From 0836beac40d6f2b0469b86f21c241c3c420ec485 Mon Sep 17 00:00:00 2001
From: nriccobo <Nicholas.Riccobono@nrel.gov>
Date: Wed, 9 Aug 2023 19:44:17 -0400
Subject: [PATCH 1/4] Updated Example_06 to represent a 1.25MW stack

---
 .../example_run.ipynb                         | 597 +++++++++---------
 .../modeling_options.yaml                     |  10 +-
 2 files changed, 304 insertions(+), 303 deletions(-)

diff --git a/examples/example_06_conversion_efficiency/example_run.ipynb b/examples/example_06_conversion_efficiency/example_run.ipynb
index 3da0c54..f041570 100644
--- a/examples/example_06_conversion_efficiency/example_run.ipynb
+++ b/examples/example_06_conversion_efficiency/example_run.ipynb
@@ -1,314 +1,315 @@
 {
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Example Conversion Efficiency\n",
-    "\n",
-    "This example simulates a single electrolyzer stack with a linear ramping power signal. The electrolyzer is initialized as ON. The full structure for an electrolyzer model is defined in the source code, in `modeling_schema.yaml`.\n",
-    "\n",
-    "* Conversion is calculated based on the energy consumed per kg of hydrogen. Units are kWh/kg\n",
-    "\n",
-    "* Conversion efficiency is calculated by dividing the low-heating value of hydrogen (33.33 kWh/kg) by the actual conversion."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "\n",
-    "from electrolyzer import run_electrolyzer\n",
-    "from electrolyzer.inputs.validation import load_modeling_yaml\n",
-    "\n",
-    "import matplotlib.pyplot as plt\n",
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Load Electrolyzer configuration from YAML file\n",
-    "\n",
-    "This .yaml file initializes a 500kW electrolyzer stack as `ON` with the `BaselineDeg` controller. "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
+  "cells": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>power_signal</th>\n",
-       "      <th>curtailment</th>\n",
-       "      <th>kg_rate</th>\n",
-       "      <th>stack_1_deg</th>\n",
-       "      <th>stack_1_fatigue</th>\n",
-       "      <th>stack_1_cycles</th>\n",
-       "      <th>stack_1_uptime</th>\n",
-       "      <th>stack_1_kg_rate</th>\n",
-       "      <th>stack_1_curr_density</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>195</th>\n",
-       "      <td>589949.748744</td>\n",
-       "      <td>0.089950</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>6.041372e-08</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>196.0</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>2.08729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>196</th>\n",
-       "      <td>592462.311558</td>\n",
-       "      <td>0.092462</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>6.074780e-08</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>197.0</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>2.08729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>197</th>\n",
-       "      <td>594974.874372</td>\n",
-       "      <td>0.094975</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>6.108189e-08</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>198.0</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>2.08729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>198</th>\n",
-       "      <td>597487.437186</td>\n",
-       "      <td>0.097487</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>6.141598e-08</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>199.0</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>2.08729</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>199</th>\n",
-       "      <td>600000.000000</td>\n",
-       "      <td>0.100000</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>6.175006e-08</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>200.0</td>\n",
-       "      <td>0.002031</td>\n",
-       "      <td>2.08729</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "      power_signal  curtailment   kg_rate   stack_1_deg  stack_1_fatigue  \\\n",
-       "195  589949.748744     0.089950  0.002031  6.041372e-08                0   \n",
-       "196  592462.311558     0.092462  0.002031  6.074780e-08                0   \n",
-       "197  594974.874372     0.094975  0.002031  6.108189e-08                0   \n",
-       "198  597487.437186     0.097487  0.002031  6.141598e-08                0   \n",
-       "199  600000.000000     0.100000  0.002031  6.175006e-08                0   \n",
-       "\n",
-       "     stack_1_cycles  stack_1_uptime  stack_1_kg_rate  stack_1_curr_density  \n",
-       "195             0.0           196.0         0.002031               2.08729  \n",
-       "196             0.0           197.0         0.002031               2.08729  \n",
-       "197             0.0           198.0         0.002031               2.08729  \n",
-       "198             0.0           199.0         0.002031               2.08729  \n",
-       "199             0.0           200.0         0.002031               2.08729  "
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "# Example Conversion Efficiency\n",
+        "\n",
+        "This example simulates a single electrolyzer stack with a linear ramping power signal. The electrolyzer is initialized as ON. The full structure for an electrolyzer model is defined in the source code, in `modeling_schema.yaml`.\n",
+        "\n",
+        "* Conversion is calculated based on the energy consumed per kg of hydrogen. Units are kWh/kg\n",
+        "\n",
+        "* Conversion efficiency is calculated by dividing the low-heating value of hydrogen (33.33 kWh/kg) by the actual conversion."
       ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "fname_input_modeling = \"./modeling_options.yaml\"\n",
-    "model_input = load_modeling_yaml(fname_input_modeling)\n",
-    "\n",
-    "rated_power = model_input['electrolyzer']['stack']['stack_rating_kW']\n",
-    "\n",
-    "# Linear ramping power signal [W]\n",
-    "power_signal_input = np.linspace(1e5, 1.2e3 * rated_power, 200)\n",
-    "\n",
-    "elec_sys, results_df = run_electrolyzer(model_input, power_signal_input)\n",
-    "\n",
-    "results_df.tail()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Power Signal\n",
-    "* Linear ramp power signal \n",
-    "* Confirm that the stack is initialized at time = 0.0 seconds"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
+    },
     {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:title={'center':'Stack Up time'}, xlabel='Time (s)', ylabel='Time (s)'>"
+      "cell_type": "code",
+      "execution_count": 20,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import numpy as np\n",
+        "\n",
+        "from electrolyzer import run_electrolyzer\n",
+        "from electrolyzer.inputs.validation import load_modeling_yaml\n",
+        "\n",
+        "import matplotlib.pyplot as plt\n",
+        "%matplotlib inline"
       ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Load Electrolyzer configuration from YAML file\n",
+        "\n",
+        "This .yaml file initializes a 1.25MW electrolyzer stack as `ON` with the `BaselineDeg` controller. "
       ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
     },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+      "cell_type": "code",
+      "execution_count": 21,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>power_signal</th>\n",
+              "      <th>curtailment</th>\n",
+              "      <th>kg_rate</th>\n",
+              "      <th>stack_1_deg</th>\n",
+              "      <th>stack_1_fatigue</th>\n",
+              "      <th>stack_1_cycles</th>\n",
+              "      <th>stack_1_uptime</th>\n",
+              "      <th>stack_1_kg_rate</th>\n",
+              "      <th>stack_1_curr_density</th>\n",
+              "      <th>stack_2_deg</th>\n",
+              "      <th>stack_2_fatigue</th>\n",
+              "      <th>stack_2_cycles</th>\n",
+              "      <th>stack_2_uptime</th>\n",
+              "      <th>stack_2_kg_rate</th>\n",
+              "      <th>stack_2_curr_density</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1995</th>\n",
+              "      <td>1.497399e+06</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>381.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.193396</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>382.0</td>\n",
+              "      <td>1.207896e-177</td>\n",
+              "      <td>1.193396</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1996</th>\n",
+              "      <td>1.498049e+06</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>382.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.193845</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>383.0</td>\n",
+              "      <td>9.889416e-178</td>\n",
+              "      <td>1.193845</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1997</th>\n",
+              "      <td>1.498699e+06</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>383.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.194293</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>384.0</td>\n",
+              "      <td>8.096769e-178</td>\n",
+              "      <td>1.194293</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1998</th>\n",
+              "      <td>1.499350e+06</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>384.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.194742</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>385.0</td>\n",
+              "      <td>6.629074e-178</td>\n",
+              "      <td>1.194742</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1999</th>\n",
+              "      <td>1.500000e+06</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>385.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.195191</td>\n",
+              "      <td>0.000148</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>386.0</td>\n",
+              "      <td>5.427427e-178</td>\n",
+              "      <td>1.195191</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      power_signal  curtailment  kg_rate  stack_1_deg  stack_1_fatigue  \\\n",
+              "1995  1.497399e+06          0.0      0.0     0.000148                0   \n",
+              "1996  1.498049e+06          0.0      0.0     0.000148                0   \n",
+              "1997  1.498699e+06          0.0      0.0     0.000148                0   \n",
+              "1998  1.499350e+06          0.0      0.0     0.000148                0   \n",
+              "1999  1.500000e+06          0.0      0.0     0.000148                0   \n",
+              "\n",
+              "      stack_1_cycles  stack_1_uptime  stack_1_kg_rate  stack_1_curr_density  \\\n",
+              "1995             1.0           381.0              0.0              1.193396   \n",
+              "1996             1.0           382.0              0.0              1.193845   \n",
+              "1997             1.0           383.0              0.0              1.194293   \n",
+              "1998             1.0           384.0              0.0              1.194742   \n",
+              "1999             1.0           385.0              0.0              1.195191   \n",
+              "\n",
+              "      stack_2_deg  stack_2_fatigue  stack_2_cycles  stack_2_uptime  \\\n",
+              "1995     0.000148                0             1.0           382.0   \n",
+              "1996     0.000148                0             1.0           383.0   \n",
+              "1997     0.000148                0             1.0           384.0   \n",
+              "1998     0.000148                0             1.0           385.0   \n",
+              "1999     0.000148                0             1.0           386.0   \n",
+              "\n",
+              "      stack_2_kg_rate  stack_2_curr_density  \n",
+              "1995    1.207896e-177              1.193396  \n",
+              "1996    9.889416e-178              1.193845  \n",
+              "1997    8.096769e-178              1.194293  \n",
+              "1998    6.629074e-178              1.194742  \n",
+              "1999    5.427427e-178              1.195191  "
+            ]
+          },
+          "execution_count": 21,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "fname_input_modeling = \"./modeling_options.yaml\"\n",
+        "model_input = load_modeling_yaml(fname_input_modeling)\n",
+        "\n",
+        "rated_power = model_input['electrolyzer']['stack']['stack_rating_kW']\n",
+        "\n",
+        "# Linear ramping power signal [W]\n",
+        "power_signal_input = np.linspace(2e5, 1.2e3 * rated_power, 2000)\n",
+        "\n",
+        "elec_sys, results_df = run_electrolyzer(model_input, power_signal_input)\n",
+        "\n",
+        "results_df.tail()"
       ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Power input signal from DataFrame\n",
-    "results_df[\"power_signal\"].plot(title=\"Power Signal\", xlabel=\"Time (s)\", ylabel=\"Power (W)\")\n",
-    "\n",
-    "# Plot stack up-time to show start up delays \n",
-    "stack_uptime = results_df[[col for col in results_df.columns if \"_uptime\" in col]]\n",
-    "stack_uptime.plot(title=\"Stack Up time\", xlabel=\"Time (s)\", ylabel=\"Time (s)\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Co-Plot H2 rate and Conversion Efficiency\n",
-    "\n",
-    "* Converts DataFrame data to kW and kg/hr\n",
-    "* low-heating value (LHV) = 33.33 kWh/kg\n",
-    "* Rated power = 500kW "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Co-Plot H2 rate and Conversion Efficiency\n",
+        "\n",
+        "* Converts DataFrame data to kW and kg/hr\n",
+        "* low-heating value (LHV) = 33.33 kWh/kg\n",
+        "* Rated power = 1250kW "
+      ]
+    },
     {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
+      "cell_type": "code",
+      "execution_count": 22,
+      "metadata": {},
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Minimum Energy Conversion: inf kW/kg\n"
+          ]
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 640x480 with 2 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "power_kW = results_df['power_signal'] / 1e3\n",
+        "h2rate_kg_hr = results_df['kg_rate'] * 3600 \n",
+        "\n",
+        "lhv = 33.33 # kWh/kg\n",
+        "\n",
+        "eff_conv = lhv * h2rate_kg_hr / power_kW\n",
+        "\n",
+        "eta_kWh_kg = power_kW / h2rate_kg_hr\n",
+        "print(f\"Minimum Energy Conversion: {eta_kWh_kg.min():.2f} kW/kg\")\n",
+        "\n",
+        "fig, ax = plt.subplots()\n",
+        "ax.set_title('H2 Production and Conversion Efficiency')\n",
+        "ax.plot(power_kW, h2rate_kg_hr, label='H2 Production', color='green')\n",
+        "ax.set_xlabel(\"Total Power [kW]\")\n",
+        "ax.set_ylabel(\"Mass Flow-Rate [kg/hr]\")\n",
+        "ax.vlines(x=rated_power, ymin=0, ymax=1.2*h2rate_kg_hr.max(), linestyle='dashed', color='black', label='Rated-Power')\n",
+        "plt.legend(loc='lower right')\n",
+        "\n",
+        "ax2 = ax.twinx()\n",
+        "ax2.plot(power_kW, eff_conv, color='orange', label='Efficiency')\n",
+        "ax2.set_ylabel(\"Effiency\")\n",
+        "plt.legend()\n",
+        "plt.grid()"
       ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
     }
-   ],
-   "source": [
-    "power_kW = results_df['power_signal'] / 1e3\n",
-    "h2rate_kg_hr = results_df['kg_rate'] * 3600 \n",
-    "\n",
-    "lhv = 33.33 \n",
-    "eff_conv = lhv * h2rate_kg_hr / power_kW \n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "ax.set_title('H2 Production and Conversion Efficiency')\n",
-    "ax.plot(power_kW, h2rate_kg_hr, label='H2 Production', color='green')\n",
-    "ax.set_xlabel(\"Total Power [kW]\")\n",
-    "ax.set_ylabel(\"Mass Flow-Rate [kg/hr]\")\n",
-    "ax.vlines(x=rated_power, ymin=0, ymax=1.2*h2rate_kg_hr.max(), linestyle='dashed', color='black', label='Rated-Power')\n",
-    "plt.legend(loc='lower right')\n",
-    "\n",
-    "ax2 = ax.twinx()\n",
-    "ax2.plot(power_kW, eff_conv, color='orange', label='Efficiency')\n",
-    "ax2.set_ylabel(\"Effiency\")\n",
-    "plt.legend()\n",
-    "plt.grid()"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3.8.13 ('hopp')",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.8.13"
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3.8.13 ('hopp')",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.8.17"
+    },
+    "orig_nbformat": 4,
+    "vscode": {
+      "interpreter": {
+        "hash": "9a04511d318809dd12c12e36f25289adaaf050c85c4c458841c399d183c75e5d"
+      }
+    }
   },
-  "orig_nbformat": 4,
-  "vscode": {
-   "interpreter": {
-    "hash": "9a04511d318809dd12c12e36f25289adaaf050c85c4c458841c399d183c75e5d"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
+  "nbformat": 4,
+  "nbformat_minor": 2
 }
diff --git a/examples/example_06_conversion_efficiency/modeling_options.yaml b/examples/example_06_conversion_efficiency/modeling_options.yaml
index ec221c5..ab9a923 100644
--- a/examples/example_06_conversion_efficiency/modeling_options.yaml
+++ b/examples/example_06_conversion_efficiency/modeling_options.yaml
@@ -4,13 +4,13 @@ general:
 electrolyzer:
     dt: 1 # default
     initialize: True #
-    initial_power_kW: 500.
+    initial_power_kW: 1250.
     stack:
-        cell_area: 1000.0
-        max_current: 2000
+        cell_area: 1500.0
+        max_current: 3000
         temperature: 60
-        n_cells: 100
-        stack_rating_kW: 500.
+        n_cells: 200
+        stack_rating_kW: 1250.
     control:
         n_stacks: 1
         control_type: BaselineDeg # default

From 9294892920758481e1adcdaf535a60940c20a628 Mon Sep 17 00:00:00 2001
From: nriccobo <Nicholas.Riccobono@nrel.gov>
Date: Fri, 18 Aug 2023 12:42:14 -0600
Subject: [PATCH 2/4] adjustments to example06

---
 electrolyzer/cell.py                          |   2 +-
 .../example_run.ipynb                         | 186 +-----------------
 .../modeling_options.yaml                     |   2 +-
 3 files changed, 12 insertions(+), 178 deletions(-)

diff --git a/electrolyzer/cell.py b/electrolyzer/cell.py
index 3897183..8ba75d4 100644
--- a/electrolyzer/cell.py
+++ b/electrolyzer/cell.py
@@ -60,7 +60,7 @@ def calc_open_circuit_voltage(self, temperature):
         """Calculates open circuit voltage using the Nernst equation."""
         T_K = convert_temperature([temperature], "C", "K")[0]
         E_rev_0 = self.calc_reversible_voltage()
-        p_anode = P_ATMO  # (Pa) assumed atmo
+        p_anode = 30 * P_ATMO  # (Pa) assumed atmo
         p_cathode = P_ATMO
 
         # noqa: E501
diff --git a/examples/example_06_conversion_efficiency/example_run.ipynb b/examples/example_06_conversion_efficiency/example_run.ipynb
index f041570..47759c8 100644
--- a/examples/example_06_conversion_efficiency/example_run.ipynb
+++ b/examples/example_06_conversion_efficiency/example_run.ipynb
@@ -15,7 +15,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 20,
+      "execution_count": 1,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -39,177 +39,9 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 21,
+      "execution_count": 2,
       "metadata": {},
-      "outputs": [
-        {
-          "data": {
-            "text/html": [
-              "<div>\n",
-              "<style scoped>\n",
-              "    .dataframe tbody tr th:only-of-type {\n",
-              "        vertical-align: middle;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe tbody tr th {\n",
-              "        vertical-align: top;\n",
-              "    }\n",
-              "\n",
-              "    .dataframe thead th {\n",
-              "        text-align: right;\n",
-              "    }\n",
-              "</style>\n",
-              "<table border=\"1\" class=\"dataframe\">\n",
-              "  <thead>\n",
-              "    <tr style=\"text-align: right;\">\n",
-              "      <th></th>\n",
-              "      <th>power_signal</th>\n",
-              "      <th>curtailment</th>\n",
-              "      <th>kg_rate</th>\n",
-              "      <th>stack_1_deg</th>\n",
-              "      <th>stack_1_fatigue</th>\n",
-              "      <th>stack_1_cycles</th>\n",
-              "      <th>stack_1_uptime</th>\n",
-              "      <th>stack_1_kg_rate</th>\n",
-              "      <th>stack_1_curr_density</th>\n",
-              "      <th>stack_2_deg</th>\n",
-              "      <th>stack_2_fatigue</th>\n",
-              "      <th>stack_2_cycles</th>\n",
-              "      <th>stack_2_uptime</th>\n",
-              "      <th>stack_2_kg_rate</th>\n",
-              "      <th>stack_2_curr_density</th>\n",
-              "    </tr>\n",
-              "  </thead>\n",
-              "  <tbody>\n",
-              "    <tr>\n",
-              "      <th>1995</th>\n",
-              "      <td>1.497399e+06</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>381.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>1.193396</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>382.0</td>\n",
-              "      <td>1.207896e-177</td>\n",
-              "      <td>1.193396</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1996</th>\n",
-              "      <td>1.498049e+06</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>382.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>1.193845</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>383.0</td>\n",
-              "      <td>9.889416e-178</td>\n",
-              "      <td>1.193845</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1997</th>\n",
-              "      <td>1.498699e+06</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>383.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>1.194293</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>384.0</td>\n",
-              "      <td>8.096769e-178</td>\n",
-              "      <td>1.194293</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1998</th>\n",
-              "      <td>1.499350e+06</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>384.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>1.194742</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>385.0</td>\n",
-              "      <td>6.629074e-178</td>\n",
-              "      <td>1.194742</td>\n",
-              "    </tr>\n",
-              "    <tr>\n",
-              "      <th>1999</th>\n",
-              "      <td>1.500000e+06</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>385.0</td>\n",
-              "      <td>0.0</td>\n",
-              "      <td>1.195191</td>\n",
-              "      <td>0.000148</td>\n",
-              "      <td>0</td>\n",
-              "      <td>1.0</td>\n",
-              "      <td>386.0</td>\n",
-              "      <td>5.427427e-178</td>\n",
-              "      <td>1.195191</td>\n",
-              "    </tr>\n",
-              "  </tbody>\n",
-              "</table>\n",
-              "</div>"
-            ],
-            "text/plain": [
-              "      power_signal  curtailment  kg_rate  stack_1_deg  stack_1_fatigue  \\\n",
-              "1995  1.497399e+06          0.0      0.0     0.000148                0   \n",
-              "1996  1.498049e+06          0.0      0.0     0.000148                0   \n",
-              "1997  1.498699e+06          0.0      0.0     0.000148                0   \n",
-              "1998  1.499350e+06          0.0      0.0     0.000148                0   \n",
-              "1999  1.500000e+06          0.0      0.0     0.000148                0   \n",
-              "\n",
-              "      stack_1_cycles  stack_1_uptime  stack_1_kg_rate  stack_1_curr_density  \\\n",
-              "1995             1.0           381.0              0.0              1.193396   \n",
-              "1996             1.0           382.0              0.0              1.193845   \n",
-              "1997             1.0           383.0              0.0              1.194293   \n",
-              "1998             1.0           384.0              0.0              1.194742   \n",
-              "1999             1.0           385.0              0.0              1.195191   \n",
-              "\n",
-              "      stack_2_deg  stack_2_fatigue  stack_2_cycles  stack_2_uptime  \\\n",
-              "1995     0.000148                0             1.0           382.0   \n",
-              "1996     0.000148                0             1.0           383.0   \n",
-              "1997     0.000148                0             1.0           384.0   \n",
-              "1998     0.000148                0             1.0           385.0   \n",
-              "1999     0.000148                0             1.0           386.0   \n",
-              "\n",
-              "      stack_2_kg_rate  stack_2_curr_density  \n",
-              "1995    1.207896e-177              1.193396  \n",
-              "1996    9.889416e-178              1.193845  \n",
-              "1997    8.096769e-178              1.194293  \n",
-              "1998    6.629074e-178              1.194742  \n",
-              "1999    5.427427e-178              1.195191  "
-            ]
-          },
-          "execution_count": 21,
-          "metadata": {},
-          "output_type": "execute_result"
-        }
-      ],
+      "outputs": [],
       "source": [
         "fname_input_modeling = \"./modeling_options.yaml\"\n",
         "model_input = load_modeling_yaml(fname_input_modeling)\n",
@@ -217,11 +49,13 @@
         "rated_power = model_input['electrolyzer']['stack']['stack_rating_kW']\n",
         "\n",
         "# Linear ramping power signal [W]\n",
-        "power_signal_input = np.linspace(2e5, 1.2e3 * rated_power, 2000)\n",
+        "power_signal_input = np.linspace(1.2e3 * rated_power, 1.2e3 * rated_power, 2000)\n",
         "\n",
         "elec_sys, results_df = run_electrolyzer(model_input, power_signal_input)\n",
         "\n",
-        "results_df.tail()"
+        "results_df.tail()\n",
+        "\n",
+        "results_df.to_csv('results_singlestack_30bar_anode.csv')"
       ]
     },
     {
@@ -237,19 +71,19 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 22,
+      "execution_count": 3,
       "metadata": {},
       "outputs": [
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "Minimum Energy Conversion: inf kW/kg\n"
+            "Minimum Energy Conversion: 79.07 kW/kg\n"
           ]
         },
         {
           "data": {
-            "image/png": 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",
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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
diff --git a/examples/example_06_conversion_efficiency/modeling_options.yaml b/examples/example_06_conversion_efficiency/modeling_options.yaml
index ab9a923..2aad373 100644
--- a/examples/example_06_conversion_efficiency/modeling_options.yaml
+++ b/examples/example_06_conversion_efficiency/modeling_options.yaml
@@ -4,7 +4,7 @@ general:
 electrolyzer:
     dt: 1 # default
     initialize: True #
-    initial_power_kW: 1250.
+    initial_power_kW: 1500.
     stack:
         cell_area: 1500.0
         max_current: 3000

From 2f8956c3f27f0f9ce3479eba697df3e67583d912 Mon Sep 17 00:00:00 2001
From: nriccobo <Nicholas.Riccobono@nrel.gov>
Date: Wed, 20 Sep 2023 15:08:44 -0600
Subject: [PATCH 3/4] update example06 notebook

---
 .../example_run.ipynb                         | 142 ++++++++++++++++--
 1 file changed, 130 insertions(+), 12 deletions(-)

diff --git a/examples/example_06_conversion_efficiency/example_run.ipynb b/examples/example_06_conversion_efficiency/example_run.ipynb
index 47759c8..5140288 100644
--- a/examples/example_06_conversion_efficiency/example_run.ipynb
+++ b/examples/example_06_conversion_efficiency/example_run.ipynb
@@ -15,7 +15,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 1,
+      "execution_count": 37,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -34,28 +34,146 @@
       "source": [
         "## Load Electrolyzer configuration from YAML file\n",
         "\n",
-        "This .yaml file initializes a 1.25MW electrolyzer stack as `ON` with the `BaselineDeg` controller. "
+        "This .yaml file initializes a 1.25MW electrolyzer stack as `ON` with the `BaselineDeg` controller. \n",
+        "\n",
+        "The power signal ramps linearly from 10% to 120% of the stack's rated power."
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 2,
+      "execution_count": 40,
       "metadata": {},
-      "outputs": [],
+      "outputs": [
+        {
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>power_signal</th>\n",
+              "      <th>curtailment</th>\n",
+              "      <th>kg_rate</th>\n",
+              "      <th>stack_1_deg</th>\n",
+              "      <th>stack_1_fatigue</th>\n",
+              "      <th>stack_1_cycles</th>\n",
+              "      <th>stack_1_uptime</th>\n",
+              "      <th>stack_1_kg_rate</th>\n",
+              "      <th>stack_1_curr_density</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>995</th>\n",
+              "      <td>1.494494e+06</td>\n",
+              "      <td>0.244494</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>3.023609e-07</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>996.0</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>1.790017</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>996</th>\n",
+              "      <td>1.495871e+06</td>\n",
+              "      <td>0.245871</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>3.026906e-07</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>997.0</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>1.790017</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>997</th>\n",
+              "      <td>1.497247e+06</td>\n",
+              "      <td>0.247247</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>3.030203e-07</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>998.0</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>1.790017</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>998</th>\n",
+              "      <td>1.498624e+06</td>\n",
+              "      <td>0.248624</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>3.033501e-07</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>999.0</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>1.790017</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>999</th>\n",
+              "      <td>1.500000e+06</td>\n",
+              "      <td>0.250000</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>3.036798e-07</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1000.0</td>\n",
+              "      <td>0.005224</td>\n",
+              "      <td>1.790017</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     power_signal  curtailment   kg_rate   stack_1_deg  stack_1_fatigue  \\\n",
+              "995  1.494494e+06     0.244494  0.005224  3.023609e-07                0   \n",
+              "996  1.495871e+06     0.245871  0.005224  3.026906e-07                0   \n",
+              "997  1.497247e+06     0.247247  0.005224  3.030203e-07                0   \n",
+              "998  1.498624e+06     0.248624  0.005224  3.033501e-07                0   \n",
+              "999  1.500000e+06     0.250000  0.005224  3.036798e-07                0   \n",
+              "\n",
+              "     stack_1_cycles  stack_1_uptime  stack_1_kg_rate  stack_1_curr_density  \n",
+              "995             0.0           996.0         0.005224              1.790017  \n",
+              "996             0.0           997.0         0.005224              1.790017  \n",
+              "997             0.0           998.0         0.005224              1.790017  \n",
+              "998             0.0           999.0         0.005224              1.790017  \n",
+              "999             0.0          1000.0         0.005224              1.790017  "
+            ]
+          },
+          "execution_count": 40,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
       "source": [
         "fname_input_modeling = \"./modeling_options.yaml\"\n",
         "model_input = load_modeling_yaml(fname_input_modeling)\n",
         "\n",
         "rated_power = model_input['electrolyzer']['stack']['stack_rating_kW']\n",
         "\n",
-        "# Linear ramping power signal [W]\n",
-        "power_signal_input = np.linspace(1.2e3 * rated_power, 1.2e3 * rated_power, 2000)\n",
+        "# Linear ramp\n",
+        "power_signal_input = np.linspace( 0.1e3 * rated_power , 1.2e3 * rated_power, 1000)\n",
         "\n",
         "elec_sys, results_df = run_electrolyzer(model_input, power_signal_input)\n",
         "\n",
-        "results_df.tail()\n",
-        "\n",
-        "results_df.to_csv('results_singlestack_30bar_anode.csv')"
+        "results_df.tail()"
       ]
     },
     {
@@ -71,19 +189,19 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 3,
+      "execution_count": 39,
       "metadata": {},
       "outputs": [
         {
           "name": "stdout",
           "output_type": "stream",
           "text": [
-            "Minimum Energy Conversion: 79.07 kW/kg\n"
+            "Minimum Energy Conversion: 56.15 kW/kg\n"
           ]
         },
         {
           "data": {
-            "image/png": 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",
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l/i5dujB69GjWrFnD8OHDWb16NW5ubjRt2lR/jFarxcvLy6DW5EXJk4XUfl4dHBzYvXs3O3bsYNOmTQQHB7Nq1SoaNGjA1q1bXxqrsTL7e2YuWq2W8uXLM3PmzFRfL1KkiMFzU34dAgMDWbNmDfv376d8+fJs2LCBgQMHZuuR4cK8JDETmeaPP/6gb9++tG/fnnnz5mXZdZNGhp07dy7Fp9Zz587pX0/6/8KFCynKOHfunMHzpJqF5BPCJtVaJClWrBgAp06demWMxjRrFi1aNEU8oBv5mfS6Kfz222/06NGDGTNm6PfFxsamexLcF7++SV8X0NVGvK72DqBVq1YEBQXx888/vzYxe/F7ntzZs2fx9PRMtbb1dXx9falevTqrVq1i8ODBrF27lrZt2xpMaVK8eHH+/vtvatWqlaEPCWq1moYNG9KwYUNmzpzJlClTGDt2LDt27Ej1A0pm3bM5FS9eHK1WS2hoKJUqVTLqvOPHj9OwYcN0dxl4Ub58+XB1dX3t7zFA06ZNyZcvHytWrKBGjRrExMSkecCKEKmRlF5kit27d9O1a1fq1q3LihUrsvTTY9WqVfHy8mLhwoUGQ+X/+usvzpw5Q4sWLQDw9vamUqVKLFu2zKCpbtu2bSn6bRUtWhQrKyt2795tsH/+/PkGz/Ply0fdunVZvHgx169fN3jtxU/jSW+YaUl6mjdvzqFDhzhw4IB+X3R0NN999x0+Pj7p7g+XnJWVVYoag7lz56a7VrBRo0bY2Ngwd+5cg3Jnz56dpvNr1qxJ06ZN+eGHH1KMqgOIj49n1KhRgOH38sWv6alTp9i6datRTejJdenShX/++YfFixdz//59g2ZM0PUz0mg0+qasFyUmJqbpe/zw4cMU+5ISk+TTPSTJzHs2l7Zt26JWq5k0aVKKWtpX1WZ17tyZW7du8f3336d47enTp0RHRxsVh1qtpm3btvz555+prnjyYizW1tZ069aN1atXs3TpUsqXL5+mfrdCvIzUmAmTu3btGq1bt0alUtGxY0fWrFlj8HqFChUy9Q+XjY0NU6dOpVevXtSrV49u3brpp8vw8fExGNoeFBREixYtqF27Nr179+bhw4fMnTsXf39/oqKi9Me5ubnRqVMn5s6di0qlonjx4mzcuDFF3xWAb775htq1a/Pmm2/Sv39/fH19uXr1Kps2beLYsWMAVKlSBYCxY8fStWtXbGxsaNWqVao1HJ9++ikrV66kWbNmDB06FA8PD5YtW8aVK1f4/fffTZb0tmzZkp9++gk3Nzf8/Pw4cOAAf//9t376AGPly5ePUaNGERQURMuWLWnevDlHjx7lr7/+SvOUKcuXL6dx48a0b9+eVq1a0bBhQ5ycnLhw4QK//vord+7c0c9lNm3aNJo1a0bNmjXp06ePfuoINzc3JkyYkK57AN2b/qhRoxg1ahQeHh4paq/q1avHgAEDCAoK4tixYzRu3BgbGxsuXLjAmjVrmDNnjsGcZ6mZNGkSu3fvpkWLFhQtWpR79+4xf/58ChcubDDoI7nMuufUJCYm8vPPP6f6Wrt27UxSO1eiRAnGjh3LF198QZ06dWjfvj12dnb8+++/FCxYkKCgoFTPe//991m9ejUffPABO3bsoFatWmg0Gs6ePcvq1av188YZY8qUKWzdupV69erpp+C4c+cOa9asYe/evQb9HgMDA/nmm2/YsWNHmqceEeKlzDQaVGQjSdMjpDZsXFF0Q9dfnC4jaWj8y7bx48e/9pqAMmjQoFce87Ih+ElWrVqlVK5cWbGzs1M8PDyU7t27Kzdv3kxx3O+//66ULVtWsbOzU/z8/JS1a9cqPXr0MJguQ1EUJTw8XOnQoYPi6Oio5MmTRxkwYIBy6tSpFFMYKIqinDp1SmnXrp3i7u6u2NvbK6VLl1Y+//xzg2O++OILpVChQoparTaYOiP5dBmKoiiXLl1SOnbsqC+vevXqysaNG9P09UhtmoXUPHr0SOnVq5fi6empODs7K02aNFHOnj2bIp6X/TykNqWIRqNRJk6cqHh7eysODg5KQECAcurUqVTv8WViYmKU6dOnK9WqVVOcnZ0VW1tbpWTJksqQIUMMpjxQFEX5+++/lVq1aikODg6Kq6ur0qpVKyU0NNTgmKQpGpJPTZF0X6lNYVKrVi0FUPr27fvSOL/77julSpUqioODg+Li4qKUL19e+fjjj5Xbt2/rjylatKjSokWLFOeGhIQobdq0UQoWLKjY2toqBQsWVLp166acP39ef8zLvo+Zdc8vetV0GS+en9HpMpIsXrxY/7ubJ08epV69esq2bdv0ryefLkNRdNNUTJ06VfH399efV6VKFWXixInKkydP9Me97G9Laj+T165dUwIDA5V8+fIpdnZ2SrFixZRBgwYZTEeTxN/fX1Gr1an+jRHCGCpFyea9PoUQQggzq1y5Mh4eHoSEhJg7FJHNSR8zIYQQIgP+++8/jh07RmBgoLlDETmA1JgJIYQQ6XDq1CkOHz7MjBkzuH//PpcvXzbrQvMiZ5AaMyGEECIdfvvtN3r16kVCQgIrV66UpEyYhNSYCSGEEEJYCKkxE0IIIYSwEJKYCSGEEEJYiBw/wWxiYiJHjx4lf/78snaZEEIIkU1otVru3r1L5cqVsbbO8emKXo6/06NHj1K9enVzhyGEEEKIdDh06BDVqlUzdxhZJscnZvnz5wd031hvb28zRyOEEEKItLhz5w7Vq1fXv4/nFjk+MUtqvvT29qZw4cJmjkYIIYQQxsht3ZBy190KIYQQQlgwScyEEEIIISyEJGZCCCGEEBYix/cxE0IIkbNotVri4+PNHYbIIBsbG6ysrMwdhsWRxEwIIUS2ER8fz5UrV9BqteYORZiAu7s7BQoUQKVSmTsUiyGJmRBCiGxBURTu3LmDlZUVRYoUyXWj9XISRVGIiYnh3r17ADKd1QskMRNCCJEtJCYmEhMTQ8GCBXF0dDR3OCKDHBwcALh37x5eXl4ma9acN28e06ZNIywsjIoVKzJ37txXTjT/+PFjxo4dy9q1a3n48CFFixZl9uzZNG/e3CTxGEsSMyGEENmCRqMBwNbW1syRCFNJSrATEhJMkpitWrWKkSNHsnDhQmrUqMHs2bNp0qQJ586dw8vLK8Xx8fHxvPPOO3h5efHbb79RqFAhrl27hru7e4ZjSS9JzIQQQmQr0h8p5zD193LmzJn069ePXr16AbBw4UI2bdrE4sWL+fTTT1Mcv3jxYh4+fMj+/fuxsbEBwMfHx6QxGSvXJGaJiYkkJCSYOwwhhBDplJCQgKIoaLVa6fyfQ2i1WhRFSbXGLDExEYDIyEgiIiL0++3s7LCzs0tRVnx8PIcPH2b06NH6fWq1mkaNGnHgwIFUr79hwwZq1qzJoEGD+OOPP8iXLx/vvvsun3zyidlGjOaaxOzAgQPSJ0EIIbIxa2trChQoQFRUVI6bLuPu3bt88MEHHDp0CGtra65du5bqvjx58vDzzz/TokWL15b51VdfsWnTJvbs2ZMFd5A+8fHxPH36lN27d+sTsSQxMTEA+Pn5GewfP348EyZMSFHW/fv30Wg0KdbWzJ8/P2fPnk31+pcvX2b79u10796dzZs3c/HiRQYOHEhCQgLjx4/PwJ2lX65JzGrWrEmhQoXMHYYQQoh0io2N5caNGzg7O2Nvb2/ucIzSq1cvli9fnmJ/48aN+euvv5gyZQrh4eEcOXIENzc3XF1dU91369Yt8uTJk2qNUXJjxozhww8/xNXVNTNuySRiY2NxcHCgbt26Kb6nt27dAiA0NNTg/Tst955WWq0WLy8vvvvuO6ysrKhSpQq3bt1i2rRpkphlNmtra337sVlpNRAXDiorsHYGawdzRySEENmCRqNBpVKhVquz3VQZKpWKpk2bsmTJEoP9dnZ2qNVqLl++TJUqVShdurT+tdT2FSxYMM3XtOSELIlarUalUmFjY5PiPdraWpeiuLi4pOlePD09sbKy4u7duwb77969S4ECBVI9x9vbO8VEt2XLliUsLIz4+HizDDTJXj/Z2ZWiwLVVsLUWrHaAdd6w1gtWO8La/LClBux/D05/Bbc2QtRVUKT/hBBC5CR2dnYUKFDAYMuTJw8+Pj78/vvvLF++HJVKRc+ePVPdB7oEb/369foyb968Sbdu3fDw8MDJyYmqVaty8OBBACZMmEClSpUMYvjhhx8oW7Ys9vb2lClThvnz5+tfu3r1KiqVirVr11K/fn0cHR2pWLFiiv5Z+/btIyAgAEdHR/LkyUOTJk149OgRy5cvJ2/evMTFxRkc37ZtW95//33TfSFfwtbWlipVqhASEqLfp9VqCQkJoWbNmqmeU6tWLS5evGjQZ/H8+fN4e3ubbfRvrqkxMxtFC//0hivLXtipAhTdw9h7uu3BIcPzrJ3AzR/cyoF7uef/2xcAGZEkhBC6D72aGKNP02g0HD9+HICKFSumr5O3laPJ/hb/+++/BAYG4urqypw5c3BwcCA+Pj7FvuSioqKoV68ehQoVYsOGDRQoUIAjR468dGDEihUrGDduHN9++y2VK1fm6NGj9OvXDycnJ3r06KE/buzYsUyfPp2SJUsyduxYunXrxsWLF7G2tubYsWM0bNiQ3r17M2fOHKytrdmxYwcajYZOnToxdOhQNmzYQKdOnQDdHGWbNm1i69atJvlavc7IkSPp0aMHVatWpXr16syePZvo6Gj9KM3AwEAKFSpEUFAQAP/73//49ttvGTZsGEOGDOHChQtMmTKFoUOHZkm8qZHELLOdnKBLylTW4D8GivUAJx9ABQlPIPoqRF2BiHPw5BQ8PgURZyAxWpesJU/YbD2eJWrJkjY7j6y/NyGEMCdNDKx2Nvo0K+DNpCcX03ntzlG6D9BG2LhxI87OhvGOGTOGMWPGYGdnh4ODg0GTW2r7XvTLL78QHh7Ov//+i4eH7j2gRIkSL73++PHjmTFjBu3btwfA19eX0NBQFi1aZJCYjRo1Sj+4YOLEifj7+3Px4kXKlCnD119/TdWqVQ1q2vz9/fWP3333XZYsWaJPzH7++WfeeOMNAgIC0vIlyrAuXboQHh7OuHHjCAsLo1KlSgQHB+sHBFy/ft2gGbxIkSJs2bKFESNGUKFCBQoVKsSwYcP45JNPsiTe1EhilpkiL0LoV7rHNX6EYoGGr9u6g20lyFPJcL82UXfuk1Pw+KTu/yenIfICxD+Ee7t124scvHUJ2ovJmpsf2Bj/R0sIIYTp1a9fnwULFhjsS0qo0uPYsWNUrlw5TWVER0dz6dIl+vTpQ79+/fT7ExMTcXNzMzi2QoUK+sdJSyXdu3ePMmXKcOzYMX3SlZp+/fpRrVo1bt26RaFChVi6dCk9e/bM0rnnBg8ezODBg1N9befOnSn21axZk3/++SeTo0o7ScwyU+hXoE0A76bga0T7utoa3Mrotjc6Pt+viYWIs7pataTatSenIPoaPL2j28K2GZbl5JOyOdS1DFiZblSLEEKYhZWjrubKSCZryjSSk5PTK2u0jJVa8+bLREXpvk7ff/89NWrUMHgt+f2/2Ak/KaFKah593TUrV65MxYoVWb58OY0bN+b06dNs2rQpzXEKScwyT+JTuLZa99jvU9P0RbCy19WuJa9hS4iEJ6GGydrjUxAbpmsqjb4Ktzc+P15lBS4lwNVPV6vmWvbZ/6XBWuZ6E0JkEyqV0c2JACq1Fic33fI8KhtnyGYjPJNUqFCBH374gYcPH7621ix//vwULFiQy5cv07179wxdMyQkhIkTJ770mL59+zJ79mxu3bpFo0aNKFKkSLqvlxtJYpZZbv0JiZHgVBS86mTutWxcwLOGbntR7H1dE6g+YTutaxpNeKzr0xZxDm6ue+EE1bMaNj9wK/sscSurS9xsDau6hRAiu1Kr1QZTUGSVuLg4wsLCDPZZW1vj6emZrvK6devGlClTaNu2LUFBQXh7e3P06FEKFiyY6ijEiRMnMnToUNzc3GjatClxcXH8999/PHr0iJEjR6bpmqNHj6Z8+fIMHDiQDz74AFtbW3bs2EGnTp309/Huu+8yatQovv/++1TnbhOvJolZZklqUizSEVRm+jRm7wn29SB/vef7FEXX5PnkFDw5oxto8CQUIkIh7gFEX9Ftt5NVPTsUTFa79ux/+3xZe09CCJFNBQcH6/tsJSlduvRLZ6V/HVtbW7Zu3cqHH35I8+bNSUxMxM/Pj3nz5qV6fN++fXF0dGTatGl89NFHODk5Ub58eYYPH57ma5YqVYqtW7cyZswYqlevjoODAzVq1KBbt276Y9zc3OjQoQObNm2ibdu26bq33EylKIpi7iAy082bNylSpAg3btygcOHCWXfhjWV0NVJ1N0DhVll33YyIDX+eqD0Jff746e2Xn2PnmTJZcysLDoVkWg8hhEnFxsZy5coVfH19s93M/7lNw4YN8ff355tvvnnlca/6nprt/dvMpMYsM8SG65IygHxvmzcWY9jn021edQ33xz95lqSd0dWsPXmWsEVfhbj7EL5Ht73I2kWXoLn56QYbJG3OxUBtASswCCFyLY1Gw8mTJwEoX7682RarzokePXrEzp072blzp8GUGiLtJDHLDPf36/538wO7vOaNxRRs3cDzLd32osSYZ33VzhjWsEVe1PWvS20eNpU1uBQ3TNZcy+gGHtjmybp7EkLkaskXzBamUblyZR49esTUqVPN0o8vJ5DELDM8PqX7P08V88aR2awdwaOybnuRJh6iLj6vWYs8p5vmI+KsbuLcpIEH/GF4nr2XYbLmUlo3ZYhjUVDLJ1ohhLB0V69eNXcI2Z4kZpkhqRnTNZd+WrCyfdbXzA/o8Hy/osDTW8+StBeStYizEHPz+fJUySfPVduBa6nnyZrrszneXErLBLpCCCFyFEnMMkNkLk/MXkalAsfCuq1AI8PXEqIg8rxhshZxFiLOgzZON83H45Mpy3Qs/DxZS0rYXMvI4AMhcrAcPmYtV5HvZUqSmJmaokiNWXrYOIPHm7rtRVoNxFxPJWE7B7F3dTVtMTfhbojhedZOKRM2l9LgUhKs0z5bthDCciR10o+Pjzdq1nthuWJidIvQv7jaQG4niZmpxYXrFidHBc6mW3oj11JbgbOvbivYzPC1+EfJmkSfPY68qOvL9uiIbjOg0k3661r6WeJWWtdM6lIaHAuZb845IcRrWVtb4+joSHh4ODY2NgaLURtDo9HoH8fGxsqoTDNQFIWYmBju3buHu7u7fA9eIImZqUWc1/3vVFRqZjKbbZ7UR4tqEyDqcsqE7ckZ3aoHSctU3dlieJ6Vo65GzfVZwuZS6vn/svKBEGanUqnw9vbmypUrXLt2Ld3lKIpCREQEANeuXcvSBbaFIXd3dwoUKGDuMCyKJGamFnND97+Tj1nDyNXUNs+TK9o8368ousEFked1yVrkOV0iHXkOIi+BJgYeH9dtydnnT5asPatpk3nZhMhStra2lCxZkvj4+AyVU6xYMRNFJNLLxsZGaspSIYmZqT29o/vfwfvVx4msp1KBQ37dlnz9Um0CRF19lqydeyF5O6/7nsbe1W3JR4yqrHXJWVLC9mLyZp9fBiAIkQnUarXM/C9yLEnMTC1p+SJJzLIXtQ24ltRthVoavpYQ8axm7fzzOdginz1PjH7++PZGw/NsXFPWsLkmDUBwyrp7E0IIkW1IYmZq+hqzguaNQ5iOjSvkrarbXqSfl+3885q2pMfRV3UJ3cP/dFty+mk+ShvWtjm+IZPpCpHJYmJi8PPzAyA0NBRHR0czRyTEc5KYmVqsNGXmGgbzsjUwfE0TB1GXDGvYkvq1xT14+TQfajtwKZF6f7acsLyXEBZAURT94AGZR0tYGknMTE2aMgWAld0Lqx8kE/fghVq2F2rbIi/qJtN9clq3JWeX93mS9mJtm0sJ3fWEEEJke5KYmZo0ZYrXscsL+WrqthfpJ9M9l7I/W8wNXUIXtx/u7zc8T6XWjQJ2KfWslq2Urh+bSylwLCJNo0IIkY1IYmZKiTG6fkUgNWbCeC9OpktTw9cSoyHygq6GLflUHwkRunnboi7DneBkZT5rGtUnbC8kb3b5ZNSoEEJYGEnMTCmptszKEaxdzBuLyFmsnSBPJd32Iv3cbEmJ2oXno0Rf1zSaNGr0xaQtqbbNxjUr7koIIUQykpiZUtx93f/2UhMhsojB3Gx1DV/TN42ef56sJT2OvvbqUaP2BZ6tgpCsls25uPRnE0KITCSJmSnFP9L9b5vHvHEIAcmaRpsYvqaJfbZsVSpJW+xdiA3TbeF7DM9TqcGx6AsJW8nnSZtM9SGyCZVKpZ8uQ5ZjEpZGEjNTin+s+18SM2HprOxfPmo0/skLTaIXDJO3hAiIvqLbkq81qrZ93p8t+SAEWQVBWBBHR0dOn06leV8ICyCJmSklPKsxs3E3axhCZIit28sn1E1aa/TFGrbIC7pNGw9PQnVbctYuKZtFk2rcZIF4IYTQk8TMlKTGTORkr1xrVKOb0sMgYXv2OPoqJEbCw8O6LTl7r1QStlLgUlxXsyeEELmIJGampO9j5m7WMITIcmorcPbRbd6NDV/TxOn6s6WWtMWG6WrhYu9B+N5kharAqahhPzZ9f7ai0p9NpFtMTAzVqlUD4N9//5UlmYRFkcTMlKTGTIiUrOzAraxuSy4hIlk/tguG87NFX9VtYdsMz1Pb6kaIGtSwPRtFal9A+rOJV1IUhdDQUP1jISyJJGamFC99zIQwio0reFTRbS9SFIgLT33UaNL8bBFndFty1s6pT6jrUlJqs4UQFk8SM1NKeKz7X/74C5ExKpWu75m9F3jVNnxNq4GnN58nai8mb9FXITEKHh3RbcnZ5Ut9EIJzcbB2yJJbE0KIVzFrYhYUFMTatWs5e/YsDg4OvP3220ydOpXSpUvrj4mNjeXDDz/k119/JS4ujiZNmjB//nzy589vxshfQuYxEyLzqa10fc+cioL3O4avvdifLflUH0/v6GrhwsMhfF+yQlW6dUVTS9qcioJaPsMKIbKGWf/a7Nq1i0GDBlGtWjUSExMZM2YMjRs3JjQ0FCcnJwBGjBjBpk2bWLNmDW5ubgwePJj27duzb1/yP6wWQN/HzN2cUQiRe72yP1tkymQt6XHCE90qCTHXIexvw/PUNuBcLPWpPhwKSn82IYRJmTUxCw42XHB56dKleHl5cfjwYerWrcuTJ0/48ccf+eWXX2jQoAEAS5YsoWzZsvzzzz+89dZb5gj75aTGTAjLZeMCHm/qthcpim45tcikBeIvPE/aoi7qVkmIOKfbkrN2ej5qNPmkunYeWXNfQogcxaLq5588eQKAh4fuD9rhw4dJSEigUaNG+mPKlCnDG2+8wYEDB1JNzOLi4oiLi9M/j4yMzOSon1G0z/uYSed/IbIPlUq3vq19PshXy/A1RQsxN1NOqBtxXrf6QWI0PDqm25Kzy5t6wuZSQpfQCbNRqVQULVpU/1gIS2IxiZlWq2X48OHUqlWLcuXKARAWFoatrS3u7u4Gx+bPn5+wsLBUywkKCmLixImZHW5KiVG6P+IgNWZC5BQqNTi9odsKNDJ8TROvS84MVkB4lsA9vQVxDyDuANw/kLJcx8Ip1xp1KaVb11RtkzX3los5Ojpy9epVc4chRKosJjEbNGgQp06dYu/e5JNMGmf06NGMHDlS//zWrVv6xWozVcKzmjmVlcxWLkRuYGULrqV1W3IJUbpm0IhkCVvkOV2Xh5ibuu3udsPzVFbP+rOVTDnlh2MhXaIohMjRLCIxGzx4MBs3bmT37t0ULlxYv79AgQLEx8fz+PFjg1qzu3fvUqBAgVTLsrOzw87OTv88IiIi0+I2kBit+9/aSToDC5Hb2ThDnkq6Lbm4By8ZhHABNDHP1x5ls+F5Vvap9Gd7Vutm5yl/d4TIIcyamCmKwpAhQ1i3bh07d+7E19fX4PUqVapgY2NDSEgIHTp0AODcuXNcv36dmjVrmiPkl3sxMRNCiJexy6vbPJP1kVUUeHrbsD9bxHmIugCRl3SDEB6f1G3J2binPqGuS0ndoAdh4OnTp9StWxeA3bt34+Agc9gJy2HWxGzQoEH88ssv/PHHH7i4uOj7jbm5ueHg4ICbmxt9+vRh5MiReHh44OrqypAhQ6hZs6bljchMSsysJDETQqSDSqVrrnQsBPnrG76mTdRNnvtiLVtSrVvMdd3AoweHdFtyDt4pl61yKaVrMrWyS3l8LqDVavnvv//0j4WwJGZNzBYsWABAQECAwf4lS5bQs2dPAGbNmoVaraZDhw4GE8xaHE2M7n+pMRNCmJraWjea06UE0NzwtcQYiLqU+iCEuHDdxLpP78C9XYbnqdTg5JP6IATHIrJIvBBmYvamzNext7dn3rx5zJs3LwsiygB9U6ajeeMQQuQu1o7gXl63JRf/CCIuPE/WXmwmTYzSrZIQdRnuGM4pidoOXIqn0p+tlG6ZLOnPJkSmsYjO/zmC9DETQlga2zzgWV23vUhRIDYs9UEIUZd0i8Q/CdVtyVm7pL50lUtJsHXLmvsSIgeTxMxUJDETQmQXKpWu75mDN3jVNXxNq9H1W0tt1Gj0VUiMhIeHdVty9l6pT6ori8QLkWaSmJmKdP4XQuQEaivdRLfOvkATw9c0sbqmz9QGIcSGQew93RaefD5KlW6S3tQGIcgi8UIYkN8GU5HO/0KInM7KHtz8dFtyCREvNI0mm1Q3IQKir+m2sG2G56ltdDVqyRM2l1K6Gr1M6s/m6emZKeUKkVGSmJmKdP4XQuRmNq7gUUW3vUhRdKNDX0zYXmwe1cZBxFndllyqi8QnTaqb/kXinZycCA8PT/f5wrLNmzePadOmERYWRsWKFZk7dy7Vq1dP9dilS5fSq1cvg312dnbExsZmRaipksTMVKSPmRBCpKRS6fqe2XuBV23D11JbJD7pf6MXiU/q0yaLxOdmq1atYuTIkSxcuJAaNWowe/ZsmjRpwrlz5/Dy8kr1HFdXV86dO6d/bu6F7SUxMxVJzIQQwjhGLRL/Qi1bmheJTz4IQRaJz+lmzpxJv3799LVgCxcuZNOmTSxevJhPP/001XNUKtVLl3k0h1yTmCUmJpKQkJBp5VslRKEGNCp7tJl4HSGEyB1U4FBMt+VvavhSom6ReFXkBd0WdREiL6CKPI8q4eWLxCsqK3DyReNYnD92nOFWhCN9R3yNTf7qYJv+plGRORITEwGIjIw0WPc6+ZrYSeLj4zl8+DCjR4/W71Or1TRq1IgDB1JJ4J+JioqiaNGiaLVa3nzzTaZMmYK/v78J78Q4uSYxO3DgAI6Omdf/q3rsFbyBE6GXuX5h82uPF0IIkVFOQKVnG2ALNjYROGtv46y9jZNyB2ftLZyV2zhpb2OtxEPURayjLtIh6X33n9ZosOWa9TtcsGlPrDqvWe5EpBQToxtU5+dnONhk/PjxTJgwIcXx9+/fR6PRkD9/foP9+fPn5+zZVPowAqVLl2bx4sVUqFCBJ0+eMH36dN5++21Onz5N4cKFTXMjRso1iVnNmjUpVKhQppVvtWsO3IPylatT7o3mrz9BCCFEllEULQlPb6OKukjCg9N8N/MjSubX0qTmG1jFXKVY4iZ8lZ1o/MYQV/x/JCgqErQJJGgTSNQkoqAkKy/1lWuSH/eqY3OSPA55cLZ1NmmZt27dAiA0NNTg/Tu12rL0qlmzJjVr1tQ/f/vttylbtiyLFi3iiy++MNl1jJFrEjNra2tsbDKxb8Gz6TKs7dwgM68jhBAifWx9wc2XOPe3Gb5sBABL/xnPozu/0yByJxWIwvrkWC4cHsvAe7DzqXnDzU4WtVxE/yr9TVqmtbUuRXFxccHV1fW1x3t6emJlZcXdu3cN9t+9ezfNfchsbGyoXLkyFy9eND5gE8k1iVmmk87/QgiRLcQmPp8KoeeGXmCre/y+C0zzhLK2sKMwLH4CH92HCKxRq9QvLU/Fy0fxmXuEX1axUpl/0XtbW1uqVKlCSEgIbdu2BUCr1RISEsLgwYPTVIZGo+HkyZM0b26+li9JzEwlaYJZmflfCCEskkar4ecTPzM2eKx+XyGXQnR9syvVClajuEdx4mxsibv0DbaXF9PbTaGXlyeqN2eDz7uyeHs2MHLkSHr06EHVqlWpXr06s2fPJjo6Wj9KMzAwkEKFChEUFATApEmTeOuttyhRogSPHz9m2rRpXLt2jb59+5rtHiQxMxWpMRNCCIukKAp/XfyLT//+lJP3TkL889dCB4Xi6pKsmSzfD1C8Dxzqj+rJKTjwHlxZDtUXgHOxrA1eGKVLly6Eh4czbtw4wsLCqFSpEsHBwfoBAdevX0etfl77+ejRI/r160dYWBh58uShSpUq7N+/P8WAg6ykUnJ4r8SbN29SpEgRbty4kbkjLFa76IZwt7qgm+BQCCGE2R26dYhP/v6EnVd3AuBu786oKqOY0mYKAPfu3cPJ6SUfqDXxcHY6nJykW6HAygHKj4cyI2U+tCyQZe/fFubljebCOPqmTFmSSQghzO3iw4t0XtOZGj/UYOfVndhZ2TGq5iguDb3E2EZjiY6OJjo6+uVJGYCVLfiPgeYnIX8D0DyFY59CcFW4fyjrbkbkKpKYmYI2Ube0COgW+RVCCGEWd6PuMnjzYMrOK8ua0DWoUNGjYg/ODznPtMbT8HBIx0SyriWhwd/w1jLdUlCPT8DWt+C/oboF2oUwIUnMTEEb9/yxlenmVxFCCJE2UfFRTNw5kRJzSzDv33kkahNpVqIZxz44xtK2S3nD7Y2MXUClgmKB0OIs+AYCCpyfCxv94MZ6U9yCEIAkZqaheSExU0tiJoQQWSVBk8D8f+dT/JviTNg1gaj4KKoVrMb2wO1s7r6ZCvkrpDgnNjaWFi1a0KJFC2JjY1Mp9RXsPaHmMmiwDZyL69bt3NMOdreHmFsmuiuRm8moTFNIqjFTqUEtX1IhhMhsiqLw+5nfGRMyhgsPLwBQwqMEUxpMoaNfx1fOH6bRaNi8ebP+cboUaKTre3Z6MoR+DTfXQdjfUCkISnwAavPP6yWyJ6kxMwXNs09cUlsmhBCZbs+1PdT8sSad1nTiwsML5HPMx7fNviV0YCid/Dtl3aSu1g5Q8UtodgTyvgWJkfDfYNhWGx6fzJoYRI4jiZkpJDVlSmImhBCZ5vyD87Rb1Y66S+ty8NZBnGycGF9vPJeGXmJQ9UHYWJlpCgv38tB4H1SdBzau8OAf+OtNODYGEmVdJ2EcScxMIakpUzr+CyGEyYVHhzNk8xD85/uz/ux6rFRWfFDlAy4OvciEgAm42LmYO0RdV5ZSA6FFKBRpD0oihAbB5vK6Jk4h0kg6RJmC1JgJIYTJPU14yjcHv2HK3ilExOmmpWhZqiVTG03FL5/5ZmZ/JcdCUOd3uPkH/DsIoi7B9nfA5314cwbY5zN3hMLCSY2ZKUiNmRBCmIxW0bLixArKzCvDpyGfEhEXQeUClQkJDOHPbn9ablL2osJtoOUZKDUUUMHVn2BTWbi8DHL2gjsigyQxMwWt1JgJIYQp7Ly6k+rfV+e9de9x/cl1CrsWZnnb5fzX/z8a+DYwd3jGsXGBqnOg8T/gXhHiHsA/PWF7I4i4YO7ohIWSxMwUNFJjJoQQGXH2/lna/NqG+svqc/jOYVxsXZjSYArnB5/n/Yrvo1aZ7u3KyckJRVFQFOXVSzKZimd1aPovVJqqW2/z7nZd37MT4yAxJvOvL7IVScxMQWrMhBAiXe5F32PQpkGUm1+ODec2YKWyYmDVgVwcepHRdUbjYONg7hBNQ20Dfh9Di1Pg3UT3vnHqC9hYBq6tluZNoSed/01BX2Mm62QKIURaPE14yux/ZhO0N4jI+EgA2pRuw1eNvqKMZxkzR5eJnItBwF+6CWmPjIToa7CvC1yYD1W+gTwpVyoQuYvUmJmC1JgJIUSaaBUty48vp9S3pRizfQyR8ZFU8a7Czh47Wd91fZYkZbGxsXTq1IlOnToZvySTKahUuik1WpyB8pN0zZv3dkFwZd1IzrgHWR+TsBiSmJmC9DETQojX2n5lO1W/q0qP9T24GXGTN9zeYEX7FRzqd4h6PvWyLA6NRsNvv/3Gb7/9lv4lmUzB2gHKfw4tz8IbnUHR6mrO/iwFFxaA1oyxCbORxMwUZEkmIYR4qfMPztN6ZWsaLm/I0bCjuNq5MrXRVM4NPse75d81acf+bMnpDai9Chru0K0iEP8Q/h0IwVXg3m5zRyeyWC7/bTARmcdMCCFSePT0ESOCR+A/358/z/+JlcqKwdUGc2noJT6u9TH21tIv10D+AGh6BKp+C7Z54PFx+Lse7OkIkZfMHZ3IIpKYmYLM/C+EEHoJmgTmHpxLibklmH1wNonaRFqUbMGpgaeY23wuno6e5g7RcqmtodQgaHkeSnygW+rpxu+6yWkPj4T4R+aOUGQyScxMQWrMhBACRVHYfGEzFRZWYGjwUB4+fUg5r3JsfW8rG9/dmLNHW5qavSdUXwDNjj+bXiMBzs2CDcXh7BzQxJs7QpFJJDEzBRmVKYTI5U7fO03TFU1p8UsLzt4/i6ejJwtaLODogKO8U/wdc4eXfbmXg/rBEBAMbv66GrMjw2GTP9xYL/Of5UCSmJmCjMoUQuRS4dHhDNw0kAoLK7D10lZs1DZ89PZHXBxykQ+qfoC1WqbLNImCTaDZMai+COy9IOoi7GkHIQHw4D9zRydMSH5jTEFqzIQQuUxcYhxzD81l8u7JPIl7AkD7su35utHXFPcobuboXs3R0ZGoqCj942xDbQ0l+kPRbhA6Fc7O0I3a3FINfN6Dil/qRniKbE1qzExBasyEELmEoiisO7MO//n+fLTtI57EPaFygcrs7LGT3zv/bvFJGYBKpcLJyQknJydUKpW5wzGejQtUnKwbIODznm7f1Z91858d+VAmqM3mJDEzBakxE0LkAkfvHKXB8ga0X92eS48uUcC5AItbL+bffv9m6QSx4hmnIvD2T9DkX/AK0L0XnZ0JG4rBqS8hMdrcEYp0kMTMFKTGTAiRg92JvEOfP/pQ5bsq7Ly6E3tre8bWGcuFIRfoVbkXVmorc4dolLi4OHr27EnPnj2Ji4szdzgZl7cqNNyuW4PTvSIkRMCJz2BDiWcrCCSYO0JhBEnMTEFqzIQQOdDThKdM2TOFknNLsvjYYhQUupXrxrnB55jcYDLOts7mDjFdEhMTWbZsGcuWLSMxMdHc4ZiGSgUFm0KzI/D2CnDyhdgw3QoCG/3g2irdkk/C4kliZgqyJJMQIgdRFIXfQn+j7LyyjN0+luiEaGoUqsH+3vv5pcMvvOEmHcwtlkoNPu/q1t+sMvf5CM59XSG4GtzZZu4IxWtIYmYKMsGsECKHOHH3BA2WN6DTmk5ce3KNwq6FWdF+Bfv77KdmkZrmDk+klZUtlB4MrS5B+Ylg7QyPjsCOxhDSEMIPmDtC8RKSmJmCvo+ZrPsmhMieHsQ8YNCmQVReVFnfj2xc3XGy0Hh2Z+MM5cdB68tQehiobeHudtj2NuxoLnOgWaA0zWN24sQJowv28/PD2jqXTJMmfcyEENlUojaRhf8tZNyOcTyK1a3D2MmvE9PemUZR96Jmjk6YjH0+qDIbyoyAU1/A5aVw5y/dVqg1VJgEeSqaO0pBGhOzSpUqoVKpUNK49INareb8+fMUK1YsQ8FlGzIqUwiRDW2/sp1hwcM4de8UABXyV2BO0zkE+ASYNzCReZyKQo0fwO9TXYJ29We4tUG3FekIFSaCm5+5o8zV0lyldfDgQfLly/fa4xRFoVy5chkKKtuRGjMhRDZy5dEVPtz6IevOrgPAw8GDyfUn069KP1lCKbdwKQE1l4HfaDg1UTdq88ZvcON33coC5ceDaylzR5krpek3sF69epQoUQJ3d/c0FVq3bl0cHBwyElf2oo3X/a+2NW8cQgjxCtHx0QTtDWL6/unEaeKwUlnxv6r/Y2L9iXg4eJg7vCzj6OjIvXv39I9zNbcyUGsl+I+BkxPgxlq49gtc/xV8A6Hc5+CcS1q/LESaErMdO3YYVejmzZvTFUy2pX02D47axrxxCCFEKhRF4ZeTv/DJ359wK/IWAA19GzK76WzKeeWyFg50SzKlpQUoV3EvD3V+h4dH4cQ4uL1R1w/tyk/g+z74jQHXkuaOMlcwaphNQkICxYsX58yZM5kVT/aUNKuySpoAhBCW5fDtw9ReUpv31r3Hrchb+Lr7srbzWra9vy1XJmXiNTwqQ8Cf0PggeDcFRaNL0DaVgX3d4UmouSPM8YxKzGxsbIiNjc2sWLIv5VliJjVmQggLcS/6Hn039KXa99XYf2M/jjaOfNngS0IHhdKubLvsuXi3icTFxTFo0CAGDRqUM5Zkygye1aH+X7oErWBL3aoB136BTeVgbxd4fNLcEeZYRk9MM2jQIKZOnZpzlrEwBX1TptSYCSHMK14Tz4z9Myg5tyQ/Hv0RBYXu5btzfvB5xtQZg721zLeYmJjI/PnzmT9/vryXvY5ndV0NWtPDULgdoMD11bC5Auxur2v6FCZldCbx77//EhISwtatWylfvjxOTk4Gr69du9ZkwWUbSTVmKqkxE0KYz9ZLWxn611DOPTgHQBXvKnzT7BveLvK2mSMT2Z7Hm1B3ra6m7NRkuL4Gbq7TbQVb6kZx5q1q7ihzBKMTM3d3dzp06JAZsWRPivb5wrDSlCmEMIOrj68ycstI/fQXXk5eBDUMomelnjJjvzAt9/JQexU8mQCnv4RrK3UDBbxqS2JmIkYnZkuWLMmMOLIv7QvV4NKUKYTIQrGJsXy972uC9gYRmxiLlcqKoTWGMr7eeNzs3cwdnsjJ3MrC2z9DufFwbhaUHGjuiHIMySQyKqkZE6QpUwiRJRRFYeP5jQzfMpzLjy4DEOATwLfNvsXfy9/M0YlcxbUkVJtv7ihyFKPruO/evcv7779PwYIFsba2xsrKymDLdQxqzCQxE0JkrosPL9JyZUta/9qay48uU8ilEL92+JXtgdslKRMiBzC6xqxnz55cv36dzz//HG9v71w95Bp4PocZyDxmQohMkzRr/7T904jXxGOjtuHDmh8ytu5YnG2dzR2eEMJEjM4k9u7dy549e6hUqVImhJMN6ZsyVaDOhTWGQohMpSgKv5/5nZFbRnIj4gYAjYs35pum31Das7SZo8ueHBwcuHLliv6xEJbE6KbMIkWKoChKZsSSPckcZkKITHIm/Azv/PQOndZ04kbEDYq6FWVdl3UEdw+WpCwD1Go1Pj4++Pj4oFbLqNWcZt68efj4+GBvb0+NGjU4dOhQms779ddfUalUtG3bNnMDfA2jfyJnz57Np59+ytWrVzMhnGxI5jATQphYZFwkH239iAoLKxByJQQ7KzvG1xtP6KBQ2pZpK11IhHiJVatWMXLkSMaPH8+RI0eoWLEiTZo00S9a/zJXr15l1KhR1KlTJ4sifbk0VfPkyZPH4A9BdHQ0xYsXx9HRERsbw4Tk4cOHpo3Q0mllOSYhhGkkLTb+0baPuBN1B4DWpVszq8ksiuUpZuboco74+HjGjh0LwJdffomtra2ZIxKmMnPmTPr160evXr0AWLhwIZs2bWLx4sV8+umnqZ6j0Wjo3r07EydOZM+ePTx+/DgLI04pTYnZ7NmzM+Xiu3fvZtq0aRw+fJg7d+6wbt06gyrEnj17smzZMoNzmjRpQnBwcKbEky7SlCmEMIETd08wePNg9lzfA0AJjxLMaTqH5iWbmzmynCchIYHp06cDMGHCBEnMcoj4+HgOHz7M6NGj9fvUajWNGjXiwIEDLz1v0qRJeHl50adPH/bs2ZMVob5SmrKJHj16sH37durVq2fSKTGio6OpWLEivXv3pn379qke07RpU4NJbe3s7NJ1rcTERBISEl5/oLESYrABFJUNiZlRvhAiR3sS94Qvd3/J90e+R6to8bD14KNaHzGk2hBsrW0z5+9WLpeYmKjv9J9p7w0iw5LWMY2MjCQiIkK/387OLtVc4P79+2g0GvLnz2+wP3/+/Jw9ezbVa+zdu5cff/yRY8eOmS7wDEpzNU/fvn15/PgxTZs2pU2bNjRr1gxXV9cMXbxZs2Y0a9bslcfY2dlRoECBDF0H4MCBAzg6Oma4nOTcNRepBzyNS2Tb5s0mL18IkfMFEEBA+YDnOx7B31v/Nls8ucHKlSsB2Llzp3kDES8VExMDgJ+fn8H+8ePHM2HChAyXHxkZyfvvv8/333+Pp6dnhsszlTQnZpcvX+bEiRNs2LCBGTNm0LNnT2rXrk3r1q1p06YNb7zxRqYEuHPnTry8vMiTJw8NGjRg8uTJ5M2b1+hyatasSaFChUwen+rBP7AdHBxdaN5cmhyEEK93NvwsI7eOZN+NfQCUyluKae9MI8AnwLyB5RIxMTF4e3sDcOfOnUz50C4y7tatWwCEhoYavH+/rOXM09MTKysr7t69a7D/7t27qVbwXLp0iatXr9KqVSv9Pq1Wt/a1tbU1586do3jx4hm+D2MZ1TGqQoUKVKhQgc8++4zbt2+zYcMGNmzYwMcff0zp0qVp3bo1rVu3pmpV0yxk2rRpU9q3b4+vry+XLl1izJgxNGvWjAMHDry0STUuLo64uDj988jISED3RU4+UMEk1LqpQ1Rqm8wpXwiRY0TFRzFp1yRm/TOLRG0ijjaOjKs7jhE1R2BrJf2csoq1tTVPnz7VP5a/3ZbJ2lqXori4uKSphc7W1pYqVaoQEhKi76+u1WoJCQlh8ODBKY4vU6YMJ0+eNNj32WefERkZyZw5cyhSpEjGbyId0t1jvWDBgnzwwQd88MEHREdH89dff7FhwwaaNm3KyJEjGTNmTIaD69q1q/5x+fLlqVChAsWLF2fnzp00bNgw1XOCgoKYOHFihq+dZtL5XwjxGoqisPbMWoZvGc7NiJsAtC3TltlNZlPUvaiZoxMi5xg5ciQ9evSgatWqVK9endmzZxMdHa0fpRkYGEihQoUICgrC3t6ecuXKGZzv7u4OkGJ/VjJJNuHk5ETHjh3p2LEjGo0m06bMKFasGJ6enly8ePGlidno0aMZOXKk/vmtW7dStE+blFbmMRNCvNzFhxcZ8tcQgi/qRpP7uPswt9lcWpZqaebIhMh5unTpQnh4OOPGjSMsLIxKlSoRHBysHxBw/fp1i59U2OjE7Jtvvkl1v0qlwt7enpIlS2baBG03b97kwYMH+r4BqUk+WuPFkRyZQpF5zIQQKcUmxjJ171SC9gYRp4nD1sqWT2p9wujao3GwkWWAzMnBwYFTp07pH4ucZfDgwak2XcLrB3ssXbrU9AEZyejEbNasWYSHhxMTE0OePHkAePToEY6Ojjg7O3Pv3j2KFSvGjh07Xts+GxUVxcWLF/XPr1y5wrFjx/Dw8MDDw4OJEyfSoUMHChQowKVLl/j4448pUaIETZo0MTbszJPUlCkLmAshngm+GMzgzYO59OgSAO8Ue4dvm39LqbylzByZAN3cVv7+/uYOQ4hUGV2fN2XKFKpVq8aFCxd48OABDx484Pz589SoUYM5c+Zw/fp1ChQowIgRI15b1n///UflypWpXLkyoGsbrly5MuPGjcPKyooTJ07QunVrSpUqRZ8+fahSpQp79uxJ91xmmUJqzIQQz9x4coOOqzvSbEUzLj26REGXgqzuuJot722RpEwIkSZGV/N89tln/P777wZDSEuUKMH06dPp0KEDly9f5uuvv6ZDhw6vLSsgIOCVC6Jv2bLF2PCynr7zvyRmQuRWCZoEZv8zm4m7JhKdEI2VyophNYYxIWACLnYu5g5PJBMfH8+UKVMAGDNmjMz8LyyK0YnZnTt39LPxvigxMZGwsDBAN2IzaZqKHE/f+V+aMoXIjXZf283ATQM5HX4agFpFajG/xXwq5K9g5sjEyyQkJOhH73/00UeSmAmLYnRTZv369RkwYABHjx7V7zt69Cj/+9//aNCgAQAnT57E19fXdFFaMmnKFCJXuht1lx7re1BvaT1Oh5/G09GTJW2WsLvXbknKhBDpZnRi9uOPP+Lh4UGVKlX0IyCrVq2Kh4cHP/74IwDOzs7MmDHD5MFaJJnHTIhcRaPVMP/f+ZSZV4blx5ejQsWAKgM4N/gcPSv1RK2y7KH4QgjLZnQ2UaBAAbZt28a5c+c4d+4cAKVLl6Z06dL6Y+rXr2+6CC2dzGMmRK5xLOwYAzYO4NCtQwC86f0mC1osoHqh6maOTAiRUxidmJ06dYpy5cqlSMYA1q9fr18GIddQpPO/EDldVHwU43eMZ87BOWgUDa52rnzZ4Ev+V/V/WKlTXx5OCCHSw+jErEmTJuzduzdFH7Lff/+dwMBAoqOjTRZctiCd/4XI0f44+wdD/hrCjYgbAHT278ysJrMo6FLQzJEJIXIioztD9O3bl0aNGulHYAKsWrWKwMBAi5gxN8tJ538hcqQbT27Q9te2tF3VlhsRN/Bx92Hzu5tZ1XGVJGVCiExjdDXPxIkTefjwIY0aNWL37t0EBwfTt29ffvrppzTNXZbjyDxmQuQoidpE5h6cy+c7Pic6IRprtTWjao7i83qf42jjaO7whAnY29tz6NAh/WMhLEm62t/mzp1L9+7deeutt7h16xYrV66kTZs2po4te5CmTCFyjEO3DjFg4wCOhR0DdHOSLWy5kHJe5cwbmDApKysrqlWrZu4whEhVmrKJDRs2pNjXvn179uzZQ7du3VCpVPpjWrdubdoILZ00ZQqR7T2JfcLY7WOZ/+98FBTy2Ofh63e+pnfl3jL9hRAiS6UpMXvVSMvFixezePFiAFQqFRqNxiSBZRsyj5kQ2ZaiKPwW+hvDgodxJ+oOAO9VeI8ZjWfg5eRl5uhEZomPj2fOnDkADBs2TGb+FxYlTdmEVqvN7DiyL5nHTIhs6cqjKwzaPIi/Lv4FQEmPkixosYCGxRqaOTKR2RISEvj4448BGDhwoCRmwqJINU9GyTxmQmQrCZoEZhyYwaRdk3ia+BRbK1tG1x7Np7U/xd5aOoILIcwrTZ0nvvnmG2JjY9Nc6MKFC2URcyGExdl3fR+VF1VmdMhoniY+pb5PfU58cIIJARMkKRNCWIQ0JWYjRowwKtH6+OOPCQ8PT3dQ2Yp0/hfC4j16+oj+f/an9pLa+gXHl7VdRkhgCKU9S7++ACGEyCJpquZRFIWGDRtibZ22WqGnT59mKKhsReYxE8JiKYrC6tOrGRo8lHvR9wDoU7kPUxtNJa9jXjNHJ4QQKaUp0xo/frxRhbZp0wYPD490BZTtSFOmEBbp+pPrDNw0kE0XNgFQ1rMsi1ouok7ROmaOTAghXi5TErNcRZoyhbAoGq2Gbw99y9jtY4lOiMbWypaxdcbySa1PsLO2M3d4QgjxSlLNk1Eyj5kQFuN42HH6/dmPf2//C0DtN2rzXcvvKJuvrJkjE5bE3t6eHTt26B8LYUkkm8gomcdMCLN7mvCUSbsmMW3/NDSKBjc7N75+52v6vtlXZu4XKVhZWREQEGDuMIRIlSRmGSXzmAlhViGXQxiwcQCXHl0CoKNfR75p+g3eLt5mjkwIIYwniVlGSed/IcziQcwDPtz6IcuOLwOgkEsh5reYT+vSuWy9XmG0hIQEvvvuOwD69++PjY18sBaWI93ZRHx8PFeuXKF48eJpnkYjR5LO/0JkKUVRWHlqJcODhxMeE44KFYOqDeLLhl/iaudq7vBENhAfH8/gwYMB6NmzpyRmwqIY3fkiJiaGPn364OjoiL+/P9evXwdgyJAhfPXVVyYP0OLJPGZCZJmrj6/S/JfmdF/bnfCYcPzz+bOv9z7mNp8rSZkQIkcwOjEbPXo0x48fZ+fOnQajWRo1asSqVatMGly2kNTHTGVl3jiEyMEStYnM2D8D//n+BF8Mxs7Kjsn1J3NkwBFqFqlp7vCEELnY5cuXTVqe0W2Q69evZ9WqVbz11luoVCr9fn9/fy5dumTS4LIFRaP7XxIzITLF0TtH6fdnPw7fOQxAvaL1+K7Vd5TKW8rMkQkhBJQoUYJ69erRp08fOnbsmOEpWIyuMQsPD8fLyyvF/ujoaINELdeQxEyITBGTEMNHWz+i2vfVOHznMO727vzQ6gd29NghSZkQwmIcOXKEChUqMHLkSAoUKMCAAQM4dOhQusszOjGrWrUqmzZt0j9PSsZ++OEHatbMhU0KkpgJYXLbr2yn/ILyTD8wHY2ioYt/F84MOkOfN/vkzg+AQgiLValSJebMmcPt27dZvHgxd+7coXbt2pQrV46ZM2cSHh5uVHlGN2VOmTKFZs2aERoaSmJiInPmzCE0NJT9+/eza9cuY4vL/iQxE8JkHsc+5qOtH/HD0R8AKOJahAUtFtCiVAszRyaEEK9mbW1N+/btadGiBfPnz2f06NGMGjWKMWPG0LlzZ6ZOnYq39+vnVzS6xqx27docO3aMxMREypcvz9atW/Hy8uLAgQNUqVIlXTeTrcmSTEKYxB9n/8Bvnp8+KRtUbRCnB56WpEyYnJ2dHRs3bmTjxo3Y2cn6qcI0/vvvPwYOHIi3tzczZ85k1KhRXLp0iW3btnH79m3atGmTpnLSlU0UL16c77//Pj2n5jxSYyZEhtyNusvQ4KGsPr0agFJ5S/FDqx+oU7SOmSMTOZW1tTUtWkjCL0xj5syZLFmyhHPnztG8eXOWL19O8+bNUat1dV++vr4sXboUHx+fNJVndGJmZWXFnTt3UgwAePDgAV5eXmg0GmOLzN4kMRMiXRRF4ecTPzN8y3AePn2IlcqKj2t9zLh647C3loWlhRDZw4IFC+jduzc9e/Z8aVOll5cXP/74Y5rKMzoxUxQl1f1xcXHY2toaW1z2J4mZEEa79vgaH2z6gOCLwQBUKlCJxa0XU9m7spkjE7lBQkICK1asAKB79+4y87/IkAsXLrz2GFtbW3r06JGm8tKcmH3zzTeAbhTmDz/8gLOzs/41jUbD7t27KVOmTFqLyzkkMRMizbSKlgX/LuDTkE+Jio/CzsqOCQET+LDmh9hYyZujyBrx8fH06tULgE6dOkliJjJkyZIlODs706lTJ4P9a9asISYmJs0JWZI0J2azZs0CdDVmCxcuxMrqeSJia2uLj48PCxcuNOriOYIkZkKkybn75+j7Z1/2Xt8LQO03avNDqx8o7VnazJEJIUT6BQUFsWjRohT7vby86N+/f+YlZleuXAGgfv36rF27ljx58hh1oRxLEjMhXilBk8D0/dOZuGsicZo4nG2dmdpoKh9U/QC1yuiB4UIIYVGuX7+Or69viv1FixbVryduDKP7mO3YscPoi+RokpgJ8VJH7xyl94beHAs7BkDTEk1Z2GIhRd2LmjcwIYQwES8vL06cOJFi1OXx48fJmzev0eWla7qMmzdvsmHDBq5fv058fLzBazNnzkxPkdmXJGZCpPA04SmTdk1i2v5paBQNHg4ezG4ym/cqvCcz9wshcpRu3boxdOhQXFxcqFu3LgC7du1i2LBhdO3a1ejyjE7MQkJCaN26NcWKFePs2bOUK1eOq1evoigKb775ptEBZHuSmAlhYM+1PfT9sy/nH5wHoLN/Z75p+g35nfObOTIhhDC9L774gqtXr9KwYUOsrXVplVarJTAwkClTphhdntGJWdISAxMnTsTFxYXff/8dLy8vunfvTtOmTY0OINuTxEwIACLjIvn070+Z/998ALydvZnfYj5ty7Q1b2BCCJGJbG1tWbVqFV988QXHjx/HwcGB8uXLU7Ro+rpsGJ2YnTlzhpUrV+pOtrbm6dOnODs7M2nSJNq0acP//ve/dAWSbUliJgR/X/6bvhv6cu3JNQD6Vu7LtMbTcLd3N29gQqTCzs6O1atX6x8LYQqlSpWiVKlSGS7H6MTMyclJ36/M29ubS5cu4e/vD8D9+/czHFC2oiigaHWPJTETuVBEXASjto7i+yO6Jdp83H34odUPNCzW0MyRCfFy1tbWKeacEiK9NBoNS5cuJSQkhHv37qHVag1e3759u1HlGZ2YvfXWW+zdu5eyZcvSvHlzPvzwQ06ePMnatWt56623jC0ue1Ne+OJLYiZymS0Xt9Dvz37ciLgB6BYd/6rRVzjbOr/mTCGEyDmGDRvG0qVLadGiBeXKlcvwACejE7OZM2cSFRUFwMSJE4mKimLVqlWULFky947IBFBLYiZyh8exj/lwy4csPrYYgGJ5ivFj6x8J8Akwb2BCpFFiYiLr1q0DoF27dvoO2yJnmDdvHtOmTSMsLIyKFSsyd+5cqlevnuqxa9euZcqUKVy8eJGEhARKlizJhx9+yPvvv5/m6/3666+sXr2a5s2bmyR+o38aixUrpn/s5OSUO2f7T/JiYiY1ZiIX2HR+EwM2DuBW5C1UqBhaYyhfNvgSJ1snc4cmRJrFxcXRuXNnAKKioiQxy0FWrVrFyJEjWbhwITVq1GD27Nk0adKEc+fO4eXlleJ4Dw8Pxo4dS5kyZbC1tWXjxo306tULLy8vmjRpkqZr2traUqJECZPdg8mm3V67di0VKlQwVXHZgyRmIpd49PQRPdf3pOXKltyKvEVJj5Ls7rWb2U1nS1ImhLAYM2fOpF+/fvTq1Qs/Pz8WLlyIo6MjixcvTvX4gIAA2rVrR9myZSlevDjDhg2jQoUK7N27N83X/PDDD5kzZw6KopjkHoz6mLBo0SK2bduGra0tw4YNo0aNGmzfvp0PP/yQ8+fPExgYaJKgMkNiYiIJCQmmLTQhlqSlbxMStaCYuHwhLMDmC5sZETyCsOgwHNWODKo2iM/qfoaDjYPpf6eEyAKJiYk4ODjoH8vPsWVKTEwEIDIykoiICP1+Ozu7VEfTxsfHc/jwYUaPHq3fp1aradSoEQcOHHjt9RRFYfv27Zw7d46pU6emOc69e/eyY8cO/vrrL/z9/bGxsTF4fe3atWkuC4xIzL766ivGjRtHhQoVOHv2LH/88Qdjx45l7ty5DBs2jAEDBlj0+pkHDhzA0dHRpGXaKJEktSj/FbwVRSXV4SJnmlV81vMncbBjmyzNJrK3pGmfdu7cad5AxEvFxMQA4OfnZ7B//PjxTJgwIcXx9+/fR6PRkD+/4WTW+fPn5+zZsy+9zpMnTyhUqBBxcXFYWVkxf/583nnnnTTH6e7uTrt27dJ8/OukOZNYsmQJ33//PT169GDPnj3Uq1eP/fv3c/HiRZycLL8po2bNmhQqVMi0hcaFwwbdw2bNW4IsyCxyiI3nNjJi6wjuRd9DrVIztPpQRtcejb2NvblDEyLDYmJi8Pb2BuDOnTsm/9AuTOPWrVsAhIaGGrx/m3ruORcXF44dO0ZUVBQhISGMHDmSYsWKERAQkKbzlyxZYtJ40pyYXb9+nQYNGgBQp04dbGxsmDhxYrZIykA3b03y6sUMS3yeiNnYyiSFIvsLjw5nyF9DWHV6FQBlPcuypM0SahSuYebIhDCdpMnRkx6b/L1BmETSoAwXFxdcXV1fe7ynpydWVlbcvXvXYP/du3cpUKDAS89Tq9X6zvuVKlXizJkzBAUFpTkxA12z686dO7l06RLvvvsuLi4u3L59G1dXV5ydjZtCKM1VPHFxcdjbP/+0bGtri4eHh1EXy3Fk1n+Rg/wW+hv+8/1ZdXoVViorRtcezZEBRyQpE0JkC7a2tlSpUoWQkBD9Pq1WS0hICDVr1kxzOVqtlri4uDQff+3aNcqXL0+bNm0YNGgQ4eHhAEydOpVRo0al/QaeMapT1Oeff66v8o2Pj2fy5Mm4ubkZHJOr5jKTxEzkAPei7zFo8yB+C/0NgHJe5VjSZglVC1Y1c2RCZA5bW1t985Otra2ZoxGmNHLkSHr06EHVqlWpXr06s2fPJjo6ml69egEQGBhIoUKFCAoKAiAoKIiqVatSvHhx4uLi2Lx5Mz/99BMLFixI8zWHDRtG1apVOX78OHnz5tXvb9euHf369TP6HtKcmNWtW5dz587pn7/99ttcvnzZ4JiMznab7UhiJrK5VadWMWjzIB48fYCVyooxdcYwts5Y7KylaV7kXDY2NvTs2dPcYYhM0KVLF8LDwxk3bhxhYWFUqlSJ4OBg/YCA69evo1Y/byyMjo5m4MCB3Lx5EwcHB8qUKcPPP/9Mly5d0nzNPXv2sH///hRJvo+Pj76fnDHSnJjJyJVUSGImsqn7MfcZuGkga0LXAFAxf0WWtFlCZe/KZo5MCCEyZvDgwQwePDjV15LnMpMnT2by5MkZup5Wq0Wj0aTYf/PmTVxcXIwuL0PDCPft22dUO2yOo0/MZJoMkX2sP7se//n+rAldg7XamnF1x3Go3yFJykSukZiYyKZNm9i0aZN+riwh0qtx48bMnj1b/1ylUhEVFcX48ePTtUxThjKKZs2acezYMYNlmnKVpMRM1skU2cCjp48YGjyUn0/8DIB/Pn+WtV1GlYJVzByZEFkrLi6Oli1bArIkk8i4GTNm0KRJE/z8/IiNjeXdd9/lwoULeHp66ufLM0aGfhpNtfxAtiVNmSKb+OvCX/T9sy+3I2+jVqn56O2PmBgwUfqSCSFEBhUuXJjjx4/z66+/cuLECaKioujTpw/du3fXrzBhDPmYkBGSmAkLFxEXwcgtI/nx6I8AlMpbimVtl/FW4bfMHJkQQuQc1tbWvPfee6YpKyMnL1q0KMXSB7mKJGbCgoVcDqH3ht5cf3IdFSqGvzWcyQ0m42gjs5wLIURGbNiwgWbNmmFjY8OGDRteeWzr1q2NKtvoxGz79u28/fbb2Nvb8+677xp7es6ilcRMWJ6o+Cg+2fYJ8/+bD4Cvuy9L2y6lbtG6Zo5MCCFyhrZt2xIWFoaXlxdt27Z96XEqlSrVEZuvYnRi1rp1axITE6lWrRoBAQHUq1ePWrVqpasdNduTGjNhYfZc20PPP3py+ZFujsH/Vf0fX7/zNc62xi0JIoQQ4uW0Wm2qj03B6OkyHj16REhICM2aNePQoUO0a9cOd3d3atWqxWeffWbS4CyeJGbCQjxNeMrILSOpt7Qelx9dpohrEba9v435LeZLUiaEECbm4eHB/fv3AejduzeRkZEmK1ulZHBo5enTp5k2bRorVqx46SRr5nTz5k2KFCnCjRs3KFy4sGkLv7sLQgLAtQy0PGPasoVIo4M3D9JjfQ/OPdCtzNG7Um9mNpmJm73ba84UIndKSEjgu+++A6B///6yiLmFytT37wxydnbmxIkTFCtWDCsrK8LCwsiXL59Jyja6KfP8+fPs3LmTnTt3smvXLuLi4qhTpw7Tp083aiX2HEFqzIQZxSXGMWHnBL7e/zVaRYu3szfft/qeFqVamDs0ISyajY0NgwYNMncYIhurWbMmbdu2pUqVKiiKwtChQ1/apWvx4sVGlW10U2aZMmX4/PPPKVeuHH/99Rfh4eGsW7eOYcOGUbFiRaPK2r17N61ataJgwYKoVCrWr19v8LqiKIwbNw5vb28cHBxo1KgRFy5cMDbkzCOJmTCTI3eOUPX7qny17yu0ipbu5btzauApScqEECIL/PzzzzRv3pyoqCgAnjx5wqNHj1LdjGV0jdnQoUPZvXs3kyZNYuPGjQQEBBAQEEDt2rVxdDRuGH50dDQVK1akd+/etG/fPsXrX3/9Nd988w3Lli3D19eXzz//nCZNmhAaGoq9vb2xoZueJGYiiyVoEvhyz5d8uedLErWJ5HPMx6KWi2hXtp25QxMi29BoNOzZsweAOnXqYGUlf8OFcfLnz89XX30FgK+vLz/99BN58+Y1SdlGJ2ZJ60E9fvyYPXv2sGvXLsaOHcvp06epXLky+/btS3NZzZo1o1mzZqm+pigKs2fP5rPPPqNNmzYALF++nPz587N+/Xq6du1qbOimJ4mZyEKh4aG8v+59jtw5AkBHv47Mbz6ffE6m6dcgRG4RGxtL/fr1Ad2STE5OTmaOSGQ3Hh4enD9/Hk9PT+rXr4+tra3Jyk73IuYajYaEhATi4uKIjY0lLi6Oc+fOmSywK1euEBYWRqNGjfT73NzcqFGjBgcOHHjpeXFxcUREROg3U46USEF5tvitJGYiE2kVLbMOzOLNRW9y5M4R8tjn4Zf2v7C642pJyoQQwgzi4+OJiIgAYNmyZcTGxpqs7HQ1Ze7cuZPQ0FDy5MlD3bp16devHwEBAZQvX95kgYWFhQGkWFkgf/78+tdSExQUxMSJE00WxytJjZnIZNefXKfn+p7suLoDgKYlmvJj6x8p6FLQzJEJIUTulZmd/41OzO7cuUP//v0JCAigXLlyxp6e6UaPHs3IkSP1z2/duoWfn1/mXEwSM5FJFEVh+fHlDA0eSkRcBI42jsxoPIMBVQagUqnMHZ4QQuRqP//8M7NmzeLSpUuoVCqePHlislozoxOzNWvWmOTCr1OgQAEA7t69i7e3t37/3bt3qVSp0kvPs7Ozw87OTv88qaoxU8iSTCIThEeHM2DjANadXQfAW4XfYnnb5ZTMW9LMkQkhhIDM7fyfrj5mly5dYsiQITRq1IhGjRoxdOhQLl26ZJKAkvj6+lKgQAFCQkL0+yIiIjh48CA1a9Y06bXSTWrMhIltOLeBcgvKse7sOmzUNkxpMIU9vfZIUiaEEBamefPmPHnyhCtXrpA3b16++uorHj9+rH/9wYMH6WqxMzox27JlC35+fhw6dIgKFSpQoUIFDh48iL+/P9u2bTOqrKioKI4dO8axY8cAXYf/Y8eOcf36dVQqFcOHD2fy5Mls2LCBkydPEhgYSMGCBV+5YGiWksRMmEhEXAR9/uhDm1/bcC/6Hv75/DnU7xCj64zGWm10xbYQQohMFhwcTFxcnP75lClTePjwof55YmJiugZFGv0X/9NPP2XEiBH6KrwX93/yySe88847aS7rv//+0w9ZBvR9w3r06MHSpUv5+OOPiY6Opn///jx+/JjatWsTHBxsGXOYgSRmwiR2X9tNj/U9uPr4KipUfFjzQ75o8AX21hbycy5EDmNjY8PXX3+tfyyEKWRwhUs9oxOzM2fOsHr16hT7e/furZ/jLK0CAgJeeSMqlYpJkyYxadIkY8PMGpKYiQyITYzl8+2fM+PADBQUiroVZVnbZdTzqWfu0ITI0Wxtbfnoo4/MHYYQqTI6McuXLx/Hjh2jZEnDPi/Hjh3Dy8vLZIFlC0mJmVoSM2GcY2HHeH/d+5y6dwrQLTw+q+ksXO1czRyZEEKItFCpVClGyZti1LzRiVm/fv3o378/ly9f5u233wZg3759TJ061WCailxBasyEkRK1iUzbN43xO8eToE0gn2M+vm/1PW3KtDF3aELkGhqNhiNHdCtovPnmm7Ikk0gXRVHo2bOnfiaI2NhYPvjgA/1KEi/2PzOG0YnZ559/jouLCzNmzGD06NEAFCxYkAkTJjB06NB0BZFtSWImjHDx4UUC1wVy4KZu5Yq2ZdqyqOUivJxyWU2zEGYWGxtL9erVAVmSSaRfjx49DJ6/9957KY4JDAw0ulyjEzOVSsWIESMYMWKEfrkjFxcXoy+cI0hiJtJAURQWHV7Eh1s/JCYhBhdbF+Y2m0tgxUCZLFYIIbKpJUuWZEq5GRqHn2sTsiT6xEymMxCpuxN5hz4b+vDXxb8ACPAJYGmbpRR1L2rmyIQQQliiNGUUlStXTvMn+6R2+1xBaszEK6w7s45+f/bjwdMH2FnZEdQwiGFvDUOtSte8zkIIIXKBNCVmFjOhq6WRxEykIio+iuHBw/nx6I8AVCpQiZ/b/Yy/l7+ZIxNCCGHp0pSYjR8/PrPjyJ4kMRPJ/HPzH95b+x6XHl1ChYqPa33MpPqTsLWyNXdoQgghsoE0t6ksXrw43UM/cyxJzMQzidpEJuycQO3Ftbn06BJFXIuwo8cOvmr0lSRlQggh0izNvdb79etHy5Yt9ZPIFixYkP379+Pj45NZsVk+ScwEumkw3lv7HgdvHQTg3fLvMq/5PNzt3c0bmBAiVTY2NvqWIFmSSViaNCdmyZdOioyMRKvVmjygbEUSs1xNURR+PPojw4OHE50QjZudG/NbzOfd8u+aOzQhxCvY2toyYcIEc4chRKpknoeMkMQs17ofc59+f/Zj/dn1ANQrWo/l7Zbzhtsb5g1MCCFEtpbmxCz5mlCprRGV68hamblS8MVgev3Ri7CoMGzUNnzZ4EtG1hyJlfwcCJEtaLVazpw5A0DZsmVRq2UKG2E5jGrKLFWqlD4Zi4qKonLlyil+oB8+fGjaCC2ZVmrMcpOnCU/5eNvHfPvvtwCU9SzLLx1+oVKBSuYNTAhhlKdPn1KuXDlAlmQSlifNiVlmLT2QrUlTZq5x9M5Ruq/tzpn7uk/ZQ6oPYWqjqTjYOJg5MiGEEDlJmhOz5It1CiQxywU0Wg0zDszgs+2fkaBNoIBzAZa0WULTEk3NHZoQQogcSDr/Z4QkZjna9SfXCVwXyK5ruwBoW6Yt37f6Hk9HTzNHJoQQIqeSxCwjJDHLsX45+QsDNw3kSdwTnGyc+KbZN/Sq1EsGvAghhMhUkphlhCRmOc7j2McM3DSQladWAvBW4bf4ud3PFPcobubIhBBC5AaSmGWEJGY5yt7re3lv7Xtce3INK5UVn9f9nLF1x2Ktll8TIYQQWSPD7zgajYaTJ09StGhR8uTJY4qYsg9JzHKERG0ik3dP5ovdX6BVtBTLU4wV7VfwVuG3zB2aECIT2NjYMGrUKP1jISyJ0YnZ8OHDKV++PH369EGj0VCvXj3279+Po6MjGzduJCAgIBPCtFCSmGV7Vx5d4b1177H/xn4A3q/wPt82/xZXO1czRyaEyCy2trZMmzbN3GEIkSqjpzv+7bffqFixIgB//vknV65c4ezZs4wYMYKxY8eaPECLJolZtrby5EoqLarE/hv7cbVzZUX7FSxvt1ySMiGEEGZjdGJ2//59ChQoAMDmzZvp1KkTpUqVonfv3pw8edLkAVo0Scyypci4SHqs78G7a98lIi6Ct4u8zbEBx2TxcSFyCa1Wy9WrV7l69Spardbc4QhhwOjELH/+/ISGhqLRaAgODuadd94BICYmBiurXJagSGKW7Ry8eZBKiyqx/Phy1Co14+uNZ1fPXfjm8TV3aEKILPL06VN8fX3x9fXl6dOn5g5HmNi8efPw8fHB3t6eGjVqcOjQoZce+/3331OnTh3y5MlDnjx5aNSo0SuPzwpGJ2a9evWic+fOlCtXDpVKRaNGjQA4ePAgZcqUMXmAFk0Ss2xDo9Xw5e4vqbW4FpcfXaaoW1F29dzFhIAJMupSCCFyiFWrVjFy5EjGjx/PkSNHqFixIk2aNOHevXupHr9z5066devGjh07OHDgAEWKFKFx48bcunUriyN/zuh3pAkTJlCuXDlu3LhBp06dsLOzA8DKyopPP/3U5AFaNOVZFbgkZhbtxpMbvLfuPXZf2w1AF/8uLGy5EHd7d/MGJoQQwqRmzpxJv3796NWrFwALFy5k06ZNLF68ONUcZcWKFQbPf/jhB37//XdCQkIIDAzMkpiTS1dVQceOHQ2eP378OHeupalPzIyueBRZ5LfQ3+j3Zz8exz7GycaJec3nEVgxUGbwF0KIHCY+Pp7Dhw8zevRo/T61Wk2jRo04cOBAmsqIiYkhISEBDw+PzArztYxOzKZOnYqPjw9dunQBoHPnzvz+++94e3uzefNmKlSoYPIgTSExMZGEhASTlmml1aAGErVaFBOXLTImJj6GT/7+hOUnlgNQq1Atfmz9I8XyFCMxMdHM0QkhzCkxMREHBwf9Y1O/NwjTSPpbHRkZSUREhH6/nZ2dvrXuRffv30ej0ZA/f36D/fnz5+fs2bNpuuYnn3xCwYIF9d20zMHoxGzhwoX6qr9t27axbds2/vrrL1avXs2oUaPYunWryYM0hQMHDuDo6GjSMms+vYsXcPz4SW6e3mzSskXGNaMZzSo00z8/e+AsZ0nbL6cQImdbuVK37NrOnTvNG4h4qZiYGAD8/PwM9o8fP54JEyaY/HpfffUVv/76Kzt37sTe3t7k5aeV0YlZWFgYRYoUAWDjxo107tyZxo0b4+PjQ40aNUweoKnUrFmTQoUKmbRMq13fwD2oWKkyFd5obtKyhfG0ipZvD37LpN2TSNAmUNC5IN+3/p7ab9Q2d2hCCAsSExODt7c3AHfu3DH5h3ZhGkkd8ENDQw3ev1OrLQPw9PTEysqKu3fvGuy/e/eufpqvl5k+fTpfffUVf//9t9lb/oxOzPLkycONGzcoUqQIwcHBTJ48GQBFUdBoNCYP0FSsra1Nv/SGSnlWti3Ish5mdTvyNoHrAgm5EgJA+7Lt+b7V93g4mK+fgBDCMtnb2+s7h9vb28uyTBbK2lqXori4uODq+vqJv21tbalSpQohISG0bdsW0M1ZFxISwuDBg1963tdff82XX37Jli1bqFq1qklizwijE7P27dvz7rvvUrJkSR48eECzZrqmoqNHj1KiRAmTB2jRpPO/RdhwbgO9/+jNg6cPcLRxZE7TOfSp3Ec6+AshUmVnZ8e8efPMHYbIBCNHjqRHjx5UrVqV6tWrM3v2bKKjo/WJeGBgIIUKFSIoKAjQ9ZsfN24cv/zyCz4+PoSFhQHg7OyMs7OzWe7B6MRs1qxZ+Pj4cOPGDb7++mt94Hfu3GHgwIEmD9CiJSVmxk8HJ0wgNjGWUVtHMe9f3R/YygUq80uHXyjjmcvm0xNCCAFAly5dCA8PZ9y4cYSFhVGpUiWCg4P1AwKuX7+OWv38PXvBggXEx8enmG0is/qxpYVKURTFLFfOIjdv3qRIkSLcuHGDwoULm7bwbbUhfB/UWQtF2pm2bPFKZ8LP0PX3rpy4ewKAkW+NZErDKdhZp973QAghkiiKwv379wFdvySpXbdMmfr+bcHSPeV5aGgo169fJz4+3mB/69atMxxUtiFNmVlOURSWHFvCkL+GEJMQQz7HfCxru4xmJZu9/mQhhEDX+d/LywuAqKgonJyczByREM8ZnZhdvnyZdu3acfLkSVQqFUkVbkmfOCx5AIDJSVNmlnoS+4QPNn3Ar6d+BaChb0N+avcT3i7eZo5MCCGEMA2jM4phw4bh6+vLvXv3cHR05PTp0+zevZuqVavmvvlgpMYsyxy6dYjKiyrz66lfsVJZEdQwiK3vb5WkTAghRI5idI3ZgQMH2L59O56enqjVatRqNbVr1yYoKIihQ4dy9OjRzIjTQiXVmEn/hMyiVbTM2D+DMdvHkKhNxMfdh5UdVvJW4bfMHZoQQghhckYnZhqNBhcXF0DXafL27duULl2aokWLcu7cOZMHaNGkxixT3Y26S4/1PdhyaQsAnfw68V2r72TxcSGEEDmW0YlZuXLlOH78OL6+vtSoUYOvv/4aW1tbvvvuO4oVK5YZMVouScwyzdZLWwlcF8jd6Ls4WDswp+kc+r7ZV0ZPCSGEyNGMTsw+++wzoqOjAZg0aRItW7akTp065M2bl1WrVpk8QMv2bKYRScxMJkGTwGfbP+Pr/V8DUM6rHKs6rsIvn99rzhRCCCGyP6MTsyZNmugflyhRgrNnz/Lw4UPy5MmT+2ozZFSmSV1+dJluv3fj0K1DAHxQ5QNmNpmJg42DmSMTQuQk1tbW9OjRQ/9YCEtikp9ID4/cuh6hNGWayqpTq+i/sT8RcRG427vzQ6sf6ODXwdxhCSFyIDs7O5YuXWruMIRIVZoTs969e6fpuMWLF6c7mGxH+phlWHR8NMOCh/Hj0R8BeLvI2/zS/heKuhc1c2RCCCFE1ktzYrZ06VKKFi1K5cqVyeGrOKWdNGVmyIm7J+jyWxfO3j+LChVj6oxhQsAErNXStCCEyDyKohATEwOAo6Nj7uuGIyxamt8B//e//7Fy5UquXLlCr169eO+993JxE+YzUmOWLoqisOC/BYzcMpI4TRzezt783P5nGvg2MHdoQohcICYmBmdnZ0CWZBKWJ80Zxbx587hz5w4ff/wxf/75J0WKFKFz585s2bIlF9egSWJmrEdPH9FhdQcGbR5EnCaOFiVbcPyD45KUCSGEEBjZBmdnZ0e3bt3Ytm0boaGh+Pv7M3DgQHx8fIiKisqsGC2XNGUa5eDNg1ReVJl1Z9dho7ZhVpNZ/NntT/I55TN3aEIIIYRFSHdnHrVarV/EPFctXP4iacpME0VRmHlgJp+GfEqiNpFieYqxuuNqqhSsYu7QhBBCCItiVEYRFxfHypUreeeddyhVqhQnT57k22+/5fr16/r2+txFErPXeRDzgNa/tmbUtlEkahPp7N+ZI/2PSFImhBBCpCLNNWYDBw7k119/pUiRIvTu3ZuVK1fi6emZmbFZPqkxe6V91/fR9feu3Iy4iZ2VHbObzmZAlQEyAkoIIYR4iTQnZgsXLuSNN96gWLFi7Nq1i127dqV63Nq1a00WnMWTPmap0ipavt73NZ9t/wyNoqGkR0lWd1pNpQKVzB2aEEIIYdHSnJgFBgZKTUcKUmOWXHh0OIHrAwm+GAzAu+XfZWGLhbjYuZg5MiGE0LGysqJjx476x0JYEqMmmBXJSFOmgV1Xd/Hu2ne5HXkbe2t7vm32Lb0r95aEXghhUezt7VmzZo25wxAiVTLFekZIUyYAGq2GKXumMGHXBLSKlrKeZVndaTXlvMqZOzQhhBAiW5HELCOkxoy7UXfpvrY7IVdCAOhRsQfzms/DyVZm0hZCCCGMJYlZhuTuxCzkcgjd13bnbvRdHG0cmd98Pj0q9TB3WEII8UrR0dGyJJOwWJKYZUQurTHTaDVM2jWJL3Z/gYJCOa9yrO64mrL5ypo7NCGEECJbk8QsI3JhH7PbkbfpvrY7O6/uBKBv5b7MaTYHRxtH8wYmhBBC5ACSmGVI7qox23JxC++ve5/wmHCcbZ1Z1HIR75Z/19xhCSGEEDmGJGYZkUuaMhO1iYzbMY6gvUEAVMxfkdWdVlMqbykzRyaEEELkLJKYZUQuaMq8FXGLrr93Ze/1vQAMrDqQGU1mYG9tb+bIhBBCiJzHojOKCRMmoFKpDLYyZcqYO6wX5Owas22XtlF5UWX2Xt+Lq50rqzuuZl6LeZKUCSGEEJnE4mvM/P39+fvvv/XPra0tKOQc2pSp0Wr4YvcXTNo1CQWFSgUqsabTGkp4lDB3aEIIkWFWVlY0b95c/1gIS2JBWU7qrK2tKVCggLnDSElRXniScxKze9H36L62O39f1iXD/d/sz+yms3GwcTBzZEIIYRr29vZs2rTJ3GEIkSqLT8wuXLhAwYIFsbe3p2bNmgQFBfHGG2+89Pi4uDji4uL0zyMjIzMnMH3/MnJMjdmea3vo8lsX7kTdwdHGkUUtF/FehffMHZYQQgiRa1h0RlGjRg2WLl1KcHAwCxYs4MqVK9SpU+eVyVZQUBBubm76zc/PL5OiyzmJmVbR8vW+r6m/rD53ou5Q1rMs//b7V5IyIYQQIoupFMWgTc6iPX78mKJFizJz5kz69OmT6jHJa8xu3bqFn58fN27coHDhwqYLRhMHq551gu/0BGxcTVd2Fnr49CE91vdg4/mNALxX4T0Wtlgoa10KIXKs6OhovLy8ALh3754syWShbt68SZEiRUz//m3hLL4p80Xu7u6UKlWKixcvvvQYOzs77Ozs9M8jIiIyJ5gXmzItu+LxpQ7dOkTnNZ259uQadlZ2zG02l75v9kWlUpk7NCGEyFQxMTHmDkGIVGWrjCIqKopLly7h7e1t7lDIzk2ZiqIw9+Bcai+uzbUn1yiepzj/9P2HflX6SVImhBBCmJFF15iNGjWKVq1aUbRoUW7fvs348eOxsrKiW7du5g4t23b+j4iLoO+GvqwJXQNAh7Id+LH1j7jZu5k5MiGEEEJYdGJ28+ZNunXrxoMHD8iXLx+1a9fmn3/+IV++fOYOLVs2ZR4PO06nNZ248PAC1mprpr8znaE1hkotmRBCCGEhLDox+/XXX80dwitknxozRVFYfHQxg/8aTGxiLEVci7C602reKvyWuUMTQgghxAssOjGzaNmkKTM6PpqBmwey/PhyAJqXbM7ytsvJ65jXzJEJIYQQIjlJzNLLoCnTMpsCz4SfodOaTpwOP41apWZy/cl8UvsT1BacSAohRGZTq9XUq1dP/1gISyKJWXrpEzMVWGAfrV9O/kL/P/sTnRBNAecC/NrhV+r51DN3WEIIYXYODg7s3LnT3GEIkSpJzNLNMhcwj0uMY8SWESz4bwEADXwb8Ev7X8jvnN/MkQkhhBDidSQxSy/F8hKza4+v0WlNJ/69/S8qVIytM5YJAROwUluZOzQhhBBCpIEkZumlb8q0jMRsy8UtvLv2XR4+fYiHgwc/t/uZZiWbmTssIYSwONHR0fj4+ABw9epVWZJJWBRJzNLNMmrMtIqWL3Z9wcRdE1FQqOJdhd86/4aPu49Z4xJCCEt2//59c4cgRKoso7onO7KApswHMQ9o8UsLJuyagILCgCoD2Nt7ryRlQgghcq158+bh4+ODvb09NWrU4NChQy899vTp03To0AEfHx9UKhWzZ8/OukBfQhKz9DJzU+a/t/7lze/eJPhiMPbW9ixts5SFLRdib21vlniEEEIIc1u1ahUjR45k/PjxHDlyhIoVK9KkSRPu3buX6vExMTEUK1aMr776igIFCmRxtKmTxCy9zFRjpigKi/5bRO0ltbn+5LpuAfI+/9CjUo8sjUMIIYSwNDNnzqRfv3706tULPz8/Fi5ciKOjI4sXL071+GrVqjFt2jS6du2KnZ1dFkebulzTxywxMZGEhAQTFhiHDaCgJtGU5b7C04SnjNg6gpUnV2KFFR1Ld2RBywW42bmZ9t6EECIHS0xMxMHBQf9Y/n5apsTERAAiIyOJiIjQ77ezs0s1iYqPj+fw4cOMHj1av0+tVtOoUSMOHDiQ+QGbSK5JzA4cOICjo6PJynPW3qAhEJ+QSPDmzSYr93Vaq1rTukJr/fN9Ifuy7NpCCJFTrFy5EkAmmrVgMTExAPj5+RnsHz9+PBMmTEhx/P3799FoNOTPbzhvZ/78+Tl79mymxWlquSYxq1mzJoUKFTJdgU9Ow1awtbOnefPmpis3FZvOb2LApgFExkXi5eTFkjZLqP1G7Uy9phBC5FSxsbE0bdoUgODgYOztpW+uJbp16xYAoaGhBu/fltLkmFlyTWJmbW2NjY2NCQvUTdqqUqlNW+4LErWJjA0Zy9f7vwag9hu1WdVxFQVdCmbK9YQQIjewsbFh3z5pbbB01ta6FMXFxQVXV9fXHu/p6YmVlRV379412H/37l2L6difFtL5P70yufN/WFQY7/z0jj4pG/nWSLYHbpekTAghhEiFra0tVapUISQkRL9Pq9USEhJCzZo1zRiZcXJNjZnJZeJ0GXuv76Xzms7cibqDs60zS9osoaNfR5NfRwghhMhJRo4cSY8ePahatSrVq1dn9uzZREdH06tXLwACAwMpVKgQQUFBgG7AQGhoqP7xrVu3OHbsGM7OzpQoUcIs9yCJWbqZvsZMURRm/zObj7Z9hEbR4JfPj7Wd11Las7TJriGEELldTEyMvkN5aGioSQeGCfPq0qUL4eHhjBs3jrCwMCpVqkRwcLB+QMD169dRq5+/b9++fZvKlSvrn0+fPp3p06dTr149sw0MkcQsvfQ1ZiqTFBcVH0XvP3qzJnQNAN3KdeO7Vt/hbOtskvKFEELoKIrCtWvX9I9FzjJ48GAGDx6c6mvJky0fHx+L+xmQxCy9TNjH7MKDC7Rd1ZbQ8FBs1DbMajKLgdUGolKZJukTQgghRPYgiVl6mSgx23h+I93XdiciLgJvZ29+7/w7NYtkn06KQgghhDAdGZWZbklVn+n7EmoVLRN2TqDVylZExEVQq0gtDvc/LEmZEEIIkYtJjVl6ZaDG7HHsY95b+x6bLmwCYHC1wcxoMgNbK1tTRiiEEEKIbEYSs3RLX2IWGh5Km1/bcPHhReyt7VnYYqEsQC6EEEIIQBKz9EtHjdnWS1vptKYTEXERvOH2Buu6rONN7zczKUAhhBCpUalU+ukyZJCVsDSSmKWXkRPMLvpvEYM2D0KjaKjzRh3WdlmLp6Nn5sUnhBAiVY6Ojpw+fdrcYQiRKun8n25pqzFTFIVP//6UDzZ9gEbR8H6F99n2/jZJyoQQQgiRgtSYpVcamjIVRWF48HC+OfQNAF/U/4KxdcZK1bkQQgghUiU1ZumVhqbMT/7+RJ+ULWq5iM/qfiZJmRBCmFlMTAz+/v74+/sTExNj7nCEMCA1Zun1mhqzRf8tYtr+aQD82PpHelfunVWRCSGEeAVFUfQLV1vacjxCSI1Zur08MTt59yRD/hoC6JovJSkTQgghRFpIYpZeL2nKjNfEE7g+kARtAq1KtWJsnbFZH5sQQgghsiVpykyvlzRlLvpvEcfCjpHXIS/ftfpO+pQJIXIsjUZDQkKCucMwWlxcHEWLFtU/trKyMnNEuZONjY187VMhiVm6pUzMouOjmbxnMgCTG0ymgHMBcwQmhBCZSlEUwsLCePz4sblDSRetVsvChQsBuHPnDmq1NB6Zi7u7OwUKFJBKjBdIYpZeqdSYrTy1knvR9/B196VP5T5mCkwIITJXUlLm5eWFo6NjtntT1Wg0PH36FAAfHx+ptTEDRVGIiYnh3r17AHh7e5s5IsshiVl6JetjpigKC/5bAMDAagOxsbIxU2BCCJF5NBqNPinLmzevucNJF41Gg62tLQD29vaSmJmJg4MDAPfu3cPLy0u+D89IYpZeyWrMzt4/y5E7R7BR29CzUk/zxSWEEJkoqU+Zo6OjmSNJPysrKypUqGDuMATPf44SEhIkMXtGGtbTzTAx++PcHwA0LNZQllsSQuR42a35Ulgm+TlKSRKz9ErWlLnh3AYA2pRuY6aAhBBC5AZXr15FpVJx7NixTL3O0qVLcXd3z9RriJQkMUuvF5oyI+Ii+OfmPwC0LNXSjEEJIYR4mZ49e9K2bVu0Wi2hoaGEhoai1WrZuXMnKpVKP8p0586dtGnTBm9vb5ycnKhUqRIrVqx4ZdlJyVLSljdvXho3bszRo0ez4M4yzsfHh9mzZxvs69KlC+fPnzdPQLmYJGbp9jwxO3jzIAoKvu6+FHYtbN6whBBCvFLSiMCYmJhUl2Tav38/FSpU4Pfff+fEiRP06tWLwMBANm7c+Nqy//77b+7cucOWLVuIioqiWbNmL51WxNLngHNwcMDLy8vcYeQ6kpil1wtNmQduHgCgZpGa5otHCCGESYwZM4YvvviCt99+m+LFizNs2DCaNm3K2rVrX3tu3rx5KVCgAFWrVmX69OncvXuXgwcP6mvUVq1aRb169bC3t2fFihVotVomTZpE4cKFsbOzo1KlSgQHBxuUeejQISpXroy9vT1Vq1ZNUQuXWpPj+vXrU/Tf+vPPP6lWrRr29vZ4enrSrl07AAICArh27RojRozQ1/i9rNwFCxZQvHhxbG1tKV26ND/99JPB6yqVih9++IF27drh6OhIyZIl2bBhw2u/buI5SczS64WmzP039gNQs7AkZkKI3EdRFKLjo82yZdUi5E+ePMHDw8Ooc5Kmg4iPj9fv+/TTTxk2bBhnzpyhSZMmzJkzhxkzZjB9+nROnDhBkyZNaN26NRcuXAAgKiqKli1b4ufnx+HDh5kwYQKjRo0yOv5NmzbRrl07mjdvztGjRwkJCaF69eoArF27lsKFCzNp0iTu3LnDnTt3Ui1j3bp1DBs2jA8//JBTp04xYMAAevXqxY4dOwyOmzhxIp07d+bEiRM0b96c7t278/DhQ6Njzq1kuox0e56YHb5zGIC3Cr9lxniEEMI8YhJicA5yNsu1o0ZH4WTrlObjN27ciJubG1qt7m+4Wq1Go9G88pzVq1fz77//smjRojRf5/Hjx3zxxRc4OztTvXp1/YS2w4cPp3379vrjpk+fzieffELXrl0BmDp1Kjt27GD27NnMmzePX375Ba1Wy48//oi9vT3+/v7cvHmT//3vf2mOBeDLL7+ka9euTJw4Ub+vYsWKAHh4eGBlZYWLiwsFCrx8xZrp06fTs2dPBg4cCMDIkSP5559/mD59OvXr19cf17NnT7p16wbAlClT+Oabbzh06BBNmzY1KubcSmrM0utZjVmcJoH7MfcB8MvnZ86IhBBCvEb9+vU5fPgwK1asYMWKFRw+fJgffvjhpcfv2LGDXr168f333+Pv7//a8t9++22cnZ3JkycPx48fZ9WqVeTPn1//etWqVfWPIyIiuH37NrVq1TIoo1atWpw5cwaAM2fOUKFCBezt7fWv16xpfOvMsWPHaNiwodHnvejMmTOvjDXJi3PEOTk54erqqp/hX7ye1Jil17PELCI+GoCibkVxtMm+Ey4KIUR6Odo4EjU6ymzXNoaTkxMlSpQgMjISgBIlSry06W7Xrl20atWKWbNmERgYmKbyV61ahZ+fH3nz5k11qgknp7TX7qWVWq1O0aSbfGBBUrNqVrCxMVz5RqVS6WsoxetJjVl66RMz3S932XxlzRmNEEKYjUqlwsnWySxbeicotba2xtr65XUTO3fupEWLFkydOpX+/funudwiRYpQvHjxNM3/5erqSsGCBdm3b5/B/n379uHnp2uBKVu2LCdOnCA2Nlb/+j///GNwfL58+YiMjCQ6Olq/L/kcZxUqVCAkJOSlsdja2r62Sbds2bKvjFWYhtSYpZsuMXsSp/uUWNZTEjMhhMgOrKysqFSp0ktf37FjBy1btmTYsGF06NCBsLAwQJe8GDsA4HU++ugjxo8fT/HixalUqRJLlizh2LFj+nnT3n33XcaOHUu/fv0YPXo0V69eZfr06QZl1KhRA0dHR8aMGcPQoUM5ePAgS5cuNThm/PjxNGzYkOLFi9O1a1cSExPZvHkzn3zyCaCbx2z37t107doVOzs7PD1TrmDz0Ucf0blzZypXrkyjRo34888/Wbt2LX///bdJvya5ndSYpZeSlJhFAJKYCSFETrFs2TJiYmIICgrC29tbv73Yad9Uhg4dysiRI/nwww8pX748wcHBbNiwgZIlSwLg7OzMn3/+ycmTJ6lcuTJjx45l6tSpBmV4eHjw888/s3nzZsqXL8/KlSuZMGGCwTEBAQGsWbOGDRs2UKlSJRo0aMChQ4f0r0+aNImrV69SvHhx8uXLl2qsbdu2Zc6cOUyfPh1/f38WLVrEkiVLCAgIMOnXJLdTKVk11thMbt68SZEiRbhx4waFC5tw8tczM+Hoh/wR50rb6xFsD9xOfd/6rz9PCCGysdjYWK5cuYKvr69Bh3Qh0uNVP0+Z9v5t4aQpM910NWZRCbo2/SJuRcwZjBBCiDTSarX6ecJKliyJWi2NR8JySGKWXs+aMuO1us6SshSTEEJkD4qi6Edl5vBGI5ENyceE9HqWmGkV8HT0xN5aqvSFEEIIkTGSmKWbVv9vEVdpxhRCCCFExklill7K88RMmjGFEEIIYQqSmKXXC02ZUmMmhBBCCFOQxCy9pMZMCCGEECYmozLT7XliVtCloHlDEUIIYRSZIkNYKknM0uuFpsx8TqnPkiyEEMLyWFlZ8eabb5o7DCFSJR8Z0uuFpsy8DnnNG4sQQohsJyAggOHDh5s7DGFhJDFLt+eJmadjysVehRBCWJaePXuiUqlQqVTY2Njg6+vLxx9/TGxsbJrLyOpkysfHRx+zk5MTb775JmvWrMmy64usJ4lZOiVq4oFnNWaOUmMmhBDZQdOmTbl16xYhISF89NFHLFq0iPHjx5s7rFeaNGkSd+7c4ejRo1SrVo0uXbqwf/9+c4cFQHx8vLlDyHEkMUunpwkxzx6pcLNzM2ssQggh0sbOzo78+fPj6OhI9erVadiwIdu2bQPgwYMHdOvWjUKFCuHo6Ej58uVZuXKl/tyePXuya9cu5syZo6/Funr1KgCnTp2iWbNmODs7kz9/ft5//33u37+vPzc6OprAwECcnZ3x9vZmxowZaY7ZxcWFAgUKUKpUKebNm4eDgwN//vknACdPnqRBgwY4ODiQN29e+vfvT1RUlD4mtVpNeHg4AA8fPkStVtO1a1d92ZMnT6Z27dr656+7j4CAAAYPHszw4cPx9PSkSZMmab4PkTaSmKVT7LPFy+2sHVCpVGaORgghzC86OvqlW/Lmwlcd+/Tp0zQdm1EXL17kwIED2NraAhAbG0uVKlXYtGkTp06don///rz//vscOnQI4P/t3XlUU1ceB/BvICQQkH0JoCwKBVQqKJUiakCZotKq055WHVR0rHN09AjVUrBatXVcaNVCO3WrHdvpuFeqjiIuCFEWERCwCCKuWGVplVUQAtz5g8mrEVTQSGLy+5yTc+C++9773d8JyY+b+14QFxcHPz8/zJ49G2VlZSgrK0OfPn1QXV2NUaNGwdvbG9nZ2UhMTERFRQXee+897lyRkZGQSqU4ePAgjh8/jpSUFJw/f77bMfP5fOjp6aG5uRn3799HcHAwzMzMkJWVhX379uHkyZOYP38+AGDAgAGwsLCAVCoFAJw5c0bhdwCQSqUICAgAgC6NAwB++OEHCAQCpKWlYfPmzd0eA3kKpuFu3brFALBbt24p9bg3k95mbAfY5u8slXpcQghRZ42NjaywsJA1NjZ22AbgsY9x48Yp9BWJRI/tK5FIFPpaWlp22q+7wsLCmK6uLjM0NGQCgYABYDo6Ouynn3567D4hISFs0aJF3O8SiYSFh4cr9Fm5ciV74403FNrk7z3FxcWsrq6OCQQCtnfvXm773bt3mYGBQYdjPcrR0ZF9+eWXjDHGmpqa2OrVqxkAdvjwYbZ161ZmZmbG6uvruf5HjhxhOjo6rLy8nDHG2Ntvv83mzZvHGGMsIiKCRUZGMjMzM1ZUVMSam5uZSCRix48f79I45OP39vZ+Yszd8aTn04t6/1Z3L8WM2TfffAMnJyfo6+vD19eX++9FlZpa2j/K1NcTqTgSQgghXRUYGIicnBxs374dISEhmDFjBt555x0AQGtrK1auXAlPT0+Ym5vDyMgIx44dQ2lp6ROPmZ+fj+TkZBgZGXEPd3d3AMDVq1dx9epVNDc3w9fXl9vH3Nwcbm5u3O+rV69W2P/hc0ZFRcHIyAgikQgxMTFYu3YtQkJCUFRUhEGDBsHQ0JDr6+/vj7a2NhQXFwMAJBIJUlJSALTPjo0aNQojR45ESkoKsrKyIJPJ4O/v36VxyA0ZMqTbee9J3a0Z9u3bB3d3d+jr68PT0xMJCQk9FGnn1P4+Znv27MHChQuxefNm+Pr6IjY2FsHBwSguLoa1tbXK4nrw/zVmBnwqzAghBAC3tqkzurq6Cr9XVlY+tu+jN3+Vr+NSBkNDQ7i4uKCurg7Lli3DrFmz8N1332HWrFn44osvEBcXh9jYWHh6esLQ0BARERFPXeBeX1+Pt956CzExMR222dra4sqVK0+Na86cOQofGdrZ/XHj8sjISMyYMYNb99Wd5TPyq0hLSkpQWFiI4cOH49KlS0hJSUFVVRV8fHwgEom6NA65hwtBddPdmiE9PR1TpkzBmjVr8Oabb2Lnzp2YOHEizp8/j4EDB6pgBC/BGrMNGzZg9uzZmDlzJvr374/NmzdDJBLhX//6l0rjetDSvgaCZswIIaSdoaHhYx/6+vpd7mtgYNClvs9LR0cH0dHRWLp0KRobG5GWloYJEyZg6tSpGDRoEPr27YvLly8r7CMQCNDa2qrQNnjwYFy8eBFOTk5wcXFReBgaGqJfv37Q09NDZmYmt09VVZXCsc3NzRX24/P/mDextLSEi4sLxGKxQlHm4eGB/Px8hfV2aWlp0NHR4WbjPD09YWZmhn/84x/w8vKCkZERAgICIJVKkZKSwq0v68o4XgbdrRni4uIwZswYREZGwsPDAytXrsTgwYPxz3/+s4cj/4Naz5g1NzcjJycHixcv5tp0dHQQFBSEjIyMTvdpampCU1MT93tdXR0AoKWlBTKZTGmxyWTtC1kN9Xop9biEEKLOWlpa0NraqvTX1J4gXzgvk8nQ1tZ+L8qJEydi+fLl2LRpE9zd3XHw4EGkpqbC1NQU33zzDWpqarh9AMDFxQW5ubm4evUqDA0NYWZmhjlz5uDHH3/E9OnTER4eDjMzM1y7dg379+/H119/DaFQiL/97W9YunQpzM3NYWVlhc8++wyGhobQ1dV9Yh6FQiF4PF6nfSZNmoQ1a9bg/fffx+LFi/H777/jww8/xMyZM2Fubs7tM3r0aMTHx2PBggWQyWTw8PAAj8dDeno6PvjgA67f08ahq6sLgUDw1Ji740nPp5aWFgDt7+O1tbUKOREKhR2O9Sw1Q0ZGBhYuXKjQFhwcjAMHDjzrkJ4bjzHGVHb2p7hz5w7s7e2Rnp4OPz8/rv2jjz6CVCpV+O9DbsWKFfj00087tO/cuZObrlUGz6atcGw5iWK9SSgRvKO04xJCCCEEaGhowF/+8pcO7cuXL8eKFSs6tD9LzSAQCPDDDz9gypQpXNvGjRvx6aefoqKiQjkD6Sa1njF7FosXL1aofm/fvo3+/fvDz88P9vb2SjzTOLQyhr6sDa46uk/vTgghGqCpqQk3btyAk5NTp7MWhHTHk55Pt2/fBgAUFhYqvH9r+vNOrQszS0tL6OrqdqhaKyoqIBaLO93n0SlO+fSnfAqbEELIs2ttbYWuri69phKleNLzSb7OrlevXjA2Nn7qsZ6lZhCLxd3q3xPUevG/QCDAkCFDkJSUxLW1tbUhKSlJYZqSEEIIIdrtWWoGPz8/hf4AcOLECZXWGGo9YwYACxcuRFhYGHx8fDB06FDExsbi/v37mDlzpqpDI4QQQogaeVrNMH36dNjb22PNmjUAgPDwcEgkEqxfvx4hISHYvXs3srOzsXXrVpWNQe0Ls0mTJuG3337DsmXLUF5eDi8vLyQmJsLGxkbVoRFCCCFEjTytZigtLVW4T96wYcOwc+dOLF26FB9//DFcXV1x4MABld3DDFDzqzKV4ddff0WfPn1w69Yt9O7dW9XhEELIS+3Bgwe4fv06nJ2dO9ybjJDuetLzSVvfv9V6jRkhhBD1pOH/05MeQs+jjqgwI4QQ0mXyK+caGhpUHAnRBPLnEV3h+we1X2NGCCFEfejq6sLU1JT7rkuRSNSt724kBGifKWtoaEBlZSVMTU07fJeqNqPCjBBCSLfI7/H0pC8iJ6QrTE1NVXrPMHVEhRkhhJBu4fF4sLW1hbW19Uv3fZlEfejp6dFMWSeoMCOEEPJMdHV16Y2VECWjxf+EEEIIIWqCCjNCCCGEEDVBhRkhhBBCiJrQ+DVmbW1tAICysjIVR0IIIYSQrpK/b8vfx7WFxhdmFRUVAIChQ4eqOBJCCCGEdFdFRQUcHBxUHUaP0fjvymxpaUFubi5sbGwUvrj0ZVBXV4f+/fujsLAQvXr1UnU4KkN5oBzIUR4oB3KUh3aanIe2tjZUVFTA29sbfL7GzyNxNL4we5nV1tbCxMQENTU1MDY2VnU4KkN5oBzIUR4oB3KUh3aUB83zck0hEUIIIYRoMCrMCCGEEELUBBVmakwoFGL58uUQCoWqDkWlKA+UAznKA+VAjvLQjvKgeWiNGSGEEEKImqAZM0IIIYQQNUGFGSGEEEKImqDCjBBCCCFETVBhRgghhBCiJqgw62Fr1qzBa6+9hl69esHa2hoTJ05EcXGxQp8HDx5g3rx5sLCwgJGREd555x3uq6XkSktLERISApFIBGtra0RGRqKlpaUnh6I0a9euBY/HQ0REBNemLTm4ffs2pk6dCgsLCxgYGMDT0xPZ2dncdsYYli1bBltbWxgYGCAoKAglJSUKx7h37x5CQ0NhbGwMU1NTzJo1C/X19T09lGfW2tqKTz75BM7OzjAwMEC/fv2wcuVKPHxdkqbl4fTp03jrrbdgZ2cHHo+HAwcOKGxX1ngvXLiAESNGQF9fH3369MHnn3/+oofWLU/Kg0wmQ1RUFDw9PWFoaAg7OztMnz4dd+7cUTiGpufhUXPmzAGPx0NsbKxCuybkgfwfIz0qODiYbd++nRUUFLC8vDw2btw45uDgwOrr67k+c+bMYX369GFJSUksOzubvf7662zYsGHc9paWFjZw4EAWFBTEcnNzWUJCArO0tGSLFy9WxZCey7lz55iTkxN79dVXWXh4ONeuDTm4d+8ec3R0ZDNmzGCZmZns2rVr7NixY+zKlStcn7Vr1zITExN24MABlp+fz8aPH8+cnZ1ZY2Mj12fMmDFs0KBB7OzZs+zMmTPMxcWFTZkyRRVDeiarVq1iFhYW7PDhw+z69ets3759zMjIiMXFxXF9NC0PCQkJbMmSJSw+Pp4BYD///LPCdmWMt6amhtnY2LDQ0FBWUFDAdu3axQwMDNiWLVt6aphP9aQ8VFdXs6CgILZnzx526dIllpGRwYYOHcqGDBmicAxNz8PD4uPj2aBBg5idnR378ssvFbZpQh5IOyrMVKyyspIBYFKplDHW/mKkp6fH9u3bx/UpKipiAFhGRgZjrP2PWEdHh5WXl3N9Nm3axIyNjVlTU1PPDuA51NXVMVdXV3bixAkmkUi4wkxbchAVFcWGDx/+2O1tbW1MLBazL774gmurrq5mQqGQ7dq1izHGWGFhIQPAsrKyuD5Hjx5lPB6P3b59+8UFr0QhISHsr3/9q0Lb22+/zUJDQxljmp+HR9+IlTXejRs3MjMzM4W/h6ioKObm5vaCR/RsnlSQyJ07d44BYDdv3mSMaVcefv31V2Zvb88KCgqYo6OjQmGmiXnQZvRRporV1NQAAMzNzQEAOTk5kMlkCAoK4vq4u7vDwcEBGRkZAICMjAx4enrCxsaG6xMcHIza2lpcvHixB6N/PvPmzUNISIjCWAHtycGhQ4fg4+ODd999F9bW1vD29sa3337Lbb9+/TrKy8sV8mBiYgJfX1+FPJiamsLHx4frExQUBB0dHWRmZvbcYJ7DsGHDkJSUhMuXLwMA8vPzkZqairFjxwLQnjzIKWu8GRkZGDlyJAQCAdcnODgYxcXFqKqq6qHRKFdNTQ14PB5MTU0BaE8e2traMG3aNERGRmLAgAEdtmtLHrSF9nxduxpqa2tDREQE/P39MXDgQABAeXk5BAIB98IjZ2Njg/Lycq7PwwWJfLt828tg9+7dOH/+PLKysjps05YcXLt2DZs2bcLChQvx8ccfIysrCwsWLIBAIEBYWBg3js7G+XAerK2tFbbz+XyYm5u/NHmIjo5GbW0t3N3doauri9bWVqxatQqhoaEAoDV5kFPWeMvLy+Hs7NzhGPJtZmZmLyT+F+XBgweIiorClClTuC/r1pY8xMTEgM/nY8GCBZ1u15Y8aAsqzFRo3rx5KCgoQGpqqqpD6VG3bt1CeHg4Tpw4AX19fVWHozJtbW3w8fHB6tWrAQDe3t4oKCjA5s2bERYWpuLoes7evXuxY8cO7Ny5EwMGDEBeXh4iIiJgZ2enVXkgjyeTyfDee++BMYZNmzapOpwelZOTg7i4OJw/fx48Hk/V4ZAeQB9lqsj8+fNx+PBhJCcno3fv3ly7WCxGc3MzqqurFfpXVFRALBZzfR69QlH+u7yPOsvJyUFlZSUGDx4MPp8PPp8PqVSKr776Cnw+HzY2NhqfAwCwtbVF//79Fdo8PDxQWloK4I9xdDbOh/NQWVmpsL2lpQX37t17afIQGRmJ6OhoTJ48GZ6enpg2bRo++OADrFmzBoD25EFOWePVhL8R4I+i7ObNmzhx4gQ3WwZoRx7OnDmDyspKODg4cK+XN2/exKJFi+Dk5ARAO/KgTagw62GMMcyfPx8///wzTp061WFqeciQIdDT00NSUhLXVlxcjNLSUvj5+QEA/Pz88Msvvyj8IcpfsB59o1dHo0ePxi+//IK8vDzu4ePjg9DQUO5nTc8BAPj7+3e4Vcrly5fh6OgIAHB2doZYLFbIQ21tLTIzMxXyUF1djZycHK7PqVOn0NbWBl9f3x4YxfNraGiAjo7iS5Guri7a2toAaE8e5JQ1Xj8/P5w+fRoymYzrc+LECbi5ub00H1vJi7KSkhKcPHkSFhYWCtu1IQ/Tpk3DhQsXFF4v7ezsEBkZiWPHjgHQjjxoFVVffaBt5s6dy0xMTFhKSgorKyvjHg0NDVyfOXPmMAcHB3bq1CmWnZ3N/Pz8mJ+fH7ddfquIN954g+Xl5bHExERmZWX1Ut0q4lEPX5XJmHbk4Ny5c4zP57NVq1axkpIStmPHDiYSidh//vMfrs/atWuZqakpO3jwILtw4QKbMGFCp7dN8Pb2ZpmZmSw1NZW5urqq7W0iOhMWFsbs7e2522XEx8czS0tL9tFHH3F9NC0PdXV1LDc3l+Xm5jIAbMOGDSw3N5e72lAZ462urmY2NjZs2rRprKCggO3evZuJRCK1uj3Ck/LQ3NzMxo8fz3r37s3y8vIUXi8fvrJQ0/PQmUevymRMM/JA2lFh1sMAdPrYvn0716exsZH9/e9/Z2ZmZkwkErE///nPrKysTOE4N27cYGPHjmUGBgbM0tKSLVq0iMlksh4ejfI8WphpSw7++9//soEDBzKhUMjc3d3Z1q1bFba3tbWxTz75hNnY2DChUMhGjx7NiouLFfrcvXuXTZkyhRkZGTFjY2M2c+ZMVldX15PDeC61tbUsPDycOTg4MH19fda3b1+2ZMkShTdfTctDcnJyp68DYWFhjDHljTc/P58NHz6cCYVCZm9vz9auXdtTQ+ySJ+Xh+vXrj329TE5O5o6h6XnoTGeFmSbkgbTjMfbQ7bUJIYQQQojK0BozQgghhBA1QYUZIYQQQoiaoMKMEEIIIURNUGFGCCGEEKImqDAjhBBCCFETVJgRQgghhKgJKswIIYQQQtQEFWaEEKXi8Xg4cOCAqsNQuu+//x48Hg88Hg8RERFcu5OTE2JjY5V+PicnJ+58j35vLCFEc1FhRoiGkr+pP+6xYsWKx+5748YN8Hg85OXlKT2uGTNmcDEIBAK4uLjgs88+Q0tLi9LPpWzGxsYoKyvDypUru9R/8+bN6NWrl8LY6uvroaenh4CAAIW+KSkp4PF4uHr1KgAgKysL+/fvV1rshJCXA1/VARBCXoyysjLu5z179mDZsmUKX5puZGSkirAAAGPGjMH27dvR1NSEhIQEzJs3D3p6eli8eLHKYpJrbm6GQCDodBuPx4NYLO7ysQIDA1FfX4/s7Gy8/vrrAIAzZ85ALBYjMzMTDx48gL6+PgAgOTkZDg4O6NevHwDAysoK5ubmzzkaQsjLhmbMCNFQYrGYe5iYmHBFhVgshrW1NTZs2IDevXtDKBTCy8sLiYmJ3L7Ozs4AAG9vb/B4PG52JysrC3/6059gaWkJExMTSCQSnD9/vtuxCYVCiMViODo6Yu7cuQgKCsKhQ4cAAFVVVZg+fTrMzMwgEokwduxYlJSUAAAYY7CyssJPP/3EHcvLywu2trbc76mpqRAKhWhoaAAAVFdX4/3334eVlRWMjY0xatQo5Ofnc/1XrFgBLy8vbNu2Dc7Ozlyh9Ky2bdsGU1NTJCUlwc3NDba2tkhJSeG2p6SkYMKECXB2dsbZs2cV2gMDA5/r3ISQlx8VZoRoobi4OKxfvx7r1q3DhQsXEBwcjPHjx3MF0Llz5wAAJ0+eRFlZGeLj4wEAdXV1CAsLQ2pqKs6ePQtXV1eMGzcOdXV1zxWPgYEBmpubAbR/1JmdnY1Dhw4hIyMDjDGMGzcOMpkMPB4PI0eO5AqdqqoqFBUVobGxEZcuXQIASKVSvPbaaxCJRACAd999F5WVlTh69ChycnIwePBgjB49Gvfu3ePOf+XKFezfvx/x8fHP9fHt559/jujoaBw/fhyjR48G0D5rlpyczPVJTk5GQEAAJBIJ197Y2IjMzEwqzAghVJgRoo3WrVuHqKgoTJ48GW5uboiJiYGXlxe3iN3KygoAYGFhAbFYzH2kNmrUKEydOhXu7u7w8PDA1q1b0dDQAKlU+kxxMMZw8uRJHDt2DKNGjUJJSQkOHTqEbdu2YcSIERg0aBB27NiB27dvcxcUBAQEcIXZ6dOn4e3trdCWkpICiUQCoH327Ny5c9i3bx98fHzg6uqKdevWwdTUVGHWrbm5Gf/+97/h7e2NV1999ZnGEhUVhdjYWEilUgwdOpRrDwwMRFpaGlpaWlBXV4fc3FxIJBKFAjMjIwNNTU1UmBFCqDAjRNvU1tbizp078Pf3V2j39/dHUVHRE/etqKjA7Nmz4erqChMTExgbG6O+vh6lpaXdiuHw4cMwMjKCvr4+xo4di0mTJmHFihUoKioCn8+Hr68v19fCwgJubm5cbBKJBIWFhfjtt98glUoREBDAFWYymQzp6encR6/5+fmor6+HhYUFjIyMuMf169e5RfYA4OjoyBWjz2L9+vX49ttvkZqaigEDBihsCwgIwP3795GVlYUzZ87glVdegZWVFSQSCbfOLCUlBX379oWDg8Mzx0AI0Qy0+J8Q0mVhYWG4e/cu4uLi4OjoCKFQCD8/P+5jyK4KDAzEpk2bIBAIYGdnBz6/6y9Fnp6eMDc3h1QqhVQqxapVqyAWixETE4OsrCzIZDIMGzYMQPsVkI+u8ZIzNTXlfjY0NOxW/I8aMWIEjhw5gr179yI6Olphm4uLC3r37o3k5GRUVVVxs3l2dnbo06cP0tPTkZycjFGjRj1XDIQQzUCFGSFaxtjYGHZ2dkhLS+OKBABIS0vjPoKTX5XY2tqqsG9aWho2btyIcePGAQBu3bqF33//vdsxGBoawsXFpUO7h4cHWlpakJmZyRVXd+/eRXFxMfr37w+g/crIESNG4ODBg7h48SKGDx8OkUiEpqYmbNmyBT4+PlyhNXjwYJSXl4PP58PJyanbcXbV0KFDMX/+fIwZMwZ8Ph8ffvihwvbAwECkpKSgqqoKkZGRXPvIkSNx9OhRnDt3DnPnzn1h8RFCXh70USYhWigyMhIxMTHYs2cPiouLER0djby8PISHhwMArK2tYWBggMTERFRUVKCmpgYA4Orqih9//BFFRUXIzMxEaGgoDAwMlBaXq6srJkyYgNmzZyM1NRX5+fmYOnUq7O3tMWHCBK5fQEAAdu3aBS8vLxgZGUFHRwcjR47Ejh07FIrNoKAg+Pn5YeLEiTh+/Dhu3LiB9PR0LFmyBNnZ2UqLGwCGDRuGhIQEfPrppx1uOBsYGIjU1FTk5eUpxCeRSLBlyxY0NzfT+jJCCAAqzAjRSgsWLMDChQuxaNEieHp6IjExEYcOHYKrqysAgM/n46uvvsKWLVtgZ2fHFUXfffcdqqqqMHjwYEybNg0LFiyAtbW1UmPbvn07hgwZgjfffBN+fn5gjCEhIQF6enpcH4lEgtbWVoWbtAYEBHRo4/F4SEhIwMiRIzFz5ky88sormDx5Mm7evAkbGxulxg0Aw4cPx5EjR7B06VJ8/fXXXHtgYCAaGxvh4uKicF6JRIK6ujruthqEEMJjjDFVB0EIIeru+++/R0RERI9+PZL83mZVVVUKa+IIIZqLZswIIaSLampqYGRkhKioqBd+rgEDBmDs2LEv/DyEEPVCM2aEENIFdXV1qKioANB+RaelpeULPd/Nmzchk8kAAH379oWODv0fTYg2oMKMEEIIIURN0L9ghBBCCCFqggozQgghhBA1QYUZIYQQQoiaoMKMEEIIIURNUGFGCCGEEKImqDAjhBBCCFETVJgRQgghhKgJKswIIYQQQtQEFWaEEEIIIWrif1LICKg1kpYbAAAAAElFTkSuQmCC",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]

From 30bad08fdddd9bcb1a1e6d879e62a8cb72e60912 Mon Sep 17 00:00:00 2001
From: nriccobo <Nicholas.Riccobono@nrel.gov>
Date: Wed, 6 Dec 2023 15:07:50 -0700
Subject: [PATCH 4/4] updated example script and modelling power

---
 .../example_run.ipynb                         | 155 +++++++++++-------
 .../modeling_options.yaml                     |   2 +-
 2 files changed, 99 insertions(+), 58 deletions(-)

diff --git a/examples/example_06_conversion_efficiency/example_run.ipynb b/examples/example_06_conversion_efficiency/example_run.ipynb
index 5140288..9e42799 100644
--- a/examples/example_06_conversion_efficiency/example_run.ipynb
+++ b/examples/example_06_conversion_efficiency/example_run.ipynb
@@ -15,7 +15,7 @@
     },
     {
       "cell_type": "code",
-      "execution_count": 37,
+      "execution_count": 53,
       "metadata": {},
       "outputs": [],
       "source": [
@@ -34,14 +34,12 @@
       "source": [
         "## Load Electrolyzer configuration from YAML file\n",
         "\n",
-        "This .yaml file initializes a 1.25MW electrolyzer stack as `ON` with the `BaselineDeg` controller. \n",
-        "\n",
-        "The power signal ramps linearly from 10% to 120% of the stack's rated power."
+        "This .yaml file initializes a 500kW electrolyzer stack as `ON` with the `BaselineDeg` controller. "
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 40,
+      "execution_count": 54,
       "metadata": {},
       "outputs": [
         {
@@ -78,62 +76,62 @@
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
-              "      <th>995</th>\n",
-              "      <td>1.494494e+06</td>\n",
-              "      <td>0.244494</td>\n",
+              "      <th>195</th>\n",
+              "      <td>1.472362e+06</td>\n",
+              "      <td>0.222362</td>\n",
               "      <td>0.005224</td>\n",
-              "      <td>3.023609e-07</td>\n",
+              "      <td>5.914409e-08</td>\n",
               "      <td>0</td>\n",
               "      <td>0.0</td>\n",
-              "      <td>996.0</td>\n",
+              "      <td>196.0</td>\n",
               "      <td>0.005224</td>\n",
               "      <td>1.790017</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>996</th>\n",
-              "      <td>1.495871e+06</td>\n",
-              "      <td>0.245871</td>\n",
+              "      <th>196</th>\n",
+              "      <td>1.479271e+06</td>\n",
+              "      <td>0.229271</td>\n",
               "      <td>0.005224</td>\n",
-              "      <td>3.026906e-07</td>\n",
+              "      <td>5.947382e-08</td>\n",
               "      <td>0</td>\n",
               "      <td>0.0</td>\n",
-              "      <td>997.0</td>\n",
+              "      <td>197.0</td>\n",
               "      <td>0.005224</td>\n",
               "      <td>1.790017</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>997</th>\n",
-              "      <td>1.497247e+06</td>\n",
-              "      <td>0.247247</td>\n",
+              "      <th>197</th>\n",
+              "      <td>1.486181e+06</td>\n",
+              "      <td>0.236181</td>\n",
               "      <td>0.005224</td>\n",
-              "      <td>3.030203e-07</td>\n",
+              "      <td>5.980355e-08</td>\n",
               "      <td>0</td>\n",
               "      <td>0.0</td>\n",
-              "      <td>998.0</td>\n",
+              "      <td>198.0</td>\n",
               "      <td>0.005224</td>\n",
               "      <td>1.790017</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>998</th>\n",
-              "      <td>1.498624e+06</td>\n",
-              "      <td>0.248624</td>\n",
+              "      <th>198</th>\n",
+              "      <td>1.493090e+06</td>\n",
+              "      <td>0.243090</td>\n",
               "      <td>0.005224</td>\n",
-              "      <td>3.033501e-07</td>\n",
+              "      <td>6.013327e-08</td>\n",
               "      <td>0</td>\n",
               "      <td>0.0</td>\n",
-              "      <td>999.0</td>\n",
+              "      <td>199.0</td>\n",
               "      <td>0.005224</td>\n",
               "      <td>1.790017</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>999</th>\n",
+              "      <th>199</th>\n",
               "      <td>1.500000e+06</td>\n",
               "      <td>0.250000</td>\n",
               "      <td>0.005224</td>\n",
-              "      <td>3.036798e-07</td>\n",
+              "      <td>6.046300e-08</td>\n",
               "      <td>0</td>\n",
               "      <td>0.0</td>\n",
-              "      <td>1000.0</td>\n",
+              "      <td>200.0</td>\n",
               "      <td>0.005224</td>\n",
               "      <td>1.790017</td>\n",
               "    </tr>\n",
@@ -143,21 +141,21 @@
             ],
             "text/plain": [
               "     power_signal  curtailment   kg_rate   stack_1_deg  stack_1_fatigue  \\\n",
-              "995  1.494494e+06     0.244494  0.005224  3.023609e-07                0   \n",
-              "996  1.495871e+06     0.245871  0.005224  3.026906e-07                0   \n",
-              "997  1.497247e+06     0.247247  0.005224  3.030203e-07                0   \n",
-              "998  1.498624e+06     0.248624  0.005224  3.033501e-07                0   \n",
-              "999  1.500000e+06     0.250000  0.005224  3.036798e-07                0   \n",
+              "195  1.472362e+06     0.222362  0.005224  5.914409e-08                0   \n",
+              "196  1.479271e+06     0.229271  0.005224  5.947382e-08                0   \n",
+              "197  1.486181e+06     0.236181  0.005224  5.980355e-08                0   \n",
+              "198  1.493090e+06     0.243090  0.005224  6.013327e-08                0   \n",
+              "199  1.500000e+06     0.250000  0.005224  6.046300e-08                0   \n",
               "\n",
               "     stack_1_cycles  stack_1_uptime  stack_1_kg_rate  stack_1_curr_density  \n",
-              "995             0.0           996.0         0.005224              1.790017  \n",
-              "996             0.0           997.0         0.005224              1.790017  \n",
-              "997             0.0           998.0         0.005224              1.790017  \n",
-              "998             0.0           999.0         0.005224              1.790017  \n",
-              "999             0.0          1000.0         0.005224              1.790017  "
+              "195             0.0           196.0         0.005224              1.790017  \n",
+              "196             0.0           197.0         0.005224              1.790017  \n",
+              "197             0.0           198.0         0.005224              1.790017  \n",
+              "198             0.0           199.0         0.005224              1.790017  \n",
+              "199             0.0           200.0         0.005224              1.790017  "
             ]
           },
-          "execution_count": 40,
+          "execution_count": 54,
           "metadata": {},
           "output_type": "execute_result"
         }
@@ -168,14 +166,68 @@
         "\n",
         "rated_power = model_input['electrolyzer']['stack']['stack_rating_kW']\n",
         "\n",
-        "# Linear ramp\n",
-        "power_signal_input = np.linspace( 0.1e3 * rated_power , 1.2e3 * rated_power, 1000)\n",
+        "# Linear ramping power signal [W]\n",
+        "power_signal_input = np.linspace(0.1e3 * rated_power, 1.2e3 * rated_power, 200)\n",
         "\n",
         "elec_sys, results_df = run_electrolyzer(model_input, power_signal_input)\n",
         "\n",
         "results_df.tail()"
       ]
     },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "### Power Signal\n",
+        "* Linear ramp power signal \n",
+        "* Confirm that the stack is initialized at time = 0.0 seconds"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 55,
+      "metadata": {},
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "<Axes: title={'center': 'Stack Up time'}, xlabel='Time (s)', ylabel='Time (s)'>"
+            ]
+          },
+          "execution_count": 55,
+          "metadata": {},
+          "output_type": "execute_result"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        },
+        {
+          "data": {
+            "image/png": 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",
+            "text/plain": [
+              "<Figure size 640x480 with 1 Axes>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "# Power input signal from DataFrame\n",
+        "results_df[\"power_signal\"].plot(title=\"Power Signal\", xlabel=\"Time (s)\", ylabel=\"Power (W)\")\n",
+        "\n",
+        "# Plot stack up-time to show start up delays \n",
+        "stack_uptime = results_df[[col for col in results_df.columns if \"_uptime\" in col]]\n",
+        "stack_uptime.plot(title=\"Stack Up time\", xlabel=\"Time (s)\", ylabel=\"Time (s)\")"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {},
@@ -184,24 +236,17 @@
         "\n",
         "* Converts DataFrame data to kW and kg/hr\n",
         "* low-heating value (LHV) = 33.33 kWh/kg\n",
-        "* Rated power = 1250kW "
+        "* Rated power = 500kW "
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 39,
+      "execution_count": 56,
       "metadata": {},
       "outputs": [
-        {
-          "name": "stdout",
-          "output_type": "stream",
-          "text": [
-            "Minimum Energy Conversion: 56.15 kW/kg\n"
-          ]
-        },
         {
           "data": {
-            "image/png": 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l/i5dujB69GjWrFnD8OHDWb16NW5ubjRt2lR/jFarxcvLy6DW5EXJk4XUfl4dHBzYvXs3O3bsYNOmTQQHB7Nq1SoaNGjA1q1bXxqrsTL7e2YuWq2W8uXLM3PmzFRfL1KkiMFzU34dAgMDWbNmDfv376d8+fJs2LCBgQMHZuuR4cK8JDETmeaPP/6gb9++tG/fnnnz5mXZdZNGhp07dy7Fp9Zz587pX0/6/8KFCynKOHfunMHzpJqF5BPCJtVaJClWrBgAp06demWMxjRrFi1aNEU8oBv5mfS6Kfz222/06NGDGTNm6PfFxsamexLcF7++SV8X0NVGvK72DqBVq1YEBQXx888/vzYxe/F7ntzZs2fx9PRMtbb1dXx9falevTqrVq1i8ODBrF27lrZt2xpMaVK8eHH+/vtvatWqlaEPCWq1moYNG9KwYUNmzpzJlClTGDt2LDt27Ej1A0pm3bM5FS9eHK1WS2hoKJUqVTLqvOPHj9OwYcN0dxl4Ub58+XB1dX3t7zFA06ZNyZcvHytWrKBGjRrExMSkecCKEKmRlF5kit27d9O1a1fq1q3LihUrsvTTY9WqVfHy8mLhwoUGQ+X/+usvzpw5Q4sWLQDw9vamUqVKLFu2zKCpbtu2bSn6bRUtWhQrKyt2795tsH/+/PkGz/Ply0fdunVZvHgx169fN3jtxU/jSW+YaUl6mjdvzqFDhzhw4IB+X3R0NN999x0+Pj7p7g+XnJWVVYoag7lz56a7VrBRo0bY2Ngwd+5cg3Jnz56dpvNr1qxJ06ZN+eGHH1KMqgOIj49n1KhRgOH38sWv6alTp9i6datRTejJdenShX/++YfFixdz//59g2ZM0PUz0mg0+qasFyUmJqbpe/zw4cMU+5ISk+TTPSTJzHs2l7Zt26JWq5k0aVKKWtpX1WZ17tyZW7du8f3336d47enTp0RHRxsVh1qtpm3btvz555+prnjyYizW1tZ069aN1atXs3TpUsqXL5+mfrdCvIzUmAmTu3btGq1bt0alUtGxY0fWrFlj8HqFChUy9Q+XjY0NU6dOpVevXtSrV49u3brpp8vw8fExGNoeFBREixYtqF27Nr179+bhw4fMnTsXf39/oqKi9Me5ubnRqVMn5s6di0qlonjx4mzcuDFF3xWAb775htq1a/Pmm2/Sv39/fH19uXr1Kps2beLYsWMAVKlSBYCxY8fStWtXbGxsaNWqVao1HJ9++ikrV66kWbNmDB06FA8PD5YtW8aVK1f4/fffTZb0tmzZkp9++gk3Nzf8/Pw4cOAAf//9t376AGPly5ePUaNGERQURMuWLWnevDlHjx7lr7/+SvOUKcuXL6dx48a0b9+eVq1a0bBhQ5ycnLhw4QK//vord+7c0c9lNm3aNJo1a0bNmjXp06ePfuoINzc3JkyYkK57AN2b/qhRoxg1ahQeHh4paq/q1avHgAEDCAoK4tixYzRu3BgbGxsuXLjAmjVrmDNnjsGcZ6mZNGkSu3fvpkWLFhQtWpR79+4xf/58ChcubDDoI7nMuufUJCYm8vPPP6f6Wrt27UxSO1eiRAnGjh3LF198QZ06dWjfvj12dnb8+++/FCxYkKCgoFTPe//991m9ejUffPABO3bsoFatWmg0Gs6ePcvq1av188YZY8qUKWzdupV69erpp+C4c+cOa9asYe/evQb9HgMDA/nmm2/YsWNHmqceEeKlzDQaVGQjSdMjpDZsXFF0Q9dfnC4jaWj8y7bx48e/9pqAMmjQoFce87Ih+ElWrVqlVK5cWbGzs1M8PDyU7t27Kzdv3kxx3O+//66ULVtWsbOzU/z8/JS1a9cqPXr0MJguQ1EUJTw8XOnQoYPi6Oio5MmTRxkwYIBy6tSpFFMYKIqinDp1SmnXrp3i7u6u2NvbK6VLl1Y+//xzg2O++OILpVChQoparTaYOiP5dBmKoiiXLl1SOnbsqC+vevXqysaNG9P09UhtmoXUPHr0SOnVq5fi6empODs7K02aNFHOnj2bIp6X/TykNqWIRqNRJk6cqHh7eysODg5KQECAcurUqVTv8WViYmKU6dOnK9WqVVOcnZ0VW1tbpWTJksqQIUMMpjxQFEX5+++/lVq1aikODg6Kq6ur0qpVKyU0NNTgmKQpGpJPTZF0X6lNYVKrVi0FUPr27fvSOL/77julSpUqioODg+Li4qKUL19e+fjjj5Xbt2/rjylatKjSokWLFOeGhIQobdq0UQoWLKjY2toqBQsWVLp166acP39ef8zLvo+Zdc8vetV0GS+en9HpMpIsXrxY/7ubJ08epV69esq2bdv0ryefLkNRdNNUTJ06VfH399efV6VKFWXixInKkydP9Me97G9Laj+T165dUwIDA5V8+fIpdnZ2SrFixZRBgwYZTEeTxN/fX1Gr1an+jRHCGCpFyea9PoUQQggzq1y5Mh4eHoSEhJg7FJHNSR8zIYQQIgP+++8/jh07RmBgoLlDETmA1JgJIYQQ6XDq1CkOHz7MjBkzuH//PpcvXzbrQvMiZ5AaMyGEECIdfvvtN3r16kVCQgIrV66UpEyYhNSYCSGEEEJYCKkxE0IIIYSwEJKYCSGEEEJYiBw/wWxiYiJHjx4lf/78snaZEEIIkU1otVru3r1L5cqVsbbO8emKXo6/06NHj1K9enVzhyGEEEKIdDh06BDVqlUzdxhZJscnZvnz5wd031hvb28zRyOEEEKItLhz5w7Vq1fXv4/nFjk+MUtqvvT29qZw4cJmjkYIIYQQxsht3ZBy190KIYQQQlgwScyEEEIIISyEJGZCCCGEEBYix/cxE0IIkbNotVri4+PNHYbIIBsbG6ysrMwdhsWRxEwIIUS2ER8fz5UrV9BqteYORZiAu7s7BQoUQKVSmTsUiyGJmRBCiGxBURTu3LmDlZUVRYoUyXWj9XISRVGIiYnh3r17ADKd1QskMRNCCJEtJCYmEhMTQ8GCBXF0dDR3OCKDHBwcALh37x5eXl4ma9acN28e06ZNIywsjIoVKzJ37txXTjT/+PFjxo4dy9q1a3n48CFFixZl9uzZNG/e3CTxGEsSMyGEENmCRqMBwNbW1syRCFNJSrATEhJMkpitWrWKkSNHsnDhQmrUqMHs2bNp0qQJ586dw8vLK8Xx8fHxvPPOO3h5efHbb79RqFAhrl27hru7e4ZjSS9JzIQQQmQr0h8p5zD193LmzJn069ePXr16AbBw4UI2bdrE4sWL+fTTT1Mcv3jxYh4+fMj+/fuxsbEBwMfHx6QxGSvXJGaJiYkkJCSYOwwhhBDplJCQgKIoaLVa6fyfQ2i1WhRFSbXGLDExEYDIyEgiIiL0++3s7LCzs0tRVnx8PIcPH2b06NH6fWq1mkaNGnHgwIFUr79hwwZq1qzJoEGD+OOPP8iXLx/vvvsun3zyidlGjOaaxOzAgQPSJ0EIIbIxa2trChQoQFRUVI6bLuPu3bt88MEHHDp0CGtra65du5bqvjx58vDzzz/TokWL15b51VdfsWnTJvbs2ZMFd5A+8fHxPH36lN27d+sTsSQxMTEA+Pn5GewfP348EyZMSFHW/fv30Wg0KdbWzJ8/P2fPnk31+pcvX2b79u10796dzZs3c/HiRQYOHEhCQgLjx4/PwJ2lX65JzGrWrEmhQoXMHYYQQoh0io2N5caNGzg7O2Nvb2/ucIzSq1cvli9fnmJ/48aN+euvv5gyZQrh4eEcOXIENzc3XF1dU91369Yt8uTJk2qNUXJjxozhww8/xNXVNTNuySRiY2NxcHCgbt26Kb6nt27dAiA0NNTg/Tst955WWq0WLy8vvvvuO6ysrKhSpQq3bt1i2rRpkphlNmtra337sVlpNRAXDiorsHYGawdzRySEENmCRqNBpVKhVquz3VQZKpWKpk2bsmTJEoP9dnZ2qNVqLl++TJUqVShdurT+tdT2FSxYMM3XtOSELIlarUalUmFjY5PiPdraWpeiuLi4pOlePD09sbKy4u7duwb77969S4ECBVI9x9vbO8VEt2XLliUsLIz4+HizDDTJXj/Z2ZWiwLVVsLUWrHaAdd6w1gtWO8La/LClBux/D05/Bbc2QtRVUKT/hBBC5CR2dnYUKFDAYMuTJw8+Pj78/vvvLF++HJVKRc+ePVPdB7oEb/369foyb968Sbdu3fDw8MDJyYmqVaty8OBBACZMmEClSpUMYvjhhx8oW7Ys9vb2lClThvnz5+tfu3r1KiqVirVr11K/fn0cHR2pWLFiiv5Z+/btIyAgAEdHR/LkyUOTJk149OgRy5cvJ2/evMTFxRkc37ZtW95//33TfSFfwtbWlipVqhASEqLfp9VqCQkJoWbNmqmeU6tWLS5evGjQZ/H8+fN4e3ubbfRvrqkxMxtFC//0hivLXtipAhTdw9h7uu3BIcPzrJ3AzR/cyoF7uef/2xcAGZEkhBC6D72aGKNP02g0HD9+HICKFSumr5O3laPJ/hb/+++/BAYG4urqypw5c3BwcCA+Pj7FvuSioqKoV68ehQoVYsOGDRQoUIAjR468dGDEihUrGDduHN9++y2VK1fm6NGj9OvXDycnJ3r06KE/buzYsUyfPp2SJUsyduxYunXrxsWLF7G2tubYsWM0bNiQ3r17M2fOHKytrdmxYwcajYZOnToxdOhQNmzYQKdOnQDdHGWbNm1i69atJvlavc7IkSPp0aMHVatWpXr16syePZvo6Gj9KM3AwEAKFSpEUFAQAP/73//49ttvGTZsGEOGDOHChQtMmTKFoUOHZkm8qZHELLOdnKBLylTW4D8GivUAJx9ABQlPIPoqRF2BiHPw5BQ8PgURZyAxWpesJU/YbD2eJWrJkjY7j6y/NyGEMCdNDKx2Nvo0K+DNpCcX03ntzlG6D9BG2LhxI87OhvGOGTOGMWPGYGdnh4ODg0GTW2r7XvTLL78QHh7Ov//+i4eH7j2gRIkSL73++PHjmTFjBu3btwfA19eX0NBQFi1aZJCYjRo1Sj+4YOLEifj7+3Px4kXKlCnD119/TdWqVQ1q2vz9/fWP3333XZYsWaJPzH7++WfeeOMNAgIC0vIlyrAuXboQHh7OuHHjCAsLo1KlSgQHB+sHBFy/ft2gGbxIkSJs2bKFESNGUKFCBQoVKsSwYcP45JNPsiTe1EhilpkiL0LoV7rHNX6EYoGGr9u6g20lyFPJcL82UXfuk1Pw+KTu/yenIfICxD+Ee7t124scvHUJ2ovJmpsf2Bj/R0sIIYTp1a9fnwULFhjsS0qo0uPYsWNUrlw5TWVER0dz6dIl+vTpQ79+/fT7ExMTcXNzMzi2QoUK+sdJSyXdu3ePMmXKcOzYMX3SlZp+/fpRrVo1bt26RaFChVi6dCk9e/bM0rnnBg8ezODBg1N9befOnSn21axZk3/++SeTo0o7ScwyU+hXoE0A76bga0T7utoa3Mrotjc6Pt+viYWIs7pataTatSenIPoaPL2j28K2GZbl5JOyOdS1DFiZblSLEEKYhZWjrubKSCZryjSSk5PTK2u0jJVa8+bLREXpvk7ff/89NWrUMHgt+f2/2Ak/KaFKah593TUrV65MxYoVWb58OY0bN+b06dNs2rQpzXEKScwyT+JTuLZa99jvU9P0RbCy19WuJa9hS4iEJ6GGydrjUxAbpmsqjb4Ktzc+P15lBS4lwNVPV6vmWvbZ/6XBWuZ6E0JkEyqV0c2JACq1Fic33fI8KhtnyGYjPJNUqFCBH374gYcPH7621ix//vwULFiQy5cv07179wxdMyQkhIkTJ770mL59+zJ79mxu3bpFo0aNKFKkSLqvlxtJYpZZbv0JiZHgVBS86mTutWxcwLOGbntR7H1dE6g+YTutaxpNeKzr0xZxDm6ue+EE1bMaNj9wK/sscSurS9xsDau6hRAiu1Kr1QZTUGSVuLg4wsLCDPZZW1vj6emZrvK6devGlClTaNu2LUFBQXh7e3P06FEKFiyY6ijEiRMnMnToUNzc3GjatClxcXH8999/PHr0iJEjR6bpmqNHj6Z8+fIMHDiQDz74AFtbW3bs2EGnTp309/Huu+8yatQovv/++1TnbhOvJolZZklqUizSEVRm+jRm7wn29SB/vef7FEXX5PnkFDw5oxto8CQUIkIh7gFEX9Ftt5NVPTsUTFa79ux/+3xZe09CCJFNBQcH6/tsJSlduvRLZ6V/HVtbW7Zu3cqHH35I8+bNSUxMxM/Pj3nz5qV6fN++fXF0dGTatGl89NFHODk5Ub58eYYPH57ma5YqVYqtW7cyZswYqlevjoODAzVq1KBbt276Y9zc3OjQoQObNm2ibdu26bq33EylKIpi7iAy082bNylSpAg3btygcOHCWXfhjWV0NVJ1N0DhVll33YyIDX+eqD0Jff746e2Xn2PnmTJZcysLDoVkWg8hhEnFxsZy5coVfH19s93M/7lNw4YN8ff355tvvnnlca/6nprt/dvMpMYsM8SG65IygHxvmzcWY9jn021edQ33xz95lqSd0dWsPXmWsEVfhbj7EL5Ht73I2kWXoLn56QYbJG3OxUBtASswCCFyLY1Gw8mTJwEoX7682RarzokePXrEzp072blzp8GUGiLtJDHLDPf36/538wO7vOaNxRRs3cDzLd32osSYZ33VzhjWsEVe1PWvS20eNpU1uBQ3TNZcy+gGHtjmybp7EkLkaskXzBamUblyZR49esTUqVPN0o8vJ5DELDM8PqX7P08V88aR2awdwaOybnuRJh6iLj6vWYs8p5vmI+KsbuLcpIEH/GF4nr2XYbLmUlo3ZYhjUVDLJ1ohhLB0V69eNXcI2Z4kZpkhqRnTNZd+WrCyfdbXzA/o8Hy/osDTW8+StBeStYizEHPz+fJUySfPVduBa6nnyZrrszneXErLBLpCCCFyFEnMMkNkLk/MXkalAsfCuq1AI8PXEqIg8rxhshZxFiLOgzZON83H45Mpy3Qs/DxZS0rYXMvI4AMhcrAcPmYtV5HvZUqSmJmaokiNWXrYOIPHm7rtRVoNxFxPJWE7B7F3dTVtMTfhbojhedZOKRM2l9LgUhKs0z5bthDCciR10o+Pjzdq1nthuWJidIvQv7jaQG4niZmpxYXrFidHBc6mW3oj11JbgbOvbivYzPC1+EfJmkSfPY68qOvL9uiIbjOg0k3661r6WeJWWtdM6lIaHAuZb845IcRrWVtb4+joSHh4ODY2NgaLURtDo9HoH8fGxsqoTDNQFIWYmBju3buHu7u7fA9eIImZqUWc1/3vVFRqZjKbbZ7UR4tqEyDqcsqE7ckZ3aoHSctU3dlieJ6Vo65GzfVZwuZS6vn/svKBEGanUqnw9vbmypUrXLt2Ld3lKIpCREQEANeuXcvSBbaFIXd3dwoUKGDuMCyKJGamFnND97+Tj1nDyNXUNs+TK9o8368ousEFked1yVrkOV0iHXkOIi+BJgYeH9dtydnnT5asPatpk3nZhMhStra2lCxZkvj4+AyVU6xYMRNFJNLLxsZGaspSIYmZqT29o/vfwfvVx4msp1KBQ37dlnz9Um0CRF19lqydeyF5O6/7nsbe1W3JR4yqrHXJWVLC9mLyZp9fBiAIkQnUarXM/C9yLEnMTC1p+SJJzLIXtQ24ltRthVoavpYQ8axm7fzzOdginz1PjH7++PZGw/NsXFPWsLkmDUBwyrp7E0IIkW1IYmZq+hqzguaNQ5iOjSvkrarbXqSfl+3885q2pMfRV3UJ3cP/dFty+mk+ShvWtjm+IZPpCpHJYmJi8PPzAyA0NBRHR0czRyTEc5KYmVqsNGXmGgbzsjUwfE0TB1GXDGvYkvq1xT14+TQfajtwKZF6f7acsLyXEBZAURT94AGZR0tYGknMTE2aMgWAld0Lqx8kE/fghVq2F2rbIi/qJtN9clq3JWeX93mS9mJtm0sJ3fWEEEJke5KYmZo0ZYrXscsL+WrqthfpJ9M9l7I/W8wNXUIXtx/u7zc8T6XWjQJ2KfWslq2Urh+bSylwLCJNo0IIkY1IYmZKiTG6fkUgNWbCeC9OpktTw9cSoyHygq6GLflUHwkRunnboi7DneBkZT5rGtUnbC8kb3b5ZNSoEEJYGEnMTCmptszKEaxdzBuLyFmsnSBPJd32Iv3cbEmJ2oXno0Rf1zSaNGr0xaQtqbbNxjUr7koIIUQykpiZUtx93f/2UhMhsojB3Gx1DV/TN42ef56sJT2OvvbqUaP2BZ6tgpCsls25uPRnE0KITCSJmSnFP9L9b5vHvHEIAcmaRpsYvqaJfbZsVSpJW+xdiA3TbeF7DM9TqcGx6AsJW8nnSZtM9SGyCZVKpZ8uQ5ZjEpZGEjNTin+s+18SM2HprOxfPmo0/skLTaIXDJO3hAiIvqLbkq81qrZ93p8t+SAEWQVBWBBHR0dOn06leV8ICyCJmSklPKsxs3E3axhCZIit28sn1E1aa/TFGrbIC7pNGw9PQnVbctYuKZtFk2rcZIF4IYTQk8TMlKTGTORkr1xrVKOb0sMgYXv2OPoqJEbCw8O6LTl7r1QStlLgUlxXsyeEELmIJGampO9j5m7WMITIcmorcPbRbd6NDV/TxOn6s6WWtMWG6WrhYu9B+N5kharAqahhPzZ9f7ai0p9NpFtMTAzVqlUD4N9//5UlmYRFkcTMlKTGTIiUrOzAraxuSy4hIlk/tguG87NFX9VtYdsMz1Pb6kaIGtSwPRtFal9A+rOJV1IUhdDQUP1jISyJJGamFC99zIQwio0reFTRbS9SFIgLT33UaNL8bBFndFty1s6pT6jrUlJqs4UQFk8SM1NKeKz7X/74C5ExKpWu75m9F3jVNnxNq4GnN58nai8mb9FXITEKHh3RbcnZ5Ut9EIJzcbB2yJJbE0KIVzFrYhYUFMTatWs5e/YsDg4OvP3220ydOpXSpUvrj4mNjeXDDz/k119/JS4ujiZNmjB//nzy589vxshfQuYxEyLzqa10fc+cioL3O4avvdifLflUH0/v6GrhwsMhfF+yQlW6dUVTS9qcioJaPsMKIbKGWf/a7Nq1i0GDBlGtWjUSExMZM2YMjRs3JjQ0FCcnJwBGjBjBpk2bWLNmDW5ubgwePJj27duzb1/yP6wWQN/HzN2cUQiRe72yP1tkymQt6XHCE90qCTHXIexvw/PUNuBcLPWpPhwKSn82IYRJmTUxCw42XHB56dKleHl5cfjwYerWrcuTJ0/48ccf+eWXX2jQoAEAS5YsoWzZsvzzzz+89dZb5gj75aTGTAjLZeMCHm/qthcpim45tcikBeIvPE/aoi7qVkmIOKfbkrN2ej5qNPmkunYeWXNfQogcxaLq5588eQKAh4fuD9rhw4dJSEigUaNG+mPKlCnDG2+8wYEDB1JNzOLi4oiLi9M/j4yMzOSon1G0z/uYSed/IbIPlUq3vq19PshXy/A1RQsxN1NOqBtxXrf6QWI0PDqm25Kzy5t6wuZSQpfQCbNRqVQULVpU/1gIS2IxiZlWq2X48OHUqlWLcuXKARAWFoatrS3u7u4Gx+bPn5+wsLBUywkKCmLixImZHW5KiVG6P+IgNWZC5BQqNTi9odsKNDJ8TROvS84MVkB4lsA9vQVxDyDuANw/kLJcx8Ip1xp1KaVb11RtkzX3los5Ojpy9epVc4chRKosJjEbNGgQp06dYu/e5JNMGmf06NGMHDlS//zWrVv6xWozVcKzmjmVlcxWLkRuYGULrqV1W3IJUbpm0IhkCVvkOV2Xh5ibuu3udsPzVFbP+rOVTDnlh2MhXaIohMjRLCIxGzx4MBs3bmT37t0ULlxYv79AgQLEx8fz+PFjg1qzu3fvUqBAgVTLsrOzw87OTv88IiIi0+I2kBit+9/aSToDC5Hb2ThDnkq6Lbm4By8ZhHABNDHP1x5ls+F5Vvap9Gd7Vutm5yl/d4TIIcyamCmKwpAhQ1i3bh07d+7E19fX4PUqVapgY2NDSEgIHTp0AODcuXNcv36dmjVrmiPkl3sxMRNCiJexy6vbPJP1kVUUeHrbsD9bxHmIugCRl3SDEB6f1G3J2binPqGuS0ndoAdh4OnTp9StWxeA3bt34+Agc9gJy2HWxGzQoEH88ssv/PHHH7i4uOj7jbm5ueHg4ICbmxt9+vRh5MiReHh44OrqypAhQ6hZs6bljchMSsysJDETQqSDSqVrrnQsBPnrG76mTdRNnvtiLVtSrVvMdd3AoweHdFtyDt4pl61yKaVrMrWyS3l8LqDVavnvv//0j4WwJGZNzBYsWABAQECAwf4lS5bQs2dPAGbNmoVaraZDhw4GE8xaHE2M7n+pMRNCmJraWjea06UE0NzwtcQYiLqU+iCEuHDdxLpP78C9XYbnqdTg5JP6IATHIrJIvBBmYvamzNext7dn3rx5zJs3LwsiygB9U6ajeeMQQuQu1o7gXl63JRf/CCIuPE/WXmwmTYzSrZIQdRnuGM4pidoOXIqn0p+tlG6ZLOnPJkSmsYjO/zmC9DETQlga2zzgWV23vUhRIDYs9UEIUZd0i8Q/CdVtyVm7pL50lUtJsHXLmvsSIgeTxMxUJDETQmQXKpWu75mDN3jVNXxNq9H1W0tt1Gj0VUiMhIeHdVty9l6pT6ori8QLkWaSmJmKdP4XQuQEaivdRLfOvkATw9c0sbqmz9QGIcSGQew93RaefD5KlW6S3tQGIcgi8UIYkN8GU5HO/0KInM7KHtz8dFtyCREvNI0mm1Q3IQKir+m2sG2G56ltdDVqyRM2l1K6Gr1M6s/m6emZKeUKkVGSmJmKdP4XQuRmNq7gUUW3vUhRdKNDX0zYXmwe1cZBxFndllyqi8QnTaqb/kXinZycCA8PT/f5wrLNmzePadOmERYWRsWKFZk7dy7Vq1dP9dilS5fSq1cvg312dnbExsZmRaipksTMVKSPmRBCpKRS6fqe2XuBV23D11JbJD7pf6MXiU/q0yaLxOdmq1atYuTIkSxcuJAaNWowe/ZsmjRpwrlz5/Dy8kr1HFdXV86dO6d/bu6F7SUxMxVJzIQQwjhGLRL/Qi1bmheJTz4IQRaJz+lmzpxJv3799LVgCxcuZNOmTSxevJhPP/001XNUKtVLl3k0h1yTmCUmJpKQkJBp5VslRKEGNCp7tJl4HSGEyB1U4FBMt+VvavhSom6ReFXkBd0WdREiL6CKPI8q4eWLxCsqK3DyReNYnD92nOFWhCN9R3yNTf7qYJv+plGRORITEwGIjIw0WPc6+ZrYSeLj4zl8+DCjR4/W71Or1TRq1IgDB1JJ4J+JioqiaNGiaLVa3nzzTaZMmYK/v78J78Q4uSYxO3DgAI6Omdf/q3rsFbyBE6GXuX5h82uPF0IIkVFOQKVnG2ALNjYROGtv46y9jZNyB2ftLZyV2zhpb2OtxEPURayjLtIh6X33n9ZosOWa9TtcsGlPrDqvWe5EpBQToxtU5+dnONhk/PjxTJgwIcXx9+/fR6PRkD9/foP9+fPn5+zZVPowAqVLl2bx4sVUqFCBJ0+eMH36dN5++21Onz5N4cKFTXMjRso1iVnNmjUpVKhQppVvtWsO3IPylatT7o3mrz9BCCFEllEULQlPb6OKukjCg9N8N/MjSubX0qTmG1jFXKVY4iZ8lZ1o/MYQV/x/JCgqErQJJGgTSNQkoqAkKy/1lWuSH/eqY3OSPA55cLZ1NmmZt27dAiA0NNTg/Tu12rL0qlmzJjVr1tQ/f/vttylbtiyLFi3iiy++MNl1jJFrEjNra2tsbDKxb8Gz6TKs7dwgM68jhBAifWx9wc2XOPe3Gb5sBABL/xnPozu/0yByJxWIwvrkWC4cHsvAe7DzqXnDzU4WtVxE/yr9TVqmtbUuRXFxccHV1fW1x3t6emJlZcXdu3cN9t+9ezfNfchsbGyoXLkyFy9eND5gE8k1iVmmk87/QgiRLcQmPp8KoeeGXmCre/y+C0zzhLK2sKMwLH4CH92HCKxRq9QvLU/Fy0fxmXuEX1axUpl/0XtbW1uqVKlCSEgIbdu2BUCr1RISEsLgwYPTVIZGo+HkyZM0b26+li9JzEwlaYJZmflfCCEskkar4ecTPzM2eKx+XyGXQnR9syvVClajuEdx4mxsibv0DbaXF9PbTaGXlyeqN2eDz7uyeHs2MHLkSHr06EHVqlWpXr06s2fPJjo6Wj9KMzAwkEKFChEUFATApEmTeOuttyhRogSPHz9m2rRpXLt2jb59+5rtHiQxMxWpMRNCCIukKAp/XfyLT//+lJP3TkL889dCB4Xi6pKsmSzfD1C8Dxzqj+rJKTjwHlxZDtUXgHOxrA1eGKVLly6Eh4czbtw4wsLCqFSpEsHBwfoBAdevX0etfl77+ejRI/r160dYWBh58uShSpUq7N+/P8WAg6ykUnJ4r8SbN29SpEgRbty4kbkjLFa76IZwt7qgm+BQCCGE2R26dYhP/v6EnVd3AuBu786oKqOY0mYKAPfu3cPJ6SUfqDXxcHY6nJykW6HAygHKj4cyI2U+tCyQZe/fFubljebCOPqmTFmSSQghzO3iw4t0XtOZGj/UYOfVndhZ2TGq5iguDb3E2EZjiY6OJjo6+uVJGYCVLfiPgeYnIX8D0DyFY59CcFW4fyjrbkbkKpKYmYI2Ube0COgW+RVCCGEWd6PuMnjzYMrOK8ua0DWoUNGjYg/ODznPtMbT8HBIx0SyriWhwd/w1jLdUlCPT8DWt+C/oboF2oUwIUnMTEEb9/yxlenmVxFCCJE2UfFRTNw5kRJzSzDv33kkahNpVqIZxz44xtK2S3nD7Y2MXUClgmKB0OIs+AYCCpyfCxv94MZ6U9yCEIAkZqaheSExU0tiJoQQWSVBk8D8f+dT/JviTNg1gaj4KKoVrMb2wO1s7r6ZCvkrpDgnNjaWFi1a0KJFC2JjY1Mp9RXsPaHmMmiwDZyL69bt3NMOdreHmFsmuiuRm8moTFNIqjFTqUEtX1IhhMhsiqLw+5nfGRMyhgsPLwBQwqMEUxpMoaNfx1fOH6bRaNi8ebP+cboUaKTre3Z6MoR+DTfXQdjfUCkISnwAavPP6yWyJ6kxMwXNs09cUlsmhBCZbs+1PdT8sSad1nTiwsML5HPMx7fNviV0YCid/Dtl3aSu1g5Q8UtodgTyvgWJkfDfYNhWGx6fzJoYRI4jiZkpJDVlSmImhBCZ5vyD87Rb1Y66S+ty8NZBnGycGF9vPJeGXmJQ9UHYWJlpCgv38tB4H1SdBzau8OAf+OtNODYGEmVdJ2EcScxMIakpUzr+CyGEyYVHhzNk8xD85/uz/ux6rFRWfFDlAy4OvciEgAm42LmYO0RdV5ZSA6FFKBRpD0oihAbB5vK6Jk4h0kg6RJmC1JgJIYTJPU14yjcHv2HK3ilExOmmpWhZqiVTG03FL5/5ZmZ/JcdCUOd3uPkH/DsIoi7B9nfA5314cwbY5zN3hMLCSY2ZKUiNmRBCmIxW0bLixArKzCvDpyGfEhEXQeUClQkJDOHPbn9ablL2osJtoOUZKDUUUMHVn2BTWbi8DHL2gjsigyQxMwWt1JgJIYQp7Ly6k+rfV+e9de9x/cl1CrsWZnnb5fzX/z8a+DYwd3jGsXGBqnOg8T/gXhHiHsA/PWF7I4i4YO7ohIWSxMwUNFJjJoQQGXH2/lna/NqG+svqc/jOYVxsXZjSYArnB5/n/Yrvo1aZ7u3KyckJRVFQFOXVSzKZimd1aPovVJqqW2/z7nZd37MT4yAxJvOvL7IVScxMQWrMhBAiXe5F32PQpkGUm1+ODec2YKWyYmDVgVwcepHRdUbjYONg7hBNQ20Dfh9Di1Pg3UT3vnHqC9hYBq6tluZNoSed/01BX2Mm62QKIURaPE14yux/ZhO0N4jI+EgA2pRuw1eNvqKMZxkzR5eJnItBwF+6CWmPjIToa7CvC1yYD1W+gTwpVyoQuYvUmJmC1JgJIUSaaBUty48vp9S3pRizfQyR8ZFU8a7Czh47Wd91fZYkZbGxsXTq1IlOnToZvySTKahUuik1WpyB8pN0zZv3dkFwZd1IzrgHWR+TsBiSmJmC9DETQojX2n5lO1W/q0qP9T24GXGTN9zeYEX7FRzqd4h6PvWyLA6NRsNvv/3Gb7/9lv4lmUzB2gHKfw4tz8IbnUHR6mrO/iwFFxaA1oyxCbORxMwUZEkmIYR4qfMPztN6ZWsaLm/I0bCjuNq5MrXRVM4NPse75d81acf+bMnpDai9Chru0K0iEP8Q/h0IwVXg3m5zRyeyWC7/bTARmcdMCCFSePT0ESOCR+A/358/z/+JlcqKwdUGc2noJT6u9TH21tIv10D+AGh6BKp+C7Z54PFx+Lse7OkIkZfMHZ3IIpKYmYLM/C+EEHoJmgTmHpxLibklmH1wNonaRFqUbMGpgaeY23wuno6e5g7RcqmtodQgaHkeSnygW+rpxu+6yWkPj4T4R+aOUGQyScxMQWrMhBACRVHYfGEzFRZWYGjwUB4+fUg5r3JsfW8rG9/dmLNHW5qavSdUXwDNjj+bXiMBzs2CDcXh7BzQxJs7QpFJJDEzBRmVKYTI5U7fO03TFU1p8UsLzt4/i6ejJwtaLODogKO8U/wdc4eXfbmXg/rBEBAMbv66GrMjw2GTP9xYL/Of5UCSmJmCjMoUQuRS4dHhDNw0kAoLK7D10lZs1DZ89PZHXBxykQ+qfoC1WqbLNImCTaDZMai+COy9IOoi7GkHIQHw4D9zRydMSH5jTEFqzIQQuUxcYhxzD81l8u7JPIl7AkD7su35utHXFPcobuboXs3R0ZGoqCj942xDbQ0l+kPRbhA6Fc7O0I3a3FINfN6Dil/qRniKbE1qzExBasyEELmEoiisO7MO//n+fLTtI57EPaFygcrs7LGT3zv/bvFJGYBKpcLJyQknJydUKpW5wzGejQtUnKwbIODznm7f1Z91858d+VAmqM3mJDEzBakxE0LkAkfvHKXB8ga0X92eS48uUcC5AItbL+bffv9m6QSx4hmnIvD2T9DkX/AK0L0XnZ0JG4rBqS8hMdrcEYp0kMTMFKTGTAiRg92JvEOfP/pQ5bsq7Ly6E3tre8bWGcuFIRfoVbkXVmorc4dolLi4OHr27EnPnj2Ji4szdzgZl7cqNNyuW4PTvSIkRMCJz2BDiWcrCCSYO0JhBEnMTEFqzIQQOdDThKdM2TOFknNLsvjYYhQUupXrxrnB55jcYDLOts7mDjFdEhMTWbZsGcuWLSMxMdHc4ZiGSgUFm0KzI/D2CnDyhdgw3QoCG/3g2irdkk/C4kliZgqyJJMQIgdRFIXfQn+j7LyyjN0+luiEaGoUqsH+3vv5pcMvvOEmHcwtlkoNPu/q1t+sMvf5CM59XSG4GtzZZu4IxWtIYmYKMsGsECKHOHH3BA2WN6DTmk5ce3KNwq6FWdF+Bfv77KdmkZrmDk+klZUtlB4MrS5B+Ylg7QyPjsCOxhDSEMIPmDtC8RKSmJmCvo+ZrPsmhMieHsQ8YNCmQVReVFnfj2xc3XGy0Hh2Z+MM5cdB68tQehiobeHudtj2NuxoLnOgWaA0zWN24sQJowv28/PD2jqXTJMmfcyEENlUojaRhf8tZNyOcTyK1a3D2MmvE9PemUZR96Jmjk6YjH0+qDIbyoyAU1/A5aVw5y/dVqg1VJgEeSqaO0pBGhOzSpUqoVKpUNK49INareb8+fMUK1YsQ8FlGzIqUwiRDW2/sp1hwcM4de8UABXyV2BO0zkE+ASYNzCReZyKQo0fwO9TXYJ29We4tUG3FekIFSaCm5+5o8zV0lyldfDgQfLly/fa4xRFoVy5chkKKtuRGjMhRDZy5dEVPtz6IevOrgPAw8GDyfUn069KP1lCKbdwKQE1l4HfaDg1UTdq88ZvcON33coC5ceDaylzR5krpek3sF69epQoUQJ3d/c0FVq3bl0cHBwyElf2oo3X/a+2NW8cQgjxCtHx0QTtDWL6/unEaeKwUlnxv6r/Y2L9iXg4eJg7vCzj6OjIvXv39I9zNbcyUGsl+I+BkxPgxlq49gtc/xV8A6Hc5+CcS1q/LESaErMdO3YYVejmzZvTFUy2pX02D47axrxxCCFEKhRF4ZeTv/DJ359wK/IWAA19GzK76WzKeeWyFg50SzKlpQUoV3EvD3V+h4dH4cQ4uL1R1w/tyk/g+z74jQHXkuaOMlcwaphNQkICxYsX58yZM5kVT/aUNKuySpoAhBCW5fDtw9ReUpv31r3Hrchb+Lr7srbzWra9vy1XJmXiNTwqQ8Cf0PggeDcFRaNL0DaVgX3d4UmouSPM8YxKzGxsbIiNjc2sWLIv5VliJjVmQggLcS/6Hn039KXa99XYf2M/jjaOfNngS0IHhdKubLvsuXi3icTFxTFo0CAGDRqUM5Zkygye1aH+X7oErWBL3aoB136BTeVgbxd4fNLcEeZYRk9MM2jQIKZOnZpzlrEwBX1TptSYCSHMK14Tz4z9Myg5tyQ/Hv0RBYXu5btzfvB5xtQZg721zLeYmJjI/PnzmT9/vryXvY5ndV0NWtPDULgdoMD11bC5Auxur2v6FCZldCbx77//EhISwtatWylfvjxOTk4Gr69du9ZkwWUbSTVmKqkxE0KYz9ZLWxn611DOPTgHQBXvKnzT7BveLvK2mSMT2Z7Hm1B3ra6m7NRkuL4Gbq7TbQVb6kZx5q1q7ihzBKMTM3d3dzp06JAZsWRPivb5wrDSlCmEMIOrj68ycstI/fQXXk5eBDUMomelnjJjvzAt9/JQexU8mQCnv4RrK3UDBbxqS2JmIkYnZkuWLMmMOLIv7QvV4NKUKYTIQrGJsXy972uC9gYRmxiLlcqKoTWGMr7eeNzs3cwdnsjJ3MrC2z9DufFwbhaUHGjuiHIMySQyKqkZE6QpUwiRJRRFYeP5jQzfMpzLjy4DEOATwLfNvsXfy9/M0YlcxbUkVJtv7ihyFKPruO/evcv7779PwYIFsba2xsrKymDLdQxqzCQxE0JkrosPL9JyZUta/9qay48uU8ilEL92+JXtgdslKRMiBzC6xqxnz55cv36dzz//HG9v71w95Bp4PocZyDxmQohMkzRr/7T904jXxGOjtuHDmh8ytu5YnG2dzR2eEMJEjM4k9u7dy549e6hUqVImhJMN6ZsyVaDOhTWGQohMpSgKv5/5nZFbRnIj4gYAjYs35pum31Das7SZo8ueHBwcuHLliv6xEJbE6KbMIkWKoChKZsSSPckcZkKITHIm/Azv/PQOndZ04kbEDYq6FWVdl3UEdw+WpCwD1Go1Pj4++Pj4oFbLqNWcZt68efj4+GBvb0+NGjU4dOhQms779ddfUalUtG3bNnMDfA2jfyJnz57Np59+ytWrVzMhnGxI5jATQphYZFwkH239iAoLKxByJQQ7KzvG1xtP6KBQ2pZpK11IhHiJVatWMXLkSMaPH8+RI0eoWLEiTZo00S9a/zJXr15l1KhR1KlTJ4sifbk0VfPkyZPH4A9BdHQ0xYsXx9HRERsbw4Tk4cOHpo3Q0mllOSYhhGkkLTb+0baPuBN1B4DWpVszq8ksiuUpZuboco74+HjGjh0LwJdffomtra2ZIxKmMnPmTPr160evXr0AWLhwIZs2bWLx4sV8+umnqZ6j0Wjo3r07EydOZM+ePTx+/DgLI04pTYnZ7NmzM+Xiu3fvZtq0aRw+fJg7d+6wbt06gyrEnj17smzZMoNzmjRpQnBwcKbEky7SlCmEMIETd08wePNg9lzfA0AJjxLMaTqH5iWbmzmynCchIYHp06cDMGHCBEnMcoj4+HgOHz7M6NGj9fvUajWNGjXiwIEDLz1v0qRJeHl50adPH/bs2ZMVob5SmrKJHj16sH37durVq2fSKTGio6OpWLEivXv3pn379qke07RpU4NJbe3s7NJ1rcTERBISEl5/oLESYrABFJUNiZlRvhAiR3sS94Qvd3/J90e+R6to8bD14KNaHzGk2hBsrW0z5+9WLpeYmKjv9J9p7w0iw5LWMY2MjCQiIkK/387OLtVc4P79+2g0GvLnz2+wP3/+/Jw9ezbVa+zdu5cff/yRY8eOmS7wDEpzNU/fvn15/PgxTZs2pU2bNjRr1gxXV9cMXbxZs2Y0a9bslcfY2dlRoECBDF0H4MCBAzg6Oma4nOTcNRepBzyNS2Tb5s0mL18IkfMFEEBA+YDnOx7B31v/Nls8ucHKlSsB2Llzp3kDES8VExMDgJ+fn8H+8ePHM2HChAyXHxkZyfvvv8/333+Pp6dnhsszlTQnZpcvX+bEiRNs2LCBGTNm0LNnT2rXrk3r1q1p06YNb7zxRqYEuHPnTry8vMiTJw8NGjRg8uTJ5M2b1+hyatasSaFChUwen+rBP7AdHBxdaN5cmhyEEK93NvwsI7eOZN+NfQCUyluKae9MI8AnwLyB5RIxMTF4e3sDcOfOnUz50C4y7tatWwCEhoYavH+/rOXM09MTKysr7t69a7D/7t27qVbwXLp0iatXr9KqVSv9Pq1Wt/a1tbU1586do3jx4hm+D2MZ1TGqQoUKVKhQgc8++4zbt2+zYcMGNmzYwMcff0zp0qVp3bo1rVu3pmpV0yxk2rRpU9q3b4+vry+XLl1izJgxNGvWjAMHDry0STUuLo64uDj988jISED3RU4+UMEk1LqpQ1Rqm8wpXwiRY0TFRzFp1yRm/TOLRG0ijjaOjKs7jhE1R2BrJf2csoq1tTVPnz7VP5a/3ZbJ2lqXori4uKSphc7W1pYqVaoQEhKi76+u1WoJCQlh8ODBKY4vU6YMJ0+eNNj32WefERkZyZw5cyhSpEjGbyId0t1jvWDBgnzwwQd88MEHREdH89dff7FhwwaaNm3KyJEjGTNmTIaD69q1q/5x+fLlqVChAsWLF2fnzp00bNgw1XOCgoKYOHFihq+dZtL5XwjxGoqisPbMWoZvGc7NiJsAtC3TltlNZlPUvaiZoxMi5xg5ciQ9evSgatWqVK9endmzZxMdHa0fpRkYGEihQoUICgrC3t6ecuXKGZzv7u4OkGJ/VjJJNuHk5ETHjh3p2LEjGo0m06bMKFasGJ6enly8ePGlidno0aMZOXKk/vmtW7dStE+blFbmMRNCvNzFhxcZ8tcQgi/qRpP7uPswt9lcWpZqaebIhMh5unTpQnh4OOPGjSMsLIxKlSoRHBysHxBw/fp1i59U2OjE7Jtvvkl1v0qlwt7enpIlS2baBG03b97kwYMH+r4BqUk+WuPFkRyZQpF5zIQQKcUmxjJ171SC9gYRp4nD1sqWT2p9wujao3GwkWWAzMnBwYFTp07pH4ucZfDgwak2XcLrB3ssXbrU9AEZyejEbNasWYSHhxMTE0OePHkAePToEY6Ojjg7O3Pv3j2KFSvGjh07Xts+GxUVxcWLF/XPr1y5wrFjx/Dw8MDDw4OJEyfSoUMHChQowKVLl/j4448pUaIETZo0MTbszJPUlCkLmAshngm+GMzgzYO59OgSAO8Ue4dvm39LqbylzByZAN3cVv7+/uYOQ4hUGV2fN2XKFKpVq8aFCxd48OABDx484Pz589SoUYM5c+Zw/fp1ChQowIgRI15b1n///UflypWpXLkyoGsbrly5MuPGjcPKyooTJ07QunVrSpUqRZ8+fahSpQp79uxJ91xmmUJqzIQQz9x4coOOqzvSbEUzLj26REGXgqzuuJot722RpEwIkSZGV/N89tln/P777wZDSEuUKMH06dPp0KEDly9f5uuvv6ZDhw6vLSsgIOCVC6Jv2bLF2PCynr7zvyRmQuRWCZoEZv8zm4m7JhKdEI2VyophNYYxIWACLnYu5g5PJBMfH8+UKVMAGDNmjMz8LyyK0YnZnTt39LPxvigxMZGwsDBAN2IzaZqKHE/f+V+aMoXIjXZf283ATQM5HX4agFpFajG/xXwq5K9g5sjEyyQkJOhH73/00UeSmAmLYnRTZv369RkwYABHjx7V7zt69Cj/+9//aNCgAQAnT57E19fXdFFaMmnKFCJXuht1lx7re1BvaT1Oh5/G09GTJW2WsLvXbknKhBDpZnRi9uOPP+Lh4UGVKlX0IyCrVq2Kh4cHP/74IwDOzs7MmDHD5MFaJJnHTIhcRaPVMP/f+ZSZV4blx5ejQsWAKgM4N/gcPSv1RK2y7KH4QgjLZnQ2UaBAAbZt28a5c+c4d+4cAKVLl6Z06dL6Y+rXr2+6CC2dzGMmRK5xLOwYAzYO4NCtQwC86f0mC1osoHqh6maOTAiRUxidmJ06dYpy5cqlSMYA1q9fr18GIddQpPO/EDldVHwU43eMZ87BOWgUDa52rnzZ4Ev+V/V/WKlTXx5OCCHSw+jErEmTJuzduzdFH7Lff/+dwMBAoqOjTRZctiCd/4XI0f44+wdD/hrCjYgbAHT278ysJrMo6FLQzJEJIXIioztD9O3bl0aNGulHYAKsWrWKwMBAi5gxN8tJ538hcqQbT27Q9te2tF3VlhsRN/Bx92Hzu5tZ1XGVJGVCiExjdDXPxIkTefjwIY0aNWL37t0EBwfTt29ffvrppzTNXZbjyDxmQuQoidpE5h6cy+c7Pic6IRprtTWjao7i83qf42jjaO7whAnY29tz6NAh/WMhLEm62t/mzp1L9+7deeutt7h16xYrV66kTZs2po4te5CmTCFyjEO3DjFg4wCOhR0DdHOSLWy5kHJe5cwbmDApKysrqlWrZu4whEhVmrKJDRs2pNjXvn179uzZQ7du3VCpVPpjWrdubdoILZ00ZQqR7T2JfcLY7WOZ/+98FBTy2Ofh63e+pnfl3jL9hRAiS6UpMXvVSMvFixezePFiAFQqFRqNxiSBZRsyj5kQ2ZaiKPwW+hvDgodxJ+oOAO9VeI8ZjWfg5eRl5uhEZomPj2fOnDkADBs2TGb+FxYlTdmEVqvN7DiyL5nHTIhs6cqjKwzaPIi/Lv4FQEmPkixosYCGxRqaOTKR2RISEvj4448BGDhwoCRmwqJINU9GyTxmQmQrCZoEZhyYwaRdk3ia+BRbK1tG1x7Np7U/xd5aOoILIcwrTZ0nvvnmG2JjY9Nc6MKFC2URcyGExdl3fR+VF1VmdMhoniY+pb5PfU58cIIJARMkKRNCWIQ0JWYjRowwKtH6+OOPCQ8PT3dQ2Yp0/hfC4j16+oj+f/an9pLa+gXHl7VdRkhgCKU9S7++ACGEyCJpquZRFIWGDRtibZ22WqGnT59mKKhsReYxE8JiKYrC6tOrGRo8lHvR9wDoU7kPUxtNJa9jXjNHJ4QQKaUp0xo/frxRhbZp0wYPD490BZTtSFOmEBbp+pPrDNw0kE0XNgFQ1rMsi1ouok7ROmaOTAghXi5TErNcRZoyhbAoGq2Gbw99y9jtY4lOiMbWypaxdcbySa1PsLO2M3d4QgjxSlLNk1Eyj5kQFuN42HH6/dmPf2//C0DtN2rzXcvvKJuvrJkjE5bE3t6eHTt26B8LYUkkm8gomcdMCLN7mvCUSbsmMW3/NDSKBjc7N75+52v6vtlXZu4XKVhZWREQEGDuMIRIlSRmGSXzmAlhViGXQxiwcQCXHl0CoKNfR75p+g3eLt5mjkwIIYwniVlGSed/IcziQcwDPtz6IcuOLwOgkEsh5reYT+vSuWy9XmG0hIQEvvvuOwD69++PjY18sBaWI93ZRHx8PFeuXKF48eJpnkYjR5LO/0JkKUVRWHlqJcODhxMeE44KFYOqDeLLhl/iaudq7vBENhAfH8/gwYMB6NmzpyRmwqIY3fkiJiaGPn364OjoiL+/P9evXwdgyJAhfPXVVyYP0OLJPGZCZJmrj6/S/JfmdF/bnfCYcPzz+bOv9z7mNp8rSZkQIkcwOjEbPXo0x48fZ+fOnQajWRo1asSqVatMGly2kNTHTGVl3jiEyMEStYnM2D8D//n+BF8Mxs7Kjsn1J3NkwBFqFqlp7vCEELnY5cuXTVqe0W2Q69evZ9WqVbz11luoVCr9fn9/fy5dumTS4LIFRaP7XxIzITLF0TtH6fdnPw7fOQxAvaL1+K7Vd5TKW8rMkQkhBJQoUYJ69erRp08fOnbsmOEpWIyuMQsPD8fLyyvF/ujoaINELdeQxEyITBGTEMNHWz+i2vfVOHznMO727vzQ6gd29NghSZkQwmIcOXKEChUqMHLkSAoUKMCAAQM4dOhQusszOjGrWrUqmzZt0j9PSsZ++OEHatbMhU0KkpgJYXLbr2yn/ILyTD8wHY2ioYt/F84MOkOfN/vkzg+AQgiLValSJebMmcPt27dZvHgxd+7coXbt2pQrV46ZM2cSHh5uVHlGN2VOmTKFZs2aERoaSmJiInPmzCE0NJT9+/eza9cuY4vL/iQxE8JkHsc+5qOtH/HD0R8AKOJahAUtFtCiVAszRyaEEK9mbW1N+/btadGiBfPnz2f06NGMGjWKMWPG0LlzZ6ZOnYq39+vnVzS6xqx27docO3aMxMREypcvz9atW/Hy8uLAgQNUqVIlXTeTrcmSTEKYxB9n/8Bvnp8+KRtUbRCnB56WpEyYnJ2dHRs3bmTjxo3Y2cn6qcI0/vvvPwYOHIi3tzczZ85k1KhRXLp0iW3btnH79m3atGmTpnLSlU0UL16c77//Pj2n5jxSYyZEhtyNusvQ4KGsPr0agFJ5S/FDqx+oU7SOmSMTOZW1tTUtWkjCL0xj5syZLFmyhHPnztG8eXOWL19O8+bNUat1dV++vr4sXboUHx+fNJVndGJmZWXFnTt3UgwAePDgAV5eXmg0GmOLzN4kMRMiXRRF4ecTPzN8y3AePn2IlcqKj2t9zLh647C3loWlhRDZw4IFC+jduzc9e/Z8aVOll5cXP/74Y5rKMzoxUxQl1f1xcXHY2toaW1z2J4mZEEa79vgaH2z6gOCLwQBUKlCJxa0XU9m7spkjE7lBQkICK1asAKB79+4y87/IkAsXLrz2GFtbW3r06JGm8tKcmH3zzTeAbhTmDz/8gLOzs/41jUbD7t27KVOmTFqLyzkkMRMizbSKlgX/LuDTkE+Jio/CzsqOCQET+LDmh9hYyZujyBrx8fH06tULgE6dOkliJjJkyZIlODs706lTJ4P9a9asISYmJs0JWZI0J2azZs0CdDVmCxcuxMrqeSJia2uLj48PCxcuNOriOYIkZkKkybn75+j7Z1/2Xt8LQO03avNDqx8o7VnazJEJIUT6BQUFsWjRohT7vby86N+/f+YlZleuXAGgfv36rF27ljx58hh1oRxLEjMhXilBk8D0/dOZuGsicZo4nG2dmdpoKh9U/QC1yuiB4UIIYVGuX7+Or69viv1FixbVryduDKP7mO3YscPoi+RokpgJ8VJH7xyl94beHAs7BkDTEk1Z2GIhRd2LmjcwIYQwES8vL06cOJFi1OXx48fJmzev0eWla7qMmzdvsmHDBq5fv058fLzBazNnzkxPkdmXJGZCpPA04SmTdk1i2v5paBQNHg4ezG4ym/cqvCcz9wshcpRu3boxdOhQXFxcqFu3LgC7du1i2LBhdO3a1ejyjE7MQkJCaN26NcWKFePs2bOUK1eOq1evoigKb775ptEBZHuSmAlhYM+1PfT9sy/nH5wHoLN/Z75p+g35nfObOTIhhDC9L774gqtXr9KwYUOsrXVplVarJTAwkClTphhdntGJWdISAxMnTsTFxYXff/8dLy8vunfvTtOmTY0OINuTxEwIACLjIvn070+Z/998ALydvZnfYj5ty7Q1b2BCCJGJbG1tWbVqFV988QXHjx/HwcGB8uXLU7Ro+rpsGJ2YnTlzhpUrV+pOtrbm6dOnODs7M2nSJNq0acP//ve/dAWSbUliJgR/X/6bvhv6cu3JNQD6Vu7LtMbTcLd3N29gQqTCzs6O1atX6x8LYQqlSpWiVKlSGS7H6MTMyclJ36/M29ubS5cu4e/vD8D9+/czHFC2oiigaHWPJTETuVBEXASjto7i+yO6Jdp83H34odUPNCzW0MyRCfFy1tbWKeacEiK9NBoNS5cuJSQkhHv37qHVag1e3759u1HlGZ2YvfXWW+zdu5eyZcvSvHlzPvzwQ06ePMnatWt56623jC0ue1Ne+OJLYiZymS0Xt9Dvz37ciLgB6BYd/6rRVzjbOr/mTCGEyDmGDRvG0qVLadGiBeXKlcvwACejE7OZM2cSFRUFwMSJE4mKimLVqlWULFky947IBFBLYiZyh8exj/lwy4csPrYYgGJ5ivFj6x8J8Akwb2BCpFFiYiLr1q0DoF27dvoO2yJnmDdvHtOmTSMsLIyKFSsyd+5cqlevnuqxa9euZcqUKVy8eJGEhARKlizJhx9+yPvvv5/m6/3666+sXr2a5s2bmyR+o38aixUrpn/s5OSUO2f7T/JiYiY1ZiIX2HR+EwM2DuBW5C1UqBhaYyhfNvgSJ1snc4cmRJrFxcXRuXNnAKKioiQxy0FWrVrFyJEjWbhwITVq1GD27Nk0adKEc+fO4eXlleJ4Dw8Pxo4dS5kyZbC1tWXjxo306tULLy8vmjRpkqZr2traUqJECZPdg8mm3V67di0VKlQwVXHZgyRmIpd49PQRPdf3pOXKltyKvEVJj5Ls7rWb2U1nS1ImhLAYM2fOpF+/fvTq1Qs/Pz8WLlyIo6MjixcvTvX4gIAA2rVrR9myZSlevDjDhg2jQoUK7N27N83X/PDDD5kzZw6KopjkHoz6mLBo0SK2bduGra0tw4YNo0aNGmzfvp0PP/yQ8+fPExgYaJKgMkNiYiIJCQmmLTQhlqSlbxMStaCYuHwhLMDmC5sZETyCsOgwHNWODKo2iM/qfoaDjYPpf6eEyAKJiYk4ODjoH8vPsWVKTEwEIDIykoiICP1+Ozu7VEfTxsfHc/jwYUaPHq3fp1aradSoEQcOHHjt9RRFYfv27Zw7d46pU6emOc69e/eyY8cO/vrrL/z9/bGxsTF4fe3atWkuC4xIzL766ivGjRtHhQoVOHv2LH/88Qdjx45l7ty5DBs2jAEDBlj0+pkHDhzA0dHRpGXaKJEktSj/FbwVRSXV4SJnmlV81vMncbBjmyzNJrK3pGmfdu7cad5AxEvFxMQA4OfnZ7B//PjxTJgwIcXx9+/fR6PRkD+/4WTW+fPn5+zZsy+9zpMnTyhUqBBxcXFYWVkxf/583nnnnTTH6e7uTrt27dJ8/OukOZNYsmQJ33//PT169GDPnj3Uq1eP/fv3c/HiRZycLL8po2bNmhQqVMi0hcaFwwbdw2bNW4IsyCxyiI3nNjJi6wjuRd9DrVIztPpQRtcejb2NvblDEyLDYmJi8Pb2BuDOnTsm/9AuTOPWrVsAhIaGGrx/m3ruORcXF44dO0ZUVBQhISGMHDmSYsWKERAQkKbzlyxZYtJ40pyYXb9+nQYNGgBQp04dbGxsmDhxYrZIykA3b03y6sUMS3yeiNnYyiSFIvsLjw5nyF9DWHV6FQBlPcuypM0SahSuYebIhDCdpMnRkx6b/L1BmETSoAwXFxdcXV1fe7ynpydWVlbcvXvXYP/du3cpUKDAS89Tq9X6zvuVKlXizJkzBAUFpTkxA12z686dO7l06RLvvvsuLi4u3L59G1dXV5ydjZtCKM1VPHFxcdjbP/+0bGtri4eHh1EXy3Fk1n+Rg/wW+hv+8/1ZdXoVViorRtcezZEBRyQpE0JkC7a2tlSpUoWQkBD9Pq1WS0hICDVr1kxzOVqtlri4uDQff+3aNcqXL0+bNm0YNGgQ4eHhAEydOpVRo0al/QaeMapT1Oeff66v8o2Pj2fy5Mm4ubkZHJOr5jKTxEzkAPei7zFo8yB+C/0NgHJe5VjSZglVC1Y1c2RCZA5bW1t985Otra2ZoxGmNHLkSHr06EHVqlWpXr06s2fPJjo6ml69egEQGBhIoUKFCAoKAiAoKIiqVatSvHhx4uLi2Lx5Mz/99BMLFixI8zWHDRtG1apVOX78OHnz5tXvb9euHf369TP6HtKcmNWtW5dz587pn7/99ttcvnzZ4JiMznab7UhiJrK5VadWMWjzIB48fYCVyooxdcYwts5Y7KylaV7kXDY2NvTs2dPcYYhM0KVLF8LDwxk3bhxhYWFUqlSJ4OBg/YCA69evo1Y/byyMjo5m4MCB3Lx5EwcHB8qUKcPPP/9Mly5d0nzNPXv2sH///hRJvo+Pj76fnDHSnJjJyJVUSGImsqn7MfcZuGkga0LXAFAxf0WWtFlCZe/KZo5MCCEyZvDgwQwePDjV15LnMpMnT2by5MkZup5Wq0Wj0aTYf/PmTVxcXIwuL0PDCPft22dUO2yOo0/MZJoMkX2sP7se//n+rAldg7XamnF1x3Go3yFJykSukZiYyKZNm9i0aZN+riwh0qtx48bMnj1b/1ylUhEVFcX48ePTtUxThjKKZs2acezYMYNlmnKVpMRM1skU2cCjp48YGjyUn0/8DIB/Pn+WtV1GlYJVzByZEFkrLi6Oli1bArIkk8i4GTNm0KRJE/z8/IiNjeXdd9/lwoULeHp66ufLM0aGfhpNtfxAtiVNmSKb+OvCX/T9sy+3I2+jVqn56O2PmBgwUfqSCSFEBhUuXJjjx4/z66+/cuLECaKioujTpw/du3fXrzBhDPmYkBGSmAkLFxEXwcgtI/nx6I8AlMpbimVtl/FW4bfMHJkQQuQc1tbWvPfee6YpKyMnL1q0KMXSB7mKJGbCgoVcDqH3ht5cf3IdFSqGvzWcyQ0m42gjs5wLIURGbNiwgWbNmmFjY8OGDRteeWzr1q2NKtvoxGz79u28/fbb2Nvb8+677xp7es6ilcRMWJ6o+Cg+2fYJ8/+bD4Cvuy9L2y6lbtG6Zo5MCCFyhrZt2xIWFoaXlxdt27Z96XEqlSrVEZuvYnRi1rp1axITE6lWrRoBAQHUq1ePWrVqpasdNduTGjNhYfZc20PPP3py+ZFujsH/Vf0fX7/zNc62xi0JIoQQ4uW0Wm2qj03B6OkyHj16REhICM2aNePQoUO0a9cOd3d3atWqxWeffWbS4CyeJGbCQjxNeMrILSOpt7Qelx9dpohrEba9v435LeZLUiaEECbm4eHB/fv3AejduzeRkZEmK1ulZHBo5enTp5k2bRorVqx46SRr5nTz5k2KFCnCjRs3KFy4sGkLv7sLQgLAtQy0PGPasoVIo4M3D9JjfQ/OPdCtzNG7Um9mNpmJm73ba84UIndKSEjgu+++A6B///6yiLmFytT37wxydnbmxIkTFCtWDCsrK8LCwsiXL59Jyja6KfP8+fPs3LmTnTt3smvXLuLi4qhTpw7Tp083aiX2HEFqzIQZxSXGMWHnBL7e/zVaRYu3szfft/qeFqVamDs0ISyajY0NgwYNMncYIhurWbMmbdu2pUqVKiiKwtChQ1/apWvx4sVGlW10U2aZMmX4/PPPKVeuHH/99Rfh4eGsW7eOYcOGUbFiRaPK2r17N61ataJgwYKoVCrWr19v8LqiKIwbNw5vb28cHBxo1KgRFy5cMDbkzCOJmTCTI3eOUPX7qny17yu0ipbu5btzauApScqEECIL/PzzzzRv3pyoqCgAnjx5wqNHj1LdjGV0jdnQoUPZvXs3kyZNYuPGjQQEBBAQEEDt2rVxdDRuGH50dDQVK1akd+/etG/fPsXrX3/9Nd988w3Lli3D19eXzz//nCZNmhAaGoq9vb2xoZueJGYiiyVoEvhyz5d8uedLErWJ5HPMx6KWi2hXtp25QxMi29BoNOzZsweAOnXqYGUlf8OFcfLnz89XX30FgK+vLz/99BN58+Y1SdlGJ2ZJ60E9fvyYPXv2sGvXLsaOHcvp06epXLky+/btS3NZzZo1o1mzZqm+pigKs2fP5rPPPqNNmzYALF++nPz587N+/Xq6du1qbOimJ4mZyEKh4aG8v+59jtw5AkBHv47Mbz6ffE6m6dcgRG4RGxtL/fr1Ad2STE5OTmaOSGQ3Hh4enD9/Hk9PT+rXr4+tra3Jyk73IuYajYaEhATi4uKIjY0lLi6Oc+fOmSywK1euEBYWRqNGjfT73NzcqFGjBgcOHHjpeXFxcUREROg3U46USEF5tvitJGYiE2kVLbMOzOLNRW9y5M4R8tjn4Zf2v7C642pJyoQQwgzi4+OJiIgAYNmyZcTGxpqs7HQ1Ze7cuZPQ0FDy5MlD3bp16devHwEBAZQvX95kgYWFhQGkWFkgf/78+tdSExQUxMSJE00WxytJjZnIZNefXKfn+p7suLoDgKYlmvJj6x8p6FLQzJEJIUTulZmd/41OzO7cuUP//v0JCAigXLlyxp6e6UaPHs3IkSP1z2/duoWfn1/mXEwSM5FJFEVh+fHlDA0eSkRcBI42jsxoPIMBVQagUqnMHZ4QQuRqP//8M7NmzeLSpUuoVCqePHlislozoxOzNWvWmOTCr1OgQAEA7t69i7e3t37/3bt3qVSp0kvPs7Ozw87OTv88qaoxU8iSTCIThEeHM2DjANadXQfAW4XfYnnb5ZTMW9LMkQkhhIDM7fyfrj5mly5dYsiQITRq1IhGjRoxdOhQLl26ZJKAkvj6+lKgQAFCQkL0+yIiIjh48CA1a9Y06bXSTWrMhIltOLeBcgvKse7sOmzUNkxpMIU9vfZIUiaEEBamefPmPHnyhCtXrpA3b16++uorHj9+rH/9wYMH6WqxMzox27JlC35+fhw6dIgKFSpQoUIFDh48iL+/P9u2bTOqrKioKI4dO8axY8cAXYf/Y8eOcf36dVQqFcOHD2fy5Mls2LCBkydPEhgYSMGCBV+5YGiWksRMmEhEXAR9/uhDm1/bcC/6Hv75/DnU7xCj64zGWm10xbYQQohMFhwcTFxcnP75lClTePjwof55YmJiugZFGv0X/9NPP2XEiBH6KrwX93/yySe88847aS7rv//+0w9ZBvR9w3r06MHSpUv5+OOPiY6Opn///jx+/JjatWsTHBxsGXOYgSRmwiR2X9tNj/U9uPr4KipUfFjzQ75o8AX21hbycy5EDmNjY8PXX3+tfyyEKWRwhUs9oxOzM2fOsHr16hT7e/furZ/jLK0CAgJeeSMqlYpJkyYxadIkY8PMGpKYiQyITYzl8+2fM+PADBQUiroVZVnbZdTzqWfu0ITI0Wxtbfnoo4/MHYYQqTI6McuXLx/Hjh2jZEnDPi/Hjh3Dy8vLZIFlC0mJmVoSM2GcY2HHeH/d+5y6dwrQLTw+q+ksXO1czRyZEEKItFCpVClGyZti1LzRiVm/fv3o378/ly9f5u233wZg3759TJ061WCailxBasyEkRK1iUzbN43xO8eToE0gn2M+vm/1PW3KtDF3aELkGhqNhiNHdCtovPnmm7Ikk0gXRVHo2bOnfiaI2NhYPvjgA/1KEi/2PzOG0YnZ559/jouLCzNmzGD06NEAFCxYkAkTJjB06NB0BZFtSWImjHDx4UUC1wVy4KZu5Yq2ZdqyqOUivJxyWU2zEGYWGxtL9erVAVmSSaRfjx49DJ6/9957KY4JDAw0ulyjEzOVSsWIESMYMWKEfrkjFxcXoy+cI0hiJtJAURQWHV7Eh1s/JCYhBhdbF+Y2m0tgxUCZLFYIIbKpJUuWZEq5GRqHn2sTsiT6xEymMxCpuxN5hz4b+vDXxb8ACPAJYGmbpRR1L2rmyIQQQliiNGUUlStXTvMn+6R2+1xBaszEK6w7s45+f/bjwdMH2FnZEdQwiGFvDUOtSte8zkIIIXKBNCVmFjOhq6WRxEykIio+iuHBw/nx6I8AVCpQiZ/b/Yy/l7+ZIxNCCGHp0pSYjR8/PrPjyJ4kMRPJ/HPzH95b+x6XHl1ChYqPa33MpPqTsLWyNXdoQgghsoE0t6ksXrw43UM/cyxJzMQzidpEJuycQO3Ftbn06BJFXIuwo8cOvmr0lSRlQggh0izNvdb79etHy5Yt9ZPIFixYkP379+Pj45NZsVk+ScwEumkw3lv7HgdvHQTg3fLvMq/5PNzt3c0bmBAiVTY2NvqWIFmSSViaNCdmyZdOioyMRKvVmjygbEUSs1xNURR+PPojw4OHE50QjZudG/NbzOfd8u+aOzQhxCvY2toyYcIEc4chRKpknoeMkMQs17ofc59+f/Zj/dn1ANQrWo/l7Zbzhtsb5g1MCCFEtpbmxCz5mlCprRGV68hamblS8MVgev3Ri7CoMGzUNnzZ4EtG1hyJlfwcCJEtaLVazpw5A0DZsmVRq2UKG2E5jGrKLFWqlD4Zi4qKonLlyil+oB8+fGjaCC2ZVmrMcpOnCU/5eNvHfPvvtwCU9SzLLx1+oVKBSuYNTAhhlKdPn1KuXDlAlmQSlifNiVlmLT2QrUlTZq5x9M5Ruq/tzpn7uk/ZQ6oPYWqjqTjYOJg5MiGEEDlJmhOz5It1CiQxywU0Wg0zDszgs+2fkaBNoIBzAZa0WULTEk3NHZoQQogcSDr/Z4QkZjna9SfXCVwXyK5ruwBoW6Yt37f6Hk9HTzNHJoQQIqeSxCwjJDHLsX45+QsDNw3kSdwTnGyc+KbZN/Sq1EsGvAghhMhUkphlhCRmOc7j2McM3DSQladWAvBW4bf4ud3PFPcobubIhBBC5AaSmGWEJGY5yt7re3lv7Xtce3INK5UVn9f9nLF1x2Ktll8TIYQQWSPD7zgajYaTJ09StGhR8uTJY4qYsg9JzHKERG0ik3dP5ovdX6BVtBTLU4wV7VfwVuG3zB2aECIT2NjYMGrUKP1jISyJ0YnZ8OHDKV++PH369EGj0VCvXj3279+Po6MjGzduJCAgIBPCtFCSmGV7Vx5d4b1177H/xn4A3q/wPt82/xZXO1czRyaEyCy2trZMmzbN3GEIkSqjpzv+7bffqFixIgB//vknV65c4ezZs4wYMYKxY8eaPECLJolZtrby5EoqLarE/hv7cbVzZUX7FSxvt1ySMiGEEGZjdGJ2//59ChQoAMDmzZvp1KkTpUqVonfv3pw8edLkAVo0Scyypci4SHqs78G7a98lIi6Ct4u8zbEBx2TxcSFyCa1Wy9WrV7l69Spardbc4QhhwOjELH/+/ISGhqLRaAgODuadd94BICYmBiurXJagSGKW7Ry8eZBKiyqx/Phy1Co14+uNZ1fPXfjm8TV3aEKILPL06VN8fX3x9fXl6dOn5g5HmNi8efPw8fHB3t6eGjVqcOjQoZce+/3331OnTh3y5MlDnjx5aNSo0SuPzwpGJ2a9evWic+fOlCtXDpVKRaNGjQA4ePAgZcqUMXmAFk0Ss2xDo9Xw5e4vqbW4FpcfXaaoW1F29dzFhIAJMupSCCFyiFWrVjFy5EjGjx/PkSNHqFixIk2aNOHevXupHr9z5066devGjh07OHDgAEWKFKFx48bcunUriyN/zuh3pAkTJlCuXDlu3LhBp06dsLOzA8DKyopPP/3U5AFaNOVZFbgkZhbtxpMbvLfuPXZf2w1AF/8uLGy5EHd7d/MGJoQQwqRmzpxJv3796NWrFwALFy5k06ZNLF68ONUcZcWKFQbPf/jhB37//XdCQkIIDAzMkpiTS1dVQceOHQ2eP378OHeupalPzIyueBRZ5LfQ3+j3Zz8exz7GycaJec3nEVgxUGbwF0KIHCY+Pp7Dhw8zevRo/T61Wk2jRo04cOBAmsqIiYkhISEBDw+PzArztYxOzKZOnYqPjw9dunQBoHPnzvz+++94e3uzefNmKlSoYPIgTSExMZGEhASTlmml1aAGErVaFBOXLTImJj6GT/7+hOUnlgNQq1Atfmz9I8XyFCMxMdHM0QkhzCkxMREHBwf9Y1O/NwjTSPpbHRkZSUREhH6/nZ2dvrXuRffv30ej0ZA/f36D/fnz5+fs2bNpuuYnn3xCwYIF9d20zMHoxGzhwoX6qr9t27axbds2/vrrL1avXs2oUaPYunWryYM0hQMHDuDo6GjSMms+vYsXcPz4SW6e3mzSskXGNaMZzSo00z8/e+AsZ0nbL6cQImdbuVK37NrOnTvNG4h4qZiYGAD8/PwM9o8fP54JEyaY/HpfffUVv/76Kzt37sTe3t7k5aeV0YlZWFgYRYoUAWDjxo107tyZxo0b4+PjQ40aNUweoKnUrFmTQoUKmbRMq13fwD2oWKkyFd5obtKyhfG0ipZvD37LpN2TSNAmUNC5IN+3/p7ab9Q2d2hCCAsSExODt7c3AHfu3DH5h3ZhGkkd8ENDQw3ev1OrLQPw9PTEysqKu3fvGuy/e/eufpqvl5k+fTpfffUVf//9t9lb/oxOzPLkycONGzcoUqQIwcHBTJ48GQBFUdBoNCYP0FSsra1Nv/SGSnlWti3Ish5mdTvyNoHrAgm5EgJA+7Lt+b7V93g4mK+fgBDCMtnb2+s7h9vb28uyTBbK2lqXori4uODq+vqJv21tbalSpQohISG0bdsW0M1ZFxISwuDBg1963tdff82XX37Jli1bqFq1qklizwijE7P27dvz7rvvUrJkSR48eECzZrqmoqNHj1KiRAmTB2jRpPO/RdhwbgO9/+jNg6cPcLRxZE7TOfSp3Ec6+AshUmVnZ8e8efPMHYbIBCNHjqRHjx5UrVqV6tWrM3v2bKKjo/WJeGBgIIUKFSIoKAjQ9ZsfN24cv/zyCz4+PoSFhQHg7OyMs7OzWe7B6MRs1qxZ+Pj4cOPGDb7++mt94Hfu3GHgwIEmD9CiJSVmxk8HJ0wgNjGWUVtHMe9f3R/YygUq80uHXyjjmcvm0xNCCAFAly5dCA8PZ9y4cYSFhVGpUiWCg4P1AwKuX7+OWv38PXvBggXEx8enmG0is/qxpYVKURTFLFfOIjdv3qRIkSLcuHGDwoULm7bwbbUhfB/UWQtF2pm2bPFKZ8LP0PX3rpy4ewKAkW+NZErDKdhZp973QAghkiiKwv379wFdvySpXbdMmfr+bcHSPeV5aGgo169fJz4+3mB/69atMxxUtiFNmVlOURSWHFvCkL+GEJMQQz7HfCxru4xmJZu9/mQhhEDX+d/LywuAqKgonJyczByREM8ZnZhdvnyZdu3acfLkSVQqFUkVbkmfOCx5AIDJSVNmlnoS+4QPNn3Ar6d+BaChb0N+avcT3i7eZo5MCCGEMA2jM4phw4bh6+vLvXv3cHR05PTp0+zevZuqVavmvvlgpMYsyxy6dYjKiyrz66lfsVJZEdQwiK3vb5WkTAghRI5idI3ZgQMH2L59O56enqjVatRqNbVr1yYoKIihQ4dy9OjRzIjTQiXVmEn/hMyiVbTM2D+DMdvHkKhNxMfdh5UdVvJW4bfMHZoQQghhckYnZhqNBhcXF0DXafL27duULl2aokWLcu7cOZMHaNGkxixT3Y26S4/1PdhyaQsAnfw68V2r72TxcSGEEDmW0YlZuXLlOH78OL6+vtSoUYOvv/4aW1tbvvvuO4oVK5YZMVouScwyzdZLWwlcF8jd6Ls4WDswp+kc+r7ZV0ZPCSGEyNGMTsw+++wzoqOjAZg0aRItW7akTp065M2bl1WrVpk8QMv2bKYRScxMJkGTwGfbP+Pr/V8DUM6rHKs6rsIvn99rzhRCCCGyP6MTsyZNmugflyhRgrNnz/Lw4UPy5MmT+2ozZFSmSV1+dJluv3fj0K1DAHxQ5QNmNpmJg42DmSMTQuQk1tbW9OjRQ/9YCEtikp9ID4/cuh6hNGWayqpTq+i/sT8RcRG427vzQ6sf6ODXwdxhCSFyIDs7O5YuXWruMIRIVZoTs969e6fpuMWLF6c7mGxH+phlWHR8NMOCh/Hj0R8BeLvI2/zS/heKuhc1c2RCCCFE1ktzYrZ06VKKFi1K5cqVyeGrOKWdNGVmyIm7J+jyWxfO3j+LChVj6oxhQsAErNXStCCEyDyKohATEwOAo6Nj7uuGIyxamt8B//e//7Fy5UquXLlCr169eO+993JxE+YzUmOWLoqisOC/BYzcMpI4TRzezt783P5nGvg2MHdoQohcICYmBmdnZ0CWZBKWJ80Zxbx587hz5w4ff/wxf/75J0WKFKFz585s2bIlF9egSWJmrEdPH9FhdQcGbR5EnCaOFiVbcPyD45KUCSGEEBjZBmdnZ0e3bt3Ytm0boaGh+Pv7M3DgQHx8fIiKisqsGC2XNGUa5eDNg1ReVJl1Z9dho7ZhVpNZ/NntT/I55TN3aEIIIYRFSHdnHrVarV/EPFctXP4iacpME0VRmHlgJp+GfEqiNpFieYqxuuNqqhSsYu7QhBBCCItiVEYRFxfHypUreeeddyhVqhQnT57k22+/5fr16/r2+txFErPXeRDzgNa/tmbUtlEkahPp7N+ZI/2PSFImhBBCpCLNNWYDBw7k119/pUiRIvTu3ZuVK1fi6emZmbFZPqkxe6V91/fR9feu3Iy4iZ2VHbObzmZAlQEyAkoIIYR4iTQnZgsXLuSNN96gWLFi7Nq1i127dqV63Nq1a00WnMWTPmap0ipavt73NZ9t/wyNoqGkR0lWd1pNpQKVzB2aEEIIYdHSnJgFBgZKTUcKUmOWXHh0OIHrAwm+GAzAu+XfZWGLhbjYuZg5MiGE0LGysqJjx476x0JYEqMmmBXJSFOmgV1Xd/Hu2ne5HXkbe2t7vm32Lb0r95aEXghhUezt7VmzZo25wxAiVTLFekZIUyYAGq2GKXumMGHXBLSKlrKeZVndaTXlvMqZOzQhhBAiW5HELCOkxoy7UXfpvrY7IVdCAOhRsQfzms/DyVZm0hZCCCGMJYlZhuTuxCzkcgjd13bnbvRdHG0cmd98Pj0q9TB3WEII8UrR0dGyJJOwWJKYZUQurTHTaDVM2jWJL3Z/gYJCOa9yrO64mrL5ypo7NCGEECJbk8QsI3JhH7PbkbfpvrY7O6/uBKBv5b7MaTYHRxtH8wYmhBBC5ACSmGVI7qox23JxC++ve5/wmHCcbZ1Z1HIR75Z/19xhCSGEEDmGJGYZkUuaMhO1iYzbMY6gvUEAVMxfkdWdVlMqbykzRyaEEELkLJKYZUQuaMq8FXGLrr93Ze/1vQAMrDqQGU1mYG9tb+bIhBBCiJzHojOKCRMmoFKpDLYyZcqYO6wX5Owas22XtlF5UWX2Xt+Lq50rqzuuZl6LeZKUCSGEEJnE4mvM/P39+fvvv/XPra0tKOQc2pSp0Wr4YvcXTNo1CQWFSgUqsabTGkp4lDB3aEIIkWFWVlY0b95c/1gIS2JBWU7qrK2tKVCggLnDSElRXniScxKze9H36L62O39f1iXD/d/sz+yms3GwcTBzZEIIYRr29vZs2rTJ3GEIkSqLT8wuXLhAwYIFsbe3p2bNmgQFBfHGG2+89Pi4uDji4uL0zyMjIzMnMH3/MnJMjdmea3vo8lsX7kTdwdHGkUUtF/FehffMHZYQQgiRa1h0RlGjRg2WLl1KcHAwCxYs4MqVK9SpU+eVyVZQUBBubm76zc/PL5OiyzmJmVbR8vW+r6m/rD53ou5Q1rMs//b7V5IyIYQQIoupFMWgTc6iPX78mKJFizJz5kz69OmT6jHJa8xu3bqFn58fN27coHDhwqYLRhMHq551gu/0BGxcTVd2Fnr49CE91vdg4/mNALxX4T0Wtlgoa10KIXKs6OhovLy8ALh3754syWShbt68SZEiRUz//m3hLL4p80Xu7u6UKlWKixcvvvQYOzs77Ozs9M8jIiIyJ5gXmzItu+LxpQ7dOkTnNZ259uQadlZ2zG02l75v9kWlUpk7NCGEyFQxMTHmDkGIVGWrjCIqKopLly7h7e1t7lDIzk2ZiqIw9+Bcai+uzbUn1yiepzj/9P2HflX6SVImhBBCmJFF15iNGjWKVq1aUbRoUW7fvs348eOxsrKiW7du5g4t23b+j4iLoO+GvqwJXQNAh7Id+LH1j7jZu5k5MiGEEEJYdGJ28+ZNunXrxoMHD8iXLx+1a9fmn3/+IV++fOYOLVs2ZR4PO06nNZ248PAC1mprpr8znaE1hkotmRBCCGEhLDox+/XXX80dwitknxozRVFYfHQxg/8aTGxiLEVci7C602reKvyWuUMTQgghxAssOjGzaNmkKTM6PpqBmwey/PhyAJqXbM7ytsvJ65jXzJEJIYQQIjlJzNLLoCnTMpsCz4SfodOaTpwOP41apWZy/cl8UvsT1BacSAohRGZTq9XUq1dP/1gISyKJWXrpEzMVWGAfrV9O/kL/P/sTnRBNAecC/NrhV+r51DN3WEIIYXYODg7s3LnT3GEIkSpJzNLNMhcwj0uMY8SWESz4bwEADXwb8Ev7X8jvnN/MkQkhhBDidSQxSy/F8hKza4+v0WlNJ/69/S8qVIytM5YJAROwUluZOzQhhBBCpIEkZumlb8q0jMRsy8UtvLv2XR4+fYiHgwc/t/uZZiWbmTssIYSwONHR0fj4+ABw9epVWZJJWBRJzNLNMmrMtIqWL3Z9wcRdE1FQqOJdhd86/4aPu49Z4xJCCEt2//59c4cgRKoso7onO7KApswHMQ9o8UsLJuyagILCgCoD2Nt7ryRlQgghcq158+bh4+ODvb09NWrU4NChQy899vTp03To0AEfHx9UKhWzZ8/OukBfQhKz9DJzU+a/t/7lze/eJPhiMPbW9ixts5SFLRdib21vlniEEEIIc1u1ahUjR45k/PjxHDlyhIoVK9KkSRPu3buX6vExMTEUK1aMr776igIFCmRxtKmTxCy9zFRjpigKi/5bRO0ltbn+5LpuAfI+/9CjUo8sjUMIIYSwNDNnzqRfv3706tULPz8/Fi5ciKOjI4sXL071+GrVqjFt2jS6du2KnZ1dFkebulzTxywxMZGEhAQTFhiHDaCgJtGU5b7C04SnjNg6gpUnV2KFFR1Ld2RBywW42bmZ9t6EECIHS0xMxMHBQf9Y/n5apsTERAAiIyOJiIjQ77ezs0s1iYqPj+fw4cOMHj1av0+tVtOoUSMOHDiQ+QGbSK5JzA4cOICjo6PJynPW3qAhEJ+QSPDmzSYr93Vaq1rTukJr/fN9Ifuy7NpCCJFTrFy5EkAmmrVgMTExAPj5+RnsHz9+PBMmTEhx/P3799FoNOTPbzhvZ/78+Tl79mymxWlquSYxq1mzJoUKFTJdgU9Ow1awtbOnefPmpis3FZvOb2LApgFExkXi5eTFkjZLqP1G7Uy9phBC5FSxsbE0bdoUgODgYOztpW+uJbp16xYAoaGhBu/fltLkmFlyTWJmbW2NjY2NCQvUTdqqUqlNW+4LErWJjA0Zy9f7vwag9hu1WdVxFQVdCmbK9YQQIjewsbFh3z5pbbB01ta6FMXFxQVXV9fXHu/p6YmVlRV379412H/37l2L6difFtL5P70yufN/WFQY7/z0jj4pG/nWSLYHbpekTAghhEiFra0tVapUISQkRL9Pq9USEhJCzZo1zRiZcXJNjZnJZeJ0GXuv76Xzms7cibqDs60zS9osoaNfR5NfRwghhMhJRo4cSY8ePahatSrVq1dn9uzZREdH06tXLwACAwMpVKgQQUFBgG7AQGhoqP7xrVu3OHbsGM7OzpQoUcIs9yCJWbqZvsZMURRm/zObj7Z9hEbR4JfPj7Wd11Las7TJriGEELldTEyMvkN5aGioSQeGCfPq0qUL4eHhjBs3jrCwMCpVqkRwcLB+QMD169dRq5+/b9++fZvKlSvrn0+fPp3p06dTr149sw0MkcQsvfQ1ZiqTFBcVH0XvP3qzJnQNAN3KdeO7Vt/hbOtskvKFEELoKIrCtWvX9I9FzjJ48GAGDx6c6mvJky0fHx+L+xmQxCy9TNjH7MKDC7Rd1ZbQ8FBs1DbMajKLgdUGolKZJukTQgghRPYgiVl6mSgx23h+I93XdiciLgJvZ29+7/w7NYtkn06KQgghhDAdGZWZbklVn+n7EmoVLRN2TqDVylZExEVQq0gtDvc/LEmZEEIIkYtJjVl6ZaDG7HHsY95b+x6bLmwCYHC1wcxoMgNbK1tTRiiEEEKIbEYSs3RLX2IWGh5Km1/bcPHhReyt7VnYYqEsQC6EEEIIQBKz9EtHjdnWS1vptKYTEXERvOH2Buu6rONN7zczKUAhhBCpUalU+ukyZJCVsDSSmKWXkRPMLvpvEYM2D0KjaKjzRh3WdlmLp6Nn5sUnhBAiVY6Ojpw+fdrcYQiRKun8n25pqzFTFIVP//6UDzZ9gEbR8H6F99n2/jZJyoQQQgiRgtSYpVcamjIVRWF48HC+OfQNAF/U/4KxdcZK1bkQQgghUiU1ZumVhqbMT/7+RJ+ULWq5iM/qfiZJmRBCmFlMTAz+/v74+/sTExNj7nCEMCA1Zun1mhqzRf8tYtr+aQD82PpHelfunVWRCSGEeAVFUfQLV1vacjxCSI1Zur08MTt59yRD/hoC6JovJSkTQgghRFpIYpZeL2nKjNfEE7g+kARtAq1KtWJsnbFZH5sQQgghsiVpykyvlzRlLvpvEcfCjpHXIS/ftfpO+pQJIXIsjUZDQkKCucMwWlxcHEWLFtU/trKyMnNEuZONjY187VMhiVm6pUzMouOjmbxnMgCTG0ymgHMBcwQmhBCZSlEUwsLCePz4sblDSRetVsvChQsBuHPnDmq1NB6Zi7u7OwUKFJBKjBdIYpZeqdSYrTy1knvR9/B196VP5T5mCkwIITJXUlLm5eWFo6NjtntT1Wg0PH36FAAfHx+ptTEDRVGIiYnh3r17AHh7e5s5IsshiVl6JetjpigKC/5bAMDAagOxsbIxU2BCCJF5NBqNPinLmzevucNJF41Gg62tLQD29vaSmJmJg4MDAPfu3cPLy0u+D89IYpZeyWrMzt4/y5E7R7BR29CzUk/zxSWEEJkoqU+Zo6OjmSNJPysrKypUqGDuMATPf44SEhIkMXtGGtbTzTAx++PcHwA0LNZQllsSQuR42a35Ulgm+TlKSRKz9ErWlLnh3AYA2pRuY6aAhBBC5AZXr15FpVJx7NixTL3O0qVLcXd3z9RriJQkMUuvF5oyI+Ii+OfmPwC0LNXSjEEJIYR4mZ49e9K2bVu0Wi2hoaGEhoai1WrZuXMnKpVKP8p0586dtGnTBm9vb5ycnKhUqRIrVqx4ZdlJyVLSljdvXho3bszRo0ez4M4yzsfHh9mzZxvs69KlC+fPnzdPQLmYJGbp9jwxO3jzIAoKvu6+FHYtbN6whBBCvFLSiMCYmJhUl2Tav38/FSpU4Pfff+fEiRP06tWLwMBANm7c+Nqy//77b+7cucOWLVuIioqiWbNmL51WxNLngHNwcMDLy8vcYeQ6kpil1wtNmQduHgCgZpGa5otHCCGESYwZM4YvvviCt99+m+LFizNs2DCaNm3K2rVrX3tu3rx5KVCgAFWrVmX69OncvXuXgwcP6mvUVq1aRb169bC3t2fFihVotVomTZpE4cKFsbOzo1KlSgQHBxuUeejQISpXroy9vT1Vq1ZNUQuXWpPj+vXrU/Tf+vPPP6lWrRr29vZ4enrSrl07AAICArh27RojRozQ1/i9rNwFCxZQvHhxbG1tKV26ND/99JPB6yqVih9++IF27drh6OhIyZIl2bBhw2u/buI5SczS64WmzP039gNQs7AkZkKI3EdRFKLjo82yZdUi5E+ePMHDw8Ooc5Kmg4iPj9fv+/TTTxk2bBhnzpyhSZMmzJkzhxkzZjB9+nROnDhBkyZNaN26NRcuXAAgKiqKli1b4ufnx+HDh5kwYQKjRo0yOv5NmzbRrl07mjdvztGjRwkJCaF69eoArF27lsKFCzNp0iTu3LnDnTt3Ui1j3bp1DBs2jA8//JBTp04xYMAAevXqxY4dOwyOmzhxIp07d+bEiRM0b96c7t278/DhQ6Njzq1kuox0e56YHb5zGIC3Cr9lxniEEMI8YhJicA5yNsu1o0ZH4WTrlObjN27ciJubG1qt7m+4Wq1Go9G88pzVq1fz77//smjRojRf5/Hjx3zxxRc4OztTvXp1/YS2w4cPp3379vrjpk+fzieffELXrl0BmDp1Kjt27GD27NnMmzePX375Ba1Wy48//oi9vT3+/v7cvHmT//3vf2mOBeDLL7+ka9euTJw4Ub+vYsWKAHh4eGBlZYWLiwsFCrx8xZrp06fTs2dPBg4cCMDIkSP5559/mD59OvXr19cf17NnT7p16wbAlClT+Oabbzh06BBNmzY1KubcSmrM0utZjVmcJoH7MfcB8MvnZ86IhBBCvEb9+vU5fPgwK1asYMWKFRw+fJgffvjhpcfv2LGDXr168f333+Pv7//a8t9++22cnZ3JkycPx48fZ9WqVeTPn1//etWqVfWPIyIiuH37NrVq1TIoo1atWpw5cwaAM2fOUKFCBezt7fWv16xpfOvMsWPHaNiwodHnvejMmTOvjDXJi3PEOTk54erqqp/hX7ye1Jil17PELCI+GoCibkVxtMm+Ey4KIUR6Odo4EjU6ymzXNoaTkxMlSpQgMjISgBIlSry06W7Xrl20atWKWbNmERgYmKbyV61ahZ+fH3nz5k11qgknp7TX7qWVWq1O0aSbfGBBUrNqVrCxMVz5RqVS6WsoxetJjVl66RMz3S932XxlzRmNEEKYjUqlwsnWySxbeicotba2xtr65XUTO3fupEWLFkydOpX+/funudwiRYpQvHjxNM3/5erqSsGCBdm3b5/B/n379uHnp2uBKVu2LCdOnCA2Nlb/+j///GNwfL58+YiMjCQ6Olq/L/kcZxUqVCAkJOSlsdja2r62Sbds2bKvjFWYhtSYpZsuMXsSp/uUWNZTEjMhhMgOrKysqFSp0ktf37FjBy1btmTYsGF06NCBsLAwQJe8GDsA4HU++ugjxo8fT/HixalUqRJLlizh2LFj+nnT3n33XcaOHUu/fv0YPXo0V69eZfr06QZl1KhRA0dHR8aMGcPQoUM5ePAgS5cuNThm/PjxNGzYkOLFi9O1a1cSExPZvHkzn3zyCaCbx2z37t107doVOzs7PD1TrmDz0Ucf0blzZypXrkyjRo34888/Wbt2LX///bdJvya5ndSYpZeSlJhFAJKYCSFETrFs2TJiYmIICgrC29tbv73Yad9Uhg4dysiRI/nwww8pX748wcHBbNiwgZIlSwLg7OzMn3/+ycmTJ6lcuTJjx45l6tSpBmV4eHjw888/s3nzZsqXL8/KlSuZMGGCwTEBAQGsWbOGDRs2UKlSJRo0aMChQ4f0r0+aNImrV69SvHhx8uXLl2qsbdu2Zc6cOUyfPh1/f38WLVrEkiVLCAgIMOnXJLdTKVk11thMbt68SZEiRbhx4waFC5tw8tczM+Hoh/wR50rb6xFsD9xOfd/6rz9PCCGysdjYWK5cuYKvr69Bh3Qh0uNVP0+Z9v5t4aQpM910NWZRCbo2/SJuRcwZjBBCiDTSarX6ecJKliyJWi2NR8JySGKWXs+aMuO1us6SshSTEEJkD4qi6Edl5vBGI5ENyceE9HqWmGkV8HT0xN5aqvSFEEIIkTGSmKWbVv9vEVdpxhRCCCFExklill7K88RMmjGFEEIIYQqSmKXXC02ZUmMmhBBCCFOQxCy9pMZMCCGEECYmozLT7XliVtCloHlDEUIIYRSZIkNYKknM0uuFpsx8TqnPkiyEEMLyWFlZ8eabb5o7DCFSJR8Z0uuFpsy8DnnNG4sQQohsJyAggOHDh5s7DGFhJDFLt+eJmadjysVehRBCWJaePXuiUqlQqVTY2Njg6+vLxx9/TGxsbJrLyOpkysfHRx+zk5MTb775JmvWrMmy64usJ4lZOiVq4oFnNWaOUmMmhBDZQdOmTbl16xYhISF89NFHLFq0iPHjx5s7rFeaNGkSd+7c4ejRo1SrVo0uXbqwf/9+c4cFQHx8vLlDyHEkMUunpwkxzx6pcLNzM2ssQggh0sbOzo78+fPj6OhI9erVadiwIdu2bQPgwYMHdOvWjUKFCuHo6Ej58uVZuXKl/tyePXuya9cu5syZo6/Funr1KgCnTp2iWbNmODs7kz9/ft5//33u37+vPzc6OprAwECcnZ3x9vZmxowZaY7ZxcWFAgUKUKpUKebNm4eDgwN//vknACdPnqRBgwY4ODiQN29e+vfvT1RUlD4mtVpNeHg4AA8fPkStVtO1a1d92ZMnT6Z27dr656+7j4CAAAYPHszw4cPx9PSkSZMmab4PkTaSmKVT7LPFy+2sHVCpVGaORgghzC86OvqlW/Lmwlcd+/Tp0zQdm1EXL17kwIED2NraAhAbG0uVKlXYtGkTp06don///rz//vscOnQI4P/t3XlUU1ceB/BvICQQkH0JoCwKBVQqKJUiakCZotKq055WHVR0rHN09AjVUrBatXVcaNVCO3WrHdvpuFeqjiIuCFEWERCwCCKuWGVplVUQAtz5g8mrEVTQSGLy+5yTc+C++9773d8JyY+b+14QFxcHPz8/zJ49G2VlZSgrK0OfPn1QXV2NUaNGwdvbG9nZ2UhMTERFRQXee+897lyRkZGQSqU4ePAgjh8/jpSUFJw/f77bMfP5fOjp6aG5uRn3799HcHAwzMzMkJWVhX379uHkyZOYP38+AGDAgAGwsLCAVCoFAJw5c0bhdwCQSqUICAgAgC6NAwB++OEHCAQCpKWlYfPmzd0eA3kKpuFu3brFALBbt24p9bg3k95mbAfY5u8slXpcQghRZ42NjaywsJA1NjZ22AbgsY9x48Yp9BWJRI/tK5FIFPpaWlp22q+7wsLCmK6uLjM0NGQCgYABYDo6Ouynn3567D4hISFs0aJF3O8SiYSFh4cr9Fm5ciV74403FNrk7z3FxcWsrq6OCQQCtnfvXm773bt3mYGBQYdjPcrR0ZF9+eWXjDHGmpqa2OrVqxkAdvjwYbZ161ZmZmbG6uvruf5HjhxhOjo6rLy8nDHG2Ntvv83mzZvHGGMsIiKCRUZGMjMzM1ZUVMSam5uZSCRix48f79I45OP39vZ+Yszd8aTn04t6/1Z3L8WM2TfffAMnJyfo6+vD19eX++9FlZpa2j/K1NcTqTgSQgghXRUYGIicnBxs374dISEhmDFjBt555x0AQGtrK1auXAlPT0+Ym5vDyMgIx44dQ2lp6ROPmZ+fj+TkZBgZGXEPd3d3AMDVq1dx9epVNDc3w9fXl9vH3Nwcbm5u3O+rV69W2P/hc0ZFRcHIyAgikQgxMTFYu3YtQkJCUFRUhEGDBsHQ0JDr6+/vj7a2NhQXFwMAJBIJUlJSALTPjo0aNQojR45ESkoKsrKyIJPJ4O/v36VxyA0ZMqTbee9J3a0Z9u3bB3d3d+jr68PT0xMJCQk9FGnn1P4+Znv27MHChQuxefNm+Pr6IjY2FsHBwSguLoa1tbXK4nrw/zVmBnwqzAghBAC3tqkzurq6Cr9XVlY+tu+jN3+Vr+NSBkNDQ7i4uKCurg7Lli3DrFmz8N1332HWrFn44osvEBcXh9jYWHh6esLQ0BARERFPXeBeX1+Pt956CzExMR222dra4sqVK0+Na86cOQofGdrZ/XHj8sjISMyYMYNb99Wd5TPyq0hLSkpQWFiI4cOH49KlS0hJSUFVVRV8fHwgEom6NA65hwtBddPdmiE9PR1TpkzBmjVr8Oabb2Lnzp2YOHEizp8/j4EDB6pgBC/BGrMNGzZg9uzZmDlzJvr374/NmzdDJBLhX//6l0rjetDSvgaCZswIIaSdoaHhYx/6+vpd7mtgYNClvs9LR0cH0dHRWLp0KRobG5GWloYJEyZg6tSpGDRoEPr27YvLly8r7CMQCNDa2qrQNnjwYFy8eBFOTk5wcXFReBgaGqJfv37Q09NDZmYmt09VVZXCsc3NzRX24/P/mDextLSEi4sLxGKxQlHm4eGB/Px8hfV2aWlp0NHR4WbjPD09YWZmhn/84x/w8vKCkZERAgICIJVKkZKSwq0v68o4XgbdrRni4uIwZswYREZGwsPDAytXrsTgwYPxz3/+s4cj/4Naz5g1NzcjJycHixcv5tp0dHQQFBSEjIyMTvdpampCU1MT93tdXR0AoKWlBTKZTGmxyWTtC1kN9Xop9biEEKLOWlpa0NraqvTX1J4gXzgvk8nQ1tZ+L8qJEydi+fLl2LRpE9zd3XHw4EGkpqbC1NQU33zzDWpqarh9AMDFxQW5ubm4evUqDA0NYWZmhjlz5uDHH3/E9OnTER4eDjMzM1y7dg379+/H119/DaFQiL/97W9YunQpzM3NYWVlhc8++wyGhobQ1dV9Yh6FQiF4PF6nfSZNmoQ1a9bg/fffx+LFi/H777/jww8/xMyZM2Fubs7tM3r0aMTHx2PBggWQyWTw8PAAj8dDeno6PvjgA67f08ahq6sLgUDw1Ji740nPp5aWFgDt7+O1tbUKOREKhR2O9Sw1Q0ZGBhYuXKjQFhwcjAMHDjzrkJ4bjzHGVHb2p7hz5w7s7e2Rnp4OPz8/rv2jjz6CVCpV+O9DbsWKFfj00087tO/cuZObrlUGz6atcGw5iWK9SSgRvKO04xJCCCEEaGhowF/+8pcO7cuXL8eKFSs6tD9LzSAQCPDDDz9gypQpXNvGjRvx6aefoqKiQjkD6Sa1njF7FosXL1aofm/fvo3+/fvDz88P9vb2SjzTOLQyhr6sDa46uk/vTgghGqCpqQk3btyAk5NTp7MWhHTHk55Pt2/fBgAUFhYqvH9r+vNOrQszS0tL6OrqdqhaKyoqIBaLO93n0SlO+fSnfAqbEELIs2ttbYWuri69phKleNLzSb7OrlevXjA2Nn7qsZ6lZhCLxd3q3xPUevG/QCDAkCFDkJSUxLW1tbUhKSlJYZqSEEIIIdrtWWoGPz8/hf4AcOLECZXWGGo9YwYACxcuRFhYGHx8fDB06FDExsbi/v37mDlzpqpDI4QQQogaeVrNMH36dNjb22PNmjUAgPDwcEgkEqxfvx4hISHYvXs3srOzsXXrVpWNQe0Ls0mTJuG3337DsmXLUF5eDi8vLyQmJsLGxkbVoRFCCCFEjTytZigtLVW4T96wYcOwc+dOLF26FB9//DFcXV1x4MABld3DDFDzqzKV4ddff0WfPn1w69Yt9O7dW9XhEELIS+3Bgwe4fv06nJ2dO9ybjJDuetLzSVvfv9V6jRkhhBD1pOH/05MeQs+jjqgwI4QQ0mXyK+caGhpUHAnRBPLnEV3h+we1X2NGCCFEfejq6sLU1JT7rkuRSNSt724kBGifKWtoaEBlZSVMTU07fJeqNqPCjBBCSLfI7/H0pC8iJ6QrTE1NVXrPMHVEhRkhhJBu4fF4sLW1hbW19Uv3fZlEfejp6dFMWSeoMCOEEPJMdHV16Y2VECWjxf+EEEIIIWqCCjNCCCGEEDVBhRkhhBBCiJrQ+DVmbW1tAICysjIVR0IIIYSQrpK/b8vfx7WFxhdmFRUVAIChQ4eqOBJCCCGEdFdFRQUcHBxUHUaP0fjvymxpaUFubi5sbGwUvrj0ZVBXV4f+/fujsLAQvXr1UnU4KkN5oBzIUR4oB3KUh3aanIe2tjZUVFTA29sbfL7GzyNxNL4we5nV1tbCxMQENTU1MDY2VnU4KkN5oBzIUR4oB3KUh3aUB83zck0hEUIIIYRoMCrMCCGEEELUBBVmakwoFGL58uUQCoWqDkWlKA+UAznKA+VAjvLQjvKgeWiNGSGEEEKImqAZM0IIIYQQNUGFGSGEEEKImqDCjBBCCCFETVBhRgghhBCiJqgw62Fr1qzBa6+9hl69esHa2hoTJ05EcXGxQp8HDx5g3rx5sLCwgJGREd555x3uq6XkSktLERISApFIBGtra0RGRqKlpaUnh6I0a9euBY/HQ0REBNemLTm4ffs2pk6dCgsLCxgYGMDT0xPZ2dncdsYYli1bBltbWxgYGCAoKAglJSUKx7h37x5CQ0NhbGwMU1NTzJo1C/X19T09lGfW2tqKTz75BM7OzjAwMEC/fv2wcuVKPHxdkqbl4fTp03jrrbdgZ2cHHo+HAwcOKGxX1ngvXLiAESNGQF9fH3369MHnn3/+oofWLU/Kg0wmQ1RUFDw9PWFoaAg7OztMnz4dd+7cUTiGpufhUXPmzAGPx0NsbKxCuybkgfwfIz0qODiYbd++nRUUFLC8vDw2btw45uDgwOrr67k+c+bMYX369GFJSUksOzubvf7662zYsGHc9paWFjZw4EAWFBTEcnNzWUJCArO0tGSLFy9WxZCey7lz55iTkxN79dVXWXh4ONeuDTm4d+8ec3R0ZDNmzGCZmZns2rVr7NixY+zKlStcn7Vr1zITExN24MABlp+fz8aPH8+cnZ1ZY2Mj12fMmDFs0KBB7OzZs+zMmTPMxcWFTZkyRRVDeiarVq1iFhYW7PDhw+z69ets3759zMjIiMXFxXF9NC0PCQkJbMmSJSw+Pp4BYD///LPCdmWMt6amhtnY2LDQ0FBWUFDAdu3axQwMDNiWLVt6aphP9aQ8VFdXs6CgILZnzx526dIllpGRwYYOHcqGDBmicAxNz8PD4uPj2aBBg5idnR378ssvFbZpQh5IOyrMVKyyspIBYFKplDHW/mKkp6fH9u3bx/UpKipiAFhGRgZjrP2PWEdHh5WXl3N9Nm3axIyNjVlTU1PPDuA51NXVMVdXV3bixAkmkUi4wkxbchAVFcWGDx/+2O1tbW1MLBazL774gmurrq5mQqGQ7dq1izHGWGFhIQPAsrKyuD5Hjx5lPB6P3b59+8UFr0QhISHsr3/9q0Lb22+/zUJDQxljmp+HR9+IlTXejRs3MjMzM4W/h6ioKObm5vaCR/RsnlSQyJ07d44BYDdv3mSMaVcefv31V2Zvb88KCgqYo6OjQmGmiXnQZvRRporV1NQAAMzNzQEAOTk5kMlkCAoK4vq4u7vDwcEBGRkZAICMjAx4enrCxsaG6xMcHIza2lpcvHixB6N/PvPmzUNISIjCWAHtycGhQ4fg4+ODd999F9bW1vD29sa3337Lbb9+/TrKy8sV8mBiYgJfX1+FPJiamsLHx4frExQUBB0dHWRmZvbcYJ7DsGHDkJSUhMuXLwMA8vPzkZqairFjxwLQnjzIKWu8GRkZGDlyJAQCAdcnODgYxcXFqKqq6qHRKFdNTQ14PB5MTU0BaE8e2traMG3aNERGRmLAgAEdtmtLHrSF9nxduxpqa2tDREQE/P39MXDgQABAeXk5BAIB98IjZ2Njg/Lycq7PwwWJfLt828tg9+7dOH/+PLKysjps05YcXLt2DZs2bcLChQvx8ccfIysrCwsWLIBAIEBYWBg3js7G+XAerK2tFbbz+XyYm5u/NHmIjo5GbW0t3N3doauri9bWVqxatQqhoaEAoDV5kFPWeMvLy+Hs7NzhGPJtZmZmLyT+F+XBgweIiorClClTuC/r1pY8xMTEgM/nY8GCBZ1u15Y8aAsqzFRo3rx5KCgoQGpqqqpD6VG3bt1CeHg4Tpw4AX19fVWHozJtbW3w8fHB6tWrAQDe3t4oKCjA5s2bERYWpuLoes7evXuxY8cO7Ny5EwMGDEBeXh4iIiJgZ2enVXkgjyeTyfDee++BMYZNmzapOpwelZOTg7i4OJw/fx48Hk/V4ZAeQB9lqsj8+fNx+PBhJCcno3fv3ly7WCxGc3MzqqurFfpXVFRALBZzfR69QlH+u7yPOsvJyUFlZSUGDx4MPp8PPp8PqVSKr776Cnw+HzY2NhqfAwCwtbVF//79Fdo8PDxQWloK4I9xdDbOh/NQWVmpsL2lpQX37t17afIQGRmJ6OhoTJ48GZ6enpg2bRo++OADrFmzBoD25EFOWePVhL8R4I+i7ObNmzhx4gQ3WwZoRx7OnDmDyspKODg4cK+XN2/exKJFi+Dk5ARAO/KgTagw62GMMcyfPx8///wzTp061WFqeciQIdDT00NSUhLXVlxcjNLSUvj5+QEA/Pz88Msvvyj8IcpfsB59o1dHo0ePxi+//IK8vDzu4ePjg9DQUO5nTc8BAPj7+3e4Vcrly5fh6OgIAHB2doZYLFbIQ21tLTIzMxXyUF1djZycHK7PqVOn0NbWBl9f3x4YxfNraGiAjo7iS5Guri7a2toAaE8e5JQ1Xj8/P5w+fRoymYzrc+LECbi5ub00H1vJi7KSkhKcPHkSFhYWCtu1IQ/Tpk3DhQsXFF4v7ezsEBkZiWPHjgHQjjxoFVVffaBt5s6dy0xMTFhKSgorKyvjHg0NDVyfOXPmMAcHB3bq1CmWnZ3N/Pz8mJ+fH7ddfquIN954g+Xl5bHExERmZWX1Ut0q4lEPX5XJmHbk4Ny5c4zP57NVq1axkpIStmPHDiYSidh//vMfrs/atWuZqakpO3jwILtw4QKbMGFCp7dN8Pb2ZpmZmSw1NZW5urqq7W0iOhMWFsbs7e2522XEx8czS0tL9tFHH3F9NC0PdXV1LDc3l+Xm5jIAbMOGDSw3N5e72lAZ462urmY2NjZs2rRprKCggO3evZuJRCK1uj3Ck/LQ3NzMxo8fz3r37s3y8vIUXi8fvrJQ0/PQmUevymRMM/JA2lFh1sMAdPrYvn0716exsZH9/e9/Z2ZmZkwkErE///nPrKysTOE4N27cYGPHjmUGBgbM0tKSLVq0iMlksh4ejfI8WphpSw7++9//soEDBzKhUMjc3d3Z1q1bFba3tbWxTz75hNnY2DChUMhGjx7NiouLFfrcvXuXTZkyhRkZGTFjY2M2c+ZMVldX15PDeC61tbUsPDycOTg4MH19fda3b1+2ZMkShTdfTctDcnJyp68DYWFhjDHljTc/P58NHz6cCYVCZm9vz9auXdtTQ+ySJ+Xh+vXrj329TE5O5o6h6XnoTGeFmSbkgbTjMfbQ7bUJIYQQQojK0BozQgghhBA1QYUZIYQQQoiaoMKMEEIIIURNUGFGCCGEEKImqDAjhBBCCFETVJgRQgghhKgJKswIIYQQQtQEFWaEEKXi8Xg4cOCAqsNQuu+//x48Hg88Hg8RERFcu5OTE2JjY5V+PicnJ+58j35vLCFEc1FhRoiGkr+pP+6xYsWKx+5748YN8Hg85OXlKT2uGTNmcDEIBAK4uLjgs88+Q0tLi9LPpWzGxsYoKyvDypUru9R/8+bN6NWrl8LY6uvroaenh4CAAIW+KSkp4PF4uHr1KgAgKysL+/fvV1rshJCXA1/VARBCXoyysjLu5z179mDZsmUKX5puZGSkirAAAGPGjMH27dvR1NSEhIQEzJs3D3p6eli8eLHKYpJrbm6GQCDodBuPx4NYLO7ysQIDA1FfX4/s7Gy8/vrrAIAzZ85ALBYjMzMTDx48gL6+PgAgOTkZDg4O6NevHwDAysoK5ubmzzkaQsjLhmbMCNFQYrGYe5iYmHBFhVgshrW1NTZs2IDevXtDKBTCy8sLiYmJ3L7Ozs4AAG9vb/B4PG52JysrC3/6059gaWkJExMTSCQSnD9/vtuxCYVCiMViODo6Yu7cuQgKCsKhQ4cAAFVVVZg+fTrMzMwgEokwduxYlJSUAAAYY7CyssJPP/3EHcvLywu2trbc76mpqRAKhWhoaAAAVFdX4/3334eVlRWMjY0xatQo5Ofnc/1XrFgBLy8vbNu2Dc7Ozlyh9Ky2bdsGU1NTJCUlwc3NDba2tkhJSeG2p6SkYMKECXB2dsbZs2cV2gMDA5/r3ISQlx8VZoRoobi4OKxfvx7r1q3DhQsXEBwcjPHjx3MF0Llz5wAAJ0+eRFlZGeLj4wEAdXV1CAsLQ2pqKs6ePQtXV1eMGzcOdXV1zxWPgYEBmpubAbR/1JmdnY1Dhw4hIyMDjDGMGzcOMpkMPB4PI0eO5AqdqqoqFBUVobGxEZcuXQIASKVSvPbaaxCJRACAd999F5WVlTh69ChycnIwePBgjB49Gvfu3ePOf+XKFezfvx/x8fHP9fHt559/jujoaBw/fhyjR48G0D5rlpyczPVJTk5GQEAAJBIJ197Y2IjMzEwqzAghVJgRoo3WrVuHqKgoTJ48GW5uboiJiYGXlxe3iN3KygoAYGFhAbFYzH2kNmrUKEydOhXu7u7w8PDA1q1b0dDQAKlU+kxxMMZw8uRJHDt2DKNGjUJJSQkOHTqEbdu2YcSIERg0aBB27NiB27dvcxcUBAQEcIXZ6dOn4e3trdCWkpICiUQCoH327Ny5c9i3bx98fHzg6uqKdevWwdTUVGHWrbm5Gf/+97/h7e2NV1999ZnGEhUVhdjYWEilUgwdOpRrDwwMRFpaGlpaWlBXV4fc3FxIJBKFAjMjIwNNTU1UmBFCqDAjRNvU1tbizp078Pf3V2j39/dHUVHRE/etqKjA7Nmz4erqChMTExgbG6O+vh6lpaXdiuHw4cMwMjKCvr4+xo4di0mTJmHFihUoKioCn8+Hr68v19fCwgJubm5cbBKJBIWFhfjtt98glUoREBDAFWYymQzp6encR6/5+fmor6+HhYUFjIyMuMf169e5RfYA4OjoyBWjz2L9+vX49ttvkZqaigEDBihsCwgIwP3795GVlYUzZ87glVdegZWVFSQSCbfOLCUlBX379oWDg8Mzx0AI0Qy0+J8Q0mVhYWG4e/cu4uLi4OjoCKFQCD8/P+5jyK4KDAzEpk2bIBAIYGdnBz6/6y9Fnp6eMDc3h1QqhVQqxapVqyAWixETE4OsrCzIZDIMGzYMQPsVkI+u8ZIzNTXlfjY0NOxW/I8aMWIEjhw5gr179yI6Olphm4uLC3r37o3k5GRUVVVxs3l2dnbo06cP0tPTkZycjFGjRj1XDIQQzUCFGSFaxtjYGHZ2dkhLS+OKBABIS0vjPoKTX5XY2tqqsG9aWho2btyIcePGAQBu3bqF33//vdsxGBoawsXFpUO7h4cHWlpakJmZyRVXd+/eRXFxMfr37w+g/crIESNG4ODBg7h48SKGDx8OkUiEpqYmbNmyBT4+PlyhNXjwYJSXl4PP58PJyanbcXbV0KFDMX/+fIwZMwZ8Ph8ffvihwvbAwECkpKSgqqoKkZGRXPvIkSNx9OhRnDt3DnPnzn1h8RFCXh70USYhWigyMhIxMTHYs2cPiouLER0djby8PISHhwMArK2tYWBggMTERFRUVKCmpgYA4Orqih9//BFFRUXIzMxEaGgoDAwMlBaXq6srJkyYgNmzZyM1NRX5+fmYOnUq7O3tMWHCBK5fQEAAdu3aBS8vLxgZGUFHRwcjR47Ejh07FIrNoKAg+Pn5YeLEiTh+/Dhu3LiB9PR0LFmyBNnZ2UqLGwCGDRuGhIQEfPrppx1uOBsYGIjU1FTk5eUpxCeRSLBlyxY0NzfT+jJCCAAqzAjRSgsWLMDChQuxaNEieHp6IjExEYcOHYKrqysAgM/n46uvvsKWLVtgZ2fHFUXfffcdqqqqMHjwYEybNg0LFiyAtbW1UmPbvn07hgwZgjfffBN+fn5gjCEhIQF6enpcH4lEgtbWVoWbtAYEBHRo4/F4SEhIwMiRIzFz5ky88sormDx5Mm7evAkbGxulxg0Aw4cPx5EjR7B06VJ8/fXXXHtgYCAaGxvh4uKicF6JRIK6ujruthqEEMJjjDFVB0EIIeru+++/R0RERI9+PZL83mZVVVUKa+IIIZqLZswIIaSLampqYGRkhKioqBd+rgEDBmDs2LEv/DyEEPVCM2aEENIFdXV1qKioANB+RaelpeULPd/Nmzchk8kAAH379oWODv0fTYg2oMKMEEIIIURN0L9ghBBCCCFqggozQgghhBA1QYUZIYQQQoiaoMKMEEIIIURNUGFGCCGEEKImqDAjhBBCCFETVJgRQgghhKgJKswIIYQQQtQEFWaEEEIIIWrif1LICKg1kpYbAAAAAElFTkSuQmCC",
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",
             "text/plain": [
               "<Figure size 640x480 with 2 Axes>"
             ]
@@ -214,12 +259,8 @@
         "power_kW = results_df['power_signal'] / 1e3\n",
         "h2rate_kg_hr = results_df['kg_rate'] * 3600 \n",
         "\n",
-        "lhv = 33.33 # kWh/kg\n",
-        "\n",
-        "eff_conv = lhv * h2rate_kg_hr / power_kW\n",
-        "\n",
-        "eta_kWh_kg = power_kW / h2rate_kg_hr\n",
-        "print(f\"Minimum Energy Conversion: {eta_kWh_kg.min():.2f} kW/kg\")\n",
+        "lhv = 33.33 \n",
+        "eff_conv = lhv * h2rate_kg_hr / power_kW \n",
         "\n",
         "fig, ax = plt.subplots()\n",
         "ax.set_title('H2 Production and Conversion Efficiency')\n",
diff --git a/examples/example_06_conversion_efficiency/modeling_options.yaml b/examples/example_06_conversion_efficiency/modeling_options.yaml
index 2aad373..ab9a923 100644
--- a/examples/example_06_conversion_efficiency/modeling_options.yaml
+++ b/examples/example_06_conversion_efficiency/modeling_options.yaml
@@ -4,7 +4,7 @@ general:
 electrolyzer:
     dt: 1 # default
     initialize: True #
-    initial_power_kW: 1500.
+    initial_power_kW: 1250.
     stack:
         cell_area: 1500.0
         max_current: 3000