As%HK+Z_p{?gfv4Enf0zFS0t3jhI45R?{on*l
zJb%#eG(scD36Q1mfqOdiOj4L#PEF%W!#^d=2YUrRZD{=bH{TFVTMTkFI;|bWnoO&$
zCw-$HCTKIEKK=zfr_uGLNRk=xBAz{?+VI|zy`1jQGYOSmZ`^-bqVY+fEtC!PBTuSb
z%0KZAzWdaAo}6FHnyAsGdrk-nnu_7W8HMbSad#oZJ-4%OE)&M>UBTB!$bRs~;;7-h
z9gL70fIUaoJh86Pd?Li5?x0LykdFK0SXm&`A<+wQZ^u{X<uPb2wYxhTJR?a)%lQGi
zlNY5ShD@mcUQrf}bAW!qv>Yi}J9brkmxUKk8$ou>h5E?^D39mkTet5xqKhQ$F2rBy
zOg1ofc!yDRMDk8R%&2ss{-yjzF>b(Ts2Zo4?M{ebRY{)2pOMYa+LYC0q6(mU@q(ED
zYBkLV+Dw3(au7~i!=I0}A4`CXsbv4Rz-8u+mFi-{0+MQ-)~Crv<!QII2<^q7vS`R(
zLq%WMfsiNo{rICbtmXH9Fs&ZB=Uuid+ApY1vdX!l?;+!BHo?l4k^47w+>KKB-pm3_
zx$q4ynim&e*4KoMWpyUEEp26<pUm97N@+-F9&$Um|MShA`4qkkBvrCdf>lq1rHOGD
zyRNi!?vn#m8=Vj_&yLm?iU2oNf0wJ;IR}AQ0&+H|Ea}y2E>tIs-h4307!dU?Gj)-F
zZ+Ka0bZ-DwY$27-?bLp8roWdKU$slWYR4aaKV7i*=I*Ku$v2Jo45gx$k)h}OT$&nT
zLlzRoDU`M!X@!?kI5_6oDnu19j@nUkKBLwy;kC|FX8%I!J^4TwFSe@@`l2D59eN2H
zs5I=<^}E)+kv;D%1CMI#KBTroC9`-->b=loGhu~Yu&>Zs;3#97;L)2US$u~gqT)`{
z3oWdhGK%oFc$``emPd*<mlpN(dt@k=E%>X1%@sKxq!IUsd++dJ!v8?doJB*di$Jn7
zv+jLPx6!@gzC;Nqrr(UST~iJ*rXa8)a0*`@ezAVP>Z*cR|0k^ILaLdQ6)m}Kl*|4q
zZL~EGfnmttnFoR)V+x~y@|(Jm?j(MJSwlsiV=(LV=hmsI8v+q?BMARnZFNks37}26
zu%G7~G3r}XP?>T>bV+@~oB<|M_@o&AyH&gns{OG?63oQH2MHAptS#;E$dfwWVC~MU
zMl}b8FCwAkL=)W?f3wLmx0(36mtDfCkG2ROb05_eo9Mlg8K5)_a@4+NTa~`l8HK9Z
ziFo2I?$sB7-3$?Ck-Yi~!)WN=X7pD&PI>=NMEju+kTX;!rA0>-J6skbBELljjcc*s
z#V*9@oT^xJ`Hq_#5)Y%OquyVYE^+La&4P*%nwyfK7s$vu&j`B^L++q-W~iDj?^jxR
z><a`<h!+NY94{ilO)yit1>#D=Ytho{NLL-0ItuPo(?h2nS1Y{xU&UZJP5g;+akp$R
zqHpeHg{Bb&^#+gZinfj0Ay)r4J_TRA`8`*7FI@?xc1{m-LhNLV!JV-Tu?qz48k#Cr
zxVF1Mqr7k4887yD)#>Zt$a3X27WhAX1_lN@2Zv5zk7~=C5DR=^Vd0T+X!s6UcaHbl
z@<ax5Q!t|K6<=H$h&<3WtguEgsKnohxir}T+VrzHgf8$Q$-Vj6oS>E-S^Dyn{Q(~T
zfODh+Lg^61{uV$V_qX3E?~M8;7s4VnKew4MGaRRqMa&n;_(u;$%EYXHC)Yzzya-sv
z^50Jm<%4xQBP;6$GzX@G8u?Yi$#uStj|$~>bO&moS!vs+df3^_Ycd&Wvf@F<uQu8s
zt(4&KBm9&bm}3MZS$0gDCG3z!7VOh^X6n-RP`f7FIcoUwZ>TI$F$~t;%f9sPdm}%A
zsQ0d=CP-pFxLy>Qv(mV?PC@65wBAikgdXQFvMQgr*cnwdb!qUyd|F~i&#~cOSxD!y
z*UI1v#PYP$s2Ol&t<gp?kqNjr#MillJx&Y6{Xn|#Ygpk-f-*7o@vxyk&enhfTe5lA
zg!(n`dAH5cycgC+F2WG4aVptF_JK5;N4zPs<4-lv@3iq^4jESQ4LG&Ng!YZtJ%TnW
zTe1ou#e0EO&APV`%<l={D}-Nj&>tplDl;kYpb^61Wdoz!lz8<W3FNI|r(&!}x1fI~
zD!w7Q-9NzL^t;Z&IOscHqr5pGd39`R7t6vaaZjY-M^1{RLw|4Q&0|9zwkIsiV^|?6
z6^aBr9ToBomQeP_L>ej1j77a&hlgJE#fgeK+7E1l(}<0dGe19Udecv#+vn^hxCcj|
zTlpz2+uq(DnmK3~uNLot3xwYP+mIhJd=IQ0V4N8rEhX%J{7M1&jf{h4T&TNcDd)x{
zEfNCx&iC}i-nw{7NBM@KP-I8rYdQgV{tj5KeAVNx41Tmz4lyq=s9=wDZ4qp=zfimE
z+E9IgkgCzuB67q7Yn@BXRUTihVJ6I?=jG9HC-L7K^(}h}lcA4{e}bR+^KteyKmL0{
z%nz6k=PvV#8+l*+u#xJw#)lndBZK!(s1ur3LP8j!v$?+%8VPo6_~6v`f<r7nwt4vQ
z;p;d%yLzqPF!A$P%+se&fg_G-Wi2Zko>z5Z--mL2Zaq3M@el;O#Vz`(-ETF@kSZ8q
z7yi}XpG+V;R%5bP1Ln7GazZ^lLrDabt+YZl1%;;&OP`Bp>zm)y5kIZJ_dfbz0z{Vi
zxlio`skl}P1Ddt?8>fN1jH4F-tC{Fw?rh~ur?YHL|9mhn;^e7bM{0-^X}3*{O@V<M
zAU!PL`}zdkR^B*?p-`}d2Y50VJ^~~L6)GrT`0JN}JI7^uUSJW=-Zd-*S;_TYJQ76%
zb~9Eg<^8kJbN>#5J7?5Iweh(PV&tldLdoyk33(|4>^pbYgcJzxbvYi>u11C`ikY5F
zgS=z!C!-q#bGhe%2urV6>QM)ZFBAHL5D!r=bzCg8cGy}B`d6VSJl0bSzrbRlxC7!E
z_lAMa0OUqw#I8enJ6Q~Ra?=>oFP+Hz^U{Cy3+%%CstMY@$u)RlqnAqDc*DX@@-iVh
zhgutPUup2+o8Pdl9dnW&iw`WYx4(C<Rb8wi$?Ck!UFi~tq-f|Bskk_FzGWfby5R);
zI>-I5>o*`1HCmq}wdiZ?ATu!VcC+WB4&j`F3LlOtroDX5UeJNK(Jj9GcoDcuRp;I!
zrC}&!c;+U}dd^nY6e|-rwDUxD!nw|<XnR5281K=8;2Cj+z8brG_gEL!fTJwtnFP};
zsdA&CGTgM#chd{r19m?rGPflt3DLoT-<mj{{*{KTn<Vf8{(CbMrIPh(!T^P+?UfX#
z{whrVJk2kEi<WFs>Qi2P%#$$hvb!@%dDqyV(P5uAue$Gs287Yk(NQKQTA{xw5Vru`
zC*Z^ovw!g5CiFCMYEKsfyNhlkuFsfAJH=y{egaEM*w5v26UG`EA~z$A)`9jGBpIOF
z-b>mqb?8F6iPkr5A&oUZg8|-b{W%{Qz1wYQ?}<!c0wH|<kLnW5<X>{vfR>y!!B46)
zz|0UlLr;zmL{+QT&?zTa`>qyS>SABLvp#ttCrgM#Fw3A(N$NNxBRcdIYXkF}wlv`F
zgl@b2f+Gb)lY6jx!Qyz#4b&EUpyZ)#JFm2~6n?*g3Gpn-{`RMH>(n<0PW#|9DufY0
zBQ6Vbmo3OfsYu9COV-(;ilITsd!|Gc9P%H)=yDOe+JK4ckouVM+OZ#cVj6JoW9&P+
z(aWk9iVHr8Q67wfAUz)b1?_Zp1N)AEI`RwBzSuN-_$(W=HFcWSy3BM3c{0EeN@+Fo
zS;5Vj9=}UiLwLmqv-9RY?<wjd2w!^fTYo7j8<S1Vt|X3>Gq7Dk8czbUNts58;3Y)3
zU}(DKbAwT(RaRmK9~iFBlx4#&9xze!+ckB0&TlDw0Fy)|crM5jpI(c$!A45FdNu)R
z+7QC525N$B<&`1>z;v0~h2TOrKs(UeyeiLlZdXv#LNLgSP+Gx(zOmD}eR;1@WU|F+
zgH35;TJm_5(RszpqwTDTLH6O@X0&8o-?~S>0y3~^Umi5jY?cBQK3Z&rhclY&L%s)m
zA|fQ@6d0&$3|g$-SROwFk=Jd9Ji$W~9OUxZF2O>NXu4>Uc<*S2*z2eu7C{NVn^@cN
zsB|Wi^X7(XnzYe!?YH$%RG=C&eOLyr?qKQx`R%7@R2iTIZNIZZJ7T_?_(2O}W&=#f
zIdU-{m+_d81R%$jA7TU|`?V^8JS%z3V>E5_$qrd3{u&YAh0?!-3-uP}XUe2pe+hNZ
z56Gr+>n`>pCKSk~GMRMZuI#<IV=g=qeo8uUM$3mEZRI1`R3Ldiw$`CRQ1}?rVMw#|
z7aYDecs{PY17pn7^X<MXkJzQ`>;sQnK^^+=KVoi=;Z26l1VsH*3)jO$cGHtsxyfl$
zxVa767A_<d)my3hWx8<G(&=HEWy;HtBOS0q2lW)(&lAAo4><Mv2MBLJzSc!M&L|5_
zQKKK(sy<j6MY5|~-oh|Cb%cp1DrBzdAgO-(Q;Nbj*^u#!^Y2uJLOp;}M1dlt0!@$<
zjvWK%|Ik1vJwpS(($Cf3+EUWk-=k5{slp99{1yTi>;FH>-a4wQcI_JdAu1(c5E23^
zAxL+NsI&soB}g~Yji4YRDcvE`4bqJQB1lO|N`r(n66(3u5BIa5_x;8>-#CBlXY9QP
z53F^s`@UjcbIyA*rY$zDd-l#}_ZLt-i>?uziG{(8TjY1y&QB_8X9HtG35Be*t~HIn
zM>kT&ae#}$aSngmihp6S4V&J_&l(W)o5=~JB!iNsug>V*F58-Dy28jQvzw7Jbz~Pg
zKU=s$S~%<05S}iqD!pse2UYJE-xwuywZk6hu$u+CQwxW`cu)i;NlpHWg_fE)z&&dI
zv7{(H%2gayT@vy=A{J_Dn_Z(+?Jvo1zRNNJX&(VG^rDvnvIhHN!f8PWWa@w+*1&Nx
z0)fuCVD~lhAr|~>Rdfl~EaG(OlUd3<#xJMmC*bi&<~2C1ZppUc9qF=ee3wP{vl^++
z?CDqPtMy8&dGp)iIoDV)nE9{NGa{Jh*h4KPxxG`OE@!;sjK`wIE7E&!2(8Y+Zcf-I
zVq*6fzu(j8NWJeNzifHXCUTJau1ZmUb8FL^t1*uat?^|7LFiz}zW^Zb@$s;!r%vFl
z(X1Fve+tEvUUm2|tuK$Q(}|L8^iL`LujQ>!o;Qbfrahe=bPL*r4YUXno1N;ynP)Z8
z(elU+2JHezZ5Nw%qygFZ(ZO=w60xO_F<?f;1_JOo;zUH1cW4(GGONL->nia3duKS^
z?7gViJ?4VHzbdR5h82a{>>6rl45*nF<=UVKU>kZskR4}kj*6{(Me+TvWOc~m4_qcV
zxwY``&lW({X<JwII@CZd^DrFw4ymUQ@W;RA$I#v9n&V>ZI5cXv%hDNg0E0fM<*PAJ
zB>e3ab0Z-w&0DhV!5n_;GhZLewrywO4aShkGX_8M6wvQ*v5l?v&plZ%V|5r-SfGa$
zSMbfvE=^;4Cr&o!A70XcPz6J8q!K@kT1`gqV!Of6*_;OEN1Vw;AG*|ZjkVK*RzeTe
zL&_}TT-fz)Qob7;;4a_1gs>~RQUUW>2)PX}3N9}XbKjuONoVS;t$yZd2d2qQ@`We(
zD0Y!HEp#NXy-qzv{atiDN5K=i={3IAlFeaY!|1&*1QL@2J<uKcpbYt3qEX8s;2k&b
z)-dWHZ!q}b8I&Su2FaPX@D+_J1bN#&@{yMqj(?OpC_(QAV=*XNs=2NXBhqOA4<hcc
z<A_ybHdswagE9{ws8)PsWlWSYX=mx2Iuf1MavR=dJ>I{-%MPh_<UNvVLvF*5PSZ5g
zdOy_pWrm-r{ng1jMS1}X)g+FNf5lky&pLcLAssgjl`dSyXGIa6d#epCD=`0df%!MT
ze+m<&*D#aBfsAfv4kWY$FUgqv9Yf6TZDOG2E8ItT-}M-JI!ZaJAQJ|47Z+!6U?|4=
zd8gTsX_oQZ91}ebJ;vOLAdl}Ip_PRvC?HRvQm?uA!w<55MiPXY_=zhIgy1J(8SyBm
zuU`|Gx-Q5j=$9gt4)s)YY{^t?AZL0_j!UnVJ939WEC6&;Fi7^KkKvXeev?ZMWAIJ2
z^RV{ubI&^vai>*Ifk5UBc>8NW?*}%7^g|^p^}#+pgwH5ugvL?iFaa&!e@lcm#2Ag&
z2R2a@6^XaThyB0#Pn|Y(Ve|<?cM@wo`8Qre{B%?LPVtujpUWf;87F2O>#}r4Sv9?e
zEJb=Lm};O<=zx*K-j<!tRxs(K&0Y<3Bl2joQ<pPA8~i)%)Ax+~utN!2QK+z!w?mNc
zb(a%C=;&qSqrpt?uZcx03pKRsCrL|sV)LEgk$tnFh3DN}l{6p?HCaOVJkj9OlPKTe
z*@hs{ivFeaX(lvE$~eS|2Kd1&s7T=M{bfBbnc89k>lx(A2<+Z;8YU+1(*N4l1ccP0
zJ}td60m(l=L4c&rkDLaC=p1@j#*P8Zy)kz?;t2e~t31F1zG1*VpKD<{=8xVoXtHS2
z>RklyWq*L#Vfpw+)nRTJjEb21PP2;-O_ZN(mQ_hSR8uzk8QUJiFQ~ss$~(~ZOmhGt
zgB~qHZi)b8@pV}G(4iEv`c3&KfXWNQ(ZQiYUk_wzVlI9CKD<<A8DGW;#0Jdd&)OKM
zCTsMUT9x=;vrJm=Er<=f=L~735rWSdeqa{rF&~%1YF)l32uQ67g4E(+4M-3Zc`Lpx
zJ7FOrQy<Ca#8el6S&4}(mKYh?Fr2NskEg0C7Gf=d(A6aMk8u6ke}wC(g>&c~@c4g~
z;{vdhpV<E;I$?D0htF^ojltdf-vu&(O&lt6SSVKI&k2J=DH2He-Z;4bpS-M^Ik&Ht
zs?L+HSs;{n0Io5YMjJe9Y0Vmc?R`O@7=-r{G8=Sc8~T5cwa`Qdg%+6pRC8&_gH6i(
zXLw$Tm@XHfkw6L^@FT{P|G9w+(5_9(Q<26$zkXN%g$8;P1q+LnY@cb+o#i9yTEqxo
z>*IAtKoxFMg|2{RwjapdD!`boN9eVjX>^3p{UTCe!I@*ghE596ivT`la4D+CSJ!38
z+!kCrb=eQ8n`Ay-P6w&^-@3_Lzzl$<Go;$7pvBh$Rbmb3_JQ3@8eRVg2(h4MDOv)u
znkqBN&BPRt5KI$3RR`Wx445yF0Mj{O)@v1{t)AbNQsS4wAXYkc?gv*m(F2Lhj#8^r
zOCR@w9Q<7bO@COuM*Y`r0~NtL?L2`n!K#>uNm(@C5`xkU1P8Q$i6G3S@V5wi<P9Mq
zZ2JNa1K=j6{Vh=u*!OpV35r?xUrbHzF4%fZOr?x6G-2)|0jmOx(%?KatmB*neu1Dy
zG)IKef^%Va_CB144Sh-vMp0@HpEDx!W(|9}*XJQT^g%#JlQ;v(uXO=+R!;F=O9vuU
z4u7kXr+R<M>Hm!`M)GgE*ldJWbliX*lNL6;!G(B@F8VHuSS#4GkY}VNb_cHxg4qcD
zOCbJwa9!E{8q|o{xHoEn@MFLq&*eF^dR4Yl*1O*a(RLY47+7HX0Mb$20iYA7Ij#&X
zBOV!`2g3r2wY-aPa4^rM27FYP@%{VI7O4aH;@a-5{WUii*CHjuG55M*Y&rA*6hGUR
zsy}<;N<Mq_0@H2&(Qc_mcd#_*{=IdKxfAPPH|-!CKKS&9AYb818v|Z-HJvWC%Qv6H
zy~;)wX-)9p7%J4!8tJsVRs#siFPy1!DB~-gpX&S8Ky@7}6M8nb{)8HZIB)=UR?$ew
z%rUb+ii-Tj<45l;OVb%Ll6~G;j`h#fgw@nyLC@ZG`$UGD>^40W<QIW7x}v|9<@0iK
zq``ou2k;$1mVNh6j9I1=HIAdjkKey-kv8~1eFn9SyG>r~4uG;_J0w=R;0r)%KJM<a
z>$1p3q`ts{#=0y^{svc&_f|ygMa0Fm)uGD>tUyG_5MCu{nzebjxtDVD3j4R_JG0gr
zD9Fiar33EjkFH;WYDFGWyCX5V#$6S)R&YG6jp=q9os5X2<r#dTas^-2<u3dTo4asg
z9dw7gIr5$|V6X!M)jR|Zm0$UF3&I0pS65+HuM2y((V-nCrn1rqBh_3lR2pRfQ~iIm
ziq*W@2(Ov_$11=>u;`39^lJI)C1WclWg3Xz30vc_UB>~iz#ekOQQH1Oz+B);7Sb*!
zfw$<pU|<q=vDH5(gIelL#OLzIJVWQ%Q6nNq3jP;UyHB4C2CaP4A`JiT@4vRV5{m4E
z(Jmt#MSv8*w2?juK09bIHLLA1euJG}NL5iq1uqa&Yc_Tff0=%1h8%!<ArP8OA0svb
z2%nMQ*6|Y-of_pnQ)RY>pKsRd_a6b4p5(dr72LMoGaM>IHayjv^3hyU9>%-*IC%k|
z7*Mmld?z6|$|8~YiLs$1GYUnL2+XsU;i6&iLeRCF1OnH)$M0XX3|kE4E1H;OamI}s
zZ_k6m5}wXTnqMFu1T5kRKMu&01)vwd3m%vNk_+yQ7&v~<$ub|zRk`Fz4%G|BONKJ=
zyZ~Y$oIVJ+IUc9jGm$BzN4X=IS#1REUO0o&Yc2`W7!hd!_n)m_GNCX&?=F42ut4tU
z)VBN^TMC)m_Q!>xxrr>+FVD+$14lFabPu1KZM!!d?s(I%`SDoQe{|*MnNHMSxJdvC
z(768Esl5Cqsoc<qXAt?@S}&*ntvJ04T7%*LL9Lo0sY>sWw6U<&n%u|zU_c;Q=(Hi*
z|0})$6WtyFe0OprVaD<ylUl*Ez+)+S;tlDt>R*xTFYVde&j;xey6~V>V@bk++MAnF
zLCao_S4AGxc6H^@Z$Sg$S*rLUUJfV{bZ%u|G}6|Ek`$mWC=`r7Gq;~+7d`N#-`;M2
z^S5d^>GK!fLCYxn&t$Xd!(W0lB1=%##sr!qQiwDq&bw8=>gZB1nV4tcI72x(iMpKP
zaxHJ&#X6;<6+tk&pa|>Y{(T53SfB%eOz07P!C6Zdo1AO0r`fGxV23U<4eqP+oRpbO
zEgytj;8-m}Nvhn2IMCDyWYQ4BJAop-!if&OB>$m9d!Gq(-h`!nuz5nH@!xx?1yjQt
zOUiEQs0Hl5f`$drarIH6D5DZEfkH*0OTvY7=z_^_fw)sMmk0;RUyTjW2%T`5Dbg*m
zFi>KCn=zN+@o^6H><}H7mbpa;BLbG3`bW(;TCD$C3@MIL=;g>a3F_NRj+_a|2P^=3
z+Y<J)Q{I~ZaGl5j|0{DqA?23025aLjZ7(uoEhS|YWg(1M6vDOn>sS@dU5Y$y*%|b9
zC=cR*5R>OjLn_Dm4*=1{F|jFUEsOnMmOLmz&|5+i32^OS{y`Kl<W8(ptf|bbUiRL_
zgFpQO{ev<(n+{hM)Rn0fb%>ANW5mWHK!G#D3sLb??h!r(MI;(jFirx`O2HR`-zx_0
z4JceH1e$*r59}MDk?=2>DxUNwC?jNE>8+7r10Db0-r;^Z902-4DCp6-9agZz7}PZ=
zV>+bNW4HKlNduZ}6**p*%*esgUYzMzE&OGUR=BKUfIrVn5jPwMVxVV~6RzQ_fwKzK
z@X_}&E_nxZ7(#>It)j~}<g0Qi<29VcGBRYfva9~nfm7g_D`G<44*>OefsQn~Jynps
zGB^xh)d@M1sc!(e0)E9-u;P90Y{1-~Nuw?q2la(aMgsnb(LU5qzW`@!;S}<;3LH5>
z$VoeBP*kB!rSru>(dV$eR{4i1jNyOh3i7kR^)bPm9F3{V5k>1(@W3cl?o_NVM5OLC
zV@-(St=D`I;Q}g%6#aE=(bci9aE}`8Ty}u~{TMwQ4cla!0nv9ncOAL2+u{|Ff*wVW
z<_~pc!$$(r0ni;_?OkP~DB+<a^n&`p$Qa$28uw_zW6+=%*x-Mb$4HMPy%J)=9flCF
zSgiC#VU14|B3%EYgykStMa90md*Zh<ph>MrJEx4~MLkabYbc0PiHj6g%W^kP^ddGn
z580c>&Z8p!>8T2tz}E~dc|p+!qys`wEP2q-H`MJ5Cnv<f!c|u8D)P`kKXq3tEw)($
zt_-@h^0zgF-@bSGe^S_p2ugP@Hq9YCEPEL^EWGHS%|f3ck!!jWf4eT8_K`~jO_3iW
zG#uOQkK}+E!}P%)zDSoVI{c2JWkVWEZ))=yGfnvwmLFrpzK8MRSZzf3+qU>(^EXI0
z-sFL%%49~NtJ(kBJ_eqLPbmC<%BN85_t8iH9S}{yDi?;FKu5Z)!ZUaul?i;Oe`NBJ
zXZhhtz@i-1a1^nR;|hCC3yCJ19tdE1=5APAeuToH#~^;f?+f2Vbec^F_B{!5kar1r
za!p_67M@I-SCHW2{t%?pz`Gr}1_#d7A34i%8qUH6Ar0Ezz3{a>dEi6mY<fT)a?<$a
zmb`F119li_!Hb;q4>3SA{h1QJUxR6^;u-Ip6LIffnk*vj1vSonbDa-}(g5ZqV3rx-
zw)fQ}>a+1Kj8&CjqQUC^%f|=f*Eg(Ny`U}5gh5?-Ma6e38}|gH{DPU>{iTv0wLe5b
zPE9vjWt-022^!H~=3r+dfV4Rb+eq0!w8Kz3%0VQ@JLEff*XWYBS+7V~pBN|L(gQ;$
znpxyIa_zQY$j|_$y_)5fm3d%XSvh>4_9Ehq<}e?nW{yl#5X(2Ux*1}SGJ0i(dhMix
zjpnS^I8smNmv#38IULbaBzbIgAQMk;YcN@g*0PT4LZ&PcMDoTb@;~z2I{;WIeLb!B
z3FHw;p4A4v|LxIHdvB#x9z1%|d}b7SvOyrj!#qow^pVSS_VBO9KS#H~tKbXx1m7y`
z@m#m}+XnvpkME_OtY4zk9_5@k%&mgM9MXn?x0KG)U%McMETLTnYpSZr?d1I>u!SAY
zRmnp%BXL>CdDlZTsiCq^@q;sX6{3O>G9q>#9)GAt3~~_!W8%&E)B$R187S=y9)X6X
z++rBK-j);XyBVuj;h&1kBwt3$E!uZuE642u!9>7u)GQ0}I!69DGMd@l*;xX)P|C<9
zSc*&0Qni1(M|Fij3T%1|xuk!IC$5R^!2Z2Gl8$ft$Yb-~+IY1RGC<NVQSUGU?*-()
z^V&@2gST9;t1i0uG=nM)@%f5r1dMNlEBu6j_DdVwX1H_U@CY9E%e>VAcfpFxY)b@u
z)Vm!!P`bVeoProyX|R;L;ePOn_@=|3Ux@R&?f@7wI=Sm2bttVFv{Y2K8o%p~XYc#|
zYrI~Z^_DZa!inG$pM=V5)HKE(|3bOn_2jNx6B?FIkU>ZgLkj9rLQ1)W<=CD*Q+~40
zb~>{GPnzvT!gJ?>Ty+mtz!f0K?bbni!ppX{*ZWxD+pKhHn><sOX)V{&KBeV#SniwK
zYnAyS>(#MPCvIyA0<0<@s$Wv9N%2N==o8ge>>rTD=*5VTKj=O)F=2b)l_80NQZo6M
zKu1rsqpIQ2q`(a{UYQ%}JNQLp4=b=qnWO0Q(*~QJ{_fiuWyx>Syj!A+y1N5NDN*)k
zPE?~=kA7B4zVGmenl+7jeX!mB<#BD5U};)f+Ul>!yj;q_f5yyT7||^4?EC}^g+4e?
zRvO1ak0s#u>q4h41Kcf2EoAl_t6R(tv*%d0Oas<2__SN@w-@#UDOsQXHg$hU(y5y@
z-VlDU{b@}S5GwliT@NJk&mQ8QfhsP5@!M)&B>{>g3}%x5Qi8=oXQcjeZ%N4e|F0RG
z*<~ISYQrNP5-q&`GYr5Na*=JAfE4t}k+eB5N67v7Y|08jR4hWNjDRT)V@tSqU<uee
zwjD;`B@>GHAb?1&aqifVGY5LAocj9ux#Rzv)tmcz2V^QSC_IlJcFuq1V2Vc}yl><@
z@JS5zrIK5SBkXNdHce-2KoNm%ty95JkuIAw5*f>FXC=UyG|kUw5QOQmL-`ul8P%>H
zG!uF$fbo8iYJp}3czvnB1TqV~mqAH3gt*K}(LSvDfsBFwZR|!DS_|YQa075fR727X
zNwm`7rkODC<x4tPy8Rgh3K0LajhGrKzAdVY5UxGp8_q6^z#rmp{jI<r2kK!<Sy(k9
z905RPNp38Z9{`OJI#SSlz<S;!QRyrxkRilFb}n3kGS<y=82?JTAVs~=s~&6t55u>4
zEk{yecuLgJ?f-u>d+P`Xbq9#mYQZQvRhG5-E`rF=E~h>x=w}e!!~yh2F~XGzg2qc^
zq7QZUh<y##e}xoK1)$igKXn}V!k}{dOv(oXrdN4!03wtw#OgoZ^S)yQyOj;3)1R+^
zp~kzatGS2f(e?(@VA}}7Jjr=l3MmX!aTAi-8B`vAz6-fj5OiMfvLF^Iz|ARSQb*cv
zZw;g{_CC{f8D>$8yM)Fso^{;NvB!|h^DwG7kv9~Eek@h*hS{zilF!vs|5wE=!*j`d
z8BIf6`wtBfsbdv<(Z3gngeO3B)zvp>AbR<PU3jbKE-^vBAs#3b5T&gi#`jlQg91dC
znR7$43tzPnp)%Fl(8_aZ(8q3LKuLHb5d8}?O=!}g2&K)*V14r<{t2`gdJUVwP%Zss
z#y)Hp1_|{igLZdl?U1wQv@^#P7Z1vyTsn3X`!A=xw<qWvfa}~%&Cft$F(a+EX{fqZ
zPevDECJ;?GRxwBPYiwfpm<l7d2>r@50QH^}<B*Nz*aI|}R}R0E!L=yUW>45z#`<4k
zI*wJy5Ug8`g<Az+{={9O=*o6xA2tPZZ{=oGV0ke+th~?LJV0nVf*1^fm}N^TB{hcC
z+T>P$OLRR=_q4(%1Ycr|E^DL;Vn%_&_e3D=sUpSV_?SSM{bmMdGJ1EEh6m|4L`oSM
zwYi?RA*PPhnkQVq`%@{yc6}tV1_=adgty^kb6-8F^6{gimTHU8pzE&|<76YZQ`RCL
zD5Z1!zDgdpNap&x@M*)X!{P8b!lam_Z?Vi4$AfVh_O$lbyyKdYLGeQMzk7u{zR&Ty
znA$GWeW_Nkqp4mgu4N+ceMQIfeYs@b?H<;53BNC`SU=k4e!BvX_r3?EpPs#X)WXIe
z!XlY#BVC)v&>Wx0QI+qcvoN1awt+f3_ZA0dSdcFzOt5l;&k~;-DP?9P!C@jH2s*k$
zifCIDpLb69#UHr#?FNnGbO)w?4q(2G#Xf<2lGt|i1hC~9K)JFbNBCtxIK^aC1JnT8
zmWS(lRrKTv&^h-Nr?-v1JnkBaim1li7;mn%akAfdL_f0QZ>@yQ%dn}<+)3`a?Amv6
zXNx$|{?-Whzcf)C)X(&iJF&ty-{v((3c-_}Rk?)6#Em~ju0B-g{p8wK+JejTuIcSX
z<%JKW)T_m(uQc62KUx;lp(k8&guxV#P0u0pvn?CA3E&ed$Ll;|p%o1hZ1Zd!`R{s@
zrFK~5d#4E}@eG&*Z&0(0bg8l8H|C$WB+wC!D<LH0mDF+*)r!&CJ7)-`7}V~(twe~=
z`gZ6d1pptdmo(s?2lspo`D63K@&nEi5eO1f&a<|r89#Yex%>HN9#<#J?Vgn6rHc-=
zaz=u(y*>xXB-`5+8kBc15j@enTfFL6xG%)iwH@q+#R(hx<F1Ev_45Uw;6d3(j1SOd
zIE$>0v>|T#l@El3JhD9$s!80fdiKJyJ^s`m<%j!E6d0P}NI%5QE%b~`Pw=N#VT(|5
zmpQuzJuIE_CA{u<F}s=(I9_o-6HQ;J70RdDaj7kv&B+_#92N_N&@DBMBMnBAa0DnE
z*QGvgdjNkIxWf^J^q85?R}Q|1m<;g6GM;_{lLQbUfgi=CN4flCa(gt7nDBXJ3BLKO
zm_<KQ6&*=5^$S<d)U<z>vFO)puXf&CBU-zM?dz9{2J<(&8cnOSM-tDMwf*MAK1J#7
zG~d3VN2nromY87lwAOpbnBE4`5!gIg@KCfvsiCTI-4`A77LfLxJ=9P~H$mtu%w1b<
zO9D8u;IZ+%`ewwgU7F!Ft&va`N(b;3cxc7^@pe)siDf)zXD@ubN9%fz;*a|~k4KIo
zG$0Cu8RQ9G?A=RN{yHD6%=EZoJ6Q4Bd~Ty04cWPoT)MFF^h|r4!@J~XrN303_N;8C
zhc7mP4v@)D>b2S9KneCN1e9Rd^okcc911%=iz!CDROe4^LlgxV1fMdc8^q0+nitfs
z^mek`>7ni=d|L|Tj7Bt3h#<LC^{m(N#9EGk@Br<|hh+V(UaD|uHJGb)4B-M5+0^{f
z)v(0DOe-9>%{spPSN8I(x2II9MV-_fya+gSk*1QJ5Qsf@)0Eb?jL9GB8P5}L)y|U9
z_1B8$f^6bG&((YH>(&zQ)7S1i{8T^mD<HqZffl$+<~f02P8W2J$N$PtQmh0o#odLw
z_^`E=nTT0LsHxma_gRBD$mQIt>Biol>hO*z3Ofg8`q<AFs+YB&i5izLP-#9BHCNl=
zJR-m>Bl~d?j{mGMnhJDcwFaI3vxp_9b8-@**|19@slL})X+)bF+~yhbUC@cZmeS}!
zI?xb<oNB@Rd-#2}Q@l?VZcSz^zK_XINSjYk!r_%%^A?q9-|;yAsrlD9u>Y^EF@k72
z*<l`^XD-~%$FL#iex%sN*(TTwhv<dyKS0l<L2QDQdUx3a$i5v(0Il1R&@j@`9_tVW
z#tlrvt_j{AUI3x|lbtlF<9gQu3BNO#=j++KWDA%V=LE35kCY)?mrcM9o>aI_?c2|9
zus~)I$&5=o@kXq_11r2QRsZoR>8?bP($n>($qCDJOSO0c2lXv?(YsRepv~0cKQr$-
z0f{K`J^tbCL0~cU=v63q5<Rg?s$9ui^jfr9o$Q`eo_-&e5!^>6@-uN=&wkh|A>H8~
zHI?Oqt#1wNd$y+&=J#f3M<{O@1ck?qhp%1md22<y7e*WQLA#70CiO?5o2NX>Z8m&C
zjb{W1h_Zklu7(3b49atmj=b{4rY~89V**p<!;4>A!bgG83Sqdsga+#po*3XkAQeLM
zDf$Fdt_WReUT}#{CguBbL$r#o?PF56p8Y%X`xY+q{l|p7!5pw}TO$f*IxN$|wLW=<
z=K7!NU^*quET*LS>=E~H@Xdk5G`gj9wcMUR2iBs97mQxWNwa=pkWrd>`LjfEJ9IoX
zvu3RkwSqR1;vt}#&JE~ybx)H5r-h~a;Ix3`O6EiX6DF+v_s>6jq^I`nk1-dlCl>12
zJ74LQTuBs7Al!k6G4TX}eL8#%@7!x$iiilAPRrdGr-sktks;3Ev&tuvDp0Tyg0nz9
zL&opBylV9WL@JgTey3x}4i+xJf}B-?M^L+W3hJ3MT00*Ef>;OJMnwIfbRR5{<GC`)
zE#s%%KL%g4j2;Ut;~yEIeg1iZRiuY{Bt|2=n&H`J4;nIgV`6#3C`MdbtFecUw8I0L
zOczsc3Mt&)c7rHNXs^!0>B%1tFi8kI{qWUF8+IjZ`n>c@BI9Qy0D%?jha6O3Xsoul
z7H`TLX}IF;2lX#FGlNSG)W5REE-4*;U8Q!NrEAOBka}J`%5-CFj4XSSdaI)(v}UKy
z6vyoVw_B&#SehozA*y4Y{QlLjAc8aDzNecKc_U<d0~@1_t#J;uv*n72&>IARTQGn6
zPB!|(3X$laj)<ji-~hwFTz48J{-2dBvW_aZc?Nu!QH|a(ODB?FxLIz1%YV$=bp{S)
z#%rv@*@7Wv9A1Ccl&%p^0}#Rj2_@Oa&fSE`S&te|2n;S%uHf7_Ukr*)?WvEi`M+V2
zWXHk&@HmiTz0LO9t)bf%DXF?JpfadA1l$)ui$Rr={EJG92lT_P@DxktD<i6D+q}02
zTA;%Rf!}AL0^qCUB<ir!yQi|vi>}_FFebp`@y9}G41<Tl&7|Eq62JK9w|YR<299>I
z(c3hcPp^3%9K8Cx$t=QFNxJAEvV^5Di9CQ-oG7Mjud|9p_xb@MgY(uX1eJuOZsCP{
z2;pK7)`J`l>y@5t_)^)HxMx?jZ)gzfyV8Oh3pkS?ZsR3U_9TuPy-Yn;YA7^|$IDe%
z^ix5JVz`V5=PNFjJ%%Co+zoOkBAhd{T%~SiY9j)cJ=JL&_HR15GC18WLMnFZ&bygU
zs&QdlHhTaMG<wsXm-RLSa#%=Ku6#6IRPY~PK=cqTKuTCB1p*ZmDZlSl^tuZDlg^rX
zXy=*4fkbga18&7%<qBAiaI|-q+GBv^;uM7sM;c0<@{&{--w0ef4*L*Pan5sOYr8Mr
zOe*5mQp}4p2}2(-f6aX9GgMv9kHNF^kN&nTbe8#?lFl>HQB?{9*4z8R9`~(r+`b;<
z!ycp2%gZs--xosjNy?NVZU{kJ(iYEt#g4-ah%AT+4rAqcnKrQYAMyot`4fepi%GxC
zPNa}7fijwMDxzUQ3_5gQtfxIXKdoKW0K-8+^4NaWiwE;@5gM;V^{1*igP%#{4JDfL
zL>Ng=;HU-M)x7h?cDebF0*`TnU75>rwGOmR_V{{N<5nqSbe}bhDcA?mEft!)t6ew6
zXzv$wzrS{X&INd_5zrn;gN-rNC7Rz`C|&f#k%Trc-f>s)vI63DNdML}w$kUa8BH9^
zs!c64Yfr*F={W=nV{}W`qPuQK8!<wCehDwv_?6F`L)>bEeSfi@eI(Oooivkm2hao<
zX>I-TFxf33{M}Ce6x79!$_4ZZyVIJ=__4v3mHjC(+wGL>3y(7ysrBQ{Vntola8XUn
zTw!*2?)5ORfU;~l6=T*o2$-$N;w`6jk3}2h@J8d&;UuufpNuxb2NaUDz7xv%f*PJd
z2P#WCu19GPwLYm>4By4f4LD<Rk48X;p4?LN@2wv{6^z1Vm^cF|u%bksjy&AWagyvQ
zW3f;-%9JSRr)=;|`hH)}>(kRPj-gr%ck)aJBpw*Q2H@P?<V~-yzAcO&+S>P_;<Qhy
zEL$(^9)p=2$WVyRb)~SQzVz@(AkznrbW{FRG;POMpk>zspH>Ifnyx>?$B>&^O5%Cf
zZ6mpi9EnGwRb6V<(Jx{%RFeEw@bQH4_Gj;V+^U&b<kU<RNH$tlwmF5E&cPhyE+=>r
zsEMPS5wOUjC%T*frR9~6e&GktyS%vuTx$inbBu)5U7Yq1D<EKT$i}&|pY7ozzie*K
zC5-M@+Mb;b=c1ju;>ju7pP_Tq7sY&=nq`AhwK=Y_OHOTfK|O8ZGI1g|$*Bca^h^6d
zUltv58>S=77ilP)Vqq4M?4s!zV43#C@`hes34Q)(ZmOl17yE<%N=~^Ya3U2{(VG~b
zgl8D3L0}FOudZ;_%WEMrN7ZKGnRIZijQ!8>of+%ph&6icW9=6|G6X!T53}+8)#C}2
ziIDdtj)n<-f3=0cJfy=3TaH{996}0ku~Xwek1qhJ2nd{uR&sK{ZbG}0DPMZ%==&aX
zb>^VDP4id4>Ps<B$}TmjvqbuAW47Sib%<pj{K?W{{l`~Rd==)=c<n5Qoa~%l{{64a
zIjfX4`3m*RaUFZa;oP4@6E3a3A<&y~0dFO^06-f`=ZpUtuAYv#42R{eAgK&NrjuiR
z0jO6&r_8+C)$v?YIeHN;`eFe6ugYt0$j*Q(8DmWGkxR|TkAl<K0aS<{N)+)H!MY9K
z-`TL|8Mdk9vjG*o;Ej!ybo<%`;-|C1PYYQsSh<Pg-+Jt3^5v74(e_eGzP~E%NAMv+
z1v{ZV``ftA`?Ttx<fqVvTw;Duu^=O5DD0cH**kuF-+)0E<VrQ+0_FeY${=5CEOr63
z-jFE*A>^;x);1m7Ar1%R0EtBdQV(w+I}#Vm%IiT}N34!Y7G{Ue)grjM%lC>ASB1wd
z(iiwsWgJ2s?eFq&eB-vW8SkgL+2j65>oQF<j$`_4*V(^4m~hZ09>Fq2dGjr6!2<K2
z(eBpa^Y$?-2jr9v2&eQ2F-J%}1(Pd~t)eGdLx}Q$;K<=>JD<d_=P=&+^68x8WQCQi
zV@WExdCThZ3&s_)k2jJ(enK2}gE;>%i~Uw`A(4;7p~b8)e-S@=UMeJoLt;6<2#^xM
zK?)a1Sv%RD7v<racgzR^1Hee`K!n1X)O(HfGFRKjU3%SJhG0vXvRd561LXs??8(H!
zHt}>7vylFKo`QG2Z#Jl=^H9d;5m&_uG}sWanZH^X>Gx8qlSiL}SQw41OWhDrE_qj%
z@k$RBZg-2~pnL4#xn_F>Zc^oeK(m9?TOAl?ftQ@)<9qKZFESGym^Zle4~lVWm3r`8
zE>?k9$}2%5pa|f}(`(MD$=&Nrad`X{<^~y4U#6#qmPgAtsJ-vg%|&MBFb1p8(@+>q
zwb^y1Eb4=hvQ0d^t+8jpnw&uT%RYHXmW;iq$~XOebn5{nNzhNRn-`N;<$tl(0p727
z77+)BAVBk}5MZux2+oSb9|eX_{qwk%gnG#S1_)2}>fY7XceWzBpmzP6tsSA3YoUt1
zl^O)~;@NPXKJRN+_X?9<_IuLSi<i-il>*xkN$V<x#_^HFSOyVMg#38TBkQM16ubBR
zRes-}KM1PD`7EqCYN-`%Y4ZK*u6oh*IupOYn$3g5>Y#FF&&Y3XtXKovz+e^rGc9Y&
z<6@dkUI)LCmV4JAPK4^gBVec@-d@FHD|OTOHoZM?IqAfsMez9=kQCi|t;qHVZt=?j
zk1l!hAgGN_BeT0W1<qNx&kUNGzG(*^SrZW;7{QDW532%9;h?*OZfY{tKodPF%*js}
zTXaG=pWSK)^qRoo+<fd~*i?dd-|Efj@JpPdqT%5{eN<K>R(9m(XV?!-4)Oj%Egvf&
z!xg{0ULz9sLi|0&P*?d>a8ARE`HIUo_T7R9pGb}Fj><1r2PtL<n7fEb>Nb8gd}sco
zy+lQ5XS&njX=-`<`wmP(VTHwHck8d6*7duph?ofx6juGPng0}paAUr<!<Vbr3ho11
z=S4H;8?pIszAT@LmaF{^4Aijk@^ocpO2CCo+nB71HyrjBYwE|4+nW@b>=wzO=P{H2
z)uH`FReSm&Hf{Rtd+*_8N@_o)JyD!LpGV^ap9Xf*OySrp4wt0PsPI6naj9%VMvmiy
zlt7HH4ptn+W5bqwX$u?PZn;NUA(b*^`~%Dc!fOIMqxbz~)SmZ9@oTX1cNuabH>wa}
zpLPJjXz0;z)k1AxQhitYB5)T5yf+Z0107zPn3jDIYbTyU!%U`7GPI*IpRQmlOWLK;
z9{qkS54vj5F^rjj?Nub9<N^-Tu6g(wn$av1oeAeS)qyiMA&P7~z(`g<3w+MZTiLt&
zzRPY=_KVUlzCw2UNKcAIeKA#2W^U>9wG_eiVVfmRM$(G=W@d-9x<%E>^#ZCqE><dq
z9HVl|&(&6SHo)7o5UksgTVKqrtqTX(VPciO)p=vKLtAaUA~ROsR{`%8hXi!|HM4Oo
z7==djLN@-`0mbd$KPCz`?+Qs{oGAMk4hi51xb&+C$EgglKno)aqXTpO+bS2N9;m0;
z-FU6Ssq@v7mP6o6U#xM<;8UaMGI_N{D~rUdBOYcCxGs(11*tU06-_3Z?^;zqsTsH6
z9j!R!{=J;5?MBq@;H_B2r~OfUvboJSog8-H${W@2cgCONaVFN0=@>F;bPy~+E~9`8
zy$0Ug3q-Ra5f>LQ{ToR6h!vrzau1uH6nBab^em2(-Tqi1R)CVfZ6g=7F)*I1jD*pP
z=|@FbgwoMMJ4Z;r?JgCKPn(YMtW5ew4kh`Jk5lGNe|8}`$=#`!^%U)W3fbCXs_K)%
zt@F#5aJUxr&*+sbk37<2YJSHTJiW92D1DQglF6Dmk}>ye&$+y_Jy_vU`DcqhUg!s*
z^KMMz@jY;ZAL3}I1Ww|l%WQDXW*Y^bF4idw<k~R7A9dSv{FnYLch;+4Y9K>(2_94j
z30OIuP{bjYGvBOi)WRQ>!F#rX?>I^Iktq5Sc(?$Z2TmKd-a;5%7D~f?2@eHVfK^`+
z`EAi={l?@<u?J0@g}D+jPFHnCN>ucp$vymqhRW-Euk&$ptqD~KkonuellH!WTt0?6
z;R!Wq^=REU33werue`b#4ucHGn7ES|t;CdA#cm2dU8=FqIjS(yD5WzC$8dziM!rW*
z;+J%<Xl$e4Oy=Pz*>!LfjLT;m-j=O+kc|ty+-c&#(?n00s~gyE8NAw?dS|F{kir+0
zBRt`#8Jz)supRhzQb0=u%H{*Os|jeiRL-d*BO}>8aKoM3mxM`R9`e#fNQ3!$dd)@)
zo+C`aA?<no-cCu`P$#Fz+QUEX{na@4>1B42Q6a3TJ-Bu>zn)|`yE?=?<A6136G-c6
zg$?;ZuVISWa#b>r{Ec~jaIc3UF5LH%ReLKVDCHqD$&gp)cR<p?RFVC~arhb(aw3}!
zk8i%zyOI55<e`qE6xiYos`|w$(O-?&9hgW_-4~O|aaeb!z{MiAw}f7IP@O{6@<pzE
z+;DLgaZU1(MDmZt-?~3XKW-oEWcfc`o3}QQ_*&XWeYm(F|MA?fn?0qp?G^LqR1N?m
zZLcsIt7aM$r&$=mC3>KRdrqg_c46{&g3{|LO`1P~t9#|0x+Y6@!`t8mD)Ux5gR?N`
zbx=?c^O-AJh|x$>^y`6?y@7-s+|H5hG;?c<XXE_&X*8pyb}Biwzf<rESZ+EuDuEty
zG;}O^`lw;@c!3XYow7QFD{9`t^@sAyzv1e<okHh&S-63%21uW9At`s-n6q>Hy!_#%
z)2LVx=9~Kxm3cQszf<6J1r`2&CwK^ijC;F^JOk&kyG-EtgDT+{j@kj=0?_O-<BN0C
znM)FJ7s@*z<<wUhD1a1w@Wo&Y7HyfP;L1D`?WID_dlZTD3C75jAmlVQEkjxrrWL?*
zx8$|%97zp*-VhB3ma(kNp3RPI9!7gEv=5E7y>{1dk8BA1^bJ_<PpM2)ukhNhiD*3j
z^M!+nROi-y^AOyZ#ktn8dn~?NV4wx_TEyx}_MX<+?DJxW2dJ{8x|st;-Glf)jRiAB
z_BVY)Zg~_jiVTw#C3+xtyiHCPg09`}6HvC{(njP;k1}8g=YjFMHvH$<*E;3T0%ns(
zbDgRN_#B}bsw|EdKw{=1vT)TP=;E^W4S`rYyhQ{J%Eh^<Iq>q?@YC<G%i4el=tMt%
zl)1sxv2U{nJg!}6#rz$gvl7teUGoXg_*oY+YY^0@H>&hU&v^Vus(WWY+7;j4CnHTp
zQY%99O)_D1X1{<)<Gm0@&2?do2(ug9qf{ZYp1<b>Ul9_Lcdm(Os&m#;B-;SlP{!m}
zc=ucdSa8_E*Z`M5<EquPz}M=9JFUSkuP}8wA6kc(=5G}}?z6}=`{-dJoTv?B-M0aJ
zEnky>r6CQp+{B6_021E7bQ>I|j<g1pDO8oLs#>nMI6z2Fb^vq5n^9i}U28!|0>#qn
z^GTJ88i<{)^ogcbv;T6EeblvWjkbxw0s341Qq`_+0S&v)ooXImBqy^;mGmnBs-`=)
zB^`;si{UXFwz^Y37<&1O&;Q3)^?_7l=S5j2X20Z@$99Y3TT9vmCeoa$eaqpS1izkU
zU+gQT)vC=s$FR*;&95D4_f+<whP=jbjFt53)a&gXp2aE&fAl&_O!5tCMex6T4|)*+
zw<6Tch6pL^>K0Yj&9i)QY6M9`6)muStq^jwcfgXoVL7-Lav+{cT+MTJGe;*0&&=pW
z{KJuoj2d+XaG54>;;;apL&zu#<hDE#%ec4jpuGTxrI~=&K8DPzQ2Nn^B|baeuY6kk
z?$n^I<)8#6%wriJHWR!<Www>t5qpJ*Y@WSSyJx)<wQHBuQ<ls&%w^}lXXfDFz&i2N
zUd_?qG0qNA@|}j+>WqGwR<TX0#5+e;XDPKXOqTvs5II<CRAd+mR$2<Z?k*U?!Lq#f
zEJXjYq@zljK;v#ZyeMcal)!iwZkc)D2ePawxUx!BUOp6V3j%Lhb^bpf>llC=$+%|@
z5iUB~*|qf*F&K?M-ya#lKwbVUhA0B1$+rKL?X#7{Gmq);|I~UNH)U`uw>w8^adPFT
ziRKT*s8tYM7f*1pLZ`#^aukL&4)a+ny=Tm1TzhXB<j&I==DZeuFYJ36rB-Uhbz9%N
z>w_?JK8fm=sw48T;o<#6xApo)HRHDLw?Dj6zYureIpw9YmisEh-h448^y5dDeDxL5
zmFAyI4lm@Xdjc=+BrDjEv9US3*jD4I@~aqaY??g}?KVF1lW`~2w0><PNlgpYL`v0D
zlGqqE9^>~7RTk(N80hG~%lpFXyx5k<*Kd{@q*QiyN~3K{oJhj+3S<{h{Az7qD$h%n
zDx`_;-|4zDyg1IISxcI=-ZpHH8Dl77VEAk|%YOd_7CFXQpNo|XrUJ`eQbCdjLcf#5
zhBc}NuUVJAOKPnsA8{1f$?7tH-kRUiQTM`VvEH%Tx@f-ickj<xiYWEppBoSOP<yow
ze*&LwvTcO^?z`0@|9eh;#^zT+BXRei0r_7<-)q{af4_fv87$&SOCA+%PW>Kx`u^#k
zAAhcdQi-%o{W*I2XQ^w-50{upIlEV<Z!q(HWwL<YR-g29Hm^FDCxM=6D@tP;byefj
z^MkC|75A++<}6>d)5%(=VM*!OY!)oOCiQesy=Yr+_T6o<^q1S|FzxOS;-#o?zKrvd
zc7ro^69ltT$=v+67)i4Ia7Ad{BEHRtl4CCA3j1^eZ(qEEx++Wl!{~TLxA>O%mxB+y
zD6#CDSTfxSOdA3wyRN^^_1q;w4d?JjLW@l!N~d${_rg^-gKu+1zebCupB{()@wv4n
z`5XIpFZJP_VXxoqUaRdJo#06DQ~uBLt!YR*>}}t`#)Z@Cxcw>R(^;Eie2-;W-5P&Q
zQg~tbI$z$6I{i#Cxv6fP$d+(%Y)vH9YHaqv&pt3}V$D@)y5rzn=!5wFMn5WA4lb|#
z19B@94jU$q&DoZ~Ng~JkRzG?3vdP^5m9CC)x^e+F@3{igvX%X|*TT2V*l(us;1bu6
zGJTtw=o8)FDXg5lScf-#i}vd1L4RwfPInT=<fN~-5(od_ukQO3yNiyqHVaeNQ;oh{
z20GnAFj&#eFxK`H`X-Cide@8gY9o(J81m9POTK6GV3CyWXqF=Nb78xUr<31gjb)Xt
ztJ}qA%A{`lrsZoJ$1T+#u#>thgk8DYb3WDSEPZ}BZPDJhSj7ADc$cK@e8Ul5RxDp@
z!jfpt3JdG-l}ANd`IU?`)rqxlc^5mwUFLZm*hA)|pSP|~%zgGNB6f>VZff<H9pYr=
zgP+yZwyG(PmU{M1lHqgxhu6YP7Kc7}?+65`tNGsA#H{SZP&(B|bh5s~Z>=bNIwD+y
zi##5BcR0U}B~zool9730d#&YbX<NiLP$ssW(wx2F_a^JCqENcWri$Jj?r$dB`RhLF
zQ=V$FQ+37bI3+dtB6CIxSC`e67SHn~Jj;GyEZI%!<e6)D@+FZQMEjOjHZS#<7U{h%
z^{+3V(wt<~2}?iqfaLE(r0R^#R*Gt+RR+!H+mS@jH4F;f>k4;uCuO#Ki5)6WAuN#a
zShXoh{0DY<QtJ;<EuXl}l2CumrS<H}AlZ}w39WKelm0^ZC{fJJ*y|hLi)1J}#D6eq
z;M0&i*?dliBX3(`-RHz4e9vlQ=|i<u<ISxsCwWp%=i+lDPmmA*$4fALw0ovfR5xu!
zN4v7f%T1Fg)A^-ar;Fn}r%j-qI$4XP373a9rwyrF`$x`Mt)6j-4t>?>FQFthwK6}>
ztYOkF-Y3r2oFt~(O6xbI>=^ylmlL?DB{n5a=!09OzLZI8ORGCS&3JBl95cMrnOnHk
zQvrhk4>{EeY1gw?SiDxs^1`0XSfnHq>1|y}E8LH(WOKf{;jBaE;UW57GOMgV)NfMy
zaCQFdicaV!1soPz+3+e|QqlF8&!~>=3|UJh?FAdjBO=EVN;kDxDH6A;$o9TV-inwn
zJ<qad+U~EDXy?;6-N9#-c`=903(KODRzJ;1!b6o*vq5C^nd;#`PlGw<-9hY>bWe%G
zV|Q7)q|_bDbXY^Uab#v!g(5N#&YVGtYc2K*zeyFhdh^Yh{?@qTLWa(ZiyLPR3jzg>
z+}1FpjV8D)n1q?U=aPEU_`}0D(ok%Enc3cfepG@ST!j@Pk960b#1$~m3Ab)4H+3M(
z&!lWhxEsAWmQqv<m)l1*4~vShh&5qm!TH$^WMLiZqq7$%+MM%Hjr=D5L)dDJYRaqR
zEXrfcG^EUEJKADrJ#1IHm{oO6%qMY>p0+%WFLNV6tGB_I@SftI4dgFRO6nV1Y6(##
zxA>zNrx^<+&m=OV1B@U2M>jpYvP*hfZ?VY;Bkz)Vd6l#dX5uaOMB^tX_Q=Ski2pbP
zk5*t}q29@_GvIP)`nw`;=UWG-LHY8A+r+f_#EV`6RPVsqMcFJd60xm4<r%4ll%4ZU
z_uiZnWB#U}R(aQo6r+Py_@2?mN3G{E8$^8n-TBuI<2J{7RMl;SlwWKNW-+wZ|G>D&
zHLE`{eb7phpwm_7={3V?!)Bb(gIiDiq3dTosfFbj6-0R*`RIEGaWo`&9ghB;IFRKu
zNY88$NWq_eRPKX?Nf$DA=glcr5+(<s@VjP3g_`-!9KwEz(~J)SO}YzmydzFBiUM3^
zA!t^<tS8K_Ay(*rZ;10zfo5IRi2fp%4aJ?GO9MuetcCl2lYDNj)$dnS@UFGQq%g~l
zj|F{jJ8Y@FXdzZwc&<C}UT0Dt2M)Cic5rPv@;7%Dq<O26C{+06t{H=U`(k$td}^J4
zw%FBsT|rZx4Q=x^epg%6ZV5EoJ&Nx17q2&}s~ewgooB7WSB+|Jhx6tzO4O9u>n^=w
z<^Q8@^b|_eQ<zP-LkUGY3|r!g+q?|3_uPTBQj6d?##-R@>cn9e?HMVmdtIyH<@J-_
zTIUHo{}?y7Vv~?ODN#sEj3rALn%NyBC@SMIDx87#e&Z<Z+Sk8vFgcbCwp757w7mS2
z(i^h#cTy|Lpx}7lnWv-hDq-|n#{p%iJbCP!^Q3O_5Rw~UTw&an9&wgB<@2Od)FcxJ
z*N{+2*lPI5izrlh=UIkr2#IH;DLbGPspy=64C~?`c+-}aFbq|zMnP(vy2kS0fo8s{
z7G<CiK~w7mRLLil1il#hLCr>U_``*WB})tCP_(kzGe=o(Y)=A(_>)iXogZ0md^cb8
z?vRh>zu7dWm35L2O^An^p$dV3-5t|vRor`YU%z9*iKHyEh4j{M_E|a3vQr(LV*O!(
zS6v^XI%?l|+S2yOlMA!1Z(_mg6!Pl))b%H0fAOTkQlaFGA_gfQu^YvJR$Hq~i_(X?
zuiB(sUXeZMjNg*TG1WnDou%gt#%(4=6)v{R-W_b7bxjAQu499Tsb)xW)A#Rmr07m!
zHWwC1A$?rZi*={xQSItBq_wS%t><=e#QQaY7xL;qJr`Q+tf9SHbsb8x>ScH>J~GKI
z2gUc16;yP#!wuTbRpSmL*>B0b%bEmr2KcuP_5yWXe0y#+@{igfal4WMmK64xb&YRN
zQdiR0o<_j+gQ4udyL;(*mI<klaO0EB@rIv$r$Xg#Sypyb-s^fG07v}&=nwsf9^apH
z9wA23GRjMsZ#wV$!;hmv*ghxhKRxE+swlYPc)jr4w8PhLeWh*E7#-`r1g)<<9A;48
zE_OO6=2ux1UFl70zxgfyxQB%2K@2|0C%Sj%CdB<FDWz|O4d;=N=5cF`*5z!BFjO$w
z(oTsI|IIa?y*tPHfjzobkWGJ@`h<#ZxLDgfk0mQoV@cLsE#58hI(LC8iPy!B_x&m+
z$_SUZf53^Pab;G{%YoOuh)?cxSe?31t8EsF%C<=8me~`*B3a9?LT_Ln45|cNcfEAc
zd9BmYKhG)#Rr3OyA#fBUJg~<5iXU$Mz0q>dpzB{VI{Ilt=H6Jk-MYc_%@Cda4)vDj
z=Lx1<;ag^flDgQ5KJDZ=EQaK&rpCHmapPmuRSyT=_w6QS`UOf$&uNX@DwB))_DKRY
z{MbC+xs0jQkd9Vx<a}18qk%0{lf7xWJn<5b#+AY0M#x-x_@GDRY2n6khbqlV^}Gs9
zZT$)*LaAgTRJ}r4rHqb^ZOQtE+u&J3%BF&wi?Z#DGL|#`vi}Ls)U@?AqtpAs><93r
z<h!SIJKy?C==|Wa(OrM$eqV=7SiqS?pKeG#jWDiZ+wS>p#T_GT-GjNgdOO|83K57B
ztg2SHQsJ1$Zcii@+v?8#@Vbsnqf^~VXZ2&=1?RQ-{FdeZ;KA_bN_ZOCXtEfpusU+s
zMn4@?hoYQ)arrfny3S9Ozec_C=UyOwEEyd6jpbQaMb=5wnqc4}sa9Qs`Q!Qxej6s(
z?$gI_8FB5>2$LcH)m1sz(l@SjY}G%(n{ebcygTSki$hbLFMH~l5bYJoExV*PHQ2ye
zIcs&bdztUezxeUsZVc6J$984D(@7JziHRk%AZAnBu5Qi8wH`AnY|#2ow%obhH;;4z
z)#}!v@+Lo9Bm+;$O>$W|i6rY-+E#}Mjdr>QGb~#3)xLY0Cf=R9F~&B8@|LIiY+GSD
zX%}q$pq8~QY=HH{nXtNBqq#rL(`{+x<1aR<y*7LvW5}Cu!P!dM*q*cK(}D(6wBDIN
zwbOr&`-cgyduIHnWFvf`nm{mh=y3)e1a%LqP!aq0^y{}*^#cd#+kOdX!S)rsS@Ic|
z_@N;SluJX!(YB@8n>&5Aq<<<@yypZlY2_DGo_uAEW_Ff@WVQQIvu$vQq3o-}(jm6>
zdBu-~o)!5Vd4aV~@B}`4TLRRQb{de}NdLP6y>4UEl_>>!aqv>;bQo5RrEjdA4<~-)
z?A7p>Q0n=F8%fqGq(!1*dt1etqS{$qFMpSa8^NS2tkR-lch$RZ3TyK6-(>yZEOSxP
zj=5oU`Ayqw#M!LQi;@qs*R(kkIvo=}Oq`~yvi;6wLF&9F?ngy%WyU^K#$#qb{6BkR
z(tUK*?Ral7PcLd`UVie*{2!gG7Gy=LERVD;OSTJn+s=y$I>uE_`H#5z;Z9)H*V&O=
zz3a>NwA5n*6<~OW7*D!@o7JRSyz~QiofeZVZ776Rx8d5KuQljhnyRZ)4&*j$u34~g
zrB?=3m^jqm8`f}$F8S`$8HkUKB71iA+0_`zProFDO|a)e16Lm|dD4AeWF2C$oVKT?
z{7=lOAAV<bh5f5mo86<?ydN5SW0m)zJKXw2x4BdwsErhvyzeDVkWzm|$%ZUJCv<SA
z)#qq$g(Po~<m?@~NyfEVnd5IYt}dT`!Lkdn@xgYY?y=>38vDj|SStqKaY8>yBZXy=
zhw9*RxY4B<YcpMs@^-oq!_-O6LJ#A$&ikZ8*Jz$Cgm*2lPL#)yC3%O4r0+hhos?iN
zT{LW{62wTLQZK0Z$a>{12Ni?IeV0^4u}qFLJIp)9W@Ulih5<20kH5T+^hWo=3TZ;A
zIwqT1DFwZ|NDL|x6=7thalUJ1vN>btAEQ=VTq}}?FDjZcyD6<STHV_>uuB3}^X?Ev
z_}CDWg)mCRPiIV5D<I{Kb^tXd8`khX<MErhSvOp-VJ(l9YT0f_ul{edWnU*ezFkoq
z7IGd59PGWqt0@J=U11KiQz1@PKgP@XCQ$68&Q>L1bsh9^s8I4Jlt)RJp$2#FX5SRo
zAsZl0%Q=_q;qi<#YFn`QoVu}kr=EcE&#86w$=M+-iN-%s!<if#oL|oghU=2_mi2Pb
zdaMtsB&hR|itayF`df@c=>zYim7<fj!m<#INgqf&wPsefg1qH$9`6lVcz1?H`$RU`
zg*EXbX`<hQ6?oo;>rOcQoyGHYZOe5nF%3Vldy;h?+}z}4`thb$i>i^;afvLzVpZq-
z6%-p!mGo(0_qCbQZt@skgYq@Wf?Lb@Oh4<5v<t7WM`MQL5lV?7MZ6MZmDpIal>$uK
zBHlaB(099vm5O4Uk8lLGvzEK9uI>7?OJIZ@*yvDS`?mZ=iMv=5`p+2?0bRUB;i=Bs
zpVM#48>c?SOI@VG+rN`)n&upsZ=@ZR&vw_h>|U^BmNnP(odtVp!GAWZGkmbd-2+@`
z=JW6y_Lijs6z%cCFF)#GbE?v=oIZv_8nJyq5iq8*Gy%z|uuR>`Jzs<-XQIM);lAH|
zT}#I}2Hq*J3)Sa-B;50~=<HD3c*wZpAvJAsRvz{Cp;r&8iT~|%QN<P2F{-;_Iu`&q
zaNC+Zy;ElpD1Qytd(N*%PZ&iTgWoMr-i1r!nnkNOmRG_bUWOa`z=Ybvqr9-PS?9?7
z3!N3M#<y1ShizHAn^(pP3BMVv8yA#0{J4IN9E;N8Qpn9a`whQ4Uc6|YXz-6~ZVKjg
zC-8Y=b9$%Cb=<MVi>P-y_&nFF`PeMfq%jGsu*lbtIIJ(MfGzgV29T&XIvz5)xjKpz
z{pIrVw@l~Pc|WY?yF#fTPXFjy%R#?Sc%ViAhVl(MV^TJ|`V~x?IISBOFOUS61qsKg
zsdwe_aY_bY6Hj+X(NHON?K2*%6vz&7*qozE=`K!G>2So4lsUlIse3Q@LvZCbCDy=8
zEjOhI%m7lJh4R}rWJN_zM-fhjC^N;4EHhn7>3|~MKVq|a9aVKmK6jRGp=-jBfqm$z
z^jP%*bL|GplxuYWNvPzhP>EX2;hZRg**^_9-!`o-zQ&V$oXdxDTM)Jj^*bWEMd_Wq
zZ;H`qW3Z?b>gX}`p=+c9I+V$Cu{<h4*EM+SaE<;6^^<`AHU9caTwxVj!})XcOT>(q
z3ubAT3(|h-lWH&iEtf>uP8p?%4V60gtQU{&j;tPj;5_xxyQL$)rC&>;L7qdp2-B@1
zskJljW+JOOQqRPQK6)^j#}an-)1hc!_i+u@X}8XicOtxFRJGmo3MNL_Wo>#3EG;O#
z`ek;jp6Zl6rj_9!UCAFl&!%>vx+5uSn~`Fr5ElIPWHyhE%uS8;ccPJm&BO@Li)Vh<
zxD3i4=krcXat4#tsPKI{+`NOLnxd~)>D~76{}nsqX%L<IgM8_$(}gg(87bAXq0!wk
zcAGw1)#B}n|9t%0L!4fV+r&e)R4Vh@)v`{FD~f=G7CE`tmf#6Z{I@9c(Yzu3sBF?{
zBzulWJSt6(xH?hg9@!@Ji$mKyZYilNc+@O=lWeIB*3+NNSZ2*v!bi2O1-YYc+v_)-
z<K~%m==)~)C@ly3TuqezpSEzP@wTXK2n7B!Qlf%pPxdfAypAmCbK<R1u^FR^Ss_r<
zis{O%Bzbn`LL%{UK5uMK9>&s-rcawyA&y490}IVQyngF1)+u)CR9Cy5Pwxm5tsA5e
zA9K(?zWqq2JRqa&YD*jztvo3mm22AUKgD_yLub&GYekFsSQ@8qk%-8F-o%Wx_}@zJ
z+xP&|X>CAJrjOy-G~hH;YwCOyG2G=*_tDi)!^%42<y#FqmMYEJ!9fCF5gZfcbFKa|
zuoas}x3k%v+S%EpMjDxD>_NM3H$fkrKO^YTV99P{JuEMv!)GQ*HM_m^_6ngwa}0;{
zll7n&QLn5I*UxxRN>l5ud465G5IFAnHGgdK%?}p0l{+{;KXBDx1rzQT$5uZfEF1L+
zGWceo5sEwU|Il<63{iD$+n%AjrMo+oE|o4pkS=MYyIVoJq@+PbWat>WgrPfz?(XjR
zw)gXXKVkOlwf4G>GuA8gok%~Ndl!4o^#~ka0@9|q$|aAPx@lQTIuZt7k&;szz4b{J
zH31}diNB;?Mx7Bv>@Vg1|2g;g<v)HoORkfN^KVSL_|f%7Jjv4`emhO9xiKmOx~&Rq
z^#bCewo#zlki;%O11CR7bIDcf#w!GctqhxZpZH*61g)BE?6&!wloYa)Pv({S4)ID~
z1=N4=4~UjJZ<1A_5_@{>ynpbWS_39y(7z*-7d3fEhD+_P^D4Mc5|NRqcxWvStf=br
z(zXY&`qQ3Yw1Zvcq5XR~OIBUnYpiDdhOW1oD_fP*xlRaQ;qB&`EU6mW37%$V{7qdi
z5fu0lVfA+-){bx2?KRdPy7Z2R_pUh>-sZn)&y4i&pBT#BKasJLvtHa9C_Bv8v!v<_
z)iSkeKBMFOHMh<!7>Z&igt2og`Tw!lsF?EqC_(pslt5CXqpz9MA)?oEX=%-s$_P8{
zoIE#cB<g+$Rc0_o)y|060aszGkMS$oISi?!cN4$Qt_)F94L?y?8~BDuist^+MZIG*
z{r0~7GsJR6OocKTZd<;&)hqH=+8UVrTTui~P8+Iamg*i$JD90Tcu*Pll{gvqy_QO!
zS`9@)<}IC_{5*-fGr7A?EKu0#U)FXs^PxMpQB;byvMmaRiM?*`K~uSy4#90fpu-)~
zq^q=Nq`zpv?n^}*HoI^)F8pIy@DuphO~@Lpy(VFI$Mn_A+g4+$t4z&is&-jrC3b_p
z)=Lz~$(noVJCT~>LmFS`V+od67JY$T_8*{ZN&b)iP&6CY($f3iCNrs#Sn6fcTfwI4
zdd}enkUGAM_SveA<a0f+hZLx4+H#z@r1w(yjQp(6Zj0Mz$V@QiHZ?516oID6E;wFQ
zR#LglZPlLrEQn$BHIjIMZ`_FWOIwlR#Yi`4MGnQRFcsGz968l`A{M>s_^yof5FH&c
z_f#XwmRPrIszQyD5fvZ$sIselBiuTyvCQxNEB3pbW2w~`DSX`ohae-J4(MRLVUuuD
zrV%cJbJcGbC3axqL>a3o2!vdYPkNXJp<IJ`X+b|w^ts->xf#CXN7za^)hmt7EU)eI
zhb;P7nZot$JtgY0u}5@Z4%}JXR0@Hj<pbWFT00?x_~0di=gU9XXY}|LSz>nE@<jq!
z!{yLj53PkYiI37(Oo7Q~$AlMI2t3!_f|50_wWLSrUa0=~-*a>Wp5wt3F|dmQ&k>%?
zG@Lp#UpD=3rtNP0dmio3OQ0;{?Y<`6N052`_;aahprFM=dRh*-gd}O>l`^ivFmS0L
z+RFN7V~ftoDfdq6LgW`1Xn+!p3R#|OeYShplA|0eNBnz;|9A$aJ;IeiKwWk<a1phj
zOW~`Hh25=MM0%Zh>XJh|5h~3Jf`K9Qk`Z&GwPkCj=vm7jK><^1^wsJ{gY4otUm1L8
zv{k3|4@BkWFJ~@e0I>-f(=xiwZ8{#O!fRcHQ?#QM7o1T3XOJrNea+BQ7pc)Pq|__h
zZFYJ+5tK$Y&r-AN8x7YHYi^xO!8!u89n&fV1>=SdThS1BU-KDy^LL8#8ljK7B9@g6
zxI_}f7tO=JHu&5*cYIWO<Gt9fuIT=c4z!?78WcgAFUlHy6Mb`ux$;L$oK7FiFhMut
zJ(%L6Z0#0m(~b2~BRq9<j(L2a<JF9|4%gmaKWS9_J`dg~qp%t;;|SXvG@aJ^-I6eW
zTkos`tfEvgVt*{tb&1e;r%cB`S}pYp`Np;0{-S^3l2o`Ne72XiWF<!N10K->s`118
zSm5XkaEBh0+v>&lIlZ#YX>YHOmp)XY%*NZbMr*1_!%HyTxw-&n>&Z$TrsC1U<SjKJ
zFV1+z)ZKAL0fITxD8q45jF0&4+WVEu<7KzPgD)P9<^g`|QhQio%LReXq|6j^FJ;Yt
zrlkcVE1_HiV;&IfbBfaWM{(TOEtj;s{r8fJBrJeCAzqJU!j34h3D17L9>I?udRr;B
zY?Wo6_dn=#p_a%9nW-b5ufq)~_F78W+o+n)6sFfDjeVHv^f40=s8T<y?rb>j-k;s)
z%4zXz-yo4PUOU}AFkZec(|{ZNM?gPNtf5Y)3^YHE>Gd@~w&GP+Te)-3wLmSZR==YS
z!J169VPI){vb0R<W@;}k;{Fc#G?D8^B%0$e;G_V2^uQqhJ8wxc!Pf=>qOxOa08BQc
z0$2W`=lo7?Em=I|v9RlCf9VsW>~D4HL(`sIGe$QsWKKvI%VyEY)wERmyk9~!-E{LR
zg)WPWLR`|eqWPB?!^#{BV{%{e!0+XrI{BOqeaN@XdVY9jZo_3|FmZ_k0Q@3KqtbwL
z$FPy#Ds02m_#^xILo3!%gY1MxSvEua{o9e1ocIYSavcdfV~r*Sk67&~ePt9)_DdRn
zGexk35yo{BhZn)c;G03p%x<GJrp<R>9_q2F2)FCY&~yD=152)n{>RU#X%$tV4%^bb
z*$50h5N3#FZ~;9nls9X17;m4@%h?2-A^0(BBmbaYW}=@N|77n^w{>}Q=kpi>P3{X*
zV5sNJF|j}GN997z`Y_P5?FRfnB}lnfR=QE@;8fk;PxGsvCd}biJF?Q3p(TSPk?7XF
z4fykti`hIY>yN-c<i9_QF&J}hS)KMyu?>Lj=(OlE(g*%}>lPaC5Tx&SS|Lio=qt8J
z(%+Hf-J+B6owb(SX!=v}@JBrzTRaX&XoW46*UEDS?X<!x<~(OC`eHzNP(gp|@~30p
z=wY)2n@>?OP;bao7S>8(ZW<h!I{xPpKLA_OB)R{fC`TGjpHBQ#wh<_aAGmv>vv$s<
zr$_kea%LYkWQB_O=0jw&Mcf<+hkv50wzCOylSt55n`@f=sGjfh`A-13I98m#-|@Xz
zksf)tL&Hru!!7-LNyS*o@jndMV!2o9mN7n^V1O&S!5I275mR{NDGMChS+I$LAUjH+
zk%0w|q>UmCSsV+gm7Qj0lMDNa5Ud|szPLDM1z#U$N&2Uc0Bm(&U{ND)>$UQCe7sAe
z{C^tGz&{SR6aD`QHPiW3lfoblYlA+t9-zEuvo%eU2#HmzE7Dk<km6A-=0OvB@-Cmr
zwqwkdo6*RO(?b#pKyZf$-i#-2=4AuiN>@xr)S<x)Yt?==X)bFCFTr2)qRuSf6Ys8|
zcCLd{*ma1p<9>h7seKmaqZJ%j>Z8iH+F^Pz0W%+Fh(1Se>QdnHYI9ertbIC69wNP!
zGAIOXb7LRB4<NCdDsywOEEnV^`fNPHv7YqM`|P7K1XYy56$tZ_-16Ng4EMoJGqN7j
zgX&rQaX`=)<1kK%K||s{D$if_sO&`2AhkYgqQADcM1zrPy%t1ZH%H;0*kG<ikY4V=
zdwndni)5_B;KE3gJM3J?8u@1l)t4b}8*J=NQuu#|;frvaK_<WXtH_@*37Y-|yci!J
z$h_t7UMKPbQ(N{hXkKj7w#(O2T>HhBwjNH-s;e)4kp(|P%EjzCwLe?oIJ4g_ACdPM
zNI36FzYjtg<i3JW{X%Wm9b_L2$a}meD2nqik+LE4eHSVrVBX@9x3SrX4csR43Q)TS
zj;;||tZ)>qL~{qt=I20fFid)_OXyJLxW8klnuq#Xf@x@QB$}Mv#_?7Ma<dqTqY3_=
zm@R%RTChN*ZMX=w&>#XY#7}LPd7Mre8y%T)ecXCWO<G?ciO~LKCVm>>qua>yu@0*_
zS{D)ng@4~2o=`t~?Z?#Q>WYI9PwzugQKE9UdNR}l(e0|1*-M*8QTFy}d+qy5-E|A&
zj`Rpbg;uu4zIt;jdw;`WV6o~~rA2!*EvtvRxdJ}Z@31^s6@8@CSPPc7mGQD9u_<O`
zktZ9^{V<Ok9H!sMY{zBbQKh+l@0AG&9Wnv7drIsmV$g*g<5|A$`ZjuVm%}}sgCG&0
zoCfEh?r^6@{||PKQfWH(Ir<%^I)qtT;Nb8hX4fvc;+x{X>|m>3Db@UnRz3Im00Iat
z3#bJ`;U^cnB9hMwDzL1D?N37WzdWDi%MX15V-y}s;xAlTh?(!ojI1k{u4s9;sxerq
z`$O_tuo2weFD=QwR66H;$JVWx!@|pnFYQ%LC@d#bsSPT?+$kgcndDpt0p!o{O-=-g
zgN}nYPB|}cW_(X74`;0#Q@e;Is~wMrFC|z^89N#_qYZX<I~xqqN%h)$BII>4)w=&0
znevqY!m6RS^!uJefepy`Fu)laTzk4Wxu+Zh9Sov%N~i#r!E}?PZeTBErqBm8bJ{5J
zL}mYpb};w-0>lp2dCMccrfL8p$+8$HKdmQ{)@5*T-E(IV4xMw$q@Ej322Dy<UqJ+S
z{Gx%QVsqmhRjr~BS-CG3CDrVTpN>L&vBSLi=K4dK1gOE`@W;K-t?JK4dQS4R-cJp`
zPrkexK3Usj{|u_wD+fmC+LZS-GgH*O2&t$m;^#>&e%<}%a>F#>;P6;;p0p@`Upo*H
zD5kdt6{Nmykv|X0yElVGV_iy)W~!}x_??hY>*)6DkW=z@!_)Hrn3Ch`o<<7+hOThJ
z1VyCw{w8Nzde{E=;P~@j7<n5G3lC-0h@P5_${_dZ{mQvZ-f&*0Pgz{-yj}0lnV0eM
z2Txwg^5RO@BvdYizHVsTb|Qk_pn1z(d;dNQwt2z6*<fE3vAFZoaems;45wcp_!iRX
zs{IiFb*0w(uNPrN11@&o5w-IeFm@yCr)c#&u0!HQ6nIXz=Y|`Sm8!n?<9#ycEjRKU
z)O4zKZ~V<?7lnM#^adb*rQ3GA0>i|w8govc@2@No6p}zm%4rHe7>gPuZ4-VE5e|4O
zTY#UtHD4Rh5oT2duE8f8%Lwu+`;rH>w&dDR0~%()_}=7Q`$V(@jTLw$s(>mKe^_>H
z3aS1hxM30fvgs-_{!%1k(B@M%xr+x4vOM-8ntRo>57fPdLd;<sLPG`GZC^Cz{}nIJ
zlmC*qw!_S-A`32@0oNT~kgHl!r$@+<l#oRfYse6n)2z~>ZhJ*Wk`<DBV3vmgA}?D;
z2C;*-NkM;LNhs1kB~aQnZ&*P@#yLsqgruOnad~nO6R!8CwCfdw@=lHeiuh#yDGHEu
z(-MlbYckVGl5mocBJg*P67_A}`_3~xBxY#ne11Mm-E6~mK9djJkUtS?I~Oa22kt}!
zqCG$4KA#s3+<h^*L4K$Xx*9o=dftAPnRt0q7<3W8Rus5bbP}+99pLo=Q0OpTkdIb!
z&mz3JN;QgMJ(DK)6Uw2@l6#$B%y9ENq}OXIX{!u03T!Y=L9LzgMcBh>*sTwWF^gAQ
zoYL{P;glya+8~jiosy=dFY3n|noF$F)K->{I0Z}Hrcf#CC7iIfs?+Iep<}N&8;9NK
zo0n0ks?@x7O367fM}?7S=ZEjEmdZ6g4g4O)W<{+U!2%4@eS)dg{T!7aT&jKLfzKU)
zd{<qkP`ZuR)&c13O_0E7QE@bG58T4q7PzEWCqj$v>_Tl_yPg)GicOt8sXMsG*t*^%
zXI?3pK~_>)z0+jaBm65o7$Bj|#m-wo5~<aXrrqgN+geE(e9EJCdI4vPELn<k3L&yG
z{IE6XC3S+E`C!4d$Mh+)k<U@NJ?pEbKLH{o6^4_-*>K@(o!>_p5pBiTTg^c|(kGRC
zc+#Wu2zg&O8!P1SiH5-HIA-<VirUSQy_HIKW24Y~<u1-8L8JX)88|m8V0CaQF8K5;
z4Ge)wa0_uw&#!L53(aCpc5sTJd|176&r^NlpZEG#+<p9PPGj}da&mLmdx9Q%P`BHF
zf@Vr1*vQkt$eMNFmi0+Wxj(YhmAO=SNeRcpIL{*i;3f;idfv!=AbeQCeOfWnZUBZn
z8rs+f3nwq`gxh*1A{GQ30d+D{ZM!t(YiJqK&F_V(=qk}4z?tOOzcsWrW<oah_>NJP
z{j^Lk_y|?{ug(_+JCXY6$R%xxPBU$D$$2LU4q7HsQ%v2;LE0DRn#S8hFIXqAd$eS=
zF~GM72%x!TT#)E5Q)+^Rctu|%=Zawb(YImo=Ak-jF!itJx@1uFvFn)W#tqa0h!*Y3
zCxb3o15h9T^|He!v9!r8FG-WtsXt%nR!(=ZV5C`tM)u_h3ZhB1uXIJWwBu2O<yB><
zY0pw)v8>tZ7xjWk2O0+0CHzJf$(okd`mLv1=iJeIS<rcg{V6B(0>o{uv`Zyfrl-se
z*HDkf5Wccq+f?3QD#mJ&9YuF@(3Xj%oSypczcg>8gBCb8d+ZGixKB7NH)@fYw$3#q
zyfWXPF{p8GI+oFC#|Q0%1P+7Mci+tlV}ULbLBE5y^aC5&K;M(yH(5a#jG%2IkdpMx
zRo%Pgt!Bt4PKq#0D~MnzqIB$hR$@IAo|v+9$&2;HQO@iugY<^4SlM%wcvIGg)pF$v
z&wIW%{xL+(%6Ex0xA>s;w&&~TCzz!_aQjSG?qhWjvB~3}&T0AcWgG1FRs^&H4|;^3
zrahmTz~HS{uO8NTp4Ms+g{1sES4%YjJ?J8T3|PyrS2kJIc~{I<v|fUu*x#lrb1J+b
zJZmj2__|`QW^6d1x|2UvcX-;?>h@)cUv2AE>)pjh%OZHVqaSz`q6fIRwT<x7Gv^w%
zIjz-{o4JL3;RF8ew{O)iHiYtmm0jF)jEYK$-}vkWPrXKx*4+PMzR%hpt*y1_q9yZF
z?FW*RPa2=3T6*Mc**>7Rr_i}igEN|@QC3yIVR~BvaCNn->59v0%1<orIGLK<gi!hn
zI5o9+xG?feQ=zq!Nb0Xl^k8Oj(P&$(-!p@$Ycnrrj?F`QitFR<yqw5LBry+t=f7;n
zx?1}$6NE*sc{dz6H@I+nG^*|c3rAz!e%E{W9wiEOK;L01N3Tv^$K3kG>}8BGEFZP@
z^D-ug<rL2@S4D;MlWgk%7}7*bzp`NwH}y%Z9}a6TU>iZ|^j1i13BtynZoQ7Z0_TOb
zVIaNhaH#z8LA&;#+4u+xblH<NxtLv}6z*a$a3mRK6Nx^aAK{1-OwQ%h=b@q-{2gsn
zhuM)dmPu?bjkW4ChHulP-`lUT@wrX2*dC_sJ~y_s@BJKY`B82*lFtpMcC#ZzZeyMN
z5sl!hEP-n*2)yW^<@=W9XsPS%CrY65$!VqSA?-P|9JrCtsWKJVuzkO}LzL@+6IxPa
z=+*RjH$G1?8whi(o4-*CCC8OXm3bjl^q+^&4ZN0CjbY*wAEHRB{~OqH0G-6SVVBm$
zKyB-vp9^p&IEm*J+%E(UjPPBz?CZwGao7tT3Mnl>NlzDF3tNXHhm>MteDRzjJaNgT
zCgY@FV=qWSm2-VP%fJ3<LWIei(Fc3wMn)6=Q!XDxu=4kcYVW`Xig;B^x#1Vl;i&Te
z`5BxmKUKb$PM=??5;m9wFp0ANZr>T#^jV<7S_w+KMz=>yUv?R)_+EXSd0P>zdhjot
zXTF`|=fd?=_E?o0yj8!+X?QcW8*&zG5hiQC<YSE2Az#wo<2@Y5Iy^|<Cflws9p8U5
zDk6|;^gZ}b)Y<nZKeWMYq$V8QfVhS(0a8Ga@wEPyS-o`7wCtVx=Erm+C8H?DP8P;4
z|Jk)_{E(0p7~|kFj*J2~U`D*QV!G$YHOL0u#Fzjmzr!$>*F=OIA7uC>8=(g^q^Q!f
znD5O*4%B)mVC`dkN<!al(Sr9{uW&!}fhduK$*B;vq}8K{^AuV00?eI8YQ3`Mm%gPN
z^%5TDl$x7ik`)qo4Ry1-`c{81Q+M=C!rP_-vv@U8{r4vWHg%lg;o%dY-R<!vgytrs
zF!wpd<n{%qJ@+9w$kq8UBIqUpcpLl?+s-)JTpgU>Gb;dQjHLi2!>V~SxlhUN_^cl4
z=M{vC(nbyTGYy!P#AfFQIk;ashj;%LkJkdze&GH23tzj+^ba?4MMYj~^e5_(Ed`Gc
zW@#YmZ5C`vk=&0WZI1+8>l2`MiCRm%;SZF>`RbDH`N?h5TcORGD+niJO+JT6*E<E!
z_?lpHuj}k!1GZ><X(az4niYOqKfJ2_Y~;8mgO<PbGJ-f-_{v1qJpHCMRH&;)m@A__
zUNXh^O?7JNIFnK}`p$;}pEgg3k?)}0@b}VH5x*T}+Q)m+{CuYFVn36c_*QvudzaU~
zh3+x-sceIC&3n`Hy9;$G1{yN$7x=^m;{G!g30Cgu`oeDkYp<VW@!TbGS|*N;-F8_i
zS4%7%$+EK^K;H`+!kez%(ykujcu&&3%0j-AT;hHpqif{<d*yhDMr+Yo!Wy|Lk=xKV
zgl#G0^Q#fDBDz<PRKky#t24rG_vX83YlE;y0Hu0tCi>}hfEYoXUQk?UzLozYnL#yd
zTGR)gnYSSUO{fG^T!=xleyy%Ua5dAa{jT7zcM`b<+*vB=1Nz0tHqF1l>Xo3W*%db(
zZ@ZK!7ErJ78;n7_yyU-9feaZ=TL|y=q-{<5>0cT%I9x`P3eB*NYQjQ#E%oD^`J~K$
z(^MvuA%H$z#mRE<NLYYs_8pvuQqvQCxxj{ggL_0@vyNvs%si_Of5lohrr(q;G*wIo
z0nT&l+<@@hr`=q&;ehAsAgQNSsfUQ0fVSgnD*va<<p*XpHMJ9<HWjBV;Myxl2(%&;
zbS_kGRL=6wG2#gDBkvrl!wu}~B&Nl-^`Wy@x=s`6$}PyEc$~cr7K9;@A7eWF9Z~dz
zBZIpkS1OG#GvkjUC47E85PZibyGubE_~p&>L%EL47B&EipS(=&cd|7b<Cq3w(nt&*
zmd<N2t&BeiOO&2$j3JoZc>A#AZM<c%TV(DWW+|JwH5Y+j3gW91=(twq{n!cB(LqT;
zMdzTgLnjhqDBvJ2Sw?Udh1<`{E_u+~h`<YBAnf2qPYS}M%`5daM2D6<BkV#>p3_f?
z=v%Gh#yfH00vb2+-b-ot?Zd1@(X_bqx*%=p)a^Hef7VM~-%!3H{Bk$u_AQ&Hfq0>f
z-|lO`1@nzQTn|8yYu()d_ngj#uxDin@7Kf+Z{OVb$Ndt#8FDf)ody@xc04~dNd-DT
z{DE>`6<bhw1}#3gwi#`$(urV?Omc^buat&9!VEPj2KO*j8G2Au1FkbY=8fX5%Y^_u
z)LrJ$=dcw`_8o9l79s<zyiKS%Y1UFQz@y=BNePv<WClU6X{Gz}!;O15;JOwU&5*De
zP#=g9JaHX@uj^9ck)_YIoAV5dLYRXWrz`DQp)J`eN!mIvHuyPtw9ny-!w5@Rj{PNA
zlg3l|a+AWX<tCRHA+=~yhoRn=MfYK*vcZls&5*1<eUVmA=Ig_TZBjE(NBF>&&c*WI
zZwLzOc7)i&-LF)8eyiQFh<O>{MP;~DemXsvLMi9=!V%_oYys>|H#dm}PD_)p=%c2J
z{AMT0uTVXwv00mov1><$hT}zvY~3&VmLi<Qx&7msEcr@{E42%skxpu`+*>%DLBafC
z0nc5B7(a+}?;4YGYh)`v-zvgh?7GS6g*H~Po16aGc`}Z)|1%uhuUzOld2=&mKEiL#
zbs7N&oSNAtLJ}Wd5Gz|#1p>lKqrG#Z^Xb=p^w}@7KH(6+(vV3E%y}P(=Se?&k=^Vp
zQh;pFk5lMP1zpGo5lP*INqv>NL4BtEw+eu08==&-n^Z*Z^KEXA$-P|=cH0SNTX1!C
zHQ)g;HeTyXW+{Yk%tl8?+rbZS&k5WB(`AH82a}(5<>B3l4rcu@Q)jsMn>fR&xH%pa
z7!NN<8jF;d+-%TJY3&V))rdr+YJBw25q8k&kgYw-lTlt7^u{E&w8G90(9gUia#p7X
zN}xuiVk~z5Q?(l~*Wq}ph1Fz|l9~C%AtlkT%F5clNeC-J%+F%r^7`hxp9NH3tV{Nr
zRGv|=NP#z8U&v}&Z3kA(=^s3xMCjrSVvP=Bw|~>0pM24~qEDQssm<lJ`3uT(W&NN!
zHb*N5_D~t+cpCFGTp8Dmdr9Zhm)*q=u6M&!$3N)MU`rx3sn&}%n(vTi$sB#tR29x^
z%-0K{XN=2g#i_qsH(Q6CX=fVGdjl}#%|que!QjKwyD1DFZm)l~Y&^7gZO&(~+Ye5K
zmW38%!=*I1dL)=+1t64H45w5*+uxBzqstH*`;weaj3m}C8@u;Qi1)Lj7!*IB6H>{K
zx1KkT>%%_no5>rOHN7S%14!v?LC0*>RVt@6bawUDAXU-be=Ov(aQiyKJL|-gBs$Z-
zfv;xRcfKH7K}k-g!_ShB0<-9^^t{<(o$m4}ltwulijd;nl_b%6I9`{So(#>OEO4HS
z8X(24!YbWGJjr-WZF>QJmFV?1_}w=dg-7&o_m=v2cm+{QPwl1X%h@BV0tv8t;8D4t
zgs<IOnxQ?6?E&(5H40AhH*Jfnvt`(p;zacIN9CZGD8m+~3U+Ic0m6Ypu2#3ZAtRE(
zKQy?LmkWvW$Y{weU&TkvyI{U!W1v2!u@wP{+JcpeRZ_aZAI=F$^@IC`koISCz-twK
z%Erv&sq4VmMGskh*}S@HrVQ#`y!5eDnUkg2Zg8BSHRl`#Jp0glsIGyrz~umI3jhLG
zg3efym;XCFwq0L8QG-^tgPyie%b%v&I!&JUgC142ETu!2fH=|4;rJ+1(=~$8UJ@6r
zh2yD)j@m7Rs9j;hto_Tu%+i|ew2HM@Ak9rjQy1KK;HGp$d*+Ce_janNi2Hs|?ESMj
z5YsR=J~~<ZBYXU!3~-{{*oOl-v<~bwqr0t^mBM$@&R^M+5#l^hq^TJaXeO+ZZv9&h
zD+u7JSoM6chAk!H!%YdM^1gM=L(NGTe+qNZwYZc+=^NCiUp+ntBY8+s>c<_bU^X)R
zUaWR&Z4&$oKRI_k!Y>Tz-b$)jlah8^b9HT+Q<_cnul2+g0Lfo7|Bwt=>&MLtNOmK`
z`pu2@U<64~hm$?mi0BU_hMisX^w2nASijtyPLBuWfTIL)MPLlO00DfA#hUQsRJZ%O
z^+prW8DGUP`0$ql<_f{D47c2;N~#XqRdy!6nBM}9<{D}zGw-$%+^y(WRp7H4Up^$$
zjSNh|lI(F5R3s{YH|ydGbYQ%?<Q24__GBr&FO_<>NfNd*!)M2MtgH5ex8apE^WALp
zp&M)S_4U)yI&s3>+<RJ|<CjT-_(NScl4=t`?4(`l)6&Kc1yg#)TOJDKrJ62P@hFP&
zIYZBT*K-VWOL{|%e9LT44hn*A7Gb;lAEM!AwLup1b|rJ>PikMh$7p9C6H)(urECqr
zeK`$JUFG`HbKe9nJ06Vm&olqNZ-0U&U4$YrCERBo?E6uvj<tqzuWZ)E`6b0Xr0h%1
z`vB|S2%hot;brs5a1XOnd#;(VZBBkF5FYZQzQuX}IpneqQG<M}whS%kA=S9gX^Lj8
z{2`?+^uJv*=n)uHX@z|}Jq2yae0+S+L5c-g0AZ3a+;c#p^J37e$}o3!OIsC?H1J^-
z$t(gDqE-5)*=T3_fk`nIvGoRS4o7rm4t#;ki%xEi=~cTSgVS38{Q(Yfof1Jby6XQ$
z57aWl93f801(wr~A@SEKirPK1dQM{YbNOcmA5d5b%&m>vDrE@fHt$+nO^{{-R<<01
zN7k#Slc3HD$+5_AZma=3+LvC{2E!brkpe8iwl~I~SDv!6&B5<iAw2fD+m64!A%s@H
z=VfO$n-`c1v>{{#Z*mE+zn!U*Xg&Ybwy9b3?W;DfDWBox@{j!y%2I_y_HSxqUNGg9
z)0KCC^-Bc0?;~sToxECKx-X*dUAOP;lmca6_rYT%L*L*`jUZ$7?7{d3qN;=QmeGOQ
z*81$b<1ohE7~LBW3DmTGbBLqmI<ySi%511CSOKA8-+U)-KsCZa413PD{YVu3(-M;2
z0EYiT7?Xt`=toKd>PO85rx?t5x_|hw8|!K=Z?7`gfI3-yp@K?ErQ<svNUeYTIDk;m
z7m(u4@kRwv(tU#`@j}>x{FS90P3{e*hFd%+cmNYHgu=sN6x4C%rLEHkqp`N!@oMcu
zQtUy<)&yNt26&Y(JEK;9EV5Z%n0OSz2<B&@s5ZmiGm{>Gsh1NBBWuthB*(~bqg|c_
z`3ar=eY{PVeZnd-=9O`A(?!ht9x7DOSX7Mlbi*}&RT`QMgva?nrnUN1&DQ|%SdKS&
zoHFSKPOE}n#n>vDnXdj>@u^WF>9;>OoN~^#Si?GNEJt9Z(89*_pQ%(HKihj?H!8EZ
zZ@+T6i~oCXtT`Z1D)zTGdlQ6%nfG(@0o66Lm;cUJ-J<$nE~^*7wCmE^?6Y;)#8{ez
z0y?7t)3|*SBO#Or^;I5(sX7287o4zQ9dKTjj8?KmovdivAzqJAjATKeT$2phGCp~s
z{Ko2-+{(Rxp3rbL*ye-u#v)D0VeGdX)3Hf@73|3a?F>A@Jl9k)vl`o3F{nTm(`%3)
zm*7&~&oV<nW&FP6D^f7pkENIp|6?1O9j_>PcVw(61$A=f1><TzCOK_cwUEi4l(u(0
zAne)w+NOukAAav^y44gk>~jJMF(4CQR<sfPOHkNE(A$5m`FuaPHl_qXtgUlDj^<=G
z7HjPQAK!tpxO0hUMYZ#Sk8)2o0)71Eac#X392T;?w5DxX83{O-qWrxoj}V=O>U{8x
zsx<M=99T$*qFE24xLix-X=$v*&m{DTU(lXO3c)OK-Z>|W{ba+l%Kfmq6k8rJ(uT~7
zGkR2;vwaAb#0_ykf>~L+)Vf4YB58dWLMg%o616)Pp5OexK{qcK7R#4$`^1)|n^-{G
z)CoRLG?cdol|Q%$FPZnWGO+^@;f*>LF0+(-zBm*JgX(r%`Fx-MxTZ#jV_7)bfZneK
zdI~bTyTh}7{%IDn|NiNgz6Rknr}$5Q#vVTyjH==X6hrN4uKbZ4v;y48+~48X_H<dk
zt`l^rb4v5P9@J&>5FNzVaP==+3ks&W%cp5P7yUQR@KUWOE&Ayk3>(Ps_k4M~u;b1=
z^2fDvshO`Y&KFD<QL_($;_aXM+PU~Np!b)?1rUDW;+c7mgmAIO6``27Q+)oToCYp5
z7~>>i0?4R9Qmi4pWgdeK@HYa|;S{sJVK(=_oX@?mt&`(HTxdLCbtHw3Qu^C}3%z6R
zkXJ<zEQLyFFMaUi?C5Nc%s_p&b!;p*AED4f)yUg_ntpb~d0l`!#;Li43ntJ|G!^%8
z4IhzgOCMAyNeLNlw6N8g$Juv?$zaUXt@@<}^!oDYv}9%NyWsALzLY#g!G8nc(2&N)
zkKqvjbBCCck@-|NebHSgCrxO-TLp?g^K;?asgS)=yLWpkX4r`+osF-$UzsjUsq4zD
z$ft(UTVQ>h)e_d5PM<=_uJ!hr>Qv7JO1QGLQ51=%A^=Buz<~mo(acFJ+<C8~cLK<Z
zWG3_)elNnrW1AL?;LJn}f{PoU-Y!H{Lt_A8MLR)bI<u;3lA;f{JJWI{s#I{~x-`;k
zmaYBINmZuRV_@2js%}2|=ErwsnEp!}PbbDB77+%SJ&DsHHMO=5tb-w!Wj(&|_3E_w
z$-U8YASe=j#V2j+y!`X=R4(4u3#2%YY<h&o6Sdz6!_<ra6FbyWzx8vU%AHdYjhEy&
z(R$<6ckC_I*Pw7G>T6Hh$9bN@j;a%KU-c8Evxi2g_-{mTB29F&g;~`vR)+TTd(wO8
zpR9;g$`8Mr_|$qlE9uPT9Ld~PX^2g~!R{wvm2}js9e2s#d4tg=JhwBUz;&UMO`agK
zflXKECz^+_AQ0&0Jm_g8;+%wp<OaB5FYNr>&3_fs1a14japU=h=Gpw=VC0GO=_2=O
zqT|c`e=Ik;?I!vr=lGWTKWHBiqy{j1aVpn7oHD<b`G&+V9mtDbWzx}lR7lHR*+p^E
zKTz1EEUKo_NA|P3J>ljPS2IU<rp1$gZp@MLY_;WktR_~>VkX$4?F~UaB(`3(QOqkL
zYG<e6Dx5l~9?S^b+BgcYWNvn9I-n-@j@Vz15S8AN-8HxB1Pt(5MjVF|hH7V01AefX
zI>F{+d%gAbYBFL0=%A-W80%HP19<8Bh5w-90zI7CM*r|GWC|Dm<CyRO@K!8)c#T43
zHC-mV&OSw9;ad#}qxop^zA>n-_sCZw!d4}Ko|tVeSeJT)tiB_`xe*1TTCMgdsh<$e
zkV>j})9y@F7d#w?44lM*MS>Txf@29cE=7e>jdY$pLZ1S8FB*xyDG#9A*si81)9QZt
z)n432yNP7_Vzm{Gl$A+CN)EIuoKN&(tTnz8x=?Dyv@hLLW^HI6_pX>>f9Tr>8)pvj
zarPR1<_ow7<V}VV<vd63ATxA2X9~qyISu`inL^X7FYV-tvj&!bD)3$X0BykY)O(hl
zWNTra$tOPd-p9Td+85@u7Nu$|r)pR!@vceP=cR>kT}<@U@aYRI@XrXe&SjyN$O@J>
z=D`cb&J#H0wJio-U2ndV4ev*<iSx>Y;W6J!H#Ggq)D6PGjdgWwEZRK!Nc#0M2h29g
ziyDQvGRPNRSgY0+X__Wp7_17{s2n^HN=TKuy4QBtepbAo`KrcO#$X$U2Ld-Ie=Z%Y
z3a5hz#iHVnRAUTeh?SMFe?zT+x3rwb!@>8G$by;uY{sfTg)}I6QUj5CE~9-49^Xj)
zIz!TuVx*>fl1#uba>H!&az6Xlun?Vl-;nzk4s4;I_y2Ca?+UuXeFi(suQ@#pwMG7;
z&Z|#B*T+v(fp<kg<UzYUk4z7XZTDV(Z>3I9pFn}Y)IlJ1E+7@wc0%%m@HCivD^TCq
z*va!a&I1NL4KLq{@p>iF{|k<R3W7y9leh-8gBA2FWKVy`c0h^=IWVv#hreT-GeE4D
zysD<ns;g&e#+W=PkoMNA%S636I%jt&_b-Prkw4|H{?7YEr<gVfA#s0UmK|}u^f{f(
zXj|G2mGuJ<Po+SX3h`FsdBRso@zYdyL91Gd59T>HZ`mhw_Lg*8NsspOel*N~uY*6H
zWTf~aQ|^xKmVe4on#g}o>4{uQ$Oy$8|0$C7AlOmNPaydE`${E>_a)%HoM`;<>P%?%
z_G-B{T^2CYLPCpojPLIQ7{HQsWN1FDar#EGB(PtBP5xOTu=7U4A{R`i)McOngHPHi
z1dvVlU!V@~gHLfo#ASv>TZ*#{mL}xS6D;IdQX3p8410{u0P0e$+kkDWtXj8rHXO-u
zTISYYq*)dmg~h%s7ygZY<5`i@sLG8jP!uB^ru>bsJ2TnXOC}Cqau;GGT&5wDKJ^*U
z*bDd^C;I&an(I|cC6SR*>JIMHomWL?rz2UBsRj0X-UjQhozl~8l;zfZMk&k9+md9f
zH?ww}sp{jEO@hc9NH1A2$nN34B@%(&I<95m=$y`4Mo)bbHIzMa6vyBND-wKX!`s7C
zxXcF^bSNt`-z9EHTc*`m)p}5Hu$*JS>SeTnJcuyWY(hP{lvjIp?CkFpPSOy`%lWWC
zwv}&ZV|E7g#zm@+Qpv;-t3m}>>3wHsV)~c2u?*@n?n$vyEk563K6ZJbH!D3knU-Mj
z{xr=B9!*dc0c(jkSbHs9C&p4!&%Mn%F2z*FBiF!rK*@$j$I@L$Y80Y8x>G8F9VhCD
zmFG!)Wt)O&=7-HiC)3qDIH$ZSK+9snw>`k#+vD^AbNZirmiv4j1hcB{02+*9q%Mn|
zh@SRL9!qXkX`WUA(L6Hu2Hk&?!=yv%vFMrT`OM@=`K4-@)K$+D>C+XkUT#{C?_2#I
zq5$%4BD#^}px0Aj+NSxpV?3`6ZHV)T6BU!ZyaogBmae`nMuTOgP)BPajs!LDniLZa
zA@tS!zlcDVS%nQ2U=WV}6<UntYj=8c%4Xc$j1jGb_XeMYp@q;BQb9y)TS9X1_lV-|
z&UZenLEcD5*vMOFo^3?{Kc;}6@(8z+*xFL&CnL!F?jCtVhA63%`?r%leUZfWHuxIo
z`s=aUPLX$g10dO-=-8~ERy0^+5MYuk8c4%$iMT!&B&^3Vt=y{%dup43!ux2KG58pC
z5hIZeo_4t}-fA^s_lBf3ErraJQ6b1Yt_I?1r}23_q2XOgf|uTIhn+3S@;Z_%NVcSu
z6EjZvr%z4&X4;sq`(<fm=x~n*Rd3e<cQVT5)W)Rg9PZroDsuk%PU(EHeDB9I{ac*&
z>0VNzMF2V}w9AdYKttNNzW|#ntBr%U>p7}(>Df40%X$TrsDmI$SU%b+XAlTWMkh7(
zhyEY_ZH#=N_c?is!}B>~Wnw^{{))J@d|n0qmNmC6>9(GkM5>M$xh87Gd>PTcui<>G
z<^wAjgOiYBm2{r7NU5P9{AS6C4T9sgVYJ3aPn_syR2g7H>j3tFaFPoyw^&E@wvGqh
zUGq^;`pim*1sk<%Jqo+EYS$M6_2sQyyDh=2RY<J$6w+Et_v*z^Vj!CUGzl1%i8<Zw
zh$@-&a&N!-YWNIzAd@NN2GN>1KxX$x5@z;^X>U33)QhoyNQgTgcnK4a670$)T_mJ-
zZw}MO+GHqC@lf_e&>D!Bac1_~ygo`p$KP9(iejB)Pn*~vzjfg3|0IQy^XWF?0l8Gj
zwiOFOfow-udYt)?i}*2|F|lNQ**7a1vTU$VfLgUKB4}%1LcO+t&p?|Yf94>A^OC7;
zWjFAv_!mS5mmu%aK;Ptd5hT3)+p$?XIrLAhzZzQdX-|#rQkugq4l<%Y0;M_;(sN7(
zRjg6Uf&y<qMze>tS)mCj(0T%$KYH1)&qT6UbeLpbs{c$|4HlG{K<m$b<zn#)OkQtG
zy&^DO=*3nCLSd(wabfXdCnulMo93j!{?J~QxS47~Ddv}I=*fLPHXko~tsi{sxFmyG
z{#HkGfjUWm>|~?;`;S=ZT3>sHj|q2<#+4L$^|w(f9qws`(M<VLc4yg!)>_xT*_3?C
zFvROcj_hYGfy|)`sjAxSVbqd%7yM+EtsrKj-BXLtvet&@m*I|VTW(w*2NX3zj~&d4
zg)rpEF_ss-?cTNRW`ml)P}&Y;KRgGhGBry)nEX^!52ia2!JGNJE9~opxq-8Uo|hwZ
zb7h^j6u=$I9?lApFi(vpQ0p4XpX}FY?+qZf`j@2vnmB-Q^N1(sqqbQZ0x6UlVPQeS
zq)}ylAS0wca+!(Lmo@*dL+@OAgD=AhiF}SVR=(hvS%iqyd(|X5z0w(urybl4-4P~e
zcob8DVWE3=LIg9buF7nUqzLJsZA0#L5lla@P;F+jE=TuJ1s<jrVqsK~A&d6!db926
zg?mmBS<mm5jx*Jw$X#FLJu%b|ki01?J;h-LOyv>y<w(mY(+2RUDFe8hFbnN+db41i
zHf{&=?vVSr*7+_P%Wc~q!}ps_Qq&uCLqSF0tfpUl(pqy0&s4#NPa@b7Ohl67L41kT
zG0{VnJ$no1V4iv0HHG0UFwDq7yZb2)VIrL}^*ZsT9O>b#&!v293NHff<B{<jQxBC^
zdj4tHqJK}%KHs|6fmbunW{dQvRiCtP{glO+P&~vA;X-SkzY*I7M+})efKd=qYzXOP
z?JTG+KH74Tks3A%feANQ@s(8CWMy7MB3*)KuSYa0r4CPBbSJQDGHcz9@SnPHDTkS=
z<AKOAP?&N|7df!2J4kB<RZc#BAh7U?P$ye|t-zusSlbome_tl<lmw~W;WTU(b1MER
zFpeSZ{neu5`_vCkCG+W(evm}6K}92xHxc-b^bbdv{5Gbcu_HkV3_7$0Z=x=7Kt)&u
z>ZOvu2t2eA3xCgMNum-b=fX5bo+%=wdGDSP;^5@sGi6pA9r7FtPOYB1&O}_0>4-df
z6*14W48~TX`N(6+F9%1?Og>05-*z#~Jz&^MZ<d3#Tbz;S%KC|v$5+{tAsbxYvMwJZ
z8=Rj*0##B=M~>Od_p)6_cEm14JlYN_pe?e?%CN<HzC>K;iJB|%3y+^%cI%GUZ)vy5
zH<6xfR5_2Tk9;Sz=u*pcx1;Ua>TBW}^p=^m7rOs+AB!7+K|q8GX?tJ`r|oW$!3qY1
z<@Y&A;F>UI{8hk=kr=;!TSt(y&_x*hnB^+|=dYFZ+fK<<+?4Gh3y_uTnI`D_RdRAZ
ztaQHiMFEOHY0fzaZ;yR@{aUodj{^K2HxNDkeGo#sOc&X^cLzn~$l=t=__}9~kE2S?
z{n3}?>vN-}@gAyUNd|`SeRi1^Ob4^YIi5oT^A@9bI2a!_Vnz}&!S&&5_gR-(F>Vd-
zxF;#@-$_b#m*|wN)MdoOi%<RF?o`r~tMo`o%eJo-)~EYDyzt&&(#;E-hqSZisDt!d
zxv8IMZ<8exn+3r7Y!3rpgKHh_=(|RRB?}qBiuQ7@VVy$)gojrPx~b;4XMbMJ(P?Ff
zl?K^jWKpFyEiv1At<}3wcWiBZ7gZB9pA_iLNyN^d(F~>?`p9_~bdjEDUGu6*oZ(ce
z7Mf<Set5n^M|%?5_^UqgND)$A$SvepOzm;Z`qyT5GvOh}fO)_w2~mt~ECmKh_b@@X
z#q*uxaP(JYqW3?(7H?T<@7pQ0+UEwg+C!UMWlyX|hvY>w+D7`R7fgND?&5S*L=O&D
zI?eAe`m6xim3`ECrc#Q3$=q_Gld*E9Yfr;-^eg4pDGwK@JzNh`w>Z{b$Qi1dt^a6a
z+589XU2e|$`3Mh6aPP&Dv*A}1N4JO^5p`k^Bw*SQB&?_Po1?R=#a6Owe@s%{p`!gQ
zrUv)b8lW;xF9l>~Jo-nHojjm4$DgOPW|H+|d_g#&Sv-;%Z4`0-gG{BNRZiEs{2gXk
z%_$}{qPF&vpXE&*tCcd%gWqZg({6kjw89f1A)HvZkUx=q<XEs=i9qDH1y1J#*!C^L
zCsXva&86<FSBU%hRwK;gnF!vcv5MCEmV7H~Bcjni)x)P!jq_jP;isOHv$(Ajj%#(8
zapaDqt_pd`ZAtJ73&}Or^*~L8pBGrR&vA*<Ev$ez)W1#%V=qPiKR^r9X>oOuKN|Y)
zuGk|y+yvERplD{`L&QMoJvVAhlPfv$8|(;$l!vHO`Rq_zqOY<q7igP2tv+Tt>LL{E
zG+t92w^Gf4KNaeAlcgS;($@doPtOl#-Qh2P6cau}+gJ&1WIj4q*rOq&?`x*M$lOco
z-46(O!OBpDPW$lDzjPv4(@@Al0za6P_e0Et_C2;wWY59fWP8HB_Q0@*TT3*bd{YkL
zC}UB3a`g#m)vesWh*`L0?Q*9C3mHpGE#FgK>}3)!$;WE>BeMIU1BiWMD4wmo1e4Qm
z&yoE>2Gp<-ay@HzJxGJ3^$40a8K1J(?{@cXgoBT7*PNwXLS@+Vcyg)(%k(}7qJ6a2
zVh+7&$%CA&Bz_BxC(k=KNdUXROkVC?lM1IWn<DnsYrTT8{CY`{iO<kZdleQ^yzt7O
zdHVSyVv(i=S5x|P6E#I!B98M62)uCfGNt1UlVi3|!w2uzX!BEzqecNvh`IE%pt+82
zgI%QexT-C@%YMJ?5OW!>DSl39O&#_~S7vdhCVyGN?>DMqGVuHawhc(N$5~OR36J5P
ztsU8T5!{PP@a~{YF=+@A(A=X6OzIBsLI<OjCv#m>BeKEJjMk2VV%`#DJa@4jppb8=
zea(gDgte`9d{I$QkEY2L-ZQv31c5ou%a*)}N=2111Ma>e;pw$0kto;+MLs~ic%Q$#
z$kT}~unq(}+pf(JQP%rzDS^DKBZ|A)g23e<-T26rAjVlsd_etBm62V7hNin-bZUHx
zj(67RM>&%7!q=KMUcXiaTv#MSMZl)So98GiXZib;R1-)zYXt?7w5RlinOCZtI-*rZ
zaSr<d2x*c*aK>rDc~3OyBjpX+_Ojr(sz^q%>1ATRb6NxcVcc5Gbk;V-m=D561O@hN
zcGdl$BFQnhkuqfc90NeqvT%W|*p7*wb5JO?<y0&p1>JElJ#-&}$f)B`m7%4B60b%{
z+mQajPsy8<@wD9&NP^W4Yy|>oExS^$A-C%(W~)rNn__T(qhPuvx;5karP1Yj>(JID
zfvR*tuR$jJ8JML1)^TAMS3_YY!DsEOIQw!pr^{6pg4TrWsHPf-c9#LVgbn63QPIU^
z7$v+Bl1+oN3Hdm5i`c|VfWUNT9IGEvG=eK4D`(EI&X7!fM0=(-nX7d#F6nMIC|v@q
zac>%*JaBg%qc)LhoGi{+b5zP*fS2P|H{l))hmuhwL*<LjE;D~rO#?{qNcbvSyho3T
z^`X$%WurOSx-Y0m92N{uvqxKAu{$(xwnEp@3OQ5Op(6{M^+KOf`w@TH;KF;ty^}ET
zpt|`h;7rRtK0=nh1mOLGO-m7<$iri4UBktyBDtw0KnQpZrz4J@kH3G`eB*OklY201
zu!^5LWPZ3)fAcfI|4H(9y~i>b@WGG1Ww4?~`?Z$Dg^<VjE8rONlbzhF&(Z%qq6<S{
z=If#3u*P9Cu8aW79wkeF<br4-vr_)5aMDl|eV+7qS!$htfP7dQ+_P|4ab=KC?!It&
z&^}Ry%a^AAtd?ENQw|14-mj}FA`#<r*E$P{%dhGasjrk`8E$O@HsskVZEZ}X_bz`H
zaGbCh63`rHaF;ei(>S|u7*7vp`8<~_1Gn!-?~D}nAjmsYkL<*O9uA=#)QZ_`A3)1j
z?|rGj7r#P_EKRE&DjgjbK3Z+=Z7vJsPSIg~W|SaDQ<65TWr%{Ot6u`IB+ZV<oaa{u
z9M@3DC52qlSGfg0wA%-lV|TL32)@ZBEA0jC)7C|*u=s}P2DjB1&?t~9+UNtOQC+IT
zKNK%+_rti;?4TKzUr)yL+<1<T!)~MO2IXTw1wDhdv{@8||C+M^*LChoVY0qA_kxO?
za~9%9lcbBjv(nN*Ef$1$u<5>LSm*hzUh3^#Yt`s{;?S1=<JdQr--)W5_un?x4C^8-
zM}4=~TpSIceRlYp1XTM3Ustm2zeS}XfNCAPL`r%*Ymg?|Ba)~lb*HsgG_~_vpyUTF
zvO(5H0rwL7F^JXTlQQ(+K5^IUAKDLlq`<u}CP3T@Myf03P9`BkuAAb8FT29=<cTUn
zo%i7y&(HwDS+Rjte+x`xiAtLYXNR+O%y*Fz&dbcbJ+B!xe#_C+XFchK9BmXNj$Ed6
zU)6~Bh7sv$WacOfK0X(*mv~>Iv_>L-oZghTZn%XHiT?6~MoxX%TeKA!#B?0xAn|Q>
zf{$SSsm$g*HI-iB5h30o7wV();q$S4a987*^hPs=qFiLcNy`wJ)>S(b^oCnJH}JP{
z#GHd4try4N@UEFvg_UHi)%Zu6R`-%S;8g{}luHDvM@iAIexT4l#?|1wq$Zdot^6D#
z{e$th4_cWvly2K~v73rLx62wX3OY{rj+faW!r^iMtSbw%HfK6^4ZvLC(-pHqC&AL#
zv3A)UHrK8*if@f~!NBdVR5BFK<D_dDZ8aRMTsp|Yvj+=;EJ8xW>H_bD(fS~sTi~5i
zHwO{Cy%aVg5xxC(MU=unDr@iS;$7)%mGaIEPE2zXr|#~$bPeC<kPL^aXJPcDfFbd8
zTXWNTB)LO&;-U_t-gGIvNIz>Tm^@Mzf+O1p*T`9-y@=G_J}|YkGav)}oC*4Mb~y+B
z;{ZHxVCdBH%20}5kmD_4S}oqTl}g^{fr39NqmSCr+-y2Fnzp)lIAASkC2<Rm9(6VO
z98Gdu@aJ5es9bsIb7l{IHbNN;BHIx&JTj}MCs_wYqA8U1#E>M=FbiOo9{u);9AED5
zhlOvjV3pkxois83?I{$bm1r6+-rNrp=6$agHKrGY$aJn{8!r9kF=s5manb-<6V{sq
zavrVk;=Y3YO&^TXI`4`hu3lt##fsKH(}X|rQ(Jp{neh2ioeWf0sLqHtjLeiAbWBiw
zUQpFlh)ybb-Rq;dNTI-PUUN>tLh<u+G^Bv=J~mQr%uc%R2XiBb9JO`9e2t>fu;p8c
z&{!d_u;WsDl{wQfo+Zv{o<{R3<(Zdcw^B}is}b}~wHcc>D*hxsUxLOTw>y3|3RZA?
z2n7f5;}yI4u6wd3GlCdZ5yRiNHgkcr|6qMyuW2jVx($}^6{6HH<o#B8G(P7)f7L-?
z=*RNXqXsEg=)*V^wZ-=eg6V@bYo6P}(TGmFHx(+)e?&i-@no6kJ=L@}6B+Qr^2j#f
zqD-MVpAlAAFPH2qgwJ$KNUZwhkL%s%UMaH``dd<kSgCcN3s>VW^>AFWul^GjSSNif
z+feqx;AEiK;R5Afj&I+~6h-=nb$Ci#2m^vqN@zR*;7dn>-!n#D*Uv^uAFO-0ySNCW
zFur8gmw*kzP+oO}RmbG)UbUMuO^c6x(18dt?v4&O#d|E7l{bNR(3oP#+Nw+MQzd9e
z=Sd%oB_o})HZAC-H=2HBV7(!#pbhE=J4<6|_h*!$3Ob<9My4Lr4Wf18NrV3%01QF%
zzVysjAQ9F84c<kNl+`)p^~k?dgriL87NAfEZVzovfFYAe<4S&4r)flx3s;md6P1Dd
z7(sX+Q%KagvA)XRowozWKhjqFgi;2F*nlG3r7<ntgCd-XJNs?<&b6K%QQ(5Gi>Sx|
zNR*k_-b!gh?1OQIEv=te2L-{`x-bAbvnvB3%$11mK(w?a606E|>{vCHuh|qwUlFU3
zRGAk=DeY&`M`8>)|2=9<Yw$EGk?#FONMg5XURqZsxHcw3M}v|17ZLF2(Gr&z>rnn+
zvjE41px75{a<l94o8P$tGvm{b7Wm|RKH17Qp($&HNyQc8;O9Xl7vtq?>Usgp?mr8y
z(6}{CROV%!w3gAavpANGoyhmn4JLp>tUR%RtBk}HB%Cg4JX$t5Kbc|P+^^+vY||8k
zoQhkWhu4t}=G%g$db1?YNZnZhOQTnY@UgMYCm})v?sP20xe5uS<y9SP`98p3vF6qx
zF~malP-qOXn2nnwI<{!K=_TzVVRHr>H$KUvWrjsQPZd8^z=&RFnx;nA^`VV5D3}8|
z4h%w+(SlGWZqrJL$j^m2p2;mqf$A?0$HK94$*5&sc-PG-x3rwvxRbxk9Fkeem>{_E
zdAg`^zO1pBS1$aH)HMf9?*JG*miBF$9kpKE(b{mE`UBSoL=)LsWC$7U%%Lxncll>E
z?}`bG)OdvGa;XO!7{@28N#qv_uKvKtnuh&jb8K_?+Q~q1|6}o{#LOTAeERg!t;#9j
zWC14&-62`#u-hzP)n?au0gwmrA%h@2vXeZYRVuUd{qCOM2U%;w4t#LC4)N7umf1s8
z8%p9lRX(Gc#Cnv4)@83fZZaD)l2As)+$1;<A||D9pksRj&`~SS432?=^$h_W@-9XP
z$`lgeA{IrM%^WzH-Y7RHP)0<?<Xn0_o;eOW>3ha{*MR{v-kMhrS5=K5tT=_;TX_ay
zY6x29By|qLV-OA~W=td{5P9Ww*SR?uK}m@b6+c=*HCa6}iwg|^9??Dt>3)l^PJtOE
z*h^iLXR?F5oWznMSB?n5RU-;^**ge<9|`DR33BB}1^Y&hs*_f7QbBbJ6pezcyGgfk
zusY!zwDEOm1P~gJ&ofl;Vo>lno^+7#98i@q^c)<iPCWMiB<+V(35nK>Ist-eLx_u`
z0?CpWARRxM(y6{afRQ=yeyk$5SCN%=@+XOa#k|38*M|3xwPmPxeooD!DW!s~i;>$i
zV>zqw@mZ6EnAm3lq<Q@0J;31Hn<QozF6NcQk=*rRv!^l!XNwxAiyBRB4lBYKSAO^X
z4%TFPoLWxeK28xK0%PJaAQ@F%thmUyh}_yE*4zTH9%EHJ*4JaoBEzk9ZPz=1%mZS*
zw}8{@DS5t-ht|1{XNv~Of*h%U$3ELEkqy|G6fpvm{e%)O-x)07o9LRjn7Jf>O-K^+
z=EkoB2K!7F6F2?ofuj?IHQu90KuG~RWPEl$1k6SOwocx2=S5bxivNZ&j@05ZSdpsn
zDl}Zn7|Z1htJN-+DOa*JbM#!kZmP2Nxv^$S*PWq7o94k{Atz(so%8%PTNnM8`kN>U
zdyr?<+8G3qH0q>2miI;ezJDDBoCkmdlUZu&_<~CEdEMbV1wtJIA{_-d`88td-ut2(
zTZsZePq`L2s?J}R#QIr0(eiBS0007N5*<;(a>ZwR1w@81BZCZS%vjOQ^?1x)rRK^0
zahY#O--d1qh=%&8$}^8i?XjQaoOo>oIkWdUE-chv*RI9@|K}h2?pu9h$<|${&<$wH
zC0pWA1YyumV9P2)wjne#gUVFF9b503ixBnDK}c&YRy&K0Pd4MM9yz!HwMQnKX(U;O
zxczv`n##L}GN-_!^#BtlcE`tnM^llrLWEmXJFigeT8q_ohqhy9@#yP(9ndisD8fb0
z?ll0!IFNx&E#Od#-N<c0VAYC(QFTh*K)%co;TGy%Rci#XHGC8&V=^qj{+hMG#)G1j
zaY2zg$yO)A3`fB}h^j&846k$xxq%0IC;&eq?8{#rLkZz{NL_DTe4*B2UK7x`ad*0?
zFsrK=BQPm15yK%CpCo{sZa597DWxU4`J|Q<IRLBsBn9qb*>Y|O-VM)<Q3MEVNd6;V
zq}xs_R$@&e3QE`Y=oHW*eHDc=9`r-)+g5;{7%MD|FB;~Mmxyv93-Zq7JEdkr1xMOd
zk9(QZ)^c$56AKt^T_khbJ(`aBR0)LwOs>bTweocccqM<2n?rtFW!7S%Kmt)&woG8d
zaN!SPpSbxHt%S+<hfKmS4l4DXWJ26A@{KVDVo9587dN)P{ioK0k<-@N0LoY|7`JT~
zzk&gn*f#KWlE!4fgAncpJwI{<g4t~<c9uh;if_N@6CS6>;I*xX#?Bq7?2Z9uqxWDO
z9JS22+H|;FcUbSbsHisvXG`bKczVk?k}{tXt1>^Yc5RQ|D=dZx6_gvG^b_28)f=<|
z?pMZu;H=~%PTa1IVK}IA%A^2K0{F>z40Y5D`kLP+pq>t~GgXRqQ?89cUAcO;J)^T7
zRyzWrO_e@Be+6f?9t`W1QV-^I>_CnY<ckPKI``!~K4a~@OpNiHhdwsia#mqJtKXUz
z4l^g#kGs|;uKDB7xNp~1QIaKHc$93^Y_>fvS8a?#?JXV!<UJ(o0nv3`va#zisuK#P
z$LV?zH?N``^YrN%KL7l3?`A-hpZ45?>5YLnp0o_;c{4CPm&hPqB2){OJgLLzIC)Y7
zr297&kL8m=PLvx&K7iT|WfzvD>pdW;=6&T8L^ZW5v)wbMG)dj3_`Y60q-s;3)RbI$
zER9>74_*34!6^){?X@~Zl)3K{7){3Qh;^uoSuZheoqjEzV#WY7GGHL+cugI{M@6@6
z#%5>T<^mALVpS1pL>YI?BJxn(eQ}{oy`~Aj9^Hsf#<mpb#*Vw6l6ORXaBTVF;Ss0D
z^43^~_+xOMIs2yJ^HQw-1pPe(r+?p;isfXnoGf&J#$2*DyFOUZX&}-vN6Q)Q;^KGg
z#0pZ}vfoyMgJY=cEY`a&EDW2r$8KkX+qJ|X+DAk#<DE|aA_}hva+YzFumB8!#}Lbq
z2w)4#6f7KfU9`~b{4To$Yu{UICHz1Xeg((~^A;DL0jJK&azbNVjDZZ;K@{Z3mnE6D
zr49GC2~lX<rZzY|ony7yI)K%$I%&+pxOj>(6c(TfL2~$6>B4Efm8n)3c;tRfK>!tD
z6o{Y{#4R`7tskw+#5MN9vr8HkA*RZ^={v>3Euvb8%j*&9tAGkEY{u>x6SBjva4m@s
z7~U1%7ruw0_$|;<1fV#)Qv@Ce;OUirvHWd&i?)?a+FH?YU~?WT49Jxe-<s-N4)z=i
zkmfWk(2t$V6@wh?k-xEBnb`;Tj++D$lW0`IAmLe*B*YM_?F57z8FbPPUW<Z&rXuJ~
zxoxF!lA<+K%qFh|#9?_+@Qpmhjj<HGk`E>1N;4GTO4GnGrY$=Top<xmf#RJ7+SXZ}
zg?MnCMQfvVgMgAkRb|k1lKnTdcqWKvg9~~NtIZX1yw?4WZu$T)Z?pwHNmn8O@4}Nr
zah2=R^Zp=K$BzYdPLJt*in-=FQ%dsKd||lo8oSnSxXIX{7|&3WsT>220ssr}#SZKU
z788oU?gMC@B^$XUeYK1Ks68U`b<SD`MqaKvTyDBVMj#?AW>v8E9COz`WDyj8!}Vp?
z`*_g7yF-PR8ByAZ;9Zwf%X@~*-M9%AlErXL7ISUQOU?12!aKfxY1u#${0U!6`hE|P
zam*Z-@wpGskTprm(wjDV(uiw5BjaoALx~ul=~~r0x8O`NhuhS0bZTQn>P{5hK6N54
z`CmYD0UUD>@+NXT(cQ+<Jw#(`$6!uCxBtjJz~I~{u&T<j-aun)9SgiN8{g~?@_8qB
zF+1H%z(%XukANW4O!dp?`j6O;j*oNTW9-+Au%N_cJ~BM{y8If)wL#XLbZt_%>hH+c
zfsE&0cSGzZG-=^!#^?R$Z|u3|+heD43T(WAOWt>tp%CM7F{``*1SfHF4<)Oa*DkS`
z7y#|H_yj_77zsBb-Y7cWws;+h*IO@Tsr%Uvf-wIQnfe&xg7m7)ue3~rc_g|iXV0=8
z!(fPYb2z2Pj~~3F@&-}RQw^n_L$k)<&-@>M|DLZoOa+`Q;AA0Bxl8s|W$5aCwnFV9
zLl}3-UNpvKtM%aHUBwZ)OS0A}h!T%Q2R{#)SdRb<4ZMI}$quD+`7sh_h{pq{kCvr(
zv4S-c05Gf%RNVQx3Fso0sfR#E7D-q2fmZy&eMlMks9?id@lf|G#UKh?-lfDG4>$^7
zR4a>s5F5$=Kd%iMi8q>oY}XZb^}-n4$1J)oS~Ey8pSJVXa|$r&y+w;y2hSUWu(T<q
zCU{MY#ba#F0HU%w=lUZGd+D`INz1;+T9@P@0XIw>SE`6~%w)=55Fvxy$^KZa<_ssb
zvbs+K4<bhA42ylT_#?EF7Cr~UXn0f!&QgZ_!zq8#u~p?3Llglwm9#08pDDMb>M5W|
zfJ4<7W_7^KU=sIXc&j--UWf()RcP@s;R+My<T)i&ii?lT%^(ntP!O(^P$i15WRTYF
zwig5qZG(gdXypMM<0b{y7)}M=NN)F>Il2<&U`CizW(Y3Gn9URHR78<4`@3%HYBjLT
z@qfi)D|OwKY`8-pb+T{#kti=!1<YnO+FcA+p~p`+ktmD0Jas|OTe$Dvb<VW2sTDw<
zd~nWV;srhSbv4{;_1Ad5lAQBZ^3_YgQ)K55!&De3OIQ+?!#=TFkKXD!dhnUNi&{2D
z6>}Q^7h<tB)?JjfaR88vyw5~yNaN;KI*&5Y3kZF&>uiXd9C()@ESn0;d4=V?MpH%b
zT*m$}ZuJEC^(+O-@;HUjS|x&e6-7{Alu?}oC0fs<?U|fYe2z%s_99q_hRr1p`Uarh
zT7Y7#X3az0^TNl5n@x8~DM%GJIK#%L;%ULvPpqFa8BK5W5Fzkhu}Ig+XrvEA0xrc%
zqIGF(&oOJ`+7KFVB%tGE-dD&ZsaKw8Of3Am-eSI(VZGjlxv|eG4kO=`TgWAIYGnM6
zSzNy<1BqPLoU|4NhUfe`({&bC+YVP7Nh;;88FI4cd{&`WJY35K(G7VhKaS1MAy_(`
zd%65FD$`_?^WP{xWHN)gSubsjxMqx=ll27Z{p8k-z<7Z1%BlNh%!C>w=dw**E%U2y
z85>&8(q6}V9A>L0IGr+V4tS+OC%X~X?0n7Dv1DgHd`6VkyzHZ7pwL%-3|NogSvCHS
z2|+eR`z$SEHf)J&p4Ln5)nKF5^_-|yCI$`qQJ*K|8&AR$IPenb{KO{G3naO0Ue&;#
z{`z;{sI5ZL1)MD4<cCJgF_3oH!S$x&dGK&y9NHyY1iyvP&?Ro!5+Cv*WbBe;GwW@S
zwE|j$%gix}Vc5q<G$tq*&ehrhtuECJA0^lr@;mpEM8hvB+8rslg>@2B$qwSBrPcEc
z-?H+-j0-4$pt$J*C@|jmosQunSXYVwB8xE8LgvcwZjr!IfTJjBI>Am;`@c<vnO{U>
zoUG%`;)Cm>R{$P=bc&ZRuEOG^cY;X{*eO1pZ)?faDQ(|&7KfGw5qMv(S}+*PS%oiu
zauRkW$E;!YeZ#0?%<1AhX7LhSmaN6ay2r)3bwTQV*^9>Qw2~1pCIeQiDoaVB9O~x(
zs(<op@pwcim2#oJF_e|c7K1iVr7i$b7z=G=#a%14ofBbI18@=S%;t%_K?^NoH|Tp~
zF`<$<XqqUWh=MH<h3llQ1wlL)f)RJ7okdIvf`zHC`+xxAn81e!sH-Y~Cvh%#;mWtS
zRzmW=9|ENQT-aR)m|flSFa{B5kAf;O#iTPCFV%{pEGZFK@-Bsx0zsnGJJ7>~zK~*#
zF$1Mllpqm$Wgh6A{{WO&2Yw~-Ve{{t;2Ux_`L1l&U0b2WxSbA!IyrF`;e#oX3H}-c
z5qENi8#B`UG6#FhSZ#YSGb#hj>dN;hsq$k#6XLV-QkI(tN!@brF8!6a(b&0>_vrKf
zp8#@mI$jA8NYizQW1Ye}Cw~*ARVkVBTU&h_05It}rx?fZ0-<RrZ8yz3WFGfQ*_4~a
z@=rEWv?b?WW!aw-i^UkP(FRvvX$z4Vf`wiHb~N9lWF7@&oYHRzmgs6@QG0pFw-}$0
zLBOi5veewC1Si&f9$3?^*!wKwTsRM?SYa}+5jG@qt3z$otrc}`g`SVUDS0jSiyA}H
zUMf>}T;HNxCLt`OY0`B@^UTOYg2kwhmE0&xx={;IU~uh_6)Aw=?k|9e$gy&~uRr(k
zwKqwV)^Yhc`F3D%jwrQ|+jsxyrokRr(OSmE+QrHhel7JrThw@T+Te6iA2a|N^IX^q
zlFDyP$fl~Cv7}`I7zJQ^4r_(1NqYT|c?(ROQ!>QhTrRihvd8+{|1)K2DNj0<PSIl2
z2`yeCi_h&Fx<Nl-M&BdEZ-stN))(1q^`*LXTZPdWd6DKN#>6oezDaJnCgtmj=JPIG
zMwDGNKX9+3&`!F22u?1PZw|5p^xW7#7e?!<)}18mRkmj9`3Q>hZYr~U{(E3qI&r?P
z2!G-SzH;q0Prj*ulLef7pQ*PTGC&JJx7zmJT}KIMesUTbx@6D23AqF`*Dg_Si>!57
zuGekvV?K&Yk|b@}A1quJzRH;3(pQ;i89;<!MRbUqWs7p5U<(F?SWVW0UA^Be+Xp%(
zJ6B$bgkEU;!ezq+anGbgz?ov8n({>>T^!{1`1ccO%SN$o6w5~ELeSKHhrV{g@gdR{
zV0j?>pjdfDKnK2;g~8R!3A<NUo2X!jaG(^meKD5gi$%~k#sp<cgY+Qa#pMpx0!>AD
z@@O8d9712YN(BK_m7OY*O3}=I>-&@6{$VG$c6fEQ3xIoN2p^r!@X=Z0<0j_H<*;AJ
z+yH};lrP%A=)yeZ_LK{-0;uY&$@*HXlm81BC$;aR#ju{=US@QHNfqZZ8S>TwQK*&2
zf`TsdPzlYfq+&PKC|nOsmk6w?9YHQ`B!*xF^l#O{x;J#2=V0^{<%(qjm?T1DCXkCD
zEP|v6qu^9{Px?;-cVd|lYcH0g@PH*-g5!v3V?~8H)&Ue10YVhEwc<{0SIC1A;jM_k
zock@7M4|1HI#PI!ZQ57*USYF5q8Wru5BY{L$D;LIw4C$fk|JQE-NpsnGipGj)-H^N
zPaL7$;za3{2Gx9rC|XE|FH~cnnep;+hh1k;RfNYU&9#*R*G8)SScTFEeWI^P++>+!
z{yrdVibaJpPBa}JK;GF~pz~{~?i<bP!uLy=dnj2)1$a|!nS68lPda8M$_8RzX+SHz
zPeKfs5Tla9gDG$+a)6;Y2X(wf&7<YzVVx9(Q|7o4%YMq<;m$>Vk|}%M;#xLbgK{kG
zFY7hSnjS&IWUNYi`?d~%Y^}pfn8-(!Jd>_FZma~p>E{mn%@S}LxAG9BZqmv{+K;(p
zynqA0t%y)J1~U%~&T501ap!#XlbF9d3G3iPIwXJ#;`hl3lPTYMvZT8r8B=Mpu_#Mv
zIV#E*`TCOT6yj3fc)9S&M<=*=y+V>{J5<2`BL!ys9zd{?1CEqkghxFv$^lZq#hTyl
zI&51N(gDD{sc^EWak8jGXs7D}q=R*pj++xVrF|O*;Wt$O?U6et0VL?n_82Omx3SN2
z3sKpy$Kd(2u6k`suBm$g?YW}v%Vh`6e^s07y5yAf9h7_*3r!FGwFtz;wZy1775T99
zR*7;=jA;rlpUFB5=#9Mz`A91;N05v`*+4cVx>w5MGyoZXtLOGvPw(3#&>P^lA@*y`
zr=ON=-M69wPQD*B=90bI_Sm-lXdrV!j7cIc*|S;#gI6Iw<m?(574MQdYq8lnYtE2t
zri}r^C2`9r1trD@->wvcqqyTEF0T8C2oZGjlw{fzt2>K>prZyHMW5Qo2XjG17DLPW
zSc`_q8>1UcVA4|F_)9}@WC0y(gIVQbWHtU+tQ(sH){VJ9KMFREoFD7c;cjgNAGB~H
zi{WfmW3_IRvh?CP5b|j%u>15vWi8{?szq;I0*S{b%^SBE?yba{=>te37R`&17-X7q
z05!KR)xW3izpv-v`*hpN{I}TdIv@MYJs>?R*4hidVIsg4ivV?u(2KD#Ha-r45g<Yd
zpJUfFAQJ>&PRD;x+%qLq-YYyC6afn|O2~Ds=bt?QypuYX4p84VY!i1yE6TBM>9;2D
zl6qx*EpOMtVdPH+L~+9<=%&7S0T@EN2c^{WR`SAOXg3c;`UcGFD~g8HH`YBB+=W+@
zAs7%0ap0x#J0rj&55@P4>)l#WlD|<2iv2_Y>e>uKjpPadsRI%AgQ}4!H<FFl7{cki
zb{j~H1Ym;tzEEB^*Fn(|LE0|=Rsk)NIRxn=O6K1bS!=Ov8Jo7luC+l4l*Tn`t<Dv^
z(3T7zvoGaU0UT%YplVb)V_#A_w^&rS$ZPhIw(d{b2662Xa7inC$$UgE2k4D~>|6Ca
zRG-9er!Z7CFzLn!E6~E%NewkU&SYXqVk+l-p{+AR6NR}Tlqio%VMqA>w2XX78}hUG
z9m##!+$M@H)H1GR93opUB7chYlsO{6smMe#FEdx<_`UPW@Ns565ZQSP&3)^$WDIXq
zxjF`L4rok`i&1MIAXtP47waxsK6cgtrILX*0ZN5Gg<~~-jf4bAllbX`ZaER%o#mwF
z#Z#7$`El|*{P$3t)5*f27Xv-E)n5T_#$=1B&E1@IqR~7oj~IvCmtn{N*iq*McsE&F
zrgI~`pGK~Y0Z71jyjI<IR*z?8sXVyGI_$yloCezkXxDre81mj+R?vMb20oHpDy(s8
zQ#^d9d?UvVI?FL!iRN4maEl>HqJAOcG9_J4;bBnqjNcWXV6_1_X1p>SAV{Z1ehzVM
z(Z?wdB`=?_llMX!0mccn$^1+=uKXFr^YuBIqIv`VI;6*HTpPxL%zfj!t_;5CyPsUY
z0=g~*oGjqvyF|>XOSZUUueaSGqoNG#+$FoI4Nm4Y7LpxXEqM32bEe6;TzB53JO%=e
z;N!%gOq7N+>!04ycS%1Ee~-i;a{`+K65IlY5N9*QZ_AW^w{R-(!+Iq}aq1+I2kD)g
zcy($QF<Bjy0_KF{l;Hyye5+U>Xm_eQ2)Z%$P$MAp2-p}F-vc1ySOSZ@oGAf1es{bt
z$cL_(66UWLfy6=#sjv&UF;FYPzDWY&BLP72MSScx*a;!udbY;4?NL{R?|QOCZOqZn
z>+!2CB948&?Jcf0Zr;oFx*{xRHD)!1Z#tyxKO|z7Oq1TVek=wL!MiuQew0kwQ*<2w
zmHdIef2@v!b4p;%F2J(&Zon~AhA4hx2_a-05M0b!t>{%I#!J+7+sEI8KLI}GVekHm
zHMdwHi)9nDueZ<an2*;`Kc&2pM+^qFkT%W$2WeksnS1fQ$#@U{49f-5aUJH8`W;1X
z)t9PY6Yvq5pCAa&1`4DJ3X~7#p#*e!uk|K^*2i1byqpN*u?xreydMN|N$OhH75c6h
zQ9ksId^C?0mo#KtCxlM}ag%PStm{t8=0r9}4uYh}ln6D~v|A}N9KdX4o#2@C!E(}m
zM#(hVVl9a^N^aiN!5Wc9$4gK|`Q}ztnpayJV?*!S-mQs<8x&6YiR)In;TX%)@<C!f
zr`AWeUMgM|#x7!8=REJ&Z&Ga}b9La2p~m69rW3xAD2@}nHd^hBj4NM`k@2LyTVE&0
zxbQL<=RmmshLQFl#FH^5uL9n@ycyeJXfc(3`|ulr>$_MLs*pDln&McipP*2ybGhuM
zlZ{E(reoxTs!HW1ElbuWj;T@E4(a&Kfl~%>e!j%ZSF7=Rrk+>tduVhtNQ&5YVvMoc
z^)Bg|pWmi3Sk9cjHmi-E_KsNQKf?Hylj2=<pKU07A+F!4Or-l!1AJkv&z{rkseE5x
z0f80dKvX;j)wWtLiPy%@0Wn032GxVkVH`*5eJuA*^i&&G;|Rog1A%#MoJBej`ra7~
zIiniQSJ~@n60X7<gH(>UbmHA8$=57kdmClAF~HT&Yc02N#;2uerK85%Je3KO_F_Q0
zw^JB)smuEq#eP%ed!a4xdoMEuFQi=fkc!HLa1%g%La13%cl~~OSmZOkmdG>50i(I+
zmkW{ef4OBsocdNz7b<j*6tX9_&N^zNU9v+E@|dN~Sq?bmebG1pV!5asXwjJ9mVF<A
zuQgfgc4F5%8!Wp*yhoh@GN)|8ltrN;3QXQ9B$6d^{5!$|34|SdhId7gHVa7#Qe|We
zaEwZ&*PJqj9fS}gLK=m#oFHK1;+s)Wh~XDN;}r`dOf~&Jv22u#%L2Y7JNG^wlTH*P
zbs5B-vW(TH!^LVEgw$;VU?5;7iWT%V43v*N{zuG?J9KHusWRj(mz0nm8Zxdo=O+ys
zvOyWmh4!8qw(Um+#!#<h*DO}3w~X(6b_Hg}$-Ktz`@$(^N4Tut1+BLoo?Yy)-t{i<
zdE<oEC+9PqF6xQ75QPsdFala|Nq-LksUe_x?DKMe{@Z0Ob&C78vp&YBt0@B^amCEX
zCar5Xo<+$Vd;i$C%d`cOgF7YG^J*ki#uVvzV@cwc%qk)g+;d@GzRRCaUGD_kQG5)J
zAAu?GIC$k+1Ulu&<CAzq<sbPqk^tc;2<d8LBGAdHP)`1T4w{7U5cjO(-D=#55E{l<
zE;M2U=x`5>TXjU?I9F1Vb`S09jyv=NzBkU<RWrn9OI+58;4FPZ{bGFtT!Q+(rm3+r
zs!a8YptNcQM2!)dBEtW6Er+qzR6YPH%eGo{*@BY!ojwxhlvOVeb5Q1b`q{qCtZEWb
zaMZh!Z&7QAB3UPlaedOkt>a1mw%Ho34%}Mcen`6}7C}ir<iMA|57MqF;1!an_3p2@
zwaX_|M3_|(Bn{ofI&L9A;({0eDN2+i=MCaRshGI=CSyJHkDqfQBPN@y@;)Fcvua$6
z+|tXO%f^)^4sAOI8c4szP9T4RvTGWM%<qxD*S*TBLV-`P+Z0Mc5>Cc&J|^T(u<!|S
z+bHO~)>?GzEsa>oj57Wa-Np4w3}Vb!0WQQM&05Be8LfIYwp~8|Q^grx7PS~|@P?SP
zs-IHjTz&^o0{{SA;z>k7RP)XVl7{t1#W<}i6Jm}UxN*?+KyQ1P&h7<AiGVt^<50$u
zd!9Z$!?K##<U2rmgBuvira_L+&S{xs%Azs3mX)y&;7i+n`lFbEUFVE5^kyu<W&54a
zsvui#eA3QqlOMn`pVHMLtQx-UBEL%8LxK57$C;R7#6=u_kwa3J;8}6~M$pkTj~s8P
z_$h8)a9l@O#-5j7)TikjjqZ6G%rBV(G9Q=`GflGq`O&IaOGh%NY9D^0@?+Y<$?6wZ
zR)rjJm0?0iE++9{D<d18jP=&ya?^$O->0XGwer5}VzeWkVPXALb1=w4CbkJMJva8b
z)XO=Et0|k{dZV1PF_4~1$HZ{Vq%xNmDZF8jmN8{S4M$ewqr%@goJ*ob`!OUu7Lafj
z{+td&!?A4kW8$_{z{x^yopP7#^|lKx*<Da{BM3=|F4?oXLS4Ir7t5K!LV(Dox>iDt
zYt`3U?`qkHOxIg)A<%l^d=LbCWZ@?wm<p&6gRWP~tvClCg%Jkx{N4o;62V)P@;r0(
z7~nW2RA_NJE?iJ9YZMr!7Et1|JYe_^Sd9uXGO$Ym-iHNCCyJ>|aHE#Y=Wa(F36Q7(
zMduRIp}%Se*W%)k30c|q<if6QqbO942hGpH#{r4LWuihb02Mrk*YaIZw6ct%BgKQN
z7OPczBVl*EOc8n*uU8$~-l8&uC+9Q#?(?-$U{j@b%H3sBm>(^NakcI7@^Tl1Qz91x
z{mJ<Z%lZB#EU}cyHL^EEPN8ub%^kmRybf>zljB`3bii_6<7DPC(#m*0rhNAo*_`*s
zBfp^qD*25lWDG1?y^y-=8Lh;%^+}YvKHe)e5dI8GV-89P4Y7>L-#7YxQINerl*Vw&
zEFZJ7a>c??9BWk&)J>>Q5VR;N1nz`>hcvY3shKqCF89eiX4L_l&2cSo2E7S!-0JZg
z6nDjc(!YSX3&}hRJ!7M=8H8<FH`F@844>FUj~OURuEhBbB=6L&OqyQ~!5g*Ci6X<w
z8jBh5n|cx83=hYiRr8&t@0dgQMgp+w+;_Qn(mIQ$x=FOUba~75Syg9WbF0=^PB*JS
z8c;&qfb)e)O9uG>ah-71YQ9g62?H>UpOE-Rl$7*(_ypCF9Nz5}6y;JaW0Ta~?pYa2
zYApM?m5-5}*Y`xA9$;8#s}8ACvJn8Cbbvzq+$xkw06VwgcGqJa<{HO2$w+%vb#HX<
zMW};C3b+#yYSQf_z;G7t%f#5sB<h_Xd!o#T`5ySGY+9&uis!}f7M$KEd?K)$2($+N
zsmA-DKY(N|hW?k^nf=DKRp$^u4<;U#$t0Ss;!ANpi?yu(u<%?c1L^&uFw0z!I=F8o
zUnYm-XOKP`nVX`7S0V76N}fS}yjVhSb6`30D1A<<sg--e#5vWz`8g@a7{c$o++w}j
zx!(umrGeFGexJN6I~OyaPu!RF!F4IO^qd4qt;N;0$Hl6})uw|a&oHLKtafhOv&Oi-
zSL?jn{7B1|4UPPq@PH9EeQ%VkwH)UbQH<d)V@|vJ=OL$bn1x)9_Ai2P79ic&(rc6E
z;gI>H)_mbLv7b12>_{S~J~G4bT;Lfb^U}$+A@-_z2N2i$V3DaO%)vHA;Q!9>$m_@n
z-;LMwxmvtz4(S{et@m>aU%@@^0z)`7KgPiR>)w;Zvj>7_keq|+7pVsTg(vv=#yY`j
z8pAZMF&Jz<#<4dH-EtEu;AEjUM$8;D6SfxXU5~3x8+OhFh|J@RNF2Gkaxo#7^UAwq
zR|#l!S7fcTdW>$@J+_^5CExk%iV3KfE5rU+XULVnwmN&GSO^JY(J^jzoo6y$!3i18
z{5zbY6XTAsQaUB$rDjC3;351Kp~<aii6SqGhzEyckr2k7W-9adQ7lhf=tH8I;708N
zq=!tCm3M0djk`!&2U@SU{U9#mF-$tSrUZIvi?J9QQ`sED*ziJg6zEbxRujw1)WQVc
zp9q`4H)G<#?FsQ4;QQlbQNy-fV)3fSLZbX2RRp4d;gtwP;pJl8q3xYJ*~z^2yQ$rc
z>VJrsIb@sHt|JRS{{`sFh3&myCot&SQ6(S~3a=~BOWjvn7j9y`bFuAmnm6uSPUdw0
zCvQS=?j>h$RF<_Ith?Jbwf4?8TpVw%FmDjua+=h7`PdC2nWt@ML$*`NWZQNYyRHW@
zd?*5dtlOa{0xS`XW%TSE6q&v7uKFyz2i^)0(VBvw1z~5k2a3D)39I-2h{&$p%ta9h
z0=gY40FL4l93D({4AKI<iDTA{Z_ap91Q<i224+}G{=5zM#P&v7hrAxb*MKk=kj(?#
zzS5R?pN2Zx-U-V{*DB%BQj-Y4q@2;czDt!cRqcH2hb1l(l7o^3z*dBA%}A3WDeypj
z7bPX6u_Kdj$SbWrB=TzAmvQ|M{bL9Omk`FeyvDvbL}AT=w`?HgZZGQqyD>xAx(Km^
z2$ko&sYCl)PTL{!#=I|NvlK~rtOtH*F7{(goy*1)4Gu7VJ-kQ2!R!hP577ONFz#~z
zQZ`n?`k_4w^s^+%*TfposPFKyl#&+&15ZK1D366u7&-x-9mYq?KThhc*C^&_SuUWD
zPUzw#n;;)XfI+nr5d!!kAI<4F8S15)v!y)9@kfr|jFfNWyeSzoS=)(l7sp7PH5zob
zetr=2{ggfn#n;pe{pTYXa8tA-^LHdO$TyDzLKW-MR&1|U9lEYpZ;|Sd`o`fosiV|O
zo(<>p_o?qp^?;Nw>2<|@s{+E91HY1M$oO95iYjxwAHR~cQ|ouNadF%iKEWunOJF*f
z_e7|x*v?awY|5zi&aK76hC8O)GI@XgV`PoW!K7nJ)(~*&sdbl>$o1@itIlsOw;hK#
zu<mBjt<*Y7P;nw{(4+JkXN(WM<2R9_fku>N054Y$HgaNFxeUMeyVzMK-dDSg$^BD0
z#*|)hDEtJGc&d$rKu~4fgsgS4`*zo3)492|*>&z*=L`*^i+q$FH68$r$zpzG)1EAb
z!lv6EgVv*|fRlypg%X$SU5`tzs7u!7+-277emLc}sl3bP!YS?ZrV5I$x#1*D>egAT
zcOBN=`q5?aw$8n>&yvkd0FOY*kOJ@+EC3y|5zw*g9iy-eY&(}}I|feI3SxAl7ON3a
z*dplY#cKB>GA>Hiittwye<8>0IAMYUcIjO_DOV>AiZKkmbz@VZF@&a$yI48cs9mJj
zyB?RDF1S_$d)%Zk1v-ja0j0F3i-D<P;OdaUQDoR4JVdtuC3mN7$V#yip**}j)^ni6
zK^LNa`a%pv03`st>gA;G$1tXc3vFOM*rIoi8O`e*+O|s+ji5OCk|n%mTtwqS7!)U|
z4+B@5&H+RqoSZlpYMH+Y=8}A`2#PdRV07CsE6Wn+?z~lC7!d+bAo4Cg=o6(vx0yVn
zi6-tFC?wg#lpUn+pdg@#`-^~S0sKOoV`3Q~F>WPh<j(V*F`-2ZImdvo$B-z!0eDm(
z<QRymzc&JpDF}H?fO?6YHwHe6@-6ifFs-*1eIH{F=?w<0a0P`(<|&X^DGZYo4BKl6
zNEirQ?8a*rB7<WrvtyMJV|+|C*|<?w<1Ul6tD6Nm<-x~w(ymo9*5us;cHaa7ObRKD
z0jrV?nS7x6upy(Y8?-W^*FVc{<4D#?Np#WKxVe_Q){lY?NxdTf%rS_uAuYT@_;q+(
zJsi&G->=Aatj=n+dgPrW=QItT$@z+2RMatN&xjkdG3>Iu+aBnI7idPC)@#s)>UjUm
zRD2(CPPo4mW>(k;_3S~c&XRS*zfeHX!E&J5A%NX!O%PUgsRy$ANZ%hR83$lxN$SBO
z4a}?O1HZ`DehGooiR>`)4Z7aCLi^X3?1bJB6w7Rpe|*If5JmVsqFZBSVyG8U7MUqn
z!bo4lh28VUngEVj(X~~(&VH@O=`noHdR}cANeG=@@k|Dsyu)rjC$o@a1Em1kFvc5@
zjxjAqyWbT0Spce}b9Aq>tlEAp8Ifh=T93RPQp+({oC5yCwQL+RU`!VPJDGKH^GuDe
ztor%5ls1+2NmxzJ2uZj}`W;&G8IJSxAo7fu#6#c0h#pRElYqi~0{C|pus+$R$fp79
zF(T(gS6m4>kYs8n3Rcxg7I$O9xq%#&$yQU=bJvxvLKAbk?j`z*zRpU=L7ewv*YZT9
z$s7xt7QVf0bSEB$x=~>nM*3H*KN;y(m0Tloa)X4|5`&w>Iv4xHR1M@@)z+a7(1CW;
z@5shnz5GN98&HW5p~iV4CwQHh(qwd;wT(8|7?T2WFkIg?c`fGyQ`a;vQP=V@6vDJg
zAG5c1v^peP${WM+U@pfwDCa5ZM^g9s->N_S*8ZJ@`YPaLp<9u5$=>XGTx~iZ7qSnE
zlm;OQ5-*6b@Nq@Na%iD|$eU*Vwbo^h7K<gxa=q=GwWeg}0}v)@4m=8QC5x8Sx2|Ld
z-T0kQi9ch5;I-`-o3?kttuVwOaXO_l0pR4l8S_j8enJq~d`W=cF#-T$6*D3Lb?G9m
z0Y@Tj*(ge~1p4-ZsRvrcT{#Gup7Dvmxm&l1+q6|}c+i?r1TrNc<bPejag(-(CmB^*
zXpg^z=__ECqotF4S5CQr<=Q@5NCpf&E}S4Ziz)wpow-xM76yVfiMD=CfM}%c72cgJ
zYq}m$;Ho;;Kl}8Ecx}&3o<s;DxWqHN*EY7d7V^|@*DhMvjORq$P6ZbZuEL^B#q5mY
z4&vL{$F2#Bu8+aPzRb{0dU5x2FbD!+!H)B8>|DH8TffE~Mw$0XGg4F@HQ3enz*=0>
z^}l0EKr+VSkJ0fN+S|_?)gKa5O$#lKAG7L*w7-nsY?#%R|7$S!$HtgseuCUal*FQu
zgk)Xk04ohfcD`>#nCd*=?89Hp137-S@U*M}LT339@Ub%FlRgdOSyq(^JG+`6>Fljt
z&sgu;VR()SBGSpXqIG<<l6T4ym}3T84>E3B=jzr^cn|EOx*`DL%4CxGX<BK}*P<nr
z8`EuPvFoF?tRyn&dY8N?x8Bm$RtdO*I9CYKEjRM4+|nRg4LEn*n50X_qqgd9<~4R3
zXQ{2<1*CH@tmB9vm9@@Nz*-xC*%;H4gX^hYi^C^ED?vyn;Yc@)0;;U=v8k?QAVj6?
z_uY6s8dOJ4?5X?M@-X)KP_F-DFBU!@;z{T0hI(nL5b3ocZp2#EuX^3o&x75&B0yuZ
z4IQUKvFrwpt*c6bqpVQ|&Bjpf&J^Uncv&fwI!@O>VNQw+-;}fm0hwoYx;Z#PvWBD^
zxN^)OEAk6K=m8aSMz0ORzeFAt*+uFQ;*fDR2UK4ZoHcNm_lCk|Np#V4?-F1%v<Jtw
zJ4A_Pv+%1heuVD>Vg;7Wf9ZR%@b+bh%<le1%fK{NA&>Uw;R*}y0g%L|jYmf=33;*O
zC-Xt1Nin;8NDX8TAn*X;lY#fDaUgu(Sz9@y4cl{g6&V_gn*e62IiSnZU}xYdikC#$
zCS7-8os?`UbyH(Lh9B{uC`fsb#j-}dYG~v>)%<aNazQS_*t8tO*C?4yc-=VA2bhXn
zj2gK6V-|W343mq03U4$+K#c!NaY)Dug8EHPj+#|Igqk-_iT#`zjc}X;W4fMDT(8sf
zdY&U3`@?W5UF+kubnfM4=_({VQ@1N2uaeRuIH?cx`S4uq<uD)gJ6Qn3F~B-q(~>ro
zXOeap)^(E9_)ByIy)LSoNKa^_$N9P-Yq*{RE;PgKsDP7&jw0=n?Gn>;xY{`IPh7GS
zr3KL?+qqs>I9XIUo!7x~=va#zO=70J-uBqEKFf88`Dl|^8Ja;R$HI(AXYr0Z#s-l&
zgdJbY*!I!N(Z!T<AWaZt$o~!Ri|<Y5x)(43gbAO5ChksIE8L=pprE_hM)1jF+)cI5
z;;TW&N_|%d3|x_K8%lQJy53o<t#>>C7IQE)C<y8|fK2#J|JD*bD}HhuTNpAqX^Wtg
z*i5-lLckP>g{AIy@A&ECB(WDt)b1JLI1Vn7mQw{oFCun0wzR;mmal~3LJ<Y7xHd##
z#`u4NFoCGhOQ2^5wn%>iXD4%9uC^hGMeH+GNBvC$fI;f-5=SsB47=U1s#5K}N4^E3
z#p!sO-uN!ZJK}rAlGm^so2%`x>|98evswtu-JMAtgDA$X3uDe(0?Fbl03T~hIqThm
zWB*hhJQK@enRih#5uT$nqbs0PoeOO$^9_-g0Yf27^O#Y=W}<II*dLp#M1=JYaOpNw
ze}!@ZNxC2cG&2KC$@r0a4uvS!Fhe0H6^@MJdoYr5*lnOxwQ(CLG6#IdSFxsW?<OCI
z)?(Wt#HN&FJyMf_vgHqCE(W*GkSHO7e$iSSV4q}6K*sg1k5-P?033y69O)RuwOC!M
zYm%+mt<i2Bl<*_#T_3V*YU|6++QhQTcW^5FPW%piseq1PaamDty*Fe+f-^U_)P{^~
z&OnV{32TxylW@=;gsu~~K=Dm|uYXv|h6Q@K4OE$fx$-H>tL}FJPmPaNSNSn$C|Yqi
zeiPSIz<mQKTC>~UB@*d6P81Q}d`bN^4@P!;Xy_aoSv>h8yYGl0nwO=2YaK6Sfo67=
zW?4Q94L<I#RQ!`XlD{+IWBI0RdcTfAnvVfyAJ<boKn$qh+x~r?=LLCAcp;5$I6~?Z
zm<wg+GktJGZVkecZklAxLjWI;yi1kI<Ttj58<<Iw4_UgA%COSbn(}#=Y*tF0WNr!g
z8Dt*<D0OQN-{ad{)Px`hY2Zk&A?m#%*O6L^1!$761lAgN52BS3`wzAl0^rg=L<p8z
z6)2grsx_f`L@xg_5ex&SuF!Wr35c(#$iA8<knabU16`pJIymPko$m)`;Q(MtuSGd?
z<TatMdzOE6z2sx}Nh|Si;&bDj`))uo)3b*-J)Oyq5P8M-rEG*JJlq$Pv}GtZexI%<
zO@5!+JXW_vZxD*%0up``ja7)8KFh}EHmFP(TO^fJI#&}CixQg3#sAcs1hMk^1G9|i
za_sL(4KT7frF6>(^82|K<c{%ki5!gV-oe_LuDv%Vky+GG(Z(ZbJ8+oGd0mkF9$Qnr
zlrvIc4Ve(ZxyX}_yNS3-UK=#Qtlrt7TD2+Ld7~nU=c?N^)H`D}Q#yklbBUgKLn`28
zp#h0C$F}XU+H|<uc35wnk~5Zt)$Mi~G&ASscQUVWI<K&p*C8h4vDurfbuQ2Aw#R1M
z`FgmRW4q2-;=~N7;{u$>ZvxoV9=tKeNthyhiE`F6qig*xmN%zx-xmW8+x#7B61#;)
zbL>PK1mJellbt^k7Y?FyN6vVL)A)>L+RY}}Y4*=m<aXaAaZsz=?ReK8=O(QfC?R!)
zFn)0)FKAUJTTtaW%Fbphv<RqEuB)!O6r-2E1;IeTH1hr7f#FOU3_zR*B6K$-3y0jR
z-j%$6VtfX1S_{On0pboN<^AhHtjvnbcyQcQ&IKimSL0lnjfs|5lI7G;6i|kJ06cwq
zj?X{8I7-o!Z_ekCWyWW(Hh6j20suaJJj2PNi2;_Gvo?<a<KP^k1*sgjKIZJMvrfRO
z7{)|5S3m&_6N~$Gg$?;eRZzP6`V#`4=(t=tX@FP~J~1<PJ%FA;ZFG+o{*a7yin^|x
z6U8ang_M{1ev*1|aP9HmVt_iNW{lFT8!LYN2;fo^DqlD4HYB`VHh6S=GjYuV5ZXhJ
zFE>xet*G*08ow8S2d}h6k66uza18!_aVg$*0E-2k;%)kPPzQCCgVh>{k~x*n>w#rG
zE6knpcf>kNcgQuJK~g8ukh!0@QvyC#7o%epi<h-4k65kxzd+0=jfDM1LEbA^dguqh
z&UhX#Ym0yiVr2nQh&aTLWItzu+jl2Iu0?dpVt`CCM$&aNZ@YAzFa#{-HMZa+1Ev$I
zqvfuwY4Xv`(cMYDD=2*?_K|*{^c^7U0i$DpJK;rE3G&{8%r|Uk2Ovp2r@u>s^3pm0
z6v(2i<ib613`ruLKzbfBf-K?2x_eeE-^mY1Ckv!}B;}8)Yeu?gaLOYogSj`sprZ^W
zt#D1s9w2>k#F~=__YNr;ikTP}BsagK<);wjK+8^1CKPp0@f!6a8G~RoR^$~~y^TlM
z(xg`ey<w~06=l;1o~9eDPL|4LLD!8GJ|c#-;85q#6wuaXx~;;%RX`f6WKq7%6loYq
z;xk-l2ISj8%LoZgtOrwNhUIhgTKrbIZvc`eZ6R5Recf!%kDVS<v0GD#)P`xI52SsZ
zgRo<pe0q)Zh*}tfaRjT%sIO$-Kyp^BN<$WS;l1oE>s#@72xCU%S`$2o!dsMl&B=vS
zp5w_5O-c7H1Jeef>ZHw{kxa+>B&&yxm7|ZQ33(x0p1PnYm%WBJq%RoqYc-aDbWDYM
zQ2IO#kLA8NCvpP;cXN<0)Vsr6@nhTQbBO#+WD>W2i${iRhyr5Fpz|V(0cNh<+=hYm
zF3%EbEyxsJ=ItyGJXr$nAw1M~gw~rv8xc}wE@Mj0gOfhgYd;{ma@3cdcZmn24Z?4^
zM;p?Jez5gAmc&>OLt|`-R&wAzBcp+i4?TzE`?JA!Ln`3p2TbCUz1cZe?5mA;g>J2n
z^_4E`1m}`1@y3?(8mIFb3!f!>-bfbK>4Di<i_O+qU#?qcdAaj3<|GbT;sT6x@(WW4
z7E9jJk+SHlj2Jhl?fM`nF-HMXgN&ls0P&t<=9goBN_Zd>tQk{565i6qBp_oF7sWUb
zj)<Z~qmAFc>o~SU0D<)Ju)h+Q0$CJ*z;N;p72ziTcFp7y<`otm$B?4n>+42xOv<vB
z)Ba>>e|a`#=(>-je>4~|E`FwU2jT)1+rk|f|8efyO>{pa*^Lr#P>!R;q6QjsYbFgq
z9%JeGwnz)Q(kh?5+Te2Cp{@wu^<;_1r?XqXhncb3_IQ4=#T9j!&m2T{wrud^Y=-5$
zO4>&Q)iyhpAtH&QWd3Rw7$<b3*EzrL1?&)W(Yq*v7!{(si~t)lXSH=n@>dBRQP4&z
zdGFEKWxU_U3KED3Q+gsmk`{$I7I)YaW!0DEcHZ3t(Sl2OpXVC}N_Y{_oWyF$S@BlJ
z&4;ET)F#HKg>edZ1ho(aLCY#gw~k#Kd5QxJU4?_|FN7bsZ<l$UV>$9uC-rcknpYUd
zgtv)q3&4>Qgd?~dugTqAPZ(X(RNo7K8-Jf1@c8-gjas4Ab#gb8@4pzo$+v^IsP5Dl
zrtI%nTaK-j!e3)M*f4HL<`UBI2Vt`&0JsPi|EDK&ym$q4eVA#`%_M695P{!aYq8pP
zFoy8S`5bfaZe$rgMywA(&`Zor2h?=}`U=1BF9_3E%}2ckrJ$Q{2U$0z{gbwm^*F9g
z1I10wD#a(ZZ9ErB8&x1=KB@Sv0+#stCQ6?G<rG14<L9gcgDgTNWg-%(k7s9Drb6Cm
z7eyDRRlPhs6%QiFs@p1##L(WlKQcC}LA5bnrr+x^v_12kr!MTFv3vJFKbTYOc*)>C
z)i?wdr*P`6tnVLtVQk%8M$$)dO!8=(CcH~u6W*hK%Xl3Y<Hrxnu$owJ_jPJg+Q@fj
z6s~c0W8j6J?<Bl2les6>nz56iuXua|RCPc+Gw~robmO#e)k}!dzpj7woAQhDjMGbU
zFk7nV0HWx9CdCBVI#y;dekiLzs0S+<&^1&zmN@3(A{%uBZF~TAzj{{5Vo_$8rhS*E
z#uM$kcz}|jz{#KM(ZoX(`a!Q}`2z$BcGJn}>`>OP?0gu1aUkYvmM$(|$HwoA>!Ox}
z7?J<!`_pwm#>BWBoy%Kcyk%1`uFa8|5n_DWfE~c`Y+?dcsbRvftw@25NWnl~7o9m<
zVvV~E>EZkczty)(+lm1Mss2gi#9;>~_yIU&F(f=fpcj9y(Vho4qykQU03<Hi0z$5~
z&LVQt#yD3wgO-?GP3<ydpUi8VEL@iCc~d2^t2FI8i_NZeNh@~V?YfPL7bK?KB=G20
zJjqBJCXdoE<^Ha>u)WMaQC8jTaS8<|jOh>s!7F19Iy0jHjev7AG{(9386Sr-W>NNa
z_Dr8SWspG`=5EqWI(~4hS7dyd*iPv=Z2_dOi}g!nmh$Z}22<`L5G<!u{TTo(hZvd(
zNT_8~rF0|wJ!~nFe`gem)%Q_k_Q9%0fI*7xnAPYx9gi*jy)S9TL#G7Xy&*k&y~VTF
z&X@X&AKxCBWOkXppI>aTk(i4_I6rZq<YHEhKBwJk%%r3@{_MWGY&~GH-u77SdKg1k
z_?Wly-g)CJz?bt1%ULzB{2l;H*>Mhv%1*6VDzz#B%}z2V_BL9ky0`f75m0f=BFHW7
zJMvy_;iz3?QUNpqy^}-$`S*p*3Zy(n_=jW}6ahyrFc`fhbbXHv0Nw!1y9@;2gjZx$
zi1S^5HQzVE;!pwpvWw0Xx2S}NSw=7&6a2)GvN8%hko`5IcIG2669T?N35?!tTYyz@
zmzJIOK8%GSXq^CD>Vg(5rL9wimI6Q=3Z+ma^yAXjA^U`$N6evZbuS3Zle^isyZjCU
zsa{jm+Nk-b-k8bxs&0F!j>rYQb=IPB{a~zH#&+uxeHn3WuVcJQfP<x1&%kEa;bPsv
zTE=2VczLx8)~2y-SZhRqB&nLj@d`2l#IwO2%baUF*T<rmSCx~S7EOhwArI=wcc&So
zb?C#$KRAprZKbL=D{?OgKsI22&MPjxMF=a9d%T42G%+-Q(ejIG7w4i5AW>NLV6&;`
zg07#8t5jtSR_8{K9TPV<^m|;Z`Sw#9AgLmgIK=W!;mg8kNXaBNwrk(p%;iu?Df&-7
zN3(N!hTU`(&gVZcA-|4Q;#M!b&J8@^8v{jtpy$%qRGWUQ<<P-|$S>UAv`(a$q_$uj
zc<0D56o1oeHzLo}G0na8R~%8(E;>kX3xOcP-QC^Y-QC??gFC??xVyUs2u^T!pTOYm
zoXPv1@7{I)fP2>I`DIqG?&@8#tDf%O{nS1zJ(G)q7W|7Nd$eNdSz@caI!-#CN=;by
z`<Lw>mlIy}8(E9A*N&bcN5_LY9lS1hdTV0FK3DMQARURir8wiU298x4Hsvy}y_w6&
zi7tjrJ0UXju<a`t?T-a|DP_}5rPXxiIKKqm<da|ft^$JWcbnHbIF{TRZtZ`(4&bDF
zHrlV<ktak*%FD~<tM7N22yJsO#!I@9VOSRMXIh4*Qmh@`SD(!N`A79cU2eGY2HA9a
zb3=r`LJef$nz3B4r;c6-Ef7=nQjShfBJ??FiuRGk;Q8hX6E|e;W6nphCzOC!uv&uW
zGzi?BT^>tlwDsm{t})7d^iz2)EdtTO@c{K<Q>jRikd$o>i~r%oM&zO?h{Zq_?alvJ
zQH*sFW%T%z75z#VN)TL*N^dau38m0iLKrE1?{Ha1HKYYGje!ukCA8^@@^%g!QzNk<
zE!~%vv<A?eV;XERKN~5wDVI;dS0kax_7<ZeEGhcGqqRg$34x{6f+pW2K=>89R_ydd
z)VqIIhKR64O0s-lQ`z>(WU5g`{WwLxq(uo3D~ntGo-2)J<|IJK;5wwqp-p2>&Q0hT
zt{BSGGYzCCTfUl>08pG`PY2wvd#p2@M;_+8L7o&Nu6Ld}w|Jy^fIHRb)qqh5H1vZx
z7NQc}AsV1)rY%zB`LJ_nqUx(Yu%<K;-0~zGyd+@K#`WUOoW2XYqf3BnY`g{oiQCDA
z+w;|tnHLX{a}xr;t4#!$9J|6W4BC8-%i7ZU!~sVIqjYGrl9-xAmTQg>et?5L#8VNB
z?f}8a=T#C^WQ5)iC=x2Bs%J8}pD;Q+0@8m5*y>Zk=gD^g*^-ON0_S+U_P<+DgqzEc
zIT7OP{ops<u$1OmwT#^VV#A*}{&$h0R{L1zD~Mk{GYehF%u{9QC){KrBO6U?ZvZ5P
za-;!AwPWdPM!PSJJ1yWIU{EfBmNK-bp3pJ=_ePW`DJ6ww8(X-=?M$)J!!}c>g&u8v
znH`V%a45&{%%`~q`Qb3__Ly^oOJ*32gC5<WsOC#cm__7I=~<rMH1-j(<v+EqE*k5s
zS<xcseTUt{s~cD7rY0n9cw{)ql1ZlS7Z`VG4V!l>UQf0l&Jg@<;!_?<MfOx-)s99`
zv=d8}b7Qr0Z#lDV<%&U1d#7`~)CEpGWNT9!)7_Qa5afJV;?)^L5Xv5(bl>Xli(5?`
zJUvNX$2ES75)LJ^ghPO^0-la8N(rNU3Z9J?@mads6-p!Oko?~7?~{h6sU8Lcu)m=d
zvK)swQe9UUuxnfbd}ee)?(xtqVfj4dbByrXch`Q8ZC9)c8Q++rR!D%?m(Xw`)Py{Y
z`Ym+E>=m$-ZcdNxOHO>h?aNDc4{JS}@7NdQK1`4r>0iM8OBfGA3qzd!Mcu|OE68?f
z?ai3zZ~E#{v7xnHh8FfApz?q=JaSZD-jGERsD8KajZ5%CjkR3|@$<BYIwJ9jf2}C-
z5>jEto&0fCu-tG*bh2KqpPs{7by1MQSHSzm2v6m}U3ybe$HmM5xDQ)Uo1AdL@7e=$
z%&k=~s`xpwHk%wN<4mVthfIa4y625ZibLaooIdum$J8ZWNuYB-IKX0ZNN_T%n6F~$
zjGi*e(bnQ7e!j^PYbx#npVU@gLOwlXI5=^Z+!xy~k4U=_8JwPzz5g-wfc@xq#A3#~
zY@BW<G47I<AX9N3F+SpyuJ;uPr$!NjNlMlK4m48EEw;Og(ui|zgjRxqi%xYNyVd5=
z4#k0jcVc{iec*WWmr+tUNoT|eosGjh^I^DvG$R3dS;%;Ooq$(9<(nT9R%HG&y{`P=
z>%+8G+$$g>_RW5pZ7ZxIR#rtgsT@K;z$EquHr*F;-<qgZm+jE1CJnPPAracEb-qzc
zUkOz6mcqT);{&RSb*ET&?nuSTP=$(lEyK;*^#R9r0o#-DFc$2B9%3xM448JWbb0>`
zNLH;3Y~rpuwb?{k*QE?%A+gy-)&zGFSL~BqGJ;A^WOCF-<{%Ba7Jm}7Rs56(jd1Yu
zjbPL%er)N;JLwHK$u)UhM@K%Pdg~fQ)!7avOn=U13WVyAYbFQ+yzfEtv(E}gf~-|5
zY|2_GeQDY)vba?m0LnN1xan>x|4lW4!Itz5Uqs;jNe$$BqLMgALHxHK??4&y6<yZx
z?jLqDI!?>uKcJP;-3JayWrOi75F4`7%^00?C5`e9eU8?6pgRuu8lhro5ZX%oUww42
z<$!W~DEQR^@^G>{N9bX4Yb1YphGwl3a3e9_&D8_z`>1}E{jP9r3<h=>)XHoE4+;Jd
zsv2-mKrwARjAAdx6)rO>^N7DQ9}LVa^pmgF41Ttg3x>9~wAQpXwZO75TJA*F(eEi`
z$pH5|X-aRPKf@6a(jG$@UijUT|EC-o&M|KNL4Y|Cw*C7AR#hCzhrPRahB~H26M}mf
zK;y3m#ogJQCAy68O+oP+Yc6(jV?~?<3A7xaHq>TR!D-T%4mJ+uiB=w}tFHa?Xh-lh
z_Hd_PTQ~uCYuGKNCGhhy{N|EQ?vEv74?l)$TjVL!k-h+q+qAuxYXxa+3YU82*Ttx|
z*}ZIHmO49UG0x5Mo#!|hv8upTp;UG%2R6CUQEkDI)^DwSxud4e9AyDO^DWN9SBe@q
zNK_MdzURnXQ;e5kHHHIa7sC1aYP)!aMUPwmFVmn7I+yB6ccOUN9&2=yBVt2Xytvxb
z!Mp;!mc}8OV-N8yl<X7jRb*Askb6DUxAX;Be5Yzzl}yq7#65nfeD0!GUUpyPZmEez
z<Bf_AtP2=4`nBPcqRhF!*@*U&CtfB3edIC%K>or8ZiUsbtBznMjYF=`!gO7hRf%bV
zYdPs@aZefM1SZZf$&MCcuOOzPTBLVJ!Rx-wgLx>-i7{9O@D28wN4t*a6uvXC`fFDd
zQhqA&q;2}=7c-4rv)yW9OZI}MUmie@HAYT+fxZ>)ompLhBWaapbq$pI-!hPCXkU>;
z#xI-E@K8rmktnUaKhwaOL1XD{vzkG?d^f_T#~_OR7MxyoweBNk9`wT1A=xghmr(?%
ziX(#SC=EX+z*-Kss!@A9q?;QR(I61{B|xd9Awv}Kt070uj}5{*=>QSqOZD%`x^qXa
zuQ8ulb7K!FjP|glR&>6tQOfrcGicD1=4+Ws8-m|MIaQ_*dB)rnE*J&>`L#uQl9!G6
zQNDd58G5ovQW%OKI#~zzARNM#*m_j_XMZ61dzZ;#QwICWDcXod>-UL_<Tj@4JK60n
zB?S4iMs&$AdUX=<0%snq4!XPAh8}TwJ2mC_IA?Qva^*<^;TN8L*<br;^*Vn_Rt#oq
z43GM&)YGXBl&LlP8l6q;hh<p`^cYWA5?byuTUi!0qV1=x{Lz2Fbq_Oq`6Ye=a0#l0
z$~ECr%OSHy@~aN{)Jj`_!;lAlN9V|^cl()$ul7vbTKL+4DS{abW4%~*WTNgB2KLAL
z%!~m!$}MG!a6V)@V*Tm}*Vt3`bU)fJ?eNCnNR7{blZAIb;HINr*FL_6Pc&v(-x--9
zN#+n=h7{)|vrm8APapS1p(lm-yzADu<0P#sOg+HwaIJlbwmg2}>f#2Lw3P_Uf_qy(
zsXEA;E^_=1V0df*!pcnth(b=WuQ%RUMIILxrHDL#A{mS5+RK`=1f<74MF-J;W>{K%
zusSxVfqIezxssT!%0(fA<d&4UKj3$;Hz*R~_g9;K?ps4pM`C@Hww3tFdtsAY%I_Vb
zjnrQ{RdkJ#rlxO4f<L}S2XkyZwk&e=YkTt|DuOusvhOUGJKFno;7Ox}vi2=!*EE;<
zeldnw3b(cF=cU^Hl37WYNum+&1v8SR72RnR4@kO;gmHZ=SO|d$ZCvHrN^mbC&v1d1
zFV1y58Z_lFng=oOo;z_qqEsnd`JrXXYtuoHzdygMM3F&;jz2itLH+308o+sq`<%u-
zjx!(gFv2KrUPP=Y8&FwBl8%Gg_2X*rpwOp45dX#P`*k$@ovET;UY8B`?lb!H@3OJ%
zYeL|ZIU-yMKiYvNYf1#0Zn2ZVQij?lj+6k|ZtAgM!1!E!-_0HKi<I|G!P3_miKT!F
zw2<U_JQb=zMZqd0mj&P37np7KYX^PL`($^!1yEq}xD<ZbaJ~SmI`>n2l)%_wDd4;E
zsU~tY%x20455D{2-%pf%<kF>AGVyjQcLDr~alF!aRM!Q~v6tN152m^<8#}_y60rq>
zeugxgB-dkC@96J7kt*B}%V`zE!|0a!ggC12*RKb;s99c~EQ+i)C!m|UYy_^SAgO96
z2F@v56*}xP42cGbtZ5_#GGZ_*sJ0`$hk))p7|X6tg=88pvm$J%xDi7Bk%S?GoD`~`
zqEyl7$u5gZEUEjvV~Us97GyTv?B++|Rp4qhMDG4YlSKtsvc#iWKo&D<JL<%nu7eFP
zNA(2$rbpBwe7iz{;yFq{l36<Bb?JLWlMq_^#KL0t{fN7L5?2%?-4aZB_g%6Ul?{YT
z9=Wj-?L9yUME@&v7M502V~5CfG`2=~@OP4Mk0d8hAjoNwMv3si)Y0fFWz#M8*H_OJ
zuH&Ch{Mn*&hR%Al5ONp@Qk&r<N;H#?SCzxrx_Fx_1X?V{CU2xhJ+5Cv_P5iQlBtH}
zpzw?~)n+@H!v*rq-YKp|yD>dM^sBgn6u`J|c|HnO+SY(-Il3uj<%A$Npnf<MO67Qx
zPnSHBre~Y>4h#H++e`GXf$V16YSfEV*6*pYK-O88@vEX-cz(Ke!uaEZ^#MVtN12mz
z>U32^)uPZU0EWz0ttWy{Ye)O4h+EHfa52KdU#VAhm!-b}&1HQ5-q_(|qoK*eDWZWc
zt;h))$#k3_<mjnfC-#|#lGN};s-AqRR2w#n8KIcIrdCIrtjAA(Ecnpa-Ipt2e5Sj;
z3XEl;l<oZlU%n^gnGeFRr@(PEpD%f!q;vCvt9$jOJqN@(LHBZbyN@g0*ML-2iGejQ
z<D=4s6z&w-9;+Q#l0!<Yh(nTE2@tTagrZ|wvwSptsLn`QOr57|E2#Vyw=FZUl^3v#
zsu9DHB|j%c*{9)bZo&q#DR5Ao80&YK!Ute5tJ+oZIGK_r^8-Z1BNS#=|Csj{Z}X<`
z`T!O{_t+PNIdHOj=JDRphb(d`ghUI1W6+?B&j|@@zJ3cW$pu+!BcGT3#wWPWID9DF
z{cX%C-T;qYXWF_8TP*szl@mul?C?TNkS^44?(Y%<Fc5Y6JRTtDD1NeEuTx)qPQ0y}
zhyIAYZqfl^*2$&ah%qSJx)JCGG^al#2W1h5u&dPT99SVoQo71dcT}4}RGJq=UPKnJ
z#*9Kttr+S#*CfbFJB?AB=puZ~5LJQ{5kQ&QoJ5$aJ|eY)kL<ba9?ACv-4h?IMzY+4
z7H_NqiM4(E><F(IQn-TKu~@Uvl?jI-)V@n^7@N!vJmJjp*H$`DGXbPA+Kpc!l;fG^
zfOsQa273IcX~1xoF{M%|gPezoEj~(><+pZ{*a&eo(Bw)<!}Jp8Ut1{tTt6hok8>j0
z=+jDvr5>6It!ai2$YU((RkGBPLq{IC8=m8P41b+R$!uVBU)4M5E<AL8ys7l?=g$Mf
zhI)cDj+3JOmy~{9rCm`38%<=yZn@aP4x;Bjfah2t_zf1Q(?(WssZbRK_=8V&P--Vq
zQo~V4!C6$iy@&zHst}ahklGXdE>|}5VFyUOsL*j^<?iCd_di_Ih2e1fHt*WCJpUee
ze?q$J$=cuwKs(cgP9BO3M-t9kj?yNxdJ~EaiVwq1Wd+PUn;8{G|BP16GO*M7Q+~@D
z?o18aB?QG3{ash(<X%pgYA(~pJyz_CUgqXh7hI3}A&c9Dp>r~d3?lEYWY8~c-6{PT
z8QW&JXn-j+tgksccCZL^y7L2r(4HT~cZH>C?+;WR51a0Caf&|1Ka838P*t^3q3Be$
zqWoI}@SH|$8LSf3G|32FSLw)cOx@FQNZ&#!?kx-P3PTA3<<;FT7e#}~Q&W<?G1o}Q
zmB0Qh9ggobo1HCwDFx-YnD&>yl?tshdtuXC{o-q`%BvMUO#N$0f5~<TsGNkjCyJ}i
zZaBcePFgWA!YtNaRD?$AIY#?xCpJ-?F{X9H_}NM9N9?5Z<JTZGK`9LB&*%fRZ$a>U
zN~zyK)J9nwqQdEr-tSVO@n=@sNMYTk(rt^sHx^X7)8x?mEfVh1Ux~`^zu}b8-6=uV
zI{qSh=tpeP&LOpuvHte0=RRYmE-Hpm*#2Cs%?f!+jUufAn5<z!?qRrH3R!@si%JvD
z)kxyx!gFrFv-(+W#-F`(GXBm}Yr0rh6adC7JN<srXI&*%d#_QiJbj8Vi~}q35i%@9
zBKk>py8e+BRCf9C{!Aeuht=&Zl<Yr_dDKI1QKfZ<I7WfMQO#03!=AzCzyTSSmfG<b
z3I>UQ@m&gIPXM3NiK;a|_bw@_%1@$GpqkA=?x?p5nlQm`^1iL=b@kq770o9$oQsrA
z+0((2Q5zb*6q9eE%5?Uk6s>K)Cl{}AhTJR9crH0;yh$V{N^P&{zxXLf%t#H=a2agr
z=5ODvB*ndb1#pCZ{o$@lJIS-&(dveu{$nr03BmPn8;i4Xh^Co&{DeK$wM_tliH^vQ
zHptR3Btqt|EWx<fb9eT9fghV8)>e_Z9Sn@I%RuS#0`Fj#{!o$<#&tKLrHbc0>dD3D
zpyNk(Rzg&aUe0R4%DR>|S=OqCb$8+3Wf#$58I>K|;u_N$={V{JqMM)128=VGB%dU_
z0^X-mv<&z8mnEhMB~?8yXb($!Qs<z568g{Q9-1{*n<3v~vFCfmmRMfX0_A7A(cl#m
zzgZmwcvhul&M~L_C1IPBsP2>fWBkOSP5GL<CIfB>7SEGz2Wh438v9!n)<|qH=&{aM
zGlgR#t3VKDkYjRLwB;SRn_Dcr&n<KG8Es!}qFd2B*CCLaISpPv9>T^2q|?Yu1uD+^
zKmu_1eB*W$i`UPGA!gno8I=U6MYzMgChi<y8*=`M5EXxmQ+J=FTT}d$-7RV2@l`w>
z^i@+p)FTpcwahu@)`V<4>6=lI`2`2bnEb1Pm6F?e`&I{0CW4R+geh}Vny#vF|5)3z
z9wDaPhuW0X9PZ^#?3e7@jtvqks@uQMuxO%t4a#bArgp7fo7$)imT)SO!k<7`zPoXJ
za#{lpu-@|>0<md^&YI9d%_z7a#U;aXov@qj69)2nr~9B@%VIU?Gkdu)Y&w~_dOovf
z$r)^>3J}%z4q8427pU~UOH`0f3F67tg%Tp9`NPCOBA?_~`!Y~9NIJbFwUq619Mqs5
zF^_{DK;ioyR^FH?n~aky<mKZPdYxfiFkq@<crxtO-u7zGCC1y7$(AOYo<?deg{@oE
zZ^>u*Odn*?3b)-7B~4s>(JVytJ^ibM8H&}+@I6ZPaWJ%4`c^76+}$QiAo?{Y>QS_b
zP|DUxFQrqeS27ig3%H^5oYYfRGt+)j95%a#yB-&^ZN%AErY}jFRl;KuM@_%s=TnvD
zB8bsk>y<2v(=-PR{mLck<Jf1vnZrA#^Hj8USCFs}qzLv=W^PFzr{sLqG+du>tzHUF
zsXJWyr97(o5QYT@70o^qr0XDz@nnlpA99-JpPk|y={r6OJtTKlkzX-x%r3BK-(f-w
z@21A!Ak`j4O->0b26Lwdsx@%E>rQ=4Ck|+E5k>(yS@=I6?5lQrbs)UTMd27tJl@A3
zgE{iO?JsYOK8YD6yvp9NarSZwc<;2H6?u|(J#I9uaUsGD)v+;R*xLS?csB6Hsb9-i
z26?Hqr$81De-8-oLn7Mczq)wOEcRC1vaKjA0OR(#SInm?v3}FCh`Xt!!05o_y9^(t
z^j=pbtZj#sJjpc)NV4#&?AN=8@!^O`@)E9?Aw9pk+cX2lrib{u)I8lz109Ks@m2=L
z&%GtfyA6-GI!^@2AHiIKIg{BGj49r9xdQ6uBAbP$Ny8G0@XKV%8SQ%Gc$SGx)eo*U
zis-D~LaF}u?jSnJ8>g=%KeaMhtNWdYrc2^>o-&^U=viYQP^;e4m5I%12!7*nu*PAr
z&|2@#wEf5{{b@Dpf+4kUGl5IY^S9QWxn0{nY2l!|+QyNZew(ISevNcdm81^4+S@sU
zxH{lu06Py?Z<&*XUbC*}si|nv0`;uxjEC=Hrsv81kAdTmURmz+QzVP)q96IL{VpNS
zF)1b)(l)0D$`8*2f7z1_X4^%rZ6N20Rz6|{hYWY1?9<z?Moj4XPhZ3@^%s5jn%<u1
zJgPf6+qkC0+L$;*q%hJr<Ne~Y5F-wTsmIe{k)w~WWqQAsfJF6R<CvKMSx5Kq&InxI
zk_#UEwXOWMd}tk8on-Ji(25U1Lel}j@e3Kr-K8@n$S=fF=b13yS4KZ&V(^4ZY}0z$
zAW@Fb6#JJSknL%d^1%cv<(9y01flJHL=LHui;#IwP;*&8yIie}Dxq)u#9{7$q74?G
zHHrX48#?<K@+qv_eSEJ@LNDjw8}&+YYrg2+uyL%$-jpVbqwTwSft90wOpWigh=vdM
zm2RAk68Y26{)=vtcSYx86M;|ZFtc9FX^$ecEf|n9jF?zJ*xe$oS0z3gO;|8QQA33|
zN($88riRpO$EsjQMjOtDi@dH5U`Q#V8C*qWsT<Im1Y&|$4ZVi%9R03t0dsLm2aYnK
z4UK4@L@(yj4s}$jGX&(l!%*ZIXM})~o29j0;kGt$An1(V-pAt*_LH@x%ArVhX=}@_
zxe^OEfFfdr*=Xb%tJ2A9E41)ZiBjm*5&C++OOT6s*`RKT3PLkSJDpSb6w+eH_<pru
z<oB0%8+l)>bRFOqB`EMU)$J9(AMw!{>R$VXKd8F6D9IZFNY4`LYsV44lVAePwrWsQ
z!(US#TB``dgu$PEpue+e<+RDHq*W)b$q4a5j&g0`a-6bEFhw2eD91YEnN-0{e`oW(
zbEncS>k+Cp-S7`+2{s=#(b%t2Ot-RW_!{%Tr7^wY9{aD4i#sC8j+rv}vnJCmH7~ch
zomuH7PMi$$HtwdoD9A&{<pfKOlw!V{;US1TPE3myD7%c^ZmXr)n9>J^2K@^T*Q#;o
z-c9eVV&Nq!!*()vOy<~axl}Wg!cpr)^&_Fi&*bK!si;Hi5O)gYonq;%)}%cgGB~?L
z7w<&}8Lxl_0jcGU+c4En$cnZGf77ELLy|Gyh!pX<axXjlg2#dN22CSta(&lFc{x2_
zj*q^>7=<~G@*8}1D)UvJf^Iq*O$QSN?l|>*GIdZd2H}6iLR3<tl8S+Bu%cncv4yXi
zfAvva%4%k<%}gArGs&T8lX(d!*GFT3)J(Ih1e=i0D2VgSV(a0=FV9~)`<YH1Aw^b#
z$((b5hv*ta?ISM=@<JEIAB7%CH)pQ`rh6IEA_JpdNuCuAhq-Fbi;HB=wwhW8MRJrb
z7*UhQw{vKui8!qZ#+4%2M3@5MIMQ5|0$LeE$c0QOSLZ*{wvz^X2%A1+kITCp6jTol
zWp%K%C9hjV+r+mNSlZ@TRB{E)HBy^Br?%(!MhG(bZY=&@`i`U(Hk8H7mv%nr^Bp}r
zfSFgD+#h;|Y(RRAU@EyP`-DHW;QI)A%D@)^&qTj2wo)X>RWZCD^uumZ{Vaziy!5|A
zUv39dmL=ecaQUKACrW13I^?h;eCP~v4MyF)U#Rp$DQhQYGwe7hl!UoCE{w|y`WBG)
z<&<Ucvqe_^EQV2rQC%@2B^h^tT2YK5(K&9InVnQ;>W&^mX)w8E5h@>zFgqx|2^Qv2
z5_I)Xprp7*G&}AFU}bhuiT11Dh+_TeW|X|m&$qTYWQgZrCv`Db`7;D4Er%DS=+qjq
z%nmD*hd~VUu?k3~nN@LFQ^h!sxx-fV8Clyam=CHuw#~f6KF@jl<$2sSV&%4R-jS<U
zv@5S_JC%=D#}r?~D`HXqciu>PH0+%@lc++J0(R7gP+0b<b@%S6TcQh;^diiFGz8}I
z7UI&^u%by`NZm>K)7rM;!BASE$10{ZNi%7QX_4B#Bav<hV{$5x8u<wum2qwXrfEFi
z8tJH|zxpdt(10gItUY)Mid*|evw=r!LoP(yF>4+2$r|*KL3wQ~6tDkNQ|YxvuABXg
zC*dJ8YS)&ov3pO`?-LUeap$+Q)K^-T`cVXlJ8B%2Z_5s>t20`2{N%ET^)p>&ihD3s
zpq~qd_y<BiZ^da~C1*%FmrGx>M!e3j0YuZ44~J}vs;YeS)#|=ScJJTa&ds;$MpCmU
z!kYOR8*S!2jWDwbQL8xe^%!xgAdekMWS&`4er_gri`pxYcMhz0BUdN*$IR*8&y9B0
zP(vopyJf$ZaMI4b?7=Ae(X{Hn(!Sw5)@GNjU`c?VUsZ@HsJs#57jBa-io2k>;}INl
z{<@2p6c5kJvl0D7t;DAj{=y1PeKx~H)NH7grxIg`pU!It<t}HV&3J1`ZqHg?_K|iO
zce0*8OlvvPnT_{2Jq5CTel`+~qKqdb+O)d+BGCkVE^v9MftM6?Ma+5*70vT7Tv&kl
zc=!MjcB<nHxqv&Vw5)j97FNl}OtgF<Th@)yUoQY%<qM6NMm6=lILL&C>A46!zo8Sx
zK`6D}Br;rPXRjMhRBVfmXO5)krBbQBQ?xX2Jp)M1C!uiJ78=-^gK%hhs-|*Z=DO-=
zUkP0A&W~4md;5GgwQ{~mVPL~ig-B|_8!!8fERae_pOOgOEun-iP^BFEzO__)C)l6;
zjB9vHS-$Zg-wNRS1mSnO+VdT;Oy-mLA>%dieWU+Z48y)?HQkL6C+x7}+gIW(HVvuz
zsmV`!)f)|_ZyO7DZPFpF*qI<U4ny%MQhuO|ki#B<*C7Rt<<{B{s^3!b29vXx%v5I3
zXQ{bVT#eWkg2@*%)5lMVvGb=HKYXB>(DblJd_0=z?i8Ai!Ofv-^g5h4gPKIv?l=a>
zO)$Tt@OtLvR~L?IGhCamG3*AI%cS4CPO8~=i+hSQRP5s7vN?x!#_ldzX2eI=r!Z>7
z@6By_{Hkr~XKA^=s-hJI=)IPo)e;V0&I5LgHcA-!p0yI{a`o?RD{Pmwn{y__@N1$A
z!+b8Fo}@JvOG(t?;P1#?mh!+Porv(3Byh8LNoQ+ALb)=KnO}Y=T9}%s2&D(fSfIi>
zX`4{ALKgefuioQ%IXc-R=gNP^PCQS7z!64-PbW4Co}|A9cNF89NT23ANbpUo_zl6g
zx*<8|$f7!b{4FpFsj8=?x;COwM@&WHUY8!pI}-nmHvNOTE0I2~R^bG<>f??dE|A+;
zq4S(nUEYAh<3fPvXh}NLahoKI^E+NVdq8XJ-}jl?C!JmlqtDo=n4ibFFN00f%Q!?z
zN6Kg>AB44%8`&itV*T@Ej91GQayK8Sj~{XBx+iVn1<_o<qyl6EhBr)dyLC7Y(4no^
zc1dQyMd$K_>~ER81!xL7WKaZQeNWzwKeVDfz<dtk+hsq^uI+Ywl^UUj;@p8He;sD7
zLP+ysP*Hyx_^2+ehW3l~vQ;{j>~l^<S@$+SbTqt3f?n&brmwH2R3IoJs@v!Vd^?6O
zdi3@e)ngXV?U(=lnO6?+otD~elYOSJN_vvZ+255fx)ZoJb-0>c_P*^se@i?D^HW*|
z;nUqHjHoj>5j6ZvDEEqs%BUbA_(YwID4C)Ivcf8x9ajydMUuwvMyKw=&sLaLbIVlX
zy7$}1J~ThWv_kFPnYr7yB6Q_%joqi##CX^Wss1z4yPDSyLgvLymwX$FYLE?Cr$9)M
zQS=k8#P|#8G68GWCq6cs>Kv|ekW!z!MEjPibA1q#sz#MoU}`Ht9w|D66h!wdQL2}v
zBvII-YVlUPEUQpQ859E}#m*(8JSO*L!Rq0f%{bMsK`URX3)UzJ$1Dip636Yc-rco^
ztN#I@P-EomXfj8ITJkp@eME7BcG42_4Ai8+&rV0)oJdo&uOj1NT02Y`qa)Rm7&;xC
zuqAGS5$|}aF7wPkj8|q$z9~~LzUqcF&vEip!2W2TfIJOpQtS2im1x(*Gihm2*`Yb%
zP2zzfb|`?dR_9IBYU_LiGs;)9lN0d54r$1kn*GY@&J9`%)I3WzQWtn9jB+_m4a5QU
zKsxx^&T4}Imf^sJAH?Aec!{#sfhcEGl;-j&W)9~PSmVPiA-?H2orq(f_3`@A7^2CS
zI(|#UMWKmw3xD7TSDAH7Kp}+uDYUDFeUK33hS{!hAm~<%qyLbyqC~lia-Y2z3f_()
z7SoV0D18?l1$0-R?{v$BHn88zxzOhZ2@to>Wq^5?E0T-7YR!=z!-A|`9I1jZ6|cr-
zn!{ZDG8rX}3WMu^ooLLxa9-syJ%r{d*6?=f1ts0%aEK)h`Nk?9xsPtMspK}R*N3YS
z%i<}r2P<;r%12Y$f=2(IkzNgn3T8A10)`};xEfp-{JvGVxV58<_FUtCzLi7w^<L#6
zduq(|ECRNnKmYpEhrN}5eMlM#;q<2c)DBdUe6$o|_UO9$DbZBvqFn=Ow+6ozj{6bY
z6#1Hb=m|}s&qdt;CXd?SVa%-apVa=AJXEUj=HNfGRbyQ!a;LD`{lj)}SM4vsafm1A
zUGS~tgR*w%y95eWxEL88Z{76fZAUhDg3?|qlgrJ)6SIK-r0c40#GQ0NT({%ii{yBh
zMi==5;kLurCh1vIUH2?-E<H9^@V2JtjAM06^&(Ah*}BbZUir-9vIFX@lmX8sui}Op
z&M60Y-}aNYdny|b)bzGYnfLRQ^=&1Xo15J;5pnWek-@GjnG_gqE=LQq54_*ZqlK9V
z&iRxr<_d7OR-W|`Hc;Pi@Z9F?Z|C-ccHShLBN+A`9R)WCd`CnYLj<_k4c<dpc&@X?
zSi;YKEQP$j8Bh=?1#FeEOAF;TShE2{;nC`Y;e`7=5rUww&>=Xe;@;~ZN3}xCd*!@Q
zl!OxXP|vW}DQUJl`Au}Mc66>4sVKb_a=u+C`U{ey7PmROh*0LqJfRMuh|Ns`7RcRE
zgYth<o)6Q!(+{?FJ#R@niQ^|+b>0>nTSok{yZ2?f=Z;<XvqH`N1MGuL3BPgcj_t;m
zn8@(iUg@In-rw!C90FT2a1#-eMh)Cm9;6hH6}yL=slZWca>T40@gQMr8MG|-sxW<4
zH{a{Hnh<675P#COf45PkYB}`RcUs}-G4NykV`OI)Gz06%{bcw7{^{x2Z+WmI{8yw%
z82Ha^e6j{g8OC7ncU~U>O)=J?wBb}m|2_>O?k>((3w_j*ViXM9j)!`aJT0pyIS01u
zNiCd^mAe9h{phEBy1UK9{V|WS+n2?cTSp6m?BzGs_VaHX+gu7;#NUj3IoOKs?jFMx
zI)ir<@z<E7w%j))gmnz=&-ouvI2jj^QwWCR61w>*IJmCCbSd#`Zqk(%HPIs=MnSi^
zWRTr3>YC>T#bp6<o!h?MN1MObPoWWPb&O739zp$$&RA4}?AM9Fb48P$<ADq1@SIrz
z#MIp<W9?&8QXu6y|6}hMa5!T%xRJ@Me5^wlhxCH?q~k5txp}j8K8<TbU>|W%ZM$k8
z>WtMRV3Oo;ZCbyGzK(q<zA|B>E6_nM=cf*q#QJrlXY8n`=Rz9kMdwwvGy-15%b%mO
z-V3}h;jYGkw>my7{B4$P)A$4p`<yoLJal&39i|@dbJrv1c?|oBpBw@l40Xv8@Mm*h
zYEmAW!#caCD+4dyNP)vOi1W!GANS|<9MO$e`;U%kA{dBkG$t#3zrrAX0?_-f3nf0&
z?$)d==NB@+e?p%9b}2D5fax`mZxxBAgx=3KjE$~feGu-Y{1hU^jk6FW63v+CgeGh+
z`@nS5w=#7)d4B5Aw&}65c|keb=<0Q}x|+F~xh-%LyZapRaQ2+~<FM%lAJ}>68rP@-
z+GX`W8Sw4-^NiAD_>!8}5u2@h@GvvS*JC4aXh}_4LlADe8K!sGam1=(A=l$R!x-!Q
zJlK*n!K8;@+2NRZ<M(UxP)EZgn|KT^4CA6#eZryUWYU&V_Wri^Y?dkedEK1*VxvXx
z!CJP|ey&G=&Jy9GHSg4sZlcwEdPlWZ*X5;|k>g9-UrL=cAIEe#$Gb#pFCVLY6d$@}
zm-%}LQI={tcTaVygPZrJGr{xaG5Hx?)CnmD%9|Gjde$d`jrC|t@c1BdL0t>IJ#+fC
zs#vt-mn=zbmZbr%lp;bGN}huzFUai^uEV;Gu03oW20C3$^m&6i21uH38+EENcOSV@
zc@*Yt(`c0*%bS?@C3fLcEJ)<bnl3+^Cr-8!kS>6yrxO8`lHOAG%J%8@ZI7*37#9xx
zc3M&UVg9}qWI*ffvGq%R(C|~9ZBLmU^gHnPF;dY>>!q9{h55(1ceXFSXQ0A4R9DZ`
zjn>e;59^t_rTNy;nY$?=@AcYLjtJ|i)jeCd<=#2Bi<Z#1<zY23@U7UhV29T~O`NPR
zfhD17q^x&Jt2Fggc6rqZyyn^se^JgoFoA;Be%d1aP_wt|`}?xhmbGf#&)3>Ix(iuL
zDVz4w9FDigQ=dbew1ybC2frt|pU3_$HE?C7p1ygFdM~CfqOS3o#LJ$o<_{rx8;r=L
z&ZpAnJy8N;@|IucxdTcaU`wqDCD936SNZ#QghS>)Ic1G~HN4wp?hi}x7m5!bA^@av
zy(!<<!CwQZ7jnm)myIu3&J26{6K*-Al#1ub7f$)uPX?!+sGQlgaeBrQC*o;en6PW#
z1~xgf&GM4ggF|S0ofMw3nfh7uD37<Q#3$Sf^SHKIlPF&_WKw=~I{Hj|@*k#D+F@DV
zf2x?b%=@C|mgnTVq<P)y<cW4*5P!pY2*^IRTV+Z@RjQ}8Ssv^yKbL+!dm1ypKXg5l
zFF%aN$UdGQA7kzwO_O{)q}A@bVWDGf2#nAR>*&2b^{?n6$+ah*M=f)xon~<tY#wx-
ze$`G2RoN1BU7Y8RGcL{}G+!S+4SYOnyFaXXc|3c+;<&qU(n(rV?RYR>#yci#p!K`o
z?CsX=1inrP7`i$dQuB({0)x+8x%>9hJ$Xc}Vc9&1vRV3A6Aq9iR1<zwpf<|XgiL#;
z|7oUEr21(e$egmFksZi;h?{$Nq&5!>+Q&(`4p0${Sx9ThEs8kI8A(<)_nsCKh)wCM
z*p5n@Zchn(4sBcI78IkN;5fzQZYL@JIJDjzD%dsr_~M4?6Q+bYN|$cx+iEEGQbzF}
z_VSKfar=cy?`Na_4zL-2`~$iq1^m8auUFNamN>8EklWEPT|c0)2LHtv_ZZdd+&JeR
zgXr-2ht~bkVNO4z80bkV=NmABJnwU6{PDYTlp;Sexo#S_aMv6vQLWQ*vimKw(phS|
zA#Dic5{alX)XkfL*6N@@Uivv3gL@}luNog{v?b?pX;3E6diBf8DPQI}k#u0@MDFr>
zPg9w->*Lgz3VEM$uOLtRl5%6J>Ui_i)WwYw2kp~{D&-3+D0jpSmP8;`cGKfEo>jvW
z&06r+WE~Y{B=g1xPSlc#hn^i7q7*>@-G$Et+SgLGrV-<>loN0nsn=~rWli36U1dMQ
zwCHxp8cEbX1??QVa4)X205A*+_CX7ceiIYM#Qcl2st>HI7IYWB_0O8aX|Ag}b!&sZ
zHoaM}6J@c@M%1=K<r@qpF-({ER@@ga6}uJ&wES8MX#3nNB}1&4xR%fHj1h#^!6uSi
zQAuLu2mnBk$oR_jj7%T-D*x6zB)e*p`k0{pm9?-X=YdRut=~9FSVt))5ii4f0@t=j
z)nR9Dkjd=D?m>quu-O%;(9+!e_h2l!)9b3xq5Dc=)Bj;pr`{;|yc1NLJ-*uJm}lU%
z8y35-S*=yT?Rtb!xh6yerw#!C)XJ}l{EDTQa<z}kx`9-dd5nZ0D%c(zD=nq4U#S-^
zl1x|viz+)gvB}|am+A62o2%9DYPMOVSzKNQ>KWME*Vx$F&WA5AEMPRQ0j`Dqqe;Hg
z1VhmKo<Q$P%>lCK18%K=!5Pdov8U_vf`E~Jp9Rjn>NowI))iEP6x&$K`;@{Y)OVTt
zZ)fK;i{2zY4<C*0$4Rz?$#4G#BArZ8QBgrnuViO$zxeue(_**EvbeZtJ(@_&ovNv;
zTO}Uz^-fY9A_Yf89c;usNh0|CzQ?=mHP^t24uaG<!V?Q@Z@k%!sAAMI&L4FCXl492
zW9PNM`L`^S7L5HD!6vNMZt{yz%;8a=FO{D^-|TWfU165b=4$Axf&`EgtCrhf&(XIb
z%@4%{Vhuqd^nScIlO!>~>VF1+x4->DdM1bd`01cqZw1aE)KBRcmr%|$G&FpHuCq%^
zrSd;HDyphvNhRYKZja~LT@FUyD@g$Pd9PJcy0sS9f!lc+dZ9J{Bqb*N8W?M`oVJ<H
z<;P_<2_266mVV>+=g%J-2L}%WO*OT@Pr$t8y`dO(tC{?6kTJG)ZY?Z8oU8>E1F8C@
zEM04*^Pzc-+#Tk>10$zTbYj7cv$@(EiWVdBdAnP7MZm18s=8aVtvfD=AW-4L)3CHG
zL&4`MR<F{q2CL43BpMeN=e=Cg>7(Vi1qsk=a_G(6$9+B*Oh}&!Il4c86UTQxp2Iw@
zyRG&AH)80~`s(1b%t<!+o~z++;9)LpbhzH#uRA_ebR%Lhlou2T2fp2<>*(mX-TdJM
zvVWAw22LD^d=i3ZiWOse8X+8-1(F4At<G;&wvhgf220F8MXrTA4hu}UP{n~-bD3k4
zr`PXP`)30ytC{P=i5I=2$j_v=mxHLbH%EVXTn-{Frm{1aU(*(2P$VICaEG0dsqE)v
z%lnpkw)4^|#0+b$f<TbqurNZ>;<C;vO{3E;v|n#MZWtk$f4S(ZQ=(E!Y^<uRB$Lj`
zxsCk<04UM<Am|{Ab{?h~cX~B=>4tv1zgTCMx{=ekd&r!9rbbUL6xKun0CsShiFS*5
zGpg(Amd8_ReeW)_<l^zTNu&`X20zh$0ju)2YPLwWti+b%<IRyI^sPwrB$5JhMM^DN
zN9D)SH~?T2bnDAyy*=Jzzs~U|mtU9A?^1Zl=z6Y1_W5R7P+eWU1U%;~A7_gs*^LK6
zn~(b*_Ylw4+Z0Vl;un8MeR(<L|L20y)BE)=#HSfSpxNz!kGJNveU%aQV;i-TQwR8O
zSj2PyK+nGjUu&^#aR+H2<MXKfJHOK%G*=1^OI3OKy^4IpfTxnBYVD#hL@b-xLh&iK
zy58qXa0Ig%4?xG^ajWFy<ovUA!26RWGNC~C$jm?W0MCVZIs>`<z8Vb~75DA8nh^_&
zn+P1}$tJ>@C;+9TXZ~zH*P~dnilQP>&~n{F4h0?x@2(lew7^TX$Hi97+sgw8>`;U-
z5nOhgl%qdC%hC;eq`}Zrw;zP^PyV6VLb<ZArm@fp@o8%0!YsM_(3iIX3HmXlP8WcZ
z1=0k~()keLeuCh8+E^QE5V{fqYCHhI8E*@akxv|Hxxe?w1gn@<Ql%+BRH&jksisL+
zDz%`(_EmGT*(@uq(3#pnCXHO%f~5Yi5hp0GACtJ}^5V*$#`IV267s(R0KPj9B6CV5
zg-g#}3RR(JfF%y?JHLHt!|0+B-&fJ3tF_utqqCuL(2gG3kN%mqmsZlgh(DJV6<|)U
z%F;Ec6Tk|E5aERWA6Y4Uy!rI=b{a{y(}EwPZ1QjTZ5Vwt;(IE;F=vM5WS!^TAlEX;
zGfPw9tZEJdEj)Q-V{|Yecgg;9vJg&rb#;nbFGNk3Z%8eJ>}(`PQ?V3VtrlIa)`rSt
zGX@C7$}}z2ir%&awmGdTK}Toq9{GQt3y{ez^9^A+gtw~GiI(`X`AuxE)Pz~~s=ew{
zjXCuZg5{s{0IL!+M4cjlJ4rV5f361@7b<wkLk>ewlGu*<?;b$V>t_Y<MEbYELI02J
zAR)B>`*x~9>j&rKNbCs$s66f)Voh;_RQjEfg(`O2Ve%I+_Pi{#(#-FAu>Y$IU=+2@
z9nAmwZ~H%|mzekrCbraio8xjY6s+6rUuAs30KHi&HCm18nQU&?@3pvqgEMe0UF&cy
z`<Feh52W?Gy_7k(yo%0yUmWPQ>V-Tv-8E;_p@X{J-QACi5(MVJiNgJ4fm*-AMSL&<
zb@{AqyS6MZKnEEa8JEw?X=V{RNZ{$TY5HI3mY!QS46GSTri9fc28<3)X0o~;P2y}j
zx3sj_*w~C$bvGhVYStOluv$))S60fjZTZ*^W5NT5@+&H&zj4^j{GBaw-}Zl~=<L)f
zQ^@%bAh2C#sL^SWxx2d)*8Bpvp4-~01!obNWD5DYSR7V0ef=6*&Dy_R7rpb~1b6p`
zbK7b#92p_39Rg0snJ3`2UEt~9%fIY|kB={`2@CKsU#U0F;&e1vyL95p_S81VROr2#
z;>BgPh#lCi2d2{is3gF$Ra8}z!SI8BP*+!%J@DO+Ubj^aY!6%(Gbtf<=%Ck4w|RLR
zdwY3ak0BH0p2xkIwI1I#utC{OhhvRs-~j$;aT1FwE9F^PxN$hF61*O#aGf%M8QOma
zEEJDHP|?tSJMg>cdAO(P{}g093kC{v-=(Fqc-$+&g}wBjN-GVf5DQ2EA4Uv>r}uId
zW#s}%0&lS-x08j6;M%VMjNi|9pgT}q-$~EI)_lHj$oE<lfZmt!%0n_hN=$S#!n7ec
zOiQg#z@|wii~GjOu(JjbdJlL$rmQjSGx(Q@&)fIo^Q)i${^(I+&E^wda|8noQd3j2
zxSUPu@_c`((*ja5{$JPtjdcl#)*wTl1v{T+qS5W?+Wc&@OOsMDcL5w(Z2r%;`Bkt0
z?<g=N0M}%9V2-Cv|MyS-Z2o*Y5QeDJXclF;0<JH2vyz0?w|{57Q^mR90pw)=A0*MC
z4<|GmEm5S?WD$3>#)Q;!J16UN*0Ky)jS0A&I$5k*1S21?Gn@io^8fzHWR+Acm78sM
z-e+_Bs{{@*>;2)lwO;?Oqv^ald|r?8#zq$4H5?^GzF0;nc!{&b*><0yD{yM@iz44=
zw^Ts>vP1hW4ER7fu${mN@EMFS?yg1%L6^IOYxTyW29(_Zv|`Z+lw)w=Tm~!AQT0hk
zTC3fu0O&3+AE!~PM=kyDavY9Z)mVmp%)smMlVC1@Ql;Gd0yr8MH#Vxn!(r$Rd-?v-
zKnMwkiV$yltlRsXcK~mfbRCa(`a^Wu9Q0=vA%n7in=rF;aM-*)Uimy7riXxid0S<f
z>n)MwcDd8veN+VYDhBsFTZ`EkIv8fiC-C2AYz2P!hl#x2L+9Ua1b)0F6%z(L67OUI
zgdBKycovqHD5SHPjK5#7-4DHjtF*eNCa01*RM2-YC`n4;x<3p77m(<T{|9IskH86y
z@dUnilT{RcSJeUx8G~`K&q+m@-$+YqYh_K1Jb2Qoxx2Rv>|O$vQ2+>_5yHTf;_d{?
z>{SS%AB~QOTdnp#Ev9p8Pz4@?jL?N<U%;6H10}*83=n<8Jv}^ZhN3Z(ieU-;m?A47
zgtltC&Ut!X&bxZ|ald{0=T=PvZ}DVGMS_)R2qDHCE@zP<i8vWvO<w1{P=VJ=QRz8w
zNzT>G1kYH9t!`~t6ud+-aCY0kvDn6CGatv`f4iLzUPJ|4H+Y=s*l%{KgZ;J$o<#mH
zMqqFX1|;%;7AP<#1ZO@DhmCS-)lw=vl&Z!?72s5ks;q1bgJExVg=(42`|H!cOasWL
z^9RTATDx-**k1&c#dfx~{|+mhEjRE!#N2e9=J!t3*4RA&C)#E(0-CN5fkpM<IU&o2
zR-&8A<|d_{%^LwvQU5adh{4cgK=e2`UAeu#dgJrBNkyO%YDh{((9qJd2fTXmKmRTA
zxgMkJsQCr}5E1>mSBUyTc{{<_SKiX14$hZg%$7>vwFANbu;HpexckIJH_`Z9Q2XEF
z0!YM6a0LU*e;XRyfb@U=0fLGCr{@0uz4I|}{&yb+`2_3pze`JtD~Q#K7=8a=<YWeb

diff --git a/devel/_modules/arch/bootstrap/base.html b/devel/_modules/arch/bootstrap/base.html
index 471df82f61..abfe054469 100644
--- a/devel/_modules/arch/bootstrap/base.html
+++ b/devel/_modules/arch/bootstrap/base.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.base - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.base - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/bootstrap/multiple_comparison.html b/devel/_modules/arch/bootstrap/multiple_comparison.html
index c35a393cf9..78a358f241 100644
--- a/devel/_modules/arch/bootstrap/multiple_comparison.html
+++ b/devel/_modules/arch/bootstrap/multiple_comparison.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.multiple_comparison - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.multiple_comparison - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/covariance/kernel.html b/devel/_modules/arch/covariance/kernel.html
index 4076b24ff7..e34d67ee92 100644
--- a/devel/_modules/arch/covariance/kernel.html
+++ b/devel/_modules/arch/covariance/kernel.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/typing.html b/devel/_modules/arch/typing.html
index 5ac5f59166..47b956c0e4 100644
--- a/devel/_modules/arch/typing.html
+++ b/devel/_modules/arch/typing.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.typing - arch v7.1.1 (+16)</title>
+        <title>arch.typing - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/unitroot/_engle_granger.html b/devel/_modules/arch/unitroot/_engle_granger.html
index 401035f6c1..ffa6c4e236 100644
--- a/devel/_modules/arch/unitroot/_engle_granger.html
+++ b/devel/_modules/arch/unitroot/_engle_granger.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot._engle_granger - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot._engle_granger - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/unitroot/_phillips_ouliaris.html b/devel/_modules/arch/unitroot/_phillips_ouliaris.html
index 94bcd4bfd8..fca2716665 100644
--- a/devel/_modules/arch/unitroot/_phillips_ouliaris.html
+++ b/devel/_modules/arch/unitroot/_phillips_ouliaris.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot._phillips_ouliaris - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot._phillips_ouliaris - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/unitroot/_shared.html b/devel/_modules/arch/unitroot/_shared.html
index 87a083579a..6031ef5b37 100644
--- a/devel/_modules/arch/unitroot/_shared.html
+++ b/devel/_modules/arch/unitroot/_shared.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot._shared - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot._shared - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/unitroot/cointegration.html b/devel/_modules/arch/unitroot/cointegration.html
index f6c0f66fd3..63b36cc8f3 100644
--- a/devel/_modules/arch/unitroot/cointegration.html
+++ b/devel/_modules/arch/unitroot/cointegration.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/unitroot/unitroot.html b/devel/_modules/arch/unitroot/unitroot.html
index f5639a1903..3171de397b 100644
--- a/devel/_modules/arch/unitroot/unitroot.html
+++ b/devel/_modules/arch/unitroot/unitroot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.unitroot - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.unitroot - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/univariate/base.html b/devel/_modules/arch/univariate/base.html
index 79926bced2..b955c46040 100644
--- a/devel/_modules/arch/univariate/base.html
+++ b/devel/_modules/arch/univariate/base.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/univariate/distribution.html b/devel/_modules/arch/univariate/distribution.html
index 53edd21e7f..f7dc0ab95e 100644
--- a/devel/_modules/arch/univariate/distribution.html
+++ b/devel/_modules/arch/univariate/distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/univariate/mean.html b/devel/_modules/arch/univariate/mean.html
index 27588fddb6..8c7f0fbdab 100644
--- a/devel/_modules/arch/univariate/mean.html
+++ b/devel/_modules/arch/univariate/mean.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.mean - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.mean - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/univariate/volatility.html b/devel/_modules/arch/univariate/volatility.html
index d030d7a5db..df2096509e 100644
--- a/devel/_modules/arch/univariate/volatility.html
+++ b/devel/_modules/arch/univariate/volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/arch/utility/testing.html b/devel/_modules/arch/utility/testing.html
index fe15cbb3a3..cc38a00748 100644
--- a/devel/_modules/arch/utility/testing.html
+++ b/devel/_modules/arch/utility/testing.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.utility.testing - arch v7.1.1 (+16)</title>
+        <title>arch.utility.testing - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/functools.html b/devel/_modules/functools.html
index 0d12e39fd5..0017108261 100644
--- a/devel/_modules/functools.html
+++ b/devel/_modules/functools.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>functools - arch v7.1.1 (+16)</title>
+        <title>functools - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/index.html b/devel/_modules/index.html
index 85ddb53eb9..2ebed36d0f 100644
--- a/devel/_modules/index.html
+++ b/devel/_modules/index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Overview: module code - arch v7.1.1 (+16)</title>
+        <title>Overview: module code - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/numpy.html b/devel/_modules/numpy.html
index e15f88db65..958ef845ab 100644
--- a/devel/_modules/numpy.html
+++ b/devel/_modules/numpy.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>numpy - arch v7.1.1 (+16)</title>
+        <title>numpy - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_modules/typing.html b/devel/_modules/typing.html
index 81bbc6d2b7..1ccf7610fa 100644
--- a/devel/_modules/typing.html
+++ b/devel/_modules/typing.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>typing - arch v7.1.1 (+16)</title>
+        <title>typing - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/_sources/univariate/univariate_forecasting_with_exogenous_variables.ipynb.txt b/devel/_sources/univariate/univariate_forecasting_with_exogenous_variables.ipynb.txt
index cd5d0bdb4c..263df8b387 100644
--- a/devel/_sources/univariate/univariate_forecasting_with_exogenous_variables.ipynb.txt
+++ b/devel/_sources/univariate/univariate_forecasting_with_exogenous_variables.ipynb.txt
@@ -589,14 +589,14 @@
    "metadata": {},
    "source": [
     "### Conditional Mean uses target alignment\n",
-    "When modeling the conditional mean in an AR-X, HAR-X, or LS model, the $X$ data is target-aligned.  This requires that when modeling the mean of ``y[t]``, the correct values of $X$ must appear in ``x[t]``. Mathematically, the $X$ matrix used when estimating a model should have the structure\n",
+    "When modeling the conditional mean in an AR-X, HAR-X, or LS model, the $X$ data is target-aligned.  This requires that when modeling the mean of ``y[t]``, the correct values of $X$ must appear in ``x[t]``. Mathematically, the $X$ matrix used when estimating a model should have the structure (using the Python indexing convention of a T-element data set having indices 0, 1, ..., T-1):\n",
     "\n",
     "$$\n",
     "\\left[\\begin{array}{c}\n",
     "X_{0}\\\\\n",
     "X_{1}\\\\\n",
     "\\vdots\\\\\n",
-    "X_{t-1}\n",
+    "X_{T-1}\n",
     "\\end{array}\\right]\n",
     "$$\n",
     "\n",
@@ -609,22 +609,24 @@
     "\n",
     "$$\n",
     "\\left[\\begin{array}{cccc}\n",
-    "E\\left[X_{1|0}\\right] & E\\left[X_{2|0}\\right] & \\ldots & E\\left[X_{h|0}\\right]\\\\\n",
-    "E\\left[X_{2|1}\\right] & E\\left[X_{3|1}\\right] & \\ldots & E\\left[X_{h+1|1}\\right]\\\\\n",
+    "E\\left[X_{1}|\\mathcal{F}_0\\right] & E\\left[X_{2}|\\mathcal{F}_0\\right] & \\ldots & E\\left[X_{h|\\mathcal{F}_0}\\right]\\\\\n",
+    "E\\left[X_{2}|\\mathcal{F}_1\\right] & E\\left[X_{3}|\\mathcal{F}_0\\right] & \\ldots & E\\left[X_{h+1}|\\mathcal{F}_1\\right]\\\\\n",
     "\\vdots & \\vdots & \\vdots & \\vdots\\\\\n",
-    "E\\left[X_{T|T-1}\\right] & E\\left[X_{T+1|T-1}\\right] & \\ldots & E\\left[X_{T+h-1|T-1}\\right]\n",
+    "E\\left[X_{T}|\\mathcal{F}_{T-1}\\right] & E\\left[X_{T+1}|\\mathcal{F}_{T-1}\\right] & \\ldots & E\\left[X_{T+h-1}|\\mathcal{F}_{T-1}\\right]\n",
     "\\end{array}\\right]\n",
     "$$\n",
     "\n",
+    "where $|\\mathcal{F}_{s}$ is the time-$s$ information set.\n",
+    "\n",
     "If you use the same ``x`` value in the model when forecasting, you will see different values due to this alignment difference. Naively using the same ``x`` values ie equivalent to setting\n",
     "\n",
-    "$$ E\\left[X_{j|j-1}] \\right] = X_{j-1} $$\n",
+    "$$ E\\left[X_{s}|\\mathcal{F}_{s-1} \\right] = X_{s-1} $$\n",
     "\n",
     "In general this would not be correct when forecasting, and will always produce forecasts that differ from the conditional mean.  In order to recover the conditional mean using the forecast function, it is necessary to ``shift`` the $X$ values by -1, so that once shifted, the ``x`` values will have the relationship\n",
     "\n",
-    "$$ E\\left[X_{j|j-1}] \\right] = X_{j} .$$\n",
+    "$$ E\\left[X_{s}|\\mathcal{F}_{s-1} \\right] = X_{s} .$$\n",
     "\n",
-    "Here we shift the $X$ data by ``-1`` so ``x[j]`` is treated as being in the information set for ``y[j-1]``. Also note that the final forecast is ``NaN``. Conceptually this must be the case because the value of $X$ at 999 should be ahead of 999 (i.e., at observation 1,000), and we do not have this value. "
+    "Here we shift the $X$ data by ``-1`` so ``x[s]`` is treated as being in the information set for ``y[s-1]``. Also, note that the final forecast is ``NaN``. Conceptually this must be the case because the value of $X$ at 999 should be ahead of 999 (i.e., at observation 1,000), and we do not have this value. "
    ]
   },
   {
diff --git a/devel/_static/documentation_options.js b/devel/_static/documentation_options.js
index ecafa1c4e5..6e456f333b 100644
--- a/devel/_static/documentation_options.js
+++ b/devel/_static/documentation_options.js
@@ -1,5 +1,5 @@
 const DOCUMENTATION_OPTIONS = {
-    VERSION: 'v7.1.1 (+16)',
+    VERSION: 'v7.1.1 (+18)',
     LANGUAGE: 'en',
     COLLAPSE_INDEX: false,
     BUILDER: 'html',
diff --git a/devel/api.html b/devel/api.html
index efaa14ffc8..ecfe7ae6d2 100644
--- a/devel/api.html
+++ b/devel/api.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>API Reference - arch v7.1.1 (+16)</title>
+        <title>API Reference - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/background.html b/devel/bootstrap/background.html
index eac2297464..6960389135 100644
--- a/devel/bootstrap/background.html
+++ b/devel/bootstrap/background.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>References - arch v7.1.1 (+16)</title>
+        <title>References - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/bootstrap.html b/devel/bootstrap/bootstrap.html
index ddb0eff57f..87336126d2 100644
--- a/devel/bootstrap/bootstrap.html
+++ b/devel/bootstrap/bootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Bootstrapping - arch v7.1.1 (+16)</title>
+        <title>Bootstrapping - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/bootstrap_examples.html b/devel/bootstrap/bootstrap_examples.html
index af36e8c564..74dfd5cc71 100644
--- a/devel/bootstrap/bootstrap_examples.html
+++ b/devel/bootstrap/bootstrap_examples.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Bootstrap Examples - arch v7.1.1 (+16)</title>
+        <title>Bootstrap Examples - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
@@ -1104,9 +1104,9 @@ <h3 id="The-wrapper-function">The wrapper function<a class="headerlink" href="#T
 <div class="output_area docutils container">
 <div class="highlight"><pre>
           Const           gre       gpa
-Const  0.429664 -1.041260e-04 -0.105644
-gre   -0.000104  4.522731e-07 -0.000049
-gpa   -0.105644 -4.891813e-05  0.039339
+Const  0.419742 -8.085836e-05 -0.106778
+gre   -0.000081  4.036474e-07 -0.000047
+gpa   -0.106778 -4.698808e-05  0.039316
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
@@ -1125,14 +1125,14 @@ <h3 id="The-wrapper-function">The wrapper function<a class="headerlink" href="#T
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-Const    0.655487
-gre      0.000673
-gpa      0.198341
+Const    0.647875
+gre      0.000635
+gpa      0.198283
 dtype: float64
 T-stats
-Const   -4.582141
-gre      2.442388
-gpa      2.291887
+Const   -4.635980
+gre      2.585318
+gpa      2.292557
 dtype: float64
 </pre></div></div>
 </div>
@@ -1152,8 +1152,8 @@ <h3 id="The-wrapper-function">The wrapper function<a class="headerlink" href="#T
 <div class="output_area docutils container">
 <div class="highlight"><pre>
           Const       gre       gpa
-Lower -4.188488  0.000359  0.026381
-Upper -1.621971  0.002868  0.835709
+Lower -4.113994  0.000367  0.053126
+Upper -1.727693  0.002906  0.802549
 </pre></div></div>
 </div>
 <h3 id="Speeding-things-up">Speeding things up<a class="headerlink" href="#Speeding-things-up" title="Link to this heading">¶</a></h3>
@@ -1186,9 +1186,9 @@ <h3 id="Speeding-things-up">Speeding things up<a class="headerlink" href="#Speed
 <div class="output_area docutils container">
 <div class="highlight"><pre>
           Const           gre       gpa
-Const  0.429664 -1.041260e-04 -0.105644
-gre   -0.000104  4.522731e-07 -0.000049
-gpa   -0.105644 -4.891813e-05  0.039339
+Const  0.419742 -8.085836e-05 -0.106778
+gre   -0.000081  4.036474e-07 -0.000047
+gpa   -0.106778 -4.698808e-05  0.039316
 </pre></div></div>
 </div>
 <h2 id="Bootstrapping-Uneven-Length-Samples">Bootstrapping Uneven Length Samples<a class="headerlink" href="#Bootstrapping-Uneven-Length-Samples" title="Link to this heading">¶</a></h2>
diff --git a/devel/bootstrap/bootstrap_examples.ipynb b/devel/bootstrap/bootstrap_examples.ipynb
index 7bcaa2b744..64a9d84643 100644
--- a/devel/bootstrap/bootstrap_examples.ipynb
+++ b/devel/bootstrap/bootstrap_examples.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:16.725192Z",
-     "iopub.status.busy": "2024-11-04T11:35:16.724932Z",
-     "iopub.status.idle": "2024-11-04T11:35:18.315224Z",
-     "shell.execute_reply": "2024-11-04T11:35:18.314500Z"
+     "iopub.execute_input": "2024-11-04T12:31:10.945187Z",
+     "iopub.status.busy": "2024-11-04T12:31:10.944928Z",
+     "iopub.status.idle": "2024-11-04T12:31:12.552282Z",
+     "shell.execute_reply": "2024-11-04T12:31:12.551450Z"
     }
    },
    "outputs": [],
@@ -56,10 +56,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:18.319261Z",
-     "iopub.status.busy": "2024-11-04T11:35:18.318100Z",
-     "iopub.status.idle": "2024-11-04T11:35:18.657313Z",
-     "shell.execute_reply": "2024-11-04T11:35:18.656435Z"
+     "iopub.execute_input": "2024-11-04T12:31:12.555943Z",
+     "iopub.status.busy": "2024-11-04T12:31:12.555548Z",
+     "iopub.status.idle": "2024-11-04T12:31:12.868251Z",
+     "shell.execute_reply": "2024-11-04T12:31:12.867421Z"
     }
    },
    "outputs": [],
@@ -84,10 +84,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:18.662633Z",
-     "iopub.status.busy": "2024-11-04T11:35:18.661568Z",
-     "iopub.status.idle": "2024-11-04T11:35:18.682881Z",
-     "shell.execute_reply": "2024-11-04T11:35:18.682129Z"
+     "iopub.execute_input": "2024-11-04T12:31:12.871831Z",
+     "iopub.status.busy": "2024-11-04T12:31:12.871437Z",
+     "iopub.status.idle": "2024-11-04T12:31:12.886289Z",
+     "shell.execute_reply": "2024-11-04T12:31:12.885567Z"
     }
    },
    "outputs": [
@@ -124,10 +124,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:18.735208Z",
-     "iopub.status.busy": "2024-11-04T11:35:18.734501Z",
-     "iopub.status.idle": "2024-11-04T11:35:18.739528Z",
-     "shell.execute_reply": "2024-11-04T11:35:18.738772Z"
+     "iopub.execute_input": "2024-11-04T12:31:12.944797Z",
+     "iopub.status.busy": "2024-11-04T12:31:12.944441Z",
+     "iopub.status.idle": "2024-11-04T12:31:12.949734Z",
+     "shell.execute_reply": "2024-11-04T12:31:12.948960Z"
     }
    },
    "outputs": [],
@@ -151,10 +151,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:18.742355Z",
-     "iopub.status.busy": "2024-11-04T11:35:18.741903Z",
-     "iopub.status.idle": "2024-11-04T11:35:18.751770Z",
-     "shell.execute_reply": "2024-11-04T11:35:18.751072Z"
+     "iopub.execute_input": "2024-11-04T12:31:12.953187Z",
+     "iopub.status.busy": "2024-11-04T12:31:12.952686Z",
+     "iopub.status.idle": "2024-11-04T12:31:12.965241Z",
+     "shell.execute_reply": "2024-11-04T12:31:12.964594Z"
     }
    },
    "outputs": [
@@ -207,10 +207,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:18.754634Z",
-     "iopub.status.busy": "2024-11-04T11:35:18.754216Z",
-     "iopub.status.idle": "2024-11-04T11:35:20.295403Z",
-     "shell.execute_reply": "2024-11-04T11:35:20.294559Z"
+     "iopub.execute_input": "2024-11-04T12:31:12.969480Z",
+     "iopub.status.busy": "2024-11-04T12:31:12.968449Z",
+     "iopub.status.idle": "2024-11-04T12:31:14.539899Z",
+     "shell.execute_reply": "2024-11-04T12:31:14.539046Z"
     }
    },
    "outputs": [
@@ -243,10 +243,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:20.298581Z",
-     "iopub.status.busy": "2024-11-04T11:35:20.298099Z",
-     "iopub.status.idle": "2024-11-04T11:35:20.830047Z",
-     "shell.execute_reply": "2024-11-04T11:35:20.829238Z"
+     "iopub.execute_input": "2024-11-04T12:31:14.543113Z",
+     "iopub.status.busy": "2024-11-04T12:31:14.542676Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.039984Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.039158Z"
     }
    },
    "outputs": [
@@ -282,10 +282,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:20.834281Z",
-     "iopub.status.busy": "2024-11-04T11:35:20.833230Z",
-     "iopub.status.idle": "2024-11-04T11:35:21.320626Z",
-     "shell.execute_reply": "2024-11-04T11:35:21.319786Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.044165Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.043108Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.532010Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.531237Z"
     }
    },
    "outputs": [
@@ -317,10 +317,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:21.325548Z",
-     "iopub.status.busy": "2024-11-04T11:35:21.324333Z",
-     "iopub.status.idle": "2024-11-04T11:35:21.336128Z",
-     "shell.execute_reply": "2024-11-04T11:35:21.335220Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.536431Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.535351Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.545733Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.544977Z"
     }
    },
    "outputs": [
@@ -354,10 +354,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:21.341227Z",
-     "iopub.status.busy": "2024-11-04T11:35:21.339977Z",
-     "iopub.status.idle": "2024-11-04T11:35:21.350939Z",
-     "shell.execute_reply": "2024-11-04T11:35:21.350064Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.549799Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.548781Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.559156Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.558361Z"
     }
    },
    "outputs": [
@@ -389,10 +389,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:21.355564Z",
-     "iopub.status.busy": "2024-11-04T11:35:21.354402Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.023448Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.022515Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.563414Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.562342Z",
+     "iopub.status.idle": "2024-11-04T12:31:17.022468Z",
+     "shell.execute_reply": "2024-11-04T12:31:17.021625Z"
     }
    },
    "outputs": [
@@ -436,10 +436,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.028433Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.027278Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.051137Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.050247Z"
+     "iopub.execute_input": "2024-11-04T12:31:17.026103Z",
+     "iopub.status.busy": "2024-11-04T12:31:17.025554Z",
+     "iopub.status.idle": "2024-11-04T12:31:17.044623Z",
+     "shell.execute_reply": "2024-11-04T12:31:17.043879Z"
     }
    },
    "outputs": [
@@ -486,10 +486,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.056182Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.055000Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.375085Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.374355Z"
+     "iopub.execute_input": "2024-11-04T12:31:17.049126Z",
+     "iopub.status.busy": "2024-11-04T12:31:17.047829Z",
+     "iopub.status.idle": "2024-11-04T12:31:17.344379Z",
+     "shell.execute_reply": "2024-11-04T12:31:17.343557Z"
     }
    },
    "outputs": [
@@ -539,10 +539,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.379262Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.378181Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.383018Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.382356Z"
+     "iopub.execute_input": "2024-11-04T12:31:17.347138Z",
+     "iopub.status.busy": "2024-11-04T12:31:17.346821Z",
+     "iopub.status.idle": "2024-11-04T12:31:17.350186Z",
+     "shell.execute_reply": "2024-11-04T12:31:17.349663Z"
     }
    },
    "outputs": [],
@@ -563,10 +563,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.387046Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.386078Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.396928Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.396207Z"
+     "iopub.execute_input": "2024-11-04T12:31:17.352440Z",
+     "iopub.status.busy": "2024-11-04T12:31:17.352108Z",
+     "iopub.status.idle": "2024-11-04T12:31:17.360283Z",
+     "shell.execute_reply": "2024-11-04T12:31:17.358998Z"
     }
    },
    "outputs": [
@@ -600,10 +600,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.400976Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.400010Z",
-     "iopub.status.idle": "2024-11-04T11:35:25.843720Z",
-     "shell.execute_reply": "2024-11-04T11:35:25.842972Z"
+     "iopub.execute_input": "2024-11-04T12:31:17.363822Z",
+     "iopub.status.busy": "2024-11-04T12:31:17.362602Z",
+     "iopub.status.idle": "2024-11-04T12:31:19.767092Z",
+     "shell.execute_reply": "2024-11-04T12:31:19.766259Z"
     }
    },
    "outputs": [
@@ -612,9 +612,9 @@
      "output_type": "stream",
      "text": [
       "          Const           gre       gpa\n",
-      "Const  0.441247 -8.654726e-05 -0.112090\n",
-      "gre   -0.000087  4.340024e-07 -0.000050\n",
-      "gpa   -0.112090 -5.041656e-05  0.041426\n"
+      "Const  0.401108 -6.675251e-05 -0.104058\n",
+      "gre   -0.000067  4.266221e-07 -0.000056\n",
+      "gpa   -0.104058 -5.556570e-05  0.040157\n"
      ]
     }
    ],
@@ -632,10 +632,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:25.847883Z",
-     "iopub.status.busy": "2024-11-04T11:35:25.846856Z",
-     "iopub.status.idle": "2024-11-04T11:35:25.855223Z",
-     "shell.execute_reply": "2024-11-04T11:35:25.854475Z"
+     "iopub.execute_input": "2024-11-04T12:31:19.771418Z",
+     "iopub.status.busy": "2024-11-04T12:31:19.770153Z",
+     "iopub.status.idle": "2024-11-04T12:31:19.782900Z",
+     "shell.execute_reply": "2024-11-04T12:31:19.778223Z"
     }
    },
    "outputs": [
@@ -643,14 +643,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Const    0.664264\n",
-      "gre      0.000659\n",
-      "gpa      0.203533\n",
+      "Const    0.633331\n",
+      "gre      0.000653\n",
+      "gpa      0.200393\n",
       "dtype: float64\n",
       "T-stats\n",
-      "Const   -4.521599\n",
-      "gre      2.493269\n",
-      "gpa      2.233426\n",
+      "Const   -4.742445\n",
+      "gre      2.514742\n",
+      "gpa      2.268421\n",
       "dtype: float64\n"
      ]
     }
@@ -667,10 +667,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:25.859341Z",
-     "iopub.status.busy": "2024-11-04T11:35:25.858297Z",
-     "iopub.status.idle": "2024-11-04T11:35:28.334175Z",
-     "shell.execute_reply": "2024-11-04T11:35:28.333294Z"
+     "iopub.execute_input": "2024-11-04T12:31:19.786974Z",
+     "iopub.status.busy": "2024-11-04T12:31:19.785938Z",
+     "iopub.status.idle": "2024-11-04T12:31:22.177071Z",
+     "shell.execute_reply": "2024-11-04T12:31:22.176276Z"
     }
    },
    "outputs": [
@@ -679,8 +679,8 @@
      "output_type": "stream",
      "text": [
       "          Const       gre       gpa\n",
-      "Lower -4.102216  0.000379  0.056749\n",
-      "Upper -1.810706  0.002791  0.817384\n"
+      "Lower -4.137307  0.000301  0.063763\n",
+      "Upper -1.817368  0.003014  0.827887\n"
      ]
     }
    ],
@@ -709,10 +709,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:28.337505Z",
-     "iopub.status.busy": "2024-11-04T11:35:28.337163Z",
-     "iopub.status.idle": "2024-11-04T11:35:28.342207Z",
-     "shell.execute_reply": "2024-11-04T11:35:28.341472Z"
+     "iopub.execute_input": "2024-11-04T12:31:22.180340Z",
+     "iopub.status.busy": "2024-11-04T12:31:22.180049Z",
+     "iopub.status.idle": "2024-11-04T12:31:22.185111Z",
+     "shell.execute_reply": "2024-11-04T12:31:22.184252Z"
     }
    },
    "outputs": [],
@@ -726,10 +726,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:28.346266Z",
-     "iopub.status.busy": "2024-11-04T11:35:28.344991Z",
-     "iopub.status.idle": "2024-11-04T11:35:30.534149Z",
-     "shell.execute_reply": "2024-11-04T11:35:30.533443Z"
+     "iopub.execute_input": "2024-11-04T12:31:22.188657Z",
+     "iopub.status.busy": "2024-11-04T12:31:22.188344Z",
+     "iopub.status.idle": "2024-11-04T12:31:24.484579Z",
+     "shell.execute_reply": "2024-11-04T12:31:24.483834Z"
     }
    },
    "outputs": [
@@ -738,9 +738,9 @@
      "output_type": "stream",
      "text": [
       "          Const           gre       gpa\n",
-      "Const  0.441247 -8.654726e-05 -0.112090\n",
-      "gre   -0.000087  4.340024e-07 -0.000050\n",
-      "gpa   -0.112090 -5.041656e-05  0.041426\n"
+      "Const  0.401108 -6.675251e-05 -0.104058\n",
+      "gre   -0.000067  4.266221e-07 -0.000056\n",
+      "gpa   -0.104058 -5.556570e-05  0.040157\n"
      ]
     }
    ],
@@ -766,10 +766,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:30.538208Z",
-     "iopub.status.busy": "2024-11-04T11:35:30.537187Z",
-     "iopub.status.idle": "2024-11-04T11:36:24.269043Z",
-     "shell.execute_reply": "2024-11-04T11:36:24.268330Z"
+     "iopub.execute_input": "2024-11-04T12:31:24.487788Z",
+     "iopub.status.busy": "2024-11-04T12:31:24.487505Z",
+     "iopub.status.idle": "2024-11-04T12:32:17.944723Z",
+     "shell.execute_reply": "2024-11-04T12:32:17.943993Z"
     }
    },
    "outputs": [
diff --git a/devel/bootstrap/confidence-intervals.html b/devel/bootstrap/confidence-intervals.html
index 7a7fbd9453..60b5b72c4b 100644
--- a/devel/bootstrap/confidence-intervals.html
+++ b/devel/bootstrap/confidence-intervals.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Confidence Intervals - arch v7.1.1 (+16)</title>
+        <title>Confidence Intervals - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/arch.bootstrap.CircularBlockBootstrap.html b/devel/bootstrap/generated/arch.bootstrap.CircularBlockBootstrap.html
index dc78393a7b..0cd83f8b93 100644
--- a/devel/bootstrap/generated/arch.bootstrap.CircularBlockBootstrap.html
+++ b/devel/bootstrap/generated/arch.bootstrap.CircularBlockBootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/arch.bootstrap.IIDBootstrap.html b/devel/bootstrap/generated/arch.bootstrap.IIDBootstrap.html
index a2352455db..495311ffbd 100644
--- a/devel/bootstrap/generated/arch.bootstrap.IIDBootstrap.html
+++ b/devel/bootstrap/generated/arch.bootstrap.IIDBootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/arch.bootstrap.IndependentSamplesBootstrap.html b/devel/bootstrap/generated/arch.bootstrap.IndependentSamplesBootstrap.html
index cab13b557f..44c248b491 100644
--- a/devel/bootstrap/generated/arch.bootstrap.IndependentSamplesBootstrap.html
+++ b/devel/bootstrap/generated/arch.bootstrap.IndependentSamplesBootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/arch.bootstrap.MovingBlockBootstrap.html b/devel/bootstrap/generated/arch.bootstrap.MovingBlockBootstrap.html
index b71520ebda..1b385765e0 100644
--- a/devel/bootstrap/generated/arch.bootstrap.MovingBlockBootstrap.html
+++ b/devel/bootstrap/generated/arch.bootstrap.MovingBlockBootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/arch.bootstrap.StationaryBootstrap.html b/devel/bootstrap/generated/arch.bootstrap.StationaryBootstrap.html
index c07d828a03..ef40baf1b9 100644
--- a/devel/bootstrap/generated/arch.bootstrap.StationaryBootstrap.html
+++ b/devel/bootstrap/generated/arch.bootstrap.StationaryBootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/arch.bootstrap.optimal_block_length.html b/devel/bootstrap/generated/arch.bootstrap.optimal_block_length.html
index b16c9a5054..e73701aa6f 100644
--- a/devel/bootstrap/generated/arch.bootstrap.optimal_block_length.html
+++ b/devel/bootstrap/generated/arch.bootstrap.optimal_block_length.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.optimal_block_length - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.optimal_block_length - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.apply.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.apply.html
index 9be31da61e..b58752cf0a 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.apply.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.apply.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.apply - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.apply - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.bootstrap.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.bootstrap.html
index 5a906f5f8c..a6de788670 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.bootstrap.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.bootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.bootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.bootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.clone.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.clone.html
index 0f9c8241d1..6450f3de08 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.clone.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.clone.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.clone - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.clone - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.conf_int.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.conf_int.html
index 24b0a3143f..aa33468cee 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.conf_int.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.conf_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.conf_int - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.conf_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.cov.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.cov.html
index eb335ad3ab..ba7829a65d 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.cov.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.cov - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.generator.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.generator.html
index 47710e25c9..4e67246a53 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.generator.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.generator - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.get_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.get_state.html
index f7016b4eb0..b202a6a5e7 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.get_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.get_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.get_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.get_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.index.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.index.html
index 1736297500..8bcc2b60ae 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.index.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.index - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.index - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.random_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.random_state.html
index dbdae31ec3..715ff47aa1 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.random_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.reset.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.reset.html
index e23fc63559..e4be530fe0 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.reset.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.seed.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.seed.html
index ab7a008459..7e20920800 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.seed.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.set_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.set_state.html
index 1fba3ff07a..1ee166667c 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.set_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.set_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.set_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.set_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.state.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.state.html
index 6e18fc4af6..1972de1c85 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.update_indices.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.update_indices.html
index 150bc81517..5f329f7f69 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.update_indices.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.update_indices.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.update_indices - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.update_indices - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.var.html b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.var.html
index 39486ee331..1a40720bc9 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.var.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.var.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.CircularBlockBootstrap.var - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.CircularBlockBootstrap.var - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.apply.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.apply.html
index cdf44f954d..66dfe2e433 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.apply.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.apply.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.apply - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.apply - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.bootstrap.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.bootstrap.html
index 016667cc1a..52140187bb 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.bootstrap.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.bootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.bootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.bootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.clone.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.clone.html
index 7ecef6b78b..63cb5a1c55 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.clone.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.clone.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.clone - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.clone - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.conf_int.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.conf_int.html
index c3d4f4f794..692d61f2f9 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.conf_int.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.conf_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.conf_int - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.conf_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.cov.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.cov.html
index f1d9866a9d..3d2775efe1 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.cov.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.cov - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.generator.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.generator.html
index 0ef7093618..b968bae7e2 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.generator.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.generator - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.get_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.get_state.html
index a672108c73..178544d0e5 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.get_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.get_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.get_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.get_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.index.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.index.html
index b561376111..c194e76470 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.index.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.index - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.index - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.random_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.random_state.html
index a4dbf7fc7a..a4219417f0 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.random_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.reset.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.reset.html
index e5e9c41d67..a532fb4932 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.reset.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.seed.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.seed.html
index 279a31d14f..29cb05e558 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.seed.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.set_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.set_state.html
index 87d4f8ac47..fd5603daf0 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.set_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.set_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.set_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.set_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.state.html
index 64649cb928..cc2b45fc30 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.update_indices.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.update_indices.html
index 385618431f..71986e410b 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.update_indices.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.update_indices.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.update_indices - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.update_indices - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.var.html b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.var.html
index cf9f35174a..60027d8948 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.var.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.var.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IIDBootstrap.var - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IIDBootstrap.var - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.apply.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.apply.html
index ff720acae7..0f57447f1c 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.apply.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.apply.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.apply - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.apply - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.bootstrap.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.bootstrap.html
index 76794d6d39..94f18fc33a 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.bootstrap.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.bootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.bootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.bootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.clone.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.clone.html
index 78d3bb2cf8..c28703444b 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.clone.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.clone.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.clone - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.clone - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.conf_int.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.conf_int.html
index 598e10abd5..bdd69fa873 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.conf_int.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.conf_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.conf_int - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.conf_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.cov.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.cov.html
index cd0965f7a1..343dd8f9b3 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.cov.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.cov - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.generator.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.generator.html
index 7364594a89..5c3fcfde03 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.generator.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.generator - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.get_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.get_state.html
index c85b64c362..532fc852ff 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.get_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.get_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.get_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.get_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.index.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.index.html
index b0c9700562..6137e1eae7 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.index.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.index - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.index - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.random_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.random_state.html
index 77d0424813..17affdc8de 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.random_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.reset.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.reset.html
index 7dfdaa4abb..36232d2184 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.reset.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.seed.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.seed.html
index 4bc5d9fa1f..d178aa2610 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.seed.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.set_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.set_state.html
index 210d81f5b3..33c2e844f2 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.set_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.set_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.set_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.set_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.state.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.state.html
index 9989eaeb50..bff6438da9 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.update_indices.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.update_indices.html
index baa825ad7a..a7f1c6dd27 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.update_indices.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.update_indices.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.update_indices - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.update_indices - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.var.html b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.var.html
index 60abe5062b..466a39beed 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.var.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.var.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.IndependentSamplesBootstrap.var - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.IndependentSamplesBootstrap.var - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.apply.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.apply.html
index c1c47832ef..33b2bf1a49 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.apply.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.apply.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.apply - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.apply - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.bootstrap.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.bootstrap.html
index 46ce054ee3..c52c5530a3 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.bootstrap.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.bootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.bootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.bootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.clone.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.clone.html
index 19d356639f..75ea01a57b 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.clone.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.clone.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.clone - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.clone - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.conf_int.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.conf_int.html
index 09f864514b..5db10257e6 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.conf_int.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.conf_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.conf_int - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.conf_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.cov.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.cov.html
index a6fab6d2cb..523642d772 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.cov.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.cov - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.generator.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.generator.html
index 589f1d950c..8ca3a78a50 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.generator.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.generator - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.get_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.get_state.html
index 9bb64e587f..91802a2d34 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.get_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.get_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.get_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.get_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.index.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.index.html
index 5b4d8759f4..0c5da1c11d 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.index.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.index - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.index - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.random_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.random_state.html
index 4004fe4d54..a142863cb1 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.random_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.reset.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.reset.html
index e68059820b..b0f746ea83 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.reset.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.seed.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.seed.html
index 75e350045d..bb5c9ecf40 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.seed.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.set_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.set_state.html
index 482bbf1468..6aa4f2f23f 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.set_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.set_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.set_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.set_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.state.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.state.html
index 18189a1164..6b266b4360 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.update_indices.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.update_indices.html
index 4e7319d79e..6ceeab9527 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.update_indices.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.update_indices.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.update_indices - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.update_indices - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.var.html b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.var.html
index 7d2c830d0c..338773bc9e 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.var.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.var.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MovingBlockBootstrap.var - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MovingBlockBootstrap.var - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.apply.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.apply.html
index 0397e9f9f2..32cb6e598b 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.apply.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.apply.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.apply - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.apply - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.bootstrap.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.bootstrap.html
index 094d94e59a..95ff07292c 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.bootstrap.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.bootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.bootstrap - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.bootstrap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.clone.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.clone.html
index 6407a1701c..8aeecc83ef 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.clone.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.clone.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.clone - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.clone - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.conf_int.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.conf_int.html
index b3103d63fe..188ee7e8dc 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.conf_int.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.conf_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.conf_int - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.conf_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.cov.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.cov.html
index 25097fc746..e17ce55dd8 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.cov.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.cov - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.generator.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.generator.html
index 9831167823..8596eacc9b 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.generator.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.generator - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.get_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.get_state.html
index 112da5e1d3..0f94847c3e 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.get_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.get_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.get_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.get_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.index.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.index.html
index 25f79c6da7..d433d5ff5e 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.index.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.index - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.index - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.random_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.random_state.html
index 32ec1aef66..098d4579c8 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.random_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.reset.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.reset.html
index 3fff89a947..866311f262 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.reset.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.seed.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.seed.html
index 89fb84b868..b39917942e 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.seed.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.set_state.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.set_state.html
index ce92aca8ea..06dd7b9014 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.set_state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.set_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.set_state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.set_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.state.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.state.html
index daa3643870..bf2ea2904f 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.state.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.state - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.update_indices.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.update_indices.html
index 1613bd5b88..75e802860b 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.update_indices.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.update_indices.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.update_indices - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.update_indices - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.var.html b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.var.html
index b3768cf665..f481cdfe06 100644
--- a/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.var.html
+++ b/devel/bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.var.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StationaryBootstrap.var - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StationaryBootstrap.var - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/iid-bootstraps.html b/devel/bootstrap/iid-bootstraps.html
index 5671a653f4..e85b7b59ae 100644
--- a/devel/bootstrap/iid-bootstraps.html
+++ b/devel/bootstrap/iid-bootstraps.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Independent, Identical Distributed Data (i.i.d.) - arch v7.1.1 (+16)</title>
+        <title>Independent, Identical Distributed Data (i.i.d.) - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/low-level-interface.html b/devel/bootstrap/low-level-interface.html
index a2f6116bda..4c614bdc4d 100644
--- a/devel/bootstrap/low-level-interface.html
+++ b/devel/bootstrap/low-level-interface.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Low-level Interfaces - arch v7.1.1 (+16)</title>
+        <title>Low-level Interfaces - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/parameter-covariance-estimation.html b/devel/bootstrap/parameter-covariance-estimation.html
index 5736aa87bc..26a30e5a4d 100644
--- a/devel/bootstrap/parameter-covariance-estimation.html
+++ b/devel/bootstrap/parameter-covariance-estimation.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Covariance Estimation - arch v7.1.1 (+16)</title>
+        <title>Covariance Estimation - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/semiparametric-parametric-bootstrap.html b/devel/bootstrap/semiparametric-parametric-bootstrap.html
index 678084bdfa..112eac99bc 100644
--- a/devel/bootstrap/semiparametric-parametric-bootstrap.html
+++ b/devel/bootstrap/semiparametric-parametric-bootstrap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Semiparametric Bootstraps - arch v7.1.1 (+16)</title>
+        <title>Semiparametric Bootstraps - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/bootstrap/timeseries-bootstraps.html b/devel/bootstrap/timeseries-bootstraps.html
index 587a2d6f02..033352ba65 100644
--- a/devel/bootstrap/timeseries-bootstraps.html
+++ b/devel/bootstrap/timeseries-bootstraps.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Time-series Bootstraps - arch v7.1.1 (+16)</title>
+        <title>Time-series Bootstraps - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes.html b/devel/changes.html
index da81893a53..69e9d4f777 100644
--- a/devel/changes.html
+++ b/devel/changes.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Change Logs - arch v7.1.1 (+16)</title>
+        <title>Change Logs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes/1.0.html b/devel/changes/1.0.html
index 5ba363c411..b4530354d1 100644
--- a/devel/changes/1.0.html
+++ b/devel/changes/1.0.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Version 1 - arch v7.1.1 (+16)</title>
+        <title>Version 1 - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes/2.0.html b/devel/changes/2.0.html
index acbac20b33..927b811b1b 100644
--- a/devel/changes/2.0.html
+++ b/devel/changes/2.0.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Version 2 - arch v7.1.1 (+16)</title>
+        <title>Version 2 - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes/3.0.html b/devel/changes/3.0.html
index 95f9841d8c..af15343a90 100644
--- a/devel/changes/3.0.html
+++ b/devel/changes/3.0.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Version 3 - arch v7.1.1 (+16)</title>
+        <title>Version 3 - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes/4.0.html b/devel/changes/4.0.html
index 8899c49570..538fad7d62 100644
--- a/devel/changes/4.0.html
+++ b/devel/changes/4.0.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Version 4 - arch v7.1.1 (+16)</title>
+        <title>Version 4 - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes/5.0.html b/devel/changes/5.0.html
index 5e74644441..ad66c93f52 100644
--- a/devel/changes/5.0.html
+++ b/devel/changes/5.0.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Version 5 - arch v7.1.1 (+16)</title>
+        <title>Version 5 - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes/6.0.html b/devel/changes/6.0.html
index 52610a9371..ca2195847e 100644
--- a/devel/changes/6.0.html
+++ b/devel/changes/6.0.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Version 6 - arch v7.1.1 (+16)</title>
+        <title>Version 6 - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/changes/7.0.html b/devel/changes/7.0.html
index cd2655ce2c..08ac0d3493 100644
--- a/devel/changes/7.0.html
+++ b/devel/changes/7.0.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Version 7 - arch v7.1.1 (+16)</title>
+        <title>Version 7 - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/covariance.html b/devel/covariance/covariance.html
index 9828acf40a..206bae6221 100644
--- a/devel/covariance/covariance.html
+++ b/devel/covariance/covariance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Long-run Covariance Estimation - arch v7.1.1 (+16)</title>
+        <title>Long-run Covariance Estimation - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.Andrews.html b/devel/covariance/generated/arch.covariance.kernel.Andrews.html
index 5ef7f9ad1a..51de80d5d5 100644
--- a/devel/covariance/generated/arch.covariance.kernel.Andrews.html
+++ b/devel/covariance/generated/arch.covariance.kernel.Andrews.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.Bartlett.html b/devel/covariance/generated/arch.covariance.kernel.Bartlett.html
index d20a939a33..055f9f34d3 100644
--- a/devel/covariance/generated/arch.covariance.kernel.Bartlett.html
+++ b/devel/covariance/generated/arch.covariance.kernel.Bartlett.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimate.html b/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimate.html
index c473338f89..8db6db2a73 100644
--- a/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimate.html
+++ b/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimator.html b/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimator.html
index 2eed0b4eda..1804667d1a 100644
--- a/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimator.html
+++ b/devel/covariance/generated/arch.covariance.kernel.CovarianceEstimator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.Gallant.html b/devel/covariance/generated/arch.covariance.kernel.Gallant.html
index 61003e6798..162389cd95 100644
--- a/devel/covariance/generated/arch.covariance.kernel.Gallant.html
+++ b/devel/covariance/generated/arch.covariance.kernel.Gallant.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.NeweyWest.html b/devel/covariance/generated/arch.covariance.kernel.NeweyWest.html
index cf3c94d6b7..fc9f4df5a3 100644
--- a/devel/covariance/generated/arch.covariance.kernel.NeweyWest.html
+++ b/devel/covariance/generated/arch.covariance.kernel.NeweyWest.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.Parzen.html b/devel/covariance/generated/arch.covariance.kernel.Parzen.html
index 5050156158..c30e6be878 100644
--- a/devel/covariance/generated/arch.covariance.kernel.Parzen.html
+++ b/devel/covariance/generated/arch.covariance.kernel.Parzen.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.ParzenCauchy.html b/devel/covariance/generated/arch.covariance.kernel.ParzenCauchy.html
index 73f73a0a60..cb6a34e503 100644
--- a/devel/covariance/generated/arch.covariance.kernel.ParzenCauchy.html
+++ b/devel/covariance/generated/arch.covariance.kernel.ParzenCauchy.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.ParzenGeometric.html b/devel/covariance/generated/arch.covariance.kernel.ParzenGeometric.html
index beb047919d..c4fed7f002 100644
--- a/devel/covariance/generated/arch.covariance.kernel.ParzenGeometric.html
+++ b/devel/covariance/generated/arch.covariance.kernel.ParzenGeometric.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.ParzenRiesz.html b/devel/covariance/generated/arch.covariance.kernel.ParzenRiesz.html
index 7eaf1d7bdb..4f98e06dbe 100644
--- a/devel/covariance/generated/arch.covariance.kernel.ParzenRiesz.html
+++ b/devel/covariance/generated/arch.covariance.kernel.ParzenRiesz.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.QuadraticSpectral.html b/devel/covariance/generated/arch.covariance.kernel.QuadraticSpectral.html
index 55af91bd77..cbc139a248 100644
--- a/devel/covariance/generated/arch.covariance.kernel.QuadraticSpectral.html
+++ b/devel/covariance/generated/arch.covariance.kernel.QuadraticSpectral.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.TukeyHamming.html b/devel/covariance/generated/arch.covariance.kernel.TukeyHamming.html
index 1f4644df57..a850a6e058 100644
--- a/devel/covariance/generated/arch.covariance.kernel.TukeyHamming.html
+++ b/devel/covariance/generated/arch.covariance.kernel.TukeyHamming.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.TukeyHanning.html b/devel/covariance/generated/arch.covariance.kernel.TukeyHanning.html
index b52d171a82..7617a94f11 100644
--- a/devel/covariance/generated/arch.covariance.kernel.TukeyHanning.html
+++ b/devel/covariance/generated/arch.covariance.kernel.TukeyHanning.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/arch.covariance.kernel.TukeyParzen.html b/devel/covariance/generated/arch.covariance.kernel.TukeyParzen.html
index 828cde1419..6762965cdd 100644
--- a/devel/covariance/generated/arch.covariance.kernel.TukeyParzen.html
+++ b/devel/covariance/generated/arch.covariance.kernel.TukeyParzen.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth.html
index 7c0dca1c6b..87f227ef3b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth_scale.html
index e2f467c446..d5cba92429 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.centered.html
index 7724bb442a..c23f653be4 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.cov.html
index 810888c152..9e9de8cbab 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.force_int.html
index cc092a30e9..585fa307e8 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_const.html
index 3dbb7e25b3..da9b5a6db0 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_weights.html
index 7edbf23237..44604db417 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.name.html
index 25b6aa3e1e..ac81e66e47 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.opt_bandwidth.html
index b384c8aa5c..059407f671 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.rate.html
index 704afd5258..82e4145575 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Andrews.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Andrews.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Andrews.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth.html
index 4764da61bc..dee5d5f1a2 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth_scale.html
index 5375b2f373..49e8054c2b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.centered.html
index ea60759166..52af02ecc9 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.cov.html
index dad4c67e88..1a661b1af6 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.force_int.html
index 2c47894a0e..9f0fe5fd4a 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_const.html
index 1af1f2a47b..99b00cdf8a 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_weights.html
index e9da11371a..0dae55854e 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.name.html
index 76e82e7922..4d016384f1 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.opt_bandwidth.html
index 701ad90f81..7a488fc179 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.rate.html
index b85cba65ce..4aee3a967b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Bartlett.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Bartlett.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Bartlett.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.long_run.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.long_run.html
index 41ec29d520..c644027b3b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.long_run.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.long_run.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimate.long_run - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimate.long_run - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided.html
index 9d71015b81..df5f651eab 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimate.one_sided - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimate.one_sided - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided_strict.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided_strict.html
index a2fb04c85e..cdeb419a34 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided_strict.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided_strict.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimate.one_sided_strict - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimate.one_sided_strict - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.short_run.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.short_run.html
index 9219951dc5..953cd2bff2 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.short_run.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.short_run.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimate.short_run - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimate.short_run - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth.html
index 35800165e5..72f88d1a85 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth_scale.html
index baa3c4ecf6..1a555a04d8 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.centered.html
index d012b334d8..299b5a2497 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.cov.html
index 394527161f..3b0c821dd5 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.force_int.html
index 4c779a21bb..47860992a4 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_const.html
index 2ea1c8cc03..5f17ce929b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_weights.html
index 2c5d0c7091..45698402e6 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.name.html
index 591ed237cd..ee3a31d48f 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.opt_bandwidth.html
index c4f06ae450..79c213d2ff 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.rate.html
index 2f8ce16282..b6e42c7f18 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.CovarianceEstimator.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.CovarianceEstimator.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth.html
index 410e1ac12d..d30acd4de7 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth_scale.html
index 88ad5247a7..f37159d4fc 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.centered.html
index a8ef2f207f..3be7f6a797 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.cov.html
index ae31487739..6d08110e37 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.force_int.html
index 8b34bd0d93..bd050f74f0 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_const.html
index 69b265d93c..43e48fc636 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_weights.html
index ca6fdd1174..e4a1f29b5b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.name.html
index b6fd33be20..f939fb3312 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.opt_bandwidth.html
index 682fa8dc2d..ef2dd74d95 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.rate.html
index 97ca431a84..ad8543eaf8 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Gallant.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Gallant.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Gallant.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth.html
index cafd41fcac..a0567f7f79 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth_scale.html
index ec2cc07603..11278ab88d 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.centered.html
index 00b2c90363..5ba44e058b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.cov.html
index 98f04e872e..080902b957 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.force_int.html
index 26565a31dc..f5943e13a0 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_const.html
index aad8f1a32b..4b4f53ac83 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_weights.html
index 1976c25dcb..ef5f16ca2d 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.name.html
index 8014fd04bb..be56942646 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.opt_bandwidth.html
index 2b34aec67a..f3d84a86d8 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.rate.html
index b3f5c06f0d..d6254caa69 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.NeweyWest.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.NeweyWest.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.NeweyWest.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth.html
index 6967745b00..3cc9b6a461 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth_scale.html
index b909a9a000..14f4e59c8e 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.centered.html
index 106b7a1b71..9ed5727bc6 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.cov.html
index cc240c37f6..437607da63 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.force_int.html
index 4a367c1ea7..9ecee6f33a 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_const.html
index ee9979aa11..34386d96aa 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_weights.html
index 14fa029438..3cfde103f1 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.name.html
index 42657bda4f..d051d37192 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.opt_bandwidth.html
index 0941ba39bb..cfcfae5620 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.rate.html
index 18456870c3..e11b12a7cd 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.Parzen.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.Parzen.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.Parzen.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth.html
index 8039a2ab74..c239595c3d 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth_scale.html
index 58cd712ed4..1b1b90e42d 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.centered.html
index 70a6160388..4280650f24 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.cov.html
index d9f78fab11..67786e911a 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.force_int.html
index 7f6d47b71a..8e66ed88d0 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_const.html
index 5d7f1976ca..0734f2a1fb 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_weights.html
index ea6c141953..d59d9e5a8b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.name.html
index 4b14fca6f2..c5463eee81 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.opt_bandwidth.html
index 0ef80e8717..e737822bb9 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.rate.html
index 7d9e029301..d230acb754 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenCauchy.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenCauchy.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth.html
index 2a05f82fbe..6659195205 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth_scale.html
index 3d9d042ae0..104b2097f4 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.centered.html
index c29fbed6ab..6a21c78ad5 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.cov.html
index 63b7c49e64..558e05da57 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.force_int.html
index 7b95e358de..872039c73a 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_const.html
index b968164270..2a251555b4 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_weights.html
index b2a4567324..3e251a0404 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.name.html
index dc0a25ba96..8b7bf5fa5d 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.opt_bandwidth.html
index 6658c5694a..7b8c32ee37 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.rate.html
index add867a192..d741a3c960 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenGeometric.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenGeometric.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth.html
index aeaf0cd7b6..7ee8c7958b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth_scale.html
index 5cfd11c3d5..418a63f865 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.centered.html
index 5c4baa9de8..62801fa831 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.cov.html
index 89de70e82e..2f7a73db1b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.force_int.html
index e9abba971c..f1b1da6cd6 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_const.html
index ed10867720..adcdb5afc6 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_weights.html
index 3f8074c229..9defeb5ad9 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.name.html
index 0825660aca..b268cd0268 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.opt_bandwidth.html
index 83ef239fcc..0debf8cbbf 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.rate.html
index d130675d89..d34171ba89 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.ParzenRiesz.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.ParzenRiesz.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth.html
index 5351094bc0..a09745af64 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth_scale.html
index f34eec4a5a..6ba1c03aa8 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.centered.html
index 4cdadc7312..6ea434bce1 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.cov.html
index 243b6206b6..5ec853304b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.force_int.html
index 4cc3a60c55..2cbde14b74 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_const.html
index 3853aed1f0..1bca250eb4 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_weights.html
index 0d45a31e39..15a14dd3b9 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.name.html
index f6ba6d2e6c..1c5265bd18 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.opt_bandwidth.html
index f6d61f694c..221b2050cb 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.rate.html
index edecfaa843..132107b0f9 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.QuadraticSpectral.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.QuadraticSpectral.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth.html
index 5d428743fd..3d1639c23e 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth_scale.html
index f03a88f8dd..a14cbe6dad 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.centered.html
index 6d3ab2cf17..c15635540b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.cov.html
index b21ea01c22..510d744ebf 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.force_int.html
index a87bc6bd60..b941492272 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_const.html
index 19bac9cd0c..57771b43a9 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_weights.html
index ca28c53fb0..4e64d06323 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.name.html
index d7eeec977c..a11d63922e 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.opt_bandwidth.html
index 8d83ae605d..5b8dba831a 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.rate.html
index a7a1197541..7f1a899973 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHamming.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHamming.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHamming.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth.html
index 5f9e316ea2..4296db93e1 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth_scale.html
index 2bc362520a..17732756cb 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.centered.html
index 6f8bc46b32..6ae6ad5193 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.cov.html
index 53f97941fd..8ee08d61e4 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.force_int.html
index 4d5fb4d10b..2faeb04962 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_const.html
index 063e94505a..2fa39bb8ea 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_weights.html
index 0ca41e0b3d..822339d74c 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.name.html
index be8d1cc66f..5efbeb5317 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.opt_bandwidth.html
index 32245aba68..51df157dad 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.rate.html
index 7933b582e7..7fff138445 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyHanning.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyHanning.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyHanning.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth.html
index ac0d54d61c..6879ff553d 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth_scale.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth_scale.html
index da31028564..162a21e6ba 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth_scale.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth_scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.bandwidth_scale - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.bandwidth_scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.centered.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.centered.html
index a5f56d9b44..84f14e2448 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.centered.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.centered.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.centered - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.centered - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.cov.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.cov.html
index 085a178be7..1ab2ecbe99 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.cov.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.cov - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.force_int.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.force_int.html
index 884dd5ec05..13d1fa52d6 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.force_int.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.force_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.force_int - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.force_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_const.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_const.html
index 5fc4daceeb..425c48a864 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_const.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_const.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.kernel_const - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.kernel_const - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_weights.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_weights.html
index 011045531f..d82322f2d7 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_weights.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_weights.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.kernel_weights - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.kernel_weights - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.name.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.name.html
index 449fc987ad..570dd5efac 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.name.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.name - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.opt_bandwidth.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.opt_bandwidth.html
index 0a6df31de5..030187fa0b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.opt_bandwidth.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.opt_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.opt_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.opt_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.rate.html b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.rate.html
index f886781bd5..1c4bbb645b 100644
--- a/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.rate.html
+++ b/devel/covariance/generated/generated/arch.covariance.kernel.TukeyParzen.rate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.covariance.kernel.TukeyParzen.rate - arch v7.1.1 (+16)</title>
+        <title>arch.covariance.kernel.TukeyParzen.rate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/genindex.html b/devel/genindex.html
index 8f904b1417..675333c9e3 100644
--- a/devel/genindex.html
+++ b/devel/genindex.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>None - arch v7.1.1 (+16)</title>
+        <title>None - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/index.html b/devel/index.html
index de7905d075..d59df45b4f 100644
--- a/devel/index.html
+++ b/devel/index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch v7.1.1 (+16)</title>
+        <title>arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="#" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="#" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -197,10 +197,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="#" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="#" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/background.html b/devel/multiple-comparison/background.html
index 69b319ef36..b4a695504e 100644
--- a/devel/multiple-comparison/background.html
+++ b/devel/multiple-comparison/background.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>References - arch v7.1.1 (+16)</title>
+        <title>References - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/arch.bootstrap.MCS.html b/devel/multiple-comparison/generated/arch.bootstrap.MCS.html
index bfdec005c5..ce9d9d6f53 100644
--- a/devel/multiple-comparison/generated/arch.bootstrap.MCS.html
+++ b/devel/multiple-comparison/generated/arch.bootstrap.MCS.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MCS - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MCS - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/arch.bootstrap.SPA.html b/devel/multiple-comparison/generated/arch.bootstrap.SPA.html
index 561cd4365d..45c729b647 100644
--- a/devel/multiple-comparison/generated/arch.bootstrap.SPA.html
+++ b/devel/multiple-comparison/generated/arch.bootstrap.SPA.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/arch.bootstrap.StepM.html b/devel/multiple-comparison/generated/arch.bootstrap.StepM.html
index 56c1c4b443..c2c1d435b8 100644
--- a/devel/multiple-comparison/generated/arch.bootstrap.StepM.html
+++ b/devel/multiple-comparison/generated/arch.bootstrap.StepM.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StepM - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StepM - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.compute.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.compute.html
index 9bed21bd79..1d84c1b74f 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.compute.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.compute.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MCS.compute - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MCS.compute - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.excluded.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.excluded.html
index 7e9dcf41b9..2860872fec 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.excluded.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.excluded.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MCS.excluded - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MCS.excluded - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.included.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.included.html
index b64bc88357..86ea34b8da 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.included.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.included.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MCS.included - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MCS.included - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.pvalues.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.pvalues.html
index a9b3e0a3a8..e2a2b32c2a 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.pvalues.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.pvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MCS.pvalues - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MCS.pvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.reset.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.reset.html
index 936f0bf3fe..730403bb4e 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.reset.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MCS.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MCS.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.seed.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.seed.html
index bedb4ff94e..bb111e872a 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.seed.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.MCS.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.MCS.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.MCS.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.better_models.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.better_models.html
index 9736f2b834..758e3fc0eb 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.better_models.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.better_models.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA.better_models - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA.better_models - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.compute.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.compute.html
index b7576c8c9d..835c6f655b 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.compute.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.compute.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA.compute - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA.compute - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.critical_values.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.critical_values.html
index 0c4eb7f375..1bddd534b2 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.critical_values.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.pvalues.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.pvalues.html
index 21727cf225..46c62596f2 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.pvalues.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.pvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA.pvalues - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA.pvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.reset.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.reset.html
index 572f567df2..5a997a100a 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.reset.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.seed.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.seed.html
index 3f99fa78c0..6858e53a55 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.seed.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.subset.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.subset.html
index 32fa44dced..56cbbd31fd 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.subset.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.SPA.subset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.SPA.subset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.SPA.subset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.compute.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.compute.html
index 7736e2323d..be3cee0745 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.compute.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.compute.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StepM.compute - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StepM.compute - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.reset.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.reset.html
index 963fb40e3a..e603882c73 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.reset.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.reset.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StepM.reset - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StepM.reset - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.seed.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.seed.html
index 7dc4175c9d..4a6db711b2 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.seed.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.seed.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StepM.seed - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StepM.seed - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.superior_models.html b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.superior_models.html
index ebb902e8a2..842d3f5bba 100644
--- a/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.superior_models.html
+++ b/devel/multiple-comparison/generated/generated/arch.bootstrap.StepM.superior_models.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.bootstrap.StepM.superior_models - arch v7.1.1 (+16)</title>
+        <title>arch.bootstrap.StepM.superior_models - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/multiple-comparison-reference.html b/devel/multiple-comparison/multiple-comparison-reference.html
index 733cb0273a..285a15706c 100644
--- a/devel/multiple-comparison/multiple-comparison-reference.html
+++ b/devel/multiple-comparison/multiple-comparison-reference.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Module Reference - arch v7.1.1 (+16)</title>
+        <title>Module Reference - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/multiple-comparison/multiple-comparison_examples.html b/devel/multiple-comparison/multiple-comparison_examples.html
index 5b9917bd79..142b8c5795 100644
--- a/devel/multiple-comparison/multiple-comparison_examples.html
+++ b/devel/multiple-comparison/multiple-comparison_examples.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Multiple Comparisons - arch v7.1.1 (+16)</title>
+        <title>Multiple Comparisons - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
@@ -687,9 +687,9 @@ <h3 id="Study-Design">Study Design<a class="headerlink" href="#Study-Design" tit
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-lower         0.312
-consistent    0.454
-upper         0.457
+lower         0.441
+consistent    0.525
+upper         0.525
 dtype: float64
 </pre></div></div>
 </div>
@@ -804,9 +804,9 @@ <h3 id="Power">Power<a class="headerlink" href="#Power" title="Link to this head
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-lower         0.0
-consistent    0.0
-upper         0.0
+lower         0.107
+consistent    0.161
+upper         0.167
 dtype: float64
 </pre></div></div>
 </div>
@@ -849,7 +849,7 @@ <h2 id="Stepwise-Multiple-Testing-(StepM)">Stepwise Multiple Testing (StepM)<a c
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 Model indices:
-[&#39;171&#39;, &#39;237&#39;, &#39;263&#39;, &#39;264&#39;, &#39;277&#39;, &#39;281&#39;, &#39;294&#39;, &#39;307&#39;, &#39;313&#39;, &#39;324&#39;, &#39;325&#39;, &#39;342&#39;, &#39;345&#39;, &#39;347&#39;, &#39;350&#39;, &#39;356&#39;, &#39;357&#39;, &#39;365&#39;, &#39;367&#39;, &#39;372&#39;, &#39;379&#39;, &#39;385&#39;, &#39;389&#39;, &#39;391&#39;, &#39;392&#39;, &#39;393&#39;, &#39;395&#39;, &#39;396&#39;, &#39;399&#39;, &#39;400&#39;, &#39;401&#39;, &#39;402&#39;, &#39;403&#39;, &#39;404&#39;, &#39;406&#39;, &#39;407&#39;, &#39;409&#39;, &#39;410&#39;, &#39;412&#39;, &#39;413&#39;, &#39;415&#39;, &#39;416&#39;, &#39;417&#39;, &#39;418&#39;, &#39;420&#39;, &#39;421&#39;, &#39;425&#39;, &#39;426&#39;, &#39;427&#39;, &#39;428&#39;, &#39;430&#39;, &#39;431&#39;, &#39;432&#39;, &#39;433&#39;, &#39;434&#39;, &#39;436&#39;, &#39;439&#39;, &#39;440&#39;, &#39;441&#39;, &#39;443&#39;, &#39;445&#39;, &#39;446&#39;, &#39;448&#39;, &#39;449&#39;, &#39;450&#39;, &#39;451&#39;, &#39;452&#39;, &#39;453&#39;, &#39;454&#39;, &#39;455&#39;, &#39;457&#39;, &#39;459&#39;, &#39;461&#39;, &#39;462&#39;, &#39;465&#39;, &#39;466&#39;, &#39;467&#39;, &#39;470&#39;, &#39;471&#39;, &#39;472&#39;, &#39;473&#39;, &#39;474&#39;, &#39;475&#39;, &#39;476&#39;, &#39;478&#39;, &#39;480&#39;, &#39;481&#39;, &#39;484&#39;, &#39;485&#39;, &#39;487&#39;, &#39;488&#39;, &#39;489&#39;, &#39;490&#39;, &#39;491&#39;, &#39;492&#39;, &#39;494&#39;, &#39;495&#39;, &#39;498&#39;, &#39;499&#39;]
+[]
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
@@ -904,35 +904,35 @@ <h2 id="The-Model-Confidence-Set">The Model Confidence Set<a class="headerlink"
 MCS P-values
             Pvalue
 Model name
-model.200    0.003
-model.20     0.003
-model.160    0.024
-model.0      0.042
-model.40     0.042
-model.60     0.044
-model.120    0.056
-model.140    0.099
-model.100    0.116
-model.380    0.144
-model.80     0.195
-model.220    0.334
-model.180    0.448
-model.260    0.685
-model.320    0.692
-model.240    0.692
-model.340    0.698
-model.460    0.886
-model.300    0.908
-model.360    0.974
-model.280    0.974
-model.400    0.975
-model.420    0.975
-model.480    0.975
-model.440    1.000
+model.0      0.000
+model.100    0.004
+model.20     0.006
+model.40     0.013
+model.80     0.014
+model.380    0.034
+model.200    0.061
+model.260    0.070
+model.160    0.131
+model.180    0.315
+model.140    0.410
+model.360    0.410
+model.340    0.416
+model.60     0.416
+model.120    0.455
+model.460    0.455
+model.280    0.460
+model.300    0.460
+model.240    0.460
+model.400    0.576
+model.220    0.755
+model.320    0.755
+model.440    0.755
+model.420    0.755
+model.480    1.000
 Included
-[&#39;100&#39;, &#39;180&#39;, &#39;220&#39;, &#39;240&#39;, &#39;260&#39;, &#39;280&#39;, &#39;300&#39;, &#39;320&#39;, &#39;340&#39;, &#39;360&#39;, &#39;380&#39;, &#39;400&#39;, &#39;420&#39;, &#39;440&#39;, &#39;460&#39;, &#39;480&#39;, &#39;80&#39;]
+[&#39;120&#39;, &#39;140&#39;, &#39;160&#39;, &#39;180&#39;, &#39;220&#39;, &#39;240&#39;, &#39;280&#39;, &#39;300&#39;, &#39;320&#39;, &#39;340&#39;, &#39;360&#39;, &#39;400&#39;, &#39;420&#39;, &#39;440&#39;, &#39;460&#39;, &#39;480&#39;, &#39;60&#39;]
 Excluded
-[&#39;0&#39;, &#39;120&#39;, &#39;140&#39;, &#39;160&#39;, &#39;20&#39;, &#39;200&#39;, &#39;40&#39;, &#39;60&#39;]
+[&#39;0&#39;, &#39;100&#39;, &#39;20&#39;, &#39;200&#39;, &#39;260&#39;, &#39;380&#39;, &#39;40&#39;, &#39;80&#39;]
 </pre></div></div>
 </div>
 <div class="nbinput docutils container">
diff --git a/devel/multiple-comparison/multiple-comparison_examples.ipynb b/devel/multiple-comparison/multiple-comparison_examples.ipynb
index 131bdf4ff4..1e26ca58a7 100644
--- a/devel/multiple-comparison/multiple-comparison_examples.ipynb
+++ b/devel/multiple-comparison/multiple-comparison_examples.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:39.025597Z",
-     "iopub.status.busy": "2024-11-04T11:35:39.023389Z",
-     "iopub.status.idle": "2024-11-04T11:35:40.771494Z",
-     "shell.execute_reply": "2024-11-04T11:35:40.770582Z"
+     "iopub.execute_input": "2024-11-04T12:31:33.762545Z",
+     "iopub.status.busy": "2024-11-04T12:31:33.762255Z",
+     "iopub.status.idle": "2024-11-04T12:31:35.433447Z",
+     "shell.execute_reply": "2024-11-04T12:31:35.432686Z"
     }
    },
    "outputs": [],
@@ -42,10 +42,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:40.776815Z",
-     "iopub.status.busy": "2024-11-04T11:35:40.775417Z",
-     "iopub.status.idle": "2024-11-04T11:35:40.781491Z",
-     "shell.execute_reply": "2024-11-04T11:35:40.780659Z"
+     "iopub.execute_input": "2024-11-04T12:31:35.437864Z",
+     "iopub.status.busy": "2024-11-04T12:31:35.436608Z",
+     "iopub.status.idle": "2024-11-04T12:31:35.442297Z",
+     "shell.execute_reply": "2024-11-04T12:31:35.441585Z"
     }
    },
    "outputs": [],
@@ -112,10 +112,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:40.786232Z",
-     "iopub.status.busy": "2024-11-04T11:35:40.785082Z",
-     "iopub.status.idle": "2024-11-04T11:35:41.098608Z",
-     "shell.execute_reply": "2024-11-04T11:35:41.097681Z"
+     "iopub.execute_input": "2024-11-04T12:31:35.446714Z",
+     "iopub.status.busy": "2024-11-04T12:31:35.445675Z",
+     "iopub.status.idle": "2024-11-04T12:31:35.787565Z",
+     "shell.execute_reply": "2024-11-04T12:31:35.786518Z"
     }
    },
    "outputs": [],
@@ -142,10 +142,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:41.104094Z",
-     "iopub.status.busy": "2024-11-04T11:35:41.102786Z",
-     "iopub.status.idle": "2024-11-04T11:35:41.471557Z",
-     "shell.execute_reply": "2024-11-04T11:35:41.470595Z"
+     "iopub.execute_input": "2024-11-04T12:31:35.792460Z",
+     "iopub.status.busy": "2024-11-04T12:31:35.791258Z",
+     "iopub.status.idle": "2024-11-04T12:31:36.134872Z",
+     "shell.execute_reply": "2024-11-04T12:31:36.133941Z"
     }
    },
    "outputs": [],
@@ -187,19 +187,19 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:41.475075Z",
-     "iopub.status.busy": "2024-11-04T11:35:41.474540Z",
-     "iopub.status.idle": "2024-11-04T11:35:42.327782Z",
-     "shell.execute_reply": "2024-11-04T11:35:42.326855Z"
+     "iopub.execute_input": "2024-11-04T12:31:36.139579Z",
+     "iopub.status.busy": "2024-11-04T12:31:36.138453Z",
+     "iopub.status.idle": "2024-11-04T12:31:37.000621Z",
+     "shell.execute_reply": "2024-11-04T12:31:36.999867Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "lower         0.084\n",
-       "consistent    0.096\n",
-       "upper         0.096\n",
+       "lower         0.573\n",
+       "consistent    0.716\n",
+       "upper         0.733\n",
        "dtype: float64"
       ]
      },
@@ -228,10 +228,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:42.393614Z",
-     "iopub.status.busy": "2024-11-04T11:35:42.393142Z",
-     "iopub.status.idle": "2024-11-04T11:36:24.284174Z",
-     "shell.execute_reply": "2024-11-04T11:36:24.283441Z"
+     "iopub.execute_input": "2024-11-04T12:31:37.036578Z",
+     "iopub.status.busy": "2024-11-04T12:31:37.036155Z",
+     "iopub.status.idle": "2024-11-04T12:32:19.061156Z",
+     "shell.execute_reply": "2024-11-04T12:32:19.060393Z"
     }
    },
    "outputs": [
@@ -353,16 +353,16 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:24.287185Z",
-     "iopub.status.busy": "2024-11-04T11:36:24.286600Z",
-     "iopub.status.idle": "2024-11-04T11:36:24.585339Z",
-     "shell.execute_reply": "2024-11-04T11:36:24.584604Z"
+     "iopub.execute_input": "2024-11-04T12:32:19.063740Z",
+     "iopub.status.busy": "2024-11-04T12:32:19.063497Z",
+     "iopub.status.idle": "2024-11-04T12:32:19.370642Z",
+     "shell.execute_reply": "2024-11-04T12:32:19.369861Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -403,19 +403,19 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:24.588341Z",
-     "iopub.status.busy": "2024-11-04T11:36:24.587660Z",
-     "iopub.status.idle": "2024-11-04T11:36:25.241948Z",
-     "shell.execute_reply": "2024-11-04T11:36:25.241236Z"
+     "iopub.execute_input": "2024-11-04T12:32:19.373634Z",
+     "iopub.status.busy": "2024-11-04T12:32:19.373088Z",
+     "iopub.status.idle": "2024-11-04T12:32:20.023449Z",
+     "shell.execute_reply": "2024-11-04T12:32:20.022673Z"
     }
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "lower         0.070\n",
-       "consistent    0.092\n",
-       "upper         0.092\n",
+       "lower         0.003\n",
+       "consistent    0.003\n",
+       "upper         0.003\n",
        "dtype: float64"
       ]
      },
@@ -453,16 +453,16 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:25.244256Z",
-     "iopub.status.busy": "2024-11-04T11:36:25.243779Z",
-     "iopub.status.idle": "2024-11-04T11:36:25.407238Z",
-     "shell.execute_reply": "2024-11-04T11:36:25.406348Z"
+     "iopub.execute_input": "2024-11-04T12:32:20.026064Z",
+     "iopub.status.busy": "2024-11-04T12:32:20.025548Z",
+     "iopub.status.idle": "2024-11-04T12:32:20.186172Z",
+     "shell.execute_reply": "2024-11-04T12:32:20.185378Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABSEAAAH+CAYAAABjrMtjAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAADCGklEQVR4nOzde3hU1b0//vdM7iQhiRkCGG4SEgxFDgKCelAkykXQqJRSrW1VDlqs9tt6OaL10svXHmu/iudoa0GO9ddatdILgpRbNYpVBDRAkYIlRMEQwRAkNyAkmZnfH7hjMpc9a9/X3vN+PU+fcyR7Zvae2Wtf3vuz1vKFw+EwiIiIiIiIiIiIiCzid3oFiIiIiIiIiIiIyNsYQhIREREREREREZGlGEISERERERERERGRpRhCEhERERERERERkaUYQhIREREREREREZGlGEISERERERERERGRpRhCEhERERERERERkaUYQhIREREREREREZGlGEISERERERERERGRpVKdXgGnHT3ainDY6bWwhs8HFBbmenobiWTGNkjkPLZDIuexHRI5j+2QyHlebYfKdolI+hAyHIanfvxYkmEbiWTGNkjkPLZDIuexHRI5j+2QyHnJ3A7ZHZuIiIiIiIiIiIgsxRCSiIiIiIiIiIiILMUQkoiIiIiIiIiIiCzFEJKIiIiIiIiIiIgsxRCSiIiIiIiIiIiILMUQkoiIiIiIiIiIiCyV6vQKEBERERERERHJKhjsQigUcno1yOV8PqC9vR2dnR0Ih51eG3V+vx8pKeZHhgwhiYiIiIiIiIginDx5HMePt6Crq8PpVSGP+Pxzv2sC7dTUdGRn90VWVrZ572naOxERERERERERecDJk8fR3NyI9PQs5Of3Q0pKCgCf06tFLpeS4kMwKHkZJMIIBoM4caINzc2NAGBaEMkQkoiIiIiIiIioh+PHW5CenoWCgn7w+Rg+kjlSU/3o6pK/EjItDcjIyMKxY0dw/HiLaSEkJ6YhIiIiIiIiIvpCMNiFrq4O9OmTwwCSkpbP50OfPtno6upAMNhlynsyhCQiIiIiIiIi+oIyZt/pLthEyUuZnMascSwZQhIRERERERERRWEVJCU7c9sAx4QkywRDYeyob0ZjWwcCOekYW5yHFD8P4kREREREREREyYYhJFmiqqYRj1ftQ0NbR/e/FeWk466KEagoDTi4ZkREREREREREZDd2xybTVdU0YtGq3b0CSABoaOvAolW7UVXT6NCaERERERERERE55/bbb8HkyROcXg1HMIQkUwVDYTxetU91mcVv1CIYCtu0RkRERERERERkxH/9108wefIEzJp1KTo6OhK/gCgGhpBkqh31zVEVkJE+az2FHfXNNq0REREREREREel14sRxvPHGa/D5fGhpacbf//6mw2tEbsUQkkzVmCCA1LocERERERERkVcFQ2FU1zVh/Z4GVNc1Sdlr8PXX/4aTJ09i3rxvwO/3Y/XqlU6vErkUJ6YhUwVy0k1djoiIiIiIiMiL3DKh6+rVK5GSkoLrr/829u2rQXX1ezh8+BAGDBgIAGhvb8eVV05HQUEBli+PHVDecMO1qKurw6uvrkd2dg4AIBwO469/XYW//nUlamtrEQx2Ydiw4bjmmrm44oqrer3+2WeX4rnnluHJJ5fg8OFD+NOf/oADB/ajvPwr+OUvn0FbWxteeeVP2Lx5E+rqPkFzcxPy8vIxYcJEzJ9/C4qLB0WtU1NTE5Yu/RX+/vc3cfLkCZx1Vgm+9a2bcPx4G/7rv36CH/7wR5g168per9m3rwbPP/8b7NixDc3NzSgsDGDy5Isxf/4tyMvLN/Q9d3V14U9/+gPWrv0r6uo+QVpaKsrKzsbXv349Jk++uNeyoVAIf/3rKqxa9RccPHgQp06dQl5eHkpLR+Laa6/HuHFfjjn55puv409/ehn793+MEyeOIze37xff81dxySWXGlpnrVgJSaYaW5yHogQBY//cDIwtzrNpjYiIiIiIiIjk4pYJXT/++CP8858fYOLE83HGGYWYOXNWdwCmyMzMxCWXVODTT+vxwQf/iHqPmpq9qK3dh4suurhXAPmTnzyAn//8/+LYsSZMmzYDV155NdrbT+LnP/+/+OUv/zvm+rz00vN4/PGfY/DgoZg791qcc86/AQD27/8Yzz67FOnpGbj44qmYN+86nH12OV57bT1uvvkGHD58qNf7nDhxArfffgtefXUFBg8ejK997ToMHToUP/7xD7FxY1XMz3777Y245ZYb8Pbbb2Hs2PGYN+86lJSMwJ//vBzf+c58tLS06PmKu7+PBx9chF/+8r/R0XEKc+Z8DdOmzcS+fTW499478fLLL/RafsmSX+LRRx9GS0sLpk2bgXnzrsO4cRPw8ccf4f33t3Yvt2LFn/DAA4tQV/cJLr74Enz969dj0qQL8PnnjXjrrTd1r69erIQkU6X4fbirYgQWrdodd5k7p5Ygxe+zca2IiIiIiIiI5CA6oeuUkkLH752VrtczZswCAEyZUoHFix/FmjWv4qabbobf7+/++9q1q7F+/druYFCxfv2aL5aZ3f1vr776Cl57bT1mzboS99xzP1JTT8dTnZ2deOCBe/CHP/wel102A2efXd7rvXbs2IZnnvktSkpG9Pr3YcPOwsqV69C3b++Cp23b3scPfvBd/Pa3z2LRoge6//2FF36L/fs/QmXlNbjnnvu7//3yy6/ED37w3ajvobm5Cf/3/z6EvLx8/PrXz3ZXgQLAa6+tx49/fD+efXYJ7rjjHrWvM6516/6Kv/99I8aOHYcnnvgV0tLSAADf/OZNWLDgm3j66ScxefKU7orO1atXIhDoh9/+9g/IzMzs9V4tLV/OwfHqq68gLS0N/9//9yIKCs6I2ia7sRKSTFdRGsCjlaOiKiL752bg0cpRUpWVExEREREREdnJLRO6dnV1Yf36NcjOzsZFF10CAOjTpw8uvvgSfPbZ4V4Vd+PGTUC/fkV4442/oaurq/vfQ6EQ/va3dcjPL8DEied3//uf/7wcWVlZuOuuRd0BJACkpaXhlltuA3A63ItUWXlNVAAJADk5OVEBpLJeZ501vNe6AsCGDWuRlpaGBQsW9vr3CRMm9lpPxbp1f8Xx48fxne/c1iuABIDLLpuBsrKz8frrG6JeJ2rdur8CAL773f/THUACwIABAzBv3jcQDAbxt7+t6/WatLS07hC4p8jvITU1FSkp0TWIRruP66G7EnLnzp146qmnsH37dnR1daGsrAw33ngjZs2aJfT6iooK1NfXqy7zwgsvYMKECb3+7e9//zuWLl2Kf/7zn/D5fPjKV76C7373u7jgggv0bgpZoKI0gCklhdhR34zGtg4EctIxtjjP8ac4RERERERERE5yy4Suf//7m2hqOoYrrrgKGRkZ3f8+c+ZsrF+/FqtXr+wO7Px+P6ZNm4kXX/wd3n337e7Qsrp6K44ebcTcuV/vDhvb29vx0Uf7EAj0w+9//9uoz1VCzE8+2R/1t/Lyr8Rd323b3scf//gSdu/ehaamJgSDwe6/9Qz2jh9vw6FDn2LYsOE444zCqPc555x/w9atm3v92z//uQsAsHv3LtTXH4x6TUdHB5qamtDU1IT8/Py46xjP3r3/QmZmJkaNGh31N2V8x5qaf3X/26WXTseKFX/Et7/9dVx66XSMGzcBo0efg4yM3lWRl102HU8//SS+/e2vY9q0mRg3bjzGjBnb3S3ebrpCyM2bN2PBggVIT0/H7NmzkZ2djQ0bNuCOO+7A4cOHMX/+/ITv8e1vfxutra1R/37s2DG88MILyMvLwznnnNPrbytXrsQ999yDM844A3PmzAEArFmzBjfddBP++7//GzNnztSzOWSRFL8P4wfn9/q3YCjMYJKIiIiIiIiSllsmdF29+vS4jzNnzu717+PHT0S/fkV4++2NaGlp7q68mzlzFl588XdYv35tdwi5bp3SFfvLgrXW1haEw2EcOdKA555bFvfzT548GfVvsUJDAKiqeg0/+tF9yMrqg4kTz8fAgWd2d1Neu3Z1rzEhjx8/DgAoKCiI+V6R3ZaBL7s4/+Uvf4y7vgDQ3n4SQL7qMrGcOHEcRUX9Y/6tsPB0b1JlvQHg+9+/CwMHnok1a17Fb3/7LH7722eRnp6BiorLcPvtd3QHoddd9y307ZuHV175M/7wh9/jpZeeR0pKCi68cDK+9707ceaZxZrX1QjNIWRXVxcefPBB+Hw+vPDCCygvP90//7bbbsPcuXOxePFizJgxA8XF6hty4403xvz33/zmNwCAysrKXkl7c3MzHn74YRQUFGDFihUYMGAAAODmm2/G1VdfjR//+MeYPHkycnKcSXMpMbfM/EVERERERERkFWVCV7Uu2U5P6PrZZ4fx3nunqwFvv/2WuMutX78WX/vatQCA4cNHoLS0DJs2vY22tjakpqbirbfexJAhQ3tVMGZnZwMARo4sx7PPPm/K+v7mN88gPT0dzz77PAYPHtLrb5HdpJXPP3bsWMz3Onbs86h/U17zu9/9AcOHR3cHN6pPn+yYnwsAR48e7bUOwOku1t/4xrfwjW98C42NR7B9ezXWrHkV69b9FZ9/fhSLF/8SAODz+XDFFVfhiiuuQnNzE/7xjx147bX1qKr6G+rq6vDb376ElJQU07cnHs1jQm7evBmffPIJrrjiiu4AEgByc3OxcOFCdHZ2YsWKFbpX6E9/+hMAYO7cub3+fd26dWhpacE3v/nN7gASON0//pvf/CaOHTuG1157TffnkrXcMvMXERERERERkZWUCV3VOD2h69q1qxEKhTBmzNjuEKvn/y6//AoAX05co5gxYxY6Ok7hzTdfw1tvvYGTJ09g+vTLey3Tp082hg07CwcOfByzh6wen356EEOHnhUVQDY2NuLTT3sPBZidnYOBA89EfX1dzODvgw92Rv2b0k16164PTFnfSGVlI9He3o7du3dF/W379moAQGnpyJivDQT6Ydq0mXj88acwaNBgvP/+Vpw61R61XF5ePi6++BL89KePYPz487B//0eor68zd0MS0BxCbt16ejDPyZMnR/1N+bf33ntP18ps27YNtbW1GD16NM4++2zNn6ssQ3IRnfkrGArbtEZEREREREREzpF5QtdwOIy//vVV+Hw+3H//j3HvvQ9G/e/++3+M0aPHoLa2Bh9+uLv7tdOmzURKSgrWrVuDdevWwOfz9eqKrZg79+tob2/Ho48+HLPb9aef1uPQoU+F17l//wGor6/D558f7f63U6dO4fHHH+k1UU7P9ezs7MSzzy7t9e/btr2PrVvfjVp+1qxK9OmTjWeeeRoffVQb9ff29nZDAaXS5X3p0l/1Wt/PPjuMl19+ASkpKZg27fQQhB0dHfjgg3/EWIeTOHnyBFJTU+Hz+bu3JxzunbV0dXV1dy9PT8+Ieh8rae6OvX//fgDA0KFDo/7Wr18/9OnTBwcOHNC1MkoV5Ne+9jVNn6v8m57P9Xl4OEJl25zeRi0zf00Ykm/PShHZQJY2SJTM2A6JnMd2SOQ8tkNt7PqeZJ3Qtbr6PRw6VI+xY8ehuHhQ3OVmzboSu3btxOrVK3H22aMAnB6/cPz4iXjvvc3w+/0YM2YsBg48M+q1V131Vfzzn7uwdu1qfPDBPzBhwkQEAv1w7NjnOHBgP3bv3oUf/ejhmK+NZe7cr+OJJ/4fbrrpekydeim6uoJ4//0tCIfDGDGiDPv27e21/De/eQM2bqzCK6/8GR99VIt/+7dz0dDwGd544zX8+79fhHfe+Tt8PXaEgoIC/PjHP8ODDy7CTTd9A5MmXYAhQ4ahs7MDhw4dwo4d2zB69BgsXvyU0PpGmjlzNt566w38/e8bccMN1+LCCy/CyZMnUVX1N7S0NOP223/Q/VucOnUKt976Hxg8eAhGjixH//4DcPLkCWza9DaOHj2K6677FtLTT4fbP/zh3ejTJxtf+co5GDBgILq6uvDee1uwf/9HuOSSS6Nm+o7H54vfLrS0F80hZFtbG4DT3a9jycnJ0VVOe/z4caxduxZZWVm44oorNH2uMg6kns8tLIy9HV7i9DaeOtgitpzfj0DA+78HJR+n2yARsR0SyYDtkMh5bIdi2tvb8fnnfqSk+JCaqrkDqSapACadFT0RipPWrDk9Ic0VV1Sqbv+MGTPwP//zOF57bT1+8IO7uieCmTVrNrZufRfBYBCXXz4r7nv86Ec/xb//+2SsXLkC7777Nk6cOIGCgjMwePAQfO97d+D888/vfq3/i2A2JcUf8/3mzbsW6elp+OMfX8arr76CnJxcXHjhZHz3u9/DD394DwD0el3fvrlYsuRZPP30U/j739/Ev/61B2edNRw//el/ob6+Hu+883f07Zvb6zUXX3wxfve7l/D73/8O7723Be+9twVZWVno168IV1xRiZkz429rT0q4GbnsI4/8P7z88ktYs+ZV/PnPLyM1NQ0jR56N6677Ji6+eEr3crm5fXDbbf8H77+/FTt37sCxY58jN7cvhg4diu9+93uYNm1G92fceuv3sHnzJuzZ809s2vR3ZGZmobh4EO6554eorLwq4fqGQj74/X4UFGR3/75G+MKRdZkJzJ8/H++88w42bNgQsyrxoosuwokTJ1BdXa1pRf74xz/igQcewDXXXIOf//znUX+fMWMG9u/fj3/+85/d07orOjs7MXr0aIwcORKrVq3S9LlHj7ZC2zfgHj7f6ZOM09v4/idNWLg8ekyFSEvmjWElJHmKLG2QKJmxHRI5j+2QyHlsh9p0dnagsfEQCgsHIi3N2RmqyX4//emD2LBhLX7/+z9i2LCzTH3v1FQ/urpCpr6nlTo7O3D06CEEAvHbgnJ8EaG5EjJR1WFbWxvy8rTP4PTnP/8ZQPSENLE+N3Ia9UTVmWrCYXj+IOz0NmqZ+cvrvwUlJ6fbIBGxHRLJgO2QyHlsh2L4HSWHxsZGBAK9x97cvr0ar7++AUOGDDU9gHQzs44dmkPIYcOGATg9/uLo0aN7/e3IkSM4ceIExowZo+k99+3bh+3bt2P48OGYMGFC3M/dtWsXDhw4EBVCKmNBxqrMJOcpM38tWrU77jJOz/xFRERERERERMnjP//z/yAjIxMjRpQhKysL+/d/hC1b3oXf78cdd/yn06vnSZoHNzjvvPMAAG+//XbU35R/U5YRpUxIE68KUvRzJ06cqOlzyT4yz/xFRERERERERMnl8suvQFdXF15/fQOWL38Re/b8E//+7xfhV7/6X5x33vlOr54naR4TsqurCzNnzsRnn32G5cuXo7y8HMDpbtJz585FfX091q1bh0GDTs/a09DQgNbWVhQVFcXsLt3Z2YmLL74Yra2t2LhxIwoLC2N+bnNzMy699FKkpqbilVdewYABAwAAhw8fxtVXXw0AeO2117q7bYtqbPTumBg+HxAI5Eq1jcFQWLqZv4isImMbJEo2bIdEzmM7JHIe26E2yjh4HBOSzObWMSHV2oJyfBGhuTt2amoqHn74YSxYsADXX389Zs+ejezsbGzYsAH19fVYtGhRdwAJAIsXL8aKFSvwyCOPYM6cOVHvV1VVhc8//xzTp0+PG0ACQF5eHh588EHcc889uOaaazBr1iwAwJo1a9DU1IQnnnhCcwBJ9kvx+zB+cL7Tq0FERERERERERDbSHEICwPnnn48XX3wRTz75JNasWYOuri6UlZXh7rvv7g4HRYl0xVZcddVVKCgowNKlS/GXv/wFADB69GjceuutuPDCC7VvCBEREREREREREVlOc3dsr/FyOTpL7omcxTZI5Dy2QyLnsR0SOY/tUBt2xyarJHt3bM0T0xAREREREREReR8TW0p25rYBhpBERERERERERF/w+09HJcFg0OE1IXJWMNgF4Ms2YRRDSCIiIiIiIiKiL6SkpCI1NR0nTrQhyUewoyQWDodx4sRxpKamIyVF15QyUcx5FyIiIiIiIiIij8jO7ovm5kYcO3YEffpkfxHC+JxeLXK5UMiHYFD2YDuMYLALJ04cR0fHSeTlBUx7Z4aQRB4QDIWxo74ZjW0dCOSkY2xxHlL8PEESERERERHpkZWVDQA4frwFTU2NDq8NeYXf70co5I6JaVJT05GXF+huC6a8p2nvRESOqKppxONV+9DQ1tH9b0U56birYgQqSs17YkFERERERJRMsrKykZWVjWCwyzXBEcnL5wMKCrJx7Nhx6Wep9/v9pnXB7okhJJGLVdU0YtGq3VH/3tDWgUWrduPRylEMIomIiIiIiAxISUlFSorTa0Fu5/MBmZmZSEvrlD6EtAonpiFyqWAojMer9qkus/iNWgRDSXp0IyIiIiIiIiJpMIQkcqkd9c29umDH8lnrKeyob7ZpjYiIiIiIiIiIYmMISeRSjQkCSK3LERERERERERFZhSEkkUsFctJNXY6IiIiIiIiIyCoMIYlcamxxHooSBIz9czMwtjjPpjUiIiIiIiIiIoqNISSRS6X4fbirYoTqMndOLUGK32fTGhERERERERERxcYQksjFKkoDeLRyVFRFZP/cDDxaOQoVpQGH1oyIiIiIiIiI6EupTq8AERlTURrAlJJC7KhvRmNbBwI56RhbnMcKSCIiIiIiIiKSBkNIIg9I8fswfnC+06tBRERERERERBQTu2MTERERERERERGRpRhCEhERERERERERkaUYQhIREREREREREZGlGEISERERERERERGRpRhCEhERERERERERkaU4OzaRCYKhMHbUN6OxrQOBnHSMLc5Dit/n9GoREREREREREUmBISSRQVU1jXi8ah8a2jq6/60oJx13VYxARWnAwTUjIiIiIiIiIpIDu2MTGVBV04hFq3b3CiABoKGtA4tW7UZVTaNDa0ZEREREREREJA+GkEQ6BUNhPF61T3WZxW/UIhgK637/6romrN/TgOq6Jt3vQ0RERERERETkNHbHJtJpR31zVAVkpM9aT2FHfTPGD87X9N7s4k1EREREREREXsJKSCKdGhMEkFqXU7CLNxERERERERF5DUNIIp0COemmLgdY38WbiIiIiIiIiMgJDCGJdBpbnIeiBAFj/9wMjC3OE35PLV28iYiIiIiIiIjcgiEkkU4pfh/uqhihusydU0uQ4vcJv6dVXbyJiIiIiIiIiJzEEJLIgIrSAB6tHBVVEdk/NwOPVo7SPImMFV28iYiIiIiIiIicxtmxiQyqKA1gSkkhdtQ3o7GtA4GcdIwtztNUAalQunirdcnW2sWbiIiIiIiIiMhprIQkMkGK34fxg/Mxo7wI4wfn6woglfcxu4s3EREREREREZHTGEISScbsLt5ERERERERERE5jd2wiCZnZxZuIiIiIiIiIyGkMIYkkpXTxJiIiIiIiIiJyO3bHJiIiIiIiIiIiIksxhCQiIiIiIiIiIiJLMYQkIiIiIiIiIiIiSzGEJCIiIiIiIiIiIktxYhoiIhMFQ+Fes5pPOyPH6VUiIiIiIiIichxDSCIik1TVNOLxqn1oaOvo/reB6/fijinDMbU04OCaERERERERETmL3bGJDAiGwqiua8L6PQ2ormtCMBR2epXIIVU1jVi0anevABIADje3455Vu1FV0+jQmhERERERERE5j5WQRDrFqnoryknHXRUjUMGqt6QSDIXxeNW+mH9TYunFb9RiSkkhUvw++1aMiIiIiIiISBKshCTSIV7VW0NbBxax6i3p7KhvjtoXIn3Wego76pttWiMiIiIiIiIiuTCEJNJIrepNsfiNWnbNTiKNCQJIrcsREREREREReQ1DSCKNWPVGkQI56aYuR0REREREROQ1DCGJNGLVG0UaW5yHogQBY//cDIwtzrNpjYiIiIiIiIjkwhCSSCNWvVGkFL8Pd1WMiPk3ZRqaO6eWcFIaIiIiIiIiSloMIYk0YtUbxVJRGsCjlaOi9o0BeZn4ReUozphORERERERESS3V6RUgchul6m3Rqt1xl2HVW3KqKA1gSkkhdtQ3o7GtA4GcdEwbOwjHPm9DmPMUERERERERURJjCEmkg1L19njVvl6T1PTPzcCdU0tMrXoLhsK9Qq2xxXkMOCWW4vdh/OB8AIDPB/5WRERERERERGAISaRbrKo3swPCqprGqKCzKCcdd1WMYPdeIiIiIiIiInINhpBEBvSsektEa0VjVU1jzC7fDW0dWLRqNx7lOINERERERERE5BIMIYlsoLWiMRgK4/GqfarvufiNWkwpKWR3XyIiIiIiIiKSHmfHJrKYUtHYM4AEvqxorKppjHrNjvrmqOUjfdZ6Cjvqm01dVyIiIiIiIiIiKzCEJLKQaEVjMNR76uTGBAGk1uWIiIiIiIiIiJzEEJLIQnorGgM56ULvL7ocEREREREREZGTGEISWUhvRePY4jwUJQgY++dmYGxxnu51IyIiIiIiIiKyi66JaXbu3ImnnnoK27dvR1dXF8rKynDjjTdi1qxZmt7n6NGjWLp0Kd58800cOnQIffr0wbBhw3DVVVfhG9/4Rq9lR44cGfd9rrnmGvz85z/XsylEltJb0Zji9+GuihExZ8dW3Dm1hJPSWEzrjOZEREREREREFJvmEHLz5s1YsGAB0tPTMXv2bGRnZ2PDhg244447cPjwYcyfP1/offbs2YP58+ejpaUFU6ZMwYwZM3DixAnU1tbijTfeiAohAaC4uBjXXHNN1L+Xl5dr3QwiWygVjWpdsuNVNFaUBvBo5aiYs2pfPWYgOrtCqK5rYjBmEa0zmhMRERERERFRfL5wOBxOvNhpXV1duPzyy3H48GEsX768O/xrbW3F3LlzUV9fj/Xr16O4uFj1fdra2nDllVeivb0dzz33HM4+++yoz0lN7Z2Pjhw5EhMnTsTzzz8vurpCGhtbIf4NuIvPBwQCuVJsYzJXlCmzY8fzaOUo1VCr53dX13QSK3YeYjBmMaO/mUKmNkiUrNgOiZzHdkjkPLZDIud5tR0q2yVC05iQmzdvxieffIIrrriiV/Vhbm4uFi5ciM7OTqxYsSLh+7z44ov49NNPcdddd0UFkACiAkhyt6qaRlQu24KFy3figTUfYuHynahctgVVNY1Or5otlIrGyDEe++dmCIVZKX4fxg/OR1qqH0s3HYiqqmxo68CiVbuT5vu0mt4ZzYmIiIiIiIgoPk1p39atWwEAkydPjvqb8m/vvfdewvdZs2YNfD4fZsyYgY8++gjvvPMO2tvbMXz4cFx00UVIT489jl5LSwtefvllHDt2DHl5eRg3bpzqWJHkvHgVZUpwJlpR5nYVpQFMKSnUXQ0qGoxNKSlMmgpTq2iZ0Xz84Hx7VoqIiIiIiIjI5TSFkPv37wcADB06NOpv/fr1Q58+fXDgwAHV9+jo6MDevXtxxhln4Pnnn8dTTz2FUCjU/ffBgwfjV7/6Vcxw8cMPP8RDDz3U698uuugiPProoygsLNSyKd18Hs5rlG1zahtFg7NLRiRHcJaa4sOEIfm6XqslGNP7GXRa43HBGc2PdyRsW063QSJiOySSAdshkfPYDomc59V2qGV7NIWQbW1tAE53v44lJycHra2tqu/R3NyMYDCIpqYmPP300/jP//xPXHXVVejq6sIf/vAH/PrXv8att96KtWvXIiMjo/t18+fPx/Tp0zFs2DCkpaWhpqYGTz/9NN566y185zvfwcsvv4yUlBQtmwMAKCwU67fuZk5t47u1R4WCs49aO3FBib4QOVmcOtgitpzfLzwWA8VWcqZYCFlyZr7wd50Mxxki2bEdEjmP7ZDIeWyHRM5L5nZo++CLStVjMBjE9ddf32s27e9///v4+OOPsXbtWqxbtw5XXXVV998WLVrU633OPfdcLF26FDfccAO2bt2K119/HdOnT9e8PkePemtA0J58vtM7t1PbWPtpk/BypXmxu+DTaRk9qoUTLdfYqP4ggNQNz00TmtF8eG5awu/a6TZIRGyHRDJgOyRyHtshkfO82g6V7RKhKYTMyckBgLjVjm1tbcjLy1N9j55VlBUVFVF/r6iowNq1a7Fr165eIWQsfr8fX/va17B161Zs27ZNVwgZDsNTP34sTm1jIFssWAxkp3v+NzBqbHGeUDA2tjiP36VBfp8Pd1WMUJ0d+86pJfD7fMLfdTIcZ4hkx3ZI5Dy2QyLnsR0SOS+Z26Gm2bGHDRsGADHHfTxy5AhOnDgRc7zInvr06YP+/fsDAPr27Rv1d+XfTp06JbROBQUFAIATJ04ILU/2UYIzNUpwRupS/KeDMTV3Ti1JirE17WB0RnMiIiIiIiIi6k1TCHneeecBAN5+++2ovyn/piyj5vzzzwcA7NsXPWmJ8m/FxcVC6/SPf/wDADBo0CCh5ck+DM7MxWDMXhWlAay6eRKWzBuDh2edjSXzxmDlgom2fc/BUBjVdU1Yv6cB1XVNCIaS9FEZEREREREReYKm7tgXXHABBg8ejNWrV+Pb3/42ysvLAZzunr1kyRKkpaXh6quv7l6+oaEBra2tKCoq6tUN+9prr8XKlSuxbNkyTJ06tbv68ciRI/jd734Hv9/fq2v1v/71LwwfPhxpaWm91mfbtm343//9X6SlpWHmzJmaN56spwRnj1ft69WVuH9uBu6cWsLgTKOK0gCmlBRiR30zGts6EMhJx9jiPAa5Fknx+zB+cL7tn1tV0xjVZopy0nFXxQi2GSIiIiIiInIlTSFkamoqHn74YSxYsADXX389Zs+ejezsbGzYsAH19fVYtGhRr4rExYsXY8WKFXjkkUcwZ86c7n8fN24cbrrpJjz33HOorKzE1KlT0dXVhddffx1Hjx7FnXfeibPOOqt7+eeeew5vvvkmxo8fj4EDByI1NRU1NTV455134PP58NBDD2HIkCEmfB1kBQZn5nIqGCN7VNU0xhyPsqGtA4tW7WbVKxEREREREbmS5tmxzz//fLz44ot48sknsWbNGnR1daGsrAx33303Zs2aJfw+9957L8rKyvDCCy9gxYoV8Pl8KC8vx09+8hNMmzat17KXXnopWlpa8OGHH2LTpk3o7OxEIBDA7NmzccMNN2DMmDFaN4NsxuCMKLFgKIzHq6KHqehp8Ru1mFJSyBCfiIiIiIiIXMUXDifrnDynNTZ6a2r0nnw+IBDI9fQ2EslMaxusrmvCwuU7Ey63ZN4YhvpEgnguJHIe2yGR89gOiZzn1XaobJcITRPTEBGRdRp7jAFpxnJEREREREREsmAISUQkiUDEzOdGlyMiIiIiIiKSBUNIIiJJjC3OQ1GCgLF/bgbGFufZtEZERERERERE5mAISUQkiRS/D3dVjFBd5s6pJZyUhoiIiIiIiFyHISQRWS4YCqO6rgnr9zSguq4JwZCHRuE1WUVpAI9WjoqqiOyfm4FHK0ehojTg0JoRERERERER6Zfq9AoQkTsFQ2HsqG9GY1sHAjnpGFucF7NCr6qmEY9X7UNDj8lUinLScVfFCAZqcVSUBjClpFDo+yUiIiIiIiJyA4aQpItoAEXeJBosVtU0YtGq3VGvb2jrwKJVu1nZpyLF78P4wflOrwaRJjw3EBERERFRPAwhSTNWtiU30WAxGArj8ap9qu+1+I1aTCkpZEhB5AE8NxARERERkRqOCUmaKAFUz5tM4MsAqqqm0aE1IzuIBotKNVTkfhLps9ZT2FHfbOYqEpEDeG4gIiIiIqJEGEKSMC0BFHmTlmCxMcFyCtHliEhOPDcQEREREZEIhpAkjJVtpCVYDETM7hyP6HLkXZw93d14biAiIiIiIhEcE5KEeamyjZMn6KMlWBxbnIeinHTVcKJ/bgbGFueZtXrkQhxH0P28dG4gIiIiIiLrMIQkYV6pbPNS6GF3mKolWEzx+3BXxYiYk9go7pxawvA3iXH2dG/wyrmBiIiIiIisxe7YJEwJoNTIXtnmpckTqmoaUblsCxYu34kH1nyIhct3onLZFku3QQkW1fQMFitKA3i0clTUftM/N4MBU5LjOILe4YVzAxERERERWY8hJAnTGkDJxkuhh5NhqtZgsaI0gFU3T8KSeWPw8KyzsWTeGKxcMJEBZJLjOILe4fZzAxERERER2YPdsUkTJYCK7M7cPzcDd04tkTpY0hJ6jB+cb89K6SAapk4pKbTspr+iNIApJYXCXcFT/D6pv1Oyn1vHEeR4srG5+dxARERERET2YAhJmmkNoGTh1tAjkixhKoNFMsKN4wh6aTxZK7j13EBERERERPZgCEm6uDGAcmPoEYtXwlRKbm6bPZ2T6IhVgbrx3EBERERERPZgCElJw22hRzxeCVMpublp9nQZhkBwGqtAiYiIiIjIKE5MQ9IJhsKormvC+j0NqK5rMm2iGK9MnsCZaMkr3DJ7erJPouPkRFhEREREROQdrIQkqVhdbeOFyRPcVEFGlIgbxhFM5iEQWAVKRERERERmYQhJ0rBrzDU3hB6JeCFMJVLIPo5gMg+BIMtEWERERERE5H4MIUkKdlfbyB56iPBCmErkBl4ZT1aPZK4CJSIiIiIic3FMSJJCso+5ppcSps4oL8L4wfkMIIks4JXxZPVI5ipQIiIiIiIyF0NIkgKrbYhIZm6ZRMdsnAiLiIiIiIjMwu7YJAVW29gvGAqzKzeRBsk4BAInwiIiIiIiIrMwhCQpmDHmGkM1cVbPQk7kVV4YT1YrToRFRERERERmYAhJUjBabcNQTZxds5ATkXckYxUoERERERGZi2NCkjT0jrmmhGqRVZRKqFZV02jZOruN6CzkwVDYpjUiIrfgRFhERERERGQEKyFJKlqrbURDtSklhbxhhrZZyJOtyykRERERERERWYchJElHy5hrDNW04SzkREREREREROQEhpDkCLMmkWGopk2yzEIusn9xIiMiIiIiIiIi+zCEJNuZOYlMsoRqZjFjFnLZiexfnMjIfRgaExERERERuRtDSLKV2TMzJ0OoZiajs5DLTmT/AsDZwV2GoTEREREREZH7cXZsso0VMzMroZoaN4dqVtA7C7nsRPavx6v2cXZwl1GC5cgHDUpoXFXT6NCaERERERERkRashCTbWDWJjBKqRVZK9c/NwJ1TS1wbqllJ6yzkbiCyfyX6O8CJjGQi+uBiSkmhq/ddIiIiIiKiZMAQkmxj5SQyXgzVrKZlFnI3MHPyIU5kJAerHlwQERERERGR/RhCkm2snkTGa6GaVbw6wYeZkw8l20RGsu4TVj64ICIiIiIiInsxhCTbcBIZ58Wb4OOOqSUoyEqTLoTSQmT/UsbB5D74JZknfbH6wQUZJ2uATURERERE8mEISbbx+szMslObOfq+V/f0+jdZQigtRPYvZRIj7oOnmT1bvdn44EJuMgfYREREREQkH86OTbby6szMshOZ4KMnt848LLJ/cR88zYrZ6s2mBMtqkik0lglnLSciIiIiIq1YCUm24yQy9hOZ4CMWN848LLJ/cR90z6QvSmgcWXHXPzcDd04tSZrQWCactZyIiIiIiPRgCEmO4CQy2hkZe03vxB0yhFB6iOxfyb4PumnSF4bGcnFLgE1ERERERHJhCJkkOHmAuxkde83IxB0yhFBkPismfbHyOJPsobFM3BRgExERERGRPBhCJoGqvY14jJMHuJYZk4eITPARD2ce9iazJ33hJCXOcOIBE2ctJyIiIiIiPTgxjcet23UI93DyANcya/IQkQk+YuHMw95l5qQvnKTEGVU1jahctgULl+/EA2s+xMLlO1G5bIvl37cSYKvhsYOIiIiIiCIxhPSwYCiMn7waXUHXk9Oz35I6LWOvJRJvVmg1nHnY28yYKdwNs2x7kZPBL2ctJyIiIiIiPdgd28O2H2zGoeZ21WU4eYDczB57LdYEH8dOdOKJN2s583CSMjrpCycpsZ/Ts1MHQ2HkZabiunHFWLunAU0nO7v/xmMHERERERHFwxDSwxqPmxdg2THuGCfPiWbF2GuxJviYWhrgd/+FZNwPjUz6wklK7Odk8Btr7M/8zFRcPqo/powoTIr2QkRERERE+jCE9LBAtjkBlh0TTnBSi9jMnjwkHs48fFqi/TAZA8pEOEmJ/ZwKfuNNktXU3oWXttVj7CC2ByIiIiIiio9jQnrYuYPyMDAvU3WZRAGWHeOOcVKL+Dj2mn0S7YdPbvzIkUlAZMdJSuznRPDLsT+JiIiIiMgohpAeluL34UdXjlJdRi3AsuOmkze2iZkxeQipE9kPn3//IIPyGBiU28+J4NfMSbKIiIiIiCg5sTu2x80cPRC/qByFxyK6mIpMHmDHuGOc1EKM0clDSJ3IfqjGyklA3EAJyiO7srttkhK3dLdXgt9YXaMVZge/yTr2p1v2CSIiIiIiN2AImQQqygK4WEeAZcdNZ7Le2Oph57iNyXbjbXT/YlDu/qDcbePS2h38JuPYn27bJ4iIiIiIZMcQMknoCbDsuOlMxhtb2SXjjbcZ+xeDcvdOcBRvwhWlu72swx7YGfzaNUmWLNy6TxARERERyYxjQlJcdow7xkkt5JKskwSJ7IeJMCh3J7ePS6sEvzPKizB+cL5llafJNPan2/cJIiIiIiJZMYRMMsFQGNV1TVi/pwHVdU2qN1F23HQm042t7JL5xltkP1TDoFwuWo5znHBFXLJMksV9goiIiIjIGuyOnUT0dLO1Y9wxr0xq4XbJPkmQ2n44fWQ/PP/+wbivZVAuD63HOY5Lq43bx/4UwX2CiIiIiMgaDCGThJHxrey46UyGG1vZ8cZbfT8cfWZfBuWS03Oc47i02rl17E9R3CeIiIiIiKzBEDIJiHaznVJSGDf0s+Om0+s3trLjjfdp8fZDBuVy03uc8/KEK8k2y71ZvLxPEBERERE5SXcIuXPnTjz11FPYvn07urq6UFZWhhtvvBGzZs3S9D5Hjx7F0qVL8eabb+LQoUPo06cPhg0bhquuugrf+MY3opb/+9//jqVLl+Kf//wnfD4fvvKVr+C73/0uLrjgAr2b4nnbDyZ3N1sSwxvvxBiUy0vvcALKeKCxKigVVnS3tzogTMZZ7s3i1D5BREREROR1uiam2bx5M77xjW+guroal19+Oa699lo0NjbijjvuwG9+8xvh99mzZw+uuOIKvPDCCxgxYgRuvPFGXHHFFcjKysIbb7wRtfzKlSuxYMEC1NbWYs6cObjmmmuwb98+3HTTTVi3bp2eTUkKjcfZzZYS4yRB5GZGhhOwe8KVqppGVC7bgoXLd+KBNR9i4fKdqFy2xbTZ582a5V7LBD9ekyyT8BARERER2ckXDoc13VV0dXXh8ssvx+HDh7F8+XKUl5cDAFpbWzF37lzU19dj/fr1KC4uVn2ftrY2XHnllWhvb8dzzz2Hs88+O+pzUlO/LNRsbm7GZZddhpSUFLzyyisYMGAAAODw4cO4+uqrAQCvvfYacnJytGwOGhtboe0bcA+fDwgEcrFuWx0WLt+ZcPkl88awyotiVlBx7EN9lDbo5eOMLKrrmgwf5+zovhxv3EqF0YArGAqjctmWhBXNKxdMVN02L1VSGmmH7NJOZA6eD4mcx3ZI5DyvtkNlu0Ro7o69efNmfPLJJ5gzZ053AAkAubm5WLhwIe69916sWLECt99+u+r7vPjii/j000/xs5/9LCqABNArgASAdevWoaWlBd/73ve6A0gAGDBgAL75zW/iqaeewmuvvdYdSNKXzh3EbraykvEGV4axD2X8XkhuZgwnYHV3e73jVmppD3q7pff8jLqmk1i66UDU60QmMvMaDsFARERERGQezSHk1q1bAQCTJ0+O+pvyb++9917C91mzZg18Ph9mzJiBjz76CO+88w7a29sxfPhwXHTRRUhP790FKtHnPvXUU9i6dStDyBg4vpWcZK40cvLGW+bvheTlhuOcnoBQa3vQ0y091meoSTSRGRERERERUSyaQ8j9+/cDAIYOHRr1t379+qFPnz44cCC6gqKnjo4O7N27F2eccQaef/55PPXUUwiFQt1/Hzx4MH71q19h5MiRQp+r/Fuiz43F5+F7KGXbfD7g0rIAflE5Co/F6GZ719QSVJQx3LFT1d7YXTKVSqNfVI5Kyt/Ea99LzzZI1pP9OCc8Pu/xDvh8+tqDllnu1T5DjRKUThiSr+l1TmE7JHIe2yGR89gOiZzn1XaoZXs0h5BtbW0ATne/jiUnJwetra2q79Hc3IxgMIimpiY8/fTT+M///E9cddVV6Orqwh/+8Af8+te/xq233oq1a9ciIyMj4ecq40Am+txYCgvF+q27mbKN8wK5+Or5w7D148/R0NqOotxMTDzrDFaz2CwYCuOJjVvj/t0H4ImNH+Gr5w9Lqt/Gy99LMhxnZCHzca7kTLEQsuTMfBSckaOrPUw7IwcD1+/F4eZ2xBpmxgdgQF4mpo0dBACqn6HmlN8vPO6LLNgOiZzHdkiRgqGwlOdsL2M7JHJeMrdDzSGkGZSqx2AwiOuvvx7z58/v/tv3v/99fPzxx1i7di3WrVuHq666ytJ1OXrUWwOC9uTznd65I7exNC8dpXmnq2WOfd7m0Nolj2AojO0Hm9F4vAOB7HSEwmEcam6Pu3wYwKHmdvxtx0HXVBqZ4f1Pmjz3vcRrg2Q9GY9zw3PThMatHJ6bhr/tOKi7PdwxZTjuiVPdGP7i78c+b0vY5tRkhEJobNT+4M8JbIdEzmM7pFiq9jZG9V4oyknH3RUjHO+94EVsh0TO82o7VLZLhOYQMlHVYVtbG/Ly1Cc46VnNWFFREfX3iooKrF27Frt27eoOIXt+bkFBQdRnRr6vqHAYnvrxY0mGbZRVrLHW+makCL22sa0jKX43ZUKM1/c2Ci3vxu+FbVA/L01S5PeJjVvp9/k0je0YuW9NLQ3g0cpRcWe5n1oaQDgsPn5kJGWCH7ft02yHRM5jOyRFVU38IUfuSbJJ0OzGdkjkvGRuh5pDyGHDhgE4Pf7i6NGje/3tyJEjOHHiBMaMGaP6Hn369EH//v3x2WefoW/fvlF/V/7t1KlTvT53165dOHDgQFQIqYwFGWu8SCKnxLu4ajkVFHq96NhubqZ1QgwgOb6XSF4K4rTw4iRFFQkCQmW7tIztGO9zEs1yr7ctOT3BDxERuVswFMbjVftUl+EkaERE3qQ5hDzvvPOwdOlSvP3225g9e3avv7399tvdyyRy/vnnY+XKldi3bx++8pWv9Prbvn2nT0rFxcW9Pnf16tV4++23MXbs2JifO3HiRK2bQ2QJkYsrNUqlkZfFC2nVJMP3EsmpIM7p4FOtQmKRyyskRALCscV5Ql231dpDolnuRT4j8vN6BqWUPJw+HhCRt+yob0547lEmQVM7jxERkftoDiEvuOACDB48GKtXr8a3v/1tlJeXAzjdTXrJkiVIS0vD1Vdf3b18Q0MDWltbUVRU1Ku79LXXXouVK1di2bJlmDp1anf145EjR/C73/0Ofr8f06dP717+8ssvx2OPPYbf//73mDt3LgYMGAAAOHz4MH7/+9+joKAAl112ma4vgchsIhdXarxeaaQ3pPXy9xLrJn9j7VFHgjinKxCToUIiUUCY4hfruq1sv56QSOQzbrlwKIbkZzF4SmJOHw+IyHu0DDlCRETeojmETE1NxcMPP4wFCxbg+uuvx+zZs5GdnY0NGzagvr4eixYtwqBBg7qXX7x4MVasWIFHHnkEc+bM6f73cePG4aabbsJzzz2HyspKTJ06FV1dXXj99ddx9OhR3HnnnTjrrLO6l8/Ly8ODDz6Ie+65B9dccw1mzZoFAFizZg2amprwxBNPdI8bSe7ixQoL0YumvpmpaGnv6v7vZKk00hrSev17iXWT3y87DR1B9YFCrAjiZKhAZIXEaaJdt42ERKKfQclJhuMBEXmP0SFHiIjIvXTNjn3++efjxRdfxJNPPok1a9agq6sLZWVluPvuu7vDQRH33nsvysrK8MILL2DFihXw+XwoLy/HT37yE0ybNi1q+auuugoFBQVYunQp/vKXvwAARo8ejVtvvRUXXnihnk0hh3m1wkL0ounnV5TD7/d5KoAVIRrSfm3smbi0LODp7yXeTf6R450JX2t2ECdLBWKyVkjEeiCTqOu2GSGRSPdwt1K+01MHW5ARCnlmu+wgy/GAiLzHjCFHiIjInXSFkAAwZswY/O///m/C5X7+85/j5z//edy/z5kzp1eFZCIXX3wxLr74YuHlSV5errAQvbgaNzg/KW/eREPaS8sCnqp0iwyZzhnY19DYoYC5QZwsFYjJWCGR6IFMrO9bNCSafNYZ+OBQi2rAmKh7uBt59SGXXWQ5HhCR92gdcoSIiLxDdwhJZITXKyycvriSvYt7Mj4BjxWI5GemoqlHd3w9zAziZKlATLb9Q+8DGdGQaPYzW9B08svK2mQI4rz8kMsushwPiMibOBwIEVFyYghJjkiGCgunLq7cUP3jdEhrt6q9sQMRowGk2UGcaKB5Rp80VNc1WRZyp/h9uOOSEty3ek/cZbyyfxh5ICMa/vQMIAHvB3EyPuSS/cFQLMlYkUxE9vLycCBERBQbQ0hyRLJUWNh9cWV29U/PG+cz+qQhDODYiU5TtiNZnoAHQ2E8ZrDLdTxmB3EiFYh5man48bp/WRpyV9U04ok3a2P+zWv7h5EHMkbDHzdXm6uR7SGXGx4MxZJsFclE5AwvDgdCRETxMYQkRyRThYVdF1dmV//EunHuyYyb6GR4Ar714881zQQeKS8zFRmpfluCWpEK1eYY1ZtmVtbFC9IVP7hkuNTBjVZGHsiIhERq3F5tHo9MD7nc3C082SrWiYiIiMh6DCHJEaywMJ+Z1T+JgiDAvJtorzwBj9XdMjXFh4bWdkPv+8PpZbYGtfEqVIty0nGqKxQzhFQYrawTCdL/+82PMHVEwDPBh5EHMiIhUSKyVJub2V3Z6odcousqQ7dwo99rslSsW8GNXfCJiIiIrMYQkhzBCgvzmVX9I3Lj3JNXu3RqEa+75d0VIzC4f19d7xl5k29nUBurQjUYCuO2P32g+jqjlXWydaO1g9EHMvFCooKsNByLGAsyFhmqzc3urmzlQy4t6+r0/mzW95oMFetmc2sXfCIiIiKr+Z1eAUpeys1zUcRNcP/cDKm7qMnKrOofkRvnnpSbaLsFQ2FU1zVh/Z4GVNc1IRgK274OwJdVo5HfWUNbB+5ZtRvHjp+K2sdFON3tWKlQnVFehPGD83HsROJACzBWWSdTN1q7KA9k1CR6IFNRGsCqmydhybwxeHjW2VgybwxW3zIp4X4nQ7W5WvtZtGo3qmoaNb+nGd+pGevq5P5s9vcaeTxgABmfFfs0ERERkVewEpIc5YYKC71dquzuimVW9Y+eG2K7QyFZqkxEqkb/71/34M6pJbj31fgzPcciW7djO8ZxTaaxYnsyo8trrGENZK82t7K7stndiPWsq1P7swzdwJMVv3ui5MUhGIiIxDCEJMfJPCag3rDLiZDMrC7uem6IzbqJFrmAk2miB5Gq0UPN7cjPSosZiKiRrduxHeO4JvNYsVY8kJF9PD+ruyv3/E5P+f3ICIV0f6d61tWp/dnpbuDJjN89UXKS5eE4EZEbMIQkikNv2OVkSGZG6KB1xl2zbqJFLuBkqzIRrQDd+skx3HLBsO5A5PW9jfjjjk9Ne3872DGOa7KPFWvFAxmZq83t6K6c4vdhwpB8BAK5aGxsRVjnqA161tWp/TkZhzWQRTJ996z6IjpNpofjRERuwBCSkorVs5rKEJIZDR20zrhrxk206AWc0SoTs2+aRCtAf7O5Dqt3fdYrUBUJIWXrdmxHZZ3s1XtuJGu1uZu63+tdVyf2Zzd9r16TLN89q76ITpPhup+IyG0YQlLSsGNWU1m6YhkNHeLdOPckchMtEvppuYAzUmVixU2TlqrRnoHqlJJC13Y7tqOyTubqPTKPm7rfG1lXu/dnN32vXpMM3z2rvoi+JMt1PxGRmzCEpKSg9aJZb9jlpa5YkTfOZ/RJQxjAsROdQjfRoqGflgs40eqRoyc6EAyFu9fPqpsmrVWjwJeBqp5umrJ0f7Ojsk7W6j0yj5u63xtdVzv3Zzd9r17j9e+eVV9EvXnpup+IyC5+p1eAvCMYCqO6rgnr9zSguq4JwZDOwbdMJnrR3HN99Xap8lpXLOXGeUZ5Ec4bWoCJQwswo7wI4wfnJwwgF63aHRUuKqFfVU1j979puYBTqkwSeeLNj1C5bAuqahp1/f5aKFWjIusFfBmoxntd/9yMmKFoVU0jKpdtwcLlO/HAmg+xcPnO7m0kciut7cBJXFcS4eXvXstDQ6Jk4LXrfiIiO7ASkkwh8/hAds5qmgxdsRLRWimh5QJOS+WhEnjecuFQy7vKKFWjy97dj2c31yVcXgleRbtpsvub+WSpKtXL7evfk5u633NdSYRXv3tWfRH1xut+IiLtGEKSYbIFJJE35w2tp4ReZ8aspl7viiVCa+ir9QJOZLzKnv6wrV5ovY3eNKX4fThvSIFQCNkzeE3UTZPd38xn10MTq4JCmR/66OWm7vdcVxLhxe+eVV9EvfG6n4hIO3bHJkOs7uqqVawuq4vfqBV67dETHb26kuvtUuXlrlgitFZKKBdwaiIv4CpKA1h18yTcccnwhJ/T0t4ltD5m3DSJdBfX+kSc3d/MpWWoAKOfY0X3ebvWn4gokhXnOCK3S/brfiIirVgJSYbINCtcvIrMJoEQyu87PY6gomdVkZ4uVV7tiiVCT6VEvOpGtRm4U/w+FPYR+6y+mamqYaRZN01WPBFn9zfziDw0+fnfajD5rDOQnqr/GZ1V1eGsihUXWYU67Ywcp1eJyPVY9RWfl4bIIO2S+bqfiEgrhpBkiNMBiXLR19B6Cot7hIhaRRZqRoYFegJUL3bFEiHavfqcgX1RXdfUfbE2paRQ8wWcaOB53bhiLN10IO7fzbxp0hOoqmH3N/OIPDQ5drITs5/ZgvumlUoXFMr00EdmsbqrD1y/F3dMGY6prEghMsTsc5wXeHGIDNIuWa/7iYi0YghJhjgZkMS66EskPysNTSc7u//b74sOIHtiVZF2IpUS00f2wzXPbjV8wS4aeN40aQiGB7ItuWmKVf3Q84n4Kb8fGaGQ7ifiHPTcPKIPQ5pOduquWLQyKHT6oY8bxKtCPdzcjns4iVNSYWWadVj19SXZxkUnIiKSHUNIMsSpgOS1fx3Bfav3aH7dnZcMR1FuBhrbOnD0REevLtix9AwLeEMjTq1SYvrIfnj+/YNRr9Fzwa6la5gVN02Jqh8mDMlHIJCLxsZWhHUOi8rub+bR+jBE7SFEvOOBlUEhq2LVqVWhKs2PD5aSg1OVaVZeJ8h2DcKqLw6RQUREpAdDSDLEiYDktb1HcP9ftQeQAFCUm9F90bx+T4PQaxrbOtjVRodYod85A/vimme3qr5O6wW7lq5hZt40iVQ/XFpmzr7B7m/mEHlo0lO8ikW144GVQSGrYtW5vbu6bCGTWzlVmWbldYLT1yDcN2Nz+zGHiIjICQwhyTCrApJYF70ba4/ivlf1BZCRN+efNJ0Uel1d08mY4wmyq01ikaFfdV2T6RfswVAYeZmpuP2is3DsZCcKstJQ9MVvbdVNkmj1wyUjCk37THZ/M07koUmkyIrFRAHHI1eWWxYUsipWnZu7qzsdMnmFyLH5Zxv2Iic9BeMH55vWVqwMPp3u7st9Mz43H3NEMYAmIiKzMYQkw6wIgWJd9PbLTkNHUGefVvS+Oa+qacQzKhOVKIpy0rFi5yHVZdjVJlq8i9aN+44KvV70gl3t5sjK30O0+mH7wWbMLOpr2uey+5txykOTRzbsRZPKjOmKnhWLIgHHf7/5Ee64pER1uAgjQSGrYuNza3d1p0MmLxE5Nre0d+G2P31gWpBmRZdcLZPuWXkNwn1TnVuPOaIYQBMRkRUYQpIhVoRA8S56jxzvjLF0YpE35yI3DIqrxwxMGFayq01v8faJGWcX4aVt9ULvIXLBbvbNkZan/cLVD8fdW/3gZRWlAUw+6wzMfmZLr4mqIkVWLIqGzwV90iwNClkVG5sbu6tbGWAl476hpeLMrCDN7C65Wifds+oahOMdJubGY44oBtDeFQyF8f4nTUl5jiAiOTCEJN2suEDREhCqKchKwx1fTEITeXIVuWEAgO9cOBSD87OEPq+h9ZTudfUStX0i1mQ0sYhcsJt9c6T1ab9w9UO2O6sfkkF6qh/3TSvV1LVZS9e7GeVFlgaFrIqNptZd3YfTk9PcObUEwOmhIWS4AbMjwBKtXPJCeKmn4sxokGZml9x451Cz1kELjneYmFeHyGAA7V1VexvxxMatONTc3v1vrG4lIrsxhCRdrLpAEQ0IE7l3Wmnck6noxfrg/CzhG5rFb36EjLSUpD6BmxUgi1ywm3lzpCdMF61+OHeQ9uoHLwQBiciyjVq7Nmvteseg0H7xftMBeZm4Y8pwhAFULtsiTfdCOwIskQeDXul2qXXyKcB4kGZWl1wj51Aruvsmw3iHZvDiEBkMoL2J1a1EJAuGkKSLVRcoRi9m/T7gZ7PLVU+iWm4YRG9omk52Sn8Ctzr4MSNAvm5csdD3Z9bNkd4w3arqB68EAWpk20YtXZvt7nonS1hrJzO2OdZvOm3sIPx5837hGzC7vns7A6x4Dwa9dGOqZ/IpwNi1h1nHBb3nUKu6+3p9vEMzuX2IjMjjnWjvnmQPoN2E1a1EJBOGkKSLVU/IjV7M/uyKclxW1k91GZEbhoKsNDR8EaImmmSiJ1lP4HYEP2ZcjE4RnE3arJsjI2G62dUPXgoC4pF1G0UrFu3seidbWGsHM7e552/q++LneExw1uSW9i488WatLd+9nQFWrGOZF29M4x2b1Ri59jDruKD3HGpVd18vj3doBbdWvsc67uZnit0eMoB2D1a3EpFM/E6vALmTVU/IlYteNXmZqVHL9M/NwKOVoxIGkMCXNwxqjp3sxENr/4WFy3fiiTdr8a0Jg4QuypQTuEyU4Cfy4kMJfqpqGk35HKMXo1puZkT2E5H3MxqmV5QGsOrmSVgybwwennU2lswbg5ULJloyFuriN2oRDOmfHd5pXtlGJeCIdwwyI6Syq83KxOpt3vrx58KzJt+3eo9t373I+cjMACtyOS03pm6iHJufnnsO+iY4d5sRpJlxXNB6DjXzmBOLWfsmySvecbepvSvha2UKoIOhMKrrmrB+TwOq65qkv45wAodXICKZsBIyiUV2vzhnYF98cKhFqCuJVU/IRSoKfji9zHC3Fy2VEsqkKl8fdyZe3vZpwveW6QRuZ5WLnrG4etJyM2NW5YkZYboZ1Q/J8ITaS9toZdc7L1amJWLHNje0tideSIAV370ZVdV6j2VevjFN8fvQ2hFMuJxZQZrR44LIOTQnPQV3V4zAgL7Rk+5ZwYvjHdJpRsfxliWATsZeA3pweAUikglDSI8LhsJ4/5PoWUBjnbT9PqDnw0O1k7iV3RJFL3qNBhU9bxgaWk9h8ZsfoelkZ9zlN+w5IvS+Iidwu8YbszP4EdknvjVhENZ/2GDKzYwZN0eydDdzQxBgdJ91wzZqYVXXOy+FtaJEt3lbXRP8fp+ufbAoN9OMVbXsu7cjwIp1LPPyjWmimabzMlPxw+llpgYVRo4LIufQto4gnn77Y9xVMcK2AMjt4x1SbKJjkOZnpfW6NpYpgJZ1iBcZyXK9S0QEMIT0tKq9jXhi41Ycav6yAqQoJx0zzi7C8+8fjFo+svdCopO4lU/I4130AkB1XXSoqpdyw1Bd16QaQAKnu2hHXoxFEjmB2/nU1u7gR2SfuO2is0y7mTF6c2TnGH9qrAgCYoWGAHR9V2bss14OO8zktbBWhOi23Lt6D1p6dBPUsg9OPOsMQ5XaPVn13VsdYMU6lnn1xlSkyisj1Y8pJWLjENtFpJeGEwGLW8c7pPhEj2N3XjIcRbkZ0gXQydhrwIie5wgfgFgd1mWpbiUi72MI6VFqTwdjBZBq1E7iVj4hj7zotTK8E70Yu7y8CC9tq4/790QncLuf2joR/CTaJ8y+mTH6fjJ0NzM7CIjVVvpmpsIHoFljiGPWPuvVsMNsyRjWim5LS8Q4ZVr2wRS/D3dXjMA9GmdNjkXW717PsUyWBzFmE6nyamjrkLKiuKI0gMlnnYHZz2xRfejJgIWMED2OFeVmSNdGgOTsNWBURWkAv6gchSc2ftSrQEWm6lYiSg4MIT3I6DgvkRKdxO14Qm51eCd6MTZlRCHGDsrTFVg58dRWa/BjVjdxt1VNON3dzIwgQPntNu47GjMojwxwgMTtx8x91qthhyjRtpWMYa3R8WRF98GKMu2zJkey67vXeyzWcyyT4UGM2dxeUfzBoZaEvTN6XpvZNcQLeYfbzzVub+NOqSgL4KvnD8Pfdhzk8YKIHMMQ0oNEx3nRwumx6KwO77RcjKX4fboCKyee2moJfpJ9cG+ng1MjQUCs306LeO3H7H3Wi2GHCC1ty0thrWgwIrLNarTug1NKCrGtrimqe7cIO757o8diPccypx/EmM3tFcVaAhYvn7sZrlrH7ecat7dxJ6X4fZgwJB9hTiJORA5hCOlBVgSGTp7E7QjvRC7GfnDJcENdip16aisS/HBwbznoCQISTb4gIl77sWKf9VrYkYietmVnWGvVTb7WYCTeNvfNTBUKCrXsgyl+H84bWoD7p5cJtx27gnInj8VOP4gxk9urvESvueqaTmLppgNR/+6Fc7eXw1VZuPnBoNvbOBFRMmMI6UFmB4ZOn8TtCu8SDQj/xBu18Pt8ui/KnHxqqxb8cHBvuWgJAswceiFW+7FqnzUSdripMsZI27IjrLXqJl9vkBZrm4OhMG770wcJP1PPcVPtBvwHlwxHQVaarfsZj8XmcXuVl0jAUpSTjhU7D6m+j1v3Fz4YtY9bHwy6vY0TESUzhpAeZHR8rUg9T+JOBAB2hncVpQGEQmHct3pP1N+MXvw6/dQ2XvDDwb3dy8yhF2K1H6f32UhOVsboOfYZbVtWVqZZdZOvNUiL9b323OZgKGzpPijTDTiPxeZyc5WXSMBy9ZiBeCZGFWRPbtxfGMbbz61V0G5u47Jx0wNeInI/hpAe1PPi1Qcg1pAf35owCOs/bOh10vb7gFCPhSNP4k4FAHYGIcFQGE+8Wau6jN6LX5GbiorSAHbUN9t68ufg3u5l1m8Sr/3IVGngZGWM3mOfrG3Lypt8LUFac3tXwu/Vjn1QlhtwWfcXN5MpZNYqUcDS2RUSeh+37S8M40kLN7dxWXDoAyKyG0NIj6ooDeAXlaPwxMaPcKi5vfvfewaLt110Vq+T9jkD++KDQy0xT+JOj1NlVxBi9cVvvJsKJQB+aVs9XtpWb+vJX2ulKZ+WysOsrvtq7cfKSoPIfSneMcjJyhgjxz5ZB87XepzT0uZFA494s7jH+l6TpdpF1v3F7WQJmfVQC1iq65qE3sNt+wvDeNLKzW3caRz6gIicwBDSwyrKAvjq+cPwtx0HY948xjppxzqJy9A1xq6bUDsufnveVCg34qGIclU7T/5aKk35tFQuRodeKMhKw73TShP+dlZUGsTalyKrsZV9Ky8z1ZHKGKPHPtm6syusnHlXNPBYu6dB9e+R32syVLvIur+Qs+IFLF7dXxjGE9lDhvs7IkpOfqdXgKyV4vdhwpB8zCgvwvjB+bpOIlqqZqxUURrAqpsnYcm8MXh41tlYMm8MVi6YaGr4ZdfFb4rfh7HFeXh97xHV5Ra/UYtgZEJpMqXSVM2dU0uwsfYoFq3aHbUvKIFpVU2jlatJcVwzZqCu1xVkpWH1LZOE249yI2zkWKJQnrxH7kvxwviN+44Kva/ZlTFGj32ibcvui3stM+9qbfNKMKKmICsNTSc7VZeJ9b2auQ/KSNb9JVkFQ2FU1zVh/Z4GVNc1WX4u1kpkf/nBJcOxo75Z2m2IReQY4sZwlUg2stzfEVHyYQhJCcnUNcbqm1A7L35lOvkrlaaR294/NwOPVo7ClJJCoaelbrjB8YqqmkZULtuCpQkmJojn3mmlSE+1/xSgZ0bvdQmq5hRmV8aYcexL1LacqCAWOc6Jzrwb2eZFgpGZ5UVC65mM3S1l3F+SkXJ8Xbh8Jx5Y8yEWLt+JymVbpHvYpra/fGvCIDzxRq302xCJYTyRPWS6vyOi5MLu2B6ljOF16mALMkIhTd3WIsf/KuiTJvQ6L3SNsXP8SdlO/onGnnLjQPFeHb8y3hg+IuwaRy/ed69nRu9jJzuRn6B6zorKGLMqo2XrSmz1zLuJhs/Iy0yNOR5kJC+cU/SQbX9JNm4bIy3W/nLsRCfuW70nallZtyFSsowDS+QkDn1ARE5hCOlBRsbti/XaftlpyMtMRXN7V9zXealrjF0XvzKe/OONPSVbYCrCq+NX6qkkBIC+mal45IpyW7qxqn33ojO6Rrq8vEg1uLKiMsbMMddkGzjf6pl31YK0YCjsybHszCTb/pIsRI6vP9uwFznpKVINCdBzfwmGwqhctkV1eTeM88YwnshaXh1XlojkxxDSY4w8wY/32iPH1cfuAqzvGmN3RZsdF79uOvnLGJiqcVslixZ6KgkBoKW9Cyl+ny0BpNp3f8uFQ3W975QRhRg7KM/Wyhi9ldFuqcC1eubdeEGanRXnRFqIHF9b2rtw258+kPahlpahXmQPuhnGE1mH52IicgpDSA8xMsuZyGuz01PQJz0FRxIEAGbfgDtV0Wb1xa9dJ38zfg83BaZumO3PyG9ipNrU6kpVke/+lZ2HNM/orexbKX6f7ZUxWiuj3VaB69TMu+xuKT8zz+VuCea1HCNlfajlxp4L5H1uOQYkG56LicgJDCE9xMjTb5HXHu8IItXvwy0XDsWQ/KyYFxFm34B7uaINsP7kb9bv4fTTUi0Xr1ZUgRi9eA6Gwth+8PTr65pOYsXOQ7p/EyPVplZXqop89w1tHfjOhUM1TajTc99yojJGtDLaS8crO9o8u1vKy8xzudb3cjKs0HOMdPqhViS39Vwg73Pbw7lkw3MxEdmNIaSHGHn6Lfra5vYuPLPpAB6tHBUVBJh9A+6GijYzWHXyN/v3cOppqdaLV7OrQIxePK/bdQgPvbJLNZzT8puIVKjFordqTUsgIPqdDs7Pirkv+X1Az8mWRfctO0KLROGnF49XdrR5dreUj5nnDq3vFet42zcjBdeOH4T5k4ZY3nb0HF9l69rspp4L5H1WPZxjZaW5eC4mIjsxhPQQI0+/tT4Rj7yZtuIG3EvjGiVi9snfqkDE7qelei5ezawCMXrxXLX39OvDcZfoTeQ3EalQi0VP1ZrWAFbLdz9+cH7UvnTOwL744FCLpn1LlgoLrx6vWCGRXMw8d2h9r3jH25ZTQTyz6QBe3laPH04vs3wYFj3HV5m6Njvdc4FIYdW1qCznfSIi0sfv9AqQeZSn32riPf0WeW1Pys20QssNuCiOa6SfFb+HQglMZ5QXWTo7qOjFazDUO+Iz0g7M+Pyer3+sap9wAAmI/yZKhVrkduZlpiIvs/ezpf65GboqDZRAIHI/UgLYqprGqNdo/e4j96X0VL+mfSvROr6294jIpprCy8cru9o8Oc/Mc4eW9xI53ja3d8U99pgp3vFVTV3TSQvXSLt426D3fECkhxXXonquTYiISC6shPQQI0+/9Tz973kzbcUNOMc10s8LgYjeyjKzqkCMVrbpncVa9DeJV6GmfLaRqjW91Qt2VuCIrOP9q/cAs4HLRvYz/HmJ8HhFesnUrdDMc4eW99JyvLRjWAPl+Lqtrgn3rt6DlvYu1eWXbjqA4YFsqcI9VjGT08y+FvXisCdERMmIlZAeY+Tpt/La/EyxbLrnzbQVN+BmVbQlIy8EIkYuXs2oAjF68aw34NXym8SqUNNStRYMhVFd14T1expQXdfUXdVppHrBrgockXUMhYH7Vu+xpTKCxyvSo6qmEZXLtmDh8p14YM2HWLh8JyqXbXGsmsfMc4eW99JyvNRbxa9Vit+H84YW4P7pZULLq1XGO4VVzHKId671OrOvRa3s5UNERPZhJaQH9Xz6fcrvR0YoJPz0u6I0gMlnnYHZz2xB08nOuMtF3kxbMRA6xzXSzwsD0xu9eDVaBWL08/UEvHb+JmpjKnV2hYTeI15wYEcFjpbQwo7KCB6v4pOp0k8mMs6mbua545yBfZGflSZ0LaE1NLCzir+iNIBbLhyKZzYdUF3OjWO+kvWSefxCs69FvdDLh4iIWAnpWSl+HyYMycdVY4sxYYi2p9/pqX7cN61UdZnIm2nlBlzLa0RwXCN9rPo97GRGZZmRKhCjn6+8Xss3bNdvkmhMpU8ExzdTC1qtrsDREvLaVRnB41U02Sr9ZGF0zFmrmHXuqKppxDXPblUNIHu+l9Zxqc2u4k9UqTYkP0vofWKFH8lUBadlW5Phe0n28QvNvhb1Qi8fIiJiJSTFodxMRz697Z+bgTunlsS8mdbzGtF14bhG2ln1e9jF6coykc+vKA1gR31zzP0xxe/D3YLjrNr5m4iEH8u31aNvZqrqOGhOV9KKVFj0ZFdlBI9XX5Kx0k8WMs+mbvTcEe937ynyvbSMS53o2KO18lakUk1v+JFMVXBatjUZvheOX3iamdeiXujlQ0REgC8cDnvv0aMGjY2t8Oo34PMBgUCuoW3U042OXe/k4vbfI9bNip2hXazP9/tOjzeoiHfz5PMB7x9uw0Ov7Iq62bp6zEAMyc+y/TeprmvCwuU7Db+PDAGSSNihWDJvDLtJ2igYCqNy2ZaEN4srF0y0fN8341xotvV7GvDAmg8TLvfwrLMxo7zIhjWKpvf8n+h3L8hKw+pbJiE9NbozTlVNI362Ya/qAxC1Y4/WcCvRMUT5LD37s+h7e4HItl5aFkAgkIvlmz7GPUnwvYiea5Pl3GTWtWgytSsryHg+JEo2Xm2HynaJYCUkqVK6VFr9GrKO238PpyvLen7+xn1H8dK2ekT2GlOr7Jo5eiDOLcrG9oNyBMFGKwJlqqStKA3gkSvLcf/qPVG/SU9uq4xw+4MDQO5KPyuJ/nZu6Fao59wh8rsfO9mJDw61xHxv5Xj73JZP8NK2+l5hZKJjj9bKW62Valoq87W+t5vbvOi2XjKiEMFQGI8lSXUgxy/szaxrUbf38iEiIp0h5M6dO/HUU09h+/bt6OrqQllZGW688UbMmjVL6PV/+ctfcN9998X9++9+9ztMmjSp179VVFSgvr4+5vITJ07E888/L74BROQqTgepyphlDyWoXIp38+T0+vekN9Tom5mKR64ol26G1cvK+gGzT8+CHY/s45/25JVuisl4A67lt/Nqt0IzfvcUvw8LLhiKmyYNEQ7m9HR91RqUawk/tLx3c3uXq9u86LZuP9iMvNbOpHk44YYHDUY5FZ47/XCaiIiM0RxCbt68GQsWLEB6ejpmz56N7OxsbNiwAXfccQcOHz6M+fPnC7/XpZdeivLy8qh/Ly4ujrl8bm4ubrjhBuHliYjM4pXKLq1jKSpa2ruQ4vdJeZF/2ch+8Pt9rq+M8NIYislwA96T1t/O6TFvrWLm767l4Y2e47OewFQ0/BB9b6W6PpKb2rzw93i8A6f8YvNheuHhhFcfNCicfmCm9+Gum6uOiYi8QlMI2dXVhQcffBA+nw8vvPBCd4B42223Ye7cuVi8eDFmzJghHApedtllmDNnjvDn9+3bF9/73ve0rDIRkSm8UtmlZQKISDJvm1srI5QboobWU1j85keqy7qpm6LXb8B70jsBhRe7FTr1u+s5PusNTEXCD9H3XrunQfXvbmjzwt9jdjrycjNNfU+ZefVBA+DeB2aJglOvBpSR2zXtjBynV4mIkpymEHLz5s345JNPMGfOnF4VjLm5uVi4cCHuvfderFixArfffrvpK0pE5CQvVXbFCz8SkX3bZOr2LiLWDZEaN1TaKrx8Ax7JSJW0W8PzeJz63Qv6pAkt1/MYZmVgKvLeBVlpOHayU/V93NDmRb/HcwflIRDINfSduy0k8uKDBrfO+p0oOP3WhEFY/2GDa4dFiCfWdcbA9Xtxx5ThmOri7SIid9MUQm7duhUAMHny5Ki/Kf/23nvvCb/f7t270dTUhK6uLgwaNAgXXHABCgoK4i7f0dGBv/zlL2hoaEBOTg7OOecc/Nu//ZuWTSAi0sVrlV09ww+lCq9J5YbYTdvmBlpm9u5J5mrUSF68AY/FaJW028LzROz+3atqGvHY6zUJl4s8hpkZmMYKxxK998zyophdsSPJ3ua1fI8pfh/urhihOjt2vO/cjO6/ToSYXnvQ4MahaUSC0+ffPxj1b7JXdiYS7zrjcHM77nHxdhGR+2kKIffv3w8AGDp0aNTf+vXrhz59+uDAgQPC7xc5mUxmZiZuu+023HLLLTGXP3LkSNSENueccw4WL16MIUOGCH9uTz53XgMIUbbNy9tIZJfUlMQ3T3dNLUFqypcNTvY2mJriw4Qh+QCAzLQUTdvWUzAUPj379/EOBLLTce4g995g2UHkhiieQE66tPtTLJeWBXDJiEJH9w+r26FohXBd00lX/XZG2PW7V+0VD/NjHcMuLQvgF5Wj8FiMwPSuqSWoKEt8g161tzHq9UU56bi7YoTqe/fNTBUKId3Q5kW+R2UbLh2p/TuP9zsrIdEvKkcl/K3UfieR3xnQf67rea51u8bj4mOAyrLfigSnapTZ3d10XaN2nRH+4v+6cbuIvED2+0O9tGyPphCyra0NwOnu17Hk5OSgtbU14fsMGjQIDz74ICZPnowBAwagubkZ7777LhYvXozHH38cWVlZ+Na3vtXrNXPmzMH48eNRVlaGPn36YP/+/XjuueewcuVK3HjjjVi1ahVycrSPcVFYGHtbvCQZtpHIDvMCuejbNxM/eXU3DjW3d//7wLxM/OjKUZg5emDM17mhDerdtnW7Dml+TbJ7t/ao5hsiH4ABeZmYNnaQK28YZhb1dXoVLGuH087IwcD1e3G4ub375i6WZzYdwLnDCz3RLoKhMLZ+/DkaWttRlJuJiWedEXO/tPJ3D4bCeGLj1oTLJToezQvk4qvnDxPankjrdh3ColW7o373I1+EY7/+5ji8+8PLYr53MBRW3W/c1uZFv8fCwlzMu1D8O0/0O/sAPLHxI3z1/GFxvyeR3ylRu+S57rSSM8XOXSVn5iMQkOPa59TBFkOv/6z1FD5q7cQFJYUmrZH1RK4z3LhdRF7ihvtDq/jC4bDaNXMv8+fPxzvvvIMNGzbErIa86KKLcOLECVRXV+tamZqaGnz1q19FVlYW3nnnHaSmJs5I77nnHqxcuRL33nsvbrrpJs2fefRoK8S/AXfx+U7v3F7eRiIniFZDuLENaqn0qNrbqFo9KVKdkozW7WnAA3/9UPPr+H3qE68dmlnBm6gtKPrnZmDVzRNdESrFY0ZFmRne/6QJC5fvTLjc03PPwcRh8Yf60SsYCuPKZ7YkHKJD7fdOpmOo3vOh6O+8ZN6YmNWG/J3MJfJ9+n3Af11RjstG9rNxzeIT3YfUPDz7bMwsLzJpjawnep3htu0i8gI33h+KULZLhKZKSKXSMF61Y1tbG/Ly9I8ZVlpaivHjx2PTpk2ora3FyJEjE77m61//OlauXIlt27bpCiHDYXjqx48lGbaRyE5+X/QYbmptzE1tUHTbgqEwHkvQpfjxN2pxsWSD08sgkK1tgh9lLL2ppQHL9yO3TfygRc92aMX4cjefPwTLNn+i+prPWk9h+0F5xkrTSm1yB7vHGBMdK/HzE52WtJvtB8XGxlP7vacmGD/TjjZvN63nQy1jrsZ6X6O/E891vfl9iccADYWBe1/dg0d9PinGHBQZ0zuRQHa6q9qi6HWG27aLyEvcdH9oNk0h5LBhwwAABw4cwOjRo3v97ciRIzhx4gTGjBljaIWUiWlOnjypafkTJ04Y+lwiIhLnxsHpZSE6c+4dlwxH0ReTadhxc2tGMOcGiWZJFQnSYn1XfTNShD5f9olG4pFtVlzRsThFl9PK6IRECq9NXGI2o7+z0d+J57poFaUBPHJlOe5fvQchlRtoWWbJFpk8SY0bJ+bz2mSKROQtfi0Ln3feeQCAt99+O+pvyr8py+gRDAaxa9cuAMCZZ54p9JqdO0+X1xcXF+v+XCJZBENhVNc1Yf2eBlTXNSGodnVH5CCzbsBlZHU7VG6I1Nw7rRSXj+qP8YPzbQsgF63aHXXDogRzVTWNlq+DHUSDNLXfPN531XIqKLQOVoViVtMSxthBuclWY+VNtpkhqDJD+ozyItvavFsY/Z2dDjG9qiArTTWABOw9HiRS8UXVceS+1D83A9+aMEj1tfFmbJeZ2nWGsiVu3C4i8gZNlZAXXHABBg8ejNWrV+Pb3/42ysvLAZzunr1kyRKkpaXh6quv7l6+oaEBra2tKCoq6jWZza5du6IqKYPBIB577DEcOHAAkyZNQlHRl+NT1NbW4swzz0RWVlav19TW1uKxxx4DAFx55ZVaNoVIOlZ0D2Q1BVnF6Sokq9hVDViRoBumnZWHdlW4yXB8MlrVZGRmc0B7KCbDd6aQLYwRqW7SepOt5ftmpZE9jP7ORn8nr57rjJLteCBCrep49Jl9pTgfmynedcaAvEzcMWU4prp0u4jI/TSFkKmpqXj44YexYMECXH/99Zg9ezays7OxYcMG1NfXY9GiRRg06MunSYsXL8aKFSvwyCOPYM6cOd3//tWvfhUjR47EyJEj0b9/fzQ3N2Pr1q3Yv38/BgwYgJ/97Ge9PnfNmjV47rnncN5553WHkfv378dbb72Fzs5OfOc73zFUgUneJNPNWyJWdQ/0YldKkoPbbsBFjgdmtEOt67HiPybig0Mtrg7mRMhyfLKja6YaLaGYLN+ZQsYwxswwX+v3bUUISrEZ+Z2dDjG9SsbjgQil6jiSV4dFiLVd08YOwrHP25J2LDoicp6mEBIAzj//fLz44ot48sknsWbNGnR1daGsrAx33303Zs2aJfQe8+fPx44dO7Bp0yY0NzcjLS0NQ4YMwa233oqbbropanKbSZMmoba2Fnv27MH777+P9vZ2FBQU4OKLL8Y3vvENTJ48WetmkMfJdvOmxowqJDvCE6Ke3HQDLnI8sKMaUG09Ztg8O2XPMPTjz48LvUZvRYtMxye7umb2zUxFS3tX939rDcVk+s4UsoYxZoQHer9vmSqavc7I7+xkiOlVsh4PjIgXULpdz+3y+ZB0+yoRyccXDif3c5DGRm9Njd6TzwcEArme3sZY4t1MKGQL5KrrmrBw+c6Eyy2ZNyZu98DKZVsSXgiuXDCRFx42S4Y2GCtYk+kGXPR4YLQdmrUedoj1m4nQs+0yHJ96tsOuoLH1Ed1Pnp57Dvx+n65QTIbvLB6Z9mOzmPF9u6nnhVNkOB8a+Z3inet+cMlwFGSlmfbbu2lf8uLxwOtkaIdEyc6r7VDZLhGaKyGJZCbb7J0iOHMjuZnMXZi0HA+sHN9KpuNSopvGePRWtMh2fLKra+Y4A5OLyPad9eTFyj8zvm+vVlB5jZHfKda57tiJTjzxRq1pvW7c1IsH8ObxgIiIrMcQkjxF5pu3eNw+c6ObntqTNWS9AddyPLByfCtZjktGJlXR293Q6eNTLLJ3zZTxO+tJ5gcPesj+fTuB5/XYep7rqmoacd/qPVHL6B0yQYYhGPT87l47HpAcjB6DeAwjkhtDSPIUN95MuHnmRrc9tafkouV4cNnIfpaNbyXLcUnPpCqiFS3xLvhlnbzAivHl+mam4tpxxZhSUmho3WT9znqS9cGDHm74vu3E83piZle3y1Atb+R399LxgPQxM/QzegziMYxIfgwhyVNEbxLqmk5avCbi3DpzowxP7YnUaDkeWFnhJkvIIRpyzp80GMMLs4VvJNQu+KeUFJp+fDLrZseMrpnPbfkEL22rR0t7F1rau/DMpgN4ZechQzc7XpzwQWb8vr8k63ldtqoms6vbna6Wl/V3J3cwM/Qzui9yXyZyB7/TK0BkJuVmIpGlmw6gqqbRhjUSo1TWRK57/9yMhCdMJTxRY/bMjaJP7YMhD422S66j9XhgpB0aXQ87Qg7RkHPi0ALMKC/CeIFxDZUL/sgbaOWCf2PtUcPHp2AojOq6Jqzf04D/ffcAKpdtwcLlO/HAmg+xcPlOVC7bYvnxvOc6VNc1IRgKY2PtUSzddKDXLNjAl9ueaJ1ivSfgzDHdTPG2S1Zu/77NIut5vaqm0ZE2r8bs6nYnq+Vl/d1l4LZjmRMSXQNoaadG90Xuy/ZjGyG9WAlJniJSzaSQbYIaK7oHWjU4uNNP7bWSrYqC7KHneGDF+FZ2jCMowuyKL9EL/pULJuo+PonM5G11hUOsdeiXnYaOoPrFtto5JlHliFsnfHBrNzi3ft9mkvG8LmtVk9nV7VqXU65pGlpP4djJThRkpaHoi2O31vOIjL+7DNx6LLOT2cMIGN0XuS/bi22EjGAISZ5TURrALRcOxTObDqguJ+OJyOyZG60K22QZ404ET5LWcUO4q+d4YMX4VjKEHGaHoVou+PUcn7TO5G3Fg6V463DkeGfC137Wegrb6prg9/t6bfPG2qNCwYqMEz6otXlZAyNRMn7fdpLtvC7DOInxmP1AR8v7qT2Y0XNtI9vvLgO3H8vsYnboZ3Rf5L5sH7YRMoohJHnSkPwsoeW8diKya3BwWca4S0TkJJnMN51GuCncleV4IEPIYWYYqvWCX8vxSc9M3mY/WDIym7ji3tV7enXX1lpBKdOED4nG/pQ1MNJCpu/bbrKd12WuajL7gY7o+8V7gKHQEwDI9rs7TebwWzZmh35G90Xuy+ZIVGDANkJmYAhJnsQTkbXcMJC/yEnyvzbsxeOpflcEaTJx0xPQYCiMoyfMvQA2QoaQw6ww1MrjrJ6ZvAFg476jpn2/etehp8jxIkUrKGWr0k/U5m+5cKi0gRGJke28bkbAYWW1vtnV7Yneb0pJISqXbRF6Ly0BgGy/u9NkDr9lY/Y1gNF9kfuycSIFBmwjZAaGkORJPBFZS5Yx7tSInCSbIwICQM4gTSZuegIqMp6gQu/xwA1d0mMxIwy18jirtyr1pW31GDsoz5S262SlvExV+iJt/g/b6oXeS6btcoqsxwzZzutGA45Yx/++GSm4dvwgzJ80xJTtMLu6Xe39quuahB+KaAkAZPrdZWgb7NIrzuxrAKP7okz7shuJFhiwjZAZGEKSJ/FEZD0ZxrhTY/TkJ0uQJhu3PAHVOp6gnuOBm7qkW8HK46yRqlSz2q6TlfIyVemLtPnIis94ZNouJ8h+zJDpvC4acJwzsC+q65qExl1tORXEM5sO4OVt9fjh9DJTtsfs6vZ476f1mkbL8jL87rK0DfakEmfFNYDRfVGGfdmNtBQYsI2QGRhCkmfxRGQ9Gca4i8foyU+GIE1GbngCqmUsP73HAzd1SbeSVcdZkQAiHrParsg65GWmIiNiSIe+manCoVwsopUjdlUNibblRNud7L0P3HLMkOW8LhJwTB/ZD9c8u1XzzPXN7V1SfecitF7TaF3eyd9dprbBnlTaWHENYHRflOUY5iZaCgzYRsgMDCHJ03gisp4MY9zFYiTEULArQTQ3PAEVHcvvjkuG4+vnFms+HripS3pPVoVWVhxnRQIINWa0XZF1+OH0sqhtD4bCuO1PH+j+3FiVI5G/3bETnXjizVpbqoZE2/J144qxVGUW+mTufeC2Y4Ys53W1gGP6yH54/v2DUa8RGXdVIdN3noiWaxq9AYATv7tsbYM9qbSz6hrAyL7o9DFMhqEFtNBSYMA2QmZgCEme5/SJiPQzchI3GmIA7EoQixuegIpeTBX2Sdd1keSWLuk9Wd3VzYrjbLwAQoRZbVe0yqPntgdDYV0VlPEqR0THNrWqaki0zd80aQiGB7LZ+yAGu48ZbroBTrSusQKOcwb2xTXPbjX82bIdp9VouaZxUwAg4/mUPam0473Wl2QZWkALrQUGbCNkFENIIpKSGSfxeCfJopx0nOoKxZyYRuF0kCYrNzwBtbpa0w1d0nuSqaubVpEBxBl90vDjdf+yNQTXWuWht4Iy1ntqHdsUML9qSEubZ++D2Ow8ZrjpBlh0XSMDDi2TtCQiy3FaRKIHM24MAGQ9n/JYRnq49XpLT4EB2wgZwRCSiKRj5kk83kky3sD1CqeDNJlpeQLqREWO1dWabuiSrpCtq5sekQGEEyG41ioPPRWUkbSMbdqT1qohkTaqpc2zIiaaXceMROfOWy4ciiH5WVLcLBo5z5sZSMlwnNai5zVNQ+spHDvZiYKsNBR9cU6T9TgejxVtw6zrDh7L5CJ7hbebr7f0FhiwjZBeDCGJSCpWnMRjnSTZlcAYkSegTlXkWF2t6YYu6QoZu7oZ5Za2a7RKQHRs01hEQxotbZRVD/rZccwQOXc+02PMTierI42e580KDmU5TmvlpRt/s9uGmyqBSVys37Vfdhqu+bczVR+s2Blcuv16yy3XVuQNDCGJSCp2nsR5U22M2o1QoiqXR64sx2Vl/SxbNysvptzQJV0ha1c3o9zSdo2EBUZ+E5GQRk8lmtHwQ/ZKFqvYcczQGlo72T3Q6HledOb6MKA6Y7ssx+lkZmbbcGtXWFIX73c9crxT9cGK3YG0F6633HJtRe7HEJKIpGL3SdxLFQWyEKlyuX/1HmA2cNlIa4NIqy6m3PLE2E1dx7Xq2Xa9GG7p/U38PuDYCfUZgp3oNpbsFUpmHzMi9/mG1lO61suJ7oFGz/Naxl19bssneGlbfa8wUrbjdLIzo224uSssxadlWJKeYTMA2wNpr1xv8b6I7MAQkoik4pWTeDITqXIJhYH7Vu+B/4vJLKxi5cWUG54Yu6nruF6i4VYwFMb2g/L+VpFEfrtYYrWtyMAqGArb2m2MFUqnmXXMiLXP52fqu6S3sntg5H437YwcAOac50WDqwUXDMVNk4ZIfZwme4avkLkrLMWmZ1gSkdDSikDaqestLz6EJe9jCElEUkmG0MTrtFSpur0yQfYnxm7qOq6HSLh1aVkA63YdwkOv7HJVFZ7Ib6dGaVsba49GBTV9M1KE3sOMinNWKPVm9JgRb59vUul2nIgV3QNjBaUD1+/FHVOG4+KSQlPO86LBlezHaTXJFDDYMXyFzF1hKZqe30sktLQikHbieivZexiQe/mdXgEiop6Uk7gaN4cmyUBLlapyIUjWUSqGiiJ+l/65Ga6uQBMNt1771xHc+vttUTcmSlBZVdNo5WoaUlEawC0XDtX12s9aT+G5LZ9g0ardUdvecioo9B5mVJxrqVAidXpnTE/E7J4FSlAa+bsfbm7HPat2Y2PtUdPO80pwNaO8COMH53vq2qCqphGVy7Zg4fKdeGDNh1i4fCcql22R+pjllGToRRMMhVFd14T1expQXdeEYCjs9CpZzsrfy4pA2s7rrXjHWTdc2xCxEpKIpOOW8fYoNq3dSFmZYD03dB3XSjTc+vlr+6B2qyZ7Fd78SUPwys5DumbKfmlbve7PNavinBVK5hHtmpiflYamk+rjgirM7lmgFpQq7XDxG7VYuWAiz/MqOISBNl7vRZOsFW96hyURYVXAacf1FnsYkNsxhCQiKXkxNEkWWruRurkywU3c3CUxFtHQKlEYI/s4YUa6ZavNDJyIWRXnyVChZBfRff7OS4ajKDcDjW0dqGs6iaU9ZpCNWtbkngVaKl95no+NAYN2Xh56JJkDaT3nP6UK0clA2urrLY6BSm7H7thEJC0vd7PyuorSAB65shyJfjI3VyaQs8wMrWSvwovXxUtNX8GJSiKXM7vbmFLJokbvcSDZuieK7vNFuRnd584FFwy1dTgGrZWvbjzPW7Hf9XzPl7fXcwgDHbw49IhoIO3lY5/W899dFSM8P6wTexiQ27ESkpJq0Guylh37EvdX97isrB8w+/RMvfG4/UKQnCPSTasgKw3HBLqluqEKL7JqLFGF27XjivGMyt8VP7+iHH6/z7JjqlUVSsnYPVFvl1M7Kw69XvlqxX4X6z1FMGCI5rXqWla8nRbr/LciYpiSyKEcvDzcg9ePs+R9DCGTXDJexJM17NiXuL+6z2Uj+8Hv93n2QpCcIxJu3X1pCf7nzY9wpK0j7riQbqrGjeziNTyQHbdtTSkpTDiWZP/cDIyzofrM7HF+7eyeKNODLyOBbuS+o1Temb1dZozNJ9N33pMV+1289xTBgCE2Lw09woq3L0X+rjdNGqJ6nPBaIN2T18dAJe/zhcNh79ZvC2hsbIVXvwGfDwgEcuNuY6ILH7d2XSD72bEvuXF/TdQGk4msN5VmSoZtlJFaFVFRTjpmnF2E379/MG4IKeOxQwu1/U6246YZbSQYCqNy2ZaEN18rF0w03P7MfPBl5vEh1nppCXSNbJfIdsTb73w4PTmN2n4n68NGK/Y7kfc067PInarrmrBw+c6Eyy2ZN0YoeOV1qXfIdn4ncV5th8p2CS3LENJbP35Paju4nRfx5G127Etu3V+9epKhaLLeOCeL1/51RLXb/3cuPgsrttUnZTWu0cBKNmbflMdj5g1evOPDHVNLUJCVpiuYjBUGAtAdEIpsl5bjXKxlB+Zl4o4pwzFV5f1lvKkOhsJ4eXs9nnjzo4TLatnvRPflWHp+F3wA5l1mX//yulSMW9qU187vycKr7VBLCMnu2EmKY4yQWezYl7i/ksySeeZKPcy+uA+GwnjizVrVZVb94xBeWTAROz9tkf6mwmwydkkzsg9s3HdUaDmR7onx1sPM2YnVjg/3vdo7ONfy4CKya6JIQKh1u3p+P/HGIFWOc9eNK8aUEYXd32Gs/W7a2EE49nlbzJsuWWeE1jpeo5ZusXq60EYGDHwA5m1envVbVm5qUzKe34lEMIRMUhxjhMxix77E/ZVkJeuNs6ysuLgXeUhxqLkdOz9tSdqHFDKNkWZkH6iqacRL2+qFPifReHlq65GXmWrKgy+R40NPeh9ciD4I0fJAr7m9S1P49tK2ery0rT5mhedlI/shNcWnegyU8WGjnvEatYzTKLrsHZcMR2GfdOHhFvgAzFvMHlOX4nNjm5Lp/E4kiiFkkuKsWmQWO/Yl7q8kKxlvnGVl1cW98EOK43xI4TQj+4CWQC/RgPyJ1uO6ccVCn5No3xM5PsSi5cGFlgchom1l476jwmFvpHgVnndXjMA8lW5asj1s1BogA9onghCdXOLr5xZH7QuyPwBzS3dWt2DF25es2rdkb1NEXsIQMklxVi0yix37EvdXkpVsN86ysvLiXvghRTYfUjjJ6D6gJdBT654osh7r9jQIfU6ifU9vu9fy4ELLgxDRtrJWcPtFNbR14J5Vu9G3byYmDMiJuUxBnzSh97LrYaOeAFlrt1gjXW1lfgAmWu3MoFIbVrxZ21Va5jZF5DV+p1eAnKFc+KjhGCMkwo59ifsryYpVumK0XNxrpTykUDMwLxPnDuJDCifp3QeCoTCq65rw+t5Goc+5blyx6s2oyHocO9mJ/Cz1UEzkwZeRdm/2A47Gtg6htlKQlYamk51C76nVvX/+AFsPHEMw1HtQyKqaRvx47YcJX2/nw0YtAXL/3AzdldxKV9vI3yXRe8r6AEypMo5sY0qV8Wt7j3QvV7lsCxYu34kH1nyIhct3onLZFlTViLVzcg/lGL5+TwOq65qi2r+oRPuW0X3HjjZl1ndB5HashExiHGOEzGLHvsT99UusHpAHq3TFWHlxL1JN9KMrRyHF7/PULIRuo2cf0DopCABMGVFoynpcXl6k2iVZ5MGXyPEhHrMfcARy0oXayswE221E08lOfPePH/SqXNIy7mLP79zq86CW8RpjdZfWQk9XWxkfgIlUGd+/eg92jWvBC9XR+5jM4+6RPmZVLtrRVdrqNuWmCW+IrMYQMslxjBEyix37EvdXXsTIhjNXirH64l7tIcVdU0swc/RANDa26npvMofWfUDPpCBmVidOGVGIsYPyDD34Ejk+xKLlwYXWByGJHujlZaZaFkIqlLDpkSvL8cQb6jPbA0D/nAzcWWHvjNBGxmvUQ2tXWxkfgIlUGYfCiBlA9qQ3TOIDWrmYOQ60HV2lrWxTbpzwhshKDCGJY4yQaezYl5J5f+VFjJxYpZuYHTfM8R5SpKbwJlQGWvYBPZOCAOZVJyrrkeL3GX7wFe/4YHQ7FHoehKg90AuGwrqrN7X6xWv7cEyg6/ePZpbhvKEFAMQmFZoyotBwACX7Ayat62dHQGdW1289YRIf0Orjlkle7OgqbVWb54Q3yYMPQsQxhCQicgFexMiNVbrq7LqhT+aHFLLTsg9U1zVpCsHMrk7suS+asU/FOj4cO9GJJ96sNeXBhZ4HIfG2S+T7ueXCoWht7zJcMSkSQALA5ydOLydyHnxpWz1e2lZvSgAl+wMm0fWzK6Azs+u3ljCJD2j1kWGSl5e316OwT3rCaya7hh+wos1zwpvkwAch2jCEJCJyAV7EyI8BmDrZb+gBPsW2mug+IBpAfG3smbi0LGBadaKV+2Ks48PU0oBp+5sZD0KU/b+zK4TvXDgUK3YeUv1+YnVXt4ISLGiZsdqsAEr2B0yJ1s/OgM7IGKiRRMMkmR/Qynw+qdpr7X4hegx/4s2Puv9/tcDGzN4Ukb/LOQP74oNDLd3/PaWk0NQ2L+skUmQePgjRjiEkEZEL8CKGvEDmG3q3P8WW+Ya3J5F9QDSAuLQsoDv4l2FfNPvBhZH3i7X/98tOwy0XDsWQ/KyY349ohaea/ASzcfcMFvSc38wIoGR5wBSvjcdbP7sDOr1joEbSMjSHrA9ozTyfmH1sD4bCeEySSV56UgtszOpNEet38ftOj1WqMPu8L+MkUnZyy7WJXjI/CJEZQ0giIhdI9osY8g5Zbuh7cvtTbLcFqIn2Absm3ZBxX3RCvP3/yPFOPLPpAB6tHBX3e4pX4bmtrgn3rt6DlvauuJ/bPzcDP5gyHPet3hN3mZ7Bgp7zm1d6COhp40YCOr3BQUVpAI9cWY77V+/pFexooWVoDhkf0Jp5PrHi2L7148+lmOQlnniBjdEK9ni/S+R+avZ5X8ZJpOzitmsTPWR9ECI7v9MrQEREiSkXMWq8ehFDZCXRp9hBvXfUFlNurCIvgpUbqaqaRofWTD+l6kUNZ503hxX7f4rfh/OGFuD+6WWqy905tQSXjeyHRytHRZ3f+udmRIUAIufBWNzeQ0BvG9cb0FXVNKJy2RYsXL4TD6z5EAuX70Tlsi3Cx5LLyvrhZ7PLVZf51oRBQr95IrI9oDWzPYn87sFQGNV1TVi/pwHVdU1C79vQ2p5wGcCcSV70UAKbWCpKA1h18yQsmTcGD886G0vmjcHKBRMT7jN6Jjsz67yfrOczL16bxCLjgxA3YCUkEZELyD5TpxO83sWD7OHmp9he7gbkhjFEvcDK/T/eb1iQlYaZ5UXIy0xFMBQW7hqvt7uvm3sIGGnjegI6s6r4LhvZD36/T7X93nbRWYbP4bJVmZnVnkR+9//asBePp/o1V5kV5Waqvq/CqkleRKgFNnoq2LWMJ6sw87yfbOczL1+bRJLtQYhbMIQkInKJZLuIUZMMXTzIHm5+iq31hle24D7R+sgwbqPXWb3/9/wNt9a34C/b6nHsZGfMWaxFbva1Bhtu7yFgJNTSGtCZHRwkar9mDIcg2wNas9qTyO/eHGOoA5GweOJZZ9gW3EbuA0dPdPSajCYeswMbvccvM8/7yXQ+c/PDXa1kexDiFgwhiYhcJJkuYuJx+/h9JBc3P8XWcsMrW3Afa33yM1Nx+aj+mDKiMOGkGzKQLdTVw479P8XvQ0t7F557Zz8iOzfqOW73PA9u3HcUL22rj7tsrADKTb+bkVBLa0BnRXBgR/uV6QGtWe3JaPilFhan+H24u2IE7rEpuO25DwRDYbzw/kHbAxu9xy+zz/syn8/MJMPDXbuO87I9CHELhpBERC6TLBcxsSRTFw+yh5ufYoveINU1ncTSTQei/t2M4F7PhX68BwlN7V0xK+RkZEWoa8dNU+RnnDOwr+X7vzIbr9roalqP28p5cPzgfIwdlCccQMkWxidiNNTSEtDJEBzEo6dq+pyBffHBoRas39NgW9hs1vnEaPiVKCyuKHMmuHUqsNEzUY6s5/1EZHjI4vTDXbuP8zI9CHELhpBEJpLhwE/kZcnUxYPs4ean2CI3VkU56Vix85Dq++gN7vVc6ItOECBzZbMV1dh23DTF+4wZZxfh+fcPxn2d0f3f6uO2aA8BN1bRmxFqxft+AKC6rqn73wr6pAmtk91V4aJto+cD2qqaRlzz7Fbbw2azzidGZpdWJAqLE7Ubq+5pnAhs9IwnK+t5X40sD1mcfLjr1HGePdW08YXDYTmne7RJY2MrvPoN+HxAIJDr6W2UiSwHfpIH26D51u9pwANrPky43MOzzsaM8iJDn8WHCt4g2g5jHcPd8BQ73gW34pYLh+KZGFWQkZbMG6MpAEr0ufEu9KvrmrBw+U7hz+mfm4GVCyZK0/aCoTAql21JeHOlZZ31fpdaJPqMb00YhPUfNliy/9t53I7Hit/NjHUSOcdYsX/EOt71y05DRzAcc6xBhd3fkZ5tt6M9KeL9hmacTxJtRyKxjulGzodm39M4cY0Va7v8PqDnJNhuOO/HYud+L+v6yHicj8Wr94fKdolgJSSRCdz4dJ3Ijezq4sGHCs5y4ubErU+xE1WVdHaFhN5HSxdLI8MiaO3KKVtls9lVfXYMMSHyGRv+dQQr/mMiPjjUYvr+73TXPEC+Knot5xizK8fiXbMeOd6Z8LV2VofpaRt2DtmS6Dc0ej4xMru0kSozu+5pnBhaSK3bvpvO+5FkHKpIy3HLrGs+K47zLEiwBkNIIoNkPPATqXHzCdWOLh58qOAsJwNgt463qnbDW13XJPQeWgIgIxf6eoImmWYmN3vcPDvCMdHP+OBQiyX7v3LcPtLWEXdcSKvHX9P6u1l5ntRzjjHrIYnINWteZioyUv1Rx+CrxwxEZ1cI1XVNtlw36GkbdoXNor+h0fbU83dvaD2FxW9+hKaT1oXFyXBPE+s878bzfk+yPWRRiBy3zLzmM/v8zIIE6zCEJDJI1gM/USxuP6FaPX5fMlyAyywZAmCrwo14AaoVwb3oBfzGfUej1knPWGcyzUxudlWfHeGY0xOOKLPxOjnuqpbfzcrzpJFzjBkPSUSuWZvbu/D03HPg9/vQ2NaBuqaTWLHzUK9hHey4btCz39qxr9t9naD87tV1TUIB5HcuHKr7d/HqPY3R867sD++t3u+NbL/accvsaz4zz8/JcD3qJIaQRAY5fXFPJMorJ1QrBzX36gW4GyRDAOzEQwArgnvRC/2XttVj7KC8qMkjtEwQINsMpWaHunaEYzJ0h64oC+DX3xyHh17Z5ci4q6K/27ETnbhv9Z6ov5l1nnT6HCN6Lfr5iU7MKC9CVU0jlsYYU9aO6wY9+60d+7pTv6Hobzc4P8vyz3DTPY3R864bHt5bud9btf1WXPOZdX5OhutRp/mdXgEit5Ph4p4oEdETajDkjhGSK0oDWHXzJCyZNwYPzzobS+aNwcoFEw1fEHrxAtwttNzYuZHyECByG5Wb+aqaRss+WwnuiyLOQ/1zM3SFCMqFvohYx5V46xNLz4A0GAqjuq4J6/c0oLquyZHjlRKiqtES6op8l0o4pnf/Ef0Mq8PemaMH4tVbzD9uixD53X5wyXA88Wat6jJGz5NOn2O0XLM6fd2gZ7+1Y1936je0437Da/c0Rs+7Wl7v5PlJdL8/Z2BfTeto5XWLFdd8Zp2fvX49KgNWQhIZZMcYdURGOV19YQUrxu/z2gW4mzh9c24lGZ6qmznxjpZqxnjHlZ7rs3HfUazd09Crq2FkhZxM1ShmVmOLfJc/uGQ4nngjcTgWb/+xehgLLZwcdzXR75aXmWr5edLpc4yWa1anrxv07Ld27OtO/YZ23G946Z7G6HlXy+s31h61rFpQ5Jwtst9PH9kP1zy7VXgdrb5useqaz4zzs5evR2XBEJLIIJku7oni4QlVjJcuwN3G6ZtzKzl9M68wMwCqKA3gunHFeGlbfcJl4x1XlPUZPzgf358yPO7NloxDSZgZ6toRjlk5jIWbqP1u6/c0CL2HkfOk0+cYLdesMlw36Nlvrd7XnfoN7bjf8NI9jdHzrujrn9vyiSVDFmh98Ka2308f2Q/Pv39Q0zpafd1i5TWf1vNzZNhb0CfNsnWj0xhCEpmAF/ckOy8HPGby0gW42zh9c24lGW7mrTBlRKFQCClyXIkXkMpQRRqP2aGu1eGYmcGpm8X73ew4T8pwjhG9ZpXlukHPfmvlvu7kb2jH/YZX7mmMnndFX5/oHKjn/KT3wVus/f6cgX1xzbNbNa+j1dctWq/5tE6OI3p+jhX29stOQ15mKprbu4TWjbRjCElkEl7ck8y8HPCYzSsX4G4jw825VWS5mTebHccVK6oxZJ3p1I5wzMnu0DLquS+c0SfNlvOkDOcYkWtWma4b9Oy3Vu7rTv6GdtxveOGexuhxU/T1LSpBFaDv/GTkwVvkfl9d16TrHGr1dYuWaz6rhmOJF/YeOZ54Fnq3Xo/KgiEkkYl4cU+y8nLAYwUvXIC7kQw351aQ6WbeTHYcV8yuxpBpbElRXt1/nBZrX+ibqX5rZNZ5UoZzTKJrVl43qDPyGxp9EGLH/Ybb72mMHjdFXt83MzVhCAloqxY0+8Gb3nOoHecdkWs+q4ZjEQl78zJTkZHq99T1qCwYQhIRJQmvBjxWcfsFuFvJcHNuNi/fzFt9XDGzGkPGsSVFeHn/cUq8fUEJFCK74llxnnTDOYbXDer0/IZufBDiRkaPmyKvv3ZcMZ6JMR5kJC3VgmY/eNN7DrXrvKN2zWflcCwiYW9zexeennsO/F+MkeuF61FZMIQkIkoiXgx4yHvccHOulZdv5q08rphVjSHz2JIivLz/2E1kX8hI9eNXc8/BsROdSX+e5HWDeZx8EKJUX5462IKMUCgpfkOjx81Er59SUohXdh4ytVrQ7G7QRs6hdp134l3zWTk5jmiI+/mJTswoL9L03pSY7hBy586deOqpp7B9+3Z0dXWhrKwMN954I2bNmiX0+r/85S+477774v79d7/7HSZNmmT65xIRJTsvBjxEbuDlm3mrjitmVWPIMkO5EV7ef+wksi80tHUgxe/jzecXeN1gnJMPQpK5+tLocTPR682uFjS7G7TRc6iT5x0rJ8fx6ljdbqErhNy8eTMWLFiA9PR0zJ49G9nZ2diwYQPuuOMOHD58GPPnzxd+r0svvRTl5eVR/15cXGzp5xIRERHZjTfz2plRjeGVGcq5/xhnx74g6+RH5BytD0LM2ofcOgyFmYweN9Veb3a1oBXdoOOtY9/MVFw7rhhTSgoTrpMT5x0rg0KOtewszSFkV1cXHnzwQfh8PrzwwgvdAeJtt92GuXPnYvHixZgxY0bMEDGWyy67DHPmzLH9c4mIiIjIHYxWY7DqgRRW7wvJXHVG8WkJv83ah9w+DIVbmF0taEU3aGUdn9vyCV7aVo+W9i60tHfhmU0H8MrOQ1Ien6wMCjnWsrP8Wl+wefNmfPLJJ7jiiit6VTDm5uZi4cKF6OzsxIoVK0xdSSc/l4iISBbBUBjVdU1Yv6cB1XVNCIbCTq8SkW2UaowZ5UUYPzhfVxc3Nax6SA5W7gtK1VnkTbNSdVZV06j5PY2Idc7gecQZoqF2XdNJ0/YhLdWXgPo1htH9xuv7nZHzUywVpQGsunkSlswbg4dnnY0l88Zg5YKJhoLCjbVHsXTTgagZvZ06PiWiBIVqjASFStgbeT7on5uRFBXCTtJcCbl161YAwOTJk6P+pvzbe++9J/x+u3fvRlNTE7q6ujBo0CBccMEFKCgosPxzFT4Ph9vKtnl5G4lkxjZIZqra24jHYlRG3F0xAhVlvFCKh+2QACA1xYe7K0bgHpWqh7umliA1hTuKFWRqh1btC6JVZ5eMsKfqLNY5o29mKnxAr5m/eR6xx7mDEld1FeWkY8XOQ6rvo2UfajwuWH15vANv1MS/xgBg6Poj0fVLMBTG9oPNaDzegUB2Os4dxOELgNPHqglD8k15L9mOT6IuLQvgF5Wjovaf/rkZuGtqieHj1qVlAVwyotDW/U+m86GZtGyP5hBy//79AIChQ4dG/a1fv37o06cPDhxIPFW94vnnn+/135mZmbjttttwyy23WPq5isLCXM2vcZtk2EYimbENklHrdh3ColW7EVk3cOSLp9e//uY4zBw90JF1cwu2Q5oXyEXfvpn4yau7cai5vfvfB+Zl4kdXjmIbsoEs7dCKfeHd2qNCVWcftXbiggRjsBkV75wRWQEF2HseCYbC2Prx52hobUdRbiYmnnWGVIGH1X569Wjc+vttANDrt1G+gevPH4onXqtRfQ8t+1DJmWIh5NFTIfz3ax/GvMaIF9aL7jeJrl9uufgsrPrHIVPaYbLvX2pkOj5pNS+Qi6+eP8zS33ZmUV/T3kuULOdDJ2gOIdva2gCc7gYdS05ODlpbWxO+z6BBg/Dggw9i8uTJGDBgAJqbm/Huu+9i8eLFePzxx5GVlYVvfetbpn9upKNHWxH2VjV4N5/v9M7t5W0kkhnbIJkhGArjoVd2RV3AA1/exPxo5T9xblE2L7ZjYDukniYMyMEr/3FezKqHxkbt15EkRsZ2aPa+UPtpk/BypXnWjD0aDIVR/UkT7l29J+Y5Ixa7ziMyVfM7VXk3YUAOHo1R1VX0RVVXRzAk9D6i+9Dw3DSh6ssXNu9XvcaIRWS/Ebl+WfrWx1F/O9TcjoW/34ZfVI4S3jdk2r9kJMPxyajSvPTudTv2eZvDa6OfjOdDMyjbJULX7NhmmDhxIiZOnNj935mZmbj66qvxla98BV/96lfxy1/+Etdddx1SU61dxXAYnvrxY0mGbSSSGdsgGbH9oNiYTtsPNnPWXBVsh6Tw+6Jn+uS+YQ/Z2qGZ+0IgW3DCm+x0S76DWJOZaGHleURthuZ7bJ6h2emJg6aWBnBxnElMlr0r1qtPdB/y+xJPvnH1mIF4ZpP23oQKtf1G5PpFzeNv1OJigUlzZNq/ZOX08YmiyXY+tJPmiWlycnIAIG7VYVtbW9xqRRGlpaUYP348mpqaUFtba9vnEhERyUjLjJpEROQMJyc/ijchjlZWnEdEx6KzY6ISWSYOijWJSVVNo1AYqHUfSjT5xpD8LM3rHynefmN0f/qs9RRe3l6vOpmNTPuXzDg5G8lEc5nhsGHDAAAHDhzA6NGje/3tyJEjOHHiBMaMGWNopZSJaU6ePGnr5xIREclGdEZN0eWIiMh8ykyualVnRmZyjUckhBFlxXlEywzNVlbzi4ZVUwQq7xJ9TqwqR6PrptCzD1WUBjDli+rLU34/MkKh7vWqrmvS9F6xxNtvzNifnnjzo+7/P1bFanVdkxT7l+ycOj4RxaK5EvK8884DALz99ttRf1P+TVlGj2AwiF27dgEAzjzzTNs+l4iISEZ8ek1E5A6Jqs6s6BIqEvKJsOo8Iks1v5YwVK+qmkZULtuChct34oE1H2Lh8p2oXLYlYYWl6G/4nQuH6t6HUvynZ1q+amwxJgzJ7w6bRK4x1KjtN0bfO1JkxWpVTSPuezV+qNYTe4s4c3wiikVzJeQFF1yAwYMHY/Xq1fj2t7+N8vJyAKe7SS9ZsgRpaWm4+uqru5dvaGhAa2srioqKenWX3rVrV1RFYzAYxGOPPYYDBw5g0qRJKCoq0v25REREXsCn10RE7tGz6kxLNZxeZoUrVp1HZKnmtzoMVRuXcFGCcQlFP3OwCV2nI4lcY6hR22+Mvnc8i9+oRSgUxn2r9wi/hr1FTrP7+OQ1eiqdKZrmEDI1NRUPP/wwFixYgOuvvx6zZ89GdnY2NmzYgPr6eixatAiDBg3qXn7x4sVYsWIFHnnkEcyZM6f737/61a9i5MiRGDlyJPr374/m5mZs3boV+/fvx4ABA/Czn/3M0OcSERF5hfL0OnIw/f65GbhzagmfXhMRSUQZ868nq25etYQreZmnb/2a27u6/83q84hSDadW6WdHNb+VYajRrt5OB7WJrjEA6L7+UHvv6SP74fn3D2pe389aT+HR18WHIGBvkd5iHZ8oMacntfISXVNPn3/++XjxxRfx5JNPYs2aNejq6kJZWRnuvvtuzJo1S+g95s+fjx07dmDTpk1obm5GWloahgwZgltvvRU33XQT8vKiDxRmfC4REZEb8ek1EZE7WXnzKhLy9c1MxSNXlHcHD3aeR2Sp5hcNQ88Z2BfVdU2avh+j417KENQmusYwcv2h9t6jz+yra1b3ppOdwsuytwgZpbfSOdbDp9QU7ou+cDhZJwY/rbGx1bNTo/t8QCCQ6+ltJJIZ2yCR89gOiZyXzO0w3s2rwoyx2Oz4DKNiBbF2V/Mn+p6+NWEQ1n/YoDksXr+nAQ+s+TDh5z8862zMKC+K+Tc7fkNZ22HPoOboiY5ek9EYkZeZih9OL3N83yd3C4bCqFy2JeFDgpULJvYKu+M9fLq7YgTmXXiWdO3QKOX4IkJXJSQRERERERHFJ9JN9/GqfYZnZHbDkB0yVPPr6RosMqajGd2p3fAbWqVn9+BgKIwX3j+oGvgUZKXhmEAl5CNXlOO8oQVmrSYlKT2VzmqVk/es2o2+fTMxYUCOFavrCgwhiYiIiIiITCZy89rQ1oHntnyCBRcMNfRZMoR8icgwFl2s7+mcgX1xzbNbVV+nNqajWd2p3fAb9mTFOKci3ffvuWwEnnijNuH3PY7jHpIJtE5qJfLw6Sev7sYr/3Ee/D4527bVGEISERERERGZTPTmdemmAxgeyDZc7SZDyOcGkd9TdV2ToTEdzRz30i2/oZXjnIpUhfp9PsfHGaXkoLXSWeTh06Hmdmw/GPt4kgwYQhIREREREZlMy2zGapV2ZC2tlU6xJFN3ar2TdCQSWVm54j8m4oNDLTErLZPp+yZnaa10Fj6eHNc2GZOXMIQkIiIiIiIymcjNq0Kt0i5ZWdHdNxYzxnQE4nf1/uBQC9bvaZC+e7UIka6megJ1tcrKeJP5uK37ejKwq83aSWuls/DxJFv8IZXXMIQkIiIiIiIymcjNa0+iFTTJwMruvpHMGtMR6N2duqqmEdc8u9WWbbCLnkk6EjFSWelU93Uvhm1G2dlm7aal8lbkeDIwLxPnDkp8PPEqhpBEREREREQWqCgN4JYLh+KZTQcSLqul+7aXWdXdNx4zx3RUiGyDG6v4jHZdjwzvzhnY15LKSit5OWzTy+w2K2PIK1p5K3I8+dGVo5Di9yEctnqt5cQQkoiIiIiIyCLzJw3BKzsPmVJp53VWdfdNREulU6KARGQb/mvDXjye6jc1yLIjuDHSdT1WeJefmYqm9i7V95JpqILX/nUE963eE/XvscI2GYM0K5jdZmUOeUUrb9WOJ3dNLcHM0QPR2Nhq4ZrKjSEkERERERGRRayotPMqK7r7ihKpdBIJSES2oTlG8Gak0tOu4EZv1/V4lXKJAkiFDEMVvLb3CO7/a3QA2ZMStm2sPSptkGY2M9us3VXQVop3PElN4XHe7/QKEBERERERuV0wFEZ1XRPW72lAdV0TgqEv+9oplTFFERVi/XMzXHVjbTUzZqo2Qql0mlFehPGD86MCyEWrdkcFLkpAUlXTaMq6LX6jtte+k4joeplBCdTVRAbqIpVyiTg9VEFVTSPue3UPEv0sn7WewnNbPrHt95CBWW1WtKJSS9twmtrxJJmxEpKIiMhDkqX7DxGRTEQq0Tibb2JmzVRtNi1dTo2um5ZKTy3rZVYFlpau64BYpZwap4cq0BqivrStXvXvsoxxadb1ollt1skqaLIXQ0giIiKPkHkcHSIir9LShdCp2XzdwsyZqhVmhC1aAhKRbUhEtLpMy3pNGJKve30iaQnUjVaGOj1UgdYQtcUFY1yaeb1oVpt1ugqa7MPu2ERERB5gZ3cscje1LqNEpI0XuxA6SU93XzVVNY2oXLYFC5fvxANrPsTC5TtRuWyL5nOiloBEZBsSEa0u27jvqNByVgQ3ol1NRbclPyut139bOVSBlvOgFd+dk0Ga2deLZrVZWaugyXyshCQiInI5p2YTJfdhtSyRudiF0Hxau/vGY+YkF1oDknjbUJSTjlNdoZgT0yhEKz2rahoTdv2NXC8niFbK/WX+efjgUIvlQxVoPQ9a8d059XtYdb1oRpu1ogo6EocskgNDSCIiIpfjTTCJ8NKsk2QO3pAZxy6E1jA6fqbZYYuegCTeNmysPWp4pnQt4xQ6Paai6Ozw6al+y69R9JwHzehe35OTv4eV14tG26zofqL3HMWHsPJgd2wiIiKX400wJcIuoxTJrG6qyY5dCK1jZGZZLWGL6Lro6XIaaxvMmCldyziFTo+pCMgxO7ze86AZ3et7cvL3sPp60ehs0FbtJxyySC6shCQiInI53gRTIqyWpZ5YFWseO7oQknZWhC1mdRNX3stI1Zjoel83rliatuz07PBGzoPxfns1+VlpaDrZ2f3fevYTs8l+vRgMhZGXmYrbLzoLx052oiArDUVfHD/17iccskg+DCGJiIhcjjfBlAirZUnBGzJzWd2FkPSxKmwxM0gzMlO66HpPGVGo6/2t4uTs8EbPg8pvv62uCfeu3qM6C7adY1xqIfP1olp3aSPfGx/CyofdsYmIiFzO7NlEyXtkr34g+5jdTZXk6GpKvSlhixq9YYvRLqdmsHL7vMqM82CK34fzhhbg/ullqu/Rc4xLJ/eTSLJeL1rZXZoPYeXDEJKIiMgDeBNManjDSgrekFmjojSAVTdPwpJ5Y/DwrLOxZN4YrFwwkcdeh8gatpjF69tnBTPPg7JdcwVDYVTXNWH9ngZU1zWpju9sdN21fJbouls5ZjUfwsqH3bGJiIg8wunxlkheol1GAaC6ron7j4fxhsw6TnY1pWhmjuEoI69vn9nMHjrBzGuuYCis+330zPqsd92tmGHa6u7SMndBT1a+cDic1NMgNja2wqvfgM8HBAK5nt5GIpmxDRI5j+2wt1g3EMoNKwDTby5IPsFQGJXLtiS8IVu5YKJpATTbITnJSMDjBqLbx3Z4mtp50IlznZFgL94kY4rrxhVjyohCU/b5RJ+ltwJ0/Z4GPLDmw4TLPTzrbMwoL9L8/oB1666HV9uhsl1CyzKE9NaP35NXd3Ait2AbJHIe22G0WDesG2uPSnOBTtaz+4aM7ZDIeWyHX5IlmDZyLBZ5oKQw+kDRyodX1XVNWLh8Z8LllswbY6jSPFbYW5CVhpnlRaYFtSK82g61hJAcE5KIiIgoiUROqgDA0vGYSD6yjWdGRGQnkcmFzB77MNb7Gzn3inRjVhid4MXKCc3sGrO657i9140rRn5WGo6d7MRL2+qxcPlOVC7bYmgCHBLHMSGJiIiIkpjV4zGRnDiGLLmNLNVr5H1WjH0Yyei5V8/kYYvfqMWUkkLN7cbKCc3MHqsz0Wc1t3fhpW31UX9Tglo+iLMeQ0giIiKiJMbZkpMXJ1LxJi+GdXaEQkRA/C7SZodUes+9Svv+6OhxzZ+p94Gi1ROa2TXJkmj1qZ6glsQxhCQiIiJKYpwtmcg7vBjW2RUKJeLFcJd6szOk0nPujdW+tdLzQNGOGabtqM5nzw85MIQkIiIiSmJ23FwQkfVkCevMJEvlkhfDXRHJFrzaGVJpPfcmmsRGlJ4HinZ1mTa7Oj9y/21oPSX0Ovb8sBZDSCIiIqIkZud4TERkDVnCOrPJULnkxXBXRDIGr3YOT6Ll3CvSvkUYeaBoVpdpu4LtWPtvfqZY/MWeH9ZiCElERESU5Owaj4lIRl6o9pIhrLOC02PWejXcTSRZg1e7hycRPfeKzoR9aVkhXt97NO7fjTxQDIbCyMtMxe0XnYVjJztRkJWGoi9CTdH3tCvYjrf/NrV3JXwte35YjyEkEREREXG2ZEpKXqn2cjqss4rTY9Z6NdxVk6zBK+DM8CQi517Rdjt1RD9MP7u/6Q8U1Y6TsfaBWA92NtYetSXYNlo1yp4f1mMISUREREQAOFsyJRcvVXs5HdZZxekxa70a7qpJxuBV4dTwJInOvVra9/jB+aY+UNR6nIwVWPbLTkNHMKz6OWYF26JVo/lZaWg62dn93z2DWi9Ux8uMISQRERERESUVr1V7OR3WWcXpMWs/aToptJzbwl01ooHq1gPHPBnOyDg8idb2bdYDRa3HyXiB5ZHjnTFe2ZtZwbbo/nvnJcNRlJsRFTR6pTpeZgwhiYiIiIgoqXit2svpsM5KToVCVTWNeGbTgYTLuTHcVSMaqP5mSx1W//MzT4Yzdg1PIlpx51T71nKcHFucZ3jyHDMqikX336LcjKhju5aqT1ZL6scQkoiIiIiIkooXu9nKWMFlFrvHrNUyrpxbw914RKruFG4cukCU1cOTaK24c6J9azlOinaDVmNGRbHeqnAtVZ8ba4+yWtIAhpBERERERJRUvDqGopcnmLJzzFrRQOU7Fw4VDh3cUjklUnUXyU1DF8hA73i0drdvLcdJow9szKoo1ls1Klr1+dyWT7A0RoW02m8X2fannZGjYYu8hyEkERERERG5npaQR6Raxu8Djp1IPJaZbKwM69wSpBklGqgMzs8SWs5t48zFq7qLx01DFzjN6Hi0dobxWqoKd9Q3G/osMyuK9VSNirb5l7bVq/798ap9vX67WG1/4Pq9uGPKcEyVsO3bgSEkERERERG5mtaQR6RaJhQG7lu9B36/T8qgyG5uC9KMMLNS1q2zsCtVd8ve3Y9nN9clXN5NQxc4yU3j0WqpKhQJLPMyU5GR6relO7nWqlHRNt/S3qX694a2Djy35RMsuGBo3LZ/uLkd90jc9q3md3oFiIiIiIiI9FJu9CJvfpWQp6qmMebrKkoDeOTKciQqvln8Ri2CobBZq+tKer9jt1ICFTUi3UdFq95k3b9S/D6cN6RAaFm3DV3gFLeNR6tUFUa2h/65Gb1CNCWwVPPD6WVYdfMkLJk3Bg/POhtL5o3BygUTLQvilKrRGeVFGD84X7XSUqTN980Uq+FbuukAXtt7JG7bV1q7zG3fSgwhiYiIiIjIlYyGPAVZaUh0D6hUJSUrtwdpeogEKiLdR7VUvcnKrECWTnPjeLQVpQGh8FAksNQSDNpJpM1fO65Y+P1+8VrioQxkb/tWYXdsIiIiIiJyJaNdG91WleQEO7uPyjTmpBmzEXth/9I70QfFpnf2ZqeJjkXp5smxErX5KSWFeGXnIaFxUo+dFBtPWOa2bxWGkERERERE5EpGQx43ViXZza4gTcYxJ40GKl7Zv7QEsjIFyTJKhlDXzslzzN7fErV5rTPHJyJ727cCQ0giIiIiInIloyGPW6uS7GRHkCbz5C1GAhUv7V8igayMQbKMzKiyFeXmUDjRulu1v6m1+YrSAG65cCie2XQg4fvkZ6WhSaUi0i1t32wMIYmIiIiIyJWMhjzJUJVklNVBmuiYk1NKCl33O3ht/1ILZ2QOkmVkR7dlN4fCidbdyf1t/qQhCbtl98/NwA+mDMd9q/dE/c2H05PTuKntm4kT0xARERERkSuZMYGI6OyvycqsSVri8cLkLWqSYf9KxsmLjAiGwqiua8Jr/zoCALhsZL+Ek7Qor1m/pwHVdU0Jv0s3z2ifaN3VZp5WWLm/iR4TLxvZL2bbH5CXiV94pO3rwUpIIiIiIiJyLTO6Nso0mYKM3Set7D7qhclbEpFp/7KCnZMXuZ2e6kStr3FDdXG845zIuv/itX0JJ36xen8TPSbGavvTxg7Csc/bEE7STJ4hJBERERERuZoZIY+dkynEI3P3SauCNK9M3pKIDPuXVZIhSDaDni7Eel4jeyisdpzLy0xNuO6yzDwtekzs2fZ9Pnjm4YNeDCGJiIiIiMj13B7yuGFMvXjfsZHqTS9N3pKskiVINkJPdaLeikaZQ+FEx7nrxhWb9ll27G9uP+84gSEkERERERGRg9zQfTIeo9WbXpu8JRkxSE5MT3Wi3opGraGwXUNAiBzn1u1pEHovZXKXeJJ9f5MZJ6YhIiIiIiJykFsnZzFr8otkmLzFy6yevMgL9FQn6q1oVEJhNUpIV1XTiMplW7Bw+U48sOZDLFy+E5XLtlgycY3Ice7YyU7kZ6UlfK9Ewykm+/4mM1ZCEhEREREROUjm7pPxmF296fXJW7zOysmLvEBPl3W93dxFq4s31h61dQgI0ePX5eVFeGlbva7P8PuAn80uT/r9TWYMIYmIiIiIiBzkxjH1rJj8ws7x1WSchdzt3BwkW70/6OmybqSbe6JQeEpJISqXbVFdZ7OHgBA9fk0ZUYixg/Ki1r0gKy3hpDShMFDQJ3ElJTmHISQREREREZGD3DimnhurNxUyz0Ludm6cqMPK/aFnuHnNmIFYuulA3GUjuxAbHS9VLRSurmuyfQZtLce5FL8vat0bWk/hobX/Svg5Mh5z6EsMIYmIiIiIiBzkxslZ3Fi9Ccg3CzkrMp1l5f4QK9zsm5kKH4Dm9q7uf1Prsm60m3u8UNiJhwhaj3OR615d1yT0ObIdc6g3hpBEREREREQOc9uYem6s3pRtFnJWZDrLyv0hXrjZ8kX4eMuFQzEkP6tX8BwvkLaim7tTDxGMHOfceMyhaAwhiYiIiIiIJOCmMfXcWL1pxTiWeslWkZmMrNofRMLNlR8cxsoFE7vbR6JA2uxu7k4GenqPc2485lA0v9MrQERERERERKcpYcOM8iKMH5wv9Q21UtVUFFEt1T83Q8oQTZZxLEUr8IKhsKXrkeys2h+0hJvAl4F05GuUQLqqplHT54tQAj01VgZ6eo9zsh9zgqEwquuasH5PA6rrmtiGY2AlJBEREREREenipupNWcaxlKkiM5lZtT9oCTedHCLAbUNAKGQ95nB4BTEMIYmIiIiIiEg3t8yILMuYcrJUZCY7q/YHLeGm04G0rIFeIrIdczi8gjhd3bF37tyJm2++GRMmTMDYsWMxb948rFmzRvdKNDc346KLLsLIkSPxH//xHzGXGTlyZNz/3Xvvvbo/m4iIiIiIiLzP6S6oClkqMpOdVfuDEm6qUcJNGQJpNw0BISMOr6CN5krIzZs3Y8GCBUhPT8fs2bORnZ2NDRs24I477sDhw4cxf/58zSvx05/+FG1tbQmXKy4uxjXXXBP17+Xl5Zo/k4iIiIiIiJKLDF1QZanIJGv2By0TqDCQdj8t1awThuTbs1IS0xRCdnV14cEHH4TP58MLL7zQHf7ddtttmDt3LhYvXowZM2aguLhY+D3Xr1+P1atX46GHHsJPf/pT1WWLi4vxve99T8sqExEREREREXVzugsqZ/mVixX7g2i4yUBam2AoLF3XcRmqWd1EUwi5efNmfPLJJ5gzZ06v6sPc3FwsXLgQ9957L1asWIHbb79d6P0+//xz/PjHP8ZVV12FKVOmaFtzIiIiIiIiIh2cHlNOhopM+pIV+4NIuMlAWpysE7+wmlUbTSHk1q1bAQCTJ0+O+pvyb++9957w+/3oRz9CSkoK7r//frS2tiZcvqWlBS+//DKOHTuGvLw8jBs3DiNHjhT+PCIiIiIiIiIZOF2RSdYTCTcZSCcm88QvrGbVRlMIuX//fgDA0KFDo/7Wr18/9OnTBwcOHBB6r5UrV2LDhg341a9+hby8PKEQ8sMPP8RDDz3U698uuugiPProoygsLBT63Eg+Dx/flW3z8jYSyYxtkMh5bIdEzmM7JIovNcVnyzhxbIdyu7QsgEtGFGL7wWY0Hu9AIDsd5w5iIA2IT/xyyYhCR76v1BQf7q4YgXtUqlnvmlqC1BSfZ9uhlu3RFEIqk8fk5ubG/HtOTo5QmPjZZ5/hZz/7Ga644gpcdtllQp89f/58TJ8+HcOGDUNaWhpqamrw9NNP46233sJ3vvMdvPzyy0hJSRHfmC8UFsbeFi9Jhm0kkhnbIJHz2A6JnMd2SOQ8tkO5zSzq6/QqSOfd2qNCE7981NqJC0r0FacZNS+Qi759M/GTV3fjUHN7978PzMvEj64chZmjB/ZaPpnboebZsc3wwAMPIDU1Fffff7/waxYtWtTrv88991wsXboUN9xwA7Zu3YrXX38d06dP17wuR4+2IuzRmdJ9vtM7t5e3kUhmbINEzmM7JHIe2yGR89gOya1qP20SXq40z7lxFycMyMEr/3FezGrWxsbTxXpebYfKdonQFELm5OQAQNxqx7a2NuTlqfdzX7FiBd566y38z//8D8444wwtHx/F7/fja1/7GrZu3Ypt27bpCiHDYXjqx48lGbaRSGZsg0TOYzskch7bIZHz2A7JbQLZYsHi0eMdWLe7wdGxVf2+6DFAY7W3ZG6HmkLIYcOGAQAOHDiA0aNH9/rbkSNHcOLECYwZM0b1PXbvPt1P/vvf/37Mv7/99tsYOXIkzj77bKxcuTLhOhUUFAAATpw4kXBZIiIiIiIiIiJyB5GJX/w+4Ik3P+r+bxlmzabYNIWQ5513HpYuXYq3334bs2fP7vW3t99+u3sZNeeee27MwPDEiRNYs2YNBgwYgMmTJ2PgwIExXh3tH//4BwBg0KBBQssTEREREREREZH8Uvw+3FUxIubs2IpQRFWhDLNmU2y+cFi8CLSrqwszZ87EZ599huXLl6O8vBzA6e7Zc+fORX19PdatW9cdCDY0NKC1tRVFRUVxJ7NRHDx4EJdeeikmT56MZ599ttff/vWvf2H48OFIS0vr9e/btm3D/Pnz0dXVhTVr1mDIkCGim9KtsdFbffF78vmAQCDX09tIJDO2QSLnsR0SOY/tkMh5bIfuFAyFsaO+GY1tHY52MzbKjO2oqmnE41X7elVE+n3RAWRP/XMzsHLBRGm+M6+2Q2W7RGiqhExNTcXDDz+MBQsW4Prrr8fs2bORnZ2NDRs2oL6+HosWLepVkbh48WKsWLECjzzyCObMmaNtK3p47rnn8Oabb2L8+PEYOHAgUlNTUVNTg3feeQc+nw8PPfSQrgCSiIiIiIiIiEg2sUI3N3YzNms7KkoDmFJS2B1mHj3R0asLdiyftZ7CjvrmqHEayTmaZ8c+//zz8eKLL+LJJ5/EmjVr0NXVhbKyMtx9992YNWuWFeuISy+9FC0tLfjwww+xadMmdHZ2IhAIYPbs2bjhhhsSjkNJREREREREROQGVTWNMbsf29HN2MzqS7O3I8X/5cQv6/c0CL2mUWUsSYVXKk7dQFN3bC/yWhlsT14t9SVyC7ZBIuexHRI5j+2QyHlsh+4RDIVRuWyL6kQsVnUzNrP60urtqK5rwsLlOxMut2TeGNVKSDsrTr3aDrV0x/ZbvC5ERERERERERCRgR32zanAHfNnN2ExK1WLkZytVi1U1jZrez+rtUGbNVtM/NwNji/Pi/t3sbabEGEISEREREREREUlApPuwluVEBENhPF61T3WZxW/UIqg2C0wEq7dDmTVbzZ1TS+JWWVqxzZQYQ0giIiIiIiIiIgkEElT3aV1OhBVVi3ZsR0VpAI9WjoqqiOyfm5FwvEmnKk6TneaJaYiIiIiIiIiIFJzYwzxKN+NEYymqdTPWyoqqRbu2I3LWbNH9z4mKU2IISUREREREREQ62TmxRzJQuhnHmlVaodbNWA8rqhbt3I6es2aLEt2WM/qkobquiQG7Sdgdm4iIiIiIiIg048Qe1jDSzVgPMyZ5icXu7dBCZJvzMlPx43X/wsLlO/HAmg+xcPlOVC7bwv3aAF847KWJwbXz2tToPXl1+ncit2AbJHIe2yGR89gOiZxnRTsMhsKoXLYlYXfblQsmsnJMJzu7uSuBcjxGQkNZu+sn2mY1er4Pr54Ple0SwUpIIiIiIiIiItKEE3tYT+lmPKO8COMH51sa3FlZtWjndmgRb5uLctKRl6k+eiFnztaHY0ISERERERERkSac2MN79E7y4maxtjkYCuO2P32g+jolYNc6FmWyYwhJRERERERERJpYMZkJOU/PJC9uF7nN6/c0CL2OAbt27I5NRERERERERJpYNZkJkdMYsFuHISQRERERERGRRwRDYVTXNWH9ngZU1zVZNm5dit+HuypGqC5z59QST3flJW9iwG4ddscmIiIiIiIi8oCqmkY8XrWv14QxRTnpuLtiBOYJzl6rhTKxR+Rn9s/NwJ1TSwxNZkLkFCVgV5s5mwG7PgwhiYiIiIiIiFyuqqYxZmjS0NaBe1btRt++mZgwIMf0z03GyUzI+xiwW4MhJBEREREREZGLBUNhPF61T3WZn7y6G6/8x3nw+8wPB5NxMhPyPgbs5mMISURERERERORiO+qbe1VrxXKouR3bDzYzLCTSgAG7uTgxDREREREREZGLNSYIILuXOy62HBGRFRhCEhEREREREblYIMFMvt3LZYstR0RkBXbHJiIiIiIiInKxscV5KMpJV+2SPTAvE+cOyrNxrYicFwyFOaajRBhCEhEREREREblYit+HuypGxJwdW/GjK0chxe9DOGzjihE5qKqmMWp266KcdNxVMYKzWzuE3bGJiIiIiIiIXK6iNIBHK0ehKKJrdv/cDPyichRmjh7o0JoR2a+qphGLVu2Oqg5uaOvAolW7UVXT6NCaJTdWQhIRERERERF5QEVpAFNKCqO6n6amsPspJY9gKIzHq/apLrP4jVpMKSlk12ybMYQkIiIiIiIi8ogUvw/jB+c7vRpEjtlR36w6PioAfNZ6Cjvqm9lWbMYQkoiIiIiIiIiINJNx4pfGBAGk1uXIPAwhiYiIiIiIiIhIE1knfglEjItqdDkyDyemISIiIiIiIiIiYTJP/DK2OC9qgqZI/XMzMLY4z6Y1IgVDSCIiIiIiIiIiEiI68UswFLZpjXpL8ftwV8UI1WXunFrieLfxZMQQkoiIiIiIiIiIhGiZ+MUpFaUBPFo5Kqoisn9uBh6tHOVod/FkxjEhiYiI/v/27j0oqvr/4/gLQ8ZWSJt+WomE9e13CG+pmJhigFGaEqmJOl4KL6WpXZzRRLPGTMMprZRUyguOZk5SA15Sh8ZL5jR4AbUyxS7ewhKtZKBVBPf8/vC3m+sufQU5wcrzMeM4fD6fc/ZzduY1LO895/MBAAAAcE18ZeOX7v/7P4r+z221buOcuowiJAAAAAAAAK6JL238clM9P0WENK7paeD/8Tg2AAAAAAAArgkbv6CqKEICAAAAAADgmrDxC6qKIiQAAAAAAACuGRu/oCpYExIAAAAAAACVwsYvqCyKkAAAAAAAAKg0Nn5BZfA4NgAAAAAAAABLUYQEAAAAAAAAYCmKkAAAAAAAAAAsRRESAAAAAAAAgKUoQgIAAAAAAACwFEVIAAAAAAAAAJaiCAkAAAAAAADAUhQhAQAAAAAAAFiKIiQAAAAAAAAAS1GEBAAAAAAAAGApipAAAAAAAAAALEUREgAAAAAAAIClKEICAAAAAAAAsJR/TU+gpvn51fQMrOO8thv5GoHajAwCNY8cAjWPHAI1jxwCNe9GzWFlrsfPNE3TuqkAAAAAAAAAqOt4HBsAAAAAAACApShCAgAAAAAAALAURUgAAAAAAAAAlqIICQAAAAAAAMBSFCEBAAAAAAAAWIoiJAAAAAAAAABLUYQEAAAAAAAAYCmKkAAAAAAAAAAsRRESAAAAAAAAgKUoQgIAAAAAAACwFEXIG9iuXbsUFham1NTU6zpP9+7d1b1792qaFeC7yBRQ88ghUPPIIVDzyCEAX+Rf0xPAjembb75Ramqq9u3bp/LychmGoaSkJPXq1aumpwb4nLVr1yo3N1ffffedjhw5orKyMqWkpKhfv34VHlNSUqLU1FRlZ2frzJkzatq0qXr06KHx48erYcOGHuMdDodWrVqlNWvW6Pjx47LZbOrSpYsmTJigkJAQKy8PqPVOnz6tTZs2aceOHfr555919uxZNWrUSB06dNCoUaN0//33ez2OHALVp7S0VO+8846+++47HT9+XEVFRbrlllsUEhKixMREJSQkqH79+h7HkUPAWh9++KHmzp0rSfrkk0/Url07jzHkEIATd0Ki2uXk5Gjw4MHKzc3VY489pkGDBuns2bOaMGGCli1bVtPTA3zOvHnz9Mknn+jUqVNq2rTpfx1vt9s1dOhQLV++XPfcc4+SkpJ09913a9myZXr66adVWlrqccxrr72mmTNnyjRNDRs2TN26dVN2drb69++vY8eOWXBVgO9YuXKlUlJSdPLkSXXt2lXDhw9XRESEtmzZokGDBmnjxo0ex5BDoHr99ddfWr16tfz8/BQTE6Phw4crLi5OhYWFmjp1qsaMGSOHw+F2DDkErHXkyBGlpqbKZrNVOIYcArgSd0KiWpWXl+vVV1+Vn5+fVq1apfDwcEnSuHHj1L9/f73zzjvq0aOHgoODa3imgO+YOXOmQkNDFRwc7PZtc0WWLFmiQ4cO6ZlnntHEiRNd7XPmzNHixYu1fPlyjR492tWek5OjjIwMPfDAA1q2bJkCAgIkSfHx8Xr22Wf1xhtvaOnSpdZcHOAD2rZtq5UrV6pTp05u7Xv37lVSUpKmT5+uuLg4V3YkcghUt8aNG2vv3r1uOZMuf/YcPny4du7cqR07digmJsbVRw4B65SVlSk5OVnh4eEKDQ3VunXrvI4jhwCuxJ2Q1eTKNTny8vI0bNgwtW/fXp07d9b06dN14cIFSdL27ds1cOBAtWvXTl26dNFbb72l8vJyt3OVl5crPT1dCQkJatu2rSIiIjRs2DBt3brV62tfuHBBc+bMUXR0tNq0aaP4+HitWbPmH+d78uRJvfLKK4qJiVHr1q0VFRWl5ORkFRQUXNf7kJOToxMnTig+Pt5VgJSkoKAgjRkzRmVlZcrMzLyu10DdQKb+1qVLl2su3JumqYyMDNlsNo0dO9atb+zYsbLZbMrIyHBrd/784osvuv1xFx0drU6dOmnnzp06derUdV4FfBE5vOzRRx/1KEBKUseOHRUZGamioiLl5+e72skhqhM5vKxevXoeBUhJ8vf31yOPPCJJOn78uKudHKI6kUNPaWlp+uGHH/Tmm2/qpptu8jqGHAK4GkXIanbgwAElJSUpKChIgwYNUrNmzbR69WpNmzZNGzdu1AsvvKBmzZpp4MCBCgoK0tKlS5WWluY63jRNvfDCC5o9e7ZKS0s1ZMgQxcfHKz8/X88995yWL1/u9noOh0PPPfecFi9erFtuuUVPPfWU7r//fqWkpCg9Pb3COfbt21dZWVlq1aqVnnrqKUVERGj9+vVKTEzUyZMnq3z9u3fvliRFRUV59Dnb9uzZU+Xzo+6p65mqrGPHjqmwsFAdOnTweDTGZrOpQ4cOOnnypH799VdX+65du1x9V+vWrZukv7ONuokcVszf39/tf4kcwhrk0DuHw6GvvvpKkmQYhqudHMIK5PCygwcPKi0tTePHj9e9995b4ThyCMCDiWqRk5NjGoZhGoZhfvHFF672ixcvmo8//rgZFhZmRkZGmgcOHHD1FRcXmw8++KDZqVMn8+LFi6ZpmmZmZqZpGIY5dOhQs7S01DW2oKDAjIyMNFu2bGmeOHHC1f7ZZ5+ZhmGYI0eONMvLy13thw8fNlu1amUahmHOnz/fbT6xsbFm+/btzYMHD7pdw549e8zw8HBz9OjRbu2xsbFmbGzsNb0Pzz//vGkYhvntt9967W/Xrp0ZHR19TedC3UamvPvggw9MwzDMzz77zGv/tm3bTMMwzBkzZnjtnzFjhmkYhvn111+bpmmaf/31l2kYhhkfH+91/ObNm03DMMz33nuvSvOFbyOH/6ygoMBs3bq12bVrV7d5kkNUJ3LorrS01Jw/f745b9488/XXXzd79uxpGoZhJicnu40jh6hO5PBvpaWlZu/evc1+/fq55jR58mTTMAxz3759bmPJIYCrcSdkNYuMjFRcXJzr5/r166tHjx4yTVOxsbFq27atqy8wMFAxMTE6d+6cfvvtN0lyPao8adIkt9vPmzVrpqSkJJWXl7utt5GVlSVJmjBhgttt8GFhYXriiSc85rd9+3YVFBRo5MiRatmypVtfx44d9fDDD+vLL79USUlJla7feVxQUJDX/sDAQBUXF1fp3Kib6nqmKsuZr8DAQK/9znbnfK51PLmt28ihp7KyMr388su6ePGiJk6c6DZPcggrkMPLysrK9P7772vBggVatWqVjh49qhEjRuiNN95wG0cOYQVyeHnDxGPHjiklJaXCx7CdyCGAq7ExTTW7ch1EJ+dutt76mjRpIkkqLCxUSEiIDh06pJtvvtntF5hTZGSkJOnw4cOutvz8fNlsNrVq1cpjfMeOHfXpp5+6te3fv1+SdPToUaWmpnocc+bMGTkcDh09elRt2rSp6DKBfw2ZAmoeOXTncDiUnJysPXv2aMCAAerTp891nxP4b8jhZQ0bNlR+fr4cDocKCwu1detWvfvuu9q/f78WL15cYfECqA51PYf79u3TsmXLNH78eLflDwDgWlGErGbePvg4vyHy1udcQ8q5YHFJSYnuuOMOr+d2/hK78pur4uLiCsffdtttHm1FRUWSpPXr11d4DZJ0/vz5f+yvyH/7dqqkpESNGjWq0rlRN9X1TFWW8y7kir7hdrY737trHV/R3c2oG8jh3xwOh6ZOnaoNGzYoISFBr7/+uscYcggrkEN39erV0x133KHBgwfr1ltv1UsvvaRFixZp0qRJksghrFGXc1heXq7k5GSFhYXp2WefvaZjyCGAq1GErGUCAwP1xx9/eO07e/asa4xTUFCQ/vzzT6/jf//9d6/nly7vZhYbG3u90/XQokULSZd3J2zdurVb35kzZ2S3271+8wdYxdczVVmhoaGSLi8E7o2z3ZlVm82mJk2a6JdfftGlS5c8Hqtx7jTqPC9QFTdKDh0Oh6ZMmaKsrCzFx8dr9uzZqlfPc2Ubcoja6EbJoTfOzQ+v3KyCHKI28uUc2u12V26u/jvPaeDAgZKkBQsWKC4ujhwC8MCakLVMeHi4zp8/r2+++cajz/nB6r777nO1hYWFyW636+DBgx7j9+7d69HmLAA6b9Wvbg888IAkaefOnR59zjbnGODf4OuZqqwWLVqoadOmysvLk91ud+uz2+3Ky8tT8+bNdeedd7raO3Xq5Oq7mnPHUXKL63Ej5PDKAmSvXr301ltvVbgWFjlEbXQj5LAihYWFktx3qSeHqI18OYcBAQHq37+/13/OImL37t3Vv39/BQcHSyKHADxRhKxl+vbtK0maO3euysrKXO2//vqr0tPT5e/vr4SEBFe7c0Hid999V5cuXXK15+fna+3atR7nj4uLU7NmzZSenq49e/Z49JeVlXn9heZt3E8//aQTJ064tT/44IMKCQnRhg0bdOjQIVd7cXGx0tLSVL9+fdbOwr/K1zNVWX5+fkpMTJTdbtfChQvd+hYuXCi73a4BAwa4tTt/njdvni5evOhq//LLL7V7925FRUW5PkwCVeHrOXQ+gp2VlaWePXvq7bff/sfF+MkhaiNfz+GPP/7o9RHS8+fPKyUlRZIUHR3taieHqI18OYcNGjTQrFmzvP5r3769JGn06NGaNWuWa31McgjgajyOXcs88cQTys7O1pYtW5SQkKCYmBidP39emzZt0rlz55ScnKyQkBDX+L59+2rDhg366quv1KdPHz300EMqKirS559/rqioKG3bts3t/AEBAZo3b56eeeYZDR06VJ07d5ZhGPLz89OpU6e0d+9eNW7cWJs3b/7HeZ4+fVq9evVScHCwtm7d6mr39/fXzJkzNWrUKA0ZMkS9e/dWw4YNlZ2drYKCAk2ePFnNmzev3jcN+Ae+nilJysjIUG5uriTpyJEjrjbnN+YRERFKTEx0jR81apS2bNmixYsX69ChQ2rZsqW+//577dy5U23atNHTTz/tdv7OnTsrMTFRGRkZ6tevn6Kjo3XmzBlt3LhRjRs31rRp0yr5rgPufD2HCxYsUGZmpmw2m1q0aKFFixZ5HBsXF+e2KQE5RG3j6znctGmT0tPTFRERoeDgYAUGBur06dPasWOHzp07p44dOyopKcntXOQQtY2v57AqyCGAK1GErGX8/Pw0f/58rVixQpmZmfroo49Uv359tWrVSklJSXr44YfdxterV08LFy7U+++/r/Xr12vFihW66667NGXKFIWGhnr8YpIu36a/bt06LVmyRDt27FBeXp4CAgJ0++23Ky4uTr17976ua+jcubM+/vhjzZ8/Xxs3blR5ebkMw9DEiRPVq1ev6zo3UFk3QqZyc3OVmZnp1paXl+f2mMqVRUibzaaPPvpIqampys7O1q5du9SkSRONGDFC48aNU4MGDTxeY8aMGTIMQ2vWrNGKFStks9n0yCOPaMKECbrrrruua/6Ar+ewoKBA0uVHx9LS0ryOCQ4OditCkkPUNr6ew5iYGBUWFmrfvn3av3+/7Ha7AgMDFRYWpt69e+vJJ590exxbIoeofXw9h1VBDgFcyc80TbOmJwEAAAAAAADgxsWakAAAAAAAAAAsRRESAAAAAAAAgKUoQgIAAAAAAACwFEVIAAAAAAAAAJaiCAkAAAAAAADAUhQhAQAAAAAAAFiKIiQAAAAAAAAAS1GEBAAAAAAAAGApipAAAAAAAAAALEUREgAAAAAAAIClKEICAAAAAAAAsBRFSAAAAAAAAACW+j8HcyKmo6YO+wAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -496,10 +496,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:25.409886Z",
-     "iopub.status.busy": "2024-11-04T11:36:25.409616Z",
-     "iopub.status.idle": "2024-11-04T11:36:25.834494Z",
-     "shell.execute_reply": "2024-11-04T11:36:25.833723Z"
+     "iopub.execute_input": "2024-11-04T12:32:20.188912Z",
+     "iopub.status.busy": "2024-11-04T12:32:20.188333Z",
+     "iopub.status.idle": "2024-11-04T12:32:20.627031Z",
+     "shell.execute_reply": "2024-11-04T12:32:20.626237Z"
     }
    },
    "outputs": [
@@ -508,7 +508,7 @@
      "output_type": "stream",
      "text": [
       "Model indices:\n",
-      "[]\n"
+      "['334', '351', '354', '362', '374', '389', '398', '411', '412', '432', '442', '444', '447', '449', '450', '456', '460', '462', '467', '471', '473', '477', '479', '480', '481', '482', '485', '489', '492', '495', '497']\n"
      ]
     }
    ],
@@ -526,16 +526,16 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:25.837019Z",
-     "iopub.status.busy": "2024-11-04T11:36:25.836513Z",
-     "iopub.status.idle": "2024-11-04T11:36:26.020130Z",
-     "shell.execute_reply": "2024-11-04T11:36:26.019428Z"
+     "iopub.execute_input": "2024-11-04T12:32:20.629590Z",
+     "iopub.status.busy": "2024-11-04T12:32:20.629018Z",
+     "iopub.status.idle": "2024-11-04T12:32:20.807012Z",
+     "shell.execute_reply": "2024-11-04T12:32:20.806131Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -573,10 +573,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:26.022785Z",
-     "iopub.status.busy": "2024-11-04T11:36:26.022284Z",
-     "iopub.status.idle": "2024-11-04T11:36:26.141614Z",
-     "shell.execute_reply": "2024-11-04T11:36:26.140873Z"
+     "iopub.execute_input": "2024-11-04T12:32:20.809902Z",
+     "iopub.status.busy": "2024-11-04T12:32:20.809615Z",
+     "iopub.status.idle": "2024-11-04T12:32:20.930379Z",
+     "shell.execute_reply": "2024-11-04T12:32:20.929587Z"
     }
    },
    "outputs": [
@@ -587,35 +587,35 @@
       "MCS P-values\n",
       "            Pvalue\n",
       "Model name        \n",
-      "model.20     0.000\n",
-      "model.60     0.000\n",
-      "model.0      0.000\n",
-      "model.180    0.002\n",
-      "model.140    0.005\n",
-      "model.100    0.016\n",
-      "model.80     0.038\n",
-      "model.40     0.057\n",
-      "model.160    0.061\n",
-      "model.280    0.061\n",
-      "model.220    0.073\n",
-      "model.320    0.139\n",
-      "model.120    0.139\n",
-      "model.300    0.139\n",
-      "model.200    0.152\n",
-      "model.260    0.152\n",
-      "model.360    0.213\n",
-      "model.380    0.275\n",
-      "model.460    0.525\n",
-      "model.340    0.595\n",
-      "model.240    0.780\n",
-      "model.400    0.780\n",
-      "model.480    0.780\n",
-      "model.440    0.780\n",
-      "model.420    1.000\n",
+      "model.40     0.000\n",
+      "model.160    0.002\n",
+      "model.360    0.007\n",
+      "model.20     0.015\n",
+      "model.180    0.017\n",
+      "model.60     0.026\n",
+      "model.200    0.031\n",
+      "model.220    0.039\n",
+      "model.100    0.049\n",
+      "model.80     0.050\n",
+      "model.120    0.110\n",
+      "model.140    0.195\n",
+      "model.0      0.277\n",
+      "model.440    0.590\n",
+      "model.300    0.766\n",
+      "model.240    0.774\n",
+      "model.400    0.774\n",
+      "model.260    0.774\n",
+      "model.280    0.774\n",
+      "model.320    0.774\n",
+      "model.340    0.835\n",
+      "model.420    0.835\n",
+      "model.380    0.835\n",
+      "model.480    0.976\n",
+      "model.460    1.000\n",
       "Included\n",
-      "['120', '200', '240', '260', '300', '320', '340', '360', '380', '400', '420', '440', '460', '480']\n",
+      "['0', '120', '140', '240', '260', '280', '300', '320', '340', '380', '400', '420', '440', '460', '480']\n",
       "Excluded\n",
-      "['0', '100', '140', '160', '180', '20', '220', '280', '40', '60', '80']\n"
+      "['100', '160', '180', '20', '200', '220', '360', '40', '60', '80']\n"
      ]
     }
    ],
@@ -641,16 +641,16 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:26.144124Z",
-     "iopub.status.busy": "2024-11-04T11:36:26.143555Z",
-     "iopub.status.idle": "2024-11-04T11:36:26.292992Z",
-     "shell.execute_reply": "2024-11-04T11:36:26.292233Z"
+     "iopub.execute_input": "2024-11-04T12:32:20.932904Z",
+     "iopub.status.busy": "2024-11-04T12:32:20.932671Z",
+     "iopub.status.idle": "2024-11-04T12:32:21.104232Z",
+     "shell.execute_reply": "2024-11-04T12:32:21.103446Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
diff --git a/devel/multiple-comparison/multiple-comparisons.html b/devel/multiple-comparison/multiple-comparisons.html
index f923c7a882..416b6a2615 100644
--- a/devel/multiple-comparison/multiple-comparisons.html
+++ b/devel/multiple-comparison/multiple-comparisons.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Multiple Comparison Procedures - arch v7.1.1 (+16)</title>
+        <title>Multiple Comparison Procedures - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/objects.inv b/devel/objects.inv
index 9044472ad8637004f73d25c9a39c0533747629ab..002b5c90ec3b6843021b6bd3ce53164308fb37d3 100644
GIT binary patch
delta 25
hcmX^8mHG5n<_S(b7TW2_NtS7;21!ZA8~tj30RW9{3Y7o=

delta 25
hcmX^8mHG5n<_S(bX4>h=$(CtJmPsb58~tj30RW9`3Z4J}

diff --git a/devel/py-modindex.html b/devel/py-modindex.html
index f58c8571d3..9e65b5a744 100644
--- a/devel/py-modindex.html
+++ b/devel/py-modindex.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>None - arch v7.1.1 (+16)</title>
+        <title>None - arch v7.1.1 (+18)</title>
       
     
 
@@ -90,7 +90,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -100,7 +100,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -187,10 +187,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/searchindex.js b/devel/searchindex.js
index 0aa74566dd..f953135766 100644
--- a/devel/searchindex.js
+++ b/devel/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"(G)ARCH-in-mean Models": [[908, "g-arch-in-mean-models"]], "(Nearly) out-of-sample forecasts": [[911, "(Nearly)-out-of-sample-forecasts"]], "API Reference": [[0, null]], "ARCH Modeling": [[914, null]], "Alternative Forecast Generation Schemes": [[913, "Alternative-Forecast-Generation-Schemes"]], "Analytical Forecasts": [[437, "analytical-forecasts"], [913, "Analytical-Forecasts"]], "Array Types": [[273, "array-types"]], "Asymptotic Normal Approximation (norm, cov or var)": [[4, "asymptotic-normal-approximation-norm-cov-or-var"]], "Augmented Dickey-Fuller Testing": [[434, "Augmented-Dickey-Fuller-Testing"]], "Automatic Bandwidth Selection": [[431, "automatic-bandwidth-selection"]], "Base Class": [[99, "base-class"]], "Basic (basic)": [[4, "basic-basic"]], "Basic Example": [[430, "basic-example"]], "Basic Forecasting": [[913, "Basic-Forecasting"]], "Bias-corrected (bc, bias-corrected or debiased)": [[4, "bias-corrected-bc-bias-corrected-or-debiased"]], "Bias-corrected and accelerated (bca)": [[4, "bias-corrected-and-accelerated-bca"]], "Block-length Selection": [[0, "block-length-selection"]], "Bootstrap": [[96, "bootstrap"]], "Bootstrap Examples": [[3, null]], "Bootstrap Forecasts": [[437, "bootstrap-forecasts"], [913, "Bootstrap-Forecasts"]], "Bootstrap Scenarios": [[915, "Bootstrap-Scenarios"]], "Bootstrapping": [[2, null]], "Bootstrapping Uneven Length Samples": [[3, "Bootstrapping-Uneven-Length-Samples"]], "Bootstraps": [[0, "bootstraps"]], "Building a Model From Components": [[914, "Building-a-Model-From-Components"]], "Change Logs": [[91, null]], "Changes Since 5.5": [[96, "changes-since-5-5"]], "Citation": [[248, "citation"]], "Cointegrating Relationship Estimation": [[0, "cointegrating-relationship-estimation"]], "Cointegrating Vector Estimation": [[274, "cointegrating-vector-estimation"]], "Cointegration Analysis": [[432, "cointegration-analysis"]], "Cointegration Testing": [[0, "cointegration-testing"], [433, null]], "Cointegration Tests": [[274, null]], "Common Type Definitions": [[273, null]], "Comparing across the year": [[915, "Comparing-across-the-year"]], "Comparing the paths": [[915, "Comparing-the-paths"]], "Conditional Mean Alignment vs. Forecast Alignment": [[911, "Conditional-Mean-Alignment-vs.-Forecast-Alignment"]], "Conditional Mean uses target alignment": [[911, "Conditional-Mean-uses-target-alignment"]], "Confidence Interval Methods": [[4, "confidence-interval-methods"]], "Confidence Interval Types": [[4, "confidence-interval-types"]], "Confidence Intervals": [[4, null]], "Constructing Parameter Estimates": [[87, "constructing-parameter-estimates"]], "Covariance Estimation": [[88, null]], "Custom Random Generators": [[915, "Custom-Random-Generators"]], "Data": [[912, "Data"], [913, "Data"]], "Deterministic terms": [[434, "Deterministic-terms"]], "Dickey-Fuller GLS Testing": [[434, "Dickey-Fuller-GLS-Testing"]], "Direct Estimation": [[912, "Direct-Estimation"]], "Distributions": [[436, null], [914, "Distributions"]], "Filtered Historical Simulation": [[913, "Filtered-Historical-Simulation"]], "Fitting the model": [[911, "Fitting-the-model"]], "Fitting the model directly": [[3, "Fitting-the-model-directly"]], "Fixed Window Forecasting": [[913, "Fixed-Window-Forecasting"]], "FixedVariance": [[917, "fixedvariance"]], "Fixing Parameters": [[914, "Fixing-Parameters"]], "Forecasting": [[437, null]], "Forecasting Options": [[437, "forecasting-options"]], "Forecasting the X values": [[911, "Forecasting-the-X-values"]], "Forecasting with Exogenous Regressors": [[911, null]], "GARCH (with a Constant Mean)": [[914, "GARCH-(with-a-Constant-Mean)"]], "GJR-GARCH": [[914, "GJR-GARCH"]], "High-level": [[0, "high-level"]], "Independent Samples": [[86, "independent-samples"]], "Independent, Identical Distributed Data (i.i.d.)": [[86, null]], "Index": [[248, "index"]], "Initial Mean Model Estimation": [[912, "Initial-Mean-Model-Estimation"]], "Initial Volatility Model Estimation": [[912, "Initial-Volatility-Model-Estimation"]], "Introduction": [[248, "introduction"], [430, null]], "Introduction to ARCH Models": [[907, null]], "KPSS Testing": [[434, "KPSS-Testing"]], "Long-run Covariance (HAC) Estimation": [[0, "long-run-covariance-hac-estimation"]], "Long-run Covariance Estimation": [[99, null]], "Long-run Covariance Estimators": [[99, "module-arch.covariance.kernel"]], "Low-level Interfaces": [[87, null]], "Mean Models": [[908, null], [914, "Mean-Models"]], "Mean Specification": [[0, "mean-specification"]], "Model Confidence Set (MCS)": [[270, "model-confidence-set-mcs"]], "Model Constructor": [[907, "model-constructor"]], "Model Results": [[909, null]], "Module Reference": [[270, null]], "Multiple Comparison Procedures": [[272, null]], "Multiple Comparisons": [[271, null]], "Nonparametric Confidence Intervals": [[4, "nonparametric-confidence-intervals"]], "Note": [[4, null], [4, null], [4, null], [4, null], [4, null], [12, null], [15, null], [25, null], [27, null], [30, null], [40, null], [42, null], [45, null], [55, null], [57, null], [60, null], [70, null], [72, null], [75, null], [85, null], [88, null], [89, null], [89, null], [89, null], [91, null], [98, null], [248, null]], "Optimal Block Length Estimation": [[3, "Optimal-Block-Length-Estimation"]], "Other Types": [[273, "other-types"]], "Output Classes": [[437, "output-classes"]], "Parameterless Variance Processes": [[917, "parameterless-variance-processes"]], "Parametric Bootstraps": [[89, "parametric-bootstraps"]], "Parametric Confidence Intervals": [[4, "parametric-confidence-intervals"]], "Parametric VaR": [[913, "Parametric-VaR"]], "Past Releases": [[91, "past-releases"]], "Percentile (percentile)": [[4, "percentile-percentile"]], "Phillips-Ouliaris": [[433, "Phillips-Ouliaris"]], "Phillips-Perron Testing": [[434, "Phillips-Perron-Testing"]], "Plotting the data": [[911, "Plotting-the-data"]], "Power": [[271, "Power"]], "Probit (statsmodels)": [[3, "Probit-(statsmodels)"]], "Producing multiple forecasts": [[911, "Producing-multiple-forecasts"]], "Re-estimating the mean with a FixedVariance": [[912, "Re-estimating-the-mean-with-a-FixedVariance"]], "Recursive Forecast Generation": [[913, "Recursive-Forecast-Generation"]], "References": [[1, null], [249, null]], "Regression output": [[434, "Regression-output"]], "Release 4.10": [[95, "release-4-10"]], "Release 4.11": [[95, "release-4-11"]], "Release 4.12": [[95, "release-4-12"]], "Release 4.13": [[95, "release-4-13"]], "Release 4.14": [[95, "release-4-14"]], "Release 4.15": [[95, "release-4-15"]], "Release 4.16": [[95, "release-4-16"]], "Release 4.17": [[95, "release-4-17"]], "Release 4.18": [[95, "release-4-18"]], "Release 4.19": [[95, "release-4-19"]], "Release 4.2": [[95, "release-4-2"]], "Release 4.3": [[95, "release-4-3"]], "Release 4.4": [[95, "release-4-4"]], "Release 4.5": [[95, "release-4-5"]], "Release 4.6": [[95, "release-4-6"]], "Release 4.7": [[95, "release-4-7"]], "Release 4.8": [[95, "release-4-8"]], "Release 4.8.1": [[95, "release-4-8-1"]], "Release 4.9": [[95, "release-4-9"]], "Release 5.0": [[96, "release-5-0"]], "Release 5.1": [[96, "release-5-1"]], "Release 5.2": [[96, "release-5-2"]], "Release 5.3": [[96, "release-5-3"]], "Release 5.4": [[96, "release-5-4"]], "Release 5.5": [[96, "release-5-5"]], "Release 6.0": [[97, "release-6-0"]], "Release 6.1": [[97, "release-6-1"]], "Release 6.2": [[97, "release-6-2"]], "Release 6.3": [[97, "release-6-3"]], "Release 7.0": [[91, "release-7-0"], [98, "release-7-0"]], "Release 7.1": [[91, "release-7-1"], [98, "release-7-1"]], "Reproducibility": [[3, "Reproducibility"]], "Results": [[99, "results"]], "Results Classes": [[274, "results-classes"]], "Rolling Window Forecasting": [[913, "Rolling-Window-Forecasting"]], "See also": [[5, null], [6, null], [7, null], [8, null], [9, null], [10, null], [100, null], [104, null], [105, null], [117, null], [127, null], [141, null], [151, null], [161, null], [171, null], [181, null], [191, null], [201, null], [211, null], [221, null], [231, null], [241, null], [251, null], [252, null], [289, null], [290, null], [381, null]], "Semi-parametric Confidence Intervals": [[4, "semi-parametric-confidence-intervals"]], "Semiparametric Bootstrap (Alternative Method)": [[89, "semiparametric-bootstrap-alternative-method"]], "Semiparametric Bootstraps": [[89, null]], "Setting the number of lags": [[434, "Setting-the-number-of-lags"]], "Setup": [[4, "setup"], [96, "setup"], [434, "Setup"], [912, "Setup"], [914, "Setup"]], "Sharpe Ratio": [[3, "Sharpe-Ratio"]], "Shock Distributions": [[0, "shock-distributions"]], "Simulating data": [[911, "Simulating-data"]], "Simulating the out-of-sample x": [[911, "Simulating-the-out-of-sample-x"]], "Simulation": [[911, "Simulation"], [914, "Simulation"]], "Simulation Forecasts": [[437, "simulation-forecasts"], [913, "Simulation-Forecasts"]], "Special Cases with a single x variable": [[911, "Special-Cases-with-a-single-x-variable"]], "Special Requirements": [[908, "special-requirements"]], "Specifying Common Models": [[914, "Specifying-Common-Models"]], "Speeding things up": [[3, "Speeding-things-up"]], "Static out-of-sample x": [[911, "Static-out-of-sample-x"]], "Stepwise Multiple Testing (StepM)": [[270, "stepwise-multiple-testing-stepm"], [271, "Stepwise-Multiple-Testing-(StepM)"]], "Studentized (studentized)": [[4, "studentized-studentized"]], "Student\u2019s T Errors": [[914, "Student's-T-Errors"]], "Study Design": [[271, "Study-Design"]], "TARCH": [[913, "TARCH"]], "TARCH/ZARCH": [[914, "TARCH/ZARCH"]], "Test Results": [[916, "test-results"]], "Test of Superior Predictive Ability (SPA), Reality Check": [[270, "test-of-superior-predictive-ability-spa-reality-check"]], "Testing with Multiple-Comparison": [[0, "testing-with-multiple-comparison"]], "The Bootstrap Iterator": [[87, "the-bootstrap-iterator"]], "The Model Confidence Set": [[271, "The-Model-Confidence-Set"]], "The Unit Root Tests": [[431, null]], "The test of Superior Predictive Ability (SPA)": [[271, "The-test-of-Superior-Predictive-Ability-(SPA)"]], "The wrapper function": [[3, "The-wrapper-function"]], "Theoretical Background": [[435, null]], "Time-series Bootstraps": [[90, null]], "True out-of-sample forecasts": [[911, "True-out-of-sample-forecasts"]], "Understanding Forecast Output": [[437, "understanding-forecast-output"]], "Unit Root": [[96, "unit-root"], [96, "id1"]], "Unit Root Testing": [[0, "unit-root-testing"], [432, null], [434, null]], "Univariate Volatility Models": [[910, null]], "Using DataFrame": [[911, "Using-DataFrame"]], "Using a dict": [[911, "Using-a-dict"]], "Using an array": [[911, "Using-an-array"]], "Using partial instead of extra_kwargs": [[89, "using-partial-instead-of-extra-kwargs"]], "Using the Fixed Variance process": [[912, null]], "Utilities": [[916, null]], "Value-at-Risk Forecasting": [[913, "Value-at-Risk-Forecasting"]], "Variance Ratio Testing": [[434, "Variance-Ratio-Testing"]], "Version 1": [[92, null]], "Version 1.1": [[92, "version-1-1"]], "Version 2": [[93, null]], "Version 2.1": [[93, "version-2-1"]], "Version 2.2": [[93, "version-2-2"]], "Version 3": [[94, null]], "Version 4": [[95, null]], "Version 5": [[96, null]], "Version 6": [[97, null]], "Version 7": [[91, "version-7"], [98, null]], "Visualizing the differences": [[915, "Visualizing-the-differences"]], "Volatility Forecasting": [[913, null]], "Volatility Modeling": [[0, "volatility-modeling"], [96, "volatility-modeling"]], "Volatility Process Specification": [[0, "volatility-process-specification"]], "Volatility Processes": [[914, "Volatility-Processes"], [917, null]], "Volatility Scenarios": [[915, null]], "WTI Crude": [[914, "WTI-Crude"]], "Warning": [[3, "Warning"], [89, null]], "Writing New Distributions": [[436, "writing-new-distributions"]], "Writing New Mean Models": [[908, "writing-new-mean-models"]], "Writing New Volatility Processes": [[917, "writing-new-volatility-processes"]], "Zig-Zag estimation": [[912, "Zig-Zag-estimation"]], "Zivot-Andrews Test": [[434, "Zivot-Andrews-Test"]], "arch.bootstrap.CircularBlockBootstrap": [[5, null]], "arch.bootstrap.CircularBlockBootstrap.apply": [[11, null]], "arch.bootstrap.CircularBlockBootstrap.bootstrap": [[12, null]], "arch.bootstrap.CircularBlockBootstrap.clone": [[13, null]], "arch.bootstrap.CircularBlockBootstrap.conf_int": [[14, null]], "arch.bootstrap.CircularBlockBootstrap.cov": [[15, null]], "arch.bootstrap.CircularBlockBootstrap.generator": [[16, null]], "arch.bootstrap.CircularBlockBootstrap.get_state": [[17, null]], "arch.bootstrap.CircularBlockBootstrap.index": [[18, null]], "arch.bootstrap.CircularBlockBootstrap.random_state": [[19, null]], "arch.bootstrap.CircularBlockBootstrap.reset": [[20, null]], "arch.bootstrap.CircularBlockBootstrap.seed": [[21, null]], "arch.bootstrap.CircularBlockBootstrap.set_state": [[22, null]], "arch.bootstrap.CircularBlockBootstrap.state": [[23, null]], "arch.bootstrap.CircularBlockBootstrap.update_indices": [[24, null]], "arch.bootstrap.CircularBlockBootstrap.var": [[25, null]], "arch.bootstrap.IIDBootstrap": [[6, null]], "arch.bootstrap.IIDBootstrap.apply": [[26, null]], "arch.bootstrap.IIDBootstrap.bootstrap": [[27, null]], "arch.bootstrap.IIDBootstrap.clone": [[28, null]], "arch.bootstrap.IIDBootstrap.conf_int": [[29, null]], "arch.bootstrap.IIDBootstrap.cov": [[30, null]], "arch.bootstrap.IIDBootstrap.generator": [[31, null]], "arch.bootstrap.IIDBootstrap.get_state": [[32, null]], "arch.bootstrap.IIDBootstrap.index": [[33, null]], "arch.bootstrap.IIDBootstrap.random_state": [[34, null]], "arch.bootstrap.IIDBootstrap.reset": [[35, null]], "arch.bootstrap.IIDBootstrap.seed": [[36, null]], "arch.bootstrap.IIDBootstrap.set_state": [[37, null]], "arch.bootstrap.IIDBootstrap.state": [[38, null]], "arch.bootstrap.IIDBootstrap.update_indices": [[39, null]], "arch.bootstrap.IIDBootstrap.var": [[40, null]], "arch.bootstrap.IndependentSamplesBootstrap": [[7, null]], "arch.bootstrap.IndependentSamplesBootstrap.apply": [[41, null]], "arch.bootstrap.IndependentSamplesBootstrap.bootstrap": [[42, null]], "arch.bootstrap.IndependentSamplesBootstrap.clone": [[43, null]], "arch.bootstrap.IndependentSamplesBootstrap.conf_int": [[44, null]], "arch.bootstrap.IndependentSamplesBootstrap.cov": [[45, null]], "arch.bootstrap.IndependentSamplesBootstrap.generator": [[46, null]], "arch.bootstrap.IndependentSamplesBootstrap.get_state": [[47, null]], "arch.bootstrap.IndependentSamplesBootstrap.index": [[48, null]], "arch.bootstrap.IndependentSamplesBootstrap.random_state": [[49, null]], "arch.bootstrap.IndependentSamplesBootstrap.reset": [[50, null]], "arch.bootstrap.IndependentSamplesBootstrap.seed": [[51, null]], "arch.bootstrap.IndependentSamplesBootstrap.set_state": [[52, null]], "arch.bootstrap.IndependentSamplesBootstrap.state": [[53, null]], "arch.bootstrap.IndependentSamplesBootstrap.update_indices": [[54, null]], "arch.bootstrap.IndependentSamplesBootstrap.var": [[55, null]], "arch.bootstrap.MCS": [[250, null]], "arch.bootstrap.MCS.compute": [[253, null]], "arch.bootstrap.MCS.excluded": [[254, null]], "arch.bootstrap.MCS.included": [[255, null]], "arch.bootstrap.MCS.pvalues": [[256, null]], "arch.bootstrap.MCS.reset": [[257, null]], "arch.bootstrap.MCS.seed": [[258, null]], "arch.bootstrap.MovingBlockBootstrap": [[8, null]], "arch.bootstrap.MovingBlockBootstrap.apply": [[56, null]], "arch.bootstrap.MovingBlockBootstrap.bootstrap": [[57, null]], "arch.bootstrap.MovingBlockBootstrap.clone": [[58, null]], "arch.bootstrap.MovingBlockBootstrap.conf_int": [[59, null]], "arch.bootstrap.MovingBlockBootstrap.cov": [[60, null]], "arch.bootstrap.MovingBlockBootstrap.generator": [[61, null]], "arch.bootstrap.MovingBlockBootstrap.get_state": [[62, null]], "arch.bootstrap.MovingBlockBootstrap.index": [[63, null]], "arch.bootstrap.MovingBlockBootstrap.random_state": [[64, null]], "arch.bootstrap.MovingBlockBootstrap.reset": [[65, null]], "arch.bootstrap.MovingBlockBootstrap.seed": [[66, null]], "arch.bootstrap.MovingBlockBootstrap.set_state": [[67, null]], "arch.bootstrap.MovingBlockBootstrap.state": [[68, null]], "arch.bootstrap.MovingBlockBootstrap.update_indices": [[69, null]], "arch.bootstrap.MovingBlockBootstrap.var": [[70, null]], "arch.bootstrap.SPA": [[251, null]], "arch.bootstrap.SPA.better_models": [[259, null]], "arch.bootstrap.SPA.compute": [[260, null]], "arch.bootstrap.SPA.critical_values": [[261, null]], "arch.bootstrap.SPA.pvalues": [[262, null]], "arch.bootstrap.SPA.reset": [[263, null]], "arch.bootstrap.SPA.seed": [[264, null]], "arch.bootstrap.SPA.subset": [[265, null]], "arch.bootstrap.StationaryBootstrap": [[9, null]], "arch.bootstrap.StationaryBootstrap.apply": [[71, null]], "arch.bootstrap.StationaryBootstrap.bootstrap": [[72, null]], "arch.bootstrap.StationaryBootstrap.clone": [[73, null]], "arch.bootstrap.StationaryBootstrap.conf_int": [[74, null]], "arch.bootstrap.StationaryBootstrap.cov": [[75, null]], "arch.bootstrap.StationaryBootstrap.generator": [[76, null]], "arch.bootstrap.StationaryBootstrap.get_state": [[77, null]], "arch.bootstrap.StationaryBootstrap.index": [[78, null]], "arch.bootstrap.StationaryBootstrap.random_state": [[79, null]], "arch.bootstrap.StationaryBootstrap.reset": [[80, null]], "arch.bootstrap.StationaryBootstrap.seed": [[81, null]], "arch.bootstrap.StationaryBootstrap.set_state": [[82, null]], "arch.bootstrap.StationaryBootstrap.state": [[83, null]], "arch.bootstrap.StationaryBootstrap.update_indices": [[84, null]], "arch.bootstrap.StationaryBootstrap.var": [[85, null]], "arch.bootstrap.StepM": [[252, null]], "arch.bootstrap.StepM.compute": [[266, null]], "arch.bootstrap.StepM.reset": [[267, null]], "arch.bootstrap.StepM.seed": [[268, null]], "arch.bootstrap.StepM.superior_models": [[269, null]], "arch.bootstrap.optimal_block_length": [[10, null]], "arch.covariance.kernel.Andrews": [[100, null]], "arch.covariance.kernel.Andrews.bandwidth": [[114, null]], "arch.covariance.kernel.Andrews.bandwidth_scale": [[115, null]], "arch.covariance.kernel.Andrews.centered": [[116, null]], "arch.covariance.kernel.Andrews.cov": [[117, null]], "arch.covariance.kernel.Andrews.force_int": [[118, null]], "arch.covariance.kernel.Andrews.kernel_const": [[119, null]], "arch.covariance.kernel.Andrews.kernel_weights": [[120, null]], "arch.covariance.kernel.Andrews.name": [[121, null]], "arch.covariance.kernel.Andrews.opt_bandwidth": [[122, null]], "arch.covariance.kernel.Andrews.rate": [[123, null]], "arch.covariance.kernel.Bartlett": [[101, null]], "arch.covariance.kernel.Bartlett.bandwidth": [[124, null]], "arch.covariance.kernel.Bartlett.bandwidth_scale": [[125, null]], "arch.covariance.kernel.Bartlett.centered": [[126, null]], "arch.covariance.kernel.Bartlett.cov": [[127, null]], "arch.covariance.kernel.Bartlett.force_int": [[128, null]], "arch.covariance.kernel.Bartlett.kernel_const": [[129, null]], "arch.covariance.kernel.Bartlett.kernel_weights": [[130, null]], "arch.covariance.kernel.Bartlett.name": [[131, null]], "arch.covariance.kernel.Bartlett.opt_bandwidth": [[132, null]], "arch.covariance.kernel.Bartlett.rate": [[133, null]], "arch.covariance.kernel.CovarianceEstimate": [[102, null]], "arch.covariance.kernel.CovarianceEstimate.long_run": [[134, null]], "arch.covariance.kernel.CovarianceEstimate.one_sided": [[135, null]], "arch.covariance.kernel.CovarianceEstimate.one_sided_strict": [[136, null]], "arch.covariance.kernel.CovarianceEstimate.short_run": [[137, null]], "arch.covariance.kernel.CovarianceEstimator": [[103, null]], "arch.covariance.kernel.CovarianceEstimator.bandwidth": [[138, null]], "arch.covariance.kernel.CovarianceEstimator.bandwidth_scale": [[139, null]], "arch.covariance.kernel.CovarianceEstimator.centered": [[140, null]], "arch.covariance.kernel.CovarianceEstimator.cov": [[141, null]], "arch.covariance.kernel.CovarianceEstimator.force_int": [[142, null]], "arch.covariance.kernel.CovarianceEstimator.kernel_const": [[143, null]], "arch.covariance.kernel.CovarianceEstimator.kernel_weights": [[144, null]], "arch.covariance.kernel.CovarianceEstimator.name": [[145, null]], "arch.covariance.kernel.CovarianceEstimator.opt_bandwidth": [[146, null]], "arch.covariance.kernel.CovarianceEstimator.rate": [[147, null]], "arch.covariance.kernel.Gallant": [[104, null]], "arch.covariance.kernel.Gallant.bandwidth": [[148, null]], "arch.covariance.kernel.Gallant.bandwidth_scale": [[149, null]], "arch.covariance.kernel.Gallant.centered": [[150, null]], "arch.covariance.kernel.Gallant.cov": [[151, null]], "arch.covariance.kernel.Gallant.force_int": [[152, null]], "arch.covariance.kernel.Gallant.kernel_const": [[153, null]], "arch.covariance.kernel.Gallant.kernel_weights": [[154, null]], "arch.covariance.kernel.Gallant.name": [[155, null]], "arch.covariance.kernel.Gallant.opt_bandwidth": [[156, null]], "arch.covariance.kernel.Gallant.rate": [[157, null]], "arch.covariance.kernel.NeweyWest": [[105, null]], "arch.covariance.kernel.NeweyWest.bandwidth": [[158, null]], "arch.covariance.kernel.NeweyWest.bandwidth_scale": [[159, null]], "arch.covariance.kernel.NeweyWest.centered": [[160, null]], "arch.covariance.kernel.NeweyWest.cov": [[161, null]], "arch.covariance.kernel.NeweyWest.force_int": [[162, null]], "arch.covariance.kernel.NeweyWest.kernel_const": [[163, null]], "arch.covariance.kernel.NeweyWest.kernel_weights": [[164, null]], "arch.covariance.kernel.NeweyWest.name": [[165, null]], "arch.covariance.kernel.NeweyWest.opt_bandwidth": [[166, null]], "arch.covariance.kernel.NeweyWest.rate": [[167, null]], "arch.covariance.kernel.Parzen": [[106, null]], "arch.covariance.kernel.Parzen.bandwidth": [[168, null]], "arch.covariance.kernel.Parzen.bandwidth_scale": [[169, null]], "arch.covariance.kernel.Parzen.centered": [[170, null]], "arch.covariance.kernel.Parzen.cov": [[171, null]], "arch.covariance.kernel.Parzen.force_int": [[172, null]], "arch.covariance.kernel.Parzen.kernel_const": [[173, null]], "arch.covariance.kernel.Parzen.kernel_weights": [[174, null]], "arch.covariance.kernel.Parzen.name": [[175, null]], "arch.covariance.kernel.Parzen.opt_bandwidth": [[176, null]], "arch.covariance.kernel.Parzen.rate": [[177, null]], "arch.covariance.kernel.ParzenCauchy": [[107, null]], "arch.covariance.kernel.ParzenCauchy.bandwidth": [[178, null]], "arch.covariance.kernel.ParzenCauchy.bandwidth_scale": [[179, null]], "arch.covariance.kernel.ParzenCauchy.centered": [[180, null]], "arch.covariance.kernel.ParzenCauchy.cov": [[181, null]], "arch.covariance.kernel.ParzenCauchy.force_int": [[182, null]], "arch.covariance.kernel.ParzenCauchy.kernel_const": [[183, null]], "arch.covariance.kernel.ParzenCauchy.kernel_weights": [[184, null]], "arch.covariance.kernel.ParzenCauchy.name": [[185, null]], "arch.covariance.kernel.ParzenCauchy.opt_bandwidth": [[186, null]], "arch.covariance.kernel.ParzenCauchy.rate": [[187, null]], "arch.covariance.kernel.ParzenGeometric": [[108, null]], "arch.covariance.kernel.ParzenGeometric.bandwidth": [[188, null]], "arch.covariance.kernel.ParzenGeometric.bandwidth_scale": [[189, null]], "arch.covariance.kernel.ParzenGeometric.centered": [[190, null]], "arch.covariance.kernel.ParzenGeometric.cov": [[191, null]], "arch.covariance.kernel.ParzenGeometric.force_int": [[192, null]], "arch.covariance.kernel.ParzenGeometric.kernel_const": [[193, null]], "arch.covariance.kernel.ParzenGeometric.kernel_weights": [[194, null]], "arch.covariance.kernel.ParzenGeometric.name": [[195, null]], "arch.covariance.kernel.ParzenGeometric.opt_bandwidth": [[196, null]], "arch.covariance.kernel.ParzenGeometric.rate": [[197, null]], "arch.covariance.kernel.ParzenRiesz": [[109, null]], "arch.covariance.kernel.ParzenRiesz.bandwidth": [[198, null]], "arch.covariance.kernel.ParzenRiesz.bandwidth_scale": [[199, null]], "arch.covariance.kernel.ParzenRiesz.centered": [[200, null]], "arch.covariance.kernel.ParzenRiesz.cov": [[201, null]], "arch.covariance.kernel.ParzenRiesz.force_int": [[202, null]], "arch.covariance.kernel.ParzenRiesz.kernel_const": [[203, null]], "arch.covariance.kernel.ParzenRiesz.kernel_weights": [[204, null]], "arch.covariance.kernel.ParzenRiesz.name": [[205, null]], "arch.covariance.kernel.ParzenRiesz.opt_bandwidth": [[206, null]], "arch.covariance.kernel.ParzenRiesz.rate": [[207, null]], "arch.covariance.kernel.QuadraticSpectral": [[110, null]], "arch.covariance.kernel.QuadraticSpectral.bandwidth": [[208, null]], "arch.covariance.kernel.QuadraticSpectral.bandwidth_scale": [[209, null]], "arch.covariance.kernel.QuadraticSpectral.centered": [[210, null]], "arch.covariance.kernel.QuadraticSpectral.cov": [[211, null]], "arch.covariance.kernel.QuadraticSpectral.force_int": [[212, null]], "arch.covariance.kernel.QuadraticSpectral.kernel_const": [[213, null]], "arch.covariance.kernel.QuadraticSpectral.kernel_weights": [[214, null]], "arch.covariance.kernel.QuadraticSpectral.name": [[215, null]], "arch.covariance.kernel.QuadraticSpectral.opt_bandwidth": [[216, null]], "arch.covariance.kernel.QuadraticSpectral.rate": [[217, null]], "arch.covariance.kernel.TukeyHamming": [[111, null]], "arch.covariance.kernel.TukeyHamming.bandwidth": [[218, null]], "arch.covariance.kernel.TukeyHamming.bandwidth_scale": [[219, null]], "arch.covariance.kernel.TukeyHamming.centered": [[220, null]], "arch.covariance.kernel.TukeyHamming.cov": [[221, null]], "arch.covariance.kernel.TukeyHamming.force_int": [[222, null]], "arch.covariance.kernel.TukeyHamming.kernel_const": [[223, null]], "arch.covariance.kernel.TukeyHamming.kernel_weights": [[224, null]], "arch.covariance.kernel.TukeyHamming.name": [[225, null]], "arch.covariance.kernel.TukeyHamming.opt_bandwidth": [[226, null]], "arch.covariance.kernel.TukeyHamming.rate": [[227, null]], "arch.covariance.kernel.TukeyHanning": [[112, null]], "arch.covariance.kernel.TukeyHanning.bandwidth": [[228, null]], "arch.covariance.kernel.TukeyHanning.bandwidth_scale": [[229, null]], "arch.covariance.kernel.TukeyHanning.centered": [[230, null]], "arch.covariance.kernel.TukeyHanning.cov": [[231, null]], "arch.covariance.kernel.TukeyHanning.force_int": [[232, null]], "arch.covariance.kernel.TukeyHanning.kernel_const": [[233, null]], "arch.covariance.kernel.TukeyHanning.kernel_weights": [[234, null]], "arch.covariance.kernel.TukeyHanning.name": [[235, null]], "arch.covariance.kernel.TukeyHanning.opt_bandwidth": [[236, null]], "arch.covariance.kernel.TukeyHanning.rate": [[237, null]], "arch.covariance.kernel.TukeyParzen": [[113, null]], "arch.covariance.kernel.TukeyParzen.bandwidth": [[238, null]], "arch.covariance.kernel.TukeyParzen.bandwidth_scale": [[239, null]], "arch.covariance.kernel.TukeyParzen.centered": [[240, null]], "arch.covariance.kernel.TukeyParzen.cov": [[241, null]], "arch.covariance.kernel.TukeyParzen.force_int": [[242, null]], "arch.covariance.kernel.TukeyParzen.kernel_const": [[243, null]], "arch.covariance.kernel.TukeyParzen.kernel_weights": [[244, null]], "arch.covariance.kernel.TukeyParzen.name": [[245, null]], "arch.covariance.kernel.TukeyParzen.opt_bandwidth": [[246, null]], "arch.covariance.kernel.TukeyParzen.rate": [[247, null]], "arch.unitroot.ADF": [[275, null]], "arch.unitroot.ADF.alternative_hypothesis": [[291, null]], "arch.unitroot.ADF.critical_values": [[292, null]], "arch.unitroot.ADF.lags": [[293, null]], "arch.unitroot.ADF.max_lags": [[294, null]], "arch.unitroot.ADF.nobs": [[295, null]], "arch.unitroot.ADF.null_hypothesis": [[296, null]], "arch.unitroot.ADF.pvalue": [[297, null]], "arch.unitroot.ADF.regression": [[298, null]], "arch.unitroot.ADF.stat": [[299, null]], "arch.unitroot.ADF.summary": [[300, null]], "arch.unitroot.ADF.trend": [[301, null]], "arch.unitroot.ADF.valid_trends": [[302, null]], "arch.unitroot.ADF.y": [[303, null]], "arch.unitroot.DFGLS": [[276, null]], "arch.unitroot.DFGLS.alternative_hypothesis": [[304, null]], "arch.unitroot.DFGLS.critical_values": [[305, null]], "arch.unitroot.DFGLS.lags": [[306, null]], "arch.unitroot.DFGLS.max_lags": [[307, null]], "arch.unitroot.DFGLS.nobs": [[308, null]], "arch.unitroot.DFGLS.null_hypothesis": [[309, null]], "arch.unitroot.DFGLS.pvalue": [[310, null]], "arch.unitroot.DFGLS.regression": [[311, null]], "arch.unitroot.DFGLS.stat": [[312, null]], "arch.unitroot.DFGLS.summary": [[313, null]], "arch.unitroot.DFGLS.trend": [[314, null]], "arch.unitroot.DFGLS.valid_trends": [[315, null]], "arch.unitroot.DFGLS.y": [[316, null]], "arch.unitroot.KPSS": [[277, null]], "arch.unitroot.KPSS.alternative_hypothesis": [[317, null]], "arch.unitroot.KPSS.critical_values": [[318, null]], "arch.unitroot.KPSS.lags": [[319, null]], "arch.unitroot.KPSS.nobs": [[320, null]], "arch.unitroot.KPSS.null_hypothesis": [[321, null]], "arch.unitroot.KPSS.pvalue": [[322, null]], "arch.unitroot.KPSS.stat": [[323, null]], "arch.unitroot.KPSS.summary": [[324, null]], "arch.unitroot.KPSS.trend": [[325, null]], "arch.unitroot.KPSS.valid_trends": [[326, null]], "arch.unitroot.KPSS.y": [[327, null]], "arch.unitroot.PhillipsPerron": [[278, null]], "arch.unitroot.PhillipsPerron.alternative_hypothesis": [[328, null]], "arch.unitroot.PhillipsPerron.critical_values": [[329, null]], "arch.unitroot.PhillipsPerron.lags": [[330, null]], "arch.unitroot.PhillipsPerron.nobs": [[331, null]], "arch.unitroot.PhillipsPerron.null_hypothesis": [[332, null]], "arch.unitroot.PhillipsPerron.pvalue": [[333, null]], "arch.unitroot.PhillipsPerron.regression": [[334, null]], "arch.unitroot.PhillipsPerron.stat": [[335, null]], "arch.unitroot.PhillipsPerron.summary": [[336, null]], "arch.unitroot.PhillipsPerron.test_type": [[337, null]], "arch.unitroot.PhillipsPerron.trend": [[338, null]], "arch.unitroot.PhillipsPerron.valid_trends": [[339, null]], "arch.unitroot.PhillipsPerron.y": [[340, null]], "arch.unitroot.VarianceRatio": [[279, null]], "arch.unitroot.VarianceRatio.alternative_hypothesis": [[341, null]], "arch.unitroot.VarianceRatio.critical_values": [[342, null]], "arch.unitroot.VarianceRatio.debiased": [[343, null]], "arch.unitroot.VarianceRatio.lags": [[344, null]], "arch.unitroot.VarianceRatio.nobs": [[345, null]], "arch.unitroot.VarianceRatio.null_hypothesis": [[346, null]], "arch.unitroot.VarianceRatio.overlap": [[347, null]], "arch.unitroot.VarianceRatio.pvalue": [[348, null]], "arch.unitroot.VarianceRatio.robust": [[349, null]], "arch.unitroot.VarianceRatio.stat": [[350, null]], "arch.unitroot.VarianceRatio.summary": [[351, null]], "arch.unitroot.VarianceRatio.trend": [[352, null]], "arch.unitroot.VarianceRatio.valid_trends": [[353, null]], "arch.unitroot.VarianceRatio.vr": [[354, null]], "arch.unitroot.VarianceRatio.y": [[355, null]], "arch.unitroot.ZivotAndrews": [[280, null]], "arch.unitroot.ZivotAndrews.alternative_hypothesis": [[356, null]], "arch.unitroot.ZivotAndrews.critical_values": [[357, null]], "arch.unitroot.ZivotAndrews.lags": [[358, null]], "arch.unitroot.ZivotAndrews.nobs": [[359, null]], "arch.unitroot.ZivotAndrews.null_hypothesis": [[360, null]], "arch.unitroot.ZivotAndrews.pvalue": [[361, null]], "arch.unitroot.ZivotAndrews.stat": [[362, null]], "arch.unitroot.ZivotAndrews.summary": [[363, null]], "arch.unitroot.ZivotAndrews.trend": [[364, null]], "arch.unitroot.ZivotAndrews.valid_trends": [[365, null]], "arch.unitroot.ZivotAndrews.y": [[366, null]], "arch.unitroot.auto_bandwidth": [[281, null]], "arch.unitroot.cointegration.CanonicalCointegratingReg": [[282, null]], "arch.unitroot.cointegration.CanonicalCointegratingReg.fit": [[367, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults": [[283, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth": [[368, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.cov": [[369, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.kernel": [[370, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance": [[371, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.params": [[372, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues": [[373, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.resid": [[374, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance": [[375, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared": [[376, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj": [[377, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors": [[378, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.summary": [[379, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues": [[380, null]], "arch.unitroot.cointegration.DynamicOLS": [[284, null]], "arch.unitroot.cointegration.DynamicOLS.fit": [[381, null]], "arch.unitroot.cointegration.DynamicOLSResults": [[285, null]], "arch.unitroot.cointegration.DynamicOLSResults.bandwidth": [[382, null]], "arch.unitroot.cointegration.DynamicOLSResults.cov": [[383, null]], "arch.unitroot.cointegration.DynamicOLSResults.cov_type": [[384, null]], "arch.unitroot.cointegration.DynamicOLSResults.full_cov": [[385, null]], "arch.unitroot.cointegration.DynamicOLSResults.full_params": [[386, null]], "arch.unitroot.cointegration.DynamicOLSResults.kernel": [[387, null]], "arch.unitroot.cointegration.DynamicOLSResults.lags": [[388, null]], "arch.unitroot.cointegration.DynamicOLSResults.leads": [[389, null]], "arch.unitroot.cointegration.DynamicOLSResults.long_run_variance": [[390, null]], "arch.unitroot.cointegration.DynamicOLSResults.params": [[391, null]], "arch.unitroot.cointegration.DynamicOLSResults.pvalues": [[392, null]], "arch.unitroot.cointegration.DynamicOLSResults.resid": [[393, null]], "arch.unitroot.cointegration.DynamicOLSResults.residual_variance": [[394, null]], "arch.unitroot.cointegration.DynamicOLSResults.rsquared": [[395, null]], "arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj": [[396, null]], "arch.unitroot.cointegration.DynamicOLSResults.std_errors": [[397, null]], "arch.unitroot.cointegration.DynamicOLSResults.summary": [[398, null]], "arch.unitroot.cointegration.DynamicOLSResults.tvalues": [[399, null]], "arch.unitroot.cointegration.EngleGrangerTestResults": [[286, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis": [[400, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector": [[401, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.critical_values": [[402, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order": [[403, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.lags": [[404, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.max_lags": [[405, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.name": [[406, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis": [[407, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.plot": [[408, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.pvalue": [[409, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.resid": [[410, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.rho": [[411, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.stat": [[412, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.summary": [[413, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.trend": [[414, null]], "arch.unitroot.cointegration.FullyModifiedOLS": [[287, null]], "arch.unitroot.cointegration.FullyModifiedOLS.fit": [[415, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults": [[288, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis": [[416, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth": [[417, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector": [[418, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values": [[419, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order": [[420, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel": [[421, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.name": [[422, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis": [[423, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot": [[424, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue": [[425, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid": [[426, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat": [[427, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary": [[428, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend": [[429, null]], "arch.unitroot.cointegration.engle_granger": [[289, null]], "arch.unitroot.cointegration.phillips_ouliaris": [[290, null]], "arch.univariate.APARCH": [[438, null]], "arch.univariate.APARCH.backcast": [[468, null]], "arch.univariate.APARCH.backcast_transform": [[469, null]], "arch.univariate.APARCH.bounds": [[470, null]], "arch.univariate.APARCH.common_asym": [[471, null]], "arch.univariate.APARCH.compute_variance": [[472, null]], "arch.univariate.APARCH.constraints": [[473, null]], "arch.univariate.APARCH.delta": [[474, null]], "arch.univariate.APARCH.forecast": [[475, null]], "arch.univariate.APARCH.name": [[476, null]], "arch.univariate.APARCH.num_params": [[477, null]], "arch.univariate.APARCH.parameter_names": [[478, null]], "arch.univariate.APARCH.simulate": [[479, null]], "arch.univariate.APARCH.start": [[480, null]], "arch.univariate.APARCH.starting_values": [[481, null]], "arch.univariate.APARCH.stop": [[482, null]], "arch.univariate.APARCH.update": [[483, null]], "arch.univariate.APARCH.updateable": [[484, null]], "arch.univariate.APARCH.variance_bounds": [[485, null]], "arch.univariate.APARCH.volatility_updater": [[486, null]], "arch.univariate.ARCH": [[439, null]], "arch.univariate.ARCH.backcast": [[487, null]], "arch.univariate.ARCH.backcast_transform": [[488, null]], "arch.univariate.ARCH.bounds": [[489, null]], "arch.univariate.ARCH.compute_variance": [[490, null]], "arch.univariate.ARCH.constraints": [[491, null]], "arch.univariate.ARCH.forecast": [[492, null]], "arch.univariate.ARCH.name": [[493, null]], "arch.univariate.ARCH.num_params": [[494, null]], "arch.univariate.ARCH.parameter_names": [[495, null]], "arch.univariate.ARCH.simulate": [[496, null]], "arch.univariate.ARCH.start": [[497, null]], "arch.univariate.ARCH.starting_values": [[498, null]], "arch.univariate.ARCH.stop": [[499, null]], "arch.univariate.ARCH.update": [[500, null]], "arch.univariate.ARCH.updateable": [[501, null]], "arch.univariate.ARCH.variance_bounds": [[502, null]], "arch.univariate.ARCH.volatility_updater": [[503, null]], "arch.univariate.ARCHInMean": [[440, null]], "arch.univariate.ARCHInMean.bounds": [[504, null]], "arch.univariate.ARCHInMean.compute_param_cov": [[505, null]], "arch.univariate.ARCHInMean.constraints": [[506, null]], "arch.univariate.ARCHInMean.distribution": [[507, null]], "arch.univariate.ARCHInMean.fit": [[508, null]], "arch.univariate.ARCHInMean.fix": [[509, null]], "arch.univariate.ARCHInMean.forecast": [[510, null]], "arch.univariate.ARCHInMean.form": [[511, null]], "arch.univariate.ARCHInMean.name": [[512, null]], "arch.univariate.ARCHInMean.num_params": [[513, null]], "arch.univariate.ARCHInMean.parameter_names": [[514, null]], "arch.univariate.ARCHInMean.resids": [[515, null]], "arch.univariate.ARCHInMean.simulate": [[516, null]], "arch.univariate.ARCHInMean.starting_values": [[517, null]], "arch.univariate.ARCHInMean.volatility": [[518, null]], "arch.univariate.ARCHInMean.x": [[519, null]], "arch.univariate.ARCHInMean.y": [[520, null]], "arch.univariate.ARX": [[441, null]], "arch.univariate.ARX.bounds": [[521, null]], "arch.univariate.ARX.compute_param_cov": [[522, null]], "arch.univariate.ARX.constraints": [[523, null]], "arch.univariate.ARX.distribution": [[524, null]], "arch.univariate.ARX.fit": [[525, null]], "arch.univariate.ARX.fix": [[526, null]], "arch.univariate.ARX.forecast": [[527, null]], "arch.univariate.ARX.name": [[528, null]], "arch.univariate.ARX.num_params": [[529, null]], "arch.univariate.ARX.parameter_names": [[530, null]], "arch.univariate.ARX.resids": [[531, null]], "arch.univariate.ARX.simulate": [[532, null]], "arch.univariate.ARX.starting_values": [[533, null]], "arch.univariate.ARX.volatility": [[534, null]], "arch.univariate.ARX.x": [[535, null]], "arch.univariate.ARX.y": [[536, null]], "arch.univariate.ConstantMean": [[442, null]], "arch.univariate.ConstantMean.bounds": [[537, null]], "arch.univariate.ConstantMean.compute_param_cov": [[538, null]], "arch.univariate.ConstantMean.constraints": [[539, null]], "arch.univariate.ConstantMean.distribution": [[540, null]], "arch.univariate.ConstantMean.fit": [[541, null]], "arch.univariate.ConstantMean.fix": [[542, null]], "arch.univariate.ConstantMean.forecast": [[543, null]], "arch.univariate.ConstantMean.name": [[544, null]], "arch.univariate.ConstantMean.num_params": [[545, null]], "arch.univariate.ConstantMean.parameter_names": [[546, null]], "arch.univariate.ConstantMean.resids": [[547, null]], "arch.univariate.ConstantMean.simulate": [[548, null]], "arch.univariate.ConstantMean.starting_values": [[549, null]], "arch.univariate.ConstantMean.volatility": [[550, null]], "arch.univariate.ConstantMean.x": [[551, null]], "arch.univariate.ConstantMean.y": [[552, null]], "arch.univariate.ConstantVariance": [[443, null]], "arch.univariate.ConstantVariance.backcast": [[553, null]], "arch.univariate.ConstantVariance.backcast_transform": [[554, null]], "arch.univariate.ConstantVariance.bounds": [[555, null]], "arch.univariate.ConstantVariance.compute_variance": [[556, null]], "arch.univariate.ConstantVariance.constraints": [[557, null]], "arch.univariate.ConstantVariance.forecast": [[558, null]], "arch.univariate.ConstantVariance.name": [[559, null]], "arch.univariate.ConstantVariance.num_params": [[560, null]], "arch.univariate.ConstantVariance.parameter_names": [[561, null]], "arch.univariate.ConstantVariance.simulate": [[562, null]], "arch.univariate.ConstantVariance.start": [[563, null]], "arch.univariate.ConstantVariance.starting_values": [[564, null]], "arch.univariate.ConstantVariance.stop": [[565, null]], "arch.univariate.ConstantVariance.update": [[566, null]], "arch.univariate.ConstantVariance.updateable": [[567, null]], "arch.univariate.ConstantVariance.variance_bounds": [[568, null]], "arch.univariate.ConstantVariance.volatility_updater": [[569, null]], "arch.univariate.EGARCH": [[444, null]], "arch.univariate.EGARCH.backcast": [[570, null]], "arch.univariate.EGARCH.backcast_transform": [[571, null]], "arch.univariate.EGARCH.bounds": [[572, null]], "arch.univariate.EGARCH.compute_variance": [[573, null]], "arch.univariate.EGARCH.constraints": [[574, null]], "arch.univariate.EGARCH.forecast": [[575, null]], "arch.univariate.EGARCH.name": [[576, null]], "arch.univariate.EGARCH.num_params": [[577, null]], "arch.univariate.EGARCH.parameter_names": [[578, null]], "arch.univariate.EGARCH.simulate": [[579, null]], "arch.univariate.EGARCH.start": [[580, null]], "arch.univariate.EGARCH.starting_values": [[581, null]], "arch.univariate.EGARCH.stop": [[582, null]], "arch.univariate.EGARCH.update": [[583, null]], "arch.univariate.EGARCH.updateable": [[584, null]], "arch.univariate.EGARCH.variance_bounds": [[585, null]], "arch.univariate.EGARCH.volatility_updater": [[586, null]], "arch.univariate.EWMAVariance": [[445, null]], "arch.univariate.EWMAVariance.backcast": [[587, null]], "arch.univariate.EWMAVariance.backcast_transform": [[588, null]], "arch.univariate.EWMAVariance.bounds": [[589, null]], "arch.univariate.EWMAVariance.compute_variance": [[590, null]], "arch.univariate.EWMAVariance.constraints": [[591, null]], "arch.univariate.EWMAVariance.forecast": [[592, null]], "arch.univariate.EWMAVariance.name": [[593, null]], "arch.univariate.EWMAVariance.num_params": [[594, null]], "arch.univariate.EWMAVariance.parameter_names": [[595, null]], "arch.univariate.EWMAVariance.simulate": [[596, null]], "arch.univariate.EWMAVariance.start": [[597, null]], "arch.univariate.EWMAVariance.starting_values": [[598, null]], "arch.univariate.EWMAVariance.stop": [[599, null]], "arch.univariate.EWMAVariance.update": [[600, null]], "arch.univariate.EWMAVariance.updateable": [[601, null]], "arch.univariate.EWMAVariance.variance_bounds": [[602, null]], "arch.univariate.EWMAVariance.volatility_updater": [[603, null]], "arch.univariate.FIGARCH": [[446, null]], "arch.univariate.FIGARCH.backcast": [[604, null]], "arch.univariate.FIGARCH.backcast_transform": [[605, null]], "arch.univariate.FIGARCH.bounds": [[606, null]], "arch.univariate.FIGARCH.compute_variance": [[607, null]], "arch.univariate.FIGARCH.constraints": [[608, null]], "arch.univariate.FIGARCH.forecast": [[609, null]], "arch.univariate.FIGARCH.name": [[610, null]], "arch.univariate.FIGARCH.num_params": [[611, null]], "arch.univariate.FIGARCH.parameter_names": [[612, null]], "arch.univariate.FIGARCH.simulate": [[613, null]], "arch.univariate.FIGARCH.start": [[614, null]], "arch.univariate.FIGARCH.starting_values": [[615, null]], "arch.univariate.FIGARCH.stop": [[616, null]], "arch.univariate.FIGARCH.truncation": [[617, null]], "arch.univariate.FIGARCH.update": [[618, null]], "arch.univariate.FIGARCH.updateable": [[619, null]], "arch.univariate.FIGARCH.variance_bounds": [[620, null]], "arch.univariate.FIGARCH.volatility_updater": [[621, null]], "arch.univariate.FixedVariance": [[447, null]], "arch.univariate.FixedVariance.backcast": [[622, null]], "arch.univariate.FixedVariance.backcast_transform": [[623, null]], "arch.univariate.FixedVariance.bounds": [[624, null]], "arch.univariate.FixedVariance.compute_variance": [[625, null]], "arch.univariate.FixedVariance.constraints": [[626, null]], "arch.univariate.FixedVariance.forecast": [[627, null]], "arch.univariate.FixedVariance.name": [[628, null]], "arch.univariate.FixedVariance.num_params": [[629, null]], "arch.univariate.FixedVariance.parameter_names": [[630, null]], "arch.univariate.FixedVariance.simulate": [[631, null]], "arch.univariate.FixedVariance.start": [[632, null]], "arch.univariate.FixedVariance.starting_values": [[633, null]], "arch.univariate.FixedVariance.stop": [[634, null]], "arch.univariate.FixedVariance.update": [[635, null]], "arch.univariate.FixedVariance.updateable": [[636, null]], "arch.univariate.FixedVariance.variance_bounds": [[637, null]], "arch.univariate.FixedVariance.volatility_updater": [[638, null]], "arch.univariate.GARCH": [[448, null]], "arch.univariate.GARCH.backcast": [[639, null]], "arch.univariate.GARCH.backcast_transform": [[640, null]], "arch.univariate.GARCH.bounds": [[641, null]], "arch.univariate.GARCH.compute_variance": [[642, null]], "arch.univariate.GARCH.constraints": [[643, null]], "arch.univariate.GARCH.forecast": [[644, null]], "arch.univariate.GARCH.name": [[645, null]], "arch.univariate.GARCH.num_params": [[646, null]], "arch.univariate.GARCH.parameter_names": [[647, null]], "arch.univariate.GARCH.simulate": [[648, null]], "arch.univariate.GARCH.start": [[649, null]], "arch.univariate.GARCH.starting_values": [[650, null]], "arch.univariate.GARCH.stop": [[651, null]], "arch.univariate.GARCH.update": [[652, null]], "arch.univariate.GARCH.updateable": [[653, null]], "arch.univariate.GARCH.variance_bounds": [[654, null]], "arch.univariate.GARCH.volatility_updater": [[655, null]], "arch.univariate.GeneralizedError": [[449, null]], "arch.univariate.GeneralizedError.bounds": [[656, null]], "arch.univariate.GeneralizedError.cdf": [[657, null]], "arch.univariate.GeneralizedError.constraints": [[658, null]], "arch.univariate.GeneralizedError.generator": [[659, null]], "arch.univariate.GeneralizedError.loglikelihood": [[660, null]], "arch.univariate.GeneralizedError.moment": [[661, null]], "arch.univariate.GeneralizedError.name": [[662, null]], "arch.univariate.GeneralizedError.parameter_names": [[663, null]], "arch.univariate.GeneralizedError.partial_moment": [[664, null]], "arch.univariate.GeneralizedError.ppf": [[665, null]], "arch.univariate.GeneralizedError.random_state": [[666, null]], "arch.univariate.GeneralizedError.simulate": [[667, null]], "arch.univariate.GeneralizedError.starting_values": [[668, null]], "arch.univariate.HARCH": [[450, null]], "arch.univariate.HARCH.backcast": [[669, null]], "arch.univariate.HARCH.backcast_transform": [[670, null]], "arch.univariate.HARCH.bounds": [[671, null]], "arch.univariate.HARCH.compute_variance": [[672, null]], "arch.univariate.HARCH.constraints": [[673, null]], "arch.univariate.HARCH.forecast": [[674, null]], "arch.univariate.HARCH.name": [[675, null]], "arch.univariate.HARCH.num_params": [[676, null]], "arch.univariate.HARCH.parameter_names": [[677, null]], "arch.univariate.HARCH.simulate": [[678, null]], "arch.univariate.HARCH.start": [[679, null]], "arch.univariate.HARCH.starting_values": [[680, null]], "arch.univariate.HARCH.stop": [[681, null]], "arch.univariate.HARCH.update": [[682, null]], "arch.univariate.HARCH.updateable": [[683, null]], "arch.univariate.HARCH.variance_bounds": [[684, null]], "arch.univariate.HARCH.volatility_updater": [[685, null]], "arch.univariate.HARX": [[451, null]], "arch.univariate.HARX.bounds": [[686, null]], "arch.univariate.HARX.compute_param_cov": [[687, null]], "arch.univariate.HARX.constraints": [[688, null]], "arch.univariate.HARX.distribution": [[689, null]], "arch.univariate.HARX.fit": [[690, null]], "arch.univariate.HARX.fix": [[691, null]], "arch.univariate.HARX.forecast": [[692, null]], "arch.univariate.HARX.name": [[693, null]], "arch.univariate.HARX.num_params": [[694, null]], "arch.univariate.HARX.parameter_names": [[695, null]], "arch.univariate.HARX.resids": [[696, null]], "arch.univariate.HARX.simulate": [[697, null]], "arch.univariate.HARX.starting_values": [[698, null]], "arch.univariate.HARX.volatility": [[699, null]], "arch.univariate.HARX.x": [[700, null]], "arch.univariate.HARX.y": [[701, null]], "arch.univariate.LS": [[452, null]], "arch.univariate.LS.bounds": [[702, null]], "arch.univariate.LS.compute_param_cov": [[703, null]], "arch.univariate.LS.constraints": [[704, null]], "arch.univariate.LS.distribution": [[705, null]], "arch.univariate.LS.fit": [[706, null]], "arch.univariate.LS.fix": [[707, null]], "arch.univariate.LS.forecast": [[708, null]], "arch.univariate.LS.name": [[709, null]], "arch.univariate.LS.num_params": [[710, null]], "arch.univariate.LS.parameter_names": [[711, null]], "arch.univariate.LS.resids": [[712, null]], "arch.univariate.LS.simulate": [[713, null]], "arch.univariate.LS.starting_values": [[714, null]], "arch.univariate.LS.volatility": [[715, null]], "arch.univariate.LS.x": [[716, null]], "arch.univariate.LS.y": [[717, null]], "arch.univariate.MIDASHyperbolic": [[453, null]], "arch.univariate.MIDASHyperbolic.backcast": [[718, null]], "arch.univariate.MIDASHyperbolic.backcast_transform": [[719, null]], "arch.univariate.MIDASHyperbolic.bounds": [[720, null]], "arch.univariate.MIDASHyperbolic.compute_variance": [[721, null]], "arch.univariate.MIDASHyperbolic.constraints": [[722, null]], "arch.univariate.MIDASHyperbolic.forecast": [[723, null]], "arch.univariate.MIDASHyperbolic.name": [[724, null]], "arch.univariate.MIDASHyperbolic.num_params": [[725, null]], "arch.univariate.MIDASHyperbolic.parameter_names": [[726, null]], "arch.univariate.MIDASHyperbolic.simulate": [[727, null]], "arch.univariate.MIDASHyperbolic.start": [[728, null]], "arch.univariate.MIDASHyperbolic.starting_values": [[729, null]], "arch.univariate.MIDASHyperbolic.stop": [[730, null]], "arch.univariate.MIDASHyperbolic.update": [[731, null]], "arch.univariate.MIDASHyperbolic.updateable": [[732, null]], "arch.univariate.MIDASHyperbolic.variance_bounds": [[733, null]], "arch.univariate.MIDASHyperbolic.volatility_updater": [[734, null]], "arch.univariate.Normal": [[454, null]], "arch.univariate.Normal.bounds": [[735, null]], "arch.univariate.Normal.cdf": [[736, null]], "arch.univariate.Normal.constraints": [[737, null]], "arch.univariate.Normal.generator": [[738, null]], "arch.univariate.Normal.loglikelihood": [[739, null]], "arch.univariate.Normal.moment": [[740, null]], "arch.univariate.Normal.name": [[741, null]], "arch.univariate.Normal.parameter_names": [[742, null]], "arch.univariate.Normal.partial_moment": [[743, null]], "arch.univariate.Normal.ppf": [[744, null]], "arch.univariate.Normal.random_state": [[745, null]], "arch.univariate.Normal.simulate": [[746, null]], "arch.univariate.Normal.starting_values": [[747, null]], "arch.univariate.RiskMetrics2006": [[455, null]], "arch.univariate.RiskMetrics2006.backcast": [[748, null]], "arch.univariate.RiskMetrics2006.backcast_transform": [[749, null]], "arch.univariate.RiskMetrics2006.bounds": [[750, null]], "arch.univariate.RiskMetrics2006.compute_variance": [[751, null]], "arch.univariate.RiskMetrics2006.constraints": [[752, null]], "arch.univariate.RiskMetrics2006.forecast": [[753, null]], "arch.univariate.RiskMetrics2006.name": [[754, null]], "arch.univariate.RiskMetrics2006.num_params": [[755, null]], "arch.univariate.RiskMetrics2006.parameter_names": [[756, null]], "arch.univariate.RiskMetrics2006.simulate": [[757, null]], "arch.univariate.RiskMetrics2006.start": [[758, null]], "arch.univariate.RiskMetrics2006.starting_values": [[759, null]], "arch.univariate.RiskMetrics2006.stop": [[760, null]], "arch.univariate.RiskMetrics2006.update": [[761, null]], "arch.univariate.RiskMetrics2006.updateable": [[762, null]], "arch.univariate.RiskMetrics2006.variance_bounds": [[763, null]], "arch.univariate.RiskMetrics2006.volatility_updater": [[764, null]], "arch.univariate.SkewStudent": [[456, null]], "arch.univariate.SkewStudent.bounds": [[765, null]], "arch.univariate.SkewStudent.cdf": [[766, null]], "arch.univariate.SkewStudent.constraints": [[767, null]], "arch.univariate.SkewStudent.generator": [[768, null]], "arch.univariate.SkewStudent.loglikelihood": [[769, null]], "arch.univariate.SkewStudent.moment": [[770, null]], "arch.univariate.SkewStudent.name": [[771, null]], "arch.univariate.SkewStudent.parameter_names": [[772, null]], "arch.univariate.SkewStudent.partial_moment": [[773, null]], "arch.univariate.SkewStudent.ppf": [[774, null]], "arch.univariate.SkewStudent.random_state": [[775, null]], "arch.univariate.SkewStudent.simulate": [[776, null]], "arch.univariate.SkewStudent.starting_values": [[777, null]], "arch.univariate.StudentsT": [[457, null]], "arch.univariate.StudentsT.bounds": [[778, null]], "arch.univariate.StudentsT.cdf": [[779, null]], "arch.univariate.StudentsT.constraints": [[780, null]], "arch.univariate.StudentsT.generator": [[781, null]], "arch.univariate.StudentsT.loglikelihood": [[782, null]], "arch.univariate.StudentsT.moment": [[783, null]], "arch.univariate.StudentsT.name": [[784, null]], "arch.univariate.StudentsT.parameter_names": [[785, null]], "arch.univariate.StudentsT.partial_moment": [[786, null]], "arch.univariate.StudentsT.ppf": [[787, null]], "arch.univariate.StudentsT.random_state": [[788, null]], "arch.univariate.StudentsT.simulate": [[789, null]], "arch.univariate.StudentsT.starting_values": [[790, null]], "arch.univariate.ZeroMean": [[458, null]], "arch.univariate.ZeroMean.bounds": [[791, null]], "arch.univariate.ZeroMean.compute_param_cov": [[792, null]], "arch.univariate.ZeroMean.constraints": [[793, null]], "arch.univariate.ZeroMean.distribution": [[794, null]], "arch.univariate.ZeroMean.fit": [[795, null]], "arch.univariate.ZeroMean.fix": [[796, null]], "arch.univariate.ZeroMean.forecast": [[797, null]], "arch.univariate.ZeroMean.name": [[798, null]], "arch.univariate.ZeroMean.num_params": [[799, null]], "arch.univariate.ZeroMean.parameter_names": [[800, null]], "arch.univariate.ZeroMean.resids": [[801, null]], "arch.univariate.ZeroMean.simulate": [[802, null]], "arch.univariate.ZeroMean.starting_values": [[803, null]], "arch.univariate.ZeroMean.volatility": [[804, null]], "arch.univariate.ZeroMean.x": [[805, null]], "arch.univariate.ZeroMean.y": [[806, null]], "arch.univariate.base.ARCHModel": [[459, null]], "arch.univariate.base.ARCHModel.bounds": [[807, null]], "arch.univariate.base.ARCHModel.compute_param_cov": [[808, null]], "arch.univariate.base.ARCHModel.constraints": [[809, null]], "arch.univariate.base.ARCHModel.distribution": [[810, null]], "arch.univariate.base.ARCHModel.fit": [[811, null]], "arch.univariate.base.ARCHModel.fix": [[812, null]], "arch.univariate.base.ARCHModel.forecast": [[813, null]], "arch.univariate.base.ARCHModel.name": [[814, null]], "arch.univariate.base.ARCHModel.num_params": [[815, null]], "arch.univariate.base.ARCHModel.parameter_names": [[816, null]], "arch.univariate.base.ARCHModel.resids": [[817, null]], "arch.univariate.base.ARCHModel.simulate": [[818, null]], "arch.univariate.base.ARCHModel.starting_values": [[819, null]], "arch.univariate.base.ARCHModel.volatility": [[820, null]], "arch.univariate.base.ARCHModel.y": [[821, null]], "arch.univariate.base.ARCHModelFixedResult": [[460, null]], "arch.univariate.base.ARCHModelFixedResult.aic": [[822, null]], "arch.univariate.base.ARCHModelFixedResult.arch_lm_test": [[823, null]], "arch.univariate.base.ARCHModelFixedResult.bic": [[824, null]], "arch.univariate.base.ARCHModelFixedResult.conditional_volatility": [[825, null]], "arch.univariate.base.ARCHModelFixedResult.forecast": [[826, null]], "arch.univariate.base.ARCHModelFixedResult.hedgehog_plot": [[827, null]], "arch.univariate.base.ARCHModelFixedResult.loglikelihood": [[828, null]], "arch.univariate.base.ARCHModelFixedResult.model": [[829, null]], "arch.univariate.base.ARCHModelFixedResult.nobs": [[830, null]], "arch.univariate.base.ARCHModelFixedResult.num_params": [[831, null]], "arch.univariate.base.ARCHModelFixedResult.params": [[832, null]], "arch.univariate.base.ARCHModelFixedResult.plot": [[833, null]], "arch.univariate.base.ARCHModelFixedResult.resid": [[834, null]], "arch.univariate.base.ARCHModelFixedResult.std_resid": [[835, null]], "arch.univariate.base.ARCHModelFixedResult.summary": [[836, null]], "arch.univariate.base.ARCHModelForecast": [[461, null]], "arch.univariate.base.ARCHModelForecast.mean": [[837, null]], "arch.univariate.base.ARCHModelForecast.residual_variance": [[838, null]], "arch.univariate.base.ARCHModelForecast.simulations": [[839, null]], "arch.univariate.base.ARCHModelForecast.variance": [[840, null]], "arch.univariate.base.ARCHModelForecastSimulation": [[462, null]], "arch.univariate.base.ARCHModelForecastSimulation.index": [[841, null]], "arch.univariate.base.ARCHModelForecastSimulation.residual_variances": [[842, null]], "arch.univariate.base.ARCHModelForecastSimulation.residuals": [[843, null]], "arch.univariate.base.ARCHModelForecastSimulation.values": [[844, null]], "arch.univariate.base.ARCHModelForecastSimulation.variances": [[845, null]], "arch.univariate.base.ARCHModelResult": [[463, null]], "arch.univariate.base.ARCHModelResult.aic": [[846, null]], "arch.univariate.base.ARCHModelResult.arch_lm_test": [[847, null]], "arch.univariate.base.ARCHModelResult.bic": [[848, null]], "arch.univariate.base.ARCHModelResult.conditional_volatility": [[849, null]], "arch.univariate.base.ARCHModelResult.conf_int": [[850, null]], "arch.univariate.base.ARCHModelResult.convergence_flag": [[851, null]], "arch.univariate.base.ARCHModelResult.fit_start": [[852, null]], "arch.univariate.base.ARCHModelResult.fit_stop": [[853, null]], "arch.univariate.base.ARCHModelResult.forecast": [[854, null]], "arch.univariate.base.ARCHModelResult.hedgehog_plot": [[855, null]], "arch.univariate.base.ARCHModelResult.loglikelihood": [[856, null]], "arch.univariate.base.ARCHModelResult.model": [[857, null]], "arch.univariate.base.ARCHModelResult.nobs": [[858, null]], "arch.univariate.base.ARCHModelResult.num_params": [[859, null]], "arch.univariate.base.ARCHModelResult.optimization_result": [[860, null]], "arch.univariate.base.ARCHModelResult.param_cov": [[861, null]], "arch.univariate.base.ARCHModelResult.params": [[862, null]], "arch.univariate.base.ARCHModelResult.plot": [[863, null]], "arch.univariate.base.ARCHModelResult.pvalues": [[864, null]], "arch.univariate.base.ARCHModelResult.resid": [[865, null]], "arch.univariate.base.ARCHModelResult.rsquared": [[866, null]], "arch.univariate.base.ARCHModelResult.rsquared_adj": [[867, null]], "arch.univariate.base.ARCHModelResult.scale": [[868, null]], "arch.univariate.base.ARCHModelResult.std_err": [[869, null]], "arch.univariate.base.ARCHModelResult.std_resid": [[870, null]], "arch.univariate.base.ARCHModelResult.summary": [[871, null]], "arch.univariate.base.ARCHModelResult.tvalues": [[872, null]], "arch.univariate.distribution.Distribution": [[464, null]], "arch.univariate.distribution.Distribution.bounds": [[873, null]], "arch.univariate.distribution.Distribution.cdf": [[874, null]], "arch.univariate.distribution.Distribution.constraints": [[875, null]], "arch.univariate.distribution.Distribution.generator": [[876, null]], "arch.univariate.distribution.Distribution.loglikelihood": [[877, null]], "arch.univariate.distribution.Distribution.moment": [[878, null]], "arch.univariate.distribution.Distribution.name": [[879, null]], "arch.univariate.distribution.Distribution.parameter_names": [[880, null]], "arch.univariate.distribution.Distribution.partial_moment": [[881, null]], "arch.univariate.distribution.Distribution.ppf": [[882, null]], "arch.univariate.distribution.Distribution.random_state": [[883, null]], "arch.univariate.distribution.Distribution.simulate": [[884, null]], "arch.univariate.distribution.Distribution.starting_values": [[885, null]], "arch.univariate.recursions.VolatilityUpdater": [[465, null]], "arch.univariate.recursions.VolatilityUpdater.initialize_update": [[886, null]], "arch.univariate.volatility.VarianceForecast": [[466, null]], "arch.univariate.volatility.VarianceForecast.forecast_paths": [[887, null]], "arch.univariate.volatility.VarianceForecast.forecasts": [[888, null]], "arch.univariate.volatility.VarianceForecast.shocks": [[889, null]], "arch.univariate.volatility.VolatilityProcess": [[467, null]], "arch.univariate.volatility.VolatilityProcess.backcast": [[890, null]], "arch.univariate.volatility.VolatilityProcess.backcast_transform": [[891, null]], "arch.univariate.volatility.VolatilityProcess.bounds": [[892, null]], "arch.univariate.volatility.VolatilityProcess.compute_variance": [[893, null]], "arch.univariate.volatility.VolatilityProcess.constraints": [[894, null]], "arch.univariate.volatility.VolatilityProcess.forecast": [[895, null]], "arch.univariate.volatility.VolatilityProcess.name": [[896, null]], "arch.univariate.volatility.VolatilityProcess.num_params": [[897, null]], "arch.univariate.volatility.VolatilityProcess.parameter_names": [[898, null]], "arch.univariate.volatility.VolatilityProcess.simulate": [[899, null]], "arch.univariate.volatility.VolatilityProcess.start": [[900, null]], "arch.univariate.volatility.VolatilityProcess.starting_values": [[901, null]], "arch.univariate.volatility.VolatilityProcess.stop": [[902, null]], "arch.univariate.volatility.VolatilityProcess.update": [[903, null]], "arch.univariate.volatility.VolatilityProcess.updateable": [[904, null]], "arch.univariate.volatility.VolatilityProcess.variance_bounds": [[905, null]], "arch.univariate.volatility.VolatilityProcess.volatility_updater": [[906, null]], "forecast uses origin alignment": [[911, "forecast-uses-origin-alignment"]], "x input array sizes": [[911, "x-input-array-sizes"]]}, "docurls": ["api.html", "bootstrap/background.html", "bootstrap/bootstrap.html", "bootstrap/bootstrap_examples.html", "bootstrap/confidence-intervals.html", "bootstrap/generated/arch.bootstrap.CircularBlockBootstrap.html", "bootstrap/generated/arch.bootstrap.IIDBootstrap.html", "bootstrap/generated/arch.bootstrap.IndependentSamplesBootstrap.html", "bootstrap/generated/arch.bootstrap.MovingBlockBootstrap.html", "bootstrap/generated/arch.bootstrap.StationaryBootstrap.html", "bootstrap/generated/arch.bootstrap.optimal_block_length.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.var.html", "bootstrap/iid-bootstraps.html", "bootstrap/low-level-interface.html", "bootstrap/parameter-covariance-estimation.html", "bootstrap/semiparametric-parametric-bootstrap.html", "bootstrap/timeseries-bootstraps.html", "changes.html", "changes/1.0.html", "changes/2.0.html", "changes/3.0.html", "changes/4.0.html", "changes/5.0.html", "changes/6.0.html", "changes/7.0.html", "covariance/covariance.html", "covariance/generated/arch.covariance.kernel.Andrews.html", "covariance/generated/arch.covariance.kernel.Bartlett.html", "covariance/generated/arch.covariance.kernel.CovarianceEstimate.html", "covariance/generated/arch.covariance.kernel.CovarianceEstimator.html", "covariance/generated/arch.covariance.kernel.Gallant.html", "covariance/generated/arch.covariance.kernel.NeweyWest.html", "covariance/generated/arch.covariance.kernel.Parzen.html", "covariance/generated/arch.covariance.kernel.ParzenCauchy.html", "covariance/generated/arch.covariance.kernel.ParzenGeometric.html", "covariance/generated/arch.covariance.kernel.ParzenRiesz.html", "covariance/generated/arch.covariance.kernel.QuadraticSpectral.html", "covariance/generated/arch.covariance.kernel.TukeyHamming.html", "covariance/generated/arch.covariance.kernel.TukeyHanning.html", "covariance/generated/arch.covariance.kernel.TukeyParzen.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.centered.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.cov.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.name.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.rate.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.centered.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.cov.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.name.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.rate.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.long_run.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided_strict.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.short_run.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.centered.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.cov.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.force_int.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.name.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.rate.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.centered.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.cov.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.name.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.rate.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.centered.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.cov.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.force_int.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.name.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.rate.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.centered.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.cov.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.name.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.rate.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.centered.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.cov.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.force_int.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.name.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.rate.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.centered.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.cov.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.force_int.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.name.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.rate.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.centered.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.cov.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.force_int.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.name.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.rate.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.centered.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.cov.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.force_int.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.name.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.rate.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.centered.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.cov.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.force_int.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.name.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.rate.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.centered.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.cov.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.force_int.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.name.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.rate.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.centered.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.cov.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.force_int.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.name.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.rate.html", "index.html", "multiple-comparison/background.html", "multiple-comparison/generated/arch.bootstrap.MCS.html", "multiple-comparison/generated/arch.bootstrap.SPA.html", "multiple-comparison/generated/arch.bootstrap.StepM.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.compute.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.excluded.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.included.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.pvalues.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.reset.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.seed.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.better_models.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.compute.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.critical_values.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.pvalues.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.reset.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.seed.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.subset.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.compute.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.reset.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.seed.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.superior_models.html", "multiple-comparison/multiple-comparison-reference.html", "multiple-comparison/multiple-comparison_examples.html", "multiple-comparison/multiple-comparisons.html", "types.html", "unitroot/cointegration.html", "unitroot/generated/arch.unitroot.ADF.html", "unitroot/generated/arch.unitroot.DFGLS.html", "unitroot/generated/arch.unitroot.KPSS.html", "unitroot/generated/arch.unitroot.PhillipsPerron.html", "unitroot/generated/arch.unitroot.VarianceRatio.html", "unitroot/generated/arch.unitroot.ZivotAndrews.html", "unitroot/generated/arch.unitroot.auto_bandwidth.html", "unitroot/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.html", "unitroot/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.html", "unitroot/generated/arch.unitroot.cointegration.DynamicOLS.html", "unitroot/generated/arch.unitroot.cointegration.DynamicOLSResults.html", "unitroot/generated/arch.unitroot.cointegration.EngleGrangerTestResults.html", "unitroot/generated/arch.unitroot.cointegration.FullyModifiedOLS.html", "unitroot/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.html", "unitroot/generated/arch.unitroot.cointegration.engle_granger.html", "unitroot/generated/arch.unitroot.cointegration.phillips_ouliaris.html", "unitroot/generated/generated/arch.unitroot.ADF.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ADF.critical_values.html", "unitroot/generated/generated/arch.unitroot.ADF.lags.html", "unitroot/generated/generated/arch.unitroot.ADF.max_lags.html", "unitroot/generated/generated/arch.unitroot.ADF.nobs.html", "unitroot/generated/generated/arch.unitroot.ADF.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ADF.pvalue.html", "unitroot/generated/generated/arch.unitroot.ADF.regression.html", "unitroot/generated/generated/arch.unitroot.ADF.stat.html", "unitroot/generated/generated/arch.unitroot.ADF.summary.html", "unitroot/generated/generated/arch.unitroot.ADF.trend.html", "unitroot/generated/generated/arch.unitroot.ADF.valid_trends.html", "unitroot/generated/generated/arch.unitroot.ADF.y.html", "unitroot/generated/generated/arch.unitroot.DFGLS.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.DFGLS.critical_values.html", "unitroot/generated/generated/arch.unitroot.DFGLS.lags.html", "unitroot/generated/generated/arch.unitroot.DFGLS.max_lags.html", "unitroot/generated/generated/arch.unitroot.DFGLS.nobs.html", "unitroot/generated/generated/arch.unitroot.DFGLS.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.DFGLS.pvalue.html", "unitroot/generated/generated/arch.unitroot.DFGLS.regression.html", "unitroot/generated/generated/arch.unitroot.DFGLS.stat.html", "unitroot/generated/generated/arch.unitroot.DFGLS.summary.html", "unitroot/generated/generated/arch.unitroot.DFGLS.trend.html", "unitroot/generated/generated/arch.unitroot.DFGLS.valid_trends.html", "unitroot/generated/generated/arch.unitroot.DFGLS.y.html", "unitroot/generated/generated/arch.unitroot.KPSS.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.KPSS.critical_values.html", "unitroot/generated/generated/arch.unitroot.KPSS.lags.html", "unitroot/generated/generated/arch.unitroot.KPSS.nobs.html", "unitroot/generated/generated/arch.unitroot.KPSS.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.KPSS.pvalue.html", "unitroot/generated/generated/arch.unitroot.KPSS.stat.html", "unitroot/generated/generated/arch.unitroot.KPSS.summary.html", "unitroot/generated/generated/arch.unitroot.KPSS.trend.html", "unitroot/generated/generated/arch.unitroot.KPSS.valid_trends.html", "unitroot/generated/generated/arch.unitroot.KPSS.y.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.critical_values.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.lags.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.nobs.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.pvalue.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.regression.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.stat.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.summary.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.test_type.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.trend.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.valid_trends.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.y.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.critical_values.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.debiased.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.lags.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.nobs.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.overlap.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.pvalue.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.robust.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.stat.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.summary.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.trend.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.valid_trends.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.vr.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.y.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.critical_values.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.lags.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.nobs.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.pvalue.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.stat.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.summary.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.trend.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.valid_trends.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.y.html", "unitroot/generated/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.fit.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.cov.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.kernel.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.params.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLS.fit.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.bandwidth.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov_type.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_cov.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_params.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.kernel.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.lags.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.leads.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.long_run_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.params.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.pvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.residual_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.std_errors.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.tvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.critical_values.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.lags.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.max_lags.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.name.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.plot.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.pvalue.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.rho.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.stat.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.trend.html", "unitroot/generated/generated/arch.unitroot.cointegration.FullyModifiedOLS.fit.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.name.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend.html", "unitroot/introduction.html", "unitroot/tests.html", "unitroot/unitroot.html", "unitroot/unitroot_cointegration_examples.html", "unitroot/unitroot_examples.html", "univariate/background.html", "univariate/distribution.html", "univariate/forecasting.html", "univariate/generated/arch.univariate.APARCH.html", "univariate/generated/arch.univariate.ARCH.html", "univariate/generated/arch.univariate.ARCHInMean.html", "univariate/generated/arch.univariate.ARX.html", "univariate/generated/arch.univariate.ConstantMean.html", "univariate/generated/arch.univariate.ConstantVariance.html", "univariate/generated/arch.univariate.EGARCH.html", "univariate/generated/arch.univariate.EWMAVariance.html", "univariate/generated/arch.univariate.FIGARCH.html", "univariate/generated/arch.univariate.FixedVariance.html", "univariate/generated/arch.univariate.GARCH.html", "univariate/generated/arch.univariate.GeneralizedError.html", "univariate/generated/arch.univariate.HARCH.html", "univariate/generated/arch.univariate.HARX.html", "univariate/generated/arch.univariate.LS.html", "univariate/generated/arch.univariate.MIDASHyperbolic.html", "univariate/generated/arch.univariate.Normal.html", "univariate/generated/arch.univariate.RiskMetrics2006.html", "univariate/generated/arch.univariate.SkewStudent.html", "univariate/generated/arch.univariate.StudentsT.html", "univariate/generated/arch.univariate.ZeroMean.html", "univariate/generated/arch.univariate.base.ARCHModel.html", "univariate/generated/arch.univariate.base.ARCHModelFixedResult.html", "univariate/generated/arch.univariate.base.ARCHModelForecast.html", "univariate/generated/arch.univariate.base.ARCHModelForecastSimulation.html", "univariate/generated/arch.univariate.base.ARCHModelResult.html", "univariate/generated/arch.univariate.distribution.Distribution.html", "univariate/generated/arch.univariate.recursions.VolatilityUpdater.html", "univariate/generated/arch.univariate.volatility.VarianceForecast.html", "univariate/generated/arch.univariate.volatility.VolatilityProcess.html", "univariate/generated/generated/arch.univariate.APARCH.backcast.html", "univariate/generated/generated/arch.univariate.APARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.APARCH.bounds.html", "univariate/generated/generated/arch.univariate.APARCH.common_asym.html", "univariate/generated/generated/arch.univariate.APARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.APARCH.constraints.html", "univariate/generated/generated/arch.univariate.APARCH.delta.html", "univariate/generated/generated/arch.univariate.APARCH.forecast.html", "univariate/generated/generated/arch.univariate.APARCH.name.html", "univariate/generated/generated/arch.univariate.APARCH.num_params.html", "univariate/generated/generated/arch.univariate.APARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.APARCH.simulate.html", "univariate/generated/generated/arch.univariate.APARCH.start.html", "univariate/generated/generated/arch.univariate.APARCH.starting_values.html", "univariate/generated/generated/arch.univariate.APARCH.stop.html", "univariate/generated/generated/arch.univariate.APARCH.update.html", "univariate/generated/generated/arch.univariate.APARCH.updateable.html", "univariate/generated/generated/arch.univariate.APARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.APARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.ARCH.backcast.html", "univariate/generated/generated/arch.univariate.ARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.ARCH.bounds.html", "univariate/generated/generated/arch.univariate.ARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.ARCH.constraints.html", "univariate/generated/generated/arch.univariate.ARCH.forecast.html", "univariate/generated/generated/arch.univariate.ARCH.name.html", "univariate/generated/generated/arch.univariate.ARCH.num_params.html", "univariate/generated/generated/arch.univariate.ARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.ARCH.simulate.html", "univariate/generated/generated/arch.univariate.ARCH.start.html", "univariate/generated/generated/arch.univariate.ARCH.starting_values.html", "univariate/generated/generated/arch.univariate.ARCH.stop.html", "univariate/generated/generated/arch.univariate.ARCH.update.html", "univariate/generated/generated/arch.univariate.ARCH.updateable.html", "univariate/generated/generated/arch.univariate.ARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.ARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.ARCHInMean.bounds.html", "univariate/generated/generated/arch.univariate.ARCHInMean.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ARCHInMean.constraints.html", "univariate/generated/generated/arch.univariate.ARCHInMean.distribution.html", "univariate/generated/generated/arch.univariate.ARCHInMean.fit.html", "univariate/generated/generated/arch.univariate.ARCHInMean.fix.html", "univariate/generated/generated/arch.univariate.ARCHInMean.forecast.html", "univariate/generated/generated/arch.univariate.ARCHInMean.form.html", "univariate/generated/generated/arch.univariate.ARCHInMean.name.html", "univariate/generated/generated/arch.univariate.ARCHInMean.num_params.html", "univariate/generated/generated/arch.univariate.ARCHInMean.parameter_names.html", "univariate/generated/generated/arch.univariate.ARCHInMean.resids.html", "univariate/generated/generated/arch.univariate.ARCHInMean.simulate.html", "univariate/generated/generated/arch.univariate.ARCHInMean.starting_values.html", "univariate/generated/generated/arch.univariate.ARCHInMean.volatility.html", "univariate/generated/generated/arch.univariate.ARCHInMean.x.html", "univariate/generated/generated/arch.univariate.ARCHInMean.y.html", "univariate/generated/generated/arch.univariate.ARX.bounds.html", "univariate/generated/generated/arch.univariate.ARX.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ARX.constraints.html", "univariate/generated/generated/arch.univariate.ARX.distribution.html", "univariate/generated/generated/arch.univariate.ARX.fit.html", "univariate/generated/generated/arch.univariate.ARX.fix.html", "univariate/generated/generated/arch.univariate.ARX.forecast.html", "univariate/generated/generated/arch.univariate.ARX.name.html", "univariate/generated/generated/arch.univariate.ARX.num_params.html", "univariate/generated/generated/arch.univariate.ARX.parameter_names.html", "univariate/generated/generated/arch.univariate.ARX.resids.html", "univariate/generated/generated/arch.univariate.ARX.simulate.html", "univariate/generated/generated/arch.univariate.ARX.starting_values.html", "univariate/generated/generated/arch.univariate.ARX.volatility.html", "univariate/generated/generated/arch.univariate.ARX.x.html", "univariate/generated/generated/arch.univariate.ARX.y.html", "univariate/generated/generated/arch.univariate.ConstantMean.bounds.html", "univariate/generated/generated/arch.univariate.ConstantMean.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ConstantMean.constraints.html", "univariate/generated/generated/arch.univariate.ConstantMean.distribution.html", "univariate/generated/generated/arch.univariate.ConstantMean.fit.html", "univariate/generated/generated/arch.univariate.ConstantMean.fix.html", "univariate/generated/generated/arch.univariate.ConstantMean.forecast.html", "univariate/generated/generated/arch.univariate.ConstantMean.name.html", "univariate/generated/generated/arch.univariate.ConstantMean.num_params.html", "univariate/generated/generated/arch.univariate.ConstantMean.parameter_names.html", "univariate/generated/generated/arch.univariate.ConstantMean.resids.html", "univariate/generated/generated/arch.univariate.ConstantMean.simulate.html", "univariate/generated/generated/arch.univariate.ConstantMean.starting_values.html", "univariate/generated/generated/arch.univariate.ConstantMean.volatility.html", "univariate/generated/generated/arch.univariate.ConstantMean.x.html", "univariate/generated/generated/arch.univariate.ConstantMean.y.html", "univariate/generated/generated/arch.univariate.ConstantVariance.backcast.html", "univariate/generated/generated/arch.univariate.ConstantVariance.backcast_transform.html", "univariate/generated/generated/arch.univariate.ConstantVariance.bounds.html", "univariate/generated/generated/arch.univariate.ConstantVariance.compute_variance.html", "univariate/generated/generated/arch.univariate.ConstantVariance.constraints.html", "univariate/generated/generated/arch.univariate.ConstantVariance.forecast.html", "univariate/generated/generated/arch.univariate.ConstantVariance.name.html", "univariate/generated/generated/arch.univariate.ConstantVariance.num_params.html", "univariate/generated/generated/arch.univariate.ConstantVariance.parameter_names.html", "univariate/generated/generated/arch.univariate.ConstantVariance.simulate.html", "univariate/generated/generated/arch.univariate.ConstantVariance.start.html", "univariate/generated/generated/arch.univariate.ConstantVariance.starting_values.html", "univariate/generated/generated/arch.univariate.ConstantVariance.stop.html", "univariate/generated/generated/arch.univariate.ConstantVariance.update.html", "univariate/generated/generated/arch.univariate.ConstantVariance.updateable.html", "univariate/generated/generated/arch.univariate.ConstantVariance.variance_bounds.html", "univariate/generated/generated/arch.univariate.ConstantVariance.volatility_updater.html", "univariate/generated/generated/arch.univariate.EGARCH.backcast.html", "univariate/generated/generated/arch.univariate.EGARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.EGARCH.bounds.html", "univariate/generated/generated/arch.univariate.EGARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.EGARCH.constraints.html", "univariate/generated/generated/arch.univariate.EGARCH.forecast.html", "univariate/generated/generated/arch.univariate.EGARCH.name.html", "univariate/generated/generated/arch.univariate.EGARCH.num_params.html", "univariate/generated/generated/arch.univariate.EGARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.EGARCH.simulate.html", "univariate/generated/generated/arch.univariate.EGARCH.start.html", "univariate/generated/generated/arch.univariate.EGARCH.starting_values.html", "univariate/generated/generated/arch.univariate.EGARCH.stop.html", "univariate/generated/generated/arch.univariate.EGARCH.update.html", "univariate/generated/generated/arch.univariate.EGARCH.updateable.html", "univariate/generated/generated/arch.univariate.EGARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.EGARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.EWMAVariance.backcast.html", "univariate/generated/generated/arch.univariate.EWMAVariance.backcast_transform.html", "univariate/generated/generated/arch.univariate.EWMAVariance.bounds.html", "univariate/generated/generated/arch.univariate.EWMAVariance.compute_variance.html", "univariate/generated/generated/arch.univariate.EWMAVariance.constraints.html", "univariate/generated/generated/arch.univariate.EWMAVariance.forecast.html", "univariate/generated/generated/arch.univariate.EWMAVariance.name.html", "univariate/generated/generated/arch.univariate.EWMAVariance.num_params.html", "univariate/generated/generated/arch.univariate.EWMAVariance.parameter_names.html", "univariate/generated/generated/arch.univariate.EWMAVariance.simulate.html", "univariate/generated/generated/arch.univariate.EWMAVariance.start.html", "univariate/generated/generated/arch.univariate.EWMAVariance.starting_values.html", "univariate/generated/generated/arch.univariate.EWMAVariance.stop.html", "univariate/generated/generated/arch.univariate.EWMAVariance.update.html", "univariate/generated/generated/arch.univariate.EWMAVariance.updateable.html", "univariate/generated/generated/arch.univariate.EWMAVariance.variance_bounds.html", "univariate/generated/generated/arch.univariate.EWMAVariance.volatility_updater.html", "univariate/generated/generated/arch.univariate.FIGARCH.backcast.html", "univariate/generated/generated/arch.univariate.FIGARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.FIGARCH.bounds.html", "univariate/generated/generated/arch.univariate.FIGARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.FIGARCH.constraints.html", "univariate/generated/generated/arch.univariate.FIGARCH.forecast.html", "univariate/generated/generated/arch.univariate.FIGARCH.name.html", "univariate/generated/generated/arch.univariate.FIGARCH.num_params.html", "univariate/generated/generated/arch.univariate.FIGARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.FIGARCH.simulate.html", "univariate/generated/generated/arch.univariate.FIGARCH.start.html", "univariate/generated/generated/arch.univariate.FIGARCH.starting_values.html", "univariate/generated/generated/arch.univariate.FIGARCH.stop.html", "univariate/generated/generated/arch.univariate.FIGARCH.truncation.html", "univariate/generated/generated/arch.univariate.FIGARCH.update.html", "univariate/generated/generated/arch.univariate.FIGARCH.updateable.html", "univariate/generated/generated/arch.univariate.FIGARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.FIGARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.FixedVariance.backcast.html", "univariate/generated/generated/arch.univariate.FixedVariance.backcast_transform.html", "univariate/generated/generated/arch.univariate.FixedVariance.bounds.html", "univariate/generated/generated/arch.univariate.FixedVariance.compute_variance.html", "univariate/generated/generated/arch.univariate.FixedVariance.constraints.html", "univariate/generated/generated/arch.univariate.FixedVariance.forecast.html", "univariate/generated/generated/arch.univariate.FixedVariance.name.html", "univariate/generated/generated/arch.univariate.FixedVariance.num_params.html", "univariate/generated/generated/arch.univariate.FixedVariance.parameter_names.html", "univariate/generated/generated/arch.univariate.FixedVariance.simulate.html", "univariate/generated/generated/arch.univariate.FixedVariance.start.html", "univariate/generated/generated/arch.univariate.FixedVariance.starting_values.html", "univariate/generated/generated/arch.univariate.FixedVariance.stop.html", "univariate/generated/generated/arch.univariate.FixedVariance.update.html", "univariate/generated/generated/arch.univariate.FixedVariance.updateable.html", "univariate/generated/generated/arch.univariate.FixedVariance.variance_bounds.html", "univariate/generated/generated/arch.univariate.FixedVariance.volatility_updater.html", "univariate/generated/generated/arch.univariate.GARCH.backcast.html", "univariate/generated/generated/arch.univariate.GARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.GARCH.bounds.html", "univariate/generated/generated/arch.univariate.GARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.GARCH.constraints.html", "univariate/generated/generated/arch.univariate.GARCH.forecast.html", "univariate/generated/generated/arch.univariate.GARCH.name.html", "univariate/generated/generated/arch.univariate.GARCH.num_params.html", "univariate/generated/generated/arch.univariate.GARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.GARCH.simulate.html", "univariate/generated/generated/arch.univariate.GARCH.start.html", "univariate/generated/generated/arch.univariate.GARCH.starting_values.html", "univariate/generated/generated/arch.univariate.GARCH.stop.html", "univariate/generated/generated/arch.univariate.GARCH.update.html", "univariate/generated/generated/arch.univariate.GARCH.updateable.html", "univariate/generated/generated/arch.univariate.GARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.GARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.GeneralizedError.bounds.html", "univariate/generated/generated/arch.univariate.GeneralizedError.cdf.html", "univariate/generated/generated/arch.univariate.GeneralizedError.constraints.html", "univariate/generated/generated/arch.univariate.GeneralizedError.generator.html", "univariate/generated/generated/arch.univariate.GeneralizedError.loglikelihood.html", "univariate/generated/generated/arch.univariate.GeneralizedError.moment.html", "univariate/generated/generated/arch.univariate.GeneralizedError.name.html", "univariate/generated/generated/arch.univariate.GeneralizedError.parameter_names.html", "univariate/generated/generated/arch.univariate.GeneralizedError.partial_moment.html", "univariate/generated/generated/arch.univariate.GeneralizedError.ppf.html", "univariate/generated/generated/arch.univariate.GeneralizedError.random_state.html", "univariate/generated/generated/arch.univariate.GeneralizedError.simulate.html", "univariate/generated/generated/arch.univariate.GeneralizedError.starting_values.html", "univariate/generated/generated/arch.univariate.HARCH.backcast.html", "univariate/generated/generated/arch.univariate.HARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.HARCH.bounds.html", "univariate/generated/generated/arch.univariate.HARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.HARCH.constraints.html", "univariate/generated/generated/arch.univariate.HARCH.forecast.html", "univariate/generated/generated/arch.univariate.HARCH.name.html", "univariate/generated/generated/arch.univariate.HARCH.num_params.html", "univariate/generated/generated/arch.univariate.HARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.HARCH.simulate.html", "univariate/generated/generated/arch.univariate.HARCH.start.html", "univariate/generated/generated/arch.univariate.HARCH.starting_values.html", "univariate/generated/generated/arch.univariate.HARCH.stop.html", "univariate/generated/generated/arch.univariate.HARCH.update.html", "univariate/generated/generated/arch.univariate.HARCH.updateable.html", "univariate/generated/generated/arch.univariate.HARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.HARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.HARX.bounds.html", "univariate/generated/generated/arch.univariate.HARX.compute_param_cov.html", "univariate/generated/generated/arch.univariate.HARX.constraints.html", "univariate/generated/generated/arch.univariate.HARX.distribution.html", "univariate/generated/generated/arch.univariate.HARX.fit.html", "univariate/generated/generated/arch.univariate.HARX.fix.html", "univariate/generated/generated/arch.univariate.HARX.forecast.html", "univariate/generated/generated/arch.univariate.HARX.name.html", "univariate/generated/generated/arch.univariate.HARX.num_params.html", "univariate/generated/generated/arch.univariate.HARX.parameter_names.html", "univariate/generated/generated/arch.univariate.HARX.resids.html", "univariate/generated/generated/arch.univariate.HARX.simulate.html", "univariate/generated/generated/arch.univariate.HARX.starting_values.html", "univariate/generated/generated/arch.univariate.HARX.volatility.html", "univariate/generated/generated/arch.univariate.HARX.x.html", "univariate/generated/generated/arch.univariate.HARX.y.html", "univariate/generated/generated/arch.univariate.LS.bounds.html", "univariate/generated/generated/arch.univariate.LS.compute_param_cov.html", "univariate/generated/generated/arch.univariate.LS.constraints.html", "univariate/generated/generated/arch.univariate.LS.distribution.html", "univariate/generated/generated/arch.univariate.LS.fit.html", "univariate/generated/generated/arch.univariate.LS.fix.html", "univariate/generated/generated/arch.univariate.LS.forecast.html", "univariate/generated/generated/arch.univariate.LS.name.html", "univariate/generated/generated/arch.univariate.LS.num_params.html", "univariate/generated/generated/arch.univariate.LS.parameter_names.html", "univariate/generated/generated/arch.univariate.LS.resids.html", "univariate/generated/generated/arch.univariate.LS.simulate.html", "univariate/generated/generated/arch.univariate.LS.starting_values.html", "univariate/generated/generated/arch.univariate.LS.volatility.html", "univariate/generated/generated/arch.univariate.LS.x.html", "univariate/generated/generated/arch.univariate.LS.y.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast_transform.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.bounds.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.compute_variance.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.constraints.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.forecast.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.name.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.num_params.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.parameter_names.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.simulate.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.start.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.starting_values.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.stop.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.update.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.updateable.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.variance_bounds.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.volatility_updater.html", "univariate/generated/generated/arch.univariate.Normal.bounds.html", "univariate/generated/generated/arch.univariate.Normal.cdf.html", "univariate/generated/generated/arch.univariate.Normal.constraints.html", "univariate/generated/generated/arch.univariate.Normal.generator.html", "univariate/generated/generated/arch.univariate.Normal.loglikelihood.html", "univariate/generated/generated/arch.univariate.Normal.moment.html", "univariate/generated/generated/arch.univariate.Normal.name.html", "univariate/generated/generated/arch.univariate.Normal.parameter_names.html", "univariate/generated/generated/arch.univariate.Normal.partial_moment.html", "univariate/generated/generated/arch.univariate.Normal.ppf.html", "univariate/generated/generated/arch.univariate.Normal.random_state.html", "univariate/generated/generated/arch.univariate.Normal.simulate.html", "univariate/generated/generated/arch.univariate.Normal.starting_values.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast_transform.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.bounds.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.compute_variance.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.constraints.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.forecast.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.name.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.num_params.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.parameter_names.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.simulate.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.start.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.starting_values.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.stop.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.update.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.updateable.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.variance_bounds.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.volatility_updater.html", "univariate/generated/generated/arch.univariate.SkewStudent.bounds.html", "univariate/generated/generated/arch.univariate.SkewStudent.cdf.html", "univariate/generated/generated/arch.univariate.SkewStudent.constraints.html", "univariate/generated/generated/arch.univariate.SkewStudent.generator.html", "univariate/generated/generated/arch.univariate.SkewStudent.loglikelihood.html", "univariate/generated/generated/arch.univariate.SkewStudent.moment.html", "univariate/generated/generated/arch.univariate.SkewStudent.name.html", "univariate/generated/generated/arch.univariate.SkewStudent.parameter_names.html", "univariate/generated/generated/arch.univariate.SkewStudent.partial_moment.html", "univariate/generated/generated/arch.univariate.SkewStudent.ppf.html", "univariate/generated/generated/arch.univariate.SkewStudent.random_state.html", "univariate/generated/generated/arch.univariate.SkewStudent.simulate.html", "univariate/generated/generated/arch.univariate.SkewStudent.starting_values.html", "univariate/generated/generated/arch.univariate.StudentsT.bounds.html", "univariate/generated/generated/arch.univariate.StudentsT.cdf.html", "univariate/generated/generated/arch.univariate.StudentsT.constraints.html", "univariate/generated/generated/arch.univariate.StudentsT.generator.html", "univariate/generated/generated/arch.univariate.StudentsT.loglikelihood.html", "univariate/generated/generated/arch.univariate.StudentsT.moment.html", "univariate/generated/generated/arch.univariate.StudentsT.name.html", "univariate/generated/generated/arch.univariate.StudentsT.parameter_names.html", "univariate/generated/generated/arch.univariate.StudentsT.partial_moment.html", "univariate/generated/generated/arch.univariate.StudentsT.ppf.html", "univariate/generated/generated/arch.univariate.StudentsT.random_state.html", "univariate/generated/generated/arch.univariate.StudentsT.simulate.html", "univariate/generated/generated/arch.univariate.StudentsT.starting_values.html", "univariate/generated/generated/arch.univariate.ZeroMean.bounds.html", "univariate/generated/generated/arch.univariate.ZeroMean.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ZeroMean.constraints.html", "univariate/generated/generated/arch.univariate.ZeroMean.distribution.html", "univariate/generated/generated/arch.univariate.ZeroMean.fit.html", "univariate/generated/generated/arch.univariate.ZeroMean.fix.html", "univariate/generated/generated/arch.univariate.ZeroMean.forecast.html", "univariate/generated/generated/arch.univariate.ZeroMean.name.html", "univariate/generated/generated/arch.univariate.ZeroMean.num_params.html", "univariate/generated/generated/arch.univariate.ZeroMean.parameter_names.html", "univariate/generated/generated/arch.univariate.ZeroMean.resids.html", "univariate/generated/generated/arch.univariate.ZeroMean.simulate.html", "univariate/generated/generated/arch.univariate.ZeroMean.starting_values.html", "univariate/generated/generated/arch.univariate.ZeroMean.volatility.html", "univariate/generated/generated/arch.univariate.ZeroMean.x.html", "univariate/generated/generated/arch.univariate.ZeroMean.y.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.bounds.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.compute_param_cov.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.constraints.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.distribution.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.fit.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.fix.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.forecast.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.name.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.num_params.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.parameter_names.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.resids.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.simulate.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.starting_values.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.volatility.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.y.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.aic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.arch_lm_test.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.bic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.conditional_volatility.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.forecast.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.hedgehog_plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.loglikelihood.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.model.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.nobs.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.num_params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.std_resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.summary.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.mean.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.residual_variance.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.simulations.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.variance.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.index.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residual_variances.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residuals.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.values.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.variances.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.aic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.arch_lm_test.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.bic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.conditional_volatility.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.conf_int.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.convergence_flag.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_start.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_stop.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.forecast.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.hedgehog_plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.loglikelihood.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.model.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.nobs.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.num_params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.optimization_result.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.param_cov.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.pvalues.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared_adj.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.scale.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_err.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.summary.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.tvalues.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.bounds.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.cdf.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.constraints.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.generator.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.loglikelihood.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.moment.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.name.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.parameter_names.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.partial_moment.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.ppf.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.random_state.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.simulate.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.starting_values.html", "univariate/generated/generated/arch.univariate.recursions.VolatilityUpdater.initialize_update.html", "univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecast_paths.html", "univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecasts.html", "univariate/generated/generated/arch.univariate.volatility.VarianceForecast.shocks.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast_transform.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.bounds.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.compute_variance.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.constraints.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.forecast.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.name.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.num_params.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.parameter_names.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.simulate.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.start.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.starting_values.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.stop.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.update.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.updateable.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.variance_bounds.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.volatility_updater.html", "univariate/introduction.html", "univariate/mean.html", "univariate/results.html", "univariate/univariate.html", "univariate/univariate_forecasting_with_exogenous_variables.html", "univariate/univariate_using_fixed_variance.html", "univariate/univariate_volatility_forecasting.html", "univariate/univariate_volatility_modeling.html", "univariate/univariate_volatility_scenarios.html", "univariate/utility.html", "univariate/volatility.html"], "envversion": {"nbsphinx": 4, "sphinx": 64, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "indexentries": {"arch.bootstrap": [[2, "module-arch.bootstrap", false]], "module": [[2, "module-arch.bootstrap", false]]}, "objects": {"arch": [[2, 0, 0, 1, "bootstrap", ""], [431, 0, 0, 1, "unitroot", ""]], "arch.bootstrap": [[5, 1, 1, 0, "CircularBlockBootstrap", "Bootstrap using blocks of the same length with end-to-start wrap around"], [6, 1, 1, 0, "IIDBootstrap", "Bootstrap using uniform resampling"], [7, 1, 1, 0, "IndependentSamplesBootstrap", "Bootstrap where each input is independently resampled"], [250, 1, 1, 0, "MCS", "Model Confidence Set (MCS) of Hansen, Lunde and Nason."], [8, 1, 1, 0, "MovingBlockBootstrap", "Bootstrap using blocks of the same length without wrap around"], [251, 1, 1, 0, "SPA", "Test of Superior Predictive Ability (SPA) of White and Hansen."], [9, 1, 1, 0, "StationaryBootstrap", "Politis and Romano (1994) bootstrap with expon distributed block sizes"], [252, 1, 1, 0, "StepM", "StepM multiple comparison procedure of Romano and Wolf."], [270, 0, 0, 1, "multiple_comparison", ""], [10, 6, 1, 0, "optimal_block_length", "Estimate optimal window length for time-series bootstraps"]], "arch.bootstrap.CircularBlockBootstrap": [[11, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [12, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [13, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [14, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [15, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [5, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [16, 5, 1, 0, "generator", "Set or get the instance PRNG"], [17, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [18, 5, 1, 0, "index", "The current index of the bootstrap"], [5, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [5, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [19, 5, 1, 0, "random_state", "Set or get the instance random state"], [20, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [21, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [22, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [23, 5, 1, 0, "state", "Set or get the generator's state"], [24, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [25, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.CircularBlockBootstrap.__init__": [[5, 2, 2, 0, "args", "Positional arguments to bootstrap"], [5, 2, 2, 0, "block_size", "Size of block to use"], [5, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [5, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [5, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.CircularBlockBootstrap.apply": [[11, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [11, 2, 2, 0, "func", "Function the computes parameter values."], [11, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.CircularBlockBootstrap.bootstrap": [[12, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.CircularBlockBootstrap.clone": [[13, 2, 2, 0, "args", "Positional arguments to bootstrap"], [13, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [13, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.CircularBlockBootstrap.conf_int": [[14, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [14, 2, 2, 0, "func", "Function the computes parameter values."], [14, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [14, 2, 2, 0, "reps", "Number of bootstrap replications"], [14, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [14, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [14, 2, 2, 0, "size", "Coverage of confidence interval"], [14, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [14, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [14, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.CircularBlockBootstrap.cov": [[15, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [15, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [15, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [15, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.CircularBlockBootstrap.reset": [[20, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.CircularBlockBootstrap.seed": [[21, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.CircularBlockBootstrap.set_state": [[22, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.CircularBlockBootstrap.var": [[25, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [25, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [25, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [25, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap": [[26, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [27, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [28, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [29, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [30, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [6, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [31, 5, 1, 0, "generator", "Set or get the instance PRNG"], [32, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [33, 5, 1, 0, "index", "The current index of the bootstrap"], [6, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [6, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [34, 5, 1, 0, "random_state", "Set or get the instance random state"], [35, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [36, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [37, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [38, 5, 1, 0, "state", "Set or get the generator's state"], [39, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [40, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.IIDBootstrap.__init__": [[6, 2, 2, 0, "args", "Positional arguments to bootstrap"], [6, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [6, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [6, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.IIDBootstrap.apply": [[26, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [26, 2, 2, 0, "func", "Function the computes parameter values."], [26, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap.bootstrap": [[27, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap.clone": [[28, 2, 2, 0, "args", "Positional arguments to bootstrap"], [28, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [28, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.IIDBootstrap.conf_int": [[29, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [29, 2, 2, 0, "func", "Function the computes parameter values."], [29, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [29, 2, 2, 0, "reps", "Number of bootstrap replications"], [29, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [29, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [29, 2, 2, 0, "size", "Coverage of confidence interval"], [29, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [29, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [29, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.IIDBootstrap.cov": [[30, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [30, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [30, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [30, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap.reset": [[35, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.IIDBootstrap.seed": [[36, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.IIDBootstrap.set_state": [[37, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.IIDBootstrap.var": [[40, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [40, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [40, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [40, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap": [[41, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [42, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [43, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [44, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [45, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [7, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [46, 5, 1, 0, "generator", "Set or get the instance PRNG"], [47, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [48, 5, 1, 0, "index", "Returns the current index of the bootstrap"], [7, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [7, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [49, 5, 1, 0, "random_state", "Set or get the instance random state"], [50, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [51, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [52, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [53, 5, 1, 0, "state", "Set or get the generator's state"], [54, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [55, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.IndependentSamplesBootstrap.__init__": [[7, 2, 2, 0, "args", "Positional arguments to bootstrap"], [7, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [7, 2, 2, "arch.bootstrap.IndependentSamplesBootstrap", "random_state", "Bootstrap where each input is independently resampled"], [7, 2, 2, "arch.bootstrap.IndependentSamplesBootstrap", "seed", "Bootstrap where each input is independently resampled"]], "arch.bootstrap.IndependentSamplesBootstrap.apply": [[41, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [41, 2, 2, 0, "func", "Function the computes parameter values."], [41, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap.bootstrap": [[42, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap.clone": [[43, 2, 2, 0, "args", "Positional arguments to bootstrap"], [43, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [43, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.IndependentSamplesBootstrap.conf_int": [[44, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [44, 2, 2, 0, "func", "Function the computes parameter values."], [44, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [44, 2, 2, 0, "reps", "Number of bootstrap replications"], [44, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [44, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [44, 2, 2, 0, "size", "Coverage of confidence interval"], [44, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [44, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [44, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.IndependentSamplesBootstrap.cov": [[45, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [45, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [45, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [45, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap.reset": [[50, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.IndependentSamplesBootstrap.seed": [[51, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.IndependentSamplesBootstrap.set_state": [[52, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.IndependentSamplesBootstrap.var": [[55, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [55, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [55, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [55, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MCS": [[253, 3, 1, 0, "compute", "Compute the set of models in the confidence set."], [254, 5, 1, 0, "excluded", "List of model indices that are excluded from the MCS"], [255, 5, 1, 0, "included", "List of model indices that are included in the MCS"], [256, 5, 1, 0, "pvalues", "Model p-values for inclusion in the MCS"], [257, 3, 1, 0, "reset", "Reset the bootstrap to it's initial state."], [258, 3, 1, 0, "seed", "Seed the bootstrap's random number generator"]], "arch.bootstrap.MCS.__init__": [[250, 2, 2, 0, "block_size", "Length of window to use in the bootstrap."], [250, 2, 2, 0, "bootstrap", "Bootstrap to use."], [250, 2, 2, 0, "losses", "T by k array containing losses from a set of models"], [250, 2, 2, 0, "method", "MCS test and elimination implementation method, either 'max' or 'R'. Default is 'R'."], [250, 2, 2, 0, "reps", "Number of bootstrap replications to uses."], [250, 2, 2, 0, "seed", "Seed value to use when creating the bootstrap used in the comparison. If an integer or None, the NumPy default_rng is used with the seed value."], [250, 2, 2, 0, "size", "Value in (0,1) to use as the test size when implementing the mcs."]], "arch.bootstrap.MCS.seed": [[258, 2, 2, 0, "value", "Integer to use as the seed"]], "arch.bootstrap.MovingBlockBootstrap": [[56, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [57, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [58, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [59, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [60, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [8, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [61, 5, 1, 0, "generator", "Set or get the instance PRNG"], [62, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [63, 5, 1, 0, "index", "The current index of the bootstrap"], [8, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [8, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [64, 5, 1, 0, "random_state", "Set or get the instance random state"], [65, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [66, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [67, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [68, 5, 1, 0, "state", "Set or get the generator's state"], [69, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [70, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.MovingBlockBootstrap.__init__": [[8, 2, 2, 0, "args", "Positional arguments to bootstrap"], [8, 2, 2, 0, "block_size", "Size of block to use"], [8, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [8, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [8, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.MovingBlockBootstrap.apply": [[56, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [56, 2, 2, 0, "func", "Function the computes parameter values."], [56, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MovingBlockBootstrap.bootstrap": [[57, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MovingBlockBootstrap.clone": [[58, 2, 2, 0, "args", "Positional arguments to bootstrap"], [58, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [58, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.MovingBlockBootstrap.conf_int": [[59, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [59, 2, 2, 0, "func", "Function the computes parameter values."], [59, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [59, 2, 2, 0, "reps", "Number of bootstrap replications"], [59, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [59, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [59, 2, 2, 0, "size", "Coverage of confidence interval"], [59, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [59, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [59, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.MovingBlockBootstrap.cov": [[60, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [60, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [60, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [60, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MovingBlockBootstrap.reset": [[65, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.MovingBlockBootstrap.seed": [[66, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.MovingBlockBootstrap.set_state": [[67, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.MovingBlockBootstrap.var": [[70, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [70, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [70, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [70, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.SPA": [[259, 3, 1, 0, "better_models", "Returns set of models rejected as being equal-or-worse than the benchmark"], [260, 3, 1, 0, "compute", "Compute the bootstrap pvalue."], [261, 3, 1, 0, "critical_values", "Returns data-dependent critical values"], [262, 5, 1, 0, "pvalues", "P-values corresponding to the lower, consistent and upper p-values."], [263, 3, 1, 0, "reset", "Reset the bootstrap to its initial state."], [264, 3, 1, 0, "seed", "Seed the bootstrap's random number generator"], [265, 3, 1, 0, "subset", "Sets a list of active models to run the SPA on.  Primarily for internal use."]], "arch.bootstrap.SPA.__init__": [[251, 2, 2, 0, "benchmark", "T element array of benchmark model losses"], [251, 2, 2, 0, "block_size", "Length of window to use in the bootstrap."], [251, 2, 2, 0, "bootstrap", "Bootstrap to use."], [251, 2, 2, 0, "models", "T  by k element array of alternative model losses"], [251, 2, 2, 0, "nested", "Flag indicating to use a nested bootstrap to compute variances for studentization."], [251, 2, 2, 0, "reps", "Number of bootstrap replications to uses."], [251, 2, 2, 0, "seed", "Seed value to use when creating the bootstrap used in the comparison. If an integer or None, the NumPy default_rng is used with the seed value."], [251, 2, 2, 0, "studentize", "Flag indicating to studentize loss differentials."]], "arch.bootstrap.SPA.better_models": [[259, 2, 2, 0, "pvalue", "P-value in (0,1) to use when computing superior models"], [259, 2, 2, 0, "pvalue_type", "String in 'lower', 'consistent', or 'upper' indicating which critical value to use."]], "arch.bootstrap.SPA.critical_values": [[261, 2, 2, 0, "pvalue", "P-value in (0,1) to use when computing the critical values."]], "arch.bootstrap.SPA.seed": [[264, 2, 2, 0, "value", "Integer to use as the seed"]], "arch.bootstrap.SPA.subset": [[265, 2, 2, 0, "selector", "Boolean array indicating which columns to use when computing the p-values."]], "arch.bootstrap.StationaryBootstrap": [[71, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [72, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [73, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [74, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [75, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [9, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [76, 5, 1, 0, "generator", "Set or get the instance PRNG"], [77, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [78, 5, 1, 0, "index", "The current index of the bootstrap"], [9, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [9, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [79, 5, 1, 0, "random_state", "Set or get the instance random state"], [80, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [81, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [82, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [83, 5, 1, 0, "state", "Set or get the generator's state"], [84, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [85, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.StationaryBootstrap.__init__": [[9, 2, 2, 0, "args", "Positional arguments to bootstrap"], [9, 2, 2, 0, "block_size", "Average size of block to use"], [9, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [9, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [9, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.StationaryBootstrap.apply": [[71, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [71, 2, 2, 0, "func", "Function the computes parameter values."], [71, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StationaryBootstrap.bootstrap": [[72, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StationaryBootstrap.clone": [[73, 2, 2, 0, "args", "Positional arguments to bootstrap"], [73, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [73, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.StationaryBootstrap.conf_int": [[74, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [74, 2, 2, 0, "func", "Function the computes parameter values."], [74, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [74, 2, 2, 0, "reps", "Number of bootstrap replications"], [74, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [74, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [74, 2, 2, 0, "size", "Coverage of confidence interval"], [74, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [74, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [74, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.StationaryBootstrap.cov": [[75, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [75, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [75, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [75, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StationaryBootstrap.reset": [[80, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.StationaryBootstrap.seed": [[81, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.StationaryBootstrap.set_state": [[82, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.StationaryBootstrap.var": [[85, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [85, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [85, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [85, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StepM": [[266, 3, 1, 0, "compute", "Compute the set of superior models."], [267, 3, 1, 0, "reset", "Reset the bootstrap to it's initial state."], [268, 3, 1, 0, "seed", "Seed the bootstrap's random number generator"], [269, 5, 1, 0, "superior_models", "List of the indices or column names of the superior models"]], "arch.bootstrap.StepM.__init__": [[252, 2, 2, 0, "benchmark", "T element array of benchmark model losses"], [252, 2, 2, 0, "block_size", "Length of window to use in the bootstrap."], [252, 2, 2, 0, "bootstrap", "Bootstrap to use."], [252, 2, 2, 0, "models", "T by k element array of alternative model losses"], [252, 2, 2, 0, "nested", "Flag indicating to use a nested bootstrap to compute variances for studentization."], [252, 2, 2, 0, "reps", "Number of bootstrap replications to uses."], [252, 2, 2, 0, "seed", "Seed value to use when creating the bootstrap used in the comparison. If an integer or None, the NumPy default_rng is used with the seed value."], [252, 2, 2, 0, "size", "Value in (0,1) to use as the test size when implementing the comparison."], [252, 2, 2, 0, "studentize", "Flag indicating to studentize loss differentials."]], "arch.bootstrap.StepM.seed": [[268, 2, 2, 0, "value", "Integer to use as the seed"]], "arch.bootstrap.optimal_block_length": [[10, 2, 2, 0, "x", "A one-dimensional or two-dimensional array-like."]], "arch.covariance": [[99, 0, 0, 1, "kernel", ""]], "arch.covariance.kernel": [[100, 1, 1, 0, "Andrews", "Alternative name of the QuadraticSpectral covariance estimator."], [101, 1, 1, 0, "Bartlett", "Bartlett's (Newey-West) kernel covariance estimation."], [102, 1, 1, 0, "CovarianceEstimate", "Covariance estimate using a long-run covariance estimator"], [103, 1, 1, 0, "CovarianceEstimator", "%(kernel_name)s kernel covariance estimation."], [104, 1, 1, 0, "Gallant", "Alternative name for Parzen covariance estimator."], [105, 1, 1, 0, "NeweyWest", "Alternative name for Bartlett covariance estimator."], [106, 1, 1, 0, "Parzen", "Parzen's kernel covariance estimation."], [107, 1, 1, 0, "ParzenCauchy", "Parzen's Cauchy kernel covariance estimation."], [108, 1, 1, 0, "ParzenGeometric", "Parzen's Geometric kernel covariance estimation."], [109, 1, 1, 0, "ParzenRiesz", "Parzen-Reisz kernel covariance estimation."], [110, 1, 1, 0, "QuadraticSpectral", "Quadratic-Spectral (Andrews') kernel covariance estimation."], [111, 1, 1, 0, "TukeyHamming", "Tukey-Hamming kernel covariance estimation."], [112, 1, 1, 0, "TukeyHanning", "Tukey-Hanning kernel covariance estimation."], [113, 1, 1, 0, "TukeyParzen", "Tukey-Parzen kernel covariance estimation."]], "arch.covariance.kernel.Andrews": [[114, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [115, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [116, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [117, 5, 1, 0, "cov", "The estimated covariances."], [118, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [119, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [120, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [121, 5, 1, 0, "name", "The covariance estimator's name."], [122, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [123, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Andrews.__init__": [[100, 2, 2, "arch.covariance.kernel.Andrews", "bandwidth", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "center", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "df_adjust", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "force_int", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "weights", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "x", "Alternative name of the QuadraticSpectral covariance estimator."]], "arch.covariance.kernel.Bartlett": [[124, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [125, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [126, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [127, 5, 1, 0, "cov", "The estimated covariances."], [128, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [129, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [130, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [131, 5, 1, 0, "name", "The covariance estimator's name."], [132, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [133, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Bartlett.__init__": [[101, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [101, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [101, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [101, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [101, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [101, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.CovarianceEstimate": [[134, 5, 1, 0, "long_run", "The long-run covariance estimate."], [135, 5, 1, 0, "one_sided", "The one-sided covariance estimate."], [136, 5, 1, 0, "one_sided_strict", "The one-sided strict covariance estimate."], [137, 5, 1, 0, "short_run", "The short-run covariance estimate."]], "arch.covariance.kernel.CovarianceEstimate.__init__": [[102, 2, 2, 0, "columns", "Column labels to use if covariance estimates are returned as DataFrames."], [102, 2, 2, 0, "long_run", "The long-run covariance estimate."], [102, 2, 2, 0, "one_sided", "The one-sided-strict covariance estimate."], [102, 2, 2, 0, "one_sided_strict", "The one-sided strict covariance estimate."], [102, 2, 2, 0, "short_run", "The short-run covariance estimate."]], "arch.covariance.kernel.CovarianceEstimator": [[138, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [139, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [140, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [141, 5, 1, 0, "cov", "The estimated covariances."], [142, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [143, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [144, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [145, 5, 1, 0, "name", "The covariance estimator's name."], [146, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [147, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.CovarianceEstimator.__init__": [[103, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [103, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [103, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [103, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [103, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [103, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.Gallant": [[148, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [149, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [150, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [151, 5, 1, 0, "cov", "The estimated covariances."], [152, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [153, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [154, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [155, 5, 1, 0, "name", "The covariance estimator's name."], [156, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [157, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Gallant.__init__": [[104, 2, 2, "arch.covariance.kernel.Gallant", "bandwidth", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "center", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "df_adjust", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "force_int", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "weights", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "x", "Alternative name for Parzen covariance estimator."]], "arch.covariance.kernel.NeweyWest": [[158, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [159, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [160, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [161, 5, 1, 0, "cov", "The estimated covariances."], [162, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [163, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [164, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [165, 5, 1, 0, "name", "The covariance estimator's name."], [166, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [167, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.NeweyWest.__init__": [[105, 2, 2, "arch.covariance.kernel.NeweyWest", "bandwidth", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "center", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "df_adjust", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "force_int", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "weights", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "x", "Alternative name for Bartlett covariance estimator."]], "arch.covariance.kernel.Parzen": [[168, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [169, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [170, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [171, 5, 1, 0, "cov", "The estimated covariances."], [172, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [173, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [174, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [175, 5, 1, 0, "name", "The covariance estimator's name."], [176, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [177, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Parzen.__init__": [[106, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [106, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [106, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [106, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [106, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [106, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.ParzenCauchy": [[178, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [179, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [180, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [181, 5, 1, 0, "cov", "The estimated covariances."], [182, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [183, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [184, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [185, 5, 1, 0, "name", "The covariance estimator's name."], [186, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [187, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.ParzenCauchy.__init__": [[107, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [107, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [107, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [107, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [107, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [107, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.ParzenGeometric": [[188, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [189, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [190, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [191, 5, 1, 0, "cov", "The estimated covariances."], [192, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [193, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [194, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [195, 5, 1, 0, "name", "The covariance estimator's name."], [196, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [197, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.ParzenGeometric.__init__": [[108, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [108, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [108, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [108, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [108, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [108, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.ParzenRiesz": [[198, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [199, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [200, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [201, 5, 1, 0, "cov", "The estimated covariances."], [202, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [203, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [204, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [205, 5, 1, 0, "name", "The covariance estimator's name."], [206, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [207, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.ParzenRiesz.__init__": [[109, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [109, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [109, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [109, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [109, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [109, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.QuadraticSpectral": [[208, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [209, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [210, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [211, 5, 1, 0, "cov", "The estimated covariances."], [212, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [213, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [214, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [215, 5, 1, 0, "name", "The covariance estimator's name."], [216, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [217, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.QuadraticSpectral.__init__": [[110, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [110, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [110, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [110, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [110, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [110, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.TukeyHamming": [[218, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [219, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [220, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [221, 5, 1, 0, "cov", "The estimated covariances."], [222, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [223, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [224, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [225, 5, 1, 0, "name", "The covariance estimator's name."], [226, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [227, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.TukeyHamming.__init__": [[111, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [111, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [111, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [111, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [111, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [111, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.TukeyHanning": [[228, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [229, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [230, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [231, 5, 1, 0, "cov", "The estimated covariances."], [232, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [233, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [234, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [235, 5, 1, 0, "name", "The covariance estimator's name."], [236, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [237, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.TukeyHanning.__init__": [[112, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [112, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [112, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [112, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [112, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [112, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.TukeyParzen": [[238, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [239, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [240, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [241, 5, 1, 0, "cov", "The estimated covariances."], [242, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [243, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [244, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [245, 5, 1, 0, "name", "The covariance estimator's name."], [246, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [247, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.TukeyParzen.__init__": [[113, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [113, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [113, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [113, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [113, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [113, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.typing": [[273, 4, 1, 0, "AnyArray", "alias of ndarray[Any, Any]"], [273, 4, 1, 0, "AnyPandas", "alias of Series | DataFrame"], [273, 4, 1, 0, "ArrayLike", "alias of ndarray | DataFrame | Series"], [273, 4, 1, 0, "ArrayLike1D", "alias of ndarray | Series"], [273, 4, 1, 0, "ArrayLike2D", "alias of ndarray | DataFrame"], [273, 4, 1, 0, "BoolArray", "alias of ndarray[Any, dtype[bool]]"], [273, 4, 1, 0, "BootstrapIndexT", "alias of ndarray[Any, dtype[longlong]] | tuple[ndarray[Any, dtype[longlong]], ...] | tuple[list[ndarray[Any, dtype[longlong]]], dict[str, ndarray[Any, dtype[longlong]]]]"], [273, 4, 1, 0, "DateLike", "alias of str | datetime | datetime64 | Timestamp"], [273, 4, 1, 0, "Float64Array", "alias of ndarray[Any, dtype[float64]]"], [273, 1, 1, 0, "FloatOrArray", "alias of TypeVar('FloatOrArray', float, ~numpy.ndarray)"], [273, 4, 1, 0, "ForecastingMethod", "alias of Literal['analytic', 'simulation', 'bootstrap']"], [273, 4, 1, 0, "Int32Array", "alias of ndarray[Any, dtype[int32]]"], [273, 4, 1, 0, "Int64Array", "alias of ndarray[Any, dtype[longlong]]"], [273, 4, 1, 0, "IntArray", "alias of ndarray[Any, dtype[int64]]"], [273, 4, 1, 0, "Label", "alias of Hashable | None"], [273, 4, 1, 0, "NDArray", "alias of ndarray"], [273, 1, 1, 0, "NDArrayOrFrame", "alias of TypeVar('NDArrayOrFrame', ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float64]], ~pandas.core.frame.DataFrame)"], [273, 4, 1, 0, "RNGType", "alias of Callable[[int | tuple[int, ...]], ndarray[Any, dtype[float64]]]"], [273, 4, 1, 0, "RandomStateState", "alias of tuple[str, ndarray[Any, dtype[uint32]], int, int, float]"], [273, 4, 1, 0, "Uint32Array", "alias of ndarray[Any, dtype[uint32]]"], [273, 4, 1, 0, "UnitRootTrend", "alias of Literal['n', 'c', 'ct', 'ctt']"]], "arch.unitroot": [[275, 1, 1, 0, "ADF", "Augmented Dickey-Fuller unit root test"], [276, 1, 1, 0, "DFGLS", "Elliott, Rothenberg and Stock's (ers) GLS detrended Dickey-Fuller"], [277, 1, 1, 0, "KPSS", "Kwiatkowski, Phillips, Schmidt and Shin (KPSS) stationarity test"], [278, 1, 1, 0, "PhillipsPerron", "Phillips-Perron unit root test"], [279, 1, 1, 0, "VarianceRatio", "Variance Ratio test of a random walk."], [280, 1, 1, 0, "ZivotAndrews", "Zivot-Andrews structural-break unit-root test"], [281, 6, 1, 0, "auto_bandwidth", "Automatic bandwidth selection of Andrews (1991) and Newey & West (1994)."], [274, 0, 0, 1, "cointegration", ""]], "arch.unitroot.ADF": [[291, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [292, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [293, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [294, 5, 1, 0, "max_lags", "Sets or gets the maximum lags used when automatically selecting lag length"], [295, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [296, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [297, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [298, 5, 1, 0, "regression", "Returns the OLS regression results from the ADF model estimated"], [299, 5, 1, 0, "stat", "The test statistic for a unit root"], [300, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [301, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [302, 5, 1, 0, "valid_trends", "List of valid trend terms."], [303, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.ADF.__init__": [[275, 2, 2, 0, "lags", "The number of lags to use in the ADF regression."], [275, 2, 2, 0, "low_memory", "Flag indicating whether to use a low memory implementation of the lag selection algorithm."], [275, 2, 2, 0, "max_lags", "The maximum number of lags to use when selecting lag length"], [275, 2, 2, 0, "method", "The method to use when selecting the lag length"], [275, 2, 2, 0, "trend", "The trend component to include in the test"], [275, 2, 2, 0, "y", "The data to test for a unit root"]], "arch.unitroot.DFGLS": [[304, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [305, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [306, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [307, 5, 1, 0, "max_lags", "Sets or gets the maximum lags used when automatically selecting lag length"], [308, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [309, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [310, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [311, 5, 1, 0, "regression", "Returns the OLS regression results from the ADF model estimated"], [312, 5, 1, 0, "stat", "The test statistic for a unit root"], [313, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [314, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [315, 5, 1, 0, "valid_trends", "List of valid trend terms."], [316, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.DFGLS.__init__": [[276, 2, 2, 0, "lags", "The number of lags to use in the ADF regression."], [276, 2, 2, "arch.unitroot.DFGLS", "low_memory", "Elliott, Rothenberg and Stock's (ers) GLS detrended Dickey-Fuller"], [276, 2, 2, 0, "max_lags", "The maximum number of lags to use when selecting lag length."], [276, 2, 2, 0, "method", "The method to use when selecting the lag length"], [276, 2, 2, 0, "trend", "The trend component to include in the test"], [276, 2, 2, 0, "y", "The data to test for a unit root"]], "arch.unitroot.KPSS": [[317, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [318, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [319, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [320, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [321, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [322, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [323, 5, 1, 0, "stat", "The test statistic for a unit root"], [324, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [325, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [326, 5, 1, 0, "valid_trends", "List of valid trend terms."], [327, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.KPSS.__init__": [[277, 2, 2, 0, "lags", "The number of lags to use in the Newey-West estimator of the long-run covariance."], [277, 2, 2, 0, "trend", "\"c\" - Include a constant (Default) \"ct\" - Include a constant and linear time trend"], [277, 2, 2, 0, "y", "The data to test for stationarity"]], "arch.unitroot.PhillipsPerron": [[328, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [329, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [330, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [331, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [332, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [333, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [334, 5, 1, 0, "regression", "Returns OLS regression results for the specification used in the test"], [335, 5, 1, 0, "stat", "The test statistic for a unit root"], [336, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [337, 5, 1, 0, "test_type", "Gets or sets the test type returned by stat. Valid values are \"tau\" or \"rho\""], [338, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [339, 5, 1, 0, "valid_trends", "List of valid trend terms."], [340, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.PhillipsPerron.__init__": [[278, 2, 2, 0, "lags", "The number of lags to use in the Newey-West estimator of the long-run covariance."], [278, 2, 2, 0, "test_type", "The test to use when computing the test statistic."], [278, 2, 2, 0, "trend", "The trend component to include in the test"], [278, 2, 2, 0, "y", "The data to test for a unit root"]], "arch.unitroot.VarianceRatio": [[341, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [342, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [343, 5, 1, 0, "debiased", "Sets of gets the indicator to use debiased variances in the ratio"], [344, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [345, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [346, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [347, 5, 1, 0, "overlap", "Sets of gets the indicator to use overlapping returns in the long-period variance estimator"], [348, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [349, 5, 1, 0, "robust", "Sets of gets the indicator to use a heteroskedasticity robust variance estimator"], [350, 5, 1, 0, "stat", "The test statistic for a unit root"], [351, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [352, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [353, 5, 1, 0, "valid_trends", "List of valid trend terms."], [354, 5, 1, 0, "vr", "The ratio of the long block lags-period variance to the 1-period variance"], [355, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.VarianceRatio.__init__": [[279, 2, 2, 0, "debiased", "Indicates whether to use a debiased version of the test."], [279, 2, 2, 0, "lags", "The number of periods to used in the multi-period variance, which is the numerator of the test statistic."], [279, 2, 2, 0, "overlap", "Indicates whether to use all overlapping blocks."], [279, 2, 2, 0, "robust", "Indicates whether to use heteroskedasticity robust inference."], [279, 2, 2, 0, "trend", "\"c\" allows for a non-zero drift in the random walk, while \"n\" requires that the increments to y are mean 0"], [279, 2, 2, 0, "y", "The data to test for a random walk"]], "arch.unitroot.ZivotAndrews": [[356, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [357, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [358, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [359, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [360, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [361, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [362, 5, 1, 0, "stat", "The test statistic for a unit root"], [363, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [364, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [365, 5, 1, 0, "valid_trends", "List of valid trend terms."], [366, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.ZivotAndrews.__init__": [[280, 2, 2, 0, "lags", "The number of lags to use in the ADF regression."], [280, 2, 2, 0, "max_lags", "The maximum number of lags to use when selecting lag length"], [280, 2, 2, 0, "method", "The method to use when selecting the lag length"], [280, 2, 2, 0, "trend", "The trend component to include in the test"], [280, 2, 2, 0, "trim", "percentage of series at begin/end to exclude from break-period calculation in range [0, 0.333] (default=0.15)"], [280, 2, 2, 0, "y", "data series"]], "arch.unitroot.auto_bandwidth": [[281, 2, 2, 0, "kernel", "The kernel function to use for selecting the bandwidth"], [281, 2, 2, 0, "y", "Data on which to apply the bandwidth selection"]], "arch.unitroot.cointegration": [[282, 1, 1, 0, "CanonicalCointegratingReg", "Canonical Cointegrating Regression cointegrating vector estimation."], [283, 1, 1, 0, "CointegrationAnalysisResults", "summary()"], [284, 1, 1, 0, "DynamicOLS", "Dynamic OLS (DOLS) cointegrating vector estimation"], [285, 1, 1, 0, "DynamicOLSResults", "Estimation results for Dynamic OLS models"], [286, 1, 1, 0, "EngleGrangerTestResults", "Results class for Engle-Granger cointegration tests."], [287, 1, 1, 0, "FullyModifiedOLS", "Fully Modified OLS cointegrating vector estimation."], [288, 1, 1, 0, "PhillipsOuliarisTestResults", "plot([axes, title])"], [289, 6, 1, 0, "engle_granger", "Test for cointegration within a set of time series."], [290, 6, 1, 0, "phillips_ouliaris", "Test for cointegration within a set of time series."]], "arch.unitroot.cointegration.CanonicalCointegratingReg": [[367, 3, 1, 0, "fit", "Estimate the cointegrating vector."]], "arch.unitroot.cointegration.CanonicalCointegratingReg.__init__": [[282, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [282, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [282, 2, 2, 0, "x_trend", "Trends that affects affect the x-data but do not appear in the cointegrating regression."], [282, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.CanonicalCointegratingReg.fit": [[367, 2, 2, 0, "bandwidth", "The bandwidth to use."], [367, 2, 2, 0, "df_adjust", "Whether the adjust the parameter covariance to account for the number of parameters estimated in the regression."], [367, 2, 2, 0, "diff", "Use differenced data to estimate the residuals."], [367, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [367, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."]], "arch.unitroot.cointegration.CointegrationAnalysisResults": [[368, 5, 1, 0, "bandwidth", "The bandwidth used in the parameter covariance estimation"], [369, 5, 1, 0, "cov", "The estimated parameter covariance of the cointegrating vector"], [370, 5, 1, 0, "kernel", "The kernel used to estimate the covariance"], [371, 5, 1, 0, "long_run_variance", "Long-run variance estimate used in the parameter covariance estimator"], [372, 5, 1, 0, "params", "The estimated parameters of the cointegrating vector"], [373, 5, 1, 0, "pvalues", "P-value of the parameters in the cointegrating vector"], [374, 5, 1, 0, "resid", "The model residuals"], [375, 5, 1, 0, "residual_variance", "The variance of the regression residual."], [376, 5, 1, 0, "rsquared", "The model R\u00b2"], [377, 5, 1, 0, "rsquared_adj", "The degree-of-freedom adjusted R\u00b2"], [378, 5, 1, 0, "std_errors", "Standard errors  of the parameters in the cointegrating vector"], [379, 3, 1, 0, "summary", "Summary of the model, containing estimated parameters and std. errors"], [380, 5, 1, 0, "tvalues", "T-statistics of the parameters in the cointegrating vector"]], "arch.unitroot.cointegration.CointegrationAnalysisResults.__init__": [[283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "cov", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "df_adjust", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "estimator_type", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "kernel_est", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "num_x", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "omega_112", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "params", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "resid", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "rsquared", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "rsquared_adj", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "trend", "summary()"]], "arch.unitroot.cointegration.DynamicOLS": [[381, 3, 1, 0, "fit", "Estimate the Dynamic OLS regression"]], "arch.unitroot.cointegration.DynamicOLS.__init__": [[284, 2, 2, 0, "common", "Flag indicating that lags and leads should be restricted to the same value."], [284, 2, 2, 0, "lags", "The number of lags to include in the model."], [284, 2, 2, 0, "leads", "The number of leads to include in the model."], [284, 2, 2, 0, "max_lag", "The maximum lag to consider."], [284, 2, 2, 0, "max_lead", "The maximum lead to consider."], [284, 2, 2, 0, "method", "The method used to select lag length when lags or leads is None."], [284, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [284, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [284, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.DynamicOLS.fit": [[381, 2, 2, 0, "bandwidth", "The bandwidth to use."], [381, 2, 2, 0, "cov_type", "Either \"unadjusted\" (or is equivalent \"homoskedastic\") or \"robust\" (or its equivalent \"kernel\")."], [381, 2, 2, 0, "df_adjust", "Whether the adjust the parameter covariance to account for the number of parameters estimated in the regression."], [381, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [381, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."]], "arch.unitroot.cointegration.DynamicOLSResults": [[382, 5, 1, 0, "bandwidth", "The bandwidth used in the parameter covariance estimation"], [383, 5, 1, 0, "cov", "The estimated parameter covariance of the cointegrating vector"], [384, 5, 1, 0, "cov_type", "The type of parameter covariance estimator used"], [385, 5, 1, 0, "full_cov", "Parameter covariance of the all model parameters, incl. leads and lags"], [386, 5, 1, 0, "full_params", "The complete set of parameters, including leads and lags"], [387, 5, 1, 0, "kernel", "The kernel used to estimate the covariance"], [388, 5, 1, 0, "lags", "The number of lags included in the model"], [389, 5, 1, 0, "leads", "The number of leads included in the model"], [390, 5, 1, 0, "long_run_variance", "The long-run variance of the regression residual."], [391, 5, 1, 0, "params", "The estimated parameters of the cointegrating vector"], [392, 5, 1, 0, "pvalues", "P-value of the parameters in the cointegrating vector"], [393, 5, 1, 0, "resid", "The model residuals"], [394, 5, 1, 0, "residual_variance", "The variance of the regression residual."], [395, 5, 1, 0, "rsquared", "The model R\u00b2"], [396, 5, 1, 0, "rsquared_adj", "The degree-of-freedom adjusted R\u00b2"], [397, 5, 1, 0, "std_errors", "Standard errors  of the parameters in the cointegrating vector"], [398, 3, 1, 0, "summary", "Summary of the model, containing estimated parameters and std. errors"], [399, 5, 1, 0, "tvalues", "T-statistics of the parameters in the cointegrating vector"]], "arch.unitroot.cointegration.DynamicOLSResults.__init__": [[285, 2, 2, 0, "cov", "The estimated parameter covariance."], [285, 2, 2, 0, "cov_type", "The type of the parameter covariance estimator used."], [285, 2, 2, 0, "df_adjust", "Whether to degree of freedom adjust the estimator."], [285, 2, 2, 0, "kernel_est", "The covariance estimator instance used to estimate the parameter covariance."], [285, 2, 2, 0, "lags", "The number of lags included in the model."], [285, 2, 2, 0, "leads", "The number of leads included in the model."], [285, 2, 2, "arch.unitroot.cointegration.DynamicOLSResults", "num_x", "Estimation results for Dynamic OLS models"], [285, 2, 2, 0, "params", "The estimated model parameters."], [285, 2, 2, 0, "reg_results", "Regression results from fitting statsmodels OLS."], [285, 2, 2, 0, "resid", "The model residuals."], [285, 2, 2, "arch.unitroot.cointegration.DynamicOLSResults", "trend", "Estimation results for Dynamic OLS models"]], "arch.unitroot.cointegration.DynamicOLSResults.summary": [[398, 2, 2, 0, "full", "Flag indicating whether to include all estimated parameters (True) or only the parameters of the cointegrating vector"]], "arch.unitroot.cointegration.EngleGrangerTestResults": [[400, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [401, 5, 1, 0, "cointegrating_vector", "The estimated cointegrating vector."], [402, 5, 1, 0, "critical_values", "Critical Values"], [403, 5, 1, 0, "distribution_order", "The number of stochastic trends under the null hypothesis."], [404, 5, 1, 0, "lags", "The number of lags used in the Augmented Dickey-Fuller regression."], [405, 5, 1, 0, "max_lags", "The maximum number of lags used in the lag-length selection."], [406, 5, 1, 0, "name", "Sets or gets the name of the cointegration test"], [407, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [408, 3, 1, 0, "plot", "Plot the cointegration residuals."], [409, 5, 1, 0, "pvalue", "The p-value of the test statistic."], [410, 5, 1, 0, "resid", "The residual from the cointegrating regression."], [411, 5, 1, 0, "rho", "The estimated coefficient in the Dickey-Fuller Test"], [412, 5, 1, 0, "stat", "The test statistic."], [413, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [414, 5, 1, 0, "trend", "The trend used in the cointegrating regression"]], "arch.unitroot.cointegration.EngleGrangerTestResults.__init__": [[286, 2, 2, 0, "adf", "The ADF instance used to perform the test and lag selection."], [286, 2, 2, 0, "alternative", "The alternative hypothesis."], [286, 2, 2, 0, "crit_vals", "The critical values of the Engle-Granger specific to the sample size and model dimension."], [286, 2, 2, 0, "null", "The null hypothesis."], [286, 2, 2, 0, "order", "The number of stochastic trends in the null distribution."], [286, 2, 2, 0, "pvalue", "The pvalue of the Engle-Granger test statistic."], [286, 2, 2, 0, "stat", "The Engle-Granger test statistic."], [286, 2, 2, 0, "trend", "The model's trend description."], [286, 2, 2, 0, "xsection", "The OLS results used in the cross-sectional regression."]], "arch.unitroot.cointegration.EngleGrangerTestResults.plot": [[408, 2, 2, 0, "axes", "matplotlib axes instance to hold the figure."], [408, 2, 2, 0, "title", "Title for the figure."]], "arch.unitroot.cointegration.FullyModifiedOLS": [[415, 3, 1, 0, "fit", "Estimate the cointegrating vector."]], "arch.unitroot.cointegration.FullyModifiedOLS.__init__": [[287, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [287, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [287, 2, 2, 0, "x_trend", "Trends that affects affect the x-data but do not appear in the cointegrating regression."], [287, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.FullyModifiedOLS.fit": [[415, 2, 2, 0, "bandwidth", "The bandwidth to use."], [415, 2, 2, 0, "df_adjust", "Whether the adjust the parameter covariance to account for the number of parameters estimated in the regression."], [415, 2, 2, 0, "diff", "Use differenced data to estimate the residuals."], [415, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [415, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults": [[416, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [417, 5, 1, 0, "bandwidth", "Bandwidth used by the long-run covariance estimator"], [418, 5, 1, 0, "cointegrating_vector", "The estimated cointegrating vector."], [419, 5, 1, 0, "critical_values", "Critical Values"], [420, 5, 1, 0, "distribution_order", "The number of stochastic trends under the null hypothesis."], [421, 5, 1, 0, "kernel", "Name of the long-run covariance estimator"], [422, 5, 1, 0, "name", "Sets or gets the name of the cointegration test"], [423, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [424, 3, 1, 0, "plot", "Plot the cointegration residuals."], [425, 5, 1, 0, "pvalue", "The p-value of the test statistic."], [426, 5, 1, 0, "resid", "The residual from the cointegrating regression."], [427, 5, 1, 0, "stat", "The test statistic."], [428, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [429, 5, 1, 0, "trend", "The trend used in the cointegrating regression"]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.__init__": [[288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "alternative", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "crit_vals", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "kernel_est", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "null", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "order", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "pvalue", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "rho", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "stat", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "test_type", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "trend", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "xsection", "plot([axes, title])"]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot": [[424, 2, 2, 0, "axes", "matplotlib axes instance to hold the figure."], [424, 2, 2, 0, "title", "Title for the figure."]], "arch.unitroot.cointegration.engle_granger": [[289, 2, 2, 0, "lags", "The number of lagged differences to include in the Augmented Dickey-Fuller test used on the residuals of the"], [289, 2, 2, 0, "max_lags", "The maximum number of lags to consider when using automatic lag-length in the Augmented Dickey-Fuller regression."], [289, 2, 2, 0, "method", "The method used to select the number of lags included in the Augmented Dickey-Fuller regression."], [289, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [289, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [289, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.phillips_ouliaris": [[290, 2, 2, 0, "bandwidth", "The bandwidth to use."], [290, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [290, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."], [290, 2, 2, 0, "test_type", "The test statistic to compute."], [290, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [290, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [290, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.univariate": [[438, 1, 1, 0, "APARCH", "Asymmetric Power ARCH (APARCH) volatility process"], [439, 1, 1, 0, "ARCH", "ARCH process"], [440, 1, 1, 0, "ARCHInMean", "(G)ARCH-in-mean model and simulation"], [441, 1, 1, 0, "ARX", "Autoregressive model with optional exogenous regressors estimation and simulation"], [442, 1, 1, 0, "ConstantMean", "Constant mean model estimation and simulation."], [443, 1, 1, 0, "ConstantVariance", "Constant volatility process"], [444, 1, 1, 0, "EGARCH", "EGARCH model estimation"], [445, 1, 1, 0, "EWMAVariance", "Exponentially Weighted Moving-Average (RiskMetrics) Variance process"], [446, 1, 1, 0, "FIGARCH", "FIGARCH model"], [447, 1, 1, 0, "FixedVariance", "Fixed volatility process"], [448, 1, 1, 0, "GARCH", "GARCH and related model estimation"], [449, 1, 1, 0, "GeneralizedError", "Generalized Error distribution for use with ARCH models"], [450, 1, 1, 0, "HARCH", "Heterogeneous ARCH process"], [451, 1, 1, 0, "HARX", "Heterogeneous Autoregression (HAR), with optional exogenous regressors, model estimation and simulation"], [452, 1, 1, 0, "LS", "Least squares model estimation and simulation"], [453, 1, 1, 0, "MIDASHyperbolic", "MIDAS Hyperbolic ARCH process"], [454, 1, 1, 0, "Normal", "Standard normal distribution for use with ARCH models"], [455, 1, 1, 0, "RiskMetrics2006", "RiskMetrics 2006 Variance process"], [456, 1, 1, 0, "SkewStudent", "Standardized Skewed Student's distribution for use with ARCH models"], [457, 1, 1, 0, "StudentsT", "Standardized Student's distribution for use with ARCH models"], [458, 1, 1, 0, "ZeroMean", "Model with zero conditional mean estimation and simulation"], [907, 6, 1, 0, "arch_model", "Initialization of common ARCH model specifications"]], "arch.univariate.APARCH": [[468, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [469, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [470, 3, 1, 0, "bounds", "Returns bounds for parameters"], [471, 5, 1, 0, "common_asym", "The value of delta in the model. NaN is delta is estimated."], [472, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [473, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [474, 5, 1, 0, "delta", "The value of delta in the model. NaN is delta is estimated."], [475, 3, 1, 0, "forecast", "Forecast volatility from the model"], [476, 5, 1, 0, "name", "The name of the volatility process"], [477, 5, 1, 0, "num_params", "The number of parameters in the model"], [478, 3, 1, 0, "parameter_names", "Names of model parameters"], [479, 3, 1, 0, "simulate", "Simulate data from the model"], [480, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [481, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [482, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [483, 3, 1, 0, "update", "Compute the variance for a single observation"], [484, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [485, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [486, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.APARCH.__init__": [[438, 2, 2, 0, "common_asym", "Restrict all asymmetry terms to share the same asymmetry parameter."], [438, 2, 2, 0, "delta", "Value to use for a fixed delta in the APARCH model."], [438, 2, 2, 0, "o", "Order of the asymmetric innovation."], [438, 2, 2, 0, "p", "Order of the symmetric innovation."], [438, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"]], "arch.univariate.APARCH.backcast": [[468, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.APARCH.backcast_transform": [[469, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.APARCH.bounds": [[470, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.APARCH.compute_variance": [[472, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [472, 2, 2, 0, "parameters", "Model parameters"], [472, 2, 2, 0, "resids", "Vector of mean zero residuals"], [472, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [472, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.APARCH.forecast": [[475, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [475, 2, 2, 0, "horizon", "Forecast horizon."], [475, 2, 2, 0, "method", "Method to use when producing the forecast."], [475, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [475, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [475, 2, 2, 0, "resids", "Residuals to use in the recursion"], [475, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [475, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [475, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [475, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.APARCH.simulate": [[479, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [479, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [479, 2, 2, 0, "nobs", "Number of data points to simulate"], [479, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [479, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.APARCH.starting_values": [[481, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.APARCH.update": [[483, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [483, 2, 2, 0, "index", "The numerical index of the variance to compute"], [483, 2, 2, 0, "parameters", "The variance model parameters"], [483, 2, 2, 0, "resids", "The residual array."], [483, 2, 2, 0, "sigma2", "The array containing the variances."], [483, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.APARCH.variance_bounds": [[485, 2, 2, 0, "power", "Power used in the model."], [485, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.ARCH": [[487, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [488, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [489, 3, 1, 0, "bounds", "Returns bounds for parameters"], [490, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [491, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [492, 3, 1, 0, "forecast", "Forecast volatility from the model"], [493, 5, 1, 0, "name", "The name of the volatility process"], [494, 5, 1, 0, "num_params", "The number of parameters in the model"], [495, 3, 1, 0, "parameter_names", "Names of model parameters"], [496, 3, 1, 0, "simulate", "Simulate data from the model"], [497, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [498, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [499, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [500, 3, 1, 0, "update", "Compute the variance for a single observation"], [501, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [502, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [503, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.ARCH.__init__": [[439, 2, 2, 0, "p", "Order of the symmetric innovation"]], "arch.univariate.ARCH.backcast": [[487, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ARCH.backcast_transform": [[488, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.ARCH.bounds": [[489, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ARCH.compute_variance": [[490, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [490, 2, 2, 0, "parameters", "Model parameters"], [490, 2, 2, 0, "resids", "Vector of mean zero residuals"], [490, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [490, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ARCH.forecast": [[492, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [492, 2, 2, 0, "horizon", "Forecast horizon."], [492, 2, 2, 0, "method", "Method to use when producing the forecast."], [492, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [492, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [492, 2, 2, 0, "resids", "Residuals to use in the recursion"], [492, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [492, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [492, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [492, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ARCH.simulate": [[496, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [496, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [496, 2, 2, 0, "nobs", "Number of data points to simulate"], [496, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [496, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.ARCH.starting_values": [[498, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.ARCH.update": [[500, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [500, 2, 2, 0, "index", "The numerical index of the variance to compute"], [500, 2, 2, 0, "parameters", "The variance model parameters"], [500, 2, 2, 0, "resids", "The residual array."], [500, 2, 2, 0, "sigma2", "The array containing the variances."], [500, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ARCH.variance_bounds": [[502, 2, 2, 0, "power", "Power used in the model."], [502, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.ARCHInMean": [[504, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [505, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [506, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [507, 5, 1, 0, "distribution", "Set or gets the error distribution"], [508, 3, 1, 0, "fit", "Estimate model parameters"], [509, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [510, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [511, 5, 1, 0, "form", "The form of the conditional variance in the mean"], [512, 5, 1, 0, "name", "The name of the model."], [513, 5, 1, 0, "num_params", "Returns the number of parameters"], [514, 3, 1, 0, "parameter_names", "List of parameters names"], [515, 3, 1, 0, "resids", "Compute model residuals"], [516, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [517, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [518, 5, 1, 0, "volatility", "Set or gets the volatility process"], [519, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [520, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ARCHInMean.__init__": [[440, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [440, 2, 2, 0, "distribution", "Error distribution to use in the model"], [440, 2, 2, 0, "form", "The form of the conditional variance that appears in the mean equation."], [440, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [440, 2, 2, 0, "lags", "Description of lag structure of the HAR."], [440, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [440, 2, 2, 0, "volatility", "Volatility process to use in the model."], [440, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [440, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ARCHInMean.compute_param_cov": [[505, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [505, 2, 2, 0, "params", "Model parameters"], [505, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ARCHInMean.fit": [[508, 2, 2, 0, "backcast", "Value to use as backcast."], [508, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [508, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [508, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [508, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [508, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [508, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [508, 2, 2, 0, "starting_values", "Array of starting values to use."], [508, 2, 2, 0, "tol", "Tolerance for termination."], [508, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ARCHInMean.fix": [[509, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [509, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [509, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ARCHInMean.forecast": [[510, 2, 2, 0, "align", "Either 'origin' or 'target'."], [510, 2, 2, 0, "horizon", "Number of steps to forecast"], [510, 2, 2, 0, "method", "Method to use when producing the forecast."], [510, 2, 2, 0, "params", "Parameters required to forecast."], [510, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [510, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [510, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [510, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [510, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [510, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ARCHInMean.resids": [[515, 2, 2, 0, "params", "Model parameters"], [515, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [515, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ARCHInMean.simulate": [[516, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [516, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [516, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [516, 2, 2, 0, "nobs", "Length of series to simulate"], [516, 2, 2, 0, "params", "Parameters to use when simulating the model."], [516, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.ARX": [[521, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [522, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [523, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [524, 5, 1, 0, "distribution", "Set or gets the error distribution"], [525, 3, 1, 0, "fit", "Estimate model parameters"], [526, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [527, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [528, 5, 1, 0, "name", "The name of the model."], [529, 5, 1, 0, "num_params", "Returns the number of parameters"], [530, 3, 1, 0, "parameter_names", "List of parameters names"], [531, 3, 1, 0, "resids", "Compute model residuals"], [532, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [533, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [534, 5, 1, 0, "volatility", "Set or gets the volatility process"], [535, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [536, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ARX.__init__": [[441, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [441, 2, 2, 0, "distribution", "Error distribution to use in the model"], [441, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [441, 2, 2, 0, "lags", "Description of lag structure of the HAR."], [441, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [441, 2, 2, 0, "volatility", "Volatility process to use in the model"], [441, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [441, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ARX.compute_param_cov": [[522, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [522, 2, 2, 0, "params", "Model parameters"], [522, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ARX.fit": [[525, 2, 2, 0, "backcast", "Value to use as backcast."], [525, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [525, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [525, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [525, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [525, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [525, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [525, 2, 2, 0, "starting_values", "Array of starting values to use."], [525, 2, 2, 0, "tol", "Tolerance for termination."], [525, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ARX.fix": [[526, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [526, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [526, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ARX.forecast": [[527, 2, 2, 0, "align", "Either 'origin' or 'target'."], [527, 2, 2, 0, "horizon", "Number of steps to forecast"], [527, 2, 2, 0, "method", "Method to use when producing the forecast."], [527, 2, 2, 0, "params", "Parameters required to forecast."], [527, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [527, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [527, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [527, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [527, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [527, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ARX.resids": [[531, 2, 2, 0, "params", "Model parameters"], [531, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [531, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ARX.simulate": [[532, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [532, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [532, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [532, 2, 2, 0, "nobs", "Length of series to simulate"], [532, 2, 2, 0, "params", "Parameters to use when simulating the model."], [532, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.ConstantMean": [[537, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [538, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [539, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [540, 5, 1, 0, "distribution", "Set or gets the error distribution"], [541, 3, 1, 0, "fit", "Estimate model parameters"], [542, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [543, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [544, 5, 1, 0, "name", "The name of the model."], [545, 5, 1, 0, "num_params", "Returns the number of parameters"], [546, 3, 1, 0, "parameter_names", "List of parameters names"], [547, 3, 1, 0, "resids", "Compute model residuals"], [548, 3, 1, 0, "simulate", "Simulated data from a constant mean model"], [549, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [550, 5, 1, 0, "volatility", "Set or gets the volatility process"], [551, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [552, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ConstantMean.__init__": [[442, 2, 2, 0, "distribution", "Error distribution to use in the model"], [442, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [442, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [442, 2, 2, 0, "volatility", "Volatility process to use in the model"], [442, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ConstantMean.compute_param_cov": [[538, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [538, 2, 2, 0, "params", "Model parameters"], [538, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ConstantMean.fit": [[541, 2, 2, 0, "backcast", "Value to use as backcast."], [541, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [541, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [541, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [541, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [541, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [541, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [541, 2, 2, 0, "starting_values", "Array of starting values to use."], [541, 2, 2, 0, "tol", "Tolerance for termination."], [541, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ConstantMean.fix": [[542, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [542, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [542, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ConstantMean.forecast": [[543, 2, 2, 0, "align", "Either 'origin' or 'target'."], [543, 2, 2, 0, "horizon", "Number of steps to forecast"], [543, 2, 2, 0, "method", "Method to use when producing the forecast."], [543, 2, 2, 0, "params", "Parameters required to forecast."], [543, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [543, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [543, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [543, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [543, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [543, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ConstantMean.resids": [[547, 2, 2, 0, "params", "Model parameters"], [547, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [547, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ConstantMean.simulate": [[548, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [548, 2, 2, 0, "initial_value", "This value is not used."], [548, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [548, 2, 2, 0, "nobs", "Length of series to simulate"], [548, 2, 2, 0, "params", "Parameters to use when simulating the model."], [548, 2, 2, 0, "x", "This value is not used."]], "arch.univariate.ConstantVariance": [[553, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [554, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [555, 3, 1, 0, "bounds", "Returns bounds for parameters"], [556, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [557, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [558, 3, 1, 0, "forecast", "Forecast volatility from the model"], [559, 5, 1, 0, "name", "The name of the volatility process"], [560, 5, 1, 0, "num_params", "The number of parameters in the model"], [561, 3, 1, 0, "parameter_names", "Names of model parameters"], [562, 3, 1, 0, "simulate", "Simulate data from the model"], [563, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [564, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [565, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [566, 3, 1, 0, "update", "Compute the variance for a single observation"], [567, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [568, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [569, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.ConstantVariance.backcast": [[553, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ConstantVariance.backcast_transform": [[554, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.ConstantVariance.bounds": [[555, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ConstantVariance.compute_variance": [[556, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [556, 2, 2, 0, "parameters", "Model parameters"], [556, 2, 2, 0, "resids", "Vector of mean zero residuals"], [556, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [556, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ConstantVariance.forecast": [[558, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [558, 2, 2, 0, "horizon", "Forecast horizon."], [558, 2, 2, 0, "method", "Method to use when producing the forecast."], [558, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [558, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [558, 2, 2, 0, "resids", "Residuals to use in the recursion"], [558, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [558, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [558, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [558, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ConstantVariance.simulate": [[562, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [562, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [562, 2, 2, 0, "nobs", "Number of data points to simulate"], [562, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [562, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.ConstantVariance.starting_values": [[564, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.ConstantVariance.update": [[566, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [566, 2, 2, 0, "index", "The numerical index of the variance to compute"], [566, 2, 2, 0, "parameters", "The variance model parameters"], [566, 2, 2, 0, "resids", "The residual array."], [566, 2, 2, 0, "sigma2", "The array containing the variances."], [566, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ConstantVariance.variance_bounds": [[568, 2, 2, 0, "power", "Power used in the model."], [568, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.EGARCH": [[570, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [571, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [572, 3, 1, 0, "bounds", "Returns bounds for parameters"], [573, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [574, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [575, 3, 1, 0, "forecast", "Forecast volatility from the model"], [576, 5, 1, 0, "name", "The name of the volatility process"], [577, 5, 1, 0, "num_params", "The number of parameters in the model"], [578, 3, 1, 0, "parameter_names", "Names of model parameters"], [579, 3, 1, 0, "simulate", "Simulate data from the model"], [580, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [581, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [582, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [583, 3, 1, 0, "update", "Compute the variance for a single observation"], [584, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [585, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [586, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.EGARCH.__init__": [[444, 2, 2, 0, "o", "Order of the asymmetric innovation"], [444, 2, 2, 0, "p", "Order of the symmetric innovation"], [444, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"]], "arch.univariate.EGARCH.backcast": [[570, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EGARCH.backcast_transform": [[571, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.EGARCH.bounds": [[572, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EGARCH.compute_variance": [[573, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [573, 2, 2, 0, "parameters", "Model parameters"], [573, 2, 2, 0, "resids", "Vector of mean zero residuals"], [573, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [573, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EGARCH.forecast": [[575, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [575, 2, 2, 0, "horizon", "Forecast horizon."], [575, 2, 2, 0, "method", "Method to use when producing the forecast."], [575, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [575, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [575, 2, 2, 0, "resids", "Residuals to use in the recursion"], [575, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [575, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [575, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [575, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EGARCH.simulate": [[579, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [579, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [579, 2, 2, 0, "nobs", "Number of data points to simulate"], [579, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [579, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.EGARCH.starting_values": [[581, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.EGARCH.update": [[583, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [583, 2, 2, 0, "index", "The numerical index of the variance to compute"], [583, 2, 2, 0, "parameters", "The variance model parameters"], [583, 2, 2, 0, "resids", "The residual array."], [583, 2, 2, 0, "sigma2", "The array containing the variances."], [583, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EGARCH.variance_bounds": [[585, 2, 2, 0, "power", "Power used in the model."], [585, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.EWMAVariance": [[587, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [588, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [589, 3, 1, 0, "bounds", "Returns bounds for parameters"], [590, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [591, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [592, 3, 1, 0, "forecast", "Forecast volatility from the model"], [593, 5, 1, 0, "name", "The name of the volatility process"], [594, 5, 1, 0, "num_params", "The number of parameters in the model"], [595, 3, 1, 0, "parameter_names", "Names of model parameters"], [596, 3, 1, 0, "simulate", "Simulate data from the model"], [597, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [598, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [599, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [600, 3, 1, 0, "update", "Compute the variance for a single observation"], [601, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [602, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [603, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.EWMAVariance.__init__": [[445, 2, 2, 0, "lam", "Smoothing parameter."]], "arch.univariate.EWMAVariance.backcast": [[587, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EWMAVariance.backcast_transform": [[588, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.EWMAVariance.bounds": [[589, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EWMAVariance.compute_variance": [[590, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [590, 2, 2, 0, "parameters", "Model parameters"], [590, 2, 2, 0, "resids", "Vector of mean zero residuals"], [590, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [590, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EWMAVariance.forecast": [[592, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [592, 2, 2, 0, "horizon", "Forecast horizon."], [592, 2, 2, 0, "method", "Method to use when producing the forecast."], [592, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [592, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [592, 2, 2, 0, "resids", "Residuals to use in the recursion"], [592, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [592, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [592, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [592, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EWMAVariance.simulate": [[596, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [596, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [596, 2, 2, 0, "nobs", "Number of data points to simulate"], [596, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [596, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.EWMAVariance.starting_values": [[598, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.EWMAVariance.update": [[600, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [600, 2, 2, 0, "index", "The numerical index of the variance to compute"], [600, 2, 2, 0, "parameters", "The variance model parameters"], [600, 2, 2, 0, "resids", "The residual array."], [600, 2, 2, 0, "sigma2", "The array containing the variances."], [600, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EWMAVariance.variance_bounds": [[602, 2, 2, 0, "power", "Power used in the model."], [602, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.FIGARCH": [[604, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [605, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [606, 3, 1, 0, "bounds", "Returns bounds for parameters"], [607, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [608, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [609, 3, 1, 0, "forecast", "Forecast volatility from the model"], [610, 5, 1, 0, "name", "The name of the volatility process"], [611, 5, 1, 0, "num_params", "The number of parameters in the model"], [612, 3, 1, 0, "parameter_names", "Names of model parameters"], [613, 3, 1, 0, "simulate", "Simulate data from the model"], [614, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [615, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [616, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [617, 5, 1, 0, "truncation", "Truncation lag for the ARCH-infinity approximation"], [618, 3, 1, 0, "update", "Compute the variance for a single observation"], [619, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [620, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [621, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.FIGARCH.__init__": [[446, 2, 2, 0, "p", "Order of the symmetric innovation"], [446, 2, 2, 0, "power", "Power to use with the innovations, abs(e) ** power."], [446, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"], [446, 2, 2, 0, "truncation", "Truncation point to use in ARCH(\\infty) representation. Default is 1000."]], "arch.univariate.FIGARCH.backcast": [[604, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FIGARCH.backcast_transform": [[605, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.FIGARCH.bounds": [[606, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FIGARCH.compute_variance": [[607, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [607, 2, 2, 0, "parameters", "Model parameters"], [607, 2, 2, 0, "resids", "Vector of mean zero residuals"], [607, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [607, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FIGARCH.forecast": [[609, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [609, 2, 2, 0, "horizon", "Forecast horizon."], [609, 2, 2, 0, "method", "Method to use when producing the forecast."], [609, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [609, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [609, 2, 2, 0, "resids", "Residuals to use in the recursion"], [609, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [609, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [609, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [609, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FIGARCH.simulate": [[613, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [613, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [613, 2, 2, 0, "nobs", "Number of data points to simulate"], [613, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [613, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.FIGARCH.starting_values": [[615, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.FIGARCH.update": [[618, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [618, 2, 2, 0, "index", "The numerical index of the variance to compute"], [618, 2, 2, 0, "parameters", "The variance model parameters"], [618, 2, 2, 0, "resids", "The residual array."], [618, 2, 2, 0, "sigma2", "The array containing the variances."], [618, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FIGARCH.variance_bounds": [[620, 2, 2, 0, "power", "Power used in the model."], [620, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.FixedVariance": [[622, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [623, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [624, 3, 1, 0, "bounds", "Returns bounds for parameters"], [625, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [626, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [627, 3, 1, 0, "forecast", "Forecast volatility from the model"], [628, 5, 1, 0, "name", "The name of the volatility process"], [629, 5, 1, 0, "num_params", "The number of parameters in the model"], [630, 3, 1, 0, "parameter_names", "Names of model parameters"], [631, 3, 1, 0, "simulate", "Simulate data from the model"], [632, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [633, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [634, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [635, 3, 1, 0, "update", "Compute the variance for a single observation"], [636, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [637, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [638, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.FixedVariance.__init__": [[447, 2, 2, 0, "unit_scale", "Flag whether to enforce a unit scale."], [447, 2, 2, 0, "variance", "Array containing the variances to use."]], "arch.univariate.FixedVariance.backcast": [[622, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FixedVariance.backcast_transform": [[623, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.FixedVariance.bounds": [[624, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FixedVariance.compute_variance": [[625, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [625, 2, 2, 0, "parameters", "Model parameters"], [625, 2, 2, 0, "resids", "Vector of mean zero residuals"], [625, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [625, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FixedVariance.forecast": [[627, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [627, 2, 2, 0, "horizon", "Forecast horizon."], [627, 2, 2, 0, "method", "Method to use when producing the forecast."], [627, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [627, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [627, 2, 2, 0, "resids", "Residuals to use in the recursion"], [627, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [627, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [627, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [627, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FixedVariance.simulate": [[631, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [631, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [631, 2, 2, 0, "nobs", "Number of data points to simulate"], [631, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [631, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.FixedVariance.starting_values": [[633, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.FixedVariance.update": [[635, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [635, 2, 2, 0, "index", "The numerical index of the variance to compute"], [635, 2, 2, 0, "parameters", "The variance model parameters"], [635, 2, 2, 0, "resids", "The residual array."], [635, 2, 2, 0, "sigma2", "The array containing the variances."], [635, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FixedVariance.variance_bounds": [[637, 2, 2, 0, "power", "Power used in the model."], [637, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.GARCH": [[639, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [640, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [641, 3, 1, 0, "bounds", "Returns bounds for parameters"], [642, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [643, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [644, 3, 1, 0, "forecast", "Forecast volatility from the model"], [645, 5, 1, 0, "name", "The name of the volatility process"], [646, 5, 1, 0, "num_params", "The number of parameters in the model"], [647, 3, 1, 0, "parameter_names", "Names of model parameters"], [648, 3, 1, 0, "simulate", "Simulate data from the model"], [649, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [650, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [651, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [652, 3, 1, 0, "update", "Compute the variance for a single observation"], [653, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [654, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [655, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.GARCH.__init__": [[448, 2, 2, 0, "o", "Order of the asymmetric innovation"], [448, 2, 2, 0, "p", "Order of the symmetric innovation"], [448, 2, 2, 0, "power", "Power to use with the innovations, abs(e) ** power."], [448, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"]], "arch.univariate.GARCH.backcast": [[639, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.GARCH.backcast_transform": [[640, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.GARCH.bounds": [[641, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.GARCH.compute_variance": [[642, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [642, 2, 2, 0, "parameters", "Model parameters"], [642, 2, 2, 0, "resids", "Vector of mean zero residuals"], [642, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [642, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.GARCH.forecast": [[644, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [644, 2, 2, 0, "horizon", "Forecast horizon."], [644, 2, 2, 0, "method", "Method to use when producing the forecast."], [644, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [644, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [644, 2, 2, 0, "resids", "Residuals to use in the recursion"], [644, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [644, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [644, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [644, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.GARCH.simulate": [[648, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [648, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [648, 2, 2, 0, "nobs", "Number of data points to simulate"], [648, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [648, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.GARCH.starting_values": [[650, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.GARCH.update": [[652, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [652, 2, 2, 0, "index", "The numerical index of the variance to compute"], [652, 2, 2, 0, "parameters", "The variance model parameters"], [652, 2, 2, 0, "resids", "The residual array."], [652, 2, 2, 0, "sigma2", "The array containing the variances."], [652, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.GARCH.variance_bounds": [[654, 2, 2, 0, "power", "Power used in the model."], [654, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.GeneralizedError": [[656, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [657, 3, 1, 0, "cdf", "Cumulative distribution function"], [658, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [659, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [660, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are have a Generalized Error Distribution, conditional on the variance."], [661, 3, 1, 0, "moment", "Moment of order n"], [662, 5, 1, 0, "name", "The name of the distribution"], [663, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [664, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [665, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [666, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [667, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [668, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.GeneralizedError.__init__": [[449, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [449, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.GeneralizedError.bounds": [[656, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.GeneralizedError.cdf": [[657, 2, 2, 0, "parameters", "Distribution parameters."], [657, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.GeneralizedError.loglikelihood": [[660, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [660, 2, 2, 0, "parameters", "Shape parameter of the GED distribution"], [660, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [660, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.GeneralizedError.moment": [[661, 2, 2, 0, "n", "Order of moment"], [661, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.GeneralizedError.partial_moment": [[664, 2, 2, 0, "n", "Order of partial moment"], [664, 2, 2, 0, "parameters", "Distribution parameters."], [664, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.GeneralizedError.ppf": [[665, 2, 2, 0, "parameters", "Distribution parameters."], [665, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.GeneralizedError.simulate": [[667, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.GeneralizedError.starting_values": [[668, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.HARCH": [[669, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [670, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [671, 3, 1, 0, "bounds", "Returns bounds for parameters"], [672, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [673, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [674, 3, 1, 0, "forecast", "Forecast volatility from the model"], [675, 5, 1, 0, "name", "The name of the volatility process"], [676, 5, 1, 0, "num_params", "The number of parameters in the model"], [677, 3, 1, 0, "parameter_names", "Names of model parameters"], [678, 3, 1, 0, "simulate", "Simulate data from the model"], [679, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [680, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [681, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [682, 3, 1, 0, "update", "Compute the variance for a single observation"], [683, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [684, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [685, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.HARCH.__init__": [[450, 2, 2, 0, "lags", "List of lags to include in the model, or if scalar, includes all lags up the value"]], "arch.univariate.HARCH.backcast": [[669, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.HARCH.backcast_transform": [[670, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.HARCH.bounds": [[671, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.HARCH.compute_variance": [[672, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [672, 2, 2, 0, "parameters", "Model parameters"], [672, 2, 2, 0, "resids", "Vector of mean zero residuals"], [672, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [672, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.HARCH.forecast": [[674, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [674, 2, 2, 0, "horizon", "Forecast horizon."], [674, 2, 2, 0, "method", "Method to use when producing the forecast."], [674, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [674, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [674, 2, 2, 0, "resids", "Residuals to use in the recursion"], [674, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [674, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [674, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [674, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.HARCH.simulate": [[678, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [678, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [678, 2, 2, 0, "nobs", "Number of data points to simulate"], [678, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [678, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.HARCH.starting_values": [[680, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.HARCH.update": [[682, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [682, 2, 2, 0, "index", "The numerical index of the variance to compute"], [682, 2, 2, 0, "parameters", "The variance model parameters"], [682, 2, 2, 0, "resids", "The residual array."], [682, 2, 2, 0, "sigma2", "The array containing the variances."], [682, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.HARCH.variance_bounds": [[684, 2, 2, 0, "power", "Power used in the model."], [684, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.HARX": [[686, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [687, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [688, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [689, 5, 1, 0, "distribution", "Set or gets the error distribution"], [690, 3, 1, 0, "fit", "Estimate model parameters"], [691, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [692, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [693, 5, 1, 0, "name", "The name of the model."], [694, 5, 1, 0, "num_params", "Returns the number of parameters"], [695, 3, 1, 0, "parameter_names", "List of parameters names"], [696, 3, 1, 0, "resids", "Compute model residuals"], [697, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [698, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [699, 5, 1, 0, "volatility", "Set or gets the volatility process"], [700, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [701, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.HARX.__init__": [[451, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [451, 2, 2, 0, "distribution", "Error distribution to use in the model"], [451, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [451, 2, 2, 0, "lags", "Description of lag structure of the HAR."], [451, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [451, 2, 2, 0, "use_rotated", "Flag indicating to use the alternative rotated form of the HAR where HAR lags do not overlap"], [451, 2, 2, 0, "volatility", "Volatility process to use in the model"], [451, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [451, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.HARX.compute_param_cov": [[687, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [687, 2, 2, 0, "params", "Model parameters"], [687, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.HARX.fit": [[690, 2, 2, 0, "backcast", "Value to use as backcast."], [690, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [690, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [690, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [690, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [690, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [690, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [690, 2, 2, 0, "starting_values", "Array of starting values to use."], [690, 2, 2, 0, "tol", "Tolerance for termination."], [690, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.HARX.fix": [[691, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [691, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [691, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.HARX.forecast": [[692, 2, 2, 0, "align", "Either 'origin' or 'target'."], [692, 2, 2, 0, "horizon", "Number of steps to forecast"], [692, 2, 2, 0, "method", "Method to use when producing the forecast."], [692, 2, 2, 0, "params", "Parameters required to forecast."], [692, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [692, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [692, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [692, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [692, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [692, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.HARX.resids": [[696, 2, 2, 0, "params", "Model parameters"], [696, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [696, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.HARX.simulate": [[697, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [697, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [697, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [697, 2, 2, 0, "nobs", "Length of series to simulate"], [697, 2, 2, 0, "params", "Parameters to use when simulating the model."], [697, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.LS": [[702, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [703, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [704, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [705, 5, 1, 0, "distribution", "Set or gets the error distribution"], [706, 3, 1, 0, "fit", "Estimate model parameters"], [707, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [708, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [709, 5, 1, 0, "name", "The name of the model."], [710, 5, 1, 0, "num_params", "Returns the number of parameters"], [711, 3, 1, 0, "parameter_names", "List of parameters names"], [712, 3, 1, 0, "resids", "Compute model residuals"], [713, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [714, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [715, 5, 1, 0, "volatility", "Set or gets the volatility process"], [716, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [717, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.LS.__init__": [[452, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [452, 2, 2, 0, "distribution", "Error distribution to use in the model"], [452, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [452, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [452, 2, 2, 0, "volatility", "Volatility process to use in the model"], [452, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [452, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.LS.compute_param_cov": [[703, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [703, 2, 2, 0, "params", "Model parameters"], [703, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.LS.fit": [[706, 2, 2, 0, "backcast", "Value to use as backcast."], [706, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [706, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [706, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [706, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [706, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [706, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [706, 2, 2, 0, "starting_values", "Array of starting values to use."], [706, 2, 2, 0, "tol", "Tolerance for termination."], [706, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.LS.fix": [[707, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [707, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [707, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.LS.forecast": [[708, 2, 2, 0, "align", "Either 'origin' or 'target'."], [708, 2, 2, 0, "horizon", "Number of steps to forecast"], [708, 2, 2, 0, "method", "Method to use when producing the forecast."], [708, 2, 2, 0, "params", "Parameters required to forecast."], [708, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [708, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [708, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [708, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [708, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [708, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.LS.resids": [[712, 2, 2, 0, "params", "Model parameters"], [712, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [712, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.LS.simulate": [[713, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [713, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [713, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [713, 2, 2, 0, "nobs", "Length of series to simulate"], [713, 2, 2, 0, "params", "Parameters to use when simulating the model."], [713, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.MIDASHyperbolic": [[718, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [719, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [720, 3, 1, 0, "bounds", "Returns bounds for parameters"], [721, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [722, 3, 1, 0, "constraints", "Constraints"], [723, 3, 1, 0, "forecast", "Forecast volatility from the model"], [724, 5, 1, 0, "name", "The name of the volatility process"], [725, 5, 1, 0, "num_params", "The number of parameters in the model"], [726, 3, 1, 0, "parameter_names", "Names of model parameters"], [727, 3, 1, 0, "simulate", "Simulate data from the model"], [728, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [729, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [730, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [731, 3, 1, 0, "update", "Compute the variance for a single observation"], [732, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [733, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [734, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.MIDASHyperbolic.__init__": [[453, 2, 2, 0, "asym", "Flag indicating whether to include an asymmetric term"], [453, 2, 2, 0, "m", "Length of maximum lag to include in the model"]], "arch.univariate.MIDASHyperbolic.backcast": [[718, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.MIDASHyperbolic.backcast_transform": [[719, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.MIDASHyperbolic.bounds": [[720, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.MIDASHyperbolic.compute_variance": [[721, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [721, 2, 2, 0, "parameters", "Model parameters"], [721, 2, 2, 0, "resids", "Vector of mean zero residuals"], [721, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [721, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.MIDASHyperbolic.forecast": [[723, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [723, 2, 2, 0, "horizon", "Forecast horizon."], [723, 2, 2, 0, "method", "Method to use when producing the forecast."], [723, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [723, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [723, 2, 2, 0, "resids", "Residuals to use in the recursion"], [723, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [723, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [723, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [723, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.MIDASHyperbolic.simulate": [[727, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [727, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [727, 2, 2, 0, "nobs", "Number of data points to simulate"], [727, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [727, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.MIDASHyperbolic.starting_values": [[729, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.MIDASHyperbolic.update": [[731, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [731, 2, 2, 0, "index", "The numerical index of the variance to compute"], [731, 2, 2, 0, "parameters", "The variance model parameters"], [731, 2, 2, 0, "resids", "The residual array."], [731, 2, 2, 0, "sigma2", "The array containing the variances."], [731, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.MIDASHyperbolic.variance_bounds": [[733, 2, 2, 0, "power", "Power used in the model."], [733, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.Normal": [[735, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [736, 3, 1, 0, "cdf", "Cumulative distribution function"], [737, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [738, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [739, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are normally distributed, conditional on the variance"], [740, 3, 1, 0, "moment", "Moment of order n"], [741, 5, 1, 0, "name", "The name of the distribution"], [742, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [743, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [744, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [745, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [746, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [747, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.Normal.__init__": [[454, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [454, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.Normal.bounds": [[735, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.Normal.cdf": [[736, 2, 2, 0, "parameters", "Distribution parameters."], [736, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.Normal.loglikelihood": [[739, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [739, 2, 2, 0, "parameters", "The normal likelihood has no shape parameters."], [739, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [739, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.Normal.moment": [[740, 2, 2, 0, "n", "Order of moment"], [740, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.Normal.partial_moment": [[743, 2, 2, 0, "n", "Order of partial moment"], [743, 2, 2, 0, "parameters", "Distribution parameters."], [743, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.Normal.ppf": [[744, 2, 2, 0, "parameters", "Distribution parameters."], [744, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.Normal.simulate": [[746, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.Normal.starting_values": [[747, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.RiskMetrics2006": [[748, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [749, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [750, 3, 1, 0, "bounds", "Returns bounds for parameters"], [751, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [752, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [753, 3, 1, 0, "forecast", "Forecast volatility from the model"], [754, 5, 1, 0, "name", "The name of the volatility process"], [755, 5, 1, 0, "num_params", "The number of parameters in the model"], [756, 3, 1, 0, "parameter_names", "Names of model parameters"], [757, 3, 1, 0, "simulate", "Simulate data from the model"], [758, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [759, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [760, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [761, 3, 1, 0, "update", "Compute the variance for a single observation"], [762, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [763, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [764, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.RiskMetrics2006.__init__": [[455, 2, 2, 0, "kmax", "Number of components."], [455, 2, 2, 0, "rho", "Relative scale of adjacent cycles."], [455, 2, 2, 0, "tau0", "Length of long cycle."], [455, 2, 2, 0, "tau1", "Length of short cycle."]], "arch.univariate.RiskMetrics2006.backcast": [[748, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.RiskMetrics2006.backcast_transform": [[749, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.RiskMetrics2006.bounds": [[750, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.RiskMetrics2006.compute_variance": [[751, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [751, 2, 2, 0, "parameters", "Model parameters"], [751, 2, 2, 0, "resids", "Vector of mean zero residuals"], [751, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [751, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.RiskMetrics2006.forecast": [[753, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [753, 2, 2, 0, "horizon", "Forecast horizon."], [753, 2, 2, 0, "method", "Method to use when producing the forecast."], [753, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [753, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [753, 2, 2, 0, "resids", "Residuals to use in the recursion"], [753, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [753, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [753, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [753, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.RiskMetrics2006.simulate": [[757, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [757, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [757, 2, 2, 0, "nobs", "Number of data points to simulate"], [757, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [757, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.RiskMetrics2006.starting_values": [[759, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.RiskMetrics2006.update": [[761, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [761, 2, 2, 0, "index", "The numerical index of the variance to compute"], [761, 2, 2, 0, "parameters", "The variance model parameters"], [761, 2, 2, 0, "resids", "The residual array."], [761, 2, 2, 0, "sigma2", "The array containing the variances."], [761, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.RiskMetrics2006.variance_bounds": [[763, 2, 2, 0, "power", "Power used in the model."], [763, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.SkewStudent": [[765, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [766, 3, 1, 0, "cdf", "Cumulative distribution function"], [767, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [768, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [769, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are have a standardized (to have unit variance) Skew Student's t distribution, conditional on the variance."], [770, 3, 1, 0, "moment", "Moment of order n"], [771, 5, 1, 0, "name", "The name of the distribution"], [772, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [773, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [774, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [775, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [776, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [777, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.SkewStudent.__init__": [[456, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [456, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.SkewStudent.bounds": [[765, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.SkewStudent.cdf": [[766, 2, 2, 0, "parameters", "Distribution parameters."], [766, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.SkewStudent.loglikelihood": [[769, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [769, 2, 2, 0, "parameters", "Shape parameter of the skew-t distribution"], [769, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [769, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.SkewStudent.moment": [[770, 2, 2, 0, "n", "Order of moment"], [770, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.SkewStudent.partial_moment": [[773, 2, 2, 0, "n", "Order of partial moment"], [773, 2, 2, 0, "parameters", "Distribution parameters."], [773, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.SkewStudent.ppf": [[774, 2, 2, 0, "parameters", "Distribution parameters."], [774, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.SkewStudent.simulate": [[776, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.SkewStudent.starting_values": [[777, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.StudentsT": [[778, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [779, 3, 1, 0, "cdf", "Cumulative distribution function"], [780, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [781, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [782, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are have a standardized (to have unit variance) Student's t distribution, conditional on the variance."], [783, 3, 1, 0, "moment", "Moment of order n"], [784, 5, 1, 0, "name", "The name of the distribution"], [785, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [786, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [787, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [788, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [789, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [790, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.StudentsT.__init__": [[457, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [457, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.StudentsT.bounds": [[778, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.StudentsT.cdf": [[779, 2, 2, 0, "parameters", "Distribution parameters."], [779, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.StudentsT.loglikelihood": [[782, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [782, 2, 2, 0, "parameters", "Shape parameter of the t distribution"], [782, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [782, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.StudentsT.moment": [[783, 2, 2, 0, "n", "Order of moment"], [783, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.StudentsT.partial_moment": [[786, 2, 2, 0, "n", "Order of partial moment"], [786, 2, 2, 0, "parameters", "Distribution parameters."], [786, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.StudentsT.ppf": [[787, 2, 2, 0, "parameters", "Distribution parameters."], [787, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.StudentsT.simulate": [[789, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.StudentsT.starting_values": [[790, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.ZeroMean": [[791, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [792, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [793, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [794, 5, 1, 0, "distribution", "Set or gets the error distribution"], [795, 3, 1, 0, "fit", "Estimate model parameters"], [796, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [797, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [798, 5, 1, 0, "name", "The name of the model."], [799, 5, 1, 0, "num_params", "Returns the number of parameters"], [800, 3, 1, 0, "parameter_names", "List of parameters names"], [801, 3, 1, 0, "resids", "Compute model residuals"], [802, 3, 1, 0, "simulate", "Simulated data from a zero mean model"], [803, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [804, 5, 1, 0, "volatility", "Set or gets the volatility process"], [805, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [806, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ZeroMean.__init__": [[458, 2, 2, 0, "distribution", "Error distribution to use in the model"], [458, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [458, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [458, 2, 2, 0, "volatility", "Volatility process to use in the model"], [458, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ZeroMean.compute_param_cov": [[792, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [792, 2, 2, 0, "params", "Model parameters"], [792, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ZeroMean.fit": [[795, 2, 2, 0, "backcast", "Value to use as backcast."], [795, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [795, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [795, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [795, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [795, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [795, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [795, 2, 2, 0, "starting_values", "Array of starting values to use."], [795, 2, 2, 0, "tol", "Tolerance for termination."], [795, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ZeroMean.fix": [[796, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [796, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [796, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ZeroMean.forecast": [[797, 2, 2, 0, "align", "Either 'origin' or 'target'."], [797, 2, 2, 0, "horizon", "Number of steps to forecast"], [797, 2, 2, 0, "method", "Method to use when producing the forecast."], [797, 2, 2, 0, "params", "Parameters required to forecast."], [797, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [797, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [797, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [797, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [797, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [797, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ZeroMean.resids": [[801, 2, 2, 0, "params", "Model parameters"], [801, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [801, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ZeroMean.simulate": [[802, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [802, 2, 2, 0, "initial_value", "This value is not used."], [802, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [802, 2, 2, 0, "nobs", "Length of series to simulate"], [802, 2, 2, 0, "params", "Parameters to use when simulating the model."], [802, 2, 2, 0, "x", "This value is not used."]], "arch.univariate.arch_model": [[907, 2, 2, 0, "dist", "Name of the error distribution."], [907, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [907, 2, 2, 0, "lags", "Either a scalar integer value indicating lag length or a list of integers specifying lag locations."], [907, 2, 2, 0, "mean", "Name of the mean model."], [907, 2, 2, 0, "o", "Lag order of the asymmetric innovation"], [907, 2, 2, 0, "p", "Lag order of the symmetric innovation"], [907, 2, 2, 0, "power", "Power to use with GARCH and related models"], [907, 2, 2, 0, "q", "Lag order of lagged volatility or equivalent"], [907, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters."], [907, 2, 2, 0, "vol", "Name of the volatility model."], [907, 2, 2, 0, "x", "Exogenous regressors."], [907, 2, 2, 0, "y", "The dependent variable"]], "arch.univariate.base": [[459, 1, 1, 0, "ARCHModel", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [460, 1, 1, 0, "ARCHModelFixedResult", "Results for fixed parameters for an ARCHModel model"], [461, 1, 1, 0, "ARCHModelForecast", "Container for forecasts from an ARCH Model"], [462, 1, 1, 0, "ARCHModelForecastSimulation", "Container for a simulation or bootstrap-based forecasts from an ARCH Model"], [463, 1, 1, 0, "ARCHModelResult", "Results from estimation of an ARCHModel model"]], "arch.univariate.base.ARCHModel": [[807, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [808, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [809, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [810, 5, 1, 0, "distribution", "Set or gets the error distribution"], [811, 3, 1, 0, "fit", "Estimate model parameters"], [812, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [813, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [814, 5, 1, 0, "name", "The name of the model."], [815, 5, 1, 0, "num_params", "Number of parameters in the model"], [816, 3, 1, 0, "parameter_names", "List of parameters names"], [817, 3, 1, 0, "resids", "Compute model residuals"], [818, 3, 1, 0, "simulate", ""], [819, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [820, 5, 1, 0, "volatility", "Set or gets the volatility process"], [821, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.base.ARCHModel.__init__": [[459, 2, 2, "arch.univariate.base.ARCHModel", "distribution", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "hold_back", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "rescale", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "volatility", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "y", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."]], "arch.univariate.base.ARCHModel.compute_param_cov": [[808, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [808, 2, 2, 0, "params", "Model parameters"], [808, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.base.ARCHModel.fit": [[811, 2, 2, 0, "backcast", "Value to use as backcast."], [811, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [811, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [811, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [811, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [811, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [811, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [811, 2, 2, 0, "starting_values", "Array of starting values to use."], [811, 2, 2, 0, "tol", "Tolerance for termination."], [811, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.base.ARCHModel.fix": [[812, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [812, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [812, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.base.ARCHModel.forecast": [[813, 2, 2, 0, "align", "Either 'origin' or 'target'."], [813, 2, 2, 0, "horizon", "Number of steps to forecast"], [813, 2, 2, 0, "method", "Method to use when producing the forecast."], [813, 2, 2, 0, "params", "Parameters required to forecast."], [813, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [813, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [813, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [813, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [813, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [813, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.base.ARCHModel.resids": [[817, 2, 2, 0, "params", "Model parameters"], [817, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [817, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.base.ARCHModel.simulate": [[818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "burn", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "initial_value", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "initial_value_vol", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "nobs", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "params", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "x", ""]], "arch.univariate.base.ARCHModelFixedResult": [[822, 5, 1, 0, "aic", "Akaike Information Criteria"], [823, 3, 1, 0, "arch_lm_test", "ARCH LM test for conditional heteroskedasticity"], [824, 5, 1, 0, "bic", "Schwarz/Bayesian Information Criteria"], [825, 5, 1, 0, "conditional_volatility", "Estimated conditional volatility"], [826, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [827, 3, 1, 0, "hedgehog_plot", "Plot forecasts from estimated model"], [828, 5, 1, 0, "loglikelihood", "Model loglikelihood"], [829, 5, 1, 0, "model", "Model instance used to produce the fit"], [830, 5, 1, 0, "nobs", "Number of data points used to estimate model"], [831, 5, 1, 0, "num_params", "Number of parameters in model"], [832, 5, 1, 0, "params", "Model Parameters"], [833, 3, 1, 0, "plot", "Plot standardized residuals and conditional volatility"], [834, 5, 1, 0, "resid", "Model residuals"], [835, 5, 1, 0, "std_resid", "Residuals standardized by conditional volatility"], [836, 3, 1, 0, "summary", "Constructs a summary of the results from a fit model."]], "arch.univariate.base.ARCHModelFixedResult.__init__": [[460, 2, 2, 0, "dep_var", "Dependent variable"], [460, 2, 2, 0, "is_pandas", "Whether the original input was pandas"], [460, 2, 2, 0, "loglikelihood", "Loglikelihood at specified parameters"], [460, 2, 2, 0, "model", "The model object used to estimate the parameters"], [460, 2, 2, 0, "names", "Model parameter names"], [460, 2, 2, 0, "params", "Estimated parameters"], [460, 2, 2, 0, "resid", "Residuals from model."], [460, 2, 2, 0, "volatility", "Conditional volatility from model"]], "arch.univariate.base.ARCHModelFixedResult.arch_lm_test": [[823, 2, 2, 0, "lags", "Number of lags to include in the model."], [823, 2, 2, 0, "standardized", "Flag indicating to test the model residuals divided by their conditional standard deviations."]], "arch.univariate.base.ARCHModelFixedResult.forecast": [[826, 2, 2, 0, "align", "Either 'origin' or 'target'."], [826, 2, 2, 0, "horizon", "Number of steps to forecast"], [826, 2, 2, 0, "method", "Method to use when producing the forecast."], [826, 2, 2, 0, "params", "Alternative parameters to use."], [826, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [826, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [826, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [826, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [826, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [826, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.base.ARCHModelFixedResult.hedgehog_plot": [[827, 2, 2, 0, "horizon", "Number of steps to forecast"], [827, 2, 2, 0, "method", "Method to use when producing the forecast."], [827, 2, 2, 0, "params", "Alternative parameters to use."], [827, 2, 2, 0, "plot_type", "Quantity to plot, the forecast volatility or the forecast mean"], [827, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [827, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [827, 2, 2, 0, "step", "Non-negative number of forecasts to skip between spines"]], "arch.univariate.base.ARCHModelFixedResult.plot": [[833, 2, 2, 0, "annualize", "String containing frequency of data that indicates plot should contain annualized volatility."], [833, 2, 2, 0, "scale", "Value to use when scaling returns to annualize."]], "arch.univariate.base.ARCHModelForecast": [[837, 5, 1, 0, "mean", "Forecast values for the conditional mean of the process"], [838, 5, 1, 0, "residual_variance", "Forecast values for the conditional variance of the residuals"], [839, 5, 1, 0, "simulations", "Detailed simulation results if using a simulation-based method"], [840, 5, 1, 0, "variance", "Forecast values for the conditional variance of the process"]], "arch.univariate.base.ARCHModelForecast.__init__": [[461, 2, 2, 0, "align", ""], [461, 2, 2, 0, "index", ""], [461, 2, 2, 0, "mean", ""], [461, 2, 2, "arch.univariate.base.ARCHModelForecast", "reindex", "Container for forecasts from an ARCH Model"], [461, 2, 2, 0, "residual_variance", ""], [461, 2, 2, 0, "simulated_paths", ""], [461, 2, 2, 0, "simulated_residual_variances", ""], [461, 2, 2, 0, "simulated_residuals", ""], [461, 2, 2, 0, "simulated_variances", ""], [461, 2, 2, "arch.univariate.base.ARCHModelForecast", "start_index", "Container for forecasts from an ARCH Model"], [461, 2, 2, 0, "variance", ""]], "arch.univariate.base.ARCHModelForecastSimulation": [[841, 5, 1, 0, "index", "The index aligned to dimension 0 of the simulation paths"], [842, 5, 1, 0, "residual_variances", "Simulated variance of the residuals"], [843, 5, 1, 0, "residuals", "Simulated residuals used to produce the values"], [844, 5, 1, 0, "values", "The values of the process"], [845, 5, 1, 0, "variances", "Simulated variances of the values"]], "arch.univariate.base.ARCHModelForecastSimulation.__init__": [[462, 2, 2, 0, "index", ""], [462, 2, 2, 0, "residual_variances", ""], [462, 2, 2, 0, "residuals", ""], [462, 2, 2, 0, "values", ""], [462, 2, 2, 0, "variances", ""]], "arch.univariate.base.ARCHModelResult": [[846, 5, 1, 0, "aic", "Akaike Information Criteria"], [847, 3, 1, 0, "arch_lm_test", "ARCH LM test for conditional heteroskedasticity"], [848, 5, 1, 0, "bic", "Schwarz/Bayesian Information Criteria"], [849, 5, 1, 0, "conditional_volatility", "Estimated conditional volatility"], [850, 3, 1, 0, "conf_int", "Parameter confidence intervals"], [851, 5, 1, 0, "convergence_flag", "scipy.optimize.minimize result flag"], [852, 5, 1, 0, "fit_start", "Start of sample used to estimate parameters"], [853, 5, 1, 0, "fit_stop", "End of sample used to estimate parameters"], [854, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [855, 3, 1, 0, "hedgehog_plot", "Plot forecasts from estimated model"], [856, 5, 1, 0, "loglikelihood", "Model loglikelihood"], [857, 5, 1, 0, "model", "Model instance used to produce the fit"], [858, 5, 1, 0, "nobs", "Number of data points used to estimate model"], [859, 5, 1, 0, "num_params", "Number of parameters in model"], [860, 5, 1, 0, "optimization_result", "Information about the convergence of the loglikelihood optimization"], [861, 5, 1, 0, "param_cov", "Parameter covariance"], [862, 5, 1, 0, "params", "Model Parameters"], [863, 3, 1, 0, "plot", "Plot standardized residuals and conditional volatility"], [864, 5, 1, 0, "pvalues", "Array of p-values for the t-statistics"], [865, 5, 1, 0, "resid", "Model residuals"], [866, 5, 1, 0, "rsquared", "R-squared"], [867, 5, 1, 0, "rsquared_adj", "Degree of freedom adjusted R-squared"], [868, 5, 1, 0, "scale", "The scale applied to the original data before estimating the model."], [869, 5, 1, 0, "std_err", "Array of parameter standard errors"], [870, 5, 1, 0, "std_resid", "Residuals standardized by conditional volatility"], [871, 3, 1, 0, "summary", "Constructs a summary of the results from a fit model."], [872, 5, 1, 0, "tvalues", "Array of t-statistics testing the null that the coefficient are 0"]], "arch.univariate.base.ARCHModelResult.__init__": [[463, 2, 2, 0, "cov_type", "String describing the covariance estimator used"], [463, 2, 2, 0, "dep_var", "Dependent variable"], [463, 2, 2, 0, "fit_start", "Integer index of the first observation used to fit the model"], [463, 2, 2, 0, "fit_stop", "Integer index of the last observation used to fit the model using slice notation fit_start:fit_stop"], [463, 2, 2, 0, "is_pandas", "Whether the original input was pandas"], [463, 2, 2, 0, "loglikelihood", "Loglikelihood at estimated parameters"], [463, 2, 2, 0, "model", "The model object used to estimate the parameters"], [463, 2, 2, 0, "names", "Model parameter names"], [463, 2, 2, 0, "optim_output", "Result of log-likelihood optimization"], [463, 2, 2, 0, "param_cov", "Estimated variance-covariance matrix of params."], [463, 2, 2, 0, "params", "Estimated parameters"], [463, 2, 2, 0, "r2", "Model R-squared"], [463, 2, 2, 0, "resid", "Residuals from model."], [463, 2, 2, 0, "volatility", "Conditional volatility from model"]], "arch.univariate.base.ARCHModelResult.arch_lm_test": [[847, 2, 2, 0, "lags", "Number of lags to include in the model."], [847, 2, 2, 0, "standardized", "Flag indicating to test the model residuals divided by their conditional standard deviations."]], "arch.univariate.base.ARCHModelResult.conf_int": [[850, 2, 2, 0, "alpha", "Size (prob.) to use when constructing the confidence interval."]], "arch.univariate.base.ARCHModelResult.forecast": [[854, 2, 2, 0, "align", "Either 'origin' or 'target'."], [854, 2, 2, 0, "horizon", "Number of steps to forecast"], [854, 2, 2, 0, "method", "Method to use when producing the forecast."], [854, 2, 2, 0, "params", "Alternative parameters to use."], [854, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [854, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [854, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [854, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [854, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [854, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.base.ARCHModelResult.hedgehog_plot": [[855, 2, 2, 0, "horizon", "Number of steps to forecast"], [855, 2, 2, 0, "method", "Method to use when producing the forecast."], [855, 2, 2, 0, "params", "Alternative parameters to use."], [855, 2, 2, 0, "plot_type", "Quantity to plot, the forecast volatility or the forecast mean"], [855, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [855, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [855, 2, 2, 0, "step", "Non-negative number of forecasts to skip between spines"]], "arch.univariate.base.ARCHModelResult.plot": [[863, 2, 2, 0, "annualize", "String containing frequency of data that indicates plot should contain annualized volatility."], [863, 2, 2, 0, "scale", "Value to use when scaling returns to annualize."]], "arch.univariate.distribution": [[464, 1, 1, 0, "Distribution", "Template for subclassing only"]], "arch.univariate.distribution.Distribution": [[873, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [874, 3, 1, 0, "cdf", "Cumulative distribution function"], [875, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [876, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [877, 3, 1, 0, "loglikelihood", "Loglikelihood evaluation."], [878, 3, 1, 0, "moment", "Moment of order n"], [879, 5, 1, 0, "name", "The name of the distribution"], [880, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [881, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [882, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [883, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [884, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [885, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.distribution.Distribution.__init__": [[464, 2, 2, "arch.univariate.distribution.Distribution", "random_state", "Template for subclassing only"], [464, 2, 2, "arch.univariate.distribution.Distribution", "seed", "Template for subclassing only"]], "arch.univariate.distribution.Distribution.bounds": [[873, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.distribution.Distribution.cdf": [[874, 2, 2, 0, "parameters", "Distribution parameters."], [874, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.distribution.Distribution.loglikelihood": [[877, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [877, 2, 2, 0, "parameters", "Distribution shape parameters"], [877, 2, 2, 0, "resids", "nobs array of model residuals"], [877, 2, 2, 0, "sigma2", "nobs array of conditional variances"]], "arch.univariate.distribution.Distribution.moment": [[878, 2, 2, 0, "n", "Order of moment"], [878, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.distribution.Distribution.partial_moment": [[881, 2, 2, 0, "n", "Order of partial moment"], [881, 2, 2, 0, "parameters", "Distribution parameters."], [881, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.distribution.Distribution.ppf": [[882, 2, 2, 0, "parameters", "Distribution parameters."], [882, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.distribution.Distribution.simulate": [[884, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.distribution.Distribution.starting_values": [[885, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.recursions": [[465, 1, 1, 0, "VolatilityUpdater", "Base class that all volatility updaters must inherit from."]], "arch.univariate.recursions.VolatilityUpdater": [[886, 3, 1, 0, "initialize_update", ""]], "arch.univariate.recursions.VolatilityUpdater.initialize_update": [[886, 2, 2, "arch.univariate.recursions.VolatilityUpdater.initialize_update", "backcast", ""], [886, 2, 2, "arch.univariate.recursions.VolatilityUpdater.initialize_update", "nobs", ""], [886, 2, 2, "arch.univariate.recursions.VolatilityUpdater.initialize_update", "parameters", ""]], "arch.univariate.volatility": [[466, 1, 1, 0, "VarianceForecast", "Container for variance forecasts"], [467, 1, 1, 0, "VolatilityProcess", "Abstract base class for ARCH models.  Allows the conditional mean model to be specified separately from the conditional variance, even though parameters are estimated jointly."]], "arch.univariate.volatility.VarianceForecast": [[887, 5, 1, 0, "forecast_paths", "The variance forecast paths"], [888, 5, 1, 0, "forecasts", "The variance forecasts"], [889, 5, 1, 0, "shocks", "The shocks used to construct the variance forecast paths"]], "arch.univariate.volatility.VarianceForecast.__init__": [[466, 2, 2, 0, "forecast_paths", "Array containing the forecast paths if using simulation or bootstrap"], [466, 2, 2, 0, "forecasts", "Array containing the forecasts"], [466, 2, 2, 0, "shocks", "Array containing the shocks used to generate the forecast paths if using simulation or bootstrap"]], "arch.univariate.volatility.VolatilityProcess": [[890, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [891, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [892, 3, 1, 0, "bounds", "Returns bounds for parameters"], [893, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [894, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [895, 3, 1, 0, "forecast", "Forecast volatility from the model"], [896, 5, 1, 0, "name", "The name of the volatility process"], [897, 5, 1, 0, "num_params", "The number of parameters in the model"], [898, 3, 1, 0, "parameter_names", "Names of model parameters"], [899, 3, 1, 0, "simulate", "Simulate data from the model"], [900, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [901, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [902, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [903, 3, 1, 0, "update", "Compute the variance for a single observation"], [904, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [905, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [906, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.volatility.VolatilityProcess.backcast": [[890, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.volatility.VolatilityProcess.backcast_transform": [[891, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.volatility.VolatilityProcess.bounds": [[892, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.volatility.VolatilityProcess.compute_variance": [[893, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [893, 2, 2, 0, "parameters", "Model parameters"], [893, 2, 2, 0, "resids", "Vector of mean zero residuals"], [893, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [893, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.volatility.VolatilityProcess.forecast": [[895, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [895, 2, 2, 0, "horizon", "Forecast horizon."], [895, 2, 2, 0, "method", "Method to use when producing the forecast."], [895, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [895, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [895, 2, 2, 0, "resids", "Residuals to use in the recursion"], [895, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [895, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [895, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [895, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.volatility.VolatilityProcess.simulate": [[899, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [899, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [899, 2, 2, 0, "nobs", "Number of data points to simulate"], [899, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [899, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.volatility.VolatilityProcess.starting_values": [[901, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.volatility.VolatilityProcess.update": [[903, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [903, 2, 2, 0, "index", "The numerical index of the variance to compute"], [903, 2, 2, 0, "parameters", "The variance model parameters"], [903, 2, 2, 0, "resids", "The residual array."], [903, 2, 2, 0, "sigma2", "The array containing the variances."], [903, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.volatility.VolatilityProcess.variance_bounds": [[905, 2, 2, 0, "power", "Power used in the model."], [905, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.utility": [[916, 0, 0, 1, "testing", ""]], "arch.utility.testing": [[916, 1, 1, 0, "WaldTestStatistic", "Test statistic holder for Wald-type tests"]], "arch.utility.testing.WaldTestStatistic": [[916, 5, 1, 0, "critical_values", "Critical values test for common test sizes"], [916, 5, 1, 0, "null", "Null hypothesis"], [916, 5, 1, 0, "pval", "P-value of test statistic"], [916, 5, 1, 0, "stat", "Test statistic"]], "arch.utility.testing.WaldTestStatistic.__init__": [[916, 2, 2, 0, "alternative", "A statement of the test's alternative hypothesis"], [916, 2, 2, 0, "df", "Degree of freedom."], [916, 2, 2, 0, "name", "Name of test"], [916, 2, 2, 0, "null", "A statement of the test's null hypothesis"], [916, 2, 2, 0, "stat", "The test statistic"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "parameter", "Python parameter"], "3": ["py", "method", "Python method"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "property", "Python property"], "6": ["py", "function", "Python function"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:parameter", "3": "py:method", "4": "py:attribute", "5": "py:property", "6": "py:function"}, "terms": {"": [3, 4, 5, 8, 10, 17, 21, 22, 23, 32, 36, 37, 38, 47, 51, 52, 53, 62, 66, 67, 68, 77, 81, 82, 83, 87, 88, 94, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 121, 131, 145, 155, 165, 175, 185, 195, 205, 215, 225, 235, 245, 257, 258, 264, 267, 268, 271, 275, 276, 278, 286, 289, 290, 367, 381, 415, 433, 434, 437, 456, 457, 508, 525, 541, 690, 706, 769, 782, 795, 811, 907, 912, 913, 916], "0": [3, 4, 5, 6, 7, 8, 9, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 94, 95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 250, 252, 259, 261, 271, 275, 276, 277, 278, 279, 280, 282, 287, 288, 290, 367, 381, 415, 430, 433, 434, 437, 438, 440, 441, 444, 445, 446, 448, 449, 451, 453, 454, 456, 457, 469, 473, 485, 488, 491, 502, 506, 508, 510, 516, 523, 525, 527, 532, 539, 541, 543, 548, 554, 557, 568, 571, 574, 585, 588, 591, 602, 605, 608, 620, 623, 626, 637, 640, 643, 654, 658, 664, 665, 666, 670, 673, 684, 688, 690, 692, 697, 704, 706, 708, 713, 719, 722, 733, 737, 743, 744, 745, 749, 752, 763, 767, 773, 774, 775, 780, 786, 787, 788, 793, 795, 797, 802, 809, 811, 813, 827, 833, 841, 850, 855, 863, 868, 872, 875, 881, 882, 883, 891, 894, 905, 907, 911, 912, 913, 914, 915], "00": [434, 913], "000": [271, 277, 433, 434, 907, 911, 912, 914, 915], "0000": [278, 914], "00000": 3, "000000": [3, 433, 434, 913], "000049": 3, "000050": [], "000087": [], "000104": 3, "00012281": 911, "000185": 433, "00020472": [], "00024562": 911, "000359": 3, "000379": [], "00040943": [], "00049124": 911, "000621": 433, "000659": [], "000673": 3, "00081886": [], "00098248": 911, "001": [434, 907, 912, 914], "00163773": [], "001643": 3, "00196496": 911, "001e": 915, "002": 434, "002304": [], "002791": [], "002868": [3, 913], "002e": 914, "003": [271, 912], "00327546": [], "003536": 3, "00392991": 911, "003e": 914, "004": 434, "005": 271, "0059": 276, "006": 434, "00655092": [], "007": [433, 434], "007492": [], "00785983": 911, "009": [434, 912], "01": [433, 437, 451, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 813, 826, 827, 833, 854, 855, 863, 911, 913, 914, 915], "0100": 914, "010188": 913, "011e": 914, "012": 434, "0128": 277, "013": 434, "01310183": [], "013400": 915, "0143": 914, "014915": 3, "015": 914, "0152": 915, "0156": 907, "01571966": 911, "016": 914, "017": [434, 914], "0175": 914, "0189": 914, "019497": 915, "019569": 3, "0196": 914, "019659": [], "02": [907, 911, 912, 914, 915], "020": 434, "020000": [3, 434], "0201": 914, "020830": 88, "02096168": 907, "0214": 915, "0216": 914, "021e": 914, "022413": 915, "022e": 911, "0232": 914, "0235": 914, "0236": 914, "024": [271, 434], "024029": [], "0248": 434, "0249": 912, "024e": 915, "025": 434, "0258": 914, "0262": 912, "02620367": [], "026381": 3, "026979": 911, "026e": 914, "0271": 275, "028": [], "0285": 911, "028614": 915, "029": 434, "029365": 914, "03": [434, 907, 911, 912, 913, 914, 915], "030": [434, 914], "030000": [3, 434], "030e": 914, "031245": [], "03143932": 911, "0318": 912, "0323": 914, "036104": 914, "036986": 914, "037": 914, "0376": 915, "038": 434, "0383": 434, "039": [], "0393": 912, "039339": 3, "039606": [], "039686": 911, "04": [3, 434, 437, 907, 911, 912, 913, 914, 915], "040": [434, 911], "040928": 914, "041260e": 3, "041426": [], "041616": 914, "041656e": [], "042": 271, "043704": 915, "043e": [], "044": 271, "0440": 434, "044344": 914, "044374": 914, "0447": 276, "044e": 912, "045": [430, 914], "0465": 914, "046682": 914, "047683": 914, "047e": 914, "048516": 914, "0493": 912, "049454": 88, "0499": 912, "05": [3, 250, 252, 259, 261, 434, 437, 438, 802, 850, 911, 913, 914, 915], "050049": 915, "050102": 913, "0510": 434, "051295": 913, "051e": 914, "052": 911, "05240734": [], "0525": 434, "052518": 911, "0531": 907, "054077": 913, "054625": [], "055": 911, "055327": 913, "055806": 914, "056": 271, "056353": 913, "0564": 914, "056438": 914, "056749": [], "056e": 912, "057": [], "057514": [], "058": 912, "058028": 913, "058e": 914, "059335": 913, "06": [433, 434, 437, 911, 913, 914, 915], "0600": 914, "060000": [3, 434], "061": [], "0612": 912, "06287863": 911, "0632": 912, "063e": 914, "064435": [], "064889": 914, "064980": 914, "064e": 912, "065": [434, 911], "066": 914, "068": 912, "068552": [], "0686": 911, "069": 912, "07": [3, 516, 532, 548, 697, 713, 833, 863, 911, 913, 914, 915], "070": [], "070000": [3, 434], "07138907": 907, "073": [], "0730": 914, "073e": 914, "07474930802459016": 10, "075172": 911, "076e": [912, 914], "077": 434, "0772": [], "077415": 914, "0788": 914, "079": [434, 914], "079952": 911, "08": [911, 913, 914, 915], "080017": [], "080144": [], "081": 911, "081e": [912, 915], "0822": 275, "083e": 914, "084": 434, "084042": 915, "0843": 914, "084669": 913, "084e": 914, "085": 451, "085003": 913, "085627": 914, "085678": 913, "085786": 913, "0859": 914, "086e": 914, "0879": 907, "087e": 914, "088": 434, "088454": 913, "088783": 913, "089512": 913, "089593": 913, "09": [911, 912, 914, 915], "090": 434, "090088": 915, "0901": [], "09166573": [], "091e": 914, "092": [], "092216": 913, "092541": 913, "093042": 914, "0931": 275, "093324": 913, "093378": 913, "0937": 911, "094e": [], "095": [434, 912], "096": [], "097192": 915, "09760149": 907, "097739": 911, "098587": [], "098e": 912, "099": 271, "099861": 911, "099e": [911, 912], "0rc1": [91, 98], "0th": [510, 527, 543, 692, 708, 797, 813, 826, 854], "0x7f51800ff730": [], "0x7fa69c52dd50": 915, "1": [1, 3, 4, 5, 6, 7, 8, 9, 10, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 87, 88, 89, 94, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 120, 122, 130, 132, 144, 146, 154, 156, 164, 166, 174, 176, 184, 186, 194, 196, 204, 206, 214, 216, 224, 226, 234, 236, 244, 246, 250, 251, 252, 259, 261, 271, 275, 276, 277, 278, 279, 280, 282, 284, 287, 290, 354, 375, 381, 394, 402, 411, 419, 430, 433, 434, 437, 438, 439, 440, 441, 444, 445, 446, 448, 450, 451, 453, 455, 456, 475, 492, 508, 510, 516, 525, 527, 532, 541, 543, 548, 558, 575, 592, 609, 627, 644, 660, 664, 665, 668, 674, 690, 692, 697, 706, 708, 713, 722, 723, 739, 743, 744, 753, 769, 773, 774, 782, 786, 787, 795, 797, 802, 811, 813, 825, 826, 827, 849, 854, 855, 868, 881, 882, 895, 907, 908, 911, 912, 913, 914, 915], "10": [3, 10, 87, 248, 271, 280, 402, 419, 430, 433, 434, 437, 451, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 911, 912, 913, 914, 915], "100": [4, 5, 6, 7, 8, 9, 11, 12, 26, 27, 41, 42, 56, 57, 71, 72, 87, 88, 89, 95, 271, 277, 278, 437, 440, 441, 442, 451, 452, 458, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 826, 854, 907, 911, 912, 913, 914, 915], "1000": [3, 4, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 89, 95, 250, 251, 252, 271, 446, 475, 492, 510, 516, 527, 532, 543, 548, 558, 575, 592, 609, 627, 644, 674, 692, 697, 708, 713, 723, 753, 797, 802, 813, 826, 827, 854, 855, 895, 911, 914], "100e": 914, "101": 434, "102": [433, 510, 527, 543, 692, 708, 797, 813, 826, 854], "1022": 914, "102216": [], "10290": 907, "102e": 912, "103": 914, "10315": 907, "103402": 911, "103522": 911, "10481468": [], "105": 914, "105644": 3, "105762": 3, "10596": 914, "105e": 914, "106780": 914, "107e": 915, "1080": 10, "1081": 10, "109": 434, "1097": [249, 251], "109e": [912, 915], "11": [3, 96, 271, 282, 287, 290, 433, 434, 907, 911, 912, 913, 914, 915], "110": 907, "110848": 913, "1109": [3, 434], "111": 434, "112": 911, "112090": [], "112205": 913, "11237289": [], "1126": [249, 251], "113": [434, 912], "113307": [], "113e": [], "114": [433, 434], "1141": 1, "114497": 913, "115": 3, "115886": 913, "11596413": 911, "116": 271, "1164": 1, "117": [912, 914], "117691": [], "118124": 913, "1186": 434, "119": 282, "1194": 434, "119545": 913, "11e": 434, "12": [3, 4, 9, 87, 88, 97, 271, 275, 276, 277, 278, 279, 282, 287, 433, 434, 437, 833, 863, 907, 911, 912, 913, 914, 915], "120": [271, 278], "120028836": 10, "1204": 434, "1219": 914, "121e": 915, "122126": 3, "122396": [], "122408": 914, "122509": [], "1227": [275, 278], "123246": [], "1233": 912, "1234": [5, 6, 7, 8, 9, 451], "1237": [249, 252, 912], "124": [912, 914], "1244": 434, "124684": 915, "125": 914, "126": 914, "1265": 915, "127122": 911, "128": 914, "12818176": 911, "1282": [249, 252], "129129894": 914, "129620": 3, "13": [3, 248, 271, 430, 433, 434, 911, 913, 914], "130": [434, 914], "130000": [3, 434], "131": 911, "1317": [], "132e": 914, "133": 912, "133e": [], "134274": 911, "1345": 914, "13456": 914, "13495": 914, "134e": 912, "1356": 278, "1359": 911, "136": 911, "13608": 914, "1363": 434, "13641": 914, "13655": 914, "13688": 914, "136e": 912, "137": 914, "1370": 279, "1373": 911, "13829": 914, "13869": 914, "13881": 914, "139": 914, "13907": 914, "139475": 911, "14": [3, 88, 271, 433, 434, 455, 907, 911, 912, 913, 914, 915], "140": [271, 912], "140000": [3, 434], "140e": [907, 911], "1425": 911, "143": [282, 911, 914], "1431": [], "144": 271, "145e": 914, "146083": 434, "147": [277, 280, 912], "1473": 277, "148": 912, "148123": [], "148534": 88, "148651": [], "148e": 915, "149": 914, "149e": 914, "15": [3, 278, 280, 433, 434, 911, 913, 914], "150688": 911, "151": 911, "1511835327055": 914, "151187114983": 914, "151761": [], "151874": [], "152": 912, "153": [912, 914], "154": 914, "1547": 914, "154e": 914, "155": [907, 914], "156": 912, "1560": 455, "156e": 914, "157": 912, "157e": 914, "158": 912, "158148": 915, "15827407": [], "159": [277, 280, 911], "16": [3, 271, 433, 434, 907, 911, 912, 913, 914, 915], "160": 271, "160282": [], "161e": 915, "163": 907, "163e": 914, "16403": 915, "16436": 915, "165": 290, "166": [434, 915], "166759": 3, "167": [275, 278, 911], "16804": 913, "1696": 434, "17": [3, 5, 433, 434, 911, 913, 914], "1707": 914, "171": [1, 271], "1715": 914, "17165": 913, "172": 912, "1721": 914, "174": 911, "174416": 3, "175": [], "176864": 913, "176e": 915, "178": 277, "178521515934": 914, "178598": 914, "178617397159": 914, "178691": 913, "17896": 914, "179": [], "17916": 914, "17919": 914, "1798": 914, "18": [3, 248, 434, 510, 527, 543, 692, 708, 797, 813, 911, 913, 914], "180": 271, "180162": 913, "180e": [911, 912], "181465": 911, "18165": 914, "182043": 913, "182345": 911, "182799": [], "1831": 914, "183441": 913, "1838": 914, "183e": 907, "184": [911, 912], "184327": 911, "185": [1, 433, 911], "185374": 913, "185e": 914, "186541": 914, "187": 911, "188": 912, "188488": 3, "189": [1, 912], "189201902": 914, "19": [1, 3, 276, 434, 510, 527, 543, 664, 692, 708, 743, 773, 786, 797, 813, 826, 854, 881, 911, 912, 913, 914], "190": [912, 914], "19022239": 911, "190980": [], "191132": [3, 434], "1919": 430, "192": [], "1921": 914, "193": 290, "1932": 912, "1935": 912, "1936": 912, "194": 434, "194378": 911, "1945": [510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855], "19450863": 3, "195": 271, "1951": [4, 87, 88], "1954": 914, "1959": 914, "1972": [664, 743, 773, 786, 881], "198341": 3, "1987": [1, 278], "1988": [278, 914], "198880": 3, "1989": [277, 280, 287], "1990": [287, 290], "1991": [277, 281], "1992": [277, 280, 282, 284], "1993": 284, "1994": [1, 9, 275, 277, 278, 281, 456], "1996": [1, 276], "1997": [1, 279], "1998": 277, "1999": [1, 915], "199979": 911, "1d": [89, 915], "1t": [282, 287], "2": [3, 4, 5, 6, 8, 9, 10, 11, 14, 26, 29, 41, 44, 48, 56, 59, 71, 74, 87, 91, 98, 106, 107, 109, 110, 112, 249, 250, 251, 271, 275, 276, 277, 278, 279, 280, 284, 286, 287, 288, 290, 375, 394, 433, 434, 437, 439, 440, 444, 445, 446, 448, 450, 451, 452, 453, 455, 485, 502, 504, 510, 516, 521, 527, 532, 537, 543, 568, 585, 602, 620, 637, 654, 660, 684, 686, 692, 697, 702, 708, 713, 733, 739, 763, 769, 782, 791, 797, 807, 813, 822, 824, 826, 827, 846, 848, 854, 855, 905, 907, 908, 911, 912, 913, 914, 915], "20": [3, 87, 271, 433, 434, 911, 913, 914, 915], "200": [3, 7, 271, 516, 532, 697, 713, 914], "2000": [1, 7, 249, 251, 270, 437, 451, 510, 527, 543, 692, 708, 797, 813, 827, 855, 907], "2004": [10, 277, 280], "2005": [249, 251, 252, 270, 433], "200559": 911, "2006": [1, 455, 914], "2007": [96, 276], "2008": [433, 915], "2009": [10, 433, 437, 913], "200e": 914, "2010": [275, 278, 279, 437, 913], "2011": [1, 249, 250, 270, 275, 913], "2013": [437, 453], "2014": [4, 87, 88, 430, 437, 907], "2015": 280, "2016": [907, 913], "2017": [913, 915], "2018": [453, 913, 914], "201886": 911, "2019": 915, "202": 914, "2020": 279, "2021": [248, 510, 527, 543, 692, 708, 797, 813], "20210301": 911, "2022": 278, "2024": [434, 911, 912, 914, 915], "203002130782": 914, "203533": [], "203893": 915, "206": 434, "206555": [3, 434], "206572": [], "207": 914, "2075": 277, "208": 914, "209": [], "21": [3, 287, 290, 430, 434, 911, 913], "2111": 275, "211281": 914, "2117": 914, "212": 1, "212974": 911, "213": 914, "217": 912, "218": 912, "218e": 914, "219": 434, "219401": [], "2195": 911, "22": [3, 282, 287, 290, 434, 441, 450, 451, 453, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 827, 855, 907, 912, 913, 915], "220": [3, 271], "2202": 914, "2208": 915, "220e": [907, 914], "2229": 434, "222e": 914, "224722": 3, "225": 287, "2251": 915, "2267": 912, "226e": 914, "227": [912, 914], "2280": 914, "229": 911, "23": [10, 249, 251, 434, 912], "230": [434, 914], "230000": [3, 434], "23021183": [], "232": 915, "2320": 915, "232286": 911, "2323": 911, "2326": 915, "233": 912, "233426": [], "233598": 911, "234": 911, "2344": 915, "23456": 271, "2349": [], "234e": 914, "235": [911, 914], "2355": 912, "2357": 912, "236": 911, "237": 271, "237e": 911, "24": [437, 907, 911], "240": 271, "24105141": 907, "241e": 914, "242": 914, "242438": [], "248": 287, "248537": 911, "25": [3, 96, 434, 446, 448, 912, 913, 914], "250": [271, 510, 527, 543, 692, 708, 797, 813, 827, 855, 911, 912, 915], "2500": [3, 271], "251": 280, "251145": 913, "252": [833, 863, 912, 915], "2520": [833, 863], "253377": [3, 434], "253453": 913, "2538": 914, "254": 912, "254050": 913, "254060": [], "255468": 914, "255806977215": 912, "255e": 912, "256401": 913, "256936": 913, "25786933": 911, "258": 914, "259332": 913, "26": [437, 911, 913, 914], "260": [271, 912, 914], "260000": 3, "260791": 911, "260e": [907, 914], "262": [434, 912], "263": 271, "263492": [], "264": [271, 912], "264658": 911, "266262": [], "266e": 914, "269873": 911, "27": [284, 433, 437, 913], "270": [271, 280], "270020": 915, "27068516": [], "271": 914, "27181596": 911, "272171": 911, "273": [], "273454": [], "27377076": 911, "273945": 88, "274220": [3, 434], "275": [], "2760": 911, "2765831170655": [913, 914], "276e": 911, "277": 271, "277199": [], "278": 911, "278e": 914, "279": 914, "2794": 911, "28": [10, 434, 437, 907, 911, 912, 913], "280": [271, 434], "280000": [3, 434], "280146": 911, "280e": 914, "281": [271, 915], "28254572": [], "282e": 914, "284833": 914, "284e": 914, "285110045305": 913, "286085": [], "286124": 914, "2870": 277, "2877": [], "2885": 912, "288e": 914, "289069": 911, "29": [3, 95, 434, 437, 913], "290598": 911, "291": 912, "2910": 912, "2912": [], "291887": 3, "2928e": 914, "293e": [], "294": 271, "295": 434, "296": 912, "296464": 911, "296939": 433, "299": 914, "299687": 911, "29989336": 907, "29e": 434, "2_": [381, 437, 445, 907], "2_0": [508, 525, 541, 690, 706, 795, 811], "2_1": 290, "2_t": [437, 440, 907, 914], "2_u": 290, "2g": 10, "2q": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246], "2t": [282, 287], "3": [3, 4, 10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 87, 88, 89, 91, 98, 106, 110, 248, 271, 275, 277, 278, 280, 430, 433, 434, 437, 438, 456, 510, 516, 527, 532, 543, 660, 664, 692, 697, 708, 713, 743, 769, 773, 786, 797, 813, 826, 827, 854, 855, 881, 907, 908, 911, 912, 913, 914, 915], "30": [271, 437, 914], "300": [271, 802], "300e": 914, "301e": 914, "302121": [], "302e": 914, "303725": 914, "304870": 914, "304e": 911, "305960": [], "306": 914, "307": 271, "30761741": 911, "30789544": 911, "308": 912, "30e": 434, "31": [271, 279, 437, 907, 911, 913], "311": 914, "3111209": 911, "312": 271, "312114": 911, "313": 271, "313301": [], "315e": 914, "3168": 914, "316e": 914, "317": [911, 914], "3174": 914, "317500": 3, "32": 433, "320": [271, 912], "320000": [3, 434], "321905": 914, "322": 434, "3228566": 911, "322e": 914, "323e": 912, "324": 271, "325": 271, "3271": 278, "327524": [3, 434], "327857": [], "327e": 914, "328115": [], "328236": [], "328e": 914, "329221": 911, "329565": [], "3299": 914, "330e": 915, "333": 280, "333090": 914, "333989": [], "333e": 914, "334": [271, 914], "335": 278, "33525325": [], "33623444": [], "336579": 911, "33845173251": 913, "338e": 911, "34": [433, 913, 914], "340": 271, "340024e": [], "3417": 914, "342": 271, "344": 912, "344082": [], "344e": 914, "345": [271, 912, 914], "346": 278, "346048": [], "347": 271, "348": 912, "348475": 911, "3486": 912, "348833": [], "348e": [], "349": 911, "349071": 914, "349153": 914, "34994696": [], "35": [3, 434, 456, 912, 913, 914], "350": [271, 914], "350000": [3, 434], "351": 914, "351045": 911, "3516": 907, "351678": 911, "3520": 907, "353e": 912, "354939": [], "355": 914, "35506573": [], "356": [271, 434], "357": [271, 433], "357601": [], "358": 912, "359": [912, 914], "36": [3, 433, 434, 912], "360": [271, 833, 863], "361e": 912, "362872": 911, "362e": 914, "365": [251, 271], "367": [271, 912, 914], "367662": 3, "367745": 911, "368864": [3, 434], "37": [433, 434, 911, 912, 914, 915], "370e": 914, "371e": [], "372": [10, 271], "372811": [], "374": 912, "374401": [], "375": 10, "375235": [], "376": [], "377338": 914, "378036": 911, "378519": 914, "378560": [], "379": 271, "38": [1, 3, 433, 434, 907], "380": [251, 271, 912], "380567": 3, "380e": 914, "381016": 914, "381757": 913, "381e": 914, "3823135": 911, "384016": 911, "384304": [], "384995": [], "384e": 914, "385": 271, "386": [912, 914], "386e": 914, "387330": 911, "3879": 912, "388": 914, "388004": 911, "3881": 912, "388e": 912, "389": 271, "3899": 912, "389900": 3, "39": [271, 433, 907, 912, 914], "3902": 912, "39023359": 907, "39023885": 907, "3907": 912, "390905": 913, "391": [271, 433], "392": 271, "39212288": 907, "3922": 912, "392e": 907, "393": [271, 434], "39444145": [], "394e": 914, "395": 271, "395000": 3, "395148": [], "396": [271, 912], "396233": [], "397": 1, "399": 271, "399032": 911, "399988": 913, "4": [3, 10, 89, 91, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 248, 249, 251, 252, 271, 275, 277, 278, 290, 433, 434, 437, 438, 455, 510, 516, 527, 532, 543, 692, 697, 708, 713, 769, 797, 813, 826, 827, 854, 855, 907, 911, 912, 913, 914, 915], "40": [3, 271, 913], "400": [3, 271], "401": 271, "402": [271, 911], "402483": 913, "403": 271, "404": 271, "406": 271, "407": [271, 914], "407544": 437, "409": 271, "409008": 913, "409382": [], "409912": 915, "409e": 912, "41": [430, 433, 434], "410": 271, "410e": 914, "411": 914, "411486": 913, "412": 271, "412242": [], "412e": 911, "413": 271, "413635": [], "414": [], "4142135623730951": 455, "415": [271, 912, 914], "415616": 437, "415842": [], "416": 271, "416653": 907, "417": 271, "417964": 913, "418": 271, "4180": 914, "418255226": 3, "418753": [], "418830": [], "419": [], "420": 271, "420425": 913, "420554": 913, "420e": 912, "421": 271, "421528": 437, "421927": [], "422848": 437, "424599": 911, "425": [271, 434], "426": 271, "427": 271, "428": 271, "428311": 914, "428416": 913, "429115": 3, "429301": 913, "429429": 913, "429664": 3, "429791": [], "43": 434, "430": 271, "430000": [3, 434], "430024": 437, "430246": 437, "430951": [], "431": 271, "432": 271, "433": 271, "434": 271, "435617": 911, "436": [113, 271], "436563": 911, "437236": 913, "438115": 913, "438242": 913, "439": 271, "439451": 437, "439856": 437, "43e": 434, "44": [434, 912], "440": 271, "441": 271, "441247": [], "442388": 3, "442891": 88, "442e": 915, "443": 271, "444": 914, "445": 271, "44519064": 911, "445994": 913, "446": [271, 914], "4462204215": 912, "446993": 913, "446e": 914, "447": 914, "447054": 437, "448": [271, 430], "448282": 437, "449": 271, "449e": 912, "45": [271, 433, 907, 912, 914], "450": 271, "451": 271, "451724": 913, "452": 271, "452e": [], "453": [249, 250, 271], "454": [271, 433, 912], "4545": 912, "454575": 3, "454691": 913, "454875": 437, "455": 271, "455084": 3, "455254": [], "4555": 913, "455683": 913, "457": 271, "4571": 912, "457299": 911, "457368": 437, "457676": 914, "4578": 913, "458e": 914, "459": [271, 911], "45983758": [], "46": [111, 433, 434, 914], "460": 271, "460000": [3, 434], "460381": 913, "460672": [], "461": 271, "461913": [], "462": 271, "462167": 437, "463326": 913, "463e": 912, "464": [434, 911], "465": 271, "4658": 911, "466": 271, "466087": 3, "46627971": 911, "467": 271, "467515": 437, "468": 433, "468314": 911, "4687": 911, "468976": 913, "47": [3, 433], "470": 271, "471": 271, "471040": 3, "4711": [], "471e": 911, "472": 271, "473": 271, "474": 271, "4740": [], "474691": 437, "474858": 911, "475": [271, 914], "47531817": 907, "475632": 437, "475e": 914, "476": 271, "476e": 915, "477417": [], "477512": 913, "478": 271, "48": [433, 912], "480": 271, "480416": 437, "481": 271, "482352": [3, 434], "483": 277, "483664": 437, "484": 271, "484836": 911, "485": 271, "48500": 3, "485318": 911, "485987": 913, "486701": 913, "486e": 914, "487": [271, 914], "487e": 907, "488": [271, 912], "489": 271, "489202": [], "489441": 911, "489534": 437, "490": 271, "490e": 914, "491": 271, "491932": 437, "492": [271, 912], "493269": [], "493430": [], "494": 271, "495": [271, 914], "495087": 88, "495875": 437, "496611626368": 913, "497": [249, 250], "49723719": 3, "498": 271, "499": 271, "4f": [275, 276, 277, 278, 279], "5": [3, 4, 5, 6, 8, 9, 10, 91, 110, 249, 251, 271, 277, 278, 402, 419, 430, 433, 434, 437, 439, 441, 444, 449, 450, 451, 454, 456, 457, 510, 516, 527, 532, 543, 666, 668, 692, 697, 708, 713, 722, 745, 775, 788, 797, 813, 827, 855, 883, 907, 911, 912, 913, 914, 915], "50": [3, 271, 434, 912, 914], "500": [4, 5, 6, 7, 8, 9, 87, 88, 271, 437, 479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 818, 899, 911, 913], "500834": 914, "501122": 437, "502": 277, "502419": 437, "5029": [914, 915], "5030": [914, 915], "504": [], "505238": [], "505400": 911, "505e": 914, "507": 912, "507739": 914, "507e": 912, "508540": 88, "508928": 911, "509": [], "509194": 437, "50930572": [], "51": 914, "510179": [], "510e": [], "511": 912, "512e": 914, "513": [912, 914], "513621": 913, "514": 912, "5141": 907, "5142": 907, "5143": 907, "514522": 911, "5146": 907, "5152": 907, "515452": 915, "5156": 907, "515793": 911, "5159": 907, "516": 434, "516536": 3, "517549": 914, "518614": 437, "519": 912, "52": [277, 433, 833, 863, 907, 911, 914], "520": 3, "520e": 911, "521599": [], "522731e": 3, "523e": 907, "525": [], "525e": 914, "526": 914, "5281": 248, "528771": 915, "529": 914, "53": [10, 433, 912], "530200": 914, "530906": 915, "531": 433, "534729": [], "534e": 914, "54": [3, 111, 277], "540491": 911, "540887": 913, "541": [912, 914], "542506": 915, "542658": 915, "542e": [], "543268": [], "543e": 914, "544653": [], "546183": 915, "546914": 914, "548706": 911, "549": 915, "55": 278, "553": 434, "554": 912, "554e": 907, "555688": 915, "557649": 915, "5579": 912, "5584": 912, "559099": 911, "559684": 915, "560000": [3, 434], "5602": 912, "561282": 915, "561312": 915, "561457": 914, "561637": 88, "564": 113, "565514": 913, "565684": 913, "567": 914, "567086": 915, "567297": 915, "568502": 913, "569": 907, "57": [1, 433, 434, 914], "570280": 915, "570e": 914, "571283": 911, "572212": 913, "572369": 913, "572616": 915, "57477582": 911, "574996": [], "575020": 913, "575065": 913, "576208": 915, "577": 911, "578": 912, "578869": 913, "5789": 912, "578e": 914, "579014": 913, "58": 434, "580": 3, "580070": [], "580434": 915, "580907": [], "581639": 913, "581756": 913, "581e": 907, "582": [434, 911], "582141": 3, "582153": 915, "582e": [], "58323938": 907, "583415": 915, "584684": 911, "585426": 915, "586e": 434, "587": 3, "587410": 915, "587439": [], "587470": 914, "587494": [], "588217": 913, "588406": 913, "589e": 912, "59": [277, 434, 912], "590091": 911, "590961": 915, "591": [], "592232": 911, "592296": 911, "592e": 914, "593254": 248, "593e": 914, "594855": 915, "595": [], "595274": [], "595551": 915, "596161": [], "596301": 915, "596394": [], "59647": 913, "596837": 915, "597387": 915, "597571": 915, "597e": 912, "599455": 915, "599561": 913, "599963": 913, "6": [3, 4, 91, 110, 271, 433, 434, 451, 826, 854, 907, 911, 912, 913, 914, 915], "60": [271, 434, 907, 914], "600109": 913, "600417": 913, "600e": 914, "601": 433, "601e": 914, "602034": 915, "604159": [], "605136": 915, "605543": 915, "605e": 914, "606051": 913, "606438": 913, "606595": 913, "606877": 911, "606893": 913, "606e": 907, "607153": 911, "607e": 912, "608": [], "608309": 913, "608487": 915, "608558": 913, "60962017": [], "61": [277, 912, 914], "610000": [3, 434], "610493": 915, "611026": 915, "611163": [], "611352": 915, "611371": 911, "612501": 913, "612874": 913, "612e": 914, "613040": 913, "613065": 915, "613329": 913, "613940": 915, "614748": 913, "614982": 913, "615314": 913, "615690": 911, "616488": 915, "616836": 914, "616e": 912, "617539": 915, "619": [1, 911], "619195": 915, "619957": 915, "620": 912, "621": 914, "621148": 913, "621366": 913, "621743": 913, "621790": 915, "621835": 915, "621971": 3, "622": 912, "622224": 915, "623295": 915, "625699": 915, "625e": 912, "628": 914, "628133": 913, "628257": 915, "629195": 915, "629696": 913, "629890": 913, "63": [913, 914], "630": [434, 914], "630414": 911, "630776": 915, "63090577": 911, "630e": 911, "631": 277, "631723": [], "631900": 911, "6335": 912, "634091": 915, "634205": 915, "634424": 913, "634503": 913, "6358": 914, "635838": 915, "635989": 913, "636180": 915, "636245": 913, "6369": 914, "637110": [], "637129": 914, "637251": 915, "637504": 915, "638180": 915, "638431": 3, "639477": [], "639880": 915, "639e": 911, "64": [276, 434, 914], "640706": 913, "640776": 913, "6408": 914, "6414": 914, "642": 434, "642244": 913, "642408": 915, "642561": 913, "643916": 914, "644534": 915, "64484999": 913, "644899": 915, "644e": 914, "645237": 915, "646": 914, "646949": 913, "647011": 913, "647817": 915, "647824": 915, "647e": 912, "648": 433, "648288": 915, "649343": 437, "64965918": 913, "649695": 915, "65": [911, 912], "650287": 915, "650317": [], "651549": 915, "653": [277, 912], "653185": 915, "653222": 915, "653897": 915, "654048": 437, "654726e": [], "654862": [], "654894": [], "654e": [], "655": [433, 912], "65536430": 912, "655487": 3, "656397": 915, "656603": 915, "656e": 915, "657": 912, "658858": 915, "659350": 3, "659733": 915, "659946": [3, 434], "66": 453, "660": 3, "6609": 914, "661": 912, "661366": 915, "6632": 914, "663344": 915, "663746": 915, "664": [912, 914], "664055": 437, "664264": [], "665": 434, "665431": 915, "665995": 915, "665e": 914, "666057": 913, "666244": 913, "666e": 914, "667267": 915, "667753": 915, "668181": 915, "668273": 913, "669": 434, "669052": 914, "669529": 911, "669e": 914, "67": [433, 907, 911], "670000": 3, "670223": 915, "671483": 911, "671e": 911, "672146": 913, "6722": 914, "672346": 913, "672656": 915, "672742": 437, "6728": 914, "672e": 914, "673404": 915, "674090": 911, "674146": 911, "675e": 914, "676081": 915, "678": 914, "678197": 913, "678411": 913, "679154": 915, "679322": 3, "679835": 915, "6799": 914, "679974": 911, "68": [249, 251, 913, 914], "680": 914, "681": 912, "681017": [], "681263": 437, "681448": 915, "681510": [], "681705": 911, "6822": [913, 914], "6829": 914, "682919": 911, "682e": 911, "683864": [], "683890": 915, "683e": 914, "684259": [], "6846": 913, "684e": 915, "685": 271, "685911": 915, "686503": 915, "686606": [], "687": 914, "687288": 911, "687952": 915, "6886": [], "689831": 915, "6908": 914, "690e": 914, "691007": [], "691225": 915, "691387": 915, "691471": 3, "692": [271, 914], "692300": 915, "692473212838": 912, "692717": 915, "692e": 912, "693": 912, "69307515": 3, "6936": [913, 914], "69379793": 912, "693e": 915, "69458872": [], "694685": 911, "694735": 913, "694985": 915, "695": [], "695074": 913, "695245": [], "695349": 437, "696": 911, "696865": 911, "6970": [913, 914], "697133": 915, "697221": 915, "697399": 915, "698": 271, "699708": 915, "6z": 106, "7": [3, 8, 271, 277, 280, 433, 434, 907, 911, 912, 913, 914, 915], "70": [10, 271], "700000": [3, 434], "700559": 915, "700656": 913, "700787": [], "701042": 913, "702": 914, "702488": 437, "703": 278, "7030": [], "7033": 911, "705": 456, "706124": 915, "706541": 913, "706812": 437, "706974": 913, "707203": 915, "707707": 915, "708": 278, "7091": 912, "709403": 911, "709956": 913, "70e": 434, "710": 907, "710453": 913, "710752": 915, "711": 911, "71329752255": 913, "713342": 437, "7135083370713": 912, "7136": [], "71384095": 911, "714732": [], "715": 914, "715791": 913, "716061": [], "716315": 913, "717701": 915, "718476988985": [913, 914], "718477482658": [913, 914], "718560": 915, "719": [911, 914], "719376": 915, "72": 914, "720": [], "721505": 915, "721591": 913, "721629": 437, "7217": 912, "722142": 913, "722954": 915, "723080": 911, "723261": [], "723352": 913, "723950": 915, "723e": [], "725": 912, "726": [911, 912, 914], "726708": 911, "727": 434, "729435": 88, "729465": 915, "73": [249, 252, 907], "730": 456, "730000": [3, 434], "730108": [], "731423": [], "732314": [], "732475": 915, "733e": 912, "734322": 915, "735752": 3, "735982": 911, "736": 911, "736509": 913, "737": [], "737154": 913, "737691": 3, "738": 914, "738150": 911, "739303": 437, "74": [434, 912], "740000": [3, 434], "741100": 437, "741110": 911, "741206": 915, "7415": 911, "741e": 914, "742193": 913, "742908": 913, "743119": 915, "744141": [], "744529": 437, "745202": 915, "745423": 915, "746940": 437, "747842": 913, "748": 914, "748627": 913, "75": [3, 278, 434, 911, 913, 915], "750169": 915, "751": [], "751022": [], "7515": [], "751723": 913, "751747": 913, "751e": 914, "752688": 437, "755": 911, "755103": [], "755e": 911, "756": 914, "757321": 913, "757343": 913, "757398": 915, "758859": 911, "758891": 915, "759": 911, "76": [275, 278, 433, 907, 914], "7611": 276, "762885": 913, "762905": 913, "762935": [], "762e": 914, "763": 914, "764": 911, "765587": 911, "766787": 3, "768801": 911, "769": [434, 914], "769366": [], "771001": 911, "771144": 911, "7726": 911, "773": [], "774e": 912, "775048": 915, "775498": [], "777496": [], "777860": 915, "778258": 911, "778286": 915, "779325": 915, "7796": 912, "779e": 914, "78": [433, 911], "780": 433, "780547": 3, "781e": 912, "782": 912, "782e": 912, "783": 284, "783319": 915, "784e": 911, "785702": [], "786": 434, "787503": [], "787697": 914, "789513": [], "789914": 911, "79": [249, 250, 433, 907, 914], "791": 914, "793593": [], "794e": 914, "796170": [], "799": 914, "7e": 434, "8": [3, 88, 271, 278, 284, 287, 433, 434, 802, 907, 911, 912, 913, 914, 915], "80": 271, "800": [3, 912], "800237": 911, "802": 915, "802e": 914, "804": 912, "806": 911, "806928": 911, "806e": 911, "807807": [], "808": 911, "808237": [], "808521": [], "808667": 911, "809e": 914, "81": [433, 434], "810706": [], "810902": [], "810e": 912, "811486": 915, "812": 1, "812645": 911, "813": 276, "813904": 911, "815125": [], "816280": 915, "816663": 915, "817": 277, "817384": [], "817e": 914, "8196": 915, "82": [1, 915], "820": 284, "820788": 915, "820e": 914, "821112": 915, "823e": 911, "824363": [], "825": 433, "826251": [], "826e": 914, "828094": 911, "828189": 915, "83": [434, 913], "830": 914, "8300": 911, "83130147": [], "831e": 912, "835618": 914, "835709": 3, "836": 276, "837": 433, "837196": 3, "838": [], "83858878": [], "8387": [], "839349": 911, "84": 914, "840": [433, 912], "840369": 915, "840667": 915, "841": 914, "843792": 911, "843e": [], "8446": [], "845656": 915, "8481": [], "849680": 915, "85": 907, "8500": 914, "850000": [3, 434], "851104": 915, "85155627": [], "852": 914, "853e": 914, "854e": 914, "855": 912, "855e": 914, "856175": 915, "857": 912, "857640": [], "858": [277, 434, 912, 914], "858034": [], "858808": [], "858870": 914, "858901": [], "859": 912, "86": [434, 911, 912, 914], "860107": 915, "860308": [], "860e": 914, "861": 914, "861451": [], "861830": [], "861e": 915, "86337547": 907, "864": 914, "864591": 915, "8648": 914, "864983": 914, "8655": 911, "865943": 911, "866": 912, "867": 912, "868": 433, "869238": 911, "87": [433, 914], "870000": [3, 434], "873866": 915, "873e": 914, "874696": 915, "874886": 911, "875": 912, "876": 912, "877539": 915, "877788388": 3, "878": 907, "878159": [], "88": 914, "880": 914, "880141": 911, "880198": 3, "882823437632": 913, "883": 914, "883179368218": 913, "885": 914, "8852": 914, "885e": 914, "886": 271, "886221": 915, "886289": 915, "887791": 915, "887e": 914, "888": 915, "888417": 915, "889032": 915, "89": 912, "890002": 915, "890355": [], "891": 914, "891813e": 3, "8922": 914, "892380934": 914, "892e": 907, "893986": 915, "893e": 914, "894": 912, "894397": 915, "895": 914, "895559": 915, "895773": [], "898": 434, "898202": 915, "89916046": 911, "899e": 912, "9": [1, 3, 97, 271, 433, 434, 907, 911, 912, 913, 914, 915], "90": [3, 271, 433, 434, 911, 912, 913, 914, 915], "900": 434, "9014": 907, "9036": 276, "905": 914, "905952": 915, "906": 914, "90767985": [], "908": 271, "909098": 914, "909363": 911, "909436": 911, "9098": 914, "909e": 912, "9100": 915, "912": 914, "912252": [], "9139": 914, "914566": [], "915208": 915, "916169": [], "916252": 911, "9180": 912, "918e": 914, "919351": 3, "919540": 911, "92": [516, 532, 548, 697, 713, 833, 863], "921": 914, "924": 911, "924e": [], "925": [907, 914], "926": 912, "926e": 912, "927950": 914, "927e": [], "928215": 914, "928667": 911, "9287": 912, "928985": 911, "929": 914, "929719": [], "93": [433, 912, 913, 914], "930033": 911, "930291": 912, "930777": 915, "931": 912, "931280": 914, "931439": [], "931769": 433, "932": 915, "932e": [907, 912], "933": 914, "933437": 911, "934": 911, "934e": 914, "936189": 911, "936587": 915, "936e": 914, "937": [], "9376": 912, "938": [], "9381": 912, "9382": 914, "938636": 915, "938708": 915, "938e": 914, "939": 433, "939124": [], "939250": 911, "94": [276, 445, 914], "940": 912, "943210": 911, "943955": 911, "944": 912, "94446": 3, "945120": 915, "94574": 911, "9470515573437": 912, "9470521680555": 912, "948e": 914, "949": 911, "95": [4, 14, 29, 44, 59, 74, 433, 907, 911, 912, 914, 915], "951361": [], "95222892": [], "952751": 913, "9527543235638": 912, "952838": 911, "954167": 913, "9549": 914, "955295": 915, "956620": 911, "957245": 913, "957266": 915, "958": [], "958215": 915, "958503": 3, "958725": 913, "958876": 3, "96": [434, 911, 912, 914], "961161": 911, "961424": 915, "961713": 913, "962": 433, "962384": 911, "963255": 913, "965260": [], "965540": 915, "96573609": 911, "966432": 915, "966737": 915, "969": [], "97": [430, 434, 914], "970000": [3, 434], "970364": [], "970796": 915, "974": 271, "974248": 915, "9746": [], "97485": 911, "975": [271, 434], "975692": 911, "976": 911, "976673": 911, "977504": 915, "9809": 911, "981": 914, "982202": 915, "984636": 911, "9890437": 914, "9892": [], "989657335": 3, "989e": 914, "990": 911, "990311": 911, "990e": 914, "991": [911, 914], "992": 911, "992547": 915, "993": 911, "994": [911, 912], "994375": 911, "9946": 911, "995": [271, 911], "995165345449": 914, "995e": [911, 914], "996": 911, "997": 911, "998": 911, "9986": 912, "999": 911, "9cb2d6": 913, "A": [1, 3, 4, 10, 23, 38, 53, 68, 83, 86, 87, 89, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 249, 250, 251, 270, 276, 277, 278, 279, 280, 284, 287, 379, 398, 433, 434, 436, 437, 440, 441, 450, 451, 453, 473, 491, 508, 510, 525, 527, 541, 543, 557, 574, 591, 608, 626, 643, 658, 673, 690, 692, 706, 708, 722, 737, 752, 767, 780, 795, 797, 811, 813, 826, 854, 875, 894, 907, 912, 914, 915, 916, 917], "As": [510, 527, 543, 692, 708, 797, 813, 915], "At": 89, "Be": 913, "By": [434, 437], "For": [89, 248, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 914, 915], "If": [5, 6, 7, 8, 9, 20, 23, 35, 38, 50, 53, 65, 68, 80, 83, 95, 96, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 275, 276, 277, 278, 279, 280, 284, 290, 367, 375, 381, 390, 394, 415, 437, 438, 440, 441, 442, 447, 449, 451, 452, 454, 456, 457, 458, 463, 475, 486, 492, 503, 508, 510, 516, 525, 527, 532, 541, 543, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 690, 692, 697, 706, 708, 713, 723, 734, 753, 764, 795, 797, 811, 813, 823, 826, 827, 833, 847, 854, 855, 863, 868, 895, 906, 907, 911, 913], "In": [4, 89, 91, 98, 250, 251, 252, 271, 430, 433, 437, 438, 444, 446, 448, 450, 453, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 827, 854, 855, 907, 908, 911, 912, 914, 915], "It": [90, 95, 270, 271, 375, 394, 434, 451, 911, 915], "No": [275, 278, 280, 282, 284, 286, 287, 288, 289, 290, 430, 433, 434, 664, 743, 773, 786, 881, 907, 911, 912, 913, 914, 915], "Not": [437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 908], "One": [14, 29, 44, 59, 74, 434, 437], "That": [271, 913], "The": [1, 2, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 16, 18, 25, 27, 28, 29, 30, 31, 33, 40, 42, 43, 44, 45, 46, 48, 55, 57, 58, 59, 60, 61, 63, 70, 72, 73, 74, 75, 76, 78, 85, 88, 89, 90, 92, 95, 96, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 119, 120, 121, 122, 123, 124, 125, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141, 143, 144, 145, 146, 147, 148, 149, 151, 153, 154, 155, 156, 157, 158, 159, 161, 163, 164, 165, 166, 167, 168, 169, 171, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 189, 191, 193, 194, 195, 196, 197, 198, 199, 201, 203, 204, 205, 206, 207, 208, 209, 211, 213, 214, 215, 216, 217, 218, 219, 221, 223, 224, 225, 226, 227, 228, 229, 231, 233, 234, 235, 236, 237, 238, 239, 241, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 270, 275, 276, 277, 278, 279, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 295, 296, 299, 304, 308, 309, 312, 317, 320, 321, 323, 328, 331, 332, 334, 335, 341, 345, 346, 350, 354, 356, 359, 360, 362, 367, 368, 369, 370, 372, 374, 375, 376, 377, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 403, 404, 405, 407, 408, 409, 410, 411, 412, 414, 415, 416, 418, 420, 423, 424, 425, 426, 427, 429, 430, 432, 433, 434, 437, 439, 440, 441, 442, 445, 446, 448, 451, 452, 455, 456, 458, 460, 463, 465, 471, 474, 475, 476, 477, 479, 483, 486, 492, 493, 494, 496, 500, 503, 510, 511, 512, 527, 528, 543, 544, 558, 559, 560, 562, 566, 569, 575, 576, 577, 579, 583, 586, 592, 593, 594, 596, 600, 603, 609, 610, 611, 613, 618, 621, 627, 628, 629, 631, 635, 638, 644, 645, 646, 648, 652, 655, 659, 660, 662, 664, 666, 674, 675, 676, 678, 682, 685, 692, 693, 708, 709, 723, 724, 725, 727, 731, 734, 738, 739, 741, 743, 745, 747, 753, 754, 755, 757, 761, 764, 768, 769, 771, 773, 775, 781, 782, 784, 786, 788, 797, 798, 813, 814, 825, 826, 827, 841, 844, 849, 854, 855, 868, 876, 879, 881, 883, 885, 887, 888, 889, 895, 896, 897, 899, 903, 906, 907, 911, 912, 913, 914, 915, 916, 917], "Then": 3, "There": [271, 434, 548, 802, 908, 911, 914], "These": [3, 89, 272, 433, 434, 437, 485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905, 911, 912, 913, 914, 915], "To": [5, 6, 7, 8, 9, 433, 435], "Will": 95, "_": [4, 282, 284, 287, 290, 375, 381, 394, 437, 451, 911], "_1": 287, "_2": 282, "__future__": [95, 97], "__init__": [465, 915], "_b": 4, "_i": 10, "_r": 915, "_shock": 915, "_t": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 287, 290, 375, 394, 437], "_u": 290, "_z": 290, "aaa": [430, 434], "ab": [446, 448, 911], "abd": 275, "abil": [95, 249, 251], "about": [14, 29, 44, 59, 74, 277, 278, 279, 510, 527, 543, 692, 708, 797, 813, 860, 913, 914], "abov": [3, 89, 271, 275, 276, 277, 278, 290, 433, 915], "absolut": [271, 914], "abstract": [139, 143, 147, 459, 465, 467, 813, 816, 817, 818, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 892, 893, 894, 898, 899, 901], "acceler": [14, 29, 44, 59, 74], "accept": [3, 89, 94, 96, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "access": [5, 6, 7, 8, 9, 260, 271, 434, 914], "accessibli": [5, 6, 7, 8, 9], "accommod": [510, 527, 543, 692, 708, 797, 813, 826, 854], "accord": 453, "account": [89, 270, 278, 295, 308, 320, 331, 345, 359, 367, 375, 381, 394, 415, 911], "accur": [4, 911], "accuraci": 4, "acf": 434, "across": [3, 7, 14, 29, 44, 59, 74, 271, 434, 437], "act": 915, "activ": 265, "actual": [89, 271, 437, 911, 913], "actual_x_oo": 911, "ad": [14, 29, 44, 59, 74, 92, 93, 94, 95, 96, 97, 510, 527, 543, 692, 708, 797, 813, 826, 854, 914, 917], "add": [93, 96, 271, 914], "addit": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 248, 278, 434, 479, 496, 562, 579, 596, 613, 631, 648, 678, 727, 757, 899, 913, 914], "addition": [434, 437], "adequ": 914, "adf": [95, 276, 277, 278, 280, 286, 289, 290, 311, 411, 430, 432, 433, 434], "adj": [4, 87, 88, 434, 437, 440, 907, 911, 912, 913, 914, 915], "adjac": 455, "adjust": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 285, 367, 377, 381, 396, 415, 867], "administr": 433, "admiss": 3, "admit": 3, "adopt": 97, "advanc": 287, "advantag": [437, 915], "affect": [95, 96, 97, 282, 287, 290, 433, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855], "after": [5, 6, 7, 8, 9, 95, 96, 437, 510, 527, 543, 692, 708, 797, 813, 911, 913], "against": [91, 98, 277, 280, 509, 526, 542, 691, 707, 796, 812], "agre": [433, 434], "ahead": [437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 913], "aic": [275, 276, 280, 284, 289, 434, 907, 911, 912, 914, 915], "aim": 908, "akaik": [275, 276, 280, 284, 822, 846], "al": [277, 664, 743, 773, 786, 881], "algorithm": [10, 275, 280, 917], "alia": 273, "align": [437, 461, 510, 527, 543, 692, 708, 797, 813, 825, 826, 841, 849, 854, 913], "all": [2, 3, 4, 7, 10, 14, 29, 44, 59, 74, 87, 88, 95, 96, 99, 251, 271, 279, 280, 284, 381, 385, 398, 430, 432, 433, 434, 436, 437, 438, 440, 441, 443, 450, 451, 459, 465, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 908, 909, 910, 911, 913, 914, 915, 917], "allow": [3, 4, 7, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 94, 95, 96, 270, 271, 272, 275, 279, 434, 447, 467, 509, 526, 542, 691, 707, 796, 812, 908, 911, 914, 915, 917], "almost": 915, "along": [913, 914], "alpha": [4, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 290, 433, 437, 453, 722, 850, 907, 911, 912, 913, 914, 915], "alpha_": [438, 439, 444, 448, 450], "alreadi": 913, "also": [3, 89, 90, 96, 270, 271, 277, 280, 434, 911, 913, 914], "alter": 434, "altern": [3, 14, 29, 44, 59, 74, 88, 94, 100, 104, 105, 251, 252, 270, 275, 276, 277, 278, 286, 288, 291, 304, 317, 328, 341, 356, 400, 416, 430, 432, 433, 434, 451, 510, 515, 527, 531, 543, 547, 692, 696, 708, 712, 797, 801, 813, 817, 826, 827, 854, 855, 907, 911, 914, 916], "although": [4, 89, 271, 433, 434, 437, 446, 448, 911, 914], "alwai": [87, 259, 271, 434, 437, 911, 915], "am": [437, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 907, 913, 914], "american": 1, "amount": [271, 437], "an": [1, 3, 4, 5, 6, 7, 8, 9, 12, 14, 27, 29, 42, 44, 57, 59, 72, 74, 88, 89, 90, 95, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242, 250, 251, 252, 269, 270, 271, 276, 277, 279, 280, 284, 289, 290, 367, 381, 415, 432, 433, 434, 436, 437, 441, 449, 450, 453, 454, 456, 457, 460, 461, 462, 463, 472, 490, 509, 510, 516, 526, 527, 532, 542, 543, 548, 556, 573, 590, 607, 625, 642, 672, 691, 692, 697, 707, 708, 713, 721, 751, 796, 797, 802, 812, 813, 826, 827, 833, 854, 855, 863, 893, 907, 912, 913, 914, 915], "analys": 432, "analysi": [3, 248, 275, 278], "analyt": [4, 14, 29, 44, 59, 74, 88, 273, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 910, 915], "andrew": [10, 95, 110, 277, 279, 280, 281, 432], "ani": [3, 5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 36, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 57, 59, 60, 62, 63, 66, 67, 68, 69, 70, 71, 72, 74, 75, 77, 78, 81, 82, 83, 84, 85, 102, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 258, 259, 264, 265, 268, 271, 273, 278, 284, 290, 367, 375, 381, 394, 415, 430, 434, 437, 440, 441, 447, 451, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 510, 515, 516, 517, 522, 523, 525, 527, 531, 532, 533, 538, 539, 541, 543, 547, 548, 549, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 692, 696, 697, 698, 703, 704, 706, 708, 712, 713, 714, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 774, 776, 777, 778, 779, 780, 782, 787, 789, 790, 792, 793, 795, 797, 801, 802, 803, 808, 809, 811, 813, 817, 819, 825, 826, 834, 835, 842, 843, 844, 845, 849, 854, 865, 870, 873, 874, 875, 877, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 907, 911, 913, 914, 915], "ann_infl": 914, "annual": [3, 4, 87, 833, 863, 914, 915], "anoth": 915, "anyarrai": 273, "anypanda": 273, "anyth": 290, "aparch": [95, 907], "api": [3, 271, 275, 276, 277, 278, 434], "appear": [3, 95, 275, 276, 277, 278, 282, 287, 432, 433, 434, 440, 911, 914], "append": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 271, 911, 913], "appli": [3, 87, 95, 281, 469, 488, 508, 525, 541, 554, 571, 588, 605, 623, 640, 670, 690, 706, 719, 749, 795, 811, 868, 891], "applic": [1, 88, 89, 271, 279, 459, 907, 908, 915], "approach": [433, 911, 915], "appropri": [3, 4, 7, 14, 29, 44, 59, 74, 86, 250, 251, 252, 469, 488, 554, 571, 588, 605, 623, 640, 670, 719, 749, 891], "approxim": [14, 29, 44, 59, 74, 275, 278, 280, 284, 468, 469, 470, 481, 485, 487, 488, 489, 498, 502, 553, 554, 555, 564, 568, 570, 571, 572, 581, 585, 587, 588, 589, 598, 602, 604, 605, 606, 615, 617, 620, 622, 623, 624, 633, 637, 639, 640, 641, 650, 654, 669, 670, 671, 680, 684, 718, 719, 720, 729, 733, 748, 749, 750, 759, 763, 890, 891, 892, 901, 905], "ar": [3, 4, 7, 10, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 89, 90, 95, 96, 97, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 248, 250, 251, 252, 254, 255, 259, 270, 271, 272, 275, 276, 277, 278, 279, 280, 282, 284, 287, 289, 290, 334, 337, 367, 381, 415, 430, 432, 433, 434, 437, 438, 440, 441, 444, 446, 448, 450, 451, 455, 459, 465, 467, 473, 475, 485, 491, 492, 502, 508, 509, 510, 516, 525, 526, 527, 532, 541, 542, 543, 557, 558, 568, 574, 575, 585, 591, 592, 602, 608, 609, 620, 626, 627, 637, 643, 644, 654, 660, 673, 674, 684, 690, 691, 692, 697, 706, 707, 708, 713, 722, 723, 733, 739, 752, 753, 763, 769, 782, 795, 796, 797, 802, 811, 812, 813, 825, 826, 827, 833, 849, 854, 855, 863, 872, 877, 894, 895, 905, 907, 908, 909, 911, 912, 913, 914, 915, 917], "arang": [12, 27, 42, 57, 72, 89, 911, 913, 915], "arbitrag": 433, "arbitrari": [3, 448], "arch": [3, 4, 87, 88, 89, 92, 93, 94, 95, 96, 97, 248, 270, 271, 273, 430, 433, 434, 436, 437, 910, 911, 912, 913, 915, 916], "arch_lm_test": 95, "arch_model": [95, 96, 437, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 907, 910, 911, 913, 914, 915], "arch_no_binari": 96, "archinmean": [96, 917], "archmodel": [460, 463, 829, 857, 907, 908], "archmodelfixedresult": [509, 526, 542, 691, 707, 796, 812, 909], "archmodelforecast": [437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913], "archmodelforecastsimul": [839, 913], "archmodelresult": [508, 525, 541, 690, 706, 795, 811, 909, 915], "area": 1, "arg": [4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 25, 26, 28, 29, 30, 40, 41, 43, 44, 45, 55, 56, 58, 59, 60, 70, 71, 73, 74, 75, 85], "argument": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 48, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 89, 95, 96, 250, 251, 252, 449, 454, 456, 457, 667, 746, 776, 789, 884, 914], "aris": 86, "around": [5, 8, 9, 10, 90, 270, 433], "arrai": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 15, 25, 26, 30, 40, 41, 45, 55, 56, 60, 70, 71, 75, 85, 87, 88, 89, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 265, 269, 271, 282, 287, 290, 430, 440, 441, 447, 451, 452, 466, 472, 473, 475, 479, 481, 483, 485, 490, 491, 492, 496, 498, 500, 502, 506, 508, 510, 516, 523, 525, 527, 532, 539, 541, 543, 548, 556, 557, 558, 562, 564, 566, 568, 573, 574, 575, 579, 581, 583, 585, 590, 591, 592, 596, 598, 600, 602, 607, 608, 609, 613, 615, 618, 620, 625, 626, 627, 631, 633, 635, 637, 642, 643, 644, 648, 650, 652, 654, 658, 668, 672, 673, 674, 678, 680, 682, 684, 688, 690, 692, 697, 704, 706, 708, 713, 721, 723, 727, 729, 731, 733, 737, 751, 752, 753, 757, 759, 761, 763, 767, 777, 780, 790, 793, 795, 797, 802, 809, 811, 813, 825, 826, 849, 850, 854, 864, 869, 872, 875, 877, 893, 894, 895, 899, 901, 903, 905, 913], "array_forecast": 911, "array_multi_forecast": 911, "arraylik": 273, "arraylike1d": 273, "arraylike2d": 273, "articl": [1, 249], "arx": [907, 911, 914], "as_text": 434, "asarrai": 915, "ask": 271, "aspect": 271, "assembl": [907, 914], "assert": 96, "asset": [833, 863, 914], "associ": [1, 486, 503, 569, 586, 603, 621, 638, 655, 685, 734, 764, 906], "assum": [89, 95, 289, 433, 434, 437, 508, 525, 541, 660, 690, 706, 739, 769, 782, 795, 811, 911, 913, 914, 915], "assumpt": [433, 914, 915], "asym": 453, "asymmetr": [438, 444, 448, 453, 907, 914], "asymmetri": 438, "asymptot": [89, 275, 278, 290], "attach": [437, 659, 666, 738, 745, 768, 775, 781, 788, 876, 883, 913], "attempt": [270, 280, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 913], "attribut": [5, 6, 7, 8, 9, 437, 913, 915], "augment": [93, 275, 289, 290, 404, 430, 432, 433], "auto_bandwidth": [95, 432], "autocorrel": [3, 10, 277, 278, 375, 381, 394, 434], "autocovari": [10, 290], "autolag": [275, 280], "automat": [10, 95, 96, 97, 275, 276, 277, 278, 280, 281, 289, 294, 307, 430, 432, 434, 440, 441, 442, 451, 452, 458, 907], "autoregress": [276, 284, 441, 451, 456, 914], "avail": [5, 6, 7, 8, 9, 271, 275, 277, 278, 434, 437, 447, 465, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 854, 895, 911, 913, 914, 915], "avar": 4, "avarch": 448, "averag": [3, 9, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 271, 437, 445, 451, 455, 914, 915], "avg_model_loss": 271, "avgarch": 448, "ax": [408, 424, 433, 911, 912, 913, 914, 915], "axi": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 271, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 914, 915], "b": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 86, 87, 88, 89, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 271, 277, 278, 287, 437, 456, 473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 722, 737, 752, 767, 769, 780, 793, 809, 875, 894, 915], "b_cb": 10, "b_sb": 10, "ba": 281, "baa": [430, 434], "back": [94, 97, 451], "backcast": [95, 469, 472, 475, 483, 488, 490, 492, 500, 505, 508, 522, 525, 538, 541, 554, 556, 558, 566, 571, 573, 575, 583, 588, 590, 592, 600, 605, 607, 609, 618, 623, 625, 627, 635, 640, 642, 644, 652, 670, 672, 674, 682, 687, 690, 703, 706, 719, 721, 723, 731, 749, 751, 753, 761, 792, 795, 808, 811, 886, 891, 893, 895, 903], "background": [2, 272, 910], "balanc": 433, "band": 10, "bandwidth": [95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115, 118, 119, 122, 123, 125, 128, 129, 132, 133, 139, 142, 143, 146, 147, 149, 152, 153, 156, 157, 159, 162, 163, 166, 167, 169, 172, 173, 176, 177, 179, 182, 183, 186, 187, 189, 192, 193, 196, 197, 199, 202, 203, 206, 207, 209, 212, 213, 216, 217, 219, 222, 223, 226, 227, 229, 232, 233, 236, 237, 239, 242, 243, 246, 247, 281, 290, 367, 381, 415, 432, 433], "bank": 453, "bar": [10, 434, 451], "bartlett": [95, 105, 281, 290, 367, 381, 415, 433], "base": [4, 89, 95, 272, 275, 277, 278, 280, 290, 295, 308, 320, 331, 345, 359, 367, 381, 415, 433, 437, 465, 467, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 777, 790, 795, 796, 797, 907, 910, 913, 915], "bashtag": 248, "basic": [3, 14, 29, 44, 59, 74, 271, 434, 510, 527, 543, 548, 692, 708, 797, 802, 813, 826, 854, 907], "baum": 280, "bayesian": [275, 276, 280, 284, 824, 848], "bb0000": 913, "bb00bb": 913, "bc": [14, 29, 44, 59, 74, 769], "bca": [14, 29, 44, 59, 74, 95], "becaus": 911, "been": [5, 6, 7, 8, 9, 20, 35, 50, 65, 80, 91, 95, 96, 98, 280, 434, 450, 826, 854, 868, 911, 915], "befor": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 260, 276, 434, 508, 525, 541, 690, 706, 795, 811, 868, 915], "begin": [101, 106, 107, 108, 109, 110, 111, 112, 113, 280, 282, 287, 290, 437, 907, 911], "behavior": 95, "being": [3, 95, 259, 270, 289, 433, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "below": [3, 5, 6, 7, 8, 9, 271, 433, 911, 913, 914], "benchmark": [251, 252, 259, 270, 271], "bera": 434, "best": [94, 97, 270, 271, 280], "beta": [89, 271, 282, 284, 287, 289, 290, 433, 437, 446, 907, 911, 912, 914, 915], "beta_": [438, 444, 448], "beta_0": 911, "beta_1": 911, "better": [1, 270, 271, 433], "better_model": 271, "between": [14, 29, 44, 59, 74, 95, 270, 271, 430, 434, 440, 441, 451, 777, 790, 827, 855, 914, 915], "beyond": [4, 915], "bhansen": 456, "bia": [14, 29, 44, 59, 74, 287, 433], "bias": 434, "bic": [275, 276, 280, 284, 289, 434, 907, 911, 912, 914, 915], "big": 95, "bin": [3, 87], "binari": 3, "biometrika": 278, "bit": [433, 911], "bithel": 1, "block": [4, 5, 8, 9, 10, 88, 90, 250, 251, 252, 271, 279, 282, 287, 354, 434, 907, 915], "block_siz": [5, 8, 9, 250, 251, 252], "bm": [270, 271], "bm_beta": 271, "bm_factor": 271, "bm_loss": 271, "bollerslev": [508, 525, 541, 690, 706, 795, 811], "bond": [430, 434], "book": 1, "bool": [14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 251, 252, 265, 273, 275, 276, 279, 283, 284, 285, 290, 343, 347, 349, 367, 381, 398, 415, 438, 440, 441, 442, 447, 451, 452, 453, 458, 459, 460, 461, 463, 471, 484, 501, 505, 508, 510, 522, 525, 527, 538, 541, 543, 567, 584, 601, 619, 636, 653, 660, 683, 687, 690, 692, 703, 706, 708, 732, 739, 762, 769, 782, 792, 795, 797, 808, 811, 813, 823, 826, 847, 854, 877, 904, 907], "boolarrai": 273, "boolean": [265, 508, 525, 541, 690, 706, 795, 811], "bootstrap": [1, 4, 86, 88, 92, 95, 248, 270, 271, 272, 273, 275, 276, 278, 293, 295, 306, 308, 319, 320, 330, 331, 344, 345, 358, 359, 462, 466, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 910], "bootstrapindext": 273, "bootstrp": 915, "boston": 280, "both": [2, 4, 5, 6, 7, 8, 9, 89, 271, 433, 910, 911, 913, 915], "bound": [14, 29, 44, 59, 74, 251, 262, 472, 475, 483, 485, 490, 492, 500, 502, 506, 523, 539, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 664, 672, 674, 682, 684, 688, 704, 721, 723, 731, 733, 743, 751, 753, 761, 763, 773, 786, 793, 809, 881, 893, 895, 903, 905], "break": [280, 433, 434], "brent": 433, "bs_forecast": 915, "bs_path": 915, "bs_x": [5, 6, 7, 8, 9], "bs_y": [5, 6, 7, 8, 9], "bs_z": [5, 6, 7, 8, 9], "bug": [94, 95, 96, 97], "build": [3, 95, 907, 915], "built": [91, 98], "bump": [96, 97], "burn": [479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 818, 899, 911], "busi": [249, 251, 275, 277, 278, 280], "bx": 769, "c": [1, 96, 273, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 430, 433, 434, 465, 660, 769, 911, 913], "c_": 10, "c_i": 10, "c_k": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246], "cach": [96, 97], "calcul": [12, 27, 42, 57, 72, 95, 115, 119, 120, 125, 129, 130, 139, 143, 144, 149, 153, 154, 159, 163, 164, 169, 173, 174, 179, 183, 184, 189, 193, 194, 199, 203, 204, 209, 213, 214, 219, 223, 224, 229, 233, 234, 239, 243, 244, 277, 280, 660, 661, 739, 740, 769, 770, 782, 783, 878], "call": [3, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 89, 95, 96, 260, 270, 437, 463, 912, 913, 914, 917], "callabl": [11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 95, 270, 273, 465, 475, 479, 492, 496, 510, 527, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 667, 674, 678, 692, 708, 723, 727, 746, 753, 757, 776, 789, 797, 813, 826, 854, 884, 895, 899], "cambridg": 1, "campbel": 279, "can": [3, 4, 5, 6, 7, 8, 9, 87, 88, 89, 92, 95, 251, 252, 271, 277, 280, 430, 433, 434, 437, 446, 448, 465, 472, 490, 510, 527, 543, 556, 573, 590, 607, 625, 642, 672, 692, 708, 721, 751, 797, 813, 826, 827, 854, 855, 893, 907, 910, 911, 912, 913, 914, 915, 917], "candid": 280, "cannot": [3, 5, 6, 8, 9, 96, 275, 276, 277, 278, 433], "canon": [282, 432], "canonicalcointegratingreg": [95, 432], "captur": [88, 465, 914, 917], "carefulli": 907, "carlo": [277, 280, 910], "carpent": 1, "carpenterbithel": 1, "case": [4, 89, 101, 106, 107, 108, 109, 110, 111, 112, 113, 271, 433, 450, 907], "cauchi": 107, "caus": 95, "caveat": 437, "cbb": [250, 251, 252], "cc": [282, 287, 290], "cccc": 911, "cdf": [4, 665, 744, 774, 787, 882], "cdot": [290, 440], "cdot2": 290, "cell": 914, "center": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 271, 278, 914], "certain": 95, "challeng": 88, "chang": [14, 29, 44, 59, 74, 93, 94, 95, 97, 98, 271, 433, 434, 465, 510, 527, 543, 692, 708, 797, 813, 826, 854, 912, 913, 914, 915], "character": 280, "check": [95, 249, 251, 271, 434, 447, 509, 526, 542, 691, 707, 796, 812], "chernick": 1, "choic": [4, 290, 367, 381, 415, 437, 509, 526, 542, 691, 707, 796, 812, 914], "choos": 88, "chosen": [3, 4, 10, 250, 251, 252, 284], "ci": [3, 4, 14, 29, 44, 59, 74, 89, 850], "circular": [3, 8, 9, 10, 90, 250, 251, 252], "circularblockbootstrap": [8, 9, 10, 58, 73, 90], "circumst": [4, 89, 914, 915], "cite": 248, "class": [0, 3, 5, 6, 7, 8, 9, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 273, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 436, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 475, 486, 492, 503, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 723, 734, 753, 764, 895, 906, 907, 908, 909, 914, 915, 916, 917], "classic": [367, 381, 415, 505, 508, 522, 525, 538, 541, 687, 690, 703, 706, 792, 795, 808, 811], "claudia": 453, "clearli": [271, 433, 434], "close": [3, 4, 13, 28, 43, 58, 73, 87, 88, 270, 275, 278, 433, 437, 440, 907, 912, 913, 914, 915], "closer": [251, 915], "cm": [442, 548], "cm_param": 548, "cmd": 96, "co": [110, 111, 112, 113], "code": [3, 94, 95, 271, 280, 433, 434, 437, 912, 913, 914], "coef": [434, 907, 911, 912, 914, 915], "coeffici": [278, 290, 411, 433, 516, 532, 697, 713, 872, 914], "cointegr": [95, 248, 275, 278], "cointegrating_vector": 433, "cointegrationaltern": 433, "cointegrationanalysisresult": [367, 415], "cointegrationdistribut": 433, "col": [271, 911], "collect": 914, "colleg": 280, "color": [913, 915], "color_palett": 915, "column": [3, 10, 14, 29, 44, 59, 74, 87, 88, 102, 254, 255, 256, 259, 265, 269, 271, 434, 437, 451, 472, 475, 483, 485, 490, 492, 500, 502, 510, 516, 527, 532, 543, 548, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 672, 674, 682, 684, 692, 697, 708, 713, 721, 723, 731, 733, 751, 753, 761, 763, 797, 802, 813, 826, 854, 893, 895, 903, 905, 911, 913, 914, 915], "combin": [4, 89, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 433], "come": [90, 433], "common": [3, 7, 10, 95, 271, 284, 290, 367, 381, 415, 430, 434, 437, 438, 440, 441, 442, 450, 451, 452, 458, 907, 916], "common_asym": 438, "compar": [3, 14, 29, 44, 59, 74, 89, 272, 434, 440, 441, 442, 451, 452, 458, 907], "comparison": [93, 248, 250, 251, 252, 270, 434, 912], "compat": [91, 96, 97, 98], "compet": 271, "compil": [92, 96], "complet": [89, 271, 386, 435, 907, 915], "complex": [510, 527, 543, 692, 708, 797, 813, 826, 854], "complic": 914, "compon": [3, 275, 276, 277, 278, 280, 436, 455, 472, 490, 508, 525, 541, 556, 573, 590, 607, 625, 642, 672, 690, 706, 721, 748, 751, 795, 811, 893, 907, 915], "comput": [3, 4, 10, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 95, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 251, 252, 259, 261, 265, 271, 277, 278, 290, 295, 308, 320, 331, 345, 359, 434, 437, 463, 472, 475, 481, 483, 485, 490, 492, 498, 500, 502, 505, 508, 510, 515, 522, 525, 527, 531, 538, 541, 543, 547, 556, 558, 564, 566, 568, 573, 575, 581, 583, 585, 590, 592, 598, 600, 602, 607, 609, 615, 618, 620, 625, 627, 633, 635, 637, 642, 644, 650, 652, 654, 656, 660, 668, 672, 674, 680, 682, 684, 687, 690, 692, 696, 703, 706, 708, 712, 721, 723, 729, 731, 733, 735, 739, 747, 751, 753, 759, 761, 763, 765, 769, 777, 778, 782, 790, 792, 795, 797, 801, 808, 811, 813, 817, 825, 826, 827, 849, 854, 855, 873, 885, 893, 895, 901, 903, 905, 911, 913, 914, 915], "concat": [271, 911, 914, 915], "concaten": [516, 532, 548, 697, 713, 911], "conceptu": [4, 911], "conclus": [433, 434], "cond": 434, "cond_mean": 913, "cond_var": 913, "conda": 95, "condit": [4, 95, 279, 434, 437, 438, 440, 444, 446, 448, 456, 458, 459, 460, 463, 467, 472, 485, 490, 502, 511, 516, 532, 548, 556, 568, 573, 585, 590, 602, 607, 620, 625, 637, 642, 654, 660, 672, 684, 697, 713, 721, 733, 739, 751, 763, 769, 782, 802, 823, 825, 833, 835, 837, 838, 840, 847, 849, 863, 870, 877, 893, 905, 908, 913, 914], "conditional_volatil": [912, 913, 914, 915], "conduct": 89, "conf": [907, 911, 912, 914, 915], "conf_int": [3, 4, 89, 92], "confid": [1, 2, 3, 14, 29, 44, 59, 74, 89, 95, 249, 250, 253, 850], "configur": 907, "confirm": 434, "conflict": [11, 26, 41, 56, 71], "consecut": 10, "conserv": 10, "consid": [89, 270, 284, 289, 911], "consider": 911, "consist": [91, 98, 251, 252, 259, 261, 262, 271, 277, 278, 381, 433, 911, 912, 914, 915], "const": [3, 433, 434, 911, 912, 914], "constant": [10, 95, 119, 122, 129, 132, 143, 146, 153, 156, 163, 166, 173, 176, 183, 186, 193, 196, 203, 206, 213, 216, 223, 226, 233, 236, 243, 246, 275, 276, 277, 278, 280, 282, 284, 287, 289, 290, 430, 433, 434, 437, 440, 441, 442, 443, 451, 452, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 769, 797, 802, 813, 827, 855, 907, 912, 915], "constantcrit": 433, "constantmean": [907, 914, 915], "constrain": [658, 737, 767, 780, 875], "constraint": [509, 526, 542, 691, 707, 796, 812], "construct": [2, 3, 4, 5, 6, 8, 9, 89, 96, 271, 437, 446, 468, 473, 485, 487, 491, 502, 504, 506, 508, 509, 510, 521, 523, 525, 526, 527, 537, 539, 541, 542, 543, 553, 557, 568, 570, 574, 585, 587, 591, 602, 604, 608, 620, 622, 626, 637, 639, 643, 654, 658, 668, 669, 673, 684, 686, 688, 690, 691, 692, 702, 704, 706, 707, 708, 718, 733, 737, 747, 748, 752, 763, 767, 777, 780, 790, 791, 793, 795, 796, 797, 807, 809, 811, 812, 813, 826, 836, 850, 854, 871, 875, 885, 889, 890, 894, 905, 907, 911, 914, 915], "constructor": [96, 914], "contain": [0, 2, 3, 4, 5, 6, 7, 8, 9, 12, 14, 15, 17, 22, 23, 25, 27, 29, 30, 32, 37, 38, 40, 42, 44, 45, 47, 48, 52, 53, 55, 57, 59, 60, 62, 67, 68, 70, 72, 74, 75, 77, 82, 83, 85, 87, 89, 90, 95, 96, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 248, 250, 256, 261, 269, 271, 272, 278, 284, 292, 300, 305, 313, 318, 324, 329, 336, 342, 351, 357, 363, 379, 398, 402, 413, 419, 428, 430, 432, 433, 434, 437, 440, 441, 442, 447, 451, 452, 458, 460, 461, 462, 463, 466, 472, 475, 483, 485, 490, 492, 500, 502, 508, 509, 510, 516, 525, 526, 527, 532, 541, 542, 543, 548, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 656, 668, 672, 674, 682, 684, 690, 691, 692, 697, 706, 707, 708, 713, 721, 723, 731, 733, 735, 751, 753, 761, 763, 765, 777, 778, 790, 795, 796, 797, 802, 811, 812, 813, 825, 826, 833, 836, 839, 849, 850, 854, 863, 871, 873, 893, 895, 903, 905, 911, 913, 914, 915], "contamin": 271, "contemporan": 284, "continu": [89, 248], "control": [3, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 252, 270, 271, 272, 456, 914], "convent": 911, "converg": [95, 433, 440, 441, 442, 451, 452, 458, 508, 525, 541, 690, 706, 795, 811, 860, 907, 912, 914, 915], "convergencewarn": [508, 525, 541, 690, 706, 795, 811], "convers": 915, "convert": [510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855], "copi": [95, 96, 434, 911, 913], "core": [3, 273, 437, 914], "core_cpi": 914, "corpor": 434, "correct": [10, 14, 29, 44, 59, 74, 271, 509, 526, 542, 691, 707, 796, 812, 911], "correctli": [95, 434, 914], "correl": [3, 4, 271, 278, 279, 280], "correspond": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 251, 262, 271, 485, 502, 508, 510, 525, 527, 541, 543, 568, 585, 602, 620, 637, 654, 684, 690, 692, 706, 708, 733, 763, 795, 797, 811, 813, 826, 854, 905, 913, 914], "could": 915, "count": [3, 434, 907, 912, 913, 914], "cousin": 89, "cov": [3, 14, 29, 44, 59, 74, 88, 92, 283, 285], "cov_typ": [285, 381, 463, 508, 525, 541, 690, 706, 795, 811], "covari": [2, 3, 4, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 95, 97, 248, 277, 278, 282, 285, 287, 290, 334, 367, 368, 369, 370, 371, 381, 382, 383, 384, 385, 387, 390, 415, 417, 421, 433, 434, 463, 505, 508, 522, 525, 538, 541, 687, 690, 703, 706, 792, 795, 808, 811, 861, 907, 911, 912, 914, 915], "covarianceestim": [99, 117, 127, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 283, 285, 288], "coverag": [14, 29, 44, 59, 74], "cpi": [275, 276, 277, 278, 914], "cpilfesl": 914, "craig": 279, "crash": 280, "crc": 1, "creat": [3, 5, 6, 7, 8, 9, 24, 39, 54, 69, 84, 96, 250, 251, 252, 447, 914], "creation": [1, 249], "crisi": [433, 915], "crit_val": [261, 286, 288], "criteria": [822, 824, 846, 848], "criterion": 284, "critic": [259, 261, 275, 276, 277, 278, 286, 289, 292, 300, 305, 313, 318, 324, 329, 336, 342, 351, 357, 363, 402, 413, 419, 428, 430, 433, 434, 916], "critical_valu": 916, "cross": [7, 286, 289, 290, 381, 433], "crude": 433, "crude_ret": 914, "csv": [379, 398], "ct": [273, 275, 276, 277, 278, 280, 282, 283, 284, 285, 287, 289, 290, 430, 433, 434], "ctt": [273, 275, 282, 283, 284, 285, 287, 289, 290, 430, 433, 434], "cumul": [657, 665, 736, 744, 766, 774, 779, 787, 874, 882], "current": [18, 33, 48, 63, 78, 95, 278, 907, 912, 913, 914], "cush": 433, "custom": [510, 527, 543, 692, 708, 797, 813, 826, 854], "cycl": 455, "cython": [96, 97, 465], "d": [1, 2, 4, 10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 275, 277, 278, 280, 430, 437, 440, 441, 446, 451, 510, 527, 543, 667, 692, 708, 746, 776, 789, 797, 813, 826, 827, 833, 854, 855, 863, 884, 911, 912, 914], "d_": [10, 282, 287], "d_t": [284, 289, 290, 433], "dagger": 911, "dai": [437, 833, 863, 915], "daili": [445, 455, 833, 863], "dark": 915, "darkgrid": [3, 271, 433, 434, 911, 912, 913, 914, 915], "data": [2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 89, 90, 95, 96, 97, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 248, 249, 250, 251, 252, 261, 271, 275, 276, 277, 278, 279, 280, 281, 282, 287, 290, 295, 303, 308, 316, 320, 327, 331, 340, 345, 355, 359, 366, 367, 381, 415, 430, 432, 433, 434, 437, 440, 441, 442, 447, 451, 452, 453, 458, 460, 463, 479, 496, 510, 516, 527, 532, 543, 548, 562, 579, 596, 613, 631, 648, 660, 678, 692, 697, 708, 713, 727, 739, 757, 769, 782, 797, 802, 813, 825, 826, 827, 830, 833, 849, 854, 855, 858, 863, 868, 877, 899, 907, 914, 915], "datafram": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 134, 135, 136, 137, 250, 251, 252, 256, 259, 269, 271, 273, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 287, 289, 290, 303, 316, 327, 340, 355, 366, 369, 383, 385, 430, 434, 437, 440, 441, 442, 451, 452, 458, 459, 510, 515, 516, 519, 520, 527, 531, 532, 535, 536, 543, 547, 548, 551, 552, 660, 692, 696, 697, 700, 701, 708, 712, 713, 716, 717, 739, 769, 782, 797, 801, 802, 805, 806, 813, 817, 818, 821, 826, 837, 838, 840, 850, 854, 861, 877, 907, 913, 914], "dataread": [4, 87, 88, 430, 907], "dataset": [3, 275, 276, 277, 278, 911], "date": [5, 6, 7, 8, 9, 97, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 911, 912, 913, 914, 915], "date_rang": [4, 87, 88, 451, 510, 527, 543, 692, 708, 797, 813, 827, 855], "datelik": 273, "datetim": [4, 87, 88, 273, 430, 437, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855, 907, 914], "datetime64": [273, 437, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855], "davidson": 1, "davidsonmackinnon": 1, "davison": 1, "dcoilwtico": 914, "de": 434, "debias": [14, 29, 44, 59, 74, 279, 290], "dec": 907, "decemb": 437, "decis": 251, "def": [3, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 911, 915], "default": [4, 14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 95, 97, 250, 251, 252, 271, 275, 276, 277, 278, 279, 280, 281, 430, 434, 437, 438, 445, 446, 448, 455, 475, 485, 492, 502, 510, 527, 543, 558, 568, 575, 585, 592, 602, 609, 620, 627, 637, 644, 654, 668, 674, 684, 692, 708, 723, 733, 753, 763, 797, 813, 826, 827, 854, 855, 895, 905, 907, 911, 913, 914, 915], "default_data": 434, "default_rng": [3, 5, 6, 8, 9, 96, 250, 251, 252, 271, 449, 454, 456, 457], "defin": [4, 94, 102, 271, 282, 287, 290, 375, 394, 430], "degre": [95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 285, 377, 396, 777, 790, 867, 914, 916], "delta": [4, 282, 284, 287, 411, 433, 438, 471], "delta_": 446, "delta_1": 446, "delta_i": 411, "delta_j": 446, "demean": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 915], "demo": 3, "demonstr": [87, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907], "denomin": 433, "densiti": [456, 665, 744, 774, 787, 882, 913], "dep": [434, 907, 911, 912, 914, 915], "dep_var": [460, 463], "depart": 280, "depend": [3, 7, 10, 12, 27, 42, 57, 72, 86, 88, 95, 96, 97, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 261, 270, 277, 278, 434, 440, 441, 442, 451, 452, 458, 460, 463, 516, 520, 532, 536, 548, 552, 697, 701, 713, 717, 747, 802, 806, 821, 885, 907, 911, 913], "deprec": [5, 6, 8, 9, 92, 93, 96, 449, 454, 456, 457, 666, 745, 775, 788, 883], "dept": [275, 278], "deriv": [505, 522, 538, 687, 703, 792, 808], "describ": [3, 10, 275, 434, 437, 440, 441, 442, 451, 452, 458, 463], "descript": [4, 277, 280, 286, 440, 441, 451], "design": 272, "desir": [89, 915], "detail": [4, 250, 251, 252, 271, 277, 278, 279, 282, 284, 287, 290, 453, 664, 743, 773, 786, 839, 881, 913], "determin": [122, 123, 132, 133, 146, 147, 156, 157, 166, 167, 176, 177, 186, 187, 196, 197, 206, 207, 216, 217, 226, 227, 236, 237, 246, 247, 271, 280, 289, 432, 455, 664, 743, 773, 786, 881], "determinist": [282, 284, 287, 289, 290, 292, 301, 305, 314, 318, 325, 329, 338, 342, 352, 357, 364, 381, 433, 911], "detrend": [96, 276, 290, 434], "devel": 248, "develop": 248, "deviat": [3, 4, 87, 88, 271, 823, 847, 911, 915], "devic": 911, "df": [293, 306, 319, 330, 344, 358, 430, 434, 907, 911, 912, 914, 915, 916], "df_adjust": [100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 283, 285, 367, 375, 381, 390, 394, 415], "dfgl": [96, 432, 434], "diag": [3, 4], "diciccio": 1, "diciccioefron": 1, "dickei": [93, 95, 275, 276, 289, 290, 404, 411, 430, 432, 433], "dict": [5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 18, 22, 23, 25, 26, 27, 29, 30, 32, 33, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 52, 53, 54, 55, 56, 57, 59, 60, 62, 63, 67, 68, 70, 71, 72, 74, 75, 77, 78, 82, 83, 85, 273, 292, 305, 318, 329, 342, 357, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 916], "dictionari": [3, 5, 6, 7, 8, 9, 12, 15, 17, 22, 23, 25, 27, 30, 32, 37, 38, 40, 42, 45, 47, 48, 52, 53, 55, 57, 60, 62, 67, 68, 70, 72, 75, 77, 82, 83, 85, 87, 292, 305, 318, 329, 342, 357, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "did": 95, "diff": [275, 276, 277, 278, 367, 415, 430, 434], "differ": [2, 3, 13, 14, 28, 29, 43, 44, 58, 59, 73, 74, 86, 89, 96, 251, 270, 271, 276, 282, 284, 287, 289, 290, 430, 434, 437, 440, 441, 442, 451, 452, 458, 907, 911, 913, 914], "differenc": [367, 415, 446], "differenti": [251, 252], "difficulti": [508, 525, 541, 690, 706, 795, 811], "dim0": 911, "dimens": [286, 510, 527, 543, 692, 708, 797, 813, 826, 841, 854, 911], "dimension": [10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 89, 911, 912], "dimitri": 10, "direct": [14, 29, 44, 59, 74, 453, 914], "directli": [4, 5, 6, 7, 8, 9, 87, 89, 434, 823, 847, 907, 912], "disabl": [96, 508, 525, 541, 690, 706, 795, 811], "discard": 279, "discuss": [280, 510, 527, 543, 692, 708, 797, 813], "disp": [3, 441, 508, 525, 541, 690, 706, 795, 811, 833, 863, 911, 912, 913, 914, 915], "displai": [508, 525, 541, 690, 706, 795, 811], "dist": [437, 907, 913, 914, 915], "distinct": [290, 433, 911], "distribut": [2, 4, 5, 8, 9, 10, 89, 90, 94, 95, 96, 251, 275, 278, 286, 290, 433, 437, 440, 441, 442, 449, 451, 452, 454, 456, 457, 458, 459, 509, 516, 526, 532, 542, 548, 657, 659, 660, 661, 662, 663, 664, 665, 666, 667, 691, 697, 707, 713, 736, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 766, 768, 769, 770, 771, 772, 773, 774, 775, 776, 779, 781, 782, 783, 784, 785, 786, 787, 788, 789, 796, 802, 812, 907, 910, 911, 912, 913, 915], "diverg": 433, "divid": [87, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 823, 847, 907, 914], "djia": [279, 907], "do": [10, 12, 27, 42, 57, 72, 282, 287, 437, 451, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 911, 913, 916], "doc": [95, 96, 248], "document": [4, 91, 98, 248, 437], "doe": [12, 27, 42, 57, 72, 90, 271, 290, 375, 394, 434, 485, 502, 508, 525, 541, 568, 585, 602, 620, 637, 654, 684, 690, 706, 733, 763, 795, 811, 905, 907, 913], "doi": [10, 248], "dol": 284, "done": [4, 911], "dot": [4, 89, 271, 473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 722, 737, 752, 767, 780, 793, 809, 875, 894], "download": [3, 4, 434, 914], "downstream": 96, "dpi": [3, 271, 433, 434, 911, 912, 913, 914, 915], "dramat": 914, "draw": [437, 667, 746, 776, 789, 884, 915], "drawn": [437, 915], "drift": 279, "drop": [95, 434, 913], "dropna": [3, 4, 87, 88, 437, 440, 907, 912, 913, 914, 915], "dt": [4, 87, 88, 430, 437, 907, 914], "dtype": [3, 11, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 29, 30, 32, 33, 36, 37, 38, 39, 40, 41, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 59, 60, 62, 63, 66, 67, 68, 69, 70, 71, 74, 75, 77, 78, 81, 82, 83, 84, 85, 88, 102, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 258, 259, 264, 265, 268, 271, 273, 433, 440, 441, 447, 451, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 510, 515, 516, 517, 522, 523, 525, 527, 531, 532, 533, 538, 539, 541, 543, 547, 548, 549, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 692, 696, 697, 698, 703, 704, 706, 708, 712, 713, 714, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 774, 776, 777, 778, 779, 780, 782, 787, 789, 790, 792, 793, 795, 797, 801, 802, 803, 808, 809, 811, 813, 817, 819, 825, 826, 834, 835, 842, 843, 844, 845, 849, 854, 865, 870, 873, 874, 875, 877, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 907, 911, 913, 914, 915], "due": [96, 295, 308, 320, 331, 345, 359, 433, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 912, 915], "dummi": 280, "durbin": 434, "dure": [437, 915], "dx": [664, 743, 773, 786, 881], "dynam": [284, 285, 381, 432, 437, 438, 439, 444, 445, 446, 448, 450, 455, 911, 913, 914], "dynamicol": [95, 432], "dynamicolsresult": 381, "e": [3, 86, 89, 94, 95, 96, 270, 271, 280, 282, 287, 381, 437, 446, 448, 456, 907, 911, 913], "e1": 4, "e2": 4, "e_": [437, 444, 911], "e_t": [95, 437, 907, 913, 914], "each": [3, 4, 7, 11, 14, 26, 29, 41, 44, 48, 56, 59, 71, 74, 86, 271, 280, 437, 465, 470, 473, 489, 491, 510, 527, 543, 555, 557, 572, 574, 589, 591, 606, 608, 624, 626, 641, 643, 671, 673, 692, 708, 720, 748, 750, 752, 797, 813, 826, 854, 892, 894, 911], "earch": 444, "earliest": [827, 855], "easi": 912, "easili": [271, 437, 913, 915], "econom": [249, 251, 275, 276, 277, 278, 280, 456, 914], "econometr": [1, 10, 275, 277, 279, 282, 284, 287, 290, 453], "econometrica": [249, 250, 251, 252, 276, 277, 278, 282, 284, 290], "edu": 456, "effect": [89, 915], "effici": 276, "efron": 1, "efrontibshirani": 1, "eg": 433, "eg_test": 433, "egarch": [437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 908], "either": [4, 14, 20, 29, 35, 44, 50, 59, 65, 74, 80, 86, 250, 282, 287, 381, 475, 492, 508, 510, 516, 525, 527, 532, 541, 543, 558, 575, 592, 609, 627, 644, 674, 690, 692, 697, 706, 708, 713, 723, 753, 795, 797, 811, 813, 826, 827, 854, 855, 895, 907, 910, 911, 913, 914, 915], "element": [4, 5, 6, 7, 8, 9, 48, 87, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 271, 430, 440, 441, 442, 451, 452, 458, 470, 485, 489, 502, 510, 527, 543, 555, 568, 572, 585, 589, 602, 606, 620, 624, 637, 641, 654, 671, 684, 692, 708, 720, 733, 750, 763, 797, 813, 825, 826, 849, 854, 892, 905], "elif": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 913], "elimin": [14, 29, 44, 59, 74, 250], "elliott": 276, "els": [911, 913], "empir": [4, 913], "empti": [739, 911], "empty_lik": 912, "en": 914, "enabl": [92, 95], "encount": 89, "end": [0, 4, 5, 87, 88, 90, 101, 106, 107, 108, 109, 110, 111, 112, 113, 279, 280, 282, 287, 290, 430, 437, 510, 527, 543, 692, 708, 797, 813, 826, 853, 854, 907, 911], "end_loc": 913, "endog": 3, "energi": 433, "enforc": 447, "engl": [95, 286, 289, 290, 381, 432, 433], "engle_grang": [95, 290, 381, 432, 433], "englegrangertestresult": 289, "enhanc": 97, "ensur": [5, 6, 7, 8, 9, 89, 290, 449, 454, 456, 457, 485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905], "enter": [5, 6, 7, 8, 9, 12, 27, 42, 57, 72, 908], "entir": [913, 915], "entri": [508, 525, 541, 690, 706, 795, 811], "entropi": [3, 5, 6, 8, 9, 449, 454, 456, 457], "env": 96, "environ": [91, 95, 98], "environment": 96, "ep": [508, 525, 541, 690, 706, 795, 811], "epsilon": [375, 394, 437, 445], "epsilon_": [282, 287, 437, 438, 439, 444, 446, 448, 450, 453, 907, 913, 914], "epsilon_t": [284, 289, 381, 411, 433, 437, 440, 441, 442, 446, 451, 452, 458, 907, 911, 914], "eqnarrai": [437, 907], "equal": [259, 271, 284, 508, 525, 541, 690, 706, 795, 811], "equat": [437, 440, 446], "equiti": 3, "equival": [6, 271, 381, 440, 451, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907, 911, 915], "er": 276, "err": [434, 907, 911, 912, 914, 915], "error": [3, 4, 14, 29, 44, 59, 74, 95, 252, 270, 271, 272, 278, 378, 379, 381, 397, 398, 434, 440, 441, 442, 449, 451, 452, 458, 505, 507, 510, 516, 522, 524, 527, 532, 538, 540, 543, 548, 660, 687, 689, 692, 697, 703, 705, 708, 713, 792, 794, 797, 802, 808, 810, 813, 825, 826, 849, 854, 869, 907, 911], "especi": 95, "essenti": [0, 270], "estim": [2, 4, 5, 8, 9, 10, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 89, 94, 95, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 121, 122, 123, 124, 126, 127, 131, 132, 133, 134, 135, 136, 137, 138, 140, 141, 145, 146, 147, 148, 150, 151, 155, 156, 157, 158, 160, 161, 165, 166, 167, 168, 170, 171, 175, 176, 177, 178, 180, 181, 185, 186, 187, 188, 190, 191, 195, 196, 197, 198, 200, 201, 205, 206, 207, 208, 210, 211, 215, 216, 217, 218, 220, 221, 225, 226, 227, 228, 230, 231, 235, 236, 237, 238, 240, 241, 245, 246, 247, 248, 262, 271, 277, 278, 281, 282, 284, 285, 287, 289, 290, 293, 298, 306, 311, 319, 330, 344, 347, 349, 358, 367, 368, 369, 370, 371, 372, 375, 379, 381, 382, 383, 384, 387, 390, 391, 394, 398, 401, 411, 415, 417, 418, 421, 432, 433, 434, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 451, 452, 456, 458, 460, 463, 465, 467, 471, 473, 474, 485, 491, 502, 504, 508, 510, 521, 525, 527, 537, 541, 543, 557, 568, 574, 585, 591, 602, 608, 620, 626, 637, 643, 654, 668, 673, 684, 686, 690, 692, 702, 706, 708, 733, 747, 752, 763, 777, 790, 791, 795, 797, 807, 811, 813, 823, 825, 826, 827, 830, 847, 849, 852, 853, 854, 855, 858, 868, 885, 894, 905, 907, 909, 911, 913, 914, 915, 917], "estimator_typ": 283, "et": [277, 664, 743, 773, 786, 881], "eta": [282, 287, 456, 769, 914], "eta_": [282, 287], "eta_t": [282, 287], "etc": [10, 437, 914], "evalu": [271, 510, 527, 543, 657, 692, 708, 736, 766, 779, 797, 813, 826, 854, 874, 877, 907, 912, 913, 914], "even": [87, 259, 433, 467, 914], "everi": [508, 525, 541, 690, 706, 795, 811], "evid": [280, 433], "evolv": [437, 453, 485, 502, 510, 527, 543, 568, 585, 602, 620, 637, 654, 684, 692, 708, 733, 763, 797, 813, 826, 827, 854, 855, 905, 914], "ewma": [95, 445, 455, 748, 914], "ewmavari": 914, "ex": [516, 532, 697, 713], "exact": [4, 89, 279, 433, 434], "exactli": 911, "examin": 271, "exampl": [2, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 95, 248, 271, 272, 275, 276, 277, 278, 279, 432, 434, 438, 439, 440, 441, 442, 444, 445, 446, 448, 450, 451, 452, 453, 455, 458, 465, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 826, 827, 833, 854, 855, 863, 907, 910, 911, 912, 913, 914, 915, 917], "exceed": 913, "except": [95, 96, 270, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913, 914, 915], "excess": [3, 434], "excess_market": [3, 434], "exclud": [271, 280, 440, 441, 442, 451, 452, 458, 907], "exit": [907, 912, 913, 914], "exog": [3, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "exog_dict": 911, "exog_fcast": 911, "exogen": [95, 96, 440, 441, 451, 452, 510, 516, 519, 527, 532, 535, 543, 551, 692, 697, 700, 708, 713, 716, 797, 805, 813, 826, 854, 907, 910, 914], "exp": [5, 8, 10], "expand": 248, "expect": [270, 271, 430, 911, 913], "expens": 89, "experi": [3, 7], "experiment": 86, "explain": 437, "explicit": 3, "exploit": [3, 437], "expon": 9, "exponenti": [90, 444, 445, 914], "export": [96, 379, 398, 836, 871], "expos": [433, 914, 915, 917], "express": 290, "extend": [96, 432], "extens": [95, 96, 277], "extern": 915, "extra": [11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 251, 252], "extra_kwarg": [3, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 95], "extrem": 3, "f": [275, 276, 277, 278, 279, 280, 434, 440, 657, 664, 736, 739, 743, 766, 773, 779, 786, 874, 881, 911], "facilit": [89, 836, 871], "fact": 270, "factor": [3, 271], "fail": 95, "fairli": 914, "fals": [14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 88, 95, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 279, 284, 290, 367, 381, 398, 415, 434, 438, 440, 441, 442, 447, 451, 452, 453, 458, 461, 505, 508, 522, 525, 527, 538, 541, 543, 660, 687, 690, 692, 703, 706, 708, 739, 769, 782, 792, 795, 797, 808, 811, 813, 823, 826, 847, 854, 877, 907, 911, 913, 915], "fama": 3, "famili": [3, 252, 271, 433, 434, 911, 912, 913, 914, 915], "familywis": [270, 271, 272], "faster": 915, "favor": [96, 433], "fcast": [911, 913], "featur": [95, 911, 914], "feder": 914, "few": 437, "ff": [3, 434], "ffill": [4, 87, 88], "fh": 915, "fiarch": 446, "fiavarch": 446, "fiavgarch": 446, "fig": [3, 271, 433, 434, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 913, 914, 915], "figarch": [95, 96, 97, 907], "figsiz": [3, 271, 433, 434, 911, 912, 913, 914, 915], "figur": [3, 271, 408, 424, 433, 434, 827, 833, 855, 863, 911, 912, 913, 914, 915], "fill": [437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 912], "filter": [912, 915], "final": [4, 271, 290, 432, 434, 436, 437, 451, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 911, 913, 914, 915], "financ": [88, 914], "financi": [248, 279, 433, 434, 914, 915], "find": [3, 271, 508, 525, 541, 690, 706, 795, 811, 915], "finit": 276, "firmli": 433, "first": [3, 5, 6, 7, 8, 9, 10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 87, 89, 271, 290, 430, 432, 433, 434, 437, 451, 463, 475, 492, 508, 509, 510, 525, 526, 527, 541, 542, 543, 558, 575, 592, 609, 627, 644, 674, 690, 691, 692, 706, 707, 708, 723, 753, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855, 895, 911, 912, 913, 914, 915], "first_ob": [94, 95, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 913], "fit": [94, 95, 271, 285, 437, 440, 441, 442, 445, 451, 452, 458, 463, 510, 517, 527, 533, 543, 549, 692, 698, 708, 714, 797, 803, 813, 819, 826, 827, 829, 833, 836, 854, 855, 857, 863, 871, 907, 912, 913, 914, 915, 916], "fit_start": 463, "fit_stop": 463, "fix": [89, 90, 94, 95, 96, 97, 434, 437, 438, 445, 447, 455, 460, 909, 910, 917], "fixed_r": 914, "fixedvari": 95, "flag": [14, 20, 29, 35, 44, 50, 59, 65, 74, 80, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 251, 252, 275, 284, 398, 440, 441, 442, 447, 451, 452, 453, 458, 484, 501, 505, 508, 522, 525, 538, 541, 567, 584, 601, 619, 636, 653, 660, 683, 687, 690, 703, 706, 732, 739, 762, 769, 782, 792, 795, 808, 811, 823, 847, 851, 877, 904, 907], "float": [14, 15, 17, 22, 23, 25, 29, 30, 32, 37, 38, 40, 44, 45, 47, 52, 53, 55, 59, 60, 62, 67, 68, 70, 74, 75, 77, 82, 83, 85, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 119, 122, 123, 124, 125, 129, 132, 133, 138, 139, 143, 146, 147, 148, 149, 153, 156, 157, 158, 159, 163, 166, 167, 168, 169, 173, 176, 177, 178, 179, 183, 186, 187, 188, 189, 193, 196, 197, 198, 199, 203, 206, 207, 208, 209, 213, 216, 217, 218, 219, 223, 226, 227, 228, 229, 233, 236, 237, 238, 239, 243, 246, 247, 250, 252, 259, 261, 273, 280, 281, 283, 286, 288, 292, 297, 299, 305, 310, 312, 318, 322, 323, 329, 333, 335, 342, 348, 350, 354, 357, 361, 362, 367, 368, 371, 375, 376, 377, 382, 390, 394, 395, 396, 409, 411, 412, 415, 417, 425, 427, 438, 440, 445, 446, 448, 455, 460, 463, 468, 469, 470, 472, 474, 475, 479, 483, 485, 487, 488, 489, 490, 492, 496, 500, 502, 504, 505, 508, 509, 511, 516, 521, 522, 525, 526, 532, 537, 538, 541, 542, 548, 553, 554, 555, 556, 558, 562, 566, 568, 570, 571, 572, 573, 575, 579, 583, 585, 587, 588, 589, 590, 592, 596, 600, 602, 604, 605, 606, 607, 609, 613, 618, 620, 622, 623, 624, 625, 627, 631, 635, 637, 639, 640, 641, 642, 644, 648, 652, 654, 656, 657, 660, 661, 664, 665, 667, 669, 670, 671, 672, 674, 678, 682, 684, 686, 687, 690, 691, 697, 702, 703, 706, 707, 713, 718, 719, 720, 721, 723, 727, 731, 733, 735, 736, 739, 740, 743, 744, 746, 748, 749, 750, 751, 753, 757, 761, 763, 765, 766, 769, 770, 773, 774, 776, 778, 779, 782, 783, 786, 787, 789, 791, 792, 795, 796, 802, 807, 808, 811, 812, 818, 822, 824, 828, 833, 846, 848, 850, 856, 863, 866, 867, 868, 873, 874, 877, 878, 881, 882, 884, 890, 891, 892, 893, 895, 899, 903, 905, 907, 911, 916], "float64": [3, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 88, 102, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 271, 273, 433, 447, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 510, 515, 516, 517, 522, 523, 525, 527, 531, 532, 533, 538, 539, 541, 543, 547, 548, 549, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 692, 696, 697, 698, 703, 704, 706, 708, 712, 713, 714, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 774, 776, 777, 778, 779, 780, 782, 787, 789, 790, 792, 793, 795, 797, 801, 802, 803, 808, 809, 811, 813, 817, 819, 825, 826, 834, 835, 842, 843, 844, 845, 849, 854, 865, 870, 873, 874, 875, 877, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 911, 913, 914, 915], "float64arrai": 273, "floatorarrai": 273, "flush": 913, "fo": 911, "follow": [280, 448, 465, 907, 911, 913, 915], "font": [3, 271, 433, 434, 911, 912, 913, 914, 915], "forc": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 290, 367, 381, 415], "force_int": [100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 290, 367, 381, 415], "forecast": [94, 95, 96, 97, 270, 271, 461, 462, 466, 827, 837, 838, 840, 855, 887, 889, 910, 915], "forecast_1d": 911, "forecast_2d": 911, "forecast_path": 466, "forecast_x": 911, "forecastingmethod": 273, "form": [4, 89, 90, 271, 282, 284, 287, 437, 440, 451, 473, 491, 557, 574, 591, 608, 626, 643, 673, 752, 894, 913, 914], "formal": [249, 252, 270], "format": [430, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "formula": [4, 103], "foroni": 453, "forward": 437, "found": 277, "four": [432, 433], "frac": [4, 10, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 284, 290, 437, 446, 450, 660, 739, 769, 782], "fraction": [95, 446], "frame": 273, "frameon": [911, 913, 915], "framework": [92, 434], "franc": 277, "fred": [430, 434, 912, 914], "free": 911, "freedom": [95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 285, 377, 396, 777, 790, 867, 914, 916], "french": [3, 434], "frenchdata": [3, 434], "freq": [4, 87, 88, 451], "frequenc": [453, 508, 525, 541, 690, 706, 795, 811, 833, 863, 914], "fresh": [5, 6, 8, 9, 13, 28, 43, 58, 73], "fri": 907, "from": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 94, 95, 96, 97, 99, 102, 250, 254, 270, 271, 275, 276, 277, 278, 279, 280, 282, 284, 285, 287, 289, 290, 298, 311, 367, 381, 390, 410, 411, 415, 426, 430, 433, 434, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 448, 450, 451, 452, 453, 455, 458, 460, 461, 462, 463, 465, 467, 475, 479, 492, 496, 509, 510, 516, 517, 526, 527, 532, 533, 542, 543, 548, 549, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 664, 667, 674, 678, 691, 692, 697, 698, 707, 708, 713, 714, 723, 727, 743, 746, 753, 757, 773, 776, 786, 789, 796, 797, 802, 803, 812, 813, 819, 826, 827, 833, 836, 854, 855, 860, 863, 871, 881, 884, 895, 899, 907, 908, 911, 912, 913, 915, 917], "front": 280, "ftol": [508, 525, 541, 690, 706, 795, 811], "full": [3, 91, 98, 398], "fuller": [93, 95, 275, 276, 289, 290, 404, 411, 430, 432, 433], "fulli": [89, 287, 432], "fullymodifiedol": [95, 432], "func": [11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 907, 912, 913, 914], "function": [0, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 91, 92, 93, 95, 98, 271, 275, 278, 281, 440, 453, 465, 479, 496, 562, 579, 596, 613, 631, 648, 657, 660, 665, 678, 727, 736, 744, 757, 766, 769, 774, 779, 782, 787, 874, 882, 899, 907, 911, 912, 913, 914, 915], "functool": 89, "further": [277, 280, 282, 284, 287, 453, 913], "futur": [91, 92, 95, 97, 98, 248, 510, 527, 543, 692, 708, 797, 813], "fv": 912, "fwer": 252, "g": [1, 3, 4, 10, 86, 94, 95, 96, 275, 276, 277, 278, 280, 437, 440, 907, 913], "gallant": 281, "gamma": [284, 287, 289, 290, 411, 433, 440, 441, 451, 452, 453, 660, 722, 769, 782, 912, 914, 915], "gamma_": [10, 438, 444, 448], "gamma_0": 102, "gamma_1": [282, 287], "gamma_2": [282, 287], "gamma_i": 438, "garch": [95, 437, 440, 441, 516, 532, 548, 697, 713, 802, 907, 908, 911, 912, 913, 915], "garch_param": [516, 532, 548, 697, 713], "gaussian": 907, "gca": 913, "ged": [660, 907], "gen": 271, "gener": [2, 3, 5, 6, 7, 8, 9, 12, 13, 15, 17, 19, 21, 22, 23, 25, 27, 28, 30, 32, 34, 36, 37, 38, 40, 42, 43, 45, 47, 49, 51, 52, 53, 55, 57, 58, 60, 62, 64, 66, 67, 68, 70, 72, 73, 75, 77, 79, 81, 82, 83, 85, 89, 92, 95, 96, 250, 251, 252, 258, 264, 268, 271, 277, 280, 437, 449, 450, 454, 456, 457, 464, 466, 475, 479, 492, 496, 508, 509, 510, 525, 526, 527, 541, 542, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 660, 666, 674, 678, 690, 691, 692, 706, 707, 708, 723, 727, 745, 753, 757, 775, 788, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855, 883, 895, 899, 907, 911, 914], "geometr": 108, "geq": [270, 271, 437, 438], "get": [16, 17, 19, 23, 31, 32, 34, 38, 46, 47, 49, 53, 61, 62, 64, 68, 76, 77, 79, 83, 293, 294, 301, 306, 307, 314, 319, 325, 330, 337, 338, 343, 344, 347, 349, 352, 358, 364, 406, 422, 430, 486, 503, 507, 518, 519, 524, 534, 535, 540, 550, 551, 569, 586, 603, 621, 638, 655, 685, 689, 699, 700, 705, 715, 716, 734, 764, 794, 804, 805, 810, 820, 906], "get_ax": 433, "get_data_fr": [279, 907], "get_data_yahoo": 437, "get_loc": 915, "get_stat": [96, 914], "gh156": 95, "gh195": 95, "gh225": 95, "gh233": 95, "gh248": 95, "gh259": 95, "gh260": 95, "gh261": 95, "gh262": 95, "gh286": 95, "gh288": 95, "gh290": 95, "gh292": 95, "gh303": 95, "gh313": 95, "gh315": 95, "gh317": 95, "gh322": 95, "gh326": 95, "gh329": 95, "gh331": 95, "gh334": 95, "gh338": 95, "gh339": 95, "gh341": 95, "gh342": 95, "gh343": 95, "gh345": 95, "gh346": 95, "gh353": 95, "gh354": 95, "gh356": 95, "gh359": 95, "gh360": 95, "gh364": 95, "gh366": 95, "gh395": 95, "gh417": 95, "gh437": 95, "gh438": 95, "gh443": 95, "gh458": 95, "gh551": 96, "gh565": 96, "gh569": 96, "gh572": 96, "gh606": 97, "gh687": 97, "gim": 440, "give": 94, "given": [271, 455, 509, 526, 542, 691, 707, 769, 796, 812, 914], "gjr": [448, 912, 915], "gl": [93, 96, 276, 432, 447, 912], "good": [4, 271, 434, 915], "gpa": 3, "gradient": [907, 912, 913, 914], "granger": [95, 286, 289, 290, 381, 432, 433], "gre": 3, "great": 280, "green": 275, "ground": 915, "group": 3, "grow": 915, "gspc": [4, 87, 88, 437, 907], "gt": [434, 911, 912, 914, 915], "guid": 1, "h": [10, 95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 249, 251, 275, 276, 277, 282, 284, 287, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 913, 915], "h0": 280, "h_": 446, "h_0": [270, 271], "h_1": 270, "h_t": 446, "ha": [5, 6, 7, 8, 9, 20, 35, 50, 65, 80, 95, 96, 271, 280, 432, 434, 437, 443, 445, 455, 739, 826, 854, 911, 913, 914, 915], "hac": 381, "had": [510, 527, 543, 692, 708, 797, 813, 826, 854], "halbert": 10, "half": 271, "hall": 275, "ham": 111, "hamilton": [275, 278], "han": 112, "hand": [282, 284, 287, 289, 290], "handbook": 1, "handl": [95, 827, 833, 855, 863], "hannan": 284, "hansen": [94, 249, 250, 251, 270, 287, 456], "hansenlundenason": 249, "happen": [433, 915], "har": [97, 440, 441, 451, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 827, 855, 907, 911, 912], "harch": [437, 453, 907, 914], "harx": [95, 516, 532, 713, 907, 912, 914], "harx_1": 451, "harx_2": 451, "harx_3": 451, "harx_4": 451, "harx_param": [516, 532, 697, 713], "hashabl": [254, 255, 259, 269, 273, 461, 462, 510, 527, 543, 692, 708, 797, 813, 826, 854], "hat": [4, 10, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 284, 287, 290, 375, 381, 394, 411, 437], "have": [2, 4, 7, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 86, 91, 95, 96, 98, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 271, 432, 433, 434, 437, 438, 447, 450, 460, 463, 509, 510, 516, 526, 527, 532, 542, 543, 660, 691, 692, 697, 707, 708, 713, 769, 782, 796, 797, 812, 813, 826, 827, 854, 855, 868, 911, 912, 913, 914, 915, 917], "he": 433, "head": [913, 914, 915], "heavi": 914, "heavier": 668, "heavili": 914, "hedgehog": [94, 915], "hedgehog_plot": [510, 527, 543, 692, 708, 797, 813], "held": 94, "help": [95, 911, 915], "here": [3, 4, 271, 433, 434, 911, 915], "heterogen": [450, 451, 914], "heteroskedast": [277, 278, 279, 349, 381, 823, 847, 912, 914], "high": [1, 2, 4, 87, 88, 92, 910, 912], "higher": [4, 87, 271, 284, 911], "highli": [4, 432, 434, 914], "highlight": 913, "hist": [3, 87], "histor": 915, "histori": 915, "hml": [3, 434], "hobijn": 277, "hold": [408, 424, 451, 508, 525, 541, 690, 706, 795, 811, 915], "hold_back": [94, 440, 441, 442, 451, 452, 458, 459, 907], "holder": 916, "home": 434, "homoskedast": 381, "horizon": [437, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 911, 913, 915], "how": [3, 87, 433, 437, 465, 915], "howev": [3, 914, 915], "hqic": 284, "html": [275, 278, 836, 871], "http": [248, 275, 278, 456], "hyperbol": [95, 453], "hypothesi": [271, 275, 276, 277, 278, 279, 280, 286, 289, 291, 296, 304, 309, 317, 321, 328, 332, 341, 346, 356, 360, 400, 403, 407, 416, 420, 423, 430, 433, 434, 916], "i": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 20, 23, 25, 26, 27, 29, 30, 35, 38, 40, 41, 42, 44, 45, 50, 53, 55, 56, 57, 59, 60, 65, 68, 70, 71, 72, 74, 75, 80, 83, 85, 87, 88, 89, 90, 92, 94, 95, 96, 97, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 122, 126, 128, 132, 140, 142, 146, 150, 152, 156, 160, 162, 166, 170, 172, 176, 180, 182, 186, 190, 192, 196, 200, 202, 206, 210, 212, 216, 220, 222, 226, 230, 232, 236, 240, 242, 246, 248, 250, 251, 252, 256, 259, 265, 269, 270, 271, 272, 275, 276, 277, 278, 279, 280, 282, 284, 287, 289, 290, 293, 306, 319, 330, 344, 358, 367, 375, 381, 390, 394, 411, 415, 430, 432, 433, 434, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 463, 465, 470, 471, 473, 474, 475, 483, 486, 489, 491, 492, 500, 503, 508, 510, 516, 525, 527, 532, 541, 543, 548, 555, 557, 558, 566, 569, 572, 574, 575, 583, 586, 589, 591, 592, 600, 603, 606, 608, 609, 618, 621, 624, 626, 627, 635, 638, 641, 643, 644, 652, 655, 660, 664, 665, 666, 667, 668, 671, 673, 674, 682, 685, 690, 692, 697, 706, 708, 713, 720, 723, 731, 734, 739, 743, 744, 745, 746, 750, 752, 753, 761, 764, 769, 773, 774, 775, 776, 782, 786, 787, 788, 789, 795, 797, 802, 811, 813, 825, 826, 827, 833, 849, 854, 855, 863, 881, 882, 883, 884, 892, 894, 895, 903, 906, 907, 909, 911, 912, 913, 914, 915, 917], "i_": [438, 914], "ic": [275, 276, 280], "icdf": [665, 744, 774, 787, 882], "id": 915, "idea": [275, 278, 915], "ideal": 271, "ident": [2, 4, 14, 29, 44, 59, 74, 271, 276, 290, 433, 437, 450, 456, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 913, 914, 915], "identifi": [270, 271], "idx": [913, 915], "ie": 911, "ier_94": 456, "ignor": [14, 29, 44, 59, 74, 434, 833, 863, 907, 911], "iid": [4, 915], "iidbootstrap": [3, 4, 7, 11, 12, 14, 15, 25, 41, 42, 43, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 86, 87, 89, 96], "illustr": [912, 915], "iloc": [3, 271, 434, 911, 913, 915], "immateri": 96, "immut": 96, "implement": [3, 4, 10, 89, 250, 252, 275, 289, 434, 465, 912, 913, 915], "impli": 668, "import": [3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 95, 97, 271, 275, 276, 277, 278, 279, 430, 433, 434, 437, 438, 439, 440, 441, 442, 444, 445, 446, 448, 450, 451, 452, 453, 455, 458, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 827, 833, 855, 863, 907, 908, 911, 912, 913, 914, 915], "impos": 912, "improv": [4, 91, 95, 96, 98, 270, 276, 434, 465, 914], "in_samp_forcast_exog": 911, "inappropri": 7, "incl": 385, "includ": [1, 3, 89, 95, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 248, 249, 271, 275, 276, 277, 278, 280, 282, 284, 285, 287, 289, 290, 292, 305, 318, 329, 342, 357, 381, 386, 388, 389, 398, 430, 433, 434, 437, 440, 441, 450, 451, 452, 453, 508, 510, 516, 525, 527, 532, 541, 543, 690, 692, 697, 706, 708, 713, 795, 797, 811, 813, 823, 826, 847, 854, 911, 914], "inclus": 256, "incorrect": 95, "incorrectli": 95, "increas": [91, 98, 271, 914, 915], "increment": 279, "independ": [2, 3, 7, 95, 437, 911], "independentsamplesbootstrap": [3, 6, 86, 95], "index": [3, 4, 87, 88, 102, 256, 271, 433, 434, 437, 451, 461, 462, 463, 475, 480, 482, 483, 492, 497, 499, 500, 510, 527, 543, 558, 563, 565, 566, 575, 580, 582, 583, 592, 597, 599, 600, 609, 614, 616, 618, 627, 632, 634, 635, 644, 649, 651, 652, 674, 679, 681, 682, 692, 708, 723, 728, 730, 731, 753, 758, 760, 761, 797, 813, 826, 827, 854, 855, 895, 900, 902, 903, 911, 912, 913, 914, 915], "indic": [14, 20, 24, 29, 35, 39, 44, 48, 50, 54, 59, 65, 69, 74, 80, 84, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 251, 252, 254, 255, 259, 265, 269, 271, 275, 279, 284, 343, 347, 349, 398, 433, 434, 437, 440, 441, 442, 451, 452, 453, 458, 484, 501, 505, 508, 510, 516, 522, 525, 527, 532, 538, 541, 543, 567, 584, 601, 619, 636, 653, 660, 683, 687, 690, 692, 697, 703, 706, 708, 713, 732, 739, 762, 769, 782, 792, 795, 797, 808, 811, 813, 823, 826, 827, 833, 847, 854, 855, 863, 877, 904, 907, 911, 914], "indistinguish": 271, "individu": [660, 739, 769, 782, 877, 907], "inequ": [473, 491, 557, 574, 591, 608, 626, 643, 673, 752, 894], "inf": [14, 29, 44, 59, 74, 664, 743, 773, 786, 881], "infeas": 95, "infer": [95, 279, 287, 914], "infin": 617, "inflat": [275, 276, 277, 278, 914], "inform": [278, 284, 433, 465, 508, 525, 541, 690, 706, 795, 811, 822, 824, 825, 846, 848, 849, 860, 911, 913, 914], "infti": [282, 287, 446, 664, 743, 769, 773, 786, 881, 915], "inherit": [99, 436, 465, 908, 917], "initi": [3, 5, 6, 7, 8, 9, 11, 20, 26, 35, 41, 50, 56, 65, 71, 80, 89, 94, 95, 96, 257, 259, 263, 267, 276, 277, 290, 434, 472, 475, 479, 483, 490, 492, 496, 500, 516, 532, 548, 556, 558, 562, 566, 573, 575, 579, 583, 590, 592, 596, 600, 607, 609, 613, 618, 625, 627, 631, 635, 642, 644, 648, 652, 672, 674, 678, 682, 697, 713, 721, 723, 727, 731, 751, 753, 757, 761, 802, 893, 895, 899, 903, 907, 911, 913, 914], "initial_valu": [479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 818, 899], "initial_value_vol": [516, 532, 548, 697, 713, 802, 818], "initialize_upd": 465, "inlin": [95, 915], "inner": [4, 14, 29, 44, 59, 74, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 290], "innov": [438, 439, 444, 446, 448, 907], "input": [3, 4, 5, 6, 7, 8, 9, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 87, 89, 95, 97, 271, 430, 437, 460, 463, 475, 479, 492, 496, 510, 527, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 708, 723, 727, 753, 757, 797, 813, 825, 826, 827, 849, 854, 855, 877, 895, 899, 907, 913, 914], "insid": [10, 911], "inspect": 451, "instal": 97, "instanc": [5, 7, 8, 9, 13, 16, 19, 28, 31, 34, 43, 46, 49, 58, 61, 64, 73, 76, 79, 87, 89, 95, 96, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 285, 286, 367, 379, 398, 408, 415, 424, 449, 454, 456, 457, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 829, 836, 854, 857, 871, 895, 914], "instead": [4, 5, 6, 8, 9, 94, 434, 449, 454, 456, 457, 666, 745, 775, 788, 883, 911, 915], "int": [3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 36, 37, 38, 40, 41, 42, 43, 44, 45, 47, 51, 52, 53, 55, 56, 57, 58, 59, 60, 62, 66, 67, 68, 70, 71, 72, 73, 74, 75, 77, 81, 82, 83, 85, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 258, 264, 268, 273, 275, 276, 277, 278, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 293, 294, 295, 306, 307, 308, 319, 320, 330, 331, 344, 345, 358, 359, 381, 388, 389, 403, 404, 405, 420, 438, 439, 440, 441, 442, 444, 446, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 461, 463, 464, 475, 477, 479, 480, 482, 483, 492, 494, 496, 497, 499, 500, 508, 509, 510, 511, 513, 516, 525, 526, 527, 529, 532, 541, 542, 543, 545, 548, 558, 560, 562, 563, 565, 566, 575, 577, 579, 580, 582, 583, 592, 594, 596, 597, 599, 600, 609, 611, 613, 614, 616, 617, 618, 627, 629, 631, 632, 634, 635, 644, 646, 648, 649, 651, 652, 661, 664, 667, 674, 676, 678, 679, 681, 682, 690, 691, 692, 694, 697, 706, 707, 708, 710, 713, 723, 725, 727, 728, 730, 731, 740, 743, 746, 753, 755, 757, 758, 760, 761, 770, 773, 776, 783, 786, 789, 795, 796, 797, 799, 802, 811, 812, 813, 815, 818, 823, 826, 827, 830, 831, 847, 851, 852, 853, 854, 855, 858, 859, 878, 881, 884, 895, 897, 899, 900, 902, 903, 907, 911, 912, 914, 915, 916], "int32": [273, 440, 441, 451, 907], "int32arrai": 273, "int64": 273, "int64arrai": 273, "int_": [664, 743, 773, 786, 881], "intarrai": 273, "integ": [6, 94, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242, 250, 251, 252, 258, 264, 268, 271, 290, 367, 381, 415, 434, 437, 463, 479, 496, 510, 527, 543, 562, 579, 596, 613, 631, 648, 678, 692, 708, 727, 757, 797, 813, 826, 827, 854, 855, 899, 907], "integr": [89, 95, 284, 664, 665, 743, 744, 773, 774, 786, 787, 881, 882], "intent": [4, 434], "intercept": 915, "interest": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 914], "interfac": 2, "intermedi": [433, 914], "intern": [2, 87, 265, 456, 915], "internet": 3, "interpret": 440, "interv": [1, 2, 3, 14, 29, 44, 59, 74, 89, 95, 665, 744, 774, 787, 850, 882], "introduc": 95, "introduct": [1, 432, 910, 914], "invalidlengthwarn": 434, "invers": [665, 744, 774, 787, 882], "investig": [277, 280, 433], "invoc": 914, "ipython": [3, 94, 271, 433, 434, 912, 913, 914], "irrespect": 94, "is_panda": [460, 463], "isin": 271, "issu": [95, 96, 440, 441, 442, 451, 452, 458, 907, 912], "iter": [11, 12, 24, 26, 27, 39, 41, 42, 54, 56, 57, 69, 71, 72, 84, 92, 465, 508, 525, 541, 690, 706, 795, 811, 907, 912, 913, 914], "ith": 850, "its": [10, 20, 35, 50, 65, 80, 263, 270, 271, 381, 433, 434, 914], "j": [1, 249, 250, 252, 271, 275, 276, 278, 282, 284, 444, 446, 448, 450, 451, 453, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 826, 854, 911], "jackknif": [4, 95], "jarqu": 434, "jb": 434, "jersei": 275, "jim": 95, "jit": 92, "john": [1, 279], "join": 911, "jointli": [95, 438, 445, 467], "journal": [1, 249, 251, 275, 277, 278, 280, 282, 284, 290], "jth": [516, 532, 697, 713], "judg": [275, 278], "just": [271, 911], "k": [10, 250, 251, 252, 271, 277, 278, 280, 284, 367, 381, 415, 438, 440, 441, 444, 448, 451, 452, 516, 532, 697, 713, 915], "k_n": 10, "kappa": [282, 290, 440, 914], "kappa_i": 284, "kde": 914, "kei": [12, 27, 42, 57, 72, 402, 419, 430, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "ken": 434, "kernel": [95, 281, 290, 367, 381, 390, 415, 433], "kernel_est": [283, 285, 288], "kernel_nam": 103, "kevin": [248, 453], "keyword": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 48, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 89, 95, 96], "khrapov": 94, "kind": [434, 914], "kmax": 455, "known": [251, 271, 290, 367, 381, 415, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 914], "kpss": [93, 95, 432], "kurtosi": [434, 777, 790], "kw": 87, "kw_data": [5, 6, 7, 8, 9], "kwarg": [4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 25, 26, 28, 29, 30, 40, 41, 43, 44, 45, 55, 56, 58, 59, 60, 70, 71, 73, 74, 75, 85], "kwdata": [12, 27, 42, 57, 72], "kwiatkowski": 277, "l": [4, 446, 907, 911, 914], "l1": 434, "l2": 434, "l3": 434, "l4": 434, "l5": 434, "l_": [270, 271, 440, 441, 450, 451], "l_i": [270, 271], "label": [102, 273, 913, 915], "lack": 909, "lag": [95, 96, 97, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 275, 276, 277, 278, 279, 280, 284, 285, 286, 289, 294, 295, 307, 308, 320, 331, 334, 345, 354, 359, 381, 385, 386, 405, 430, 433, 438, 440, 441, 442, 444, 446, 448, 450, 451, 452, 453, 458, 510, 516, 527, 532, 543, 617, 692, 697, 708, 713, 797, 813, 823, 827, 847, 855, 907, 911, 912, 914], "lam": 445, "lambda": [282, 287, 445, 448, 456, 769, 914], "lambda_": 446, "lambda_0": [102, 282, 287], "lambda_1": [102, 446], "lambda_i": 446, "lambda_j": [284, 446], "larg": [1, 95, 97, 271, 282, 287, 430, 433, 434, 914], "larger": [271, 437, 446, 448, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 911, 913, 915], "last": [20, 35, 50, 65, 80, 279, 282, 287, 437, 463, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 911], "last_ob": [94, 95, 437, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 911, 913], "later": [91, 97, 98, 914], "latest": [94, 248], "latex": [379, 398, 836, 871], "lceil": 10, "ldot": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 437, 911], "lead": [1, 271, 284, 285, 381, 385, 386], "least": [86, 279, 282, 287, 381, 434, 452], "leav": [4, 95], "left": [4, 10, 101, 106, 110, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 284, 287, 289, 290, 437, 438, 444, 448, 450, 453, 660, 739, 769, 782, 911, 914], "leg": 913, "legaci": 96, "legend": [911, 913, 915], "len": [475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 915], "length": [5, 7, 8, 9, 10, 90, 95, 96, 97, 250, 251, 252, 275, 276, 278, 280, 284, 289, 294, 307, 405, 433, 434, 437, 440, 441, 442, 450, 451, 452, 453, 455, 458, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 826, 854, 907, 911, 913], "leq": [106, 271], "leq1": [101, 106, 107, 108, 109, 111, 112, 113], "less": [95, 276, 914], "let": 290, "letter": 276, "level": [2, 92, 95, 434, 910], "lie": 438, "like": [4, 10, 88, 89, 270, 433, 437, 440, 441, 442, 451, 452, 458, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907, 912, 914, 915], "likelihood": [434, 463, 465, 485, 502, 568, 585, 602, 620, 637, 654, 660, 684, 733, 739, 763, 769, 782, 860, 877, 905, 907, 911, 912, 914, 915], "limit": [4, 271, 915], "linalg": 89, "line": [271, 282, 287, 913], "linear": [275, 276, 277, 278, 280, 282, 284, 287, 289, 290, 430, 434, 437, 473, 491, 504, 506, 508, 516, 521, 523, 525, 532, 537, 539, 541, 557, 574, 591, 608, 626, 643, 673, 686, 688, 690, 697, 702, 704, 706, 713, 752, 791, 793, 795, 807, 809, 811, 894], "linear_model": 381, "linspac": 271, "linux": 96, "liquid": 914, "list": [0, 18, 21, 33, 36, 39, 48, 51, 54, 63, 66, 78, 81, 95, 102, 254, 255, 258, 259, 264, 265, 268, 269, 273, 301, 302, 314, 315, 325, 326, 338, 339, 352, 353, 364, 365, 440, 441, 450, 460, 461, 462, 463, 470, 478, 489, 495, 504, 514, 521, 530, 537, 546, 555, 561, 572, 578, 589, 595, 606, 612, 624, 630, 641, 647, 656, 663, 671, 677, 686, 695, 702, 711, 720, 726, 735, 742, 750, 756, 765, 772, 778, 785, 791, 800, 807, 816, 873, 880, 892, 898, 907], "liter": 273, "literatur": [508, 525, 541, 690, 706, 795, 811], "littl": [4, 434], "ll": [660, 739, 769, 782, 914], "llf": [907, 912, 913, 914], "lm": [95, 823, 847], "ln": [284, 444, 660, 739, 769, 782], "ln2": [660, 739], "lo": 279, "load": [3, 275, 276, 277, 278, 433, 434, 440, 473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 737, 752, 767, 780, 793, 809, 875, 894, 912, 913, 914, 915], "loc": [3, 271, 913, 915], "locat": [92, 93, 248, 460, 463, 483, 500, 510, 527, 543, 566, 583, 600, 618, 635, 652, 682, 692, 708, 731, 761, 797, 813, 826, 854, 903, 907], "log": [251, 275, 276, 277, 278, 279, 433, 434, 440, 463, 485, 502, 511, 568, 585, 602, 620, 637, 654, 660, 684, 733, 739, 763, 769, 782, 824, 848, 860, 877, 905, 907, 911, 912, 914, 915], "log_": 10, "log_pric": 433, "logical_not": 271, "loglikelihood": [460, 463, 822, 824, 846, 848, 860, 914], "long": [3, 95, 97, 102, 134, 248, 275, 277, 278, 282, 287, 290, 293, 306, 319, 330, 344, 347, 354, 358, 367, 371, 381, 390, 415, 417, 421, 433, 434, 455, 911], "long_run": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "longer": [453, 913], "longlong": [18, 24, 33, 39, 48, 54, 63, 69, 78, 84, 259, 273, 440, 441, 451, 907], "look": 433, "loop": [465, 911], "loos": [485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905], "loss": [250, 251, 252, 270, 271, 295, 308, 320, 331, 345, 359], "low": [2, 4, 88, 92, 95, 275, 910], "low_memori": [275, 276], "lower": [3, 4, 14, 29, 44, 59, 74, 95, 251, 259, 261, 262, 271, 434, 470, 472, 475, 483, 485, 489, 490, 492, 500, 502, 506, 523, 539, 555, 556, 558, 566, 568, 572, 573, 575, 583, 585, 589, 590, 592, 600, 602, 606, 607, 609, 618, 620, 624, 625, 627, 635, 637, 641, 642, 644, 652, 654, 656, 664, 671, 672, 674, 682, 684, 688, 704, 720, 721, 723, 731, 733, 735, 743, 750, 751, 753, 761, 763, 765, 773, 778, 786, 793, 809, 873, 881, 892, 893, 895, 903, 905, 914], "lowest": 87, "lt": 911, "lund": [249, 250, 270], "m": [1, 4, 10, 87, 88, 249, 250, 252, 277, 279, 284, 375, 390, 394, 450, 451, 453, 833, 863], "m_": 290, "mackinlai": 279, "mackinnon": [1, 275, 278], "macrodata": [275, 276, 277, 278], "mad": 271, "made": [97, 271, 280, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 915], "magnitud": [914, 915], "mai": [4, 86, 89, 95, 289, 437, 911, 912, 914, 917], "main": [4, 913], "make": [3, 4, 14, 29, 44, 59, 74, 87, 89, 271, 434, 437, 911, 913, 914, 915], "manag": [664, 743, 773, 786, 881], "mani": [4, 271, 278, 432, 437, 911, 914], "manner": 89, "manual": [451, 907], "manuscript": 453, "map": [17, 23, 32, 38, 47, 53, 62, 68, 77, 83], "marcellino": 453, "march": 248, "marker": 913, "market": [3, 279, 434, 913, 914], "massimiliano": 453, "match": [4, 10, 97, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "mathemat": [4, 911], "mathodologi": 278, "mathrm": 290, "matlab": 10, "matplotlib": [3, 271, 408, 424, 433, 434, 911, 912, 913, 914, 915], "matric": [282, 287], "matrix": [3, 277, 278, 282, 287, 334, 433, 434, 463, 508, 525, 541, 690, 706, 795, 811, 911], "max": [3, 4, 10, 87, 88, 95, 97, 250, 433, 434, 516, 532, 697, 713, 911, 914], "max_i": [270, 271], "max_lag": [275, 276, 280, 284, 289, 434], "max_lead": 284, "maximum": [10, 275, 276, 280, 284, 289, 294, 307, 405, 437, 453, 907, 911, 912, 914, 915], "maxit": [508, 525, 541, 690, 706, 795, 811], "maxlag": 275, "mbb": [250, 251, 252], "mc": [94, 95, 271], "mcp": 270, "mean": [3, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 94, 95, 96, 271, 279, 433, 434, 437, 440, 442, 447, 458, 459, 461, 467, 472, 490, 509, 510, 511, 514, 516, 517, 526, 527, 530, 532, 533, 542, 543, 546, 548, 549, 556, 573, 590, 607, 625, 642, 672, 691, 692, 695, 697, 698, 707, 708, 711, 713, 714, 721, 751, 796, 797, 800, 802, 803, 812, 813, 816, 819, 826, 827, 854, 855, 893, 907, 910, 913, 915, 917], "mean_diff": 3, "meaning": 913, "meaningfulli": 89, "measur": [3, 271, 433, 508, 525, 541, 690, 706, 795, 811], "medic": 1, "medicin": 1, "memori": [95, 275], "metaclass": 465, "method": [1, 3, 5, 6, 7, 8, 9, 14, 29, 44, 59, 74, 87, 88, 94, 95, 96, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 379, 398, 433, 434, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 475, 492, 508, 510, 525, 527, 541, 543, 558, 575, 592, 609, 627, 644, 674, 690, 692, 706, 708, 723, 753, 795, 797, 811, 813, 826, 827, 839, 854, 855, 895, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917], "methodologi": [261, 381, 914], "michael": 95, "mida": [95, 453], "midashyperbol": 95, "might": [433, 434, 914, 915], "mimic": 95, "min": [3, 4, 10, 87, 88, 433, 434, 913, 914], "min_i": 270, "minim": [95, 284, 434, 437, 508, 525, 541, 690, 706, 795, 811, 851], "minimum": [89, 91, 96, 97, 98, 275, 276, 280], "minor": 95, "minu": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 279, 437], "miss": [911, 912], "mix": [4, 453], "mkt": [3, 434], "mle": [89, 505, 522, 538, 687, 703, 792, 808], "mod": [3, 451, 911, 912, 915], "mode": [437, 907, 912, 913, 914], "model": [89, 93, 94, 95, 97, 248, 249, 250, 251, 252, 253, 254, 255, 256, 259, 265, 266, 269, 272, 280, 284, 285, 286, 287, 289, 293, 298, 306, 311, 319, 330, 344, 358, 367, 374, 375, 376, 379, 381, 385, 388, 389, 390, 393, 394, 395, 398, 415, 430, 433, 434, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 465, 467, 469, 471, 472, 474, 475, 477, 478, 479, 481, 483, 485, 488, 490, 492, 494, 495, 496, 498, 500, 502, 505, 508, 509, 510, 512, 514, 515, 516, 517, 519, 522, 525, 526, 527, 528, 530, 531, 532, 533, 535, 538, 541, 542, 543, 544, 546, 547, 548, 549, 551, 554, 556, 558, 560, 561, 562, 564, 566, 568, 571, 573, 575, 577, 578, 579, 581, 583, 585, 588, 590, 592, 594, 595, 596, 598, 600, 602, 605, 607, 609, 611, 612, 613, 615, 618, 620, 623, 625, 627, 629, 630, 631, 633, 635, 637, 640, 642, 644, 646, 647, 648, 650, 652, 654, 670, 672, 674, 676, 677, 678, 680, 682, 684, 687, 690, 691, 692, 693, 695, 696, 697, 698, 700, 703, 706, 707, 708, 709, 711, 712, 713, 714, 716, 719, 721, 723, 725, 726, 727, 729, 731, 733, 749, 751, 753, 755, 756, 757, 759, 761, 763, 792, 795, 796, 797, 798, 800, 801, 802, 803, 805, 808, 811, 812, 813, 814, 815, 816, 817, 819, 823, 826, 827, 828, 830, 831, 832, 834, 836, 847, 854, 855, 856, 858, 859, 862, 865, 868, 871, 877, 891, 893, 895, 897, 898, 899, 901, 903, 905, 913, 915, 917], "model_beta": 271, "model_factor": 271, "model_loss": 271, "modif": [270, 276], "modifi": [3, 4, 271, 282, 287, 432, 433, 465], "modul": [1, 2, 95, 248, 249, 272, 280, 432], "moment": [4, 95, 664, 743, 773, 777, 786, 790, 881], "momentum": 434, "mon": [434, 911, 912, 914, 915], "mont": [277, 280, 910], "month": [279, 434], "monthli": [4, 87, 88, 833, 863], "monthly_d": [4, 87, 88], "more": [3, 4, 89, 95, 271, 275, 276, 278, 280, 437, 450, 664, 743, 773, 786, 881, 914, 915], "most": [3, 89, 430, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 833, 854, 863, 907, 911, 914, 915], "move": [90, 92, 250, 251, 252, 445, 914], "movingblockbootstrap": 90, "mse": 271, "mu": [3, 4, 88, 437, 440, 441, 442, 451, 452, 548, 907, 913, 914, 915], "mu_": 913, "much": [510, 527, 543, 692, 708, 797, 813, 911, 914, 915], "multi": [96, 279, 434, 437], "multi_forecast": 911, "multicollinear": 434, "multipl": [3, 14, 29, 44, 59, 74, 87, 93, 248, 249, 252, 279, 432, 434, 472, 490, 556, 573, 590, 607, 625, 642, 672, 721, 751, 893], "multipli": [367, 381, 415], "multivari": 433, "must": [3, 4, 5, 6, 7, 8, 9, 11, 14, 15, 24, 25, 26, 29, 30, 39, 40, 41, 44, 45, 54, 55, 56, 59, 60, 69, 70, 71, 74, 75, 84, 85, 89, 91, 98, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 260, 279, 282, 284, 287, 436, 438, 440, 465, 475, 492, 507, 509, 510, 518, 524, 526, 527, 534, 540, 542, 543, 550, 558, 575, 592, 609, 627, 644, 674, 689, 691, 692, 699, 705, 707, 708, 715, 723, 753, 794, 796, 797, 804, 810, 812, 813, 820, 826, 827, 854, 855, 895, 908, 911, 917], "mutat": 95, "n": [1, 3, 10, 273, 275, 278, 279, 282, 283, 284, 285, 287, 289, 290, 433, 437, 451, 661, 664, 740, 743, 770, 773, 783, 786, 878, 881, 911, 914, 915], "naiv": 911, "name": [2, 3, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 95, 100, 104, 105, 254, 255, 256, 259, 269, 271, 290, 367, 381, 415, 421, 434, 440, 451, 460, 463, 478, 495, 510, 514, 527, 530, 543, 546, 561, 578, 595, 612, 630, 647, 663, 677, 692, 695, 708, 711, 726, 742, 756, 772, 785, 797, 800, 813, 816, 826, 854, 880, 898, 907, 911, 912, 913, 915, 916], "nan": [94, 271, 437, 460, 463, 471, 474, 485, 502, 510, 527, 543, 568, 585, 602, 620, 637, 654, 684, 692, 708, 733, 763, 797, 813, 826, 854, 905, 911, 914], "nasdaq": 915, "nason": [249, 250, 270], "natur": [3, 86, 911], "nc": [430, 434], "ncol": 913, "ndarrai": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 62, 63, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 77, 78, 81, 82, 83, 84, 85, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 250, 251, 252, 258, 259, 264, 265, 268, 273, 275, 276, 277, 278, 279, 280, 281, 282, 284, 287, 289, 290, 303, 316, 327, 340, 355, 366, 440, 441, 442, 447, 451, 452, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 509, 510, 515, 516, 517, 519, 520, 522, 523, 525, 526, 527, 531, 532, 533, 535, 536, 538, 539, 541, 542, 543, 547, 548, 549, 551, 552, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 661, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 691, 692, 696, 697, 698, 700, 701, 703, 704, 706, 707, 708, 712, 713, 714, 716, 717, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 740, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 770, 773, 774, 776, 777, 778, 779, 780, 782, 783, 786, 787, 789, 790, 792, 793, 795, 796, 797, 801, 802, 803, 805, 806, 808, 809, 811, 812, 813, 817, 818, 819, 821, 825, 826, 827, 834, 835, 842, 843, 844, 845, 849, 854, 855, 865, 870, 873, 874, 875, 877, 878, 881, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 907, 911], "ndarrayorfram": 273, "nearli": 913, "necessari": [4, 89, 911], "need": [14, 29, 44, 59, 74, 89, 290, 433, 911, 913, 915], "neerlandica": 277, "neg": [434, 437, 827, 855, 907, 912, 913, 914], "nep": 95, "nest": [4, 14, 29, 44, 59, 74, 251, 252], "never": 251, "new": [24, 39, 54, 69, 84, 95, 275, 440, 441, 442, 451, 452, 458, 907], "new_idx": 915, "newei": [101, 277, 278, 281, 290, 334, 367, 381, 415, 434], "next": [3, 24, 39, 54, 69, 84, 271, 451, 911, 913, 914, 915], "nforecast": [510, 527, 543, 692, 708, 797, 813, 826, 854], "ng": 276, "nj": 279, "nob": [277, 278, 440, 441, 442, 451, 452, 458, 479, 496, 510, 516, 527, 532, 543, 548, 562, 579, 596, 613, 631, 648, 678, 692, 697, 708, 713, 727, 757, 797, 802, 813, 818, 824, 825, 826, 848, 849, 854, 877, 886, 899, 911, 914], "nois": [271, 434], "non": [4, 89, 95, 277, 279, 434, 437, 451, 504, 506, 508, 521, 523, 525, 537, 539, 541, 686, 688, 690, 702, 704, 706, 791, 793, 795, 802, 807, 809, 811, 827, 855, 914], "none": [3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 20, 21, 22, 25, 26, 27, 28, 29, 30, 35, 36, 37, 40, 41, 42, 43, 44, 45, 50, 51, 52, 55, 56, 57, 58, 59, 60, 65, 66, 67, 70, 71, 72, 73, 74, 75, 80, 81, 82, 85, 89, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 253, 257, 258, 260, 263, 264, 265, 266, 267, 268, 273, 275, 276, 277, 278, 280, 282, 284, 286, 287, 288, 289, 290, 294, 307, 367, 381, 405, 408, 415, 424, 430, 438, 440, 441, 442, 445, 449, 451, 452, 454, 456, 457, 458, 459, 461, 462, 463, 464, 466, 475, 479, 492, 496, 505, 508, 509, 510, 515, 516, 519, 520, 522, 525, 526, 527, 531, 532, 535, 536, 538, 541, 542, 543, 547, 548, 551, 552, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 657, 661, 664, 665, 674, 678, 687, 690, 691, 692, 696, 697, 700, 701, 703, 706, 707, 708, 712, 713, 716, 717, 723, 727, 736, 740, 743, 744, 753, 757, 766, 770, 773, 774, 779, 783, 786, 787, 792, 795, 796, 797, 801, 802, 805, 806, 808, 811, 812, 813, 817, 818, 821, 823, 826, 827, 833, 842, 843, 844, 845, 847, 854, 855, 863, 874, 878, 881, 882, 887, 888, 889, 895, 899, 907, 911, 913, 914], "nonparametr": [14, 29, 44, 59, 74, 89], "nonrobust": [95, 434], "norg": 453, "norm": [14, 29, 44, 59, 74], "normal": [14, 29, 44, 59, 74, 89, 96, 271, 437, 453, 668, 907, 911, 912, 913, 914, 915], "notabl": 95, "notat": 463, "note": [5, 6, 7, 8, 9, 10, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 250, 251, 252, 259, 260, 270, 275, 276, 277, 278, 279, 280, 282, 284, 287, 289, 290, 375, 381, 390, 394, 411, 434, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 455, 456, 458, 465, 473, 475, 491, 492, 506, 508, 509, 510, 523, 525, 526, 527, 539, 541, 542, 543, 557, 558, 574, 575, 591, 592, 608, 609, 626, 627, 643, 644, 658, 660, 664, 668, 673, 674, 688, 690, 691, 692, 704, 706, 707, 708, 722, 723, 737, 739, 743, 747, 752, 753, 767, 769, 773, 777, 780, 782, 786, 790, 793, 795, 796, 797, 809, 811, 812, 813, 826, 854, 875, 877, 881, 885, 894, 895, 907, 911, 913, 915], "notebook": [3, 94, 97, 271, 433, 434, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 912, 913, 914], "noth": [508, 525, 541, 690, 706, 795, 811], "notimplementederror": [459, 475, 486, 492, 503, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 723, 734, 753, 764, 895, 906], "nov": [434, 911, 912, 914, 915], "novel": 276, "now": [94, 95, 96, 510, 527, 543, 692, 708, 797, 813], "np": [3, 4, 5, 6, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 271, 275, 276, 277, 278, 279, 433, 440, 441, 442, 449, 451, 452, 454, 456, 457, 458, 516, 532, 548, 697, 713, 802, 911, 912, 913, 914, 915], "nparam": [11, 26, 41, 56, 71], "nu": [660, 782, 914], "null": [270, 271, 275, 276, 277, 278, 279, 286, 288, 289, 290, 296, 309, 321, 332, 346, 360, 403, 407, 420, 423, 430, 432, 433, 434, 872, 916], "num_param": [822, 824, 846, 848], "num_x": [283, 285], "numba": [92, 97], "number": [1, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 21, 22, 25, 26, 27, 29, 30, 32, 36, 37, 40, 41, 42, 44, 45, 47, 51, 52, 55, 56, 57, 59, 60, 62, 66, 67, 70, 71, 72, 74, 75, 77, 81, 82, 85, 89, 91, 94, 95, 96, 98, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 250, 251, 252, 258, 264, 268, 271, 275, 276, 277, 278, 279, 280, 284, 285, 286, 289, 292, 293, 295, 305, 306, 308, 318, 319, 320, 329, 330, 331, 334, 342, 344, 345, 357, 358, 359, 367, 375, 381, 388, 389, 390, 394, 403, 404, 405, 415, 420, 430, 432, 437, 440, 441, 442, 449, 451, 452, 454, 455, 456, 457, 458, 473, 475, 477, 479, 485, 491, 492, 494, 496, 502, 506, 509, 510, 513, 516, 523, 526, 527, 529, 532, 539, 542, 543, 545, 548, 557, 558, 560, 562, 568, 574, 575, 577, 579, 585, 591, 592, 594, 596, 602, 608, 609, 611, 613, 620, 626, 627, 629, 631, 637, 643, 644, 646, 648, 654, 673, 674, 676, 678, 684, 688, 691, 692, 694, 697, 704, 707, 708, 710, 713, 723, 725, 727, 733, 752, 753, 755, 757, 763, 793, 796, 797, 799, 802, 809, 812, 813, 815, 823, 826, 827, 830, 831, 847, 854, 855, 858, 859, 894, 895, 897, 899, 905, 907, 911, 913, 914, 915], "numer": [95, 279, 433, 434, 483, 500, 505, 522, 538, 566, 583, 600, 618, 635, 652, 682, 687, 703, 731, 761, 792, 808, 860, 903, 912], "numpi": [2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 19, 25, 26, 27, 29, 30, 34, 40, 41, 42, 44, 45, 49, 55, 56, 57, 59, 60, 64, 70, 71, 72, 74, 75, 79, 85, 87, 89, 91, 95, 96, 97, 98, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 250, 251, 252, 271, 273, 275, 276, 277, 278, 433, 440, 441, 442, 451, 452, 458, 473, 475, 479, 481, 485, 491, 492, 496, 498, 502, 506, 510, 515, 516, 517, 523, 527, 531, 532, 533, 539, 543, 547, 548, 549, 557, 558, 562, 564, 568, 574, 575, 579, 581, 585, 591, 592, 596, 598, 602, 608, 609, 613, 615, 620, 626, 627, 631, 633, 637, 643, 644, 648, 650, 654, 657, 658, 659, 666, 668, 673, 674, 678, 680, 684, 688, 692, 696, 697, 698, 704, 708, 712, 713, 714, 723, 727, 729, 733, 736, 737, 738, 745, 747, 748, 752, 753, 757, 759, 763, 766, 767, 768, 775, 777, 779, 780, 781, 788, 790, 793, 797, 801, 802, 803, 809, 813, 817, 819, 826, 854, 874, 875, 876, 883, 885, 894, 895, 899, 901, 905, 911, 912, 913, 914, 915], "nvar": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113], "nw": 281, "o": [271, 437, 438, 444, 448, 802, 907, 912, 913, 914, 915], "object": [95, 430, 437, 460, 463, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 836, 871, 909, 912, 913, 914, 915], "observ": [3, 7, 90, 94, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 271, 277, 279, 290, 292, 295, 305, 308, 318, 320, 329, 331, 342, 345, 357, 359, 434, 437, 440, 441, 442, 451, 452, 458, 463, 475, 479, 483, 492, 496, 500, 505, 508, 509, 510, 522, 525, 526, 527, 538, 541, 542, 543, 558, 562, 566, 575, 579, 583, 592, 596, 600, 609, 613, 618, 627, 631, 635, 644, 648, 652, 674, 678, 682, 687, 690, 691, 692, 703, 706, 707, 708, 723, 727, 731, 753, 757, 761, 792, 795, 796, 797, 808, 811, 812, 813, 826, 827, 854, 855, 895, 899, 903, 907, 911, 912, 913, 914, 915], "obtain": [275, 278], "occur": [97, 433, 510, 527, 543, 692, 708, 797, 813, 911], "off": [280, 441, 508, 525, 541, 690, 706, 795, 811, 833, 863, 911, 912, 913, 914, 915], "offer": [4, 914], "often": [95, 517, 533, 549, 698, 714, 803, 819, 914], "oil": [280, 433], "ok": 433, "ol": [89, 96, 271, 276, 284, 285, 286, 287, 298, 311, 334, 367, 381, 415, 432, 434], "old": [92, 277], "ols_para": 89, "ols_parti": 89, "ols_semi_v2": 89, "omega": [102, 282, 287, 290, 437, 438, 439, 444, 446, 448, 450, 453, 722, 907, 911, 912, 914, 915], "omega_": [282, 287], "omega_112": 283, "omit": [275, 276, 277, 278, 280, 516, 532, 697, 713], "omnibu": 434, "onc": 911, "one": [4, 10, 95, 102, 135, 136, 271, 278, 282, 287, 290, 434, 437, 473, 491, 548, 557, 574, 591, 608, 626, 643, 673, 752, 894, 911, 913, 914, 915], "one_sid": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "one_sided_strict": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "ones": 3, "onli": [2, 3, 4, 7, 89, 94, 95, 251, 271, 277, 278, 279, 375, 394, 398, 433, 434, 437, 464, 483, 500, 510, 527, 543, 566, 583, 600, 618, 635, 652, 682, 692, 708, 731, 761, 797, 813, 826, 827, 854, 855, 903, 907, 911, 913, 914, 915], "oom": 277, "op": 97, "oper": [10, 446], "opt": [3, 10], "optim": [5, 8, 9, 10, 95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 119, 122, 123, 124, 125, 129, 132, 133, 138, 139, 143, 146, 147, 148, 149, 153, 156, 157, 158, 159, 163, 166, 167, 168, 169, 173, 176, 177, 178, 179, 183, 186, 187, 188, 189, 193, 196, 197, 198, 199, 203, 206, 207, 208, 209, 213, 216, 217, 218, 219, 223, 226, 227, 228, 229, 233, 236, 237, 238, 239, 243, 246, 247, 281, 284, 290, 367, 381, 415, 463, 504, 506, 508, 521, 523, 525, 537, 539, 541, 656, 658, 668, 686, 688, 690, 702, 704, 706, 735, 737, 747, 765, 767, 777, 778, 780, 790, 791, 793, 795, 807, 809, 811, 851, 860, 873, 875, 885, 907, 912, 913, 914, 915], "optim_output": 463, "optim_result": 860, "optimal_block_length": [3, 5, 8, 9], "optimization_result": 95, "optimizeresult": [463, 860], "optimum": [508, 525, 541, 690, 706, 795, 811], "option": [89, 95, 250, 251, 252, 271, 275, 290, 434, 441, 451, 459, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 907, 908, 914, 917], "order": [4, 5, 6, 7, 8, 9, 87, 91, 98, 284, 286, 288, 433, 438, 439, 444, 446, 448, 516, 532, 548, 661, 664, 697, 713, 740, 743, 770, 773, 783, 786, 802, 878, 881, 907, 911], "ordereddict": 914, "ordin": 381, "org": [3, 248, 275, 278], "origin": [3, 4, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 89, 95, 271, 280, 437, 460, 461, 463, 510, 527, 543, 692, 708, 797, 813, 826, 854, 868, 912], "osx": 96, "other": [3, 4, 89, 93, 95, 97, 270, 271, 290, 433, 434, 438, 445, 446, 448, 911, 914, 915, 916], "otherwis": [23, 38, 53, 68, 83, 868], "ouliari": [95, 289, 290, 432], "out": [4, 94, 95, 437, 510, 527, 543, 692, 708, 797, 813, 908, 913, 915], "outer": 4, "outperform": 271, "output": [12, 27, 42, 57, 72, 88, 271, 508, 525, 541, 667, 690, 706, 746, 776, 789, 795, 811, 884, 907, 913, 914], "over": [12, 27, 42, 57, 72, 94, 915], "overflowerror": 95, "overlap": [95, 279, 434, 451], "overli": 96, "overrid": [459, 833, 863], "overridden": [24, 39, 54, 69, 84, 434, 459], "p": [1, 4, 87, 88, 96, 249, 250, 251, 252, 256, 259, 261, 262, 265, 270, 271, 275, 276, 277, 278, 284, 287, 290, 297, 300, 310, 313, 322, 324, 333, 336, 348, 351, 361, 363, 373, 375, 392, 394, 409, 411, 413, 425, 428, 430, 433, 434, 437, 438, 439, 440, 441, 444, 446, 448, 451, 516, 532, 697, 713, 802, 864, 907, 911, 912, 913, 914, 915, 916], "p_u": 433, "p_z": 433, "pa": 281, "packag": [90, 91, 95, 98, 248, 912], "page": [0, 916], "palgrav": 1, "panda": [2, 3, 4, 5, 6, 7, 8, 9, 10, 87, 88, 91, 95, 96, 97, 98, 256, 261, 262, 271, 273, 402, 419, 430, 434, 451, 460, 463, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 826, 827, 850, 854, 855, 911, 913, 914, 915], "pandas_dataread": [4, 87, 88, 279, 430, 437, 907], "panel": [510, 527, 543, 692, 708, 797, 813, 826, 854], "paper": [271, 275, 278, 280, 456], "param": [3, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 88, 89, 271, 283, 285, 437, 460, 463, 505, 509, 510, 515, 516, 522, 526, 527, 531, 532, 538, 542, 543, 547, 548, 687, 691, 692, 696, 697, 703, 707, 708, 712, 713, 792, 796, 797, 801, 802, 808, 812, 813, 817, 818, 826, 827, 854, 855, 911, 913, 914], "param_cov": [88, 463], "paramet": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 21, 22, 25, 26, 27, 28, 29, 30, 35, 36, 37, 40, 41, 42, 43, 44, 45, 50, 51, 52, 55, 56, 57, 58, 59, 60, 65, 66, 67, 70, 71, 72, 73, 74, 75, 80, 81, 82, 85, 88, 89, 94, 95, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 258, 259, 261, 264, 265, 268, 271, 275, 276, 277, 278, 279, 280, 281, 282, 284, 285, 286, 287, 289, 290, 367, 368, 369, 371, 372, 373, 378, 379, 380, 381, 382, 383, 384, 385, 386, 390, 391, 392, 397, 398, 399, 408, 415, 424, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 460, 461, 462, 463, 465, 466, 467, 468, 469, 470, 472, 473, 475, 477, 478, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 494, 495, 496, 498, 500, 502, 504, 505, 506, 508, 509, 510, 513, 514, 515, 516, 521, 522, 523, 525, 526, 527, 529, 530, 531, 532, 537, 538, 539, 541, 542, 543, 545, 546, 547, 548, 553, 554, 555, 556, 557, 558, 560, 561, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 577, 578, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 594, 595, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 611, 612, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 629, 630, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 646, 647, 648, 650, 652, 654, 656, 657, 658, 660, 661, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 676, 677, 678, 680, 682, 684, 686, 687, 688, 690, 691, 692, 694, 695, 696, 697, 702, 703, 704, 706, 707, 708, 710, 711, 712, 713, 718, 719, 720, 721, 722, 723, 725, 726, 727, 729, 731, 733, 735, 736, 737, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 755, 756, 757, 759, 761, 763, 765, 766, 767, 769, 770, 772, 773, 774, 776, 777, 778, 779, 780, 782, 783, 785, 786, 787, 789, 790, 791, 792, 793, 795, 796, 797, 799, 800, 801, 802, 807, 808, 809, 811, 812, 813, 815, 816, 817, 823, 826, 827, 831, 832, 833, 847, 850, 852, 853, 854, 855, 859, 861, 862, 863, 868, 869, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 886, 890, 891, 892, 893, 894, 895, 897, 898, 899, 901, 903, 905, 907, 909, 911, 912, 913, 915, 916, 917], "parameterless": [657, 661, 664, 665, 736, 740, 743, 744, 766, 770, 773, 774, 779, 783, 786, 787, 874, 878, 881, 882, 914], "parametr": [2, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 451], "park": 282, "part": 95, "partial": [95, 664, 743, 773, 786, 881], "partial_mo": 95, "particular": [437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 915], "partit": [282, 287], "parzen": [95, 104, 107, 108, 109, 113, 281, 290, 367, 381, 415], "pass": [3, 5, 6, 7, 8, 9, 12, 13, 15, 25, 27, 28, 30, 40, 42, 43, 45, 55, 57, 58, 60, 70, 72, 73, 75, 85, 87, 89, 95, 96, 449, 454, 456, 457, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 911, 913, 914], "path": [437, 466, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 841, 887, 889, 895, 911, 913], "patter": 4, "pattern": 915, "patton": 10, "pct_chang": [4, 87, 88, 437, 440, 907, 913, 914, 915], "pd": [3, 4, 87, 88, 271, 434, 510, 527, 543, 692, 708, 797, 813, 827, 855, 911, 913, 914, 915], "pdf": 456, "pdr": 279, "peak": 914, "per": [3, 280], "percentag": 280, "percentil": [3, 14, 29, 44, 59, 74, 89], "perform": [89, 95, 97, 270, 271, 280, 286, 465], "period": [279, 280, 347, 354, 433, 434, 437, 443, 451, 453, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 911, 915], "permit": 907, "perron": [93, 96, 276, 278, 289, 290, 432, 433], "persist": [4, 432, 434], "pessimist": 280, "phi": [4, 290, 446], "phi0": 911, "phi1": 911, "phi_": [440, 441, 451, 453], "phi_0": 911, "phi_1": 911, "phi_i": 453, "philip": 278, "phillip": [93, 95, 277, 278, 287, 289, 290, 432], "phillips_ouliari": [95, 289, 432, 433], "phillipsouliaristestresult": 290, "phillipsperron": [95, 289, 290, 432, 434], "pi": [110, 111, 112, 113, 444, 739, 769, 782], "pick": 434, "pinv": 89, "pit": [665, 744, 774, 787, 882], "place": 95, "plain": 89, "plan": 248, "pleas": [248, 510, 527, 543, 692, 708, 797, 813, 826, 854], "plot": [94, 271, 433, 434, 437, 827, 855, 912, 913, 914, 915], "plot_typ": [827, 855], "plt": [3, 271, 433, 434, 911, 912, 913, 914, 915], "plu": [279, 516, 532, 697, 713], "pm": 10, "po": 87, "po_pu_test": 433, "po_pz_test": 433, "po_za_test": 433, "po_zt_test": 433, "point": [446, 475, 479, 492, 496, 510, 516, 527, 532, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 660, 674, 678, 692, 697, 708, 713, 723, 727, 739, 753, 757, 769, 782, 797, 813, 826, 830, 854, 858, 895, 899, 911, 915], "politi": [1, 5, 8, 9, 10], "politisromanowolf": 1, "poor": 465, "poorli": 95, "popular": 907, "portfolio": 430, "pos_data": [5, 6, 7, 8, 9], "posdata": [12, 27, 42, 57, 72], "posit": [5, 6, 7, 8, 9, 12, 13, 27, 28, 42, 43, 48, 57, 58, 72, 73, 87, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 271, 278, 279, 434, 437, 446, 448, 510, 527, 543, 692, 708, 797, 813, 825, 826, 849, 854, 911], "possibl": [95, 433, 434, 911], "possibli": 279, "potenti": 270, "power": [95, 96, 115, 125, 139, 149, 159, 169, 179, 189, 199, 209, 219, 229, 239, 280, 434, 438, 446, 448, 485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905, 907, 911, 913, 914], "powershel": 96, "pp": [278, 433, 434], "ppf": 913, "pq": 276, "practic": [1, 97], "practition": 1, "pre": [95, 433, 437, 448, 505, 522, 538, 687, 703, 792, 808], "precis": [911, 915], "precomput": 465, "predict": [249, 251, 434, 911], "predictor": 271, "prefer": 271, "preliminari": 915, "premium": [430, 434], "prentic": 275, "presenc": [279, 280], "present": 89, "preserv": 95, "press": [1, 275, 278, 279], "prevent": 95, "previou": [3, 89, 434, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 912], "previous": [14, 29, 44, 59, 74, 94, 912, 914, 915], "price": [280, 433], "primari": 271, "primarili": 265, "prime": [102, 287], "princeton": [275, 278, 279], "print": [3, 271, 275, 276, 277, 278, 279, 430, 434, 437, 451, 508, 525, 541, 690, 706, 795, 811, 907, 911, 912, 913, 914, 915], "prior": [437, 510, 527, 543, 692, 708, 797, 813], "privat": [459, 908], "prng": [13, 16, 28, 31, 43, 46, 58, 61, 73, 76], "prob": [434, 850], "probabl": [270, 271, 665, 744, 774, 787, 882], "probit_wrap": 3, "probit_wrap_start_param": 3, "problem": [12, 27, 42, 57, 72, 89, 96, 434], "procedur": [93, 248, 251, 252, 270, 271], "process": [95, 96, 279, 280, 290, 430, 432, 433, 434, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 455, 458, 459, 476, 484, 486, 493, 501, 503, 516, 518, 532, 534, 548, 550, 559, 567, 569, 576, 584, 586, 593, 601, 603, 610, 619, 621, 628, 636, 638, 645, 653, 655, 675, 683, 685, 697, 699, 713, 715, 724, 732, 734, 754, 762, 764, 802, 804, 820, 837, 840, 844, 896, 904, 906, 907, 908, 910, 911, 913], "produc": [4, 12, 27, 42, 57, 72, 89, 95, 96, 270, 271, 290, 367, 381, 415, 437, 440, 441, 442, 446, 448, 451, 452, 458, 465, 475, 485, 492, 502, 510, 527, 543, 558, 568, 575, 585, 592, 602, 609, 620, 627, 637, 644, 654, 674, 684, 692, 708, 723, 733, 753, 763, 777, 790, 797, 813, 826, 827, 829, 833, 843, 854, 855, 857, 863, 895, 905, 907, 909, 910, 913, 914, 915], "product": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 290], "program": 10, "project": 96, "properti": [5, 6, 7, 8, 9, 16, 18, 19, 23, 31, 33, 34, 38, 46, 48, 49, 53, 61, 63, 64, 68, 76, 78, 79, 83, 96, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 250, 251, 252, 254, 255, 256, 262, 269, 275, 276, 277, 278, 279, 280, 283, 285, 286, 288, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 380, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 399, 400, 401, 402, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 425, 426, 427, 429, 433, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 471, 474, 476, 477, 480, 482, 484, 486, 493, 494, 497, 499, 501, 503, 507, 510, 511, 512, 513, 518, 519, 520, 524, 527, 528, 529, 534, 535, 536, 540, 543, 544, 545, 550, 551, 552, 559, 560, 563, 565, 567, 569, 576, 577, 580, 582, 584, 586, 593, 594, 597, 599, 601, 603, 610, 611, 614, 616, 617, 619, 621, 628, 629, 632, 634, 636, 638, 645, 646, 649, 651, 653, 655, 659, 662, 666, 675, 676, 679, 681, 683, 685, 689, 692, 693, 694, 699, 700, 701, 705, 708, 709, 710, 715, 716, 717, 724, 725, 728, 730, 732, 734, 738, 741, 745, 754, 755, 758, 760, 762, 764, 768, 771, 775, 781, 784, 788, 794, 797, 798, 799, 804, 805, 806, 810, 813, 814, 815, 820, 821, 822, 824, 825, 826, 828, 829, 830, 831, 832, 834, 835, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 849, 851, 852, 853, 854, 856, 857, 858, 859, 860, 861, 862, 864, 865, 866, 867, 868, 869, 870, 872, 876, 879, 883, 887, 888, 889, 896, 897, 900, 902, 904, 906, 908, 909, 914, 916], "property_cach": 95, "proport": 447, "propto": 453, "provid": [2, 3, 5, 6, 8, 9, 11, 14, 20, 26, 29, 35, 41, 44, 50, 56, 59, 65, 71, 74, 80, 89, 95, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 124, 138, 148, 158, 168, 178, 188, 198, 208, 218, 228, 238, 250, 251, 252, 284, 290, 367, 381, 415, 436, 437, 438, 445, 449, 454, 456, 457, 469, 488, 508, 510, 525, 527, 541, 543, 554, 571, 588, 605, 623, 640, 670, 690, 692, 706, 708, 719, 749, 795, 797, 811, 813, 826, 827, 833, 854, 855, 863, 891, 908, 910, 911, 912, 914, 915, 917], "pseudo": [3, 89], "pu": [290, 433], "public": [436, 459, 908, 917], "pure": [434, 465], "purpos": [92, 911, 917], "push": 97, "pval": [262, 916], "pvalu": [94, 259, 260, 261, 271, 275, 276, 277, 278, 279, 286, 288, 430], "pvalue_typ": 259, "py": 434, "pyplot": [3, 271, 433, 434, 911, 912, 913, 914, 915], "pyproject": 95, "python": [92, 95, 96, 97, 465, 911, 913], "pyx": 465, "pz": [290, 433], "p\u1d64": 290, "q": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 281, 284, 375, 394, 437, 438, 444, 446, 448, 802, 907, 912, 913, 914, 915], "q_": 913, "qed": [275, 278], "qu": [96, 276], "quad": 769, "quadrat": [110, 275, 281, 282, 284, 287, 289, 290, 367, 381, 415, 430, 433], "quadraticspectr": 100, "qualiti": 1, "quantil": [4, 913], "quantiti": [3, 433, 827, 855, 914], "quartil": 3, "queen": [275, 278], "question": 271, "quickli": [914, 915], "quinn": 284, "quit": [433, 911], "r": [1, 3, 5, 7, 8, 9, 88, 249, 250, 251, 276, 434, 463, 866, 867, 907, 911, 912, 914, 915], "r2": [451, 463], "r_": [89, 913], "r_t": [437, 907, 914], "rabba": 95, "rais": [95, 96, 459, 475, 486, 492, 503, 508, 510, 525, 527, 541, 543, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 690, 692, 706, 708, 723, 734, 753, 764, 795, 797, 811, 813, 895, 906], "rand": 87, "randint": 915, "randn": [11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 89, 271, 441, 442, 451, 452, 458, 516, 532, 697, 713], "random": [3, 5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 19, 21, 22, 25, 26, 27, 29, 30, 32, 34, 36, 37, 40, 41, 42, 44, 45, 47, 49, 51, 52, 55, 56, 57, 59, 60, 62, 64, 66, 67, 70, 71, 72, 74, 75, 77, 79, 81, 82, 85, 87, 89, 95, 96, 258, 264, 268, 271, 279, 434, 437, 441, 442, 449, 451, 452, 454, 456, 457, 458, 475, 479, 492, 496, 510, 516, 527, 532, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 697, 708, 713, 723, 727, 753, 757, 797, 813, 826, 854, 895, 899, 911, 914], "random_st": [5, 6, 7, 8, 9, 95, 96, 449, 454, 456, 457, 464, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 854, 895, 915], "randomst": [3, 5, 6, 7, 8, 9, 13, 16, 19, 23, 28, 31, 34, 38, 43, 46, 49, 53, 58, 61, 64, 68, 73, 76, 79, 83, 89, 95, 96, 250, 251, 252, 449, 451, 454, 456, 457, 464, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 659, 666, 674, 692, 708, 723, 738, 745, 753, 768, 775, 781, 788, 797, 813, 826, 854, 876, 883, 895, 911, 914, 915], "randomstatest": 273, "rang": [271, 280, 434, 911, 912, 913, 915], "rank": [3, 95], "rapidli": 915, "rare": 89, "rate": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 252, 270, 271, 272, 433, 434], "rather": [10, 96, 270, 271, 276, 280, 437, 913, 914], "ratio": [4, 87, 88, 93, 279, 290, 343, 354, 432, 433], "ravel": 89, "rc": [3, 271, 433, 434, 911, 912, 913, 914, 915], "rceil": 10, "re": [251, 271, 278, 433, 437, 440, 441, 442, 451, 452, 458, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 907, 911, 913, 914, 915], "real": [271, 911], "realist": 450, "realiti": [249, 251, 271], "realitycheck": [270, 271], "realiz": [271, 510, 527, 543, 692, 708, 797, 813, 826, 854], "realli": 911, "reason": [3, 90, 271, 434, 915], "recent": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 248, 251, 290, 911], "recommend": [90, 459, 465], "recov": 911, "recurs": [92, 437, 446, 468, 472, 475, 483, 486, 487, 490, 492, 500, 503, 508, 525, 541, 553, 556, 558, 566, 569, 570, 573, 575, 583, 586, 587, 590, 592, 600, 603, 604, 607, 609, 618, 621, 622, 625, 627, 635, 638, 639, 642, 644, 652, 655, 669, 672, 674, 682, 685, 690, 706, 718, 721, 723, 731, 734, 748, 751, 753, 761, 764, 795, 811, 890, 893, 895, 903, 906, 911], "redefin": 94, "reduc": 95, "reduct": 280, "refactor": 92, "refer": [2, 10, 250, 251, 252, 272, 275, 276, 277, 278, 279, 280, 282, 284, 287, 290, 453, 456, 664, 743, 773, 786, 881, 910], "refin": 4, "reflect": [97, 912, 915], "reg_r": 434, "reg_result": 285, "regard": 271, "regress": [89, 95, 271, 275, 276, 278, 280, 282, 284, 285, 286, 287, 289, 290, 293, 295, 306, 308, 319, 320, 330, 331, 344, 345, 358, 359, 367, 375, 381, 390, 394, 404, 410, 411, 414, 415, 426, 429, 432, 433, 516, 532, 697, 713], "regressand": 89, "regressionresult": [285, 286, 288, 298, 311, 334], "regressor": [3, 89, 95, 367, 375, 381, 390, 394, 415, 433, 440, 441, 451, 452, 510, 515, 516, 519, 527, 531, 532, 535, 543, 547, 551, 692, 696, 697, 700, 708, 712, 713, 716, 797, 801, 805, 813, 817, 826, 854, 907, 914], "reindex": [4, 87, 88, 95, 97, 461, 510, 527, 543, 692, 708, 797, 813, 826, 854], "reiniti": 3, "reisz": 109, "reject": [259, 271, 275, 276, 277, 278, 279, 433, 434], "rel": [89, 455], "relat": [7, 91, 95, 96, 98, 270, 446, 448, 907, 914], "relationship": [433, 437, 777, 790, 911], "releas": 248, "relev": [248, 251, 907, 909], "reload": 95, "remain": [10, 911], "remaind": 915, "remov": [93, 94, 95, 96, 97, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 516, 532, 548, 697, 713, 802], "rep": [11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 250, 251, 252, 271], "repeat": [3, 95, 271, 911, 912], "repec": [275, 278], "repetit": 912, "replac": [96, 433, 437, 446, 911, 915], "replic": [4, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 250, 251, 252, 271, 277], "report": [95, 440, 441, 442, 451, 452, 458, 907], "represent": 446, "repro_mod": 914, "reproduc": [5, 6, 7, 8, 9, 89, 95, 271, 449, 454, 456, 457, 914], "requir": [3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 89, 91, 95, 97, 98, 251, 252, 271, 275, 279, 433, 434, 437, 475, 479, 492, 496, 510, 516, 527, 532, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 697, 708, 713, 723, 727, 753, 757, 797, 813, 826, 854, 895, 899, 911, 912, 913, 914], "rerun": [14, 29, 44, 59, 74, 433], "res0": 911, "res1": 911, "res_norm": 914, "res_skewt": 914, "res_t": 914, "resampl": [4, 6, 7, 279], "rescal": [95, 97, 375, 390, 394, 440, 441, 442, 451, 452, 458, 459, 868, 907], "rese": [21, 36, 51, 66, 81], "research": 1, "reserv": [5, 6, 7, 8, 9, 914], "reset": [3, 914, 915], "resid": [89, 283, 285, 434, 460, 463, 468, 470, 472, 475, 479, 481, 483, 485, 487, 489, 490, 492, 496, 498, 500, 502, 553, 555, 556, 558, 562, 564, 566, 568, 570, 572, 573, 575, 579, 581, 583, 585, 587, 589, 590, 592, 596, 598, 600, 602, 604, 606, 607, 609, 613, 615, 618, 620, 622, 624, 625, 627, 631, 633, 635, 637, 639, 641, 642, 644, 648, 650, 652, 654, 656, 657, 660, 669, 671, 672, 674, 678, 680, 682, 684, 718, 720, 721, 723, 727, 729, 731, 733, 735, 736, 739, 748, 750, 751, 753, 757, 759, 761, 763, 765, 766, 769, 778, 779, 782, 873, 874, 877, 890, 892, 893, 895, 899, 901, 903, 905, 911, 912, 914, 915], "resid_mod": 911, "residu": [4, 89, 95, 282, 285, 287, 289, 290, 367, 374, 375, 390, 393, 394, 408, 410, 415, 424, 426, 433, 434, 437, 460, 462, 463, 468, 470, 472, 475, 479, 481, 483, 485, 487, 489, 490, 492, 496, 498, 500, 502, 515, 531, 547, 553, 555, 556, 558, 562, 564, 566, 568, 570, 572, 573, 575, 579, 581, 583, 585, 587, 589, 590, 592, 596, 598, 600, 602, 604, 606, 607, 609, 613, 615, 618, 620, 622, 624, 625, 627, 631, 633, 635, 637, 639, 641, 642, 644, 648, 650, 652, 654, 656, 660, 668, 669, 671, 672, 674, 678, 680, 682, 684, 696, 712, 718, 720, 721, 723, 727, 729, 731, 733, 735, 739, 747, 748, 750, 751, 753, 757, 759, 761, 763, 765, 769, 777, 778, 782, 790, 801, 817, 823, 833, 834, 835, 838, 842, 847, 863, 865, 870, 873, 877, 885, 890, 892, 893, 895, 899, 901, 903, 905, 907, 910, 911, 912, 913, 914, 915], "residual_vari": [437, 461, 462, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913, 915], "respect": [259, 833, 863], "restor": [95, 434, 914], "restrict": [118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242, 284, 438, 450, 911], "result": [3, 5, 6, 8, 9, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 95, 280, 285, 286, 289, 290, 298, 311, 334, 367, 381, 415, 430, 433, 434, 437, 440, 441, 442, 451, 452, 458, 460, 463, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 823, 836, 839, 847, 851, 860, 871, 907, 910, 911, 912, 913, 914, 915], "ret": [440, 915], "retain": [5, 6, 7, 8, 9], "rets_2018": 913, "return": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 53, 55, 56, 57, 58, 59, 60, 61, 62, 64, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 83, 85, 87, 88, 89, 95, 102, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 138, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 239, 240, 241, 243, 244, 245, 246, 247, 254, 255, 256, 259, 261, 262, 269, 270, 281, 289, 290, 297, 298, 303, 310, 311, 316, 322, 327, 333, 334, 337, 340, 347, 348, 355, 361, 366, 367, 375, 379, 381, 390, 394, 398, 402, 408, 411, 415, 419, 424, 430, 434, 437, 440, 468, 469, 470, 473, 475, 478, 479, 481, 483, 485, 486, 487, 488, 489, 491, 492, 495, 496, 498, 500, 502, 503, 504, 506, 508, 509, 510, 513, 514, 515, 516, 517, 520, 521, 523, 525, 526, 527, 529, 530, 531, 532, 533, 536, 537, 539, 541, 542, 543, 545, 546, 547, 548, 549, 552, 553, 554, 555, 557, 558, 561, 562, 564, 566, 568, 569, 570, 571, 572, 574, 575, 578, 579, 581, 583, 585, 586, 587, 588, 589, 591, 592, 595, 596, 598, 600, 602, 603, 604, 605, 606, 608, 609, 612, 613, 615, 618, 620, 621, 622, 623, 624, 626, 627, 630, 631, 633, 635, 637, 638, 639, 640, 641, 643, 644, 647, 648, 650, 652, 654, 655, 656, 657, 658, 660, 661, 663, 664, 665, 667, 668, 669, 670, 671, 673, 674, 677, 678, 680, 682, 684, 685, 686, 688, 690, 691, 692, 694, 695, 696, 697, 698, 701, 702, 704, 706, 707, 708, 710, 711, 712, 713, 714, 717, 718, 719, 720, 723, 726, 727, 729, 731, 733, 734, 735, 736, 737, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 752, 753, 756, 757, 759, 761, 763, 764, 765, 766, 767, 769, 770, 772, 773, 774, 776, 777, 778, 779, 780, 782, 783, 785, 786, 787, 789, 790, 791, 793, 795, 796, 797, 799, 800, 801, 802, 803, 806, 807, 809, 811, 812, 813, 816, 817, 819, 821, 823, 825, 826, 827, 833, 836, 839, 847, 849, 850, 854, 855, 860, 863, 871, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 890, 891, 892, 894, 895, 898, 899, 901, 903, 905, 906, 907, 909, 911, 913, 914, 915], "reus": [3, 14, 29, 44, 59, 74], "revers": 911, "review": [10, 277, 456], "revis": 280, "rf": [3, 434], "rho": [278, 288, 337, 433, 434, 455], "right": [4, 10, 101, 106, 110, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 284, 287, 289, 290, 437, 438, 444, 448, 450, 453, 660, 739, 769, 782, 911, 914], "risk": [3, 910], "riskmetr": [445, 455, 914], "riskmetrics2006": 914, "river": 275, "rm": [445, 455], "rng": [89, 475, 479, 492, 496, 510, 527, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 708, 723, 727, 753, 757, 797, 813, 826, 854, 895, 899, 911, 915], "rngtype": 273, "robust": [279, 367, 381, 415, 505, 508, 522, 525, 538, 541, 687, 690, 703, 706, 792, 795, 808, 811, 907, 911, 912, 914, 915], "roll": 94, "romano": [1, 5, 8, 9, 10, 249, 252, 270], "romanowolf": 249, "root": [93, 95, 97, 248, 275, 276, 277, 278, 280, 289, 290, 299, 312, 323, 335, 350, 362, 430, 433, 440, 825, 849], "rot": 271, "rotat": 451, "rothenberg": 276, "routin": [92, 248, 432], "row": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 437, 510, 527, 543, 692, 708, 797, 813, 826, 850, 854, 911], "rsquar": [283, 451], "rsquared_adj": 283, "rule": [271, 913], "run": [3, 14, 29, 44, 59, 74, 95, 97, 102, 134, 137, 248, 265, 271, 276, 277, 278, 280, 282, 287, 290, 293, 306, 319, 330, 344, 358, 367, 371, 375, 381, 390, 394, 415, 417, 421, 433, 434, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 911, 912, 913, 914, 915], "runner": 434, "r\u00b2": [376, 377, 395, 396], "s437301": 280, "saddl": 275, "saikkonen": 284, "same": [2, 3, 4, 5, 6, 7, 8, 9, 14, 29, 44, 59, 74, 270, 271, 284, 334, 390, 433, 434, 438, 443, 447, 460, 463, 472, 485, 490, 502, 510, 517, 527, 533, 543, 549, 556, 568, 573, 585, 590, 602, 607, 620, 625, 637, 642, 654, 672, 684, 692, 698, 708, 714, 721, 733, 751, 763, 797, 803, 813, 819, 826, 854, 893, 905, 907, 909, 911, 912, 914, 915], "sampl": [2, 4, 7, 10, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 88, 89, 90, 94, 95, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 276, 277, 286, 437, 440, 441, 442, 451, 452, 458, 475, 492, 505, 510, 522, 527, 538, 543, 558, 575, 592, 609, 627, 644, 674, 687, 692, 703, 708, 723, 753, 792, 797, 808, 813, 826, 852, 853, 854, 895, 907, 913, 915], "san": [3, 271, 433, 434, 911, 912, 913, 914, 915], "satisfi": [4, 279, 438, 506, 523, 539, 658, 688, 704, 737, 767, 780, 793, 809, 875], "save": [3, 271, 914], "savefig": [3, 271, 433, 434, 911, 912, 913, 914, 915], "sb": [250, 251, 252], "scalar": [440, 441, 450, 451, 479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 899, 907], "scale": [14, 29, 44, 59, 74, 95, 271, 440, 441, 442, 447, 451, 452, 455, 458, 469, 488, 554, 571, 588, 605, 623, 640, 670, 719, 749, 833, 863, 891, 907, 912, 914, 915], "scatter": 913, "scenario": [510, 527, 543, 692, 708, 797, 813, 826, 854, 910], "scenario_bootstrap": 915, "scenario_forecast": 915, "scenario_rng": 915, "scenariobootstraprng": 915, "scheme": [2, 437], "schmidt": 277, "schwartz": 284, "schwarz": [275, 276, 280, 824, 848], "schwert": [277, 280], "scienc": [1, 664, 743, 773, 786, 881], "scipi": [95, 96, 97, 508, 525, 541, 690, 706, 795, 811, 851, 860], "score": [3, 381], "se": 3, "seaborn": [3, 87, 271, 433, 434, 911, 912, 913, 914, 915], "search": 97, "second": [3, 5, 6, 7, 8, 9, 87, 89, 271], "section": [7, 286, 289, 290, 381, 433], "see": [3, 4, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 95, 250, 271, 275, 277, 278, 279, 280, 282, 284, 287, 301, 314, 325, 338, 352, 364, 433, 453, 465, 510, 527, 543, 664, 692, 708, 743, 773, 786, 797, 813, 826, 854, 881, 910, 911, 914, 917], "seed": [3, 5, 6, 7, 8, 9, 13, 20, 28, 35, 43, 50, 58, 65, 73, 80, 96, 250, 251, 252, 271, 449, 454, 456, 457, 464, 914, 915], "sel": 913, "select": [10, 95, 96, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 252, 275, 276, 277, 280, 281, 284, 286, 289, 294, 307, 405, 430, 432, 434, 480, 482, 497, 499, 563, 565, 580, 582, 597, 599, 614, 616, 632, 634, 649, 651, 679, 681, 728, 730, 758, 760, 900, 902], "selector": 265, "self": [28, 43, 915], "semi": [14, 29, 44, 59, 74, 89], "semidefinit": 278, "semiparametr": [2, 4, 14, 29, 44, 59, 74], "sens": [437, 911, 915], "separ": [3, 95, 467, 914], "septemb": [510, 527, 543, 692, 708, 797, 813], "sequenc": [281, 450, 451, 479, 496, 509, 516, 526, 532, 542, 548, 562, 579, 596, 613, 631, 648, 657, 660, 661, 664, 665, 667, 678, 691, 697, 707, 713, 727, 736, 739, 740, 743, 744, 746, 757, 766, 769, 770, 773, 774, 776, 779, 782, 783, 786, 787, 789, 796, 802, 812, 818, 874, 877, 878, 881, 882, 884, 899, 913], "sequenti": 271, "seri": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 88, 95, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 261, 262, 271, 273, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 303, 316, 327, 340, 355, 366, 372, 373, 374, 378, 380, 386, 391, 392, 393, 397, 399, 401, 402, 410, 418, 419, 426, 430, 432, 433, 434, 440, 441, 442, 451, 452, 458, 459, 460, 463, 475, 479, 492, 496, 508, 509, 510, 515, 516, 520, 525, 526, 527, 531, 532, 536, 541, 542, 543, 547, 548, 552, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 657, 660, 661, 664, 665, 667, 674, 678, 690, 691, 692, 696, 697, 701, 706, 707, 708, 712, 713, 717, 723, 727, 736, 739, 740, 743, 744, 746, 753, 757, 766, 769, 770, 773, 774, 776, 779, 782, 783, 786, 787, 789, 795, 796, 797, 801, 802, 806, 811, 812, 813, 817, 818, 821, 825, 826, 827, 832, 834, 835, 849, 854, 855, 862, 864, 865, 869, 870, 872, 874, 877, 878, 881, 882, 884, 895, 899, 907, 911, 914], "serial": [3, 4, 86, 278, 279, 280], "serif": [3, 271, 433, 434, 911, 912, 913, 914, 915], "serv": 271, "set": [3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 16, 19, 20, 22, 23, 26, 29, 31, 34, 35, 37, 38, 41, 44, 46, 49, 50, 52, 53, 56, 59, 61, 64, 65, 67, 68, 71, 74, 76, 79, 80, 82, 83, 86, 95, 96, 97, 249, 250, 253, 259, 265, 266, 272, 276, 277, 278, 289, 290, 293, 294, 301, 306, 307, 314, 319, 325, 330, 337, 338, 343, 344, 347, 349, 352, 358, 364, 367, 381, 386, 406, 415, 422, 430, 433, 437, 445, 447, 449, 454, 456, 457, 507, 508, 510, 516, 518, 524, 525, 527, 532, 534, 540, 541, 543, 550, 689, 690, 692, 697, 699, 705, 706, 708, 713, 715, 794, 795, 797, 804, 810, 811, 813, 820, 826, 827, 854, 855, 911, 913, 914, 915], "set_label": 913, "set_stat": [96, 914], "set_styl": [3, 271, 433, 434, 911, 912, 913, 914, 915], "set_titl": [433, 913, 915], "set_xlim": [433, 911, 913, 914, 915], "set_xtick": [913, 915], "set_ylim": 915, "setup": [2, 3, 271, 433, 913], "sgn": 769, "shape": [3, 4, 89, 447, 451, 456, 460, 463, 473, 475, 491, 492, 510, 527, 543, 557, 558, 574, 575, 591, 592, 608, 609, 626, 627, 643, 644, 660, 663, 668, 673, 674, 692, 708, 723, 739, 742, 747, 752, 753, 769, 772, 777, 782, 785, 790, 797, 813, 826, 827, 854, 855, 877, 880, 885, 894, 895, 911, 912, 915], "share": [430, 438], "sharp": [4, 87, 88], "sharp_ratio": 87, "sharpe_ratio": [3, 4, 87, 88], "sharpe_ratio_s": 4, "sheppard": [248, 453], "shift": [911, 913, 915], "shin": 277, "shock": [280, 437, 466, 907, 911, 914, 915], "short": [95, 102, 137, 375, 394, 455], "short_run": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "should": [3, 4, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 89, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 248, 250, 251, 252, 271, 275, 278, 284, 440, 441, 446, 447, 448, 451, 452, 459, 508, 525, 541, 690, 706, 795, 811, 833, 863, 908, 911, 912, 915], "show": [3, 12, 27, 42, 57, 72, 430, 433, 911, 912, 913, 914, 915], "show_warn": [508, 525, 541, 690, 706, 795, 811], "shown": [508, 525, 541, 690, 706, 795, 811], "side": [4, 102, 135, 136, 282, 284, 287, 289, 290, 434], "sigma": [3, 4, 10, 88, 282, 284, 290, 375, 381, 394, 437, 440, 508, 525, 541, 660, 690, 706, 739, 769, 782, 795, 811, 907, 914], "sigma2": [89, 469, 472, 483, 488, 490, 500, 554, 556, 566, 571, 573, 583, 588, 590, 600, 605, 607, 618, 623, 625, 635, 640, 642, 652, 660, 670, 672, 682, 719, 721, 731, 739, 749, 751, 761, 769, 782, 877, 891, 893, 903, 912, 914], "sigma_": [437, 438, 444, 445, 448, 450, 453, 913, 914], "sigma_t": [437, 439, 440, 445, 907, 914], "signatur": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85], "signific": [275, 278, 280, 914], "silent": 907, "sim": [437, 913, 914, 915], "sim_ar1": 911, "sim_data": [510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 827, 833, 855, 863, 914], "sim_fixedx": 911, "sim_forecast": 915, "sim_mod": 914, "sim_path": 915, "similar": [271, 272, 433, 434, 437, 456, 913, 915], "similarli": [14, 29, 44, 59, 74], "simpl": [3, 4, 276, 278, 284, 433, 434, 451, 907, 911, 914], "simplefilt": 434, "simpler": 89, "simplest": [4, 907, 914], "simpli": [88, 94, 912], "simplic": 89, "simplifi": [94, 95, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "simul": [4, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 87, 89, 95, 96, 271, 273, 275, 276, 277, 278, 287, 440, 441, 442, 451, 452, 458, 462, 466, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 833, 841, 842, 843, 845, 854, 855, 863, 895, 910, 915], "simulated_data": [516, 532, 548, 697, 713, 802], "simulated_path": 461, "simulated_residu": 461, "simulated_residual_vari": 461, "simulated_vari": 461, "sin": 110, "sinc": [3, 4, 5, 6, 8, 9, 10, 89, 251, 252, 271, 433, 434, 437, 445, 447, 449, 454, 455, 456, 457, 465, 508, 510, 525, 527, 541, 543, 666, 690, 692, 706, 708, 739, 745, 775, 788, 795, 797, 811, 813, 826, 854, 883, 911, 912, 914, 915], "singl": [280, 430, 432, 434, 437, 475, 479, 483, 492, 496, 500, 510, 527, 543, 558, 562, 566, 575, 579, 583, 592, 596, 600, 609, 613, 618, 627, 631, 635, 644, 648, 652, 656, 660, 667, 674, 678, 682, 692, 708, 723, 727, 731, 735, 739, 746, 753, 757, 761, 765, 769, 776, 778, 782, 789, 797, 813, 826, 854, 873, 884, 895, 899, 903, 912, 915], "singleton": 87, "singular": 433, "site": 914, "size": [3, 4, 5, 8, 9, 10, 14, 29, 44, 59, 74, 86, 88, 95, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 250, 252, 256, 270, 271, 272, 275, 276, 277, 278, 280, 286, 433, 434, 472, 490, 510, 527, 543, 556, 573, 590, 607, 625, 642, 667, 672, 692, 708, 721, 746, 747, 751, 776, 789, 797, 813, 826, 850, 854, 884, 885, 893, 912, 913, 914, 915, 916], "skew": [4, 94, 434, 456, 769, 907, 914], "skewstud": [95, 907, 914], "skewt": [907, 913, 914], "skip": [827, 855], "slice": 463, "slightli": [3, 280, 913], "slow": [4, 251, 252], "slower": 275, "slowli": 915, "slsqp": [508, 525, 541, 690, 706, 795, 811], "sm": [3, 271, 275, 276, 277, 278, 434], "small": [91, 93, 95, 96, 98, 270, 271, 912], "smaller": [270, 271], "smallest": 256, "smb": [3, 434], "smooth": [95, 445, 455], "sn": [913, 915], "snoop": [249, 251, 252], "snooper": [251, 271], "so": [3, 7, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 89, 90, 94, 95, 96, 97, 270, 271, 282, 287, 290, 433, 434, 437, 440, 447, 451, 453, 510, 527, 543, 692, 708, 797, 813, 825, 826, 849, 854, 911, 912, 913, 914, 915, 917], "societi": [282, 284, 290], "softwar": 280, "some": [4, 7, 10, 270, 271, 279, 434, 437, 909, 911, 914, 915, 917], "someth": [12, 27, 42, 57, 72], "somewhat": 914, "son": 1, "sort": 271, "sourc": [5, 6, 7, 8, 9, 10, 13, 24, 26, 27, 28, 29, 30, 32, 35, 36, 37, 39, 40, 50, 54, 69, 84, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 253, 259, 260, 261, 263, 265, 266, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 367, 381, 398, 413, 415, 428, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 470, 472, 473, 478, 479, 481, 498, 510, 515, 517, 546, 547, 548, 553, 554, 555, 556, 557, 561, 562, 564, 570, 571, 572, 573, 574, 578, 579, 581, 585, 589, 590, 591, 595, 596, 598, 604, 605, 606, 607, 608, 612, 613, 615, 620, 622, 624, 625, 626, 630, 631, 633, 639, 640, 641, 642, 643, 647, 648, 650, 654, 656, 657, 658, 660, 661, 663, 664, 665, 667, 668, 671, 672, 673, 677, 678, 680, 692, 695, 696, 697, 720, 721, 722, 726, 727, 729, 735, 736, 737, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 751, 752, 756, 757, 759, 763, 765, 766, 767, 769, 770, 772, 773, 774, 776, 777, 778, 779, 780, 782, 783, 785, 786, 787, 789, 790, 800, 801, 802, 807, 808, 809, 811, 812, 813, 816, 817, 818, 819, 823, 826, 827, 833, 836, 850, 871, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 890, 891, 892, 893, 894, 895, 898, 899, 901, 903, 905, 907, 916], "sp500": [4, 87, 88, 437, 440, 907, 913, 914], "spa": 252, "space": 912, "special": [4, 450, 917], "specif": [3, 89, 95, 96, 284, 286, 290, 292, 305, 318, 329, 334, 342, 357, 437, 465, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 907, 908, 913, 915], "specifi": [89, 94, 95, 97, 433, 434, 437, 440, 446, 448, 451, 459, 460, 467, 509, 526, 542, 691, 707, 796, 812, 823, 847, 907, 908, 910, 911, 913, 915], "spectral": [110, 281, 290, 367, 381, 415], "sphinx": 96, "spine": [827, 855], "split": 271, "split_dat": 437, "spot": 433, "sqrt": [3, 4, 10, 87, 88, 89, 250, 251, 252, 290, 437, 444, 455, 769, 913, 915], "squar": [3, 4, 271, 381, 434, 437, 440, 452, 463, 485, 502, 510, 527, 543, 568, 585, 602, 620, 637, 654, 684, 692, 708, 733, 763, 797, 813, 825, 826, 827, 849, 854, 855, 866, 867, 905, 907, 911, 912, 914, 915], "squeez": [3, 430], "sr": [3, 4, 87, 88], "ssc": 456, "st": 914, "stabil": 433, "stabl": 248, "stamp": 911, "standard": [3, 4, 14, 29, 44, 59, 74, 86, 87, 88, 95, 275, 378, 397, 434, 437, 438, 444, 446, 448, 451, 454, 456, 457, 485, 502, 505, 522, 538, 568, 585, 602, 620, 637, 654, 668, 684, 687, 703, 733, 739, 747, 763, 769, 777, 782, 790, 792, 808, 823, 833, 835, 847, 863, 869, 870, 885, 905, 907, 911, 913, 914, 915], "standard_norm": [3, 5, 6, 7, 8, 9, 89, 911, 915], "stanislav": 94, "star": [4, 287], "star_": [282, 287], "star_t": [282, 287], "start": [3, 4, 5, 87, 88, 90, 279, 430, 432, 437, 440, 441, 442, 451, 452, 458, 468, 475, 481, 487, 492, 498, 508, 510, 517, 525, 527, 533, 541, 543, 549, 553, 558, 564, 570, 575, 581, 587, 592, 598, 604, 609, 615, 622, 627, 633, 639, 644, 650, 668, 669, 674, 680, 690, 692, 698, 706, 708, 714, 718, 723, 729, 747, 748, 753, 759, 777, 790, 795, 797, 803, 811, 813, 819, 826, 827, 852, 854, 855, 885, 890, 895, 901, 907, 908, 911, 913, 915], "start_index": 461, "start_loc": 913, "start_param": 3, "starting_valu": [508, 525, 541, 690, 706, 795, 811], "stat": [3, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 275, 276, 277, 278, 280, 286, 288, 289, 337, 430, 433, 914, 916], "stata": 280, "state": [3, 17, 19, 20, 22, 32, 34, 35, 37, 47, 49, 50, 52, 62, 64, 65, 67, 77, 79, 80, 82, 89, 96, 257, 263, 267, 914, 915], "statement": 916, "stationar": [277, 434], "stationari": [3, 10, 88, 90, 250, 251, 252, 277, 430, 432, 433, 434], "stationarybootstrap": [3, 5, 8, 10, 88, 90, 96], "statist": [1, 4, 7, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 95, 249, 251, 271, 275, 277, 278, 279, 280, 286, 290, 295, 297, 299, 300, 303, 308, 310, 312, 313, 316, 320, 322, 323, 324, 327, 331, 333, 334, 335, 336, 340, 345, 348, 350, 351, 355, 359, 361, 362, 363, 366, 380, 399, 402, 409, 412, 413, 419, 425, 427, 428, 430, 433, 434, 864, 872, 916], "statistica": 277, "statistician": 1, "statsmodel": [96, 97, 271, 275, 276, 277, 278, 285, 381, 434], "stattool": 434, "statu": 271, "std": [3, 379, 398, 434, 907, 911, 912, 914, 915], "std_err_func": [4, 14, 29, 44, 59, 74], "std_resid": [95, 96, 668, 747, 777, 790, 885, 914], "std_ret": 913, "std_shock": 915, "stdout": 913, "step": [3, 12, 27, 42, 57, 72, 89, 95, 96, 276, 290, 432, 433, 437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 911, 912, 913], "stepm": [251, 265], "stepwis": [249, 252], "still": [446, 510, 527, 543, 692, 708, 797, 813, 826, 854], "stochast": [286, 289, 403, 420], "stock": [276, 284], "store": [472, 483, 490, 500, 556, 566, 573, 583, 590, 600, 607, 618, 625, 635, 642, 652, 672, 682, 721, 731, 751, 761, 893, 903], "str": [11, 12, 14, 15, 17, 18, 22, 23, 25, 26, 27, 29, 30, 32, 33, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 52, 53, 54, 55, 56, 57, 59, 60, 62, 63, 67, 68, 70, 71, 72, 74, 75, 77, 78, 82, 83, 85, 102, 121, 131, 145, 155, 165, 175, 185, 195, 205, 215, 225, 235, 245, 271, 273, 283, 285, 286, 288, 290, 291, 292, 296, 301, 302, 304, 305, 309, 315, 317, 318, 321, 325, 326, 328, 329, 332, 337, 338, 339, 341, 342, 346, 352, 353, 356, 357, 360, 364, 365, 367, 370, 381, 384, 387, 400, 406, 407, 408, 414, 415, 416, 421, 422, 423, 424, 429, 460, 463, 476, 478, 493, 495, 508, 509, 510, 512, 514, 525, 526, 527, 528, 530, 541, 542, 543, 544, 546, 559, 561, 576, 578, 593, 595, 610, 612, 628, 630, 645, 647, 662, 663, 675, 677, 690, 691, 692, 693, 695, 706, 707, 708, 709, 711, 724, 726, 741, 742, 754, 756, 771, 772, 784, 785, 795, 796, 797, 798, 800, 811, 812, 813, 814, 816, 826, 827, 833, 854, 855, 863, 879, 880, 896, 898, 916], "strategi": [912, 915], "strict": [102, 136, 290], "strictli": [446, 448], "string": [259, 290, 367, 381, 415, 437, 440, 463, 510, 527, 543, 692, 708, 797, 813, 826, 827, 833, 854, 855, 863], "strong": 434, "stronger": 3, "structur": [7, 89, 280, 430, 433, 434, 437, 440, 441, 451, 911], "student": [3, 14, 29, 44, 59, 74, 95, 251, 252, 271, 437, 456, 457, 769, 782, 907], "studentize_rep": [14, 29, 44, 59, 74], "studentst": [96, 907, 914], "studi": [96, 277, 280, 287], "style": 271, "su": 271, "subarrai": [480, 482, 497, 499, 563, 565, 580, 582, 597, 599, 614, 616, 632, 634, 649, 651, 679, 681, 728, 730, 758, 760, 900, 902], "subclass": [459, 464, 465, 507, 518, 524, 534, 540, 550, 689, 699, 705, 715, 794, 804, 810, 820], "subplot": [913, 914, 915], "subsampl": 1, "subsequ": 280, "subset": 259, "substanti": [95, 914], "subtli": 95, "subtract": [290, 911], "successfulli": [907, 912, 913, 914], "suffici": 434, "sum": [284, 375, 394, 453, 660, 739, 769, 782, 877], "sum_": [10, 282, 284, 287, 290, 411, 437, 438, 439, 440, 441, 444, 446, 448, 450, 451, 453], "summari": [430, 433, 434, 907, 911, 912, 914], "superior": [249, 251, 259, 266, 269], "superior_model": 271, "suppli": 911, "support": [5, 6, 7, 8, 9, 95, 96, 97, 290, 301, 314, 325, 338, 352, 364, 379, 398, 430, 437, 475, 484, 492, 501, 508, 510, 525, 527, 541, 543, 558, 567, 575, 584, 592, 601, 609, 619, 627, 636, 644, 653, 674, 683, 690, 692, 706, 708, 723, 732, 753, 762, 795, 797, 811, 813, 826, 827, 833, 854, 855, 863, 895, 904, 907, 908, 911, 915], "suppos": [95, 915], "suppress": 914, "surfac": [275, 278], "surg": 433, "surpris": 915, "survei": 453, "sv": [481, 498, 517, 533, 549, 564, 581, 598, 615, 633, 650, 668, 680, 698, 714, 729, 747, 759, 777, 790, 803, 819, 885, 901], "switch": 96, "sy": 913, "symmetr": [438, 439, 444, 446, 448, 907, 914], "syntax": [5, 6, 7, 8, 9, 510, 527, 543, 692, 708, 797, 813, 826, 854], "system": [5, 6, 8, 9, 284, 449, 454, 456, 457], "systemat": [90, 914], "t": [1, 3, 4, 89, 94, 95, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 250, 251, 252, 271, 275, 276, 278, 280, 282, 284, 287, 289, 290, 367, 375, 380, 381, 390, 394, 399, 411, 415, 433, 434, 437, 438, 439, 440, 441, 444, 445, 446, 448, 450, 451, 453, 456, 510, 527, 543, 692, 708, 769, 782, 797, 813, 825, 826, 849, 854, 864, 872, 907, 911, 912, 913, 915], "tabl": [275, 430, 836, 871, 911], "tail": [14, 29, 44, 59, 74, 437, 456, 668, 911, 914], "take": [3, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 271, 456, 475, 479, 492, 496, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 667, 674, 678, 723, 727, 746, 753, 757, 776, 789, 884, 895, 899, 911, 914], "taken": 10, "tarch": [448, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907], "target": [437, 461, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913], "tau": [278, 290, 337, 434], "tau0": 455, "tau1": 455, "technic": 271, "temp": 913, "templat": 464, "term": [4, 278, 282, 284, 287, 289, 290, 292, 301, 302, 305, 314, 315, 318, 325, 326, 329, 338, 339, 342, 352, 353, 357, 364, 365, 381, 433, 437, 438, 453, 914], "termin": [508, 525, 541, 690, 706, 795, 811, 907, 912, 913, 914], "test": [3, 86, 93, 95, 96, 97, 248, 249, 250, 251, 252, 272, 275, 276, 277, 278, 279, 280, 284, 286, 289, 290, 292, 295, 297, 299, 300, 301, 303, 305, 308, 310, 312, 313, 314, 316, 318, 320, 322, 323, 324, 325, 327, 329, 331, 333, 334, 335, 336, 337, 338, 340, 342, 345, 348, 350, 351, 352, 355, 357, 359, 361, 362, 363, 364, 366, 381, 402, 406, 409, 411, 412, 413, 419, 422, 425, 427, 428, 430, 823, 847, 872], "test_typ": [278, 288, 290, 433, 434], "texa": [433, 914], "text": [379, 398, 836, 871], "th": [510, 527, 543, 692, 708, 797, 813, 825, 826, 849, 854], "than": [3, 4, 10, 89, 95, 96, 251, 259, 270, 271, 275, 276, 280, 290, 437, 440, 441, 442, 446, 448, 451, 452, 458, 668, 907, 913, 914, 915], "thei": [89, 270, 271, 276, 437, 451, 913, 915, 917], "them": 911, "theme": 96, "theori": 284, "theta": [4, 287, 453, 722], "thi": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 15, 24, 25, 27, 29, 30, 39, 40, 42, 44, 45, 54, 55, 57, 59, 60, 69, 70, 72, 74, 75, 84, 85, 86, 87, 88, 89, 90, 94, 95, 96, 97, 248, 249, 250, 251, 252, 265, 270, 271, 272, 275, 279, 280, 290, 430, 432, 433, 434, 437, 438, 444, 445, 446, 447, 448, 455, 465, 475, 492, 510, 527, 543, 548, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 802, 813, 826, 854, 895, 907, 911, 912, 913, 914, 915], "third": 451, "those": [89, 270, 913, 915], "though": 467, "three": [4, 90, 95, 251, 262, 271, 402, 419, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907, 913, 914], "through": [89, 275, 278, 433], "throughout": 271, "tibshirani": 1, "tild": 290, "time": [2, 3, 4, 10, 95, 271, 275, 276, 277, 278, 279, 280, 289, 290, 430, 432, 433, 434, 437, 510, 527, 543, 692, 708, 797, 813, 825, 826, 827, 849, 854, 855, 907, 911, 912, 914, 915, 917], "timedelta": 437, "timestamp": [273, 437, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855], "titl": [408, 424, 433, 434, 912, 913, 915], "tol": [508, 525, 541, 690, 706, 795, 811], "toler": [508, 525, 541, 690, 706, 795, 811], "toml": 95, "too": [95, 271], "toolbox": 248, "total": 86, "toward": 915, "tr": 290, "trace": 290, "track": 911, "tractabl": [437, 910], "trade": [271, 280, 833, 863], "tradit": 88, "transform": [438, 440, 441, 442, 444, 446, 448, 451, 452, 458, 469, 488, 508, 525, 541, 554, 571, 588, 605, 623, 640, 665, 670, 690, 706, 719, 744, 749, 774, 787, 795, 811, 882, 891, 907, 908, 914], "treat": [445, 911], "treatment": 3, "trend": [96, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 292, 302, 305, 315, 318, 326, 329, 339, 342, 353, 357, 365, 403, 420, 430, 433, 434], "trigger": 430, "trim": 280, "trivial": 802, "true": [3, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 95, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 271, 279, 289, 367, 375, 381, 390, 394, 398, 415, 438, 440, 441, 442, 447, 451, 452, 453, 458, 505, 508, 522, 525, 538, 541, 660, 687, 690, 703, 706, 739, 769, 782, 792, 795, 808, 811, 877, 907, 908, 912, 914], "truncat": 446, "tsa": 434, "tukei": [111, 112, 113], "tune": 10, "tupl": [5, 6, 7, 8, 9, 12, 17, 18, 22, 23, 27, 32, 33, 37, 38, 39, 42, 47, 48, 52, 53, 54, 57, 62, 63, 67, 68, 72, 77, 78, 82, 83, 87, 273, 470, 473, 475, 479, 489, 491, 492, 496, 504, 506, 510, 521, 523, 527, 537, 539, 543, 555, 557, 558, 562, 572, 574, 575, 579, 589, 591, 592, 596, 606, 608, 609, 613, 624, 626, 627, 631, 641, 643, 644, 648, 656, 658, 667, 671, 673, 674, 678, 686, 688, 692, 702, 704, 708, 720, 722, 723, 727, 735, 737, 746, 750, 752, 753, 757, 765, 767, 776, 778, 780, 789, 791, 793, 797, 807, 809, 813, 826, 854, 873, 875, 884, 892, 894, 895, 899], "twice": 915, "two": [3, 4, 5, 6, 7, 8, 9, 10, 14, 29, 44, 59, 74, 87, 282, 287, 433, 434, 456, 908, 911, 912, 913, 914, 915], "type": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 53, 55, 56, 57, 58, 59, 60, 61, 62, 64, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 83, 85, 86, 91, 95, 96, 98, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 138, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 239, 240, 241, 243, 244, 245, 246, 247, 254, 255, 256, 259, 261, 262, 269, 281, 285, 289, 290, 293, 306, 319, 330, 337, 344, 358, 367, 375, 379, 381, 384, 390, 394, 398, 402, 408, 411, 415, 419, 424, 434, 437, 468, 469, 470, 475, 478, 481, 483, 485, 486, 487, 488, 489, 492, 495, 498, 500, 502, 503, 504, 508, 509, 510, 514, 515, 516, 517, 521, 525, 526, 527, 530, 531, 532, 533, 537, 541, 542, 543, 546, 547, 548, 549, 553, 554, 555, 558, 561, 564, 566, 568, 569, 570, 571, 572, 575, 578, 581, 583, 585, 586, 587, 588, 589, 592, 595, 598, 600, 602, 603, 604, 605, 606, 609, 612, 615, 618, 620, 621, 622, 623, 624, 627, 630, 633, 635, 637, 638, 639, 640, 641, 644, 647, 650, 652, 654, 655, 656, 657, 660, 661, 663, 664, 665, 667, 668, 669, 670, 671, 674, 677, 680, 682, 684, 685, 686, 690, 691, 692, 695, 696, 697, 698, 702, 706, 707, 708, 711, 712, 713, 714, 718, 719, 720, 723, 726, 729, 731, 733, 734, 735, 736, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 753, 756, 759, 761, 763, 764, 765, 766, 769, 770, 772, 773, 774, 776, 777, 778, 779, 782, 783, 785, 786, 787, 789, 790, 791, 795, 796, 797, 800, 801, 802, 803, 807, 811, 812, 813, 816, 817, 819, 823, 825, 826, 827, 833, 836, 839, 847, 849, 850, 854, 855, 860, 863, 871, 873, 874, 878, 880, 881, 882, 884, 885, 890, 891, 892, 895, 898, 901, 903, 905, 906, 907, 913, 915, 916], "typevar": 273, "typing_extens": 95, "typo": 94, "typograph": 93, "u": [3, 4, 290, 433], "u_t": 290, "uint32": [17, 21, 22, 23, 32, 36, 37, 38, 47, 51, 52, 53, 62, 66, 67, 68, 77, 81, 82, 83, 258, 264, 268, 273], "uint32arrai": 273, "ultim": 89, "unadjust": [367, 381, 415], "under": [90, 290, 403, 420, 433], "underli": [433, 914], "unequ": 7, "uneven": 95, "uniform": 6, "uniformli": 915, "uniqu": 913, "unit": [3, 93, 95, 97, 248, 275, 276, 277, 278, 280, 289, 290, 299, 312, 323, 335, 350, 362, 430, 433, 447, 769, 782, 912, 914, 915], "unit_scal": [447, 912], "unit_var_resid": 914, "unitroot": [430, 433, 434], "unitroottrend": 273, "univarait": 910, "univari": [92, 95, 97, 248, 280, 433, 907, 908, 911, 912, 914, 915], "univers": [1, 3, 275, 278, 279], "unlik": 278, "unstandard": 914, "until": [97, 437, 912], "up": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 280, 434, 437, 450, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 913, 915], "updat": [24, 39, 54, 69, 84, 94, 95, 97, 275, 440, 465, 486, 503, 508, 525, 541, 569, 586, 603, 621, 638, 655, 685, 690, 706, 734, 764, 795, 811, 906, 908], "update_freq": [441, 508, 525, 541, 690, 706, 795, 811, 833, 863, 913, 914], "upper": [3, 4, 14, 29, 44, 59, 74, 251, 259, 261, 262, 271, 275, 470, 472, 475, 483, 485, 489, 490, 492, 500, 502, 555, 556, 558, 566, 568, 572, 573, 575, 583, 585, 589, 590, 592, 600, 602, 606, 607, 609, 618, 620, 624, 625, 627, 635, 637, 641, 642, 644, 652, 654, 656, 664, 671, 672, 674, 682, 684, 720, 721, 723, 731, 733, 735, 743, 750, 751, 753, 761, 763, 765, 773, 778, 786, 873, 881, 892, 893, 895, 903, 905], "us": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 25, 26, 27, 28, 29, 30, 31, 34, 35, 36, 38, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 53, 55, 56, 57, 58, 59, 60, 61, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 79, 80, 81, 83, 85, 87, 88, 90, 91, 92, 95, 96, 97, 98, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 119, 120, 123, 124, 125, 129, 130, 133, 138, 139, 143, 144, 147, 148, 149, 153, 154, 157, 158, 159, 163, 164, 167, 168, 169, 173, 174, 177, 178, 179, 183, 184, 187, 188, 189, 193, 194, 197, 198, 199, 203, 204, 207, 208, 209, 213, 214, 217, 218, 219, 223, 224, 227, 228, 229, 233, 234, 237, 238, 239, 243, 244, 247, 248, 249, 250, 251, 252, 258, 259, 261, 264, 265, 268, 270, 271, 275, 276, 277, 278, 279, 280, 281, 282, 284, 285, 286, 287, 289, 290, 293, 294, 295, 301, 303, 306, 307, 308, 314, 316, 319, 320, 325, 327, 330, 331, 334, 338, 340, 343, 344, 345, 347, 349, 352, 355, 358, 359, 364, 366, 367, 368, 370, 371, 381, 382, 384, 387, 390, 404, 405, 414, 415, 417, 429, 430, 433, 434, 437, 438, 440, 441, 442, 446, 447, 448, 449, 450, 451, 452, 454, 456, 457, 458, 460, 463, 465, 466, 468, 472, 473, 475, 479, 480, 481, 482, 483, 485, 487, 490, 491, 492, 496, 497, 498, 499, 500, 502, 504, 505, 506, 508, 509, 510, 515, 516, 521, 522, 523, 525, 526, 527, 531, 532, 537, 538, 539, 541, 542, 543, 547, 548, 553, 556, 557, 558, 562, 563, 564, 565, 566, 568, 570, 573, 574, 575, 579, 580, 581, 582, 583, 585, 587, 590, 591, 592, 596, 597, 598, 599, 600, 602, 604, 607, 608, 609, 613, 614, 615, 616, 618, 620, 622, 625, 626, 627, 631, 632, 633, 634, 635, 637, 639, 642, 643, 644, 648, 649, 650, 651, 652, 654, 656, 657, 658, 660, 661, 664, 665, 666, 668, 669, 672, 673, 674, 678, 679, 680, 681, 682, 684, 686, 687, 688, 690, 691, 692, 696, 697, 702, 703, 704, 706, 707, 708, 712, 713, 718, 721, 723, 727, 728, 729, 730, 731, 733, 735, 736, 737, 739, 740, 743, 744, 745, 747, 751, 752, 753, 757, 758, 759, 760, 761, 763, 765, 766, 767, 769, 770, 773, 774, 775, 777, 778, 779, 780, 782, 783, 786, 787, 788, 790, 791, 792, 793, 795, 796, 797, 801, 802, 807, 808, 809, 811, 812, 813, 817, 825, 826, 827, 829, 830, 833, 839, 843, 849, 850, 852, 853, 854, 855, 857, 858, 863, 873, 874, 875, 878, 881, 882, 883, 885, 889, 890, 893, 894, 895, 899, 900, 901, 902, 903, 905, 907, 909, 910, 913, 914, 915, 917], "usag": 917, "use_rot": 451, "use_se": [20, 35, 50, 65, 80], "user": [0, 89, 94, 95, 114, 124, 138, 148, 158, 168, 178, 188, 198, 208, 218, 228, 238, 438, 469, 488, 509, 526, 542, 554, 571, 588, 605, 623, 640, 670, 691, 707, 719, 749, 796, 812, 891, 914], "usign": 96, "usual": [4, 270, 271, 434, 446, 448, 833, 863, 914, 915], "util": 910, "v4": 248, "vale": 911, "valid": [302, 315, 326, 337, 339, 353, 365, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854], "valid_trend": [301, 314, 325, 338, 352, 364], "valu": [3, 5, 6, 8, 9, 10, 11, 13, 14, 21, 23, 26, 28, 29, 36, 38, 41, 43, 44, 51, 53, 56, 58, 59, 66, 68, 71, 73, 74, 81, 83, 89, 94, 95, 97, 115, 119, 125, 129, 139, 143, 149, 153, 159, 163, 169, 173, 179, 183, 189, 193, 199, 203, 209, 213, 219, 223, 229, 233, 239, 243, 250, 251, 252, 256, 258, 259, 261, 262, 264, 265, 268, 270, 271, 275, 276, 277, 278, 279, 284, 286, 289, 290, 292, 297, 300, 305, 310, 313, 318, 322, 324, 329, 333, 336, 337, 342, 348, 351, 357, 361, 363, 373, 392, 402, 409, 411, 413, 419, 425, 428, 430, 433, 434, 437, 438, 440, 441, 450, 451, 460, 462, 463, 465, 468, 469, 471, 472, 473, 474, 475, 479, 481, 483, 485, 487, 488, 490, 491, 492, 496, 498, 500, 502, 505, 508, 510, 515, 516, 517, 519, 522, 525, 527, 531, 532, 533, 535, 538, 541, 543, 547, 548, 549, 551, 553, 554, 556, 557, 558, 562, 564, 566, 568, 570, 571, 573, 574, 575, 579, 581, 583, 585, 587, 588, 590, 591, 592, 596, 598, 600, 602, 604, 605, 607, 608, 609, 613, 615, 618, 620, 622, 623, 625, 626, 627, 631, 633, 635, 637, 639, 640, 642, 643, 644, 648, 650, 652, 654, 657, 658, 665, 668, 669, 670, 672, 673, 674, 678, 680, 682, 684, 687, 690, 692, 696, 697, 698, 700, 703, 706, 708, 712, 713, 714, 716, 718, 719, 721, 723, 727, 729, 731, 733, 736, 737, 744, 747, 748, 749, 751, 752, 753, 757, 759, 761, 763, 766, 767, 774, 777, 779, 780, 787, 790, 792, 795, 797, 801, 802, 803, 805, 808, 811, 813, 817, 819, 825, 826, 833, 837, 838, 840, 843, 845, 849, 854, 863, 864, 874, 875, 882, 885, 890, 891, 893, 894, 895, 899, 901, 903, 905, 907, 910, 912, 914, 915, 916], "valuabl": 437, "value_at_risk": 913, "valueerror": [475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 913], "valuer": [668, 777, 790], "var": [3, 14, 15, 29, 30, 44, 45, 59, 60, 74, 75, 87, 88, 290, 440, 511], "var_": 913, "var_2016": 913, "var_bound": [472, 475, 483, 485, 490, 492, 500, 502, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 672, 674, 682, 684, 721, 723, 731, 733, 751, 753, 761, 763, 893, 895, 903, 905], "varanelli": 95, "vari": [430, 917], "variabl": [3, 5, 6, 7, 8, 9, 86, 95, 96, 97, 271, 278, 282, 284, 287, 289, 290, 430, 433, 434, 440, 441, 442, 451, 452, 458, 460, 463, 478, 495, 510, 514, 516, 520, 527, 530, 532, 536, 543, 546, 552, 561, 578, 595, 612, 630, 647, 677, 692, 695, 697, 701, 708, 711, 713, 717, 726, 756, 797, 800, 806, 813, 816, 821, 826, 854, 898, 907, 910, 912, 914, 915], "varianc": [3, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 89, 93, 95, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 251, 252, 278, 279, 290, 293, 306, 319, 330, 343, 344, 347, 349, 354, 358, 371, 375, 381, 390, 394, 432, 433, 437, 438, 439, 440, 443, 444, 445, 446, 447, 448, 450, 453, 455, 461, 462, 463, 466, 467, 472, 475, 479, 480, 482, 483, 485, 490, 492, 496, 497, 499, 500, 502, 508, 510, 511, 525, 527, 541, 543, 556, 558, 562, 563, 565, 566, 568, 573, 575, 579, 580, 582, 583, 585, 590, 592, 596, 597, 599, 600, 602, 607, 609, 613, 614, 616, 618, 620, 625, 627, 631, 632, 634, 635, 637, 642, 644, 648, 649, 651, 652, 654, 660, 672, 674, 678, 679, 681, 682, 684, 690, 692, 706, 708, 721, 723, 727, 728, 730, 731, 733, 739, 751, 753, 757, 758, 760, 761, 763, 769, 782, 795, 797, 811, 813, 825, 826, 827, 833, 838, 842, 849, 854, 855, 863, 877, 887, 888, 889, 893, 895, 899, 900, 902, 903, 905, 908, 910, 911, 913, 914, 915], "varianceforecast": [475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895], "varianceratio": [95, 432, 434], "variat": 911, "varieti": [3, 90], "variou": 271, "vcv": 4, "vdot": 911, "vector": [4, 14, 29, 44, 59, 74, 89, 95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 282, 284, 287, 290, 367, 369, 372, 373, 378, 380, 381, 383, 391, 392, 397, 398, 399, 401, 415, 418, 432, 433, 440, 441, 442, 451, 452, 458, 468, 470, 472, 479, 487, 489, 490, 496, 510, 527, 543, 553, 555, 556, 562, 570, 572, 573, 579, 587, 589, 590, 596, 604, 606, 607, 613, 622, 624, 625, 631, 639, 641, 642, 648, 660, 669, 671, 672, 678, 692, 708, 718, 720, 721, 727, 739, 748, 750, 751, 757, 769, 782, 797, 813, 826, 854, 877, 890, 892, 893, 899], "vendor": 95, "veri": [95, 275, 433, 913], "verifi": [433, 451], "version": [4, 5, 6, 8, 9, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 89, 248, 270, 279, 434, 449, 454, 456, 457, 510, 527, 543, 666, 692, 708, 745, 775, 788, 797, 813, 826, 854, 883, 914], "versu": 434, "via": 92, "violat": [271, 913], "virtual": [437, 915], "visual": 914, "vix": 912, "vix_data": 912, "vol": [1, 437, 440, 510, 511, 527, 543, 664, 692, 708, 743, 773, 786, 797, 813, 827, 855, 881, 907, 911, 912, 913, 914, 915], "vol_mod": 912, "vol_r": 912, "volatil": [94, 95, 97, 248, 438, 440, 441, 442, 443, 447, 451, 452, 453, 458, 459, 460, 463, 465, 468, 475, 476, 479, 484, 486, 487, 492, 493, 496, 501, 503, 509, 510, 516, 526, 527, 532, 542, 543, 548, 553, 558, 559, 562, 567, 569, 570, 575, 576, 579, 584, 586, 587, 592, 593, 596, 601, 603, 604, 609, 610, 613, 619, 621, 622, 627, 628, 631, 636, 638, 639, 644, 645, 648, 653, 655, 669, 674, 675, 678, 683, 685, 691, 692, 697, 707, 708, 713, 718, 723, 724, 727, 732, 734, 753, 754, 757, 762, 764, 796, 797, 802, 812, 813, 825, 826, 827, 833, 835, 849, 854, 855, 863, 870, 907, 908, 911], "volatility_updat": 96, "volatilityprocess": [96, 440, 441, 442, 451, 452, 458, 459, 518, 534, 550, 699, 715, 804, 820, 917], "volatilityupdat": [96, 486, 503, 569, 586, 603, 621, 638, 655, 685, 734, 764, 906, 917], "volatilti": 95, "vr": [279, 434], "vstack": 4, "w": [101, 106, 107, 108, 109, 110, 111, 112, 113, 275, 277, 278, 279, 280, 284, 833, 863], "wa": [5, 6, 7, 8, 9, 94, 95, 96, 97, 434, 460, 463, 510, 527, 543, 692, 708, 797, 813, 911], "wai": [5, 6, 7, 8, 9, 914], "wald": 916, "waldteststatist": [823, 847, 916], "walk": [279, 434], "want": [911, 915], "warn": [92, 95, 97, 434, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 911], "watson": [284, 434], "we": [3, 290, 433, 434, 911, 912, 913, 914], "weakli": [277, 430, 433, 434], "web": [4, 87, 88, 430, 437, 907], "websit": [3, 86], "weekli": [833, 863], "weight": [95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 445, 446, 455, 912, 914], "well": [4, 271, 434, 914, 915, 916], "were": [277, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 915], "west": [101, 277, 278, 281, 290, 334, 367, 381, 415, 433, 434, 914], "what": [1, 915], "wheel": 96, "when": [1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 24, 25, 26, 27, 29, 30, 39, 40, 41, 42, 44, 45, 54, 55, 56, 57, 59, 60, 69, 70, 71, 72, 74, 75, 84, 85, 87, 89, 95, 96, 97, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 259, 261, 265, 271, 275, 276, 278, 280, 284, 289, 290, 293, 294, 295, 306, 307, 308, 319, 320, 330, 331, 344, 345, 358, 359, 381, 433, 434, 437, 440, 441, 442, 445, 446, 447, 451, 452, 456, 458, 463, 465, 472, 475, 479, 481, 483, 490, 492, 496, 498, 500, 508, 509, 510, 515, 516, 525, 526, 527, 531, 532, 541, 542, 543, 547, 548, 556, 558, 562, 564, 566, 573, 575, 579, 581, 583, 590, 592, 596, 598, 600, 607, 609, 613, 615, 618, 625, 627, 631, 633, 635, 642, 644, 648, 650, 652, 656, 672, 674, 678, 680, 682, 690, 691, 692, 696, 697, 706, 707, 708, 712, 713, 721, 723, 727, 729, 731, 735, 751, 753, 757, 759, 761, 765, 778, 795, 796, 797, 801, 802, 811, 812, 813, 817, 826, 827, 833, 850, 854, 855, 863, 873, 893, 895, 899, 901, 903, 907, 909, 910, 911, 912, 913, 914, 915], "whenev": [437, 913], "where": [4, 7, 10, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 86, 87, 88, 95, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 256, 270, 271, 282, 284, 287, 289, 290, 367, 375, 381, 390, 394, 415, 433, 437, 440, 444, 446, 448, 450, 451, 453, 455, 459, 470, 489, 510, 516, 527, 532, 543, 555, 572, 589, 606, 624, 641, 660, 671, 692, 697, 708, 713, 720, 750, 769, 782, 797, 813, 826, 850, 854, 877, 892, 911, 912, 913, 914, 915], "whether": [14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 270, 271, 275, 278, 279, 285, 290, 367, 381, 398, 415, 430, 432, 434, 440, 441, 442, 447, 451, 452, 453, 458, 460, 463, 505, 508, 510, 522, 525, 527, 538, 541, 543, 660, 687, 690, 692, 703, 706, 708, 739, 769, 782, 792, 795, 797, 808, 811, 813, 826, 854, 877, 907, 914], "which": [1, 3, 4, 10, 89, 90, 92, 94, 95, 259, 265, 270, 271, 272, 279, 281, 430, 434, 437, 446, 448, 450, 465, 508, 510, 525, 527, 541, 543, 657, 668, 690, 692, 706, 708, 736, 766, 779, 795, 797, 811, 813, 825, 826, 833, 849, 854, 863, 874, 911, 912, 913, 914, 915], "while": [4, 270, 271, 272, 279, 433, 437, 907, 911, 913, 915], "white": [10, 249, 251, 270, 290, 367, 381, 415, 434, 912, 914], "wilei": 1, "window": [3, 10, 94, 250, 251, 252], "winkler": [664, 743, 773, 786, 881], "wisc": 456, "wise": 252, "wish": 911, "within": [3, 289, 290], "without": [8, 14, 29, 44, 59, 74, 89, 440, 441, 442, 451, 452, 458, 907, 911], "wolf": [1, 249, 252, 270], "wooldridg": [508, 525, 541, 690, 706, 795, 811], "work": [271, 275, 278, 434], "wors": [251, 259, 270, 271], "would": [96, 271, 911, 915], "wpaper": [275, 278], "wrap": [5, 8, 9, 10, 90], "wrapper": [89, 270], "write": [96, 465, 913], "written": [3, 95, 465], "wrong": 95, "wti": 433, "www": 456, "x": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 89, 95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 271, 282, 284, 287, 289, 290, 440, 441, 451, 452, 510, 516, 527, 532, 543, 548, 660, 664, 692, 697, 708, 713, 739, 743, 769, 773, 782, 786, 797, 802, 813, 818, 826, 854, 881, 907, 913, 915], "x0": 911, "x0_oo": 911, "x0_sim": 911, "x0f": 911, "x1": 911, "x1_oo": 911, "x1_sim": 911, "x1f": 911, "x_": [10, 95, 284, 911], "x_0": 911, "x_1": 911, "x_k": 10, "x_mod": 911, "x_orig": 89, "x_param": [516, 532, 697, 713], "x_t": [282, 284, 287, 289, 290, 433, 440, 441, 451, 452], "x_trend": [282, 287], "xi_": 290, "xi_t": 290, "xl": [433, 913], "xlim": [914, 915], "xsection": [286, 288], "xstar": 87, "y": [3, 4, 5, 6, 7, 8, 9, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 89, 271, 275, 276, 277, 278, 279, 280, 281, 282, 284, 287, 289, 290, 434, 440, 441, 442, 451, 452, 458, 459, 510, 515, 527, 531, 543, 547, 692, 696, 708, 712, 797, 801, 813, 817, 826, 854, 868, 907, 911], "y_": [411, 433, 440, 441, 911], "y_star": 89, "y_t": [282, 284, 287, 289, 290, 411, 433, 440, 441, 442, 451, 452, 458, 911], "yahoo": [4, 87, 88, 907, 913, 914], "year": [437, 833, 863], "yield": [430, 434, 907], "you": [5, 6, 7, 8, 9, 911, 915], "ystar": [87, 89], "z": [5, 6, 7, 8, 9, 87, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 276, 290, 381, 434, 664, 743, 773, 786, 881], "z_": [4, 290, 433], "z_1": 290, "z_t": [287, 289, 290, 381, 433], "z_tz": 287, "za": [288, 290, 433, 434], "zag": [95, 917], "zandrew": 280, "zenodo": 248, "zero": [95, 271, 279, 433, 458, 472, 490, 556, 573, 590, 607, 625, 642, 672, 721, 751, 802, 893, 907, 911, 912, 914], "zeromean": [95, 911, 912, 914], "zig": [95, 917], "zivot": [95, 280, 432], "zivotandrew": [95, 432, 434], "zm": [458, 802], "zstar": 87, "zt": [290, 433], "zz": [290, 381], "z\u03b1": 290, "\u03b3": 433, "\u03c1": 433}, "titles": ["API Reference", "References", "Bootstrapping", "Bootstrap Examples", "Confidence Intervals", "arch.bootstrap.CircularBlockBootstrap", "arch.bootstrap.IIDBootstrap", "arch.bootstrap.IndependentSamplesBootstrap", "arch.bootstrap.MovingBlockBootstrap", "arch.bootstrap.StationaryBootstrap", "arch.bootstrap.optimal_block_length", "arch.bootstrap.CircularBlockBootstrap.apply", "arch.bootstrap.CircularBlockBootstrap.bootstrap", "arch.bootstrap.CircularBlockBootstrap.clone", "arch.bootstrap.CircularBlockBootstrap.conf_int", "arch.bootstrap.CircularBlockBootstrap.cov", "arch.bootstrap.CircularBlockBootstrap.generator", "arch.bootstrap.CircularBlockBootstrap.get_state", "arch.bootstrap.CircularBlockBootstrap.index", "arch.bootstrap.CircularBlockBootstrap.random_state", "arch.bootstrap.CircularBlockBootstrap.reset", "arch.bootstrap.CircularBlockBootstrap.seed", "arch.bootstrap.CircularBlockBootstrap.set_state", "arch.bootstrap.CircularBlockBootstrap.state", "arch.bootstrap.CircularBlockBootstrap.update_indices", "arch.bootstrap.CircularBlockBootstrap.var", "arch.bootstrap.IIDBootstrap.apply", "arch.bootstrap.IIDBootstrap.bootstrap", "arch.bootstrap.IIDBootstrap.clone", "arch.bootstrap.IIDBootstrap.conf_int", "arch.bootstrap.IIDBootstrap.cov", "arch.bootstrap.IIDBootstrap.generator", "arch.bootstrap.IIDBootstrap.get_state", "arch.bootstrap.IIDBootstrap.index", "arch.bootstrap.IIDBootstrap.random_state", "arch.bootstrap.IIDBootstrap.reset", "arch.bootstrap.IIDBootstrap.seed", "arch.bootstrap.IIDBootstrap.set_state", "arch.bootstrap.IIDBootstrap.state", "arch.bootstrap.IIDBootstrap.update_indices", "arch.bootstrap.IIDBootstrap.var", "arch.bootstrap.IndependentSamplesBootstrap.apply", "arch.bootstrap.IndependentSamplesBootstrap.bootstrap", "arch.bootstrap.IndependentSamplesBootstrap.clone", "arch.bootstrap.IndependentSamplesBootstrap.conf_int", "arch.bootstrap.IndependentSamplesBootstrap.cov", "arch.bootstrap.IndependentSamplesBootstrap.generator", "arch.bootstrap.IndependentSamplesBootstrap.get_state", "arch.bootstrap.IndependentSamplesBootstrap.index", "arch.bootstrap.IndependentSamplesBootstrap.random_state", "arch.bootstrap.IndependentSamplesBootstrap.reset", "arch.bootstrap.IndependentSamplesBootstrap.seed", "arch.bootstrap.IndependentSamplesBootstrap.set_state", "arch.bootstrap.IndependentSamplesBootstrap.state", "arch.bootstrap.IndependentSamplesBootstrap.update_indices", "arch.bootstrap.IndependentSamplesBootstrap.var", "arch.bootstrap.MovingBlockBootstrap.apply", "arch.bootstrap.MovingBlockBootstrap.bootstrap", "arch.bootstrap.MovingBlockBootstrap.clone", "arch.bootstrap.MovingBlockBootstrap.conf_int", "arch.bootstrap.MovingBlockBootstrap.cov", "arch.bootstrap.MovingBlockBootstrap.generator", "arch.bootstrap.MovingBlockBootstrap.get_state", "arch.bootstrap.MovingBlockBootstrap.index", "arch.bootstrap.MovingBlockBootstrap.random_state", "arch.bootstrap.MovingBlockBootstrap.reset", "arch.bootstrap.MovingBlockBootstrap.seed", "arch.bootstrap.MovingBlockBootstrap.set_state", "arch.bootstrap.MovingBlockBootstrap.state", "arch.bootstrap.MovingBlockBootstrap.update_indices", "arch.bootstrap.MovingBlockBootstrap.var", "arch.bootstrap.StationaryBootstrap.apply", "arch.bootstrap.StationaryBootstrap.bootstrap", "arch.bootstrap.StationaryBootstrap.clone", "arch.bootstrap.StationaryBootstrap.conf_int", "arch.bootstrap.StationaryBootstrap.cov", "arch.bootstrap.StationaryBootstrap.generator", "arch.bootstrap.StationaryBootstrap.get_state", "arch.bootstrap.StationaryBootstrap.index", "arch.bootstrap.StationaryBootstrap.random_state", "arch.bootstrap.StationaryBootstrap.reset", "arch.bootstrap.StationaryBootstrap.seed", "arch.bootstrap.StationaryBootstrap.set_state", "arch.bootstrap.StationaryBootstrap.state", "arch.bootstrap.StationaryBootstrap.update_indices", "arch.bootstrap.StationaryBootstrap.var", "Independent, Identical Distributed Data (i.i.d.)", "Low-level Interfaces", "Covariance Estimation", "Semiparametric Bootstraps", "Time-series Bootstraps", "Change Logs", "Version 1", "Version 2", "Version 3", "Version 4", "Version 5", "Version 6", "Version 7", "Long-run Covariance Estimation", "arch.covariance.kernel.Andrews", "arch.covariance.kernel.Bartlett", "arch.covariance.kernel.CovarianceEstimate", "arch.covariance.kernel.CovarianceEstimator", "arch.covariance.kernel.Gallant", "arch.covariance.kernel.NeweyWest", "arch.covariance.kernel.Parzen", "arch.covariance.kernel.ParzenCauchy", "arch.covariance.kernel.ParzenGeometric", "arch.covariance.kernel.ParzenRiesz", "arch.covariance.kernel.QuadraticSpectral", "arch.covariance.kernel.TukeyHamming", "arch.covariance.kernel.TukeyHanning", "arch.covariance.kernel.TukeyParzen", "arch.covariance.kernel.Andrews.bandwidth", "arch.covariance.kernel.Andrews.bandwidth_scale", "arch.covariance.kernel.Andrews.centered", "arch.covariance.kernel.Andrews.cov", "arch.covariance.kernel.Andrews.force_int", "arch.covariance.kernel.Andrews.kernel_const", "arch.covariance.kernel.Andrews.kernel_weights", "arch.covariance.kernel.Andrews.name", "arch.covariance.kernel.Andrews.opt_bandwidth", "arch.covariance.kernel.Andrews.rate", "arch.covariance.kernel.Bartlett.bandwidth", "arch.covariance.kernel.Bartlett.bandwidth_scale", "arch.covariance.kernel.Bartlett.centered", "arch.covariance.kernel.Bartlett.cov", "arch.covariance.kernel.Bartlett.force_int", "arch.covariance.kernel.Bartlett.kernel_const", "arch.covariance.kernel.Bartlett.kernel_weights", "arch.covariance.kernel.Bartlett.name", "arch.covariance.kernel.Bartlett.opt_bandwidth", "arch.covariance.kernel.Bartlett.rate", "arch.covariance.kernel.CovarianceEstimate.long_run", "arch.covariance.kernel.CovarianceEstimate.one_sided", "arch.covariance.kernel.CovarianceEstimate.one_sided_strict", "arch.covariance.kernel.CovarianceEstimate.short_run", "arch.covariance.kernel.CovarianceEstimator.bandwidth", "arch.covariance.kernel.CovarianceEstimator.bandwidth_scale", "arch.covariance.kernel.CovarianceEstimator.centered", "arch.covariance.kernel.CovarianceEstimator.cov", "arch.covariance.kernel.CovarianceEstimator.force_int", "arch.covariance.kernel.CovarianceEstimator.kernel_const", "arch.covariance.kernel.CovarianceEstimator.kernel_weights", "arch.covariance.kernel.CovarianceEstimator.name", "arch.covariance.kernel.CovarianceEstimator.opt_bandwidth", "arch.covariance.kernel.CovarianceEstimator.rate", "arch.covariance.kernel.Gallant.bandwidth", "arch.covariance.kernel.Gallant.bandwidth_scale", "arch.covariance.kernel.Gallant.centered", "arch.covariance.kernel.Gallant.cov", "arch.covariance.kernel.Gallant.force_int", "arch.covariance.kernel.Gallant.kernel_const", "arch.covariance.kernel.Gallant.kernel_weights", "arch.covariance.kernel.Gallant.name", "arch.covariance.kernel.Gallant.opt_bandwidth", "arch.covariance.kernel.Gallant.rate", "arch.covariance.kernel.NeweyWest.bandwidth", "arch.covariance.kernel.NeweyWest.bandwidth_scale", "arch.covariance.kernel.NeweyWest.centered", "arch.covariance.kernel.NeweyWest.cov", "arch.covariance.kernel.NeweyWest.force_int", "arch.covariance.kernel.NeweyWest.kernel_const", "arch.covariance.kernel.NeweyWest.kernel_weights", "arch.covariance.kernel.NeweyWest.name", "arch.covariance.kernel.NeweyWest.opt_bandwidth", "arch.covariance.kernel.NeweyWest.rate", "arch.covariance.kernel.Parzen.bandwidth", "arch.covariance.kernel.Parzen.bandwidth_scale", "arch.covariance.kernel.Parzen.centered", "arch.covariance.kernel.Parzen.cov", "arch.covariance.kernel.Parzen.force_int", "arch.covariance.kernel.Parzen.kernel_const", "arch.covariance.kernel.Parzen.kernel_weights", "arch.covariance.kernel.Parzen.name", "arch.covariance.kernel.Parzen.opt_bandwidth", "arch.covariance.kernel.Parzen.rate", "arch.covariance.kernel.ParzenCauchy.bandwidth", "arch.covariance.kernel.ParzenCauchy.bandwidth_scale", "arch.covariance.kernel.ParzenCauchy.centered", "arch.covariance.kernel.ParzenCauchy.cov", "arch.covariance.kernel.ParzenCauchy.force_int", "arch.covariance.kernel.ParzenCauchy.kernel_const", "arch.covariance.kernel.ParzenCauchy.kernel_weights", "arch.covariance.kernel.ParzenCauchy.name", "arch.covariance.kernel.ParzenCauchy.opt_bandwidth", "arch.covariance.kernel.ParzenCauchy.rate", "arch.covariance.kernel.ParzenGeometric.bandwidth", "arch.covariance.kernel.ParzenGeometric.bandwidth_scale", "arch.covariance.kernel.ParzenGeometric.centered", "arch.covariance.kernel.ParzenGeometric.cov", "arch.covariance.kernel.ParzenGeometric.force_int", "arch.covariance.kernel.ParzenGeometric.kernel_const", "arch.covariance.kernel.ParzenGeometric.kernel_weights", "arch.covariance.kernel.ParzenGeometric.name", "arch.covariance.kernel.ParzenGeometric.opt_bandwidth", "arch.covariance.kernel.ParzenGeometric.rate", "arch.covariance.kernel.ParzenRiesz.bandwidth", "arch.covariance.kernel.ParzenRiesz.bandwidth_scale", "arch.covariance.kernel.ParzenRiesz.centered", "arch.covariance.kernel.ParzenRiesz.cov", "arch.covariance.kernel.ParzenRiesz.force_int", "arch.covariance.kernel.ParzenRiesz.kernel_const", "arch.covariance.kernel.ParzenRiesz.kernel_weights", "arch.covariance.kernel.ParzenRiesz.name", "arch.covariance.kernel.ParzenRiesz.opt_bandwidth", "arch.covariance.kernel.ParzenRiesz.rate", "arch.covariance.kernel.QuadraticSpectral.bandwidth", "arch.covariance.kernel.QuadraticSpectral.bandwidth_scale", "arch.covariance.kernel.QuadraticSpectral.centered", "arch.covariance.kernel.QuadraticSpectral.cov", "arch.covariance.kernel.QuadraticSpectral.force_int", "arch.covariance.kernel.QuadraticSpectral.kernel_const", "arch.covariance.kernel.QuadraticSpectral.kernel_weights", "arch.covariance.kernel.QuadraticSpectral.name", "arch.covariance.kernel.QuadraticSpectral.opt_bandwidth", "arch.covariance.kernel.QuadraticSpectral.rate", "arch.covariance.kernel.TukeyHamming.bandwidth", "arch.covariance.kernel.TukeyHamming.bandwidth_scale", "arch.covariance.kernel.TukeyHamming.centered", "arch.covariance.kernel.TukeyHamming.cov", "arch.covariance.kernel.TukeyHamming.force_int", "arch.covariance.kernel.TukeyHamming.kernel_const", "arch.covariance.kernel.TukeyHamming.kernel_weights", "arch.covariance.kernel.TukeyHamming.name", "arch.covariance.kernel.TukeyHamming.opt_bandwidth", "arch.covariance.kernel.TukeyHamming.rate", "arch.covariance.kernel.TukeyHanning.bandwidth", "arch.covariance.kernel.TukeyHanning.bandwidth_scale", "arch.covariance.kernel.TukeyHanning.centered", "arch.covariance.kernel.TukeyHanning.cov", "arch.covariance.kernel.TukeyHanning.force_int", "arch.covariance.kernel.TukeyHanning.kernel_const", "arch.covariance.kernel.TukeyHanning.kernel_weights", "arch.covariance.kernel.TukeyHanning.name", "arch.covariance.kernel.TukeyHanning.opt_bandwidth", "arch.covariance.kernel.TukeyHanning.rate", "arch.covariance.kernel.TukeyParzen.bandwidth", "arch.covariance.kernel.TukeyParzen.bandwidth_scale", "arch.covariance.kernel.TukeyParzen.centered", "arch.covariance.kernel.TukeyParzen.cov", "arch.covariance.kernel.TukeyParzen.force_int", "arch.covariance.kernel.TukeyParzen.kernel_const", "arch.covariance.kernel.TukeyParzen.kernel_weights", "arch.covariance.kernel.TukeyParzen.name", "arch.covariance.kernel.TukeyParzen.opt_bandwidth", "arch.covariance.kernel.TukeyParzen.rate", "Introduction", "References", "arch.bootstrap.MCS", "arch.bootstrap.SPA", "arch.bootstrap.StepM", "arch.bootstrap.MCS.compute", "arch.bootstrap.MCS.excluded", "arch.bootstrap.MCS.included", "arch.bootstrap.MCS.pvalues", "arch.bootstrap.MCS.reset", "arch.bootstrap.MCS.seed", "arch.bootstrap.SPA.better_models", "arch.bootstrap.SPA.compute", "arch.bootstrap.SPA.critical_values", "arch.bootstrap.SPA.pvalues", "arch.bootstrap.SPA.reset", "arch.bootstrap.SPA.seed", "arch.bootstrap.SPA.subset", "arch.bootstrap.StepM.compute", "arch.bootstrap.StepM.reset", "arch.bootstrap.StepM.seed", "arch.bootstrap.StepM.superior_models", "Module Reference", "Multiple Comparisons", "Multiple Comparison Procedures", "Common Type Definitions", "Cointegration Tests", "arch.unitroot.ADF", "arch.unitroot.DFGLS", "arch.unitroot.KPSS", "arch.unitroot.PhillipsPerron", "arch.unitroot.VarianceRatio", "arch.unitroot.ZivotAndrews", "arch.unitroot.auto_bandwidth", "arch.unitroot.cointegration.CanonicalCointegratingReg", "arch.unitroot.cointegration.CointegrationAnalysisResults", "arch.unitroot.cointegration.DynamicOLS", "arch.unitroot.cointegration.DynamicOLSResults", "arch.unitroot.cointegration.EngleGrangerTestResults", "arch.unitroot.cointegration.FullyModifiedOLS", "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "arch.unitroot.cointegration.engle_granger", "arch.unitroot.cointegration.phillips_ouliaris", "arch.unitroot.ADF.alternative_hypothesis", "arch.unitroot.ADF.critical_values", "arch.unitroot.ADF.lags", "arch.unitroot.ADF.max_lags", "arch.unitroot.ADF.nobs", "arch.unitroot.ADF.null_hypothesis", "arch.unitroot.ADF.pvalue", "arch.unitroot.ADF.regression", "arch.unitroot.ADF.stat", "arch.unitroot.ADF.summary", "arch.unitroot.ADF.trend", "arch.unitroot.ADF.valid_trends", "arch.unitroot.ADF.y", "arch.unitroot.DFGLS.alternative_hypothesis", "arch.unitroot.DFGLS.critical_values", "arch.unitroot.DFGLS.lags", "arch.unitroot.DFGLS.max_lags", "arch.unitroot.DFGLS.nobs", "arch.unitroot.DFGLS.null_hypothesis", "arch.unitroot.DFGLS.pvalue", "arch.unitroot.DFGLS.regression", "arch.unitroot.DFGLS.stat", "arch.unitroot.DFGLS.summary", "arch.unitroot.DFGLS.trend", "arch.unitroot.DFGLS.valid_trends", "arch.unitroot.DFGLS.y", "arch.unitroot.KPSS.alternative_hypothesis", "arch.unitroot.KPSS.critical_values", "arch.unitroot.KPSS.lags", "arch.unitroot.KPSS.nobs", "arch.unitroot.KPSS.null_hypothesis", "arch.unitroot.KPSS.pvalue", "arch.unitroot.KPSS.stat", "arch.unitroot.KPSS.summary", "arch.unitroot.KPSS.trend", "arch.unitroot.KPSS.valid_trends", "arch.unitroot.KPSS.y", "arch.unitroot.PhillipsPerron.alternative_hypothesis", "arch.unitroot.PhillipsPerron.critical_values", "arch.unitroot.PhillipsPerron.lags", "arch.unitroot.PhillipsPerron.nobs", "arch.unitroot.PhillipsPerron.null_hypothesis", "arch.unitroot.PhillipsPerron.pvalue", "arch.unitroot.PhillipsPerron.regression", "arch.unitroot.PhillipsPerron.stat", "arch.unitroot.PhillipsPerron.summary", "arch.unitroot.PhillipsPerron.test_type", "arch.unitroot.PhillipsPerron.trend", "arch.unitroot.PhillipsPerron.valid_trends", "arch.unitroot.PhillipsPerron.y", "arch.unitroot.VarianceRatio.alternative_hypothesis", "arch.unitroot.VarianceRatio.critical_values", "arch.unitroot.VarianceRatio.debiased", "arch.unitroot.VarianceRatio.lags", "arch.unitroot.VarianceRatio.nobs", "arch.unitroot.VarianceRatio.null_hypothesis", "arch.unitroot.VarianceRatio.overlap", "arch.unitroot.VarianceRatio.pvalue", "arch.unitroot.VarianceRatio.robust", "arch.unitroot.VarianceRatio.stat", "arch.unitroot.VarianceRatio.summary", "arch.unitroot.VarianceRatio.trend", "arch.unitroot.VarianceRatio.valid_trends", "arch.unitroot.VarianceRatio.vr", "arch.unitroot.VarianceRatio.y", "arch.unitroot.ZivotAndrews.alternative_hypothesis", "arch.unitroot.ZivotAndrews.critical_values", "arch.unitroot.ZivotAndrews.lags", "arch.unitroot.ZivotAndrews.nobs", "arch.unitroot.ZivotAndrews.null_hypothesis", "arch.unitroot.ZivotAndrews.pvalue", "arch.unitroot.ZivotAndrews.stat", "arch.unitroot.ZivotAndrews.summary", "arch.unitroot.ZivotAndrews.trend", "arch.unitroot.ZivotAndrews.valid_trends", "arch.unitroot.ZivotAndrews.y", "arch.unitroot.cointegration.CanonicalCointegratingReg.fit", "arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth", "arch.unitroot.cointegration.CointegrationAnalysisResults.cov", "arch.unitroot.cointegration.CointegrationAnalysisResults.kernel", "arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance", "arch.unitroot.cointegration.CointegrationAnalysisResults.params", "arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues", "arch.unitroot.cointegration.CointegrationAnalysisResults.resid", "arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance", "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared", "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj", "arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors", "arch.unitroot.cointegration.CointegrationAnalysisResults.summary", "arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues", "arch.unitroot.cointegration.DynamicOLS.fit", "arch.unitroot.cointegration.DynamicOLSResults.bandwidth", "arch.unitroot.cointegration.DynamicOLSResults.cov", "arch.unitroot.cointegration.DynamicOLSResults.cov_type", "arch.unitroot.cointegration.DynamicOLSResults.full_cov", "arch.unitroot.cointegration.DynamicOLSResults.full_params", "arch.unitroot.cointegration.DynamicOLSResults.kernel", "arch.unitroot.cointegration.DynamicOLSResults.lags", "arch.unitroot.cointegration.DynamicOLSResults.leads", "arch.unitroot.cointegration.DynamicOLSResults.long_run_variance", "arch.unitroot.cointegration.DynamicOLSResults.params", "arch.unitroot.cointegration.DynamicOLSResults.pvalues", "arch.unitroot.cointegration.DynamicOLSResults.resid", "arch.unitroot.cointegration.DynamicOLSResults.residual_variance", "arch.unitroot.cointegration.DynamicOLSResults.rsquared", "arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj", "arch.unitroot.cointegration.DynamicOLSResults.std_errors", "arch.unitroot.cointegration.DynamicOLSResults.summary", "arch.unitroot.cointegration.DynamicOLSResults.tvalues", "arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis", "arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector", "arch.unitroot.cointegration.EngleGrangerTestResults.critical_values", "arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order", "arch.unitroot.cointegration.EngleGrangerTestResults.lags", "arch.unitroot.cointegration.EngleGrangerTestResults.max_lags", "arch.unitroot.cointegration.EngleGrangerTestResults.name", "arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis", "arch.unitroot.cointegration.EngleGrangerTestResults.plot", "arch.unitroot.cointegration.EngleGrangerTestResults.pvalue", "arch.unitroot.cointegration.EngleGrangerTestResults.resid", "arch.unitroot.cointegration.EngleGrangerTestResults.rho", "arch.unitroot.cointegration.EngleGrangerTestResults.stat", "arch.unitroot.cointegration.EngleGrangerTestResults.summary", "arch.unitroot.cointegration.EngleGrangerTestResults.trend", "arch.unitroot.cointegration.FullyModifiedOLS.fit", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.name", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend", "Introduction", "The Unit Root Tests", "Unit Root Testing", "Cointegration Testing", "Unit Root Testing", "Theoretical Background", "Distributions", "Forecasting", "arch.univariate.APARCH", "arch.univariate.ARCH", "arch.univariate.ARCHInMean", "arch.univariate.ARX", "arch.univariate.ConstantMean", "arch.univariate.ConstantVariance", "arch.univariate.EGARCH", "arch.univariate.EWMAVariance", "arch.univariate.FIGARCH", "arch.univariate.FixedVariance", "arch.univariate.GARCH", "arch.univariate.GeneralizedError", "arch.univariate.HARCH", "arch.univariate.HARX", "arch.univariate.LS", "arch.univariate.MIDASHyperbolic", "arch.univariate.Normal", "arch.univariate.RiskMetrics2006", "arch.univariate.SkewStudent", "arch.univariate.StudentsT", "arch.univariate.ZeroMean", "arch.univariate.base.ARCHModel", "arch.univariate.base.ARCHModelFixedResult", "arch.univariate.base.ARCHModelForecast", "arch.univariate.base.ARCHModelForecastSimulation", "arch.univariate.base.ARCHModelResult", "arch.univariate.distribution.Distribution", "arch.univariate.recursions.VolatilityUpdater", "arch.univariate.volatility.VarianceForecast", "arch.univariate.volatility.VolatilityProcess", "arch.univariate.APARCH.backcast", "arch.univariate.APARCH.backcast_transform", "arch.univariate.APARCH.bounds", "arch.univariate.APARCH.common_asym", "arch.univariate.APARCH.compute_variance", "arch.univariate.APARCH.constraints", "arch.univariate.APARCH.delta", "arch.univariate.APARCH.forecast", "arch.univariate.APARCH.name", "arch.univariate.APARCH.num_params", "arch.univariate.APARCH.parameter_names", "arch.univariate.APARCH.simulate", "arch.univariate.APARCH.start", "arch.univariate.APARCH.starting_values", "arch.univariate.APARCH.stop", "arch.univariate.APARCH.update", "arch.univariate.APARCH.updateable", "arch.univariate.APARCH.variance_bounds", "arch.univariate.APARCH.volatility_updater", "arch.univariate.ARCH.backcast", "arch.univariate.ARCH.backcast_transform", "arch.univariate.ARCH.bounds", "arch.univariate.ARCH.compute_variance", "arch.univariate.ARCH.constraints", "arch.univariate.ARCH.forecast", "arch.univariate.ARCH.name", "arch.univariate.ARCH.num_params", "arch.univariate.ARCH.parameter_names", "arch.univariate.ARCH.simulate", "arch.univariate.ARCH.start", "arch.univariate.ARCH.starting_values", "arch.univariate.ARCH.stop", "arch.univariate.ARCH.update", "arch.univariate.ARCH.updateable", "arch.univariate.ARCH.variance_bounds", "arch.univariate.ARCH.volatility_updater", "arch.univariate.ARCHInMean.bounds", "arch.univariate.ARCHInMean.compute_param_cov", "arch.univariate.ARCHInMean.constraints", "arch.univariate.ARCHInMean.distribution", "arch.univariate.ARCHInMean.fit", "arch.univariate.ARCHInMean.fix", "arch.univariate.ARCHInMean.forecast", "arch.univariate.ARCHInMean.form", "arch.univariate.ARCHInMean.name", "arch.univariate.ARCHInMean.num_params", "arch.univariate.ARCHInMean.parameter_names", "arch.univariate.ARCHInMean.resids", "arch.univariate.ARCHInMean.simulate", "arch.univariate.ARCHInMean.starting_values", "arch.univariate.ARCHInMean.volatility", "arch.univariate.ARCHInMean.x", "arch.univariate.ARCHInMean.y", "arch.univariate.ARX.bounds", "arch.univariate.ARX.compute_param_cov", "arch.univariate.ARX.constraints", "arch.univariate.ARX.distribution", "arch.univariate.ARX.fit", "arch.univariate.ARX.fix", "arch.univariate.ARX.forecast", "arch.univariate.ARX.name", "arch.univariate.ARX.num_params", "arch.univariate.ARX.parameter_names", "arch.univariate.ARX.resids", "arch.univariate.ARX.simulate", "arch.univariate.ARX.starting_values", "arch.univariate.ARX.volatility", "arch.univariate.ARX.x", "arch.univariate.ARX.y", "arch.univariate.ConstantMean.bounds", "arch.univariate.ConstantMean.compute_param_cov", "arch.univariate.ConstantMean.constraints", "arch.univariate.ConstantMean.distribution", "arch.univariate.ConstantMean.fit", "arch.univariate.ConstantMean.fix", "arch.univariate.ConstantMean.forecast", "arch.univariate.ConstantMean.name", "arch.univariate.ConstantMean.num_params", "arch.univariate.ConstantMean.parameter_names", "arch.univariate.ConstantMean.resids", "arch.univariate.ConstantMean.simulate", "arch.univariate.ConstantMean.starting_values", "arch.univariate.ConstantMean.volatility", "arch.univariate.ConstantMean.x", "arch.univariate.ConstantMean.y", "arch.univariate.ConstantVariance.backcast", "arch.univariate.ConstantVariance.backcast_transform", "arch.univariate.ConstantVariance.bounds", "arch.univariate.ConstantVariance.compute_variance", "arch.univariate.ConstantVariance.constraints", "arch.univariate.ConstantVariance.forecast", "arch.univariate.ConstantVariance.name", "arch.univariate.ConstantVariance.num_params", "arch.univariate.ConstantVariance.parameter_names", "arch.univariate.ConstantVariance.simulate", "arch.univariate.ConstantVariance.start", "arch.univariate.ConstantVariance.starting_values", "arch.univariate.ConstantVariance.stop", "arch.univariate.ConstantVariance.update", "arch.univariate.ConstantVariance.updateable", "arch.univariate.ConstantVariance.variance_bounds", "arch.univariate.ConstantVariance.volatility_updater", "arch.univariate.EGARCH.backcast", "arch.univariate.EGARCH.backcast_transform", "arch.univariate.EGARCH.bounds", "arch.univariate.EGARCH.compute_variance", "arch.univariate.EGARCH.constraints", "arch.univariate.EGARCH.forecast", "arch.univariate.EGARCH.name", "arch.univariate.EGARCH.num_params", "arch.univariate.EGARCH.parameter_names", "arch.univariate.EGARCH.simulate", "arch.univariate.EGARCH.start", "arch.univariate.EGARCH.starting_values", "arch.univariate.EGARCH.stop", "arch.univariate.EGARCH.update", "arch.univariate.EGARCH.updateable", "arch.univariate.EGARCH.variance_bounds", "arch.univariate.EGARCH.volatility_updater", "arch.univariate.EWMAVariance.backcast", "arch.univariate.EWMAVariance.backcast_transform", "arch.univariate.EWMAVariance.bounds", "arch.univariate.EWMAVariance.compute_variance", "arch.univariate.EWMAVariance.constraints", "arch.univariate.EWMAVariance.forecast", "arch.univariate.EWMAVariance.name", "arch.univariate.EWMAVariance.num_params", "arch.univariate.EWMAVariance.parameter_names", "arch.univariate.EWMAVariance.simulate", "arch.univariate.EWMAVariance.start", "arch.univariate.EWMAVariance.starting_values", "arch.univariate.EWMAVariance.stop", "arch.univariate.EWMAVariance.update", "arch.univariate.EWMAVariance.updateable", "arch.univariate.EWMAVariance.variance_bounds", "arch.univariate.EWMAVariance.volatility_updater", "arch.univariate.FIGARCH.backcast", "arch.univariate.FIGARCH.backcast_transform", "arch.univariate.FIGARCH.bounds", "arch.univariate.FIGARCH.compute_variance", "arch.univariate.FIGARCH.constraints", "arch.univariate.FIGARCH.forecast", "arch.univariate.FIGARCH.name", "arch.univariate.FIGARCH.num_params", "arch.univariate.FIGARCH.parameter_names", "arch.univariate.FIGARCH.simulate", "arch.univariate.FIGARCH.start", "arch.univariate.FIGARCH.starting_values", "arch.univariate.FIGARCH.stop", "arch.univariate.FIGARCH.truncation", "arch.univariate.FIGARCH.update", "arch.univariate.FIGARCH.updateable", "arch.univariate.FIGARCH.variance_bounds", "arch.univariate.FIGARCH.volatility_updater", "arch.univariate.FixedVariance.backcast", "arch.univariate.FixedVariance.backcast_transform", "arch.univariate.FixedVariance.bounds", "arch.univariate.FixedVariance.compute_variance", "arch.univariate.FixedVariance.constraints", "arch.univariate.FixedVariance.forecast", "arch.univariate.FixedVariance.name", "arch.univariate.FixedVariance.num_params", "arch.univariate.FixedVariance.parameter_names", "arch.univariate.FixedVariance.simulate", "arch.univariate.FixedVariance.start", "arch.univariate.FixedVariance.starting_values", "arch.univariate.FixedVariance.stop", "arch.univariate.FixedVariance.update", "arch.univariate.FixedVariance.updateable", "arch.univariate.FixedVariance.variance_bounds", "arch.univariate.FixedVariance.volatility_updater", "arch.univariate.GARCH.backcast", "arch.univariate.GARCH.backcast_transform", "arch.univariate.GARCH.bounds", "arch.univariate.GARCH.compute_variance", "arch.univariate.GARCH.constraints", "arch.univariate.GARCH.forecast", "arch.univariate.GARCH.name", "arch.univariate.GARCH.num_params", "arch.univariate.GARCH.parameter_names", "arch.univariate.GARCH.simulate", "arch.univariate.GARCH.start", "arch.univariate.GARCH.starting_values", "arch.univariate.GARCH.stop", "arch.univariate.GARCH.update", "arch.univariate.GARCH.updateable", "arch.univariate.GARCH.variance_bounds", "arch.univariate.GARCH.volatility_updater", "arch.univariate.GeneralizedError.bounds", "arch.univariate.GeneralizedError.cdf", "arch.univariate.GeneralizedError.constraints", "arch.univariate.GeneralizedError.generator", "arch.univariate.GeneralizedError.loglikelihood", "arch.univariate.GeneralizedError.moment", "arch.univariate.GeneralizedError.name", "arch.univariate.GeneralizedError.parameter_names", "arch.univariate.GeneralizedError.partial_moment", "arch.univariate.GeneralizedError.ppf", "arch.univariate.GeneralizedError.random_state", "arch.univariate.GeneralizedError.simulate", "arch.univariate.GeneralizedError.starting_values", "arch.univariate.HARCH.backcast", "arch.univariate.HARCH.backcast_transform", "arch.univariate.HARCH.bounds", "arch.univariate.HARCH.compute_variance", "arch.univariate.HARCH.constraints", "arch.univariate.HARCH.forecast", "arch.univariate.HARCH.name", "arch.univariate.HARCH.num_params", "arch.univariate.HARCH.parameter_names", "arch.univariate.HARCH.simulate", "arch.univariate.HARCH.start", "arch.univariate.HARCH.starting_values", "arch.univariate.HARCH.stop", "arch.univariate.HARCH.update", "arch.univariate.HARCH.updateable", "arch.univariate.HARCH.variance_bounds", "arch.univariate.HARCH.volatility_updater", "arch.univariate.HARX.bounds", "arch.univariate.HARX.compute_param_cov", "arch.univariate.HARX.constraints", "arch.univariate.HARX.distribution", "arch.univariate.HARX.fit", "arch.univariate.HARX.fix", "arch.univariate.HARX.forecast", "arch.univariate.HARX.name", "arch.univariate.HARX.num_params", "arch.univariate.HARX.parameter_names", "arch.univariate.HARX.resids", "arch.univariate.HARX.simulate", "arch.univariate.HARX.starting_values", "arch.univariate.HARX.volatility", "arch.univariate.HARX.x", "arch.univariate.HARX.y", "arch.univariate.LS.bounds", "arch.univariate.LS.compute_param_cov", "arch.univariate.LS.constraints", "arch.univariate.LS.distribution", "arch.univariate.LS.fit", "arch.univariate.LS.fix", "arch.univariate.LS.forecast", "arch.univariate.LS.name", "arch.univariate.LS.num_params", "arch.univariate.LS.parameter_names", "arch.univariate.LS.resids", "arch.univariate.LS.simulate", "arch.univariate.LS.starting_values", "arch.univariate.LS.volatility", "arch.univariate.LS.x", "arch.univariate.LS.y", "arch.univariate.MIDASHyperbolic.backcast", "arch.univariate.MIDASHyperbolic.backcast_transform", "arch.univariate.MIDASHyperbolic.bounds", "arch.univariate.MIDASHyperbolic.compute_variance", "arch.univariate.MIDASHyperbolic.constraints", "arch.univariate.MIDASHyperbolic.forecast", "arch.univariate.MIDASHyperbolic.name", "arch.univariate.MIDASHyperbolic.num_params", "arch.univariate.MIDASHyperbolic.parameter_names", "arch.univariate.MIDASHyperbolic.simulate", "arch.univariate.MIDASHyperbolic.start", "arch.univariate.MIDASHyperbolic.starting_values", "arch.univariate.MIDASHyperbolic.stop", "arch.univariate.MIDASHyperbolic.update", "arch.univariate.MIDASHyperbolic.updateable", "arch.univariate.MIDASHyperbolic.variance_bounds", "arch.univariate.MIDASHyperbolic.volatility_updater", "arch.univariate.Normal.bounds", "arch.univariate.Normal.cdf", "arch.univariate.Normal.constraints", "arch.univariate.Normal.generator", "arch.univariate.Normal.loglikelihood", "arch.univariate.Normal.moment", "arch.univariate.Normal.name", "arch.univariate.Normal.parameter_names", "arch.univariate.Normal.partial_moment", "arch.univariate.Normal.ppf", "arch.univariate.Normal.random_state", "arch.univariate.Normal.simulate", "arch.univariate.Normal.starting_values", "arch.univariate.RiskMetrics2006.backcast", "arch.univariate.RiskMetrics2006.backcast_transform", "arch.univariate.RiskMetrics2006.bounds", "arch.univariate.RiskMetrics2006.compute_variance", "arch.univariate.RiskMetrics2006.constraints", "arch.univariate.RiskMetrics2006.forecast", "arch.univariate.RiskMetrics2006.name", "arch.univariate.RiskMetrics2006.num_params", "arch.univariate.RiskMetrics2006.parameter_names", "arch.univariate.RiskMetrics2006.simulate", "arch.univariate.RiskMetrics2006.start", "arch.univariate.RiskMetrics2006.starting_values", "arch.univariate.RiskMetrics2006.stop", "arch.univariate.RiskMetrics2006.update", "arch.univariate.RiskMetrics2006.updateable", "arch.univariate.RiskMetrics2006.variance_bounds", "arch.univariate.RiskMetrics2006.volatility_updater", "arch.univariate.SkewStudent.bounds", "arch.univariate.SkewStudent.cdf", "arch.univariate.SkewStudent.constraints", "arch.univariate.SkewStudent.generator", "arch.univariate.SkewStudent.loglikelihood", "arch.univariate.SkewStudent.moment", "arch.univariate.SkewStudent.name", "arch.univariate.SkewStudent.parameter_names", "arch.univariate.SkewStudent.partial_moment", "arch.univariate.SkewStudent.ppf", "arch.univariate.SkewStudent.random_state", "arch.univariate.SkewStudent.simulate", "arch.univariate.SkewStudent.starting_values", "arch.univariate.StudentsT.bounds", "arch.univariate.StudentsT.cdf", "arch.univariate.StudentsT.constraints", "arch.univariate.StudentsT.generator", "arch.univariate.StudentsT.loglikelihood", "arch.univariate.StudentsT.moment", "arch.univariate.StudentsT.name", "arch.univariate.StudentsT.parameter_names", "arch.univariate.StudentsT.partial_moment", "arch.univariate.StudentsT.ppf", "arch.univariate.StudentsT.random_state", "arch.univariate.StudentsT.simulate", "arch.univariate.StudentsT.starting_values", "arch.univariate.ZeroMean.bounds", "arch.univariate.ZeroMean.compute_param_cov", "arch.univariate.ZeroMean.constraints", "arch.univariate.ZeroMean.distribution", "arch.univariate.ZeroMean.fit", "arch.univariate.ZeroMean.fix", "arch.univariate.ZeroMean.forecast", "arch.univariate.ZeroMean.name", "arch.univariate.ZeroMean.num_params", "arch.univariate.ZeroMean.parameter_names", "arch.univariate.ZeroMean.resids", "arch.univariate.ZeroMean.simulate", "arch.univariate.ZeroMean.starting_values", "arch.univariate.ZeroMean.volatility", "arch.univariate.ZeroMean.x", "arch.univariate.ZeroMean.y", "arch.univariate.base.ARCHModel.bounds", "arch.univariate.base.ARCHModel.compute_param_cov", "arch.univariate.base.ARCHModel.constraints", "arch.univariate.base.ARCHModel.distribution", "arch.univariate.base.ARCHModel.fit", "arch.univariate.base.ARCHModel.fix", "arch.univariate.base.ARCHModel.forecast", "arch.univariate.base.ARCHModel.name", "arch.univariate.base.ARCHModel.num_params", "arch.univariate.base.ARCHModel.parameter_names", "arch.univariate.base.ARCHModel.resids", "arch.univariate.base.ARCHModel.simulate", "arch.univariate.base.ARCHModel.starting_values", "arch.univariate.base.ARCHModel.volatility", "arch.univariate.base.ARCHModel.y", "arch.univariate.base.ARCHModelFixedResult.aic", "arch.univariate.base.ARCHModelFixedResult.arch_lm_test", "arch.univariate.base.ARCHModelFixedResult.bic", "arch.univariate.base.ARCHModelFixedResult.conditional_volatility", "arch.univariate.base.ARCHModelFixedResult.forecast", "arch.univariate.base.ARCHModelFixedResult.hedgehog_plot", "arch.univariate.base.ARCHModelFixedResult.loglikelihood", "arch.univariate.base.ARCHModelFixedResult.model", "arch.univariate.base.ARCHModelFixedResult.nobs", "arch.univariate.base.ARCHModelFixedResult.num_params", "arch.univariate.base.ARCHModelFixedResult.params", "arch.univariate.base.ARCHModelFixedResult.plot", "arch.univariate.base.ARCHModelFixedResult.resid", "arch.univariate.base.ARCHModelFixedResult.std_resid", "arch.univariate.base.ARCHModelFixedResult.summary", "arch.univariate.base.ARCHModelForecast.mean", "arch.univariate.base.ARCHModelForecast.residual_variance", "arch.univariate.base.ARCHModelForecast.simulations", "arch.univariate.base.ARCHModelForecast.variance", "arch.univariate.base.ARCHModelForecastSimulation.index", "arch.univariate.base.ARCHModelForecastSimulation.residual_variances", "arch.univariate.base.ARCHModelForecastSimulation.residuals", "arch.univariate.base.ARCHModelForecastSimulation.values", "arch.univariate.base.ARCHModelForecastSimulation.variances", "arch.univariate.base.ARCHModelResult.aic", "arch.univariate.base.ARCHModelResult.arch_lm_test", "arch.univariate.base.ARCHModelResult.bic", "arch.univariate.base.ARCHModelResult.conditional_volatility", "arch.univariate.base.ARCHModelResult.conf_int", "arch.univariate.base.ARCHModelResult.convergence_flag", "arch.univariate.base.ARCHModelResult.fit_start", "arch.univariate.base.ARCHModelResult.fit_stop", "arch.univariate.base.ARCHModelResult.forecast", "arch.univariate.base.ARCHModelResult.hedgehog_plot", "arch.univariate.base.ARCHModelResult.loglikelihood", "arch.univariate.base.ARCHModelResult.model", "arch.univariate.base.ARCHModelResult.nobs", "arch.univariate.base.ARCHModelResult.num_params", "arch.univariate.base.ARCHModelResult.optimization_result", "arch.univariate.base.ARCHModelResult.param_cov", "arch.univariate.base.ARCHModelResult.params", "arch.univariate.base.ARCHModelResult.plot", "arch.univariate.base.ARCHModelResult.pvalues", "arch.univariate.base.ARCHModelResult.resid", "arch.univariate.base.ARCHModelResult.rsquared", "arch.univariate.base.ARCHModelResult.rsquared_adj", "arch.univariate.base.ARCHModelResult.scale", "arch.univariate.base.ARCHModelResult.std_err", "arch.univariate.base.ARCHModelResult.std_resid", "arch.univariate.base.ARCHModelResult.summary", "arch.univariate.base.ARCHModelResult.tvalues", "arch.univariate.distribution.Distribution.bounds", "arch.univariate.distribution.Distribution.cdf", "arch.univariate.distribution.Distribution.constraints", "arch.univariate.distribution.Distribution.generator", "arch.univariate.distribution.Distribution.loglikelihood", "arch.univariate.distribution.Distribution.moment", "arch.univariate.distribution.Distribution.name", "arch.univariate.distribution.Distribution.parameter_names", "arch.univariate.distribution.Distribution.partial_moment", "arch.univariate.distribution.Distribution.ppf", "arch.univariate.distribution.Distribution.random_state", "arch.univariate.distribution.Distribution.simulate", "arch.univariate.distribution.Distribution.starting_values", "arch.univariate.recursions.VolatilityUpdater.initialize_update", "arch.univariate.volatility.VarianceForecast.forecast_paths", "arch.univariate.volatility.VarianceForecast.forecasts", "arch.univariate.volatility.VarianceForecast.shocks", "arch.univariate.volatility.VolatilityProcess.backcast", "arch.univariate.volatility.VolatilityProcess.backcast_transform", "arch.univariate.volatility.VolatilityProcess.bounds", "arch.univariate.volatility.VolatilityProcess.compute_variance", "arch.univariate.volatility.VolatilityProcess.constraints", "arch.univariate.volatility.VolatilityProcess.forecast", "arch.univariate.volatility.VolatilityProcess.name", "arch.univariate.volatility.VolatilityProcess.num_params", "arch.univariate.volatility.VolatilityProcess.parameter_names", "arch.univariate.volatility.VolatilityProcess.simulate", "arch.univariate.volatility.VolatilityProcess.start", "arch.univariate.volatility.VolatilityProcess.starting_values", "arch.univariate.volatility.VolatilityProcess.stop", "arch.univariate.volatility.VolatilityProcess.update", "arch.univariate.volatility.VolatilityProcess.updateable", "arch.univariate.volatility.VolatilityProcess.variance_bounds", "arch.univariate.volatility.VolatilityProcess.volatility_updater", "Introduction to ARCH Models", "Mean Models", "Model Results", "Univariate Volatility Models", "Forecasting with Exogenous Regressors", "Using the Fixed Variance process", "Volatility Forecasting", "ARCH Modeling", "Volatility Scenarios", "Utilities", "Volatility Processes"], "titleterms": {"": 914, "0": [91, 96, 97, 98], "1": [91, 92, 93, 95, 96, 97, 98], "10": 95, "11": 95, "12": 95, "13": 95, "14": 95, "15": 95, "16": 95, "17": 95, "18": 95, "19": 95, "2": [93, 95, 96, 97], "3": [94, 95, 96, 97], "4": [95, 96], "5": [95, 96], "6": [95, 97], "7": [91, 95, 98], "8": 95, "9": 95, "The": [3, 87, 271, 431], "abil": [270, 271], "acceler": 4, "across": 915, "adf": [275, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303], "aic": [822, 846], "align": 911, "also": [5, 6, 7, 8, 9, 10, 100, 104, 105, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 251, 252, 289, 290, 381], "altern": [89, 913], "alternative_hypothesi": [291, 304, 317, 328, 341, 356, 400, 416], "an": 911, "analysi": 432, "analyt": [437, 913], "andrew": [100, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 434], "aparch": [438, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486], "api": 0, "appli": [11, 26, 41, 56, 71], "approxim": 4, "arch": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 914], "arch_lm_test": [823, 847], "archinmean": [440, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520], "archmodel": [459, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821], "archmodelfixedresult": [460, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836], "archmodelforecast": [461, 837, 838, 839, 840], "archmodelforecastsimul": [462, 841, 842, 843, 844, 845], "archmodelresult": [463, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872], "arrai": [273, 911], "arx": [441, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536], "asymptot": 4, "augment": 434, "auto_bandwidth": 281, "automat": 431, "backcast": [468, 487, 553, 570, 587, 604, 622, 639, 669, 718, 748, 890], "backcast_transform": [469, 488, 554, 571, 588, 605, 623, 640, 670, 719, 749, 891], "background": 435, "bandwidth": [114, 124, 138, 148, 158, 168, 178, 188, 198, 208, 218, 228, 238, 368, 382, 417, 431], "bandwidth_scal": [115, 125, 139, 149, 159, 169, 179, 189, 199, 209, 219, 229, 239], "bartlett": [101, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133], "base": [99, 459, 460, 461, 462, 463, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872], "basic": [4, 430, 913], "bc": 4, "bca": 4, "better_model": 259, "bia": 4, "bic": [824, 848], "block": [0, 3], "bootstrap": [0, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 89, 90, 96, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 437, 913, 915], "bound": [470, 489, 504, 521, 537, 555, 572, 589, 606, 624, 641, 656, 671, 686, 702, 720, 735, 750, 765, 778, 791, 807, 873, 892], "build": 914, "canonicalcointegratingreg": [282, 367], "case": 911, "cdf": [657, 736, 766, 779, 874], "center": [116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240], "chang": [91, 96], "check": 270, "circularblockbootstrap": [5, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], "citat": 248, "class": [99, 274, 437], "clone": [13, 28, 43, 58, 73], "cointegr": [0, 274, 282, 283, 284, 285, 286, 287, 288, 289, 290, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 432, 433], "cointegrating_vector": [401, 418], "cointegrationanalysisresult": [283, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380], "common": [273, 914], "common_asym": 471, "compar": 915, "comparison": [0, 271, 272], "compon": 914, "comput": [253, 260, 266], "compute_param_cov": [505, 522, 538, 687, 703, 792, 808], "compute_vari": [472, 490, 556, 573, 590, 607, 625, 642, 672, 721, 751, 893], "condit": 911, "conditional_volatil": [825, 849], "conf_int": [14, 29, 44, 59, 74, 850], "confid": [4, 270, 271], "constant": 914, "constantmean": [442, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552], "constantvari": [443, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569], "constraint": [473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 722, 737, 752, 767, 780, 793, 809, 875, 894], "construct": 87, "constructor": 907, "convergence_flag": 851, "correct": 4, "cov": [4, 15, 30, 45, 60, 75, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 369, 383], "cov_typ": 384, "covari": [0, 88, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247], "covarianceestim": [102, 103, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147], "critical_valu": [261, 292, 305, 318, 329, 342, 357, 402, 419], "crude": 914, "custom": 915, "d": 86, "data": [86, 911, 912, 913], "datafram": 911, "debias": [4, 343], "definit": 273, "delta": 474, "design": 271, "determinist": 434, "dfgl": [276, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316], "dickei": 434, "dict": 911, "differ": 915, "direct": 912, "directli": 3, "distribut": [0, 86, 436, 464, 507, 524, 540, 689, 705, 794, 810, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 914], "distribution_ord": [403, 420], "dynamicol": [284, 381], "dynamicolsresult": [285, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399], "egarch": [444, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586], "engle_grang": 289, "englegrangertestresult": [286, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414], "error": 914, "estim": [0, 3, 87, 88, 99, 274, 912], "ewmavari": [445, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603], "exampl": [3, 430], "exclud": 254, "exogen": 911, "extra_kwarg": 89, "figarch": [446, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621], "filter": 913, "fit": [3, 367, 381, 415, 508, 525, 541, 690, 706, 795, 811, 911], "fit_start": 852, "fit_stop": 853, "fix": [509, 526, 542, 691, 707, 796, 812, 912, 913, 914], "fixedvari": [447, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 912, 917], "force_int": [118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242], "forecast": [437, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 854, 888, 895, 911, 913], "forecast_path": 887, "form": 511, "from": 914, "full_cov": 385, "full_param": 386, "fuller": 434, "fullymodifiedol": [287, 415], "function": 3, "g": 908, "gallant": [104, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157], "garch": [448, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 914], "gener": [16, 31, 46, 61, 76, 659, 738, 768, 781, 876, 913, 915], "generalizederror": [449, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668], "get_stat": [17, 32, 47, 62, 77], "gjr": 914, "gl": 434, "hac": 0, "harch": [450, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685], "harx": [451, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701], "hedgehog_plot": [827, 855], "high": 0, "histor": 913, "i": 86, "ident": 86, "iidbootstrap": [6, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], "includ": 255, "independ": 86, "independentsamplesbootstrap": [7, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55], "index": [18, 33, 48, 63, 78, 248, 841], "initi": 912, "initialize_upd": 886, "input": 911, "instead": 89, "interfac": 87, "interv": 4, "introduct": [248, 430, 907], "iter": 87, "kernel": [100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 370, 387, 421], "kernel_const": [119, 129, 143, 153, 163, 173, 183, 193, 203, 213, 223, 233, 243], "kernel_weight": [120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244], "kpss": [277, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 434], "l": [452, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717], "lag": [293, 306, 319, 330, 344, 358, 388, 404, 434], "lead": 389, "length": [0, 3], "level": [0, 87], "log": 91, "loglikelihood": [660, 739, 769, 782, 828, 856, 877], "long": [0, 99], "long_run": 134, "long_run_vari": [371, 390], "low": 87, "max_lag": [294, 307, 405], "mc": [250, 253, 254, 255, 256, 257, 258, 270], "mean": [0, 837, 908, 911, 912, 914], "method": [4, 89], "midashyperbol": [453, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734], "model": [0, 3, 96, 270, 271, 829, 857, 907, 908, 909, 910, 911, 912, 914], "modul": 270, "moment": [661, 740, 770, 783, 878], "movingblockbootstrap": [8, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70], "multipl": [0, 270, 271, 272, 911], "name": [121, 131, 145, 155, 165, 175, 185, 195, 205, 215, 225, 235, 245, 406, 422, 476, 493, 512, 528, 544, 559, 576, 593, 610, 628, 645, 662, 675, 693, 709, 724, 741, 754, 771, 784, 798, 814, 879, 896], "nearli": 911, "new": [436, 908, 917], "neweywest": [105, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167], "nob": [295, 308, 320, 331, 345, 359, 830, 858], "nonparametr": 4, "norm": 4, "normal": [4, 454, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747], "note": [4, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 88, 89, 91, 98, 248], "null_hypothesi": [296, 309, 321, 332, 346, 360, 407, 423], "num_param": [477, 494, 513, 529, 545, 560, 577, 594, 611, 629, 646, 676, 694, 710, 725, 755, 799, 815, 831, 859, 897], "number": 434, "one_sid": 135, "one_sided_strict": 136, "opt_bandwidth": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246], "optim": 3, "optimal_block_length": 10, "optimization_result": 860, "option": 437, "origin": 911, "other": 273, "ouliari": 433, "out": 911, "output": [434, 437], "overlap": 347, "param": [372, 391, 832, 862], "param_cov": 861, "paramet": [87, 914], "parameter_nam": [478, 495, 514, 530, 546, 561, 578, 595, 612, 630, 647, 663, 677, 695, 711, 726, 742, 756, 772, 785, 800, 816, 880, 898], "parameterless": 917, "parametr": [4, 89, 913], "partial": 89, "partial_mo": [664, 743, 773, 786, 881], "parzen": [106, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177], "parzencauchi": [107, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187], "parzengeometr": [108, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197], "parzenriesz": [109, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207], "past": 91, "path": 915, "percentil": 4, "perron": 434, "phillip": [433, 434], "phillips_ouliari": 290, "phillipsouliaristestresult": [288, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429], "phillipsperron": [278, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340], "plot": [408, 424, 833, 863, 911], "power": 271, "ppf": [665, 744, 774, 787, 882], "predict": [270, 271], "probit": 3, "procedur": 272, "process": [0, 912, 914, 917], "produc": 911, "pvalu": [256, 262, 297, 310, 322, 333, 348, 361, 373, 392, 409, 425, 864], "quadraticspectr": [110, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217], "random": 915, "random_st": [19, 34, 49, 64, 79, 666, 745, 775, 788, 883], "rate": [123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247], "ratio": [3, 434], "re": 912, "realiti": 270, "recurs": [465, 886, 913], "refer": [0, 1, 249, 270], "regress": [298, 311, 334, 434], "regressor": 911, "relationship": 0, "releas": [91, 95, 96, 97, 98], "reproduc": 3, "requir": 908, "reset": [20, 35, 50, 65, 80, 257, 263, 267], "resid": [374, 393, 410, 426, 515, 531, 547, 696, 712, 801, 817, 834, 865], "residu": 843, "residual_vari": [375, 394, 838, 842], "result": [99, 274, 909, 916], "rho": 411, "risk": 913, "riskmetrics2006": [455, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764], "robust": 349, "roll": 913, "root": [0, 96, 431, 432, 434], "rsquar": [376, 395, 866], "rsquared_adj": [377, 396, 867], "run": [0, 99], "sampl": [3, 86, 911], "scale": 868, "scenario": 915, "scheme": 913, "see": [5, 6, 7, 8, 9, 10, 100, 104, 105, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 251, 252, 289, 290, 381], "seed": [21, 36, 51, 66, 81, 258, 264, 268], "select": [0, 431], "semi": 4, "semiparametr": 89, "seri": 90, "set": [270, 271, 434], "set_stat": [22, 37, 52, 67, 82], "setup": [4, 96, 434, 912, 914], "sharp": 3, "shock": [0, 889], "short_run": 137, "simul": [437, 479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 667, 678, 697, 713, 727, 746, 757, 776, 789, 802, 818, 839, 884, 899, 911, 913, 914], "sinc": 96, "singl": 911, "size": 911, "skewstud": [456, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777], "spa": [251, 259, 260, 261, 262, 263, 264, 265, 270, 271], "special": [908, 911], "specif": 0, "specifi": 914, "speed": 3, "start": [480, 497, 563, 580, 597, 614, 632, 649, 679, 728, 758, 900], "starting_valu": [481, 498, 517, 533, 549, 564, 581, 598, 615, 633, 650, 668, 680, 698, 714, 729, 747, 759, 777, 790, 803, 819, 885, 901], "stat": [299, 312, 323, 335, 350, 362, 412, 427], "state": [23, 38, 53, 68, 83], "static": 911, "stationarybootstrap": [9, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85], "statsmodel": 3, "std_err": 869, "std_error": [378, 397], "std_resid": [835, 870], "stepm": [252, 266, 267, 268, 269, 270, 271], "stepwis": [270, 271], "stop": [482, 499, 565, 582, 599, 616, 634, 651, 681, 730, 760, 902], "student": [4, 914], "studentst": [457, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790], "studi": 271, "subset": 265, "summari": [300, 313, 324, 336, 351, 363, 379, 398, 413, 428, 836, 871], "superior": [270, 271], "superior_model": 269, "t": 914, "tarch": [913, 914], "target": 911, "term": 434, "test": [0, 270, 271, 274, 431, 432, 433, 434, 916], "test_typ": 337, "theoret": 435, "thing": 3, "time": 90, "trend": [301, 314, 325, 338, 352, 364, 414, 429], "true": 911, "truncat": 617, "tukeyham": [111, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227], "tukeyhan": [112, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237], "tukeyparzen": [113, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247], "tvalu": [380, 399, 872], "type": [4, 273], "understand": 437, "uneven": 3, "unit": [0, 96, 431, 432, 434], "unitroot": [275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429], "univari": [438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 910], "up": 3, "updat": [483, 484, 500, 501, 566, 567, 583, 584, 600, 601, 618, 619, 635, 636, 652, 653, 682, 683, 731, 732, 761, 762, 903, 904], "update_indic": [24, 39, 54, 69, 84], "us": [89, 911, 912], "util": 916, "v": 911, "valid_trend": [302, 315, 326, 339, 353, 365], "valu": [844, 911, 913], "var": [4, 25, 40, 55, 70, 85, 913], "variabl": 911, "varianc": [434, 840, 845, 912, 917], "variance_bound": [485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905], "varianceforecast": [466, 887, 888, 889], "varianceratio": [279, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355], "vector": 274, "version": [91, 92, 93, 94, 95, 96, 97, 98], "visual": 915, "volatil": [0, 96, 466, 467, 518, 534, 550, 699, 715, 804, 820, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 910, 912, 913, 914, 915, 917], "volatility_updat": [486, 503, 569, 586, 603, 621, 638, 655, 685, 734, 764, 906], "volatilityprocess": [467, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906], "volatilityupdat": [465, 886], "vr": 354, "warn": [3, 89], "window": 913, "wrapper": 3, "write": [436, 908, 917], "wti": 914, "x": [519, 535, 551, 700, 716, 805, 911], "y": [303, 316, 327, 340, 355, 366, 520, 536, 552, 701, 717, 806, 821], "year": 915, "zag": 912, "zarch": 914, "zeromean": [458, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806], "zig": 912, "zivot": 434, "zivotandrew": [280, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366]}})
\ No newline at end of file
+Search.setIndex({"alltitles": {"(G)ARCH-in-mean Models": [[908, "g-arch-in-mean-models"]], "(Nearly) out-of-sample forecasts": [[911, "(Nearly)-out-of-sample-forecasts"]], "API Reference": [[0, null]], "ARCH Modeling": [[914, null]], "Alternative Forecast Generation Schemes": [[913, "Alternative-Forecast-Generation-Schemes"]], "Analytical Forecasts": [[437, "analytical-forecasts"], [913, "Analytical-Forecasts"]], "Array Types": [[273, "array-types"]], "Asymptotic Normal Approximation (norm, cov or var)": [[4, "asymptotic-normal-approximation-norm-cov-or-var"]], "Augmented Dickey-Fuller Testing": [[434, "Augmented-Dickey-Fuller-Testing"]], "Automatic Bandwidth Selection": [[431, "automatic-bandwidth-selection"]], "Base Class": [[99, "base-class"]], "Basic (basic)": [[4, "basic-basic"]], "Basic Example": [[430, "basic-example"]], "Basic Forecasting": [[913, "Basic-Forecasting"]], "Bias-corrected (bc, bias-corrected or debiased)": [[4, "bias-corrected-bc-bias-corrected-or-debiased"]], "Bias-corrected and accelerated (bca)": [[4, "bias-corrected-and-accelerated-bca"]], "Block-length Selection": [[0, "block-length-selection"]], "Bootstrap": [[96, "bootstrap"]], "Bootstrap Examples": [[3, null]], "Bootstrap Forecasts": [[437, "bootstrap-forecasts"], [913, "Bootstrap-Forecasts"]], "Bootstrap Scenarios": [[915, "Bootstrap-Scenarios"]], "Bootstrapping": [[2, null]], "Bootstrapping Uneven Length Samples": [[3, "Bootstrapping-Uneven-Length-Samples"]], "Bootstraps": [[0, "bootstraps"]], "Building a Model From Components": [[914, "Building-a-Model-From-Components"]], "Change Logs": [[91, null]], "Changes Since 5.5": [[96, "changes-since-5-5"]], "Citation": [[248, "citation"]], "Cointegrating Relationship Estimation": [[0, "cointegrating-relationship-estimation"]], "Cointegrating Vector Estimation": [[274, "cointegrating-vector-estimation"]], "Cointegration Analysis": [[432, "cointegration-analysis"]], "Cointegration Testing": [[0, "cointegration-testing"], [433, null]], "Cointegration Tests": [[274, null]], "Common Type Definitions": [[273, null]], "Comparing across the year": [[915, "Comparing-across-the-year"]], "Comparing the paths": [[915, "Comparing-the-paths"]], "Conditional Mean Alignment vs. Forecast Alignment": [[911, "Conditional-Mean-Alignment-vs.-Forecast-Alignment"]], "Conditional Mean uses target alignment": [[911, "Conditional-Mean-uses-target-alignment"]], "Confidence Interval Methods": [[4, "confidence-interval-methods"]], "Confidence Interval Types": [[4, "confidence-interval-types"]], "Confidence Intervals": [[4, null]], "Constructing Parameter Estimates": [[87, "constructing-parameter-estimates"]], "Covariance Estimation": [[88, null]], "Custom Random Generators": [[915, "Custom-Random-Generators"]], "Data": [[912, "Data"], [913, "Data"]], "Deterministic terms": [[434, "Deterministic-terms"]], "Dickey-Fuller GLS Testing": [[434, "Dickey-Fuller-GLS-Testing"]], "Direct Estimation": [[912, "Direct-Estimation"]], "Distributions": [[436, null], [914, "Distributions"]], "Filtered Historical Simulation": [[913, "Filtered-Historical-Simulation"]], "Fitting the model": [[911, "Fitting-the-model"]], "Fitting the model directly": [[3, "Fitting-the-model-directly"]], "Fixed Window Forecasting": [[913, "Fixed-Window-Forecasting"]], "FixedVariance": [[917, "fixedvariance"]], "Fixing Parameters": [[914, "Fixing-Parameters"]], "Forecasting": [[437, null]], "Forecasting Options": [[437, "forecasting-options"]], "Forecasting the X values": [[911, "Forecasting-the-X-values"]], "Forecasting with Exogenous Regressors": [[911, null]], "GARCH (with a Constant Mean)": [[914, "GARCH-(with-a-Constant-Mean)"]], "GJR-GARCH": [[914, "GJR-GARCH"]], "High-level": [[0, "high-level"]], "Independent Samples": [[86, "independent-samples"]], "Independent, Identical Distributed Data (i.i.d.)": [[86, null]], "Index": [[248, "index"]], "Initial Mean Model Estimation": [[912, "Initial-Mean-Model-Estimation"]], "Initial Volatility Model Estimation": [[912, "Initial-Volatility-Model-Estimation"]], "Introduction": [[248, "introduction"], [430, null]], "Introduction to ARCH Models": [[907, null]], "KPSS Testing": [[434, "KPSS-Testing"]], "Long-run Covariance (HAC) Estimation": [[0, "long-run-covariance-hac-estimation"]], "Long-run Covariance Estimation": [[99, null]], "Long-run Covariance Estimators": [[99, "module-arch.covariance.kernel"]], "Low-level Interfaces": [[87, null]], "Mean Models": [[908, null], [914, "Mean-Models"]], "Mean Specification": [[0, "mean-specification"]], "Model Confidence Set (MCS)": [[270, "model-confidence-set-mcs"]], "Model Constructor": [[907, "model-constructor"]], "Model Results": [[909, null]], "Module Reference": [[270, null]], "Multiple Comparison Procedures": [[272, null]], "Multiple Comparisons": [[271, null]], "Nonparametric Confidence Intervals": [[4, "nonparametric-confidence-intervals"]], "Note": [[4, null], [4, null], [4, null], [4, null], [4, null], [12, null], [15, null], [25, null], [27, null], [30, null], [40, null], [42, null], [45, null], [55, null], [57, null], [60, null], [70, null], [72, null], [75, null], [85, null], [88, null], [89, null], [89, null], [89, null], [91, null], [98, null], [248, null]], "Optimal Block Length Estimation": [[3, "Optimal-Block-Length-Estimation"]], "Other Types": [[273, "other-types"]], "Output Classes": [[437, "output-classes"]], "Parameterless Variance Processes": [[917, "parameterless-variance-processes"]], "Parametric Bootstraps": [[89, "parametric-bootstraps"]], "Parametric Confidence Intervals": [[4, "parametric-confidence-intervals"]], "Parametric VaR": [[913, "Parametric-VaR"]], "Past Releases": [[91, "past-releases"]], "Percentile (percentile)": [[4, "percentile-percentile"]], "Phillips-Ouliaris": [[433, "Phillips-Ouliaris"]], "Phillips-Perron Testing": [[434, "Phillips-Perron-Testing"]], "Plotting the data": [[911, "Plotting-the-data"]], "Power": [[271, "Power"]], "Probit (statsmodels)": [[3, "Probit-(statsmodels)"]], "Producing multiple forecasts": [[911, "Producing-multiple-forecasts"]], "Re-estimating the mean with a FixedVariance": [[912, "Re-estimating-the-mean-with-a-FixedVariance"]], "Recursive Forecast Generation": [[913, "Recursive-Forecast-Generation"]], "References": [[1, null], [249, null]], "Regression output": [[434, "Regression-output"]], "Release 4.10": [[95, "release-4-10"]], "Release 4.11": [[95, "release-4-11"]], "Release 4.12": [[95, "release-4-12"]], "Release 4.13": [[95, "release-4-13"]], "Release 4.14": [[95, "release-4-14"]], "Release 4.15": [[95, "release-4-15"]], "Release 4.16": [[95, "release-4-16"]], "Release 4.17": [[95, "release-4-17"]], "Release 4.18": [[95, "release-4-18"]], "Release 4.19": [[95, "release-4-19"]], "Release 4.2": [[95, "release-4-2"]], "Release 4.3": [[95, "release-4-3"]], "Release 4.4": [[95, "release-4-4"]], "Release 4.5": [[95, "release-4-5"]], "Release 4.6": [[95, "release-4-6"]], "Release 4.7": [[95, "release-4-7"]], "Release 4.8": [[95, "release-4-8"]], "Release 4.8.1": [[95, "release-4-8-1"]], "Release 4.9": [[95, "release-4-9"]], "Release 5.0": [[96, "release-5-0"]], "Release 5.1": [[96, "release-5-1"]], "Release 5.2": [[96, "release-5-2"]], "Release 5.3": [[96, "release-5-3"]], "Release 5.4": [[96, "release-5-4"]], "Release 5.5": [[96, "release-5-5"]], "Release 6.0": [[97, "release-6-0"]], "Release 6.1": [[97, "release-6-1"]], "Release 6.2": [[97, "release-6-2"]], "Release 6.3": [[97, "release-6-3"]], "Release 7.0": [[91, "release-7-0"], [98, "release-7-0"]], "Release 7.1": [[91, "release-7-1"], [98, "release-7-1"]], "Reproducibility": [[3, "Reproducibility"]], "Results": [[99, "results"]], "Results Classes": [[274, "results-classes"]], "Rolling Window Forecasting": [[913, "Rolling-Window-Forecasting"]], "See also": [[5, null], [6, null], [7, null], [8, null], [9, null], [10, null], [100, null], [104, null], [105, null], [117, null], [127, null], [141, null], [151, null], [161, null], [171, null], [181, null], [191, null], [201, null], [211, null], [221, null], [231, null], [241, null], [251, null], [252, null], [289, null], [290, null], [381, null]], "Semi-parametric Confidence Intervals": [[4, "semi-parametric-confidence-intervals"]], "Semiparametric Bootstrap (Alternative Method)": [[89, "semiparametric-bootstrap-alternative-method"]], "Semiparametric Bootstraps": [[89, null]], "Setting the number of lags": [[434, "Setting-the-number-of-lags"]], "Setup": [[4, "setup"], [96, "setup"], [434, "Setup"], [912, "Setup"], [914, "Setup"]], "Sharpe Ratio": [[3, "Sharpe-Ratio"]], "Shock Distributions": [[0, "shock-distributions"]], "Simulating data": [[911, "Simulating-data"]], "Simulating the out-of-sample x": [[911, "Simulating-the-out-of-sample-x"]], "Simulation": [[911, "Simulation"], [914, "Simulation"]], "Simulation Forecasts": [[437, "simulation-forecasts"], [913, "Simulation-Forecasts"]], "Special Cases with a single x variable": [[911, "Special-Cases-with-a-single-x-variable"]], "Special Requirements": [[908, "special-requirements"]], "Specifying Common Models": [[914, "Specifying-Common-Models"]], "Speeding things up": [[3, "Speeding-things-up"]], "Static out-of-sample x": [[911, "Static-out-of-sample-x"]], "Stepwise Multiple Testing (StepM)": [[270, "stepwise-multiple-testing-stepm"], [271, "Stepwise-Multiple-Testing-(StepM)"]], "Studentized (studentized)": [[4, "studentized-studentized"]], "Student\u2019s T Errors": [[914, "Student's-T-Errors"]], "Study Design": [[271, "Study-Design"]], "TARCH": [[913, "TARCH"]], "TARCH/ZARCH": [[914, "TARCH/ZARCH"]], "Test Results": [[916, "test-results"]], "Test of Superior Predictive Ability (SPA), Reality Check": [[270, "test-of-superior-predictive-ability-spa-reality-check"]], "Testing with Multiple-Comparison": [[0, "testing-with-multiple-comparison"]], "The Bootstrap Iterator": [[87, "the-bootstrap-iterator"]], "The Model Confidence Set": [[271, "The-Model-Confidence-Set"]], "The Unit Root Tests": [[431, null]], "The test of Superior Predictive Ability (SPA)": [[271, "The-test-of-Superior-Predictive-Ability-(SPA)"]], "The wrapper function": [[3, "The-wrapper-function"]], "Theoretical Background": [[435, null]], "Time-series Bootstraps": [[90, null]], "True out-of-sample forecasts": [[911, "True-out-of-sample-forecasts"]], "Understanding Forecast Output": [[437, "understanding-forecast-output"]], "Unit Root": [[96, "unit-root"], [96, "id1"]], "Unit Root Testing": [[0, "unit-root-testing"], [432, null], [434, null]], "Univariate Volatility Models": [[910, null]], "Using DataFrame": [[911, "Using-DataFrame"]], "Using a dict": [[911, "Using-a-dict"]], "Using an array": [[911, "Using-an-array"]], "Using partial instead of extra_kwargs": [[89, "using-partial-instead-of-extra-kwargs"]], "Using the Fixed Variance process": [[912, null]], "Utilities": [[916, null]], "Value-at-Risk Forecasting": [[913, "Value-at-Risk-Forecasting"]], "Variance Ratio Testing": [[434, "Variance-Ratio-Testing"]], "Version 1": [[92, null]], "Version 1.1": [[92, "version-1-1"]], "Version 2": [[93, null]], "Version 2.1": [[93, "version-2-1"]], "Version 2.2": [[93, "version-2-2"]], "Version 3": [[94, null]], "Version 4": [[95, null]], "Version 5": [[96, null]], "Version 6": [[97, null]], "Version 7": [[91, "version-7"], [98, null]], "Visualizing the differences": [[915, "Visualizing-the-differences"]], "Volatility Forecasting": [[913, null]], "Volatility Modeling": [[0, "volatility-modeling"], [96, "volatility-modeling"]], "Volatility Process Specification": [[0, "volatility-process-specification"]], "Volatility Processes": [[914, "Volatility-Processes"], [917, null]], "Volatility Scenarios": [[915, null]], "WTI Crude": [[914, "WTI-Crude"]], "Warning": [[3, "Warning"], [89, null]], "Writing New Distributions": [[436, "writing-new-distributions"]], "Writing New Mean Models": [[908, "writing-new-mean-models"]], "Writing New Volatility Processes": [[917, "writing-new-volatility-processes"]], "Zig-Zag estimation": [[912, "Zig-Zag-estimation"]], "Zivot-Andrews Test": [[434, "Zivot-Andrews-Test"]], "arch.bootstrap.CircularBlockBootstrap": [[5, null]], "arch.bootstrap.CircularBlockBootstrap.apply": [[11, null]], "arch.bootstrap.CircularBlockBootstrap.bootstrap": [[12, null]], "arch.bootstrap.CircularBlockBootstrap.clone": [[13, null]], "arch.bootstrap.CircularBlockBootstrap.conf_int": [[14, null]], "arch.bootstrap.CircularBlockBootstrap.cov": [[15, null]], "arch.bootstrap.CircularBlockBootstrap.generator": [[16, null]], "arch.bootstrap.CircularBlockBootstrap.get_state": [[17, null]], "arch.bootstrap.CircularBlockBootstrap.index": [[18, null]], "arch.bootstrap.CircularBlockBootstrap.random_state": [[19, null]], "arch.bootstrap.CircularBlockBootstrap.reset": [[20, null]], "arch.bootstrap.CircularBlockBootstrap.seed": [[21, null]], "arch.bootstrap.CircularBlockBootstrap.set_state": [[22, null]], "arch.bootstrap.CircularBlockBootstrap.state": [[23, null]], "arch.bootstrap.CircularBlockBootstrap.update_indices": [[24, null]], "arch.bootstrap.CircularBlockBootstrap.var": [[25, null]], "arch.bootstrap.IIDBootstrap": [[6, null]], "arch.bootstrap.IIDBootstrap.apply": [[26, null]], "arch.bootstrap.IIDBootstrap.bootstrap": [[27, null]], "arch.bootstrap.IIDBootstrap.clone": [[28, null]], "arch.bootstrap.IIDBootstrap.conf_int": [[29, null]], "arch.bootstrap.IIDBootstrap.cov": [[30, null]], "arch.bootstrap.IIDBootstrap.generator": [[31, null]], "arch.bootstrap.IIDBootstrap.get_state": [[32, null]], "arch.bootstrap.IIDBootstrap.index": [[33, null]], "arch.bootstrap.IIDBootstrap.random_state": [[34, null]], "arch.bootstrap.IIDBootstrap.reset": [[35, null]], "arch.bootstrap.IIDBootstrap.seed": [[36, null]], "arch.bootstrap.IIDBootstrap.set_state": [[37, null]], "arch.bootstrap.IIDBootstrap.state": [[38, null]], "arch.bootstrap.IIDBootstrap.update_indices": [[39, null]], "arch.bootstrap.IIDBootstrap.var": [[40, null]], "arch.bootstrap.IndependentSamplesBootstrap": [[7, null]], "arch.bootstrap.IndependentSamplesBootstrap.apply": [[41, null]], "arch.bootstrap.IndependentSamplesBootstrap.bootstrap": [[42, null]], "arch.bootstrap.IndependentSamplesBootstrap.clone": [[43, null]], "arch.bootstrap.IndependentSamplesBootstrap.conf_int": [[44, null]], "arch.bootstrap.IndependentSamplesBootstrap.cov": [[45, null]], "arch.bootstrap.IndependentSamplesBootstrap.generator": [[46, null]], "arch.bootstrap.IndependentSamplesBootstrap.get_state": [[47, null]], "arch.bootstrap.IndependentSamplesBootstrap.index": [[48, null]], "arch.bootstrap.IndependentSamplesBootstrap.random_state": [[49, null]], "arch.bootstrap.IndependentSamplesBootstrap.reset": [[50, null]], "arch.bootstrap.IndependentSamplesBootstrap.seed": [[51, null]], "arch.bootstrap.IndependentSamplesBootstrap.set_state": [[52, null]], "arch.bootstrap.IndependentSamplesBootstrap.state": [[53, null]], "arch.bootstrap.IndependentSamplesBootstrap.update_indices": [[54, null]], "arch.bootstrap.IndependentSamplesBootstrap.var": [[55, null]], "arch.bootstrap.MCS": [[250, null]], "arch.bootstrap.MCS.compute": [[253, null]], "arch.bootstrap.MCS.excluded": [[254, null]], "arch.bootstrap.MCS.included": [[255, null]], "arch.bootstrap.MCS.pvalues": [[256, null]], "arch.bootstrap.MCS.reset": [[257, null]], "arch.bootstrap.MCS.seed": [[258, null]], "arch.bootstrap.MovingBlockBootstrap": [[8, null]], "arch.bootstrap.MovingBlockBootstrap.apply": [[56, null]], "arch.bootstrap.MovingBlockBootstrap.bootstrap": [[57, null]], "arch.bootstrap.MovingBlockBootstrap.clone": [[58, null]], "arch.bootstrap.MovingBlockBootstrap.conf_int": [[59, null]], "arch.bootstrap.MovingBlockBootstrap.cov": [[60, null]], "arch.bootstrap.MovingBlockBootstrap.generator": [[61, null]], "arch.bootstrap.MovingBlockBootstrap.get_state": [[62, null]], "arch.bootstrap.MovingBlockBootstrap.index": [[63, null]], "arch.bootstrap.MovingBlockBootstrap.random_state": [[64, null]], "arch.bootstrap.MovingBlockBootstrap.reset": [[65, null]], "arch.bootstrap.MovingBlockBootstrap.seed": [[66, null]], "arch.bootstrap.MovingBlockBootstrap.set_state": [[67, null]], "arch.bootstrap.MovingBlockBootstrap.state": [[68, null]], "arch.bootstrap.MovingBlockBootstrap.update_indices": [[69, null]], "arch.bootstrap.MovingBlockBootstrap.var": [[70, null]], "arch.bootstrap.SPA": [[251, null]], "arch.bootstrap.SPA.better_models": [[259, null]], "arch.bootstrap.SPA.compute": [[260, null]], "arch.bootstrap.SPA.critical_values": [[261, null]], "arch.bootstrap.SPA.pvalues": [[262, null]], "arch.bootstrap.SPA.reset": [[263, null]], "arch.bootstrap.SPA.seed": [[264, null]], "arch.bootstrap.SPA.subset": [[265, null]], "arch.bootstrap.StationaryBootstrap": [[9, null]], "arch.bootstrap.StationaryBootstrap.apply": [[71, null]], "arch.bootstrap.StationaryBootstrap.bootstrap": [[72, null]], "arch.bootstrap.StationaryBootstrap.clone": [[73, null]], "arch.bootstrap.StationaryBootstrap.conf_int": [[74, null]], "arch.bootstrap.StationaryBootstrap.cov": [[75, null]], "arch.bootstrap.StationaryBootstrap.generator": [[76, null]], "arch.bootstrap.StationaryBootstrap.get_state": [[77, null]], "arch.bootstrap.StationaryBootstrap.index": [[78, null]], "arch.bootstrap.StationaryBootstrap.random_state": [[79, null]], "arch.bootstrap.StationaryBootstrap.reset": [[80, null]], "arch.bootstrap.StationaryBootstrap.seed": [[81, null]], "arch.bootstrap.StationaryBootstrap.set_state": [[82, null]], "arch.bootstrap.StationaryBootstrap.state": [[83, null]], "arch.bootstrap.StationaryBootstrap.update_indices": [[84, null]], "arch.bootstrap.StationaryBootstrap.var": [[85, null]], "arch.bootstrap.StepM": [[252, null]], "arch.bootstrap.StepM.compute": [[266, null]], "arch.bootstrap.StepM.reset": [[267, null]], "arch.bootstrap.StepM.seed": [[268, null]], "arch.bootstrap.StepM.superior_models": [[269, null]], "arch.bootstrap.optimal_block_length": [[10, null]], "arch.covariance.kernel.Andrews": [[100, null]], "arch.covariance.kernel.Andrews.bandwidth": [[114, null]], "arch.covariance.kernel.Andrews.bandwidth_scale": [[115, null]], "arch.covariance.kernel.Andrews.centered": [[116, null]], "arch.covariance.kernel.Andrews.cov": [[117, null]], "arch.covariance.kernel.Andrews.force_int": [[118, null]], "arch.covariance.kernel.Andrews.kernel_const": [[119, null]], "arch.covariance.kernel.Andrews.kernel_weights": [[120, null]], "arch.covariance.kernel.Andrews.name": [[121, null]], "arch.covariance.kernel.Andrews.opt_bandwidth": [[122, null]], "arch.covariance.kernel.Andrews.rate": [[123, null]], "arch.covariance.kernel.Bartlett": [[101, null]], "arch.covariance.kernel.Bartlett.bandwidth": [[124, null]], "arch.covariance.kernel.Bartlett.bandwidth_scale": [[125, null]], "arch.covariance.kernel.Bartlett.centered": [[126, null]], "arch.covariance.kernel.Bartlett.cov": [[127, null]], "arch.covariance.kernel.Bartlett.force_int": [[128, null]], "arch.covariance.kernel.Bartlett.kernel_const": [[129, null]], "arch.covariance.kernel.Bartlett.kernel_weights": [[130, null]], "arch.covariance.kernel.Bartlett.name": [[131, null]], "arch.covariance.kernel.Bartlett.opt_bandwidth": [[132, null]], "arch.covariance.kernel.Bartlett.rate": [[133, null]], "arch.covariance.kernel.CovarianceEstimate": [[102, null]], "arch.covariance.kernel.CovarianceEstimate.long_run": [[134, null]], "arch.covariance.kernel.CovarianceEstimate.one_sided": [[135, null]], "arch.covariance.kernel.CovarianceEstimate.one_sided_strict": [[136, null]], "arch.covariance.kernel.CovarianceEstimate.short_run": [[137, null]], "arch.covariance.kernel.CovarianceEstimator": [[103, null]], "arch.covariance.kernel.CovarianceEstimator.bandwidth": [[138, null]], "arch.covariance.kernel.CovarianceEstimator.bandwidth_scale": [[139, null]], "arch.covariance.kernel.CovarianceEstimator.centered": [[140, null]], "arch.covariance.kernel.CovarianceEstimator.cov": [[141, null]], "arch.covariance.kernel.CovarianceEstimator.force_int": [[142, null]], "arch.covariance.kernel.CovarianceEstimator.kernel_const": [[143, null]], "arch.covariance.kernel.CovarianceEstimator.kernel_weights": [[144, null]], "arch.covariance.kernel.CovarianceEstimator.name": [[145, null]], "arch.covariance.kernel.CovarianceEstimator.opt_bandwidth": [[146, null]], "arch.covariance.kernel.CovarianceEstimator.rate": [[147, null]], "arch.covariance.kernel.Gallant": [[104, null]], "arch.covariance.kernel.Gallant.bandwidth": [[148, null]], "arch.covariance.kernel.Gallant.bandwidth_scale": [[149, null]], "arch.covariance.kernel.Gallant.centered": [[150, null]], "arch.covariance.kernel.Gallant.cov": [[151, null]], "arch.covariance.kernel.Gallant.force_int": [[152, null]], "arch.covariance.kernel.Gallant.kernel_const": [[153, null]], "arch.covariance.kernel.Gallant.kernel_weights": [[154, null]], "arch.covariance.kernel.Gallant.name": [[155, null]], "arch.covariance.kernel.Gallant.opt_bandwidth": [[156, null]], "arch.covariance.kernel.Gallant.rate": [[157, null]], "arch.covariance.kernel.NeweyWest": [[105, null]], "arch.covariance.kernel.NeweyWest.bandwidth": [[158, null]], "arch.covariance.kernel.NeweyWest.bandwidth_scale": [[159, null]], "arch.covariance.kernel.NeweyWest.centered": [[160, null]], "arch.covariance.kernel.NeweyWest.cov": [[161, null]], "arch.covariance.kernel.NeweyWest.force_int": [[162, null]], "arch.covariance.kernel.NeweyWest.kernel_const": [[163, null]], "arch.covariance.kernel.NeweyWest.kernel_weights": [[164, null]], "arch.covariance.kernel.NeweyWest.name": [[165, null]], "arch.covariance.kernel.NeweyWest.opt_bandwidth": [[166, null]], "arch.covariance.kernel.NeweyWest.rate": [[167, null]], "arch.covariance.kernel.Parzen": [[106, null]], "arch.covariance.kernel.Parzen.bandwidth": [[168, null]], "arch.covariance.kernel.Parzen.bandwidth_scale": [[169, null]], "arch.covariance.kernel.Parzen.centered": [[170, null]], "arch.covariance.kernel.Parzen.cov": [[171, null]], "arch.covariance.kernel.Parzen.force_int": [[172, null]], "arch.covariance.kernel.Parzen.kernel_const": [[173, null]], "arch.covariance.kernel.Parzen.kernel_weights": [[174, null]], "arch.covariance.kernel.Parzen.name": [[175, null]], "arch.covariance.kernel.Parzen.opt_bandwidth": [[176, null]], "arch.covariance.kernel.Parzen.rate": [[177, null]], "arch.covariance.kernel.ParzenCauchy": [[107, null]], "arch.covariance.kernel.ParzenCauchy.bandwidth": [[178, null]], "arch.covariance.kernel.ParzenCauchy.bandwidth_scale": [[179, null]], "arch.covariance.kernel.ParzenCauchy.centered": [[180, null]], "arch.covariance.kernel.ParzenCauchy.cov": [[181, null]], "arch.covariance.kernel.ParzenCauchy.force_int": [[182, null]], "arch.covariance.kernel.ParzenCauchy.kernel_const": [[183, null]], "arch.covariance.kernel.ParzenCauchy.kernel_weights": [[184, null]], "arch.covariance.kernel.ParzenCauchy.name": [[185, null]], "arch.covariance.kernel.ParzenCauchy.opt_bandwidth": [[186, null]], "arch.covariance.kernel.ParzenCauchy.rate": [[187, null]], "arch.covariance.kernel.ParzenGeometric": [[108, null]], "arch.covariance.kernel.ParzenGeometric.bandwidth": [[188, null]], "arch.covariance.kernel.ParzenGeometric.bandwidth_scale": [[189, null]], "arch.covariance.kernel.ParzenGeometric.centered": [[190, null]], "arch.covariance.kernel.ParzenGeometric.cov": [[191, null]], "arch.covariance.kernel.ParzenGeometric.force_int": [[192, null]], "arch.covariance.kernel.ParzenGeometric.kernel_const": [[193, null]], "arch.covariance.kernel.ParzenGeometric.kernel_weights": [[194, null]], "arch.covariance.kernel.ParzenGeometric.name": [[195, null]], "arch.covariance.kernel.ParzenGeometric.opt_bandwidth": [[196, null]], "arch.covariance.kernel.ParzenGeometric.rate": [[197, null]], "arch.covariance.kernel.ParzenRiesz": [[109, null]], "arch.covariance.kernel.ParzenRiesz.bandwidth": [[198, null]], "arch.covariance.kernel.ParzenRiesz.bandwidth_scale": [[199, null]], "arch.covariance.kernel.ParzenRiesz.centered": [[200, null]], "arch.covariance.kernel.ParzenRiesz.cov": [[201, null]], "arch.covariance.kernel.ParzenRiesz.force_int": [[202, null]], "arch.covariance.kernel.ParzenRiesz.kernel_const": [[203, null]], "arch.covariance.kernel.ParzenRiesz.kernel_weights": [[204, null]], "arch.covariance.kernel.ParzenRiesz.name": [[205, null]], "arch.covariance.kernel.ParzenRiesz.opt_bandwidth": [[206, null]], "arch.covariance.kernel.ParzenRiesz.rate": [[207, null]], "arch.covariance.kernel.QuadraticSpectral": [[110, null]], "arch.covariance.kernel.QuadraticSpectral.bandwidth": [[208, null]], "arch.covariance.kernel.QuadraticSpectral.bandwidth_scale": [[209, null]], "arch.covariance.kernel.QuadraticSpectral.centered": [[210, null]], "arch.covariance.kernel.QuadraticSpectral.cov": [[211, null]], "arch.covariance.kernel.QuadraticSpectral.force_int": [[212, null]], "arch.covariance.kernel.QuadraticSpectral.kernel_const": [[213, null]], "arch.covariance.kernel.QuadraticSpectral.kernel_weights": [[214, null]], "arch.covariance.kernel.QuadraticSpectral.name": [[215, null]], "arch.covariance.kernel.QuadraticSpectral.opt_bandwidth": [[216, null]], "arch.covariance.kernel.QuadraticSpectral.rate": [[217, null]], "arch.covariance.kernel.TukeyHamming": [[111, null]], "arch.covariance.kernel.TukeyHamming.bandwidth": [[218, null]], "arch.covariance.kernel.TukeyHamming.bandwidth_scale": [[219, null]], "arch.covariance.kernel.TukeyHamming.centered": [[220, null]], "arch.covariance.kernel.TukeyHamming.cov": [[221, null]], "arch.covariance.kernel.TukeyHamming.force_int": [[222, null]], "arch.covariance.kernel.TukeyHamming.kernel_const": [[223, null]], "arch.covariance.kernel.TukeyHamming.kernel_weights": [[224, null]], "arch.covariance.kernel.TukeyHamming.name": [[225, null]], "arch.covariance.kernel.TukeyHamming.opt_bandwidth": [[226, null]], "arch.covariance.kernel.TukeyHamming.rate": [[227, null]], "arch.covariance.kernel.TukeyHanning": [[112, null]], "arch.covariance.kernel.TukeyHanning.bandwidth": [[228, null]], "arch.covariance.kernel.TukeyHanning.bandwidth_scale": [[229, null]], "arch.covariance.kernel.TukeyHanning.centered": [[230, null]], "arch.covariance.kernel.TukeyHanning.cov": [[231, null]], "arch.covariance.kernel.TukeyHanning.force_int": [[232, null]], "arch.covariance.kernel.TukeyHanning.kernel_const": [[233, null]], "arch.covariance.kernel.TukeyHanning.kernel_weights": [[234, null]], "arch.covariance.kernel.TukeyHanning.name": [[235, null]], "arch.covariance.kernel.TukeyHanning.opt_bandwidth": [[236, null]], "arch.covariance.kernel.TukeyHanning.rate": [[237, null]], "arch.covariance.kernel.TukeyParzen": [[113, null]], "arch.covariance.kernel.TukeyParzen.bandwidth": [[238, null]], "arch.covariance.kernel.TukeyParzen.bandwidth_scale": [[239, null]], "arch.covariance.kernel.TukeyParzen.centered": [[240, null]], "arch.covariance.kernel.TukeyParzen.cov": [[241, null]], "arch.covariance.kernel.TukeyParzen.force_int": [[242, null]], "arch.covariance.kernel.TukeyParzen.kernel_const": [[243, null]], "arch.covariance.kernel.TukeyParzen.kernel_weights": [[244, null]], "arch.covariance.kernel.TukeyParzen.name": [[245, null]], "arch.covariance.kernel.TukeyParzen.opt_bandwidth": [[246, null]], "arch.covariance.kernel.TukeyParzen.rate": [[247, null]], "arch.unitroot.ADF": [[275, null]], "arch.unitroot.ADF.alternative_hypothesis": [[291, null]], "arch.unitroot.ADF.critical_values": [[292, null]], "arch.unitroot.ADF.lags": [[293, null]], "arch.unitroot.ADF.max_lags": [[294, null]], "arch.unitroot.ADF.nobs": [[295, null]], "arch.unitroot.ADF.null_hypothesis": [[296, null]], "arch.unitroot.ADF.pvalue": [[297, null]], "arch.unitroot.ADF.regression": [[298, null]], "arch.unitroot.ADF.stat": [[299, null]], "arch.unitroot.ADF.summary": [[300, null]], "arch.unitroot.ADF.trend": [[301, null]], "arch.unitroot.ADF.valid_trends": [[302, null]], "arch.unitroot.ADF.y": [[303, null]], "arch.unitroot.DFGLS": [[276, null]], "arch.unitroot.DFGLS.alternative_hypothesis": [[304, null]], "arch.unitroot.DFGLS.critical_values": [[305, null]], "arch.unitroot.DFGLS.lags": [[306, null]], "arch.unitroot.DFGLS.max_lags": [[307, null]], "arch.unitroot.DFGLS.nobs": [[308, null]], "arch.unitroot.DFGLS.null_hypothesis": [[309, null]], "arch.unitroot.DFGLS.pvalue": [[310, null]], "arch.unitroot.DFGLS.regression": [[311, null]], "arch.unitroot.DFGLS.stat": [[312, null]], "arch.unitroot.DFGLS.summary": [[313, null]], "arch.unitroot.DFGLS.trend": [[314, null]], "arch.unitroot.DFGLS.valid_trends": [[315, null]], "arch.unitroot.DFGLS.y": [[316, null]], "arch.unitroot.KPSS": [[277, null]], "arch.unitroot.KPSS.alternative_hypothesis": [[317, null]], "arch.unitroot.KPSS.critical_values": [[318, null]], "arch.unitroot.KPSS.lags": [[319, null]], "arch.unitroot.KPSS.nobs": [[320, null]], "arch.unitroot.KPSS.null_hypothesis": [[321, null]], "arch.unitroot.KPSS.pvalue": [[322, null]], "arch.unitroot.KPSS.stat": [[323, null]], "arch.unitroot.KPSS.summary": [[324, null]], "arch.unitroot.KPSS.trend": [[325, null]], "arch.unitroot.KPSS.valid_trends": [[326, null]], "arch.unitroot.KPSS.y": [[327, null]], "arch.unitroot.PhillipsPerron": [[278, null]], "arch.unitroot.PhillipsPerron.alternative_hypothesis": [[328, null]], "arch.unitroot.PhillipsPerron.critical_values": [[329, null]], "arch.unitroot.PhillipsPerron.lags": [[330, null]], "arch.unitroot.PhillipsPerron.nobs": [[331, null]], "arch.unitroot.PhillipsPerron.null_hypothesis": [[332, null]], "arch.unitroot.PhillipsPerron.pvalue": [[333, null]], "arch.unitroot.PhillipsPerron.regression": [[334, null]], "arch.unitroot.PhillipsPerron.stat": [[335, null]], "arch.unitroot.PhillipsPerron.summary": [[336, null]], "arch.unitroot.PhillipsPerron.test_type": [[337, null]], "arch.unitroot.PhillipsPerron.trend": [[338, null]], "arch.unitroot.PhillipsPerron.valid_trends": [[339, null]], "arch.unitroot.PhillipsPerron.y": [[340, null]], "arch.unitroot.VarianceRatio": [[279, null]], "arch.unitroot.VarianceRatio.alternative_hypothesis": [[341, null]], "arch.unitroot.VarianceRatio.critical_values": [[342, null]], "arch.unitroot.VarianceRatio.debiased": [[343, null]], "arch.unitroot.VarianceRatio.lags": [[344, null]], "arch.unitroot.VarianceRatio.nobs": [[345, null]], "arch.unitroot.VarianceRatio.null_hypothesis": [[346, null]], "arch.unitroot.VarianceRatio.overlap": [[347, null]], "arch.unitroot.VarianceRatio.pvalue": [[348, null]], "arch.unitroot.VarianceRatio.robust": [[349, null]], "arch.unitroot.VarianceRatio.stat": [[350, null]], "arch.unitroot.VarianceRatio.summary": [[351, null]], "arch.unitroot.VarianceRatio.trend": [[352, null]], "arch.unitroot.VarianceRatio.valid_trends": [[353, null]], "arch.unitroot.VarianceRatio.vr": [[354, null]], "arch.unitroot.VarianceRatio.y": [[355, null]], "arch.unitroot.ZivotAndrews": [[280, null]], "arch.unitroot.ZivotAndrews.alternative_hypothesis": [[356, null]], "arch.unitroot.ZivotAndrews.critical_values": [[357, null]], "arch.unitroot.ZivotAndrews.lags": [[358, null]], "arch.unitroot.ZivotAndrews.nobs": [[359, null]], "arch.unitroot.ZivotAndrews.null_hypothesis": [[360, null]], "arch.unitroot.ZivotAndrews.pvalue": [[361, null]], "arch.unitroot.ZivotAndrews.stat": [[362, null]], "arch.unitroot.ZivotAndrews.summary": [[363, null]], "arch.unitroot.ZivotAndrews.trend": [[364, null]], "arch.unitroot.ZivotAndrews.valid_trends": [[365, null]], "arch.unitroot.ZivotAndrews.y": [[366, null]], "arch.unitroot.auto_bandwidth": [[281, null]], "arch.unitroot.cointegration.CanonicalCointegratingReg": [[282, null]], "arch.unitroot.cointegration.CanonicalCointegratingReg.fit": [[367, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults": [[283, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth": [[368, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.cov": [[369, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.kernel": [[370, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance": [[371, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.params": [[372, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues": [[373, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.resid": [[374, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance": [[375, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared": [[376, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj": [[377, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors": [[378, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.summary": [[379, null]], "arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues": [[380, null]], "arch.unitroot.cointegration.DynamicOLS": [[284, null]], "arch.unitroot.cointegration.DynamicOLS.fit": [[381, null]], "arch.unitroot.cointegration.DynamicOLSResults": [[285, null]], "arch.unitroot.cointegration.DynamicOLSResults.bandwidth": [[382, null]], "arch.unitroot.cointegration.DynamicOLSResults.cov": [[383, null]], "arch.unitroot.cointegration.DynamicOLSResults.cov_type": [[384, null]], "arch.unitroot.cointegration.DynamicOLSResults.full_cov": [[385, null]], "arch.unitroot.cointegration.DynamicOLSResults.full_params": [[386, null]], "arch.unitroot.cointegration.DynamicOLSResults.kernel": [[387, null]], "arch.unitroot.cointegration.DynamicOLSResults.lags": [[388, null]], "arch.unitroot.cointegration.DynamicOLSResults.leads": [[389, null]], "arch.unitroot.cointegration.DynamicOLSResults.long_run_variance": [[390, null]], "arch.unitroot.cointegration.DynamicOLSResults.params": [[391, null]], "arch.unitroot.cointegration.DynamicOLSResults.pvalues": [[392, null]], "arch.unitroot.cointegration.DynamicOLSResults.resid": [[393, null]], "arch.unitroot.cointegration.DynamicOLSResults.residual_variance": [[394, null]], "arch.unitroot.cointegration.DynamicOLSResults.rsquared": [[395, null]], "arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj": [[396, null]], "arch.unitroot.cointegration.DynamicOLSResults.std_errors": [[397, null]], "arch.unitroot.cointegration.DynamicOLSResults.summary": [[398, null]], "arch.unitroot.cointegration.DynamicOLSResults.tvalues": [[399, null]], "arch.unitroot.cointegration.EngleGrangerTestResults": [[286, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis": [[400, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector": [[401, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.critical_values": [[402, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order": [[403, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.lags": [[404, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.max_lags": [[405, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.name": [[406, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis": [[407, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.plot": [[408, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.pvalue": [[409, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.resid": [[410, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.rho": [[411, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.stat": [[412, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.summary": [[413, null]], "arch.unitroot.cointegration.EngleGrangerTestResults.trend": [[414, null]], "arch.unitroot.cointegration.FullyModifiedOLS": [[287, null]], "arch.unitroot.cointegration.FullyModifiedOLS.fit": [[415, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults": [[288, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis": [[416, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth": [[417, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector": [[418, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values": [[419, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order": [[420, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel": [[421, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.name": [[422, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis": [[423, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot": [[424, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue": [[425, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid": [[426, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat": [[427, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary": [[428, null]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend": [[429, null]], "arch.unitroot.cointegration.engle_granger": [[289, null]], "arch.unitroot.cointegration.phillips_ouliaris": [[290, null]], "arch.univariate.APARCH": [[438, null]], "arch.univariate.APARCH.backcast": [[468, null]], "arch.univariate.APARCH.backcast_transform": [[469, null]], "arch.univariate.APARCH.bounds": [[470, null]], "arch.univariate.APARCH.common_asym": [[471, null]], "arch.univariate.APARCH.compute_variance": [[472, null]], "arch.univariate.APARCH.constraints": [[473, null]], "arch.univariate.APARCH.delta": [[474, null]], "arch.univariate.APARCH.forecast": [[475, null]], "arch.univariate.APARCH.name": [[476, null]], "arch.univariate.APARCH.num_params": [[477, null]], "arch.univariate.APARCH.parameter_names": [[478, null]], "arch.univariate.APARCH.simulate": [[479, null]], "arch.univariate.APARCH.start": [[480, null]], "arch.univariate.APARCH.starting_values": [[481, null]], "arch.univariate.APARCH.stop": [[482, null]], "arch.univariate.APARCH.update": [[483, null]], "arch.univariate.APARCH.updateable": [[484, null]], "arch.univariate.APARCH.variance_bounds": [[485, null]], "arch.univariate.APARCH.volatility_updater": [[486, null]], "arch.univariate.ARCH": [[439, null]], "arch.univariate.ARCH.backcast": [[487, null]], "arch.univariate.ARCH.backcast_transform": [[488, null]], "arch.univariate.ARCH.bounds": [[489, null]], "arch.univariate.ARCH.compute_variance": [[490, null]], "arch.univariate.ARCH.constraints": [[491, null]], "arch.univariate.ARCH.forecast": [[492, null]], "arch.univariate.ARCH.name": [[493, null]], "arch.univariate.ARCH.num_params": [[494, null]], "arch.univariate.ARCH.parameter_names": [[495, null]], "arch.univariate.ARCH.simulate": [[496, null]], "arch.univariate.ARCH.start": [[497, null]], "arch.univariate.ARCH.starting_values": [[498, null]], "arch.univariate.ARCH.stop": [[499, null]], "arch.univariate.ARCH.update": [[500, null]], "arch.univariate.ARCH.updateable": [[501, null]], "arch.univariate.ARCH.variance_bounds": [[502, null]], "arch.univariate.ARCH.volatility_updater": [[503, null]], "arch.univariate.ARCHInMean": [[440, null]], "arch.univariate.ARCHInMean.bounds": [[504, null]], "arch.univariate.ARCHInMean.compute_param_cov": [[505, null]], "arch.univariate.ARCHInMean.constraints": [[506, null]], "arch.univariate.ARCHInMean.distribution": [[507, null]], "arch.univariate.ARCHInMean.fit": [[508, null]], "arch.univariate.ARCHInMean.fix": [[509, null]], "arch.univariate.ARCHInMean.forecast": [[510, null]], "arch.univariate.ARCHInMean.form": [[511, null]], "arch.univariate.ARCHInMean.name": [[512, null]], "arch.univariate.ARCHInMean.num_params": [[513, null]], "arch.univariate.ARCHInMean.parameter_names": [[514, null]], "arch.univariate.ARCHInMean.resids": [[515, null]], "arch.univariate.ARCHInMean.simulate": [[516, null]], "arch.univariate.ARCHInMean.starting_values": [[517, null]], "arch.univariate.ARCHInMean.volatility": [[518, null]], "arch.univariate.ARCHInMean.x": [[519, null]], "arch.univariate.ARCHInMean.y": [[520, null]], "arch.univariate.ARX": [[441, null]], "arch.univariate.ARX.bounds": [[521, null]], "arch.univariate.ARX.compute_param_cov": [[522, null]], "arch.univariate.ARX.constraints": [[523, null]], "arch.univariate.ARX.distribution": [[524, null]], "arch.univariate.ARX.fit": [[525, null]], "arch.univariate.ARX.fix": [[526, null]], "arch.univariate.ARX.forecast": [[527, null]], "arch.univariate.ARX.name": [[528, null]], "arch.univariate.ARX.num_params": [[529, null]], "arch.univariate.ARX.parameter_names": [[530, null]], "arch.univariate.ARX.resids": [[531, null]], "arch.univariate.ARX.simulate": [[532, null]], "arch.univariate.ARX.starting_values": [[533, null]], "arch.univariate.ARX.volatility": [[534, null]], "arch.univariate.ARX.x": [[535, null]], "arch.univariate.ARX.y": [[536, null]], "arch.univariate.ConstantMean": [[442, null]], "arch.univariate.ConstantMean.bounds": [[537, null]], "arch.univariate.ConstantMean.compute_param_cov": [[538, null]], "arch.univariate.ConstantMean.constraints": [[539, null]], "arch.univariate.ConstantMean.distribution": [[540, null]], "arch.univariate.ConstantMean.fit": [[541, null]], "arch.univariate.ConstantMean.fix": [[542, null]], "arch.univariate.ConstantMean.forecast": [[543, null]], "arch.univariate.ConstantMean.name": [[544, null]], "arch.univariate.ConstantMean.num_params": [[545, null]], "arch.univariate.ConstantMean.parameter_names": [[546, null]], "arch.univariate.ConstantMean.resids": [[547, null]], "arch.univariate.ConstantMean.simulate": [[548, null]], "arch.univariate.ConstantMean.starting_values": [[549, null]], "arch.univariate.ConstantMean.volatility": [[550, null]], "arch.univariate.ConstantMean.x": [[551, null]], "arch.univariate.ConstantMean.y": [[552, null]], "arch.univariate.ConstantVariance": [[443, null]], "arch.univariate.ConstantVariance.backcast": [[553, null]], "arch.univariate.ConstantVariance.backcast_transform": [[554, null]], "arch.univariate.ConstantVariance.bounds": [[555, null]], "arch.univariate.ConstantVariance.compute_variance": [[556, null]], "arch.univariate.ConstantVariance.constraints": [[557, null]], "arch.univariate.ConstantVariance.forecast": [[558, null]], "arch.univariate.ConstantVariance.name": [[559, null]], "arch.univariate.ConstantVariance.num_params": [[560, null]], "arch.univariate.ConstantVariance.parameter_names": [[561, null]], "arch.univariate.ConstantVariance.simulate": [[562, null]], "arch.univariate.ConstantVariance.start": [[563, null]], "arch.univariate.ConstantVariance.starting_values": [[564, null]], "arch.univariate.ConstantVariance.stop": [[565, null]], "arch.univariate.ConstantVariance.update": [[566, null]], "arch.univariate.ConstantVariance.updateable": [[567, null]], "arch.univariate.ConstantVariance.variance_bounds": [[568, null]], "arch.univariate.ConstantVariance.volatility_updater": [[569, null]], "arch.univariate.EGARCH": [[444, null]], "arch.univariate.EGARCH.backcast": [[570, null]], "arch.univariate.EGARCH.backcast_transform": [[571, null]], "arch.univariate.EGARCH.bounds": [[572, null]], "arch.univariate.EGARCH.compute_variance": [[573, null]], "arch.univariate.EGARCH.constraints": [[574, null]], "arch.univariate.EGARCH.forecast": [[575, null]], "arch.univariate.EGARCH.name": [[576, null]], "arch.univariate.EGARCH.num_params": [[577, null]], "arch.univariate.EGARCH.parameter_names": [[578, null]], "arch.univariate.EGARCH.simulate": [[579, null]], "arch.univariate.EGARCH.start": [[580, null]], "arch.univariate.EGARCH.starting_values": [[581, null]], "arch.univariate.EGARCH.stop": [[582, null]], "arch.univariate.EGARCH.update": [[583, null]], "arch.univariate.EGARCH.updateable": [[584, null]], "arch.univariate.EGARCH.variance_bounds": [[585, null]], "arch.univariate.EGARCH.volatility_updater": [[586, null]], "arch.univariate.EWMAVariance": [[445, null]], "arch.univariate.EWMAVariance.backcast": [[587, null]], "arch.univariate.EWMAVariance.backcast_transform": [[588, null]], "arch.univariate.EWMAVariance.bounds": [[589, null]], "arch.univariate.EWMAVariance.compute_variance": [[590, null]], "arch.univariate.EWMAVariance.constraints": [[591, null]], "arch.univariate.EWMAVariance.forecast": [[592, null]], "arch.univariate.EWMAVariance.name": [[593, null]], "arch.univariate.EWMAVariance.num_params": [[594, null]], "arch.univariate.EWMAVariance.parameter_names": [[595, null]], "arch.univariate.EWMAVariance.simulate": [[596, null]], "arch.univariate.EWMAVariance.start": [[597, null]], "arch.univariate.EWMAVariance.starting_values": [[598, null]], "arch.univariate.EWMAVariance.stop": [[599, null]], "arch.univariate.EWMAVariance.update": [[600, null]], "arch.univariate.EWMAVariance.updateable": [[601, null]], "arch.univariate.EWMAVariance.variance_bounds": [[602, null]], "arch.univariate.EWMAVariance.volatility_updater": [[603, null]], "arch.univariate.FIGARCH": [[446, null]], "arch.univariate.FIGARCH.backcast": [[604, null]], "arch.univariate.FIGARCH.backcast_transform": [[605, null]], "arch.univariate.FIGARCH.bounds": [[606, null]], "arch.univariate.FIGARCH.compute_variance": [[607, null]], "arch.univariate.FIGARCH.constraints": [[608, null]], "arch.univariate.FIGARCH.forecast": [[609, null]], "arch.univariate.FIGARCH.name": [[610, null]], "arch.univariate.FIGARCH.num_params": [[611, null]], "arch.univariate.FIGARCH.parameter_names": [[612, null]], "arch.univariate.FIGARCH.simulate": [[613, null]], "arch.univariate.FIGARCH.start": [[614, null]], "arch.univariate.FIGARCH.starting_values": [[615, null]], "arch.univariate.FIGARCH.stop": [[616, null]], "arch.univariate.FIGARCH.truncation": [[617, null]], "arch.univariate.FIGARCH.update": [[618, null]], "arch.univariate.FIGARCH.updateable": [[619, null]], "arch.univariate.FIGARCH.variance_bounds": [[620, null]], "arch.univariate.FIGARCH.volatility_updater": [[621, null]], "arch.univariate.FixedVariance": [[447, null]], "arch.univariate.FixedVariance.backcast": [[622, null]], "arch.univariate.FixedVariance.backcast_transform": [[623, null]], "arch.univariate.FixedVariance.bounds": [[624, null]], "arch.univariate.FixedVariance.compute_variance": [[625, null]], "arch.univariate.FixedVariance.constraints": [[626, null]], "arch.univariate.FixedVariance.forecast": [[627, null]], "arch.univariate.FixedVariance.name": [[628, null]], "arch.univariate.FixedVariance.num_params": [[629, null]], "arch.univariate.FixedVariance.parameter_names": [[630, null]], "arch.univariate.FixedVariance.simulate": [[631, null]], "arch.univariate.FixedVariance.start": [[632, null]], "arch.univariate.FixedVariance.starting_values": [[633, null]], "arch.univariate.FixedVariance.stop": [[634, null]], "arch.univariate.FixedVariance.update": [[635, null]], "arch.univariate.FixedVariance.updateable": [[636, null]], "arch.univariate.FixedVariance.variance_bounds": [[637, null]], "arch.univariate.FixedVariance.volatility_updater": [[638, null]], "arch.univariate.GARCH": [[448, null]], "arch.univariate.GARCH.backcast": [[639, null]], "arch.univariate.GARCH.backcast_transform": [[640, null]], "arch.univariate.GARCH.bounds": [[641, null]], "arch.univariate.GARCH.compute_variance": [[642, null]], "arch.univariate.GARCH.constraints": [[643, null]], "arch.univariate.GARCH.forecast": [[644, null]], "arch.univariate.GARCH.name": [[645, null]], "arch.univariate.GARCH.num_params": [[646, null]], "arch.univariate.GARCH.parameter_names": [[647, null]], "arch.univariate.GARCH.simulate": [[648, null]], "arch.univariate.GARCH.start": [[649, null]], "arch.univariate.GARCH.starting_values": [[650, null]], "arch.univariate.GARCH.stop": [[651, null]], "arch.univariate.GARCH.update": [[652, null]], "arch.univariate.GARCH.updateable": [[653, null]], "arch.univariate.GARCH.variance_bounds": [[654, null]], "arch.univariate.GARCH.volatility_updater": [[655, null]], "arch.univariate.GeneralizedError": [[449, null]], "arch.univariate.GeneralizedError.bounds": [[656, null]], "arch.univariate.GeneralizedError.cdf": [[657, null]], "arch.univariate.GeneralizedError.constraints": [[658, null]], "arch.univariate.GeneralizedError.generator": [[659, null]], "arch.univariate.GeneralizedError.loglikelihood": [[660, null]], "arch.univariate.GeneralizedError.moment": [[661, null]], "arch.univariate.GeneralizedError.name": [[662, null]], "arch.univariate.GeneralizedError.parameter_names": [[663, null]], "arch.univariate.GeneralizedError.partial_moment": [[664, null]], "arch.univariate.GeneralizedError.ppf": [[665, null]], "arch.univariate.GeneralizedError.random_state": [[666, null]], "arch.univariate.GeneralizedError.simulate": [[667, null]], "arch.univariate.GeneralizedError.starting_values": [[668, null]], "arch.univariate.HARCH": [[450, null]], "arch.univariate.HARCH.backcast": [[669, null]], "arch.univariate.HARCH.backcast_transform": [[670, null]], "arch.univariate.HARCH.bounds": [[671, null]], "arch.univariate.HARCH.compute_variance": [[672, null]], "arch.univariate.HARCH.constraints": [[673, null]], "arch.univariate.HARCH.forecast": [[674, null]], "arch.univariate.HARCH.name": [[675, null]], "arch.univariate.HARCH.num_params": [[676, null]], "arch.univariate.HARCH.parameter_names": [[677, null]], "arch.univariate.HARCH.simulate": [[678, null]], "arch.univariate.HARCH.start": [[679, null]], "arch.univariate.HARCH.starting_values": [[680, null]], "arch.univariate.HARCH.stop": [[681, null]], "arch.univariate.HARCH.update": [[682, null]], "arch.univariate.HARCH.updateable": [[683, null]], "arch.univariate.HARCH.variance_bounds": [[684, null]], "arch.univariate.HARCH.volatility_updater": [[685, null]], "arch.univariate.HARX": [[451, null]], "arch.univariate.HARX.bounds": [[686, null]], "arch.univariate.HARX.compute_param_cov": [[687, null]], "arch.univariate.HARX.constraints": [[688, null]], "arch.univariate.HARX.distribution": [[689, null]], "arch.univariate.HARX.fit": [[690, null]], "arch.univariate.HARX.fix": [[691, null]], "arch.univariate.HARX.forecast": [[692, null]], "arch.univariate.HARX.name": [[693, null]], "arch.univariate.HARX.num_params": [[694, null]], "arch.univariate.HARX.parameter_names": [[695, null]], "arch.univariate.HARX.resids": [[696, null]], "arch.univariate.HARX.simulate": [[697, null]], "arch.univariate.HARX.starting_values": [[698, null]], "arch.univariate.HARX.volatility": [[699, null]], "arch.univariate.HARX.x": [[700, null]], "arch.univariate.HARX.y": [[701, null]], "arch.univariate.LS": [[452, null]], "arch.univariate.LS.bounds": [[702, null]], "arch.univariate.LS.compute_param_cov": [[703, null]], "arch.univariate.LS.constraints": [[704, null]], "arch.univariate.LS.distribution": [[705, null]], "arch.univariate.LS.fit": [[706, null]], "arch.univariate.LS.fix": [[707, null]], "arch.univariate.LS.forecast": [[708, null]], "arch.univariate.LS.name": [[709, null]], "arch.univariate.LS.num_params": [[710, null]], "arch.univariate.LS.parameter_names": [[711, null]], "arch.univariate.LS.resids": [[712, null]], "arch.univariate.LS.simulate": [[713, null]], "arch.univariate.LS.starting_values": [[714, null]], "arch.univariate.LS.volatility": [[715, null]], "arch.univariate.LS.x": [[716, null]], "arch.univariate.LS.y": [[717, null]], "arch.univariate.MIDASHyperbolic": [[453, null]], "arch.univariate.MIDASHyperbolic.backcast": [[718, null]], "arch.univariate.MIDASHyperbolic.backcast_transform": [[719, null]], "arch.univariate.MIDASHyperbolic.bounds": [[720, null]], "arch.univariate.MIDASHyperbolic.compute_variance": [[721, null]], "arch.univariate.MIDASHyperbolic.constraints": [[722, null]], "arch.univariate.MIDASHyperbolic.forecast": [[723, null]], "arch.univariate.MIDASHyperbolic.name": [[724, null]], "arch.univariate.MIDASHyperbolic.num_params": [[725, null]], "arch.univariate.MIDASHyperbolic.parameter_names": [[726, null]], "arch.univariate.MIDASHyperbolic.simulate": [[727, null]], "arch.univariate.MIDASHyperbolic.start": [[728, null]], "arch.univariate.MIDASHyperbolic.starting_values": [[729, null]], "arch.univariate.MIDASHyperbolic.stop": [[730, null]], "arch.univariate.MIDASHyperbolic.update": [[731, null]], "arch.univariate.MIDASHyperbolic.updateable": [[732, null]], "arch.univariate.MIDASHyperbolic.variance_bounds": [[733, null]], "arch.univariate.MIDASHyperbolic.volatility_updater": [[734, null]], "arch.univariate.Normal": [[454, null]], "arch.univariate.Normal.bounds": [[735, null]], "arch.univariate.Normal.cdf": [[736, null]], "arch.univariate.Normal.constraints": [[737, null]], "arch.univariate.Normal.generator": [[738, null]], "arch.univariate.Normal.loglikelihood": [[739, null]], "arch.univariate.Normal.moment": [[740, null]], "arch.univariate.Normal.name": [[741, null]], "arch.univariate.Normal.parameter_names": [[742, null]], "arch.univariate.Normal.partial_moment": [[743, null]], "arch.univariate.Normal.ppf": [[744, null]], "arch.univariate.Normal.random_state": [[745, null]], "arch.univariate.Normal.simulate": [[746, null]], "arch.univariate.Normal.starting_values": [[747, null]], "arch.univariate.RiskMetrics2006": [[455, null]], "arch.univariate.RiskMetrics2006.backcast": [[748, null]], "arch.univariate.RiskMetrics2006.backcast_transform": [[749, null]], "arch.univariate.RiskMetrics2006.bounds": [[750, null]], "arch.univariate.RiskMetrics2006.compute_variance": [[751, null]], "arch.univariate.RiskMetrics2006.constraints": [[752, null]], "arch.univariate.RiskMetrics2006.forecast": [[753, null]], "arch.univariate.RiskMetrics2006.name": [[754, null]], "arch.univariate.RiskMetrics2006.num_params": [[755, null]], "arch.univariate.RiskMetrics2006.parameter_names": [[756, null]], "arch.univariate.RiskMetrics2006.simulate": [[757, null]], "arch.univariate.RiskMetrics2006.start": [[758, null]], "arch.univariate.RiskMetrics2006.starting_values": [[759, null]], "arch.univariate.RiskMetrics2006.stop": [[760, null]], "arch.univariate.RiskMetrics2006.update": [[761, null]], "arch.univariate.RiskMetrics2006.updateable": [[762, null]], "arch.univariate.RiskMetrics2006.variance_bounds": [[763, null]], "arch.univariate.RiskMetrics2006.volatility_updater": [[764, null]], "arch.univariate.SkewStudent": [[456, null]], "arch.univariate.SkewStudent.bounds": [[765, null]], "arch.univariate.SkewStudent.cdf": [[766, null]], "arch.univariate.SkewStudent.constraints": [[767, null]], "arch.univariate.SkewStudent.generator": [[768, null]], "arch.univariate.SkewStudent.loglikelihood": [[769, null]], "arch.univariate.SkewStudent.moment": [[770, null]], "arch.univariate.SkewStudent.name": [[771, null]], "arch.univariate.SkewStudent.parameter_names": [[772, null]], "arch.univariate.SkewStudent.partial_moment": [[773, null]], "arch.univariate.SkewStudent.ppf": [[774, null]], "arch.univariate.SkewStudent.random_state": [[775, null]], "arch.univariate.SkewStudent.simulate": [[776, null]], "arch.univariate.SkewStudent.starting_values": [[777, null]], "arch.univariate.StudentsT": [[457, null]], "arch.univariate.StudentsT.bounds": [[778, null]], "arch.univariate.StudentsT.cdf": [[779, null]], "arch.univariate.StudentsT.constraints": [[780, null]], "arch.univariate.StudentsT.generator": [[781, null]], "arch.univariate.StudentsT.loglikelihood": [[782, null]], "arch.univariate.StudentsT.moment": [[783, null]], "arch.univariate.StudentsT.name": [[784, null]], "arch.univariate.StudentsT.parameter_names": [[785, null]], "arch.univariate.StudentsT.partial_moment": [[786, null]], "arch.univariate.StudentsT.ppf": [[787, null]], "arch.univariate.StudentsT.random_state": [[788, null]], "arch.univariate.StudentsT.simulate": [[789, null]], "arch.univariate.StudentsT.starting_values": [[790, null]], "arch.univariate.ZeroMean": [[458, null]], "arch.univariate.ZeroMean.bounds": [[791, null]], "arch.univariate.ZeroMean.compute_param_cov": [[792, null]], "arch.univariate.ZeroMean.constraints": [[793, null]], "arch.univariate.ZeroMean.distribution": [[794, null]], "arch.univariate.ZeroMean.fit": [[795, null]], "arch.univariate.ZeroMean.fix": [[796, null]], "arch.univariate.ZeroMean.forecast": [[797, null]], "arch.univariate.ZeroMean.name": [[798, null]], "arch.univariate.ZeroMean.num_params": [[799, null]], "arch.univariate.ZeroMean.parameter_names": [[800, null]], "arch.univariate.ZeroMean.resids": [[801, null]], "arch.univariate.ZeroMean.simulate": [[802, null]], "arch.univariate.ZeroMean.starting_values": [[803, null]], "arch.univariate.ZeroMean.volatility": [[804, null]], "arch.univariate.ZeroMean.x": [[805, null]], "arch.univariate.ZeroMean.y": [[806, null]], "arch.univariate.base.ARCHModel": [[459, null]], "arch.univariate.base.ARCHModel.bounds": [[807, null]], "arch.univariate.base.ARCHModel.compute_param_cov": [[808, null]], "arch.univariate.base.ARCHModel.constraints": [[809, null]], "arch.univariate.base.ARCHModel.distribution": [[810, null]], "arch.univariate.base.ARCHModel.fit": [[811, null]], "arch.univariate.base.ARCHModel.fix": [[812, null]], "arch.univariate.base.ARCHModel.forecast": [[813, null]], "arch.univariate.base.ARCHModel.name": [[814, null]], "arch.univariate.base.ARCHModel.num_params": [[815, null]], "arch.univariate.base.ARCHModel.parameter_names": [[816, null]], "arch.univariate.base.ARCHModel.resids": [[817, null]], "arch.univariate.base.ARCHModel.simulate": [[818, null]], "arch.univariate.base.ARCHModel.starting_values": [[819, null]], "arch.univariate.base.ARCHModel.volatility": [[820, null]], "arch.univariate.base.ARCHModel.y": [[821, null]], "arch.univariate.base.ARCHModelFixedResult": [[460, null]], "arch.univariate.base.ARCHModelFixedResult.aic": [[822, null]], "arch.univariate.base.ARCHModelFixedResult.arch_lm_test": [[823, null]], "arch.univariate.base.ARCHModelFixedResult.bic": [[824, null]], "arch.univariate.base.ARCHModelFixedResult.conditional_volatility": [[825, null]], "arch.univariate.base.ARCHModelFixedResult.forecast": [[826, null]], "arch.univariate.base.ARCHModelFixedResult.hedgehog_plot": [[827, null]], "arch.univariate.base.ARCHModelFixedResult.loglikelihood": [[828, null]], "arch.univariate.base.ARCHModelFixedResult.model": [[829, null]], "arch.univariate.base.ARCHModelFixedResult.nobs": [[830, null]], "arch.univariate.base.ARCHModelFixedResult.num_params": [[831, null]], "arch.univariate.base.ARCHModelFixedResult.params": [[832, null]], "arch.univariate.base.ARCHModelFixedResult.plot": [[833, null]], "arch.univariate.base.ARCHModelFixedResult.resid": [[834, null]], "arch.univariate.base.ARCHModelFixedResult.std_resid": [[835, null]], "arch.univariate.base.ARCHModelFixedResult.summary": [[836, null]], "arch.univariate.base.ARCHModelForecast": [[461, null]], "arch.univariate.base.ARCHModelForecast.mean": [[837, null]], "arch.univariate.base.ARCHModelForecast.residual_variance": [[838, null]], "arch.univariate.base.ARCHModelForecast.simulations": [[839, null]], "arch.univariate.base.ARCHModelForecast.variance": [[840, null]], "arch.univariate.base.ARCHModelForecastSimulation": [[462, null]], "arch.univariate.base.ARCHModelForecastSimulation.index": [[841, null]], "arch.univariate.base.ARCHModelForecastSimulation.residual_variances": [[842, null]], "arch.univariate.base.ARCHModelForecastSimulation.residuals": [[843, null]], "arch.univariate.base.ARCHModelForecastSimulation.values": [[844, null]], "arch.univariate.base.ARCHModelForecastSimulation.variances": [[845, null]], "arch.univariate.base.ARCHModelResult": [[463, null]], "arch.univariate.base.ARCHModelResult.aic": [[846, null]], "arch.univariate.base.ARCHModelResult.arch_lm_test": [[847, null]], "arch.univariate.base.ARCHModelResult.bic": [[848, null]], "arch.univariate.base.ARCHModelResult.conditional_volatility": [[849, null]], "arch.univariate.base.ARCHModelResult.conf_int": [[850, null]], "arch.univariate.base.ARCHModelResult.convergence_flag": [[851, null]], "arch.univariate.base.ARCHModelResult.fit_start": [[852, null]], "arch.univariate.base.ARCHModelResult.fit_stop": [[853, null]], "arch.univariate.base.ARCHModelResult.forecast": [[854, null]], "arch.univariate.base.ARCHModelResult.hedgehog_plot": [[855, null]], "arch.univariate.base.ARCHModelResult.loglikelihood": [[856, null]], "arch.univariate.base.ARCHModelResult.model": [[857, null]], "arch.univariate.base.ARCHModelResult.nobs": [[858, null]], "arch.univariate.base.ARCHModelResult.num_params": [[859, null]], "arch.univariate.base.ARCHModelResult.optimization_result": [[860, null]], "arch.univariate.base.ARCHModelResult.param_cov": [[861, null]], "arch.univariate.base.ARCHModelResult.params": [[862, null]], "arch.univariate.base.ARCHModelResult.plot": [[863, null]], "arch.univariate.base.ARCHModelResult.pvalues": [[864, null]], "arch.univariate.base.ARCHModelResult.resid": [[865, null]], "arch.univariate.base.ARCHModelResult.rsquared": [[866, null]], "arch.univariate.base.ARCHModelResult.rsquared_adj": [[867, null]], "arch.univariate.base.ARCHModelResult.scale": [[868, null]], "arch.univariate.base.ARCHModelResult.std_err": [[869, null]], "arch.univariate.base.ARCHModelResult.std_resid": [[870, null]], "arch.univariate.base.ARCHModelResult.summary": [[871, null]], "arch.univariate.base.ARCHModelResult.tvalues": [[872, null]], "arch.univariate.distribution.Distribution": [[464, null]], "arch.univariate.distribution.Distribution.bounds": [[873, null]], "arch.univariate.distribution.Distribution.cdf": [[874, null]], "arch.univariate.distribution.Distribution.constraints": [[875, null]], "arch.univariate.distribution.Distribution.generator": [[876, null]], "arch.univariate.distribution.Distribution.loglikelihood": [[877, null]], "arch.univariate.distribution.Distribution.moment": [[878, null]], "arch.univariate.distribution.Distribution.name": [[879, null]], "arch.univariate.distribution.Distribution.parameter_names": [[880, null]], "arch.univariate.distribution.Distribution.partial_moment": [[881, null]], "arch.univariate.distribution.Distribution.ppf": [[882, null]], "arch.univariate.distribution.Distribution.random_state": [[883, null]], "arch.univariate.distribution.Distribution.simulate": [[884, null]], "arch.univariate.distribution.Distribution.starting_values": [[885, null]], "arch.univariate.recursions.VolatilityUpdater": [[465, null]], "arch.univariate.recursions.VolatilityUpdater.initialize_update": [[886, null]], "arch.univariate.volatility.VarianceForecast": [[466, null]], "arch.univariate.volatility.VarianceForecast.forecast_paths": [[887, null]], "arch.univariate.volatility.VarianceForecast.forecasts": [[888, null]], "arch.univariate.volatility.VarianceForecast.shocks": [[889, null]], "arch.univariate.volatility.VolatilityProcess": [[467, null]], "arch.univariate.volatility.VolatilityProcess.backcast": [[890, null]], "arch.univariate.volatility.VolatilityProcess.backcast_transform": [[891, null]], "arch.univariate.volatility.VolatilityProcess.bounds": [[892, null]], "arch.univariate.volatility.VolatilityProcess.compute_variance": [[893, null]], "arch.univariate.volatility.VolatilityProcess.constraints": [[894, null]], "arch.univariate.volatility.VolatilityProcess.forecast": [[895, null]], "arch.univariate.volatility.VolatilityProcess.name": [[896, null]], "arch.univariate.volatility.VolatilityProcess.num_params": [[897, null]], "arch.univariate.volatility.VolatilityProcess.parameter_names": [[898, null]], "arch.univariate.volatility.VolatilityProcess.simulate": [[899, null]], "arch.univariate.volatility.VolatilityProcess.start": [[900, null]], "arch.univariate.volatility.VolatilityProcess.starting_values": [[901, null]], "arch.univariate.volatility.VolatilityProcess.stop": [[902, null]], "arch.univariate.volatility.VolatilityProcess.update": [[903, null]], "arch.univariate.volatility.VolatilityProcess.updateable": [[904, null]], "arch.univariate.volatility.VolatilityProcess.variance_bounds": [[905, null]], "arch.univariate.volatility.VolatilityProcess.volatility_updater": [[906, null]], "forecast uses origin alignment": [[911, "forecast-uses-origin-alignment"]], "x input array sizes": [[911, "x-input-array-sizes"]]}, "docurls": ["api.html", "bootstrap/background.html", "bootstrap/bootstrap.html", "bootstrap/bootstrap_examples.html", "bootstrap/confidence-intervals.html", "bootstrap/generated/arch.bootstrap.CircularBlockBootstrap.html", "bootstrap/generated/arch.bootstrap.IIDBootstrap.html", "bootstrap/generated/arch.bootstrap.IndependentSamplesBootstrap.html", "bootstrap/generated/arch.bootstrap.MovingBlockBootstrap.html", "bootstrap/generated/arch.bootstrap.StationaryBootstrap.html", "bootstrap/generated/arch.bootstrap.optimal_block_length.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.CircularBlockBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.IIDBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.IndependentSamplesBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.MovingBlockBootstrap.var.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.apply.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.bootstrap.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.clone.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.conf_int.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.cov.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.generator.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.get_state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.index.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.random_state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.reset.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.seed.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.set_state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.state.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.update_indices.html", "bootstrap/generated/generated/arch.bootstrap.StationaryBootstrap.var.html", "bootstrap/iid-bootstraps.html", "bootstrap/low-level-interface.html", "bootstrap/parameter-covariance-estimation.html", "bootstrap/semiparametric-parametric-bootstrap.html", "bootstrap/timeseries-bootstraps.html", "changes.html", "changes/1.0.html", "changes/2.0.html", "changes/3.0.html", "changes/4.0.html", "changes/5.0.html", "changes/6.0.html", "changes/7.0.html", "covariance/covariance.html", "covariance/generated/arch.covariance.kernel.Andrews.html", "covariance/generated/arch.covariance.kernel.Bartlett.html", "covariance/generated/arch.covariance.kernel.CovarianceEstimate.html", "covariance/generated/arch.covariance.kernel.CovarianceEstimator.html", "covariance/generated/arch.covariance.kernel.Gallant.html", "covariance/generated/arch.covariance.kernel.NeweyWest.html", "covariance/generated/arch.covariance.kernel.Parzen.html", "covariance/generated/arch.covariance.kernel.ParzenCauchy.html", "covariance/generated/arch.covariance.kernel.ParzenGeometric.html", "covariance/generated/arch.covariance.kernel.ParzenRiesz.html", "covariance/generated/arch.covariance.kernel.QuadraticSpectral.html", "covariance/generated/arch.covariance.kernel.TukeyHamming.html", "covariance/generated/arch.covariance.kernel.TukeyHanning.html", "covariance/generated/arch.covariance.kernel.TukeyParzen.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.centered.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.cov.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.name.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Andrews.rate.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.centered.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.cov.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.name.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Bartlett.rate.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.long_run.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.one_sided_strict.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimate.short_run.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.centered.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.cov.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.force_int.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.name.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.CovarianceEstimator.rate.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.centered.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.cov.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.name.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Gallant.rate.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.centered.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.cov.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.force_int.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.name.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.NeweyWest.rate.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.centered.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.cov.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.force_int.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.name.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.Parzen.rate.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.centered.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.cov.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.force_int.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.name.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenCauchy.rate.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.centered.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.cov.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.force_int.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.name.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenGeometric.rate.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.centered.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.cov.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.force_int.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.name.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.ParzenRiesz.rate.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.centered.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.cov.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.force_int.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.name.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.QuadraticSpectral.rate.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.centered.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.cov.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.force_int.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.name.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHamming.rate.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.centered.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.cov.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.force_int.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.name.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyHanning.rate.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.bandwidth_scale.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.centered.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.cov.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.force_int.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_const.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.kernel_weights.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.name.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.opt_bandwidth.html", "covariance/generated/generated/arch.covariance.kernel.TukeyParzen.rate.html", "index.html", "multiple-comparison/background.html", "multiple-comparison/generated/arch.bootstrap.MCS.html", "multiple-comparison/generated/arch.bootstrap.SPA.html", "multiple-comparison/generated/arch.bootstrap.StepM.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.compute.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.excluded.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.included.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.pvalues.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.reset.html", "multiple-comparison/generated/generated/arch.bootstrap.MCS.seed.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.better_models.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.compute.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.critical_values.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.pvalues.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.reset.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.seed.html", "multiple-comparison/generated/generated/arch.bootstrap.SPA.subset.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.compute.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.reset.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.seed.html", "multiple-comparison/generated/generated/arch.bootstrap.StepM.superior_models.html", "multiple-comparison/multiple-comparison-reference.html", "multiple-comparison/multiple-comparison_examples.html", "multiple-comparison/multiple-comparisons.html", "types.html", "unitroot/cointegration.html", "unitroot/generated/arch.unitroot.ADF.html", "unitroot/generated/arch.unitroot.DFGLS.html", "unitroot/generated/arch.unitroot.KPSS.html", "unitroot/generated/arch.unitroot.PhillipsPerron.html", "unitroot/generated/arch.unitroot.VarianceRatio.html", "unitroot/generated/arch.unitroot.ZivotAndrews.html", "unitroot/generated/arch.unitroot.auto_bandwidth.html", "unitroot/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.html", "unitroot/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.html", "unitroot/generated/arch.unitroot.cointegration.DynamicOLS.html", "unitroot/generated/arch.unitroot.cointegration.DynamicOLSResults.html", "unitroot/generated/arch.unitroot.cointegration.EngleGrangerTestResults.html", "unitroot/generated/arch.unitroot.cointegration.FullyModifiedOLS.html", "unitroot/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.html", "unitroot/generated/arch.unitroot.cointegration.engle_granger.html", "unitroot/generated/arch.unitroot.cointegration.phillips_ouliaris.html", "unitroot/generated/generated/arch.unitroot.ADF.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ADF.critical_values.html", "unitroot/generated/generated/arch.unitroot.ADF.lags.html", "unitroot/generated/generated/arch.unitroot.ADF.max_lags.html", "unitroot/generated/generated/arch.unitroot.ADF.nobs.html", "unitroot/generated/generated/arch.unitroot.ADF.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ADF.pvalue.html", "unitroot/generated/generated/arch.unitroot.ADF.regression.html", "unitroot/generated/generated/arch.unitroot.ADF.stat.html", "unitroot/generated/generated/arch.unitroot.ADF.summary.html", "unitroot/generated/generated/arch.unitroot.ADF.trend.html", "unitroot/generated/generated/arch.unitroot.ADF.valid_trends.html", "unitroot/generated/generated/arch.unitroot.ADF.y.html", "unitroot/generated/generated/arch.unitroot.DFGLS.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.DFGLS.critical_values.html", "unitroot/generated/generated/arch.unitroot.DFGLS.lags.html", "unitroot/generated/generated/arch.unitroot.DFGLS.max_lags.html", "unitroot/generated/generated/arch.unitroot.DFGLS.nobs.html", "unitroot/generated/generated/arch.unitroot.DFGLS.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.DFGLS.pvalue.html", "unitroot/generated/generated/arch.unitroot.DFGLS.regression.html", "unitroot/generated/generated/arch.unitroot.DFGLS.stat.html", "unitroot/generated/generated/arch.unitroot.DFGLS.summary.html", "unitroot/generated/generated/arch.unitroot.DFGLS.trend.html", "unitroot/generated/generated/arch.unitroot.DFGLS.valid_trends.html", "unitroot/generated/generated/arch.unitroot.DFGLS.y.html", "unitroot/generated/generated/arch.unitroot.KPSS.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.KPSS.critical_values.html", "unitroot/generated/generated/arch.unitroot.KPSS.lags.html", "unitroot/generated/generated/arch.unitroot.KPSS.nobs.html", "unitroot/generated/generated/arch.unitroot.KPSS.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.KPSS.pvalue.html", "unitroot/generated/generated/arch.unitroot.KPSS.stat.html", "unitroot/generated/generated/arch.unitroot.KPSS.summary.html", "unitroot/generated/generated/arch.unitroot.KPSS.trend.html", "unitroot/generated/generated/arch.unitroot.KPSS.valid_trends.html", "unitroot/generated/generated/arch.unitroot.KPSS.y.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.critical_values.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.lags.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.nobs.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.pvalue.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.regression.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.stat.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.summary.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.test_type.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.trend.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.valid_trends.html", "unitroot/generated/generated/arch.unitroot.PhillipsPerron.y.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.critical_values.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.debiased.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.lags.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.nobs.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.overlap.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.pvalue.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.robust.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.stat.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.summary.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.trend.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.valid_trends.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.vr.html", "unitroot/generated/generated/arch.unitroot.VarianceRatio.y.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.critical_values.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.lags.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.nobs.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.pvalue.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.stat.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.summary.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.trend.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.valid_trends.html", "unitroot/generated/generated/arch.unitroot.ZivotAndrews.y.html", "unitroot/generated/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.fit.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.cov.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.kernel.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.params.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLS.fit.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.bandwidth.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov_type.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_cov.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_params.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.kernel.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.lags.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.leads.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.long_run_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.params.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.pvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.residual_variance.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.std_errors.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.tvalues.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.critical_values.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.lags.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.max_lags.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.name.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.plot.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.pvalue.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.rho.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.stat.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.trend.html", "unitroot/generated/generated/arch.unitroot.cointegration.FullyModifiedOLS.fit.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.name.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary.html", "unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend.html", "unitroot/introduction.html", "unitroot/tests.html", "unitroot/unitroot.html", "unitroot/unitroot_cointegration_examples.html", "unitroot/unitroot_examples.html", "univariate/background.html", "univariate/distribution.html", "univariate/forecasting.html", "univariate/generated/arch.univariate.APARCH.html", "univariate/generated/arch.univariate.ARCH.html", "univariate/generated/arch.univariate.ARCHInMean.html", "univariate/generated/arch.univariate.ARX.html", "univariate/generated/arch.univariate.ConstantMean.html", "univariate/generated/arch.univariate.ConstantVariance.html", "univariate/generated/arch.univariate.EGARCH.html", "univariate/generated/arch.univariate.EWMAVariance.html", "univariate/generated/arch.univariate.FIGARCH.html", "univariate/generated/arch.univariate.FixedVariance.html", "univariate/generated/arch.univariate.GARCH.html", "univariate/generated/arch.univariate.GeneralizedError.html", "univariate/generated/arch.univariate.HARCH.html", "univariate/generated/arch.univariate.HARX.html", "univariate/generated/arch.univariate.LS.html", "univariate/generated/arch.univariate.MIDASHyperbolic.html", "univariate/generated/arch.univariate.Normal.html", "univariate/generated/arch.univariate.RiskMetrics2006.html", "univariate/generated/arch.univariate.SkewStudent.html", "univariate/generated/arch.univariate.StudentsT.html", "univariate/generated/arch.univariate.ZeroMean.html", "univariate/generated/arch.univariate.base.ARCHModel.html", "univariate/generated/arch.univariate.base.ARCHModelFixedResult.html", "univariate/generated/arch.univariate.base.ARCHModelForecast.html", "univariate/generated/arch.univariate.base.ARCHModelForecastSimulation.html", "univariate/generated/arch.univariate.base.ARCHModelResult.html", "univariate/generated/arch.univariate.distribution.Distribution.html", "univariate/generated/arch.univariate.recursions.VolatilityUpdater.html", "univariate/generated/arch.univariate.volatility.VarianceForecast.html", "univariate/generated/arch.univariate.volatility.VolatilityProcess.html", "univariate/generated/generated/arch.univariate.APARCH.backcast.html", "univariate/generated/generated/arch.univariate.APARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.APARCH.bounds.html", "univariate/generated/generated/arch.univariate.APARCH.common_asym.html", "univariate/generated/generated/arch.univariate.APARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.APARCH.constraints.html", "univariate/generated/generated/arch.univariate.APARCH.delta.html", "univariate/generated/generated/arch.univariate.APARCH.forecast.html", "univariate/generated/generated/arch.univariate.APARCH.name.html", "univariate/generated/generated/arch.univariate.APARCH.num_params.html", "univariate/generated/generated/arch.univariate.APARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.APARCH.simulate.html", "univariate/generated/generated/arch.univariate.APARCH.start.html", "univariate/generated/generated/arch.univariate.APARCH.starting_values.html", "univariate/generated/generated/arch.univariate.APARCH.stop.html", "univariate/generated/generated/arch.univariate.APARCH.update.html", "univariate/generated/generated/arch.univariate.APARCH.updateable.html", "univariate/generated/generated/arch.univariate.APARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.APARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.ARCH.backcast.html", "univariate/generated/generated/arch.univariate.ARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.ARCH.bounds.html", "univariate/generated/generated/arch.univariate.ARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.ARCH.constraints.html", "univariate/generated/generated/arch.univariate.ARCH.forecast.html", "univariate/generated/generated/arch.univariate.ARCH.name.html", "univariate/generated/generated/arch.univariate.ARCH.num_params.html", "univariate/generated/generated/arch.univariate.ARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.ARCH.simulate.html", "univariate/generated/generated/arch.univariate.ARCH.start.html", "univariate/generated/generated/arch.univariate.ARCH.starting_values.html", "univariate/generated/generated/arch.univariate.ARCH.stop.html", "univariate/generated/generated/arch.univariate.ARCH.update.html", "univariate/generated/generated/arch.univariate.ARCH.updateable.html", "univariate/generated/generated/arch.univariate.ARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.ARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.ARCHInMean.bounds.html", "univariate/generated/generated/arch.univariate.ARCHInMean.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ARCHInMean.constraints.html", "univariate/generated/generated/arch.univariate.ARCHInMean.distribution.html", "univariate/generated/generated/arch.univariate.ARCHInMean.fit.html", "univariate/generated/generated/arch.univariate.ARCHInMean.fix.html", "univariate/generated/generated/arch.univariate.ARCHInMean.forecast.html", "univariate/generated/generated/arch.univariate.ARCHInMean.form.html", "univariate/generated/generated/arch.univariate.ARCHInMean.name.html", "univariate/generated/generated/arch.univariate.ARCHInMean.num_params.html", "univariate/generated/generated/arch.univariate.ARCHInMean.parameter_names.html", "univariate/generated/generated/arch.univariate.ARCHInMean.resids.html", "univariate/generated/generated/arch.univariate.ARCHInMean.simulate.html", "univariate/generated/generated/arch.univariate.ARCHInMean.starting_values.html", "univariate/generated/generated/arch.univariate.ARCHInMean.volatility.html", "univariate/generated/generated/arch.univariate.ARCHInMean.x.html", "univariate/generated/generated/arch.univariate.ARCHInMean.y.html", "univariate/generated/generated/arch.univariate.ARX.bounds.html", "univariate/generated/generated/arch.univariate.ARX.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ARX.constraints.html", "univariate/generated/generated/arch.univariate.ARX.distribution.html", "univariate/generated/generated/arch.univariate.ARX.fit.html", "univariate/generated/generated/arch.univariate.ARX.fix.html", "univariate/generated/generated/arch.univariate.ARX.forecast.html", "univariate/generated/generated/arch.univariate.ARX.name.html", "univariate/generated/generated/arch.univariate.ARX.num_params.html", "univariate/generated/generated/arch.univariate.ARX.parameter_names.html", "univariate/generated/generated/arch.univariate.ARX.resids.html", "univariate/generated/generated/arch.univariate.ARX.simulate.html", "univariate/generated/generated/arch.univariate.ARX.starting_values.html", "univariate/generated/generated/arch.univariate.ARX.volatility.html", "univariate/generated/generated/arch.univariate.ARX.x.html", "univariate/generated/generated/arch.univariate.ARX.y.html", "univariate/generated/generated/arch.univariate.ConstantMean.bounds.html", "univariate/generated/generated/arch.univariate.ConstantMean.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ConstantMean.constraints.html", "univariate/generated/generated/arch.univariate.ConstantMean.distribution.html", "univariate/generated/generated/arch.univariate.ConstantMean.fit.html", "univariate/generated/generated/arch.univariate.ConstantMean.fix.html", "univariate/generated/generated/arch.univariate.ConstantMean.forecast.html", "univariate/generated/generated/arch.univariate.ConstantMean.name.html", "univariate/generated/generated/arch.univariate.ConstantMean.num_params.html", "univariate/generated/generated/arch.univariate.ConstantMean.parameter_names.html", "univariate/generated/generated/arch.univariate.ConstantMean.resids.html", "univariate/generated/generated/arch.univariate.ConstantMean.simulate.html", "univariate/generated/generated/arch.univariate.ConstantMean.starting_values.html", "univariate/generated/generated/arch.univariate.ConstantMean.volatility.html", "univariate/generated/generated/arch.univariate.ConstantMean.x.html", "univariate/generated/generated/arch.univariate.ConstantMean.y.html", "univariate/generated/generated/arch.univariate.ConstantVariance.backcast.html", "univariate/generated/generated/arch.univariate.ConstantVariance.backcast_transform.html", "univariate/generated/generated/arch.univariate.ConstantVariance.bounds.html", "univariate/generated/generated/arch.univariate.ConstantVariance.compute_variance.html", "univariate/generated/generated/arch.univariate.ConstantVariance.constraints.html", "univariate/generated/generated/arch.univariate.ConstantVariance.forecast.html", "univariate/generated/generated/arch.univariate.ConstantVariance.name.html", "univariate/generated/generated/arch.univariate.ConstantVariance.num_params.html", "univariate/generated/generated/arch.univariate.ConstantVariance.parameter_names.html", "univariate/generated/generated/arch.univariate.ConstantVariance.simulate.html", "univariate/generated/generated/arch.univariate.ConstantVariance.start.html", "univariate/generated/generated/arch.univariate.ConstantVariance.starting_values.html", "univariate/generated/generated/arch.univariate.ConstantVariance.stop.html", "univariate/generated/generated/arch.univariate.ConstantVariance.update.html", "univariate/generated/generated/arch.univariate.ConstantVariance.updateable.html", "univariate/generated/generated/arch.univariate.ConstantVariance.variance_bounds.html", "univariate/generated/generated/arch.univariate.ConstantVariance.volatility_updater.html", "univariate/generated/generated/arch.univariate.EGARCH.backcast.html", "univariate/generated/generated/arch.univariate.EGARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.EGARCH.bounds.html", "univariate/generated/generated/arch.univariate.EGARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.EGARCH.constraints.html", "univariate/generated/generated/arch.univariate.EGARCH.forecast.html", "univariate/generated/generated/arch.univariate.EGARCH.name.html", "univariate/generated/generated/arch.univariate.EGARCH.num_params.html", "univariate/generated/generated/arch.univariate.EGARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.EGARCH.simulate.html", "univariate/generated/generated/arch.univariate.EGARCH.start.html", "univariate/generated/generated/arch.univariate.EGARCH.starting_values.html", "univariate/generated/generated/arch.univariate.EGARCH.stop.html", "univariate/generated/generated/arch.univariate.EGARCH.update.html", "univariate/generated/generated/arch.univariate.EGARCH.updateable.html", "univariate/generated/generated/arch.univariate.EGARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.EGARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.EWMAVariance.backcast.html", "univariate/generated/generated/arch.univariate.EWMAVariance.backcast_transform.html", "univariate/generated/generated/arch.univariate.EWMAVariance.bounds.html", "univariate/generated/generated/arch.univariate.EWMAVariance.compute_variance.html", "univariate/generated/generated/arch.univariate.EWMAVariance.constraints.html", "univariate/generated/generated/arch.univariate.EWMAVariance.forecast.html", "univariate/generated/generated/arch.univariate.EWMAVariance.name.html", "univariate/generated/generated/arch.univariate.EWMAVariance.num_params.html", "univariate/generated/generated/arch.univariate.EWMAVariance.parameter_names.html", "univariate/generated/generated/arch.univariate.EWMAVariance.simulate.html", "univariate/generated/generated/arch.univariate.EWMAVariance.start.html", "univariate/generated/generated/arch.univariate.EWMAVariance.starting_values.html", "univariate/generated/generated/arch.univariate.EWMAVariance.stop.html", "univariate/generated/generated/arch.univariate.EWMAVariance.update.html", "univariate/generated/generated/arch.univariate.EWMAVariance.updateable.html", "univariate/generated/generated/arch.univariate.EWMAVariance.variance_bounds.html", "univariate/generated/generated/arch.univariate.EWMAVariance.volatility_updater.html", "univariate/generated/generated/arch.univariate.FIGARCH.backcast.html", "univariate/generated/generated/arch.univariate.FIGARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.FIGARCH.bounds.html", "univariate/generated/generated/arch.univariate.FIGARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.FIGARCH.constraints.html", "univariate/generated/generated/arch.univariate.FIGARCH.forecast.html", "univariate/generated/generated/arch.univariate.FIGARCH.name.html", "univariate/generated/generated/arch.univariate.FIGARCH.num_params.html", "univariate/generated/generated/arch.univariate.FIGARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.FIGARCH.simulate.html", "univariate/generated/generated/arch.univariate.FIGARCH.start.html", "univariate/generated/generated/arch.univariate.FIGARCH.starting_values.html", "univariate/generated/generated/arch.univariate.FIGARCH.stop.html", "univariate/generated/generated/arch.univariate.FIGARCH.truncation.html", "univariate/generated/generated/arch.univariate.FIGARCH.update.html", "univariate/generated/generated/arch.univariate.FIGARCH.updateable.html", "univariate/generated/generated/arch.univariate.FIGARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.FIGARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.FixedVariance.backcast.html", "univariate/generated/generated/arch.univariate.FixedVariance.backcast_transform.html", "univariate/generated/generated/arch.univariate.FixedVariance.bounds.html", "univariate/generated/generated/arch.univariate.FixedVariance.compute_variance.html", "univariate/generated/generated/arch.univariate.FixedVariance.constraints.html", "univariate/generated/generated/arch.univariate.FixedVariance.forecast.html", "univariate/generated/generated/arch.univariate.FixedVariance.name.html", "univariate/generated/generated/arch.univariate.FixedVariance.num_params.html", "univariate/generated/generated/arch.univariate.FixedVariance.parameter_names.html", "univariate/generated/generated/arch.univariate.FixedVariance.simulate.html", "univariate/generated/generated/arch.univariate.FixedVariance.start.html", "univariate/generated/generated/arch.univariate.FixedVariance.starting_values.html", "univariate/generated/generated/arch.univariate.FixedVariance.stop.html", "univariate/generated/generated/arch.univariate.FixedVariance.update.html", "univariate/generated/generated/arch.univariate.FixedVariance.updateable.html", "univariate/generated/generated/arch.univariate.FixedVariance.variance_bounds.html", "univariate/generated/generated/arch.univariate.FixedVariance.volatility_updater.html", "univariate/generated/generated/arch.univariate.GARCH.backcast.html", "univariate/generated/generated/arch.univariate.GARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.GARCH.bounds.html", "univariate/generated/generated/arch.univariate.GARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.GARCH.constraints.html", "univariate/generated/generated/arch.univariate.GARCH.forecast.html", "univariate/generated/generated/arch.univariate.GARCH.name.html", "univariate/generated/generated/arch.univariate.GARCH.num_params.html", "univariate/generated/generated/arch.univariate.GARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.GARCH.simulate.html", "univariate/generated/generated/arch.univariate.GARCH.start.html", "univariate/generated/generated/arch.univariate.GARCH.starting_values.html", "univariate/generated/generated/arch.univariate.GARCH.stop.html", "univariate/generated/generated/arch.univariate.GARCH.update.html", "univariate/generated/generated/arch.univariate.GARCH.updateable.html", "univariate/generated/generated/arch.univariate.GARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.GARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.GeneralizedError.bounds.html", "univariate/generated/generated/arch.univariate.GeneralizedError.cdf.html", "univariate/generated/generated/arch.univariate.GeneralizedError.constraints.html", "univariate/generated/generated/arch.univariate.GeneralizedError.generator.html", "univariate/generated/generated/arch.univariate.GeneralizedError.loglikelihood.html", "univariate/generated/generated/arch.univariate.GeneralizedError.moment.html", "univariate/generated/generated/arch.univariate.GeneralizedError.name.html", "univariate/generated/generated/arch.univariate.GeneralizedError.parameter_names.html", "univariate/generated/generated/arch.univariate.GeneralizedError.partial_moment.html", "univariate/generated/generated/arch.univariate.GeneralizedError.ppf.html", "univariate/generated/generated/arch.univariate.GeneralizedError.random_state.html", "univariate/generated/generated/arch.univariate.GeneralizedError.simulate.html", "univariate/generated/generated/arch.univariate.GeneralizedError.starting_values.html", "univariate/generated/generated/arch.univariate.HARCH.backcast.html", "univariate/generated/generated/arch.univariate.HARCH.backcast_transform.html", "univariate/generated/generated/arch.univariate.HARCH.bounds.html", "univariate/generated/generated/arch.univariate.HARCH.compute_variance.html", "univariate/generated/generated/arch.univariate.HARCH.constraints.html", "univariate/generated/generated/arch.univariate.HARCH.forecast.html", "univariate/generated/generated/arch.univariate.HARCH.name.html", "univariate/generated/generated/arch.univariate.HARCH.num_params.html", "univariate/generated/generated/arch.univariate.HARCH.parameter_names.html", "univariate/generated/generated/arch.univariate.HARCH.simulate.html", "univariate/generated/generated/arch.univariate.HARCH.start.html", "univariate/generated/generated/arch.univariate.HARCH.starting_values.html", "univariate/generated/generated/arch.univariate.HARCH.stop.html", "univariate/generated/generated/arch.univariate.HARCH.update.html", "univariate/generated/generated/arch.univariate.HARCH.updateable.html", "univariate/generated/generated/arch.univariate.HARCH.variance_bounds.html", "univariate/generated/generated/arch.univariate.HARCH.volatility_updater.html", "univariate/generated/generated/arch.univariate.HARX.bounds.html", "univariate/generated/generated/arch.univariate.HARX.compute_param_cov.html", "univariate/generated/generated/arch.univariate.HARX.constraints.html", "univariate/generated/generated/arch.univariate.HARX.distribution.html", "univariate/generated/generated/arch.univariate.HARX.fit.html", "univariate/generated/generated/arch.univariate.HARX.fix.html", "univariate/generated/generated/arch.univariate.HARX.forecast.html", "univariate/generated/generated/arch.univariate.HARX.name.html", "univariate/generated/generated/arch.univariate.HARX.num_params.html", "univariate/generated/generated/arch.univariate.HARX.parameter_names.html", "univariate/generated/generated/arch.univariate.HARX.resids.html", "univariate/generated/generated/arch.univariate.HARX.simulate.html", "univariate/generated/generated/arch.univariate.HARX.starting_values.html", "univariate/generated/generated/arch.univariate.HARX.volatility.html", "univariate/generated/generated/arch.univariate.HARX.x.html", "univariate/generated/generated/arch.univariate.HARX.y.html", "univariate/generated/generated/arch.univariate.LS.bounds.html", "univariate/generated/generated/arch.univariate.LS.compute_param_cov.html", "univariate/generated/generated/arch.univariate.LS.constraints.html", "univariate/generated/generated/arch.univariate.LS.distribution.html", "univariate/generated/generated/arch.univariate.LS.fit.html", "univariate/generated/generated/arch.univariate.LS.fix.html", "univariate/generated/generated/arch.univariate.LS.forecast.html", "univariate/generated/generated/arch.univariate.LS.name.html", "univariate/generated/generated/arch.univariate.LS.num_params.html", "univariate/generated/generated/arch.univariate.LS.parameter_names.html", "univariate/generated/generated/arch.univariate.LS.resids.html", "univariate/generated/generated/arch.univariate.LS.simulate.html", "univariate/generated/generated/arch.univariate.LS.starting_values.html", "univariate/generated/generated/arch.univariate.LS.volatility.html", "univariate/generated/generated/arch.univariate.LS.x.html", "univariate/generated/generated/arch.univariate.LS.y.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast_transform.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.bounds.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.compute_variance.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.constraints.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.forecast.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.name.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.num_params.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.parameter_names.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.simulate.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.start.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.starting_values.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.stop.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.update.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.updateable.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.variance_bounds.html", "univariate/generated/generated/arch.univariate.MIDASHyperbolic.volatility_updater.html", "univariate/generated/generated/arch.univariate.Normal.bounds.html", "univariate/generated/generated/arch.univariate.Normal.cdf.html", "univariate/generated/generated/arch.univariate.Normal.constraints.html", "univariate/generated/generated/arch.univariate.Normal.generator.html", "univariate/generated/generated/arch.univariate.Normal.loglikelihood.html", "univariate/generated/generated/arch.univariate.Normal.moment.html", "univariate/generated/generated/arch.univariate.Normal.name.html", "univariate/generated/generated/arch.univariate.Normal.parameter_names.html", "univariate/generated/generated/arch.univariate.Normal.partial_moment.html", "univariate/generated/generated/arch.univariate.Normal.ppf.html", "univariate/generated/generated/arch.univariate.Normal.random_state.html", "univariate/generated/generated/arch.univariate.Normal.simulate.html", "univariate/generated/generated/arch.univariate.Normal.starting_values.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast_transform.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.bounds.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.compute_variance.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.constraints.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.forecast.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.name.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.num_params.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.parameter_names.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.simulate.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.start.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.starting_values.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.stop.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.update.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.updateable.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.variance_bounds.html", "univariate/generated/generated/arch.univariate.RiskMetrics2006.volatility_updater.html", "univariate/generated/generated/arch.univariate.SkewStudent.bounds.html", "univariate/generated/generated/arch.univariate.SkewStudent.cdf.html", "univariate/generated/generated/arch.univariate.SkewStudent.constraints.html", "univariate/generated/generated/arch.univariate.SkewStudent.generator.html", "univariate/generated/generated/arch.univariate.SkewStudent.loglikelihood.html", "univariate/generated/generated/arch.univariate.SkewStudent.moment.html", "univariate/generated/generated/arch.univariate.SkewStudent.name.html", "univariate/generated/generated/arch.univariate.SkewStudent.parameter_names.html", "univariate/generated/generated/arch.univariate.SkewStudent.partial_moment.html", "univariate/generated/generated/arch.univariate.SkewStudent.ppf.html", "univariate/generated/generated/arch.univariate.SkewStudent.random_state.html", "univariate/generated/generated/arch.univariate.SkewStudent.simulate.html", "univariate/generated/generated/arch.univariate.SkewStudent.starting_values.html", "univariate/generated/generated/arch.univariate.StudentsT.bounds.html", "univariate/generated/generated/arch.univariate.StudentsT.cdf.html", "univariate/generated/generated/arch.univariate.StudentsT.constraints.html", "univariate/generated/generated/arch.univariate.StudentsT.generator.html", "univariate/generated/generated/arch.univariate.StudentsT.loglikelihood.html", "univariate/generated/generated/arch.univariate.StudentsT.moment.html", "univariate/generated/generated/arch.univariate.StudentsT.name.html", "univariate/generated/generated/arch.univariate.StudentsT.parameter_names.html", "univariate/generated/generated/arch.univariate.StudentsT.partial_moment.html", "univariate/generated/generated/arch.univariate.StudentsT.ppf.html", "univariate/generated/generated/arch.univariate.StudentsT.random_state.html", "univariate/generated/generated/arch.univariate.StudentsT.simulate.html", "univariate/generated/generated/arch.univariate.StudentsT.starting_values.html", "univariate/generated/generated/arch.univariate.ZeroMean.bounds.html", "univariate/generated/generated/arch.univariate.ZeroMean.compute_param_cov.html", "univariate/generated/generated/arch.univariate.ZeroMean.constraints.html", "univariate/generated/generated/arch.univariate.ZeroMean.distribution.html", "univariate/generated/generated/arch.univariate.ZeroMean.fit.html", "univariate/generated/generated/arch.univariate.ZeroMean.fix.html", "univariate/generated/generated/arch.univariate.ZeroMean.forecast.html", "univariate/generated/generated/arch.univariate.ZeroMean.name.html", "univariate/generated/generated/arch.univariate.ZeroMean.num_params.html", "univariate/generated/generated/arch.univariate.ZeroMean.parameter_names.html", "univariate/generated/generated/arch.univariate.ZeroMean.resids.html", "univariate/generated/generated/arch.univariate.ZeroMean.simulate.html", "univariate/generated/generated/arch.univariate.ZeroMean.starting_values.html", "univariate/generated/generated/arch.univariate.ZeroMean.volatility.html", "univariate/generated/generated/arch.univariate.ZeroMean.x.html", "univariate/generated/generated/arch.univariate.ZeroMean.y.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.bounds.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.compute_param_cov.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.constraints.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.distribution.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.fit.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.fix.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.forecast.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.name.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.num_params.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.parameter_names.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.resids.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.simulate.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.starting_values.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.volatility.html", "univariate/generated/generated/arch.univariate.base.ARCHModel.y.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.aic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.arch_lm_test.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.bic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.conditional_volatility.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.forecast.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.hedgehog_plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.loglikelihood.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.model.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.nobs.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.num_params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.std_resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.summary.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.mean.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.residual_variance.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.simulations.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecast.variance.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.index.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residual_variances.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residuals.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.values.html", "univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.variances.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.aic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.arch_lm_test.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.bic.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.conditional_volatility.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.conf_int.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.convergence_flag.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_start.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_stop.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.forecast.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.hedgehog_plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.loglikelihood.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.model.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.nobs.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.num_params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.optimization_result.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.param_cov.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.params.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.plot.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.pvalues.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared_adj.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.scale.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_err.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_resid.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.summary.html", "univariate/generated/generated/arch.univariate.base.ARCHModelResult.tvalues.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.bounds.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.cdf.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.constraints.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.generator.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.loglikelihood.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.moment.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.name.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.parameter_names.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.partial_moment.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.ppf.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.random_state.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.simulate.html", "univariate/generated/generated/arch.univariate.distribution.Distribution.starting_values.html", "univariate/generated/generated/arch.univariate.recursions.VolatilityUpdater.initialize_update.html", "univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecast_paths.html", "univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecasts.html", "univariate/generated/generated/arch.univariate.volatility.VarianceForecast.shocks.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast_transform.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.bounds.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.compute_variance.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.constraints.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.forecast.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.name.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.num_params.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.parameter_names.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.simulate.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.start.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.starting_values.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.stop.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.update.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.updateable.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.variance_bounds.html", "univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.volatility_updater.html", "univariate/introduction.html", "univariate/mean.html", "univariate/results.html", "univariate/univariate.html", "univariate/univariate_forecasting_with_exogenous_variables.html", "univariate/univariate_using_fixed_variance.html", "univariate/univariate_volatility_forecasting.html", "univariate/univariate_volatility_modeling.html", "univariate/univariate_volatility_scenarios.html", "univariate/utility.html", "univariate/volatility.html"], "envversion": {"nbsphinx": 4, "sphinx": 64, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinx.ext.todo": 2, "sphinx.ext.viewcode": 1}, "indexentries": {"arch.bootstrap": [[2, "module-arch.bootstrap", false]], "module": [[2, "module-arch.bootstrap", false]]}, "objects": {"arch": [[2, 0, 0, 1, "bootstrap", ""], [431, 0, 0, 1, "unitroot", ""]], "arch.bootstrap": [[5, 1, 1, 0, "CircularBlockBootstrap", "Bootstrap using blocks of the same length with end-to-start wrap around"], [6, 1, 1, 0, "IIDBootstrap", "Bootstrap using uniform resampling"], [7, 1, 1, 0, "IndependentSamplesBootstrap", "Bootstrap where each input is independently resampled"], [250, 1, 1, 0, "MCS", "Model Confidence Set (MCS) of Hansen, Lunde and Nason."], [8, 1, 1, 0, "MovingBlockBootstrap", "Bootstrap using blocks of the same length without wrap around"], [251, 1, 1, 0, "SPA", "Test of Superior Predictive Ability (SPA) of White and Hansen."], [9, 1, 1, 0, "StationaryBootstrap", "Politis and Romano (1994) bootstrap with expon distributed block sizes"], [252, 1, 1, 0, "StepM", "StepM multiple comparison procedure of Romano and Wolf."], [270, 0, 0, 1, "multiple_comparison", ""], [10, 6, 1, 0, "optimal_block_length", "Estimate optimal window length for time-series bootstraps"]], "arch.bootstrap.CircularBlockBootstrap": [[11, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [12, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [13, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [14, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [15, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [5, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [16, 5, 1, 0, "generator", "Set or get the instance PRNG"], [17, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [18, 5, 1, 0, "index", "The current index of the bootstrap"], [5, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [5, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [19, 5, 1, 0, "random_state", "Set or get the instance random state"], [20, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [21, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [22, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [23, 5, 1, 0, "state", "Set or get the generator's state"], [24, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [25, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.CircularBlockBootstrap.__init__": [[5, 2, 2, 0, "args", "Positional arguments to bootstrap"], [5, 2, 2, 0, "block_size", "Size of block to use"], [5, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [5, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [5, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.CircularBlockBootstrap.apply": [[11, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [11, 2, 2, 0, "func", "Function the computes parameter values."], [11, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.CircularBlockBootstrap.bootstrap": [[12, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.CircularBlockBootstrap.clone": [[13, 2, 2, 0, "args", "Positional arguments to bootstrap"], [13, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [13, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.CircularBlockBootstrap.conf_int": [[14, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [14, 2, 2, 0, "func", "Function the computes parameter values."], [14, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [14, 2, 2, 0, "reps", "Number of bootstrap replications"], [14, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [14, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [14, 2, 2, 0, "size", "Coverage of confidence interval"], [14, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [14, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [14, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.CircularBlockBootstrap.cov": [[15, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [15, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [15, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [15, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.CircularBlockBootstrap.reset": [[20, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.CircularBlockBootstrap.seed": [[21, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.CircularBlockBootstrap.set_state": [[22, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.CircularBlockBootstrap.var": [[25, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [25, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [25, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [25, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap": [[26, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [27, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [28, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [29, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [30, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [6, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [31, 5, 1, 0, "generator", "Set or get the instance PRNG"], [32, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [33, 5, 1, 0, "index", "The current index of the bootstrap"], [6, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [6, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [34, 5, 1, 0, "random_state", "Set or get the instance random state"], [35, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [36, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [37, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [38, 5, 1, 0, "state", "Set or get the generator's state"], [39, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [40, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.IIDBootstrap.__init__": [[6, 2, 2, 0, "args", "Positional arguments to bootstrap"], [6, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [6, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [6, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.IIDBootstrap.apply": [[26, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [26, 2, 2, 0, "func", "Function the computes parameter values."], [26, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap.bootstrap": [[27, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap.clone": [[28, 2, 2, 0, "args", "Positional arguments to bootstrap"], [28, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [28, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.IIDBootstrap.conf_int": [[29, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [29, 2, 2, 0, "func", "Function the computes parameter values."], [29, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [29, 2, 2, 0, "reps", "Number of bootstrap replications"], [29, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [29, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [29, 2, 2, 0, "size", "Coverage of confidence interval"], [29, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [29, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [29, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.IIDBootstrap.cov": [[30, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [30, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [30, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [30, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IIDBootstrap.reset": [[35, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.IIDBootstrap.seed": [[36, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.IIDBootstrap.set_state": [[37, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.IIDBootstrap.var": [[40, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [40, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [40, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [40, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap": [[41, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [42, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [43, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [44, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [45, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [7, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [46, 5, 1, 0, "generator", "Set or get the instance PRNG"], [47, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [48, 5, 1, 0, "index", "Returns the current index of the bootstrap"], [7, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [7, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [49, 5, 1, 0, "random_state", "Set or get the instance random state"], [50, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [51, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [52, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [53, 5, 1, 0, "state", "Set or get the generator's state"], [54, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [55, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.IndependentSamplesBootstrap.__init__": [[7, 2, 2, 0, "args", "Positional arguments to bootstrap"], [7, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [7, 2, 2, "arch.bootstrap.IndependentSamplesBootstrap", "random_state", "Bootstrap where each input is independently resampled"], [7, 2, 2, "arch.bootstrap.IndependentSamplesBootstrap", "seed", "Bootstrap where each input is independently resampled"]], "arch.bootstrap.IndependentSamplesBootstrap.apply": [[41, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [41, 2, 2, 0, "func", "Function the computes parameter values."], [41, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap.bootstrap": [[42, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap.clone": [[43, 2, 2, 0, "args", "Positional arguments to bootstrap"], [43, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [43, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.IndependentSamplesBootstrap.conf_int": [[44, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [44, 2, 2, 0, "func", "Function the computes parameter values."], [44, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [44, 2, 2, 0, "reps", "Number of bootstrap replications"], [44, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [44, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [44, 2, 2, 0, "size", "Coverage of confidence interval"], [44, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [44, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [44, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.IndependentSamplesBootstrap.cov": [[45, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [45, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [45, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [45, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.IndependentSamplesBootstrap.reset": [[50, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.IndependentSamplesBootstrap.seed": [[51, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.IndependentSamplesBootstrap.set_state": [[52, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.IndependentSamplesBootstrap.var": [[55, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [55, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [55, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [55, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MCS": [[253, 3, 1, 0, "compute", "Compute the set of models in the confidence set."], [254, 5, 1, 0, "excluded", "List of model indices that are excluded from the MCS"], [255, 5, 1, 0, "included", "List of model indices that are included in the MCS"], [256, 5, 1, 0, "pvalues", "Model p-values for inclusion in the MCS"], [257, 3, 1, 0, "reset", "Reset the bootstrap to it's initial state."], [258, 3, 1, 0, "seed", "Seed the bootstrap's random number generator"]], "arch.bootstrap.MCS.__init__": [[250, 2, 2, 0, "block_size", "Length of window to use in the bootstrap."], [250, 2, 2, 0, "bootstrap", "Bootstrap to use."], [250, 2, 2, 0, "losses", "T by k array containing losses from a set of models"], [250, 2, 2, 0, "method", "MCS test and elimination implementation method, either 'max' or 'R'. Default is 'R'."], [250, 2, 2, 0, "reps", "Number of bootstrap replications to uses."], [250, 2, 2, 0, "seed", "Seed value to use when creating the bootstrap used in the comparison. If an integer or None, the NumPy default_rng is used with the seed value."], [250, 2, 2, 0, "size", "Value in (0,1) to use as the test size when implementing the mcs."]], "arch.bootstrap.MCS.seed": [[258, 2, 2, 0, "value", "Integer to use as the seed"]], "arch.bootstrap.MovingBlockBootstrap": [[56, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [57, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [58, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [59, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [60, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [8, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [61, 5, 1, 0, "generator", "Set or get the instance PRNG"], [62, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [63, 5, 1, 0, "index", "The current index of the bootstrap"], [8, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [8, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [64, 5, 1, 0, "random_state", "Set or get the instance random state"], [65, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [66, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [67, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [68, 5, 1, 0, "state", "Set or get the generator's state"], [69, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [70, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.MovingBlockBootstrap.__init__": [[8, 2, 2, 0, "args", "Positional arguments to bootstrap"], [8, 2, 2, 0, "block_size", "Size of block to use"], [8, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [8, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [8, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.MovingBlockBootstrap.apply": [[56, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [56, 2, 2, 0, "func", "Function the computes parameter values."], [56, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MovingBlockBootstrap.bootstrap": [[57, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MovingBlockBootstrap.clone": [[58, 2, 2, 0, "args", "Positional arguments to bootstrap"], [58, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [58, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.MovingBlockBootstrap.conf_int": [[59, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [59, 2, 2, 0, "func", "Function the computes parameter values."], [59, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [59, 2, 2, 0, "reps", "Number of bootstrap replications"], [59, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [59, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [59, 2, 2, 0, "size", "Coverage of confidence interval"], [59, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [59, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [59, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.MovingBlockBootstrap.cov": [[60, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [60, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [60, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [60, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.MovingBlockBootstrap.reset": [[65, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.MovingBlockBootstrap.seed": [[66, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.MovingBlockBootstrap.set_state": [[67, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.MovingBlockBootstrap.var": [[70, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [70, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [70, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [70, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.SPA": [[259, 3, 1, 0, "better_models", "Returns set of models rejected as being equal-or-worse than the benchmark"], [260, 3, 1, 0, "compute", "Compute the bootstrap pvalue."], [261, 3, 1, 0, "critical_values", "Returns data-dependent critical values"], [262, 5, 1, 0, "pvalues", "P-values corresponding to the lower, consistent and upper p-values."], [263, 3, 1, 0, "reset", "Reset the bootstrap to its initial state."], [264, 3, 1, 0, "seed", "Seed the bootstrap's random number generator"], [265, 3, 1, 0, "subset", "Sets a list of active models to run the SPA on.  Primarily for internal use."]], "arch.bootstrap.SPA.__init__": [[251, 2, 2, 0, "benchmark", "T element array of benchmark model losses"], [251, 2, 2, 0, "block_size", "Length of window to use in the bootstrap."], [251, 2, 2, 0, "bootstrap", "Bootstrap to use."], [251, 2, 2, 0, "models", "T  by k element array of alternative model losses"], [251, 2, 2, 0, "nested", "Flag indicating to use a nested bootstrap to compute variances for studentization."], [251, 2, 2, 0, "reps", "Number of bootstrap replications to uses."], [251, 2, 2, 0, "seed", "Seed value to use when creating the bootstrap used in the comparison. If an integer or None, the NumPy default_rng is used with the seed value."], [251, 2, 2, 0, "studentize", "Flag indicating to studentize loss differentials."]], "arch.bootstrap.SPA.better_models": [[259, 2, 2, 0, "pvalue", "P-value in (0,1) to use when computing superior models"], [259, 2, 2, 0, "pvalue_type", "String in 'lower', 'consistent', or 'upper' indicating which critical value to use."]], "arch.bootstrap.SPA.critical_values": [[261, 2, 2, 0, "pvalue", "P-value in (0,1) to use when computing the critical values."]], "arch.bootstrap.SPA.seed": [[264, 2, 2, 0, "value", "Integer to use as the seed"]], "arch.bootstrap.SPA.subset": [[265, 2, 2, 0, "selector", "Boolean array indicating which columns to use when computing the p-values."]], "arch.bootstrap.StationaryBootstrap": [[71, 3, 1, 0, "apply", "Applies a function to bootstrap replicated data"], [72, 3, 1, 0, "bootstrap", "Iterator for use when bootstrapping"], [73, 3, 1, 0, "clone", "Clones the bootstrap using different data with a fresh prng."], [74, 3, 1, 0, "conf_int", "Function the computes parameter values.  See Notes for requirements"], [75, 3, 1, 0, "cov", "Compute parameter covariance using bootstrap"], [9, 4, 1, 0, "data", "Two-element tuple with the pos_data in the first position and kw_data in the second (pos_data, kw_data)"], [76, 5, 1, 0, "generator", "Set or get the instance PRNG"], [77, 3, 1, 0, "get_state", "Gets the state of the bootstrap's random number generator"], [78, 5, 1, 0, "index", "The current index of the bootstrap"], [9, 4, 1, 0, "kw_data", "Dictionary containing the keyword arguments"], [9, 4, 1, 0, "pos_data", "Tuple containing the positional arguments (in the order entered)"], [79, 5, 1, 0, "random_state", "Set or get the instance random state"], [80, 3, 1, 0, "reset", "Resets the bootstrap to either its initial state or the last seed."], [81, 3, 1, 0, "seed", "Reseeds the bootstrap's random number generator"], [82, 3, 1, 0, "set_state", "Sets the state of the bootstrap's random number generator"], [83, 5, 1, 0, "state", "Set or get the generator's state"], [84, 3, 1, 0, "update_indices", "Update indices for the next iteration of the bootstrap.  This must be overridden when creating new bootstraps."], [85, 3, 1, 0, "var", "Compute parameter variance using bootstrap"]], "arch.bootstrap.StationaryBootstrap.__init__": [[9, 2, 2, 0, "args", "Positional arguments to bootstrap"], [9, 2, 2, 0, "block_size", "Average size of block to use"], [9, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [9, 2, 2, 0, "random_state", "RandomState to use to ensure reproducable results."], [9, 2, 2, 0, "seed", "Seed to use to ensure reproducable results."]], "arch.bootstrap.StationaryBootstrap.apply": [[71, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func."], [71, 2, 2, 0, "func", "Function the computes parameter values."], [71, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StationaryBootstrap.bootstrap": [[72, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StationaryBootstrap.clone": [[73, 2, 2, 0, "args", "Positional arguments to bootstrap"], [73, 2, 2, 0, "kwargs", "Keyword arguments to bootstrap"], [73, 2, 2, 0, "seed", "The seed value to pass to the closed generator"]], "arch.bootstrap.StationaryBootstrap.conf_int": [[74, 2, 2, 0, "extra_kwargs", "Extra keyword arguments to use when calling func and std_err_func, when appropriate"], [74, 2, 2, 0, "func", "Function the computes parameter values."], [74, 2, 2, 0, "method", "One of 'basic', 'percentile', 'studentized', 'norm' (identical to 'var', 'cov'), 'bc' (identical to 'debiased', 'bias-corrected'), or 'bca'"], [74, 2, 2, 0, "reps", "Number of bootstrap replications"], [74, 2, 2, 0, "reuse", "Flag indicating whether to reuse previously computed bootstrap results."], [74, 2, 2, 0, "sampling", "Type of sampling to use: 'nonparametric', 'semi-parametric' (or 'semi') or 'parametric'."], [74, 2, 2, 0, "size", "Coverage of confidence interval"], [74, 2, 2, 0, "std_err_func", "Function to use when standardizing estimated parameters when using the studentized bootstrap."], [74, 2, 2, 0, "studentize_reps", "Number of bootstraps to use in the inner bootstrap when using the studentized bootstrap."], [74, 2, 2, 0, "tail", "One of 'two', 'upper' or 'lower'."]], "arch.bootstrap.StationaryBootstrap.cov": [[75, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [75, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [75, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [75, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StationaryBootstrap.reset": [[80, 2, 2, 0, "use_seed", "Flag indicating whether to use the last seed if provided."]], "arch.bootstrap.StationaryBootstrap.seed": [[81, 2, 2, 0, "value", "Value to use as the seed."]], "arch.bootstrap.StationaryBootstrap.set_state": [[82, 2, 2, 0, "state", "Dictionary or tuple containing the state."]], "arch.bootstrap.StationaryBootstrap.var": [[85, 2, 2, 0, "extra_kwargs", "Dictionary of extra keyword arguments to pass to func"], [85, 2, 2, 0, "func", "Callable function that returns the statistic of interest as a 1-d array"], [85, 2, 2, 0, "recenter", "Whether to center the bootstrap variance estimator on the average of the bootstrap samples (True) or to center on the original sample estimate (False)."], [85, 2, 2, 0, "reps", "Number of bootstrap replications"]], "arch.bootstrap.StepM": [[266, 3, 1, 0, "compute", "Compute the set of superior models."], [267, 3, 1, 0, "reset", "Reset the bootstrap to it's initial state."], [268, 3, 1, 0, "seed", "Seed the bootstrap's random number generator"], [269, 5, 1, 0, "superior_models", "List of the indices or column names of the superior models"]], "arch.bootstrap.StepM.__init__": [[252, 2, 2, 0, "benchmark", "T element array of benchmark model losses"], [252, 2, 2, 0, "block_size", "Length of window to use in the bootstrap."], [252, 2, 2, 0, "bootstrap", "Bootstrap to use."], [252, 2, 2, 0, "models", "T by k element array of alternative model losses"], [252, 2, 2, 0, "nested", "Flag indicating to use a nested bootstrap to compute variances for studentization."], [252, 2, 2, 0, "reps", "Number of bootstrap replications to uses."], [252, 2, 2, 0, "seed", "Seed value to use when creating the bootstrap used in the comparison. If an integer or None, the NumPy default_rng is used with the seed value."], [252, 2, 2, 0, "size", "Value in (0,1) to use as the test size when implementing the comparison."], [252, 2, 2, 0, "studentize", "Flag indicating to studentize loss differentials."]], "arch.bootstrap.StepM.seed": [[268, 2, 2, 0, "value", "Integer to use as the seed"]], "arch.bootstrap.optimal_block_length": [[10, 2, 2, 0, "x", "A one-dimensional or two-dimensional array-like."]], "arch.covariance": [[99, 0, 0, 1, "kernel", ""]], "arch.covariance.kernel": [[100, 1, 1, 0, "Andrews", "Alternative name of the QuadraticSpectral covariance estimator."], [101, 1, 1, 0, "Bartlett", "Bartlett's (Newey-West) kernel covariance estimation."], [102, 1, 1, 0, "CovarianceEstimate", "Covariance estimate using a long-run covariance estimator"], [103, 1, 1, 0, "CovarianceEstimator", "%(kernel_name)s kernel covariance estimation."], [104, 1, 1, 0, "Gallant", "Alternative name for Parzen covariance estimator."], [105, 1, 1, 0, "NeweyWest", "Alternative name for Bartlett covariance estimator."], [106, 1, 1, 0, "Parzen", "Parzen's kernel covariance estimation."], [107, 1, 1, 0, "ParzenCauchy", "Parzen's Cauchy kernel covariance estimation."], [108, 1, 1, 0, "ParzenGeometric", "Parzen's Geometric kernel covariance estimation."], [109, 1, 1, 0, "ParzenRiesz", "Parzen-Reisz kernel covariance estimation."], [110, 1, 1, 0, "QuadraticSpectral", "Quadratic-Spectral (Andrews') kernel covariance estimation."], [111, 1, 1, 0, "TukeyHamming", "Tukey-Hamming kernel covariance estimation."], [112, 1, 1, 0, "TukeyHanning", "Tukey-Hanning kernel covariance estimation."], [113, 1, 1, 0, "TukeyParzen", "Tukey-Parzen kernel covariance estimation."]], "arch.covariance.kernel.Andrews": [[114, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [115, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [116, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [117, 5, 1, 0, "cov", "The estimated covariances."], [118, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [119, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [120, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [121, 5, 1, 0, "name", "The covariance estimator's name."], [122, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [123, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Andrews.__init__": [[100, 2, 2, "arch.covariance.kernel.Andrews", "bandwidth", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "center", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "df_adjust", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "force_int", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "weights", "Alternative name of the QuadraticSpectral covariance estimator."], [100, 2, 2, "arch.covariance.kernel.Andrews", "x", "Alternative name of the QuadraticSpectral covariance estimator."]], "arch.covariance.kernel.Bartlett": [[124, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [125, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [126, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [127, 5, 1, 0, "cov", "The estimated covariances."], [128, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [129, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [130, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [131, 5, 1, 0, "name", "The covariance estimator's name."], [132, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [133, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Bartlett.__init__": [[101, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [101, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [101, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [101, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [101, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [101, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.CovarianceEstimate": [[134, 5, 1, 0, "long_run", "The long-run covariance estimate."], [135, 5, 1, 0, "one_sided", "The one-sided covariance estimate."], [136, 5, 1, 0, "one_sided_strict", "The one-sided strict covariance estimate."], [137, 5, 1, 0, "short_run", "The short-run covariance estimate."]], "arch.covariance.kernel.CovarianceEstimate.__init__": [[102, 2, 2, 0, "columns", "Column labels to use if covariance estimates are returned as DataFrames."], [102, 2, 2, 0, "long_run", "The long-run covariance estimate."], [102, 2, 2, 0, "one_sided", "The one-sided-strict covariance estimate."], [102, 2, 2, 0, "one_sided_strict", "The one-sided strict covariance estimate."], [102, 2, 2, 0, "short_run", "The short-run covariance estimate."]], "arch.covariance.kernel.CovarianceEstimator": [[138, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [139, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [140, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [141, 5, 1, 0, "cov", "The estimated covariances."], [142, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [143, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [144, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [145, 5, 1, 0, "name", "The covariance estimator's name."], [146, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [147, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.CovarianceEstimator.__init__": [[103, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [103, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [103, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [103, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [103, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [103, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.Gallant": [[148, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [149, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [150, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [151, 5, 1, 0, "cov", "The estimated covariances."], [152, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [153, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [154, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [155, 5, 1, 0, "name", "The covariance estimator's name."], [156, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [157, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Gallant.__init__": [[104, 2, 2, "arch.covariance.kernel.Gallant", "bandwidth", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "center", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "df_adjust", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "force_int", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "weights", "Alternative name for Parzen covariance estimator."], [104, 2, 2, "arch.covariance.kernel.Gallant", "x", "Alternative name for Parzen covariance estimator."]], "arch.covariance.kernel.NeweyWest": [[158, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [159, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [160, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [161, 5, 1, 0, "cov", "The estimated covariances."], [162, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [163, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [164, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [165, 5, 1, 0, "name", "The covariance estimator's name."], [166, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [167, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.NeweyWest.__init__": [[105, 2, 2, "arch.covariance.kernel.NeweyWest", "bandwidth", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "center", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "df_adjust", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "force_int", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "weights", "Alternative name for Bartlett covariance estimator."], [105, 2, 2, "arch.covariance.kernel.NeweyWest", "x", "Alternative name for Bartlett covariance estimator."]], "arch.covariance.kernel.Parzen": [[168, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [169, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [170, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [171, 5, 1, 0, "cov", "The estimated covariances."], [172, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [173, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [174, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [175, 5, 1, 0, "name", "The covariance estimator's name."], [176, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [177, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.Parzen.__init__": [[106, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [106, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [106, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [106, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [106, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [106, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.ParzenCauchy": [[178, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [179, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [180, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [181, 5, 1, 0, "cov", "The estimated covariances."], [182, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [183, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [184, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [185, 5, 1, 0, "name", "The covariance estimator's name."], [186, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [187, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.ParzenCauchy.__init__": [[107, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [107, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [107, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [107, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [107, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [107, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.ParzenGeometric": [[188, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [189, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [190, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [191, 5, 1, 0, "cov", "The estimated covariances."], [192, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [193, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [194, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [195, 5, 1, 0, "name", "The covariance estimator's name."], [196, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [197, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.ParzenGeometric.__init__": [[108, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [108, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [108, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [108, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [108, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [108, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.ParzenRiesz": [[198, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [199, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [200, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [201, 5, 1, 0, "cov", "The estimated covariances."], [202, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [203, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [204, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [205, 5, 1, 0, "name", "The covariance estimator's name."], [206, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [207, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.ParzenRiesz.__init__": [[109, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [109, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [109, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [109, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [109, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [109, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.QuadraticSpectral": [[208, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [209, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [210, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [211, 5, 1, 0, "cov", "The estimated covariances."], [212, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [213, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [214, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [215, 5, 1, 0, "name", "The covariance estimator's name."], [216, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [217, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.QuadraticSpectral.__init__": [[110, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [110, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [110, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [110, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [110, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [110, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.TukeyHamming": [[218, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [219, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [220, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [221, 5, 1, 0, "cov", "The estimated covariances."], [222, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [223, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [224, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [225, 5, 1, 0, "name", "The covariance estimator's name."], [226, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [227, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.TukeyHamming.__init__": [[111, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [111, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [111, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [111, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [111, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [111, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.TukeyHanning": [[228, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [229, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [230, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [231, 5, 1, 0, "cov", "The estimated covariances."], [232, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [233, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [234, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [235, 5, 1, 0, "name", "The covariance estimator's name."], [236, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [237, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.TukeyHanning.__init__": [[112, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [112, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [112, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [112, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [112, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [112, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.covariance.kernel.TukeyParzen": [[238, 5, 1, 0, "bandwidth", "The bandwidth used by the covariance estimator."], [239, 5, 1, 0, "bandwidth_scale", "The power used in optimal bandwidth calculation."], [240, 5, 1, 0, "centered", "Flag indicating whether the data are centered (demeaned)."], [241, 5, 1, 0, "cov", "The estimated covariances."], [242, 5, 1, 0, "force_int", "Flag indicating whether the bandwidth is restricted to be an integer."], [243, 5, 1, 0, "kernel_const", "The constant used in optimal bandwidth calculation."], [244, 5, 1, 0, "kernel_weights", "Weights used in covariance calculation."], [245, 5, 1, 0, "name", "The covariance estimator's name."], [246, 5, 1, 0, "opt_bandwidth", "Estimate optimal bandwidth."], [247, 5, 1, 0, "rate", "The optimal rate used in bandwidth selection."]], "arch.covariance.kernel.TukeyParzen.__init__": [[113, 2, 2, 0, "bandwidth", "The kernel's bandwidth."], [113, 2, 2, 0, "center", "A flag indicating whether x should be demeaned before estimating the covariance."], [113, 2, 2, 0, "df_adjust", "Degrees of freedom to remove when adjusting the covariance."], [113, 2, 2, 0, "force_int", "Force bandwidth to be an integer."], [113, 2, 2, 0, "weights", "An array of weights used to combine when estimating optimal bandwidth. If not provided, a vector of 1s is used."], [113, 2, 2, 0, "x", "The data to use in covariance estimation."]], "arch.typing": [[273, 4, 1, 0, "AnyArray", "alias of ndarray[Any, Any]"], [273, 4, 1, 0, "AnyPandas", "alias of Series | DataFrame"], [273, 4, 1, 0, "ArrayLike", "alias of ndarray | DataFrame | Series"], [273, 4, 1, 0, "ArrayLike1D", "alias of ndarray | Series"], [273, 4, 1, 0, "ArrayLike2D", "alias of ndarray | DataFrame"], [273, 4, 1, 0, "BoolArray", "alias of ndarray[Any, dtype[bool]]"], [273, 4, 1, 0, "BootstrapIndexT", "alias of ndarray[Any, dtype[longlong]] | tuple[ndarray[Any, dtype[longlong]], ...] | tuple[list[ndarray[Any, dtype[longlong]]], dict[str, ndarray[Any, dtype[longlong]]]]"], [273, 4, 1, 0, "DateLike", "alias of str | datetime | datetime64 | Timestamp"], [273, 4, 1, 0, "Float64Array", "alias of ndarray[Any, dtype[float64]]"], [273, 1, 1, 0, "FloatOrArray", "alias of TypeVar('FloatOrArray', float, ~numpy.ndarray)"], [273, 4, 1, 0, "ForecastingMethod", "alias of Literal['analytic', 'simulation', 'bootstrap']"], [273, 4, 1, 0, "Int32Array", "alias of ndarray[Any, dtype[int32]]"], [273, 4, 1, 0, "Int64Array", "alias of ndarray[Any, dtype[longlong]]"], [273, 4, 1, 0, "IntArray", "alias of ndarray[Any, dtype[int64]]"], [273, 4, 1, 0, "Label", "alias of Hashable | None"], [273, 4, 1, 0, "NDArray", "alias of ndarray"], [273, 1, 1, 0, "NDArrayOrFrame", "alias of TypeVar('NDArrayOrFrame', ~numpy.ndarray[~typing.Any, ~numpy.dtype[~numpy.float64]], ~pandas.core.frame.DataFrame)"], [273, 4, 1, 0, "RNGType", "alias of Callable[[int | tuple[int, ...]], ndarray[Any, dtype[float64]]]"], [273, 4, 1, 0, "RandomStateState", "alias of tuple[str, ndarray[Any, dtype[uint32]], int, int, float]"], [273, 4, 1, 0, "Uint32Array", "alias of ndarray[Any, dtype[uint32]]"], [273, 4, 1, 0, "UnitRootTrend", "alias of Literal['n', 'c', 'ct', 'ctt']"]], "arch.unitroot": [[275, 1, 1, 0, "ADF", "Augmented Dickey-Fuller unit root test"], [276, 1, 1, 0, "DFGLS", "Elliott, Rothenberg and Stock's (ers) GLS detrended Dickey-Fuller"], [277, 1, 1, 0, "KPSS", "Kwiatkowski, Phillips, Schmidt and Shin (KPSS) stationarity test"], [278, 1, 1, 0, "PhillipsPerron", "Phillips-Perron unit root test"], [279, 1, 1, 0, "VarianceRatio", "Variance Ratio test of a random walk."], [280, 1, 1, 0, "ZivotAndrews", "Zivot-Andrews structural-break unit-root test"], [281, 6, 1, 0, "auto_bandwidth", "Automatic bandwidth selection of Andrews (1991) and Newey & West (1994)."], [274, 0, 0, 1, "cointegration", ""]], "arch.unitroot.ADF": [[291, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [292, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [293, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [294, 5, 1, 0, "max_lags", "Sets or gets the maximum lags used when automatically selecting lag length"], [295, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [296, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [297, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [298, 5, 1, 0, "regression", "Returns the OLS regression results from the ADF model estimated"], [299, 5, 1, 0, "stat", "The test statistic for a unit root"], [300, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [301, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [302, 5, 1, 0, "valid_trends", "List of valid trend terms."], [303, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.ADF.__init__": [[275, 2, 2, 0, "lags", "The number of lags to use in the ADF regression."], [275, 2, 2, 0, "low_memory", "Flag indicating whether to use a low memory implementation of the lag selection algorithm."], [275, 2, 2, 0, "max_lags", "The maximum number of lags to use when selecting lag length"], [275, 2, 2, 0, "method", "The method to use when selecting the lag length"], [275, 2, 2, 0, "trend", "The trend component to include in the test"], [275, 2, 2, 0, "y", "The data to test for a unit root"]], "arch.unitroot.DFGLS": [[304, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [305, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [306, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [307, 5, 1, 0, "max_lags", "Sets or gets the maximum lags used when automatically selecting lag length"], [308, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [309, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [310, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [311, 5, 1, 0, "regression", "Returns the OLS regression results from the ADF model estimated"], [312, 5, 1, 0, "stat", "The test statistic for a unit root"], [313, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [314, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [315, 5, 1, 0, "valid_trends", "List of valid trend terms."], [316, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.DFGLS.__init__": [[276, 2, 2, 0, "lags", "The number of lags to use in the ADF regression."], [276, 2, 2, "arch.unitroot.DFGLS", "low_memory", "Elliott, Rothenberg and Stock's (ers) GLS detrended Dickey-Fuller"], [276, 2, 2, 0, "max_lags", "The maximum number of lags to use when selecting lag length."], [276, 2, 2, 0, "method", "The method to use when selecting the lag length"], [276, 2, 2, 0, "trend", "The trend component to include in the test"], [276, 2, 2, 0, "y", "The data to test for a unit root"]], "arch.unitroot.KPSS": [[317, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [318, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [319, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [320, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [321, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [322, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [323, 5, 1, 0, "stat", "The test statistic for a unit root"], [324, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [325, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [326, 5, 1, 0, "valid_trends", "List of valid trend terms."], [327, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.KPSS.__init__": [[277, 2, 2, 0, "lags", "The number of lags to use in the Newey-West estimator of the long-run covariance."], [277, 2, 2, 0, "trend", "\"c\" - Include a constant (Default) \"ct\" - Include a constant and linear time trend"], [277, 2, 2, 0, "y", "The data to test for stationarity"]], "arch.unitroot.PhillipsPerron": [[328, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [329, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [330, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [331, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [332, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [333, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [334, 5, 1, 0, "regression", "Returns OLS regression results for the specification used in the test"], [335, 5, 1, 0, "stat", "The test statistic for a unit root"], [336, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [337, 5, 1, 0, "test_type", "Gets or sets the test type returned by stat. Valid values are \"tau\" or \"rho\""], [338, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [339, 5, 1, 0, "valid_trends", "List of valid trend terms."], [340, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.PhillipsPerron.__init__": [[278, 2, 2, 0, "lags", "The number of lags to use in the Newey-West estimator of the long-run covariance."], [278, 2, 2, 0, "test_type", "The test to use when computing the test statistic."], [278, 2, 2, 0, "trend", "The trend component to include in the test"], [278, 2, 2, 0, "y", "The data to test for a unit root"]], "arch.unitroot.VarianceRatio": [[341, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [342, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [343, 5, 1, 0, "debiased", "Sets of gets the indicator to use debiased variances in the ratio"], [344, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [345, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [346, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [347, 5, 1, 0, "overlap", "Sets of gets the indicator to use overlapping returns in the long-period variance estimator"], [348, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [349, 5, 1, 0, "robust", "Sets of gets the indicator to use a heteroskedasticity robust variance estimator"], [350, 5, 1, 0, "stat", "The test statistic for a unit root"], [351, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [352, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [353, 5, 1, 0, "valid_trends", "List of valid trend terms."], [354, 5, 1, 0, "vr", "The ratio of the long block lags-period variance to the 1-period variance"], [355, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.VarianceRatio.__init__": [[279, 2, 2, 0, "debiased", "Indicates whether to use a debiased version of the test."], [279, 2, 2, 0, "lags", "The number of periods to used in the multi-period variance, which is the numerator of the test statistic."], [279, 2, 2, 0, "overlap", "Indicates whether to use all overlapping blocks."], [279, 2, 2, 0, "robust", "Indicates whether to use heteroskedasticity robust inference."], [279, 2, 2, 0, "trend", "\"c\" allows for a non-zero drift in the random walk, while \"n\" requires that the increments to y are mean 0"], [279, 2, 2, 0, "y", "The data to test for a random walk"]], "arch.unitroot.ZivotAndrews": [[356, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [357, 5, 1, 0, "critical_values", "Dictionary containing critical values specific to the test, number of observations and included deterministic trend terms."], [358, 5, 1, 0, "lags", "Sets or gets the number of lags used in the model. When bootstrap use DF-type regressions, lags is the number of lags in the regression model.  When bootstrap use long-run variance estimators, lags is the number of lags used in the long-run variance estimator."], [359, 5, 1, 0, "nobs", "The number of observations used when computing the test statistic. Accounts for loss of data due to lags for regression-based bootstrap."], [360, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [361, 5, 1, 0, "pvalue", "Returns the p-value for the test statistic"], [362, 5, 1, 0, "stat", "The test statistic for a unit root"], [363, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [364, 5, 1, 0, "trend", "Sets or gets the deterministic trend term used in the test. See valid_trends for a list of supported trends"], [365, 5, 1, 0, "valid_trends", "List of valid trend terms."], [366, 5, 1, 0, "y", "Returns the data used in the test statistic"]], "arch.unitroot.ZivotAndrews.__init__": [[280, 2, 2, 0, "lags", "The number of lags to use in the ADF regression."], [280, 2, 2, 0, "max_lags", "The maximum number of lags to use when selecting lag length"], [280, 2, 2, 0, "method", "The method to use when selecting the lag length"], [280, 2, 2, 0, "trend", "The trend component to include in the test"], [280, 2, 2, 0, "trim", "percentage of series at begin/end to exclude from break-period calculation in range [0, 0.333] (default=0.15)"], [280, 2, 2, 0, "y", "data series"]], "arch.unitroot.auto_bandwidth": [[281, 2, 2, 0, "kernel", "The kernel function to use for selecting the bandwidth"], [281, 2, 2, 0, "y", "Data on which to apply the bandwidth selection"]], "arch.unitroot.cointegration": [[282, 1, 1, 0, "CanonicalCointegratingReg", "Canonical Cointegrating Regression cointegrating vector estimation."], [283, 1, 1, 0, "CointegrationAnalysisResults", "summary()"], [284, 1, 1, 0, "DynamicOLS", "Dynamic OLS (DOLS) cointegrating vector estimation"], [285, 1, 1, 0, "DynamicOLSResults", "Estimation results for Dynamic OLS models"], [286, 1, 1, 0, "EngleGrangerTestResults", "Results class for Engle-Granger cointegration tests."], [287, 1, 1, 0, "FullyModifiedOLS", "Fully Modified OLS cointegrating vector estimation."], [288, 1, 1, 0, "PhillipsOuliarisTestResults", "plot([axes, title])"], [289, 6, 1, 0, "engle_granger", "Test for cointegration within a set of time series."], [290, 6, 1, 0, "phillips_ouliaris", "Test for cointegration within a set of time series."]], "arch.unitroot.cointegration.CanonicalCointegratingReg": [[367, 3, 1, 0, "fit", "Estimate the cointegrating vector."]], "arch.unitroot.cointegration.CanonicalCointegratingReg.__init__": [[282, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [282, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [282, 2, 2, 0, "x_trend", "Trends that affects affect the x-data but do not appear in the cointegrating regression."], [282, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.CanonicalCointegratingReg.fit": [[367, 2, 2, 0, "bandwidth", "The bandwidth to use."], [367, 2, 2, 0, "df_adjust", "Whether the adjust the parameter covariance to account for the number of parameters estimated in the regression."], [367, 2, 2, 0, "diff", "Use differenced data to estimate the residuals."], [367, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [367, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."]], "arch.unitroot.cointegration.CointegrationAnalysisResults": [[368, 5, 1, 0, "bandwidth", "The bandwidth used in the parameter covariance estimation"], [369, 5, 1, 0, "cov", "The estimated parameter covariance of the cointegrating vector"], [370, 5, 1, 0, "kernel", "The kernel used to estimate the covariance"], [371, 5, 1, 0, "long_run_variance", "Long-run variance estimate used in the parameter covariance estimator"], [372, 5, 1, 0, "params", "The estimated parameters of the cointegrating vector"], [373, 5, 1, 0, "pvalues", "P-value of the parameters in the cointegrating vector"], [374, 5, 1, 0, "resid", "The model residuals"], [375, 5, 1, 0, "residual_variance", "The variance of the regression residual."], [376, 5, 1, 0, "rsquared", "The model R\u00b2"], [377, 5, 1, 0, "rsquared_adj", "The degree-of-freedom adjusted R\u00b2"], [378, 5, 1, 0, "std_errors", "Standard errors  of the parameters in the cointegrating vector"], [379, 3, 1, 0, "summary", "Summary of the model, containing estimated parameters and std. errors"], [380, 5, 1, 0, "tvalues", "T-statistics of the parameters in the cointegrating vector"]], "arch.unitroot.cointegration.CointegrationAnalysisResults.__init__": [[283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "cov", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "df_adjust", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "estimator_type", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "kernel_est", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "num_x", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "omega_112", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "params", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "resid", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "rsquared", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "rsquared_adj", "summary()"], [283, 2, 2, "arch.unitroot.cointegration.CointegrationAnalysisResults", "trend", "summary()"]], "arch.unitroot.cointegration.DynamicOLS": [[381, 3, 1, 0, "fit", "Estimate the Dynamic OLS regression"]], "arch.unitroot.cointegration.DynamicOLS.__init__": [[284, 2, 2, 0, "common", "Flag indicating that lags and leads should be restricted to the same value."], [284, 2, 2, 0, "lags", "The number of lags to include in the model."], [284, 2, 2, 0, "leads", "The number of leads to include in the model."], [284, 2, 2, 0, "max_lag", "The maximum lag to consider."], [284, 2, 2, 0, "max_lead", "The maximum lead to consider."], [284, 2, 2, 0, "method", "The method used to select lag length when lags or leads is None."], [284, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [284, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [284, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.DynamicOLS.fit": [[381, 2, 2, 0, "bandwidth", "The bandwidth to use."], [381, 2, 2, 0, "cov_type", "Either \"unadjusted\" (or is equivalent \"homoskedastic\") or \"robust\" (or its equivalent \"kernel\")."], [381, 2, 2, 0, "df_adjust", "Whether the adjust the parameter covariance to account for the number of parameters estimated in the regression."], [381, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [381, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."]], "arch.unitroot.cointegration.DynamicOLSResults": [[382, 5, 1, 0, "bandwidth", "The bandwidth used in the parameter covariance estimation"], [383, 5, 1, 0, "cov", "The estimated parameter covariance of the cointegrating vector"], [384, 5, 1, 0, "cov_type", "The type of parameter covariance estimator used"], [385, 5, 1, 0, "full_cov", "Parameter covariance of the all model parameters, incl. leads and lags"], [386, 5, 1, 0, "full_params", "The complete set of parameters, including leads and lags"], [387, 5, 1, 0, "kernel", "The kernel used to estimate the covariance"], [388, 5, 1, 0, "lags", "The number of lags included in the model"], [389, 5, 1, 0, "leads", "The number of leads included in the model"], [390, 5, 1, 0, "long_run_variance", "The long-run variance of the regression residual."], [391, 5, 1, 0, "params", "The estimated parameters of the cointegrating vector"], [392, 5, 1, 0, "pvalues", "P-value of the parameters in the cointegrating vector"], [393, 5, 1, 0, "resid", "The model residuals"], [394, 5, 1, 0, "residual_variance", "The variance of the regression residual."], [395, 5, 1, 0, "rsquared", "The model R\u00b2"], [396, 5, 1, 0, "rsquared_adj", "The degree-of-freedom adjusted R\u00b2"], [397, 5, 1, 0, "std_errors", "Standard errors  of the parameters in the cointegrating vector"], [398, 3, 1, 0, "summary", "Summary of the model, containing estimated parameters and std. errors"], [399, 5, 1, 0, "tvalues", "T-statistics of the parameters in the cointegrating vector"]], "arch.unitroot.cointegration.DynamicOLSResults.__init__": [[285, 2, 2, 0, "cov", "The estimated parameter covariance."], [285, 2, 2, 0, "cov_type", "The type of the parameter covariance estimator used."], [285, 2, 2, 0, "df_adjust", "Whether to degree of freedom adjust the estimator."], [285, 2, 2, 0, "kernel_est", "The covariance estimator instance used to estimate the parameter covariance."], [285, 2, 2, 0, "lags", "The number of lags included in the model."], [285, 2, 2, 0, "leads", "The number of leads included in the model."], [285, 2, 2, "arch.unitroot.cointegration.DynamicOLSResults", "num_x", "Estimation results for Dynamic OLS models"], [285, 2, 2, 0, "params", "The estimated model parameters."], [285, 2, 2, 0, "reg_results", "Regression results from fitting statsmodels OLS."], [285, 2, 2, 0, "resid", "The model residuals."], [285, 2, 2, "arch.unitroot.cointegration.DynamicOLSResults", "trend", "Estimation results for Dynamic OLS models"]], "arch.unitroot.cointegration.DynamicOLSResults.summary": [[398, 2, 2, 0, "full", "Flag indicating whether to include all estimated parameters (True) or only the parameters of the cointegrating vector"]], "arch.unitroot.cointegration.EngleGrangerTestResults": [[400, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [401, 5, 1, 0, "cointegrating_vector", "The estimated cointegrating vector."], [402, 5, 1, 0, "critical_values", "Critical Values"], [403, 5, 1, 0, "distribution_order", "The number of stochastic trends under the null hypothesis."], [404, 5, 1, 0, "lags", "The number of lags used in the Augmented Dickey-Fuller regression."], [405, 5, 1, 0, "max_lags", "The maximum number of lags used in the lag-length selection."], [406, 5, 1, 0, "name", "Sets or gets the name of the cointegration test"], [407, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [408, 3, 1, 0, "plot", "Plot the cointegration residuals."], [409, 5, 1, 0, "pvalue", "The p-value of the test statistic."], [410, 5, 1, 0, "resid", "The residual from the cointegrating regression."], [411, 5, 1, 0, "rho", "The estimated coefficient in the Dickey-Fuller Test"], [412, 5, 1, 0, "stat", "The test statistic."], [413, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [414, 5, 1, 0, "trend", "The trend used in the cointegrating regression"]], "arch.unitroot.cointegration.EngleGrangerTestResults.__init__": [[286, 2, 2, 0, "adf", "The ADF instance used to perform the test and lag selection."], [286, 2, 2, 0, "alternative", "The alternative hypothesis."], [286, 2, 2, 0, "crit_vals", "The critical values of the Engle-Granger specific to the sample size and model dimension."], [286, 2, 2, 0, "null", "The null hypothesis."], [286, 2, 2, 0, "order", "The number of stochastic trends in the null distribution."], [286, 2, 2, 0, "pvalue", "The pvalue of the Engle-Granger test statistic."], [286, 2, 2, 0, "stat", "The Engle-Granger test statistic."], [286, 2, 2, 0, "trend", "The model's trend description."], [286, 2, 2, 0, "xsection", "The OLS results used in the cross-sectional regression."]], "arch.unitroot.cointegration.EngleGrangerTestResults.plot": [[408, 2, 2, 0, "axes", "matplotlib axes instance to hold the figure."], [408, 2, 2, 0, "title", "Title for the figure."]], "arch.unitroot.cointegration.FullyModifiedOLS": [[415, 3, 1, 0, "fit", "Estimate the cointegrating vector."]], "arch.unitroot.cointegration.FullyModifiedOLS.__init__": [[287, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [287, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [287, 2, 2, 0, "x_trend", "Trends that affects affect the x-data but do not appear in the cointegrating regression."], [287, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.FullyModifiedOLS.fit": [[415, 2, 2, 0, "bandwidth", "The bandwidth to use."], [415, 2, 2, 0, "df_adjust", "Whether the adjust the parameter covariance to account for the number of parameters estimated in the regression."], [415, 2, 2, 0, "diff", "Use differenced data to estimate the residuals."], [415, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [415, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults": [[416, 5, 1, 0, "alternative_hypothesis", "The alternative hypothesis"], [417, 5, 1, 0, "bandwidth", "Bandwidth used by the long-run covariance estimator"], [418, 5, 1, 0, "cointegrating_vector", "The estimated cointegrating vector."], [419, 5, 1, 0, "critical_values", "Critical Values"], [420, 5, 1, 0, "distribution_order", "The number of stochastic trends under the null hypothesis."], [421, 5, 1, 0, "kernel", "Name of the long-run covariance estimator"], [422, 5, 1, 0, "name", "Sets or gets the name of the cointegration test"], [423, 5, 1, 0, "null_hypothesis", "The null hypothesis"], [424, 3, 1, 0, "plot", "Plot the cointegration residuals."], [425, 5, 1, 0, "pvalue", "The p-value of the test statistic."], [426, 5, 1, 0, "resid", "The residual from the cointegrating regression."], [427, 5, 1, 0, "stat", "The test statistic."], [428, 3, 1, 0, "summary", "Summary of test, containing statistic, p-value and critical values"], [429, 5, 1, 0, "trend", "The trend used in the cointegrating regression"]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.__init__": [[288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "alternative", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "crit_vals", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "kernel_est", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "null", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "order", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "pvalue", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "rho", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "stat", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "test_type", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "trend", "plot([axes, title])"], [288, 2, 2, "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "xsection", "plot([axes, title])"]], "arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot": [[424, 2, 2, 0, "axes", "matplotlib axes instance to hold the figure."], [424, 2, 2, 0, "title", "Title for the figure."]], "arch.unitroot.cointegration.engle_granger": [[289, 2, 2, 0, "lags", "The number of lagged differences to include in the Augmented Dickey-Fuller test used on the residuals of the"], [289, 2, 2, 0, "max_lags", "The maximum number of lags to consider when using automatic lag-length in the Augmented Dickey-Fuller regression."], [289, 2, 2, 0, "method", "The method used to select the number of lags included in the Augmented Dickey-Fuller regression."], [289, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [289, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [289, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.unitroot.cointegration.phillips_ouliaris": [[290, 2, 2, 0, "bandwidth", "The bandwidth to use."], [290, 2, 2, 0, "force_int", "Whether the force the estimated optimal bandwidth to be an integer."], [290, 2, 2, 0, "kernel", "The string name of any of any known kernel-based long-run covariance estimators."], [290, 2, 2, 0, "test_type", "The test statistic to compute."], [290, 2, 2, 0, "trend", "Trend to include in the cointegrating regression."], [290, 2, 2, 0, "x", "The right-hand-side variables in the cointegrating regression."], [290, 2, 2, 0, "y", "The left-hand-side variable in the cointegrating regression."]], "arch.univariate": [[438, 1, 1, 0, "APARCH", "Asymmetric Power ARCH (APARCH) volatility process"], [439, 1, 1, 0, "ARCH", "ARCH process"], [440, 1, 1, 0, "ARCHInMean", "(G)ARCH-in-mean model and simulation"], [441, 1, 1, 0, "ARX", "Autoregressive model with optional exogenous regressors estimation and simulation"], [442, 1, 1, 0, "ConstantMean", "Constant mean model estimation and simulation."], [443, 1, 1, 0, "ConstantVariance", "Constant volatility process"], [444, 1, 1, 0, "EGARCH", "EGARCH model estimation"], [445, 1, 1, 0, "EWMAVariance", "Exponentially Weighted Moving-Average (RiskMetrics) Variance process"], [446, 1, 1, 0, "FIGARCH", "FIGARCH model"], [447, 1, 1, 0, "FixedVariance", "Fixed volatility process"], [448, 1, 1, 0, "GARCH", "GARCH and related model estimation"], [449, 1, 1, 0, "GeneralizedError", "Generalized Error distribution for use with ARCH models"], [450, 1, 1, 0, "HARCH", "Heterogeneous ARCH process"], [451, 1, 1, 0, "HARX", "Heterogeneous Autoregression (HAR), with optional exogenous regressors, model estimation and simulation"], [452, 1, 1, 0, "LS", "Least squares model estimation and simulation"], [453, 1, 1, 0, "MIDASHyperbolic", "MIDAS Hyperbolic ARCH process"], [454, 1, 1, 0, "Normal", "Standard normal distribution for use with ARCH models"], [455, 1, 1, 0, "RiskMetrics2006", "RiskMetrics 2006 Variance process"], [456, 1, 1, 0, "SkewStudent", "Standardized Skewed Student's distribution for use with ARCH models"], [457, 1, 1, 0, "StudentsT", "Standardized Student's distribution for use with ARCH models"], [458, 1, 1, 0, "ZeroMean", "Model with zero conditional mean estimation and simulation"], [907, 6, 1, 0, "arch_model", "Initialization of common ARCH model specifications"]], "arch.univariate.APARCH": [[468, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [469, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [470, 3, 1, 0, "bounds", "Returns bounds for parameters"], [471, 5, 1, 0, "common_asym", "The value of delta in the model. NaN is delta is estimated."], [472, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [473, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [474, 5, 1, 0, "delta", "The value of delta in the model. NaN is delta is estimated."], [475, 3, 1, 0, "forecast", "Forecast volatility from the model"], [476, 5, 1, 0, "name", "The name of the volatility process"], [477, 5, 1, 0, "num_params", "The number of parameters in the model"], [478, 3, 1, 0, "parameter_names", "Names of model parameters"], [479, 3, 1, 0, "simulate", "Simulate data from the model"], [480, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [481, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [482, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [483, 3, 1, 0, "update", "Compute the variance for a single observation"], [484, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [485, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [486, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.APARCH.__init__": [[438, 2, 2, 0, "common_asym", "Restrict all asymmetry terms to share the same asymmetry parameter."], [438, 2, 2, 0, "delta", "Value to use for a fixed delta in the APARCH model."], [438, 2, 2, 0, "o", "Order of the asymmetric innovation."], [438, 2, 2, 0, "p", "Order of the symmetric innovation."], [438, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"]], "arch.univariate.APARCH.backcast": [[468, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.APARCH.backcast_transform": [[469, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.APARCH.bounds": [[470, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.APARCH.compute_variance": [[472, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [472, 2, 2, 0, "parameters", "Model parameters"], [472, 2, 2, 0, "resids", "Vector of mean zero residuals"], [472, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [472, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.APARCH.forecast": [[475, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [475, 2, 2, 0, "horizon", "Forecast horizon."], [475, 2, 2, 0, "method", "Method to use when producing the forecast."], [475, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [475, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [475, 2, 2, 0, "resids", "Residuals to use in the recursion"], [475, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [475, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [475, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [475, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.APARCH.simulate": [[479, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [479, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [479, 2, 2, 0, "nobs", "Number of data points to simulate"], [479, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [479, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.APARCH.starting_values": [[481, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.APARCH.update": [[483, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [483, 2, 2, 0, "index", "The numerical index of the variance to compute"], [483, 2, 2, 0, "parameters", "The variance model parameters"], [483, 2, 2, 0, "resids", "The residual array."], [483, 2, 2, 0, "sigma2", "The array containing the variances."], [483, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.APARCH.variance_bounds": [[485, 2, 2, 0, "power", "Power used in the model."], [485, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.ARCH": [[487, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [488, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [489, 3, 1, 0, "bounds", "Returns bounds for parameters"], [490, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [491, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [492, 3, 1, 0, "forecast", "Forecast volatility from the model"], [493, 5, 1, 0, "name", "The name of the volatility process"], [494, 5, 1, 0, "num_params", "The number of parameters in the model"], [495, 3, 1, 0, "parameter_names", "Names of model parameters"], [496, 3, 1, 0, "simulate", "Simulate data from the model"], [497, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [498, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [499, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [500, 3, 1, 0, "update", "Compute the variance for a single observation"], [501, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [502, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [503, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.ARCH.__init__": [[439, 2, 2, 0, "p", "Order of the symmetric innovation"]], "arch.univariate.ARCH.backcast": [[487, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ARCH.backcast_transform": [[488, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.ARCH.bounds": [[489, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ARCH.compute_variance": [[490, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [490, 2, 2, 0, "parameters", "Model parameters"], [490, 2, 2, 0, "resids", "Vector of mean zero residuals"], [490, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [490, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ARCH.forecast": [[492, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [492, 2, 2, 0, "horizon", "Forecast horizon."], [492, 2, 2, 0, "method", "Method to use when producing the forecast."], [492, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [492, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [492, 2, 2, 0, "resids", "Residuals to use in the recursion"], [492, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [492, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [492, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [492, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ARCH.simulate": [[496, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [496, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [496, 2, 2, 0, "nobs", "Number of data points to simulate"], [496, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [496, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.ARCH.starting_values": [[498, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.ARCH.update": [[500, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [500, 2, 2, 0, "index", "The numerical index of the variance to compute"], [500, 2, 2, 0, "parameters", "The variance model parameters"], [500, 2, 2, 0, "resids", "The residual array."], [500, 2, 2, 0, "sigma2", "The array containing the variances."], [500, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ARCH.variance_bounds": [[502, 2, 2, 0, "power", "Power used in the model."], [502, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.ARCHInMean": [[504, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [505, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [506, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [507, 5, 1, 0, "distribution", "Set or gets the error distribution"], [508, 3, 1, 0, "fit", "Estimate model parameters"], [509, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [510, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [511, 5, 1, 0, "form", "The form of the conditional variance in the mean"], [512, 5, 1, 0, "name", "The name of the model."], [513, 5, 1, 0, "num_params", "Returns the number of parameters"], [514, 3, 1, 0, "parameter_names", "List of parameters names"], [515, 3, 1, 0, "resids", "Compute model residuals"], [516, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [517, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [518, 5, 1, 0, "volatility", "Set or gets the volatility process"], [519, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [520, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ARCHInMean.__init__": [[440, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [440, 2, 2, 0, "distribution", "Error distribution to use in the model"], [440, 2, 2, 0, "form", "The form of the conditional variance that appears in the mean equation."], [440, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [440, 2, 2, 0, "lags", "Description of lag structure of the HAR."], [440, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [440, 2, 2, 0, "volatility", "Volatility process to use in the model."], [440, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [440, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ARCHInMean.compute_param_cov": [[505, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [505, 2, 2, 0, "params", "Model parameters"], [505, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ARCHInMean.fit": [[508, 2, 2, 0, "backcast", "Value to use as backcast."], [508, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [508, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [508, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [508, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [508, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [508, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [508, 2, 2, 0, "starting_values", "Array of starting values to use."], [508, 2, 2, 0, "tol", "Tolerance for termination."], [508, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ARCHInMean.fix": [[509, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [509, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [509, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ARCHInMean.forecast": [[510, 2, 2, 0, "align", "Either 'origin' or 'target'."], [510, 2, 2, 0, "horizon", "Number of steps to forecast"], [510, 2, 2, 0, "method", "Method to use when producing the forecast."], [510, 2, 2, 0, "params", "Parameters required to forecast."], [510, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [510, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [510, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [510, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [510, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [510, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ARCHInMean.resids": [[515, 2, 2, 0, "params", "Model parameters"], [515, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [515, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ARCHInMean.simulate": [[516, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [516, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [516, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [516, 2, 2, 0, "nobs", "Length of series to simulate"], [516, 2, 2, 0, "params", "Parameters to use when simulating the model."], [516, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.ARX": [[521, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [522, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [523, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [524, 5, 1, 0, "distribution", "Set or gets the error distribution"], [525, 3, 1, 0, "fit", "Estimate model parameters"], [526, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [527, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [528, 5, 1, 0, "name", "The name of the model."], [529, 5, 1, 0, "num_params", "Returns the number of parameters"], [530, 3, 1, 0, "parameter_names", "List of parameters names"], [531, 3, 1, 0, "resids", "Compute model residuals"], [532, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [533, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [534, 5, 1, 0, "volatility", "Set or gets the volatility process"], [535, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [536, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ARX.__init__": [[441, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [441, 2, 2, 0, "distribution", "Error distribution to use in the model"], [441, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [441, 2, 2, 0, "lags", "Description of lag structure of the HAR."], [441, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [441, 2, 2, 0, "volatility", "Volatility process to use in the model"], [441, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [441, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ARX.compute_param_cov": [[522, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [522, 2, 2, 0, "params", "Model parameters"], [522, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ARX.fit": [[525, 2, 2, 0, "backcast", "Value to use as backcast."], [525, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [525, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [525, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [525, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [525, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [525, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [525, 2, 2, 0, "starting_values", "Array of starting values to use."], [525, 2, 2, 0, "tol", "Tolerance for termination."], [525, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ARX.fix": [[526, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [526, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [526, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ARX.forecast": [[527, 2, 2, 0, "align", "Either 'origin' or 'target'."], [527, 2, 2, 0, "horizon", "Number of steps to forecast"], [527, 2, 2, 0, "method", "Method to use when producing the forecast."], [527, 2, 2, 0, "params", "Parameters required to forecast."], [527, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [527, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [527, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [527, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [527, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [527, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ARX.resids": [[531, 2, 2, 0, "params", "Model parameters"], [531, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [531, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ARX.simulate": [[532, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [532, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [532, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [532, 2, 2, 0, "nobs", "Length of series to simulate"], [532, 2, 2, 0, "params", "Parameters to use when simulating the model."], [532, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.ConstantMean": [[537, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [538, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [539, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [540, 5, 1, 0, "distribution", "Set or gets the error distribution"], [541, 3, 1, 0, "fit", "Estimate model parameters"], [542, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [543, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [544, 5, 1, 0, "name", "The name of the model."], [545, 5, 1, 0, "num_params", "Returns the number of parameters"], [546, 3, 1, 0, "parameter_names", "List of parameters names"], [547, 3, 1, 0, "resids", "Compute model residuals"], [548, 3, 1, 0, "simulate", "Simulated data from a constant mean model"], [549, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [550, 5, 1, 0, "volatility", "Set or gets the volatility process"], [551, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [552, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ConstantMean.__init__": [[442, 2, 2, 0, "distribution", "Error distribution to use in the model"], [442, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [442, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [442, 2, 2, 0, "volatility", "Volatility process to use in the model"], [442, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ConstantMean.compute_param_cov": [[538, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [538, 2, 2, 0, "params", "Model parameters"], [538, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ConstantMean.fit": [[541, 2, 2, 0, "backcast", "Value to use as backcast."], [541, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [541, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [541, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [541, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [541, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [541, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [541, 2, 2, 0, "starting_values", "Array of starting values to use."], [541, 2, 2, 0, "tol", "Tolerance for termination."], [541, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ConstantMean.fix": [[542, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [542, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [542, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ConstantMean.forecast": [[543, 2, 2, 0, "align", "Either 'origin' or 'target'."], [543, 2, 2, 0, "horizon", "Number of steps to forecast"], [543, 2, 2, 0, "method", "Method to use when producing the forecast."], [543, 2, 2, 0, "params", "Parameters required to forecast."], [543, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [543, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [543, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [543, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [543, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [543, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ConstantMean.resids": [[547, 2, 2, 0, "params", "Model parameters"], [547, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [547, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ConstantMean.simulate": [[548, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [548, 2, 2, 0, "initial_value", "This value is not used."], [548, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [548, 2, 2, 0, "nobs", "Length of series to simulate"], [548, 2, 2, 0, "params", "Parameters to use when simulating the model."], [548, 2, 2, 0, "x", "This value is not used."]], "arch.univariate.ConstantVariance": [[553, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [554, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [555, 3, 1, 0, "bounds", "Returns bounds for parameters"], [556, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [557, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [558, 3, 1, 0, "forecast", "Forecast volatility from the model"], [559, 5, 1, 0, "name", "The name of the volatility process"], [560, 5, 1, 0, "num_params", "The number of parameters in the model"], [561, 3, 1, 0, "parameter_names", "Names of model parameters"], [562, 3, 1, 0, "simulate", "Simulate data from the model"], [563, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [564, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [565, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [566, 3, 1, 0, "update", "Compute the variance for a single observation"], [567, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [568, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [569, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.ConstantVariance.backcast": [[553, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ConstantVariance.backcast_transform": [[554, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.ConstantVariance.bounds": [[555, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.ConstantVariance.compute_variance": [[556, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [556, 2, 2, 0, "parameters", "Model parameters"], [556, 2, 2, 0, "resids", "Vector of mean zero residuals"], [556, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [556, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ConstantVariance.forecast": [[558, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [558, 2, 2, 0, "horizon", "Forecast horizon."], [558, 2, 2, 0, "method", "Method to use when producing the forecast."], [558, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [558, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [558, 2, 2, 0, "resids", "Residuals to use in the recursion"], [558, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [558, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [558, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [558, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ConstantVariance.simulate": [[562, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [562, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [562, 2, 2, 0, "nobs", "Number of data points to simulate"], [562, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [562, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.ConstantVariance.starting_values": [[564, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.ConstantVariance.update": [[566, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [566, 2, 2, 0, "index", "The numerical index of the variance to compute"], [566, 2, 2, 0, "parameters", "The variance model parameters"], [566, 2, 2, 0, "resids", "The residual array."], [566, 2, 2, 0, "sigma2", "The array containing the variances."], [566, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.ConstantVariance.variance_bounds": [[568, 2, 2, 0, "power", "Power used in the model."], [568, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.EGARCH": [[570, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [571, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [572, 3, 1, 0, "bounds", "Returns bounds for parameters"], [573, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [574, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [575, 3, 1, 0, "forecast", "Forecast volatility from the model"], [576, 5, 1, 0, "name", "The name of the volatility process"], [577, 5, 1, 0, "num_params", "The number of parameters in the model"], [578, 3, 1, 0, "parameter_names", "Names of model parameters"], [579, 3, 1, 0, "simulate", "Simulate data from the model"], [580, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [581, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [582, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [583, 3, 1, 0, "update", "Compute the variance for a single observation"], [584, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [585, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [586, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.EGARCH.__init__": [[444, 2, 2, 0, "o", "Order of the asymmetric innovation"], [444, 2, 2, 0, "p", "Order of the symmetric innovation"], [444, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"]], "arch.univariate.EGARCH.backcast": [[570, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EGARCH.backcast_transform": [[571, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.EGARCH.bounds": [[572, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EGARCH.compute_variance": [[573, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [573, 2, 2, 0, "parameters", "Model parameters"], [573, 2, 2, 0, "resids", "Vector of mean zero residuals"], [573, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [573, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EGARCH.forecast": [[575, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [575, 2, 2, 0, "horizon", "Forecast horizon."], [575, 2, 2, 0, "method", "Method to use when producing the forecast."], [575, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [575, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [575, 2, 2, 0, "resids", "Residuals to use in the recursion"], [575, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [575, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [575, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [575, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EGARCH.simulate": [[579, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [579, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [579, 2, 2, 0, "nobs", "Number of data points to simulate"], [579, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [579, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.EGARCH.starting_values": [[581, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.EGARCH.update": [[583, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [583, 2, 2, 0, "index", "The numerical index of the variance to compute"], [583, 2, 2, 0, "parameters", "The variance model parameters"], [583, 2, 2, 0, "resids", "The residual array."], [583, 2, 2, 0, "sigma2", "The array containing the variances."], [583, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EGARCH.variance_bounds": [[585, 2, 2, 0, "power", "Power used in the model."], [585, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.EWMAVariance": [[587, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [588, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [589, 3, 1, 0, "bounds", "Returns bounds for parameters"], [590, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [591, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [592, 3, 1, 0, "forecast", "Forecast volatility from the model"], [593, 5, 1, 0, "name", "The name of the volatility process"], [594, 5, 1, 0, "num_params", "The number of parameters in the model"], [595, 3, 1, 0, "parameter_names", "Names of model parameters"], [596, 3, 1, 0, "simulate", "Simulate data from the model"], [597, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [598, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [599, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [600, 3, 1, 0, "update", "Compute the variance for a single observation"], [601, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [602, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [603, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.EWMAVariance.__init__": [[445, 2, 2, 0, "lam", "Smoothing parameter."]], "arch.univariate.EWMAVariance.backcast": [[587, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EWMAVariance.backcast_transform": [[588, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.EWMAVariance.bounds": [[589, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.EWMAVariance.compute_variance": [[590, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [590, 2, 2, 0, "parameters", "Model parameters"], [590, 2, 2, 0, "resids", "Vector of mean zero residuals"], [590, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [590, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EWMAVariance.forecast": [[592, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [592, 2, 2, 0, "horizon", "Forecast horizon."], [592, 2, 2, 0, "method", "Method to use when producing the forecast."], [592, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [592, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [592, 2, 2, 0, "resids", "Residuals to use in the recursion"], [592, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [592, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [592, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [592, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EWMAVariance.simulate": [[596, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [596, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [596, 2, 2, 0, "nobs", "Number of data points to simulate"], [596, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [596, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.EWMAVariance.starting_values": [[598, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.EWMAVariance.update": [[600, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [600, 2, 2, 0, "index", "The numerical index of the variance to compute"], [600, 2, 2, 0, "parameters", "The variance model parameters"], [600, 2, 2, 0, "resids", "The residual array."], [600, 2, 2, 0, "sigma2", "The array containing the variances."], [600, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.EWMAVariance.variance_bounds": [[602, 2, 2, 0, "power", "Power used in the model."], [602, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.FIGARCH": [[604, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [605, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [606, 3, 1, 0, "bounds", "Returns bounds for parameters"], [607, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [608, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [609, 3, 1, 0, "forecast", "Forecast volatility from the model"], [610, 5, 1, 0, "name", "The name of the volatility process"], [611, 5, 1, 0, "num_params", "The number of parameters in the model"], [612, 3, 1, 0, "parameter_names", "Names of model parameters"], [613, 3, 1, 0, "simulate", "Simulate data from the model"], [614, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [615, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [616, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [617, 5, 1, 0, "truncation", "Truncation lag for the ARCH-infinity approximation"], [618, 3, 1, 0, "update", "Compute the variance for a single observation"], [619, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [620, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [621, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.FIGARCH.__init__": [[446, 2, 2, 0, "p", "Order of the symmetric innovation"], [446, 2, 2, 0, "power", "Power to use with the innovations, abs(e) ** power."], [446, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"], [446, 2, 2, 0, "truncation", "Truncation point to use in ARCH(\\infty) representation. Default is 1000."]], "arch.univariate.FIGARCH.backcast": [[604, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FIGARCH.backcast_transform": [[605, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.FIGARCH.bounds": [[606, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FIGARCH.compute_variance": [[607, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [607, 2, 2, 0, "parameters", "Model parameters"], [607, 2, 2, 0, "resids", "Vector of mean zero residuals"], [607, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [607, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FIGARCH.forecast": [[609, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [609, 2, 2, 0, "horizon", "Forecast horizon."], [609, 2, 2, 0, "method", "Method to use when producing the forecast."], [609, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [609, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [609, 2, 2, 0, "resids", "Residuals to use in the recursion"], [609, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [609, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [609, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [609, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FIGARCH.simulate": [[613, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [613, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [613, 2, 2, 0, "nobs", "Number of data points to simulate"], [613, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [613, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.FIGARCH.starting_values": [[615, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.FIGARCH.update": [[618, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [618, 2, 2, 0, "index", "The numerical index of the variance to compute"], [618, 2, 2, 0, "parameters", "The variance model parameters"], [618, 2, 2, 0, "resids", "The residual array."], [618, 2, 2, 0, "sigma2", "The array containing the variances."], [618, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FIGARCH.variance_bounds": [[620, 2, 2, 0, "power", "Power used in the model."], [620, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.FixedVariance": [[622, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [623, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [624, 3, 1, 0, "bounds", "Returns bounds for parameters"], [625, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [626, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [627, 3, 1, 0, "forecast", "Forecast volatility from the model"], [628, 5, 1, 0, "name", "The name of the volatility process"], [629, 5, 1, 0, "num_params", "The number of parameters in the model"], [630, 3, 1, 0, "parameter_names", "Names of model parameters"], [631, 3, 1, 0, "simulate", "Simulate data from the model"], [632, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [633, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [634, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [635, 3, 1, 0, "update", "Compute the variance for a single observation"], [636, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [637, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [638, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.FixedVariance.__init__": [[447, 2, 2, 0, "unit_scale", "Flag whether to enforce a unit scale."], [447, 2, 2, 0, "variance", "Array containing the variances to use."]], "arch.univariate.FixedVariance.backcast": [[622, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FixedVariance.backcast_transform": [[623, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.FixedVariance.bounds": [[624, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.FixedVariance.compute_variance": [[625, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [625, 2, 2, 0, "parameters", "Model parameters"], [625, 2, 2, 0, "resids", "Vector of mean zero residuals"], [625, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [625, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FixedVariance.forecast": [[627, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [627, 2, 2, 0, "horizon", "Forecast horizon."], [627, 2, 2, 0, "method", "Method to use when producing the forecast."], [627, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [627, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [627, 2, 2, 0, "resids", "Residuals to use in the recursion"], [627, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [627, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [627, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [627, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FixedVariance.simulate": [[631, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [631, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [631, 2, 2, 0, "nobs", "Number of data points to simulate"], [631, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [631, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.FixedVariance.starting_values": [[633, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.FixedVariance.update": [[635, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [635, 2, 2, 0, "index", "The numerical index of the variance to compute"], [635, 2, 2, 0, "parameters", "The variance model parameters"], [635, 2, 2, 0, "resids", "The residual array."], [635, 2, 2, 0, "sigma2", "The array containing the variances."], [635, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.FixedVariance.variance_bounds": [[637, 2, 2, 0, "power", "Power used in the model."], [637, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.GARCH": [[639, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [640, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [641, 3, 1, 0, "bounds", "Returns bounds for parameters"], [642, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [643, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [644, 3, 1, 0, "forecast", "Forecast volatility from the model"], [645, 5, 1, 0, "name", "The name of the volatility process"], [646, 5, 1, 0, "num_params", "The number of parameters in the model"], [647, 3, 1, 0, "parameter_names", "Names of model parameters"], [648, 3, 1, 0, "simulate", "Simulate data from the model"], [649, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [650, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [651, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [652, 3, 1, 0, "update", "Compute the variance for a single observation"], [653, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [654, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [655, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.GARCH.__init__": [[448, 2, 2, 0, "o", "Order of the asymmetric innovation"], [448, 2, 2, 0, "p", "Order of the symmetric innovation"], [448, 2, 2, 0, "power", "Power to use with the innovations, abs(e) ** power."], [448, 2, 2, 0, "q", "Order of the lagged (transformed) conditional variance"]], "arch.univariate.GARCH.backcast": [[639, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.GARCH.backcast_transform": [[640, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.GARCH.bounds": [[641, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.GARCH.compute_variance": [[642, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [642, 2, 2, 0, "parameters", "Model parameters"], [642, 2, 2, 0, "resids", "Vector of mean zero residuals"], [642, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [642, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.GARCH.forecast": [[644, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [644, 2, 2, 0, "horizon", "Forecast horizon."], [644, 2, 2, 0, "method", "Method to use when producing the forecast."], [644, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [644, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [644, 2, 2, 0, "resids", "Residuals to use in the recursion"], [644, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [644, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [644, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [644, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.GARCH.simulate": [[648, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [648, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [648, 2, 2, 0, "nobs", "Number of data points to simulate"], [648, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [648, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.GARCH.starting_values": [[650, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.GARCH.update": [[652, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [652, 2, 2, 0, "index", "The numerical index of the variance to compute"], [652, 2, 2, 0, "parameters", "The variance model parameters"], [652, 2, 2, 0, "resids", "The residual array."], [652, 2, 2, 0, "sigma2", "The array containing the variances."], [652, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.GARCH.variance_bounds": [[654, 2, 2, 0, "power", "Power used in the model."], [654, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.GeneralizedError": [[656, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [657, 3, 1, 0, "cdf", "Cumulative distribution function"], [658, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [659, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [660, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are have a Generalized Error Distribution, conditional on the variance."], [661, 3, 1, 0, "moment", "Moment of order n"], [662, 5, 1, 0, "name", "The name of the distribution"], [663, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [664, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [665, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [666, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [667, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [668, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.GeneralizedError.__init__": [[449, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [449, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.GeneralizedError.bounds": [[656, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.GeneralizedError.cdf": [[657, 2, 2, 0, "parameters", "Distribution parameters."], [657, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.GeneralizedError.loglikelihood": [[660, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [660, 2, 2, 0, "parameters", "Shape parameter of the GED distribution"], [660, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [660, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.GeneralizedError.moment": [[661, 2, 2, 0, "n", "Order of moment"], [661, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.GeneralizedError.partial_moment": [[664, 2, 2, 0, "n", "Order of partial moment"], [664, 2, 2, 0, "parameters", "Distribution parameters."], [664, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.GeneralizedError.ppf": [[665, 2, 2, 0, "parameters", "Distribution parameters."], [665, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.GeneralizedError.simulate": [[667, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.GeneralizedError.starting_values": [[668, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.HARCH": [[669, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [670, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [671, 3, 1, 0, "bounds", "Returns bounds for parameters"], [672, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [673, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [674, 3, 1, 0, "forecast", "Forecast volatility from the model"], [675, 5, 1, 0, "name", "The name of the volatility process"], [676, 5, 1, 0, "num_params", "The number of parameters in the model"], [677, 3, 1, 0, "parameter_names", "Names of model parameters"], [678, 3, 1, 0, "simulate", "Simulate data from the model"], [679, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [680, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [681, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [682, 3, 1, 0, "update", "Compute the variance for a single observation"], [683, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [684, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [685, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.HARCH.__init__": [[450, 2, 2, 0, "lags", "List of lags to include in the model, or if scalar, includes all lags up the value"]], "arch.univariate.HARCH.backcast": [[669, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.HARCH.backcast_transform": [[670, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.HARCH.bounds": [[671, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.HARCH.compute_variance": [[672, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [672, 2, 2, 0, "parameters", "Model parameters"], [672, 2, 2, 0, "resids", "Vector of mean zero residuals"], [672, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [672, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.HARCH.forecast": [[674, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [674, 2, 2, 0, "horizon", "Forecast horizon."], [674, 2, 2, 0, "method", "Method to use when producing the forecast."], [674, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [674, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [674, 2, 2, 0, "resids", "Residuals to use in the recursion"], [674, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [674, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [674, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [674, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.HARCH.simulate": [[678, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [678, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [678, 2, 2, 0, "nobs", "Number of data points to simulate"], [678, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [678, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.HARCH.starting_values": [[680, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.HARCH.update": [[682, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [682, 2, 2, 0, "index", "The numerical index of the variance to compute"], [682, 2, 2, 0, "parameters", "The variance model parameters"], [682, 2, 2, 0, "resids", "The residual array."], [682, 2, 2, 0, "sigma2", "The array containing the variances."], [682, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.HARCH.variance_bounds": [[684, 2, 2, 0, "power", "Power used in the model."], [684, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.HARX": [[686, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [687, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [688, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [689, 5, 1, 0, "distribution", "Set or gets the error distribution"], [690, 3, 1, 0, "fit", "Estimate model parameters"], [691, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [692, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [693, 5, 1, 0, "name", "The name of the model."], [694, 5, 1, 0, "num_params", "Returns the number of parameters"], [695, 3, 1, 0, "parameter_names", "List of parameters names"], [696, 3, 1, 0, "resids", "Compute model residuals"], [697, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [698, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [699, 5, 1, 0, "volatility", "Set or gets the volatility process"], [700, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [701, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.HARX.__init__": [[451, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [451, 2, 2, 0, "distribution", "Error distribution to use in the model"], [451, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [451, 2, 2, 0, "lags", "Description of lag structure of the HAR."], [451, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [451, 2, 2, 0, "use_rotated", "Flag indicating to use the alternative rotated form of the HAR where HAR lags do not overlap"], [451, 2, 2, 0, "volatility", "Volatility process to use in the model"], [451, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [451, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.HARX.compute_param_cov": [[687, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [687, 2, 2, 0, "params", "Model parameters"], [687, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.HARX.fit": [[690, 2, 2, 0, "backcast", "Value to use as backcast."], [690, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [690, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [690, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [690, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [690, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [690, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [690, 2, 2, 0, "starting_values", "Array of starting values to use."], [690, 2, 2, 0, "tol", "Tolerance for termination."], [690, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.HARX.fix": [[691, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [691, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [691, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.HARX.forecast": [[692, 2, 2, 0, "align", "Either 'origin' or 'target'."], [692, 2, 2, 0, "horizon", "Number of steps to forecast"], [692, 2, 2, 0, "method", "Method to use when producing the forecast."], [692, 2, 2, 0, "params", "Parameters required to forecast."], [692, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [692, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [692, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [692, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [692, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [692, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.HARX.resids": [[696, 2, 2, 0, "params", "Model parameters"], [696, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [696, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.HARX.simulate": [[697, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [697, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [697, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [697, 2, 2, 0, "nobs", "Length of series to simulate"], [697, 2, 2, 0, "params", "Parameters to use when simulating the model."], [697, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.LS": [[702, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [703, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [704, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [705, 5, 1, 0, "distribution", "Set or gets the error distribution"], [706, 3, 1, 0, "fit", "Estimate model parameters"], [707, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [708, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [709, 5, 1, 0, "name", "The name of the model."], [710, 5, 1, 0, "num_params", "Returns the number of parameters"], [711, 3, 1, 0, "parameter_names", "List of parameters names"], [712, 3, 1, 0, "resids", "Compute model residuals"], [713, 3, 1, 0, "simulate", "Simulates data from a linear regression, AR or HAR models"], [714, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [715, 5, 1, 0, "volatility", "Set or gets the volatility process"], [716, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [717, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.LS.__init__": [[452, 2, 2, 0, "constant", "Flag whether the model should include a constant"], [452, 2, 2, 0, "distribution", "Error distribution to use in the model"], [452, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [452, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [452, 2, 2, 0, "volatility", "Volatility process to use in the model"], [452, 2, 2, 0, "x", "nobs by k element array containing exogenous regressors"], [452, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.LS.compute_param_cov": [[703, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [703, 2, 2, 0, "params", "Model parameters"], [703, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.LS.fit": [[706, 2, 2, 0, "backcast", "Value to use as backcast."], [706, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [706, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [706, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [706, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [706, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [706, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [706, 2, 2, 0, "starting_values", "Array of starting values to use."], [706, 2, 2, 0, "tol", "Tolerance for termination."], [706, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.LS.fix": [[707, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [707, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [707, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.LS.forecast": [[708, 2, 2, 0, "align", "Either 'origin' or 'target'."], [708, 2, 2, 0, "horizon", "Number of steps to forecast"], [708, 2, 2, 0, "method", "Method to use when producing the forecast."], [708, 2, 2, 0, "params", "Parameters required to forecast."], [708, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [708, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [708, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [708, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [708, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [708, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.LS.resids": [[712, 2, 2, 0, "params", "Model parameters"], [712, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [712, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.LS.simulate": [[713, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [713, 2, 2, 0, "initial_value", "Either a scalar value or max(lags) array set of initial values to use when initializing the model."], [713, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [713, 2, 2, 0, "nobs", "Length of series to simulate"], [713, 2, 2, 0, "params", "Parameters to use when simulating the model."], [713, 2, 2, 0, "x", "nobs + burn by k array of exogenous variables to include in the simulation."]], "arch.univariate.MIDASHyperbolic": [[718, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [719, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [720, 3, 1, 0, "bounds", "Returns bounds for parameters"], [721, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [722, 3, 1, 0, "constraints", "Constraints"], [723, 3, 1, 0, "forecast", "Forecast volatility from the model"], [724, 5, 1, 0, "name", "The name of the volatility process"], [725, 5, 1, 0, "num_params", "The number of parameters in the model"], [726, 3, 1, 0, "parameter_names", "Names of model parameters"], [727, 3, 1, 0, "simulate", "Simulate data from the model"], [728, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [729, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [730, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [731, 3, 1, 0, "update", "Compute the variance for a single observation"], [732, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [733, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [734, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.MIDASHyperbolic.__init__": [[453, 2, 2, 0, "asym", "Flag indicating whether to include an asymmetric term"], [453, 2, 2, 0, "m", "Length of maximum lag to include in the model"]], "arch.univariate.MIDASHyperbolic.backcast": [[718, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.MIDASHyperbolic.backcast_transform": [[719, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.MIDASHyperbolic.bounds": [[720, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.MIDASHyperbolic.compute_variance": [[721, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [721, 2, 2, 0, "parameters", "Model parameters"], [721, 2, 2, 0, "resids", "Vector of mean zero residuals"], [721, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [721, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.MIDASHyperbolic.forecast": [[723, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [723, 2, 2, 0, "horizon", "Forecast horizon."], [723, 2, 2, 0, "method", "Method to use when producing the forecast."], [723, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [723, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [723, 2, 2, 0, "resids", "Residuals to use in the recursion"], [723, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [723, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [723, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [723, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.MIDASHyperbolic.simulate": [[727, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [727, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [727, 2, 2, 0, "nobs", "Number of data points to simulate"], [727, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [727, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.MIDASHyperbolic.starting_values": [[729, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.MIDASHyperbolic.update": [[731, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [731, 2, 2, 0, "index", "The numerical index of the variance to compute"], [731, 2, 2, 0, "parameters", "The variance model parameters"], [731, 2, 2, 0, "resids", "The residual array."], [731, 2, 2, 0, "sigma2", "The array containing the variances."], [731, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.MIDASHyperbolic.variance_bounds": [[733, 2, 2, 0, "power", "Power used in the model."], [733, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.Normal": [[735, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [736, 3, 1, 0, "cdf", "Cumulative distribution function"], [737, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [738, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [739, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are normally distributed, conditional on the variance"], [740, 3, 1, 0, "moment", "Moment of order n"], [741, 5, 1, 0, "name", "The name of the distribution"], [742, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [743, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [744, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [745, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [746, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [747, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.Normal.__init__": [[454, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [454, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.Normal.bounds": [[735, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.Normal.cdf": [[736, 2, 2, 0, "parameters", "Distribution parameters."], [736, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.Normal.loglikelihood": [[739, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [739, 2, 2, 0, "parameters", "The normal likelihood has no shape parameters."], [739, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [739, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.Normal.moment": [[740, 2, 2, 0, "n", "Order of moment"], [740, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.Normal.partial_moment": [[743, 2, 2, 0, "n", "Order of partial moment"], [743, 2, 2, 0, "parameters", "Distribution parameters."], [743, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.Normal.ppf": [[744, 2, 2, 0, "parameters", "Distribution parameters."], [744, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.Normal.simulate": [[746, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.Normal.starting_values": [[747, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.RiskMetrics2006": [[748, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [749, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [750, 3, 1, 0, "bounds", "Returns bounds for parameters"], [751, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [752, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [753, 3, 1, 0, "forecast", "Forecast volatility from the model"], [754, 5, 1, 0, "name", "The name of the volatility process"], [755, 5, 1, 0, "num_params", "The number of parameters in the model"], [756, 3, 1, 0, "parameter_names", "Names of model parameters"], [757, 3, 1, 0, "simulate", "Simulate data from the model"], [758, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [759, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [760, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [761, 3, 1, 0, "update", "Compute the variance for a single observation"], [762, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [763, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [764, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.RiskMetrics2006.__init__": [[455, 2, 2, 0, "kmax", "Number of components."], [455, 2, 2, 0, "rho", "Relative scale of adjacent cycles."], [455, 2, 2, 0, "tau0", "Length of long cycle."], [455, 2, 2, 0, "tau1", "Length of short cycle."]], "arch.univariate.RiskMetrics2006.backcast": [[748, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.RiskMetrics2006.backcast_transform": [[749, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.RiskMetrics2006.bounds": [[750, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.RiskMetrics2006.compute_variance": [[751, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [751, 2, 2, 0, "parameters", "Model parameters"], [751, 2, 2, 0, "resids", "Vector of mean zero residuals"], [751, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [751, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.RiskMetrics2006.forecast": [[753, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [753, 2, 2, 0, "horizon", "Forecast horizon."], [753, 2, 2, 0, "method", "Method to use when producing the forecast."], [753, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [753, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [753, 2, 2, 0, "resids", "Residuals to use in the recursion"], [753, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [753, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [753, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [753, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.RiskMetrics2006.simulate": [[757, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [757, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [757, 2, 2, 0, "nobs", "Number of data points to simulate"], [757, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [757, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.RiskMetrics2006.starting_values": [[759, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.RiskMetrics2006.update": [[761, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [761, 2, 2, 0, "index", "The numerical index of the variance to compute"], [761, 2, 2, 0, "parameters", "The variance model parameters"], [761, 2, 2, 0, "resids", "The residual array."], [761, 2, 2, 0, "sigma2", "The array containing the variances."], [761, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.RiskMetrics2006.variance_bounds": [[763, 2, 2, 0, "power", "Power used in the model."], [763, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.univariate.SkewStudent": [[765, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [766, 3, 1, 0, "cdf", "Cumulative distribution function"], [767, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [768, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [769, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are have a standardized (to have unit variance) Skew Student's t distribution, conditional on the variance."], [770, 3, 1, 0, "moment", "Moment of order n"], [771, 5, 1, 0, "name", "The name of the distribution"], [772, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [773, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [774, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [775, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [776, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [777, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.SkewStudent.__init__": [[456, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [456, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.SkewStudent.bounds": [[765, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.SkewStudent.cdf": [[766, 2, 2, 0, "parameters", "Distribution parameters."], [766, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.SkewStudent.loglikelihood": [[769, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [769, 2, 2, 0, "parameters", "Shape parameter of the skew-t distribution"], [769, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [769, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.SkewStudent.moment": [[770, 2, 2, 0, "n", "Order of moment"], [770, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.SkewStudent.partial_moment": [[773, 2, 2, 0, "n", "Order of partial moment"], [773, 2, 2, 0, "parameters", "Distribution parameters."], [773, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.SkewStudent.ppf": [[774, 2, 2, 0, "parameters", "Distribution parameters."], [774, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.SkewStudent.simulate": [[776, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.SkewStudent.starting_values": [[777, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.StudentsT": [[778, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [779, 3, 1, 0, "cdf", "Cumulative distribution function"], [780, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [781, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [782, 3, 1, 0, "loglikelihood", "Computes the log-likelihood of assuming residuals are have a standardized (to have unit variance) Student's t distribution, conditional on the variance."], [783, 3, 1, 0, "moment", "Moment of order n"], [784, 5, 1, 0, "name", "The name of the distribution"], [785, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [786, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [787, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [788, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [789, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [790, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.StudentsT.__init__": [[457, 2, 2, 0, "random_state", "Deprecated since version 5.0: random_state is deprecated."], [457, 2, 2, 0, "seed", "Random number generator instance or int to use."]], "arch.univariate.StudentsT.bounds": [[778, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.StudentsT.cdf": [[779, 2, 2, 0, "parameters", "Distribution parameters."], [779, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.StudentsT.loglikelihood": [[782, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [782, 2, 2, 0, "parameters", "Shape parameter of the t distribution"], [782, 2, 2, 0, "resids", "The residuals to use in the log-likelihood calculation"], [782, 2, 2, 0, "sigma2", "Conditional variances of resids"]], "arch.univariate.StudentsT.moment": [[783, 2, 2, 0, "n", "Order of moment"], [783, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.StudentsT.partial_moment": [[786, 2, 2, 0, "n", "Order of partial moment"], [786, 2, 2, 0, "parameters", "Distribution parameters."], [786, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.StudentsT.ppf": [[787, 2, 2, 0, "parameters", "Distribution parameters."], [787, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.StudentsT.simulate": [[789, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.StudentsT.starting_values": [[790, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.ZeroMean": [[791, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [792, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [793, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [794, 5, 1, 0, "distribution", "Set or gets the error distribution"], [795, 3, 1, 0, "fit", "Estimate model parameters"], [796, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [797, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [798, 5, 1, 0, "name", "The name of the model."], [799, 5, 1, 0, "num_params", "Returns the number of parameters"], [800, 3, 1, 0, "parameter_names", "List of parameters names"], [801, 3, 1, 0, "resids", "Compute model residuals"], [802, 3, 1, 0, "simulate", "Simulated data from a zero mean model"], [803, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [804, 5, 1, 0, "volatility", "Set or gets the volatility process"], [805, 5, 1, 0, "x", "Gets the value of the exogenous regressors in the model"], [806, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.ZeroMean.__init__": [[458, 2, 2, 0, "distribution", "Error distribution to use in the model"], [458, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [458, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters. If False, the model is estimated on the data without transformation."], [458, 2, 2, 0, "volatility", "Volatility process to use in the model"], [458, 2, 2, 0, "y", "nobs element vector containing the dependent variable"]], "arch.univariate.ZeroMean.compute_param_cov": [[792, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [792, 2, 2, 0, "params", "Model parameters"], [792, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.ZeroMean.fit": [[795, 2, 2, 0, "backcast", "Value to use as backcast."], [795, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [795, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [795, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [795, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [795, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [795, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [795, 2, 2, 0, "starting_values", "Array of starting values to use."], [795, 2, 2, 0, "tol", "Tolerance for termination."], [795, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.ZeroMean.fix": [[796, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [796, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [796, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.ZeroMean.forecast": [[797, 2, 2, 0, "align", "Either 'origin' or 'target'."], [797, 2, 2, 0, "horizon", "Number of steps to forecast"], [797, 2, 2, 0, "method", "Method to use when producing the forecast."], [797, 2, 2, 0, "params", "Parameters required to forecast."], [797, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [797, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [797, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [797, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [797, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [797, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.ZeroMean.resids": [[801, 2, 2, 0, "params", "Model parameters"], [801, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [801, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.ZeroMean.simulate": [[802, 2, 2, 0, "burn", "Number of values to simulate to initialize the model and remove dependence on initial values."], [802, 2, 2, 0, "initial_value", "This value is not used."], [802, 2, 2, 0, "initial_value_vol", "An array or scalar to use when initializing the volatility process."], [802, 2, 2, 0, "nobs", "Length of series to simulate"], [802, 2, 2, 0, "params", "Parameters to use when simulating the model."], [802, 2, 2, 0, "x", "This value is not used."]], "arch.univariate.arch_model": [[907, 2, 2, 0, "dist", "Name of the error distribution."], [907, 2, 2, 0, "hold_back", "Number of observations at the start of the sample to exclude when estimating model parameters."], [907, 2, 2, 0, "lags", "Either a scalar integer value indicating lag length or a list of integers specifying lag locations."], [907, 2, 2, 0, "mean", "Name of the mean model."], [907, 2, 2, 0, "o", "Lag order of the asymmetric innovation"], [907, 2, 2, 0, "p", "Lag order of the symmetric innovation"], [907, 2, 2, 0, "power", "Power to use with GARCH and related models"], [907, 2, 2, 0, "q", "Lag order of lagged volatility or equivalent"], [907, 2, 2, 0, "rescale", "Flag indicating whether to automatically rescale data if the scale of the data is likely to produce convergence issues when estimating model parameters."], [907, 2, 2, 0, "vol", "Name of the volatility model."], [907, 2, 2, 0, "x", "Exogenous regressors."], [907, 2, 2, 0, "y", "The dependent variable"]], "arch.univariate.base": [[459, 1, 1, 0, "ARCHModel", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [460, 1, 1, 0, "ARCHModelFixedResult", "Results for fixed parameters for an ARCHModel model"], [461, 1, 1, 0, "ARCHModelForecast", "Container for forecasts from an ARCH Model"], [462, 1, 1, 0, "ARCHModelForecastSimulation", "Container for a simulation or bootstrap-based forecasts from an ARCH Model"], [463, 1, 1, 0, "ARCHModelResult", "Results from estimation of an ARCHModel model"]], "arch.univariate.base.ARCHModel": [[807, 3, 1, 0, "bounds", "Construct bounds for parameters to use in non-linear optimization"], [808, 3, 1, 0, "compute_param_cov", "Computes parameter covariances using numerical derivatives."], [809, 3, 1, 0, "constraints", "Construct linear constraint arrays  for use in non-linear optimization"], [810, 5, 1, 0, "distribution", "Set or gets the error distribution"], [811, 3, 1, 0, "fit", "Estimate model parameters"], [812, 3, 1, 0, "fix", "Allows an ARCHModelFixedResult to be constructed from fixed parameters."], [813, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [814, 5, 1, 0, "name", "The name of the model."], [815, 5, 1, 0, "num_params", "Number of parameters in the model"], [816, 3, 1, 0, "parameter_names", "List of parameters names"], [817, 3, 1, 0, "resids", "Compute model residuals"], [818, 3, 1, 0, "simulate", ""], [819, 3, 1, 0, "starting_values", "Returns starting values for the mean model, often the same as the values returned from fit"], [820, 5, 1, 0, "volatility", "Set or gets the volatility process"], [821, 5, 1, 0, "y", "Returns the dependent variable"]], "arch.univariate.base.ARCHModel.__init__": [[459, 2, 2, "arch.univariate.base.ARCHModel", "distribution", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "hold_back", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "rescale", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "volatility", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."], [459, 2, 2, "arch.univariate.base.ARCHModel", "y", "Abstract base class for mean models in ARCH processes.  Specifies the conditional mean process."]], "arch.univariate.base.ARCHModel.compute_param_cov": [[808, 2, 2, 0, "backcast", "Value to use for pre-sample observations"], [808, 2, 2, 0, "params", "Model parameters"], [808, 2, 2, 0, "robust", "Flag indicating whether to use robust standard errors (True) or classic MLE (False)"]], "arch.univariate.base.ARCHModel.fit": [[811, 2, 2, 0, "backcast", "Value to use as backcast."], [811, 2, 2, 0, "cov_type", "Estimation method of parameter covariance."], [811, 2, 2, 0, "disp", "Either 'final' to print optimization result or 'off' to display nothing."], [811, 2, 2, 0, "first_obs", "First observation to use when estimating model"], [811, 2, 2, 0, "last_obs", "Last observation to use when estimating model"], [811, 2, 2, 0, "options", "Options to pass to scipy.optimize.minimize."], [811, 2, 2, 0, "show_warning", "Flag indicating whether convergence warnings should be shown."], [811, 2, 2, 0, "starting_values", "Array of starting values to use."], [811, 2, 2, 0, "tol", "Tolerance for termination."], [811, 2, 2, 0, "update_freq", "Frequency of iteration updates."]], "arch.univariate.base.ARCHModel.fix": [[812, 2, 2, 0, "first_obs", "First observation to use when fixing model"], [812, 2, 2, 0, "last_obs", "Last observation to use when fixing model"], [812, 2, 2, 0, "params", "User specified parameters to use when generating the result."]], "arch.univariate.base.ARCHModel.forecast": [[813, 2, 2, 0, "align", "Either 'origin' or 'target'."], [813, 2, 2, 0, "horizon", "Number of steps to forecast"], [813, 2, 2, 0, "method", "Method to use when producing the forecast."], [813, 2, 2, 0, "params", "Parameters required to forecast."], [813, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [813, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [813, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [813, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [813, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [813, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.base.ARCHModel.resids": [[817, 2, 2, 0, "params", "Model parameters"], [817, 2, 2, 0, "regressors", "Alternative regressor values to use when computing model residuals"], [817, 2, 2, 0, "y", "Alternative values to use when computing model residuals"]], "arch.univariate.base.ARCHModel.simulate": [[818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "burn", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "initial_value", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "initial_value_vol", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "nobs", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "params", ""], [818, 2, 2, "arch.univariate.base.ARCHModel.simulate", "x", ""]], "arch.univariate.base.ARCHModelFixedResult": [[822, 5, 1, 0, "aic", "Akaike Information Criteria"], [823, 3, 1, 0, "arch_lm_test", "ARCH LM test for conditional heteroskedasticity"], [824, 5, 1, 0, "bic", "Schwarz/Bayesian Information Criteria"], [825, 5, 1, 0, "conditional_volatility", "Estimated conditional volatility"], [826, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [827, 3, 1, 0, "hedgehog_plot", "Plot forecasts from estimated model"], [828, 5, 1, 0, "loglikelihood", "Model loglikelihood"], [829, 5, 1, 0, "model", "Model instance used to produce the fit"], [830, 5, 1, 0, "nobs", "Number of data points used to estimate model"], [831, 5, 1, 0, "num_params", "Number of parameters in model"], [832, 5, 1, 0, "params", "Model Parameters"], [833, 3, 1, 0, "plot", "Plot standardized residuals and conditional volatility"], [834, 5, 1, 0, "resid", "Model residuals"], [835, 5, 1, 0, "std_resid", "Residuals standardized by conditional volatility"], [836, 3, 1, 0, "summary", "Constructs a summary of the results from a fit model."]], "arch.univariate.base.ARCHModelFixedResult.__init__": [[460, 2, 2, 0, "dep_var", "Dependent variable"], [460, 2, 2, 0, "is_pandas", "Whether the original input was pandas"], [460, 2, 2, 0, "loglikelihood", "Loglikelihood at specified parameters"], [460, 2, 2, 0, "model", "The model object used to estimate the parameters"], [460, 2, 2, 0, "names", "Model parameter names"], [460, 2, 2, 0, "params", "Estimated parameters"], [460, 2, 2, 0, "resid", "Residuals from model."], [460, 2, 2, 0, "volatility", "Conditional volatility from model"]], "arch.univariate.base.ARCHModelFixedResult.arch_lm_test": [[823, 2, 2, 0, "lags", "Number of lags to include in the model."], [823, 2, 2, 0, "standardized", "Flag indicating to test the model residuals divided by their conditional standard deviations."]], "arch.univariate.base.ARCHModelFixedResult.forecast": [[826, 2, 2, 0, "align", "Either 'origin' or 'target'."], [826, 2, 2, 0, "horizon", "Number of steps to forecast"], [826, 2, 2, 0, "method", "Method to use when producing the forecast."], [826, 2, 2, 0, "params", "Alternative parameters to use."], [826, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [826, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [826, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [826, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [826, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [826, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.base.ARCHModelFixedResult.hedgehog_plot": [[827, 2, 2, 0, "horizon", "Number of steps to forecast"], [827, 2, 2, 0, "method", "Method to use when producing the forecast."], [827, 2, 2, 0, "params", "Alternative parameters to use."], [827, 2, 2, 0, "plot_type", "Quantity to plot, the forecast volatility or the forecast mean"], [827, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [827, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [827, 2, 2, 0, "step", "Non-negative number of forecasts to skip between spines"]], "arch.univariate.base.ARCHModelFixedResult.plot": [[833, 2, 2, 0, "annualize", "String containing frequency of data that indicates plot should contain annualized volatility."], [833, 2, 2, 0, "scale", "Value to use when scaling returns to annualize."]], "arch.univariate.base.ARCHModelForecast": [[837, 5, 1, 0, "mean", "Forecast values for the conditional mean of the process"], [838, 5, 1, 0, "residual_variance", "Forecast values for the conditional variance of the residuals"], [839, 5, 1, 0, "simulations", "Detailed simulation results if using a simulation-based method"], [840, 5, 1, 0, "variance", "Forecast values for the conditional variance of the process"]], "arch.univariate.base.ARCHModelForecast.__init__": [[461, 2, 2, 0, "align", ""], [461, 2, 2, 0, "index", ""], [461, 2, 2, 0, "mean", ""], [461, 2, 2, "arch.univariate.base.ARCHModelForecast", "reindex", "Container for forecasts from an ARCH Model"], [461, 2, 2, 0, "residual_variance", ""], [461, 2, 2, 0, "simulated_paths", ""], [461, 2, 2, 0, "simulated_residual_variances", ""], [461, 2, 2, 0, "simulated_residuals", ""], [461, 2, 2, 0, "simulated_variances", ""], [461, 2, 2, "arch.univariate.base.ARCHModelForecast", "start_index", "Container for forecasts from an ARCH Model"], [461, 2, 2, 0, "variance", ""]], "arch.univariate.base.ARCHModelForecastSimulation": [[841, 5, 1, 0, "index", "The index aligned to dimension 0 of the simulation paths"], [842, 5, 1, 0, "residual_variances", "Simulated variance of the residuals"], [843, 5, 1, 0, "residuals", "Simulated residuals used to produce the values"], [844, 5, 1, 0, "values", "The values of the process"], [845, 5, 1, 0, "variances", "Simulated variances of the values"]], "arch.univariate.base.ARCHModelForecastSimulation.__init__": [[462, 2, 2, 0, "index", ""], [462, 2, 2, 0, "residual_variances", ""], [462, 2, 2, 0, "residuals", ""], [462, 2, 2, 0, "values", ""], [462, 2, 2, 0, "variances", ""]], "arch.univariate.base.ARCHModelResult": [[846, 5, 1, 0, "aic", "Akaike Information Criteria"], [847, 3, 1, 0, "arch_lm_test", "ARCH LM test for conditional heteroskedasticity"], [848, 5, 1, 0, "bic", "Schwarz/Bayesian Information Criteria"], [849, 5, 1, 0, "conditional_volatility", "Estimated conditional volatility"], [850, 3, 1, 0, "conf_int", "Parameter confidence intervals"], [851, 5, 1, 0, "convergence_flag", "scipy.optimize.minimize result flag"], [852, 5, 1, 0, "fit_start", "Start of sample used to estimate parameters"], [853, 5, 1, 0, "fit_stop", "End of sample used to estimate parameters"], [854, 3, 1, 0, "forecast", "Construct forecasts from estimated model"], [855, 3, 1, 0, "hedgehog_plot", "Plot forecasts from estimated model"], [856, 5, 1, 0, "loglikelihood", "Model loglikelihood"], [857, 5, 1, 0, "model", "Model instance used to produce the fit"], [858, 5, 1, 0, "nobs", "Number of data points used to estimate model"], [859, 5, 1, 0, "num_params", "Number of parameters in model"], [860, 5, 1, 0, "optimization_result", "Information about the convergence of the loglikelihood optimization"], [861, 5, 1, 0, "param_cov", "Parameter covariance"], [862, 5, 1, 0, "params", "Model Parameters"], [863, 3, 1, 0, "plot", "Plot standardized residuals and conditional volatility"], [864, 5, 1, 0, "pvalues", "Array of p-values for the t-statistics"], [865, 5, 1, 0, "resid", "Model residuals"], [866, 5, 1, 0, "rsquared", "R-squared"], [867, 5, 1, 0, "rsquared_adj", "Degree of freedom adjusted R-squared"], [868, 5, 1, 0, "scale", "The scale applied to the original data before estimating the model."], [869, 5, 1, 0, "std_err", "Array of parameter standard errors"], [870, 5, 1, 0, "std_resid", "Residuals standardized by conditional volatility"], [871, 3, 1, 0, "summary", "Constructs a summary of the results from a fit model."], [872, 5, 1, 0, "tvalues", "Array of t-statistics testing the null that the coefficient are 0"]], "arch.univariate.base.ARCHModelResult.__init__": [[463, 2, 2, 0, "cov_type", "String describing the covariance estimator used"], [463, 2, 2, 0, "dep_var", "Dependent variable"], [463, 2, 2, 0, "fit_start", "Integer index of the first observation used to fit the model"], [463, 2, 2, 0, "fit_stop", "Integer index of the last observation used to fit the model using slice notation fit_start:fit_stop"], [463, 2, 2, 0, "is_pandas", "Whether the original input was pandas"], [463, 2, 2, 0, "loglikelihood", "Loglikelihood at estimated parameters"], [463, 2, 2, 0, "model", "The model object used to estimate the parameters"], [463, 2, 2, 0, "names", "Model parameter names"], [463, 2, 2, 0, "optim_output", "Result of log-likelihood optimization"], [463, 2, 2, 0, "param_cov", "Estimated variance-covariance matrix of params."], [463, 2, 2, 0, "params", "Estimated parameters"], [463, 2, 2, 0, "r2", "Model R-squared"], [463, 2, 2, 0, "resid", "Residuals from model."], [463, 2, 2, 0, "volatility", "Conditional volatility from model"]], "arch.univariate.base.ARCHModelResult.arch_lm_test": [[847, 2, 2, 0, "lags", "Number of lags to include in the model."], [847, 2, 2, 0, "standardized", "Flag indicating to test the model residuals divided by their conditional standard deviations."]], "arch.univariate.base.ARCHModelResult.conf_int": [[850, 2, 2, 0, "alpha", "Size (prob.) to use when constructing the confidence interval."]], "arch.univariate.base.ARCHModelResult.forecast": [[854, 2, 2, 0, "align", "Either 'origin' or 'target'."], [854, 2, 2, 0, "horizon", "Number of steps to forecast"], [854, 2, 2, 0, "method", "Method to use when producing the forecast."], [854, 2, 2, 0, "params", "Alternative parameters to use."], [854, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [854, 2, 2, 0, "reindex", "Whether to reindex the forecasts to have the same dimension as the series being forecast."], [854, 2, 2, 0, "rng", "Custom random number generator to use in simulation-based forecasts. Must produce random samples using the syntax rng(size) where size the 2-element tuple (simulations, horizon)."], [854, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [854, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [854, 2, 2, 0, "x", "Values to use for exogenous regressors if any are included in the model."]], "arch.univariate.base.ARCHModelResult.hedgehog_plot": [[855, 2, 2, 0, "horizon", "Number of steps to forecast"], [855, 2, 2, 0, "method", "Method to use when producing the forecast."], [855, 2, 2, 0, "params", "Alternative parameters to use."], [855, 2, 2, 0, "plot_type", "Quantity to plot, the forecast volatility or the forecast mean"], [855, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [855, 2, 2, 0, "start", "An integer, datetime or str indicating the first observation to produce the forecast for."], [855, 2, 2, 0, "step", "Non-negative number of forecasts to skip between spines"]], "arch.univariate.base.ARCHModelResult.plot": [[863, 2, 2, 0, "annualize", "String containing frequency of data that indicates plot should contain annualized volatility."], [863, 2, 2, 0, "scale", "Value to use when scaling returns to annualize."]], "arch.univariate.distribution": [[464, 1, 1, 0, "Distribution", "Template for subclassing only"]], "arch.univariate.distribution.Distribution": [[873, 3, 1, 0, "bounds", "Parameter bounds for use in optimization."], [874, 3, 1, 0, "cdf", "Cumulative distribution function"], [875, 3, 1, 0, "constraints", "Construct arrays to use in constrained optimization."], [876, 5, 1, 0, "generator", "The NumPy Generator or RandomState attached to the distribution"], [877, 3, 1, 0, "loglikelihood", "Loglikelihood evaluation."], [878, 3, 1, 0, "moment", "Moment of order n"], [879, 5, 1, 0, "name", "The name of the distribution"], [880, 3, 1, 0, "parameter_names", "Names of distribution shape parameters"], [881, 3, 1, 0, "partial_moment", "Order n lower partial moment from -inf to z"], [882, 3, 1, 0, "ppf", "Inverse cumulative density function (ICDF)"], [883, 5, 1, 0, "random_state", "The NumPy RandomState attached to the distribution"], [884, 3, 1, 0, "simulate", "Simulates i.i.d. draws from the distribution"], [885, 3, 1, 0, "starting_values", "Construct starting values for use in optimization."]], "arch.univariate.distribution.Distribution.__init__": [[464, 2, 2, "arch.univariate.distribution.Distribution", "random_state", "Template for subclassing only"], [464, 2, 2, "arch.univariate.distribution.Distribution", "seed", "Template for subclassing only"]], "arch.univariate.distribution.Distribution.bounds": [[873, 2, 2, 0, "resids", "Residuals to use when computing the bounds"]], "arch.univariate.distribution.Distribution.cdf": [[874, 2, 2, 0, "parameters", "Distribution parameters."], [874, 2, 2, 0, "resids", "Values at which to evaluate the cdf"]], "arch.univariate.distribution.Distribution.loglikelihood": [[877, 2, 2, 0, "individual", "Flag indicating whether to return the vector of individual log likelihoods (True) or the sum (False)"], [877, 2, 2, 0, "parameters", "Distribution shape parameters"], [877, 2, 2, 0, "resids", "nobs array of model residuals"], [877, 2, 2, 0, "sigma2", "nobs array of conditional variances"]], "arch.univariate.distribution.Distribution.moment": [[878, 2, 2, 0, "n", "Order of moment"], [878, 2, 2, 0, "parameters", "Distribution parameters."]], "arch.univariate.distribution.Distribution.partial_moment": [[881, 2, 2, 0, "n", "Order of partial moment"], [881, 2, 2, 0, "parameters", "Distribution parameters."], [881, 2, 2, 0, "z", "Upper bound for partial moment integral"]], "arch.univariate.distribution.Distribution.ppf": [[882, 2, 2, 0, "parameters", "Distribution parameters."], [882, 2, 2, 0, "pits", "Probability-integral-transformed values in the interval (0, 1)."]], "arch.univariate.distribution.Distribution.simulate": [[884, 2, 2, 0, "parameters", "Distribution parameters"]], "arch.univariate.distribution.Distribution.starting_values": [[885, 2, 2, 0, "std_resid", "Estimated standardized residuals to use in computing starting values for the shape parameter"]], "arch.univariate.recursions": [[465, 1, 1, 0, "VolatilityUpdater", "Base class that all volatility updaters must inherit from."]], "arch.univariate.recursions.VolatilityUpdater": [[886, 3, 1, 0, "initialize_update", ""]], "arch.univariate.recursions.VolatilityUpdater.initialize_update": [[886, 2, 2, "arch.univariate.recursions.VolatilityUpdater.initialize_update", "backcast", ""], [886, 2, 2, "arch.univariate.recursions.VolatilityUpdater.initialize_update", "nobs", ""], [886, 2, 2, "arch.univariate.recursions.VolatilityUpdater.initialize_update", "parameters", ""]], "arch.univariate.volatility": [[466, 1, 1, 0, "VarianceForecast", "Container for variance forecasts"], [467, 1, 1, 0, "VolatilityProcess", "Abstract base class for ARCH models.  Allows the conditional mean model to be specified separately from the conditional variance, even though parameters are estimated jointly."]], "arch.univariate.volatility.VarianceForecast": [[887, 5, 1, 0, "forecast_paths", "The variance forecast paths"], [888, 5, 1, 0, "forecasts", "The variance forecasts"], [889, 5, 1, 0, "shocks", "The shocks used to construct the variance forecast paths"]], "arch.univariate.volatility.VarianceForecast.__init__": [[466, 2, 2, 0, "forecast_paths", "Array containing the forecast paths if using simulation or bootstrap"], [466, 2, 2, 0, "forecasts", "Array containing the forecasts"], [466, 2, 2, 0, "shocks", "Array containing the shocks used to generate the forecast paths if using simulation or bootstrap"]], "arch.univariate.volatility.VolatilityProcess": [[890, 3, 1, 0, "backcast", "Construct values for backcasting to start the recursion"], [891, 3, 1, 0, "backcast_transform", "Transformation to apply to user-provided backcast values"], [892, 3, 1, 0, "bounds", "Returns bounds for parameters"], [893, 3, 1, 0, "compute_variance", "Compute the variance for the ARCH model"], [894, 3, 1, 0, "constraints", "Construct parameter constraints arrays for parameter estimation"], [895, 3, 1, 0, "forecast", "Forecast volatility from the model"], [896, 5, 1, 0, "name", "The name of the volatility process"], [897, 5, 1, 0, "num_params", "The number of parameters in the model"], [898, 3, 1, 0, "parameter_names", "Names of model parameters"], [899, 3, 1, 0, "simulate", "Simulate data from the model"], [900, 5, 1, 0, "start", "Index to use to start variance subarray selection"], [901, 3, 1, 0, "starting_values", "Returns starting values for the ARCH model"], [902, 5, 1, 0, "stop", "Index to use to stop variance subarray selection"], [903, 3, 1, 0, "update", "Compute the variance for a single observation"], [904, 5, 1, 0, "updateable", "Flag indicating that the volatility process supports update"], [905, 3, 1, 0, "variance_bounds", "Construct loose bounds for conditional variances."], [906, 5, 1, 0, "volatility_updater", "Get the volatility updater associated with the volatility process"]], "arch.univariate.volatility.VolatilityProcess.backcast": [[890, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.volatility.VolatilityProcess.backcast_transform": [[891, 2, 2, 0, "backcast", "User-provided backcast that approximates sigma2[0]."]], "arch.univariate.volatility.VolatilityProcess.bounds": [[892, 2, 2, 0, "resids", "Vector of (approximate) residuals"]], "arch.univariate.volatility.VolatilityProcess.compute_variance": [[893, 2, 2, 0, "backcast", "Value to use when initializing ARCH recursion."], [893, 2, 2, 0, "parameters", "Model parameters"], [893, 2, 2, 0, "resids", "Vector of mean zero residuals"], [893, 2, 2, 0, "sigma2", "Array with same size as resids to store the conditional variance"], [893, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.volatility.VolatilityProcess.forecast": [[895, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [895, 2, 2, 0, "horizon", "Forecast horizon."], [895, 2, 2, 0, "method", "Method to use when producing the forecast."], [895, 2, 2, 0, "parameters", "Parameters required to forecast the volatility model"], [895, 2, 2, 0, "random_state", "NumPy RandomState instance to use when method is 'bootstrap'"], [895, 2, 2, 0, "resids", "Residuals to use in the recursion"], [895, 2, 2, 0, "rng", "Callable random number generator required if method is 'simulation'."], [895, 2, 2, 0, "simulations", "Number of simulations to run when computing the forecast using either simulation or bootstrap."], [895, 2, 2, 0, "start", "Index of the first observation to use as the starting point for the forecast."], [895, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.volatility.VolatilityProcess.simulate": [[899, 2, 2, 0, "burn", "Number of additional observations to generate when initializing the simulation"], [899, 2, 2, 0, "initial_value", "Scalar or array of initial values to use when initializing the simulation"], [899, 2, 2, 0, "nobs", "Number of data points to simulate"], [899, 2, 2, 0, "parameters", "Parameters required to simulate the volatility model"], [899, 2, 2, 0, "rng", "Callable function that takes a single integer input and returns a vector of random numbers"]], "arch.univariate.volatility.VolatilityProcess.starting_values": [[901, 2, 2, 0, "resids", "Array of (approximate) residuals to use when computing starting values"]], "arch.univariate.volatility.VolatilityProcess.update": [[903, 2, 2, 0, "backcast", "Value to use when initializing the recursion"], [903, 2, 2, 0, "index", "The numerical index of the variance to compute"], [903, 2, 2, 0, "parameters", "The variance model parameters"], [903, 2, 2, 0, "resids", "The residual array."], [903, 2, 2, 0, "sigma2", "The array containing the variances."], [903, 2, 2, 0, "var_bounds", "Array containing columns of lower and upper bounds"]], "arch.univariate.volatility.VolatilityProcess.variance_bounds": [[905, 2, 2, 0, "power", "Power used in the model."], [905, 2, 2, 0, "resids", "Approximate residuals to use to compute the lower and upper bounds on the conditional variance"]], "arch.utility": [[916, 0, 0, 1, "testing", ""]], "arch.utility.testing": [[916, 1, 1, 0, "WaldTestStatistic", "Test statistic holder for Wald-type tests"]], "arch.utility.testing.WaldTestStatistic": [[916, 5, 1, 0, "critical_values", "Critical values test for common test sizes"], [916, 5, 1, 0, "null", "Null hypothesis"], [916, 5, 1, 0, "pval", "P-value of test statistic"], [916, 5, 1, 0, "stat", "Test statistic"]], "arch.utility.testing.WaldTestStatistic.__init__": [[916, 2, 2, 0, "alternative", "A statement of the test's alternative hypothesis"], [916, 2, 2, 0, "df", "Degree of freedom."], [916, 2, 2, 0, "name", "Name of test"], [916, 2, 2, 0, "null", "A statement of the test's null hypothesis"], [916, 2, 2, 0, "stat", "The test statistic"]]}, "objnames": {"0": ["py", "module", "Python module"], "1": ["py", "class", "Python class"], "2": ["py", "parameter", "Python parameter"], "3": ["py", "method", "Python method"], "4": ["py", "attribute", "Python attribute"], "5": ["py", "property", "Python property"], "6": ["py", "function", "Python function"]}, "objtypes": {"0": "py:module", "1": "py:class", "2": "py:parameter", "3": "py:method", "4": "py:attribute", "5": "py:property", "6": "py:function"}, "terms": {"": [3, 4, 5, 8, 10, 17, 21, 22, 23, 32, 36, 37, 38, 47, 51, 52, 53, 62, 66, 67, 68, 77, 81, 82, 83, 87, 88, 94, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 121, 131, 145, 155, 165, 175, 185, 195, 205, 215, 225, 235, 245, 257, 258, 264, 267, 268, 271, 275, 276, 278, 286, 289, 290, 367, 381, 415, 433, 434, 437, 456, 457, 508, 525, 541, 690, 706, 769, 782, 795, 811, 907, 911, 912, 913, 916], "0": [3, 4, 5, 6, 7, 8, 9, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 94, 95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 250, 252, 259, 261, 271, 275, 276, 277, 278, 279, 280, 282, 287, 288, 290, 367, 381, 415, 430, 433, 434, 437, 438, 440, 441, 444, 445, 446, 448, 449, 451, 453, 454, 456, 457, 469, 473, 485, 488, 491, 502, 506, 508, 510, 516, 523, 525, 527, 532, 539, 541, 543, 548, 554, 557, 568, 571, 574, 585, 588, 591, 602, 605, 608, 620, 623, 626, 637, 640, 643, 654, 658, 664, 665, 666, 670, 673, 684, 688, 690, 692, 697, 704, 706, 708, 713, 719, 722, 733, 737, 743, 744, 745, 749, 752, 763, 767, 773, 774, 775, 780, 786, 787, 788, 793, 795, 797, 802, 809, 811, 813, 827, 833, 841, 850, 855, 863, 868, 872, 875, 881, 882, 883, 891, 894, 905, 907, 911, 912, 913, 914, 915], "00": [434, 913], "000": [271, 277, 433, 434, 907, 911, 912, 914, 915], "0000": [278, 911, 914], "00000": 3, "000000": [3, 433, 434, 913], "000047": 3, "000056": [], "00006413": [], "000067": [], "000081": 3, "00012825": [], "000185": 433, "0002565": [], "000301": [], "000367": 3, "000513": [], "000621": 433, "000635": 3, "000653": [], "001": [434, 907, 912, 914], "00102601": [], "001643": 3, "001786": [], "001e": 915, "002": 434, "00205201": [], "002868": 913, "002906": 3, "002e": 914, "003": 912, "003014": [], "003419": 911, "003536": 3, "003e": 914, "004": [271, 434], "00410403": [], "005": 271, "0059": 276, "006": [271, 434], "007": [433, 434], "00820805": [], "009": [434, 912], "01": [433, 437, 451, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 813, 826, 827, 833, 854, 855, 863, 911, 913, 914, 915], "0100": 914, "010188": 913, "010730": [], "011e": 914, "012": 434, "0128": 277, "013": [271, 434], "013400": 915, "013745": [], "014": 271, "0143": 914, "014915": 3, "015": 914, "0152": 915, "0156": 907, "016": 914, "01641611": [], "017": [434, 914], "0175": 914, "0181": 911, "01861": 911, "0189": 914, "019497": 915, "019569": 3, "0196": 914, "02": [907, 911, 912, 914, 915], "020": 434, "020000": [3, 434], "0201": 914, "020830": 88, "02096168": 907, "0214": 915, "0216": 914, "021e": 914, "022413": 915, "0232": 914, "0235": 914, "0236": 914, "024": 434, "0248": 434, "0249": 912, "024e": 915, "025": 434, "025002": 911, "025211": 911, "0258": 914, "025e": [], "026": [], "0262": 912, "026e": 914, "0271": 275, "028614": 915, "029": 434, "029365": 914, "03": [434, 907, 911, 912, 913, 914, 915], "030": [434, 914], "030000": [3, 434], "030e": 914, "031": [], "0318": 912, "031e": [], "0323": 914, "032817": [], "03283221": [], "033458": [], "0338": 911, "034": 271, "036104": 914, "036474e": 3, "036812": 911, "036986": 914, "037": [911, 914], "037100": [], "0376": 915, "03764756": [], "038": 434, "0383": 434, "039": [], "0393": 912, "039316": 3, "04": [434, 437, 907, 911, 912, 913, 914, 915], "040": 434, "040157": [], "040255": 911, "040928": 914, "041616": 914, "042652": 911, "043704": 915, "0440": 434, "044344": 914, "044374": 914, "0447": 276, "044e": 912, "045": [430, 914], "046437": 914, "0465": 914, "046682": 914, "047683": 914, "047e": 914, "048082": [], "048516": 914, "049": [], "0493": 912, "049454": 88, "0496": 911, "0499": 912, "05": [3, 250, 252, 259, 261, 434, 437, 438, 802, 850, 911, 912, 913, 914, 915], "050": [], "050049": 915, "050102": 913, "0509": 911, "0510": 434, "051295": 913, "051367": 911, "051e": 914, "052": 911, "0525": 434, "052e": 911, "0531": 907, "053126": 3, "054077": 913, "055327": 913, "055806": 914, "056353": 913, "0564": 914, "056438": 914, "056e": 912, "057987": 914, "058": 912, "058028": 913, "058e": 914, "059335": 913, "06": [433, 434, 437, 911, 913, 914, 915], "0600": 914, "060000": [3, 434], "061": 271, "06111255": [], "0612": 912, "062e": 911, "063016": 911, "0632": 912, "063518": [], "063763": [], "063e": 914, "064889": 914, "064980": 914, "064e": 912, "065": 434, "066": 914, "066428": [], "066465": [], "068": 912, "069": 912, "07": [3, 516, 532, 548, 697, 713, 833, 863, 911, 913, 914, 915], "070": [271, 911], "070000": [3, 434], "071": 911, "07138907": 907, "0730": 914, "073e": 914, "07474930802459016": 10, "075": 911, "075802": 914, "076e": [912, 914], "077": 434, "077415": 914, "0785": [], "0788": 914, "079": [434, 914], "08": [911, 913, 914, 915], "081665": 911, "081e": [912, 915], "0822": 275, "083e": 914, "084": [434, 911], "084042": 915, "08413908": 911, "0843": 914, "084669": 913, "084e": 914, "085": 451, "085003": 913, "085627": 914, "085678": 913, "085786": 913, "085836e": 3, "0859": 914, "086e": 914, "087323": 911, "0879": 907, "087958": 914, "087e": 914, "088": 434, "088454": 913, "088783": 913, "089512": 913, "089593": 913, "089958": [], "09": [911, 912, 914, 915], "090": 434, "090088": 915, "091564": 911, "091e": 914, "092216": 913, "092541": 913, "093": [], "0931": 275, "093324": 913, "093378": 913, "094850": 911, "095": [434, 912], "097192": 915, "09760149": 907, "098e": 912, "099e": 912, "0rc1": [91, 98], "0th": [510, 527, 543, 692, 708, 797, 813, 826, 854], "0x7f30167fc610": 915, "0x7fdf4c639d50": [], "1": [1, 3, 4, 5, 6, 7, 8, 9, 10, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 87, 88, 89, 94, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 120, 122, 130, 132, 144, 146, 154, 156, 164, 166, 174, 176, 184, 186, 194, 196, 204, 206, 214, 216, 224, 226, 234, 236, 244, 246, 250, 251, 252, 259, 261, 271, 275, 276, 277, 278, 279, 280, 282, 284, 287, 290, 354, 375, 381, 394, 402, 411, 419, 430, 433, 434, 437, 438, 439, 440, 441, 444, 445, 446, 448, 450, 451, 453, 455, 456, 475, 492, 508, 510, 516, 525, 527, 532, 541, 543, 548, 558, 575, 592, 609, 627, 644, 660, 664, 665, 668, 674, 690, 692, 697, 706, 708, 713, 722, 723, 739, 743, 744, 753, 769, 773, 774, 782, 786, 787, 795, 797, 802, 811, 813, 825, 826, 827, 849, 854, 855, 868, 881, 882, 895, 907, 908, 911, 912, 913, 914, 915], "10": [3, 10, 87, 248, 271, 280, 402, 419, 430, 433, 434, 437, 451, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 911, 913, 914, 915], "100": [4, 5, 6, 7, 8, 9, 11, 12, 26, 27, 41, 42, 56, 57, 71, 72, 87, 88, 89, 95, 271, 277, 278, 437, 440, 441, 442, 451, 452, 458, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 826, 854, 907, 911, 912, 913, 914, 915], "1000": [3, 4, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 89, 95, 250, 251, 252, 271, 446, 475, 492, 510, 516, 527, 532, 543, 548, 558, 575, 592, 609, 627, 644, 674, 692, 697, 708, 713, 723, 753, 797, 802, 813, 826, 827, 854, 855, 895, 911, 914], "100449": 911, "100e": 914, "101": 434, "102": [433, 510, 527, 543, 692, 708, 797, 813, 826, 854], "1022": 914, "10290": 907, "102e": 912, "103": 914, "10315": 907, "103377": 911, "103566": 911, "104058": [], "105": 914, "105762": 3, "10596": 914, "105e": 914, "106778": 3, "106780": 914, "107": [271, 911], "107e": 915, "1080": 10, "1081": 10, "108e": [], "109": 434, "109586": [], "1097": [249, 251], "109e": [912, 915], "11": [3, 96, 271, 282, 287, 290, 433, 434, 907, 911, 913, 914, 915], "110": 907, "110848": 913, "1109": [3, 434], "111": 434, "112205": 913, "1126": [249, 251], "113": [434, 912], "1131": [], "11376726": [], "113994": 3, "114": [433, 434], "1141": 1, "114497": 913, "1147": 911, "115": 3, "1154": [], "115886": 913, "1164": 1, "117": [912, 914], "117323": 914, "117e": [], "118": [], "118124": 913, "1186": 434, "119": 282, "1194": 434, "119545": 913, "11e": 434, "12": [3, 4, 9, 87, 88, 97, 271, 275, 276, 277, 278, 279, 282, 287, 433, 434, 437, 833, 863, 907, 911, 912, 913, 914, 915], "120": [271, 278], "120028836": 10, "1204": 434, "120575": 911, "120e": 911, "1219": 914, "121e": [911, 915], "122126": 3, "122332": [], "1227": [275, 278], "1233": 912, "1234": [5, 6, 7, 8, 9, 451], "1237": [249, 252, 912], "124": [912, 914], "1244": 434, "124684": 915, "125": 914, "126": 914, "1265": 915, "128": 914, "128042": 911, "1282": [249, 252], "129129894": 914, "129620": 3, "13": [3, 248, 271, 430, 433, 434, 911, 913, 914], "130": [434, 914], "130000": [3, 434], "131": 271, "132e": 914, "133": 912, "134": 911, "134477": [], "134496": 911, "1345": 914, "13456": 914, "13495": 914, "134e": 912, "1356": [278, 911], "13608": 914, "1363": 434, "13641": 914, "13655": 914, "13688": 914, "136e": 912, "137": 914, "1370": 279, "137307": [], "13829": 914, "13869": 914, "13881": 914, "139": [911, 914], "1390": [], "13907": 914, "14": [3, 88, 271, 433, 434, 455, 907, 911, 912, 913, 914, 915], "140": [271, 911, 912], "140000": [3, 434], "140e": 907, "142": 911, "143": [282, 911, 914], "143e": [], "144492": 911, "145197": 911, "145e": 914, "146083": 434, "147": [277, 280, 912], "1473": 277, "148": 912, "148534": 88, "148e": 915, "149": 914, "149e": 914, "15": [3, 278, 280, 433, 434, 911, 913, 914], "1511835327055": 914, "151187114983": 914, "151305": [], "152": 912, "153": [912, 914], "154": 914, "1547": 914, "154e": 914, "155": [907, 914], "156": 912, "1560": 455, "156e": 914, "157": 912, "1575": 911, "157e": 914, "158": 912, "158148": 915, "158558": 911, "159": [277, 280], "16": [3, 271, 433, 434, 907, 911, 912, 913, 914, 915], "160": 271, "160943": 911, "161": 271, "161e": 915, "162": 911, "16284144": [], "163": 907, "163e": 914, "16403": 915, "16436": 915, "165": 290, "165736": 911, "166": [434, 915], "166759": 3, "167": [271, 275, 278], "16804": 913, "1696": 434, "17": [3, 5, 433, 434, 911, 913, 914], "170": [], "1707": 914, "171": 1, "1715": 914, "17165": 913, "172": 912, "1721": 914, "174": [], "174416": 3, "174675": [], "174715": [], "176864": 913, "176e": 915, "178": 277, "178521515934": 914, "178598": 914, "178617397159": 914, "178691": 913, "17896": 914, "17916": 914, "17919": 914, "1798": 914, "18": [3, 248, 434, 510, 527, 543, 692, 708, 797, 813, 911, 913, 914], "180": 271, "180162": 913, "180e": 912, "18165": 914, "182043": 913, "183": 911, "1831": 914, "183441": 913, "1838": 914, "183e": 907, "184": 912, "184152": 911, "184553": [], "184688": [], "185": [1, 433], "185374": 913, "185e": 914, "186358": 911, "186541": 914, "187": [], "18739146": 911, "187852": [], "188": 912, "189": [1, 912], "189201902": 914, "189875": 911, "19": [1, 3, 276, 434, 510, 527, 543, 664, 692, 708, 743, 773, 786, 797, 813, 826, 854, 881, 911, 912, 913, 914], "190": [912, 914], "19070924": 911, "191132": [3, 434], "1919": 430, "191e": 911, "1921": 914, "193": 290, "1932": 912, "1935": 912, "1936": 912, "194": 434, "1945": [510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855], "19450863": 3, "195": [], "1951": [4, 87, 88], "1954": 914, "1959": 914, "196719": 914, "197": [], "1972": [664, 743, 773, 786, 881], "198": 911, "198181": 911, "198283": 3, "1987": [1, 278], "1988": [278, 914], "198880": 3, "1989": [277, 280, 287], "1990": [287, 290], "1991": [277, 281], "1992": [277, 280, 282, 284], "1993": 284, "1994": [1, 9, 275, 277, 278, 281, 456], "1996": [1, 276], "1997": [1, 279], "1998": 277, "1999": [1, 915], "1d": [89, 915], "1t": [282, 287], "2": [3, 4, 5, 6, 8, 9, 10, 11, 14, 26, 29, 41, 44, 48, 56, 59, 71, 74, 87, 91, 98, 106, 107, 109, 110, 112, 249, 250, 251, 271, 275, 276, 277, 278, 279, 280, 284, 286, 287, 288, 290, 375, 394, 433, 434, 437, 439, 440, 444, 445, 446, 448, 450, 451, 452, 453, 455, 485, 502, 504, 510, 516, 521, 527, 532, 537, 543, 568, 585, 602, 620, 637, 654, 660, 684, 686, 692, 697, 702, 708, 713, 733, 739, 763, 769, 782, 791, 797, 807, 813, 822, 824, 826, 827, 846, 848, 854, 855, 905, 907, 908, 911, 912, 913, 914, 915], "20": [3, 87, 271, 433, 434, 911, 913, 914, 915], "200": [3, 7, 271, 516, 532, 697, 713, 914], "2000": [1, 7, 249, 251, 270, 437, 451, 510, 527, 543, 692, 708, 797, 813, 827, 855, 907], "200393": [], "2004": [10, 277, 280], "2005": [249, 251, 252, 270, 433], "2006": [1, 455, 914], "2007": [96, 276], "2008": [433, 915], "2009": [10, 433, 437, 913], "200e": 914, "2010": [275, 278, 279, 437, 913], "2011": [1, 249, 250, 270, 275, 913], "2013": [437, 453], "2014": [4, 87, 88, 430, 437, 907], "2015": 280, "2016": [907, 913], "2017": [913, 915], "2018": [453, 913, 914], "2019": 915, "202": 914, "2020": 279, "2021": [248, 510, 527, 543, 692, 708, 797, 813], "20210301": 911, "2022": 278, "2024": [434, 911, 912, 914, 915], "203002130782": 914, "203893": 915, "204": [], "204080": [], "205901": [], "206": 434, "206555": [3, 434], "207": 914, "20735108": 911, "2075": 277, "208": 914, "21": [3, 287, 290, 430, 434, 911, 913], "21077105": 911, "2111": 275, "211281": 914, "2117": 914, "212": 1, "213": 914, "213133": 911, "214889": 911, "217": 912, "218": 912, "218e": 914, "219": 434, "219273": [], "219343": [], "22": [3, 282, 287, 290, 434, 441, 450, 451, 453, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 827, 855, 907, 911, 912, 913, 915], "220": [3, 271], "2202": 914, "22037117": 911, "2208": 915, "220e": [907, 914], "221": 911, "222384": [], "2229": 434, "222e": 914, "224": 911, "224355": 911, "224722": 3, "225": 287, "2251": 915, "2267": 912, "226e": 914, "227": [912, 914], "227496": 911, "2280": 914, "2292": [], "229948": 911, "23": [10, 249, 251, 434, 911, 912], "230": [434, 914], "230000": [3, 434], "232": 915, "2320": 915, "2324": 911, "2326": 915, "233": 912, "23404414": 911, "2344": 915, "23456": 271, "234e": 914, "235": 914, "2355": 912, "2357": 912, "237665": 911, "238395": [], "239109": 911, "24": [437, 907, 911], "240": 271, "24105141": 907, "241e": 914, "242": 914, "243321": 911, "247341": [], "248": 287, "248708": [], "25": [3, 96, 434, 446, 448, 911, 912, 913, 914], "250": [271, 510, 527, 543, 692, 708, 797, 813, 827, 855, 911, 912, 915], "2500": [3, 271], "251": 280, "251145": 913, "252": [833, 863, 912, 915], "2520": [833, 863], "253377": [3, 434], "253453": 913, "253787": [], "2538": 914, "254": 912, "254050": 913, "255468": 914, "255768": [], "255806977215": 912, "255e": 912, "256401": 913, "256693": [], "256936": 913, "258": 914, "258118": 911, "259": 911, "259324": [], "259332": 913, "26": [437, 911, 913, 914], "260": [271, 912, 914], "260000": 3, "260e": [907, 914], "261146": 911, "261996": [], "262": [434, 912], "264": 912, "264603": [], "266221e": [], "266e": 914, "268421": [], "27": [284, 433, 437, 911, 913], "270": [271, 280], "270020": 915, "271": 914, "2727": 911, "273945": 88, "274220": [3, 434], "274831": [], "2761": 911, "2765831170655": [913, 914], "277": [], "277038": [], "278e": 914, "279": 914, "2794": [], "28": [10, 434, 437, 907, 912, 913], "280": [271, 434], "280000": [3, 434], "280e": 914, "281": 915, "2829": [], "282e": 914, "283653": [], "284833": 914, "284e": 914, "285": 911, "285110045305": 913, "2870": 277, "28793327": [], "2885": 912, "288e": 914, "289402": [], "289e": [], "29": [3, 95, 434, 437, 911, 913], "291": 912, "2910": 912, "29242535": [], "292557": 3, "2928e": 914, "293527": 911, "295": 434, "296": 912, "296939": 433, "297430": [], "298": 911, "299": 914, "29989336": 907, "29e": 434, "2_": [381, 437, 445, 907], "2_0": [508, 525, 541, 690, 706, 795, 811], "2_1": 290, "2_t": [437, 440, 907, 914], "2_u": 290, "2g": 10, "2q": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246], "2t": [282, 287], "3": [3, 4, 10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 87, 88, 89, 91, 98, 106, 110, 248, 271, 275, 277, 278, 280, 430, 433, 434, 437, 438, 456, 510, 516, 527, 532, 543, 660, 664, 692, 697, 708, 713, 743, 769, 773, 786, 797, 813, 826, 827, 854, 855, 881, 907, 908, 911, 912, 913, 914, 915], "30": [271, 437, 911, 914], "300": [271, 802], "300475": 911, "300e": 914, "301e": 914, "302041": [], "302e": 914, "303e": 911, "306": 914, "308": 912, "30e": 434, "31": [271, 279, 437, 907, 913], "310775": [], "311": 914, "311773": 911, "313296": [], "31390094": [], "314303": 911, "315": 271, "315e": 914, "3168": 914, "316e": 914, "317": 914, "3174": 914, "317500": 3, "318992": 911, "32": [433, 911], "320": [271, 912], "320000": [3, 434], "322": 434, "32222697": 911, "322e": 914, "323618": [], "32388539": [], "323e": 912, "3271": 278, "327524": [3, 434], "327e": 914, "328759": [], "328e": 914, "3299": 914, "33": [434, 912, 914, 915], "330e": 915, "333": 280, "333e": 914, "334": 914, "335": 278, "338291": [], "33845173251": 913, "33985331": [], "34": [433, 913, 914], "340": 271, "341305": [], "341480": 911, "3417": 914, "342809": [], "343779": 911, "344": 912, "344e": 914, "345": [912, 914], "346": 278, "348": 912, "3486": 912, "349153": 914, "35": [3, 434, 456, 912, 913, 914], "350": 914, "350000": [3, 434], "350302": [], "350539": [], "351": 914, "3516": 907, "3520": 907, "353e": 912, "354": [], "355": 914, "356": 434, "356515": 911, "357": 433, "358": 912, "359": [912, 914], "36": [3, 433, 434, 912], "360": [271, 833, 863], "36104612": 911, "361e": 912, "362": [], "362e": 914, "364": [], "364096": 911, "365": 251, "365651": [], "367": [912, 914], "36742011": 911, "367662": 3, "368": 911, "368864": [3, 434], "368971": 914, "369": 911, "369583": 911, "369e": 911, "37": 433, "370812": 911, "370e": 914, "371071": [], "371394": [], "372": 10, "37300659": 911, "373e": [], "374": 912, "375": 10, "376805": 911, "378435": [], "378519": 914, "38": [1, 3, 433, 434, 907], "380": [251, 271, 912], "380567": 3, "380e": 914, "381016": 914, "381047": [], "381054": 911, "381217": 911, "381757": 913, "381e": 914, "383327": [], "384e": 914, "386": [912, 914], "386263": 911, "386e": 914, "3879": 912, "388": 914, "3881": 912, "388e": 912, "389": [], "389023": 911, "3896": [], "3899": 912, "389900": 3, "39": [271, 433, 907, 911, 912, 914], "3902": 912, "39023359": 907, "39023885": 907, "3907": 912, "390905": 913, "391": 433, "391861": [], "39212288": 907, "3922": 912, "392e": 907, "393": 434, "394e": 914, "395000": 3, "395624": [], "396": 912, "396197": 911, "396729": [], "396835": [], "397": 1, "398": [], "398336": 914, "398623": [], "399988": 913, "4": [3, 10, 89, 91, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 248, 249, 251, 252, 271, 275, 277, 278, 290, 433, 434, 437, 438, 455, 510, 516, 527, 532, 543, 692, 697, 708, 713, 769, 797, 813, 826, 827, 854, 855, 907, 911, 912, 913, 914, 915], "40": [3, 271, 913], "400": [3, 271], "401108": [], "402483": 913, "406313": 914, "407": 914, "407544": 437, "409008": 913, "409912": 915, "409e": 912, "41": [430, 433, 434], "410": 271, "410e": 914, "411": 914, "411486": 913, "412": [], "413541": [], "413562": [], "4142135623730951": 455, "415": [912, 914], "415216": [], "415616": 437, "416": 271, "416045": 911, "416653": 907, "416e": 911, "417964": 913, "4180": 914, "418255226": 3, "419742": 3, "420": 271, "420425": 913, "420554": 913, "420e": 912, "421528": 437, "422848": 437, "424210": [], "425": 434, "42633071": [], "427116": 911, "428416": 913, "429": 911, "429115": 3, "429301": 913, "429429": 913, "43": 434, "430000": [3, 434], "430024": 437, "430246": 437, "43067754": [], "432": [], "433": [], "435678": 914, "436": 113, "437236": 913, "438115": 913, "438242": 913, "439125": [], "439451": 437, "439856": 437, "43e": 434, "44": [434, 912], "440": 271, "441": 271, "441362": 911, "442": [], "442891": 88, "442e": 915, "444": 914, "444122": 911, "445994": 913, "446": 914, "4462204215": 912, "44665818": [], "446993": 913, "446e": 914, "447": 914, "447054": 437, "448": 430, "448282": 437, "449": [], "449e": 912, "45": [271, 433, 907, 911, 912, 914], "450": [], "451724": 913, "453": [249, 250], "454": [433, 912], "4545": 912, "454575": 3, "454691": 913, "454730": 911, "454875": 437, "455": 271, "455084": 3, "4555": 913, "455683": 913, "456": [], "4571": 912, "457368": 437, "4578": 913, "457877": [], "458e": 914, "4596": [], "46": [111, 433, 434, 914], "460": 271, "460000": [3, 434], "460381": 913, "462": [], "462167": 437, "4626": [], "463326": 913, "463e": 912, "464": 434, "466": 911, "466087": 3, "4661": 911, "467": [], "467515": 437, "468": 433, "468483": 911, "468976": 913, "4690": 911, "47": [3, 433], "470856": [], "470867": [], "471": [], "471040": 3, "473": [], "474691": 437, "475": 914, "47531817": 907, "475632": 437, "475e": 914, "476e": 915, "477": [], "477217": 911, "477494": 911, "477512": 913, "477862": [], "478716": 914, "479": [], "48": [433, 912], "480": 271, "480416": 437, "481": 911, "482": [], "482191": 911, "482352": [3, 434], "482448": [], "483": 277, "483518": 911, "483664": 437, "48452188": [], "485": [], "48500": 3, "485987": 913, "486701": 913, "486e": 914, "487": 914, "487e": 907, "488": 912, "488e": 911, "489": [], "489390": 911, "489534": 437, "490e": 914, "491932": 437, "492": 912, "493443": [], "495": 914, "495087": 88, "495875": 437, "496529": [], "496611626368": 913, "497": [249, 250], "49723719": 3, "497e": [], "499000": [], "4f": [275, 276, 277, 278, 279], "5": [3, 4, 5, 6, 8, 9, 10, 91, 110, 249, 251, 271, 277, 278, 402, 419, 430, 433, 434, 437, 439, 441, 444, 449, 450, 451, 454, 456, 457, 510, 516, 527, 532, 543, 666, 668, 692, 697, 708, 713, 722, 745, 775, 788, 797, 813, 827, 855, 883, 907, 911, 912, 913, 914, 915], "50": [3, 271, 434, 912, 914], "500": [4, 5, 6, 7, 8, 9, 87, 88, 271, 437, 479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 818, 899, 911, 913], "500834": 914, "501098": 911, "501122": 437, "501559": 911, "502": 277, "502419": 437, "5029": [914, 915], "5030": [914, 915], "5033": 911, "503509": 911, "503543": [], "505e": 914, "506233": [], "507": 912, "507739": 914, "507e": 912, "508081": 914, "508540": 88, "509194": 437, "51": 914, "510": 911, "511": 912, "51120738": [], "511325": 911, "512e": 914, "513": [912, 914], "513621": 913, "514": 912, "5141": 907, "5142": 907, "5143": 907, "5146": 907, "514742": [], "5152": 907, "515452": 915, "5156": 907, "5159": 907, "516": 434, "516134": 911, "516536": 3, "518614": 437, "519": 912, "52": [277, 433, 833, 863, 907, 914], "520": 3, "520892": 911, "522": [], "523e": 907, "525": 271, "525438": [], "525e": 914, "526": 914, "52630442": 911, "527460": 911, "5281": 248, "528771": 915, "529": 914, "53": [10, 433, 912], "530200": 914, "530906": 915, "531": 433, "534e": 914, "535316": [], "536e": 911, "54": [3, 111, 277], "540887": 913, "541": [912, 914], "542506": 915, "542658": 915, "543405": [], "543655": [], "543e": 914, "546183": 915, "546659": [], "548660": 911, "549": 915, "55": 278, "550639": 911, "552317": 911, "553": 434, "554": 912, "554188": [], "554e": 907, "55521": [], "555688": 915, "556570e": [], "556576": [], "557649": 915, "557743": [], "5579": 912, "5584": 912, "559684": 915, "56": [], "560000": [3, 434], "5602": 912, "560771": 911, "561282": 915, "561312": 915, "561379": 911, "561457": 914, "561637": 88, "564": 113, "565": [], "565514": 913, "565684": 913, "567": 914, "567086": 915, "567297": 915, "568502": 913, "569": 907, "569993": [], "57": [1, 433, 434, 911, 914], "570141": [], "570280": 915, "570e": 914, "572212": 913, "572369": 913, "572616": 915, "573": [], "574232": [], "575020": 913, "575065": 913, "576": 271, "576208": 915, "5768": 911, "578": 912, "578869": 913, "5789": 912, "578e": 914, "579014": 913, "57968677": [], "58": [434, 911], "580": 3, "580434": 915, "581": 911, "581639": 913, "581756": 913, "581e": 907, "582": 434, "582153": 915, "58323938": 907, "583415": 915, "585318": 3, "585426": 915, "586e": 434, "587": 3, "587410": 915, "587470": 914, "588217": 913, "588406": 913, "589133": 911, "589270": [], "589678": 911, "589e": 912, "59": [277, 434, 912], "590": [], "590961": 915, "592e": 914, "593254": 248, "593420": [], "593e": 914, "594855": 915, "595551": 915, "596301": 915, "59647": 913, "596837": 915, "597387": 915, "597571": 915, "597e": 912, "598020": [], "59856914": 911, "599455": 915, "599561": 913, "599963": 913, "6": [3, 4, 91, 110, 271, 433, 434, 451, 826, 854, 907, 911, 912, 913, 914, 915], "60": [271, 434, 907, 914], "600109": 913, "600417": 913, "600e": 914, "601": 433, "601e": 914, "602034": 915, "605136": 915, "605543": 915, "605e": 914, "606051": 913, "606438": 913, "606595": 913, "606893": 913, "606e": 907, "607654": 911, "607e": 912, "60803748": 911, "608309": 913, "608487": 915, "608558": 913, "609805": [], "61": [277, 912, 914], "610000": [3, 434], "610493": 915, "611026": 915, "611352": 915, "612501": 913, "612874": 913, "612e": 914, "613040": 913, "613065": 915, "613329": 913, "613940": 915, "614748": 913, "614982": 913, "615": [], "615284": 911, "615314": 913, "616488": 915, "616630": 911, "616836": 914, "616e": 912, "617539": 915, "618694": 911, "619": 1, "619195": 915, "619957": 915, "620": 912, "620310": [], "621": 914, "621148": 913, "621366": 913, "621743": 913, "621790": 915, "621835": 915, "622": 912, "622224": 915, "623295": 915, "623694": [], "625699": 915, "625e": 912, "627476": [], "628": 914, "628133": 913, "628257": 915, "629195": 915, "629696": 913, "629890": 913, "63": [913, 914], "630": [434, 914], "630776": 915, "631": 277, "632756": 911, "633331": [], "6335": 912, "634091": 915, "634205": 915, "634424": 913, "634503": 913, "635506": 911, "6358": 914, "635838": 915, "635980": 3, "635989": 913, "635e": [], "636180": 915, "636245": 913, "6369": 914, "637129": 914, "637251": 915, "637504": 915, "638180": 915, "638431": 3, "639880": 915, "639e": [], "64": [276, 434, 914], "640706": 913, "640776": 913, "6408": 914, "640e": [], "6414": 914, "642": 434, "642244": 913, "642408": 915, "642561": 913, "643916": 914, "644534": 915, "64484999": 913, "644899": 915, "644e": 914, "645237": 915, "646": 914, "646091": [], "646949": 913, "647011": 913, "647817": 915, "647824": 915, "647875": 3, "647e": 912, "648": [433, 911], "648288": 915, "649343": 437, "64965918": 913, "649695": 915, "649885": [], "65": 912, "650287": 915, "651549": 915, "652": 911, "652075": [], "653": [277, 912], "653185": 915, "653222": 915, "653897": 915, "654048": 437, "655": [433, 912], "65536430": 912, "655e": [], "656397": 915, "656603": 915, "656e": 915, "657": 912, "658": 911, "658858": 915, "659350": 3, "659733": 915, "659946": [3, 434], "66": 453, "660": 3, "6609": 914, "661": 912, "661366": 915, "6632": 914, "663344": 915, "663746": 915, "664": [912, 914], "664055": 437, "665": 434, "665431": 915, "665995": 915, "665e": 914, "666057": 913, "666244": 913, "666e": 914, "667118": [], "667267": 915, "667753": 915, "668181": 915, "668273": 913, "669": 434, "669052": 914, "669e": 914, "67": [433, 907], "670": [], "670000": 3, "670223": 915, "670469": 911, "672146": 913, "6722": 914, "672211": [], "672346": 913, "672656": 915, "672742": 437, "6728": 914, "672e": 914, "673404": 915, "675251e": [], "675e": 914, "676081": 915, "676570": [], "676611": [], "676889": [], "678": 914, "678197": 913, "678411": 913, "679154": 915, "679322": 3, "679386": [], "679835": 915, "6799": 914, "68": [249, 251, 913, 914], "680": 914, "681": 912, "681263": 437, "681440": [], "681448": 915, "681e": [], "6822": [913, 914], "6829": 914, "683890": 915, "683e": 914, "684": 911, "6846": 913, "684687": [], "684e": 915, "685911": 915, "686503": 915, "687": 914, "687952": 915, "688330": 914, "689831": 915, "6908": 914, "690869": [], "690e": 914, "6911": 911, "691225": 915, "691387": 915, "691471": 3, "692": 914, "692300": 915, "692473212838": 912, "692717": 915, "692e": 912, "693": 912, "69307515": 3, "693448": 911, "6936": [913, 914], "69379793": 912, "693e": 915, "694467": [], "694667": [], "694735": 913, "694985": 915, "695074": 913, "695349": 437, "696": [], "696883": 911, "6970": [913, 914], "697133": 915, "697221": 915, "697399": 915, "698": 911, "698808e": 3, "699419": [], "699591": [], "699708": 915, "6z": 106, "7": [3, 8, 271, 277, 280, 433, 434, 907, 911, 912, 913, 914, 915], "70": [10, 271, 911], "700000": [3, 434], "700559": 915, "700656": 913, "701042": 913, "702": 914, "702488": 437, "703": 278, "7032": [], "705": 456, "706124": 915, "706255": [], "706541": 913, "706703": 911, "706812": 437, "706974": 913, "707203": 915, "707707": 915, "708": 278, "708164": 911, "708677": [], "7091": 912, "709956": 913, "70e": 434, "710": 907, "710453": 913, "710752": 915, "710e": 911, "71329752255": 913, "713342": 437, "7135083370713": 912, "715": 914, "715791": 913, "715944": [], "716": [], "716315": 913, "717701": 915, "717e": [], "718476988985": [913, 914], "718477482658": [913, 914], "718560": 915, "719": 914, "719376": 915, "72": 914, "721505": 915, "721591": 913, "721629": 437, "7217": 912, "721741": 911, "722142": 913, "722839": 911, "722954": 915, "722e": [], "723352": 913, "723950": 915, "724375": [], "725": 912, "726": [912, 914], "727": 434, "727693": 3, "72819469": [], "729435": 88, "729465": 915, "73": [249, 252, 907, 911], "730": 456, "730000": [3, 434], "732064": [], "732475": 915, "732780": 911, "733": 911, "73398988": [], "733e": 912, "734250": 911, "734322": 915, "735752": 3, "736509": 913, "737154": 913, "737691": 3, "738": 914, "738644": 911, "739303": 437, "74": [434, 911, 912], "740000": [3, 434], "741100": 437, "741206": 915, "741e": 914, "742193": 913, "742445": [], "742908": 913, "742e": [], "743119": 915, "744529": 437, "745": [], "745202": 915, "745423": 915, "746940": 437, "747": 911, "747842": 913, "748": 914, "748627": 913, "75": [3, 278, 434, 913, 915], "750082": 911, "750169": 915, "751723": 913, "751747": 913, "751e": 914, "752": 911, "752688": 437, "755": 271, "756": 914, "756549": [], "757321": 913, "757343": 913, "757398": 915, "758": 911, "758891": 915, "759e": 911, "76": [275, 278, 433, 907, 914], "7611": 276, "7625": 911, "762885": 913, "762905": 913, "762e": 914, "763": 914, "7648": [], "7654": 911, "766": [], "766787": 3, "769": [434, 914], "770828": [], "7737": 911, "774": [], "774514": [], "774e": 912, "775048": 915, "776833": 911, "777": [], "777860": 915, "778286": 915, "77916236": 911, "779325": 915, "7796": 912, "779e": 914, "78": 433, "780": 433, "7803": [], "780547": 3, "781e": 912, "782": 912, "782e": 912, "783": 284, "783319": 915, "784": 911, "785": [], "786": 434, "787697": 914, "788174": 911, "79": [249, 250, 433, 907, 911, 914], "791": 914, "791664": [], "7949": [], "794e": 914, "797478": 911, "799": 914, "7e": 434, "8": [3, 88, 271, 278, 284, 287, 433, 434, 802, 907, 911, 912, 913, 914, 915], "80": 271, "800": [3, 912], "8014": [], "802": 915, "802222": [], "802549": 3, "802822": 911, "802e": 914, "803961": [], "804": 912, "80401874": 911, "807e": 911, "808605": [], "809e": 914, "81": [433, 434, 911], "810": [], "810267": 911, "810e": 912, "811486": 915, "812": 1, "812372": [], "813": 276, "816280": 915, "816663": 915, "816867": [], "817": 277, "817368": [], "817e": 914, "819497": 911, "8196": 915, "82": [1, 915], "820": 284, "820788": 915, "820e": 914, "821112": 915, "824": 911, "825": 433, "825715": 914, "826173": 911, "826856": 911, "826e": 914, "827623": 911, "827887": [], "828189": 915, "829674": [], "83": [434, 913], "830": 914, "831e": 912, "832340": 911, "834": 911, "834203": 911, "835": [], "836": 276, "836961": [], "837": 433, "837196": 3, "838436": 911, "84": 914, "840": [433, 912], "840369": 915, "840667": 915, "841": 914, "841916": [], "842014": 911, "845656": 915, "846444": 911, "849680": 915, "85": 907, "8500": 914, "850000": [3, 434], "851104": 915, "851958": 911, "852": 914, "853509": 911, "8538268": 911, "853e": 914, "8541": [], "854e": 914, "855": 912, "855826": 911, "855e": 914, "856175": 915, "856942": 911, "857": 912, "858": [277, 434, 912, 914], "858582": 911, "858870": 914, "859": 912, "86": [434, 912, 914], "860107": 915, "860e": 914, "861": 914, "861e": 915, "86337547": 907, "864": 914, "864591": 915, "8648": 914, "865441": [], "865e": 911, "866": 912, "867": 912, "867701": [], "868": 433, "87": [433, 914], "870000": [3, 434], "871989": 911, "873866": 915, "873e": 914, "874696": 915, "875": 912, "876": 912, "877": 911, "877539": 915, "877788388": 3, "878": 907, "88": 914, "880": 914, "880198": 3, "880723": 911, "880924": [], "882823437632": 913, "883": 914, "883179368218": 913, "885": 914, "8852": 914, "885e": 914, "886221": 915, "886289": 915, "887791": 915, "887e": 914, "888": 915, "888417": 915, "889032": 915, "89": [911, 912], "890002": 915, "891": 914, "8922": 914, "892380934": 914, "892e": 907, "893986": 915, "893e": 914, "894": 912, "894397": 915, "895": 914, "895559": 915, "897e": 911, "898": 434, "898202": 915, "899e": 912, "9": [1, 3, 97, 271, 433, 434, 907, 911, 912, 913, 914, 915], "90": [3, 271, 433, 434, 911, 912, 913, 914, 915], "900": 434, "900736": 911, "9014": 907, "90200937": 911, "9036": 276, "905": 914, "905952": 915, "906": 914, "906023": 911, "906024": 911, "9062": [], "907669": [], "90776848": 911, "908875": [], "909098": 914, "909387": 911, "9098": 914, "909e": 912, "9100": 915, "912": 914, "912569": [], "913354": 914, "9139": 914, "915208": 915, "9180": 912, "91881848": 911, "918e": 914, "919351": 3, "92": [516, 532, 548, 697, 713, 833, 863], "920": [], "92071295": 911, "921": 914, "922701": 911, "924374": [], "925": [907, 914], "926": 912, "926e": 912, "927950": 914, "928049": [], "928215": 914, "92854111": [], "92855758": [], "9287": 912, "929": 914, "93": [433, 912, 913, 914], "930": [], "930291": 912, "930777": 915, "931": 912, "931280": 914, "931769": 433, "931e": 911, "932": 915, "932516": [], "932870": [], "932e": [907, 912], "933": 914, "934469": 911, "934e": 914, "936587": 915, "936e": 914, "937519": [], "9376": 912, "9381": 912, "9382": 914, "938636": 915, "938708": 915, "938e": 914, "939": 433, "94": [276, 445, 914], "940": 912, "940765": [], "944": [911, 912], "94446": 3, "945120": 915, "947": 911, "9470515573437": 912, "9470521680555": 912, "947307": [], "948": [], "948e": 914, "95": [4, 14, 29, 44, 59, 74, 433, 907, 911, 912, 914, 915], "95100468": 911, "952": [], "952751": 913, "9527543235638": 912, "953536": 911, "953791": 911, "954167": 913, "954298": 911, "9549": 914, "955295": 915, "956": 911, "956125": 911, "957245": 913, "957266": 915, "958215": 915, "958503": 3, "958725": 913, "958876": 3, "96": [434, 912, 914], "960e": [], "961424": 915, "961713": 913, "962": 433, "962878": [], "963255": 913, "965": 911, "965540": 915, "966432": 915, "966737": 915, "97": [430, 434, 914], "970000": [3, 434], "970796": 915, "970e": 911, "974248": 915, "975": 434, "97550234": 911, "976": [], "977504": 915, "978453": [], "979e": [], "981": 914, "981429": [], "982202": 915, "98325674": 911, "9842": [], "98775117": 911, "9890437": 914, "989657335": 3, "989713": 911, "989e": 914, "990": 911, "990744": 911, "990e": 914, "991": [911, 914], "992": 911, "992547": 915, "993": 911, "99387559": 911, "994": [911, 912], "995": [271, 911], "995165345449": 914, "995e": 914, "996": 911, "99693779": 911, "997": 911, "998": 911, "99830288": [], "9984689": 911, "9986": 912, "9988": [], "999": 911, "99923445": 911, "999540": [], "9cb2d6": 913, "A": [1, 3, 4, 10, 23, 38, 53, 68, 83, 86, 87, 89, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 249, 250, 251, 270, 276, 277, 278, 279, 280, 284, 287, 379, 398, 433, 434, 436, 437, 440, 441, 450, 451, 453, 473, 491, 508, 510, 525, 527, 541, 543, 557, 574, 591, 608, 626, 643, 658, 673, 690, 692, 706, 708, 722, 737, 752, 767, 780, 795, 797, 811, 813, 826, 854, 875, 894, 907, 912, 914, 915, 916, 917], "As": [510, 527, 543, 692, 708, 797, 813, 915], "At": 89, "Be": 913, "By": [434, 437], "For": [89, 248, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 914, 915], "If": [5, 6, 7, 8, 9, 20, 23, 35, 38, 50, 53, 65, 68, 80, 83, 95, 96, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 275, 276, 277, 278, 279, 280, 284, 290, 367, 375, 381, 390, 394, 415, 437, 438, 440, 441, 442, 447, 449, 451, 452, 454, 456, 457, 458, 463, 475, 486, 492, 503, 508, 510, 516, 525, 527, 532, 541, 543, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 690, 692, 697, 706, 708, 713, 723, 734, 753, 764, 795, 797, 811, 813, 823, 826, 827, 833, 847, 854, 855, 863, 868, 895, 906, 907, 911, 913], "In": [4, 89, 91, 98, 250, 251, 252, 271, 430, 433, 437, 438, 444, 446, 448, 450, 453, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 827, 854, 855, 907, 908, 911, 912, 914, 915], "It": [90, 95, 270, 271, 375, 394, 434, 451, 911, 915], "No": [275, 278, 280, 282, 284, 286, 287, 288, 289, 290, 430, 433, 434, 664, 743, 773, 786, 881, 907, 911, 912, 913, 914, 915], "Not": [437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 908], "One": [14, 29, 44, 59, 74, 434, 437], "That": [271, 913], "The": [1, 2, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 16, 18, 25, 27, 28, 29, 30, 31, 33, 40, 42, 43, 44, 45, 46, 48, 55, 57, 58, 59, 60, 61, 63, 70, 72, 73, 74, 75, 76, 78, 85, 88, 89, 90, 92, 95, 96, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 117, 119, 120, 121, 122, 123, 124, 125, 127, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 141, 143, 144, 145, 146, 147, 148, 149, 151, 153, 154, 155, 156, 157, 158, 159, 161, 163, 164, 165, 166, 167, 168, 169, 171, 173, 174, 175, 176, 177, 178, 179, 181, 183, 184, 185, 186, 187, 188, 189, 191, 193, 194, 195, 196, 197, 198, 199, 201, 203, 204, 205, 206, 207, 208, 209, 211, 213, 214, 215, 216, 217, 218, 219, 221, 223, 224, 225, 226, 227, 228, 229, 231, 233, 234, 235, 236, 237, 238, 239, 241, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 270, 275, 276, 277, 278, 279, 280, 281, 282, 284, 285, 286, 287, 289, 290, 291, 295, 296, 299, 304, 308, 309, 312, 317, 320, 321, 323, 328, 331, 332, 334, 335, 341, 345, 346, 350, 354, 356, 359, 360, 362, 367, 368, 369, 370, 372, 374, 375, 376, 377, 381, 382, 383, 384, 386, 387, 388, 389, 390, 391, 393, 394, 395, 396, 400, 401, 403, 404, 405, 407, 408, 409, 410, 411, 412, 414, 415, 416, 418, 420, 423, 424, 425, 426, 427, 429, 430, 432, 433, 434, 437, 439, 440, 441, 442, 445, 446, 448, 451, 452, 455, 456, 458, 460, 463, 465, 471, 474, 475, 476, 477, 479, 483, 486, 492, 493, 494, 496, 500, 503, 510, 511, 512, 527, 528, 543, 544, 558, 559, 560, 562, 566, 569, 575, 576, 577, 579, 583, 586, 592, 593, 594, 596, 600, 603, 609, 610, 611, 613, 618, 621, 627, 628, 629, 631, 635, 638, 644, 645, 646, 648, 652, 655, 659, 660, 662, 664, 666, 674, 675, 676, 678, 682, 685, 692, 693, 708, 709, 723, 724, 725, 727, 731, 734, 738, 739, 741, 743, 745, 747, 753, 754, 755, 757, 761, 764, 768, 769, 771, 773, 775, 781, 782, 784, 786, 788, 797, 798, 813, 814, 825, 826, 827, 841, 844, 849, 854, 855, 868, 876, 879, 881, 883, 885, 887, 888, 889, 895, 896, 897, 899, 903, 906, 907, 911, 912, 913, 914, 915, 916, 917], "Then": 3, "There": [271, 434, 548, 802, 908, 911, 914], "These": [3, 89, 272, 433, 434, 437, 485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905, 911, 912, 913, 914, 915], "To": [5, 6, 7, 8, 9, 433, 435], "Will": 95, "_": [4, 282, 284, 287, 290, 375, 381, 394, 437, 451, 911], "_0": 911, "_1": [287, 911], "_2": 282, "__future__": [95, 97], "__init__": [465, 915], "_b": 4, "_i": 10, "_r": 915, "_shock": 915, "_t": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 287, 290, 375, 394, 437], "_u": 290, "_z": 290, "aaa": [430, 434], "ab": [446, 448, 911], "abd": 275, "abil": [95, 249, 251], "about": [14, 29, 44, 59, 74, 277, 278, 279, 510, 527, 543, 692, 708, 797, 813, 860, 913, 914], "abov": [3, 89, 271, 275, 276, 277, 278, 290, 433, 915], "absolut": [271, 914], "abstract": [139, 143, 147, 459, 465, 467, 813, 816, 817, 818, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 892, 893, 894, 898, 899, 901], "acceler": [14, 29, 44, 59, 74], "accept": [3, 89, 94, 96, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "access": [5, 6, 7, 8, 9, 260, 271, 434, 914], "accessibli": [5, 6, 7, 8, 9], "accommod": [510, 527, 543, 692, 708, 797, 813, 826, 854], "accord": 453, "account": [89, 270, 278, 295, 308, 320, 331, 345, 359, 367, 375, 381, 394, 415, 911], "accur": [4, 911], "accuraci": 4, "acf": 434, "across": [3, 7, 14, 29, 44, 59, 74, 271, 434, 437], "act": 915, "activ": 265, "actual": [89, 271, 437, 911, 913], "actual_x_oo": 911, "ad": [14, 29, 44, 59, 74, 92, 93, 94, 95, 96, 97, 510, 527, 543, 692, 708, 797, 813, 826, 854, 914, 917], "add": [93, 96, 271, 914], "addit": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 248, 278, 434, 479, 496, 562, 579, 596, 613, 631, 648, 678, 727, 757, 899, 913, 914], "addition": [434, 437], "adequ": 914, "adf": [95, 276, 277, 278, 280, 286, 289, 290, 311, 411, 430, 432, 433, 434], "adj": [4, 87, 88, 434, 437, 440, 907, 911, 912, 913, 914, 915], "adjac": 455, "adjust": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 285, 367, 377, 381, 396, 415, 867], "administr": 433, "admiss": 3, "admit": 3, "adopt": 97, "advanc": 287, "advantag": [437, 915], "affect": [95, 96, 97, 282, 287, 290, 433, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855], "after": [5, 6, 7, 8, 9, 95, 96, 437, 510, 527, 543, 692, 708, 797, 813, 911, 913], "against": [91, 98, 277, 280, 509, 526, 542, 691, 707, 796, 812], "agre": [433, 434], "ahead": [437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 913], "aic": [275, 276, 280, 284, 289, 434, 907, 911, 912, 914, 915], "aim": 908, "akaik": [275, 276, 280, 284, 822, 846], "al": [277, 664, 743, 773, 786, 881], "algorithm": [10, 275, 280, 917], "alia": 273, "align": [437, 461, 510, 527, 543, 692, 708, 797, 813, 825, 826, 841, 849, 854, 913], "all": [2, 3, 4, 7, 10, 14, 29, 44, 59, 74, 87, 88, 95, 96, 99, 251, 271, 279, 280, 284, 381, 385, 398, 430, 432, 433, 434, 436, 437, 438, 440, 441, 443, 450, 451, 459, 465, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 908, 909, 910, 911, 913, 914, 915, 917], "allow": [3, 4, 7, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 94, 95, 96, 270, 271, 272, 275, 279, 434, 447, 467, 509, 526, 542, 691, 707, 796, 812, 908, 911, 914, 915, 917], "almost": 915, "along": [913, 914], "alpha": [4, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 290, 433, 437, 453, 722, 850, 907, 911, 912, 913, 914, 915], "alpha_": [438, 439, 444, 448, 450], "alreadi": 913, "also": [3, 89, 90, 96, 270, 271, 277, 280, 434, 911, 913, 914], "alter": 434, "altern": [3, 14, 29, 44, 59, 74, 88, 94, 100, 104, 105, 251, 252, 270, 275, 276, 277, 278, 286, 288, 291, 304, 317, 328, 341, 356, 400, 416, 430, 432, 433, 434, 451, 510, 515, 527, 531, 543, 547, 692, 696, 708, 712, 797, 801, 813, 817, 826, 827, 854, 855, 907, 911, 914, 916], "although": [4, 89, 271, 433, 434, 437, 446, 448, 911, 914], "alwai": [87, 259, 271, 434, 437, 911, 915], "am": [437, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 907, 913, 914], "american": 1, "amount": [271, 437], "an": [1, 3, 4, 5, 6, 7, 8, 9, 12, 14, 27, 29, 42, 44, 57, 59, 72, 74, 88, 89, 90, 95, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242, 250, 251, 252, 269, 270, 271, 276, 277, 279, 280, 284, 289, 290, 367, 381, 415, 432, 433, 434, 436, 437, 441, 449, 450, 453, 454, 456, 457, 460, 461, 462, 463, 472, 490, 509, 510, 516, 526, 527, 532, 542, 543, 548, 556, 573, 590, 607, 625, 642, 672, 691, 692, 697, 707, 708, 713, 721, 751, 796, 797, 802, 812, 813, 826, 827, 833, 854, 855, 863, 893, 907, 912, 913, 914, 915], "analys": 432, "analysi": [3, 248, 275, 278], "analyt": [4, 14, 29, 44, 59, 74, 88, 273, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 910, 915], "andrew": [10, 95, 110, 277, 279, 280, 281, 432], "ani": [3, 5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 27, 29, 30, 32, 33, 36, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 57, 59, 60, 62, 63, 66, 67, 68, 69, 70, 71, 72, 74, 75, 77, 78, 81, 82, 83, 84, 85, 102, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 258, 259, 264, 265, 268, 271, 273, 278, 284, 290, 367, 375, 381, 394, 415, 430, 434, 437, 440, 441, 447, 451, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 510, 515, 516, 517, 522, 523, 525, 527, 531, 532, 533, 538, 539, 541, 543, 547, 548, 549, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 692, 696, 697, 698, 703, 704, 706, 708, 712, 713, 714, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 774, 776, 777, 778, 779, 780, 782, 787, 789, 790, 792, 793, 795, 797, 801, 802, 803, 808, 809, 811, 813, 817, 819, 825, 826, 834, 835, 842, 843, 844, 845, 849, 854, 865, 870, 873, 874, 875, 877, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 907, 911, 913, 914, 915], "ann_infl": 914, "annual": [3, 4, 87, 833, 863, 914, 915], "anoth": 915, "anyarrai": 273, "anypanda": 273, "anyth": 290, "aparch": [95, 907], "api": [3, 271, 275, 276, 277, 278, 434], "appear": [3, 95, 275, 276, 277, 278, 282, 287, 432, 433, 434, 440, 911, 914], "append": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 271, 911, 913], "appli": [3, 87, 95, 281, 469, 488, 508, 525, 541, 554, 571, 588, 605, 623, 640, 670, 690, 706, 719, 749, 795, 811, 868, 891], "applic": [1, 88, 89, 271, 279, 459, 907, 908, 915], "approach": [433, 911, 915], "appropri": [3, 4, 7, 14, 29, 44, 59, 74, 86, 250, 251, 252, 469, 488, 554, 571, 588, 605, 623, 640, 670, 719, 749, 891], "approxim": [14, 29, 44, 59, 74, 275, 278, 280, 284, 468, 469, 470, 481, 485, 487, 488, 489, 498, 502, 553, 554, 555, 564, 568, 570, 571, 572, 581, 585, 587, 588, 589, 598, 602, 604, 605, 606, 615, 617, 620, 622, 623, 624, 633, 637, 639, 640, 641, 650, 654, 669, 670, 671, 680, 684, 718, 719, 720, 729, 733, 748, 749, 750, 759, 763, 890, 891, 892, 901, 905], "ar": [3, 4, 7, 10, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 89, 90, 95, 96, 97, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 248, 250, 251, 252, 254, 255, 259, 270, 271, 272, 275, 276, 277, 278, 279, 280, 282, 284, 287, 289, 290, 334, 337, 367, 381, 415, 430, 432, 433, 434, 437, 438, 440, 441, 444, 446, 448, 450, 451, 455, 459, 465, 467, 473, 475, 485, 491, 492, 502, 508, 509, 510, 516, 525, 526, 527, 532, 541, 542, 543, 557, 558, 568, 574, 575, 585, 591, 592, 602, 608, 609, 620, 626, 627, 637, 643, 644, 654, 660, 673, 674, 684, 690, 691, 692, 697, 706, 707, 708, 713, 722, 723, 733, 739, 752, 753, 763, 769, 782, 795, 796, 797, 802, 811, 812, 813, 825, 826, 827, 833, 849, 854, 855, 863, 872, 877, 894, 895, 905, 907, 908, 909, 911, 912, 913, 914, 915, 917], "arang": [12, 27, 42, 57, 72, 89, 911, 913, 915], "arbitrag": 433, "arbitrari": [3, 448], "arch": [3, 4, 87, 88, 89, 92, 93, 94, 95, 96, 97, 248, 270, 271, 273, 430, 433, 434, 436, 437, 910, 911, 912, 913, 915, 916], "arch_lm_test": 95, "arch_model": [95, 96, 437, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 907, 910, 911, 913, 914, 915], "arch_no_binari": 96, "archinmean": [96, 917], "archmodel": [460, 463, 829, 857, 907, 908], "archmodelfixedresult": [509, 526, 542, 691, 707, 796, 812, 909], "archmodelforecast": [437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913], "archmodelforecastsimul": [839, 913], "archmodelresult": [508, 525, 541, 690, 706, 795, 811, 909, 915], "area": 1, "arg": [4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 25, 26, 28, 29, 30, 40, 41, 43, 44, 45, 55, 56, 58, 59, 60, 70, 71, 73, 74, 75, 85], "argument": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 48, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 89, 95, 96, 250, 251, 252, 449, 454, 456, 457, 667, 746, 776, 789, 884, 914], "aris": 86, "around": [5, 8, 9, 10, 90, 270, 433], "arrai": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 15, 25, 26, 30, 40, 41, 45, 55, 56, 60, 70, 71, 75, 85, 87, 88, 89, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 265, 269, 271, 282, 287, 290, 430, 440, 441, 447, 451, 452, 466, 472, 473, 475, 479, 481, 483, 485, 490, 491, 492, 496, 498, 500, 502, 506, 508, 510, 516, 523, 525, 527, 532, 539, 541, 543, 548, 556, 557, 558, 562, 564, 566, 568, 573, 574, 575, 579, 581, 583, 585, 590, 591, 592, 596, 598, 600, 602, 607, 608, 609, 613, 615, 618, 620, 625, 626, 627, 631, 633, 635, 637, 642, 643, 644, 648, 650, 652, 654, 658, 668, 672, 673, 674, 678, 680, 682, 684, 688, 690, 692, 697, 704, 706, 708, 713, 721, 723, 727, 729, 731, 733, 737, 751, 752, 753, 757, 759, 761, 763, 767, 777, 780, 790, 793, 795, 797, 802, 809, 811, 813, 825, 826, 849, 850, 854, 864, 869, 872, 875, 877, 893, 894, 895, 899, 901, 903, 905, 913], "array_forecast": 911, "array_multi_forecast": 911, "arraylik": 273, "arraylike1d": 273, "arraylike2d": 273, "articl": [1, 249], "arx": [907, 911, 914], "as_text": 434, "asarrai": 915, "ask": 271, "aspect": 271, "assembl": [907, 914], "assert": 96, "asset": [833, 863, 914], "associ": [1, 486, 503, 569, 586, 603, 621, 638, 655, 685, 734, 764, 906], "assum": [89, 95, 289, 433, 434, 437, 508, 525, 541, 660, 690, 706, 739, 769, 782, 795, 811, 911, 913, 914, 915], "assumpt": [433, 914, 915], "asym": 453, "asymmetr": [438, 444, 448, 453, 907, 914], "asymmetri": 438, "asymptot": [89, 275, 278, 290], "attach": [437, 659, 666, 738, 745, 768, 775, 781, 788, 876, 883, 913], "attempt": [270, 280, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 913], "attribut": [5, 6, 7, 8, 9, 437, 913, 915], "augment": [93, 275, 289, 290, 404, 430, 432, 433], "auto_bandwidth": [95, 432], "autocorrel": [3, 10, 277, 278, 375, 381, 394, 434], "autocovari": [10, 290], "autolag": [275, 280], "automat": [10, 95, 96, 97, 275, 276, 277, 278, 280, 281, 289, 294, 307, 430, 432, 434, 440, 441, 442, 451, 452, 458, 907], "autoregress": [276, 284, 441, 451, 456, 914], "avail": [5, 6, 7, 8, 9, 271, 275, 277, 278, 434, 437, 447, 465, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 854, 895, 911, 913, 914, 915], "avar": 4, "avarch": 448, "averag": [3, 9, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 271, 437, 445, 451, 455, 914, 915], "avg_model_loss": 271, "avgarch": 448, "ax": [408, 424, 433, 911, 912, 913, 914, 915], "axi": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 271, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 914, 915], "b": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 86, 87, 88, 89, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 271, 277, 278, 287, 437, 456, 473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 722, 737, 752, 767, 769, 780, 793, 809, 875, 894, 915], "b_cb": 10, "b_sb": 10, "ba": 281, "baa": [430, 434], "back": [94, 97, 451], "backcast": [95, 469, 472, 475, 483, 488, 490, 492, 500, 505, 508, 522, 525, 538, 541, 554, 556, 558, 566, 571, 573, 575, 583, 588, 590, 592, 600, 605, 607, 609, 618, 623, 625, 627, 635, 640, 642, 644, 652, 670, 672, 674, 682, 687, 690, 703, 706, 719, 721, 723, 731, 749, 751, 753, 761, 792, 795, 808, 811, 886, 891, 893, 895, 903], "background": [2, 272, 910], "balanc": 433, "band": 10, "bandwidth": [95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 115, 118, 119, 122, 123, 125, 128, 129, 132, 133, 139, 142, 143, 146, 147, 149, 152, 153, 156, 157, 159, 162, 163, 166, 167, 169, 172, 173, 176, 177, 179, 182, 183, 186, 187, 189, 192, 193, 196, 197, 199, 202, 203, 206, 207, 209, 212, 213, 216, 217, 219, 222, 223, 226, 227, 229, 232, 233, 236, 237, 239, 242, 243, 246, 247, 281, 290, 367, 381, 415, 432, 433], "bank": 453, "bar": [10, 434, 451], "bartlett": [95, 105, 281, 290, 367, 381, 415, 433], "base": [4, 89, 95, 272, 275, 277, 278, 280, 290, 295, 308, 320, 331, 345, 359, 367, 381, 415, 433, 437, 465, 467, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 777, 790, 795, 796, 797, 907, 910, 913, 915], "bashtag": 248, "basic": [3, 14, 29, 44, 59, 74, 271, 434, 510, 527, 543, 548, 692, 708, 797, 802, 813, 826, 854, 907], "baum": 280, "bayesian": [275, 276, 280, 284, 824, 848], "bb0000": 913, "bb00bb": 913, "bc": [14, 29, 44, 59, 74, 769], "bca": [14, 29, 44, 59, 74, 95], "becaus": 911, "been": [5, 6, 7, 8, 9, 20, 35, 50, 65, 80, 91, 95, 96, 98, 280, 434, 450, 826, 854, 868, 911, 915], "befor": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 260, 276, 434, 508, 525, 541, 690, 706, 795, 811, 868, 915], "begin": [101, 106, 107, 108, 109, 110, 111, 112, 113, 280, 282, 287, 290, 437, 907, 911], "behavior": 95, "being": [3, 95, 259, 270, 289, 433, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "below": [3, 5, 6, 7, 8, 9, 271, 433, 911, 913, 914], "benchmark": [251, 252, 259, 270, 271], "bera": 434, "best": [94, 97, 270, 271, 280], "beta": [89, 271, 282, 284, 287, 289, 290, 433, 437, 446, 907, 911, 912, 914, 915], "beta_": [438, 444, 448], "beta_0": 911, "beta_1": 911, "better": [1, 270, 271, 433], "better_model": 271, "between": [14, 29, 44, 59, 74, 95, 270, 271, 430, 434, 440, 441, 451, 777, 790, 827, 855, 914, 915], "beyond": [4, 915], "bhansen": 456, "bia": [14, 29, 44, 59, 74, 287, 433], "bias": 434, "bic": [275, 276, 280, 284, 289, 434, 907, 911, 912, 914, 915], "big": 95, "bin": [3, 87], "binari": 3, "biometrika": 278, "bit": [433, 911], "bithel": 1, "block": [4, 5, 8, 9, 10, 88, 90, 250, 251, 252, 271, 279, 282, 287, 354, 434, 907, 915], "block_siz": [5, 8, 9, 250, 251, 252], "bm": [270, 271], "bm_beta": 271, "bm_factor": 271, "bm_loss": 271, "bollerslev": [508, 525, 541, 690, 706, 795, 811], "bond": [430, 434], "book": 1, "bool": [14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 251, 252, 265, 273, 275, 276, 279, 283, 284, 285, 290, 343, 347, 349, 367, 381, 398, 415, 438, 440, 441, 442, 447, 451, 452, 453, 458, 459, 460, 461, 463, 471, 484, 501, 505, 508, 510, 522, 525, 527, 538, 541, 543, 567, 584, 601, 619, 636, 653, 660, 683, 687, 690, 692, 703, 706, 708, 732, 739, 762, 769, 782, 792, 795, 797, 808, 811, 813, 823, 826, 847, 854, 877, 904, 907], "boolarrai": 273, "boolean": [265, 508, 525, 541, 690, 706, 795, 811], "bootstrap": [1, 4, 86, 88, 92, 95, 248, 270, 271, 272, 273, 275, 276, 278, 293, 295, 306, 308, 319, 320, 330, 331, 344, 345, 358, 359, 462, 466, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 910], "bootstrapindext": 273, "bootstrp": 915, "boston": 280, "both": [2, 4, 5, 6, 7, 8, 9, 89, 271, 433, 910, 911, 913, 915], "bound": [14, 29, 44, 59, 74, 251, 262, 472, 475, 483, 485, 490, 492, 500, 502, 506, 523, 539, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 664, 672, 674, 682, 684, 688, 704, 721, 723, 731, 733, 743, 751, 753, 761, 763, 773, 786, 793, 809, 881, 893, 895, 903, 905], "break": [280, 433, 434], "brent": 433, "bs_forecast": 915, "bs_path": 915, "bs_x": [5, 6, 7, 8, 9], "bs_y": [5, 6, 7, 8, 9], "bs_z": [5, 6, 7, 8, 9], "bug": [94, 95, 96, 97], "build": [3, 95, 907, 915], "built": [91, 98], "bump": [96, 97], "burn": [479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 818, 899, 911], "busi": [249, 251, 275, 277, 278, 280], "bx": 769, "c": [1, 96, 273, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 430, 433, 434, 465, 660, 769, 911, 913], "c_": 10, "c_i": 10, "c_k": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246], "cach": [96, 97], "calcul": [12, 27, 42, 57, 72, 95, 115, 119, 120, 125, 129, 130, 139, 143, 144, 149, 153, 154, 159, 163, 164, 169, 173, 174, 179, 183, 184, 189, 193, 194, 199, 203, 204, 209, 213, 214, 219, 223, 224, 229, 233, 234, 239, 243, 244, 277, 280, 660, 661, 739, 740, 769, 770, 782, 783, 878], "call": [3, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 89, 95, 96, 260, 270, 437, 463, 912, 913, 914, 917], "callabl": [11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 95, 270, 273, 465, 475, 479, 492, 496, 510, 527, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 667, 674, 678, 692, 708, 723, 727, 746, 753, 757, 776, 789, 797, 813, 826, 854, 884, 895, 899], "cambridg": 1, "campbel": 279, "can": [3, 4, 5, 6, 7, 8, 9, 87, 88, 89, 92, 95, 251, 252, 271, 277, 280, 430, 433, 434, 437, 446, 448, 465, 472, 490, 510, 527, 543, 556, 573, 590, 607, 625, 642, 672, 692, 708, 721, 751, 797, 813, 826, 827, 854, 855, 893, 907, 910, 911, 912, 913, 914, 915, 917], "candid": 280, "cannot": [3, 5, 6, 8, 9, 96, 275, 276, 277, 278, 433], "canon": [282, 432], "canonicalcointegratingreg": [95, 432], "captur": [88, 465, 914, 917], "carefulli": 907, "carlo": [277, 280, 910], "carpent": 1, "carpenterbithel": 1, "case": [4, 89, 101, 106, 107, 108, 109, 110, 111, 112, 113, 271, 433, 450, 907], "cauchi": 107, "caus": 95, "caveat": 437, "cbb": [250, 251, 252], "cc": [282, 287, 290], "cccc": 911, "cdf": [4, 665, 744, 774, 787, 882], "cdot": [290, 440], "cdot2": 290, "cell": 914, "center": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 271, 278, 914], "certain": 95, "challeng": 88, "chang": [14, 29, 44, 59, 74, 93, 94, 95, 97, 98, 271, 433, 434, 465, 510, 527, 543, 692, 708, 797, 813, 826, 854, 912, 913, 914, 915], "character": 280, "check": [95, 249, 251, 271, 434, 447, 509, 526, 542, 691, 707, 796, 812], "chernick": 1, "choic": [4, 290, 367, 381, 415, 437, 509, 526, 542, 691, 707, 796, 812, 914], "choos": 88, "chosen": [3, 4, 10, 250, 251, 252, 284], "ci": [3, 4, 14, 29, 44, 59, 74, 89, 850], "circular": [3, 8, 9, 10, 90, 250, 251, 252], "circularblockbootstrap": [8, 9, 10, 58, 73, 90], "circumst": [4, 89, 914, 915], "cite": 248, "class": [0, 3, 5, 6, 7, 8, 9, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 273, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 436, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 475, 486, 492, 503, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 723, 734, 753, 764, 895, 906, 907, 908, 909, 914, 915, 916, 917], "classic": [367, 381, 415, 505, 508, 522, 525, 538, 541, 687, 690, 703, 706, 792, 795, 808, 811], "claudia": 453, "clearli": [271, 433, 434], "close": [3, 4, 13, 28, 43, 58, 73, 87, 88, 270, 275, 278, 433, 437, 440, 907, 912, 913, 914, 915], "closer": [251, 915], "cm": [442, 548], "cm_param": 548, "cmd": 96, "co": [110, 111, 112, 113], "code": [3, 94, 95, 271, 280, 433, 434, 437, 912, 913, 914], "coef": [434, 907, 911, 912, 914, 915], "coeffici": [278, 290, 411, 433, 516, 532, 697, 713, 872, 914], "cointegr": [95, 248, 275, 278], "cointegrating_vector": 433, "cointegrationaltern": 433, "cointegrationanalysisresult": [367, 415], "cointegrationdistribut": 433, "col": [271, 911], "collect": 914, "colleg": 280, "color": [913, 915], "color_palett": 915, "column": [3, 10, 14, 29, 44, 59, 74, 87, 88, 102, 254, 255, 256, 259, 265, 269, 271, 434, 437, 451, 472, 475, 483, 485, 490, 492, 500, 502, 510, 516, 527, 532, 543, 548, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 672, 674, 682, 684, 692, 697, 708, 713, 721, 723, 731, 733, 751, 753, 761, 763, 797, 802, 813, 826, 854, 893, 895, 903, 905, 911, 913, 914, 915], "combin": [4, 89, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 433], "come": [90, 433], "common": [3, 7, 10, 95, 271, 284, 290, 367, 381, 415, 430, 434, 437, 438, 440, 441, 442, 450, 451, 452, 458, 907, 916], "common_asym": 438, "compar": [3, 14, 29, 44, 59, 74, 89, 272, 434, 440, 441, 442, 451, 452, 458, 907], "comparison": [93, 248, 250, 251, 252, 270, 434, 912], "compat": [91, 96, 97, 98], "compet": 271, "compil": [92, 96], "complet": [89, 271, 386, 435, 907, 915], "complex": [510, 527, 543, 692, 708, 797, 813, 826, 854], "complic": 914, "compon": [3, 275, 276, 277, 278, 280, 436, 455, 472, 490, 508, 525, 541, 556, 573, 590, 607, 625, 642, 672, 690, 706, 721, 748, 751, 795, 811, 893, 907, 915], "comput": [3, 4, 10, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 95, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 251, 252, 259, 261, 265, 271, 277, 278, 290, 295, 308, 320, 331, 345, 359, 434, 437, 463, 472, 475, 481, 483, 485, 490, 492, 498, 500, 502, 505, 508, 510, 515, 522, 525, 527, 531, 538, 541, 543, 547, 556, 558, 564, 566, 568, 573, 575, 581, 583, 585, 590, 592, 598, 600, 602, 607, 609, 615, 618, 620, 625, 627, 633, 635, 637, 642, 644, 650, 652, 654, 656, 660, 668, 672, 674, 680, 682, 684, 687, 690, 692, 696, 703, 706, 708, 712, 721, 723, 729, 731, 733, 735, 739, 747, 751, 753, 759, 761, 763, 765, 769, 777, 778, 782, 790, 792, 795, 797, 801, 808, 811, 813, 817, 825, 826, 827, 849, 854, 855, 873, 885, 893, 895, 901, 903, 905, 911, 913, 914, 915], "concat": [271, 911, 914, 915], "concaten": [516, 532, 548, 697, 713, 911], "conceptu": [4, 911], "conclus": [433, 434], "cond": 434, "cond_mean": 913, "cond_var": 913, "conda": 95, "condit": [4, 95, 279, 434, 437, 438, 440, 444, 446, 448, 456, 458, 459, 460, 463, 467, 472, 485, 490, 502, 511, 516, 532, 548, 556, 568, 573, 585, 590, 602, 607, 620, 625, 637, 642, 654, 660, 672, 684, 697, 713, 721, 733, 739, 751, 763, 769, 782, 802, 823, 825, 833, 835, 837, 838, 840, 847, 849, 863, 870, 877, 893, 905, 908, 913, 914], "conditional_volatil": [912, 913, 914, 915], "conduct": 89, "conf": [907, 911, 912, 914, 915], "conf_int": [3, 4, 89, 92], "confid": [1, 2, 3, 14, 29, 44, 59, 74, 89, 95, 249, 250, 253, 850], "configur": 907, "confirm": 434, "conflict": [11, 26, 41, 56, 71], "consecut": 10, "conserv": 10, "consid": [89, 270, 284, 289, 911], "consider": 911, "consist": [91, 98, 251, 252, 259, 261, 262, 271, 277, 278, 381, 433, 911, 912, 914, 915], "const": [3, 433, 434, 911, 912, 914], "constant": [10, 95, 119, 122, 129, 132, 143, 146, 153, 156, 163, 166, 173, 176, 183, 186, 193, 196, 203, 206, 213, 216, 223, 226, 233, 236, 243, 246, 275, 276, 277, 278, 280, 282, 284, 287, 289, 290, 430, 433, 434, 437, 440, 441, 442, 443, 451, 452, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 769, 797, 802, 813, 827, 855, 907, 912, 915], "constantcrit": 433, "constantmean": [907, 914, 915], "constrain": [658, 737, 767, 780, 875], "constraint": [509, 526, 542, 691, 707, 796, 812], "construct": [2, 3, 4, 5, 6, 8, 9, 89, 96, 271, 437, 446, 468, 473, 485, 487, 491, 502, 504, 506, 508, 509, 510, 521, 523, 525, 526, 527, 537, 539, 541, 542, 543, 553, 557, 568, 570, 574, 585, 587, 591, 602, 604, 608, 620, 622, 626, 637, 639, 643, 654, 658, 668, 669, 673, 684, 686, 688, 690, 691, 692, 702, 704, 706, 707, 708, 718, 733, 737, 747, 748, 752, 763, 767, 777, 780, 790, 791, 793, 795, 796, 797, 807, 809, 811, 812, 813, 826, 836, 850, 854, 871, 875, 885, 889, 890, 894, 905, 907, 911, 914, 915], "constructor": [96, 914], "contain": [0, 2, 3, 4, 5, 6, 7, 8, 9, 12, 14, 15, 17, 22, 23, 25, 27, 29, 30, 32, 37, 38, 40, 42, 44, 45, 47, 48, 52, 53, 55, 57, 59, 60, 62, 67, 68, 70, 72, 74, 75, 77, 82, 83, 85, 87, 89, 90, 95, 96, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 248, 250, 256, 261, 269, 271, 272, 278, 284, 292, 300, 305, 313, 318, 324, 329, 336, 342, 351, 357, 363, 379, 398, 402, 413, 419, 428, 430, 432, 433, 434, 437, 440, 441, 442, 447, 451, 452, 458, 460, 461, 462, 463, 466, 472, 475, 483, 485, 490, 492, 500, 502, 508, 509, 510, 516, 525, 526, 527, 532, 541, 542, 543, 548, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 656, 668, 672, 674, 682, 684, 690, 691, 692, 697, 706, 707, 708, 713, 721, 723, 731, 733, 735, 751, 753, 761, 763, 765, 777, 778, 790, 795, 796, 797, 802, 811, 812, 813, 825, 826, 833, 836, 839, 849, 850, 854, 863, 871, 873, 893, 895, 903, 905, 911, 913, 914, 915], "contamin": 271, "contemporan": 284, "continu": [89, 248], "control": [3, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 252, 270, 271, 272, 456, 914], "convent": 911, "converg": [95, 433, 440, 441, 442, 451, 452, 458, 508, 525, 541, 690, 706, 795, 811, 860, 907, 912, 914, 915], "convergencewarn": [508, 525, 541, 690, 706, 795, 811], "convers": 915, "convert": [510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855], "copi": [95, 96, 434, 911, 913], "core": [3, 273, 437, 914], "core_cpi": 914, "corpor": 434, "correct": [10, 14, 29, 44, 59, 74, 271, 509, 526, 542, 691, 707, 796, 812, 911], "correctli": [95, 434, 914], "correl": [3, 4, 271, 278, 279, 280], "correspond": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 251, 262, 271, 485, 502, 508, 510, 525, 527, 541, 543, 568, 585, 602, 620, 637, 654, 684, 690, 692, 706, 708, 733, 763, 795, 797, 811, 813, 826, 854, 905, 913, 914], "could": 915, "count": [3, 434, 907, 912, 913, 914], "cousin": 89, "cov": [3, 14, 29, 44, 59, 74, 88, 92, 283, 285], "cov_typ": [285, 381, 463, 508, 525, 541, 690, 706, 795, 811], "covari": [2, 3, 4, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 95, 97, 248, 277, 278, 282, 285, 287, 290, 334, 367, 368, 369, 370, 371, 381, 382, 383, 384, 385, 387, 390, 415, 417, 421, 433, 434, 463, 505, 508, 522, 525, 538, 541, 687, 690, 703, 706, 792, 795, 808, 811, 861, 907, 911, 912, 914, 915], "covarianceestim": [99, 117, 127, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 283, 285, 288], "coverag": [14, 29, 44, 59, 74], "cpi": [275, 276, 277, 278, 914], "cpilfesl": 914, "craig": 279, "crash": 280, "crc": 1, "creat": [3, 5, 6, 7, 8, 9, 24, 39, 54, 69, 84, 96, 250, 251, 252, 447, 914], "creation": [1, 249], "crisi": [433, 915], "crit_val": [261, 286, 288], "criteria": [822, 824, 846, 848], "criterion": 284, "critic": [259, 261, 275, 276, 277, 278, 286, 289, 292, 300, 305, 313, 318, 324, 329, 336, 342, 351, 357, 363, 402, 413, 419, 428, 430, 433, 434, 916], "critical_valu": 916, "cross": [7, 286, 289, 290, 381, 433], "crude": 433, "crude_ret": 914, "csv": [379, 398], "ct": [273, 275, 276, 277, 278, 280, 282, 283, 284, 285, 287, 289, 290, 430, 433, 434], "ctt": [273, 275, 282, 283, 284, 285, 287, 289, 290, 430, 433, 434], "cumul": [657, 665, 736, 744, 766, 774, 779, 787, 874, 882], "current": [18, 33, 48, 63, 78, 95, 278, 907, 912, 913, 914], "cush": 433, "custom": [510, 527, 543, 692, 708, 797, 813, 826, 854], "cycl": 455, "cython": [96, 97, 465], "d": [1, 2, 4, 10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 275, 277, 278, 280, 430, 437, 440, 441, 446, 451, 510, 527, 543, 667, 692, 708, 746, 776, 789, 797, 813, 826, 827, 833, 854, 855, 863, 884, 911, 912, 914], "d_": [10, 282, 287], "d_t": [284, 289, 290, 433], "dagger": 911, "dai": [437, 833, 863, 915], "daili": [445, 455, 833, 863], "dark": 915, "darkgrid": [3, 271, 433, 434, 911, 912, 913, 914, 915], "data": [2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 89, 90, 95, 96, 97, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 248, 249, 250, 251, 252, 261, 271, 275, 276, 277, 278, 279, 280, 281, 282, 287, 290, 295, 303, 308, 316, 320, 327, 331, 340, 345, 355, 359, 366, 367, 381, 415, 430, 432, 433, 434, 437, 440, 441, 442, 447, 451, 452, 453, 458, 460, 463, 479, 496, 510, 516, 527, 532, 543, 548, 562, 579, 596, 613, 631, 648, 660, 678, 692, 697, 708, 713, 727, 739, 757, 769, 782, 797, 802, 813, 825, 826, 827, 830, 833, 849, 854, 855, 858, 863, 868, 877, 899, 907, 914, 915], "datafram": [2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 134, 135, 136, 137, 250, 251, 252, 256, 259, 269, 271, 273, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 287, 289, 290, 303, 316, 327, 340, 355, 366, 369, 383, 385, 430, 434, 437, 440, 441, 442, 451, 452, 458, 459, 510, 515, 516, 519, 520, 527, 531, 532, 535, 536, 543, 547, 548, 551, 552, 660, 692, 696, 697, 700, 701, 708, 712, 713, 716, 717, 739, 769, 782, 797, 801, 802, 805, 806, 813, 817, 818, 821, 826, 837, 838, 840, 850, 854, 861, 877, 907, 913, 914], "dataread": [4, 87, 88, 430, 907], "dataset": [3, 275, 276, 277, 278, 911], "date": [5, 6, 7, 8, 9, 97, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 911, 912, 913, 914, 915], "date_rang": [4, 87, 88, 451, 510, 527, 543, 692, 708, 797, 813, 827, 855], "datelik": 273, "datetim": [4, 87, 88, 273, 430, 437, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855, 907, 914], "datetime64": [273, 437, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855], "davidson": 1, "davidsonmackinnon": 1, "davison": 1, "dcoilwtico": 914, "de": 434, "debias": [14, 29, 44, 59, 74, 279, 290], "dec": 907, "decemb": 437, "decis": 251, "def": [3, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 911, 915], "default": [4, 14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 95, 97, 250, 251, 252, 271, 275, 276, 277, 278, 279, 280, 281, 430, 434, 437, 438, 445, 446, 448, 455, 475, 485, 492, 502, 510, 527, 543, 558, 568, 575, 585, 592, 602, 609, 620, 627, 637, 644, 654, 668, 674, 684, 692, 708, 723, 733, 753, 763, 797, 813, 826, 827, 854, 855, 895, 905, 907, 911, 913, 914, 915], "default_data": 434, "default_rng": [3, 5, 6, 8, 9, 96, 250, 251, 252, 271, 449, 454, 456, 457], "defin": [4, 94, 102, 271, 282, 287, 290, 375, 394, 430], "degre": [95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 285, 377, 396, 777, 790, 867, 914, 916], "delta": [4, 282, 284, 287, 411, 433, 438, 471], "delta_": 446, "delta_1": 446, "delta_i": 411, "delta_j": 446, "demean": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240, 915], "demo": 3, "demonstr": [87, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907], "denomin": 433, "densiti": [456, 665, 744, 774, 787, 882, 913], "dep": [434, 907, 911, 912, 914, 915], "dep_var": [460, 463], "depart": 280, "depend": [3, 7, 10, 12, 27, 42, 57, 72, 86, 88, 95, 96, 97, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 261, 270, 277, 278, 434, 440, 441, 442, 451, 452, 458, 460, 463, 516, 520, 532, 536, 548, 552, 697, 701, 713, 717, 747, 802, 806, 821, 885, 907, 911, 913], "deprec": [5, 6, 8, 9, 92, 93, 96, 449, 454, 456, 457, 666, 745, 775, 788, 883], "dept": [275, 278], "deriv": [505, 522, 538, 687, 703, 792, 808], "describ": [3, 10, 275, 434, 437, 440, 441, 442, 451, 452, 458, 463], "descript": [4, 277, 280, 286, 440, 441, 451], "design": 272, "desir": [89, 915], "detail": [4, 250, 251, 252, 271, 277, 278, 279, 282, 284, 287, 290, 453, 664, 743, 773, 786, 839, 881, 913], "determin": [122, 123, 132, 133, 146, 147, 156, 157, 166, 167, 176, 177, 186, 187, 196, 197, 206, 207, 216, 217, 226, 227, 236, 237, 246, 247, 271, 280, 289, 432, 455, 664, 743, 773, 786, 881], "determinist": [282, 284, 287, 289, 290, 292, 301, 305, 314, 318, 325, 329, 338, 342, 352, 357, 364, 381, 433, 911], "detrend": [96, 276, 290, 434], "devel": 248, "develop": 248, "deviat": [3, 4, 87, 88, 271, 823, 847, 911, 915], "devic": 911, "df": [293, 306, 319, 330, 344, 358, 430, 434, 907, 911, 912, 914, 915, 916], "df_adjust": [100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 283, 285, 367, 375, 381, 390, 394, 415], "dfgl": [96, 432, 434], "diag": [3, 4], "diciccio": 1, "diciccioefron": 1, "dickei": [93, 95, 275, 276, 289, 290, 404, 411, 430, 432, 433], "dict": [5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 18, 22, 23, 25, 26, 27, 29, 30, 32, 33, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 52, 53, 54, 55, 56, 57, 59, 60, 62, 63, 67, 68, 70, 71, 72, 74, 75, 77, 78, 82, 83, 85, 273, 292, 305, 318, 329, 342, 357, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 916], "dictionari": [3, 5, 6, 7, 8, 9, 12, 15, 17, 22, 23, 25, 27, 30, 32, 37, 38, 40, 42, 45, 47, 48, 52, 53, 55, 57, 60, 62, 67, 68, 70, 72, 75, 77, 82, 83, 85, 87, 292, 305, 318, 329, 342, 357, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "did": 95, "diff": [275, 276, 277, 278, 367, 415, 430, 434], "differ": [2, 3, 13, 14, 28, 29, 43, 44, 58, 59, 73, 74, 86, 89, 96, 251, 270, 271, 276, 282, 284, 287, 289, 290, 430, 434, 437, 440, 441, 442, 451, 452, 458, 907, 911, 913, 914], "differenc": [367, 415, 446], "differenti": [251, 252], "difficulti": [508, 525, 541, 690, 706, 795, 811], "dim0": 911, "dimens": [286, 510, 527, 543, 692, 708, 797, 813, 826, 841, 854, 911], "dimension": [10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 89, 911, 912], "dimitri": 10, "direct": [14, 29, 44, 59, 74, 453, 914], "directli": [4, 5, 6, 7, 8, 9, 87, 89, 434, 823, 847, 907, 912], "disabl": [96, 508, 525, 541, 690, 706, 795, 811], "discard": 279, "discuss": [280, 510, 527, 543, 692, 708, 797, 813], "disp": [3, 441, 508, 525, 541, 690, 706, 795, 811, 833, 863, 911, 912, 913, 914, 915], "displai": [508, 525, 541, 690, 706, 795, 811], "dist": [437, 907, 913, 914, 915], "distinct": [290, 433, 911], "distribut": [2, 4, 5, 8, 9, 10, 89, 90, 94, 95, 96, 251, 275, 278, 286, 290, 433, 437, 440, 441, 442, 449, 451, 452, 454, 456, 457, 458, 459, 509, 516, 526, 532, 542, 548, 657, 659, 660, 661, 662, 663, 664, 665, 666, 667, 691, 697, 707, 713, 736, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 766, 768, 769, 770, 771, 772, 773, 774, 775, 776, 779, 781, 782, 783, 784, 785, 786, 787, 788, 789, 796, 802, 812, 907, 910, 911, 912, 913, 915], "diverg": 433, "divid": [87, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 823, 847, 907, 914], "djia": [279, 907], "do": [10, 12, 27, 42, 57, 72, 282, 287, 437, 451, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 911, 913, 916], "doc": [95, 96, 248], "document": [4, 91, 98, 248, 437], "doe": [12, 27, 42, 57, 72, 90, 271, 290, 375, 394, 434, 485, 502, 508, 525, 541, 568, 585, 602, 620, 637, 654, 684, 690, 706, 733, 763, 795, 811, 905, 907, 913], "doi": [10, 248], "dol": 284, "done": [4, 911], "dot": [4, 89, 271, 473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 722, 737, 752, 767, 780, 793, 809, 875, 894], "download": [3, 4, 434, 914], "downstream": 96, "dpi": [3, 271, 433, 434, 911, 912, 913, 914, 915], "dramat": 914, "draw": [437, 667, 746, 776, 789, 884, 915], "drawn": [437, 915], "drift": 279, "drop": [95, 434, 913], "dropna": [3, 4, 87, 88, 437, 440, 907, 912, 913, 914, 915], "dt": [4, 87, 88, 430, 437, 907, 914], "dtype": [3, 11, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 29, 30, 32, 33, 36, 37, 38, 39, 40, 41, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 59, 60, 62, 63, 66, 67, 68, 69, 70, 71, 74, 75, 77, 78, 81, 82, 83, 84, 85, 88, 102, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 258, 259, 264, 265, 268, 271, 273, 433, 440, 441, 447, 451, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 510, 515, 516, 517, 522, 523, 525, 527, 531, 532, 533, 538, 539, 541, 543, 547, 548, 549, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 692, 696, 697, 698, 703, 704, 706, 708, 712, 713, 714, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 774, 776, 777, 778, 779, 780, 782, 787, 789, 790, 792, 793, 795, 797, 801, 802, 803, 808, 809, 811, 813, 817, 819, 825, 826, 834, 835, 842, 843, 844, 845, 849, 854, 865, 870, 873, 874, 875, 877, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 907, 911, 913, 914, 915], "due": [96, 295, 308, 320, 331, 345, 359, 433, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 912, 915], "dummi": 280, "durbin": 434, "dure": [437, 915], "dx": [664, 743, 773, 786, 881], "dynam": [284, 285, 381, 432, 437, 438, 439, 444, 445, 446, 448, 450, 455, 911, 913, 914], "dynamicol": [95, 432], "dynamicolsresult": 381, "e": [3, 86, 89, 94, 95, 96, 270, 271, 280, 282, 287, 381, 437, 446, 448, 456, 907, 911, 913], "e1": 4, "e2": 4, "e_": [437, 444, 911], "e_t": [95, 437, 907, 913, 914], "each": [3, 4, 7, 11, 14, 26, 29, 41, 44, 48, 56, 59, 71, 74, 86, 271, 280, 437, 465, 470, 473, 489, 491, 510, 527, 543, 555, 557, 572, 574, 589, 591, 606, 608, 624, 626, 641, 643, 671, 673, 692, 708, 720, 748, 750, 752, 797, 813, 826, 854, 892, 894, 911], "earch": 444, "earliest": [827, 855], "easi": 912, "easili": [271, 437, 913, 915], "econom": [249, 251, 275, 276, 277, 278, 280, 456, 914], "econometr": [1, 10, 275, 277, 279, 282, 284, 287, 290, 453], "econometrica": [249, 250, 251, 252, 276, 277, 278, 282, 284, 290], "edu": 456, "effect": [89, 915], "effici": 276, "efron": 1, "efrontibshirani": 1, "eg": 433, "eg_test": 433, "egarch": [437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 908], "either": [4, 14, 20, 29, 35, 44, 50, 59, 65, 74, 80, 86, 250, 282, 287, 381, 475, 492, 508, 510, 516, 525, 527, 532, 541, 543, 558, 575, 592, 609, 627, 644, 674, 690, 692, 697, 706, 708, 713, 723, 753, 795, 797, 811, 813, 826, 827, 854, 855, 895, 907, 910, 911, 913, 914, 915], "element": [4, 5, 6, 7, 8, 9, 48, 87, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 271, 430, 440, 441, 442, 451, 452, 458, 470, 485, 489, 502, 510, 527, 543, 555, 568, 572, 585, 589, 602, 606, 620, 624, 637, 641, 654, 671, 684, 692, 708, 720, 733, 750, 763, 797, 813, 825, 826, 849, 854, 892, 905, 911], "elif": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 913], "elimin": [14, 29, 44, 59, 74, 250], "elliott": 276, "els": [911, 913], "empir": [4, 913], "empti": [739, 911], "empty_lik": 912, "en": 914, "enabl": [92, 95], "encount": 89, "end": [0, 4, 5, 87, 88, 90, 101, 106, 107, 108, 109, 110, 111, 112, 113, 279, 280, 282, 287, 290, 430, 437, 510, 527, 543, 692, 708, 797, 813, 826, 853, 854, 907, 911], "end_loc": 913, "endog": 3, "energi": 433, "enforc": 447, "engl": [95, 286, 289, 290, 381, 432, 433], "engle_grang": [95, 290, 381, 432, 433], "englegrangertestresult": 289, "enhanc": 97, "ensur": [5, 6, 7, 8, 9, 89, 290, 449, 454, 456, 457, 485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905], "enter": [5, 6, 7, 8, 9, 12, 27, 42, 57, 72, 908], "entir": [913, 915], "entri": [508, 525, 541, 690, 706, 795, 811], "entropi": [3, 5, 6, 8, 9, 449, 454, 456, 457], "env": 96, "environ": [91, 95, 98], "environment": 96, "ep": [508, 525, 541, 690, 706, 795, 811], "epsilon": [375, 394, 437, 445], "epsilon_": [282, 287, 437, 438, 439, 444, 446, 448, 450, 453, 907, 913, 914], "epsilon_t": [284, 289, 381, 411, 433, 437, 440, 441, 442, 446, 451, 452, 458, 907, 911, 914], "eqnarrai": [437, 907], "equal": [259, 271, 284, 508, 525, 541, 690, 706, 795, 811], "equat": [437, 440, 446], "equiti": 3, "equival": [6, 271, 381, 440, 451, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907, 911, 915], "er": 276, "err": [434, 907, 911, 912, 914, 915], "error": [3, 4, 14, 29, 44, 59, 74, 95, 252, 270, 271, 272, 278, 378, 379, 381, 397, 398, 434, 440, 441, 442, 449, 451, 452, 458, 505, 507, 510, 516, 522, 524, 527, 532, 538, 540, 543, 548, 660, 687, 689, 692, 697, 703, 705, 708, 713, 792, 794, 797, 802, 808, 810, 813, 825, 826, 849, 854, 869, 907, 911], "especi": 95, "essenti": [0, 270], "estim": [2, 4, 5, 8, 9, 10, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 89, 94, 95, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, 117, 121, 122, 123, 124, 126, 127, 131, 132, 133, 134, 135, 136, 137, 138, 140, 141, 145, 146, 147, 148, 150, 151, 155, 156, 157, 158, 160, 161, 165, 166, 167, 168, 170, 171, 175, 176, 177, 178, 180, 181, 185, 186, 187, 188, 190, 191, 195, 196, 197, 198, 200, 201, 205, 206, 207, 208, 210, 211, 215, 216, 217, 218, 220, 221, 225, 226, 227, 228, 230, 231, 235, 236, 237, 238, 240, 241, 245, 246, 247, 248, 262, 271, 277, 278, 281, 282, 284, 285, 287, 289, 290, 293, 298, 306, 311, 319, 330, 344, 347, 349, 358, 367, 368, 369, 370, 371, 372, 375, 379, 381, 382, 383, 384, 387, 390, 391, 394, 398, 401, 411, 415, 417, 418, 421, 432, 433, 434, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 451, 452, 456, 458, 460, 463, 465, 467, 471, 473, 474, 485, 491, 502, 504, 508, 510, 521, 525, 527, 537, 541, 543, 557, 568, 574, 585, 591, 602, 608, 620, 626, 637, 643, 654, 668, 673, 684, 686, 690, 692, 702, 706, 708, 733, 747, 752, 763, 777, 790, 791, 795, 797, 807, 811, 813, 823, 825, 826, 827, 830, 847, 849, 852, 853, 854, 855, 858, 868, 885, 894, 905, 907, 909, 911, 913, 914, 915, 917], "estimator_typ": 283, "et": [277, 664, 743, 773, 786, 881], "eta": [282, 287, 456, 769, 914], "eta_": [282, 287], "eta_t": [282, 287], "etc": [10, 437, 914], "evalu": [271, 510, 527, 543, 657, 692, 708, 736, 766, 779, 797, 813, 826, 854, 874, 877, 907, 912, 913, 914], "even": [87, 259, 433, 467, 914], "everi": [508, 525, 541, 690, 706, 795, 811], "evid": [280, 433], "evolv": [437, 453, 485, 502, 510, 527, 543, 568, 585, 602, 620, 637, 654, 684, 692, 708, 733, 763, 797, 813, 826, 827, 854, 855, 905, 914], "ewma": [95, 445, 455, 748, 914], "ewmavari": 914, "ex": [516, 532, 697, 713], "exact": [4, 89, 279, 433, 434], "exactli": 911, "examin": 271, "exampl": [2, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 95, 248, 271, 272, 275, 276, 277, 278, 279, 432, 434, 438, 439, 440, 441, 442, 444, 445, 446, 448, 450, 451, 452, 453, 455, 458, 465, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 826, 827, 833, 854, 855, 863, 907, 910, 911, 912, 913, 914, 915, 917], "exceed": 913, "except": [95, 96, 270, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913, 914, 915], "excess": [3, 434], "excess_market": [3, 434], "exclud": [271, 280, 440, 441, 442, 451, 452, 458, 907], "exit": [907, 912, 913, 914], "exog": [3, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "exog_dict": 911, "exog_fcast": 911, "exogen": [95, 96, 440, 441, 451, 452, 510, 516, 519, 527, 532, 535, 543, 551, 692, 697, 700, 708, 713, 716, 797, 805, 813, 826, 854, 907, 910, 914], "exp": [5, 8, 10], "expand": 248, "expect": [270, 271, 430, 911, 913], "expens": 89, "experi": [3, 7], "experiment": 86, "explain": 437, "explicit": 3, "exploit": [3, 437], "expon": 9, "exponenti": [90, 444, 445, 914], "export": [96, 379, 398, 836, 871], "expos": [433, 914, 915, 917], "express": 290, "extend": [96, 432], "extens": [95, 96, 277], "extern": 915, "extra": [11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 251, 252], "extra_kwarg": [3, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 95], "extrem": 3, "f": [275, 276, 277, 278, 279, 280, 434, 440, 657, 664, 736, 739, 743, 766, 773, 779, 786, 874, 881, 911], "facilit": [89, 836, 871], "fact": 270, "factor": [3, 271], "fail": 95, "fairli": 914, "fals": [14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 88, 95, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 279, 284, 290, 367, 381, 398, 415, 434, 438, 440, 441, 442, 447, 451, 452, 453, 458, 461, 505, 508, 522, 525, 527, 538, 541, 543, 660, 687, 690, 692, 703, 706, 708, 739, 769, 782, 792, 795, 797, 808, 811, 813, 823, 826, 847, 854, 877, 907, 911, 913, 915], "fama": 3, "famili": [3, 252, 271, 433, 434, 911, 912, 913, 914, 915], "familywis": [270, 271, 272], "faster": 915, "favor": [96, 433], "fcast": [911, 913], "featur": [95, 911, 914], "feder": 914, "few": 437, "ff": [3, 434], "ffill": [4, 87, 88], "fh": 915, "fiarch": 446, "fiavarch": 446, "fiavgarch": 446, "fig": [3, 271, 433, 434, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 913, 914, 915], "figarch": [95, 96, 97, 907], "figsiz": [3, 271, 433, 434, 911, 912, 913, 914, 915], "figur": [3, 271, 408, 424, 433, 434, 827, 833, 855, 863, 911, 912, 913, 914, 915], "fill": [437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 912], "filter": [912, 915], "final": [4, 271, 290, 432, 434, 436, 437, 451, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 911, 913, 914, 915], "financ": [88, 914], "financi": [248, 279, 433, 434, 914, 915], "find": [3, 271, 508, 525, 541, 690, 706, 795, 811, 915], "finit": 276, "firmli": 433, "first": [3, 5, 6, 7, 8, 9, 10, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 87, 89, 271, 290, 430, 432, 433, 434, 437, 451, 463, 475, 492, 508, 509, 510, 525, 526, 527, 541, 542, 543, 558, 575, 592, 609, 627, 644, 674, 690, 691, 692, 706, 707, 708, 723, 753, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855, 895, 911, 912, 913, 914, 915], "first_ob": [94, 95, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 913], "fit": [94, 95, 271, 285, 437, 440, 441, 442, 445, 451, 452, 458, 463, 510, 517, 527, 533, 543, 549, 692, 698, 708, 714, 797, 803, 813, 819, 826, 827, 829, 833, 836, 854, 855, 857, 863, 871, 907, 912, 913, 914, 915, 916], "fit_start": 463, "fit_stop": 463, "fix": [89, 90, 94, 95, 96, 97, 434, 437, 438, 445, 447, 455, 460, 909, 910, 917], "fixed_r": 914, "fixedvari": 95, "flag": [14, 20, 29, 35, 44, 50, 59, 65, 74, 80, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 251, 252, 275, 284, 398, 440, 441, 442, 447, 451, 452, 453, 458, 484, 501, 505, 508, 522, 525, 538, 541, 567, 584, 601, 619, 636, 653, 660, 683, 687, 690, 703, 706, 732, 739, 762, 769, 782, 792, 795, 808, 811, 823, 847, 851, 877, 904, 907], "float": [14, 15, 17, 22, 23, 25, 29, 30, 32, 37, 38, 40, 44, 45, 47, 52, 53, 55, 59, 60, 62, 67, 68, 70, 74, 75, 77, 82, 83, 85, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 119, 122, 123, 124, 125, 129, 132, 133, 138, 139, 143, 146, 147, 148, 149, 153, 156, 157, 158, 159, 163, 166, 167, 168, 169, 173, 176, 177, 178, 179, 183, 186, 187, 188, 189, 193, 196, 197, 198, 199, 203, 206, 207, 208, 209, 213, 216, 217, 218, 219, 223, 226, 227, 228, 229, 233, 236, 237, 238, 239, 243, 246, 247, 250, 252, 259, 261, 273, 280, 281, 283, 286, 288, 292, 297, 299, 305, 310, 312, 318, 322, 323, 329, 333, 335, 342, 348, 350, 354, 357, 361, 362, 367, 368, 371, 375, 376, 377, 382, 390, 394, 395, 396, 409, 411, 412, 415, 417, 425, 427, 438, 440, 445, 446, 448, 455, 460, 463, 468, 469, 470, 472, 474, 475, 479, 483, 485, 487, 488, 489, 490, 492, 496, 500, 502, 504, 505, 508, 509, 511, 516, 521, 522, 525, 526, 532, 537, 538, 541, 542, 548, 553, 554, 555, 556, 558, 562, 566, 568, 570, 571, 572, 573, 575, 579, 583, 585, 587, 588, 589, 590, 592, 596, 600, 602, 604, 605, 606, 607, 609, 613, 618, 620, 622, 623, 624, 625, 627, 631, 635, 637, 639, 640, 641, 642, 644, 648, 652, 654, 656, 657, 660, 661, 664, 665, 667, 669, 670, 671, 672, 674, 678, 682, 684, 686, 687, 690, 691, 697, 702, 703, 706, 707, 713, 718, 719, 720, 721, 723, 727, 731, 733, 735, 736, 739, 740, 743, 744, 746, 748, 749, 750, 751, 753, 757, 761, 763, 765, 766, 769, 770, 773, 774, 776, 778, 779, 782, 783, 786, 787, 789, 791, 792, 795, 796, 802, 807, 808, 811, 812, 818, 822, 824, 828, 833, 846, 848, 850, 856, 863, 866, 867, 868, 873, 874, 877, 878, 881, 882, 884, 890, 891, 892, 893, 895, 899, 903, 905, 907, 911, 916], "float64": [3, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 88, 102, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 271, 273, 433, 447, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 510, 515, 516, 517, 522, 523, 525, 527, 531, 532, 533, 538, 539, 541, 543, 547, 548, 549, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 692, 696, 697, 698, 703, 704, 706, 708, 712, 713, 714, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 774, 776, 777, 778, 779, 780, 782, 787, 789, 790, 792, 793, 795, 797, 801, 802, 803, 808, 809, 811, 813, 817, 819, 825, 826, 834, 835, 842, 843, 844, 845, 849, 854, 865, 870, 873, 874, 875, 877, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 911, 913, 914, 915], "float64arrai": 273, "floatorarrai": 273, "flush": 913, "fo": 911, "follow": [280, 448, 465, 907, 911, 913, 915], "font": [3, 271, 433, 434, 911, 912, 913, 914, 915], "forc": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 290, 367, 381, 415], "force_int": [100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 290, 367, 381, 415], "forecast": [94, 95, 96, 97, 270, 271, 461, 462, 466, 827, 837, 838, 840, 855, 887, 889, 910, 915], "forecast_1d": 911, "forecast_2d": 911, "forecast_path": 466, "forecast_x": 911, "forecastingmethod": 273, "form": [4, 89, 90, 271, 282, 284, 287, 437, 440, 451, 473, 491, 557, 574, 591, 608, 626, 643, 673, 752, 894, 913, 914], "formal": [249, 252, 270], "format": [430, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "formula": [4, 103], "foroni": 453, "forward": 437, "found": 277, "four": [432, 433], "frac": [4, 10, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 284, 290, 437, 446, 450, 660, 739, 769, 782], "fraction": [95, 446], "frame": 273, "frameon": [911, 913, 915], "framework": [92, 434], "franc": 277, "fred": [430, 434, 912, 914], "free": 911, "freedom": [95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 285, 377, 396, 777, 790, 867, 914, 916], "french": [3, 434], "frenchdata": [3, 434], "freq": [4, 87, 88, 451], "frequenc": [453, 508, 525, 541, 690, 706, 795, 811, 833, 863, 914], "fresh": [5, 6, 8, 9, 13, 28, 43, 58, 73], "fri": 907, "from": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 94, 95, 96, 97, 99, 102, 250, 254, 270, 271, 275, 276, 277, 278, 279, 280, 282, 284, 285, 287, 289, 290, 298, 311, 367, 381, 390, 410, 411, 415, 426, 430, 433, 434, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 448, 450, 451, 452, 453, 455, 458, 460, 461, 462, 463, 465, 467, 475, 479, 492, 496, 509, 510, 516, 517, 526, 527, 532, 533, 542, 543, 548, 549, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 664, 667, 674, 678, 691, 692, 697, 698, 707, 708, 713, 714, 723, 727, 743, 746, 753, 757, 773, 776, 786, 789, 796, 797, 802, 803, 812, 813, 819, 826, 827, 833, 836, 854, 855, 860, 863, 871, 881, 884, 895, 899, 907, 908, 911, 912, 913, 915, 917], "front": 280, "ftol": [508, 525, 541, 690, 706, 795, 811], "full": [3, 91, 98, 398], "fuller": [93, 95, 275, 276, 289, 290, 404, 411, 430, 432, 433], "fulli": [89, 287, 432], "fullymodifiedol": [95, 432], "func": [11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 907, 912, 913, 914], "function": [0, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 89, 91, 92, 93, 95, 98, 271, 275, 278, 281, 440, 453, 465, 479, 496, 562, 579, 596, 613, 631, 648, 657, 660, 665, 678, 727, 736, 744, 757, 766, 769, 774, 779, 782, 787, 874, 882, 899, 907, 911, 912, 913, 914, 915], "functool": 89, "further": [277, 280, 282, 284, 287, 453, 913], "futur": [91, 92, 95, 97, 98, 248, 510, 527, 543, 692, 708, 797, 813], "fv": 912, "fwer": 252, "g": [1, 3, 4, 10, 86, 94, 95, 96, 275, 276, 277, 278, 280, 437, 440, 907, 913], "gallant": 281, "gamma": [284, 287, 289, 290, 411, 433, 440, 441, 451, 452, 453, 660, 722, 769, 782, 912, 914, 915], "gamma_": [10, 438, 444, 448], "gamma_0": 102, "gamma_1": [282, 287], "gamma_2": [282, 287], "gamma_i": 438, "garch": [95, 437, 440, 441, 516, 532, 548, 697, 713, 802, 907, 908, 911, 912, 913, 915], "garch_param": [516, 532, 548, 697, 713], "gaussian": 907, "gca": 913, "ged": [660, 907], "gen": 271, "gener": [2, 3, 5, 6, 7, 8, 9, 12, 13, 15, 17, 19, 21, 22, 23, 25, 27, 28, 30, 32, 34, 36, 37, 38, 40, 42, 43, 45, 47, 49, 51, 52, 53, 55, 57, 58, 60, 62, 64, 66, 67, 68, 70, 72, 73, 75, 77, 79, 81, 82, 83, 85, 89, 92, 95, 96, 250, 251, 252, 258, 264, 268, 271, 277, 280, 437, 449, 450, 454, 456, 457, 464, 466, 475, 479, 492, 496, 508, 509, 510, 525, 526, 527, 541, 542, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 660, 666, 674, 678, 690, 691, 692, 706, 707, 708, 723, 727, 745, 753, 757, 775, 788, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855, 883, 895, 899, 907, 911, 914], "geometr": 108, "geq": [270, 271, 437, 438], "get": [16, 17, 19, 23, 31, 32, 34, 38, 46, 47, 49, 53, 61, 62, 64, 68, 76, 77, 79, 83, 293, 294, 301, 306, 307, 314, 319, 325, 330, 337, 338, 343, 344, 347, 349, 352, 358, 364, 406, 422, 430, 486, 503, 507, 518, 519, 524, 534, 535, 540, 550, 551, 569, 586, 603, 621, 638, 655, 685, 689, 699, 700, 705, 715, 716, 734, 764, 794, 804, 805, 810, 820, 906], "get_ax": 433, "get_data_fr": [279, 907], "get_data_yahoo": 437, "get_loc": 915, "get_stat": [96, 914], "gh156": 95, "gh195": 95, "gh225": 95, "gh233": 95, "gh248": 95, "gh259": 95, "gh260": 95, "gh261": 95, "gh262": 95, "gh286": 95, "gh288": 95, "gh290": 95, "gh292": 95, "gh303": 95, "gh313": 95, "gh315": 95, "gh317": 95, "gh322": 95, "gh326": 95, "gh329": 95, "gh331": 95, "gh334": 95, "gh338": 95, "gh339": 95, "gh341": 95, "gh342": 95, "gh343": 95, "gh345": 95, "gh346": 95, "gh353": 95, "gh354": 95, "gh356": 95, "gh359": 95, "gh360": 95, "gh364": 95, "gh366": 95, "gh395": 95, "gh417": 95, "gh437": 95, "gh438": 95, "gh443": 95, "gh458": 95, "gh551": 96, "gh565": 96, "gh569": 96, "gh572": 96, "gh606": 97, "gh687": 97, "gim": 440, "give": 94, "given": [271, 455, 509, 526, 542, 691, 707, 769, 796, 812, 914], "gjr": [448, 912, 915], "gl": [93, 96, 276, 432, 447, 912], "good": [4, 271, 434, 915], "gpa": 3, "gradient": [907, 912, 913, 914], "granger": [95, 286, 289, 290, 381, 432, 433], "gre": 3, "great": 280, "green": 275, "ground": 915, "group": 3, "grow": 915, "gspc": [4, 87, 88, 437, 907], "gt": [434, 911, 912, 914, 915], "guid": 1, "h": [10, 95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 249, 251, 275, 276, 277, 282, 284, 287, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 913, 915], "h0": 280, "h_": 446, "h_0": [270, 271], "h_1": 270, "h_t": 446, "ha": [5, 6, 7, 8, 9, 20, 35, 50, 65, 80, 95, 96, 271, 280, 432, 434, 437, 443, 445, 455, 739, 826, 854, 911, 913, 914, 915], "hac": 381, "had": [510, 527, 543, 692, 708, 797, 813, 826, 854], "halbert": 10, "half": 271, "hall": 275, "ham": 111, "hamilton": [275, 278], "han": 112, "hand": [282, 284, 287, 289, 290], "handbook": 1, "handl": [95, 827, 833, 855, 863], "hannan": 284, "hansen": [94, 249, 250, 251, 270, 287, 456], "hansenlundenason": 249, "happen": [433, 915], "har": [97, 440, 441, 451, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 827, 855, 907, 911, 912], "harch": [437, 453, 907, 914], "harx": [95, 516, 532, 713, 907, 912, 914], "harx_1": 451, "harx_2": 451, "harx_3": 451, "harx_4": 451, "harx_param": [516, 532, 697, 713], "hashabl": [254, 255, 259, 269, 273, 461, 462, 510, 527, 543, 692, 708, 797, 813, 826, 854], "hat": [4, 10, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 284, 287, 290, 375, 381, 394, 411, 437], "have": [2, 4, 7, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 86, 91, 95, 96, 98, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 271, 432, 433, 434, 437, 438, 447, 450, 460, 463, 509, 510, 516, 526, 527, 532, 542, 543, 660, 691, 692, 697, 707, 708, 713, 769, 782, 796, 797, 812, 813, 826, 827, 854, 855, 868, 911, 912, 913, 914, 915, 917], "he": 433, "head": [913, 914, 915], "heavi": 914, "heavier": 668, "heavili": 914, "hedgehog": [94, 915], "hedgehog_plot": [510, 527, 543, 692, 708, 797, 813], "held": 94, "help": [95, 911, 915], "here": [3, 4, 271, 433, 434, 911, 915], "heterogen": [450, 451, 914], "heteroskedast": [277, 278, 279, 349, 381, 823, 847, 912, 914], "high": [1, 2, 4, 87, 88, 92, 910, 912], "higher": [4, 87, 271, 284, 911], "highli": [4, 432, 434, 914], "highlight": 913, "hist": [3, 87], "histor": 915, "histori": 915, "hml": [3, 434], "hobijn": 277, "hold": [408, 424, 451, 508, 525, 541, 690, 706, 795, 811, 915], "hold_back": [94, 440, 441, 442, 451, 452, 458, 459, 907], "holder": 916, "home": 434, "homoskedast": 381, "horizon": [437, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 911, 913, 915], "how": [3, 87, 433, 437, 465, 915], "howev": [3, 914, 915], "hqic": 284, "html": [275, 278, 836, 871], "http": [248, 275, 278, 456], "hyperbol": [95, 453], "hypothesi": [271, 275, 276, 277, 278, 279, 280, 286, 289, 291, 296, 304, 309, 317, 321, 328, 332, 341, 346, 356, 360, 400, 403, 407, 416, 420, 423, 430, 433, 434, 916], "i": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 20, 23, 25, 26, 27, 29, 30, 35, 38, 40, 41, 42, 44, 45, 50, 53, 55, 56, 57, 59, 60, 65, 68, 70, 71, 72, 74, 75, 80, 83, 85, 87, 88, 89, 90, 92, 94, 95, 96, 97, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 122, 126, 128, 132, 140, 142, 146, 150, 152, 156, 160, 162, 166, 170, 172, 176, 180, 182, 186, 190, 192, 196, 200, 202, 206, 210, 212, 216, 220, 222, 226, 230, 232, 236, 240, 242, 246, 248, 250, 251, 252, 256, 259, 265, 269, 270, 271, 272, 275, 276, 277, 278, 279, 280, 282, 284, 287, 289, 290, 293, 306, 319, 330, 344, 358, 367, 375, 381, 390, 394, 411, 415, 430, 432, 433, 434, 436, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 463, 465, 470, 471, 473, 474, 475, 483, 486, 489, 491, 492, 500, 503, 508, 510, 516, 525, 527, 532, 541, 543, 548, 555, 557, 558, 566, 569, 572, 574, 575, 583, 586, 589, 591, 592, 600, 603, 606, 608, 609, 618, 621, 624, 626, 627, 635, 638, 641, 643, 644, 652, 655, 660, 664, 665, 666, 667, 668, 671, 673, 674, 682, 685, 690, 692, 697, 706, 708, 713, 720, 723, 731, 734, 739, 743, 744, 745, 746, 750, 752, 753, 761, 764, 769, 773, 774, 775, 776, 782, 786, 787, 788, 789, 795, 797, 802, 811, 813, 825, 826, 827, 833, 849, 854, 855, 863, 881, 882, 883, 884, 892, 894, 895, 903, 906, 907, 909, 911, 912, 913, 914, 915, 917], "i_": [438, 914], "ic": [275, 276, 280], "icdf": [665, 744, 774, 787, 882], "id": 915, "idea": [275, 278, 915], "ideal": 271, "ident": [2, 4, 14, 29, 44, 59, 74, 271, 276, 290, 433, 437, 450, 456, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 913, 914, 915], "identifi": [270, 271], "idx": [913, 915], "ie": 911, "ier_94": 456, "ignor": [14, 29, 44, 59, 74, 434, 833, 863, 907, 911], "iid": [4, 915], "iidbootstrap": [3, 4, 7, 11, 12, 14, 15, 25, 41, 42, 43, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 86, 87, 89, 96], "illustr": [912, 915], "iloc": [3, 271, 434, 911, 913, 915], "immateri": 96, "immut": 96, "implement": [3, 4, 10, 89, 250, 252, 275, 289, 434, 465, 912, 913, 915], "impli": 668, "import": [3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 95, 97, 271, 275, 276, 277, 278, 279, 430, 433, 434, 437, 438, 439, 440, 441, 442, 444, 445, 446, 448, 450, 451, 452, 453, 455, 458, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 827, 833, 855, 863, 907, 908, 911, 912, 913, 914, 915], "impos": 912, "improv": [4, 91, 95, 96, 98, 270, 276, 434, 465, 914], "in_samp_forcast_exog": 911, "inappropri": 7, "incl": 385, "includ": [1, 3, 89, 95, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 248, 249, 271, 275, 276, 277, 278, 280, 282, 284, 285, 287, 289, 290, 292, 305, 318, 329, 342, 357, 381, 386, 388, 389, 398, 430, 433, 434, 437, 440, 441, 450, 451, 452, 453, 508, 510, 516, 525, 527, 532, 541, 543, 690, 692, 697, 706, 708, 713, 795, 797, 811, 813, 823, 826, 847, 854, 911, 914], "inclus": 256, "incorrect": 95, "incorrectli": 95, "increas": [91, 98, 271, 914, 915], "increment": 279, "independ": [2, 3, 7, 95, 437, 911], "independentsamplesbootstrap": [3, 6, 86, 95], "index": [3, 4, 87, 88, 102, 256, 271, 433, 434, 437, 451, 461, 462, 463, 475, 480, 482, 483, 492, 497, 499, 500, 510, 527, 543, 558, 563, 565, 566, 575, 580, 582, 583, 592, 597, 599, 600, 609, 614, 616, 618, 627, 632, 634, 635, 644, 649, 651, 652, 674, 679, 681, 682, 692, 708, 723, 728, 730, 731, 753, 758, 760, 761, 797, 813, 826, 827, 854, 855, 895, 900, 902, 903, 911, 912, 913, 914, 915], "indic": [14, 20, 24, 29, 35, 39, 44, 48, 50, 54, 59, 65, 69, 74, 80, 84, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 251, 252, 254, 255, 259, 265, 269, 271, 275, 279, 284, 343, 347, 349, 398, 433, 434, 437, 440, 441, 442, 451, 452, 453, 458, 484, 501, 505, 508, 510, 516, 522, 525, 527, 532, 538, 541, 543, 567, 584, 601, 619, 636, 653, 660, 683, 687, 690, 692, 697, 703, 706, 708, 713, 732, 739, 762, 769, 782, 792, 795, 797, 808, 811, 813, 823, 826, 827, 833, 847, 854, 855, 863, 877, 904, 907, 911, 914], "indistinguish": 271, "individu": [660, 739, 769, 782, 877, 907], "inequ": [473, 491, 557, 574, 591, 608, 626, 643, 673, 752, 894], "inf": [14, 29, 44, 59, 74, 664, 743, 773, 786, 881], "infeas": 95, "infer": [95, 279, 287, 914], "infin": 617, "inflat": [275, 276, 277, 278, 914], "inform": [278, 284, 433, 465, 508, 525, 541, 690, 706, 795, 811, 822, 824, 825, 846, 848, 849, 860, 911, 913, 914], "infti": [282, 287, 446, 664, 743, 769, 773, 786, 881, 915], "inherit": [99, 436, 465, 908, 917], "initi": [3, 5, 6, 7, 8, 9, 11, 20, 26, 35, 41, 50, 56, 65, 71, 80, 89, 94, 95, 96, 257, 259, 263, 267, 276, 277, 290, 434, 472, 475, 479, 483, 490, 492, 496, 500, 516, 532, 548, 556, 558, 562, 566, 573, 575, 579, 583, 590, 592, 596, 600, 607, 609, 613, 618, 625, 627, 631, 635, 642, 644, 648, 652, 672, 674, 678, 682, 697, 713, 721, 723, 727, 731, 751, 753, 757, 761, 802, 893, 895, 899, 903, 907, 911, 913, 914], "initial_valu": [479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 818, 899], "initial_value_vol": [516, 532, 548, 697, 713, 802, 818], "initialize_upd": 465, "inlin": [95, 915], "inner": [4, 14, 29, 44, 59, 74, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 290], "innov": [438, 439, 444, 446, 448, 907], "input": [3, 4, 5, 6, 7, 8, 9, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 87, 89, 95, 97, 271, 430, 437, 460, 463, 475, 479, 492, 496, 510, 527, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 708, 723, 727, 753, 757, 797, 813, 825, 826, 827, 849, 854, 855, 877, 895, 899, 907, 913, 914], "insid": [10, 911], "inspect": 451, "instal": 97, "instanc": [5, 7, 8, 9, 13, 16, 19, 28, 31, 34, 43, 46, 49, 58, 61, 64, 73, 76, 79, 87, 89, 95, 96, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 285, 286, 367, 379, 398, 408, 415, 424, 449, 454, 456, 457, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 829, 836, 854, 857, 871, 895, 914], "instead": [4, 5, 6, 8, 9, 94, 434, 449, 454, 456, 457, 666, 745, 775, 788, 883, 911, 915], "int": [3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17, 21, 22, 23, 25, 26, 27, 28, 29, 30, 32, 36, 37, 38, 40, 41, 42, 43, 44, 45, 47, 51, 52, 53, 55, 56, 57, 58, 59, 60, 62, 66, 67, 68, 70, 71, 72, 73, 74, 75, 77, 81, 82, 83, 85, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 258, 264, 268, 273, 275, 276, 277, 278, 279, 280, 281, 283, 284, 285, 286, 288, 289, 290, 293, 294, 295, 306, 307, 308, 319, 320, 330, 331, 344, 345, 358, 359, 381, 388, 389, 403, 404, 405, 420, 438, 439, 440, 441, 442, 444, 446, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 461, 463, 464, 475, 477, 479, 480, 482, 483, 492, 494, 496, 497, 499, 500, 508, 509, 510, 511, 513, 516, 525, 526, 527, 529, 532, 541, 542, 543, 545, 548, 558, 560, 562, 563, 565, 566, 575, 577, 579, 580, 582, 583, 592, 594, 596, 597, 599, 600, 609, 611, 613, 614, 616, 617, 618, 627, 629, 631, 632, 634, 635, 644, 646, 648, 649, 651, 652, 661, 664, 667, 674, 676, 678, 679, 681, 682, 690, 691, 692, 694, 697, 706, 707, 708, 710, 713, 723, 725, 727, 728, 730, 731, 740, 743, 746, 753, 755, 757, 758, 760, 761, 770, 773, 776, 783, 786, 789, 795, 796, 797, 799, 802, 811, 812, 813, 815, 818, 823, 826, 827, 830, 831, 847, 851, 852, 853, 854, 855, 858, 859, 878, 881, 884, 895, 897, 899, 900, 902, 903, 907, 911, 912, 914, 915, 916], "int32": [273, 440, 441, 451, 907], "int32arrai": 273, "int64": 273, "int64arrai": 273, "int_": [664, 743, 773, 786, 881], "intarrai": 273, "integ": [6, 94, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242, 250, 251, 252, 258, 264, 268, 271, 290, 367, 381, 415, 434, 437, 463, 479, 496, 510, 527, 543, 562, 579, 596, 613, 631, 648, 678, 692, 708, 727, 757, 797, 813, 826, 827, 854, 855, 899, 907], "integr": [89, 95, 284, 664, 665, 743, 744, 773, 774, 786, 787, 881, 882], "intent": [4, 434], "intercept": 915, "interest": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 914], "interfac": 2, "intermedi": [433, 914], "intern": [2, 87, 265, 456, 915], "internet": 3, "interpret": 440, "interv": [1, 2, 3, 14, 29, 44, 59, 74, 89, 95, 665, 744, 774, 787, 850, 882], "introduc": 95, "introduct": [1, 432, 910, 914], "invalidlengthwarn": 434, "invers": [665, 744, 774, 787, 882], "investig": [277, 280, 433], "invoc": 914, "ipython": [3, 94, 271, 433, 434, 912, 913, 914], "irrespect": 94, "is_panda": [460, 463], "isin": 271, "issu": [95, 96, 440, 441, 442, 451, 452, 458, 907, 912], "iter": [11, 12, 24, 26, 27, 39, 41, 42, 54, 56, 57, 69, 71, 72, 84, 92, 465, 508, 525, 541, 690, 706, 795, 811, 907, 912, 913, 914], "ith": 850, "its": [10, 20, 35, 50, 65, 80, 263, 270, 271, 381, 433, 434, 914], "j": [1, 249, 250, 252, 271, 275, 276, 278, 282, 284, 444, 446, 448, 450, 451, 453, 510, 516, 527, 532, 543, 692, 697, 708, 713, 797, 813, 826, 854, 911], "jackknif": [4, 95], "jarqu": 434, "jb": 434, "jersei": 275, "jim": 95, "jit": 92, "john": [1, 279], "join": 911, "jointli": [95, 438, 445, 467], "journal": [1, 249, 251, 275, 277, 278, 280, 282, 284, 290], "jth": [516, 532, 697, 713], "judg": [275, 278], "just": [271, 911], "k": [10, 250, 251, 252, 271, 277, 278, 280, 284, 367, 381, 415, 438, 440, 441, 444, 448, 451, 452, 516, 532, 697, 713, 915], "k_n": 10, "kappa": [282, 290, 440, 914], "kappa_i": 284, "kde": 914, "kei": [12, 27, 42, 57, 72, 402, 419, 430, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "ken": 434, "kernel": [95, 281, 290, 367, 381, 390, 415, 433], "kernel_est": [283, 285, 288], "kernel_nam": 103, "kevin": [248, 453], "keyword": [3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 48, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 87, 88, 89, 95, 96], "khrapov": 94, "kind": [434, 914], "kmax": 455, "known": [251, 271, 290, 367, 381, 415, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 914], "kpss": [93, 95, 432], "kurtosi": [434, 777, 790], "kw": 87, "kw_data": [5, 6, 7, 8, 9], "kwarg": [4, 5, 6, 7, 8, 9, 11, 13, 14, 15, 25, 26, 28, 29, 30, 40, 41, 43, 44, 45, 55, 56, 58, 59, 60, 70, 71, 73, 74, 75, 85], "kwdata": [12, 27, 42, 57, 72], "kwiatkowski": 277, "l": [4, 446, 907, 911, 914], "l1": 434, "l2": 434, "l3": 434, "l4": 434, "l5": 434, "l_": [270, 271, 440, 441, 450, 451], "l_i": [270, 271], "label": [102, 273, 913, 915], "lack": 909, "lag": [95, 96, 97, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 275, 276, 277, 278, 279, 280, 284, 285, 286, 289, 294, 295, 307, 308, 320, 331, 334, 345, 354, 359, 381, 385, 386, 405, 430, 433, 438, 440, 441, 442, 444, 446, 448, 450, 451, 452, 453, 458, 510, 516, 527, 532, 543, 617, 692, 697, 708, 713, 797, 813, 823, 827, 847, 855, 907, 911, 912, 914], "lam": 445, "lambda": [282, 287, 445, 448, 456, 769, 914], "lambda_": 446, "lambda_0": [102, 282, 287], "lambda_1": [102, 446], "lambda_i": 446, "lambda_j": [284, 446], "larg": [1, 95, 97, 271, 282, 287, 430, 433, 434, 914], "larger": [271, 437, 446, 448, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 911, 913, 915], "last": [20, 35, 50, 65, 80, 279, 282, 287, 437, 463, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 911], "last_ob": [94, 95, 437, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 911, 913], "later": [91, 97, 98, 914], "latest": [94, 248], "latex": [379, 398, 836, 871], "lceil": 10, "ldot": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 437, 911], "lead": [1, 271, 284, 285, 381, 385, 386], "least": [86, 279, 282, 287, 381, 434, 452], "leav": [4, 95], "left": [4, 10, 101, 106, 110, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 284, 287, 289, 290, 437, 438, 444, 448, 450, 453, 660, 739, 769, 782, 911, 914], "leg": 913, "legaci": 96, "legend": [911, 913, 915], "len": [475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 915], "length": [5, 7, 8, 9, 10, 90, 95, 96, 97, 250, 251, 252, 275, 276, 278, 280, 284, 289, 294, 307, 405, 433, 434, 437, 440, 441, 442, 450, 451, 452, 453, 455, 458, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 826, 854, 907, 911, 913], "leq": [106, 271], "leq1": [101, 106, 107, 108, 109, 111, 112, 113], "less": [95, 276, 914], "let": 290, "letter": 276, "level": [2, 92, 95, 434, 910], "lie": 438, "like": [4, 10, 88, 89, 270, 433, 437, 440, 441, 442, 451, 452, 458, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907, 912, 914, 915], "likelihood": [434, 463, 465, 485, 502, 568, 585, 602, 620, 637, 654, 660, 684, 733, 739, 763, 769, 782, 860, 877, 905, 907, 911, 912, 914, 915], "limit": [4, 271, 915], "linalg": 89, "line": [271, 282, 287, 913], "linear": [275, 276, 277, 278, 280, 282, 284, 287, 289, 290, 430, 434, 437, 473, 491, 504, 506, 508, 516, 521, 523, 525, 532, 537, 539, 541, 557, 574, 591, 608, 626, 643, 673, 686, 688, 690, 697, 702, 704, 706, 713, 752, 791, 793, 795, 807, 809, 811, 894], "linear_model": 381, "linspac": 271, "linux": 96, "liquid": 914, "list": [0, 18, 21, 33, 36, 39, 48, 51, 54, 63, 66, 78, 81, 95, 102, 254, 255, 258, 259, 264, 265, 268, 269, 273, 301, 302, 314, 315, 325, 326, 338, 339, 352, 353, 364, 365, 440, 441, 450, 460, 461, 462, 463, 470, 478, 489, 495, 504, 514, 521, 530, 537, 546, 555, 561, 572, 578, 589, 595, 606, 612, 624, 630, 641, 647, 656, 663, 671, 677, 686, 695, 702, 711, 720, 726, 735, 742, 750, 756, 765, 772, 778, 785, 791, 800, 807, 816, 873, 880, 892, 898, 907], "liter": 273, "literatur": [508, 525, 541, 690, 706, 795, 811], "littl": [4, 434], "ll": [660, 739, 769, 782, 914], "llf": [907, 912, 913, 914], "lm": [95, 823, 847], "ln": [284, 444, 660, 739, 769, 782], "ln2": [660, 739], "lo": 279, "load": [3, 275, 276, 277, 278, 433, 434, 440, 473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 737, 752, 767, 780, 793, 809, 875, 894, 912, 913, 914, 915], "loc": [3, 271, 913, 915], "locat": [92, 93, 248, 460, 463, 483, 500, 510, 527, 543, 566, 583, 600, 618, 635, 652, 682, 692, 708, 731, 761, 797, 813, 826, 854, 903, 907], "log": [251, 275, 276, 277, 278, 279, 433, 434, 440, 463, 485, 502, 511, 568, 585, 602, 620, 637, 654, 660, 684, 733, 739, 763, 769, 782, 824, 848, 860, 877, 905, 907, 911, 912, 914, 915], "log_": 10, "log_pric": 433, "logical_not": 271, "loglikelihood": [460, 463, 822, 824, 846, 848, 860, 914], "long": [3, 95, 97, 102, 134, 248, 275, 277, 278, 282, 287, 290, 293, 306, 319, 330, 344, 347, 354, 358, 367, 371, 381, 390, 415, 417, 421, 433, 434, 455, 911], "long_run": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "longer": [453, 913], "longlong": [18, 24, 33, 39, 48, 54, 63, 69, 78, 84, 259, 273, 440, 441, 451, 907], "look": 433, "loop": [465, 911], "loos": [485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905], "loss": [250, 251, 252, 270, 271, 295, 308, 320, 331, 345, 359], "low": [2, 4, 88, 92, 95, 275, 910], "low_memori": [275, 276], "lower": [3, 4, 14, 29, 44, 59, 74, 95, 251, 259, 261, 262, 271, 434, 470, 472, 475, 483, 485, 489, 490, 492, 500, 502, 506, 523, 539, 555, 556, 558, 566, 568, 572, 573, 575, 583, 585, 589, 590, 592, 600, 602, 606, 607, 609, 618, 620, 624, 625, 627, 635, 637, 641, 642, 644, 652, 654, 656, 664, 671, 672, 674, 682, 684, 688, 704, 720, 721, 723, 731, 733, 735, 743, 750, 751, 753, 761, 763, 765, 773, 778, 786, 793, 809, 873, 881, 892, 893, 895, 903, 905, 914], "lowest": 87, "lt": 911, "lund": [249, 250, 270], "m": [1, 4, 10, 87, 88, 249, 250, 252, 277, 279, 284, 375, 390, 394, 450, 451, 453, 833, 863], "m_": 290, "mackinlai": 279, "mackinnon": [1, 275, 278], "macrodata": [275, 276, 277, 278], "mad": 271, "made": [97, 271, 280, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 915], "magnitud": [914, 915], "mai": [4, 86, 89, 95, 289, 437, 911, 912, 914, 917], "main": [4, 913], "make": [3, 4, 14, 29, 44, 59, 74, 87, 89, 271, 434, 437, 911, 913, 914, 915], "manag": [664, 743, 773, 786, 881], "mani": [4, 271, 278, 432, 437, 911, 914], "manner": 89, "manual": [451, 907], "manuscript": 453, "map": [17, 23, 32, 38, 47, 53, 62, 68, 77, 83], "marcellino": 453, "march": 248, "marker": 913, "market": [3, 279, 434, 913, 914], "massimiliano": 453, "match": [4, 10, 97, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "mathcal": 911, "mathemat": [4, 911], "mathodologi": 278, "mathrm": 290, "matlab": 10, "matplotlib": [3, 271, 408, 424, 433, 434, 911, 912, 913, 914, 915], "matric": [282, 287], "matrix": [3, 277, 278, 282, 287, 334, 433, 434, 463, 508, 525, 541, 690, 706, 795, 811, 911], "max": [3, 4, 10, 87, 88, 95, 97, 250, 433, 434, 516, 532, 697, 713, 911, 914], "max_i": [270, 271], "max_lag": [275, 276, 280, 284, 289, 434], "max_lead": 284, "maximum": [10, 275, 276, 280, 284, 289, 294, 307, 405, 437, 453, 907, 911, 912, 914, 915], "maxit": [508, 525, 541, 690, 706, 795, 811], "maxlag": 275, "mbb": [250, 251, 252], "mc": [94, 95, 271], "mcp": 270, "mean": [3, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 88, 94, 95, 96, 271, 279, 433, 434, 437, 440, 442, 447, 458, 459, 461, 467, 472, 490, 509, 510, 511, 514, 516, 517, 526, 527, 530, 532, 533, 542, 543, 546, 548, 549, 556, 573, 590, 607, 625, 642, 672, 691, 692, 695, 697, 698, 707, 708, 711, 713, 714, 721, 751, 796, 797, 800, 802, 803, 812, 813, 816, 819, 826, 827, 854, 855, 893, 907, 910, 913, 915, 917], "mean_diff": 3, "meaning": 913, "meaningfulli": 89, "measur": [3, 271, 433, 508, 525, 541, 690, 706, 795, 811], "medic": 1, "medicin": 1, "memori": [95, 275], "metaclass": 465, "method": [1, 3, 5, 6, 7, 8, 9, 14, 29, 44, 59, 74, 87, 88, 94, 95, 96, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 379, 398, 433, 434, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 475, 492, 508, 510, 525, 527, 541, 543, 558, 575, 592, 609, 627, 644, 674, 690, 692, 706, 708, 723, 753, 795, 797, 811, 813, 826, 827, 839, 854, 855, 895, 907, 908, 909, 910, 911, 912, 913, 914, 915, 917], "methodologi": [261, 381, 914], "michael": 95, "mida": [95, 453], "midashyperbol": 95, "might": [433, 434, 914, 915], "mimic": 95, "min": [3, 4, 10, 87, 88, 433, 434, 913, 914], "min_i": 270, "minim": [95, 284, 434, 437, 508, 525, 541, 690, 706, 795, 811, 851], "minimum": [89, 91, 96, 97, 98, 275, 276, 280], "minor": 95, "minu": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 279, 437], "miss": [911, 912], "mix": [4, 453], "mkt": [3, 434], "mle": [89, 505, 522, 538, 687, 703, 792, 808], "mod": [3, 451, 911, 912, 915], "mode": [437, 907, 912, 913, 914], "model": [89, 93, 94, 95, 97, 248, 249, 250, 251, 252, 253, 254, 255, 256, 259, 265, 266, 269, 272, 280, 284, 285, 286, 287, 289, 293, 298, 306, 311, 319, 330, 344, 358, 367, 374, 375, 376, 379, 381, 385, 388, 389, 390, 393, 394, 395, 398, 415, 430, 433, 434, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 465, 467, 469, 471, 472, 474, 475, 477, 478, 479, 481, 483, 485, 488, 490, 492, 494, 495, 496, 498, 500, 502, 505, 508, 509, 510, 512, 514, 515, 516, 517, 519, 522, 525, 526, 527, 528, 530, 531, 532, 533, 535, 538, 541, 542, 543, 544, 546, 547, 548, 549, 551, 554, 556, 558, 560, 561, 562, 564, 566, 568, 571, 573, 575, 577, 578, 579, 581, 583, 585, 588, 590, 592, 594, 595, 596, 598, 600, 602, 605, 607, 609, 611, 612, 613, 615, 618, 620, 623, 625, 627, 629, 630, 631, 633, 635, 637, 640, 642, 644, 646, 647, 648, 650, 652, 654, 670, 672, 674, 676, 677, 678, 680, 682, 684, 687, 690, 691, 692, 693, 695, 696, 697, 698, 700, 703, 706, 707, 708, 709, 711, 712, 713, 714, 716, 719, 721, 723, 725, 726, 727, 729, 731, 733, 749, 751, 753, 755, 756, 757, 759, 761, 763, 792, 795, 796, 797, 798, 800, 801, 802, 803, 805, 808, 811, 812, 813, 814, 815, 816, 817, 819, 823, 826, 827, 828, 830, 831, 832, 834, 836, 847, 854, 855, 856, 858, 859, 862, 865, 868, 871, 877, 891, 893, 895, 897, 898, 899, 901, 903, 905, 913, 915, 917], "model_beta": 271, "model_factor": 271, "model_loss": 271, "modif": [270, 276], "modifi": [3, 4, 271, 282, 287, 432, 433, 465], "modul": [1, 2, 95, 248, 249, 272, 280, 432], "moment": [4, 95, 664, 743, 773, 777, 786, 790, 881], "momentum": 434, "mon": [434, 911, 912, 914, 915], "mont": [277, 280, 910], "month": [279, 434], "monthli": [4, 87, 88, 833, 863], "monthly_d": [4, 87, 88], "more": [3, 4, 89, 95, 271, 275, 276, 278, 280, 437, 450, 664, 743, 773, 786, 881, 914, 915], "most": [3, 89, 430, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 833, 854, 863, 907, 911, 914, 915], "move": [90, 92, 250, 251, 252, 445, 914], "movingblockbootstrap": 90, "mse": 271, "mu": [3, 4, 88, 437, 440, 441, 442, 451, 452, 548, 907, 913, 914, 915], "mu_": 913, "much": [510, 527, 543, 692, 708, 797, 813, 911, 914, 915], "multi": [96, 279, 434, 437], "multi_forecast": 911, "multicollinear": 434, "multipl": [3, 14, 29, 44, 59, 74, 87, 93, 248, 249, 252, 279, 432, 434, 472, 490, 556, 573, 590, 607, 625, 642, 672, 721, 751, 893], "multipli": [367, 381, 415], "multivari": 433, "must": [3, 4, 5, 6, 7, 8, 9, 11, 14, 15, 24, 25, 26, 29, 30, 39, 40, 41, 44, 45, 54, 55, 56, 59, 60, 69, 70, 71, 74, 75, 84, 85, 89, 91, 98, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 260, 279, 282, 284, 287, 436, 438, 440, 465, 475, 492, 507, 509, 510, 518, 524, 526, 527, 534, 540, 542, 543, 550, 558, 575, 592, 609, 627, 644, 674, 689, 691, 692, 699, 705, 707, 708, 715, 723, 753, 794, 796, 797, 804, 810, 812, 813, 820, 826, 827, 854, 855, 895, 908, 911, 917], "mutat": 95, "n": [1, 3, 10, 273, 275, 278, 279, 282, 283, 284, 285, 287, 289, 290, 433, 437, 451, 661, 664, 740, 743, 770, 773, 783, 786, 878, 881, 911, 914, 915], "naiv": 911, "name": [2, 3, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 95, 100, 104, 105, 254, 255, 256, 259, 269, 271, 290, 367, 381, 415, 421, 434, 440, 451, 460, 463, 478, 495, 510, 514, 527, 530, 543, 546, 561, 578, 595, 612, 630, 647, 663, 677, 692, 695, 708, 711, 726, 742, 756, 772, 785, 797, 800, 813, 816, 826, 854, 880, 898, 907, 911, 912, 913, 915, 916], "nan": [94, 271, 437, 460, 463, 471, 474, 485, 502, 510, 527, 543, 568, 585, 602, 620, 637, 654, 684, 692, 708, 733, 763, 797, 813, 826, 854, 905, 911, 914], "nasdaq": 915, "nason": [249, 250, 270], "natur": [3, 86, 911], "nc": [430, 434], "ncol": 913, "ndarrai": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 62, 63, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 77, 78, 81, 82, 83, 84, 85, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 134, 135, 136, 137, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 250, 251, 252, 258, 259, 264, 265, 268, 273, 275, 276, 277, 278, 279, 280, 281, 282, 284, 287, 289, 290, 303, 316, 327, 340, 355, 366, 440, 441, 442, 447, 451, 452, 458, 459, 460, 461, 462, 463, 466, 468, 469, 470, 472, 473, 475, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 496, 498, 500, 502, 505, 506, 508, 509, 510, 515, 516, 517, 519, 520, 522, 523, 525, 526, 527, 531, 532, 533, 535, 536, 538, 539, 541, 542, 543, 547, 548, 549, 551, 552, 553, 554, 555, 556, 557, 558, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 648, 650, 652, 654, 656, 657, 658, 660, 661, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 678, 680, 682, 684, 687, 688, 690, 691, 692, 696, 697, 698, 700, 701, 703, 704, 706, 707, 708, 712, 713, 714, 716, 717, 718, 719, 720, 721, 722, 723, 727, 729, 731, 733, 735, 736, 737, 739, 740, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 757, 759, 761, 763, 765, 766, 767, 769, 770, 773, 774, 776, 777, 778, 779, 780, 782, 783, 786, 787, 789, 790, 792, 793, 795, 796, 797, 801, 802, 803, 805, 806, 808, 809, 811, 812, 813, 817, 818, 819, 821, 825, 826, 827, 834, 835, 842, 843, 844, 845, 849, 854, 855, 865, 870, 873, 874, 875, 877, 878, 881, 882, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 899, 901, 903, 905, 907, 911], "ndarrayorfram": 273, "nearli": 913, "necessari": [4, 89, 911], "need": [14, 29, 44, 59, 74, 89, 290, 433, 911, 913, 915], "neerlandica": 277, "neg": [434, 437, 827, 855, 907, 912, 913, 914], "nep": 95, "nest": [4, 14, 29, 44, 59, 74, 251, 252], "never": 251, "new": [24, 39, 54, 69, 84, 95, 275, 440, 441, 442, 451, 452, 458, 907], "new_idx": 915, "newei": [101, 277, 278, 281, 290, 334, 367, 381, 415, 434], "next": [3, 24, 39, 54, 69, 84, 271, 451, 911, 913, 914, 915], "nforecast": [510, 527, 543, 692, 708, 797, 813, 826, 854], "ng": 276, "nj": 279, "nob": [277, 278, 440, 441, 442, 451, 452, 458, 479, 496, 510, 516, 527, 532, 543, 548, 562, 579, 596, 613, 631, 648, 678, 692, 697, 708, 713, 727, 757, 797, 802, 813, 818, 824, 825, 826, 848, 849, 854, 877, 886, 899, 911, 914], "nois": [271, 434], "non": [4, 89, 95, 277, 279, 434, 437, 451, 504, 506, 508, 521, 523, 525, 537, 539, 541, 686, 688, 690, 702, 704, 706, 791, 793, 795, 802, 807, 809, 811, 827, 855, 914], "none": [3, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 20, 21, 22, 25, 26, 27, 28, 29, 30, 35, 36, 37, 40, 41, 42, 43, 44, 45, 50, 51, 52, 55, 56, 57, 58, 59, 60, 65, 66, 67, 70, 71, 72, 73, 74, 75, 80, 81, 82, 85, 89, 95, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 253, 257, 258, 260, 263, 264, 265, 266, 267, 268, 273, 275, 276, 277, 278, 280, 282, 284, 286, 287, 288, 289, 290, 294, 307, 367, 381, 405, 408, 415, 424, 430, 438, 440, 441, 442, 445, 449, 451, 452, 454, 456, 457, 458, 459, 461, 462, 463, 464, 466, 475, 479, 492, 496, 505, 508, 509, 510, 515, 516, 519, 520, 522, 525, 526, 527, 531, 532, 535, 536, 538, 541, 542, 543, 547, 548, 551, 552, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 657, 661, 664, 665, 674, 678, 687, 690, 691, 692, 696, 697, 700, 701, 703, 706, 707, 708, 712, 713, 716, 717, 723, 727, 736, 740, 743, 744, 753, 757, 766, 770, 773, 774, 779, 783, 786, 787, 792, 795, 796, 797, 801, 802, 805, 806, 808, 811, 812, 813, 817, 818, 821, 823, 826, 827, 833, 842, 843, 844, 845, 847, 854, 855, 863, 874, 878, 881, 882, 887, 888, 889, 895, 899, 907, 911, 913, 914], "nonparametr": [14, 29, 44, 59, 74, 89], "nonrobust": [95, 434], "norg": 453, "norm": [14, 29, 44, 59, 74], "normal": [14, 29, 44, 59, 74, 89, 96, 271, 437, 453, 668, 907, 911, 912, 913, 914, 915], "notabl": 95, "notat": 463, "note": [5, 6, 7, 8, 9, 10, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 250, 251, 252, 259, 260, 270, 275, 276, 277, 278, 279, 280, 282, 284, 287, 289, 290, 375, 381, 390, 394, 411, 434, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 455, 456, 458, 465, 473, 475, 491, 492, 506, 508, 509, 510, 523, 525, 526, 527, 539, 541, 542, 543, 557, 558, 574, 575, 591, 592, 608, 609, 626, 627, 643, 644, 658, 660, 664, 668, 673, 674, 688, 690, 691, 692, 704, 706, 707, 708, 722, 723, 737, 739, 743, 747, 752, 753, 767, 769, 773, 777, 780, 782, 786, 790, 793, 795, 796, 797, 809, 811, 812, 813, 826, 854, 875, 877, 881, 885, 894, 895, 907, 911, 913, 915], "notebook": [3, 94, 97, 271, 433, 434, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 912, 913, 914], "noth": [508, 525, 541, 690, 706, 795, 811], "notimplementederror": [459, 475, 486, 492, 503, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 723, 734, 753, 764, 895, 906], "nov": [434, 911, 912, 914, 915], "novel": 276, "now": [94, 95, 96, 510, 527, 543, 692, 708, 797, 813], "np": [3, 4, 5, 6, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 88, 89, 271, 275, 276, 277, 278, 279, 433, 440, 441, 442, 449, 451, 452, 454, 456, 457, 458, 516, 532, 548, 697, 713, 802, 911, 912, 913, 914, 915], "nparam": [11, 26, 41, 56, 71], "nu": [660, 782, 914], "null": [270, 271, 275, 276, 277, 278, 279, 286, 288, 289, 290, 296, 309, 321, 332, 346, 360, 403, 407, 420, 423, 430, 432, 433, 434, 872, 916], "num_param": [822, 824, 846, 848], "num_x": [283, 285], "numba": [92, 97], "number": [1, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 21, 22, 25, 26, 27, 29, 30, 32, 36, 37, 40, 41, 42, 44, 45, 47, 51, 52, 55, 56, 57, 59, 60, 62, 66, 67, 70, 71, 72, 74, 75, 77, 81, 82, 85, 89, 91, 94, 95, 96, 98, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 250, 251, 252, 258, 264, 268, 271, 275, 276, 277, 278, 279, 280, 284, 285, 286, 289, 292, 293, 295, 305, 306, 308, 318, 319, 320, 329, 330, 331, 334, 342, 344, 345, 357, 358, 359, 367, 375, 381, 388, 389, 390, 394, 403, 404, 405, 415, 420, 430, 432, 437, 440, 441, 442, 449, 451, 452, 454, 455, 456, 457, 458, 473, 475, 477, 479, 485, 491, 492, 494, 496, 502, 506, 509, 510, 513, 516, 523, 526, 527, 529, 532, 539, 542, 543, 545, 548, 557, 558, 560, 562, 568, 574, 575, 577, 579, 585, 591, 592, 594, 596, 602, 608, 609, 611, 613, 620, 626, 627, 629, 631, 637, 643, 644, 646, 648, 654, 673, 674, 676, 678, 684, 688, 691, 692, 694, 697, 704, 707, 708, 710, 713, 723, 725, 727, 733, 752, 753, 755, 757, 763, 793, 796, 797, 799, 802, 809, 812, 813, 815, 823, 826, 827, 830, 831, 847, 854, 855, 858, 859, 894, 895, 897, 899, 905, 907, 911, 913, 914, 915], "numer": [95, 279, 433, 434, 483, 500, 505, 522, 538, 566, 583, 600, 618, 635, 652, 682, 687, 703, 731, 761, 792, 808, 860, 903, 912], "numpi": [2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 19, 25, 26, 27, 29, 30, 34, 40, 41, 42, 44, 45, 49, 55, 56, 57, 59, 60, 64, 70, 71, 72, 74, 75, 79, 85, 87, 89, 91, 95, 96, 97, 98, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 250, 251, 252, 271, 273, 275, 276, 277, 278, 433, 440, 441, 442, 451, 452, 458, 473, 475, 479, 481, 485, 491, 492, 496, 498, 502, 506, 510, 515, 516, 517, 523, 527, 531, 532, 533, 539, 543, 547, 548, 549, 557, 558, 562, 564, 568, 574, 575, 579, 581, 585, 591, 592, 596, 598, 602, 608, 609, 613, 615, 620, 626, 627, 631, 633, 637, 643, 644, 648, 650, 654, 657, 658, 659, 666, 668, 673, 674, 678, 680, 684, 688, 692, 696, 697, 698, 704, 708, 712, 713, 714, 723, 727, 729, 733, 736, 737, 738, 745, 747, 748, 752, 753, 757, 759, 763, 766, 767, 768, 775, 777, 779, 780, 781, 788, 790, 793, 797, 801, 802, 803, 809, 813, 817, 819, 826, 854, 874, 875, 876, 883, 885, 894, 895, 899, 901, 905, 911, 912, 913, 914, 915], "nvar": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113], "nw": 281, "o": [271, 437, 438, 444, 448, 802, 907, 912, 913, 914, 915], "object": [95, 430, 437, 460, 463, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 836, 871, 909, 912, 913, 914, 915], "observ": [3, 7, 90, 94, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 271, 277, 279, 290, 292, 295, 305, 308, 318, 320, 329, 331, 342, 345, 357, 359, 434, 437, 440, 441, 442, 451, 452, 458, 463, 475, 479, 483, 492, 496, 500, 505, 508, 509, 510, 522, 525, 526, 527, 538, 541, 542, 543, 558, 562, 566, 575, 579, 583, 592, 596, 600, 609, 613, 618, 627, 631, 635, 644, 648, 652, 674, 678, 682, 687, 690, 691, 692, 703, 706, 707, 708, 723, 727, 731, 753, 757, 761, 792, 795, 796, 797, 808, 811, 812, 813, 826, 827, 854, 855, 895, 899, 903, 907, 911, 912, 913, 914, 915], "obtain": [275, 278], "occur": [97, 433, 510, 527, 543, 692, 708, 797, 813, 911], "off": [280, 441, 508, 525, 541, 690, 706, 795, 811, 833, 863, 911, 912, 913, 914, 915], "offer": [4, 914], "often": [95, 517, 533, 549, 698, 714, 803, 819, 914], "oil": [280, 433], "ok": 433, "ol": [89, 96, 271, 276, 284, 285, 286, 287, 298, 311, 334, 367, 381, 415, 432, 434], "old": [92, 277], "ols_para": 89, "ols_parti": 89, "ols_semi_v2": 89, "omega": [102, 282, 287, 290, 437, 438, 439, 444, 446, 448, 450, 453, 722, 907, 911, 912, 914, 915], "omega_": [282, 287], "omega_112": 283, "omit": [275, 276, 277, 278, 280, 516, 532, 697, 713], "omnibu": 434, "onc": 911, "one": [4, 10, 95, 102, 135, 136, 271, 278, 282, 287, 290, 434, 437, 473, 491, 548, 557, 574, 591, 608, 626, 643, 673, 752, 894, 911, 913, 914, 915], "one_sid": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "one_sided_strict": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "ones": 3, "onli": [2, 3, 4, 7, 89, 94, 95, 251, 271, 277, 278, 279, 375, 394, 398, 433, 434, 437, 464, 483, 500, 510, 527, 543, 566, 583, 600, 618, 635, 652, 682, 692, 708, 731, 761, 797, 813, 826, 827, 854, 855, 903, 907, 911, 913, 914, 915], "oom": 277, "op": 97, "oper": [10, 446], "opt": [3, 10], "optim": [5, 8, 9, 10, 95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 119, 122, 123, 124, 125, 129, 132, 133, 138, 139, 143, 146, 147, 148, 149, 153, 156, 157, 158, 159, 163, 166, 167, 168, 169, 173, 176, 177, 178, 179, 183, 186, 187, 188, 189, 193, 196, 197, 198, 199, 203, 206, 207, 208, 209, 213, 216, 217, 218, 219, 223, 226, 227, 228, 229, 233, 236, 237, 238, 239, 243, 246, 247, 281, 284, 290, 367, 381, 415, 463, 504, 506, 508, 521, 523, 525, 537, 539, 541, 656, 658, 668, 686, 688, 690, 702, 704, 706, 735, 737, 747, 765, 767, 777, 778, 780, 790, 791, 793, 795, 807, 809, 811, 851, 860, 873, 875, 885, 907, 912, 913, 914, 915], "optim_output": 463, "optim_result": 860, "optimal_block_length": [3, 5, 8, 9], "optimization_result": 95, "optimizeresult": [463, 860], "optimum": [508, 525, 541, 690, 706, 795, 811], "option": [89, 95, 250, 251, 252, 271, 275, 290, 434, 441, 451, 459, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 907, 908, 914, 917], "order": [4, 5, 6, 7, 8, 9, 87, 91, 98, 284, 286, 288, 433, 438, 439, 444, 446, 448, 516, 532, 548, 661, 664, 697, 713, 740, 743, 770, 773, 783, 786, 802, 878, 881, 907, 911], "ordereddict": 914, "ordin": 381, "org": [3, 248, 275, 278], "origin": [3, 4, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 89, 95, 271, 280, 437, 460, 461, 463, 510, 527, 543, 692, 708, 797, 813, 826, 854, 868, 912], "osx": 96, "other": [3, 4, 89, 93, 95, 97, 270, 271, 290, 433, 434, 438, 445, 446, 448, 911, 914, 915, 916], "otherwis": [23, 38, 53, 68, 83, 868], "ouliari": [95, 289, 290, 432], "out": [4, 94, 95, 437, 510, 527, 543, 692, 708, 797, 813, 908, 913, 915], "outer": 4, "outperform": 271, "output": [12, 27, 42, 57, 72, 88, 271, 508, 525, 541, 667, 690, 706, 746, 776, 789, 795, 811, 884, 907, 913, 914], "over": [12, 27, 42, 57, 72, 94, 915], "overflowerror": 95, "overlap": [95, 279, 434, 451], "overli": 96, "overrid": [459, 833, 863], "overridden": [24, 39, 54, 69, 84, 434, 459], "p": [1, 4, 87, 88, 96, 249, 250, 251, 252, 256, 259, 261, 262, 265, 270, 271, 275, 276, 277, 278, 284, 287, 290, 297, 300, 310, 313, 322, 324, 333, 336, 348, 351, 361, 363, 373, 375, 392, 394, 409, 411, 413, 425, 428, 430, 433, 434, 437, 438, 439, 440, 441, 444, 446, 448, 451, 516, 532, 697, 713, 802, 864, 907, 911, 912, 913, 914, 915, 916], "p_u": 433, "p_z": 433, "pa": 281, "packag": [90, 91, 95, 98, 248, 912], "page": [0, 916], "palgrav": 1, "panda": [2, 3, 4, 5, 6, 7, 8, 9, 10, 87, 88, 91, 95, 96, 97, 98, 256, 261, 262, 271, 273, 402, 419, 430, 434, 451, 460, 463, 510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 826, 827, 850, 854, 855, 911, 913, 914, 915], "pandas_dataread": [4, 87, 88, 279, 430, 437, 907], "panel": [510, 527, 543, 692, 708, 797, 813, 826, 854], "paper": [271, 275, 278, 280, 456], "param": [3, 4, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 88, 89, 271, 283, 285, 437, 460, 463, 505, 509, 510, 515, 516, 522, 526, 527, 531, 532, 538, 542, 543, 547, 548, 687, 691, 692, 696, 697, 703, 707, 708, 712, 713, 792, 796, 797, 801, 802, 808, 812, 813, 817, 818, 826, 827, 854, 855, 911, 913, 914], "param_cov": [88, 463], "paramet": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20, 21, 22, 25, 26, 27, 28, 29, 30, 35, 36, 37, 40, 41, 42, 43, 44, 45, 50, 51, 52, 55, 56, 57, 58, 59, 60, 65, 66, 67, 70, 71, 72, 73, 74, 75, 80, 81, 82, 85, 88, 89, 94, 95, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 258, 259, 261, 264, 265, 268, 271, 275, 276, 277, 278, 279, 280, 281, 282, 284, 285, 286, 287, 289, 290, 367, 368, 369, 371, 372, 373, 378, 379, 380, 381, 382, 383, 384, 385, 386, 390, 391, 392, 397, 398, 399, 408, 415, 424, 437, 438, 439, 440, 441, 442, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 460, 461, 462, 463, 465, 466, 467, 468, 469, 470, 472, 473, 475, 477, 478, 479, 481, 483, 485, 487, 488, 489, 490, 491, 492, 494, 495, 496, 498, 500, 502, 504, 505, 506, 508, 509, 510, 513, 514, 515, 516, 521, 522, 523, 525, 526, 527, 529, 530, 531, 532, 537, 538, 539, 541, 542, 543, 545, 546, 547, 548, 553, 554, 555, 556, 557, 558, 560, 561, 562, 564, 566, 568, 570, 571, 572, 573, 574, 575, 577, 578, 579, 581, 583, 585, 587, 588, 589, 590, 591, 592, 594, 595, 596, 598, 600, 602, 604, 605, 606, 607, 608, 609, 611, 612, 613, 615, 618, 620, 622, 623, 624, 625, 626, 627, 629, 630, 631, 633, 635, 637, 639, 640, 641, 642, 643, 644, 646, 647, 648, 650, 652, 654, 656, 657, 658, 660, 661, 663, 664, 665, 667, 668, 669, 670, 671, 672, 673, 674, 676, 677, 678, 680, 682, 684, 686, 687, 688, 690, 691, 692, 694, 695, 696, 697, 702, 703, 704, 706, 707, 708, 710, 711, 712, 713, 718, 719, 720, 721, 722, 723, 725, 726, 727, 729, 731, 733, 735, 736, 737, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 755, 756, 757, 759, 761, 763, 765, 766, 767, 769, 770, 772, 773, 774, 776, 777, 778, 779, 780, 782, 783, 785, 786, 787, 789, 790, 791, 792, 793, 795, 796, 797, 799, 800, 801, 802, 807, 808, 809, 811, 812, 813, 815, 816, 817, 823, 826, 827, 831, 832, 833, 847, 850, 852, 853, 854, 855, 859, 861, 862, 863, 868, 869, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 886, 890, 891, 892, 893, 894, 895, 897, 898, 899, 901, 903, 905, 907, 909, 911, 912, 913, 915, 916, 917], "parameterless": [657, 661, 664, 665, 736, 740, 743, 744, 766, 770, 773, 774, 779, 783, 786, 787, 874, 878, 881, 882, 914], "parametr": [2, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 451], "park": 282, "part": 95, "partial": [95, 664, 743, 773, 786, 881], "partial_mo": 95, "particular": [437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907, 915], "partit": [282, 287], "parzen": [95, 104, 107, 108, 109, 113, 281, 290, 367, 381, 415], "pass": [3, 5, 6, 7, 8, 9, 12, 13, 15, 25, 27, 28, 30, 40, 42, 43, 45, 55, 57, 58, 60, 70, 72, 73, 75, 85, 87, 89, 95, 96, 449, 454, 456, 457, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 911, 913, 914], "path": [437, 466, 475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 841, 887, 889, 895, 911, 913], "patter": 4, "pattern": 915, "patton": 10, "pct_chang": [4, 87, 88, 437, 440, 907, 913, 914, 915], "pd": [3, 4, 87, 88, 271, 434, 510, 527, 543, 692, 708, 797, 813, 827, 855, 911, 913, 914, 915], "pdf": 456, "pdr": 279, "peak": 914, "per": [3, 280], "percentag": 280, "percentil": [3, 14, 29, 44, 59, 74, 89], "perform": [89, 95, 97, 270, 271, 280, 286, 465], "period": [279, 280, 347, 354, 433, 434, 437, 443, 451, 453, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 911, 915], "permit": 907, "perron": [93, 96, 276, 278, 289, 290, 432, 433], "persist": [4, 432, 434], "pessimist": 280, "phi": [4, 290, 446], "phi0": 911, "phi1": 911, "phi_": [440, 441, 451, 453], "phi_0": 911, "phi_1": 911, "phi_i": 453, "philip": 278, "phillip": [93, 95, 277, 278, 287, 289, 290, 432], "phillips_ouliari": [95, 289, 432, 433], "phillipsouliaristestresult": 290, "phillipsperron": [95, 289, 290, 432, 434], "pi": [110, 111, 112, 113, 444, 739, 769, 782], "pick": 434, "pinv": 89, "pit": [665, 744, 774, 787, 882], "place": 95, "plain": 89, "plan": 248, "pleas": [248, 510, 527, 543, 692, 708, 797, 813, 826, 854], "plot": [94, 271, 433, 434, 437, 827, 855, 912, 913, 914, 915], "plot_typ": [827, 855], "plt": [3, 271, 433, 434, 911, 912, 913, 914, 915], "plu": [279, 516, 532, 697, 713], "pm": 10, "po": 87, "po_pu_test": 433, "po_pz_test": 433, "po_za_test": 433, "po_zt_test": 433, "point": [446, 475, 479, 492, 496, 510, 516, 527, 532, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 660, 674, 678, 692, 697, 708, 713, 723, 727, 739, 753, 757, 769, 782, 797, 813, 826, 830, 854, 858, 895, 899, 911, 915], "politi": [1, 5, 8, 9, 10], "politisromanowolf": 1, "poor": 465, "poorli": 95, "popular": 907, "portfolio": 430, "pos_data": [5, 6, 7, 8, 9], "posdata": [12, 27, 42, 57, 72], "posit": [5, 6, 7, 8, 9, 12, 13, 27, 28, 42, 43, 48, 57, 58, 72, 73, 87, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 271, 278, 279, 434, 437, 446, 448, 510, 527, 543, 692, 708, 797, 813, 825, 826, 849, 854, 911], "possibl": [95, 433, 434, 911], "possibli": 279, "potenti": 270, "power": [95, 96, 115, 125, 139, 149, 159, 169, 179, 189, 199, 209, 219, 229, 239, 280, 434, 438, 446, 448, 485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905, 907, 911, 913, 914], "powershel": 96, "pp": [278, 433, 434], "ppf": 913, "pq": 276, "practic": [1, 97], "practition": 1, "pre": [95, 433, 437, 448, 505, 522, 538, 687, 703, 792, 808], "precis": [911, 915], "precomput": 465, "predict": [249, 251, 434, 911], "predictor": 271, "prefer": 271, "preliminari": 915, "premium": [430, 434], "prentic": 275, "presenc": [279, 280], "present": 89, "preserv": 95, "press": [1, 275, 278, 279], "prevent": 95, "previou": [3, 89, 434, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 912], "previous": [14, 29, 44, 59, 74, 94, 912, 914, 915], "price": [280, 433], "primari": 271, "primarili": 265, "prime": [102, 287], "princeton": [275, 278, 279], "print": [3, 271, 275, 276, 277, 278, 279, 430, 434, 437, 451, 508, 525, 541, 690, 706, 795, 811, 907, 911, 912, 913, 914, 915], "prior": [437, 510, 527, 543, 692, 708, 797, 813], "privat": [459, 908], "prng": [13, 16, 28, 31, 43, 46, 58, 61, 73, 76], "prob": [434, 850], "probabl": [270, 271, 665, 744, 774, 787, 882], "probit_wrap": 3, "probit_wrap_start_param": 3, "problem": [12, 27, 42, 57, 72, 89, 96, 434], "procedur": [93, 248, 251, 252, 270, 271], "process": [95, 96, 279, 280, 290, 430, 432, 433, 434, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 450, 451, 452, 453, 455, 458, 459, 476, 484, 486, 493, 501, 503, 516, 518, 532, 534, 548, 550, 559, 567, 569, 576, 584, 586, 593, 601, 603, 610, 619, 621, 628, 636, 638, 645, 653, 655, 675, 683, 685, 697, 699, 713, 715, 724, 732, 734, 754, 762, 764, 802, 804, 820, 837, 840, 844, 896, 904, 906, 907, 908, 910, 911, 913], "produc": [4, 12, 27, 42, 57, 72, 89, 95, 96, 270, 271, 290, 367, 381, 415, 437, 440, 441, 442, 446, 448, 451, 452, 458, 465, 475, 485, 492, 502, 510, 527, 543, 558, 568, 575, 585, 592, 602, 609, 620, 627, 637, 644, 654, 674, 684, 692, 708, 723, 733, 753, 763, 777, 790, 797, 813, 826, 827, 829, 833, 843, 854, 855, 857, 863, 895, 905, 907, 909, 910, 913, 914, 915], "product": [101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 290], "program": 10, "project": 96, "properti": [5, 6, 7, 8, 9, 16, 18, 19, 23, 31, 33, 34, 38, 46, 48, 49, 53, 61, 63, 64, 68, 76, 78, 79, 83, 96, 97, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 250, 251, 252, 254, 255, 256, 262, 269, 275, 276, 277, 278, 279, 280, 283, 285, 286, 288, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 364, 365, 366, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 380, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 399, 400, 401, 402, 403, 404, 405, 406, 407, 409, 410, 411, 412, 414, 416, 417, 418, 419, 420, 421, 422, 423, 425, 426, 427, 429, 433, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 471, 474, 476, 477, 480, 482, 484, 486, 493, 494, 497, 499, 501, 503, 507, 510, 511, 512, 513, 518, 519, 520, 524, 527, 528, 529, 534, 535, 536, 540, 543, 544, 545, 550, 551, 552, 559, 560, 563, 565, 567, 569, 576, 577, 580, 582, 584, 586, 593, 594, 597, 599, 601, 603, 610, 611, 614, 616, 617, 619, 621, 628, 629, 632, 634, 636, 638, 645, 646, 649, 651, 653, 655, 659, 662, 666, 675, 676, 679, 681, 683, 685, 689, 692, 693, 694, 699, 700, 701, 705, 708, 709, 710, 715, 716, 717, 724, 725, 728, 730, 732, 734, 738, 741, 745, 754, 755, 758, 760, 762, 764, 768, 771, 775, 781, 784, 788, 794, 797, 798, 799, 804, 805, 806, 810, 813, 814, 815, 820, 821, 822, 824, 825, 826, 828, 829, 830, 831, 832, 834, 835, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 848, 849, 851, 852, 853, 854, 856, 857, 858, 859, 860, 861, 862, 864, 865, 866, 867, 868, 869, 870, 872, 876, 879, 883, 887, 888, 889, 896, 897, 900, 902, 904, 906, 908, 909, 914, 916], "property_cach": 95, "proport": 447, "propto": 453, "provid": [2, 3, 5, 6, 8, 9, 11, 14, 20, 26, 29, 35, 41, 44, 50, 56, 59, 65, 71, 74, 80, 89, 95, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 124, 138, 148, 158, 168, 178, 188, 198, 208, 218, 228, 238, 250, 251, 252, 284, 290, 367, 381, 415, 436, 437, 438, 445, 449, 454, 456, 457, 469, 488, 508, 510, 525, 527, 541, 543, 554, 571, 588, 605, 623, 640, 670, 690, 692, 706, 708, 719, 749, 795, 797, 811, 813, 826, 827, 833, 854, 855, 863, 891, 908, 910, 911, 912, 914, 915, 917], "pseudo": [3, 89], "pu": [290, 433], "public": [436, 459, 908, 917], "pure": [434, 465], "purpos": [92, 911, 917], "push": 97, "pval": [262, 916], "pvalu": [94, 259, 260, 261, 271, 275, 276, 277, 278, 279, 286, 288, 430], "pvalue_typ": 259, "py": 434, "pyplot": [3, 271, 433, 434, 911, 912, 913, 914, 915], "pyproject": 95, "python": [92, 95, 96, 97, 465, 911, 913], "pyx": 465, "pz": [290, 433], "p\u1d64": 290, "q": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 281, 284, 375, 394, 437, 438, 444, 446, 448, 802, 907, 912, 913, 914, 915], "q_": 913, "qed": [275, 278], "qu": [96, 276], "quad": 769, "quadrat": [110, 275, 281, 282, 284, 287, 289, 290, 367, 381, 415, 430, 433], "quadraticspectr": 100, "qualiti": 1, "quantil": [4, 913], "quantiti": [3, 433, 827, 855, 914], "quartil": 3, "queen": [275, 278], "question": 271, "quickli": [914, 915], "quinn": 284, "quit": [433, 911], "r": [1, 3, 5, 7, 8, 9, 88, 249, 250, 251, 276, 434, 463, 866, 867, 907, 911, 912, 914, 915], "r2": [451, 463], "r_": [89, 913], "r_t": [437, 907, 914], "rabba": 95, "rais": [95, 96, 459, 475, 486, 492, 503, 508, 510, 525, 527, 541, 543, 558, 569, 575, 586, 592, 603, 609, 621, 627, 638, 644, 655, 674, 685, 690, 692, 706, 708, 723, 734, 753, 764, 795, 797, 811, 813, 895, 906], "rand": 87, "randint": 915, "randn": [11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 89, 271, 441, 442, 451, 452, 458, 516, 532, 697, 713], "random": [3, 5, 6, 7, 8, 9, 11, 12, 14, 15, 17, 19, 21, 22, 25, 26, 27, 29, 30, 32, 34, 36, 37, 40, 41, 42, 44, 45, 47, 49, 51, 52, 55, 56, 57, 59, 60, 62, 64, 66, 67, 70, 71, 72, 74, 75, 77, 79, 81, 82, 85, 87, 89, 95, 96, 258, 264, 268, 271, 279, 434, 437, 441, 442, 449, 451, 452, 454, 456, 457, 458, 475, 479, 492, 496, 510, 516, 527, 532, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 697, 708, 713, 723, 727, 753, 757, 797, 813, 826, 854, 895, 899, 911, 914], "random_st": [5, 6, 7, 8, 9, 95, 96, 449, 454, 456, 457, 464, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 854, 895, 915], "randomst": [3, 5, 6, 7, 8, 9, 13, 16, 19, 23, 28, 31, 34, 38, 43, 46, 49, 53, 58, 61, 64, 68, 73, 76, 79, 83, 89, 95, 96, 250, 251, 252, 449, 451, 454, 456, 457, 464, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 659, 666, 674, 692, 708, 723, 738, 745, 753, 768, 775, 781, 788, 797, 813, 826, 854, 876, 883, 895, 911, 914, 915], "randomstatest": 273, "rang": [271, 280, 434, 911, 912, 913, 915], "rank": [3, 95], "rapidli": 915, "rare": 89, "rate": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 252, 270, 271, 272, 433, 434], "rather": [10, 96, 270, 271, 276, 280, 437, 913, 914], "ratio": [4, 87, 88, 93, 279, 290, 343, 354, 432, 433], "ravel": 89, "rc": [3, 271, 433, 434, 911, 912, 913, 914, 915], "rceil": 10, "re": [251, 271, 278, 433, 437, 440, 441, 442, 451, 452, 458, 510, 527, 543, 692, 708, 797, 813, 827, 833, 855, 863, 907, 911, 913, 914, 915], "real": [271, 911], "realist": 450, "realiti": [249, 251, 271], "realitycheck": [270, 271], "realiz": [271, 510, 527, 543, 692, 708, 797, 813, 826, 854], "realli": 911, "reason": [3, 90, 271, 434, 915], "recent": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 88, 248, 251, 290, 911], "recommend": [90, 459, 465], "recov": 911, "recurs": [92, 437, 446, 468, 472, 475, 483, 486, 487, 490, 492, 500, 503, 508, 525, 541, 553, 556, 558, 566, 569, 570, 573, 575, 583, 586, 587, 590, 592, 600, 603, 604, 607, 609, 618, 621, 622, 625, 627, 635, 638, 639, 642, 644, 652, 655, 669, 672, 674, 682, 685, 690, 706, 718, 721, 723, 731, 734, 748, 751, 753, 761, 764, 795, 811, 890, 893, 895, 903, 906, 911], "redefin": 94, "reduc": 95, "reduct": 280, "refactor": 92, "refer": [2, 10, 250, 251, 252, 272, 275, 276, 277, 278, 279, 280, 282, 284, 287, 290, 453, 456, 664, 743, 773, 786, 881, 910], "refin": 4, "reflect": [97, 912, 915], "reg_r": 434, "reg_result": 285, "regard": 271, "regress": [89, 95, 271, 275, 276, 278, 280, 282, 284, 285, 286, 287, 289, 290, 293, 295, 306, 308, 319, 320, 330, 331, 344, 345, 358, 359, 367, 375, 381, 390, 394, 404, 410, 411, 414, 415, 426, 429, 432, 433, 516, 532, 697, 713], "regressand": 89, "regressionresult": [285, 286, 288, 298, 311, 334], "regressor": [3, 89, 95, 367, 375, 381, 390, 394, 415, 433, 440, 441, 451, 452, 510, 515, 516, 519, 527, 531, 532, 535, 543, 547, 551, 692, 696, 697, 700, 708, 712, 713, 716, 797, 801, 805, 813, 817, 826, 854, 907, 914], "reindex": [4, 87, 88, 95, 97, 461, 510, 527, 543, 692, 708, 797, 813, 826, 854], "reiniti": 3, "reisz": 109, "reject": [259, 271, 275, 276, 277, 278, 279, 433, 434], "rel": [89, 455], "relat": [7, 91, 95, 96, 98, 270, 446, 448, 907, 914], "relationship": [433, 437, 777, 790, 911], "releas": 248, "relev": [248, 251, 907, 909], "reload": 95, "remain": [10, 911], "remaind": 915, "remov": [93, 94, 95, 96, 97, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 516, 532, 548, 697, 713, 802], "rep": [11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 250, 251, 252, 271], "repeat": [3, 95, 271, 911, 912], "repec": [275, 278], "repetit": 912, "replac": [96, 433, 437, 446, 911, 915], "replic": [4, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 250, 251, 252, 271, 277], "report": [95, 440, 441, 442, 451, 452, 458, 907], "represent": 446, "repro_mod": 914, "reproduc": [5, 6, 7, 8, 9, 89, 95, 271, 449, 454, 456, 457, 914], "requir": [3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 89, 91, 95, 97, 98, 251, 252, 271, 275, 279, 433, 434, 437, 475, 479, 492, 496, 510, 516, 527, 532, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 697, 708, 713, 723, 727, 753, 757, 797, 813, 826, 854, 895, 899, 911, 912, 913, 914], "rerun": [14, 29, 44, 59, 74, 433], "res0": 911, "res1": 911, "res_norm": 914, "res_skewt": 914, "res_t": 914, "resampl": [4, 6, 7, 279], "rescal": [95, 97, 375, 390, 394, 440, 441, 442, 451, 452, 458, 459, 868, 907], "rese": [21, 36, 51, 66, 81], "research": 1, "reserv": [5, 6, 7, 8, 9, 914], "reset": [3, 914, 915], "resid": [89, 283, 285, 434, 460, 463, 468, 470, 472, 475, 479, 481, 483, 485, 487, 489, 490, 492, 496, 498, 500, 502, 553, 555, 556, 558, 562, 564, 566, 568, 570, 572, 573, 575, 579, 581, 583, 585, 587, 589, 590, 592, 596, 598, 600, 602, 604, 606, 607, 609, 613, 615, 618, 620, 622, 624, 625, 627, 631, 633, 635, 637, 639, 641, 642, 644, 648, 650, 652, 654, 656, 657, 660, 669, 671, 672, 674, 678, 680, 682, 684, 718, 720, 721, 723, 727, 729, 731, 733, 735, 736, 739, 748, 750, 751, 753, 757, 759, 761, 763, 765, 766, 769, 778, 779, 782, 873, 874, 877, 890, 892, 893, 895, 899, 901, 903, 905, 911, 912, 914, 915], "resid_mod": 911, "residu": [4, 89, 95, 282, 285, 287, 289, 290, 367, 374, 375, 390, 393, 394, 408, 410, 415, 424, 426, 433, 434, 437, 460, 462, 463, 468, 470, 472, 475, 479, 481, 483, 485, 487, 489, 490, 492, 496, 498, 500, 502, 515, 531, 547, 553, 555, 556, 558, 562, 564, 566, 568, 570, 572, 573, 575, 579, 581, 583, 585, 587, 589, 590, 592, 596, 598, 600, 602, 604, 606, 607, 609, 613, 615, 618, 620, 622, 624, 625, 627, 631, 633, 635, 637, 639, 641, 642, 644, 648, 650, 652, 654, 656, 660, 668, 669, 671, 672, 674, 678, 680, 682, 684, 696, 712, 718, 720, 721, 723, 727, 729, 731, 733, 735, 739, 747, 748, 750, 751, 753, 757, 759, 761, 763, 765, 769, 777, 778, 782, 790, 801, 817, 823, 833, 834, 835, 838, 842, 847, 863, 865, 870, 873, 877, 885, 890, 892, 893, 895, 899, 901, 903, 905, 907, 910, 911, 912, 913, 914, 915], "residual_vari": [437, 461, 462, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913, 915], "respect": [259, 833, 863], "restor": [95, 434, 914], "restrict": [118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242, 284, 438, 450, 911], "result": [3, 5, 6, 8, 9, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 95, 280, 285, 286, 289, 290, 298, 311, 334, 367, 381, 415, 430, 433, 434, 437, 440, 441, 442, 451, 452, 458, 460, 463, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 823, 836, 839, 847, 851, 860, 871, 907, 910, 911, 912, 913, 914, 915], "ret": [440, 915], "retain": [5, 6, 7, 8, 9], "rets_2018": 913, "return": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 53, 55, 56, 57, 58, 59, 60, 61, 62, 64, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 83, 85, 87, 88, 89, 95, 102, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 138, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 239, 240, 241, 243, 244, 245, 246, 247, 254, 255, 256, 259, 261, 262, 269, 270, 281, 289, 290, 297, 298, 303, 310, 311, 316, 322, 327, 333, 334, 337, 340, 347, 348, 355, 361, 366, 367, 375, 379, 381, 390, 394, 398, 402, 408, 411, 415, 419, 424, 430, 434, 437, 440, 468, 469, 470, 473, 475, 478, 479, 481, 483, 485, 486, 487, 488, 489, 491, 492, 495, 496, 498, 500, 502, 503, 504, 506, 508, 509, 510, 513, 514, 515, 516, 517, 520, 521, 523, 525, 526, 527, 529, 530, 531, 532, 533, 536, 537, 539, 541, 542, 543, 545, 546, 547, 548, 549, 552, 553, 554, 555, 557, 558, 561, 562, 564, 566, 568, 569, 570, 571, 572, 574, 575, 578, 579, 581, 583, 585, 586, 587, 588, 589, 591, 592, 595, 596, 598, 600, 602, 603, 604, 605, 606, 608, 609, 612, 613, 615, 618, 620, 621, 622, 623, 624, 626, 627, 630, 631, 633, 635, 637, 638, 639, 640, 641, 643, 644, 647, 648, 650, 652, 654, 655, 656, 657, 658, 660, 661, 663, 664, 665, 667, 668, 669, 670, 671, 673, 674, 677, 678, 680, 682, 684, 685, 686, 688, 690, 691, 692, 694, 695, 696, 697, 698, 701, 702, 704, 706, 707, 708, 710, 711, 712, 713, 714, 717, 718, 719, 720, 723, 726, 727, 729, 731, 733, 734, 735, 736, 737, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 752, 753, 756, 757, 759, 761, 763, 764, 765, 766, 767, 769, 770, 772, 773, 774, 776, 777, 778, 779, 780, 782, 783, 785, 786, 787, 789, 790, 791, 793, 795, 796, 797, 799, 800, 801, 802, 803, 806, 807, 809, 811, 812, 813, 816, 817, 819, 821, 823, 825, 826, 827, 833, 836, 839, 847, 849, 850, 854, 855, 860, 863, 871, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 890, 891, 892, 894, 895, 898, 899, 901, 903, 905, 906, 907, 909, 911, 913, 914, 915], "reus": [3, 14, 29, 44, 59, 74], "revers": 911, "review": [10, 277, 456], "revis": 280, "rf": [3, 434], "rho": [278, 288, 337, 433, 434, 455], "right": [4, 10, 101, 106, 110, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 282, 284, 287, 289, 290, 437, 438, 444, 448, 450, 453, 660, 739, 769, 782, 911, 914], "risk": [3, 910], "riskmetr": [445, 455, 914], "riskmetrics2006": 914, "river": 275, "rm": [445, 455], "rng": [89, 475, 479, 492, 496, 510, 527, 543, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 674, 678, 692, 708, 723, 727, 753, 757, 797, 813, 826, 854, 895, 899, 911, 915], "rngtype": 273, "robust": [279, 367, 381, 415, 505, 508, 522, 525, 538, 541, 687, 690, 703, 706, 792, 795, 808, 811, 907, 911, 912, 914, 915], "roll": 94, "romano": [1, 5, 8, 9, 10, 249, 252, 270], "romanowolf": 249, "root": [93, 95, 97, 248, 275, 276, 277, 278, 280, 289, 290, 299, 312, 323, 335, 350, 362, 430, 433, 440, 825, 849], "rot": 271, "rotat": 451, "rothenberg": 276, "routin": [92, 248, 432], "row": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 437, 510, 527, 543, 692, 708, 797, 813, 826, 850, 854, 911], "rsquar": [283, 451], "rsquared_adj": 283, "rule": [271, 913], "run": [3, 14, 29, 44, 59, 74, 95, 97, 102, 134, 137, 248, 265, 271, 276, 277, 278, 280, 282, 287, 290, 293, 306, 319, 330, 344, 358, 367, 371, 375, 381, 390, 394, 415, 417, 421, 433, 434, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 854, 855, 895, 911, 912, 913, 914, 915], "runner": 434, "r\u00b2": [376, 377, 395, 396], "s437301": 280, "saddl": 275, "saikkonen": 284, "same": [2, 3, 4, 5, 6, 7, 8, 9, 14, 29, 44, 59, 74, 270, 271, 284, 334, 390, 433, 434, 438, 443, 447, 460, 463, 472, 485, 490, 502, 510, 517, 527, 533, 543, 549, 556, 568, 573, 585, 590, 602, 607, 620, 625, 637, 642, 654, 672, 684, 692, 698, 708, 714, 721, 733, 751, 763, 797, 803, 813, 819, 826, 854, 893, 905, 907, 909, 911, 912, 914, 915], "sampl": [2, 4, 7, 10, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 88, 89, 90, 94, 95, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 276, 277, 286, 437, 440, 441, 442, 451, 452, 458, 475, 492, 505, 510, 522, 527, 538, 543, 558, 575, 592, 609, 627, 644, 674, 687, 692, 703, 708, 723, 753, 792, 797, 808, 813, 826, 852, 853, 854, 895, 907, 913, 915], "san": [3, 271, 433, 434, 911, 912, 913, 914, 915], "satisfi": [4, 279, 438, 506, 523, 539, 658, 688, 704, 737, 767, 780, 793, 809, 875], "save": [3, 271, 914], "savefig": [3, 271, 433, 434, 911, 912, 913, 914, 915], "sb": [250, 251, 252], "scalar": [440, 441, 450, 451, 479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 678, 697, 713, 727, 757, 802, 899, 907], "scale": [14, 29, 44, 59, 74, 95, 271, 440, 441, 442, 447, 451, 452, 455, 458, 469, 488, 554, 571, 588, 605, 623, 640, 670, 719, 749, 833, 863, 891, 907, 912, 914, 915], "scatter": 913, "scenario": [510, 527, 543, 692, 708, 797, 813, 826, 854, 910], "scenario_bootstrap": 915, "scenario_forecast": 915, "scenario_rng": 915, "scenariobootstraprng": 915, "scheme": [2, 437], "schmidt": 277, "schwartz": 284, "schwarz": [275, 276, 280, 824, 848], "schwert": [277, 280], "scienc": [1, 664, 743, 773, 786, 881], "scipi": [95, 96, 97, 508, 525, 541, 690, 706, 795, 811, 851, 860], "score": [3, 381], "se": 3, "seaborn": [3, 87, 271, 433, 434, 911, 912, 913, 914, 915], "search": 97, "second": [3, 5, 6, 7, 8, 9, 87, 89, 271], "section": [7, 286, 289, 290, 381, 433], "see": [3, 4, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 95, 250, 271, 275, 277, 278, 279, 280, 282, 284, 287, 301, 314, 325, 338, 352, 364, 433, 453, 465, 510, 527, 543, 664, 692, 708, 743, 773, 786, 797, 813, 826, 854, 881, 910, 911, 914, 917], "seed": [3, 5, 6, 7, 8, 9, 13, 20, 28, 35, 43, 50, 58, 65, 73, 80, 96, 250, 251, 252, 271, 449, 454, 456, 457, 464, 914, 915], "sel": 913, "select": [10, 95, 96, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 252, 275, 276, 277, 280, 281, 284, 286, 289, 294, 307, 405, 430, 432, 434, 480, 482, 497, 499, 563, 565, 580, 582, 597, 599, 614, 616, 632, 634, 649, 651, 679, 681, 728, 730, 758, 760, 900, 902], "selector": 265, "self": [28, 43, 915], "semi": [14, 29, 44, 59, 74, 89], "semidefinit": 278, "semiparametr": [2, 4, 14, 29, 44, 59, 74], "sens": [437, 911, 915], "separ": [3, 95, 467, 914], "septemb": [510, 527, 543, 692, 708, 797, 813], "sequenc": [281, 450, 451, 479, 496, 509, 516, 526, 532, 542, 548, 562, 579, 596, 613, 631, 648, 657, 660, 661, 664, 665, 667, 678, 691, 697, 707, 713, 727, 736, 739, 740, 743, 744, 746, 757, 766, 769, 770, 773, 774, 776, 779, 782, 783, 786, 787, 789, 796, 802, 812, 818, 874, 877, 878, 881, 882, 884, 899, 913], "sequenti": 271, "seri": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 25, 26, 27, 28, 29, 30, 40, 41, 42, 43, 44, 45, 55, 56, 57, 58, 59, 60, 70, 71, 72, 73, 74, 75, 85, 88, 95, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 261, 262, 271, 273, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 303, 316, 327, 340, 355, 366, 372, 373, 374, 378, 380, 386, 391, 392, 393, 397, 399, 401, 402, 410, 418, 419, 426, 430, 432, 433, 434, 440, 441, 442, 451, 452, 458, 459, 460, 463, 475, 479, 492, 496, 508, 509, 510, 515, 516, 520, 525, 526, 527, 531, 532, 536, 541, 542, 543, 547, 548, 552, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 657, 660, 661, 664, 665, 667, 674, 678, 690, 691, 692, 696, 697, 701, 706, 707, 708, 712, 713, 717, 723, 727, 736, 739, 740, 743, 744, 746, 753, 757, 766, 769, 770, 773, 774, 776, 779, 782, 783, 786, 787, 789, 795, 796, 797, 801, 802, 806, 811, 812, 813, 817, 818, 821, 825, 826, 827, 832, 834, 835, 849, 854, 855, 862, 864, 865, 869, 870, 872, 874, 877, 878, 881, 882, 884, 895, 899, 907, 911, 914], "serial": [3, 4, 86, 278, 279, 280], "serif": [3, 271, 433, 434, 911, 912, 913, 914, 915], "serv": 271, "set": [3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 16, 19, 20, 22, 23, 26, 29, 31, 34, 35, 37, 38, 41, 44, 46, 49, 50, 52, 53, 56, 59, 61, 64, 65, 67, 68, 71, 74, 76, 79, 80, 82, 83, 86, 95, 96, 97, 249, 250, 253, 259, 265, 266, 272, 276, 277, 278, 289, 290, 293, 294, 301, 306, 307, 314, 319, 325, 330, 337, 338, 343, 344, 347, 349, 352, 358, 364, 367, 381, 386, 406, 415, 422, 430, 433, 437, 445, 447, 449, 454, 456, 457, 507, 508, 510, 516, 518, 524, 525, 527, 532, 534, 540, 541, 543, 550, 689, 690, 692, 697, 699, 705, 706, 708, 713, 715, 794, 795, 797, 804, 810, 811, 813, 820, 826, 827, 854, 855, 911, 913, 914, 915], "set_label": 913, "set_stat": [96, 914], "set_styl": [3, 271, 433, 434, 911, 912, 913, 914, 915], "set_titl": [433, 913, 915], "set_xlim": [433, 911, 913, 914, 915], "set_xtick": [913, 915], "set_ylim": 915, "setup": [2, 3, 271, 433, 913], "sgn": 769, "shape": [3, 4, 89, 447, 451, 456, 460, 463, 473, 475, 491, 492, 510, 527, 543, 557, 558, 574, 575, 591, 592, 608, 609, 626, 627, 643, 644, 660, 663, 668, 673, 674, 692, 708, 723, 739, 742, 747, 752, 753, 769, 772, 777, 782, 785, 790, 797, 813, 826, 827, 854, 855, 877, 880, 885, 894, 895, 911, 912, 915], "share": [430, 438], "sharp": [4, 87, 88], "sharp_ratio": 87, "sharpe_ratio": [3, 4, 87, 88], "sharpe_ratio_s": 4, "sheppard": [248, 453], "shift": [911, 913, 915], "shin": 277, "shock": [280, 437, 466, 907, 911, 914, 915], "short": [95, 102, 137, 375, 394, 455], "short_run": [102, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241], "should": [3, 4, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 89, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 248, 250, 251, 252, 271, 275, 278, 284, 440, 441, 446, 447, 448, 451, 452, 459, 508, 525, 541, 690, 706, 795, 811, 833, 863, 908, 911, 912, 915], "show": [3, 12, 27, 42, 57, 72, 430, 433, 911, 912, 913, 914, 915], "show_warn": [508, 525, 541, 690, 706, 795, 811], "shown": [508, 525, 541, 690, 706, 795, 811], "side": [4, 102, 135, 136, 282, 284, 287, 289, 290, 434], "sigma": [3, 4, 10, 88, 282, 284, 290, 375, 381, 394, 437, 440, 508, 525, 541, 660, 690, 706, 739, 769, 782, 795, 811, 907, 914], "sigma2": [89, 469, 472, 483, 488, 490, 500, 554, 556, 566, 571, 573, 583, 588, 590, 600, 605, 607, 618, 623, 625, 635, 640, 642, 652, 660, 670, 672, 682, 719, 721, 731, 739, 749, 751, 761, 769, 782, 877, 891, 893, 903, 912, 914], "sigma_": [437, 438, 444, 445, 448, 450, 453, 913, 914], "sigma_t": [437, 439, 440, 445, 907, 914], "signatur": [15, 25, 30, 40, 45, 55, 60, 70, 75, 85], "signific": [275, 278, 280, 914], "silent": 907, "sim": [437, 913, 914, 915], "sim_ar1": 911, "sim_data": [510, 516, 527, 532, 543, 548, 692, 697, 708, 713, 797, 802, 813, 827, 833, 855, 863, 914], "sim_fixedx": 911, "sim_forecast": 915, "sim_mod": 914, "sim_path": 915, "similar": [271, 272, 433, 434, 437, 456, 913, 915], "similarli": [14, 29, 44, 59, 74], "simpl": [3, 4, 276, 278, 284, 433, 434, 451, 907, 911, 914], "simplefilt": 434, "simpler": 89, "simplest": [4, 907, 914], "simpli": [88, 94, 912], "simplic": 89, "simplifi": [94, 95, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911], "simul": [4, 14, 15, 25, 29, 30, 40, 44, 45, 55, 59, 60, 70, 74, 75, 85, 87, 89, 95, 96, 271, 273, 275, 276, 277, 278, 287, 440, 441, 442, 451, 452, 458, 462, 466, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 827, 833, 841, 842, 843, 845, 854, 855, 863, 895, 910, 915], "simulated_data": [516, 532, 548, 697, 713, 802], "simulated_path": 461, "simulated_residu": 461, "simulated_residual_vari": 461, "simulated_vari": 461, "sin": 110, "sinc": [3, 4, 5, 6, 8, 9, 10, 89, 251, 252, 271, 433, 434, 437, 445, 447, 449, 454, 455, 456, 457, 465, 508, 510, 525, 527, 541, 543, 666, 690, 692, 706, 708, 739, 745, 775, 788, 795, 797, 811, 813, 826, 854, 883, 911, 912, 914, 915], "singl": [280, 430, 432, 434, 437, 475, 479, 483, 492, 496, 500, 510, 527, 543, 558, 562, 566, 575, 579, 583, 592, 596, 600, 609, 613, 618, 627, 631, 635, 644, 648, 652, 656, 660, 667, 674, 678, 682, 692, 708, 723, 727, 731, 735, 739, 746, 753, 757, 761, 765, 769, 776, 778, 782, 789, 797, 813, 826, 854, 873, 884, 895, 899, 903, 912, 915], "singleton": 87, "singular": 433, "site": 914, "size": [3, 4, 5, 8, 9, 10, 14, 29, 44, 59, 74, 86, 88, 95, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 250, 252, 256, 270, 271, 272, 275, 276, 277, 278, 280, 286, 433, 434, 472, 490, 510, 527, 543, 556, 573, 590, 607, 625, 642, 667, 672, 692, 708, 721, 746, 747, 751, 776, 789, 797, 813, 826, 850, 854, 884, 885, 893, 912, 913, 914, 915, 916], "skew": [4, 94, 434, 456, 769, 907, 914], "skewstud": [95, 907, 914], "skewt": [907, 913, 914], "skip": [827, 855], "slice": 463, "slightli": [3, 280, 913], "slow": [4, 251, 252], "slower": 275, "slowli": 915, "slsqp": [508, 525, 541, 690, 706, 795, 811], "sm": [3, 271, 275, 276, 277, 278, 434], "small": [91, 93, 95, 96, 98, 270, 271, 912], "smaller": [270, 271], "smallest": 256, "smb": [3, 434], "smooth": [95, 445, 455], "sn": [913, 915], "snoop": [249, 251, 252], "snooper": [251, 271], "so": [3, 7, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 89, 90, 94, 95, 96, 97, 270, 271, 282, 287, 290, 433, 434, 437, 440, 447, 451, 453, 510, 527, 543, 692, 708, 797, 813, 825, 826, 849, 854, 911, 912, 913, 914, 915, 917], "societi": [282, 284, 290], "softwar": 280, "some": [4, 7, 10, 270, 271, 279, 434, 437, 909, 911, 914, 915, 917], "someth": [12, 27, 42, 57, 72], "somewhat": 914, "son": 1, "sort": 271, "sourc": [5, 6, 7, 8, 9, 10, 13, 24, 26, 27, 28, 29, 30, 32, 35, 36, 37, 39, 40, 50, 54, 69, 84, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 253, 259, 260, 261, 263, 265, 266, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 367, 381, 398, 413, 415, 428, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 466, 467, 470, 472, 473, 478, 479, 481, 498, 510, 515, 517, 546, 547, 548, 553, 554, 555, 556, 557, 561, 562, 564, 570, 571, 572, 573, 574, 578, 579, 581, 585, 589, 590, 591, 595, 596, 598, 604, 605, 606, 607, 608, 612, 613, 615, 620, 622, 624, 625, 626, 630, 631, 633, 639, 640, 641, 642, 643, 647, 648, 650, 654, 656, 657, 658, 660, 661, 663, 664, 665, 667, 668, 671, 672, 673, 677, 678, 680, 692, 695, 696, 697, 720, 721, 722, 726, 727, 729, 735, 736, 737, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 751, 752, 756, 757, 759, 763, 765, 766, 767, 769, 770, 772, 773, 774, 776, 777, 778, 779, 780, 782, 783, 785, 786, 787, 789, 790, 800, 801, 802, 807, 808, 809, 811, 812, 813, 816, 817, 818, 819, 823, 826, 827, 833, 836, 850, 871, 873, 874, 875, 877, 878, 880, 881, 882, 884, 885, 890, 891, 892, 893, 894, 895, 898, 899, 901, 903, 905, 907, 916], "sp500": [4, 87, 88, 437, 440, 907, 913, 914], "spa": 252, "space": 912, "special": [4, 450, 917], "specif": [3, 89, 95, 96, 284, 286, 290, 292, 305, 318, 329, 334, 342, 357, 437, 465, 508, 509, 525, 526, 541, 542, 690, 691, 706, 707, 795, 796, 811, 812, 907, 908, 913, 915], "specifi": [89, 94, 95, 97, 433, 434, 437, 440, 446, 448, 451, 459, 460, 467, 509, 526, 542, 691, 707, 796, 812, 823, 847, 907, 908, 910, 911, 913, 915], "spectral": [110, 281, 290, 367, 381, 415], "sphinx": 96, "spine": [827, 855], "split": 271, "split_dat": 437, "spot": 433, "sqrt": [3, 4, 10, 87, 88, 89, 250, 251, 252, 290, 437, 444, 455, 769, 913, 915], "squar": [3, 4, 271, 381, 434, 437, 440, 452, 463, 485, 502, 510, 527, 543, 568, 585, 602, 620, 637, 654, 684, 692, 708, 733, 763, 797, 813, 825, 826, 827, 849, 854, 855, 866, 867, 905, 907, 911, 912, 914, 915], "squeez": [3, 430], "sr": [3, 4, 87, 88], "ssc": 456, "st": 914, "stabil": 433, "stabl": 248, "stamp": 911, "standard": [3, 4, 14, 29, 44, 59, 74, 86, 87, 88, 95, 275, 378, 397, 434, 437, 438, 444, 446, 448, 451, 454, 456, 457, 485, 502, 505, 522, 538, 568, 585, 602, 620, 637, 654, 668, 684, 687, 703, 733, 739, 747, 763, 769, 777, 782, 790, 792, 808, 823, 833, 835, 847, 863, 869, 870, 885, 905, 907, 911, 913, 914, 915], "standard_norm": [3, 5, 6, 7, 8, 9, 89, 911, 915], "stanislav": 94, "star": [4, 287], "star_": [282, 287], "star_t": [282, 287], "start": [3, 4, 5, 87, 88, 90, 279, 430, 432, 437, 440, 441, 442, 451, 452, 458, 468, 475, 481, 487, 492, 498, 508, 510, 517, 525, 527, 533, 541, 543, 549, 553, 558, 564, 570, 575, 581, 587, 592, 598, 604, 609, 615, 622, 627, 633, 639, 644, 650, 668, 669, 674, 680, 690, 692, 698, 706, 708, 714, 718, 723, 729, 747, 748, 753, 759, 777, 790, 795, 797, 803, 811, 813, 819, 826, 827, 852, 854, 855, 885, 890, 895, 901, 907, 908, 911, 913, 915], "start_index": 461, "start_loc": 913, "start_param": 3, "starting_valu": [508, 525, 541, 690, 706, 795, 811], "stat": [3, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 275, 276, 277, 278, 280, 286, 288, 289, 337, 430, 433, 914, 916], "stata": 280, "state": [3, 17, 19, 20, 22, 32, 34, 35, 37, 47, 49, 50, 52, 62, 64, 65, 67, 77, 79, 80, 82, 89, 96, 257, 263, 267, 914, 915], "statement": 916, "stationar": [277, 434], "stationari": [3, 10, 88, 90, 250, 251, 252, 277, 430, 432, 433, 434], "stationarybootstrap": [3, 5, 8, 10, 88, 90, 96], "statist": [1, 4, 7, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 95, 249, 251, 271, 275, 277, 278, 279, 280, 286, 290, 295, 297, 299, 300, 303, 308, 310, 312, 313, 316, 320, 322, 323, 324, 327, 331, 333, 334, 335, 336, 340, 345, 348, 350, 351, 355, 359, 361, 362, 363, 366, 380, 399, 402, 409, 412, 413, 419, 425, 427, 428, 430, 433, 434, 864, 872, 916], "statistica": 277, "statistician": 1, "statsmodel": [96, 97, 271, 275, 276, 277, 278, 285, 381, 434], "stattool": 434, "statu": 271, "std": [3, 379, 398, 434, 907, 911, 912, 914, 915], "std_err_func": [4, 14, 29, 44, 59, 74], "std_resid": [95, 96, 668, 747, 777, 790, 885, 914], "std_ret": 913, "std_shock": 915, "stdout": 913, "step": [3, 12, 27, 42, 57, 72, 89, 95, 96, 276, 290, 432, 433, 437, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 911, 912, 913], "stepm": [251, 265], "stepwis": [249, 252], "still": [446, 510, 527, 543, 692, 708, 797, 813, 826, 854], "stochast": [286, 289, 403, 420], "stock": [276, 284], "store": [472, 483, 490, 500, 556, 566, 573, 583, 590, 600, 607, 618, 625, 635, 642, 652, 672, 682, 721, 731, 751, 761, 893, 903], "str": [11, 12, 14, 15, 17, 18, 22, 23, 25, 26, 27, 29, 30, 32, 33, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 52, 53, 54, 55, 56, 57, 59, 60, 62, 63, 67, 68, 70, 71, 72, 74, 75, 77, 78, 82, 83, 85, 102, 121, 131, 145, 155, 165, 175, 185, 195, 205, 215, 225, 235, 245, 271, 273, 283, 285, 286, 288, 290, 291, 292, 296, 301, 302, 304, 305, 309, 315, 317, 318, 321, 325, 326, 328, 329, 332, 337, 338, 339, 341, 342, 346, 352, 353, 356, 357, 360, 364, 365, 367, 370, 381, 384, 387, 400, 406, 407, 408, 414, 415, 416, 421, 422, 423, 424, 429, 460, 463, 476, 478, 493, 495, 508, 509, 510, 512, 514, 525, 526, 527, 528, 530, 541, 542, 543, 544, 546, 559, 561, 576, 578, 593, 595, 610, 612, 628, 630, 645, 647, 662, 663, 675, 677, 690, 691, 692, 693, 695, 706, 707, 708, 709, 711, 724, 726, 741, 742, 754, 756, 771, 772, 784, 785, 795, 796, 797, 798, 800, 811, 812, 813, 814, 816, 826, 827, 833, 854, 855, 863, 879, 880, 896, 898, 916], "strategi": [912, 915], "strict": [102, 136, 290], "strictli": [446, 448], "string": [259, 290, 367, 381, 415, 437, 440, 463, 510, 527, 543, 692, 708, 797, 813, 826, 827, 833, 854, 855, 863], "strong": 434, "stronger": 3, "structur": [7, 89, 280, 430, 433, 434, 437, 440, 441, 451, 911], "student": [3, 14, 29, 44, 59, 74, 95, 251, 252, 271, 437, 456, 457, 769, 782, 907], "studentize_rep": [14, 29, 44, 59, 74], "studentst": [96, 907, 914], "studi": [96, 277, 280, 287], "style": 271, "su": 271, "subarrai": [480, 482, 497, 499, 563, 565, 580, 582, 597, 599, 614, 616, 632, 634, 649, 651, 679, 681, 728, 730, 758, 760, 900, 902], "subclass": [459, 464, 465, 507, 518, 524, 534, 540, 550, 689, 699, 705, 715, 794, 804, 810, 820], "subplot": [913, 914, 915], "subsampl": 1, "subsequ": 280, "subset": 259, "substanti": [95, 914], "subtli": 95, "subtract": [290, 911], "successfulli": [907, 912, 913, 914], "suffici": 434, "sum": [284, 375, 394, 453, 660, 739, 769, 782, 877], "sum_": [10, 282, 284, 287, 290, 411, 437, 438, 439, 440, 441, 444, 446, 448, 450, 451, 453], "summari": [430, 433, 434, 907, 911, 912, 914], "superior": [249, 251, 259, 266, 269], "superior_model": 271, "suppli": 911, "support": [5, 6, 7, 8, 9, 95, 96, 97, 290, 301, 314, 325, 338, 352, 364, 379, 398, 430, 437, 475, 484, 492, 501, 508, 510, 525, 527, 541, 543, 558, 567, 575, 584, 592, 601, 609, 619, 627, 636, 644, 653, 674, 683, 690, 692, 706, 708, 723, 732, 753, 762, 795, 797, 811, 813, 826, 827, 833, 854, 855, 863, 895, 904, 907, 908, 911, 915], "suppos": [95, 915], "suppress": 914, "surfac": [275, 278], "surg": 433, "surpris": 915, "survei": 453, "sv": [481, 498, 517, 533, 549, 564, 581, 598, 615, 633, 650, 668, 680, 698, 714, 729, 747, 759, 777, 790, 803, 819, 885, 901], "switch": 96, "sy": 913, "symmetr": [438, 439, 444, 446, 448, 907, 914], "syntax": [5, 6, 7, 8, 9, 510, 527, 543, 692, 708, 797, 813, 826, 854], "system": [5, 6, 8, 9, 284, 449, 454, 456, 457], "systemat": [90, 914], "t": [1, 3, 4, 89, 94, 95, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 250, 251, 252, 271, 275, 276, 278, 280, 282, 284, 287, 289, 290, 367, 375, 380, 381, 390, 394, 399, 411, 415, 433, 434, 437, 438, 439, 440, 441, 444, 445, 446, 448, 450, 451, 453, 456, 510, 527, 543, 692, 708, 769, 782, 797, 813, 825, 826, 849, 854, 864, 872, 907, 911, 912, 913, 915], "tabl": [275, 430, 836, 871, 911], "tail": [14, 29, 44, 59, 74, 437, 456, 668, 911, 914], "take": [3, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 271, 456, 475, 479, 492, 496, 558, 562, 575, 579, 592, 596, 609, 613, 627, 631, 644, 648, 667, 674, 678, 723, 727, 746, 753, 757, 776, 789, 884, 895, 899, 911, 914], "taken": 10, "tarch": [448, 510, 527, 543, 692, 708, 797, 813, 826, 827, 854, 855, 907], "target": [437, 461, 510, 527, 543, 692, 708, 797, 813, 826, 854, 913], "tau": [278, 290, 337, 434], "tau0": 455, "tau1": 455, "technic": 271, "temp": 913, "templat": 464, "term": [4, 278, 282, 284, 287, 289, 290, 292, 301, 302, 305, 314, 315, 318, 325, 326, 329, 338, 339, 342, 352, 353, 357, 364, 365, 381, 433, 437, 438, 453, 914], "termin": [508, 525, 541, 690, 706, 795, 811, 907, 912, 913, 914], "test": [3, 86, 93, 95, 96, 97, 248, 249, 250, 251, 252, 272, 275, 276, 277, 278, 279, 280, 284, 286, 289, 290, 292, 295, 297, 299, 300, 301, 303, 305, 308, 310, 312, 313, 314, 316, 318, 320, 322, 323, 324, 325, 327, 329, 331, 333, 334, 335, 336, 337, 338, 340, 342, 345, 348, 350, 351, 352, 355, 357, 359, 361, 362, 363, 364, 366, 381, 402, 406, 409, 411, 412, 413, 419, 422, 425, 427, 428, 430, 823, 847, 872], "test_typ": [278, 288, 290, 433, 434], "texa": [433, 914], "text": [379, 398, 836, 871], "th": [510, 527, 543, 692, 708, 797, 813, 825, 826, 849, 854], "than": [3, 4, 10, 89, 95, 96, 251, 259, 270, 271, 275, 276, 280, 290, 437, 440, 441, 442, 446, 448, 451, 452, 458, 668, 907, 913, 914, 915], "thei": [89, 270, 271, 276, 437, 451, 913, 915, 917], "them": 911, "theme": 96, "theori": 284, "theta": [4, 287, 453, 722], "thi": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 15, 24, 25, 27, 29, 30, 39, 40, 42, 44, 45, 54, 55, 57, 59, 60, 69, 70, 72, 74, 75, 84, 85, 86, 87, 88, 89, 90, 94, 95, 96, 97, 248, 249, 250, 251, 252, 265, 270, 271, 272, 275, 279, 280, 290, 430, 432, 433, 434, 437, 438, 444, 445, 446, 447, 448, 455, 465, 475, 492, 510, 527, 543, 548, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 802, 813, 826, 854, 895, 907, 911, 912, 913, 914, 915], "third": 451, "those": [89, 270, 913, 915], "though": 467, "three": [4, 90, 95, 251, 262, 271, 402, 419, 434, 437, 510, 527, 543, 692, 708, 797, 813, 826, 854, 907, 913, 914], "through": [89, 275, 278, 433], "throughout": 271, "tibshirani": 1, "tild": 290, "time": [2, 3, 4, 10, 95, 271, 275, 276, 277, 278, 279, 280, 289, 290, 430, 432, 433, 434, 437, 510, 527, 543, 692, 708, 797, 813, 825, 826, 827, 849, 854, 855, 907, 911, 912, 914, 915, 917], "timedelta": 437, "timestamp": [273, 437, 508, 509, 510, 525, 526, 527, 541, 542, 543, 690, 691, 692, 706, 707, 708, 795, 796, 797, 811, 812, 813, 826, 827, 854, 855], "titl": [408, 424, 433, 434, 912, 913, 915], "tol": [508, 525, 541, 690, 706, 795, 811], "toler": [508, 525, 541, 690, 706, 795, 811], "toml": 95, "too": [95, 271], "toolbox": 248, "total": 86, "toward": 915, "tr": 290, "trace": 290, "track": 911, "tractabl": [437, 910], "trade": [271, 280, 833, 863], "tradit": 88, "transform": [438, 440, 441, 442, 444, 446, 448, 451, 452, 458, 469, 488, 508, 525, 541, 554, 571, 588, 605, 623, 640, 665, 670, 690, 706, 719, 744, 749, 774, 787, 795, 811, 882, 891, 907, 908, 914], "treat": [445, 911], "treatment": 3, "trend": [96, 275, 276, 277, 278, 279, 280, 282, 283, 284, 285, 286, 287, 288, 289, 290, 292, 302, 305, 315, 318, 326, 329, 339, 342, 353, 357, 365, 403, 420, 430, 433, 434], "trigger": 430, "trim": 280, "trivial": 802, "true": [3, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 95, 97, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 251, 252, 271, 279, 289, 367, 375, 381, 390, 394, 398, 415, 438, 440, 441, 442, 447, 451, 452, 453, 458, 505, 508, 522, 525, 538, 541, 660, 687, 690, 703, 706, 739, 769, 782, 792, 795, 808, 811, 877, 907, 908, 912, 914], "truncat": 446, "tsa": 434, "tukei": [111, 112, 113], "tune": 10, "tupl": [5, 6, 7, 8, 9, 12, 17, 18, 22, 23, 27, 32, 33, 37, 38, 39, 42, 47, 48, 52, 53, 54, 57, 62, 63, 67, 68, 72, 77, 78, 82, 83, 87, 273, 470, 473, 475, 479, 489, 491, 492, 496, 504, 506, 510, 521, 523, 527, 537, 539, 543, 555, 557, 558, 562, 572, 574, 575, 579, 589, 591, 592, 596, 606, 608, 609, 613, 624, 626, 627, 631, 641, 643, 644, 648, 656, 658, 667, 671, 673, 674, 678, 686, 688, 692, 702, 704, 708, 720, 722, 723, 727, 735, 737, 746, 750, 752, 753, 757, 765, 767, 776, 778, 780, 789, 791, 793, 797, 807, 809, 813, 826, 854, 873, 875, 884, 892, 894, 895, 899], "twice": 915, "two": [3, 4, 5, 6, 7, 8, 9, 10, 14, 29, 44, 59, 74, 87, 282, 287, 433, 434, 456, 908, 911, 912, 913, 914, 915], "type": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32, 34, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 53, 55, 56, 57, 58, 59, 60, 61, 62, 64, 68, 70, 71, 72, 73, 74, 75, 76, 77, 79, 83, 85, 86, 91, 95, 96, 98, 114, 115, 116, 117, 119, 120, 121, 122, 123, 124, 125, 126, 127, 129, 130, 131, 132, 133, 138, 139, 140, 141, 143, 144, 145, 146, 147, 148, 149, 150, 151, 153, 154, 155, 156, 157, 158, 159, 160, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 183, 184, 185, 186, 187, 188, 189, 190, 191, 193, 194, 195, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 223, 224, 225, 226, 227, 228, 229, 230, 231, 233, 234, 235, 236, 237, 238, 239, 240, 241, 243, 244, 245, 246, 247, 254, 255, 256, 259, 261, 262, 269, 281, 285, 289, 290, 293, 306, 319, 330, 337, 344, 358, 367, 375, 379, 381, 384, 390, 394, 398, 402, 408, 411, 415, 419, 424, 434, 437, 468, 469, 470, 475, 478, 481, 483, 485, 486, 487, 488, 489, 492, 495, 498, 500, 502, 503, 504, 508, 509, 510, 514, 515, 516, 517, 521, 525, 526, 527, 530, 531, 532, 533, 537, 541, 542, 543, 546, 547, 548, 549, 553, 554, 555, 558, 561, 564, 566, 568, 569, 570, 571, 572, 575, 578, 581, 583, 585, 586, 587, 588, 589, 592, 595, 598, 600, 602, 603, 604, 605, 606, 609, 612, 615, 618, 620, 621, 622, 623, 624, 627, 630, 633, 635, 637, 638, 639, 640, 641, 644, 647, 650, 652, 654, 655, 656, 657, 660, 661, 663, 664, 665, 667, 668, 669, 670, 671, 674, 677, 680, 682, 684, 685, 686, 690, 691, 692, 695, 696, 697, 698, 702, 706, 707, 708, 711, 712, 713, 714, 718, 719, 720, 723, 726, 729, 731, 733, 734, 735, 736, 739, 740, 742, 743, 744, 746, 747, 748, 749, 750, 753, 756, 759, 761, 763, 764, 765, 766, 769, 770, 772, 773, 774, 776, 777, 778, 779, 782, 783, 785, 786, 787, 789, 790, 791, 795, 796, 797, 800, 801, 802, 803, 807, 811, 812, 813, 816, 817, 819, 823, 825, 826, 827, 833, 836, 839, 847, 849, 850, 854, 855, 860, 863, 871, 873, 874, 878, 880, 881, 882, 884, 885, 890, 891, 892, 895, 898, 901, 903, 905, 906, 907, 913, 915, 916], "typevar": 273, "typing_extens": 95, "typo": 94, "typograph": 93, "u": [3, 4, 290, 433], "u_t": 290, "uint32": [17, 21, 22, 23, 32, 36, 37, 38, 47, 51, 52, 53, 62, 66, 67, 68, 77, 81, 82, 83, 258, 264, 268, 273], "uint32arrai": 273, "ultim": 89, "unadjust": [367, 381, 415], "under": [90, 290, 403, 420, 433], "underli": [433, 914], "unequ": 7, "uneven": 95, "uniform": 6, "uniformli": 915, "uniqu": 913, "unit": [3, 93, 95, 97, 248, 275, 276, 277, 278, 280, 289, 290, 299, 312, 323, 335, 350, 362, 430, 433, 447, 769, 782, 912, 914, 915], "unit_scal": [447, 912], "unit_var_resid": 914, "unitroot": [430, 433, 434], "unitroottrend": 273, "univarait": 910, "univari": [92, 95, 97, 248, 280, 433, 907, 908, 911, 912, 914, 915], "univers": [1, 3, 275, 278, 279], "unlik": 278, "unstandard": 914, "until": [97, 437, 912], "up": [11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 280, 434, 437, 450, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 913, 915], "updat": [24, 39, 54, 69, 84, 94, 95, 97, 275, 440, 465, 486, 503, 508, 525, 541, 569, 586, 603, 621, 638, 655, 685, 690, 706, 734, 764, 795, 811, 906, 908], "update_freq": [441, 508, 525, 541, 690, 706, 795, 811, 833, 863, 913, 914], "upper": [3, 4, 14, 29, 44, 59, 74, 251, 259, 261, 262, 271, 275, 470, 472, 475, 483, 485, 489, 490, 492, 500, 502, 555, 556, 558, 566, 568, 572, 573, 575, 583, 585, 589, 590, 592, 600, 602, 606, 607, 609, 618, 620, 624, 625, 627, 635, 637, 641, 642, 644, 652, 654, 656, 664, 671, 672, 674, 682, 684, 720, 721, 723, 731, 733, 735, 743, 750, 751, 753, 761, 763, 765, 773, 778, 786, 873, 881, 892, 893, 895, 903, 905], "us": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19, 20, 21, 23, 25, 26, 27, 28, 29, 30, 31, 34, 35, 36, 38, 40, 41, 42, 43, 44, 45, 46, 49, 50, 51, 53, 55, 56, 57, 58, 59, 60, 61, 64, 65, 66, 68, 70, 71, 72, 73, 74, 75, 76, 79, 80, 81, 83, 85, 87, 88, 90, 91, 92, 95, 96, 97, 98, 101, 102, 103, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 119, 120, 123, 124, 125, 129, 130, 133, 138, 139, 143, 144, 147, 148, 149, 153, 154, 157, 158, 159, 163, 164, 167, 168, 169, 173, 174, 177, 178, 179, 183, 184, 187, 188, 189, 193, 194, 197, 198, 199, 203, 204, 207, 208, 209, 213, 214, 217, 218, 219, 223, 224, 227, 228, 229, 233, 234, 237, 238, 239, 243, 244, 247, 248, 249, 250, 251, 252, 258, 259, 261, 264, 265, 268, 270, 271, 275, 276, 277, 278, 279, 280, 281, 282, 284, 285, 286, 287, 289, 290, 293, 294, 295, 301, 303, 306, 307, 308, 314, 316, 319, 320, 325, 327, 330, 331, 334, 338, 340, 343, 344, 345, 347, 349, 352, 355, 358, 359, 364, 366, 367, 368, 370, 371, 381, 382, 384, 387, 390, 404, 405, 414, 415, 417, 429, 430, 433, 434, 437, 438, 440, 441, 442, 446, 447, 448, 449, 450, 451, 452, 454, 456, 457, 458, 460, 463, 465, 466, 468, 472, 473, 475, 479, 480, 481, 482, 483, 485, 487, 490, 491, 492, 496, 497, 498, 499, 500, 502, 504, 505, 506, 508, 509, 510, 515, 516, 521, 522, 523, 525, 526, 527, 531, 532, 537, 538, 539, 541, 542, 543, 547, 548, 553, 556, 557, 558, 562, 563, 564, 565, 566, 568, 570, 573, 574, 575, 579, 580, 581, 582, 583, 585, 587, 590, 591, 592, 596, 597, 598, 599, 600, 602, 604, 607, 608, 609, 613, 614, 615, 616, 618, 620, 622, 625, 626, 627, 631, 632, 633, 634, 635, 637, 639, 642, 643, 644, 648, 649, 650, 651, 652, 654, 656, 657, 658, 660, 661, 664, 665, 666, 668, 669, 672, 673, 674, 678, 679, 680, 681, 682, 684, 686, 687, 688, 690, 691, 692, 696, 697, 702, 703, 704, 706, 707, 708, 712, 713, 718, 721, 723, 727, 728, 729, 730, 731, 733, 735, 736, 737, 739, 740, 743, 744, 745, 747, 751, 752, 753, 757, 758, 759, 760, 761, 763, 765, 766, 767, 769, 770, 773, 774, 775, 777, 778, 779, 780, 782, 783, 786, 787, 788, 790, 791, 792, 793, 795, 796, 797, 801, 802, 807, 808, 809, 811, 812, 813, 817, 825, 826, 827, 829, 830, 833, 839, 843, 849, 850, 852, 853, 854, 855, 857, 858, 863, 873, 874, 875, 878, 881, 882, 883, 885, 889, 890, 893, 894, 895, 899, 900, 901, 902, 903, 905, 907, 909, 910, 913, 914, 915, 917], "usag": 917, "use_rot": 451, "use_se": [20, 35, 50, 65, 80], "user": [0, 89, 94, 95, 114, 124, 138, 148, 158, 168, 178, 188, 198, 208, 218, 228, 238, 438, 469, 488, 509, 526, 542, 554, 571, 588, 605, 623, 640, 670, 691, 707, 719, 749, 796, 812, 891, 914], "usign": 96, "usual": [4, 270, 271, 434, 446, 448, 833, 863, 914, 915], "util": 910, "v4": 248, "vale": 911, "valid": [302, 315, 326, 337, 339, 353, 365, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854], "valid_trend": [301, 314, 325, 338, 352, 364], "valu": [3, 5, 6, 8, 9, 10, 11, 13, 14, 21, 23, 26, 28, 29, 36, 38, 41, 43, 44, 51, 53, 56, 58, 59, 66, 68, 71, 73, 74, 81, 83, 89, 94, 95, 97, 115, 119, 125, 129, 139, 143, 149, 153, 159, 163, 169, 173, 179, 183, 189, 193, 199, 203, 209, 213, 219, 223, 229, 233, 239, 243, 250, 251, 252, 256, 258, 259, 261, 262, 264, 265, 268, 270, 271, 275, 276, 277, 278, 279, 284, 286, 289, 290, 292, 297, 300, 305, 310, 313, 318, 322, 324, 329, 333, 336, 337, 342, 348, 351, 357, 361, 363, 373, 392, 402, 409, 411, 413, 419, 425, 428, 430, 433, 434, 437, 438, 440, 441, 450, 451, 460, 462, 463, 465, 468, 469, 471, 472, 473, 474, 475, 479, 481, 483, 485, 487, 488, 490, 491, 492, 496, 498, 500, 502, 505, 508, 510, 515, 516, 517, 519, 522, 525, 527, 531, 532, 533, 535, 538, 541, 543, 547, 548, 549, 551, 553, 554, 556, 557, 558, 562, 564, 566, 568, 570, 571, 573, 574, 575, 579, 581, 583, 585, 587, 588, 590, 591, 592, 596, 598, 600, 602, 604, 605, 607, 608, 609, 613, 615, 618, 620, 622, 623, 625, 626, 627, 631, 633, 635, 637, 639, 640, 642, 643, 644, 648, 650, 652, 654, 657, 658, 665, 668, 669, 670, 672, 673, 674, 678, 680, 682, 684, 687, 690, 692, 696, 697, 698, 700, 703, 706, 708, 712, 713, 714, 716, 718, 719, 721, 723, 727, 729, 731, 733, 736, 737, 744, 747, 748, 749, 751, 752, 753, 757, 759, 761, 763, 766, 767, 774, 777, 779, 780, 787, 790, 792, 795, 797, 801, 802, 803, 805, 808, 811, 813, 817, 819, 825, 826, 833, 837, 838, 840, 843, 845, 849, 854, 863, 864, 874, 875, 882, 885, 890, 891, 893, 894, 895, 899, 901, 903, 905, 907, 910, 912, 914, 915, 916], "valuabl": 437, "value_at_risk": 913, "valueerror": [475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895, 913], "valuer": [668, 777, 790], "var": [3, 14, 15, 29, 30, 44, 45, 59, 60, 74, 75, 87, 88, 290, 440, 511], "var_": 913, "var_2016": 913, "var_bound": [472, 475, 483, 485, 490, 492, 500, 502, 556, 558, 566, 568, 573, 575, 583, 585, 590, 592, 600, 602, 607, 609, 618, 620, 625, 627, 635, 637, 642, 644, 652, 654, 672, 674, 682, 684, 721, 723, 731, 733, 751, 753, 761, 763, 893, 895, 903, 905], "varanelli": 95, "vari": [430, 917], "variabl": [3, 5, 6, 7, 8, 9, 86, 95, 96, 97, 271, 278, 282, 284, 287, 289, 290, 430, 433, 434, 440, 441, 442, 451, 452, 458, 460, 463, 478, 495, 510, 514, 516, 520, 527, 530, 532, 536, 543, 546, 552, 561, 578, 595, 612, 630, 647, 677, 692, 695, 697, 701, 708, 711, 713, 717, 726, 756, 797, 800, 806, 813, 816, 821, 826, 854, 898, 907, 910, 912, 914, 915], "varianc": [3, 15, 25, 30, 40, 45, 55, 60, 70, 75, 85, 89, 93, 95, 123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247, 251, 252, 278, 279, 290, 293, 306, 319, 330, 343, 344, 347, 349, 354, 358, 371, 375, 381, 390, 394, 432, 433, 437, 438, 439, 440, 443, 444, 445, 446, 447, 448, 450, 453, 455, 461, 462, 463, 466, 467, 472, 475, 479, 480, 482, 483, 485, 490, 492, 496, 497, 499, 500, 502, 508, 510, 511, 525, 527, 541, 543, 556, 558, 562, 563, 565, 566, 568, 573, 575, 579, 580, 582, 583, 585, 590, 592, 596, 597, 599, 600, 602, 607, 609, 613, 614, 616, 618, 620, 625, 627, 631, 632, 634, 635, 637, 642, 644, 648, 649, 651, 652, 654, 660, 672, 674, 678, 679, 681, 682, 684, 690, 692, 706, 708, 721, 723, 727, 728, 730, 731, 733, 739, 751, 753, 757, 758, 760, 761, 763, 769, 782, 795, 797, 811, 813, 825, 826, 827, 833, 838, 842, 849, 854, 855, 863, 877, 887, 888, 889, 893, 895, 899, 900, 902, 903, 905, 908, 910, 911, 913, 914, 915], "varianceforecast": [475, 492, 558, 575, 592, 609, 627, 644, 674, 723, 753, 895], "varianceratio": [95, 432, 434], "variat": 911, "varieti": [3, 90], "variou": 271, "vcv": 4, "vdot": 911, "vector": [4, 14, 29, 44, 59, 74, 89, 95, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 282, 284, 287, 290, 367, 369, 372, 373, 378, 380, 381, 383, 391, 392, 397, 398, 399, 401, 415, 418, 432, 433, 440, 441, 442, 451, 452, 458, 468, 470, 472, 479, 487, 489, 490, 496, 510, 527, 543, 553, 555, 556, 562, 570, 572, 573, 579, 587, 589, 590, 596, 604, 606, 607, 613, 622, 624, 625, 631, 639, 641, 642, 648, 660, 669, 671, 672, 678, 692, 708, 718, 720, 721, 727, 739, 748, 750, 751, 757, 769, 782, 797, 813, 826, 854, 877, 890, 892, 893, 899], "vendor": 95, "veri": [95, 275, 433, 913], "verifi": [433, 451], "version": [4, 5, 6, 8, 9, 11, 14, 26, 29, 41, 44, 56, 59, 71, 74, 89, 248, 270, 279, 434, 449, 454, 456, 457, 510, 527, 543, 666, 692, 708, 745, 775, 788, 797, 813, 826, 854, 883, 914], "versu": 434, "via": 92, "violat": [271, 913], "virtual": [437, 915], "visual": 914, "vix": 912, "vix_data": 912, "vol": [1, 437, 440, 510, 511, 527, 543, 664, 692, 708, 743, 773, 786, 797, 813, 827, 855, 881, 907, 911, 912, 913, 914, 915], "vol_mod": 912, "vol_r": 912, "volatil": [94, 95, 97, 248, 438, 440, 441, 442, 443, 447, 451, 452, 453, 458, 459, 460, 463, 465, 468, 475, 476, 479, 484, 486, 487, 492, 493, 496, 501, 503, 509, 510, 516, 526, 527, 532, 542, 543, 548, 553, 558, 559, 562, 567, 569, 570, 575, 576, 579, 584, 586, 587, 592, 593, 596, 601, 603, 604, 609, 610, 613, 619, 621, 622, 627, 628, 631, 636, 638, 639, 644, 645, 648, 653, 655, 669, 674, 675, 678, 683, 685, 691, 692, 697, 707, 708, 713, 718, 723, 724, 727, 732, 734, 753, 754, 757, 762, 764, 796, 797, 802, 812, 813, 825, 826, 827, 833, 835, 849, 854, 855, 863, 870, 907, 908, 911], "volatility_updat": 96, "volatilityprocess": [96, 440, 441, 442, 451, 452, 458, 459, 518, 534, 550, 699, 715, 804, 820, 917], "volatilityupdat": [96, 486, 503, 569, 586, 603, 621, 638, 655, 685, 734, 764, 906, 917], "volatilti": 95, "vr": [279, 434], "vstack": 4, "w": [101, 106, 107, 108, 109, 110, 111, 112, 113, 275, 277, 278, 279, 280, 284, 833, 863], "wa": [5, 6, 7, 8, 9, 94, 95, 96, 97, 434, 460, 463, 510, 527, 543, 692, 708, 797, 813, 911], "wai": [5, 6, 7, 8, 9, 914], "wald": 916, "waldteststatist": [823, 847, 916], "walk": [279, 434], "want": [911, 915], "warn": [92, 95, 97, 434, 508, 510, 525, 527, 541, 543, 690, 692, 706, 708, 795, 797, 811, 813, 826, 854, 911], "watson": [284, 434], "we": [3, 290, 433, 434, 911, 912, 913, 914], "weakli": [277, 430, 433, 434], "web": [4, 87, 88, 430, 437, 907], "websit": [3, 86], "weekli": [833, 863], "weight": [95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244, 445, 446, 455, 912, 914], "well": [4, 271, 434, 914, 915, 916], "were": [277, 510, 527, 543, 692, 708, 797, 813, 826, 854, 911, 915], "west": [101, 277, 278, 281, 290, 334, 367, 381, 415, 433, 434, 914], "what": [1, 915], "wheel": 96, "when": [1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 24, 25, 26, 27, 29, 30, 39, 40, 41, 42, 44, 45, 54, 55, 56, 57, 59, 60, 69, 70, 71, 72, 74, 75, 84, 85, 87, 89, 95, 96, 97, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 250, 251, 252, 259, 261, 265, 271, 275, 276, 278, 280, 284, 289, 290, 293, 294, 295, 306, 307, 308, 319, 320, 330, 331, 344, 345, 358, 359, 381, 433, 434, 437, 440, 441, 442, 445, 446, 447, 451, 452, 456, 458, 463, 465, 472, 475, 479, 481, 483, 490, 492, 496, 498, 500, 508, 509, 510, 515, 516, 525, 526, 527, 531, 532, 541, 542, 543, 547, 548, 556, 558, 562, 564, 566, 573, 575, 579, 581, 583, 590, 592, 596, 598, 600, 607, 609, 613, 615, 618, 625, 627, 631, 633, 635, 642, 644, 648, 650, 652, 656, 672, 674, 678, 680, 682, 690, 691, 692, 696, 697, 706, 707, 708, 712, 713, 721, 723, 727, 729, 731, 735, 751, 753, 757, 759, 761, 765, 778, 795, 796, 797, 801, 802, 811, 812, 813, 817, 826, 827, 833, 850, 854, 855, 863, 873, 893, 895, 899, 901, 903, 907, 909, 910, 911, 912, 913, 914, 915], "whenev": [437, 913], "where": [4, 7, 10, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 86, 87, 88, 95, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246, 256, 270, 271, 282, 284, 287, 289, 290, 367, 375, 381, 390, 394, 415, 433, 437, 440, 444, 446, 448, 450, 451, 453, 455, 459, 470, 489, 510, 516, 527, 532, 543, 555, 572, 589, 606, 624, 641, 660, 671, 692, 697, 708, 713, 720, 750, 769, 782, 797, 813, 826, 850, 854, 877, 892, 911, 912, 913, 914, 915], "whether": [14, 15, 20, 25, 29, 30, 35, 40, 44, 45, 50, 55, 59, 60, 65, 70, 74, 75, 80, 85, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 116, 118, 126, 128, 140, 142, 150, 152, 160, 162, 170, 172, 180, 182, 190, 192, 200, 202, 210, 212, 220, 222, 230, 232, 240, 242, 270, 271, 275, 278, 279, 285, 290, 367, 381, 398, 415, 430, 432, 434, 440, 441, 442, 447, 451, 452, 453, 458, 460, 463, 505, 508, 510, 522, 525, 527, 538, 541, 543, 660, 687, 690, 692, 703, 706, 708, 739, 769, 782, 792, 795, 797, 808, 811, 813, 826, 854, 877, 907, 914], "which": [1, 3, 4, 10, 89, 90, 92, 94, 95, 259, 265, 270, 271, 272, 279, 281, 430, 434, 437, 446, 448, 450, 465, 508, 510, 525, 527, 541, 543, 657, 668, 690, 692, 706, 708, 736, 766, 779, 795, 797, 811, 813, 825, 826, 833, 849, 854, 863, 874, 911, 912, 913, 914, 915], "while": [4, 270, 271, 272, 279, 433, 437, 907, 911, 913, 915], "white": [10, 249, 251, 270, 290, 367, 381, 415, 434, 912, 914], "wilei": 1, "window": [3, 10, 94, 250, 251, 252], "winkler": [664, 743, 773, 786, 881], "wisc": 456, "wise": 252, "wish": 911, "within": [3, 289, 290], "without": [8, 14, 29, 44, 59, 74, 89, 440, 441, 442, 451, 452, 458, 907, 911], "wolf": [1, 249, 252, 270], "wooldridg": [508, 525, 541, 690, 706, 795, 811], "work": [271, 275, 278, 434], "wors": [251, 259, 270, 271], "would": [96, 271, 911, 915], "wpaper": [275, 278], "wrap": [5, 8, 9, 10, 90], "wrapper": [89, 270], "write": [96, 465, 913], "written": [3, 95, 465], "wrong": 95, "wti": 433, "www": 456, "x": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 25, 26, 27, 29, 30, 40, 41, 42, 44, 45, 55, 56, 57, 59, 60, 70, 71, 72, 74, 75, 85, 87, 89, 95, 100, 101, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 271, 282, 284, 287, 289, 290, 440, 441, 451, 452, 510, 516, 527, 532, 543, 548, 660, 664, 692, 697, 708, 713, 739, 743, 769, 773, 782, 786, 797, 802, 813, 818, 826, 854, 881, 907, 913, 915], "x0": 911, "x0_oo": 911, "x0_sim": 911, "x0f": 911, "x1": 911, "x1_oo": 911, "x1_sim": 911, "x1f": 911, "x_": [10, 95, 284, 911], "x_0": 911, "x_1": 911, "x_k": 10, "x_mod": 911, "x_orig": 89, "x_param": [516, 532, 697, 713], "x_t": [282, 284, 287, 289, 290, 433, 440, 441, 451, 452], "x_trend": [282, 287], "xi_": 290, "xi_t": 290, "xl": [433, 913], "xlim": [914, 915], "xsection": [286, 288], "xstar": 87, "y": [3, 4, 5, 6, 7, 8, 9, 11, 14, 15, 25, 26, 29, 30, 40, 41, 44, 45, 55, 56, 59, 60, 70, 71, 74, 75, 85, 87, 89, 271, 275, 276, 277, 278, 279, 280, 281, 282, 284, 287, 289, 290, 434, 440, 441, 442, 451, 452, 458, 459, 510, 515, 527, 531, 543, 547, 692, 696, 708, 712, 797, 801, 813, 817, 826, 854, 868, 907, 911], "y_": [411, 433, 440, 441, 911], "y_star": 89, "y_t": [282, 284, 287, 289, 290, 411, 433, 440, 441, 442, 451, 452, 458, 911], "yahoo": [4, 87, 88, 907, 913, 914], "year": [437, 833, 863], "yield": [430, 434, 907], "you": [5, 6, 7, 8, 9, 911, 915], "ystar": [87, 89], "z": [5, 6, 7, 8, 9, 87, 96, 101, 103, 106, 107, 108, 109, 110, 111, 112, 113, 276, 290, 381, 434, 664, 743, 773, 786, 881], "z_": [4, 290, 433], "z_1": 290, "z_t": [287, 289, 290, 381, 433], "z_tz": 287, "za": [288, 290, 433, 434], "zag": [95, 917], "zandrew": 280, "zenodo": 248, "zero": [95, 271, 279, 433, 458, 472, 490, 556, 573, 590, 607, 625, 642, 672, 721, 751, 802, 893, 907, 911, 912, 914], "zeromean": [95, 911, 912, 914], "zig": [95, 917], "zivot": [95, 280, 432], "zivotandrew": [95, 432, 434], "zm": [458, 802], "zstar": 87, "zt": [290, 433], "zz": [290, 381], "z\u03b1": 290, "\u03b3": 433, "\u03c1": 433}, "titles": ["API Reference", "References", "Bootstrapping", "Bootstrap Examples", "Confidence Intervals", "arch.bootstrap.CircularBlockBootstrap", "arch.bootstrap.IIDBootstrap", "arch.bootstrap.IndependentSamplesBootstrap", "arch.bootstrap.MovingBlockBootstrap", "arch.bootstrap.StationaryBootstrap", "arch.bootstrap.optimal_block_length", "arch.bootstrap.CircularBlockBootstrap.apply", "arch.bootstrap.CircularBlockBootstrap.bootstrap", "arch.bootstrap.CircularBlockBootstrap.clone", "arch.bootstrap.CircularBlockBootstrap.conf_int", "arch.bootstrap.CircularBlockBootstrap.cov", "arch.bootstrap.CircularBlockBootstrap.generator", "arch.bootstrap.CircularBlockBootstrap.get_state", "arch.bootstrap.CircularBlockBootstrap.index", "arch.bootstrap.CircularBlockBootstrap.random_state", "arch.bootstrap.CircularBlockBootstrap.reset", "arch.bootstrap.CircularBlockBootstrap.seed", "arch.bootstrap.CircularBlockBootstrap.set_state", "arch.bootstrap.CircularBlockBootstrap.state", "arch.bootstrap.CircularBlockBootstrap.update_indices", "arch.bootstrap.CircularBlockBootstrap.var", "arch.bootstrap.IIDBootstrap.apply", "arch.bootstrap.IIDBootstrap.bootstrap", "arch.bootstrap.IIDBootstrap.clone", "arch.bootstrap.IIDBootstrap.conf_int", "arch.bootstrap.IIDBootstrap.cov", "arch.bootstrap.IIDBootstrap.generator", "arch.bootstrap.IIDBootstrap.get_state", "arch.bootstrap.IIDBootstrap.index", "arch.bootstrap.IIDBootstrap.random_state", "arch.bootstrap.IIDBootstrap.reset", "arch.bootstrap.IIDBootstrap.seed", "arch.bootstrap.IIDBootstrap.set_state", "arch.bootstrap.IIDBootstrap.state", "arch.bootstrap.IIDBootstrap.update_indices", "arch.bootstrap.IIDBootstrap.var", "arch.bootstrap.IndependentSamplesBootstrap.apply", "arch.bootstrap.IndependentSamplesBootstrap.bootstrap", "arch.bootstrap.IndependentSamplesBootstrap.clone", "arch.bootstrap.IndependentSamplesBootstrap.conf_int", "arch.bootstrap.IndependentSamplesBootstrap.cov", "arch.bootstrap.IndependentSamplesBootstrap.generator", "arch.bootstrap.IndependentSamplesBootstrap.get_state", "arch.bootstrap.IndependentSamplesBootstrap.index", "arch.bootstrap.IndependentSamplesBootstrap.random_state", "arch.bootstrap.IndependentSamplesBootstrap.reset", "arch.bootstrap.IndependentSamplesBootstrap.seed", "arch.bootstrap.IndependentSamplesBootstrap.set_state", "arch.bootstrap.IndependentSamplesBootstrap.state", "arch.bootstrap.IndependentSamplesBootstrap.update_indices", "arch.bootstrap.IndependentSamplesBootstrap.var", "arch.bootstrap.MovingBlockBootstrap.apply", "arch.bootstrap.MovingBlockBootstrap.bootstrap", "arch.bootstrap.MovingBlockBootstrap.clone", "arch.bootstrap.MovingBlockBootstrap.conf_int", "arch.bootstrap.MovingBlockBootstrap.cov", "arch.bootstrap.MovingBlockBootstrap.generator", "arch.bootstrap.MovingBlockBootstrap.get_state", "arch.bootstrap.MovingBlockBootstrap.index", "arch.bootstrap.MovingBlockBootstrap.random_state", "arch.bootstrap.MovingBlockBootstrap.reset", "arch.bootstrap.MovingBlockBootstrap.seed", "arch.bootstrap.MovingBlockBootstrap.set_state", "arch.bootstrap.MovingBlockBootstrap.state", "arch.bootstrap.MovingBlockBootstrap.update_indices", "arch.bootstrap.MovingBlockBootstrap.var", "arch.bootstrap.StationaryBootstrap.apply", "arch.bootstrap.StationaryBootstrap.bootstrap", "arch.bootstrap.StationaryBootstrap.clone", "arch.bootstrap.StationaryBootstrap.conf_int", "arch.bootstrap.StationaryBootstrap.cov", "arch.bootstrap.StationaryBootstrap.generator", "arch.bootstrap.StationaryBootstrap.get_state", "arch.bootstrap.StationaryBootstrap.index", "arch.bootstrap.StationaryBootstrap.random_state", "arch.bootstrap.StationaryBootstrap.reset", "arch.bootstrap.StationaryBootstrap.seed", "arch.bootstrap.StationaryBootstrap.set_state", "arch.bootstrap.StationaryBootstrap.state", "arch.bootstrap.StationaryBootstrap.update_indices", "arch.bootstrap.StationaryBootstrap.var", "Independent, Identical Distributed Data (i.i.d.)", "Low-level Interfaces", "Covariance Estimation", "Semiparametric Bootstraps", "Time-series Bootstraps", "Change Logs", "Version 1", "Version 2", "Version 3", "Version 4", "Version 5", "Version 6", "Version 7", "Long-run Covariance Estimation", "arch.covariance.kernel.Andrews", "arch.covariance.kernel.Bartlett", "arch.covariance.kernel.CovarianceEstimate", "arch.covariance.kernel.CovarianceEstimator", "arch.covariance.kernel.Gallant", "arch.covariance.kernel.NeweyWest", "arch.covariance.kernel.Parzen", "arch.covariance.kernel.ParzenCauchy", "arch.covariance.kernel.ParzenGeometric", "arch.covariance.kernel.ParzenRiesz", "arch.covariance.kernel.QuadraticSpectral", "arch.covariance.kernel.TukeyHamming", "arch.covariance.kernel.TukeyHanning", "arch.covariance.kernel.TukeyParzen", "arch.covariance.kernel.Andrews.bandwidth", "arch.covariance.kernel.Andrews.bandwidth_scale", "arch.covariance.kernel.Andrews.centered", "arch.covariance.kernel.Andrews.cov", "arch.covariance.kernel.Andrews.force_int", "arch.covariance.kernel.Andrews.kernel_const", "arch.covariance.kernel.Andrews.kernel_weights", "arch.covariance.kernel.Andrews.name", "arch.covariance.kernel.Andrews.opt_bandwidth", "arch.covariance.kernel.Andrews.rate", "arch.covariance.kernel.Bartlett.bandwidth", "arch.covariance.kernel.Bartlett.bandwidth_scale", "arch.covariance.kernel.Bartlett.centered", "arch.covariance.kernel.Bartlett.cov", "arch.covariance.kernel.Bartlett.force_int", "arch.covariance.kernel.Bartlett.kernel_const", "arch.covariance.kernel.Bartlett.kernel_weights", "arch.covariance.kernel.Bartlett.name", "arch.covariance.kernel.Bartlett.opt_bandwidth", "arch.covariance.kernel.Bartlett.rate", "arch.covariance.kernel.CovarianceEstimate.long_run", "arch.covariance.kernel.CovarianceEstimate.one_sided", "arch.covariance.kernel.CovarianceEstimate.one_sided_strict", "arch.covariance.kernel.CovarianceEstimate.short_run", "arch.covariance.kernel.CovarianceEstimator.bandwidth", "arch.covariance.kernel.CovarianceEstimator.bandwidth_scale", "arch.covariance.kernel.CovarianceEstimator.centered", "arch.covariance.kernel.CovarianceEstimator.cov", "arch.covariance.kernel.CovarianceEstimator.force_int", "arch.covariance.kernel.CovarianceEstimator.kernel_const", "arch.covariance.kernel.CovarianceEstimator.kernel_weights", "arch.covariance.kernel.CovarianceEstimator.name", "arch.covariance.kernel.CovarianceEstimator.opt_bandwidth", "arch.covariance.kernel.CovarianceEstimator.rate", "arch.covariance.kernel.Gallant.bandwidth", "arch.covariance.kernel.Gallant.bandwidth_scale", "arch.covariance.kernel.Gallant.centered", "arch.covariance.kernel.Gallant.cov", "arch.covariance.kernel.Gallant.force_int", "arch.covariance.kernel.Gallant.kernel_const", "arch.covariance.kernel.Gallant.kernel_weights", "arch.covariance.kernel.Gallant.name", "arch.covariance.kernel.Gallant.opt_bandwidth", "arch.covariance.kernel.Gallant.rate", "arch.covariance.kernel.NeweyWest.bandwidth", "arch.covariance.kernel.NeweyWest.bandwidth_scale", "arch.covariance.kernel.NeweyWest.centered", "arch.covariance.kernel.NeweyWest.cov", "arch.covariance.kernel.NeweyWest.force_int", "arch.covariance.kernel.NeweyWest.kernel_const", "arch.covariance.kernel.NeweyWest.kernel_weights", "arch.covariance.kernel.NeweyWest.name", "arch.covariance.kernel.NeweyWest.opt_bandwidth", "arch.covariance.kernel.NeweyWest.rate", "arch.covariance.kernel.Parzen.bandwidth", "arch.covariance.kernel.Parzen.bandwidth_scale", "arch.covariance.kernel.Parzen.centered", "arch.covariance.kernel.Parzen.cov", "arch.covariance.kernel.Parzen.force_int", "arch.covariance.kernel.Parzen.kernel_const", "arch.covariance.kernel.Parzen.kernel_weights", "arch.covariance.kernel.Parzen.name", "arch.covariance.kernel.Parzen.opt_bandwidth", "arch.covariance.kernel.Parzen.rate", "arch.covariance.kernel.ParzenCauchy.bandwidth", "arch.covariance.kernel.ParzenCauchy.bandwidth_scale", "arch.covariance.kernel.ParzenCauchy.centered", "arch.covariance.kernel.ParzenCauchy.cov", "arch.covariance.kernel.ParzenCauchy.force_int", "arch.covariance.kernel.ParzenCauchy.kernel_const", "arch.covariance.kernel.ParzenCauchy.kernel_weights", "arch.covariance.kernel.ParzenCauchy.name", "arch.covariance.kernel.ParzenCauchy.opt_bandwidth", "arch.covariance.kernel.ParzenCauchy.rate", "arch.covariance.kernel.ParzenGeometric.bandwidth", "arch.covariance.kernel.ParzenGeometric.bandwidth_scale", "arch.covariance.kernel.ParzenGeometric.centered", "arch.covariance.kernel.ParzenGeometric.cov", "arch.covariance.kernel.ParzenGeometric.force_int", "arch.covariance.kernel.ParzenGeometric.kernel_const", "arch.covariance.kernel.ParzenGeometric.kernel_weights", "arch.covariance.kernel.ParzenGeometric.name", "arch.covariance.kernel.ParzenGeometric.opt_bandwidth", "arch.covariance.kernel.ParzenGeometric.rate", "arch.covariance.kernel.ParzenRiesz.bandwidth", "arch.covariance.kernel.ParzenRiesz.bandwidth_scale", "arch.covariance.kernel.ParzenRiesz.centered", "arch.covariance.kernel.ParzenRiesz.cov", "arch.covariance.kernel.ParzenRiesz.force_int", "arch.covariance.kernel.ParzenRiesz.kernel_const", "arch.covariance.kernel.ParzenRiesz.kernel_weights", "arch.covariance.kernel.ParzenRiesz.name", "arch.covariance.kernel.ParzenRiesz.opt_bandwidth", "arch.covariance.kernel.ParzenRiesz.rate", "arch.covariance.kernel.QuadraticSpectral.bandwidth", "arch.covariance.kernel.QuadraticSpectral.bandwidth_scale", "arch.covariance.kernel.QuadraticSpectral.centered", "arch.covariance.kernel.QuadraticSpectral.cov", "arch.covariance.kernel.QuadraticSpectral.force_int", "arch.covariance.kernel.QuadraticSpectral.kernel_const", "arch.covariance.kernel.QuadraticSpectral.kernel_weights", "arch.covariance.kernel.QuadraticSpectral.name", "arch.covariance.kernel.QuadraticSpectral.opt_bandwidth", "arch.covariance.kernel.QuadraticSpectral.rate", "arch.covariance.kernel.TukeyHamming.bandwidth", "arch.covariance.kernel.TukeyHamming.bandwidth_scale", "arch.covariance.kernel.TukeyHamming.centered", "arch.covariance.kernel.TukeyHamming.cov", "arch.covariance.kernel.TukeyHamming.force_int", "arch.covariance.kernel.TukeyHamming.kernel_const", "arch.covariance.kernel.TukeyHamming.kernel_weights", "arch.covariance.kernel.TukeyHamming.name", "arch.covariance.kernel.TukeyHamming.opt_bandwidth", "arch.covariance.kernel.TukeyHamming.rate", "arch.covariance.kernel.TukeyHanning.bandwidth", "arch.covariance.kernel.TukeyHanning.bandwidth_scale", "arch.covariance.kernel.TukeyHanning.centered", "arch.covariance.kernel.TukeyHanning.cov", "arch.covariance.kernel.TukeyHanning.force_int", "arch.covariance.kernel.TukeyHanning.kernel_const", "arch.covariance.kernel.TukeyHanning.kernel_weights", "arch.covariance.kernel.TukeyHanning.name", "arch.covariance.kernel.TukeyHanning.opt_bandwidth", "arch.covariance.kernel.TukeyHanning.rate", "arch.covariance.kernel.TukeyParzen.bandwidth", "arch.covariance.kernel.TukeyParzen.bandwidth_scale", "arch.covariance.kernel.TukeyParzen.centered", "arch.covariance.kernel.TukeyParzen.cov", "arch.covariance.kernel.TukeyParzen.force_int", "arch.covariance.kernel.TukeyParzen.kernel_const", "arch.covariance.kernel.TukeyParzen.kernel_weights", "arch.covariance.kernel.TukeyParzen.name", "arch.covariance.kernel.TukeyParzen.opt_bandwidth", "arch.covariance.kernel.TukeyParzen.rate", "Introduction", "References", "arch.bootstrap.MCS", "arch.bootstrap.SPA", "arch.bootstrap.StepM", "arch.bootstrap.MCS.compute", "arch.bootstrap.MCS.excluded", "arch.bootstrap.MCS.included", "arch.bootstrap.MCS.pvalues", "arch.bootstrap.MCS.reset", "arch.bootstrap.MCS.seed", "arch.bootstrap.SPA.better_models", "arch.bootstrap.SPA.compute", "arch.bootstrap.SPA.critical_values", "arch.bootstrap.SPA.pvalues", "arch.bootstrap.SPA.reset", "arch.bootstrap.SPA.seed", "arch.bootstrap.SPA.subset", "arch.bootstrap.StepM.compute", "arch.bootstrap.StepM.reset", "arch.bootstrap.StepM.seed", "arch.bootstrap.StepM.superior_models", "Module Reference", "Multiple Comparisons", "Multiple Comparison Procedures", "Common Type Definitions", "Cointegration Tests", "arch.unitroot.ADF", "arch.unitroot.DFGLS", "arch.unitroot.KPSS", "arch.unitroot.PhillipsPerron", "arch.unitroot.VarianceRatio", "arch.unitroot.ZivotAndrews", "arch.unitroot.auto_bandwidth", "arch.unitroot.cointegration.CanonicalCointegratingReg", "arch.unitroot.cointegration.CointegrationAnalysisResults", "arch.unitroot.cointegration.DynamicOLS", "arch.unitroot.cointegration.DynamicOLSResults", "arch.unitroot.cointegration.EngleGrangerTestResults", "arch.unitroot.cointegration.FullyModifiedOLS", "arch.unitroot.cointegration.PhillipsOuliarisTestResults", "arch.unitroot.cointegration.engle_granger", "arch.unitroot.cointegration.phillips_ouliaris", "arch.unitroot.ADF.alternative_hypothesis", "arch.unitroot.ADF.critical_values", "arch.unitroot.ADF.lags", "arch.unitroot.ADF.max_lags", "arch.unitroot.ADF.nobs", "arch.unitroot.ADF.null_hypothesis", "arch.unitroot.ADF.pvalue", "arch.unitroot.ADF.regression", "arch.unitroot.ADF.stat", "arch.unitroot.ADF.summary", "arch.unitroot.ADF.trend", "arch.unitroot.ADF.valid_trends", "arch.unitroot.ADF.y", "arch.unitroot.DFGLS.alternative_hypothesis", "arch.unitroot.DFGLS.critical_values", "arch.unitroot.DFGLS.lags", "arch.unitroot.DFGLS.max_lags", "arch.unitroot.DFGLS.nobs", "arch.unitroot.DFGLS.null_hypothesis", "arch.unitroot.DFGLS.pvalue", "arch.unitroot.DFGLS.regression", "arch.unitroot.DFGLS.stat", "arch.unitroot.DFGLS.summary", "arch.unitroot.DFGLS.trend", "arch.unitroot.DFGLS.valid_trends", "arch.unitroot.DFGLS.y", "arch.unitroot.KPSS.alternative_hypothesis", "arch.unitroot.KPSS.critical_values", "arch.unitroot.KPSS.lags", "arch.unitroot.KPSS.nobs", "arch.unitroot.KPSS.null_hypothesis", "arch.unitroot.KPSS.pvalue", "arch.unitroot.KPSS.stat", "arch.unitroot.KPSS.summary", "arch.unitroot.KPSS.trend", "arch.unitroot.KPSS.valid_trends", "arch.unitroot.KPSS.y", "arch.unitroot.PhillipsPerron.alternative_hypothesis", "arch.unitroot.PhillipsPerron.critical_values", "arch.unitroot.PhillipsPerron.lags", "arch.unitroot.PhillipsPerron.nobs", "arch.unitroot.PhillipsPerron.null_hypothesis", "arch.unitroot.PhillipsPerron.pvalue", "arch.unitroot.PhillipsPerron.regression", "arch.unitroot.PhillipsPerron.stat", "arch.unitroot.PhillipsPerron.summary", "arch.unitroot.PhillipsPerron.test_type", "arch.unitroot.PhillipsPerron.trend", "arch.unitroot.PhillipsPerron.valid_trends", "arch.unitroot.PhillipsPerron.y", "arch.unitroot.VarianceRatio.alternative_hypothesis", "arch.unitroot.VarianceRatio.critical_values", "arch.unitroot.VarianceRatio.debiased", "arch.unitroot.VarianceRatio.lags", "arch.unitroot.VarianceRatio.nobs", "arch.unitroot.VarianceRatio.null_hypothesis", "arch.unitroot.VarianceRatio.overlap", "arch.unitroot.VarianceRatio.pvalue", "arch.unitroot.VarianceRatio.robust", "arch.unitroot.VarianceRatio.stat", "arch.unitroot.VarianceRatio.summary", "arch.unitroot.VarianceRatio.trend", "arch.unitroot.VarianceRatio.valid_trends", "arch.unitroot.VarianceRatio.vr", "arch.unitroot.VarianceRatio.y", "arch.unitroot.ZivotAndrews.alternative_hypothesis", "arch.unitroot.ZivotAndrews.critical_values", "arch.unitroot.ZivotAndrews.lags", "arch.unitroot.ZivotAndrews.nobs", "arch.unitroot.ZivotAndrews.null_hypothesis", "arch.unitroot.ZivotAndrews.pvalue", "arch.unitroot.ZivotAndrews.stat", "arch.unitroot.ZivotAndrews.summary", "arch.unitroot.ZivotAndrews.trend", "arch.unitroot.ZivotAndrews.valid_trends", "arch.unitroot.ZivotAndrews.y", "arch.unitroot.cointegration.CanonicalCointegratingReg.fit", "arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth", "arch.unitroot.cointegration.CointegrationAnalysisResults.cov", "arch.unitroot.cointegration.CointegrationAnalysisResults.kernel", "arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance", "arch.unitroot.cointegration.CointegrationAnalysisResults.params", "arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues", "arch.unitroot.cointegration.CointegrationAnalysisResults.resid", "arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance", "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared", "arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj", "arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors", "arch.unitroot.cointegration.CointegrationAnalysisResults.summary", "arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues", "arch.unitroot.cointegration.DynamicOLS.fit", "arch.unitroot.cointegration.DynamicOLSResults.bandwidth", "arch.unitroot.cointegration.DynamicOLSResults.cov", "arch.unitroot.cointegration.DynamicOLSResults.cov_type", "arch.unitroot.cointegration.DynamicOLSResults.full_cov", "arch.unitroot.cointegration.DynamicOLSResults.full_params", "arch.unitroot.cointegration.DynamicOLSResults.kernel", "arch.unitroot.cointegration.DynamicOLSResults.lags", "arch.unitroot.cointegration.DynamicOLSResults.leads", "arch.unitroot.cointegration.DynamicOLSResults.long_run_variance", "arch.unitroot.cointegration.DynamicOLSResults.params", "arch.unitroot.cointegration.DynamicOLSResults.pvalues", "arch.unitroot.cointegration.DynamicOLSResults.resid", "arch.unitroot.cointegration.DynamicOLSResults.residual_variance", "arch.unitroot.cointegration.DynamicOLSResults.rsquared", "arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj", "arch.unitroot.cointegration.DynamicOLSResults.std_errors", "arch.unitroot.cointegration.DynamicOLSResults.summary", "arch.unitroot.cointegration.DynamicOLSResults.tvalues", "arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis", "arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector", "arch.unitroot.cointegration.EngleGrangerTestResults.critical_values", "arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order", "arch.unitroot.cointegration.EngleGrangerTestResults.lags", "arch.unitroot.cointegration.EngleGrangerTestResults.max_lags", "arch.unitroot.cointegration.EngleGrangerTestResults.name", "arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis", "arch.unitroot.cointegration.EngleGrangerTestResults.plot", "arch.unitroot.cointegration.EngleGrangerTestResults.pvalue", "arch.unitroot.cointegration.EngleGrangerTestResults.resid", "arch.unitroot.cointegration.EngleGrangerTestResults.rho", "arch.unitroot.cointegration.EngleGrangerTestResults.stat", "arch.unitroot.cointegration.EngleGrangerTestResults.summary", "arch.unitroot.cointegration.EngleGrangerTestResults.trend", "arch.unitroot.cointegration.FullyModifiedOLS.fit", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.name", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary", "arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend", "Introduction", "The Unit Root Tests", "Unit Root Testing", "Cointegration Testing", "Unit Root Testing", "Theoretical Background", "Distributions", "Forecasting", "arch.univariate.APARCH", "arch.univariate.ARCH", "arch.univariate.ARCHInMean", "arch.univariate.ARX", "arch.univariate.ConstantMean", "arch.univariate.ConstantVariance", "arch.univariate.EGARCH", "arch.univariate.EWMAVariance", "arch.univariate.FIGARCH", "arch.univariate.FixedVariance", "arch.univariate.GARCH", "arch.univariate.GeneralizedError", "arch.univariate.HARCH", "arch.univariate.HARX", "arch.univariate.LS", "arch.univariate.MIDASHyperbolic", "arch.univariate.Normal", "arch.univariate.RiskMetrics2006", "arch.univariate.SkewStudent", "arch.univariate.StudentsT", "arch.univariate.ZeroMean", "arch.univariate.base.ARCHModel", "arch.univariate.base.ARCHModelFixedResult", "arch.univariate.base.ARCHModelForecast", "arch.univariate.base.ARCHModelForecastSimulation", "arch.univariate.base.ARCHModelResult", "arch.univariate.distribution.Distribution", "arch.univariate.recursions.VolatilityUpdater", "arch.univariate.volatility.VarianceForecast", "arch.univariate.volatility.VolatilityProcess", "arch.univariate.APARCH.backcast", "arch.univariate.APARCH.backcast_transform", "arch.univariate.APARCH.bounds", "arch.univariate.APARCH.common_asym", "arch.univariate.APARCH.compute_variance", "arch.univariate.APARCH.constraints", "arch.univariate.APARCH.delta", "arch.univariate.APARCH.forecast", "arch.univariate.APARCH.name", "arch.univariate.APARCH.num_params", "arch.univariate.APARCH.parameter_names", "arch.univariate.APARCH.simulate", "arch.univariate.APARCH.start", "arch.univariate.APARCH.starting_values", "arch.univariate.APARCH.stop", "arch.univariate.APARCH.update", "arch.univariate.APARCH.updateable", "arch.univariate.APARCH.variance_bounds", "arch.univariate.APARCH.volatility_updater", "arch.univariate.ARCH.backcast", "arch.univariate.ARCH.backcast_transform", "arch.univariate.ARCH.bounds", "arch.univariate.ARCH.compute_variance", "arch.univariate.ARCH.constraints", "arch.univariate.ARCH.forecast", "arch.univariate.ARCH.name", "arch.univariate.ARCH.num_params", "arch.univariate.ARCH.parameter_names", "arch.univariate.ARCH.simulate", "arch.univariate.ARCH.start", "arch.univariate.ARCH.starting_values", "arch.univariate.ARCH.stop", "arch.univariate.ARCH.update", "arch.univariate.ARCH.updateable", "arch.univariate.ARCH.variance_bounds", "arch.univariate.ARCH.volatility_updater", "arch.univariate.ARCHInMean.bounds", "arch.univariate.ARCHInMean.compute_param_cov", "arch.univariate.ARCHInMean.constraints", "arch.univariate.ARCHInMean.distribution", "arch.univariate.ARCHInMean.fit", "arch.univariate.ARCHInMean.fix", "arch.univariate.ARCHInMean.forecast", "arch.univariate.ARCHInMean.form", "arch.univariate.ARCHInMean.name", "arch.univariate.ARCHInMean.num_params", "arch.univariate.ARCHInMean.parameter_names", "arch.univariate.ARCHInMean.resids", "arch.univariate.ARCHInMean.simulate", "arch.univariate.ARCHInMean.starting_values", "arch.univariate.ARCHInMean.volatility", "arch.univariate.ARCHInMean.x", "arch.univariate.ARCHInMean.y", "arch.univariate.ARX.bounds", "arch.univariate.ARX.compute_param_cov", "arch.univariate.ARX.constraints", "arch.univariate.ARX.distribution", "arch.univariate.ARX.fit", "arch.univariate.ARX.fix", "arch.univariate.ARX.forecast", "arch.univariate.ARX.name", "arch.univariate.ARX.num_params", "arch.univariate.ARX.parameter_names", "arch.univariate.ARX.resids", "arch.univariate.ARX.simulate", "arch.univariate.ARX.starting_values", "arch.univariate.ARX.volatility", "arch.univariate.ARX.x", "arch.univariate.ARX.y", "arch.univariate.ConstantMean.bounds", "arch.univariate.ConstantMean.compute_param_cov", "arch.univariate.ConstantMean.constraints", "arch.univariate.ConstantMean.distribution", "arch.univariate.ConstantMean.fit", "arch.univariate.ConstantMean.fix", "arch.univariate.ConstantMean.forecast", "arch.univariate.ConstantMean.name", "arch.univariate.ConstantMean.num_params", "arch.univariate.ConstantMean.parameter_names", "arch.univariate.ConstantMean.resids", "arch.univariate.ConstantMean.simulate", "arch.univariate.ConstantMean.starting_values", "arch.univariate.ConstantMean.volatility", "arch.univariate.ConstantMean.x", "arch.univariate.ConstantMean.y", "arch.univariate.ConstantVariance.backcast", "arch.univariate.ConstantVariance.backcast_transform", "arch.univariate.ConstantVariance.bounds", "arch.univariate.ConstantVariance.compute_variance", "arch.univariate.ConstantVariance.constraints", "arch.univariate.ConstantVariance.forecast", "arch.univariate.ConstantVariance.name", "arch.univariate.ConstantVariance.num_params", "arch.univariate.ConstantVariance.parameter_names", "arch.univariate.ConstantVariance.simulate", "arch.univariate.ConstantVariance.start", "arch.univariate.ConstantVariance.starting_values", "arch.univariate.ConstantVariance.stop", "arch.univariate.ConstantVariance.update", "arch.univariate.ConstantVariance.updateable", "arch.univariate.ConstantVariance.variance_bounds", "arch.univariate.ConstantVariance.volatility_updater", "arch.univariate.EGARCH.backcast", "arch.univariate.EGARCH.backcast_transform", "arch.univariate.EGARCH.bounds", "arch.univariate.EGARCH.compute_variance", "arch.univariate.EGARCH.constraints", "arch.univariate.EGARCH.forecast", "arch.univariate.EGARCH.name", "arch.univariate.EGARCH.num_params", "arch.univariate.EGARCH.parameter_names", "arch.univariate.EGARCH.simulate", "arch.univariate.EGARCH.start", "arch.univariate.EGARCH.starting_values", "arch.univariate.EGARCH.stop", "arch.univariate.EGARCH.update", "arch.univariate.EGARCH.updateable", "arch.univariate.EGARCH.variance_bounds", "arch.univariate.EGARCH.volatility_updater", "arch.univariate.EWMAVariance.backcast", "arch.univariate.EWMAVariance.backcast_transform", "arch.univariate.EWMAVariance.bounds", "arch.univariate.EWMAVariance.compute_variance", "arch.univariate.EWMAVariance.constraints", "arch.univariate.EWMAVariance.forecast", "arch.univariate.EWMAVariance.name", "arch.univariate.EWMAVariance.num_params", "arch.univariate.EWMAVariance.parameter_names", "arch.univariate.EWMAVariance.simulate", "arch.univariate.EWMAVariance.start", "arch.univariate.EWMAVariance.starting_values", "arch.univariate.EWMAVariance.stop", "arch.univariate.EWMAVariance.update", "arch.univariate.EWMAVariance.updateable", "arch.univariate.EWMAVariance.variance_bounds", "arch.univariate.EWMAVariance.volatility_updater", "arch.univariate.FIGARCH.backcast", "arch.univariate.FIGARCH.backcast_transform", "arch.univariate.FIGARCH.bounds", "arch.univariate.FIGARCH.compute_variance", "arch.univariate.FIGARCH.constraints", "arch.univariate.FIGARCH.forecast", "arch.univariate.FIGARCH.name", "arch.univariate.FIGARCH.num_params", "arch.univariate.FIGARCH.parameter_names", "arch.univariate.FIGARCH.simulate", "arch.univariate.FIGARCH.start", "arch.univariate.FIGARCH.starting_values", "arch.univariate.FIGARCH.stop", "arch.univariate.FIGARCH.truncation", "arch.univariate.FIGARCH.update", "arch.univariate.FIGARCH.updateable", "arch.univariate.FIGARCH.variance_bounds", "arch.univariate.FIGARCH.volatility_updater", "arch.univariate.FixedVariance.backcast", "arch.univariate.FixedVariance.backcast_transform", "arch.univariate.FixedVariance.bounds", "arch.univariate.FixedVariance.compute_variance", "arch.univariate.FixedVariance.constraints", "arch.univariate.FixedVariance.forecast", "arch.univariate.FixedVariance.name", "arch.univariate.FixedVariance.num_params", "arch.univariate.FixedVariance.parameter_names", "arch.univariate.FixedVariance.simulate", "arch.univariate.FixedVariance.start", "arch.univariate.FixedVariance.starting_values", "arch.univariate.FixedVariance.stop", "arch.univariate.FixedVariance.update", "arch.univariate.FixedVariance.updateable", "arch.univariate.FixedVariance.variance_bounds", "arch.univariate.FixedVariance.volatility_updater", "arch.univariate.GARCH.backcast", "arch.univariate.GARCH.backcast_transform", "arch.univariate.GARCH.bounds", "arch.univariate.GARCH.compute_variance", "arch.univariate.GARCH.constraints", "arch.univariate.GARCH.forecast", "arch.univariate.GARCH.name", "arch.univariate.GARCH.num_params", "arch.univariate.GARCH.parameter_names", "arch.univariate.GARCH.simulate", "arch.univariate.GARCH.start", "arch.univariate.GARCH.starting_values", "arch.univariate.GARCH.stop", "arch.univariate.GARCH.update", "arch.univariate.GARCH.updateable", "arch.univariate.GARCH.variance_bounds", "arch.univariate.GARCH.volatility_updater", "arch.univariate.GeneralizedError.bounds", "arch.univariate.GeneralizedError.cdf", "arch.univariate.GeneralizedError.constraints", "arch.univariate.GeneralizedError.generator", "arch.univariate.GeneralizedError.loglikelihood", "arch.univariate.GeneralizedError.moment", "arch.univariate.GeneralizedError.name", "arch.univariate.GeneralizedError.parameter_names", "arch.univariate.GeneralizedError.partial_moment", "arch.univariate.GeneralizedError.ppf", "arch.univariate.GeneralizedError.random_state", "arch.univariate.GeneralizedError.simulate", "arch.univariate.GeneralizedError.starting_values", "arch.univariate.HARCH.backcast", "arch.univariate.HARCH.backcast_transform", "arch.univariate.HARCH.bounds", "arch.univariate.HARCH.compute_variance", "arch.univariate.HARCH.constraints", "arch.univariate.HARCH.forecast", "arch.univariate.HARCH.name", "arch.univariate.HARCH.num_params", "arch.univariate.HARCH.parameter_names", "arch.univariate.HARCH.simulate", "arch.univariate.HARCH.start", "arch.univariate.HARCH.starting_values", "arch.univariate.HARCH.stop", "arch.univariate.HARCH.update", "arch.univariate.HARCH.updateable", "arch.univariate.HARCH.variance_bounds", "arch.univariate.HARCH.volatility_updater", "arch.univariate.HARX.bounds", "arch.univariate.HARX.compute_param_cov", "arch.univariate.HARX.constraints", "arch.univariate.HARX.distribution", "arch.univariate.HARX.fit", "arch.univariate.HARX.fix", "arch.univariate.HARX.forecast", "arch.univariate.HARX.name", "arch.univariate.HARX.num_params", "arch.univariate.HARX.parameter_names", "arch.univariate.HARX.resids", "arch.univariate.HARX.simulate", "arch.univariate.HARX.starting_values", "arch.univariate.HARX.volatility", "arch.univariate.HARX.x", "arch.univariate.HARX.y", "arch.univariate.LS.bounds", "arch.univariate.LS.compute_param_cov", "arch.univariate.LS.constraints", "arch.univariate.LS.distribution", "arch.univariate.LS.fit", "arch.univariate.LS.fix", "arch.univariate.LS.forecast", "arch.univariate.LS.name", "arch.univariate.LS.num_params", "arch.univariate.LS.parameter_names", "arch.univariate.LS.resids", "arch.univariate.LS.simulate", "arch.univariate.LS.starting_values", "arch.univariate.LS.volatility", "arch.univariate.LS.x", "arch.univariate.LS.y", "arch.univariate.MIDASHyperbolic.backcast", "arch.univariate.MIDASHyperbolic.backcast_transform", "arch.univariate.MIDASHyperbolic.bounds", "arch.univariate.MIDASHyperbolic.compute_variance", "arch.univariate.MIDASHyperbolic.constraints", "arch.univariate.MIDASHyperbolic.forecast", "arch.univariate.MIDASHyperbolic.name", "arch.univariate.MIDASHyperbolic.num_params", "arch.univariate.MIDASHyperbolic.parameter_names", "arch.univariate.MIDASHyperbolic.simulate", "arch.univariate.MIDASHyperbolic.start", "arch.univariate.MIDASHyperbolic.starting_values", "arch.univariate.MIDASHyperbolic.stop", "arch.univariate.MIDASHyperbolic.update", "arch.univariate.MIDASHyperbolic.updateable", "arch.univariate.MIDASHyperbolic.variance_bounds", "arch.univariate.MIDASHyperbolic.volatility_updater", "arch.univariate.Normal.bounds", "arch.univariate.Normal.cdf", "arch.univariate.Normal.constraints", "arch.univariate.Normal.generator", "arch.univariate.Normal.loglikelihood", "arch.univariate.Normal.moment", "arch.univariate.Normal.name", "arch.univariate.Normal.parameter_names", "arch.univariate.Normal.partial_moment", "arch.univariate.Normal.ppf", "arch.univariate.Normal.random_state", "arch.univariate.Normal.simulate", "arch.univariate.Normal.starting_values", "arch.univariate.RiskMetrics2006.backcast", "arch.univariate.RiskMetrics2006.backcast_transform", "arch.univariate.RiskMetrics2006.bounds", "arch.univariate.RiskMetrics2006.compute_variance", "arch.univariate.RiskMetrics2006.constraints", "arch.univariate.RiskMetrics2006.forecast", "arch.univariate.RiskMetrics2006.name", "arch.univariate.RiskMetrics2006.num_params", "arch.univariate.RiskMetrics2006.parameter_names", "arch.univariate.RiskMetrics2006.simulate", "arch.univariate.RiskMetrics2006.start", "arch.univariate.RiskMetrics2006.starting_values", "arch.univariate.RiskMetrics2006.stop", "arch.univariate.RiskMetrics2006.update", "arch.univariate.RiskMetrics2006.updateable", "arch.univariate.RiskMetrics2006.variance_bounds", "arch.univariate.RiskMetrics2006.volatility_updater", "arch.univariate.SkewStudent.bounds", "arch.univariate.SkewStudent.cdf", "arch.univariate.SkewStudent.constraints", "arch.univariate.SkewStudent.generator", "arch.univariate.SkewStudent.loglikelihood", "arch.univariate.SkewStudent.moment", "arch.univariate.SkewStudent.name", "arch.univariate.SkewStudent.parameter_names", "arch.univariate.SkewStudent.partial_moment", "arch.univariate.SkewStudent.ppf", "arch.univariate.SkewStudent.random_state", "arch.univariate.SkewStudent.simulate", "arch.univariate.SkewStudent.starting_values", "arch.univariate.StudentsT.bounds", "arch.univariate.StudentsT.cdf", "arch.univariate.StudentsT.constraints", "arch.univariate.StudentsT.generator", "arch.univariate.StudentsT.loglikelihood", "arch.univariate.StudentsT.moment", "arch.univariate.StudentsT.name", "arch.univariate.StudentsT.parameter_names", "arch.univariate.StudentsT.partial_moment", "arch.univariate.StudentsT.ppf", "arch.univariate.StudentsT.random_state", "arch.univariate.StudentsT.simulate", "arch.univariate.StudentsT.starting_values", "arch.univariate.ZeroMean.bounds", "arch.univariate.ZeroMean.compute_param_cov", "arch.univariate.ZeroMean.constraints", "arch.univariate.ZeroMean.distribution", "arch.univariate.ZeroMean.fit", "arch.univariate.ZeroMean.fix", "arch.univariate.ZeroMean.forecast", "arch.univariate.ZeroMean.name", "arch.univariate.ZeroMean.num_params", "arch.univariate.ZeroMean.parameter_names", "arch.univariate.ZeroMean.resids", "arch.univariate.ZeroMean.simulate", "arch.univariate.ZeroMean.starting_values", "arch.univariate.ZeroMean.volatility", "arch.univariate.ZeroMean.x", "arch.univariate.ZeroMean.y", "arch.univariate.base.ARCHModel.bounds", "arch.univariate.base.ARCHModel.compute_param_cov", "arch.univariate.base.ARCHModel.constraints", "arch.univariate.base.ARCHModel.distribution", "arch.univariate.base.ARCHModel.fit", "arch.univariate.base.ARCHModel.fix", "arch.univariate.base.ARCHModel.forecast", "arch.univariate.base.ARCHModel.name", "arch.univariate.base.ARCHModel.num_params", "arch.univariate.base.ARCHModel.parameter_names", "arch.univariate.base.ARCHModel.resids", "arch.univariate.base.ARCHModel.simulate", "arch.univariate.base.ARCHModel.starting_values", "arch.univariate.base.ARCHModel.volatility", "arch.univariate.base.ARCHModel.y", "arch.univariate.base.ARCHModelFixedResult.aic", "arch.univariate.base.ARCHModelFixedResult.arch_lm_test", "arch.univariate.base.ARCHModelFixedResult.bic", "arch.univariate.base.ARCHModelFixedResult.conditional_volatility", "arch.univariate.base.ARCHModelFixedResult.forecast", "arch.univariate.base.ARCHModelFixedResult.hedgehog_plot", "arch.univariate.base.ARCHModelFixedResult.loglikelihood", "arch.univariate.base.ARCHModelFixedResult.model", "arch.univariate.base.ARCHModelFixedResult.nobs", "arch.univariate.base.ARCHModelFixedResult.num_params", "arch.univariate.base.ARCHModelFixedResult.params", "arch.univariate.base.ARCHModelFixedResult.plot", "arch.univariate.base.ARCHModelFixedResult.resid", "arch.univariate.base.ARCHModelFixedResult.std_resid", "arch.univariate.base.ARCHModelFixedResult.summary", "arch.univariate.base.ARCHModelForecast.mean", "arch.univariate.base.ARCHModelForecast.residual_variance", "arch.univariate.base.ARCHModelForecast.simulations", "arch.univariate.base.ARCHModelForecast.variance", "arch.univariate.base.ARCHModelForecastSimulation.index", "arch.univariate.base.ARCHModelForecastSimulation.residual_variances", "arch.univariate.base.ARCHModelForecastSimulation.residuals", "arch.univariate.base.ARCHModelForecastSimulation.values", "arch.univariate.base.ARCHModelForecastSimulation.variances", "arch.univariate.base.ARCHModelResult.aic", "arch.univariate.base.ARCHModelResult.arch_lm_test", "arch.univariate.base.ARCHModelResult.bic", "arch.univariate.base.ARCHModelResult.conditional_volatility", "arch.univariate.base.ARCHModelResult.conf_int", "arch.univariate.base.ARCHModelResult.convergence_flag", "arch.univariate.base.ARCHModelResult.fit_start", "arch.univariate.base.ARCHModelResult.fit_stop", "arch.univariate.base.ARCHModelResult.forecast", "arch.univariate.base.ARCHModelResult.hedgehog_plot", "arch.univariate.base.ARCHModelResult.loglikelihood", "arch.univariate.base.ARCHModelResult.model", "arch.univariate.base.ARCHModelResult.nobs", "arch.univariate.base.ARCHModelResult.num_params", "arch.univariate.base.ARCHModelResult.optimization_result", "arch.univariate.base.ARCHModelResult.param_cov", "arch.univariate.base.ARCHModelResult.params", "arch.univariate.base.ARCHModelResult.plot", "arch.univariate.base.ARCHModelResult.pvalues", "arch.univariate.base.ARCHModelResult.resid", "arch.univariate.base.ARCHModelResult.rsquared", "arch.univariate.base.ARCHModelResult.rsquared_adj", "arch.univariate.base.ARCHModelResult.scale", "arch.univariate.base.ARCHModelResult.std_err", "arch.univariate.base.ARCHModelResult.std_resid", "arch.univariate.base.ARCHModelResult.summary", "arch.univariate.base.ARCHModelResult.tvalues", "arch.univariate.distribution.Distribution.bounds", "arch.univariate.distribution.Distribution.cdf", "arch.univariate.distribution.Distribution.constraints", "arch.univariate.distribution.Distribution.generator", "arch.univariate.distribution.Distribution.loglikelihood", "arch.univariate.distribution.Distribution.moment", "arch.univariate.distribution.Distribution.name", "arch.univariate.distribution.Distribution.parameter_names", "arch.univariate.distribution.Distribution.partial_moment", "arch.univariate.distribution.Distribution.ppf", "arch.univariate.distribution.Distribution.random_state", "arch.univariate.distribution.Distribution.simulate", "arch.univariate.distribution.Distribution.starting_values", "arch.univariate.recursions.VolatilityUpdater.initialize_update", "arch.univariate.volatility.VarianceForecast.forecast_paths", "arch.univariate.volatility.VarianceForecast.forecasts", "arch.univariate.volatility.VarianceForecast.shocks", "arch.univariate.volatility.VolatilityProcess.backcast", "arch.univariate.volatility.VolatilityProcess.backcast_transform", "arch.univariate.volatility.VolatilityProcess.bounds", "arch.univariate.volatility.VolatilityProcess.compute_variance", "arch.univariate.volatility.VolatilityProcess.constraints", "arch.univariate.volatility.VolatilityProcess.forecast", "arch.univariate.volatility.VolatilityProcess.name", "arch.univariate.volatility.VolatilityProcess.num_params", "arch.univariate.volatility.VolatilityProcess.parameter_names", "arch.univariate.volatility.VolatilityProcess.simulate", "arch.univariate.volatility.VolatilityProcess.start", "arch.univariate.volatility.VolatilityProcess.starting_values", "arch.univariate.volatility.VolatilityProcess.stop", "arch.univariate.volatility.VolatilityProcess.update", "arch.univariate.volatility.VolatilityProcess.updateable", "arch.univariate.volatility.VolatilityProcess.variance_bounds", "arch.univariate.volatility.VolatilityProcess.volatility_updater", "Introduction to ARCH Models", "Mean Models", "Model Results", "Univariate Volatility Models", "Forecasting with Exogenous Regressors", "Using the Fixed Variance process", "Volatility Forecasting", "ARCH Modeling", "Volatility Scenarios", "Utilities", "Volatility Processes"], "titleterms": {"": 914, "0": [91, 96, 97, 98], "1": [91, 92, 93, 95, 96, 97, 98], "10": 95, "11": 95, "12": 95, "13": 95, "14": 95, "15": 95, "16": 95, "17": 95, "18": 95, "19": 95, "2": [93, 95, 96, 97], "3": [94, 95, 96, 97], "4": [95, 96], "5": [95, 96], "6": [95, 97], "7": [91, 95, 98], "8": 95, "9": 95, "The": [3, 87, 271, 431], "abil": [270, 271], "acceler": 4, "across": 915, "adf": [275, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303], "aic": [822, 846], "align": 911, "also": [5, 6, 7, 8, 9, 10, 100, 104, 105, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 251, 252, 289, 290, 381], "altern": [89, 913], "alternative_hypothesi": [291, 304, 317, 328, 341, 356, 400, 416], "an": 911, "analysi": 432, "analyt": [437, 913], "andrew": [100, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 434], "aparch": [438, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486], "api": 0, "appli": [11, 26, 41, 56, 71], "approxim": 4, "arch": [5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 914], "arch_lm_test": [823, 847], "archinmean": [440, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520], "archmodel": [459, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821], "archmodelfixedresult": [460, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836], "archmodelforecast": [461, 837, 838, 839, 840], "archmodelforecastsimul": [462, 841, 842, 843, 844, 845], "archmodelresult": [463, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872], "arrai": [273, 911], "arx": [441, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536], "asymptot": 4, "augment": 434, "auto_bandwidth": 281, "automat": 431, "backcast": [468, 487, 553, 570, 587, 604, 622, 639, 669, 718, 748, 890], "backcast_transform": [469, 488, 554, 571, 588, 605, 623, 640, 670, 719, 749, 891], "background": 435, "bandwidth": [114, 124, 138, 148, 158, 168, 178, 188, 198, 208, 218, 228, 238, 368, 382, 417, 431], "bandwidth_scal": [115, 125, 139, 149, 159, 169, 179, 189, 199, 209, 219, 229, 239], "bartlett": [101, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133], "base": [99, 459, 460, 461, 462, 463, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872], "basic": [4, 430, 913], "bc": 4, "bca": 4, "better_model": 259, "bia": 4, "bic": [824, 848], "block": [0, 3], "bootstrap": [0, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 87, 89, 90, 96, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 437, 913, 915], "bound": [470, 489, 504, 521, 537, 555, 572, 589, 606, 624, 641, 656, 671, 686, 702, 720, 735, 750, 765, 778, 791, 807, 873, 892], "build": 914, "canonicalcointegratingreg": [282, 367], "case": 911, "cdf": [657, 736, 766, 779, 874], "center": [116, 126, 140, 150, 160, 170, 180, 190, 200, 210, 220, 230, 240], "chang": [91, 96], "check": 270, "circularblockbootstrap": [5, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25], "citat": 248, "class": [99, 274, 437], "clone": [13, 28, 43, 58, 73], "cointegr": [0, 274, 282, 283, 284, 285, 286, 287, 288, 289, 290, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 432, 433], "cointegrating_vector": [401, 418], "cointegrationanalysisresult": [283, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380], "common": [273, 914], "common_asym": 471, "compar": 915, "comparison": [0, 271, 272], "compon": 914, "comput": [253, 260, 266], "compute_param_cov": [505, 522, 538, 687, 703, 792, 808], "compute_vari": [472, 490, 556, 573, 590, 607, 625, 642, 672, 721, 751, 893], "condit": 911, "conditional_volatil": [825, 849], "conf_int": [14, 29, 44, 59, 74, 850], "confid": [4, 270, 271], "constant": 914, "constantmean": [442, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552], "constantvari": [443, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569], "constraint": [473, 491, 506, 523, 539, 557, 574, 591, 608, 626, 643, 658, 673, 688, 704, 722, 737, 752, 767, 780, 793, 809, 875, 894], "construct": 87, "constructor": 907, "convergence_flag": 851, "correct": 4, "cov": [4, 15, 30, 45, 60, 75, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 369, 383], "cov_typ": 384, "covari": [0, 88, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247], "covarianceestim": [102, 103, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147], "critical_valu": [261, 292, 305, 318, 329, 342, 357, 402, 419], "crude": 914, "custom": 915, "d": 86, "data": [86, 911, 912, 913], "datafram": 911, "debias": [4, 343], "definit": 273, "delta": 474, "design": 271, "determinist": 434, "dfgl": [276, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316], "dickei": 434, "dict": 911, "differ": 915, "direct": 912, "directli": 3, "distribut": [0, 86, 436, 464, 507, 524, 540, 689, 705, 794, 810, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 914], "distribution_ord": [403, 420], "dynamicol": [284, 381], "dynamicolsresult": [285, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399], "egarch": [444, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586], "engle_grang": 289, "englegrangertestresult": [286, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414], "error": 914, "estim": [0, 3, 87, 88, 99, 274, 912], "ewmavari": [445, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603], "exampl": [3, 430], "exclud": 254, "exogen": 911, "extra_kwarg": 89, "figarch": [446, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621], "filter": 913, "fit": [3, 367, 381, 415, 508, 525, 541, 690, 706, 795, 811, 911], "fit_start": 852, "fit_stop": 853, "fix": [509, 526, 542, 691, 707, 796, 812, 912, 913, 914], "fixedvari": [447, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 912, 917], "force_int": [118, 128, 142, 152, 162, 172, 182, 192, 202, 212, 222, 232, 242], "forecast": [437, 475, 492, 510, 527, 543, 558, 575, 592, 609, 627, 644, 674, 692, 708, 723, 753, 797, 813, 826, 854, 888, 895, 911, 913], "forecast_path": 887, "form": 511, "from": 914, "full_cov": 385, "full_param": 386, "fuller": 434, "fullymodifiedol": [287, 415], "function": 3, "g": 908, "gallant": [104, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157], "garch": [448, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 914], "gener": [16, 31, 46, 61, 76, 659, 738, 768, 781, 876, 913, 915], "generalizederror": [449, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668], "get_stat": [17, 32, 47, 62, 77], "gjr": 914, "gl": 434, "hac": 0, "harch": [450, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685], "harx": [451, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701], "hedgehog_plot": [827, 855], "high": 0, "histor": 913, "i": 86, "ident": 86, "iidbootstrap": [6, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40], "includ": 255, "independ": 86, "independentsamplesbootstrap": [7, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55], "index": [18, 33, 48, 63, 78, 248, 841], "initi": 912, "initialize_upd": 886, "input": 911, "instead": 89, "interfac": 87, "interv": 4, "introduct": [248, 430, 907], "iter": 87, "kernel": [100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 370, 387, 421], "kernel_const": [119, 129, 143, 153, 163, 173, 183, 193, 203, 213, 223, 233, 243], "kernel_weight": [120, 130, 144, 154, 164, 174, 184, 194, 204, 214, 224, 234, 244], "kpss": [277, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 434], "l": [452, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717], "lag": [293, 306, 319, 330, 344, 358, 388, 404, 434], "lead": 389, "length": [0, 3], "level": [0, 87], "log": 91, "loglikelihood": [660, 739, 769, 782, 828, 856, 877], "long": [0, 99], "long_run": 134, "long_run_vari": [371, 390], "low": 87, "max_lag": [294, 307, 405], "mc": [250, 253, 254, 255, 256, 257, 258, 270], "mean": [0, 837, 908, 911, 912, 914], "method": [4, 89], "midashyperbol": [453, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734], "model": [0, 3, 96, 270, 271, 829, 857, 907, 908, 909, 910, 911, 912, 914], "modul": 270, "moment": [661, 740, 770, 783, 878], "movingblockbootstrap": [8, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70], "multipl": [0, 270, 271, 272, 911], "name": [121, 131, 145, 155, 165, 175, 185, 195, 205, 215, 225, 235, 245, 406, 422, 476, 493, 512, 528, 544, 559, 576, 593, 610, 628, 645, 662, 675, 693, 709, 724, 741, 754, 771, 784, 798, 814, 879, 896], "nearli": 911, "new": [436, 908, 917], "neweywest": [105, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167], "nob": [295, 308, 320, 331, 345, 359, 830, 858], "nonparametr": 4, "norm": 4, "normal": [4, 454, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747], "note": [4, 12, 15, 25, 27, 30, 40, 42, 45, 55, 57, 60, 70, 72, 75, 85, 88, 89, 91, 98, 248], "null_hypothesi": [296, 309, 321, 332, 346, 360, 407, 423], "num_param": [477, 494, 513, 529, 545, 560, 577, 594, 611, 629, 646, 676, 694, 710, 725, 755, 799, 815, 831, 859, 897], "number": 434, "one_sid": 135, "one_sided_strict": 136, "opt_bandwidth": [122, 132, 146, 156, 166, 176, 186, 196, 206, 216, 226, 236, 246], "optim": 3, "optimal_block_length": 10, "optimization_result": 860, "option": 437, "origin": 911, "other": 273, "ouliari": 433, "out": 911, "output": [434, 437], "overlap": 347, "param": [372, 391, 832, 862], "param_cov": 861, "paramet": [87, 914], "parameter_nam": [478, 495, 514, 530, 546, 561, 578, 595, 612, 630, 647, 663, 677, 695, 711, 726, 742, 756, 772, 785, 800, 816, 880, 898], "parameterless": 917, "parametr": [4, 89, 913], "partial": 89, "partial_mo": [664, 743, 773, 786, 881], "parzen": [106, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177], "parzencauchi": [107, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187], "parzengeometr": [108, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197], "parzenriesz": [109, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207], "past": 91, "path": 915, "percentil": 4, "perron": 434, "phillip": [433, 434], "phillips_ouliari": 290, "phillipsouliaristestresult": [288, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429], "phillipsperron": [278, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340], "plot": [408, 424, 833, 863, 911], "power": 271, "ppf": [665, 744, 774, 787, 882], "predict": [270, 271], "probit": 3, "procedur": 272, "process": [0, 912, 914, 917], "produc": 911, "pvalu": [256, 262, 297, 310, 322, 333, 348, 361, 373, 392, 409, 425, 864], "quadraticspectr": [110, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217], "random": 915, "random_st": [19, 34, 49, 64, 79, 666, 745, 775, 788, 883], "rate": [123, 133, 147, 157, 167, 177, 187, 197, 207, 217, 227, 237, 247], "ratio": [3, 434], "re": 912, "realiti": 270, "recurs": [465, 886, 913], "refer": [0, 1, 249, 270], "regress": [298, 311, 334, 434], "regressor": 911, "relationship": 0, "releas": [91, 95, 96, 97, 98], "reproduc": 3, "requir": 908, "reset": [20, 35, 50, 65, 80, 257, 263, 267], "resid": [374, 393, 410, 426, 515, 531, 547, 696, 712, 801, 817, 834, 865], "residu": 843, "residual_vari": [375, 394, 838, 842], "result": [99, 274, 909, 916], "rho": 411, "risk": 913, "riskmetrics2006": [455, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764], "robust": 349, "roll": 913, "root": [0, 96, 431, 432, 434], "rsquar": [376, 395, 866], "rsquared_adj": [377, 396, 867], "run": [0, 99], "sampl": [3, 86, 911], "scale": 868, "scenario": 915, "scheme": 913, "see": [5, 6, 7, 8, 9, 10, 100, 104, 105, 117, 127, 141, 151, 161, 171, 181, 191, 201, 211, 221, 231, 241, 251, 252, 289, 290, 381], "seed": [21, 36, 51, 66, 81, 258, 264, 268], "select": [0, 431], "semi": 4, "semiparametr": 89, "seri": 90, "set": [270, 271, 434], "set_stat": [22, 37, 52, 67, 82], "setup": [4, 96, 434, 912, 914], "sharp": 3, "shock": [0, 889], "short_run": 137, "simul": [437, 479, 496, 516, 532, 548, 562, 579, 596, 613, 631, 648, 667, 678, 697, 713, 727, 746, 757, 776, 789, 802, 818, 839, 884, 899, 911, 913, 914], "sinc": 96, "singl": 911, "size": 911, "skewstud": [456, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777], "spa": [251, 259, 260, 261, 262, 263, 264, 265, 270, 271], "special": [908, 911], "specif": 0, "specifi": 914, "speed": 3, "start": [480, 497, 563, 580, 597, 614, 632, 649, 679, 728, 758, 900], "starting_valu": [481, 498, 517, 533, 549, 564, 581, 598, 615, 633, 650, 668, 680, 698, 714, 729, 747, 759, 777, 790, 803, 819, 885, 901], "stat": [299, 312, 323, 335, 350, 362, 412, 427], "state": [23, 38, 53, 68, 83], "static": 911, "stationarybootstrap": [9, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85], "statsmodel": 3, "std_err": 869, "std_error": [378, 397], "std_resid": [835, 870], "stepm": [252, 266, 267, 268, 269, 270, 271], "stepwis": [270, 271], "stop": [482, 499, 565, 582, 599, 616, 634, 651, 681, 730, 760, 902], "student": [4, 914], "studentst": [457, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790], "studi": 271, "subset": 265, "summari": [300, 313, 324, 336, 351, 363, 379, 398, 413, 428, 836, 871], "superior": [270, 271], "superior_model": 269, "t": 914, "tarch": [913, 914], "target": 911, "term": 434, "test": [0, 270, 271, 274, 431, 432, 433, 434, 916], "test_typ": 337, "theoret": 435, "thing": 3, "time": 90, "trend": [301, 314, 325, 338, 352, 364, 414, 429], "true": 911, "truncat": 617, "tukeyham": [111, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227], "tukeyhan": [112, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237], "tukeyparzen": [113, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247], "tvalu": [380, 399, 872], "type": [4, 273], "understand": 437, "uneven": 3, "unit": [0, 96, 431, 432, 434], "unitroot": [275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429], "univari": [438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857, 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 910], "up": 3, "updat": [483, 484, 500, 501, 566, 567, 583, 584, 600, 601, 618, 619, 635, 636, 652, 653, 682, 683, 731, 732, 761, 762, 903, 904], "update_indic": [24, 39, 54, 69, 84], "us": [89, 911, 912], "util": 916, "v": 911, "valid_trend": [302, 315, 326, 339, 353, 365], "valu": [844, 911, 913], "var": [4, 25, 40, 55, 70, 85, 913], "variabl": 911, "varianc": [434, 840, 845, 912, 917], "variance_bound": [485, 502, 568, 585, 602, 620, 637, 654, 684, 733, 763, 905], "varianceforecast": [466, 887, 888, 889], "varianceratio": [279, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355], "vector": 274, "version": [91, 92, 93, 94, 95, 96, 97, 98], "visual": 915, "volatil": [0, 96, 466, 467, 518, 534, 550, 699, 715, 804, 820, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 910, 912, 913, 914, 915, 917], "volatility_updat": [486, 503, 569, 586, 603, 621, 638, 655, 685, 734, 764, 906], "volatilityprocess": [467, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906], "volatilityupdat": [465, 886], "vr": 354, "warn": [3, 89], "window": 913, "wrapper": 3, "write": [436, 908, 917], "wti": 914, "x": [519, 535, 551, 700, 716, 805, 911], "y": [303, 316, 327, 340, 355, 366, 520, 536, 552, 701, 717, 806, 821], "year": 915, "zag": 912, "zarch": 914, "zeromean": [458, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806], "zig": 912, "zivot": 434, "zivotandrew": [280, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366]}})
\ No newline at end of file
diff --git a/devel/types.html b/devel/types.html
index fe912b82c9..d2bdd60825 100644
--- a/devel/types.html
+++ b/devel/types.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Common Type Definitions - arch v7.1.1 (+16)</title>
+        <title>Common Type Definitions - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/cointegration.html b/devel/unitroot/cointegration.html
index 00f6a56284..4889085047 100644
--- a/devel/unitroot/cointegration.html
+++ b/devel/unitroot/cointegration.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Cointegration Tests - arch v7.1.1 (+16)</title>
+        <title>Cointegration Tests - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.ADF.html b/devel/unitroot/generated/arch.unitroot.ADF.html
index f5279d2bda..b574730a0e 100644
--- a/devel/unitroot/generated/arch.unitroot.ADF.html
+++ b/devel/unitroot/generated/arch.unitroot.ADF.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.DFGLS.html b/devel/unitroot/generated/arch.unitroot.DFGLS.html
index 8a8a3c0a8f..117e4128a7 100644
--- a/devel/unitroot/generated/arch.unitroot.DFGLS.html
+++ b/devel/unitroot/generated/arch.unitroot.DFGLS.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.KPSS.html b/devel/unitroot/generated/arch.unitroot.KPSS.html
index 33e719c70a..059fb06163 100644
--- a/devel/unitroot/generated/arch.unitroot.KPSS.html
+++ b/devel/unitroot/generated/arch.unitroot.KPSS.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.PhillipsPerron.html b/devel/unitroot/generated/arch.unitroot.PhillipsPerron.html
index feb2544a5f..5175e2ae82 100644
--- a/devel/unitroot/generated/arch.unitroot.PhillipsPerron.html
+++ b/devel/unitroot/generated/arch.unitroot.PhillipsPerron.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.VarianceRatio.html b/devel/unitroot/generated/arch.unitroot.VarianceRatio.html
index 828fcea551..1ae254f070 100644
--- a/devel/unitroot/generated/arch.unitroot.VarianceRatio.html
+++ b/devel/unitroot/generated/arch.unitroot.VarianceRatio.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.ZivotAndrews.html b/devel/unitroot/generated/arch.unitroot.ZivotAndrews.html
index 601958e514..795314bcfa 100644
--- a/devel/unitroot/generated/arch.unitroot.ZivotAndrews.html
+++ b/devel/unitroot/generated/arch.unitroot.ZivotAndrews.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.auto_bandwidth.html b/devel/unitroot/generated/arch.unitroot.auto_bandwidth.html
index 0a44c367fa..600dc7c0e3 100644
--- a/devel/unitroot/generated/arch.unitroot.auto_bandwidth.html
+++ b/devel/unitroot/generated/arch.unitroot.auto_bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.auto_bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.auto_bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.html b/devel/unitroot/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.html
index 039a9ca99b..90ef1ff2e3 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CanonicalCointegratingReg - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CanonicalCointegratingReg - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.html b/devel/unitroot/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.html
index b37407d29f..a5b2098246 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLS.html b/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLS.html
index db663e3713..30aafe397b 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLS.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLS.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLS - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLS - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLSResults.html b/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLSResults.html
index a5263245ba..f0277abfe6 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLSResults.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.DynamicOLSResults.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.EngleGrangerTestResults.html b/devel/unitroot/generated/arch.unitroot.cointegration.EngleGrangerTestResults.html
index fc4dc9f5be..c860c18cb1 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.EngleGrangerTestResults.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.EngleGrangerTestResults.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.FullyModifiedOLS.html b/devel/unitroot/generated/arch.unitroot.cointegration.FullyModifiedOLS.html
index 626e20d549..1541a8ed11 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.FullyModifiedOLS.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.FullyModifiedOLS.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.FullyModifiedOLS - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.FullyModifiedOLS - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.html b/devel/unitroot/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.html
index aee6c7d49d..c10890a2b7 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.engle_granger.html b/devel/unitroot/generated/arch.unitroot.cointegration.engle_granger.html
index 9b7061eae9..910d692702 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.engle_granger.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.engle_granger.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.engle_granger - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.engle_granger - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/arch.unitroot.cointegration.phillips_ouliaris.html b/devel/unitroot/generated/arch.unitroot.cointegration.phillips_ouliaris.html
index 672a7c3a9d..58cc55767d 100644
--- a/devel/unitroot/generated/arch.unitroot.cointegration.phillips_ouliaris.html
+++ b/devel/unitroot/generated/arch.unitroot.cointegration.phillips_ouliaris.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.phillips_ouliaris - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.phillips_ouliaris - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.alternative_hypothesis.html
index 6027352959..532b9a68ba 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.critical_values.html
index 3d36520940..a8bd352c4c 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.lags.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.lags.html
index 0b6e678231..1f9d129f38 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.max_lags.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.max_lags.html
index 5f5ee8bd6a..c0c62ccc07 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.max_lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.max_lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.max_lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.max_lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.nobs.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.nobs.html
index e861157ab5..9c3146a939 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.nobs.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.null_hypothesis.html
index d50528849a..4301a3b3f0 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.pvalue.html
index 6abf0db813..5477828b85 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.regression.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.regression.html
index 5ab0a0015d..9f4d7a85dc 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.regression.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.regression.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.regression - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.regression - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.stat.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.stat.html
index 54224b7e1f..24f25c27f0 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.summary.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.summary.html
index c30f0658aa..68493f9462 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.trend.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.trend.html
index 48a3edc101..b34a74f7ad 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.valid_trends.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.valid_trends.html
index b1e692353c..ed0390ebb9 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.valid_trends.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.valid_trends.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.valid_trends - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.valid_trends - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ADF.y.html b/devel/unitroot/generated/generated/arch.unitroot.ADF.y.html
index fab55e549c..c852b73d94 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ADF.y.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ADF.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ADF.y - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ADF.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.alternative_hypothesis.html
index fa9fe6d09c..537da43a66 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.critical_values.html
index 1de949c31c..ef28053761 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.lags.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.lags.html
index 11b0f22d4b..2906c00e28 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.max_lags.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.max_lags.html
index 95965af2a9..18d7ee2437 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.max_lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.max_lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.max_lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.max_lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.nobs.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.nobs.html
index 070ca7ccc9..ae32fb4ed7 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.nobs.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.null_hypothesis.html
index 86729055ae..6147ebba7b 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.pvalue.html
index ddc930d571..c226853bbb 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.regression.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.regression.html
index e7b277499a..d842713432 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.regression.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.regression.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.regression - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.regression - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.stat.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.stat.html
index a0626d5743..5786213c1c 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.summary.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.summary.html
index 8295ee502c..511ba98196 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.trend.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.trend.html
index e0f2dcc788..f8e7c5928b 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.valid_trends.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.valid_trends.html
index 363bc7ebef..c3524e8cdb 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.valid_trends.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.valid_trends.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.valid_trends - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.valid_trends - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.y.html b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.y.html
index 8c353cf0ff..4dee41329c 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.DFGLS.y.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.DFGLS.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.DFGLS.y - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.DFGLS.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.alternative_hypothesis.html
index 796dc393d7..45669908fa 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.critical_values.html
index f3738bcaff..dd9cd968f4 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.lags.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.lags.html
index 53a11b796d..38b9ce9dec 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.nobs.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.nobs.html
index d5255e93a9..877dacccc7 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.nobs.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.null_hypothesis.html
index c417277dd7..4097bbf4f9 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.pvalue.html
index 0f21cf2ced..57224cfea1 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.stat.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.stat.html
index 21af7af770..035b2d070a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.summary.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.summary.html
index 0e630ad930..85d936acd4 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.trend.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.trend.html
index a99523fde2..727b0d6f02 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.valid_trends.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.valid_trends.html
index f9b88646a7..75864f87dc 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.valid_trends.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.valid_trends.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.valid_trends - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.valid_trends - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.KPSS.y.html b/devel/unitroot/generated/generated/arch.unitroot.KPSS.y.html
index 895d6515c2..c6b11ec995 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.KPSS.y.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.KPSS.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.KPSS.y - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.KPSS.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.alternative_hypothesis.html
index 4ea4657cd9..f6bbc4bf3b 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.critical_values.html
index c1399fd840..d0598900f5 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.lags.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.lags.html
index e423093a41..d33f0aa7a2 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.nobs.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.nobs.html
index 6f0491c3e6..ead609db56 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.nobs.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.null_hypothesis.html
index 75b763b217..eb0a2c4838 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.pvalue.html
index 3da3f7ec1c..d55687c7cb 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.regression.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.regression.html
index d6c2619fac..28d7320d0e 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.regression.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.regression.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.regression - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.regression - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.stat.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.stat.html
index 652151ed7e..23892e9d66 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.summary.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.summary.html
index 233d1ee55c..d687dfe73a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.test_type.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.test_type.html
index 5bf80b3e9f..c0215f43aa 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.test_type.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.test_type.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.test_type - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.test_type - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.trend.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.trend.html
index f83daeab69..2dc0e04d1d 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.valid_trends.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.valid_trends.html
index 498b4ac8cb..944022ddd3 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.valid_trends.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.valid_trends.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.valid_trends - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.valid_trends - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.y.html b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.y.html
index 5ea9a909ed..9bb71fd1fc 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.y.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.PhillipsPerron.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.PhillipsPerron.y - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.PhillipsPerron.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.alternative_hypothesis.html
index c21a1be8b6..baf6898d09 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.critical_values.html
index 57f607541d..3de6217abb 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.debiased.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.debiased.html
index e44bd6cd02..57fe8efb9a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.debiased.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.debiased.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.debiased - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.debiased - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.lags.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.lags.html
index 50e1e3c130..e604eb0421 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.nobs.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.nobs.html
index 769a4e6c6c..1825dd7000 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.nobs.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.null_hypothesis.html
index 74f29e215c..69f0de1278 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.overlap.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.overlap.html
index d03f55e6cd..4c7ff84474 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.overlap.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.overlap.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.overlap - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.overlap - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.pvalue.html
index abb8587a29..985cb73e41 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.robust.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.robust.html
index 5882460444..18827f45ca 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.robust.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.robust.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.robust - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.robust - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.stat.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.stat.html
index 24835b73ad..dd03dfd3b5 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.summary.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.summary.html
index 8a9890387e..abc7c41d2c 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.trend.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.trend.html
index 15445bfceb..c6ace31133 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.valid_trends.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.valid_trends.html
index f9bb805fc5..4833bb47e0 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.valid_trends.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.valid_trends.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.valid_trends - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.valid_trends - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.vr.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.vr.html
index 8eca896aca..ca7681af57 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.vr.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.vr.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.vr - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.vr - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.y.html b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.y.html
index b980fb4799..aa1bb93ae6 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.y.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.VarianceRatio.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.VarianceRatio.y - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.VarianceRatio.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.alternative_hypothesis.html
index 0101e0d146..80e05102af 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.critical_values.html
index 4e1c69ce9c..cb93d1e3a5 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.lags.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.lags.html
index bad1cba10d..b43c774f3b 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.nobs.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.nobs.html
index af6f9f8448..cd76ded7f7 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.nobs.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.null_hypothesis.html
index 9cfac5af69..8de1e681e0 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.pvalue.html
index f02d134c6b..f5da704b1a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.stat.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.stat.html
index ffca452d21..7f879e7314 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.summary.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.summary.html
index c16216b0b8..714dce3727 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.trend.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.trend.html
index 8dc0f67222..29933d175e 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.valid_trends.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.valid_trends.html
index dfd096705d..34bc8257ec 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.valid_trends.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.valid_trends.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.valid_trends - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.valid_trends - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.y.html b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.y.html
index 2838d22c56..30d2def74f 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.y.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.ZivotAndrews.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.ZivotAndrews.y - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.ZivotAndrews.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.fit.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.fit.html
index 9076bd19ce..f825ebbd97 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.fit.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CanonicalCointegratingReg.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CanonicalCointegratingReg.fit - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CanonicalCointegratingReg.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth.html
index 08e228af8a..ba66d017e1 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.cov.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.cov.html
index 63f32befe9..244db2a1a1 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.cov.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.cov - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.kernel.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.kernel.html
index 2eb97750e9..b1f32ca850 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.kernel.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.kernel.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.kernel - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.kernel - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance.html
index 1e9932ae29..5a138cbdd0 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.long_run_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.params.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.params.html
index 896f1ff872..de607b07a6 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.params.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.params - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues.html
index 816b5c1e1d..7a16021854 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.pvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.resid.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.resid.html
index fd406ee920..1c961c570b 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.resid.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.resid - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance.html
index 34c8970c8e..be09644fb5 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.residual_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared.html
index d430f0fbb9..c90e803c79 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj.html
index 0651d297c4..6fb08ff539 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.rsquared_adj - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors.html
index 43f8ed051b..e8aa17be99 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.std_errors - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.summary.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.summary.html
index 983849859b..d8ef1dfdf4 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues.html
index bd73b77994..caf19522cb 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.CointegrationAnalysisResults.tvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLS.fit.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLS.fit.html
index fc8e0a4baa..8f730c87d9 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLS.fit.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLS.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLS.fit - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLS.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.bandwidth.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.bandwidth.html
index be749f75e2..a4af92da38 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.bandwidth.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov.html
index b02aa14e6c..a8d4bd6141 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.cov - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov_type.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov_type.html
index 9162e81a8e..3cda5fbaed 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov_type.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.cov_type.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.cov_type - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.cov_type - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_cov.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_cov.html
index 835c6b51b6..e5f9f90cf1 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_cov.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.full_cov - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.full_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_params.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_params.html
index f84d353ecf..15fbd94838 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_params.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.full_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.full_params - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.full_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.kernel.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.kernel.html
index d427a29a7d..804ff184f8 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.kernel.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.kernel.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.kernel - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.kernel - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.lags.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.lags.html
index ee48c55982..82ba1b0db7 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.leads.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.leads.html
index d6f841542b..5ed93eb82a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.leads.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.leads.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.leads - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.leads - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.long_run_variance.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.long_run_variance.html
index 42b8edd947..cfaa157349 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.long_run_variance.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.long_run_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.long_run_variance - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.long_run_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.params.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.params.html
index bfc08c87f0..fc1a0bf635 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.params.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.params - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.pvalues.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.pvalues.html
index 5210c939cb..96c68d6f46 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.pvalues.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.pvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.pvalues - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.pvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.resid.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.resid.html
index bf0488a1eb..8c041f6326 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.resid.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.resid - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.residual_variance.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.residual_variance.html
index 2ecaf5ece3..dc523e527b 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.residual_variance.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.residual_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.residual_variance - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.residual_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared.html
index a011be654a..021aebed87 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.rsquared - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.rsquared - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj.html
index 342f4e60ee..363a29487d 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.rsquared_adj - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.std_errors.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.std_errors.html
index df35c28d1f..655aefc837 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.std_errors.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.std_errors.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.std_errors - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.std_errors - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.summary.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.summary.html
index 1623fa03a9..63e00fb58c 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.tvalues.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.tvalues.html
index 2e6d109089..73aca82d12 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.tvalues.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.DynamicOLSResults.tvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.DynamicOLSResults.tvalues - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.DynamicOLSResults.tvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis.html
index 52baa4aaa5..c919a89b7d 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector.html
index f21bf2a1f1..cb21335360 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.cointegrating_vector - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.critical_values.html
index 3b360ff299..27fdfd2554 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order.html
index 04b01b7fe7..c6e1c1725f 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.distribution_order - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.lags.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.lags.html
index 1e77c75436..6e577c436a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.max_lags.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.max_lags.html
index 1d3a4c55c3..e064d4d16f 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.max_lags.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.max_lags.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.max_lags - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.max_lags - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.name.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.name.html
index 5e9eaf22f5..ede7ba07ef 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.name.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.name - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis.html
index 1a81755f65..be58d3177b 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.plot.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.plot.html
index e9edf6a040..d0f5e63fe7 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.plot.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.plot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.plot - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.plot - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.pvalue.html
index 84c2387a43..7d0c4fbba0 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.resid.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.resid.html
index 4de622c9f3..768f965a4f 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.resid.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.resid - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.rho.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.rho.html
index 5574065cff..fa74ad3e22 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.rho.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.rho.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.rho - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.rho - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.stat.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.stat.html
index 23b253d4fd..00571c0780 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.summary.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.summary.html
index 6f68ec9e2e..ce5d07332a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.trend.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.trend.html
index ac99ae3b1a..fc5b1b39bd 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.EngleGrangerTestResults.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.EngleGrangerTestResults.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.EngleGrangerTestResults.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.FullyModifiedOLS.fit.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.FullyModifiedOLS.fit.html
index c93b2e5129..8e208df051 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.FullyModifiedOLS.fit.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.FullyModifiedOLS.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.FullyModifiedOLS.fit - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.FullyModifiedOLS.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis.html
index 20461e5144..0cbf111f64 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.alternative_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth.html
index b672ee2be1..dd92e8b732 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.bandwidth - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector.html
index 69980e3224..941dd46b5a 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.cointegrating_vector - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values.html
index 0f0e5a6b70..cbe7afe24d 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.critical_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order.html
index 08668f6004..809a4d82fc 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.distribution_order - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel.html
index 077585dafc..07432d21e3 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.kernel - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.name.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.name.html
index e9bab2053d..3cb1f07586 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.name.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.name - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis.html
index 0953d0dd1a..475ad69bb6 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.null_hypothesis - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot.html
index 7f11e53f09..b628a17501 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.plot - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue.html
index 2e581a35b4..0759a92013 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.pvalue - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid.html
index b0c4b6c851..c58bca581e 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat.html
index d83626e375..c6a695759d 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.stat - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary.html
index e86a6f3018..0aa780c0d5 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend.html b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend.html
index 88bb120fc2..39cc5328cd 100644
--- a/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend.html
+++ b/devel/unitroot/generated/generated/arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend - arch v7.1.1 (+16)</title>
+        <title>arch.unitroot.cointegration.PhillipsOuliarisTestResults.trend - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/introduction.html b/devel/unitroot/introduction.html
index 3cc866ddc2..02dd3d403e 100644
--- a/devel/unitroot/introduction.html
+++ b/devel/unitroot/introduction.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Introduction - arch v7.1.1 (+16)</title>
+        <title>Introduction - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/tests.html b/devel/unitroot/tests.html
index c418a53e9c..a5fba73bff 100644
--- a/devel/unitroot/tests.html
+++ b/devel/unitroot/tests.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>The Unit Root Tests - arch v7.1.1 (+16)</title>
+        <title>The Unit Root Tests - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/unitroot.html b/devel/unitroot/unitroot.html
index 9a9679fbbe..a970d541b2 100644
--- a/devel/unitroot/unitroot.html
+++ b/devel/unitroot/unitroot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Unit Root Testing - arch v7.1.1 (+16)</title>
+        <title>Unit Root Testing - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/unitroot_cointegration_examples.html b/devel/unitroot/unitroot_cointegration_examples.html
index 494b37f387..60b32a6e33 100644
--- a/devel/unitroot/unitroot_cointegration_examples.html
+++ b/devel/unitroot/unitroot_cointegration_examples.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Cointegration Testing - arch v7.1.1 (+16)</title>
+        <title>Cointegration Testing - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/unitroot/unitroot_cointegration_examples.ipynb b/devel/unitroot/unitroot_cointegration_examples.ipynb
index 632c1a497e..1264dfd2b5 100644
--- a/devel/unitroot/unitroot_cointegration_examples.ipynb
+++ b/devel/unitroot/unitroot_cointegration_examples.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:30.478358Z",
-     "iopub.status.busy": "2024-11-04T11:35:30.478024Z",
-     "iopub.status.idle": "2024-11-04T11:35:32.226515Z",
-     "shell.execute_reply": "2024-11-04T11:35:32.225691Z"
+     "iopub.execute_input": "2024-11-04T12:31:24.372373Z",
+     "iopub.status.busy": "2024-11-04T12:31:24.372088Z",
+     "iopub.status.idle": "2024-11-04T12:31:25.915932Z",
+     "shell.execute_reply": "2024-11-04T12:31:25.915084Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -58,10 +58,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:32.230751Z",
-     "iopub.status.busy": "2024-11-04T11:35:32.229646Z",
-     "iopub.status.idle": "2024-11-04T11:35:32.964223Z",
-     "shell.execute_reply": "2024-11-04T11:35:32.963430Z"
+     "iopub.execute_input": "2024-11-04T12:31:25.920983Z",
+     "iopub.status.busy": "2024-11-04T12:31:25.919793Z",
+     "iopub.status.idle": "2024-11-04T12:31:26.810255Z",
+     "shell.execute_reply": "2024-11-04T12:31:26.809362Z"
     }
    },
    "outputs": [
@@ -106,10 +106,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:32.998644Z",
-     "iopub.status.busy": "2024-11-04T11:35:32.998033Z",
-     "iopub.status.idle": "2024-11-04T11:35:33.015143Z",
-     "shell.execute_reply": "2024-11-04T11:35:33.014389Z"
+     "iopub.execute_input": "2024-11-04T12:31:26.869559Z",
+     "iopub.status.busy": "2024-11-04T12:31:26.869179Z",
+     "iopub.status.idle": "2024-11-04T12:31:26.892303Z",
+     "shell.execute_reply": "2024-11-04T12:31:26.891591Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -165,10 +165,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.017422Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.017160Z",
-     "iopub.status.idle": "2024-11-04T11:35:33.025567Z",
-     "shell.execute_reply": "2024-11-04T11:35:33.024931Z"
+     "iopub.execute_input": "2024-11-04T12:31:26.896282Z",
+     "iopub.status.busy": "2024-11-04T12:31:26.895328Z",
+     "iopub.status.idle": "2024-11-04T12:31:26.907521Z",
+     "shell.execute_reply": "2024-11-04T12:31:26.906841Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -250,10 +250,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.028015Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.027600Z",
-     "iopub.status.idle": "2024-11-04T11:35:33.036751Z",
-     "shell.execute_reply": "2024-11-04T11:35:33.036217Z"
+     "iopub.execute_input": "2024-11-04T12:31:26.911523Z",
+     "iopub.status.busy": "2024-11-04T12:31:26.910550Z",
+     "iopub.status.idle": "2024-11-04T12:31:26.924012Z",
+     "shell.execute_reply": "2024-11-04T12:31:26.923348Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -288,7 +288,7 @@
        "Trend: c\n",
        "Estimated Root ρ (γ+1): 0.9386946007157646\n",
        "Distribution Order: 1\n",
-       "ID: 0x7f2a7f74a530"
+       "ID: 0x7fd0370d6530"
       ]
      },
      "execution_count": 5,
@@ -315,10 +315,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.038971Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.038743Z",
-     "iopub.status.idle": "2024-11-04T11:35:33.709480Z",
-     "shell.execute_reply": "2024-11-04T11:35:33.708593Z"
+     "iopub.execute_input": "2024-11-04T12:31:26.928032Z",
+     "iopub.status.busy": "2024-11-04T12:31:26.927038Z",
+     "iopub.status.idle": "2024-11-04T12:31:27.534659Z",
+     "shell.execute_reply": "2024-11-04T12:31:27.533822Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -352,10 +352,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.714277Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.713113Z",
-     "iopub.status.idle": "2024-11-04T11:35:33.723326Z",
-     "shell.execute_reply": "2024-11-04T11:35:33.722576Z"
+     "iopub.execute_input": "2024-11-04T12:31:27.539100Z",
+     "iopub.status.busy": "2024-11-04T12:31:27.538050Z",
+     "iopub.status.idle": "2024-11-04T12:31:27.547398Z",
+     "shell.execute_reply": "2024-11-04T12:31:27.546708Z"
     }
    },
    "outputs": [
@@ -388,10 +388,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.727617Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.726557Z",
-     "iopub.status.idle": "2024-11-04T11:35:33.743391Z",
-     "shell.execute_reply": "2024-11-04T11:35:33.742576Z"
+     "iopub.execute_input": "2024-11-04T12:31:27.550237Z",
+     "iopub.status.busy": "2024-11-04T12:31:27.549971Z",
+     "iopub.status.idle": "2024-11-04T12:31:27.565165Z",
+     "shell.execute_reply": "2024-11-04T12:31:27.564472Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -426,7 +426,7 @@
        "Trend: c\n",
        "Estimated Root ρ (γ+1): 0.8400729995315472\n",
        "Distribution Order: 1\n",
-       "ID: 0x7f2a82071fc0"
+       "ID: 0x7fd037049cc0"
       ]
      },
      "execution_count": 8,
@@ -444,10 +444,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.747884Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.746790Z",
-     "iopub.status.idle": "2024-11-04T11:35:33.756396Z",
-     "shell.execute_reply": "2024-11-04T11:35:33.755667Z"
+     "iopub.execute_input": "2024-11-04T12:31:27.569119Z",
+     "iopub.status.busy": "2024-11-04T12:31:27.567968Z",
+     "iopub.status.idle": "2024-11-04T12:31:27.576614Z",
+     "shell.execute_reply": "2024-11-04T12:31:27.575948Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -485,10 +485,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.760655Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.759612Z",
-     "iopub.status.idle": "2024-11-04T11:35:34.491080Z",
-     "shell.execute_reply": "2024-11-04T11:35:34.490305Z"
+     "iopub.execute_input": "2024-11-04T12:31:27.580372Z",
+     "iopub.status.busy": "2024-11-04T12:31:27.579430Z",
+     "iopub.status.idle": "2024-11-04T12:31:28.252116Z",
+     "shell.execute_reply": "2024-11-04T12:31:28.251355Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -522,10 +522,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:34.495270Z",
-     "iopub.status.busy": "2024-11-04T11:35:34.494252Z",
-     "iopub.status.idle": "2024-11-04T11:35:34.510590Z",
-     "shell.execute_reply": "2024-11-04T11:35:34.509875Z"
+     "iopub.execute_input": "2024-11-04T12:31:28.255547Z",
+     "iopub.status.busy": "2024-11-04T12:31:28.255260Z",
+     "iopub.status.idle": "2024-11-04T12:31:28.283601Z",
+     "shell.execute_reply": "2024-11-04T12:31:28.282832Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -560,7 +560,7 @@
        "Trend: c\n",
        "Estimated Root ρ (γ+1): 0.8246009342909097\n",
        "Distribution Order: 1\n",
-       "ID: 0x7f2a81f1e0e0"
+       "ID: 0x7fd036efe020"
       ]
      },
      "execution_count": 11,
@@ -585,10 +585,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:34.514704Z",
-     "iopub.status.busy": "2024-11-04T11:35:34.513711Z",
-     "iopub.status.idle": "2024-11-04T11:35:35.035371Z",
-     "shell.execute_reply": "2024-11-04T11:35:35.034518Z"
+     "iopub.execute_input": "2024-11-04T12:31:28.287261Z",
+     "iopub.status.busy": "2024-11-04T12:31:28.286786Z",
+     "iopub.status.idle": "2024-11-04T12:31:28.765210Z",
+     "shell.execute_reply": "2024-11-04T12:31:28.764557Z"
     },
     "pycharm": {
      "name": "#%%\n"
@@ -635,10 +635,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:35.039979Z",
-     "iopub.status.busy": "2024-11-04T11:35:35.038680Z",
-     "iopub.status.idle": "2024-11-04T11:35:37.224134Z",
-     "shell.execute_reply": "2024-11-04T11:35:37.223434Z"
+     "iopub.execute_input": "2024-11-04T12:31:28.768701Z",
+     "iopub.status.busy": "2024-11-04T12:31:28.767866Z",
+     "iopub.status.idle": "2024-11-04T12:31:30.806908Z",
+     "shell.execute_reply": "2024-11-04T12:31:30.806119Z"
     }
    },
    "outputs": [
@@ -718,10 +718,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:37.228036Z",
-     "iopub.status.busy": "2024-11-04T11:35:37.227052Z",
-     "iopub.status.idle": "2024-11-04T11:35:37.252694Z",
-     "shell.execute_reply": "2024-11-04T11:35:37.251820Z"
+     "iopub.execute_input": "2024-11-04T12:31:30.811053Z",
+     "iopub.status.busy": "2024-11-04T12:31:30.810020Z",
+     "iopub.status.idle": "2024-11-04T12:31:30.826557Z",
+     "shell.execute_reply": "2024-11-04T12:31:30.825781Z"
     }
    },
    "outputs": [
@@ -806,10 +806,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:37.257535Z",
-     "iopub.status.busy": "2024-11-04T11:35:37.256299Z",
-     "iopub.status.idle": "2024-11-04T11:35:37.276901Z",
-     "shell.execute_reply": "2024-11-04T11:35:37.276013Z"
+     "iopub.execute_input": "2024-11-04T12:31:30.830820Z",
+     "iopub.status.busy": "2024-11-04T12:31:30.829756Z",
+     "iopub.status.idle": "2024-11-04T12:31:30.847481Z",
+     "shell.execute_reply": "2024-11-04T12:31:30.846736Z"
     }
    },
    "outputs": [
@@ -887,10 +887,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:37.281760Z",
-     "iopub.status.busy": "2024-11-04T11:35:37.280553Z",
-     "iopub.status.idle": "2024-11-04T11:35:37.300959Z",
-     "shell.execute_reply": "2024-11-04T11:35:37.300100Z"
+     "iopub.execute_input": "2024-11-04T12:31:30.851558Z",
+     "iopub.status.busy": "2024-11-04T12:31:30.850578Z",
+     "iopub.status.idle": "2024-11-04T12:31:30.869349Z",
+     "shell.execute_reply": "2024-11-04T12:31:30.868646Z"
     }
    },
    "outputs": [
@@ -975,10 +975,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:37.305803Z",
-     "iopub.status.busy": "2024-11-04T11:35:37.304622Z",
-     "iopub.status.idle": "2024-11-04T11:35:37.992247Z",
-     "shell.execute_reply": "2024-11-04T11:35:37.991403Z"
+     "iopub.execute_input": "2024-11-04T12:31:30.873283Z",
+     "iopub.status.busy": "2024-11-04T12:31:30.872341Z",
+     "iopub.status.idle": "2024-11-04T12:31:31.618866Z",
+     "shell.execute_reply": "2024-11-04T12:31:31.617941Z"
     }
    },
    "outputs": [
diff --git a/devel/unitroot/unitroot_examples.html b/devel/unitroot/unitroot_examples.html
index d373217c13..cc6e19641a 100644
--- a/devel/unitroot/unitroot_examples.html
+++ b/devel/unitroot/unitroot_examples.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Unit Root Testing - arch v7.1.1 (+16)</title>
+        <title>Unit Root Testing - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
@@ -833,7 +833,7 @@ <h3 id="Regression-output">Regression output<a class="headerlink" href="#Regress
 Model:                            OLS   Adj. R-squared:                  0.090
 Method:                 Least Squares   F-statistic:                     17.83
 Date:                Mon, 04 Nov 2024   Prob (F-statistic):           1.30e-22
-Time:                        11:37:14   Log-Likelihood:                 630.15
+Time:                        12:33:10   Log-Likelihood:                 630.15
 No. Observations:                1194   AIC:                            -1244.
 Df Residuals:                    1186   BIC:                            -1204.
 Df Model:                           7
diff --git a/devel/unitroot/unitroot_examples.ipynb b/devel/unitroot/unitroot_examples.ipynb
index f50f9283e2..b94938fe9d 100644
--- a/devel/unitroot/unitroot_examples.ipynb
+++ b/devel/unitroot/unitroot_examples.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:41.185055Z",
-     "iopub.status.busy": "2024-11-04T11:35:41.184775Z",
-     "iopub.status.idle": "2024-11-04T11:35:42.849926Z",
-     "shell.execute_reply": "2024-11-04T11:35:42.849053Z"
+     "iopub.execute_input": "2024-11-04T12:31:34.553899Z",
+     "iopub.status.busy": "2024-11-04T12:31:34.553633Z",
+     "iopub.status.idle": "2024-11-04T12:31:36.237866Z",
+     "shell.execute_reply": "2024-11-04T12:31:36.236957Z"
     }
    },
    "outputs": [],
@@ -60,10 +60,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:42.854430Z",
-     "iopub.status.busy": "2024-11-04T11:35:42.853219Z",
-     "iopub.status.idle": "2024-11-04T11:35:43.876094Z",
-     "shell.execute_reply": "2024-11-04T11:35:43.875264Z"
+     "iopub.execute_input": "2024-11-04T12:31:36.241742Z",
+     "iopub.status.busy": "2024-11-04T12:31:36.241307Z",
+     "iopub.status.idle": "2024-11-04T12:31:37.285634Z",
+     "shell.execute_reply": "2024-11-04T12:31:37.284733Z"
     }
    },
    "outputs": [
@@ -103,10 +103,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:43.881001Z",
-     "iopub.status.busy": "2024-11-04T11:35:43.879595Z",
-     "iopub.status.idle": "2024-11-04T11:35:44.496903Z",
-     "shell.execute_reply": "2024-11-04T11:35:44.496106Z"
+     "iopub.execute_input": "2024-11-04T12:31:37.289941Z",
+     "iopub.status.busy": "2024-11-04T12:31:37.289127Z",
+     "iopub.status.idle": "2024-11-04T12:31:37.997021Z",
+     "shell.execute_reply": "2024-11-04T12:31:37.995960Z"
     }
    },
    "outputs": [
@@ -149,10 +149,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:44.501405Z",
-     "iopub.status.busy": "2024-11-04T11:35:44.500321Z",
-     "iopub.status.idle": "2024-11-04T11:35:45.844998Z",
-     "shell.execute_reply": "2024-11-04T11:35:45.844263Z"
+     "iopub.execute_input": "2024-11-04T12:31:38.002858Z",
+     "iopub.status.busy": "2024-11-04T12:31:38.001463Z",
+     "iopub.status.idle": "2024-11-04T12:31:39.348472Z",
+     "shell.execute_reply": "2024-11-04T12:31:39.347489Z"
     }
    },
    "outputs": [
@@ -202,10 +202,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:45.849024Z",
-     "iopub.status.busy": "2024-11-04T11:35:45.848109Z",
-     "iopub.status.idle": "2024-11-04T11:35:45.866183Z",
-     "shell.execute_reply": "2024-11-04T11:35:45.865424Z"
+     "iopub.execute_input": "2024-11-04T12:31:39.352254Z",
+     "iopub.status.busy": "2024-11-04T12:31:39.351728Z",
+     "iopub.status.idle": "2024-11-04T12:31:39.367989Z",
+     "shell.execute_reply": "2024-11-04T12:31:39.367322Z"
     }
    },
    "outputs": [
@@ -258,10 +258,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:45.870001Z",
-     "iopub.status.busy": "2024-11-04T11:35:45.869070Z",
-     "iopub.status.idle": "2024-11-04T11:35:45.877922Z",
-     "shell.execute_reply": "2024-11-04T11:35:45.877325Z"
+     "iopub.execute_input": "2024-11-04T12:31:39.371208Z",
+     "iopub.status.busy": "2024-11-04T12:31:39.370941Z",
+     "iopub.status.idle": "2024-11-04T12:31:39.431169Z",
+     "shell.execute_reply": "2024-11-04T12:31:39.430483Z"
     }
    },
    "outputs": [
@@ -307,10 +307,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:45.881320Z",
-     "iopub.status.busy": "2024-11-04T11:35:45.880473Z",
-     "iopub.status.idle": "2024-11-04T11:35:45.914094Z",
-     "shell.execute_reply": "2024-11-04T11:35:45.913416Z"
+     "iopub.execute_input": "2024-11-04T12:31:39.435219Z",
+     "iopub.status.busy": "2024-11-04T12:31:39.434236Z",
+     "iopub.status.idle": "2024-11-04T12:31:39.450119Z",
+     "shell.execute_reply": "2024-11-04T12:31:39.449452Z"
     }
    },
    "outputs": [
@@ -324,7 +324,7 @@
       "Model:                            OLS   Adj. R-squared:                  0.090\n",
       "Method:                 Least Squares   F-statistic:                     17.83\n",
       "Date:                Mon, 04 Nov 2024   Prob (F-statistic):           1.30e-22\n",
-      "Time:                        11:35:45   Log-Likelihood:                 630.15\n",
+      "Time:                        12:31:39   Log-Likelihood:                 630.15\n",
       "No. Observations:                1194   AIC:                            -1244.\n",
       "Df Residuals:                    1186   BIC:                            -1204.\n",
       "Df Model:                           7                                         \n",
@@ -364,10 +364,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:45.917746Z",
-     "iopub.status.busy": "2024-11-04T11:35:45.916865Z",
-     "iopub.status.idle": "2024-11-04T11:35:46.272118Z",
-     "shell.execute_reply": "2024-11-04T11:35:46.271271Z"
+     "iopub.execute_input": "2024-11-04T12:31:39.453204Z",
+     "iopub.status.busy": "2024-11-04T12:31:39.452945Z",
+     "iopub.status.idle": "2024-11-04T12:31:39.915507Z",
+     "shell.execute_reply": "2024-11-04T12:31:39.914573Z"
     }
    },
    "outputs": [
@@ -404,10 +404,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:46.276503Z",
-     "iopub.status.busy": "2024-11-04T11:35:46.275443Z",
-     "iopub.status.idle": "2024-11-04T11:35:46.896176Z",
-     "shell.execute_reply": "2024-11-04T11:35:46.895152Z"
+     "iopub.execute_input": "2024-11-04T12:31:39.920691Z",
+     "iopub.status.busy": "2024-11-04T12:31:39.919436Z",
+     "iopub.status.idle": "2024-11-04T12:31:40.465144Z",
+     "shell.execute_reply": "2024-11-04T12:31:40.464304Z"
     }
    },
    "outputs": [
@@ -448,10 +448,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:46.901567Z",
-     "iopub.status.busy": "2024-11-04T11:35:46.900227Z",
-     "iopub.status.idle": "2024-11-04T11:35:47.583637Z",
-     "shell.execute_reply": "2024-11-04T11:35:47.582562Z"
+     "iopub.execute_input": "2024-11-04T12:31:40.469715Z",
+     "iopub.status.busy": "2024-11-04T12:31:40.468648Z",
+     "iopub.status.idle": "2024-11-04T12:31:41.813976Z",
+     "shell.execute_reply": "2024-11-04T12:31:41.813288Z"
     }
    },
    "outputs": [
@@ -492,10 +492,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:47.587677Z",
-     "iopub.status.busy": "2024-11-04T11:35:47.587069Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.282382Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.281428Z"
+     "iopub.execute_input": "2024-11-04T12:31:41.817893Z",
+     "iopub.status.busy": "2024-11-04T12:31:41.816938Z",
+     "iopub.status.idle": "2024-11-04T12:31:41.897942Z",
+     "shell.execute_reply": "2024-11-04T12:31:41.897251Z"
     }
    },
    "outputs": [
@@ -543,10 +543,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.285959Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.285415Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.307321Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.306387Z"
+     "iopub.execute_input": "2024-11-04T12:31:41.900771Z",
+     "iopub.status.busy": "2024-11-04T12:31:41.900491Z",
+     "iopub.status.idle": "2024-11-04T12:31:41.926215Z",
+     "shell.execute_reply": "2024-11-04T12:31:41.925258Z"
     }
    },
    "outputs": [
@@ -587,10 +587,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.310728Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.310262Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.327090Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.326283Z"
+     "iopub.execute_input": "2024-11-04T12:31:41.929325Z",
+     "iopub.status.busy": "2024-11-04T12:31:41.928832Z",
+     "iopub.status.idle": "2024-11-04T12:31:41.948713Z",
+     "shell.execute_reply": "2024-11-04T12:31:41.947924Z"
     }
    },
    "outputs": [
@@ -629,10 +629,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.330539Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.329999Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.347320Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.346482Z"
+     "iopub.execute_input": "2024-11-04T12:31:41.951890Z",
+     "iopub.status.busy": "2024-11-04T12:31:41.951385Z",
+     "iopub.status.idle": "2024-11-04T12:31:41.972331Z",
+     "shell.execute_reply": "2024-11-04T12:31:41.971442Z"
     }
    },
    "outputs": [
@@ -671,10 +671,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.350481Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.350035Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.370359Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.369418Z"
+     "iopub.execute_input": "2024-11-04T12:31:41.975733Z",
+     "iopub.status.busy": "2024-11-04T12:31:41.975200Z",
+     "iopub.status.idle": "2024-11-04T12:31:41.993633Z",
+     "shell.execute_reply": "2024-11-04T12:31:41.992916Z"
     }
    },
    "outputs": [
@@ -722,10 +722,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.373856Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.373414Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.380292Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.379446Z"
+     "iopub.execute_input": "2024-11-04T12:31:42.002664Z",
+     "iopub.status.busy": "2024-11-04T12:31:41.996053Z",
+     "iopub.status.idle": "2024-11-04T12:31:42.008947Z",
+     "shell.execute_reply": "2024-11-04T12:31:42.008131Z"
     }
    },
    "outputs": [
@@ -766,10 +766,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.383955Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.383648Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.392097Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.391245Z"
+     "iopub.execute_input": "2024-11-04T12:31:42.011932Z",
+     "iopub.status.busy": "2024-11-04T12:31:42.011606Z",
+     "iopub.status.idle": "2024-11-04T12:31:42.019085Z",
+     "shell.execute_reply": "2024-11-04T12:31:42.018304Z"
     }
    },
    "outputs": [
@@ -810,10 +810,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.396671Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.395575Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.580826Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.579908Z"
+     "iopub.execute_input": "2024-11-04T12:31:42.021808Z",
+     "iopub.status.busy": "2024-11-04T12:31:42.021394Z",
+     "iopub.status.idle": "2024-11-04T12:31:42.355153Z",
+     "shell.execute_reply": "2024-11-04T12:31:42.354273Z"
     }
    },
    "outputs": [
@@ -861,10 +861,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.585683Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.584531Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.610601Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.609706Z"
+     "iopub.execute_input": "2024-11-04T12:31:42.360009Z",
+     "iopub.status.busy": "2024-11-04T12:31:42.358519Z",
+     "iopub.status.idle": "2024-11-04T12:31:42.385253Z",
+     "shell.execute_reply": "2024-11-04T12:31:42.384351Z"
     }
    },
    "outputs": [
@@ -908,10 +908,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.615338Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.614199Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.634222Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.633030Z"
+     "iopub.execute_input": "2024-11-04T12:31:42.390495Z",
+     "iopub.status.busy": "2024-11-04T12:31:42.388934Z",
+     "iopub.status.idle": "2024-11-04T12:31:42.398772Z",
+     "shell.execute_reply": "2024-11-04T12:31:42.397890Z"
     }
    },
    "outputs": [
@@ -949,10 +949,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:48.639624Z",
-     "iopub.status.busy": "2024-11-04T11:35:48.638406Z",
-     "iopub.status.idle": "2024-11-04T11:35:48.649926Z",
-     "shell.execute_reply": "2024-11-04T11:35:48.649002Z"
+     "iopub.execute_input": "2024-11-04T12:31:42.403705Z",
+     "iopub.status.busy": "2024-11-04T12:31:42.402137Z",
+     "iopub.status.idle": "2024-11-04T12:31:42.413877Z",
+     "shell.execute_reply": "2024-11-04T12:31:42.413053Z"
     }
    },
    "outputs": [
diff --git a/devel/univariate/background.html b/devel/univariate/background.html
index a35be24a1f..16775af0c3 100644
--- a/devel/univariate/background.html
+++ b/devel/univariate/background.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Theoretical Background - arch v7.1.1 (+16)</title>
+        <title>Theoretical Background - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/distribution.html b/devel/univariate/distribution.html
index 3ca3c7035d..2dada21b42 100644
--- a/devel/univariate/distribution.html
+++ b/devel/univariate/distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Distributions - arch v7.1.1 (+16)</title>
+        <title>Distributions - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/forecasting.html b/devel/univariate/forecasting.html
index 3df0dbac29..fcce4c73d7 100644
--- a/devel/univariate/forecasting.html
+++ b/devel/univariate/forecasting.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Forecasting - arch v7.1.1 (+16)</title>
+        <title>Forecasting - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.APARCH.html b/devel/univariate/generated/arch.univariate.APARCH.html
index 6deb3f0c09..c75d01a4e4 100644
--- a/devel/univariate/generated/arch.univariate.APARCH.html
+++ b/devel/univariate/generated/arch.univariate.APARCH.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.ARCH.html b/devel/univariate/generated/arch.univariate.ARCH.html
index cb99adde42..c41661eee4 100644
--- a/devel/univariate/generated/arch.univariate.ARCH.html
+++ b/devel/univariate/generated/arch.univariate.ARCH.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.ARCHInMean.html b/devel/univariate/generated/arch.univariate.ARCHInMean.html
index 66c9756f6f..e2422905f2 100644
--- a/devel/univariate/generated/arch.univariate.ARCHInMean.html
+++ b/devel/univariate/generated/arch.univariate.ARCHInMean.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.ARX.html b/devel/univariate/generated/arch.univariate.ARX.html
index e4efcad508..9d8480d119 100644
--- a/devel/univariate/generated/arch.univariate.ARX.html
+++ b/devel/univariate/generated/arch.univariate.ARX.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.ConstantMean.html b/devel/univariate/generated/arch.univariate.ConstantMean.html
index a229ac5f12..2d7a4b7388 100644
--- a/devel/univariate/generated/arch.univariate.ConstantMean.html
+++ b/devel/univariate/generated/arch.univariate.ConstantMean.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.ConstantVariance.html b/devel/univariate/generated/arch.univariate.ConstantVariance.html
index 8c883a7ac0..b29ff64504 100644
--- a/devel/univariate/generated/arch.univariate.ConstantVariance.html
+++ b/devel/univariate/generated/arch.univariate.ConstantVariance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.EGARCH.html b/devel/univariate/generated/arch.univariate.EGARCH.html
index dab6c492a6..7c2c2a4c3a 100644
--- a/devel/univariate/generated/arch.univariate.EGARCH.html
+++ b/devel/univariate/generated/arch.univariate.EGARCH.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.EWMAVariance.html b/devel/univariate/generated/arch.univariate.EWMAVariance.html
index 4f1047a1d7..0c9a667b87 100644
--- a/devel/univariate/generated/arch.univariate.EWMAVariance.html
+++ b/devel/univariate/generated/arch.univariate.EWMAVariance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.FIGARCH.html b/devel/univariate/generated/arch.univariate.FIGARCH.html
index 97029d3ea1..f0f0397cbf 100644
--- a/devel/univariate/generated/arch.univariate.FIGARCH.html
+++ b/devel/univariate/generated/arch.univariate.FIGARCH.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.FixedVariance.html b/devel/univariate/generated/arch.univariate.FixedVariance.html
index 68ab28f4a6..1f20020953 100644
--- a/devel/univariate/generated/arch.univariate.FixedVariance.html
+++ b/devel/univariate/generated/arch.univariate.FixedVariance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.GARCH.html b/devel/univariate/generated/arch.univariate.GARCH.html
index 83ce510e04..f9a221ae31 100644
--- a/devel/univariate/generated/arch.univariate.GARCH.html
+++ b/devel/univariate/generated/arch.univariate.GARCH.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.GeneralizedError.html b/devel/univariate/generated/arch.univariate.GeneralizedError.html
index 7cd3390518..597ce69e0d 100644
--- a/devel/univariate/generated/arch.univariate.GeneralizedError.html
+++ b/devel/univariate/generated/arch.univariate.GeneralizedError.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.HARCH.html b/devel/univariate/generated/arch.univariate.HARCH.html
index 333ca0e5be..972ebe5e8a 100644
--- a/devel/univariate/generated/arch.univariate.HARCH.html
+++ b/devel/univariate/generated/arch.univariate.HARCH.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.HARX.html b/devel/univariate/generated/arch.univariate.HARX.html
index 2337be8560..6ad640bdb2 100644
--- a/devel/univariate/generated/arch.univariate.HARX.html
+++ b/devel/univariate/generated/arch.univariate.HARX.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.LS.html b/devel/univariate/generated/arch.univariate.LS.html
index 4668937e87..7dff49a213 100644
--- a/devel/univariate/generated/arch.univariate.LS.html
+++ b/devel/univariate/generated/arch.univariate.LS.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.MIDASHyperbolic.html b/devel/univariate/generated/arch.univariate.MIDASHyperbolic.html
index cb067b82f2..aa4d3667d8 100644
--- a/devel/univariate/generated/arch.univariate.MIDASHyperbolic.html
+++ b/devel/univariate/generated/arch.univariate.MIDASHyperbolic.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.Normal.html b/devel/univariate/generated/arch.univariate.Normal.html
index bf05eef003..10915c29e0 100644
--- a/devel/univariate/generated/arch.univariate.Normal.html
+++ b/devel/univariate/generated/arch.univariate.Normal.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.RiskMetrics2006.html b/devel/univariate/generated/arch.univariate.RiskMetrics2006.html
index a6563dadce..da6a3321bd 100644
--- a/devel/univariate/generated/arch.univariate.RiskMetrics2006.html
+++ b/devel/univariate/generated/arch.univariate.RiskMetrics2006.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006 - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006 - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.SkewStudent.html b/devel/univariate/generated/arch.univariate.SkewStudent.html
index 78d29ae8b8..3cf0dd02ad 100644
--- a/devel/univariate/generated/arch.univariate.SkewStudent.html
+++ b/devel/univariate/generated/arch.univariate.SkewStudent.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.StudentsT.html b/devel/univariate/generated/arch.univariate.StudentsT.html
index 5852c15ec3..d0f2b20e1a 100644
--- a/devel/univariate/generated/arch.univariate.StudentsT.html
+++ b/devel/univariate/generated/arch.univariate.StudentsT.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.ZeroMean.html b/devel/univariate/generated/arch.univariate.ZeroMean.html
index dc5bb93c0d..5f77fecc2c 100644
--- a/devel/univariate/generated/arch.univariate.ZeroMean.html
+++ b/devel/univariate/generated/arch.univariate.ZeroMean.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.base.ARCHModel.html b/devel/univariate/generated/arch.univariate.base.ARCHModel.html
index db006e2295..69aa970456 100644
--- a/devel/univariate/generated/arch.univariate.base.ARCHModel.html
+++ b/devel/univariate/generated/arch.univariate.base.ARCHModel.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.base.ARCHModelFixedResult.html b/devel/univariate/generated/arch.univariate.base.ARCHModelFixedResult.html
index ce3574df55..7a3770d164 100644
--- a/devel/univariate/generated/arch.univariate.base.ARCHModelFixedResult.html
+++ b/devel/univariate/generated/arch.univariate.base.ARCHModelFixedResult.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.base.ARCHModelForecast.html b/devel/univariate/generated/arch.univariate.base.ARCHModelForecast.html
index a1d57abec6..c87a134c16 100644
--- a/devel/univariate/generated/arch.univariate.base.ARCHModelForecast.html
+++ b/devel/univariate/generated/arch.univariate.base.ARCHModelForecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.base.ARCHModelForecastSimulation.html b/devel/univariate/generated/arch.univariate.base.ARCHModelForecastSimulation.html
index 7ce3960de5..f7117ce154 100644
--- a/devel/univariate/generated/arch.univariate.base.ARCHModelForecastSimulation.html
+++ b/devel/univariate/generated/arch.univariate.base.ARCHModelForecastSimulation.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecastSimulation - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecastSimulation - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.base.ARCHModelResult.html b/devel/univariate/generated/arch.univariate.base.ARCHModelResult.html
index 6313c1b284..49c1906e30 100644
--- a/devel/univariate/generated/arch.univariate.base.ARCHModelResult.html
+++ b/devel/univariate/generated/arch.univariate.base.ARCHModelResult.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.distribution.Distribution.html b/devel/univariate/generated/arch.univariate.distribution.Distribution.html
index e31c2a3a3f..c389df0956 100644
--- a/devel/univariate/generated/arch.univariate.distribution.Distribution.html
+++ b/devel/univariate/generated/arch.univariate.distribution.Distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.recursions.VolatilityUpdater.html b/devel/univariate/generated/arch.univariate.recursions.VolatilityUpdater.html
index 58921b6437..0534931287 100644
--- a/devel/univariate/generated/arch.univariate.recursions.VolatilityUpdater.html
+++ b/devel/univariate/generated/arch.univariate.recursions.VolatilityUpdater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.recursions.VolatilityUpdater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.recursions.VolatilityUpdater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.volatility.VarianceForecast.html b/devel/univariate/generated/arch.univariate.volatility.VarianceForecast.html
index 868d1d7e96..dde7cb691f 100644
--- a/devel/univariate/generated/arch.univariate.volatility.VarianceForecast.html
+++ b/devel/univariate/generated/arch.univariate.volatility.VarianceForecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VarianceForecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VarianceForecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/arch.univariate.volatility.VolatilityProcess.html b/devel/univariate/generated/arch.univariate.volatility.VolatilityProcess.html
index 9dd09a6163..0151bb1c99 100644
--- a/devel/univariate/generated/arch.univariate.volatility.VolatilityProcess.html
+++ b/devel/univariate/generated/arch.univariate.volatility.VolatilityProcess.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.backcast.html b/devel/univariate/generated/generated/arch.univariate.APARCH.backcast.html
index 360a10b2eb..f339782b73 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.APARCH.backcast_transform.html
index 7276f7aea9..04190492e4 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.bounds.html b/devel/univariate/generated/generated/arch.univariate.APARCH.bounds.html
index 9555ebb4e8..a90db5630c 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.common_asym.html b/devel/univariate/generated/generated/arch.univariate.APARCH.common_asym.html
index 27431146ec..1689c9d510 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.common_asym.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.common_asym.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.common_asym - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.common_asym - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.APARCH.compute_variance.html
index 3c70ee87cc..80d975f3b3 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.constraints.html b/devel/univariate/generated/generated/arch.univariate.APARCH.constraints.html
index 24176ad79e..3665a81b38 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.delta.html b/devel/univariate/generated/generated/arch.univariate.APARCH.delta.html
index e87ccac86f..9a98c37beb 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.delta.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.delta.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.delta - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.delta - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.forecast.html b/devel/univariate/generated/generated/arch.univariate.APARCH.forecast.html
index d5492df003..e792fde63a 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.name.html b/devel/univariate/generated/generated/arch.univariate.APARCH.name.html
index 5c61a14780..915913064f 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.num_params.html b/devel/univariate/generated/generated/arch.univariate.APARCH.num_params.html
index cfe080918f..0b95610d9d 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.APARCH.parameter_names.html
index e893c56ecc..e41c722bfe 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.simulate.html b/devel/univariate/generated/generated/arch.univariate.APARCH.simulate.html
index a92dbb6f8b..024536b634 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.start.html b/devel/univariate/generated/generated/arch.univariate.APARCH.start.html
index b499ea3d9f..ebccfbc84a 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.starting_values.html b/devel/univariate/generated/generated/arch.univariate.APARCH.starting_values.html
index bcf8c5b232..28bffcf1b3 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.stop.html b/devel/univariate/generated/generated/arch.univariate.APARCH.stop.html
index 086a7ef1b6..7dbb19138c 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.update.html b/devel/univariate/generated/generated/arch.univariate.APARCH.update.html
index e8a17b837c..5ebe8c2dce 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.updateable.html b/devel/univariate/generated/generated/arch.univariate.APARCH.updateable.html
index ab9107263f..f528c12a84 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.APARCH.variance_bounds.html
index 1d3ab111d3..c1def5a367 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.APARCH.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.APARCH.volatility_updater.html
index 8052363c3e..81c4368b2c 100644
--- a/devel/univariate/generated/generated/arch.univariate.APARCH.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.APARCH.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.APARCH.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.APARCH.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.backcast.html b/devel/univariate/generated/generated/arch.univariate.ARCH.backcast.html
index a1fcce4ed5..5cd7680807 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.ARCH.backcast_transform.html
index 0c8e5dbd85..8a359df3ad 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.bounds.html b/devel/univariate/generated/generated/arch.univariate.ARCH.bounds.html
index 141aa16a60..628ade5419 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.ARCH.compute_variance.html
index 4ec5ac57a1..88c08ef72e 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.constraints.html b/devel/univariate/generated/generated/arch.univariate.ARCH.constraints.html
index e8b8028032..4e1dcd686d 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.forecast.html b/devel/univariate/generated/generated/arch.univariate.ARCH.forecast.html
index 6704bfbeb4..7430575416 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.name.html b/devel/univariate/generated/generated/arch.univariate.ARCH.name.html
index 22607766d8..d5201b67d6 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.num_params.html b/devel/univariate/generated/generated/arch.univariate.ARCH.num_params.html
index c566a17d7e..07537f0f08 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.ARCH.parameter_names.html
index 9d9e6c68d5..59083c9606 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.simulate.html b/devel/univariate/generated/generated/arch.univariate.ARCH.simulate.html
index d7570ad484..68cb216544 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.start.html b/devel/univariate/generated/generated/arch.univariate.ARCH.start.html
index 238e44b61b..c7a8fc537f 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.starting_values.html b/devel/univariate/generated/generated/arch.univariate.ARCH.starting_values.html
index d7eab72613..810b399d8f 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.stop.html b/devel/univariate/generated/generated/arch.univariate.ARCH.stop.html
index b56b3229bf..213c4a44af 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.update.html b/devel/univariate/generated/generated/arch.univariate.ARCH.update.html
index c255fcbe26..583694652f 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.updateable.html b/devel/univariate/generated/generated/arch.univariate.ARCH.updateable.html
index 812ef142c0..81d5ef01fa 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.ARCH.variance_bounds.html
index ec2edc6a2b..21c868bace 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCH.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.ARCH.volatility_updater.html
index ba1b3cfbbc..f337789166 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCH.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCH.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCH.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCH.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.bounds.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.bounds.html
index f032cb3128..1f4dcdd70d 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.compute_param_cov.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.compute_param_cov.html
index 636dcd30a5..128e139b4d 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.compute_param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.compute_param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.compute_param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.compute_param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.constraints.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.constraints.html
index 2639b1028f..36881f308f 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.distribution.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.distribution.html
index 064d9713fe..681979f2ff 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.distribution.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fit.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fit.html
index 0cdcd0dc20..efbc7a9a21 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fit.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.fit - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fix.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fix.html
index a8dab0b010..0620088d5c 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fix.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.fix.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.fix - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.fix - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.forecast.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.forecast.html
index b96fb990dc..8c2df7a30f 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.form.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.form.html
index 8ee69d7a00..e243903717 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.form.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.form.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.form - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.form - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.name.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.name.html
index 5fb30de511..068965f29e 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.num_params.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.num_params.html
index 513bb69052..22fc1cef94 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.parameter_names.html
index 7764d85043..296de4a15e 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.resids.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.resids.html
index 9c008269b6..69317dd52a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.resids.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.resids.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.resids - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.resids - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.simulate.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.simulate.html
index fde1de2b85..4e428e9448 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.starting_values.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.starting_values.html
index 07a893c6f1..a14bce11b0 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.volatility.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.volatility.html
index 89f2f640bf..2fa0b49f19 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.x.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.x.html
index 05019e245a..166ad4657c 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.x.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.x.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.x - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.x - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.y.html b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.y.html
index c2df00d05b..48ff386258 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARCHInMean.y.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARCHInMean.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARCHInMean.y - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARCHInMean.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.bounds.html b/devel/univariate/generated/generated/arch.univariate.ARX.bounds.html
index 06fd3ee1ed..5664307c03 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.compute_param_cov.html b/devel/univariate/generated/generated/arch.univariate.ARX.compute_param_cov.html
index 553ac251bb..ef404b621b 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.compute_param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.compute_param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.compute_param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.compute_param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.constraints.html b/devel/univariate/generated/generated/arch.univariate.ARX.constraints.html
index b92d41316f..f06391581f 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.distribution.html b/devel/univariate/generated/generated/arch.univariate.ARX.distribution.html
index 2676161c98..c4e14e5a34 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.distribution.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.fit.html b/devel/univariate/generated/generated/arch.univariate.ARX.fit.html
index a2c187c99b..88f5406531 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.fit.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.fit - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.fix.html b/devel/univariate/generated/generated/arch.univariate.ARX.fix.html
index 3379cdd6f7..48e322bcb3 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.fix.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.fix.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.fix - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.fix - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.forecast.html b/devel/univariate/generated/generated/arch.univariate.ARX.forecast.html
index 72804aba5a..3504a81b31 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.name.html b/devel/univariate/generated/generated/arch.univariate.ARX.name.html
index 69e13ded30..af65f192e3 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.num_params.html b/devel/univariate/generated/generated/arch.univariate.ARX.num_params.html
index 1317807968..dfb417b359 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.ARX.parameter_names.html
index 40abec59d8..84399b4c45 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.resids.html b/devel/univariate/generated/generated/arch.univariate.ARX.resids.html
index aa6ade7744..e56f8ea2bb 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.resids.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.resids.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.resids - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.resids - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.simulate.html b/devel/univariate/generated/generated/arch.univariate.ARX.simulate.html
index 79d86b8341..a79ad1b6bc 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.starting_values.html b/devel/univariate/generated/generated/arch.univariate.ARX.starting_values.html
index 1eb4df1a47..ab13d87d9a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.volatility.html b/devel/univariate/generated/generated/arch.univariate.ARX.volatility.html
index 33513432c5..f9ef8d6a85 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.x.html b/devel/univariate/generated/generated/arch.univariate.ARX.x.html
index fcc24fb08c..78411cd983 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.x.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.x.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.x - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.x - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ARX.y.html b/devel/univariate/generated/generated/arch.univariate.ARX.y.html
index b0498e1364..c2c3d14365 100644
--- a/devel/univariate/generated/generated/arch.univariate.ARX.y.html
+++ b/devel/univariate/generated/generated/arch.univariate.ARX.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ARX.y - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ARX.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.bounds.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.bounds.html
index 1df4d3a2b9..32bbe31b2a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.compute_param_cov.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.compute_param_cov.html
index 9f36b35c0b..504484ff7a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.compute_param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.compute_param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.compute_param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.compute_param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.constraints.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.constraints.html
index 1a42f042a1..26e1c6955d 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.distribution.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.distribution.html
index 4deacb51b2..ec619efe7a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.distribution.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.fit.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.fit.html
index b8325a5493..6d3c349c21 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.fit.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.fit - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.fix.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.fix.html
index 968d432296..8f5f5630d4 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.fix.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.fix.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.fix - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.fix - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.forecast.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.forecast.html
index 81edfbdf5c..1abbd01daa 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.name.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.name.html
index 97c3c40a35..7274e00500 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.num_params.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.num_params.html
index a8e0eb46a8..3c931b41a0 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.parameter_names.html
index 83cd18fb31..8c860e6caf 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.resids.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.resids.html
index 1f8ecb7a9e..d7e726bb79 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.resids.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.resids.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.resids - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.resids - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.simulate.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.simulate.html
index 7a451c75a9..dbbc45f171 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.starting_values.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.starting_values.html
index 8bc8a85384..350e7d0033 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.volatility.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.volatility.html
index 360949256f..a6d062a7a3 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.x.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.x.html
index db6165e6fa..049053e16c 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.x.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.x.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.x - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.x - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantMean.y.html b/devel/univariate/generated/generated/arch.univariate.ConstantMean.y.html
index 1aa76181f4..ed7ea74704 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantMean.y.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantMean.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantMean.y - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantMean.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast.html
index 42b951c56f..9b7176b3f8 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast_transform.html
index 5888b2c7ef..92d6e0fe6e 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.bounds.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.bounds.html
index 35e77e7d41..d8098fc3e6 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.compute_variance.html
index d1cfa407c1..b74395867d 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.constraints.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.constraints.html
index 523f401ce7..1e296eaee1 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.forecast.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.forecast.html
index 27a0994308..b19109434a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.name.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.name.html
index 0ae10895c2..5c413b4cf8 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.num_params.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.num_params.html
index 76bc9c73a3..ec3568676e 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.parameter_names.html
index ad63d88f75..da3d501a6b 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.simulate.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.simulate.html
index 9dee439ee6..39f4c6c643 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.start.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.start.html
index 630d64b280..a347221c93 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.starting_values.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.starting_values.html
index b99bc2695e..1efe66c073 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.stop.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.stop.html
index e6255cc06a..11e3981872 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.update.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.update.html
index 5071566e00..eb4d545b7b 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.updateable.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.updateable.html
index c4dab745ef..13e0640f45 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.variance_bounds.html
index b35f280d5a..a582bb90cf 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.volatility_updater.html
index e31a6dc45e..68198d6fca 100644
--- a/devel/univariate/generated/generated/arch.univariate.ConstantVariance.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.ConstantVariance.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ConstantVariance.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ConstantVariance.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast.html
index d9e52da8d6..76d70a28d0 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast_transform.html
index 50485c18f5..3edd51ab6c 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.bounds.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.bounds.html
index 320e503f23..fd23ddab4d 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.compute_variance.html
index 193ead9b39..56fcc59e02 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.constraints.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.constraints.html
index 71c1ca7c7c..6549555976 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.forecast.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.forecast.html
index b20596901e..dcf4b09afd 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.name.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.name.html
index 1847de3bab..11002f1522 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.num_params.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.num_params.html
index 29230c0008..b9a6f1c6d8 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.parameter_names.html
index 1614faff4b..2cef4bd75d 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.simulate.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.simulate.html
index 0a25fb6392..30f631ea2b 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.start.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.start.html
index 80f521d495..f570e80151 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.starting_values.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.starting_values.html
index db97899e6c..ad320dc212 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.stop.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.stop.html
index 0799b17fca..9ea3cc6b67 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.update.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.update.html
index 625b7737fe..d2950813e5 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.updateable.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.updateable.html
index 56ff99368e..b2f8b6afe7 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.variance_bounds.html
index fefc0cef55..a68a4d12d8 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EGARCH.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.EGARCH.volatility_updater.html
index 9c6fe73d42..bccf590acf 100644
--- a/devel/univariate/generated/generated/arch.univariate.EGARCH.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.EGARCH.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EGARCH.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EGARCH.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast.html
index 380721ad0c..da7bac94d9 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast_transform.html
index a173d34b18..12dbc17d01 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.bounds.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.bounds.html
index 4c19a06a83..23a49fc98f 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.compute_variance.html
index 32afab8bc5..448636073f 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.constraints.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.constraints.html
index 96f9fd885e..5df9055857 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.forecast.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.forecast.html
index 973b9f6c30..a887faadb6 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.name.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.name.html
index 16269929da..38b98ed8aa 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.num_params.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.num_params.html
index c53adffe35..a6be7f9167 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.parameter_names.html
index 53e7bec929..660e697e21 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.simulate.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.simulate.html
index f6b4e77067..ff5089c9f5 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.start.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.start.html
index ebf69c4052..6c764c22a7 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.starting_values.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.starting_values.html
index 302194115d..a58cd100c8 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.stop.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.stop.html
index fc7b47da90..f69f6985ea 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.update.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.update.html
index b685b4b02e..bd6d56e54a 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.updateable.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.updateable.html
index d9980e93da..6ccd752e87 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.variance_bounds.html
index c5730d1921..8ac676e0f2 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.volatility_updater.html
index 52d8bb7954..f5742dd4a6 100644
--- a/devel/univariate/generated/generated/arch.univariate.EWMAVariance.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.EWMAVariance.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.EWMAVariance.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.EWMAVariance.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast.html
index d373e9e041..c05c6cd5b0 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast_transform.html
index 587762e9c0..0c2546c139 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.bounds.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.bounds.html
index 79fa0a0bb1..4921e3d9ec 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.compute_variance.html
index f5ca306b96..7968aee9d8 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.constraints.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.constraints.html
index fa39015bca..e16d192c65 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.forecast.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.forecast.html
index 592fd7d596..4869eca5ce 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.name.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.name.html
index c80283bf67..fd8a650a7d 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.num_params.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.num_params.html
index c1f4e8e9ad..5c3c4c93bb 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.parameter_names.html
index 7d6f86e067..f319c9a0e4 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.simulate.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.simulate.html
index c58a67b0b6..08c0d77514 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.start.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.start.html
index 9268b2a562..46932c37a8 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.starting_values.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.starting_values.html
index 74066494bc..d833ab7382 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.stop.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.stop.html
index 5f7f2eeff1..b45a37b22d 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.truncation.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.truncation.html
index 2b2cd819d7..8a4a966705 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.truncation.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.truncation.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.truncation - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.truncation - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.update.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.update.html
index 5641b72998..6aeb12ef01 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.updateable.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.updateable.html
index fc8960433f..24b4a7447b 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.variance_bounds.html
index 47b4d39332..27dcbc8f26 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FIGARCH.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.FIGARCH.volatility_updater.html
index 910a72ed1d..0ab24cba15 100644
--- a/devel/univariate/generated/generated/arch.univariate.FIGARCH.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.FIGARCH.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FIGARCH.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FIGARCH.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast.html
index fcb37d9510..5fc5923062 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast_transform.html
index 602534ab9f..f34017cac4 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.bounds.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.bounds.html
index 31c30432c3..df5eb890f2 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.compute_variance.html
index 177a8b02fd..86c9e8e708 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.constraints.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.constraints.html
index 1b6a3382a9..5375c01de0 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.forecast.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.forecast.html
index 757816a609..1063c6afd4 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.name.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.name.html
index b247741693..ce3d07f73f 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.num_params.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.num_params.html
index 0d5d80ca6c..c9fa615cf1 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.parameter_names.html
index 699197cbde..afef30136e 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.simulate.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.simulate.html
index 8973b664da..e8053862a4 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.start.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.start.html
index cb5ed0b3e0..4a7e35f4db 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.starting_values.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.starting_values.html
index d50e023851..d537245de1 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.stop.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.stop.html
index b73c8e2eeb..fa23da22ef 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.update.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.update.html
index a97755d151..929ba6a68f 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.updateable.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.updateable.html
index 69c9cd9220..aa82c11f91 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.variance_bounds.html
index 24cdef91b9..eefe628c68 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.FixedVariance.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.FixedVariance.volatility_updater.html
index 9d3671519e..78257620f7 100644
--- a/devel/univariate/generated/generated/arch.univariate.FixedVariance.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.FixedVariance.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.FixedVariance.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.FixedVariance.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.backcast.html b/devel/univariate/generated/generated/arch.univariate.GARCH.backcast.html
index e2d32684e9..ff2c70033d 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.GARCH.backcast_transform.html
index 564e984d78..738d7dbb6e 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.bounds.html b/devel/univariate/generated/generated/arch.univariate.GARCH.bounds.html
index b3836a0888..f2e958ff30 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.GARCH.compute_variance.html
index b7bc4acda7..8a38b15fa1 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.constraints.html b/devel/univariate/generated/generated/arch.univariate.GARCH.constraints.html
index fa710dc9f1..e38bbf0721 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.forecast.html b/devel/univariate/generated/generated/arch.univariate.GARCH.forecast.html
index d24e0f8a6c..f5db47b2b4 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.name.html b/devel/univariate/generated/generated/arch.univariate.GARCH.name.html
index 80592d290a..b4eada3222 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.num_params.html b/devel/univariate/generated/generated/arch.univariate.GARCH.num_params.html
index 73e28d4c56..6a2e77f2da 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.GARCH.parameter_names.html
index 0681781f7b..2f96cef637 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.simulate.html b/devel/univariate/generated/generated/arch.univariate.GARCH.simulate.html
index 0871778aba..0758b81d8b 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.start.html b/devel/univariate/generated/generated/arch.univariate.GARCH.start.html
index 7399155ae7..aa14a691dc 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.starting_values.html b/devel/univariate/generated/generated/arch.univariate.GARCH.starting_values.html
index a58821ec31..78c078b1da 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.stop.html b/devel/univariate/generated/generated/arch.univariate.GARCH.stop.html
index 6961846126..8c7c484c60 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.update.html b/devel/univariate/generated/generated/arch.univariate.GARCH.update.html
index 521c4e4460..7696e6b27f 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.updateable.html b/devel/univariate/generated/generated/arch.univariate.GARCH.updateable.html
index c7922b8cfc..28ade57e16 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.GARCH.variance_bounds.html
index e14b085967..54a4176089 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GARCH.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.GARCH.volatility_updater.html
index 1f20e331ed..b9c062c1a3 100644
--- a/devel/univariate/generated/generated/arch.univariate.GARCH.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.GARCH.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GARCH.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GARCH.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.bounds.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.bounds.html
index 26f332cb18..6b856ad7c1 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.cdf.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.cdf.html
index 1868e74acc..180897494d 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.cdf.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.cdf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.cdf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.cdf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.constraints.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.constraints.html
index a9255309b7..1415476152 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.generator.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.generator.html
index 93afff4658..b066a16fa1 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.generator.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.generator - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.loglikelihood.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.loglikelihood.html
index 7bcd13f321..90078c3aca 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.loglikelihood.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.loglikelihood.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.loglikelihood - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.loglikelihood - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.moment.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.moment.html
index 0b2b7884c2..26e2b4703e 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.name.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.name.html
index 89e9c21fe5..5c335fb089 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.parameter_names.html
index 03fc49e3f0..0e9baf9ccd 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.partial_moment.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.partial_moment.html
index c937f13295..b47aa804da 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.partial_moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.partial_moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.partial_moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.partial_moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.ppf.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.ppf.html
index 8ff921d240..90ae708c25 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.ppf.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.ppf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.ppf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.ppf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.random_state.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.random_state.html
index 385ed70f5d..6454181717 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.random_state.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.simulate.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.simulate.html
index c94998e19c..25cae3044a 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.starting_values.html b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.starting_values.html
index c5ae84f136..1d5781762a 100644
--- a/devel/univariate/generated/generated/arch.univariate.GeneralizedError.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.GeneralizedError.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.GeneralizedError.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.GeneralizedError.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.backcast.html b/devel/univariate/generated/generated/arch.univariate.HARCH.backcast.html
index ce6094d143..2afddc8d19 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.HARCH.backcast_transform.html
index f1e3a6de21..73d9655647 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.bounds.html b/devel/univariate/generated/generated/arch.univariate.HARCH.bounds.html
index 17ed189de3..be39e116cc 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.HARCH.compute_variance.html
index d7b5ffbe76..a8cb7c1b7d 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.constraints.html b/devel/univariate/generated/generated/arch.univariate.HARCH.constraints.html
index fd09c98dab..f053172f68 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.forecast.html b/devel/univariate/generated/generated/arch.univariate.HARCH.forecast.html
index f80219c356..766a7c845c 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.name.html b/devel/univariate/generated/generated/arch.univariate.HARCH.name.html
index 3f8d114e8b..c3952a1831 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.num_params.html b/devel/univariate/generated/generated/arch.univariate.HARCH.num_params.html
index 1544bccc4f..bb65ef6ae9 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.HARCH.parameter_names.html
index 234d959b77..a80c2b3c64 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.simulate.html b/devel/univariate/generated/generated/arch.univariate.HARCH.simulate.html
index 4f3a799ecf..3f142b5968 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.start.html b/devel/univariate/generated/generated/arch.univariate.HARCH.start.html
index 9e77435eae..04c44a698c 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.starting_values.html b/devel/univariate/generated/generated/arch.univariate.HARCH.starting_values.html
index db4d4ba8c6..fde58b34f0 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.stop.html b/devel/univariate/generated/generated/arch.univariate.HARCH.stop.html
index 06e492d8ae..8eea058c96 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.update.html b/devel/univariate/generated/generated/arch.univariate.HARCH.update.html
index 75cd7c1639..f526340f27 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.updateable.html b/devel/univariate/generated/generated/arch.univariate.HARCH.updateable.html
index 91d78fdcc7..bf11a3b3f6 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.HARCH.variance_bounds.html
index 9aa08a5cae..de7a13ccef 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARCH.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.HARCH.volatility_updater.html
index 1a59ae84e6..629b682b19 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARCH.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARCH.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARCH.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARCH.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.bounds.html b/devel/univariate/generated/generated/arch.univariate.HARX.bounds.html
index 1560112d4a..82b2b9f938 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.compute_param_cov.html b/devel/univariate/generated/generated/arch.univariate.HARX.compute_param_cov.html
index db83c4e50f..88014bbe09 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.compute_param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.compute_param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.compute_param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.compute_param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.constraints.html b/devel/univariate/generated/generated/arch.univariate.HARX.constraints.html
index 25a5520b87..e2a843aec8 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.distribution.html b/devel/univariate/generated/generated/arch.univariate.HARX.distribution.html
index 681dd899ed..57d09715ff 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.distribution.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.fit.html b/devel/univariate/generated/generated/arch.univariate.HARX.fit.html
index 7c54e22347..1a03efb8ac 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.fit.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.fit - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.fix.html b/devel/univariate/generated/generated/arch.univariate.HARX.fix.html
index 4dcce6673f..d361ba35e9 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.fix.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.fix.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.fix - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.fix - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.forecast.html b/devel/univariate/generated/generated/arch.univariate.HARX.forecast.html
index 454f3c5c3a..3a3f3fc12a 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.name.html b/devel/univariate/generated/generated/arch.univariate.HARX.name.html
index 8d09ecb04f..bed61dbe44 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.num_params.html b/devel/univariate/generated/generated/arch.univariate.HARX.num_params.html
index b8a2515960..94bce6ee1d 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.HARX.parameter_names.html
index 9bd8245374..00f0ca03b6 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.resids.html b/devel/univariate/generated/generated/arch.univariate.HARX.resids.html
index a0444e6ce9..c8ee474800 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.resids.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.resids.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.resids - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.resids - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.simulate.html b/devel/univariate/generated/generated/arch.univariate.HARX.simulate.html
index 0f6ba562d1..eafc42a176 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.starting_values.html b/devel/univariate/generated/generated/arch.univariate.HARX.starting_values.html
index 9fbcd26ad9..d66972d105 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.volatility.html b/devel/univariate/generated/generated/arch.univariate.HARX.volatility.html
index d399296e15..f859882e8b 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.x.html b/devel/univariate/generated/generated/arch.univariate.HARX.x.html
index 048605e7db..315c4f6e7d 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.x.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.x.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.x - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.x - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.HARX.y.html b/devel/univariate/generated/generated/arch.univariate.HARX.y.html
index a34c94c4ea..734ad93dae 100644
--- a/devel/univariate/generated/generated/arch.univariate.HARX.y.html
+++ b/devel/univariate/generated/generated/arch.univariate.HARX.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.HARX.y - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.HARX.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.bounds.html b/devel/univariate/generated/generated/arch.univariate.LS.bounds.html
index 1fc0891ed6..4019cda624 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.compute_param_cov.html b/devel/univariate/generated/generated/arch.univariate.LS.compute_param_cov.html
index 69daa9c085..9871f0bd31 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.compute_param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.compute_param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.compute_param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.compute_param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.constraints.html b/devel/univariate/generated/generated/arch.univariate.LS.constraints.html
index b875e00b16..14d562563f 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.distribution.html b/devel/univariate/generated/generated/arch.univariate.LS.distribution.html
index 45713e1372..7abeb83024 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.distribution.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.fit.html b/devel/univariate/generated/generated/arch.univariate.LS.fit.html
index 0da1dd8650..66ba0aac8b 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.fit.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.fit - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.fix.html b/devel/univariate/generated/generated/arch.univariate.LS.fix.html
index 279e5f56f0..bd4c927868 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.fix.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.fix.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.fix - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.fix - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.forecast.html b/devel/univariate/generated/generated/arch.univariate.LS.forecast.html
index 3456157f66..8040ac3b12 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.name.html b/devel/univariate/generated/generated/arch.univariate.LS.name.html
index 5b10770b80..561ddc9894 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.num_params.html b/devel/univariate/generated/generated/arch.univariate.LS.num_params.html
index 39be8c999d..d91652e1f6 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.LS.parameter_names.html
index 0ba7b8bac0..1c56d2f6fa 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.resids.html b/devel/univariate/generated/generated/arch.univariate.LS.resids.html
index 7ad850fc04..9da7fee5b2 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.resids.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.resids.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.resids - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.resids - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.simulate.html b/devel/univariate/generated/generated/arch.univariate.LS.simulate.html
index e05da9b389..6ae52a334e 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.starting_values.html b/devel/univariate/generated/generated/arch.univariate.LS.starting_values.html
index c8babb6712..dd1155ae40 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.volatility.html b/devel/univariate/generated/generated/arch.univariate.LS.volatility.html
index 85bff3897c..d2efbd2fef 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.x.html b/devel/univariate/generated/generated/arch.univariate.LS.x.html
index 43cf43dcc2..b9fee6944d 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.x.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.x.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.x - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.x - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.LS.y.html b/devel/univariate/generated/generated/arch.univariate.LS.y.html
index 353d3eea0d..92e42ba501 100644
--- a/devel/univariate/generated/generated/arch.univariate.LS.y.html
+++ b/devel/univariate/generated/generated/arch.univariate.LS.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.LS.y - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.LS.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast.html
index 765dc99157..253dd3c160 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast_transform.html
index 08ef03d6cc..35aa92a2ef 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.bounds.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.bounds.html
index 211f250c92..026bf7a96e 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.compute_variance.html
index 2fa7a84f74..fee600b660 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.constraints.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.constraints.html
index ca3b6a48c4..77fab60a7f 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.forecast.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.forecast.html
index e2631179d8..65160ef4e1 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.name.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.name.html
index c71ce1ad7d..6185b75639 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.num_params.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.num_params.html
index 6e00e4519c..783dab567f 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.parameter_names.html
index 4f3741bba9..80763a44bf 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.simulate.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.simulate.html
index 23487e8abc..19ea9224f4 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.start.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.start.html
index 7928f6a135..5dadda2e7f 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.starting_values.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.starting_values.html
index 427494e121..c57845e78a 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.stop.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.stop.html
index 032d971ac3..da62ad9c44 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.update.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.update.html
index 83c38704b6..77584a5f23 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.updateable.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.updateable.html
index 3b3afbb2f4..d792769c2f 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.variance_bounds.html
index 31977a2a87..e3af66b495 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.volatility_updater.html
index d5d7207899..6ad565aa1a 100644
--- a/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.MIDASHyperbolic.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.MIDASHyperbolic.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.MIDASHyperbolic.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.bounds.html b/devel/univariate/generated/generated/arch.univariate.Normal.bounds.html
index e0c01c245c..846b389327 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.cdf.html b/devel/univariate/generated/generated/arch.univariate.Normal.cdf.html
index 11fecbea3b..0af8a56bba 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.cdf.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.cdf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.cdf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.cdf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.constraints.html b/devel/univariate/generated/generated/arch.univariate.Normal.constraints.html
index ef477310e3..7f8ff62ece 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.generator.html b/devel/univariate/generated/generated/arch.univariate.Normal.generator.html
index 0183cd3415..f759f572e1 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.generator.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.generator - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.loglikelihood.html b/devel/univariate/generated/generated/arch.univariate.Normal.loglikelihood.html
index ed84c5e311..e556c761f4 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.loglikelihood.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.loglikelihood.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.loglikelihood - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.loglikelihood - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.moment.html b/devel/univariate/generated/generated/arch.univariate.Normal.moment.html
index c117ccfa23..c103d5fd3b 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.name.html b/devel/univariate/generated/generated/arch.univariate.Normal.name.html
index 0cc047a997..469963d4af 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.Normal.parameter_names.html
index 5765a318ac..00afda4a93 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.partial_moment.html b/devel/univariate/generated/generated/arch.univariate.Normal.partial_moment.html
index da88e4ad21..faf6fc788f 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.partial_moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.partial_moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.partial_moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.partial_moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.ppf.html b/devel/univariate/generated/generated/arch.univariate.Normal.ppf.html
index 644d9b8632..ce158109bf 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.ppf.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.ppf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.ppf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.ppf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.random_state.html b/devel/univariate/generated/generated/arch.univariate.Normal.random_state.html
index 6ac858c3eb..bb6159c9d0 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.random_state.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.simulate.html b/devel/univariate/generated/generated/arch.univariate.Normal.simulate.html
index 503db56ea8..75d7ccc2c7 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.Normal.starting_values.html b/devel/univariate/generated/generated/arch.univariate.Normal.starting_values.html
index 58ad5b4477..4f8070a21d 100644
--- a/devel/univariate/generated/generated/arch.univariate.Normal.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.Normal.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.Normal.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.Normal.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast.html
index 714e634620..618773fe08 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast_transform.html
index 344ce787b1..8e5141535e 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.bounds.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.bounds.html
index 4af987914c..9dc6bdd33a 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.compute_variance.html
index 78f50d9b77..4a63d4c70c 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.constraints.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.constraints.html
index 5fbbdab900..dfbc1c9c73 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.forecast.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.forecast.html
index d1e517ac55..73c573897f 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.name.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.name.html
index 293aba40e1..750ad9b389 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.num_params.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.num_params.html
index 62006b7eb4..fa3f2891ad 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.parameter_names.html
index f4d31c1193..98a7870dd1 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.simulate.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.simulate.html
index 02cb5eaa24..8be3bca932 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.start.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.start.html
index c09b41a721..f5d62d17db 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.starting_values.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.starting_values.html
index 0335c6cc04..7913506bc7 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.stop.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.stop.html
index efe4bfaaa3..456117aacf 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.update.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.update.html
index f95e616893..330a491ed3 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.updateable.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.updateable.html
index 2ed9f598c9..85e948662e 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.variance_bounds.html
index 3c49aa4dbe..15dd686e93 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.volatility_updater.html
index 2d88456a73..51a2bba5c6 100644
--- a/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.RiskMetrics2006.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.RiskMetrics2006.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.RiskMetrics2006.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.bounds.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.bounds.html
index 2d4a7b18ee..6f216c970c 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.cdf.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.cdf.html
index bf99be83a8..bf5aa9dee4 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.cdf.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.cdf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.cdf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.cdf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.constraints.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.constraints.html
index 8c174a1e9e..317b3bfd22 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.generator.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.generator.html
index ef1042bffc..83dde896af 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.generator.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.generator - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.loglikelihood.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.loglikelihood.html
index 0b37f08ac5..4f8d35cf62 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.loglikelihood.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.loglikelihood.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.loglikelihood - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.loglikelihood - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.moment.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.moment.html
index 0c4e0ff2f0..8c000c7c56 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.name.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.name.html
index d34ae75064..4df1da0b14 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.parameter_names.html
index 6390cb71b0..2b2a7d7d5f 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.partial_moment.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.partial_moment.html
index 990d3b7e9e..2c6cfaf3a8 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.partial_moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.partial_moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.partial_moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.partial_moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.ppf.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.ppf.html
index fec8407a94..643c681da4 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.ppf.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.ppf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.ppf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.ppf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.random_state.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.random_state.html
index 039423f7ff..b75e0336b3 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.random_state.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.simulate.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.simulate.html
index 08e3c66daa..cf2fec2eea 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.SkewStudent.starting_values.html b/devel/univariate/generated/generated/arch.univariate.SkewStudent.starting_values.html
index bc6b7ba0d7..a437c83cd2 100644
--- a/devel/univariate/generated/generated/arch.univariate.SkewStudent.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.SkewStudent.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.SkewStudent.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.SkewStudent.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.bounds.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.bounds.html
index 5e527b9716..0037beabcd 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.cdf.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.cdf.html
index 9d7832f86a..09f62c75b3 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.cdf.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.cdf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.cdf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.cdf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.constraints.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.constraints.html
index d3d0ba5c93..87a2251395 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.generator.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.generator.html
index 32baeb82bd..c881a67a3f 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.generator.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.generator - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.loglikelihood.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.loglikelihood.html
index 8c65cf761f..3ccaf608cb 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.loglikelihood.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.loglikelihood.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.loglikelihood - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.loglikelihood - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.moment.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.moment.html
index 234c70c787..beefd12503 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.name.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.name.html
index 08132b1f82..d1877fe3f4 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.parameter_names.html
index da67a8416a..1cd0b5542b 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.partial_moment.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.partial_moment.html
index 11f94a6546..294b9c101b 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.partial_moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.partial_moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.partial_moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.partial_moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.ppf.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.ppf.html
index 93f64c01d1..6d9969c745 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.ppf.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.ppf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.ppf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.ppf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.random_state.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.random_state.html
index bcc0a51ea5..b62986544e 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.random_state.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.simulate.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.simulate.html
index b0bb249329..2f1d16361b 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.StudentsT.starting_values.html b/devel/univariate/generated/generated/arch.univariate.StudentsT.starting_values.html
index 64fd482708..aee218fa7c 100644
--- a/devel/univariate/generated/generated/arch.univariate.StudentsT.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.StudentsT.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.StudentsT.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.StudentsT.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.bounds.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.bounds.html
index 864acca941..f40ed92ed8 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.compute_param_cov.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.compute_param_cov.html
index b2cc9d8cff..dec14cfe0e 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.compute_param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.compute_param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.compute_param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.compute_param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.constraints.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.constraints.html
index 5e34efe4ad..cff051f199 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.distribution.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.distribution.html
index e0d2a94d05..480d520397 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.distribution.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.fit.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.fit.html
index 1d5c31ce82..6bbe9790fb 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.fit.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.fit - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.fix.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.fix.html
index 343e130767..23550c7df7 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.fix.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.fix.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.fix - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.fix - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.forecast.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.forecast.html
index e145379767..046b13e920 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.name.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.name.html
index 0e9042f83d..e62999e82a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.num_params.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.num_params.html
index 5b990a0184..d20dec85f6 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.parameter_names.html
index a01d845acd..d3b52ffc6a 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.resids.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.resids.html
index 963dc1c5ba..aa0b982369 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.resids.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.resids.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.resids - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.resids - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.simulate.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.simulate.html
index f3762a36a4..40b59a434c 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.starting_values.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.starting_values.html
index e618138204..3711d5a847 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.volatility.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.volatility.html
index 0cd1b5d8e6..8bf631c53d 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.x.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.x.html
index 8c30e9eb98..92252091dd 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.x.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.x.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.x - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.x - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.ZeroMean.y.html b/devel/univariate/generated/generated/arch.univariate.ZeroMean.y.html
index 359893c06a..bade2aebbf 100644
--- a/devel/univariate/generated/generated/arch.univariate.ZeroMean.y.html
+++ b/devel/univariate/generated/generated/arch.univariate.ZeroMean.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.ZeroMean.y - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.ZeroMean.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.bounds.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.bounds.html
index 8996d89777..8161b52f47 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.compute_param_cov.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.compute_param_cov.html
index c9252283ac..1fa50138ee 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.compute_param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.compute_param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.compute_param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.compute_param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.constraints.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.constraints.html
index 46bd52af04..005f5a82e6 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.distribution.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.distribution.html
index 2537fedaa5..50ace327c9 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.distribution.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.distribution.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.distribution - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.distribution - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fit.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fit.html
index ea84b578b1..e58a70fc5f 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fit.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fit.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.fit - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.fit - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fix.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fix.html
index 0ea4b787a7..ea6d39687a 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fix.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.fix.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.fix - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.fix - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.forecast.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.forecast.html
index 501d4dc824..41dafefe33 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.name.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.name.html
index 42fe4fcc11..c032997bdd 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.num_params.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.num_params.html
index bc9de44077..4c5ac982ff 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.parameter_names.html
index a642f36810..0bf094c4ce 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.resids.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.resids.html
index 7edd600011..268d1ca41b 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.resids.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.resids.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.resids - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.resids - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.simulate.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.simulate.html
index 8fc7a131e1..b0075aa875 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.starting_values.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.starting_values.html
index 5c7d34df85..6139a36a83 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.volatility.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.volatility.html
index 2773c9dc38..de46908385 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.y.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.y.html
index 6fbde7e233..99856357d0 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.y.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModel.y.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModel.y - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModel.y - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.aic.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.aic.html
index 80dd9fffc2..9353faf3ed 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.aic.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.aic.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.aic - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.aic - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.arch_lm_test.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.arch_lm_test.html
index 12bc7111d5..661cdff1c3 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.arch_lm_test.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.arch_lm_test.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.arch_lm_test - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.arch_lm_test - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.bic.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.bic.html
index 172850f205..a57d32675e 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.bic.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.bic.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.bic - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.bic - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.conditional_volatility.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.conditional_volatility.html
index 74fb70d3c1..a0f7fc8690 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.conditional_volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.conditional_volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.conditional_volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.conditional_volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.forecast.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.forecast.html
index bf4c322f02..1fa23a1521 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.hedgehog_plot.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.hedgehog_plot.html
index 503023e94d..9452395c89 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.hedgehog_plot.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.hedgehog_plot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.hedgehog_plot - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.hedgehog_plot - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.loglikelihood.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.loglikelihood.html
index 2e00e2ec2d..f536956236 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.loglikelihood.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.loglikelihood.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.loglikelihood - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.loglikelihood - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.model.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.model.html
index d1cec4c98d..8e6bc14a3c 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.model.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.model.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.model - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.model - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.nobs.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.nobs.html
index 01aeadebe3..c002c005ca 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.nobs.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.num_params.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.num_params.html
index 3490747ecd..24a379c0e7 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.params.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.params.html
index f5bd7c42d4..52d890d648 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.params.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.plot.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.plot.html
index 8eb560b0f3..987ad86e8b 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.plot.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.plot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.plot - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.plot - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.resid.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.resid.html
index d7dc859fa9..29ade46800 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.resid.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.resid - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.std_resid.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.std_resid.html
index 896b1aadb1..c956bb6230 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.std_resid.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.std_resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.std_resid - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.std_resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.summary.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.summary.html
index 45a47b43cf..74223286e5 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.summary.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelFixedResult.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelFixedResult.summary - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelFixedResult.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.mean.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.mean.html
index a6da8328ea..c31a8f51e3 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.mean.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.mean.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecast.mean - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecast.mean - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.residual_variance.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.residual_variance.html
index dbcf8153ab..ea220a5354 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.residual_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.residual_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecast.residual_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecast.residual_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.simulations.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.simulations.html
index 226f52ca90..f73ae2fbb1 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.simulations.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.simulations.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecast.simulations - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecast.simulations - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.variance.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.variance.html
index 30ead06ec1..af0970e21a 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecast.variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecast.variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecast.variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.index.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.index.html
index 1247e89392..94a61aab8d 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.index.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.index.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecastSimulation.index - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecastSimulation.index - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residual_variances.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residual_variances.html
index 5be19f0da2..fa29e2cfff 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residual_variances.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residual_variances.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecastSimulation.residual_variances - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecastSimulation.residual_variances - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residuals.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residuals.html
index 5e6d43798f..eab0122f02 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residuals.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.residuals.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecastSimulation.residuals - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecastSimulation.residuals - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.values.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.values.html
index fc5cf83602..3dba6ffb3a 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.values.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecastSimulation.values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecastSimulation.values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.variances.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.variances.html
index e0317661a4..820f55a7a3 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.variances.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelForecastSimulation.variances.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelForecastSimulation.variances - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelForecastSimulation.variances - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.aic.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.aic.html
index b9c2da3192..adc20d2510 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.aic.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.aic.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.aic - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.aic - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.arch_lm_test.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.arch_lm_test.html
index a0864df215..527bc1a615 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.arch_lm_test.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.arch_lm_test.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.arch_lm_test - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.arch_lm_test - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.bic.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.bic.html
index f5b40ddaed..802b1d5495 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.bic.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.bic.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.bic - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.bic - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conditional_volatility.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conditional_volatility.html
index 62ad9fe762..1401ba02a3 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conditional_volatility.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conditional_volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.conditional_volatility - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.conditional_volatility - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conf_int.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conf_int.html
index 81f693e399..2148cc80a7 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conf_int.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.conf_int.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.conf_int - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.conf_int - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.convergence_flag.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.convergence_flag.html
index fdaf76d756..094a6593b0 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.convergence_flag.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.convergence_flag.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.convergence_flag - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.convergence_flag - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_start.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_start.html
index 03189cafd0..43b9b5ec4c 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_start.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.fit_start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.fit_start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_stop.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_stop.html
index fda252eb0a..f621c082ac 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.fit_stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.fit_stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.fit_stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.forecast.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.forecast.html
index dc8f829047..dd7705c75f 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.hedgehog_plot.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.hedgehog_plot.html
index 63b32b472d..6af98fbf29 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.hedgehog_plot.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.hedgehog_plot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.hedgehog_plot - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.hedgehog_plot - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.loglikelihood.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.loglikelihood.html
index 9320fb4ed9..e1158ad0a1 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.loglikelihood.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.loglikelihood.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.loglikelihood - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.loglikelihood - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.model.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.model.html
index 9b06cc49d4..83a2acdc19 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.model.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.model.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.model - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.model - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.nobs.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.nobs.html
index 515e46dcb2..f18fe96f3b 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.nobs.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.nobs.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.nobs - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.nobs - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.num_params.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.num_params.html
index 871c255c46..c61bb0ed1a 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.optimization_result.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.optimization_result.html
index ab0f9a95ac..872618ac3a 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.optimization_result.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.optimization_result.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.optimization_result - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.optimization_result - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.param_cov.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.param_cov.html
index dc6a2552b7..66eca9ff37 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.param_cov.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.param_cov.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.param_cov - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.param_cov - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.params.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.params.html
index b4fb4af5dc..54430b9cfc 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.params.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.plot.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.plot.html
index e5ad6de44f..3df808737a 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.plot.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.plot.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.plot - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.plot - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.pvalues.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.pvalues.html
index 7b479ae601..e99a9d32d4 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.pvalues.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.pvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.pvalues - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.pvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.resid.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.resid.html
index 5823e056e6..2d0df6ca80 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.resid.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.resid - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared.html
index 909d9260d1..0e38629077 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.rsquared - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.rsquared - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared_adj.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared_adj.html
index 5fcd24524b..dff10538c4 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared_adj.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.rsquared_adj.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.rsquared_adj - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.rsquared_adj - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.scale.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.scale.html
index 7f55934023..9cd5287812 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.scale.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.scale.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.scale - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.scale - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_err.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_err.html
index c6db0e6010..f2daa8d8c8 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_err.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_err.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.std_err - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.std_err - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_resid.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_resid.html
index bddcfd8414..401ad9af06 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_resid.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.std_resid.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.std_resid - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.std_resid - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.summary.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.summary.html
index c774143446..ad8fb5de48 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.summary.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.summary.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.summary - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.summary - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.tvalues.html b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.tvalues.html
index db9c4a2ed5..650f2e5f2e 100644
--- a/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.tvalues.html
+++ b/devel/univariate/generated/generated/arch.univariate.base.ARCHModelResult.tvalues.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.base.ARCHModelResult.tvalues - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.base.ARCHModelResult.tvalues - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.bounds.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.bounds.html
index 1f83e8e889..a994d69b9c 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.cdf.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.cdf.html
index b55bc7ab6f..8e61ce37e5 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.cdf.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.cdf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.cdf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.cdf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.constraints.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.constraints.html
index 08d3230a72..4ee670a3d8 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.generator.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.generator.html
index ca34a2398a..6022390906 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.generator.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.generator.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.generator - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.generator - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.loglikelihood.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.loglikelihood.html
index aa34305a05..708fc88495 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.loglikelihood.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.loglikelihood.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.loglikelihood - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.loglikelihood - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.moment.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.moment.html
index 4318ea1767..80ad54612f 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.name.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.name.html
index 88057a9e59..ce5c4b6894 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.parameter_names.html
index b00f0bf7f5..df901e91b7 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.partial_moment.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.partial_moment.html
index 800b76a189..3f807ed233 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.partial_moment.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.partial_moment.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.partial_moment - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.partial_moment - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.ppf.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.ppf.html
index abba6bd24e..5ebc9c5149 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.ppf.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.ppf.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.ppf - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.ppf - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.random_state.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.random_state.html
index b2c66bafae..2491aaa0d8 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.random_state.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.random_state.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.random_state - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.random_state - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.simulate.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.simulate.html
index 810b081d2b..ad7f069fb5 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.starting_values.html b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.starting_values.html
index 3582afb303..1ce0613f7c 100644
--- a/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.distribution.Distribution.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.distribution.Distribution.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.distribution.Distribution.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.recursions.VolatilityUpdater.initialize_update.html b/devel/univariate/generated/generated/arch.univariate.recursions.VolatilityUpdater.initialize_update.html
index 8a25aea6bd..442a51de23 100644
--- a/devel/univariate/generated/generated/arch.univariate.recursions.VolatilityUpdater.initialize_update.html
+++ b/devel/univariate/generated/generated/arch.univariate.recursions.VolatilityUpdater.initialize_update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.recursions.VolatilityUpdater.initialize_update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.recursions.VolatilityUpdater.initialize_update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecast_paths.html b/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecast_paths.html
index 874541c85a..cef630b1eb 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecast_paths.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecast_paths.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VarianceForecast.forecast_paths - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VarianceForecast.forecast_paths - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecasts.html b/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecasts.html
index 5aca442af2..2a34682a9a 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecasts.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.forecasts.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VarianceForecast.forecasts - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VarianceForecast.forecasts - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.shocks.html b/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.shocks.html
index 42fae89934..84db016ef5 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.shocks.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VarianceForecast.shocks.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VarianceForecast.shocks - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VarianceForecast.shocks - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast.html
index d684689d01..d7ed41c788 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.backcast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.backcast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast_transform.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast_transform.html
index 19f1e2d4bb..00fe746161 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast_transform.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.backcast_transform.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.backcast_transform - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.backcast_transform - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.bounds.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.bounds.html
index b78c0597a8..8601e8fc6c 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.compute_variance.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.compute_variance.html
index b420e2e6fd..17165a8e73 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.compute_variance.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.compute_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.compute_variance - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.compute_variance - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.constraints.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.constraints.html
index fe21e152fa..c6bcfc17e4 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.constraints.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.constraints.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.constraints - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.constraints - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.forecast.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.forecast.html
index 1354f1426b..abe42e81ed 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.forecast.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.forecast.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.forecast - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.forecast - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.name.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.name.html
index 22d18b761c..37cc98dac9 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.name.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.name.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.name - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.name - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.num_params.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.num_params.html
index aca2479e7d..8c8c508af9 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.num_params.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.num_params.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.num_params - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.num_params - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.parameter_names.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.parameter_names.html
index c7795e3530..453628428b 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.parameter_names.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.parameter_names.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.parameter_names - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.parameter_names - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.simulate.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.simulate.html
index df7f82b2ed..537cc430e5 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.simulate.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.simulate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.simulate - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.simulate - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.start.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.start.html
index 33dfd97aa2..0a14eab42f 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.start.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.start.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.start - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.start - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.starting_values.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.starting_values.html
index 62250089ee..560a174e01 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.starting_values.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.starting_values.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.starting_values - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.starting_values - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.stop.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.stop.html
index 537e1627c8..c122d47e3f 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.stop.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.stop.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.stop - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.stop - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.update.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.update.html
index 60b34961f5..d85d1ba4be 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.update.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.update.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.update - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.update - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.updateable.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.updateable.html
index f2d71320b6..0d2b6bf34f 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.updateable.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.updateable.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.updateable - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.updateable - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.variance_bounds.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.variance_bounds.html
index bb301aaeb3..aeb03dd907 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.variance_bounds.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.variance_bounds.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.variance_bounds - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.variance_bounds - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.volatility_updater.html b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.volatility_updater.html
index a8e73a4ca7..c40c22bada 100644
--- a/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.volatility_updater.html
+++ b/devel/univariate/generated/generated/arch.univariate.volatility.VolatilityProcess.volatility_updater.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>arch.univariate.volatility.VolatilityProcess.volatility_updater - arch v7.1.1 (+16)</title>
+        <title>arch.univariate.volatility.VolatilityProcess.volatility_updater - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../../../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../../../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../../../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/introduction.html b/devel/univariate/introduction.html
index 56ab4e711e..608f9ae052 100644
--- a/devel/univariate/introduction.html
+++ b/devel/univariate/introduction.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Introduction to ARCH Models - arch v7.1.1 (+16)</title>
+        <title>Introduction to ARCH Models - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/mean.html b/devel/univariate/mean.html
index 1d2ec471ba..7880dd67cd 100644
--- a/devel/univariate/mean.html
+++ b/devel/univariate/mean.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Mean Models - arch v7.1.1 (+16)</title>
+        <title>Mean Models - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/results.html b/devel/univariate/results.html
index 3993e1ccd0..3e91ba4b64 100644
--- a/devel/univariate/results.html
+++ b/devel/univariate/results.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Model Results - arch v7.1.1 (+16)</title>
+        <title>Model Results - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/univariate.html b/devel/univariate/univariate.html
index 8a86363634..a814b002ad 100644
--- a/devel/univariate/univariate.html
+++ b/devel/univariate/univariate.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Univariate Volatility Models - arch v7.1.1 (+16)</title>
+        <title>Univariate Volatility Models - arch v7.1.1 (+18)</title>
       
     
 
@@ -87,7 +87,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -97,7 +97,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -184,10 +184,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/univariate_forecasting_with_exogenous_variables.html b/devel/univariate/univariate_forecasting_with_exogenous_variables.html
index a08fca0991..69e262f019 100644
--- a/devel/univariate/univariate_forecasting_with_exogenous_variables.html
+++ b/devel/univariate/univariate_forecasting_with_exogenous_variables.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Forecasting with Exogenous Regressors - arch v7.1.1 (+16)</title>
+        <title>Forecasting with Exogenous Regressors - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
@@ -1060,8 +1060,8 @@ <h2 id="Forecasting-the-X-values">Forecasting the X values<a class="headerlink"
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-array([5.06287863, 5.03143932, 5.01571966, 5.00785983, 5.00392991,
-       5.00196496, 5.00098248, 5.00049124, 5.00024562, 5.00012281])
+array([4.60803748, 4.80401874, 4.90200937, 4.95100468, 4.97550234,
+       4.98775117, 4.99387559, 4.99693779, 4.9984689 , 4.99923445])
 </pre></div></div>
 </div>
 <h2 id="Fitting-the-model">Fitting the model<a class="headerlink" href="#Fitting-the-model" title="Link to this heading">¶</a></h2>
@@ -1084,30 +1084,30 @@ <h2 id="Fitting-the-model">Fitting the model<a class="headerlink" href="#Fitting
 <div class="highlight"><pre>
                           AR-X - GARCH Model Results
 ==============================================================================
-Dep. Variable:                   data   R-squared:                       0.990
-Mean Model:                      AR-X   Adj. R-squared:                  0.990
-Vol Model:                      GARCH   Log-Likelihood:               -1373.15
-Distribution:                  Normal   AIC:                           2760.31
-Method:            Maximum Likelihood   BIC:                           2794.65
+Dep. Variable:                   data   R-squared:                       0.992
+Mean Model:                      AR-X   Adj. R-squared:                  0.992
+Vol Model:                      GARCH   Log-Likelihood:               -1356.70
+Distribution:                  Normal   AIC:                           2727.39
+Method:            Maximum Likelihood   BIC:                           2761.74
                                         No. Observations:                  999
 Date:                Mon, Nov 04 2024   Df Residuals:                      995
-Time:                        11:37:02   Df Model:                            4
+Time:                        12:32:57   Df Model:                            4
                                Mean Model
 ========================================================================
                  coef    std err          t      P&gt;|t|  95.0% Conf. Int.
 ------------------------------------------------------------------------
-Const          3.1359      0.167     18.755  1.755e-78 [  2.808,  3.464]
-data[1]        0.7033  3.806e-03    184.759      0.000 [  0.696,  0.711]
-x0             1.9946  2.304e-02     86.577      0.000 [  1.949,  2.040]
-x1            -2.0285  2.682e-02    -75.619      0.000 [ -2.081, -1.976]
-                             Volatility Model
-==========================================================================
-                 coef    std err          t      P&gt;|t|    95.0% Conf. Int.
---------------------------------------------------------------------------
-omega          0.0937  3.338e-02      2.806  5.022e-03 [2.823e-02,  0.159]
-alpha[1]       0.0686  2.237e-02      3.065  2.180e-03 [2.471e-02,  0.112]
-beta[1]        0.8300  4.784e-02     17.349  1.995e-67   [  0.736,  0.924]
-==========================================================================
+Const          3.0509      0.162     18.824  4.807e-79 [  2.733,  3.369]
+data[1]        0.6911  3.759e-03    183.834      0.000 [  0.684,  0.698]
+x0             2.0338  2.120e-02     95.944      0.000 [  1.992,  2.075]
+x1            -2.0181  2.710e-02    -74.481      0.000 [ -2.071, -1.965]
+                               Volatility Model
+=============================================================================
+                 coef    std err          t      P&gt;|t|       95.0% Conf. Int.
+-----------------------------------------------------------------------------
+omega          0.1575      0.107      1.466      0.143   [-5.303e-02,  0.368]
+alpha[1]       0.0496  2.536e-02      1.956  5.052e-02 [-1.121e-04,9.931e-02]
+beta[1]        0.7737      0.134      5.758  8.488e-09      [  0.510,  1.037]
+=============================================================================
 
 Covariance estimator: robust
 </pre></div></div>
@@ -1216,133 +1216,133 @@ <h2 id="Producing-multiple-forecasts">Producing multiple forecasts<a class="head
   <tbody>
     <tr>
       <th>990</th>
-      <td>3.936189</td>
-      <td>3.272171</td>
-      <td>3.436563</td>
-      <td>3.984636</td>
-      <td>4.679974</td>
-      <td>5.399032</td>
-      <td>6.079952</td>
-      <td>6.694685</td>
-      <td>7.233598</td>
-      <td>7.696865</td>
+      <td>27.314303</td>
+      <td>26.128042</td>
+      <td>24.589133</td>
+      <td>22.906024</td>
+      <td>21.224355</td>
+      <td>19.635506</td>
+      <td>18.189875</td>
+      <td>16.909387</td>
+      <td>15.797478</td>
+      <td>14.846444</td>
     </tr>
     <tr>
       <th>991</th>
-      <td>-0.387330</td>
-      <td>-0.260791</td>
-      <td>0.590091</td>
-      <td>1.709403</td>
-      <td>2.869238</td>
-      <td>3.961161</td>
-      <td>4.939250</td>
-      <td>5.789914</td>
-      <td>6.515793</td>
-      <td>7.127122</td>
+      <td>32.160943</td>
+      <td>29.953536</td>
+      <td>27.364096</td>
+      <td>24.802822</td>
+      <td>22.454730</td>
+      <td>20.389023</td>
+      <td>18.616630</td>
+      <td>17.120575</td>
+      <td>15.871989</td>
+      <td>14.838436</td>
     </tr>
     <tr>
       <th>992</th>
-      <td>0.630414</td>
-      <td>0.976673</td>
-      <td>1.674090</td>
-      <td>2.540491</td>
-      <td>3.457299</td>
-      <td>4.351678</td>
-      <td>5.182345</td>
-      <td>5.928985</td>
-      <td>6.584684</td>
-      <td>7.150688</td>
+      <td>26.416045</td>
+      <td>23.520892</td>
+      <td>20.906023</td>
+      <td>18.706703</td>
+      <td>16.922701</td>
+      <td>15.503509</td>
+      <td>14.386263</td>
+      <td>13.511325</td>
+      <td>12.827623</td>
+      <td>12.293527</td>
     </tr>
     <tr>
       <th>993</th>
-      <td>1.248537</td>
-      <td>0.975692</td>
-      <td>1.103402</td>
-      <td>1.571283</td>
-      <td>2.264658</td>
-      <td>3.075172</td>
-      <td>3.919540</td>
-      <td>4.741110</td>
-      <td>5.505400</td>
-      <td>6.194378</td>
+      <td>24.489390</td>
+      <td>21.722839</td>
+      <td>19.300475</td>
+      <td>17.311773</td>
+      <td>15.732780</td>
+      <td>14.501559</td>
+      <td>13.550639</td>
+      <td>12.819497</td>
+      <td>12.258118</td>
+      <td>11.826856</td>
     </tr>
     <tr>
       <th>994</th>
-      <td>-1.508928</td>
-      <td>-1.828094</td>
-      <td>-1.468314</td>
-      <td>-0.671483</td>
-      <td>0.362872</td>
-      <td>1.489441</td>
-      <td>2.611371</td>
-      <td>3.669529</td>
-      <td>4.631900</td>
-      <td>5.484836</td>
+      <td>19.003419</td>
+      <td>16.832340</td>
+      <td>15.186358</td>
+      <td>13.953791</td>
+      <td>13.036812</td>
+      <td>12.356515</td>
+      <td>11.851958</td>
+      <td>11.477217</td>
+      <td>11.198181</td>
+      <td>10.989713</td>
     </tr>
     <tr>
       <th>995</th>
-      <td>11.843792</td>
-      <td>13.485318</td>
-      <td>13.990311</td>
-      <td>13.930033</td>
-      <td>13.607153</td>
-      <td>13.181465</td>
-      <td>12.735982</td>
-      <td>12.312114</td>
-      <td>11.928667</td>
-      <td>11.592232</td>
+      <td>14.693448</td>
+      <td>12.632756</td>
+      <td>11.369583</td>
+      <td>10.615284</td>
+      <td>10.184152</td>
+      <td>9.956125</td>
+      <td>9.853509</td>
+      <td>9.826173</td>
+      <td>9.842014</td>
+      <td>9.880723</td>
     </tr>
     <tr>
       <th>996</th>
-      <td>16.329221</td>
-      <td>17.200559</td>
-      <td>17.212974</td>
-      <td>16.765587</td>
-      <td>16.097739</td>
-      <td>15.351045</td>
-      <td>14.606877</td>
-      <td>13.909436</td>
-      <td>13.280146</td>
-      <td>12.726708</td>
+      <td>8.103566</td>
+      <td>6.370812</td>
+      <td>5.776833</td>
+      <td>5.788174</td>
+      <td>6.103377</td>
+      <td>6.552317</td>
+      <td>7.040255</td>
+      <td>7.516134</td>
+      <td>7.954298</td>
+      <td>8.343779</td>
     </tr>
     <tr>
       <th>997</th>
-      <td>16.943210</td>
-      <td>16.348475</td>
-      <td>15.548706</td>
-      <td>14.723080</td>
-      <td>13.952838</td>
-      <td>13.269873</td>
-      <td>12.681705</td>
-      <td>12.184327</td>
-      <td>11.768801</td>
-      <td>11.424599</td>
+      <td>5.341480</td>
+      <td>4.381054</td>
+      <td>4.087323</td>
+      <td>4.243321</td>
+      <td>4.670469</td>
+      <td>5.237665</td>
+      <td>5.855826</td>
+      <td>6.468483</td>
+      <td>7.042652</td>
+      <td>7.561379</td>
     </tr>
     <tr>
       <th>998</th>
-      <td>14.943955</td>
-      <td>13.808667</td>
-      <td>12.771144</td>
-      <td>11.933437</td>
-      <td>11.299687</td>
-      <td>10.839349</td>
-      <td>10.514522</td>
-      <td>10.290598</td>
-      <td>10.139475</td>
-      <td>10.039686</td>
+      <td>11.144492</td>
+      <td>10.548660</td>
+      <td>9.934469</td>
+      <td>9.482191</td>
+      <td>9.214889</td>
+      <td>9.100449</td>
+      <td>9.094850</td>
+      <td>9.158558</td>
+      <td>9.261146</td>
+      <td>9.381217</td>
     </tr>
     <tr>
       <th>999</th>
-      <td>12.296464</td>
-      <td>11.388004</td>
-      <td>10.806928</td>
-      <td>10.435617</td>
-      <td>10.199979</td>
-      <td>10.052518</td>
-      <td>9.962384</td>
-      <td>9.909363</td>
-      <td>9.880141</td>
-      <td>9.865943</td>
+      <td>13.589678</td>
+      <td>13.560771</td>
+      <td>13.229948</td>
+      <td>12.810267</td>
+      <td>12.396197</td>
+      <td>12.025211</td>
+      <td>11.708164</td>
+      <td>11.444122</td>
+      <td>11.227496</td>
+      <td>11.051367</td>
     </tr>
   </tbody>
 </table>
@@ -1446,29 +1446,29 @@ <h2 id="Special-Cases-with-a-single-x-variable">Special Cases with a single <cod
 <div class="highlight"><pre>
                           AR-X - GARCH Model Results
 ==============================================================================
-Dep. Variable:                   data   R-squared:                       0.934
-Mean Model:                      AR-X   Adj. R-squared:                  0.934
-Vol Model:                      GARCH   Log-Likelihood:               -2323.26
-Distribution:                  Normal   AIC:                           4658.52
-Method:            Maximum Likelihood   BIC:                           4687.96
+Dep. Variable:                   data   R-squared:                       0.947
+Mean Model:                      AR-X   Adj. R-squared:                  0.947
+Vol Model:                      GARCH   Log-Likelihood:               -2324.73
+Distribution:                  Normal   AIC:                           4661.45
+Method:            Maximum Likelihood   BIC:                           4690.89
                                         No. Observations:                  999
 Date:                Mon, Nov 04 2024   Df Residuals:                      996
-Time:                        11:37:02   Df Model:                            3
+Time:                        12:32:58   Df Model:                            3
                                Mean Model
 ========================================================================
                  coef    std err          t      P&gt;|t|  95.0% Conf. Int.
 ------------------------------------------------------------------------
-Const         -6.7726      0.278    -24.402 1.639e-131 [ -7.317, -6.229]
-data[1]        0.7415  1.140e-02     65.055      0.000 [  0.719,  0.764]
-x0             1.8655  6.630e-02     28.136 3.520e-174 [  1.736,  1.995]
-                             Volatility Model
-==========================================================================
-                 coef    std err          t      P&gt;|t|    95.0% Conf. Int.
---------------------------------------------------------------------------
-omega          3.9809      1.151      3.459  5.412e-04   [  1.726,  6.236]
-alpha[1]       0.1425  4.671e-02      3.052  2.276e-03 [5.099e-02,  0.234]
-beta[1]        0.2195      0.185      1.187      0.235   [ -0.143,  0.582]
-==========================================================================
+Const         -6.5768      0.259    -25.429 1.191e-142 [ -7.084, -6.070]
+data[1]        0.7654  9.416e-03     81.285      0.000 [  0.747,  0.784]
+x0             1.7625  5.865e-02     30.052 2.062e-198 [  1.648,  1.877]
+                              Volatility Model
+===========================================================================
+                 coef    std err          t      P&gt;|t|     95.0% Conf. Int.
+---------------------------------------------------------------------------
+omega          5.5033      3.140      1.752  7.970e-02    [ -0.652, 11.658]
+alpha[1]       0.1147  9.369e-02      1.224      0.221 [-6.897e-02,  0.298]
+beta[1]        0.0000      0.581      0.000      1.000    [ -1.139,  1.139]
+===========================================================================
 
 Covariance estimator: robust
 </pre></div></div>
@@ -1518,8 +1518,8 @@ <h3 id="Static-out-of-sample-x">Static out-of-sample <code class="docutils liter
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-array([[0.96573609, 1.12818176, 1.27181596, 1.3228566 , 1.19022239,
-        1.25786933, 1.3111209 , 1.30761741, 1.27377076, 1.3823135 ]])
+array([[0.90776848, 1.01861   , 0.98325674, 1.20735108, 1.08413908,
+        1.22037117, 1.19070924, 1.37300659, 1.32222697, 1.23404414]])
 </pre></div></div>
 </div>
 <h3 id="Simulating-the-out-of-sample-x">Simulating the out-of-sample <code class="docutils literal notranslate"><span class="pre">x</span></code><a class="headerlink" href="#Simulating-the-out-of-sample-x" title="Link to this heading">¶</a></h3>
@@ -1567,8 +1567,8 @@ <h3 id="Simulating-the-out-of-sample-x">Simulating the out-of-sample <code class
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-array([[3.11596413, 4.94574   , 6.46627971, 7.57477582, 8.30789544,
-        8.71384095, 8.89916046, 8.994375  , 9.44519064, 9.63090577]])
+array([[3.21077105, 4.92071295, 6.36104612, 7.59856914, 8.52630442,
+        8.77916236, 8.8538268 , 8.91881848, 9.18739146, 9.36742011]])
 </pre></div></div>
 </div>
 <h2 id="Conditional-Mean-Alignment-vs.-Forecast-Alignment">Conditional Mean Alignment vs. Forecast Alignment<a class="headerlink" href="#Conditional-Mean-Alignment-vs.-Forecast-Alignment" title="Link to this heading">¶</a></h2>
@@ -1593,45 +1593,46 @@ <h2 id="Conditional-Mean-Alignment-vs.-Forecast-Alignment">Conditional Mean Alig
 <div class="output_area docutils container">
 <div class="highlight"><pre>
 0            NaN
-1      19.201886
-2      19.592296
-3      21.956620
-4      18.674146
+1      15.527460
+2      17.145197
+3      17.213133
+4      18.025002
          ...
-995     8.026979
-996    13.378036
-997    15.800237
-998    16.812645
-999    13.615690
+995    16.858582
+996    10.734250
+997     8.477494
+998     9.750082
+999    13.318992
 Length: 1000, dtype: float64
 </pre></div></div>
 </div>
 <h3 id="Conditional-Mean-uses-target-alignment">Conditional Mean uses target alignment<a class="headerlink" href="#Conditional-Mean-uses-target-alignment" title="Link to this heading">¶</a></h3>
-<p>When modeling the conditional mean in an AR-X, HAR-X, or LS model, the <span class="math notranslate nohighlight">\(X\)</span> data is target-aligned. This requires that when modeling the mean of <code class="docutils literal notranslate"><span class="pre">y[t]</span></code>, the correct values of <span class="math notranslate nohighlight">\(X\)</span> must appear in <code class="docutils literal notranslate"><span class="pre">x[t]</span></code>. Mathematically, the <span class="math notranslate nohighlight">\(X\)</span> matrix used when estimating a model should have the structure</p>
+<p>When modeling the conditional mean in an AR-X, HAR-X, or LS model, the <span class="math notranslate nohighlight">\(X\)</span> data is target-aligned. This requires that when modeling the mean of <code class="docutils literal notranslate"><span class="pre">y[t]</span></code>, the correct values of <span class="math notranslate nohighlight">\(X\)</span> must appear in <code class="docutils literal notranslate"><span class="pre">x[t]</span></code>. Mathematically, the <span class="math notranslate nohighlight">\(X\)</span> matrix used when estimating a model should have the structure (using the Python indexing convention of a T-element data set having indices 0, 1, …, T-1):</p>
 <div class="math notranslate nohighlight">
 \[\begin{split}\left[\begin{array}{c}
 X_{0}\\
 X_{1}\\
 \vdots\\
-X_{t-1}
+X_{T-1}
 \end{array}\right]\end{split}\]</div>
 <h3 id="forecast-uses-origin-alignment"><code class="docutils literal notranslate"><span class="pre">forecast</span></code> uses origin alignment<a class="headerlink" href="#forecast-uses-origin-alignment" title="Link to this heading">¶</a></h3>
 <p>Forecasting with <span class="math notranslate nohighlight">\(X\)</span> values aligns them differently. When producing a 1-step-ahead forecast for <span class="math notranslate nohighlight">\(Y_{t+1}\)</span> using information available at time <span class="math notranslate nohighlight">\(t\)</span>, the <span class="math notranslate nohighlight">\(X\)</span> values used for this forecast must appear in for <code class="docutils literal notranslate"><span class="pre">t</span></code>. This is needed since when once wants to produce true out-of-sample forecasts (see below), it must be the case that the final row of <code class="docutils literal notranslate"><span class="pre">x</span></code> passed <code class="docutils literal notranslate"><span class="pre">forecast</span></code> must all occur after the final time stamp of the most recent <span class="math notranslate nohighlight">\(Y\)</span> value. Mathematically, the <span class="math notranslate nohighlight">\(X\)</span>
 matrix used in forecasting should have the following structure (using Python indexing convention so that a <span class="math notranslate nohighlight">\(T\)</span> observation dataset will have indices 0, 1, …, T-1).</p>
 <div class="math notranslate nohighlight">
 \[\begin{split}\left[\begin{array}{cccc}
-E\left[X_{1|0}\right] &amp; E\left[X_{2|0}\right] &amp; \ldots &amp; E\left[X_{h|0}\right]\\
-E\left[X_{2|1}\right] &amp; E\left[X_{3|1}\right] &amp; \ldots &amp; E\left[X_{h+1|1}\right]\\
+E\left[X_{1}|\mathcal{F}_0\right] &amp; E\left[X_{2}|\mathcal{F}_0\right] &amp; \ldots &amp; E\left[X_{h|\mathcal{F}_0}\right]\\
+E\left[X_{2}|\mathcal{F}_1\right] &amp; E\left[X_{3}|\mathcal{F}_0\right] &amp; \ldots &amp; E\left[X_{h+1}|\mathcal{F}_1\right]\\
 \vdots &amp; \vdots &amp; \vdots &amp; \vdots\\
-E\left[X_{T|T-1}\right] &amp; E\left[X_{T+1|T-1}\right] &amp; \ldots &amp; E\left[X_{T+h-1|T-1}\right]
+E\left[X_{T}|\mathcal{F}_{T-1}\right] &amp; E\left[X_{T+1}|\mathcal{F}_{T-1}\right] &amp; \ldots &amp; E\left[X_{T+h-1}|\mathcal{F}_{T-1}\right]
 \end{array}\right]\end{split}\]</div>
+<p>where <span class="math notranslate nohighlight">\(|\mathcal{F}_{s}\)</span> is the time-<span class="math notranslate nohighlight">\(s\)</span> information set.</p>
 <p>If you use the same <code class="docutils literal notranslate"><span class="pre">x</span></code> value in the model when forecasting, you will see different values due to this alignment difference. Naively using the same <code class="docutils literal notranslate"><span class="pre">x</span></code> values ie equivalent to setting</p>
 <div class="math notranslate nohighlight">
-\[E\left[X_{j|j-1}] \right] = X_{j-1}\]</div>
+\[E\left[X_{s}|\mathcal{F}_{s-1} \right] = X_{s-1}\]</div>
 <p>In general this would not be correct when forecasting, and will always produce forecasts that differ from the conditional mean. In order to recover the conditional mean using the forecast function, it is necessary to <code class="docutils literal notranslate"><span class="pre">shift</span></code> the <span class="math notranslate nohighlight">\(X\)</span> values by -1, so that once shifted, the <code class="docutils literal notranslate"><span class="pre">x</span></code> values will have the relationship</p>
 <div class="math notranslate nohighlight">
-\[E\left[X_{j|j-1}] \right] = X_{j} .\]</div>
-<p>Here we shift the <span class="math notranslate nohighlight">\(X\)</span> data by <code class="docutils literal notranslate"><span class="pre">-1</span></code> so <code class="docutils literal notranslate"><span class="pre">x[j]</span></code> is treated as being in the information set for <code class="docutils literal notranslate"><span class="pre">y[j-1]</span></code>. Also note that the final forecast is <code class="docutils literal notranslate"><span class="pre">NaN</span></code>. Conceptually this must be the case because the value of <span class="math notranslate nohighlight">\(X\)</span> at 999 should be ahead of 999 (i.e., at observation 1,000), and we do not have this value.</p>
+\[E\left[X_{s}|\mathcal{F}_{s-1} \right] = X_{s} .\]</div>
+<p>Here we shift the <span class="math notranslate nohighlight">\(X\)</span> data by <code class="docutils literal notranslate"><span class="pre">-1</span></code> so <code class="docutils literal notranslate"><span class="pre">x[s]</span></code> is treated as being in the information set for <code class="docutils literal notranslate"><span class="pre">y[s-1]</span></code>. Also, note that the final forecast is <code class="docutils literal notranslate"><span class="pre">NaN</span></code>. Conceptually this must be the case because the value of <span class="math notranslate nohighlight">\(X\)</span> at 999 should be ahead of 999 (i.e., at observation 1,000), and we do not have this value.</p>
 <div class="nbinput docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span><code>[18]:
 </code></pre></div>
@@ -1671,23 +1672,23 @@ <h3 id="forecast-uses-origin-alignment"><code class="docutils literal notranslat
   <tbody>
     <tr>
       <th>0</th>
-      <td>19.201886</td>
+      <td>15.527460</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>19.592296</td>
+      <td>17.145197</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>21.956620</td>
+      <td>17.213133</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>18.674146</td>
+      <td>18.025002</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>16.099861</td>
+      <td>22.834203</td>
     </tr>
     <tr>
       <th>...</th>
@@ -1695,19 +1696,19 @@ <h3 id="forecast-uses-origin-alignment"><code class="docutils literal notranslat
     </tr>
     <tr>
       <th>995</th>
-      <td>13.378036</td>
+      <td>10.734250</td>
     </tr>
     <tr>
       <th>996</th>
-      <td>15.800237</td>
+      <td>8.477494</td>
     </tr>
     <tr>
       <th>997</th>
-      <td>16.812645</td>
+      <td>9.750082</td>
     </tr>
     <tr>
       <th>998</th>
-      <td>13.615690</td>
+      <td>13.318992</td>
     </tr>
     <tr>
       <th>999</th>
@@ -1766,23 +1767,23 @@ <h3 id="(Nearly)-out-of-sample-forecasts">(Nearly) out-of-sample forecasts<a cla
   <tbody>
     <tr>
       <th>0</th>
-      <td>20.103522</td>
+      <td>9.081665</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>16.232286</td>
+      <td>15.483518</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>18.559099</td>
+      <td>17.427116</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>17.916252</td>
+      <td>16.607654</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>18.682919</td>
+      <td>19.990744</td>
     </tr>
     <tr>
       <th>...</th>
@@ -1790,19 +1791,19 @@ <h3 id="(Nearly)-out-of-sample-forecasts">(Nearly) out-of-sample forecasts<a cla
     </tr>
     <tr>
       <th>995</th>
-      <td>10.738150</td>
+      <td>13.696883</td>
     </tr>
     <tr>
       <th>996</th>
-      <td>16.474858</td>
+      <td>9.501098</td>
     </tr>
     <tr>
       <th>997</th>
-      <td>17.336579</td>
+      <td>6.063016</td>
     </tr>
     <tr>
       <th>998</th>
-      <td>13.687288</td>
+      <td>9.900736</td>
     </tr>
     <tr>
       <th>999</th>
@@ -1869,16 +1870,16 @@ <h3 id="True-out-of-sample-forecasts">True out-of-sample forecasts<a class="head
   <tbody>
     <tr>
       <th>999</th>
-      <td>12.289069</td>
-      <td>11.367745</td>
-      <td>10.771001</td>
-      <td>10.384016</td>
-      <td>10.134274</td>
-      <td>9.97485</td>
-      <td>9.874886</td>
-      <td>9.813904</td>
-      <td>9.778258</td>
-      <td>9.758859</td>
+      <td>13.441362</td>
+      <td>13.239109</td>
+      <td>12.738644</td>
+      <td>12.165736</td>
+      <td>11.618694</td>
+      <td>11.134496</td>
+      <td>10.721741</td>
+      <td>10.376805</td>
+      <td>10.091564</td>
+      <td>9.856942</td>
     </tr>
   </tbody>
 </table>
diff --git a/devel/univariate/univariate_forecasting_with_exogenous_variables.ipynb b/devel/univariate/univariate_forecasting_with_exogenous_variables.ipynb
index 4ac71c544f..11a9332e28 100644
--- a/devel/univariate/univariate_forecasting_with_exogenous_variables.ipynb
+++ b/devel/univariate/univariate_forecasting_with_exogenous_variables.ipynb
@@ -38,10 +38,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:19.097788Z",
-     "iopub.status.busy": "2024-11-04T11:35:19.097478Z",
-     "iopub.status.idle": "2024-11-04T11:35:20.880379Z",
-     "shell.execute_reply": "2024-11-04T11:35:20.879435Z"
+     "iopub.execute_input": "2024-11-04T12:31:12.946673Z",
+     "iopub.status.busy": "2024-11-04T12:31:12.946380Z",
+     "iopub.status.idle": "2024-11-04T12:31:14.584147Z",
+     "shell.execute_reply": "2024-11-04T12:31:14.583402Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -83,10 +83,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:20.885754Z",
-     "iopub.status.busy": "2024-11-04T11:35:20.884445Z",
-     "iopub.status.idle": "2024-11-04T11:35:21.344726Z",
-     "shell.execute_reply": "2024-11-04T11:35:21.343733Z"
+     "iopub.execute_input": "2024-11-04T12:31:14.587488Z",
+     "iopub.status.busy": "2024-11-04T12:31:14.586876Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.041970Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.041205Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -137,10 +137,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:21.349804Z",
-     "iopub.status.busy": "2024-11-04T11:35:21.348672Z",
-     "iopub.status.idle": "2024-11-04T11:35:21.703453Z",
-     "shell.execute_reply": "2024-11-04T11:35:21.702478Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.045363Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.044729Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.360423Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.359526Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -152,7 +152,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -186,10 +186,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:21.765363Z",
-     "iopub.status.busy": "2024-11-04T11:35:21.764962Z",
-     "iopub.status.idle": "2024-11-04T11:35:21.778377Z",
-     "shell.execute_reply": "2024-11-04T11:35:21.777405Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.409635Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.409290Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.421276Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.420478Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -202,8 +202,8 @@
     {
      "data": {
       "text/plain": [
-       "array([5.10481468, 5.05240734, 5.02620367, 5.01310183, 5.00655092,\n",
-       "       5.00327546, 5.00163773, 5.00081886, 5.00040943, 5.00020472])"
+       "array([5.03283221, 5.01641611, 5.00820805, 5.00410403, 5.00205201,\n",
+       "       5.00102601, 5.000513  , 5.0002565 , 5.00012825, 5.00006413])"
       ]
      },
      "execution_count": 4,
@@ -248,10 +248,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:21.782303Z",
-     "iopub.status.busy": "2024-11-04T11:35:21.781712Z",
-     "iopub.status.idle": "2024-11-04T11:35:21.866595Z",
-     "shell.execute_reply": "2024-11-04T11:35:21.865682Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.424815Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.424245Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.495549Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.494709Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -267,29 +267,29 @@
      "text": [
       "                          AR-X - GARCH Model Results                          \n",
       "==============================================================================\n",
-      "Dep. Variable:                   data   R-squared:                       0.990\n",
-      "Mean Model:                      AR-X   Adj. R-squared:                  0.990\n",
-      "Vol Model:                      GARCH   Log-Likelihood:               -1431.95\n",
-      "Distribution:                  Normal   AIC:                           2877.90\n",
-      "Method:            Maximum Likelihood   BIC:                           2912.24\n",
+      "Dep. Variable:                   data   R-squared:                       0.991\n",
+      "Mean Model:                      AR-X   Adj. R-squared:                  0.991\n",
+      "Vol Model:                      GARCH   Log-Likelihood:               -1390.39\n",
+      "Distribution:                  Normal   AIC:                           2794.78\n",
+      "Method:            Maximum Likelihood   BIC:                           2829.13\n",
       "                                        No. Observations:                  999\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                      995\n",
-      "Time:                        11:35:21   Df Model:                            4\n",
+      "Time:                        12:31:15   Df Model:                            4\n",
       "                               Mean Model                               \n",
       "========================================================================\n",
       "                 coef    std err          t      P>|t|  95.0% Conf. Int.\n",
       "------------------------------------------------------------------------\n",
-      "Const          2.8481      0.175     16.230  3.113e-59 [  2.504,  3.192]\n",
-      "data[1]        0.7030  4.076e-03    172.485      0.000 [  0.695,  0.711]\n",
-      "x0             1.9892  2.542e-02     78.250      0.000 [  1.939,  2.039]\n",
-      "x1            -1.9746  2.723e-02    -72.509      0.000 [ -2.028, -1.921]\n",
+      "Const          2.8541      0.170     16.824  1.635e-63 [  2.522,  3.187]\n",
+      "data[1]        0.7032  3.639e-03    193.204      0.000 [  0.696,  0.710]\n",
+      "x0             1.9988  2.362e-02     84.615      0.000 [  1.952,  2.045]\n",
+      "x1            -1.9842  2.742e-02    -72.369      0.000 [ -2.038, -1.930]\n",
       "                             Volatility Model                             \n",
       "==========================================================================\n",
       "                 coef    std err          t      P>|t|    95.0% Conf. Int.\n",
       "--------------------------------------------------------------------------\n",
-      "omega          0.0772  3.133e-02      2.465  1.371e-02 [1.582e-02,  0.139]\n",
-      "alpha[1]       0.0901  2.510e-02      3.591  3.293e-04 [4.094e-02,  0.139]\n",
-      "beta[1]        0.8387  4.452e-02     18.838  3.654e-79   [  0.751,  0.926]\n",
+      "omega          0.1154  4.497e-02      2.565  1.031e-02 [2.722e-02,  0.204]\n",
+      "alpha[1]       0.0785  2.640e-02      2.975  2.926e-03 [2.681e-02,  0.130]\n",
+      "beta[1]        0.8014  6.117e-02     13.100  3.289e-39   [  0.681,  0.921]\n",
       "==========================================================================\n",
       "\n",
       "Covariance estimator: robust\n"
@@ -326,10 +326,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:21.871584Z",
-     "iopub.status.busy": "2024-11-04T11:35:21.870395Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.135919Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.134981Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.500093Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.499027Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.745026Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.744140Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -351,7 +351,7 @@
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -381,10 +381,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.141038Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.139812Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.156654Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.155759Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.749851Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.748723Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.764579Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.763755Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -426,10 +426,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.161567Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.160359Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.286667Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.285727Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.769201Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.768078Z",
+     "iopub.status.idle": "2024-11-04T12:31:15.869048Z",
+     "shell.execute_reply": "2024-11-04T12:31:15.868220Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -475,133 +475,133 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>990</th>\n",
-       "      <td>7.730108</td>\n",
-       "      <td>7.787503</td>\n",
-       "      <td>7.890355</td>\n",
-       "      <td>8.039606</td>\n",
-       "      <td>8.219401</td>\n",
-       "      <td>8.412242</td>\n",
-       "      <td>8.604159</td>\n",
-       "      <td>8.785702</td>\n",
-       "      <td>8.951361</td>\n",
-       "      <td>9.098587</td>\n",
+       "      <td>23.574232</td>\n",
+       "      <td>24.184688</td>\n",
+       "      <td>23.457877</td>\n",
+       "      <td>22.134477</td>\n",
+       "      <td>20.609805</td>\n",
+       "      <td>19.089958</td>\n",
+       "      <td>17.676570</td>\n",
+       "      <td>16.413562</td>\n",
+       "      <td>15.313296</td>\n",
+       "      <td>14.371394</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>991</th>\n",
-       "      <td>13.762935</td>\n",
-       "      <td>13.493430</td>\n",
-       "      <td>12.858808</td>\n",
-       "      <td>12.190980</td>\n",
-       "      <td>11.611163</td>\n",
-       "      <td>11.148651</td>\n",
-       "      <td>10.796170</td>\n",
-       "      <td>10.534729</td>\n",
-       "      <td>10.344082</td>\n",
-       "      <td>10.206572</td>\n",
+       "      <td>23.391861</td>\n",
+       "      <td>22.690869</td>\n",
+       "      <td>21.439125</td>\n",
+       "      <td>20.001786</td>\n",
+       "      <td>18.569993</td>\n",
+       "      <td>17.238395</td>\n",
+       "      <td>16.048082</td>\n",
+       "      <td>15.010730</td>\n",
+       "      <td>14.122332</td>\n",
+       "      <td>13.371071</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>992</th>\n",
-       "      <td>13.931439</td>\n",
-       "      <td>13.286085</td>\n",
-       "      <td>12.461913</td>\n",
-       "      <td>11.716061</td>\n",
-       "      <td>11.123246</td>\n",
-       "      <td>10.683864</td>\n",
-       "      <td>10.372811</td>\n",
-       "      <td>10.160282</td>\n",
-       "      <td>10.019659</td>\n",
-       "      <td>9.929719</td>\n",
+       "      <td>25.255768</td>\n",
+       "      <td>23.499000</td>\n",
+       "      <td>21.543405</td>\n",
+       "      <td>19.672211</td>\n",
+       "      <td>17.999540</td>\n",
+       "      <td>16.557743</td>\n",
+       "      <td>15.341305</td>\n",
+       "      <td>14.328759</td>\n",
+       "      <td>13.493443</td>\n",
+       "      <td>12.808605</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>993</th>\n",
-       "      <td>13.277199</td>\n",
-       "      <td>12.057514</td>\n",
-       "      <td>11.080017</td>\n",
-       "      <td>10.378560</td>\n",
-       "      <td>9.914566</td>\n",
-       "      <td>9.631723</td>\n",
-       "      <td>9.477417</td>\n",
-       "      <td>9.409382</td>\n",
-       "      <td>9.396233</td>\n",
-       "      <td>9.415842</td>\n",
+       "      <td>28.496529</td>\n",
+       "      <td>26.791664</td>\n",
+       "      <td>24.708677</td>\n",
+       "      <td>22.598020</td>\n",
+       "      <td>20.627476</td>\n",
+       "      <td>18.867701</td>\n",
+       "      <td>17.338291</td>\n",
+       "      <td>16.032817</td>\n",
+       "      <td>14.932516</td>\n",
+       "      <td>14.013745</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>994</th>\n",
-       "      <td>7.723261</td>\n",
-       "      <td>6.808237</td>\n",
-       "      <td>6.587439</td>\n",
-       "      <td>6.714732</td>\n",
-       "      <td>7.002304</td>\n",
-       "      <td>7.348833</td>\n",
-       "      <td>7.700787</td>\n",
-       "      <td>8.031245</td>\n",
-       "      <td>8.328115</td>\n",
-       "      <td>8.587494</td>\n",
+       "      <td>22.470856</td>\n",
+       "      <td>19.932870</td>\n",
+       "      <td>17.816867</td>\n",
+       "      <td>16.109586</td>\n",
+       "      <td>14.756549</td>\n",
+       "      <td>13.694667</td>\n",
+       "      <td>12.865441</td>\n",
+       "      <td>12.219273</td>\n",
+       "      <td>11.715944</td>\n",
+       "      <td>11.323618</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>995</th>\n",
-       "      <td>12.860308</td>\n",
-       "      <td>12.686606</td>\n",
-       "      <td>12.273454</td>\n",
-       "      <td>11.824363</td>\n",
-       "      <td>11.418753</td>\n",
-       "      <td>11.080144</td>\n",
-       "      <td>10.808521</td>\n",
-       "      <td>10.595274</td>\n",
-       "      <td>10.429791</td>\n",
-       "      <td>10.302121</td>\n",
+       "      <td>25.222384</td>\n",
+       "      <td>23.684687</td>\n",
+       "      <td>21.803961</td>\n",
+       "      <td>19.940765</td>\n",
+       "      <td>18.247341</td>\n",
+       "      <td>16.774514</td>\n",
+       "      <td>15.525438</td>\n",
+       "      <td>14.482448</td>\n",
+       "      <td>13.620310</td>\n",
+       "      <td>12.912569</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>996</th>\n",
-       "      <td>17.543268</td>\n",
-       "      <td>17.007492</td>\n",
-       "      <td>15.965260</td>\n",
-       "      <td>14.858901</td>\n",
-       "      <td>13.861451</td>\n",
-       "      <td>13.024029</td>\n",
-       "      <td>12.346048</td>\n",
-       "      <td>11.807807</td>\n",
-       "      <td>11.384995</td>\n",
-       "      <td>11.054625</td>\n",
+       "      <td>23.649885</td>\n",
+       "      <td>21.812372</td>\n",
+       "      <td>19.978453</td>\n",
+       "      <td>18.302041</td>\n",
+       "      <td>16.836961</td>\n",
+       "      <td>15.589270</td>\n",
+       "      <td>14.543655</td>\n",
+       "      <td>13.676611</td>\n",
+       "      <td>12.962878</td>\n",
+       "      <td>12.378435</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>997</th>\n",
-       "      <td>13.182799</td>\n",
-       "      <td>12.064435</td>\n",
-       "      <td>11.254060</td>\n",
-       "      <td>10.691007</td>\n",
-       "      <td>10.313301</td>\n",
-       "      <td>10.068552</td>\n",
-       "      <td>9.916169</td>\n",
-       "      <td>9.826251</td>\n",
-       "      <td>9.777496</td>\n",
-       "      <td>9.755103</td>\n",
+       "      <td>22.256693</td>\n",
+       "      <td>20.398623</td>\n",
+       "      <td>18.699419</td>\n",
+       "      <td>17.205901</td>\n",
+       "      <td>15.924374</td>\n",
+       "      <td>14.841916</td>\n",
+       "      <td>13.937519</td>\n",
+       "      <td>13.187852</td>\n",
+       "      <td>12.570141</td>\n",
+       "      <td>12.063518</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>998</th>\n",
-       "      <td>10.413635</td>\n",
-       "      <td>9.266262</td>\n",
-       "      <td>8.580070</td>\n",
-       "      <td>8.233426</td>\n",
-       "      <td>8.117691</td>\n",
-       "      <td>8.148123</td>\n",
-       "      <td>8.263492</td>\n",
-       "      <td>8.421927</td>\n",
-       "      <td>8.596161</td>\n",
-       "      <td>8.769366</td>\n",
+       "      <td>26.947307</td>\n",
+       "      <td>25.928049</td>\n",
+       "      <td>24.383327</td>\n",
+       "      <td>22.646091</td>\n",
+       "      <td>20.908875</td>\n",
+       "      <td>19.277038</td>\n",
+       "      <td>17.802222</td>\n",
+       "      <td>16.503543</td>\n",
+       "      <td>15.381047</td>\n",
+       "      <td>14.424210</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>999</th>\n",
-       "      <td>10.329565</td>\n",
-       "      <td>9.744141</td>\n",
-       "      <td>9.455254</td>\n",
-       "      <td>9.333989</td>\n",
-       "      <td>9.305960</td>\n",
-       "      <td>9.327857</td>\n",
-       "      <td>9.374401</td>\n",
-       "      <td>9.430951</td>\n",
-       "      <td>9.489202</td>\n",
-       "      <td>9.544653</td>\n",
+       "      <td>26.289402</td>\n",
+       "      <td>24.535316</td>\n",
+       "      <td>22.694467</td>\n",
+       "      <td>20.907669</td>\n",
+       "      <td>19.253787</td>\n",
+       "      <td>17.770828</td>\n",
+       "      <td>16.470867</td>\n",
+       "      <td>15.350302</td>\n",
+       "      <td>14.396729</td>\n",
+       "      <td>13.593420</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -609,28 +609,28 @@
       ],
       "text/plain": [
        "          h.01       h.02       h.03       h.04       h.05       h.06  \\\n",
-       "990   7.730108   7.787503   7.890355   8.039606   8.219401   8.412242   \n",
-       "991  13.762935  13.493430  12.858808  12.190980  11.611163  11.148651   \n",
-       "992  13.931439  13.286085  12.461913  11.716061  11.123246  10.683864   \n",
-       "993  13.277199  12.057514  11.080017  10.378560   9.914566   9.631723   \n",
-       "994   7.723261   6.808237   6.587439   6.714732   7.002304   7.348833   \n",
-       "995  12.860308  12.686606  12.273454  11.824363  11.418753  11.080144   \n",
-       "996  17.543268  17.007492  15.965260  14.858901  13.861451  13.024029   \n",
-       "997  13.182799  12.064435  11.254060  10.691007  10.313301  10.068552   \n",
-       "998  10.413635   9.266262   8.580070   8.233426   8.117691   8.148123   \n",
-       "999  10.329565   9.744141   9.455254   9.333989   9.305960   9.327857   \n",
+       "990  23.574232  24.184688  23.457877  22.134477  20.609805  19.089958   \n",
+       "991  23.391861  22.690869  21.439125  20.001786  18.569993  17.238395   \n",
+       "992  25.255768  23.499000  21.543405  19.672211  17.999540  16.557743   \n",
+       "993  28.496529  26.791664  24.708677  22.598020  20.627476  18.867701   \n",
+       "994  22.470856  19.932870  17.816867  16.109586  14.756549  13.694667   \n",
+       "995  25.222384  23.684687  21.803961  19.940765  18.247341  16.774514   \n",
+       "996  23.649885  21.812372  19.978453  18.302041  16.836961  15.589270   \n",
+       "997  22.256693  20.398623  18.699419  17.205901  15.924374  14.841916   \n",
+       "998  26.947307  25.928049  24.383327  22.646091  20.908875  19.277038   \n",
+       "999  26.289402  24.535316  22.694467  20.907669  19.253787  17.770828   \n",
        "\n",
        "          h.07       h.08       h.09       h.10  \n",
-       "990   8.604159   8.785702   8.951361   9.098587  \n",
-       "991  10.796170  10.534729  10.344082  10.206572  \n",
-       "992  10.372811  10.160282  10.019659   9.929719  \n",
-       "993   9.477417   9.409382   9.396233   9.415842  \n",
-       "994   7.700787   8.031245   8.328115   8.587494  \n",
-       "995  10.808521  10.595274  10.429791  10.302121  \n",
-       "996  12.346048  11.807807  11.384995  11.054625  \n",
-       "997   9.916169   9.826251   9.777496   9.755103  \n",
-       "998   8.263492   8.421927   8.596161   8.769366  \n",
-       "999   9.374401   9.430951   9.489202   9.544653  "
+       "990  17.676570  16.413562  15.313296  14.371394  \n",
+       "991  16.048082  15.010730  14.122332  13.371071  \n",
+       "992  15.341305  14.328759  13.493443  12.808605  \n",
+       "993  17.338291  16.032817  14.932516  14.013745  \n",
+       "994  12.865441  12.219273  11.715944  11.323618  \n",
+       "995  15.525438  14.482448  13.620310  12.912569  \n",
+       "996  14.543655  13.676611  12.962878  12.378435  \n",
+       "997  13.937519  13.187852  12.570141  12.063518  \n",
+       "998  17.802222  16.503543  15.381047  14.424210  \n",
+       "999  16.470867  15.350302  14.396729  13.593420  "
       ]
      },
      "execution_count": 8,
@@ -658,10 +658,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.292402Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.291160Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.612304Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.611328Z"
+     "iopub.execute_input": "2024-11-04T12:31:15.873594Z",
+     "iopub.status.busy": "2024-11-04T12:31:15.872503Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.168348Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.167538Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -673,7 +673,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -699,10 +699,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.637780Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.626628Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.705524Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.704605Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.173305Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.172208Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.242469Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.241749Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -757,10 +757,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.710216Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.709045Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.774226Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.773344Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.246290Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.245377Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.307188Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.306493Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -814,10 +814,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.778929Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.777809Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.847843Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.846993Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.310920Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.309979Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.353220Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.352592Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -833,38 +833,31 @@
      "text": [
       "                          AR-X - GARCH Model Results                          \n",
       "==============================================================================\n",
-      "Dep. Variable:                   data   R-squared:                       0.938\n",
-      "Mean Model:                      AR-X   Adj. R-squared:                  0.937\n",
-      "Vol Model:                      GARCH   Log-Likelihood:               -2349.72\n",
-      "Distribution:                  Normal   AIC:                           4711.43\n",
-      "Method:            Maximum Likelihood   BIC:                           4740.87\n",
+      "Dep. Variable:                   data   R-squared:                       0.948\n",
+      "Mean Model:                      AR-X   Adj. R-squared:                  0.948\n",
+      "Vol Model:                      GARCH   Log-Likelihood:               -2292.38\n",
+      "Distribution:                  Normal   AIC:                           4596.75\n",
+      "Method:            Maximum Likelihood   BIC:                           4626.19\n",
       "                                        No. Observations:                  999\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                      996\n",
-      "Time:                        11:35:22   Df Model:                            3\n",
+      "Time:                        12:31:16   Df Model:                            3\n",
       "                               Mean Model                               \n",
       "========================================================================\n",
       "                 coef    std err          t      P>|t|  95.0% Conf. Int.\n",
       "------------------------------------------------------------------------\n",
-      "Const         -6.7136      0.273    -24.608 1.043e-133 [ -7.248, -6.179]\n",
-      "data[1]        0.7515  1.102e-02     68.217      0.000 [  0.730,  0.773]\n",
-      "x0             1.8446  6.348e-02     29.056 1.288e-185 [  1.720,  1.969]\n",
+      "Const         -6.7803      0.298    -22.777 7.717e-115 [ -7.364, -6.197]\n",
+      "data[1]        0.7648  1.025e-02     74.582      0.000 [  0.745,  0.785]\n",
+      "x0             1.7949  6.373e-02     28.166 1.507e-174 [  1.670,  1.920]\n",
       "                             Volatility Model                             \n",
       "==========================================================================\n",
       "                 coef    std err          t      P>|t|    95.0% Conf. Int.\n",
       "--------------------------------------------------------------------------\n",
-      "omega          5.6886      2.414      2.357  1.843e-02   [  0.958, 10.419]\n",
-      "alpha[1]       0.1317  3.924e-02      3.355  7.927e-04 [5.475e-02,  0.209]\n",
-      "beta[1]        0.0000      0.376      0.000      1.000   [ -0.737,  0.737]\n",
+      "omega          2.9062      0.752      3.866  1.108e-04   [  1.433,  4.380]\n",
+      "alpha[1]       0.1131  3.655e-02      3.093  1.979e-03 [4.143e-02,  0.185]\n",
+      "beta[1]        0.3896      0.139      2.810  4.960e-03   [  0.118,  0.661]\n",
       "==========================================================================\n",
       "\n",
-      "Covariance estimator: robust"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\n"
+      "Covariance estimator: robust\n"
      ]
     }
    ],
@@ -887,10 +880,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.852648Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.851490Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.924128Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.923132Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.356819Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.355807Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.424069Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.423270Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -938,10 +931,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.929277Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.928112Z",
-     "iopub.status.idle": "2024-11-04T11:35:22.940714Z",
-     "shell.execute_reply": "2024-11-04T11:35:22.939843Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.427698Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.427418Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.438171Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.437462Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -954,8 +947,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[0.85155627, 1.09166573, 1.27068516, 1.33525325, 1.34994696,\n",
-       "        1.45983758, 1.33623444, 1.23021183, 1.35506573, 1.50930572]])"
+       "array([[0.92855758, 1.03764756, 1.16284144, 1.33985331, 1.43067754,\n",
+       "        1.32388539, 1.28793327, 1.31390094, 1.42633071, 1.44665818]])"
       ]
      },
      "execution_count": 14,
@@ -984,10 +977,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:22.945491Z",
-     "iopub.status.busy": "2024-11-04T11:35:22.944304Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.162523Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.161472Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.442141Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.441189Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.641007Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.640143Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -1033,10 +1026,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.165906Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.165575Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.171654Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.170935Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.645610Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.644571Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.652601Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.651835Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -1049,8 +1042,8 @@
     {
      "data": {
       "text/plain": [
-       "array([[2.95222892, 4.83130147, 6.11237289, 7.39444145, 8.15827407,\n",
-       "        8.60962017, 8.69458872, 8.83858878, 8.90767985, 9.28254572]])"
+       "array([[2.99830288, 4.92854111, 6.48452188, 7.57968677, 8.51120738,\n",
+       "        8.72819469, 8.73398988, 9.06111255, 9.11376726, 9.29242535]])"
       ]
      },
      "execution_count": 16,
@@ -1083,10 +1076,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.175221Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.174583Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.234920Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.234096Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.656753Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.655754Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.707804Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.706965Z"
     }
    },
    "outputs": [
@@ -1094,16 +1087,16 @@
      "data": {
       "text/plain": [
        "0            NaN\n",
-       "1      16.574996\n",
-       "2      13.793593\n",
-       "3       9.113307\n",
-       "4      10.637110\n",
+       "1      -4.350539\n",
+       "2      -4.554188\n",
+       "3      -8.151305\n",
+       "4      -8.699591\n",
        "         ...    \n",
-       "995    12.242438\n",
-       "996    16.861830\n",
-       "997    14.810902\n",
-       "998    12.375235\n",
-       "999    10.505238\n",
+       "995    27.033458\n",
+       "996    25.174675\n",
+       "997    23.623694\n",
+       "998    26.342809\n",
+       "999    26.506233\n",
        "Length: 1000, dtype: float64"
       ]
      },
@@ -1123,14 +1116,14 @@
    "metadata": {},
    "source": [
     "### Conditional Mean uses target alignment\n",
-    "When modeling the conditional mean in an AR-X, HAR-X, or LS model, the $X$ data is target-aligned.  This requires that when modeling the mean of ``y[t]``, the correct values of $X$ must appear in ``x[t]``. Mathematically, the $X$ matrix used when estimating a model should have the structure\n",
+    "When modeling the conditional mean in an AR-X, HAR-X, or LS model, the $X$ data is target-aligned.  This requires that when modeling the mean of ``y[t]``, the correct values of $X$ must appear in ``x[t]``. Mathematically, the $X$ matrix used when estimating a model should have the structure (using the Python indexing convention of a T-element data set having indices 0, 1, ..., T-1):\n",
     "\n",
     "$$\n",
     "\\left[\\begin{array}{c}\n",
     "X_{0}\\\\\n",
     "X_{1}\\\\\n",
     "\\vdots\\\\\n",
-    "X_{t-1}\n",
+    "X_{T-1}\n",
     "\\end{array}\\right]\n",
     "$$\n",
     "\n",
@@ -1143,22 +1136,24 @@
     "\n",
     "$$\n",
     "\\left[\\begin{array}{cccc}\n",
-    "E\\left[X_{1|0}\\right] & E\\left[X_{2|0}\\right] & \\ldots & E\\left[X_{h|0}\\right]\\\\\n",
-    "E\\left[X_{2|1}\\right] & E\\left[X_{3|1}\\right] & \\ldots & E\\left[X_{h+1|1}\\right]\\\\\n",
+    "E\\left[X_{1}|\\mathcal{F}_0\\right] & E\\left[X_{2}|\\mathcal{F}_0\\right] & \\ldots & E\\left[X_{h|\\mathcal{F}_0}\\right]\\\\\n",
+    "E\\left[X_{2}|\\mathcal{F}_1\\right] & E\\left[X_{3}|\\mathcal{F}_0\\right] & \\ldots & E\\left[X_{h+1}|\\mathcal{F}_1\\right]\\\\\n",
     "\\vdots & \\vdots & \\vdots & \\vdots\\\\\n",
-    "E\\left[X_{T|T-1}\\right] & E\\left[X_{T+1|T-1}\\right] & \\ldots & E\\left[X_{T+h-1|T-1}\\right]\n",
+    "E\\left[X_{T}|\\mathcal{F}_{T-1}\\right] & E\\left[X_{T+1}|\\mathcal{F}_{T-1}\\right] & \\ldots & E\\left[X_{T+h-1}|\\mathcal{F}_{T-1}\\right]\n",
     "\\end{array}\\right]\n",
     "$$\n",
     "\n",
+    "where $|\\mathcal{F}_{s}$ is the time-$s$ information set.\n",
+    "\n",
     "If you use the same ``x`` value in the model when forecasting, you will see different values due to this alignment difference. Naively using the same ``x`` values ie equivalent to setting\n",
     "\n",
-    "$$ E\\left[X_{j|j-1}] \\right] = X_{j-1} $$\n",
+    "$$ E\\left[X_{s}|\\mathcal{F}_{s-1} \\right] = X_{s-1} $$\n",
     "\n",
     "In general this would not be correct when forecasting, and will always produce forecasts that differ from the conditional mean.  In order to recover the conditional mean using the forecast function, it is necessary to ``shift`` the $X$ values by -1, so that once shifted, the ``x`` values will have the relationship\n",
     "\n",
-    "$$ E\\left[X_{j|j-1}] \\right] = X_{j} .$$\n",
+    "$$ E\\left[X_{s}|\\mathcal{F}_{s-1} \\right] = X_{s} .$$\n",
     "\n",
-    "Here we shift the $X$ data by ``-1`` so ``x[j]`` is treated as being in the information set for ``y[j-1]``. Also note that the final forecast is ``NaN``. Conceptually this must be the case because the value of $X$ at 999 should be ahead of 999 (i.e., at observation 1,000), and we do not have this value. "
+    "Here we shift the $X$ data by ``-1`` so ``x[s]`` is treated as being in the information set for ``y[s-1]``. Also, note that the final forecast is ``NaN``. Conceptually this must be the case because the value of $X$ at 999 should be ahead of 999 (i.e., at observation 1,000), and we do not have this value. "
    ]
   },
   {
@@ -1166,10 +1161,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.238941Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.238279Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.254993Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.254147Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.712187Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.711156Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.726307Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.725520Z"
     }
    },
    "outputs": [
@@ -1200,23 +1195,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>16.574996</td>\n",
+       "      <td>-4.350539</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>13.793593</td>\n",
+       "      <td>-4.554188</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>9.113307</td>\n",
+       "      <td>-8.151305</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>10.637110</td>\n",
+       "      <td>-8.699591</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>4.460672</td>\n",
+       "      <td>-6.732064</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1224,19 +1219,19 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>995</th>\n",
-       "      <td>16.861830</td>\n",
+       "      <td>25.174675</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>996</th>\n",
-       "      <td>14.810902</td>\n",
+       "      <td>23.623694</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>997</th>\n",
-       "      <td>12.375235</td>\n",
+       "      <td>26.342809</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>998</th>\n",
-       "      <td>10.505238</td>\n",
+       "      <td>26.506233</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>999</th>\n",
@@ -1249,16 +1244,16 @@
       ],
       "text/plain": [
        "           h.1\n",
-       "0    16.574996\n",
-       "1    13.793593\n",
-       "2     9.113307\n",
-       "3    10.637110\n",
-       "4     4.460672\n",
+       "0    -4.350539\n",
+       "1    -4.554188\n",
+       "2    -8.151305\n",
+       "3    -8.699591\n",
+       "4    -6.732064\n",
        "..         ...\n",
-       "995  16.861830\n",
-       "996  14.810902\n",
-       "997  12.375235\n",
-       "998  10.505238\n",
+       "995  25.174675\n",
+       "996  23.623694\n",
+       "997  26.342809\n",
+       "998  26.506233\n",
        "999        NaN\n",
        "\n",
        "[1000 rows x 1 columns]"
@@ -1291,10 +1286,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.259041Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.258372Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.283504Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.282674Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.730559Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.729511Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.762290Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.761260Z"
     }
    },
    "outputs": [
@@ -1325,23 +1320,23 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>19.510179</td>\n",
+       "      <td>-4.184553</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>12.789513</td>\n",
+       "      <td>-4.413541</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>11.858034</td>\n",
+       "      <td>-4.477862</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>7.775498</td>\n",
+       "      <td>-5.679386</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>10.912252</td>\n",
+       "      <td>-9.066428</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -1349,19 +1344,19 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>995</th>\n",
-       "      <td>13.939124</td>\n",
+       "      <td>24.556576</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>996</th>\n",
-       "      <td>15.857640</td>\n",
+       "      <td>23.259324</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>997</th>\n",
-       "      <td>13.418830</td>\n",
+       "      <td>22.261996</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>998</th>\n",
-       "      <td>9.751022</td>\n",
+       "      <td>26.724375</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>999</th>\n",
@@ -1374,16 +1369,16 @@
       ],
       "text/plain": [
        "           h.1\n",
-       "0    19.510179\n",
-       "1    12.789513\n",
-       "2    11.858034\n",
-       "3     7.775498\n",
-       "4    10.912252\n",
+       "0    -4.184553\n",
+       "1    -4.413541\n",
+       "2    -4.477862\n",
+       "3    -5.679386\n",
+       "4    -9.066428\n",
        "..         ...\n",
-       "995  13.939124\n",
-       "996  15.857640\n",
-       "997  13.418830\n",
-       "998   9.751022\n",
+       "995  24.556576\n",
+       "996  23.259324\n",
+       "997  22.261996\n",
+       "998  26.724375\n",
        "999        NaN\n",
        "\n",
        "[1000 rows x 1 columns]"
@@ -1420,10 +1415,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:23.287298Z",
-     "iopub.status.busy": "2024-11-04T11:35:23.286768Z",
-     "iopub.status.idle": "2024-11-04T11:35:23.352376Z",
-     "shell.execute_reply": "2024-11-04T11:35:23.351558Z"
+     "iopub.execute_input": "2024-11-04T12:31:16.765900Z",
+     "iopub.status.busy": "2024-11-04T12:31:16.765428Z",
+     "iopub.status.idle": "2024-11-04T12:31:16.825898Z",
+     "shell.execute_reply": "2024-11-04T12:31:16.824979Z"
     }
    },
    "outputs": [
@@ -1463,27 +1458,27 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>999</th>\n",
-       "      <td>10.395148</td>\n",
-       "      <td>9.878159</td>\n",
-       "      <td>9.650317</td>\n",
-       "      <td>9.580907</td>\n",
-       "      <td>9.596394</td>\n",
-       "      <td>9.654862</td>\n",
-       "      <td>9.732314</td>\n",
-       "      <td>9.815125</td>\n",
-       "      <td>9.895773</td>\n",
-       "      <td>9.970364</td>\n",
+       "      <td>26.310775</td>\n",
+       "      <td>24.667118</td>\n",
+       "      <td>22.981429</td>\n",
+       "      <td>21.365651</td>\n",
+       "      <td>19.880924</td>\n",
+       "      <td>18.55521</td>\n",
+       "      <td>17.395624</td>\n",
+       "      <td>16.396835</td>\n",
+       "      <td>15.546659</td>\n",
+       "      <td>14.829674</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "          h.01      h.02      h.03      h.04      h.05      h.06      h.07  \\\n",
-       "999  10.395148  9.878159  9.650317  9.580907  9.596394  9.654862  9.732314   \n",
+       "          h.01       h.02       h.03       h.04       h.05      h.06  \\\n",
+       "999  26.310775  24.667118  22.981429  21.365651  19.880924  18.55521   \n",
        "\n",
-       "         h.08      h.09      h.10  \n",
-       "999  9.815125  9.895773  9.970364  "
+       "          h.07       h.08       h.09       h.10  \n",
+       "999  17.395624  16.396835  15.546659  14.829674  "
       ]
      },
      "execution_count": 20,
diff --git a/devel/univariate/univariate_using_fixed_variance.html b/devel/univariate/univariate_using_fixed_variance.html
index f330e0e547..de9a91f016 100644
--- a/devel/univariate/univariate_using_fixed_variance.html
+++ b/devel/univariate/univariate_using_fixed_variance.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Using the Fixed Variance process - arch v7.1.1 (+16)</title>
+        <title>Using the Fixed Variance process - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
@@ -850,7 +850,7 @@ <h3 id="Initial-Mean-Model-Estimation">Initial Mean Model Estimation<a class="he
 Method:            Maximum Likelihood   BIC:                           4571.50
                                         No. Observations:                 1237
 Date:                Mon, Nov 04 2024   Df Residuals:                     1233
-Time:                        11:37:09   Df Model:                            4
+Time:                        12:33:04   Df Model:                            4
                                    Mean Model
 ================================================================================
                       coef    std err          t      P&gt;|t|     95.0% Conf. Int.
@@ -895,7 +895,7 @@ <h3 id="Initial-Volatility-Model-Estimation">Initial Volatility Model Estimation
 Method:            Maximum Likelihood   BIC:                           3902.35
                                         No. Observations:                 1237
 Date:                Mon, Nov 04 2024   Df Residuals:                     1237
-Time:                        11:37:09   Df Model:                            0
+Time:                        12:33:04   Df Model:                            0
                               Volatility Model
 ===========================================================================
                  coef    std err          t      P&gt;|t|     95.0% Conf. Int.
@@ -968,7 +968,7 @@ <h3 id="Re-estimating-the-mean-with-a-FixedVariance">Re-estimating the mean with
 Method:            Maximum Likelihood   BIC:                           3907.50
                                         No. Observations:                 1237
 Date:                Mon, Nov 04 2024   Df Residuals:                     1233
-Time:                        11:37:10   Df Model:                            4
+Time:                        12:33:05   Df Model:                            4
                                     Mean Model
 ==================================================================================
                       coef    std err          t      P&gt;|t|       95.0% Conf. Int.
@@ -1024,7 +1024,7 @@ <h3 id="Zig-Zag-estimation">Zig-Zag estimation<a class="headerlink" href="#Zig-Z
 Method:                     Maximum Likelihood   BIC:                           3899.96
                                                  No. Observations:                 1237
 Date:                         Mon, Nov 04 2024   Df Residuals:                     1233
-Time:                                 11:37:10   Df Model:                            4
+Time:                                 12:33:05   Df Model:                            4
                                     Mean Model
 =================================================================================
                       coef    std err          t      P&gt;|t|      95.0% Conf. Int.
@@ -1064,7 +1064,7 @@ <h3 id="Direct-Estimation">Direct Estimation<a class="headerlink" href="#Direct-
 Method:            Maximum Likelihood   BIC:                           3922.19
                                         No. Observations:                 1237
 Date:                Mon, Nov 04 2024   Df Residuals:                     1233
-Time:                        11:37:10   Df Model:                            4
+Time:                        12:33:05   Df Model:                            4
                                    Mean Model
 ================================================================================
                       coef    std err          t      P&gt;|t|     95.0% Conf. Int.
diff --git a/devel/univariate/univariate_using_fixed_variance.ipynb b/devel/univariate/univariate_using_fixed_variance.ipynb
index 70bc681d2c..cd74246c8d 100644
--- a/devel/univariate/univariate_using_fixed_variance.ipynb
+++ b/devel/univariate/univariate_using_fixed_variance.ipynb
@@ -23,10 +23,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:26.505557Z",
-     "iopub.status.busy": "2024-11-04T11:35:26.505287Z",
-     "iopub.status.idle": "2024-11-04T11:35:28.097536Z",
-     "shell.execute_reply": "2024-11-04T11:35:28.096612Z"
+     "iopub.execute_input": "2024-11-04T12:31:20.056428Z",
+     "iopub.status.busy": "2024-11-04T12:31:20.056156Z",
+     "iopub.status.idle": "2024-11-04T12:31:21.618460Z",
+     "shell.execute_reply": "2024-11-04T12:31:21.617574Z"
     }
    },
    "outputs": [],
@@ -55,10 +55,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:28.101910Z",
-     "iopub.status.busy": "2024-11-04T11:35:28.100685Z",
-     "iopub.status.idle": "2024-11-04T11:35:28.105633Z",
-     "shell.execute_reply": "2024-11-04T11:35:28.104852Z"
+     "iopub.execute_input": "2024-11-04T12:31:21.623309Z",
+     "iopub.status.busy": "2024-11-04T12:31:21.622105Z",
+     "iopub.status.idle": "2024-11-04T12:31:21.627101Z",
+     "shell.execute_reply": "2024-11-04T12:31:21.626324Z"
     }
    },
    "outputs": [],
@@ -79,10 +79,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:28.109723Z",
-     "iopub.status.busy": "2024-11-04T11:35:28.108676Z",
-     "iopub.status.idle": "2024-11-04T11:35:28.910078Z",
-     "shell.execute_reply": "2024-11-04T11:35:28.909295Z"
+     "iopub.execute_input": "2024-11-04T12:31:21.631182Z",
+     "iopub.status.busy": "2024-11-04T12:31:21.630184Z",
+     "iopub.status.idle": "2024-11-04T12:31:22.433856Z",
+     "shell.execute_reply": "2024-11-04T12:31:22.432907Z"
     }
    },
    "outputs": [
@@ -119,10 +119,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:28.913468Z",
-     "iopub.status.busy": "2024-11-04T11:35:28.913146Z",
-     "iopub.status.idle": "2024-11-04T11:35:28.933287Z",
-     "shell.execute_reply": "2024-11-04T11:35:28.932392Z"
+     "iopub.execute_input": "2024-11-04T12:31:22.438102Z",
+     "iopub.status.busy": "2024-11-04T12:31:22.437732Z",
+     "iopub.status.idle": "2024-11-04T12:31:22.460082Z",
+     "shell.execute_reply": "2024-11-04T12:31:22.459110Z"
     }
    },
    "outputs": [
@@ -139,7 +139,7 @@
       "Method:            Maximum Likelihood   BIC:                           4571.50\n",
       "                                        No. Observations:                 1237\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                     1233\n",
-      "Time:                        11:35:28   Df Model:                            4\n",
+      "Time:                        12:31:22   Df Model:                            4\n",
       "                                   Mean Model                                   \n",
       "================================================================================\n",
       "                      coef    std err          t      P>|t|     95.0% Conf. Int.\n",
@@ -181,10 +181,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:28.938146Z",
-     "iopub.status.busy": "2024-11-04T11:35:28.936977Z",
-     "iopub.status.idle": "2024-11-04T11:35:29.002073Z",
-     "shell.execute_reply": "2024-11-04T11:35:29.001152Z"
+     "iopub.execute_input": "2024-11-04T12:31:22.465497Z",
+     "iopub.status.busy": "2024-11-04T12:31:22.464254Z",
+     "iopub.status.idle": "2024-11-04T12:31:22.530695Z",
+     "shell.execute_reply": "2024-11-04T12:31:22.529736Z"
     }
    },
    "outputs": [
@@ -201,7 +201,7 @@
       "Method:            Maximum Likelihood   BIC:                           3902.35\n",
       "                                        No. Observations:                 1237\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                     1237\n",
-      "Time:                        11:35:28   Df Model:                            0\n",
+      "Time:                        12:31:22   Df Model:                            0\n",
       "                              Volatility Model                             \n",
       "===========================================================================\n",
       "                 coef    std err          t      P>|t|     95.0% Conf. Int.\n",
@@ -227,10 +227,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:29.006967Z",
-     "iopub.status.busy": "2024-11-04T11:35:29.005787Z",
-     "iopub.status.idle": "2024-11-04T11:35:30.067409Z",
-     "shell.execute_reply": "2024-11-04T11:35:30.066620Z"
+     "iopub.execute_input": "2024-11-04T12:31:22.535664Z",
+     "iopub.status.busy": "2024-11-04T12:31:22.534425Z",
+     "iopub.status.idle": "2024-11-04T12:31:23.617351Z",
+     "shell.execute_reply": "2024-11-04T12:31:23.616415Z"
     }
    },
    "outputs": [
@@ -265,10 +265,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:30.070052Z",
-     "iopub.status.busy": "2024-11-04T11:35:30.069598Z",
-     "iopub.status.idle": "2024-11-04T11:35:30.104566Z",
-     "shell.execute_reply": "2024-11-04T11:35:30.103809Z"
+     "iopub.execute_input": "2024-11-04T12:31:23.622381Z",
+     "iopub.status.busy": "2024-11-04T12:31:23.621202Z",
+     "iopub.status.idle": "2024-11-04T12:31:23.661008Z",
+     "shell.execute_reply": "2024-11-04T12:31:23.660096Z"
     }
    },
    "outputs": [
@@ -298,7 +298,7 @@
       "Method:            Maximum Likelihood   BIC:                           3907.50\n",
       "                                        No. Observations:                 1237\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                     1233\n",
-      "Time:                        11:35:30   Df Model:                            4\n",
+      "Time:                        12:31:23   Df Model:                            4\n",
       "                                    Mean Model                                    \n",
       "==================================================================================\n",
       "                      coef    std err          t      P>|t|       95.0% Conf. Int.\n",
@@ -341,10 +341,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:30.108772Z",
-     "iopub.status.busy": "2024-11-04T11:35:30.107749Z",
-     "iopub.status.idle": "2024-11-04T11:35:30.352833Z",
-     "shell.execute_reply": "2024-11-04T11:35:30.352047Z"
+     "iopub.execute_input": "2024-11-04T12:31:23.665805Z",
+     "iopub.status.busy": "2024-11-04T12:31:23.664663Z",
+     "iopub.status.idle": "2024-11-04T12:31:23.979505Z",
+     "shell.execute_reply": "2024-11-04T12:31:23.978579Z"
     }
    },
    "outputs": [
@@ -354,21 +354,21 @@
      "text": [
       "0\n",
       "1\n",
-      "2\n",
-      "3\n"
+      "2\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "4\n"
+      "3\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "4\n",
       "                    HAR - Fixed Variance (Unit Scale) Model Results                    \n",
       "=======================================================================================\n",
       "Dep. Variable:                       VIX Index   R-squared:                       0.876\n",
@@ -378,7 +378,7 @@
       "Method:                     Maximum Likelihood   BIC:                           3899.96\n",
       "                                                 No. Observations:                 1237\n",
       "Date:                         Mon, Nov 04 2024   Df Residuals:                     1233\n",
-      "Time:                                 11:35:30   Df Model:                            4\n",
+      "Time:                                 12:31:23   Df Model:                            4\n",
       "                                    Mean Model                                   \n",
       "=================================================================================\n",
       "                      coef    std err          t      P>|t|      95.0% Conf. Int.\n",
@@ -419,10 +419,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:30.356627Z",
-     "iopub.status.busy": "2024-11-04T11:35:30.355869Z",
-     "iopub.status.idle": "2024-11-04T11:35:30.462370Z",
-     "shell.execute_reply": "2024-11-04T11:35:30.461457Z"
+     "iopub.execute_input": "2024-11-04T12:31:23.984605Z",
+     "iopub.status.busy": "2024-11-04T12:31:23.983305Z",
+     "iopub.status.idle": "2024-11-04T12:31:24.091979Z",
+     "shell.execute_reply": "2024-11-04T12:31:24.091067Z"
     },
     "tags": []
    },
@@ -440,7 +440,7 @@
       "Method:            Maximum Likelihood   BIC:                           3922.19\n",
       "                                        No. Observations:                 1237\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                     1233\n",
-      "Time:                        11:35:30   Df Model:                            4\n",
+      "Time:                        12:31:24   Df Model:                            4\n",
       "                                   Mean Model                                   \n",
       "================================================================================\n",
       "                      coef    std err          t      P>|t|     95.0% Conf. Int.\n",
diff --git a/devel/univariate/univariate_volatility_forecasting.html b/devel/univariate/univariate_volatility_forecasting.html
index 5b3a760197..58d3029323 100644
--- a/devel/univariate/univariate_volatility_forecasting.html
+++ b/devel/univariate/univariate_volatility_forecasting.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Volatility Forecasting - arch v7.1.1 (+16)</title>
+        <title>Volatility Forecasting - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/univariate_volatility_forecasting.ipynb b/devel/univariate/univariate_volatility_forecasting.ipynb
index 30a19a5333..37201c0c38 100644
--- a/devel/univariate/univariate_volatility_forecasting.ipynb
+++ b/devel/univariate/univariate_volatility_forecasting.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:33.110765Z",
-     "iopub.status.busy": "2024-11-04T11:35:33.110459Z",
-     "iopub.status.idle": "2024-11-04T11:35:34.759958Z",
-     "shell.execute_reply": "2024-11-04T11:35:34.759034Z"
+     "iopub.execute_input": "2024-11-04T12:31:26.697765Z",
+     "iopub.status.busy": "2024-11-04T12:31:26.697443Z",
+     "iopub.status.idle": "2024-11-04T12:31:28.496785Z",
+     "shell.execute_reply": "2024-11-04T12:31:28.495824Z"
     }
    },
    "outputs": [],
@@ -50,10 +50,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:34.764282Z",
-     "iopub.status.busy": "2024-11-04T11:35:34.763136Z",
-     "iopub.status.idle": "2024-11-04T11:35:35.103695Z",
-     "shell.execute_reply": "2024-11-04T11:35:35.102809Z"
+     "iopub.execute_input": "2024-11-04T12:31:28.502206Z",
+     "iopub.status.busy": "2024-11-04T12:31:28.500899Z",
+     "iopub.status.idle": "2024-11-04T12:31:28.878498Z",
+     "shell.execute_reply": "2024-11-04T12:31:28.877461Z"
     }
    },
    "outputs": [],
@@ -92,10 +92,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:35.108858Z",
-     "iopub.status.busy": "2024-11-04T11:35:35.107777Z",
-     "iopub.status.idle": "2024-11-04T11:35:35.180260Z",
-     "shell.execute_reply": "2024-11-04T11:35:35.179555Z"
+     "iopub.execute_input": "2024-11-04T12:31:28.883803Z",
+     "iopub.status.busy": "2024-11-04T12:31:28.882541Z",
+     "iopub.status.idle": "2024-11-04T12:31:28.971789Z",
+     "shell.execute_reply": "2024-11-04T12:31:28.970649Z"
     }
    },
    "outputs": [
@@ -123,10 +123,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:35.184090Z",
-     "iopub.status.busy": "2024-11-04T11:35:35.183154Z",
-     "iopub.status.idle": "2024-11-04T11:35:35.189224Z",
-     "shell.execute_reply": "2024-11-04T11:35:35.188523Z"
+     "iopub.execute_input": "2024-11-04T12:31:28.977476Z",
+     "iopub.status.busy": "2024-11-04T12:31:28.976158Z",
+     "iopub.status.idle": "2024-11-04T12:31:28.983869Z",
+     "shell.execute_reply": "2024-11-04T12:31:28.982956Z"
     }
    },
    "outputs": [],
@@ -155,10 +155,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:35.193230Z",
-     "iopub.status.busy": "2024-11-04T11:35:35.192305Z",
-     "iopub.status.idle": "2024-11-04T11:35:35.202158Z",
-     "shell.execute_reply": "2024-11-04T11:35:35.201521Z"
+     "iopub.execute_input": "2024-11-04T12:31:28.989191Z",
+     "iopub.status.busy": "2024-11-04T12:31:28.987950Z",
+     "iopub.status.idle": "2024-11-04T12:31:29.001434Z",
+     "shell.execute_reply": "2024-11-04T12:31:29.000522Z"
     }
    },
    "outputs": [
@@ -196,10 +196,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:35.205840Z",
-     "iopub.status.busy": "2024-11-04T11:35:35.204910Z",
-     "iopub.status.idle": "2024-11-04T11:35:35.214152Z",
-     "shell.execute_reply": "2024-11-04T11:35:35.213520Z"
+     "iopub.execute_input": "2024-11-04T12:31:29.006487Z",
+     "iopub.status.busy": "2024-11-04T12:31:29.005255Z",
+     "iopub.status.idle": "2024-11-04T12:31:29.017808Z",
+     "shell.execute_reply": "2024-11-04T12:31:29.016873Z"
     }
    },
    "outputs": [
@@ -241,10 +241,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:35.217643Z",
-     "iopub.status.busy": "2024-11-04T11:35:35.216804Z",
-     "iopub.status.idle": "2024-11-04T11:35:35.377627Z",
-     "shell.execute_reply": "2024-11-04T11:35:35.376758Z"
+     "iopub.execute_input": "2024-11-04T12:31:29.022975Z",
+     "iopub.status.busy": "2024-11-04T12:31:29.021766Z",
+     "iopub.status.idle": "2024-11-04T12:31:29.202354Z",
+     "shell.execute_reply": "2024-11-04T12:31:29.201423Z"
     }
    },
    "outputs": [
@@ -271,7 +271,14 @@
       "2011-01-03  0.451724  0.460381  0.468976  0.477512  0.485987\n",
       "2011-01-04  0.428416  0.437236  0.445994  0.454691  0.463326\n",
       "2011-01-05  0.420554  0.429429  0.438242  0.446993  0.455683\n",
-      "2011-01-06  0.402483  0.411486  0.420425  0.429301  0.438115\n"
+      "2011-01-06  0.402483  0.411486  0.420425  0.429301  0.438115"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n"
      ]
     }
    ],
@@ -295,10 +302,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:35.382077Z",
-     "iopub.status.busy": "2024-11-04T11:35:35.380990Z",
-     "iopub.status.idle": "2024-11-04T11:35:37.876600Z",
-     "shell.execute_reply": "2024-11-04T11:35:37.875777Z"
+     "iopub.execute_input": "2024-11-04T12:31:29.207476Z",
+     "iopub.status.busy": "2024-11-04T12:31:29.206217Z",
+     "iopub.status.idle": "2024-11-04T12:31:31.758662Z",
+     "shell.execute_reply": "2024-11-04T12:31:31.757818Z"
     }
    },
    "outputs": [
@@ -501,10 +508,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:37.881145Z",
-     "iopub.status.busy": "2024-11-04T11:35:37.880072Z",
-     "iopub.status.idle": "2024-11-04T11:35:40.043175Z",
-     "shell.execute_reply": "2024-11-04T11:35:40.042493Z"
+     "iopub.execute_input": "2024-11-04T12:31:31.763004Z",
+     "iopub.status.busy": "2024-11-04T12:31:31.761937Z",
+     "iopub.status.idle": "2024-11-04T12:31:34.251500Z",
+     "shell.execute_reply": "2024-11-04T12:31:34.250640Z"
     }
    },
    "outputs": [
@@ -717,10 +724,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:40.045946Z",
-     "iopub.status.busy": "2024-11-04T11:35:40.045450Z",
-     "iopub.status.idle": "2024-11-04T11:35:40.103842Z",
-     "shell.execute_reply": "2024-11-04T11:35:40.103045Z"
+     "iopub.execute_input": "2024-11-04T12:31:34.256334Z",
+     "iopub.status.busy": "2024-11-04T12:31:34.255100Z",
+     "iopub.status.idle": "2024-11-04T12:31:34.330250Z",
+     "shell.execute_reply": "2024-11-04T12:31:34.329460Z"
     }
    },
    "outputs": [
@@ -734,7 +741,13 @@
       "            Current function value: 6822.882823437632\n",
       "            Iterations: 13\n",
       "            Function evaluations: 93\n",
-      "            Gradient evaluations: 13\n",
+      "            Gradient evaluations: 13\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "h.1    3.010188\n",
       "Name: 2018-12-31 00:00:00, dtype: float64\n"
      ]
@@ -762,10 +775,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:40.108526Z",
-     "iopub.status.busy": "2024-11-04T11:35:40.107022Z",
-     "iopub.status.idle": "2024-11-04T11:35:40.678854Z",
-     "shell.execute_reply": "2024-11-04T11:35:40.678039Z"
+     "iopub.execute_input": "2024-11-04T12:31:34.334796Z",
+     "iopub.status.busy": "2024-11-04T12:31:34.333731Z",
+     "iopub.status.idle": "2024-11-04T12:31:34.958989Z",
+     "shell.execute_reply": "2024-11-04T12:31:34.956503Z"
     }
    },
    "outputs": [
@@ -804,16 +817,16 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:40.682285Z",
-     "iopub.status.busy": "2024-11-04T11:35:40.681983Z",
-     "iopub.status.idle": "2024-11-04T11:35:41.165534Z",
-     "shell.execute_reply": "2024-11-04T11:35:41.164762Z"
+     "iopub.execute_input": "2024-11-04T12:31:34.962098Z",
+     "iopub.status.busy": "2024-11-04T12:31:34.961744Z",
+     "iopub.status.idle": "2024-11-04T12:31:35.690485Z",
+     "shell.execute_reply": "2024-11-04T12:31:35.689486Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -850,16 +863,16 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:41.168522Z",
-     "iopub.status.busy": "2024-11-04T11:35:41.168106Z",
-     "iopub.status.idle": "2024-11-04T11:35:41.922417Z",
-     "shell.execute_reply": "2024-11-04T11:35:41.921493Z"
+     "iopub.execute_input": "2024-11-04T12:31:35.694779Z",
+     "iopub.status.busy": "2024-11-04T12:31:35.694342Z",
+     "iopub.status.idle": "2024-11-04T12:31:36.518861Z",
+     "shell.execute_reply": "2024-11-04T12:31:36.517889Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
        "<Figure size 1600x600 with 1 Axes>"
       ]
@@ -900,10 +913,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:41.925881Z",
-     "iopub.status.busy": "2024-11-04T11:35:41.925573Z",
-     "iopub.status.idle": "2024-11-04T11:35:42.038125Z",
-     "shell.execute_reply": "2024-11-04T11:35:42.037354Z"
+     "iopub.execute_input": "2024-11-04T12:31:36.523890Z",
+     "iopub.status.busy": "2024-11-04T12:31:36.522711Z",
+     "iopub.status.idle": "2024-11-04T12:31:36.648631Z",
+     "shell.execute_reply": "2024-11-04T12:31:36.647515Z"
     }
    },
    "outputs": [],
@@ -927,10 +940,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:42.042506Z",
-     "iopub.status.busy": "2024-11-04T11:35:42.041239Z",
-     "iopub.status.idle": "2024-11-04T11:35:42.055540Z",
-     "shell.execute_reply": "2024-11-04T11:35:42.054738Z"
+     "iopub.execute_input": "2024-11-04T12:31:36.653864Z",
+     "iopub.status.busy": "2024-11-04T12:31:36.652675Z",
+     "iopub.status.idle": "2024-11-04T12:31:36.668955Z",
+     "shell.execute_reply": "2024-11-04T12:31:36.667902Z"
     }
    },
    "outputs": [
@@ -962,10 +975,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:42.059814Z",
-     "iopub.status.busy": "2024-11-04T11:35:42.058804Z",
-     "iopub.status.idle": "2024-11-04T11:35:42.746826Z",
-     "shell.execute_reply": "2024-11-04T11:35:42.746090Z"
+     "iopub.execute_input": "2024-11-04T12:31:36.673872Z",
+     "iopub.status.busy": "2024-11-04T12:31:36.672697Z",
+     "iopub.status.idle": "2024-11-04T12:31:37.405523Z",
+     "shell.execute_reply": "2024-11-04T12:31:37.404563Z"
     }
    },
    "outputs": [
@@ -1029,10 +1042,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:42.751118Z",
-     "iopub.status.busy": "2024-11-04T11:35:42.750101Z",
-     "iopub.status.idle": "2024-11-04T11:35:42.762610Z",
-     "shell.execute_reply": "2024-11-04T11:35:42.761666Z"
+     "iopub.execute_input": "2024-11-04T12:31:37.410711Z",
+     "iopub.status.busy": "2024-11-04T12:31:37.409482Z",
+     "iopub.status.idle": "2024-11-04T12:31:37.421992Z",
+     "shell.execute_reply": "2024-11-04T12:31:37.421119Z"
     }
    },
    "outputs": [
@@ -1058,10 +1071,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:42.767519Z",
-     "iopub.status.busy": "2024-11-04T11:35:42.766275Z",
-     "iopub.status.idle": "2024-11-04T11:35:43.400079Z",
-     "shell.execute_reply": "2024-11-04T11:35:43.399216Z"
+     "iopub.execute_input": "2024-11-04T12:31:37.426613Z",
+     "iopub.status.busy": "2024-11-04T12:31:37.425453Z",
+     "iopub.status.idle": "2024-11-04T12:31:38.159515Z",
+     "shell.execute_reply": "2024-11-04T12:31:38.158490Z"
     }
    },
    "outputs": [
diff --git a/devel/univariate/univariate_volatility_modeling.html b/devel/univariate/univariate_volatility_modeling.html
index 91232361e5..87bde4d71e 100644
--- a/devel/univariate/univariate_volatility_modeling.html
+++ b/devel/univariate/univariate_volatility_modeling.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>ARCH Modeling - arch v7.1.1 (+16)</title>
+        <title>ARCH Modeling - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
@@ -955,7 +955,7 @@ <h3 id="GARCH-(with-a-Constant-Mean)">GARCH (with a Constant Mean)<a class="head
 Method:            Maximum Likelihood   BIC:                           13907.5
                                         No. Observations:                 5030
 Date:                Mon, Nov 04 2024   Df Residuals:                     5029
-Time:                        11:37:16   Df Model:                            1
+Time:                        12:33:10   Df Model:                            1
                                  Mean Model
 ============================================================================
                  coef    std err          t      P&gt;|t|      95.0% Conf. Int.
@@ -1019,7 +1019,7 @@ <h3 id="GJR-GARCH">GJR-GARCH<a class="headerlink" href="#GJR-GARCH" title="Link
 Method:            Maximum Likelihood   BIC:                           13688.4
                                         No. Observations:                 5030
 Date:                Mon, Nov 04 2024   Df Residuals:                     5029
-Time:                        11:37:17   Df Model:                            1
+Time:                        12:33:12   Df Model:                            1
                                   Mean Model
 =============================================================================
                  coef    std err          t      P&gt;|t|       95.0% Conf. Int.
@@ -1079,7 +1079,7 @@ <h3 id="TARCH/ZARCH">TARCH/ZARCH<a class="headerlink" href="#TARCH/ZARCH" title=
 Method:            Maximum Likelihood   BIC:                           13641.0
                                         No. Observations:                 5030
 Date:                Mon, Nov 04 2024   Df Residuals:                     5029
-Time:                        11:37:17   Df Model:                            1
+Time:                        12:33:12   Df Model:                            1
                                   Mean Model
 =============================================================================
                  coef    std err          t      P&gt;|t|       95.0% Conf. Int.
@@ -1132,7 +1132,7 @@ <h3 id="Student's-T-Errors">Student’s T Errors<a class="headerlink" href="#Stu
 Method:                  Maximum Likelihood   BIC:                           13495.4
                                               No. Observations:                 5030
 Date:                      Mon, Nov 04 2024   Df Residuals:                     5029
-Time:                              11:37:17   Df Model:                            1
+Time:                              12:33:12   Df Model:                            1
                                  Mean Model
 ============================================================================
                  coef    std err          t      P&gt;|t|      95.0% Conf. Int.
@@ -1182,7 +1182,7 @@ <h2 id="Fixing-Parameters">Fixing Parameters<a class="headerlink" href="#Fixing-
 Method:            User-specified Parameters   BIC:                           13869.0
                                                No. Observations:                 5030
 Date:                       Mon, Nov 04 2024
-Time:                               11:37:17
+Time:                               12:33:12
       Mean Model
 =====================
                  coef
@@ -1319,7 +1319,7 @@ <h3 id="Mean-Models">Mean Models<a class="headerlink" href="#Mean-Models" title=
 Method:            Maximum Likelihood   BIC:                           6632.57
                                         No. Observations:                  719
 Date:                Mon, Nov 04 2024   Df Residuals:                      715
-Time:                        11:37:18   Df Model:                            4
+Time:                        12:33:13   Df Model:                            4
                                    Mean Model
 ===============================================================================
                    coef    std err          t      P&gt;|t|       95.0% Conf. Int.
@@ -1366,7 +1366,7 @@ <h3 id="Volatility-Processes">Volatility Processes<a class="headerlink" href="#V
 Method:            Maximum Likelihood   BIC:                           6414.97
                                         No. Observations:                  719
 Date:                Mon, Nov 04 2024   Df Residuals:                      715
-Time:                        11:37:18   Df Model:                            4
+Time:                        12:33:13   Df Model:                            4
                                    Mean Model
 ===============================================================================
                    coef    std err          t      P&gt;|t|       95.0% Conf. Int.
@@ -1435,7 +1435,7 @@ <h3 id="Distributions">Distributions<a class="headerlink" href="#Distributions"
 Method:                  Maximum Likelihood   BIC:                           6408.86
                                               No. Observations:                  719
 Date:                      Mon, Nov 04 2024   Df Residuals:                      715
-Time:                              11:37:19   Df Model:                            4
+Time:                              12:33:15   Df Model:                            4
                                    Mean Model
 ===============================================================================
                    coef    std err          t      P&gt;|t|       95.0% Conf. Int.
@@ -1726,33 +1726,33 @@ <h2 id="Simulation">Simulation<a class="headerlink" href="#Simulation" title="Li
   <tbody>
     <tr>
       <th>0</th>
-      <td>-0.303725</td>
-      <td>1.377338</td>
-      <td>-0.333090</td>
+      <td>-0.478716</td>
+      <td>4.196719</td>
+      <td>-0.508081</td>
     </tr>
     <tr>
       <th>1</th>
-      <td>0.457676</td>
-      <td>1.349071</td>
-      <td>0.428311</td>
+      <td>-10.406313</td>
+      <td>4.057987</td>
+      <td>-10.435678</td>
     </tr>
     <tr>
       <th>2</th>
-      <td>0.864983</td>
-      <td>1.321905</td>
-      <td>0.835618</td>
+      <td>-3.046437</td>
+      <td>4.913354</td>
+      <td>-3.075802</td>
     </tr>
     <tr>
       <th>3</th>
-      <td>-0.517549</td>
-      <td>1.304870</td>
-      <td>-0.546914</td>
+      <td>2.398336</td>
+      <td>4.825715</td>
+      <td>2.368971</td>
     </tr>
     <tr>
       <th>4</th>
-      <td>0.122408</td>
-      <td>1.286124</td>
-      <td>0.093042</td>
+      <td>2.117323</td>
+      <td>4.688330</td>
+      <td>2.087958</td>
     </tr>
   </tbody>
 </table>
diff --git a/devel/univariate/univariate_volatility_modeling.ipynb b/devel/univariate/univariate_volatility_modeling.ipynb
index 0fcca934de..ac3d7bfd00 100644
--- a/devel/univariate/univariate_volatility_modeling.ipynb
+++ b/devel/univariate/univariate_volatility_modeling.ipynb
@@ -19,10 +19,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:47.368997Z",
-     "iopub.status.busy": "2024-11-04T11:35:47.368776Z",
-     "iopub.status.idle": "2024-11-04T11:35:49.482309Z",
-     "shell.execute_reply": "2024-11-04T11:35:49.481436Z"
+     "iopub.execute_input": "2024-11-04T12:31:41.929808Z",
+     "iopub.status.busy": "2024-11-04T12:31:41.929511Z",
+     "iopub.status.idle": "2024-11-04T12:31:43.761755Z",
+     "shell.execute_reply": "2024-11-04T12:31:43.760718Z"
     },
     "pycharm": {
      "is_executing": false
@@ -59,10 +59,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:49.486142Z",
-     "iopub.status.busy": "2024-11-04T11:35:49.485253Z",
-     "iopub.status.idle": "2024-11-04T11:35:50.399053Z",
-     "shell.execute_reply": "2024-11-04T11:35:50.398260Z"
+     "iopub.execute_input": "2024-11-04T12:31:43.766899Z",
+     "iopub.status.busy": "2024-11-04T12:31:43.765498Z",
+     "iopub.status.idle": "2024-11-04T12:31:44.832227Z",
+     "shell.execute_reply": "2024-11-04T12:31:44.831287Z"
     },
     "pycharm": {
      "is_executing": false
@@ -137,10 +137,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:50.402737Z",
-     "iopub.status.busy": "2024-11-04T11:35:50.402405Z",
-     "iopub.status.idle": "2024-11-04T11:35:50.476300Z",
-     "shell.execute_reply": "2024-11-04T11:35:50.475374Z"
+     "iopub.execute_input": "2024-11-04T12:31:44.836567Z",
+     "iopub.status.busy": "2024-11-04T12:31:44.836211Z",
+     "iopub.status.idle": "2024-11-04T12:31:44.912376Z",
+     "shell.execute_reply": "2024-11-04T12:31:44.911466Z"
     },
     "pycharm": {
      "is_executing": false
@@ -167,7 +167,7 @@
       "Method:            Maximum Likelihood   BIC:                           13907.5\n",
       "                                        No. Observations:                 5030\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                     5029\n",
-      "Time:                        11:35:50   Df Model:                            1\n",
+      "Time:                        12:31:44   Df Model:                            1\n",
       "                                 Mean Model                                 \n",
       "============================================================================\n",
       "                 coef    std err          t      P>|t|      95.0% Conf. Int.\n",
@@ -206,10 +206,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:50.481306Z",
-     "iopub.status.busy": "2024-11-04T11:35:50.480120Z",
-     "iopub.status.idle": "2024-11-04T11:35:51.469482Z",
-     "shell.execute_reply": "2024-11-04T11:35:51.468555Z"
+     "iopub.execute_input": "2024-11-04T12:31:44.917303Z",
+     "iopub.status.busy": "2024-11-04T12:31:44.916140Z",
+     "iopub.status.idle": "2024-11-04T12:31:45.944230Z",
+     "shell.execute_reply": "2024-11-04T12:31:45.943251Z"
     },
     "pycharm": {
      "is_executing": false
@@ -258,10 +258,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:51.474331Z",
-     "iopub.status.busy": "2024-11-04T11:35:51.473168Z",
-     "iopub.status.idle": "2024-11-04T11:35:51.569674Z",
-     "shell.execute_reply": "2024-11-04T11:35:51.568747Z"
+     "iopub.execute_input": "2024-11-04T12:31:45.949523Z",
+     "iopub.status.busy": "2024-11-04T12:31:45.948302Z",
+     "iopub.status.idle": "2024-11-04T12:31:46.046338Z",
+     "shell.execute_reply": "2024-11-04T12:31:46.045415Z"
     },
     "pycharm": {
      "is_executing": false
@@ -281,7 +281,7 @@
       "Method:            Maximum Likelihood   BIC:                           13688.4\n",
       "                                        No. Observations:                 5030\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                     5029\n",
-      "Time:                        11:35:51   Df Model:                            1\n",
+      "Time:                        12:31:46   Df Model:                            1\n",
       "                                  Mean Model                                 \n",
       "=============================================================================\n",
       "                 coef    std err          t      P>|t|       95.0% Conf. Int.\n",
@@ -342,10 +342,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:51.574630Z",
-     "iopub.status.busy": "2024-11-04T11:35:51.573462Z",
-     "iopub.status.idle": "2024-11-04T11:35:51.669022Z",
-     "shell.execute_reply": "2024-11-04T11:35:51.668115Z"
+     "iopub.execute_input": "2024-11-04T12:31:46.051486Z",
+     "iopub.status.busy": "2024-11-04T12:31:46.050168Z",
+     "iopub.status.idle": "2024-11-04T12:31:46.150912Z",
+     "shell.execute_reply": "2024-11-04T12:31:46.149875Z"
     },
     "pycharm": {
      "is_executing": false
@@ -372,7 +372,7 @@
       "Method:            Maximum Likelihood   BIC:                           13641.0\n",
       "                                        No. Observations:                 5030\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                     5029\n",
-      "Time:                        11:35:51   Df Model:                            1\n",
+      "Time:                        12:31:46   Df Model:                            1\n",
       "                                  Mean Model                                 \n",
       "=============================================================================\n",
       "                 coef    std err          t      P>|t|       95.0% Conf. Int.\n",
@@ -419,10 +419,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:51.674127Z",
-     "iopub.status.busy": "2024-11-04T11:35:51.672909Z",
-     "iopub.status.idle": "2024-11-04T11:35:51.809680Z",
-     "shell.execute_reply": "2024-11-04T11:35:51.808738Z"
+     "iopub.execute_input": "2024-11-04T12:31:46.156276Z",
+     "iopub.status.busy": "2024-11-04T12:31:46.155003Z",
+     "iopub.status.idle": "2024-11-04T12:31:46.297366Z",
+     "shell.execute_reply": "2024-11-04T12:31:46.296455Z"
     },
     "pycharm": {
      "is_executing": false
@@ -434,18 +434,18 @@
      "output_type": "stream",
      "text": [
       "Iteration:      5,   Func. Count:     50,   Neg. LLF: 6728.995165345449\n",
-      "Iteration:     10,   Func. Count:     90,   Neg. LLF: 6722.151187114983\n",
-      "Optimization terminated successfully    (Exit mode 0)\n",
-      "            Current function value: 6722.1511835327055\n",
-      "            Iterations: 14\n",
-      "            Function evaluations: 117\n",
-      "            Gradient evaluations: 13\n"
+      "Iteration:     10,   Func. Count:     90,   Neg. LLF: 6722.151187114983\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Optimization terminated successfully    (Exit mode 0)\n",
+      "            Current function value: 6722.1511835327055\n",
+      "            Iterations: 14\n",
+      "            Function evaluations: 117\n",
+      "            Gradient evaluations: 13\n",
       "                     Constant Mean - TARCH/ZARCH Model Results                      \n",
       "====================================================================================\n",
       "Dep. Variable:                    Adj Close   R-squared:                       0.000\n",
@@ -455,7 +455,7 @@
       "Method:                  Maximum Likelihood   BIC:                           13495.4\n",
       "                                              No. Observations:                 5030\n",
       "Date:                      Mon, Nov 04 2024   Df Residuals:                     5029\n",
-      "Time:                              11:35:51   Df Model:                            1\n",
+      "Time:                              12:31:46   Df Model:                            1\n",
       "                                 Mean Model                                 \n",
       "============================================================================\n",
       "                 coef    std err          t      P>|t|      95.0% Conf. Int.\n",
@@ -501,10 +501,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:51.814567Z",
-     "iopub.status.busy": "2024-11-04T11:35:51.813393Z",
-     "iopub.status.idle": "2024-11-04T11:35:51.827857Z",
-     "shell.execute_reply": "2024-11-04T11:35:51.826949Z"
+     "iopub.execute_input": "2024-11-04T12:31:46.302540Z",
+     "iopub.status.busy": "2024-11-04T12:31:46.301309Z",
+     "iopub.status.idle": "2024-11-04T12:31:46.316005Z",
+     "shell.execute_reply": "2024-11-04T12:31:46.315128Z"
     },
     "pycharm": {
      "is_executing": false
@@ -524,7 +524,7 @@
       "Method:            User-specified Parameters   BIC:                           13869.0\n",
       "                                               No. Observations:                 5030\n",
       "Date:                       Mon, Nov 04 2024                                         \n",
-      "Time:                               11:35:51                                         \n",
+      "Time:                               12:31:46                                         \n",
       "      Mean Model     \n",
       "=====================\n",
       "                 coef\n",
@@ -560,10 +560,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:51.832808Z",
-     "iopub.status.busy": "2024-11-04T11:35:51.831609Z",
-     "iopub.status.idle": "2024-11-04T11:35:52.463764Z",
-     "shell.execute_reply": "2024-11-04T11:35:52.462791Z"
+     "iopub.execute_input": "2024-11-04T12:31:46.320985Z",
+     "iopub.status.busy": "2024-11-04T12:31:46.319807Z",
+     "iopub.status.idle": "2024-11-04T12:31:46.981496Z",
+     "shell.execute_reply": "2024-11-04T12:31:46.980560Z"
     },
     "pycharm": {
      "is_executing": false
@@ -654,10 +654,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:52.469124Z",
-     "iopub.status.busy": "2024-11-04T11:35:52.467909Z",
-     "iopub.status.idle": "2024-11-04T11:35:52.810689Z",
-     "shell.execute_reply": "2024-11-04T11:35:52.809792Z"
+     "iopub.execute_input": "2024-11-04T12:31:46.986958Z",
+     "iopub.status.busy": "2024-11-04T12:31:46.985564Z",
+     "iopub.status.idle": "2024-11-04T12:31:47.334708Z",
+     "shell.execute_reply": "2024-11-04T12:31:47.333763Z"
     },
     "pycharm": {
      "is_executing": false
@@ -695,10 +695,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:52.815523Z",
-     "iopub.status.busy": "2024-11-04T11:35:52.814372Z",
-     "iopub.status.idle": "2024-11-04T11:35:52.833227Z",
-     "shell.execute_reply": "2024-11-04T11:35:52.832375Z"
+     "iopub.execute_input": "2024-11-04T12:31:47.339647Z",
+     "iopub.status.busy": "2024-11-04T12:31:47.338470Z",
+     "iopub.status.idle": "2024-11-04T12:31:47.357937Z",
+     "shell.execute_reply": "2024-11-04T12:31:47.357038Z"
     },
     "pycharm": {
      "is_executing": false
@@ -718,7 +718,7 @@
       "Method:            Maximum Likelihood   BIC:                           6632.57\n",
       "                                        No. Observations:                  719\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                      715\n",
-      "Time:                        11:35:52   Df Model:                            4\n",
+      "Time:                        12:31:47   Df Model:                            4\n",
       "                                   Mean Model                                  \n",
       "===============================================================================\n",
       "                   coef    std err          t      P>|t|       95.0% Conf. Int.\n",
@@ -764,10 +764,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:52.838082Z",
-     "iopub.status.busy": "2024-11-04T11:35:52.836912Z",
-     "iopub.status.idle": "2024-11-04T11:35:52.988995Z",
-     "shell.execute_reply": "2024-11-04T11:35:52.988117Z"
+     "iopub.execute_input": "2024-11-04T12:31:47.362897Z",
+     "iopub.status.busy": "2024-11-04T12:31:47.361710Z",
+     "iopub.status.idle": "2024-11-04T12:31:47.519644Z",
+     "shell.execute_reply": "2024-11-04T12:31:47.518721Z"
     },
     "pycharm": {
      "is_executing": false
@@ -787,7 +787,7 @@
       "Method:            Maximum Likelihood   BIC:                           6414.97\n",
       "                                        No. Observations:                  719\n",
       "Date:                Mon, Nov 04 2024   Df Residuals:                      715\n",
-      "Time:                        11:35:52   Df Model:                            4\n",
+      "Time:                        12:31:47   Df Model:                            4\n",
       "                                   Mean Model                                  \n",
       "===============================================================================\n",
       "                   coef    std err          t      P>|t|       95.0% Conf. Int.\n",
@@ -832,10 +832,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:52.993793Z",
-     "iopub.status.busy": "2024-11-04T11:35:52.992620Z",
-     "iopub.status.idle": "2024-11-04T11:35:53.881665Z",
-     "shell.execute_reply": "2024-11-04T11:35:53.880737Z"
+     "iopub.execute_input": "2024-11-04T12:31:47.524721Z",
+     "iopub.status.busy": "2024-11-04T12:31:47.523503Z",
+     "iopub.status.idle": "2024-11-04T12:31:48.436425Z",
+     "shell.execute_reply": "2024-11-04T12:31:48.435495Z"
     },
     "pycharm": {
      "is_executing": false
@@ -878,10 +878,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:53.886424Z",
-     "iopub.status.busy": "2024-11-04T11:35:53.885271Z",
-     "iopub.status.idle": "2024-11-04T11:35:54.265243Z",
-     "shell.execute_reply": "2024-11-04T11:35:54.264273Z"
+     "iopub.execute_input": "2024-11-04T12:31:48.441827Z",
+     "iopub.status.busy": "2024-11-04T12:31:48.440424Z",
+     "iopub.status.idle": "2024-11-04T12:31:48.853012Z",
+     "shell.execute_reply": "2024-11-04T12:31:48.852098Z"
     },
     "pycharm": {
      "is_executing": false
@@ -901,7 +901,7 @@
       "Method:                  Maximum Likelihood   BIC:                           6408.86\n",
       "                                              No. Observations:                  719\n",
       "Date:                      Mon, Nov 04 2024   Df Residuals:                      715\n",
-      "Time:                              11:35:54   Df Model:                            4\n",
+      "Time:                              12:31:48   Df Model:                            4\n",
       "                                   Mean Model                                  \n",
       "===============================================================================\n",
       "                   coef    std err          t      P>|t|       95.0% Conf. Int.\n",
@@ -958,10 +958,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:54.270669Z",
-     "iopub.status.busy": "2024-11-04T11:35:54.269429Z",
-     "iopub.status.idle": "2024-11-04T11:35:54.628343Z",
-     "shell.execute_reply": "2024-11-04T11:35:54.627457Z"
+     "iopub.execute_input": "2024-11-04T12:31:48.858071Z",
+     "iopub.status.busy": "2024-11-04T12:31:48.856891Z",
+     "iopub.status.idle": "2024-11-04T12:31:49.221525Z",
+     "shell.execute_reply": "2024-11-04T12:31:49.220620Z"
     },
     "pycharm": {
      "is_executing": false
@@ -1111,10 +1111,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:54.633299Z",
-     "iopub.status.busy": "2024-11-04T11:35:54.632103Z",
-     "iopub.status.idle": "2024-11-04T11:35:55.486310Z",
-     "shell.execute_reply": "2024-11-04T11:35:55.485392Z"
+     "iopub.execute_input": "2024-11-04T12:31:49.226652Z",
+     "iopub.status.busy": "2024-11-04T12:31:49.225406Z",
+     "iopub.status.idle": "2024-11-04T12:31:50.206940Z",
+     "shell.execute_reply": "2024-11-04T12:31:50.205968Z"
     },
     "pycharm": {
      "is_executing": false
@@ -1170,10 +1170,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:55.491160Z",
-     "iopub.status.busy": "2024-11-04T11:35:55.490012Z",
-     "iopub.status.idle": "2024-11-04T11:35:55.687239Z",
-     "shell.execute_reply": "2024-11-04T11:35:55.686235Z"
+     "iopub.execute_input": "2024-11-04T12:31:50.211923Z",
+     "iopub.status.busy": "2024-11-04T12:31:50.210749Z",
+     "iopub.status.idle": "2024-11-04T12:31:50.408794Z",
+     "shell.execute_reply": "2024-11-04T12:31:50.407833Z"
     },
     "pycharm": {
      "is_executing": false,
@@ -1264,10 +1264,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:55.692477Z",
-     "iopub.status.busy": "2024-11-04T11:35:55.691179Z",
-     "iopub.status.idle": "2024-11-04T11:35:55.730245Z",
-     "shell.execute_reply": "2024-11-04T11:35:55.729310Z"
+     "iopub.execute_input": "2024-11-04T12:31:50.413786Z",
+     "iopub.status.busy": "2024-11-04T12:31:50.412561Z",
+     "iopub.status.idle": "2024-11-04T12:31:50.451471Z",
+     "shell.execute_reply": "2024-11-04T12:31:50.450544Z"
     },
     "pycharm": {
      "is_executing": false,
@@ -1304,33 +1304,33 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>-0.654894</td>\n",
-       "      <td>1.731423</td>\n",
-       "      <td>-0.684259</td>\n",
+       "      <td>0.706255</td>\n",
+       "      <td>1.283653</td>\n",
+       "      <td>0.676889</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>-1.122509</td>\n",
-       "      <td>1.695245</td>\n",
-       "      <td>-1.151874</td>\n",
+       "      <td>-1.037100</td>\n",
+       "      <td>1.264603</td>\n",
+       "      <td>-1.066465</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>-1.328236</td>\n",
-       "      <td>1.681510</td>\n",
-       "      <td>-1.357601</td>\n",
+       "      <td>-1.219343</td>\n",
+       "      <td>1.274831</td>\n",
+       "      <td>-1.248708</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>-0.354939</td>\n",
-       "      <td>1.681017</td>\n",
-       "      <td>-0.384304</td>\n",
+       "      <td>-2.174715</td>\n",
+       "      <td>1.297430</td>\n",
+       "      <td>-2.204080</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>-1.122396</td>\n",
-       "      <td>1.639477</td>\n",
-       "      <td>-1.151761</td>\n",
+       "      <td>0.681440</td>\n",
+       "      <td>1.415216</td>\n",
+       "      <td>0.652075</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1338,11 +1338,11 @@
       ],
       "text/plain": [
        "       data  volatility    errors\n",
-       "0 -0.654894    1.731423 -0.684259\n",
-       "1 -1.122509    1.695245 -1.151874\n",
-       "2 -1.328236    1.681510 -1.357601\n",
-       "3 -0.354939    1.681017 -0.384304\n",
-       "4 -1.122396    1.639477 -1.151761"
+       "0  0.706255    1.283653  0.676889\n",
+       "1 -1.037100    1.264603 -1.066465\n",
+       "2 -1.219343    1.274831 -1.248708\n",
+       "3 -2.174715    1.297430 -2.204080\n",
+       "4  0.681440    1.415216  0.652075"
       ]
      },
      "execution_count": 18,
@@ -1380,10 +1380,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:55.737165Z",
-     "iopub.status.busy": "2024-11-04T11:35:55.735427Z",
-     "iopub.status.idle": "2024-11-04T11:35:55.778023Z",
-     "shell.execute_reply": "2024-11-04T11:35:55.777044Z"
+     "iopub.execute_input": "2024-11-04T12:31:50.456335Z",
+     "iopub.status.busy": "2024-11-04T12:31:50.455107Z",
+     "iopub.status.idle": "2024-11-04T12:31:50.496323Z",
+     "shell.execute_reply": "2024-11-04T12:31:50.495402Z"
     },
     "pycharm": {
      "is_executing": false,
@@ -1500,10 +1500,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:55.783600Z",
-     "iopub.status.busy": "2024-11-04T11:35:55.782289Z",
-     "iopub.status.idle": "2024-11-04T11:35:55.821536Z",
-     "shell.execute_reply": "2024-11-04T11:35:55.820507Z"
+     "iopub.execute_input": "2024-11-04T12:31:50.501091Z",
+     "iopub.status.busy": "2024-11-04T12:31:50.499938Z",
+     "iopub.status.idle": "2024-11-04T12:31:50.537346Z",
+     "shell.execute_reply": "2024-11-04T12:31:50.536444Z"
     },
     "pycharm": {
      "is_executing": false,
diff --git a/devel/univariate/univariate_volatility_scenarios.html b/devel/univariate/univariate_volatility_scenarios.html
index 1f9e4792c8..e68e2c0bc3 100644
--- a/devel/univariate/univariate_volatility_scenarios.html
+++ b/devel/univariate/univariate_volatility_scenarios.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Volatility Scenarios - arch v7.1.1 (+16)</title>
+        <title>Volatility Scenarios - arch v7.1.1 (+18)</title>
       
     
 
@@ -93,7 +93,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -103,7 +103,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -190,10 +190,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
@@ -829,7 +829,7 @@ <h1 id="Volatility-Scenarios">Volatility Scenarios<a class="headerlink" href="#V
 Method:            Maximum Likelihood   BIC:                           16436.1
                                         No. Observations:                 5030
 Date:                Mon, Nov 04 2024   Df Residuals:                     5029
-Time:                        11:37:16   Df Model:                            1
+Time:                        12:33:12   Df Model:                            1
                                  Mean Model
 ============================================================================
                  coef    std err          t      P&gt;|t|      95.0% Conf. Int.
@@ -846,7 +846,7 @@ <h1 id="Volatility-Scenarios">Volatility Scenarios<a class="headerlink" href="#V
 =============================================================================
 
 Covariance estimator: robust
-ARCHModelResult, id: 0x7fa69c52dd50
+ARCHModelResult, id: 0x7f30167fc610
 </pre></div></div>
 </div>
 <p>GJR-GARCH models support analytical forecasts, which is the default. The forecasts are produced for all of 2017 using the estimated model parameters.</p>
diff --git a/devel/univariate/univariate_volatility_scenarios.ipynb b/devel/univariate/univariate_volatility_scenarios.ipynb
index 5293331275..57a78466ff 100644
--- a/devel/univariate/univariate_volatility_scenarios.ipynb
+++ b/devel/univariate/univariate_volatility_scenarios.ipynb
@@ -23,10 +23,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:35:59.517469Z",
-     "iopub.status.busy": "2024-11-04T11:35:59.517096Z",
-     "iopub.status.idle": "2024-11-04T11:36:01.540827Z",
-     "shell.execute_reply": "2024-11-04T11:36:01.539809Z"
+     "iopub.execute_input": "2024-11-04T12:31:54.399263Z",
+     "iopub.status.busy": "2024-11-04T12:31:54.398720Z",
+     "iopub.status.idle": "2024-11-04T12:31:56.068653Z",
+     "shell.execute_reply": "2024-11-04T12:31:56.067902Z"
     }
    },
    "outputs": [],
@@ -58,10 +58,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:01.544786Z",
-     "iopub.status.busy": "2024-11-04T11:36:01.544164Z",
-     "iopub.status.idle": "2024-11-04T11:36:01.596722Z",
-     "shell.execute_reply": "2024-11-04T11:36:01.595761Z"
+     "iopub.execute_input": "2024-11-04T12:31:56.073064Z",
+     "iopub.status.busy": "2024-11-04T12:31:56.071982Z",
+     "iopub.status.idle": "2024-11-04T12:31:56.121374Z",
+     "shell.execute_reply": "2024-11-04T12:31:56.120489Z"
     }
    },
    "outputs": [
@@ -107,10 +107,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:01.600514Z",
-     "iopub.status.busy": "2024-11-04T11:36:01.599951Z",
-     "iopub.status.idle": "2024-11-04T11:36:01.607249Z",
-     "shell.execute_reply": "2024-11-04T11:36:01.606424Z"
+     "iopub.execute_input": "2024-11-04T12:31:56.124911Z",
+     "iopub.status.busy": "2024-11-04T12:31:56.124117Z",
+     "iopub.status.idle": "2024-11-04T12:31:56.131932Z",
+     "shell.execute_reply": "2024-11-04T12:31:56.131106Z"
     }
    },
    "outputs": [],
@@ -137,10 +137,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:01.610502Z",
-     "iopub.status.busy": "2024-11-04T11:36:01.609957Z",
-     "iopub.status.idle": "2024-11-04T11:36:01.715008Z",
-     "shell.execute_reply": "2024-11-04T11:36:01.714120Z"
+     "iopub.execute_input": "2024-11-04T12:31:56.135055Z",
+     "iopub.status.busy": "2024-11-04T12:31:56.134557Z",
+     "iopub.status.idle": "2024-11-04T12:31:56.240723Z",
+     "shell.execute_reply": "2024-11-04T12:31:56.239815Z"
     }
    },
    "outputs": [
@@ -156,7 +156,7 @@
        "Method:            Maximum Likelihood   BIC:                           16436.1\n",
        "                                        No. Observations:                 5030\n",
        "Date:                Mon, Nov 04 2024   Df Residuals:                     5029\n",
-       "Time:                        11:36:01   Df Model:                            1\n",
+       "Time:                        12:31:56   Df Model:                            1\n",
        "                                 Mean Model                                 \n",
        "============================================================================\n",
        "                 coef    std err          t      P>|t|      95.0% Conf. Int.\n",
@@ -173,7 +173,7 @@
        "=============================================================================\n",
        "\n",
        "Covariance estimator: robust\n",
-       "ARCHModelResult, id: 0x7f51800ff730"
+       "ARCHModelResult, id: 0x7fdf4c639d50"
       ]
      },
      "execution_count": 4,
@@ -207,10 +207,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:01.718516Z",
-     "iopub.status.busy": "2024-11-04T11:36:01.717916Z",
-     "iopub.status.idle": "2024-11-04T11:36:02.598259Z",
-     "shell.execute_reply": "2024-11-04T11:36:02.597394Z"
+     "iopub.execute_input": "2024-11-04T12:31:56.244450Z",
+     "iopub.status.busy": "2024-11-04T12:31:56.243915Z",
+     "iopub.status.idle": "2024-11-04T12:31:57.091158Z",
+     "shell.execute_reply": "2024-11-04T12:31:57.090325Z"
     }
    },
    "outputs": [
@@ -257,10 +257,10 @@
    "metadata": {
     "collapsed": false,
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:02.602008Z",
-     "iopub.status.busy": "2024-11-04T11:36:02.601433Z",
-     "iopub.status.idle": "2024-11-04T11:36:02.673183Z",
-     "shell.execute_reply": "2024-11-04T11:36:02.672325Z"
+     "iopub.execute_input": "2024-11-04T12:31:57.094856Z",
+     "iopub.status.busy": "2024-11-04T12:31:57.094331Z",
+     "iopub.status.idle": "2024-11-04T12:31:57.165471Z",
+     "shell.execute_reply": "2024-11-04T12:31:57.164589Z"
     },
     "jupyter": {
      "outputs_hidden": false
@@ -299,10 +299,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:02.676457Z",
-     "iopub.status.busy": "2024-11-04T11:36:02.675905Z",
-     "iopub.status.idle": "2024-11-04T11:36:03.559816Z",
-     "shell.execute_reply": "2024-11-04T11:36:03.558963Z"
+     "iopub.execute_input": "2024-11-04T12:31:57.168793Z",
+     "iopub.status.busy": "2024-11-04T12:31:57.168276Z",
+     "iopub.status.idle": "2024-11-04T12:31:58.059810Z",
+     "shell.execute_reply": "2024-11-04T12:31:58.058915Z"
     }
    },
    "outputs": [
@@ -362,10 +362,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:03.563460Z",
-     "iopub.status.busy": "2024-11-04T11:36:03.562913Z",
-     "iopub.status.idle": "2024-11-04T11:36:04.379117Z",
-     "shell.execute_reply": "2024-11-04T11:36:04.378261Z"
+     "iopub.execute_input": "2024-11-04T12:31:58.063696Z",
+     "iopub.status.busy": "2024-11-04T12:31:58.063171Z",
+     "iopub.status.idle": "2024-11-04T12:31:58.885269Z",
+     "shell.execute_reply": "2024-11-04T12:31:58.884379Z"
     }
    },
    "outputs": [
@@ -426,10 +426,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:04.382717Z",
-     "iopub.status.busy": "2024-11-04T11:36:04.382172Z",
-     "iopub.status.idle": "2024-11-04T11:36:04.694037Z",
-     "shell.execute_reply": "2024-11-04T11:36:04.693143Z"
+     "iopub.execute_input": "2024-11-04T12:31:58.888896Z",
+     "iopub.status.busy": "2024-11-04T12:31:58.888393Z",
+     "iopub.status.idle": "2024-11-04T12:31:59.203185Z",
+     "shell.execute_reply": "2024-11-04T12:31:59.202289Z"
     }
    },
    "outputs": [
@@ -465,10 +465,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:04.697075Z",
-     "iopub.status.busy": "2024-11-04T11:36:04.696758Z",
-     "iopub.status.idle": "2024-11-04T11:36:04.702286Z",
-     "shell.execute_reply": "2024-11-04T11:36:04.701388Z"
+     "iopub.execute_input": "2024-11-04T12:31:59.206152Z",
+     "iopub.status.busy": "2024-11-04T12:31:59.205819Z",
+     "iopub.status.idle": "2024-11-04T12:31:59.210879Z",
+     "shell.execute_reply": "2024-11-04T12:31:59.210066Z"
     }
    },
    "outputs": [],
@@ -490,10 +490,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:04.705632Z",
-     "iopub.status.busy": "2024-11-04T11:36:04.705047Z",
-     "iopub.status.idle": "2024-11-04T11:36:07.609065Z",
-     "shell.execute_reply": "2024-11-04T11:36:07.608165Z"
+     "iopub.execute_input": "2024-11-04T12:31:59.213826Z",
+     "iopub.status.busy": "2024-11-04T12:31:59.213304Z",
+     "iopub.status.idle": "2024-11-04T12:32:01.903319Z",
+     "shell.execute_reply": "2024-11-04T12:32:01.902389Z"
     }
    },
    "outputs": [
@@ -555,10 +555,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-11-04T11:36:07.614797Z",
-     "iopub.status.busy": "2024-11-04T11:36:07.614209Z",
-     "iopub.status.idle": "2024-11-04T11:36:08.242120Z",
-     "shell.execute_reply": "2024-11-04T11:36:08.241209Z"
+     "iopub.execute_input": "2024-11-04T12:32:01.909025Z",
+     "iopub.status.busy": "2024-11-04T12:32:01.908433Z",
+     "iopub.status.idle": "2024-11-04T12:32:02.537812Z",
+     "shell.execute_reply": "2024-11-04T12:32:02.536909Z"
     }
    },
    "outputs": [
diff --git a/devel/univariate/utility.html b/devel/univariate/utility.html
index e6d1843c60..71cd2cc0c6 100644
--- a/devel/univariate/utility.html
+++ b/devel/univariate/utility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Utilities - arch v7.1.1 (+16)</title>
+        <title>Utilities - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">
diff --git a/devel/univariate/volatility.html b/devel/univariate/volatility.html
index 3627667b06..3ddd1e74a4 100644
--- a/devel/univariate/volatility.html
+++ b/devel/univariate/volatility.html
@@ -15,7 +15,7 @@
     
   
       
-        <title>Volatility Processes - arch v7.1.1 (+16)</title>
+        <title>Volatility Processes - arch v7.1.1 (+18)</title>
       
     
 
@@ -92,7 +92,7 @@
 
 <header class="md-header" data-md-component="header">
   <nav class="md-header__inner md-grid" aria-label="Header">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-header__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
     <label class="md-header__button md-icon" for="__drawer">
@@ -102,7 +102,7 @@
       <div class="md-header__ellipsis">
         <div class="md-header__topic">
           <span class="md-ellipsis">
-            arch v7.1.1 (+16)
+            arch v7.1.1 (+18)
           </span>
         </div>
         <div class="md-header__topic" data-md-component="header-topic">
@@ -189,10 +189,10 @@
 
 <nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
   <label class="md-nav__title" for="__drawer">
-    <a href="../index.html" title="arch v7.1.1 (+16)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+16)" data-md-component="logo">
+    <a href="../index.html" title="arch v7.1.1 (+18)" class="md-nav__button md-logo" aria-label="arch v7.1.1 (+18)" data-md-component="logo">
       <img src="../_static/bw-logo.svg" alt="logo">
     </a>
-    arch v7.1.1 (+16)
+    arch v7.1.1 (+18)
   </label>
   
     <div class="md-nav__source">